+ 
+ 
+ 
+ 
Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including [Opik](https://www.comet.com/docs/opik/integrations/dify), [Langfuse](https://docs.langfuse.com), and [Arize Phoenix](https://docs.arize.com/phoenix)) and more, letting you quickly go from prototype to production. Here's a list of the core features:
diff --git a/api/.env.example b/api/.env.example
index 9672a99d55..c6541731e6 100644
--- a/api/.env.example
+++ b/api/.env.example
@@ -127,7 +127,8 @@ ALIYUN_OSS_AUTH_VERSION=v1
ALIYUN_OSS_REGION=your-region
# Don't start with '/'. OSS doesn't support leading slash in object names.
ALIYUN_OSS_PATH=your-path
-ALIYUN_CLOUDBOX_ID=your-cloudbox-id
+# Optional CloudBox ID for Aliyun OSS, DO NOT enable it if you are not using CloudBox.
+#ALIYUN_CLOUDBOX_ID=your-cloudbox-id
# Google Storage configuration
GOOGLE_STORAGE_BUCKET_NAME=your-bucket-name
diff --git a/api/.importlinter b/api/.importlinter
index c2841f64d2..5e06947d94 100644
--- a/api/.importlinter
+++ b/api/.importlinter
@@ -3,7 +3,6 @@ root_packages =
core
constants
context
- graphon
configs
controllers
extensions
@@ -13,152 +12,3 @@ root_packages =
tasks
services
include_external_packages = True
-
-[importlinter:contract:workflow]
-name = Workflow
-type=layers
-layers =
- graph_engine
- graph_events
- graph
- nodes
- node_events
- runtime
- entities
-containers =
- graphon
-ignore_imports =
- graphon.nodes.base.node -> graphon.graph_events
- graphon.nodes.iteration.iteration_node -> graphon.graph_events
- graphon.nodes.loop.loop_node -> graphon.graph_events
-
- graphon.nodes.iteration.iteration_node -> graphon.graph_engine
- graphon.nodes.loop.loop_node -> graphon.graph_engine
- # TODO(QuantumGhost): fix the import violation later
- graphon.entities.pause_reason -> graphon.nodes.human_input.entities
-
-[importlinter:contract:workflow-external-imports]
-name = Workflow External Imports
-type = forbidden
-source_modules =
- graphon
-forbidden_modules =
- constants
- configs
- context
- controllers
- extensions
- factories
- libs
- models
- services
- tasks
- core.agent
- core.app
- core.base
- core.callback_handler
- core.datasource
- core.db
- core.entities
- core.errors
- core.extension
- core.external_data_tool
- core.file
- core.helper
- core.hosting_configuration
- core.indexing_runner
- core.llm_generator
- core.logging
- core.mcp
- core.memory
- core.moderation
- core.ops
- core.plugin
- core.prompt
- core.provider_manager
- core.rag
- core.repositories
- core.schemas
- core.tools
- core.trigger
- core.variables
-
-[importlinter:contract:workflow-third-party-imports]
-name = Workflow Third-Party Imports
-type = forbidden
-source_modules =
- graphon
-forbidden_modules =
- sqlalchemy
-
-[importlinter:contract:rsc]
-name = RSC
-type = layers
-layers =
- graph_engine
- response_coordinator
-containers =
- graphon.graph_engine
-
-[importlinter:contract:worker]
-name = Worker
-type = layers
-layers =
- graph_engine
- worker
-containers =
- graphon.graph_engine
-
-[importlinter:contract:graph-engine-architecture]
-name = Graph Engine Architecture
-type = layers
-layers =
- graph_engine
- orchestration
- command_processing
- event_management
- error_handler
- graph_traversal
- graph_state_manager
- worker_management
- domain
-containers =
- graphon.graph_engine
-
-[importlinter:contract:domain-isolation]
-name = Domain Model Isolation
-type = forbidden
-source_modules =
- graphon.graph_engine.domain
-forbidden_modules =
- graphon.graph_engine.worker_management
- graphon.graph_engine.command_channels
- graphon.graph_engine.layers
- graphon.graph_engine.protocols
-
-[importlinter:contract:worker-management]
-name = Worker Management
-type = forbidden
-source_modules =
- graphon.graph_engine.worker_management
-forbidden_modules =
- graphon.graph_engine.orchestration
- graphon.graph_engine.command_processing
- graphon.graph_engine.event_management
-
-
-[importlinter:contract:graph-traversal-components]
-name = Graph Traversal Components
-type = layers
-layers =
- edge_processor
- skip_propagator
-containers =
- graphon.graph_engine.graph_traversal
-
-[importlinter:contract:command-channels]
-name = Command Channels Independence
-type = independence
-modules =
- graphon.graph_engine.command_channels.in_memory_channel
- graphon.graph_engine.command_channels.redis_channel
diff --git a/api/app_factory.py b/api/app_factory.py
index 066eb2ae2c..76838f9925 100644
--- a/api/app_factory.py
+++ b/api/app_factory.py
@@ -143,6 +143,7 @@ def initialize_extensions(app: DifyApp):
ext_commands,
ext_compress,
ext_database,
+ ext_enterprise_telemetry,
ext_fastopenapi,
ext_forward_refs,
ext_hosting_provider,
@@ -193,6 +194,7 @@ def initialize_extensions(app: DifyApp):
ext_commands,
ext_fastopenapi,
ext_otel,
+ ext_enterprise_telemetry,
ext_request_logging,
ext_session_factory,
]
diff --git a/api/configs/app_config.py b/api/configs/app_config.py
index d3b1cf9d5b..831f0a49e0 100644
--- a/api/configs/app_config.py
+++ b/api/configs/app_config.py
@@ -8,7 +8,7 @@ from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, Settings
from libs.file_utils import search_file_upwards
from .deploy import DeploymentConfig
-from .enterprise import EnterpriseFeatureConfig
+from .enterprise import EnterpriseFeatureConfig, EnterpriseTelemetryConfig
from .extra import ExtraServiceConfig
from .feature import FeatureConfig
from .middleware import MiddlewareConfig
@@ -73,6 +73,8 @@ class DifyConfig(
# Enterprise feature configs
# **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
EnterpriseFeatureConfig,
+ # Enterprise telemetry configs
+ EnterpriseTelemetryConfig,
):
model_config = SettingsConfigDict(
# read from dotenv format config file
diff --git a/api/configs/enterprise/__init__.py b/api/configs/enterprise/__init__.py
index f8447c6979..8a6a921a4e 100644
--- a/api/configs/enterprise/__init__.py
+++ b/api/configs/enterprise/__init__.py
@@ -22,3 +22,52 @@ class EnterpriseFeatureConfig(BaseSettings):
ENTERPRISE_REQUEST_TIMEOUT: int = Field(
ge=1, description="Maximum timeout in seconds for enterprise requests", default=5
)
+
+
+class EnterpriseTelemetryConfig(BaseSettings):
+ """
+ Configuration for enterprise telemetry.
+ """
+
+ ENTERPRISE_TELEMETRY_ENABLED: bool = Field(
+ description="Enable enterprise telemetry collection (also requires ENTERPRISE_ENABLED=true).",
+ default=False,
+ )
+
+ ENTERPRISE_OTLP_ENDPOINT: str = Field(
+ description="Enterprise OTEL collector endpoint.",
+ default="",
+ )
+
+ ENTERPRISE_OTLP_HEADERS: str = Field(
+ description="Auth headers for OTLP export (key=value,key2=value2).",
+ default="",
+ )
+
+ ENTERPRISE_OTLP_PROTOCOL: str = Field(
+ description="OTLP protocol: 'http' or 'grpc' (default: http).",
+ default="http",
+ )
+
+ ENTERPRISE_OTLP_API_KEY: str = Field(
+ description="Bearer token for enterprise OTLP export authentication.",
+ default="",
+ )
+
+ ENTERPRISE_INCLUDE_CONTENT: bool = Field(
+ description="Include input/output content in traces (privacy toggle).",
+ # Setting the default value to False to avoid accidentally log PII data in traces.
+ default=False,
+ )
+
+ ENTERPRISE_SERVICE_NAME: str = Field(
+ description="Service name for OTEL resource.",
+ default="dify",
+ )
+
+ ENTERPRISE_OTEL_SAMPLING_RATE: float = Field(
+ description="Sampling rate for enterprise traces (0.0 to 1.0, default 1.0 = 100%).",
+ default=1.0,
+ ge=0.0,
+ le=1.0,
+ )
diff --git a/api/controllers/common/fields.py b/api/controllers/common/fields.py
index 515a6a5125..7348ef62aa 100644
--- a/api/controllers/common/fields.py
+++ b/api/controllers/common/fields.py
@@ -2,9 +2,9 @@ from __future__ import annotations
from typing import Any, TypeAlias
+from graphon.file import helpers as file_helpers
from pydantic import BaseModel, ConfigDict, computed_field
-from graphon.file import helpers as file_helpers
from models.model import IconType
JSONValue: TypeAlias = str | int | float | bool | None | dict[str, Any] | list[Any]
diff --git a/api/controllers/console/app/app.py b/api/controllers/console/app/app.py
index 357697ed30..738e77b371 100644
--- a/api/controllers/console/app/app.py
+++ b/api/controllers/console/app/app.py
@@ -5,6 +5,8 @@ from typing import Any, Literal, TypeAlias
from flask import request
from flask_restx import Resource
+from graphon.enums import WorkflowExecutionStatus
+from graphon.file import helpers as file_helpers
from pydantic import AliasChoices, BaseModel, ConfigDict, Field, computed_field, field_validator
from sqlalchemy import select
from sqlalchemy.orm import Session
@@ -27,8 +29,6 @@ from core.ops.ops_trace_manager import OpsTraceManager
from core.rag.retrieval.retrieval_methods import RetrievalMethod
from core.trigger.constants import TRIGGER_NODE_TYPES
from extensions.ext_database import db
-from graphon.enums import WorkflowExecutionStatus
-from graphon.file import helpers as file_helpers
from libs.login import current_account_with_tenant, login_required
from models import App, DatasetPermissionEnum, Workflow
from models.model import IconType
diff --git a/api/controllers/console/app/audio.py b/api/controllers/console/app/audio.py
index 91fbe4a85a..78ddb904e1 100644
--- a/api/controllers/console/app/audio.py
+++ b/api/controllers/console/app/audio.py
@@ -2,6 +2,7 @@ import logging
from flask import request
from flask_restx import Resource, fields
+from graphon.model_runtime.errors.invoke import InvokeError
from pydantic import BaseModel, Field
from werkzeug.exceptions import InternalServerError
@@ -22,7 +23,6 @@ from controllers.console.app.error import (
from controllers.console.app.wraps import get_app_model
from controllers.console.wraps import account_initialization_required, setup_required
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
-from graphon.model_runtime.errors.invoke import InvokeError
from libs.login import login_required
from models import App, AppMode
from services.audio_service import AudioService
diff --git a/api/controllers/console/app/completion.py b/api/controllers/console/app/completion.py
index fe274e4c9a..d83925d173 100644
--- a/api/controllers/console/app/completion.py
+++ b/api/controllers/console/app/completion.py
@@ -3,6 +3,7 @@ from typing import Any, Literal
from flask import request
from flask_restx import Resource
+from graphon.model_runtime.errors.invoke import InvokeError
from pydantic import BaseModel, Field, field_validator
from werkzeug.exceptions import InternalServerError, NotFound
@@ -26,7 +27,6 @@ from core.errors.error import (
QuotaExceededError,
)
from core.helper.trace_id_helper import get_external_trace_id
-from graphon.model_runtime.errors.invoke import InvokeError
from libs import helper
from libs.helper import uuid_value
from libs.login import current_user, login_required
diff --git a/api/controllers/console/app/generator.py b/api/controllers/console/app/generator.py
index c720a5e074..7101d5df7b 100644
--- a/api/controllers/console/app/generator.py
+++ b/api/controllers/console/app/generator.py
@@ -1,6 +1,7 @@
from collections.abc import Sequence
from flask_restx import Resource
+from graphon.model_runtime.errors.invoke import InvokeError
from pydantic import BaseModel, Field
from controllers.console import console_ns
@@ -19,7 +20,6 @@ from core.helper.code_executor.python3.python3_code_provider import Python3CodeP
from core.llm_generator.entities import RuleCodeGeneratePayload, RuleGeneratePayload, RuleStructuredOutputPayload
from core.llm_generator.llm_generator import LLMGenerator
from extensions.ext_database import db
-from graphon.model_runtime.errors.invoke import InvokeError
from libs.login import current_account_with_tenant, login_required
from models import App
from services.workflow_service import WorkflowService
diff --git a/api/controllers/console/app/message.py b/api/controllers/console/app/message.py
index dc752939ae..2afe276742 100644
--- a/api/controllers/console/app/message.py
+++ b/api/controllers/console/app/message.py
@@ -3,6 +3,7 @@ from typing import Literal
from flask import request
from flask_restx import Resource, fields, marshal_with
+from graphon.model_runtime.errors.invoke import InvokeError
from pydantic import BaseModel, Field, field_validator
from sqlalchemy import exists, func, select
from werkzeug.exceptions import InternalServerError, NotFound
@@ -26,7 +27,6 @@ from core.app.entities.app_invoke_entities import InvokeFrom
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from extensions.ext_database import db
from fields.raws import FilesContainedField
-from graphon.model_runtime.errors.invoke import InvokeError
from libs.helper import TimestampField, uuid_value
from libs.infinite_scroll_pagination import InfiniteScrollPagination
from libs.login import current_account_with_tenant, login_required
diff --git a/api/controllers/console/app/workflow.py b/api/controllers/console/app/workflow.py
index 2737dd1dfd..1f5a84c0b2 100644
--- a/api/controllers/console/app/workflow.py
+++ b/api/controllers/console/app/workflow.py
@@ -5,6 +5,10 @@ from typing import Any
from flask import abort, request
from flask_restx import Resource, fields, marshal_with
+from graphon.enums import NodeType
+from graphon.file import File
+from graphon.graph_engine.manager import GraphEngineManager
+from graphon.model_runtime.utils.encoders import jsonable_encoder
from pydantic import BaseModel, Field, field_validator
from sqlalchemy.orm import Session
from werkzeug.exceptions import BadRequest, Forbidden, InternalServerError, NotFound
@@ -35,10 +39,6 @@ from extensions.ext_redis import redis_client
from factories import file_factory, variable_factory
from fields.member_fields import simple_account_fields
from fields.workflow_fields import workflow_fields, workflow_pagination_fields
-from graphon.enums import NodeType
-from graphon.file.models import File
-from graphon.graph_engine.manager import GraphEngineManager
-from graphon.model_runtime.utils.encoders import jsonable_encoder
from libs import helper
from libs.datetime_utils import naive_utc_now
from libs.helper import TimestampField, uuid_value
diff --git a/api/controllers/console/app/workflow_app_log.py b/api/controllers/console/app/workflow_app_log.py
index 8cf0004b09..f0e26c86a5 100644
--- a/api/controllers/console/app/workflow_app_log.py
+++ b/api/controllers/console/app/workflow_app_log.py
@@ -3,6 +3,7 @@ from datetime import datetime
from dateutil.parser import isoparse
from flask import request
from flask_restx import Resource, marshal_with
+from graphon.enums import WorkflowExecutionStatus
from pydantic import BaseModel, Field, field_validator
from sqlalchemy.orm import Session
@@ -14,7 +15,6 @@ from fields.workflow_app_log_fields import (
build_workflow_app_log_pagination_model,
build_workflow_archived_log_pagination_model,
)
-from graphon.enums import WorkflowExecutionStatus
from libs.login import login_required
from models import App
from models.model import AppMode
diff --git a/api/controllers/console/app/workflow_draft_variable.py b/api/controllers/console/app/workflow_draft_variable.py
index 657b072490..4052897e9a 100644
--- a/api/controllers/console/app/workflow_draft_variable.py
+++ b/api/controllers/console/app/workflow_draft_variable.py
@@ -5,6 +5,10 @@ from typing import Any, NoReturn, ParamSpec, TypeVar
from flask import Response, request
from flask_restx import Resource, fields, marshal, marshal_with
+from graphon.file import helpers as file_helpers
+from graphon.variables.segment_group import SegmentGroup
+from graphon.variables.segments import ArrayFileSegment, FileSegment, Segment
+from graphon.variables.types import SegmentType
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
@@ -20,10 +24,6 @@ from core.workflow.variable_prefixes import CONVERSATION_VARIABLE_NODE_ID, SYSTE
from extensions.ext_database import db
from factories.file_factory import build_from_mapping, build_from_mappings
from factories.variable_factory import build_segment_with_type
-from graphon.file import helpers as file_helpers
-from graphon.variables.segment_group import SegmentGroup
-from graphon.variables.segments import ArrayFileSegment, FileSegment, Segment
-from graphon.variables.types import SegmentType
from libs.login import current_user, login_required
from models import App, AppMode
from models.workflow import WorkflowDraftVariable
diff --git a/api/controllers/console/app/workflow_run.py b/api/controllers/console/app/workflow_run.py
index 29fa96c4e6..83e8bedc11 100644
--- a/api/controllers/console/app/workflow_run.py
+++ b/api/controllers/console/app/workflow_run.py
@@ -1,8 +1,10 @@
from datetime import UTC, datetime, timedelta
-from typing import Literal, cast
+from typing import Literal, TypedDict, cast
from flask import request
from flask_restx import Resource, fields, marshal_with
+from graphon.entities.pause_reason import HumanInputRequired
+from graphon.enums import WorkflowExecutionStatus
from pydantic import BaseModel, Field, field_validator
from sqlalchemy import select
from sqlalchemy.orm import sessionmaker
@@ -26,8 +28,6 @@ from fields.workflow_run_fields import (
workflow_run_node_execution_list_fields,
workflow_run_pagination_fields,
)
-from graphon.entities.pause_reason import HumanInputRequired
-from graphon.enums import WorkflowExecutionStatus
from libs.archive_storage import ArchiveStorageNotConfiguredError, get_archive_storage
from libs.custom_inputs import time_duration
from libs.helper import uuid_value
@@ -173,6 +173,23 @@ console_ns.schema_model(
)
+class HumanInputPauseTypeResponse(TypedDict):
+ type: Literal["human_input"]
+ form_id: str
+ backstage_input_url: str | None
+
+
+class PausedNodeResponse(TypedDict):
+ node_id: str
+ node_title: str
+ pause_type: HumanInputPauseTypeResponse
+
+
+class WorkflowPauseDetailsResponse(TypedDict):
+ paused_at: str | None
+ paused_nodes: list[PausedNodeResponse]
+
+
@console_ns.route("/apps/") for cell in item.rows[0].cells] - markdown_table = f"| {' | '.join(cell_texts)} |\n" - markdown_table += f"| {' | '.join(['---'] * len(item.rows[0].cells))} |\n" - - for row in item.rows[1:]: - # Replace newlines with
in each cell - row_cells = [cell.text.replace("\n", "
") for cell in row.cells] - markdown_table += "| " + " | ".join(row_cells) + " |\n" - - text.append(markdown_table) - except Exception as e: - logger.warning("Failed to extract table from DOC: %s", e) - continue - - return "\n".join(text) - - except Exception as e: - raise TextExtractionError(f"Failed to extract text from DOCX: {str(e)}") from e - - -def _download_file_content(http_client: HttpClientProtocol, file: File) -> bytes: - """Download the content of a file based on its transfer method.""" - try: - if file.transfer_method == FileTransferMethod.REMOTE_URL: - if file.remote_url is None: - raise FileDownloadError("Missing URL for remote file") - response = http_client.get(file.remote_url) - response.raise_for_status() - return response.content - else: - return file_manager.download(file) - except Exception as e: - raise FileDownloadError(f"Error downloading file: {str(e)}") from e - - -def _extract_text_from_file( - http_client: HttpClientProtocol, file: File, *, unstructured_api_config: UnstructuredApiConfig -) -> str: - file_content = _download_file_content(http_client, file) - if file.extension: - extracted_text = _extract_text_by_file_extension( - file_content=file_content, - file_extension=file.extension, - unstructured_api_config=unstructured_api_config, - ) - elif file.mime_type: - extracted_text = _extract_text_by_mime_type( - file_content=file_content, - mime_type=file.mime_type, - unstructured_api_config=unstructured_api_config, - ) - else: - raise UnsupportedFileTypeError("Unable to determine file type: MIME type or file extension is missing") - return extracted_text - - -def _extract_text_from_csv(file_content: bytes) -> str: - try: - # Detect encoding using charset_normalizer - result = charset_normalizer.from_bytes(file_content).best() - if result: - encoding = result.encoding - else: - encoding = "utf-8" - - # Fallback to utf-8 if detection fails - if not encoding: - encoding = "utf-8" - - try: - csv_file = io.StringIO(file_content.decode(encoding, errors="ignore")) - except (UnicodeDecodeError, LookupError): - # If decoding fails, try with utf-8 as last resort - csv_file = io.StringIO(file_content.decode("utf-8", errors="ignore")) - - csv_reader = csv.reader(csv_file) - rows = list(csv_reader) - - if not rows: - return "" - - # Combine multi-line text in the header row - header_row = [cell.replace("\n", " ").replace("\r", "") for cell in rows[0]] - - # Create Markdown table - markdown_table = "| " + " | ".join(header_row) + " |\n" - markdown_table += "| " + " | ".join(["-" * len(col) for col in rows[0]]) + " |\n" - - # Process each data row and combine multi-line text in each cell - for row in rows[1:]: - processed_row = [cell.replace("\n", " ").replace("\r", "") for cell in row] - markdown_table += "| " + " | ".join(processed_row) + " |\n" - - return markdown_table - except Exception as e: - raise TextExtractionError(f"Failed to extract text from CSV: {str(e)}") from e - - -def _extract_text_from_excel(file_content: bytes) -> str: - """Extract text from an Excel file using pandas.""" - - def _construct_markdown_table(df: pd.DataFrame) -> str: - """Manually construct a Markdown table from a DataFrame.""" - # Construct the header row - header_row = "| " + " | ".join(df.columns) + " |" - - # Construct the separator row - separator_row = "| " + " | ".join(["-" * len(col) for col in df.columns]) + " |" - - # Construct the data rows - data_rows = [] - for _, row in df.iterrows(): - data_row = "| " + " | ".join(map(str, row)) + " |" - data_rows.append(data_row) - - # Combine all rows into a single string - markdown_table = "\n".join([header_row, separator_row] + data_rows) - return markdown_table - - try: - excel_file = pd.ExcelFile(io.BytesIO(file_content)) - markdown_table = "" - for sheet_name in excel_file.sheet_names: - try: - df = excel_file.parse(sheet_name=sheet_name) - df.dropna(how="all", inplace=True) - - # Combine multi-line text in each cell into a single line - df = df.map(lambda x: " ".join(str(x).splitlines()) if isinstance(x, str) else x) - - # Combine multi-line text in column names into a single line - df.columns = pd.Index([" ".join(str(col).splitlines()) for col in df.columns]) - - # Manually construct the Markdown table - markdown_table += _construct_markdown_table(df) + "\n\n" - except Exception: - continue - return markdown_table - except Exception as e: - raise TextExtractionError(f"Failed to extract text from Excel file: {str(e)}") from e - - -def _extract_text_from_ppt(file_content: bytes, *, unstructured_api_config: UnstructuredApiConfig) -> str: - from unstructured.partition.api import partition_via_api - from unstructured.partition.ppt import partition_ppt - - api_key = unstructured_api_config.api_key or "" - - try: - if unstructured_api_config.api_url: - with tempfile.NamedTemporaryFile(suffix=".ppt", delete=False) as temp_file: - temp_file.write(file_content) - temp_file.flush() - with open(temp_file.name, "rb") as file: - elements = partition_via_api( - file=file, - metadata_filename=temp_file.name, - api_url=unstructured_api_config.api_url, - api_key=api_key, - ) - os.unlink(temp_file.name) - else: - with io.BytesIO(file_content) as file: - elements = partition_ppt(file=file) - return "\n".join([getattr(element, "text", "") for element in elements]) - - except Exception as e: - raise TextExtractionError(f"Failed to extract text from PPTX: {str(e)}") from e - - -def _extract_text_from_pptx(file_content: bytes, *, unstructured_api_config: UnstructuredApiConfig) -> str: - from unstructured.partition.api import partition_via_api - from unstructured.partition.pptx import partition_pptx - - api_key = unstructured_api_config.api_key or "" - - try: - if unstructured_api_config.api_url: - with tempfile.NamedTemporaryFile(suffix=".pptx", delete=False) as temp_file: - temp_file.write(file_content) - temp_file.flush() - with open(temp_file.name, "rb") as file: - elements = partition_via_api( - file=file, - metadata_filename=temp_file.name, - api_url=unstructured_api_config.api_url, - api_key=api_key, - ) - os.unlink(temp_file.name) - else: - with io.BytesIO(file_content) as file: - elements = partition_pptx(file=file) - return "\n".join([getattr(element, "text", "") for element in elements]) - except Exception as e: - raise TextExtractionError(f"Failed to extract text from PPTX: {str(e)}") from e - - -def _extract_text_from_epub(file_content: bytes, *, unstructured_api_config: UnstructuredApiConfig) -> str: - from unstructured.partition.api import partition_via_api - from unstructured.partition.epub import partition_epub - - api_key = unstructured_api_config.api_key or "" - - try: - if unstructured_api_config.api_url: - with tempfile.NamedTemporaryFile(suffix=".epub", delete=False) as temp_file: - temp_file.write(file_content) - temp_file.flush() - with open(temp_file.name, "rb") as file: - elements = partition_via_api( - file=file, - metadata_filename=temp_file.name, - api_url=unstructured_api_config.api_url, - api_key=api_key, - ) - os.unlink(temp_file.name) - else: - pypandoc.download_pandoc() - with io.BytesIO(file_content) as file: - elements = partition_epub(file=file) - return "\n".join([str(element) for element in elements]) - except Exception as e: - raise TextExtractionError(f"Failed to extract text from EPUB: {str(e)}") from e - - -def _extract_text_from_eml(file_content: bytes) -> str: - from unstructured.partition.email import partition_email - - try: - with io.BytesIO(file_content) as file: - elements = partition_email(file=file) - return "\n".join([str(element) for element in elements]) - except Exception as e: - raise TextExtractionError(f"Failed to extract text from EML: {str(e)}") from e - - -def _extract_text_from_msg(file_content: bytes) -> str: - from unstructured.partition.msg import partition_msg - - try: - with io.BytesIO(file_content) as file: - elements = partition_msg(file=file) - return "\n".join([str(element) for element in elements]) - except Exception as e: - raise TextExtractionError(f"Failed to extract text from MSG: {str(e)}") from e - - -def _extract_text_from_vtt(vtt_bytes: bytes) -> str: - text = _extract_text_from_plain_text(vtt_bytes) - - # remove bom - text = text.lstrip("\ufeff") - - raw_results = [] - for caption in webvtt.from_string(text): - raw_results.append((caption.voice, caption.text)) - - # Merge consecutive utterances by the same speaker - merged_results = [] - if raw_results: - current_speaker, current_text = raw_results[0] - - for i in range(1, len(raw_results)): - spk, txt = raw_results[i] - if spk is None: - merged_results.append((None, current_text)) - continue - - if spk == current_speaker: - # If it is the same speaker, merge the utterances (joined by space) - current_text += " " + txt - else: - # If the speaker changes, register the utterance so far and move on - merged_results.append((current_speaker, current_text)) - current_speaker, current_text = spk, txt - - # Add the last element - merged_results.append((current_speaker, current_text)) - else: - merged_results = raw_results - - # Return the result in the specified format: Speaker "text" style - formatted = [f'{spk or ""} "{txt}"' for spk, txt in merged_results] - return "\n".join(formatted) - - -def _extract_text_from_properties(file_content: bytes) -> str: - try: - text = _extract_text_from_plain_text(file_content) - lines = text.splitlines() - result = [] - for line in lines: - line = line.strip() - # Preserve comments and empty lines - if not line or line.startswith("#") or line.startswith("!"): - result.append(line) - continue - - if "=" in line: - key, value = line.split("=", 1) - elif ":" in line: - key, value = line.split(":", 1) - else: - key, value = line, "" - - result.append(f"{key.strip()}: {value.strip()}") - - return "\n".join(result) - except Exception as e: - raise TextExtractionError(f"Failed to extract text from properties file: {str(e)}") from e diff --git a/api/graphon/nodes/end/__init__.py b/api/graphon/nodes/end/__init__.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/api/graphon/nodes/end/end_node.py b/api/graphon/nodes/end/end_node.py deleted file mode 100644 index 11b9e58644..0000000000 --- a/api/graphon/nodes/end/end_node.py +++ /dev/null @@ -1,47 +0,0 @@ -from graphon.enums import BuiltinNodeTypes, NodeExecutionType, WorkflowNodeExecutionStatus -from graphon.node_events import NodeRunResult -from graphon.nodes.base.node import Node -from graphon.nodes.base.template import Template -from graphon.nodes.end.entities import EndNodeData - - -class EndNode(Node[EndNodeData]): - node_type = BuiltinNodeTypes.END - execution_type = NodeExecutionType.RESPONSE - - @classmethod - def version(cls) -> str: - return "1" - - def _run(self) -> NodeRunResult: - """ - Run node - collect all outputs at once. - - This method runs after streaming is complete (if streaming was enabled). - It collects all output variables and returns them. - """ - output_variables = self.node_data.outputs - - outputs = {} - for variable_selector in output_variables: - variable = self.graph_runtime_state.variable_pool.get(variable_selector.value_selector) - value = variable.to_object() if variable is not None else None - outputs[variable_selector.variable] = value - - return NodeRunResult( - status=WorkflowNodeExecutionStatus.SUCCEEDED, - inputs=outputs, - outputs=outputs, - ) - - def get_streaming_template(self) -> Template: - """ - Get the template for streaming. - - Returns: - Template instance for this End node - """ - outputs_config = [ - {"variable": output.variable, "value_selector": output.value_selector} for output in self.node_data.outputs - ] - return Template.from_end_outputs(outputs_config) diff --git a/api/graphon/nodes/end/entities.py b/api/graphon/nodes/end/entities.py deleted file mode 100644 index 839aed7e4b..0000000000 --- a/api/graphon/nodes/end/entities.py +++ /dev/null @@ -1,27 +0,0 @@ -from pydantic import BaseModel, Field - -from graphon.entities.base_node_data import BaseNodeData -from graphon.enums import BuiltinNodeTypes, NodeType -from graphon.nodes.base.entities import OutputVariableEntity - - -class EndNodeData(BaseNodeData): - """ - END Node Data. - """ - - type: NodeType = BuiltinNodeTypes.END - outputs: list[OutputVariableEntity] - - -class EndStreamParam(BaseModel): - """ - EndStreamParam entity - """ - - end_dependencies: dict[str, list[str]] = Field( - ..., description="end dependencies (end node id -> dependent node ids)" - ) - end_stream_variable_selector_mapping: dict[str, list[list[str]]] = Field( - ..., description="end stream variable selector mapping (end node id -> stream variable selectors)" - ) diff --git a/api/graphon/nodes/http_request/__init__.py b/api/graphon/nodes/http_request/__init__.py deleted file mode 100644 index b29099db23..0000000000 --- a/api/graphon/nodes/http_request/__init__.py +++ /dev/null @@ -1,22 +0,0 @@ -from .config import build_http_request_config, resolve_http_request_config -from .entities import ( - HTTP_REQUEST_CONFIG_FILTER_KEY, - BodyData, - HttpRequestNodeAuthorization, - HttpRequestNodeBody, - HttpRequestNodeConfig, - HttpRequestNodeData, -) -from .node import HttpRequestNode - -__all__ = [ - "HTTP_REQUEST_CONFIG_FILTER_KEY", - "BodyData", - "HttpRequestNode", - "HttpRequestNodeAuthorization", - "HttpRequestNodeBody", - "HttpRequestNodeConfig", - "HttpRequestNodeData", - "build_http_request_config", - "resolve_http_request_config", -] diff --git a/api/graphon/nodes/http_request/config.py b/api/graphon/nodes/http_request/config.py deleted file mode 100644 index 53bf6c7ae4..0000000000 --- a/api/graphon/nodes/http_request/config.py +++ /dev/null @@ -1,33 +0,0 @@ -from collections.abc import Mapping - -from .entities import HTTP_REQUEST_CONFIG_FILTER_KEY, HttpRequestNodeConfig - - -def build_http_request_config( - *, - max_connect_timeout: int = 10, - max_read_timeout: int = 600, - max_write_timeout: int = 600, - max_binary_size: int = 10 * 1024 * 1024, - max_text_size: int = 1 * 1024 * 1024, - ssl_verify: bool = True, - ssrf_default_max_retries: int = 3, -) -> HttpRequestNodeConfig: - return HttpRequestNodeConfig( - max_connect_timeout=max_connect_timeout, - max_read_timeout=max_read_timeout, - max_write_timeout=max_write_timeout, - max_binary_size=max_binary_size, - max_text_size=max_text_size, - ssl_verify=ssl_verify, - ssrf_default_max_retries=ssrf_default_max_retries, - ) - - -def resolve_http_request_config(filters: Mapping[str, object] | None) -> HttpRequestNodeConfig: - if not filters: - raise ValueError("http_request_config is required to build HTTP request default config") - config = filters.get(HTTP_REQUEST_CONFIG_FILTER_KEY) - if not isinstance(config, HttpRequestNodeConfig): - raise ValueError("http_request_config must be an HttpRequestNodeConfig instance") - return config diff --git a/api/graphon/nodes/http_request/entities.py b/api/graphon/nodes/http_request/entities.py deleted file mode 100644 index 6fa067bdd1..0000000000 --- a/api/graphon/nodes/http_request/entities.py +++ /dev/null @@ -1,241 +0,0 @@ -import mimetypes -from collections.abc import Sequence -from dataclasses import dataclass -from email.message import Message -from typing import Any, Literal - -import charset_normalizer -import httpx -from pydantic import BaseModel, Field, ValidationInfo, field_validator - -from graphon.entities.base_node_data import BaseNodeData -from graphon.enums import BuiltinNodeTypes, NodeType - -HTTP_REQUEST_CONFIG_FILTER_KEY = "http_request_config" - - -class HttpRequestNodeAuthorizationConfig(BaseModel): - type: Literal["basic", "bearer", "custom"] - api_key: str - header: str = "" - - -class HttpRequestNodeAuthorization(BaseModel): - type: Literal["no-auth", "api-key"] - config: HttpRequestNodeAuthorizationConfig | None = None - - @field_validator("config", mode="before") - @classmethod - def check_config(cls, v: HttpRequestNodeAuthorizationConfig, values: ValidationInfo): - """ - Check config, if type is no-auth, config should be None, otherwise it should be a dict. - """ - if values.data["type"] == "no-auth": - return None - else: - if not v or not isinstance(v, dict): - raise ValueError("config should be a dict") - - return v - - -class BodyData(BaseModel): - key: str = "" - type: Literal["file", "text"] - value: str = "" - file: Sequence[str] = Field(default_factory=list) - - -class HttpRequestNodeBody(BaseModel): - type: Literal["none", "form-data", "x-www-form-urlencoded", "raw-text", "json", "binary"] - data: Sequence[BodyData] = Field(default_factory=list) - - @field_validator("data", mode="before") - @classmethod - def check_data(cls, v: Any): - """For compatibility, if body is not set, return empty list.""" - if not v: - return [] - if isinstance(v, str): - return [BodyData(key="", type="text", value=v)] - return v - - -class HttpRequestNodeTimeout(BaseModel): - connect: int | None = None - read: int | None = None - write: int | None = None - - -@dataclass(frozen=True, slots=True) -class HttpRequestNodeConfig: - max_connect_timeout: int - max_read_timeout: int - max_write_timeout: int - max_binary_size: int - max_text_size: int - ssl_verify: bool - ssrf_default_max_retries: int - - def default_timeout(self) -> "HttpRequestNodeTimeout": - return HttpRequestNodeTimeout( - connect=self.max_connect_timeout, - read=self.max_read_timeout, - write=self.max_write_timeout, - ) - - -class HttpRequestNodeData(BaseNodeData): - """ - Code Node Data. - """ - - type: NodeType = BuiltinNodeTypes.HTTP_REQUEST - method: Literal[ - "get", - "post", - "put", - "patch", - "delete", - "head", - "options", - "GET", - "POST", - "PUT", - "PATCH", - "DELETE", - "HEAD", - "OPTIONS", - ] - url: str - authorization: HttpRequestNodeAuthorization - headers: str - params: str - body: HttpRequestNodeBody | None = None - timeout: HttpRequestNodeTimeout | None = None - ssl_verify: bool | None = None - - -class Response: - headers: dict[str, str] - response: httpx.Response - _cached_text: str | None - - def __init__(self, response: httpx.Response): - self.response = response - self.headers = dict(response.headers) - self._cached_text = None - - @property - def is_file(self): - """ - Determine if the response contains a file by checking: - 1. Content-Disposition header (RFC 6266) - 2. Content characteristics - 3. MIME type analysis - """ - content_type = self.content_type.split(";")[0].strip().lower() - parsed_content_disposition = self.parsed_content_disposition - - # Check if it's explicitly marked as an attachment - if parsed_content_disposition: - disp_type = parsed_content_disposition.get_content_disposition() # Returns 'attachment', 'inline', or None - filename = parsed_content_disposition.get_filename() # Returns filename if present, None otherwise - if disp_type == "attachment" or filename is not None: - return True - - # For 'text/' types, only 'csv' should be downloaded as file - if content_type.startswith("text/") and "csv" not in content_type: - return False - - # For application types, try to detect if it's a text-based format - if content_type.startswith("application/"): - # Common text-based application types - if any( - text_type in content_type - for text_type in ("json", "xml", "javascript", "x-www-form-urlencoded", "yaml", "graphql") - ): - return False - - # Try to detect if content is text-based by sampling first few bytes - try: - # Sample first 1024 bytes for text detection - content_sample = self.response.content[:1024] - content_sample.decode("utf-8") - # If we can decode as UTF-8 and find common text patterns, likely not a file - text_markers = (b"{", b"[", b"<", b"function", b"var ", b"const ", b"let ") - if any(marker in content_sample for marker in text_markers): - return False - except UnicodeDecodeError: - # If we can't decode as UTF-8, likely a binary file - return True - - # For other types, use MIME type analysis - main_type, _ = mimetypes.guess_type("dummy" + (mimetypes.guess_extension(content_type) or "")) - if main_type: - return main_type.split("/")[0] in ("application", "image", "audio", "video") - - # For unknown types, check if it's a media type - return any(media_type in content_type for media_type in ("image/", "audio/", "video/")) - - @property - def content_type(self) -> str: - return self.headers.get("content-type", "") - - @property - def text(self) -> str: - """ - Get response text with robust encoding detection. - - Uses charset_normalizer for better encoding detection than httpx's default, - which helps handle Chinese and other non-ASCII characters properly. - """ - # Check cache first - if hasattr(self, "_cached_text") and self._cached_text is not None: - return self._cached_text - - # Try charset_normalizer for robust encoding detection first - detected_encoding = charset_normalizer.from_bytes(self.response.content).best() - if detected_encoding and detected_encoding.encoding: - try: - text = self.response.content.decode(detected_encoding.encoding) - self._cached_text = text - return text - except (UnicodeDecodeError, TypeError, LookupError): - # Fallback to httpx's encoding detection if charset_normalizer fails - pass - - # Fallback to httpx's built-in encoding detection - text = self.response.text - self._cached_text = text - return text - - @property - def content(self) -> bytes: - return self.response.content - - @property - def status_code(self) -> int: - return self.response.status_code - - @property - def size(self) -> int: - return len(self.content) - - @property - def readable_size(self) -> str: - if self.size < 1024: - return f"{self.size} bytes" - elif self.size < 1024 * 1024: - return f"{(self.size / 1024):.2f} KB" - else: - return f"{(self.size / 1024 / 1024):.2f} MB" - - @property - def parsed_content_disposition(self) -> Message | None: - content_disposition = self.headers.get("content-disposition", "") - if content_disposition: - msg = Message() - msg["content-disposition"] = content_disposition - return msg - return None diff --git a/api/graphon/nodes/http_request/exc.py b/api/graphon/nodes/http_request/exc.py deleted file mode 100644 index 46613c9e86..0000000000 --- a/api/graphon/nodes/http_request/exc.py +++ /dev/null @@ -1,26 +0,0 @@ -class HttpRequestNodeError(ValueError): - """Custom error for HTTP request node.""" - - -class AuthorizationConfigError(HttpRequestNodeError): - """Raised when authorization config is missing or invalid.""" - - -class FileFetchError(HttpRequestNodeError): - """Raised when a file cannot be fetched.""" - - -class InvalidHttpMethodError(HttpRequestNodeError): - """Raised when an invalid HTTP method is used.""" - - -class ResponseSizeError(HttpRequestNodeError): - """Raised when the response size exceeds the allowed threshold.""" - - -class RequestBodyError(HttpRequestNodeError): - """Raised when the request body is invalid.""" - - -class InvalidURLError(HttpRequestNodeError): - """Raised when the URL is invalid.""" diff --git a/api/graphon/nodes/http_request/executor.py b/api/graphon/nodes/http_request/executor.py deleted file mode 100644 index 0c6f4ecd3a..0000000000 --- a/api/graphon/nodes/http_request/executor.py +++ /dev/null @@ -1,488 +0,0 @@ -import base64 -import json -import secrets -import string -from collections.abc import Callable, Mapping -from copy import deepcopy -from typing import Any, Literal -from urllib.parse import urlencode, urlparse - -import httpx -from json_repair import repair_json - -from graphon.file.enums import FileTransferMethod -from graphon.runtime import VariablePool -from graphon.variables.segments import ArrayFileSegment, FileSegment - -from ..protocols import FileManagerProtocol, HttpClientProtocol -from .entities import ( - HttpRequestNodeAuthorization, - HttpRequestNodeConfig, - HttpRequestNodeData, - HttpRequestNodeTimeout, - Response, -) -from .exc import ( - AuthorizationConfigError, - FileFetchError, - HttpRequestNodeError, - InvalidHttpMethodError, - InvalidURLError, - RequestBodyError, - ResponseSizeError, -) - -BODY_TYPE_TO_CONTENT_TYPE = { - "json": "application/json", - "x-www-form-urlencoded": "application/x-www-form-urlencoded", - "form-data": "multipart/form-data", - "raw-text": "text/plain", -} - - -class Executor: - method: Literal[ - "get", - "head", - "post", - "put", - "delete", - "patch", - "options", - "GET", - "POST", - "PUT", - "PATCH", - "DELETE", - "HEAD", - "OPTIONS", - ] - url: str - params: list[tuple[str, str]] | None - content: str | bytes | None - data: Mapping[str, Any] | None - files: list[tuple[str, tuple[str | None, bytes, str]]] | None - json: Any - headers: dict[str, str] - auth: HttpRequestNodeAuthorization - timeout: HttpRequestNodeTimeout - max_retries: int - - boundary: str - - def __init__( - self, - *, - node_data: HttpRequestNodeData, - timeout: HttpRequestNodeTimeout, - variable_pool: VariablePool, - http_request_config: HttpRequestNodeConfig, - max_retries: int | None = None, - ssl_verify: bool | None = None, - http_client: HttpClientProtocol, - file_manager: FileManagerProtocol, - ): - self._http_request_config = http_request_config - # If authorization API key is present, convert the API key using the variable pool - if node_data.authorization.type == "api-key": - if node_data.authorization.config is None: - raise AuthorizationConfigError("authorization config is required") - node_data.authorization.config.api_key = variable_pool.convert_template( - node_data.authorization.config.api_key - ).text - # Validate that API key is not empty after template conversion - if not node_data.authorization.config.api_key or not node_data.authorization.config.api_key.strip(): - raise AuthorizationConfigError( - "API key is required for authorization but was empty. Please provide a valid API key." - ) - - self.url = node_data.url - self.method = node_data.method - self.auth = node_data.authorization - self.timeout = timeout - self.ssl_verify = ssl_verify if ssl_verify is not None else node_data.ssl_verify - if self.ssl_verify is None: - self.ssl_verify = self._http_request_config.ssl_verify - if not isinstance(self.ssl_verify, bool): - raise ValueError("ssl_verify must be a boolean") - self.params = None - self.headers = {} - self.content = None - self.files = None - self.data = None - self.json = None - self.max_retries = ( - max_retries if max_retries is not None else self._http_request_config.ssrf_default_max_retries - ) - self._http_client = http_client - self._file_manager = file_manager - - # init template - self.variable_pool = variable_pool - self.node_data = node_data - self._initialize() - - def _initialize(self): - self._init_url() - self._init_params() - self._init_headers() - self._init_body() - - def _init_url(self): - self.url = self.variable_pool.convert_template(self.node_data.url).text - - # check if url is a valid URL - if not self.url: - raise InvalidURLError("url is required") - if not self.url.startswith(("http://", "https://")): - raise InvalidURLError("url should start with http:// or https://") - - def _init_params(self): - """ - Almost same as _init_headers(), difference: - 1. response a list tuple to support same key, like 'aa=1&aa=2' - 2. param value may have '\n', we need to splitlines then extract the variable value. - """ - result = [] - for line in self.node_data.params.splitlines(): - if not (line := line.strip()): - continue - - key, *value = line.split(":", 1) - if not (key := key.strip()): - continue - - value_str = value[0].strip() if value else "" - result.append( - (self.variable_pool.convert_template(key).text, self.variable_pool.convert_template(value_str).text) - ) - - if result: - self.params = result - - def _init_headers(self): - """ - Convert the header string of frontend to a dictionary. - - Each line in the header string represents a key-value pair. - Keys and values are separated by ':'. - Empty values are allowed. - - Examples: - 'aa:bb\n cc:dd' -> {'aa': 'bb', 'cc': 'dd'} - 'aa:\n cc:dd\n' -> {'aa': '', 'cc': 'dd'} - 'aa\n cc : dd' -> {'aa': '', 'cc': 'dd'} - - """ - headers = self.variable_pool.convert_template(self.node_data.headers).text - self.headers = { - key.strip(): (value[0].strip() if value else "") - for line in headers.splitlines() - if line.strip() - for key, *value in [line.split(":", 1)] - } - - def _init_body(self): - body = self.node_data.body - if body is not None: - data = body.data - match body.type: - case "none": - self.content = "" - case "raw-text": - if len(data) != 1: - raise RequestBodyError("raw-text body type should have exactly one item") - self.content = self.variable_pool.convert_template(data[0].value).text - case "json": - if len(data) != 1: - raise RequestBodyError("json body type should have exactly one item") - json_string = self.variable_pool.convert_template(data[0].value).text - try: - repaired = repair_json(json_string) - json_object = json.loads(repaired, strict=False) - except json.JSONDecodeError as e: - raise RequestBodyError(f"Failed to parse JSON: {json_string}") from e - self.json = json_object - # self.json = self._parse_object_contains_variables(json_object) - case "binary": - if len(data) != 1: - raise RequestBodyError("binary body type should have exactly one item") - file_selector = data[0].file - file_variable = self.variable_pool.get_file(file_selector) - if file_variable is None: - raise FileFetchError(f"cannot fetch file with selector {file_selector}") - file = file_variable.value - self.content = self._file_manager.download(file) - case "x-www-form-urlencoded": - form_data = { - self.variable_pool.convert_template(item.key).text: self.variable_pool.convert_template( - item.value - ).text - for item in data - } - self.data = form_data - case "form-data": - form_data = { - self.variable_pool.convert_template(item.key).text: self.variable_pool.convert_template( - item.value - ).text - for item in filter(lambda item: item.type == "text", data) - } - file_selectors = { - self.variable_pool.convert_template(item.key).text: item.file - for item in filter(lambda item: item.type == "file", data) - } - - # get files from file_selectors, add support for array file variables - files_list = [] - for key, selector in file_selectors.items(): - segment = self.variable_pool.get(selector) - if isinstance(segment, FileSegment): - files_list.append((key, [segment.value])) - elif isinstance(segment, ArrayFileSegment): - files_list.append((key, list(segment.value))) - - # get files from file_manager - files: dict[str, list[tuple[str | None, bytes, str]]] = {} - for key, files_in_segment in files_list: - for file in files_in_segment: - if file.reference is not None or ( - file.transfer_method == FileTransferMethod.REMOTE_URL and file.remote_url is not None - ): - file_tuple = ( - file.filename, - self._file_manager.download(file), - file.mime_type or "application/octet-stream", - ) - if key not in files: - files[key] = [] - files[key].append(file_tuple) - - # convert files to list for httpx request - # If there are no actual files, we still need to force httpx to use `multipart/form-data`. - # This is achieved by inserting a harmless placeholder file that will be ignored by the server. - if not files: - self.files = [("__multipart_placeholder__", ("", b"", "application/octet-stream"))] - if files: - self.files = [] - for key, file_tuples in files.items(): - for file_tuple in file_tuples: - self.files.append((key, file_tuple)) - - self.data = form_data - - def _assembling_headers(self) -> dict[str, Any]: - authorization = deepcopy(self.auth) - headers = deepcopy(self.headers) or {} - if self.auth.type == "api-key": - if self.auth.config is None: - raise AuthorizationConfigError("self.authorization config is required") - if authorization.config is None: - raise AuthorizationConfigError("authorization config is required") - - if not authorization.config.header: - authorization.config.header = "Authorization" - - if self.auth.config.type == "bearer" and authorization.config.api_key: - headers[authorization.config.header] = f"Bearer {authorization.config.api_key}" - elif self.auth.config.type == "basic" and authorization.config.api_key: - credentials = authorization.config.api_key - if ":" in credentials: - encoded_credentials = base64.b64encode(credentials.encode("utf-8")).decode("utf-8") - else: - encoded_credentials = credentials - headers[authorization.config.header] = f"Basic {encoded_credentials}" - elif self.auth.config.type == "custom": - if authorization.config.header and authorization.config.api_key: - headers[authorization.config.header] = authorization.config.api_key - - # Handle Content-Type for multipart/form-data requests - # Fix for issue #23829: Missing boundary when using multipart/form-data - body = self.node_data.body - if body and body.type == "form-data": - # For multipart/form-data with files (including placeholder files), - # remove any manually set Content-Type header to let httpx handle - # For multipart/form-data, if any files are present (including placeholder files), - # we must remove any manually set Content-Type header. This is because httpx needs to - # automatically set the Content-Type and boundary for multipart encoding whenever files - # are included, even if they are placeholders, to avoid boundary issues and ensure correct - # file upload behaviour. Manually setting Content-Type can cause httpx to fail to set the - # boundary, resulting in invalid requests. - if self.files: - # Remove Content-Type if it was manually set to avoid boundary issues - headers = {k: v for k, v in headers.items() if k.lower() != "content-type"} - else: - # No files at all, set Content-Type manually - if "content-type" not in (k.lower() for k in headers): - headers["Content-Type"] = "multipart/form-data" - elif body and body.type in BODY_TYPE_TO_CONTENT_TYPE: - # Set Content-Type for other body types - if "content-type" not in (k.lower() for k in headers): - headers["Content-Type"] = BODY_TYPE_TO_CONTENT_TYPE[body.type] - - return headers - - def _validate_and_parse_response(self, response: httpx.Response) -> Response: - executor_response = Response(response) - - threshold_size = ( - self._http_request_config.max_binary_size - if executor_response.is_file - else self._http_request_config.max_text_size - ) - if executor_response.size > threshold_size: - raise ResponseSizeError( - f"{'File' if executor_response.is_file else 'Text'} size is too large," - f" max size is {threshold_size / 1024 / 1024:.2f} MB," - f" but current size is {executor_response.readable_size}." - ) - - return executor_response - - def _do_http_request(self, headers: dict[str, Any]) -> httpx.Response: - """ - do http request depending on api bundle - """ - _METHOD_MAP: dict[str, Callable[..., httpx.Response]] = { - "get": self._http_client.get, - "head": self._http_client.head, - "post": self._http_client.post, - "put": self._http_client.put, - "delete": self._http_client.delete, - "patch": self._http_client.patch, - } - method_lc = self.method.lower() - if method_lc not in _METHOD_MAP: - raise InvalidHttpMethodError(f"Invalid http method {self.method}") - - request_args: dict[str, Any] = { - "data": self.data, - "files": self.files, - "json": self.json, - "content": self.content, - "headers": headers, - "params": self.params, - "timeout": (self.timeout.connect, self.timeout.read, self.timeout.write), - "ssl_verify": self.ssl_verify, - "follow_redirects": True, - } - # request_args = {k: v for k, v in request_args.items() if v is not None} - try: - response = _METHOD_MAP[method_lc]( - url=self.url, - **request_args, - max_retries=self.max_retries, - ) - except self._http_client.max_retries_exceeded_error as e: - raise HttpRequestNodeError(f"Reached maximum retries for URL {self.url}") from e - except self._http_client.request_error as e: - raise HttpRequestNodeError(str(e)) from e - return response - - def invoke(self) -> Response: - # assemble headers - headers = self._assembling_headers() - # do http request - response = self._do_http_request(headers) - # validate response - return self._validate_and_parse_response(response) - - def to_log(self): - url_parts = urlparse(self.url) - path = url_parts.path or "/" - - # Add query parameters - if self.params: - query_string = urlencode(self.params) - path += f"?{query_string}" - elif url_parts.query: - path += f"?{url_parts.query}" - - raw = f"{self.method.upper()} {path} HTTP/1.1\r\n" - raw += f"Host: {url_parts.netloc}\r\n" - - headers = self._assembling_headers() - body = self.node_data.body - boundary = f"----WebKitFormBoundary{_generate_random_string(16)}" - if body: - if "content-type" not in (k.lower() for k in self.headers) and body.type in BODY_TYPE_TO_CONTENT_TYPE: - headers["Content-Type"] = BODY_TYPE_TO_CONTENT_TYPE[body.type] - if body.type == "form-data": - headers["Content-Type"] = f"multipart/form-data; boundary={boundary}" - for k, v in headers.items(): - if self.auth.type == "api-key": - authorization_header = "Authorization" - if self.auth.config and self.auth.config.header: - authorization_header = self.auth.config.header - if k.lower() == authorization_header.lower(): - raw += f"{k}: {'*' * len(v)}\r\n" - continue - raw += f"{k}: {v}\r\n" - - body_string = "" - # Only log actual files if present. - # '__multipart_placeholder__' is inserted to force multipart encoding but is not a real file. - # This prevents logging meaningless placeholder entries. - if self.files and not all(f[0] == "__multipart_placeholder__" for f in self.files): - for file_entry in self.files: - # file_entry should be (key, (filename, content, mime_type)), but handle edge cases - if len(file_entry) != 2 or len(file_entry[1]) < 2: - continue # skip malformed entries - key = file_entry[0] - content = file_entry[1][1] - body_string += f"--{boundary}\r\n" - body_string += f'Content-Disposition: form-data; name="{key}"\r\n\r\n' - # decode content safely - # Do not decode binary content; use a placeholder with file metadata instead. - # Includes filename, size, and MIME type for better logging context. - body_string += ( - f"
hello
", - expiration_time=datetime.utcnow(), + expiration_time=naive_utc_now(), ).model_dump_json() diff --git a/api/tests/unit_tests/core/repositories/test_human_input_repository.py b/api/tests/unit_tests/core/repositories/test_human_input_repository.py index 1297a95df1..8ff0e40587 100644 --- a/api/tests/unit_tests/core/repositories/test_human_input_repository.py +++ b/api/tests/unit_tests/core/repositories/test_human_input_repository.py @@ -9,6 +9,8 @@ from typing import Any from unittest.mock import MagicMock import pytest +from graphon.nodes.human_input.entities import HumanInputNodeData, UserAction +from graphon.nodes.human_input.enums import HumanInputFormKind, HumanInputFormStatus from core.repositories.human_input_repository import ( FormCreateParams, @@ -29,8 +31,6 @@ from core.workflow.human_input_compat import ( MemberRecipient, WebAppDeliveryMethod, ) -from graphon.nodes.human_input.entities import HumanInputNodeData, UserAction -from graphon.nodes.human_input.enums import HumanInputFormKind, HumanInputFormStatus from libs.datetime_utils import naive_utc_now from models.human_input import HumanInputFormRecipient, RecipientType diff --git a/api/tests/unit_tests/core/repositories/test_sqlalchemy_workflow_execution_repository.py b/api/tests/unit_tests/core/repositories/test_sqlalchemy_workflow_execution_repository.py index 6cb3c3c6ac..e5c3e85487 100644 --- a/api/tests/unit_tests/core/repositories/test_sqlalchemy_workflow_execution_repository.py +++ b/api/tests/unit_tests/core/repositories/test_sqlalchemy_workflow_execution_repository.py @@ -3,11 +3,12 @@ from unittest.mock import MagicMock from uuid import uuid4 import pytest +from graphon.entities import WorkflowExecution +from graphon.enums import WorkflowExecutionStatus, WorkflowType from sqlalchemy.engine import Engine from sqlalchemy.orm import sessionmaker from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository -from graphon.entities.workflow_execution import WorkflowExecution, WorkflowExecutionStatus, WorkflowType from models import Account, CreatorUserRole, EndUser, WorkflowRun from models.enums import WorkflowRunTriggeredFrom diff --git a/api/tests/unit_tests/core/repositories/test_sqlalchemy_workflow_node_execution_repository.py b/api/tests/unit_tests/core/repositories/test_sqlalchemy_workflow_node_execution_repository.py index 6af7b02d4c..5b4d26b780 100644 --- a/api/tests/unit_tests/core/repositories/test_sqlalchemy_workflow_node_execution_repository.py +++ b/api/tests/unit_tests/core/repositories/test_sqlalchemy_workflow_node_execution_repository.py @@ -10,6 +10,12 @@ from unittest.mock import MagicMock, Mock import psycopg2.errors import pytest +from graphon.entities import WorkflowNodeExecution +from graphon.enums import ( + BuiltinNodeTypes, + WorkflowNodeExecutionMetadataKey, + WorkflowNodeExecutionStatus, +) from sqlalchemy import Engine, create_engine from sqlalchemy.exc import IntegrityError from sqlalchemy.orm import sessionmaker @@ -23,12 +29,6 @@ from core.repositories.sqlalchemy_workflow_node_execution_repository import ( _find_first, _replace_or_append_offload, ) -from graphon.entities import WorkflowNodeExecution -from graphon.enums import ( - BuiltinNodeTypes, - WorkflowNodeExecutionMetadataKey, - WorkflowNodeExecutionStatus, -) from models import Account, EndUser from models.enums import ExecutionOffLoadType from models.workflow import WorkflowNodeExecutionModel, WorkflowNodeExecutionOffload, WorkflowNodeExecutionTriggeredFrom diff --git a/api/tests/unit_tests/core/repositories/test_workflow_node_execution_conflict_handling.py b/api/tests/unit_tests/core/repositories/test_workflow_node_execution_conflict_handling.py index abdbc72085..84fe522388 100644 --- a/api/tests/unit_tests/core/repositories/test_workflow_node_execution_conflict_handling.py +++ b/api/tests/unit_tests/core/repositories/test_workflow_node_execution_conflict_handling.py @@ -4,17 +4,17 @@ from unittest.mock import MagicMock, Mock import psycopg2.errors import pytest +from graphon.entities.workflow_node_execution import ( + WorkflowNodeExecution, + WorkflowNodeExecutionStatus, +) +from graphon.enums import BuiltinNodeTypes from sqlalchemy.exc import IntegrityError from sqlalchemy.orm import sessionmaker from core.repositories.sqlalchemy_workflow_node_execution_repository import ( SQLAlchemyWorkflowNodeExecutionRepository, ) -from graphon.entities.workflow_node_execution import ( - WorkflowNodeExecution, - WorkflowNodeExecutionStatus, -) -from graphon.enums import BuiltinNodeTypes from libs.datetime_utils import naive_utc_now from models import Account, WorkflowNodeExecutionTriggeredFrom diff --git a/api/tests/unit_tests/core/repositories/test_workflow_node_execution_truncation.py b/api/tests/unit_tests/core/repositories/test_workflow_node_execution_truncation.py index 5af1376a0a..27729e7f06 100644 --- a/api/tests/unit_tests/core/repositories/test_workflow_node_execution_truncation.py +++ b/api/tests/unit_tests/core/repositories/test_workflow_node_execution_truncation.py @@ -11,17 +11,17 @@ from datetime import UTC, datetime from typing import Any from unittest.mock import MagicMock +from graphon.entities.workflow_node_execution import ( + WorkflowNodeExecution, + WorkflowNodeExecutionStatus, +) +from graphon.enums import BuiltinNodeTypes from sqlalchemy import Engine from configs import dify_config from core.repositories.sqlalchemy_workflow_node_execution_repository import ( SQLAlchemyWorkflowNodeExecutionRepository, ) -from graphon.entities.workflow_node_execution import ( - WorkflowNodeExecution, - WorkflowNodeExecutionStatus, -) -from graphon.enums import BuiltinNodeTypes from models import Account, WorkflowNodeExecutionTriggeredFrom from models.enums import ExecutionOffLoadType from models.workflow import WorkflowNodeExecutionModel, WorkflowNodeExecutionOffload diff --git a/api/tests/unit_tests/core/telemetry/test_facade.py b/api/tests/unit_tests/core/telemetry/test_facade.py new file mode 100644 index 0000000000..36e8e1bbb1 --- /dev/null +++ b/api/tests/unit_tests/core/telemetry/test_facade.py @@ -0,0 +1,181 @@ +"""Unit tests for core.telemetry.emit() routing and enterprise-only filtering.""" + +from __future__ import annotations + +import queue +import sys +import types +from unittest.mock import MagicMock, patch + +import pytest + +from core.ops.entities.trace_entity import TraceTaskName +from core.telemetry.events import TelemetryContext, TelemetryEvent + + +@pytest.fixture +def telemetry_test_setup(monkeypatch): + module_name = "core.ops.ops_trace_manager" + ops_stub = types.ModuleType(module_name) + + class StubTraceTask: + def __init__(self, trace_type, **kwargs): + self.trace_type = trace_type + self.app_id = None + self.kwargs = kwargs + + class StubTraceQueueManager: + def __init__(self, app_id=None, user_id=None): + self.app_id = app_id + self.user_id = user_id + self.trace_instance = StubOpsTraceManager.get_ops_trace_instance(app_id) + + def add_trace_task(self, trace_task): + trace_task.app_id = self.app_id + from core.ops.ops_trace_manager import trace_manager_queue + + trace_manager_queue.put(trace_task) + + class StubOpsTraceManager: + @staticmethod + def get_ops_trace_instance(app_id): + return None + + ops_stub.TraceQueueManager = StubTraceQueueManager + ops_stub.TraceTask = StubTraceTask + ops_stub.OpsTraceManager = StubOpsTraceManager + ops_stub.trace_manager_queue = MagicMock(spec=queue.Queue) + monkeypatch.setitem(sys.modules, module_name, ops_stub) + + from core.telemetry import emit + + return emit, ops_stub.trace_manager_queue + + +class TestTelemetryEmit: + @patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=True) + def test_emit_enterprise_trace_creates_trace_task(self, mock_ee, telemetry_test_setup): + emit_fn, mock_queue = telemetry_test_setup + + event = TelemetryEvent( + name=TraceTaskName.DRAFT_NODE_EXECUTION_TRACE, + context=TelemetryContext( + tenant_id="test-tenant", + user_id="test-user", + app_id="test-app", + ), + payload={"key": "value"}, + ) + + emit_fn(event) + + mock_queue.put.assert_called_once() + called_task = mock_queue.put.call_args[0][0] + assert called_task.trace_type == TraceTaskName.DRAFT_NODE_EXECUTION_TRACE + + def test_emit_community_trace_enqueued(self, telemetry_test_setup): + emit_fn, mock_queue = telemetry_test_setup + + event = TelemetryEvent( + name=TraceTaskName.WORKFLOW_TRACE, + context=TelemetryContext( + tenant_id="test-tenant", + user_id="test-user", + app_id="test-app", + ), + payload={}, + ) + + emit_fn(event) + + mock_queue.put.assert_called_once() + + def test_emit_enterprise_only_trace_dropped_when_ee_disabled(self, telemetry_test_setup): + emit_fn, mock_queue = telemetry_test_setup + + event = TelemetryEvent( + name=TraceTaskName.DRAFT_NODE_EXECUTION_TRACE, + context=TelemetryContext( + tenant_id="test-tenant", + user_id="test-user", + app_id="test-app", + ), + payload={}, + ) + + emit_fn(event) + + mock_queue.put.assert_not_called() + + @patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=True) + def test_emit_all_enterprise_only_traces_allowed_when_ee_enabled(self, mock_ee, telemetry_test_setup): + emit_fn, mock_queue = telemetry_test_setup + + enterprise_only_traces = [ + TraceTaskName.DRAFT_NODE_EXECUTION_TRACE, + TraceTaskName.NODE_EXECUTION_TRACE, + TraceTaskName.PROMPT_GENERATION_TRACE, + ] + + for trace_name in enterprise_only_traces: + mock_queue.reset_mock() + + event = TelemetryEvent( + name=trace_name, + context=TelemetryContext( + tenant_id="test-tenant", + user_id="test-user", + app_id="test-app", + ), + payload={}, + ) + + emit_fn(event) + + mock_queue.put.assert_called_once() + called_task = mock_queue.put.call_args[0][0] + assert called_task.trace_type == trace_name + + @patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=True) + def test_emit_passes_name_directly_to_trace_task(self, mock_ee, telemetry_test_setup): + emit_fn, mock_queue = telemetry_test_setup + + event = TelemetryEvent( + name=TraceTaskName.DRAFT_NODE_EXECUTION_TRACE, + context=TelemetryContext( + tenant_id="test-tenant", + user_id="test-user", + app_id="test-app", + ), + payload={"extra": "data"}, + ) + + emit_fn(event) + + mock_queue.put.assert_called_once() + called_task = mock_queue.put.call_args[0][0] + assert called_task.trace_type == TraceTaskName.DRAFT_NODE_EXECUTION_TRACE + assert isinstance(called_task.trace_type, TraceTaskName) + + @patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=True) + def test_emit_with_provided_trace_manager(self, mock_ee, telemetry_test_setup): + emit_fn, mock_queue = telemetry_test_setup + + mock_trace_manager = MagicMock() + mock_trace_manager.add_trace_task = MagicMock() + + event = TelemetryEvent( + name=TraceTaskName.NODE_EXECUTION_TRACE, + context=TelemetryContext( + tenant_id="test-tenant", + user_id="test-user", + app_id="test-app", + ), + payload={}, + ) + + emit_fn(event, trace_manager=mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_called_once() + called_task = mock_trace_manager.add_trace_task.call_args[0][0] + assert called_task.trace_type == TraceTaskName.NODE_EXECUTION_TRACE diff --git a/api/tests/unit_tests/core/telemetry/test_gateway_integration.py b/api/tests/unit_tests/core/telemetry/test_gateway_integration.py new file mode 100644 index 0000000000..a68fce5e7f --- /dev/null +++ b/api/tests/unit_tests/core/telemetry/test_gateway_integration.py @@ -0,0 +1,225 @@ +from __future__ import annotations + +import sys +from unittest.mock import MagicMock, patch + +import pytest + +from core.telemetry.gateway import emit, is_enterprise_telemetry_enabled +from enterprise.telemetry.contracts import TelemetryCase + + +class TestTelemetryCoreExports: + def test_is_enterprise_telemetry_enabled_exported(self) -> None: + from core.telemetry.gateway import is_enterprise_telemetry_enabled as exported_func + + assert callable(exported_func) + + +@pytest.fixture +def mock_ops_trace_manager(): + mock_module = MagicMock() + mock_trace_task_class = MagicMock() + mock_trace_task_class.return_value = MagicMock() + mock_module.TraceTask = mock_trace_task_class + mock_module.TraceQueueManager = MagicMock() + + mock_trace_entity = MagicMock() + mock_trace_task_name = MagicMock() + mock_trace_task_name.return_value = "workflow" + mock_trace_entity.TraceTaskName = mock_trace_task_name + + with ( + patch.dict(sys.modules, {"core.ops.ops_trace_manager": mock_module}), + patch.dict(sys.modules, {"core.ops.entities.trace_entity": mock_trace_entity}), + ): + yield mock_module, mock_trace_entity + + +class TestGatewayIntegrationTraceRouting: + @pytest.fixture + def mock_trace_manager(self) -> MagicMock: + return MagicMock() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + def test_ce_eligible_trace_routed_to_trace_manager( + self, + mock_trace_manager: MagicMock, + ) -> None: + with patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=True): + context = {"app_id": "app-123", "user_id": "user-456", "tenant_id": "tenant-789"} + payload = {"workflow_run_id": "run-abc"} + + emit(TelemetryCase.WORKFLOW_RUN, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_called_once() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + def test_ce_eligible_trace_routed_when_ee_disabled( + self, + mock_trace_manager: MagicMock, + ) -> None: + with patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=False): + context = {"app_id": "app-123", "user_id": "user-456"} + payload = {"workflow_run_id": "run-abc"} + + emit(TelemetryCase.WORKFLOW_RUN, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_called_once() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + def test_enterprise_only_trace_dropped_when_ee_disabled( + self, + mock_trace_manager: MagicMock, + ) -> None: + with patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=False): + context = {"app_id": "app-123", "user_id": "user-456"} + payload = {"node_id": "node-abc"} + + emit(TelemetryCase.NODE_EXECUTION, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_not_called() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + def test_enterprise_only_trace_routed_when_ee_enabled( + self, + mock_trace_manager: MagicMock, + ) -> None: + with patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=True): + context = {"app_id": "app-123", "user_id": "user-456"} + payload = {"node_id": "node-abc"} + + emit(TelemetryCase.NODE_EXECUTION, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_called_once() + + +class TestGatewayIntegrationMetricRouting: + @patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=True) + def test_metric_case_routes_to_celery_task( + self, + mock_ee_enabled: MagicMock, + ) -> None: + from enterprise.telemetry.contracts import TelemetryEnvelope + + with patch("tasks.enterprise_telemetry_task.process_enterprise_telemetry.delay") as mock_delay: + context = {"tenant_id": "tenant-123"} + payload = {"app_id": "app-abc", "name": "My App"} + + emit(TelemetryCase.APP_CREATED, context, payload) + + mock_delay.assert_called_once() + envelope_json = mock_delay.call_args[0][0] + envelope = TelemetryEnvelope.model_validate_json(envelope_json) + assert envelope.case == TelemetryCase.APP_CREATED + assert envelope.tenant_id == "tenant-123" + assert envelope.payload["app_id"] == "app-abc" + + @pytest.mark.usefixtures("mock_ops_trace_manager") + @patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=True) + def test_tool_execution_trace_routed( + self, + mock_ee_enabled: MagicMock, + ) -> None: + mock_trace_manager = MagicMock() + context = {"tenant_id": "tenant-123", "app_id": "app-123"} + payload = {"tool_name": "test_tool", "tool_inputs": {}, "tool_outputs": "result"} + + emit(TelemetryCase.TOOL_EXECUTION, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_called_once() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + @patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=True) + def test_moderation_check_trace_routed( + self, + mock_ee_enabled: MagicMock, + ) -> None: + mock_trace_manager = MagicMock() + context = {"tenant_id": "tenant-123", "app_id": "app-123"} + payload = {"message_id": "msg-123", "moderation_result": {"flagged": False}} + + emit(TelemetryCase.MODERATION_CHECK, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_called_once() + + +class TestGatewayIntegrationCEEligibility: + @pytest.fixture + def mock_trace_manager(self) -> MagicMock: + return MagicMock() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + def test_workflow_run_is_ce_eligible( + self, + mock_trace_manager: MagicMock, + ) -> None: + with patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=False): + context = {"app_id": "app-123", "user_id": "user-456"} + payload = {"workflow_run_id": "run-abc"} + + emit(TelemetryCase.WORKFLOW_RUN, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_called_once() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + def test_message_run_is_ce_eligible( + self, + mock_trace_manager: MagicMock, + ) -> None: + with patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=False): + context = {"app_id": "app-123", "user_id": "user-456"} + payload = {"message_id": "msg-abc", "conversation_id": "conv-123"} + + emit(TelemetryCase.MESSAGE_RUN, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_called_once() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + def test_node_execution_not_ce_eligible( + self, + mock_trace_manager: MagicMock, + ) -> None: + with patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=False): + context = {"app_id": "app-123", "user_id": "user-456"} + payload = {"node_id": "node-abc"} + + emit(TelemetryCase.NODE_EXECUTION, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_not_called() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + def test_draft_node_execution_not_ce_eligible( + self, + mock_trace_manager: MagicMock, + ) -> None: + with patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=False): + context = {"app_id": "app-123", "user_id": "user-456"} + payload = {"node_execution_data": {}} + + emit(TelemetryCase.DRAFT_NODE_EXECUTION, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_not_called() + + @pytest.mark.usefixtures("mock_ops_trace_manager") + def test_prompt_generation_not_ce_eligible( + self, + mock_trace_manager: MagicMock, + ) -> None: + with patch("core.telemetry.gateway.is_enterprise_telemetry_enabled", return_value=False): + context = {"app_id": "app-123", "user_id": "user-456", "tenant_id": "tenant-789"} + payload = {"operation_type": "generate", "instruction": "test"} + + emit(TelemetryCase.PROMPT_GENERATION, context, payload, mock_trace_manager) + + mock_trace_manager.add_trace_task.assert_not_called() + + +class TestIsEnterpriseTelemetryEnabled: + def test_returns_false_when_exporter_import_fails(self) -> None: + with patch.dict(sys.modules, {"enterprise.telemetry.exporter": None}): + result = is_enterprise_telemetry_enabled() + assert result is False + + def test_function_is_callable(self) -> None: + assert callable(is_enterprise_telemetry_enabled) diff --git a/api/tests/unit_tests/core/test_file.py b/api/tests/unit_tests/core/test_file.py index f17927f16b..ac65d0c02b 100644 --- a/api/tests/unit_tests/core/test_file.py +++ b/api/tests/unit_tests/core/test_file.py @@ -1,6 +1,7 @@ import json from graphon.file import File, FileTransferMethod, FileType, FileUploadConfig + from models.workflow import Workflow diff --git a/api/tests/unit_tests/core/test_model_manager.py b/api/tests/unit_tests/core/test_model_manager.py index afea9144c0..f5efb78b61 100644 --- a/api/tests/unit_tests/core/test_model_manager.py +++ b/api/tests/unit_tests/core/test_model_manager.py @@ -2,12 +2,12 @@ from unittest.mock import MagicMock, patch import pytest import redis +from graphon.model_runtime.entities.model_entities import ModelType from pytest_mock import MockerFixture from core.entities.provider_entities import ModelLoadBalancingConfiguration from core.model_manager import LBModelManager from extensions.ext_redis import redis_client -from graphon.model_runtime.entities.model_entities import ModelType @pytest.fixture diff --git a/api/tests/unit_tests/core/test_provider_configuration.py b/api/tests/unit_tests/core/test_provider_configuration.py index b19a21d7f4..331166fe63 100644 --- a/api/tests/unit_tests/core/test_provider_configuration.py +++ b/api/tests/unit_tests/core/test_provider_configuration.py @@ -1,6 +1,15 @@ from unittest.mock import Mock, patch import pytest +from graphon.model_runtime.entities.common_entities import I18nObject +from graphon.model_runtime.entities.model_entities import ModelType +from graphon.model_runtime.entities.provider_entities import ( + ConfigurateMethod, + CredentialFormSchema, + FormOption, + FormType, + ProviderEntity, +) from core.entities.provider_configuration import ProviderConfiguration, SystemConfigurationStatus from core.entities.provider_entities import ( @@ -12,15 +21,6 @@ from core.entities.provider_entities import ( RestrictModel, SystemConfiguration, ) -from graphon.model_runtime.entities.common_entities import I18nObject -from graphon.model_runtime.entities.model_entities import ModelType -from graphon.model_runtime.entities.provider_entities import ( - ConfigurateMethod, - CredentialFormSchema, - FormOption, - FormType, - ProviderEntity, -) from models.provider import Provider, ProviderType diff --git a/api/tests/unit_tests/core/test_provider_manager.py b/api/tests/unit_tests/core/test_provider_manager.py index 7f6a50af99..259cb5fdd0 100644 --- a/api/tests/unit_tests/core/test_provider_manager.py +++ b/api/tests/unit_tests/core/test_provider_manager.py @@ -2,12 +2,12 @@ from types import SimpleNamespace from unittest.mock import MagicMock, Mock, PropertyMock, patch import pytest +from graphon.model_runtime.entities.common_entities import I18nObject +from graphon.model_runtime.entities.model_entities import ModelType from pytest_mock import MockerFixture from core.entities.provider_entities import ModelSettings from core.provider_manager import ProviderManager -from graphon.model_runtime.entities.common_entities import I18nObject -from graphon.model_runtime.entities.model_entities import ModelType from models.provider import LoadBalancingModelConfig, ProviderModelSetting, TenantDefaultModel from models.provider_ids import ModelProviderID diff --git a/api/tests/unit_tests/core/tools/test_builtin_tool_base.py b/api/tests/unit_tests/core/tools/test_builtin_tool_base.py index 1ff81f6120..5d744f88c9 100644 --- a/api/tests/unit_tests/core/tools/test_builtin_tool_base.py +++ b/api/tests/unit_tests/core/tools/test_builtin_tool_base.py @@ -6,13 +6,13 @@ from typing import Any from unittest.mock import patch import pytest +from graphon.model_runtime.entities.message_entities import UserPromptMessage from core.app.entities.app_invoke_entities import InvokeFrom from core.tools.__base.tool_runtime import ToolRuntime from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_entities import ToolEntity, ToolIdentity, ToolInvokeMessage, ToolProviderType -from graphon.model_runtime.entities.message_entities import UserPromptMessage class _BuiltinDummyTool(BuiltinTool): diff --git a/api/tests/unit_tests/core/tools/test_builtin_tools_extra.py b/api/tests/unit_tests/core/tools/test_builtin_tools_extra.py index 9ac280e31a..ee0ce51eec 100644 --- a/api/tests/unit_tests/core/tools/test_builtin_tools_extra.py +++ b/api/tests/unit_tests/core/tools/test_builtin_tools_extra.py @@ -6,6 +6,8 @@ from datetime import date from types import SimpleNamespace import pytest +from graphon.file import FileType +from graphon.model_runtime.entities.model_entities import ModelPropertyKey from core.app.entities.app_invoke_entities import InvokeFrom from core.tools.__base.tool_runtime import ToolRuntime @@ -27,8 +29,6 @@ from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_entities import ToolEntity, ToolIdentity, ToolInvokeMessage from core.tools.errors import ToolInvokeError -from graphon.file.enums import FileType -from graphon.model_runtime.entities.model_entities import ModelPropertyKey def _build_builtin_tool(tool_cls: type[BuiltinTool]) -> BuiltinTool: diff --git a/api/tests/unit_tests/core/tools/test_tool_file_manager.py b/api/tests/unit_tests/core/tools/test_tool_file_manager.py index b3442636b7..7fcebde3c5 100644 --- a/api/tests/unit_tests/core/tools/test_tool_file_manager.py +++ b/api/tests/unit_tests/core/tools/test_tool_file_manager.py @@ -12,9 +12,9 @@ from unittest.mock import MagicMock, Mock, patch import httpx import pytest +from graphon.file import FileTransferMethod from core.tools.tool_file_manager import ToolFileManager -from graphon.file import FileTransferMethod def _setup_tool_file_signing(monkeypatch: pytest.MonkeyPatch) -> dict[str, str]: diff --git a/api/tests/unit_tests/core/tools/test_tool_label_manager.py b/api/tests/unit_tests/core/tools/test_tool_label_manager.py index 857f4aa178..8c0e7e9419 100644 --- a/api/tests/unit_tests/core/tools/test_tool_label_manager.py +++ b/api/tests/unit_tests/core/tools/test_tool_label_manager.py @@ -38,11 +38,9 @@ def test_tool_label_manager_filter_tool_labels(): def test_tool_label_manager_update_tool_labels_db(): controller = _api_controller("api-1") with patch("core.tools.tool_label_manager.db") as mock_db: - delete_query = mock_db.session.query.return_value.where.return_value - delete_query.delete.return_value = None ToolLabelManager.update_tool_labels(controller, ["search", "search", "invalid"]) - delete_query.delete.assert_called_once() + mock_db.session.execute.assert_called_once() # only one valid unique label should be inserted. assert mock_db.session.add.call_count == 1 mock_db.session.commit.assert_called_once() diff --git a/api/tests/unit_tests/core/tools/test_tool_manager.py b/api/tests/unit_tests/core/tools/test_tool_manager.py index 844bc01e29..31b68f0b3f 100644 --- a/api/tests/unit_tests/core/tools/test_tool_manager.py +++ b/api/tests/unit_tests/core/tools/test_tool_manager.py @@ -220,9 +220,7 @@ def test_get_tool_runtime_builtin_with_credentials_decrypts_and_forks(): with patch.object(ToolManager, "get_builtin_provider", return_value=controller): with patch("core.helper.credential_utils.check_credential_policy_compliance"): with patch("core.tools.tool_manager.db") as mock_db: - mock_db.session.query.return_value.where.return_value.order_by.return_value.first.return_value = ( - builtin_provider - ) + mock_db.session.scalar.return_value = builtin_provider encrypter = Mock() encrypter.decrypt.return_value = {"api_key": "secret"} cache = Mock() @@ -274,7 +272,7 @@ def test_get_tool_runtime_builtin_refreshes_expired_oauth_credentials( ) refreshed = SimpleNamespace(credentials={"token": "new"}, expires_at=123456) - mock_db.session.query.return_value.where.return_value.order_by.return_value.first.return_value = builtin_provider + mock_db.session.scalar.return_value = builtin_provider encrypter = Mock() encrypter.decrypt.return_value = {"token": "old"} encrypter.encrypt.return_value = {"token": "encrypted"} @@ -698,12 +696,10 @@ def test_get_api_provider_controller_returns_controller_and_credentials(): privacy_policy="privacy", custom_disclaimer="disclaimer", ) - db_query = Mock() - db_query.where.return_value.first.return_value = provider controller = Mock() with patch("core.tools.tool_manager.db") as mock_db: - mock_db.session.query.return_value = db_query + mock_db.session.scalar.return_value = provider with patch( "core.tools.tool_manager.ApiToolProviderController.from_db", return_value=controller ) as mock_from_db: @@ -730,12 +726,10 @@ def test_user_get_api_provider_masks_credentials_and_adds_labels(): privacy_policy="privacy", custom_disclaimer="disclaimer", ) - db_query = Mock() - db_query.where.return_value.first.return_value = provider controller = Mock() with patch("core.tools.tool_manager.db") as mock_db: - mock_db.session.query.return_value = db_query + mock_db.session.scalar.return_value = provider with patch("core.tools.tool_manager.ApiToolProviderController.from_db", return_value=controller): encrypter = Mock() encrypter.decrypt.return_value = {"api_key_value": "secret"} @@ -750,7 +744,7 @@ def test_user_get_api_provider_masks_credentials_and_adds_labels(): def test_get_api_provider_controller_not_found_raises(): with patch("core.tools.tool_manager.db") as mock_db: - mock_db.session.query.return_value.where.return_value.first.return_value = None + mock_db.session.scalar.return_value = None with pytest.raises(ToolProviderNotFoundError, match="api provider missing not found"): ToolManager.get_api_provider_controller("tenant-1", "missing") @@ -809,14 +803,14 @@ def test_generate_tool_icon_urls_for_workflow_and_api(): workflow_provider = SimpleNamespace(icon='{"background": "#222", "content": "W"}') api_provider = SimpleNamespace(icon='{"background": "#333", "content": "A"}') with patch("core.tools.tool_manager.db") as mock_db: - mock_db.session.query.return_value.where.return_value.first.side_effect = [workflow_provider, api_provider] + mock_db.session.scalar.side_effect = [workflow_provider, api_provider] assert ToolManager.generate_workflow_tool_icon_url("tenant-1", "wf-1") == {"background": "#222", "content": "W"} assert ToolManager.generate_api_tool_icon_url("tenant-1", "api-1") == {"background": "#333", "content": "A"} def test_generate_tool_icon_urls_missing_workflow_and_api_use_default(): with patch("core.tools.tool_manager.db") as mock_db: - mock_db.session.query.return_value.where.return_value.first.return_value = None + mock_db.session.scalar.return_value = None assert ToolManager.generate_workflow_tool_icon_url("tenant-1", "missing")["background"] == "#252525" assert ToolManager.generate_api_tool_icon_url("tenant-1", "missing")["background"] == "#252525" diff --git a/api/tests/unit_tests/core/tools/utils/test_misc_utils_extra.py b/api/tests/unit_tests/core/tools/utils/test_misc_utils_extra.py index 4ce73272bf..a93624123e 100644 --- a/api/tests/unit_tests/core/tools/utils/test_misc_utils_extra.py +++ b/api/tests/unit_tests/core/tools/utils/test_misc_utils_extra.py @@ -263,7 +263,7 @@ def test_single_dataset_retriever_non_economy_run_sorts_context_and_resources(): ) db_session = Mock() db_session.scalar.side_effect = [dataset, lookup_doc_low, lookup_doc_high] - db_session.query.return_value.filter_by.return_value.first.return_value = dataset + db_session.get.return_value = dataset tool = SingleDatasetRetrieverTool( tenant_id="tenant-1", @@ -444,7 +444,7 @@ def test_multi_dataset_retriever_run_orders_segments_and_returns_resources(): ) db_session = Mock() db_session.scalars.return_value.all.return_value = [segment_for_node_2, segment_for_node_1] - db_session.query.return_value.filter_by.return_value.first.side_effect = [ + db_session.get.side_effect = [ SimpleNamespace(id="dataset-2", name="Dataset Two"), SimpleNamespace(id="dataset-1", name="Dataset One"), ] diff --git a/api/tests/unit_tests/core/tools/utils/test_model_invocation_utils.py b/api/tests/unit_tests/core/tools/utils/test_model_invocation_utils.py index a4a563a4a1..52f262e1cf 100644 --- a/api/tests/unit_tests/core/tools/utils/test_model_invocation_utils.py +++ b/api/tests/unit_tests/core/tools/utils/test_model_invocation_utils.py @@ -13,8 +13,6 @@ from types import SimpleNamespace from unittest.mock import Mock, patch import pytest - -from core.tools.utils.model_invocation_utils import InvokeModelError, ModelInvocationUtils from graphon.model_runtime.entities.model_entities import ModelPropertyKey from graphon.model_runtime.errors.invoke import ( InvokeAuthorizationError, @@ -24,6 +22,8 @@ from graphon.model_runtime.errors.invoke import ( InvokeServerUnavailableError, ) +from core.tools.utils.model_invocation_utils import InvokeModelError, ModelInvocationUtils + def _mock_model_instance(*, schema: dict | None = None) -> SimpleNamespace: model_type_instance = Mock() diff --git a/api/tests/unit_tests/core/tools/utils/test_workflow_configuration_sync.py b/api/tests/unit_tests/core/tools/utils/test_workflow_configuration_sync.py index 43f3fbd5c9..0e3a7e623a 100644 --- a/api/tests/unit_tests/core/tools/utils/test_workflow_configuration_sync.py +++ b/api/tests/unit_tests/core/tools/utils/test_workflow_configuration_sync.py @@ -1,9 +1,9 @@ import pytest +from graphon.variables.input_entities import VariableEntity, VariableEntityType from core.tools.entities.tool_entities import ToolParameter, WorkflowToolParameterConfiguration from core.tools.errors import WorkflowToolHumanInputNotSupportedError from core.tools.utils.workflow_configuration_sync import WorkflowToolConfigurationUtils -from graphon.variables.input_entities import VariableEntity, VariableEntityType def test_ensure_no_human_input_nodes_passes_for_non_human_input(): diff --git a/api/tests/unit_tests/core/tools/workflow_as_tool/test_provider.py b/api/tests/unit_tests/core/tools/workflow_as_tool/test_provider.py index b147d7fcdb..2607861b59 100644 --- a/api/tests/unit_tests/core/tools/workflow_as_tool/test_provider.py +++ b/api/tests/unit_tests/core/tools/workflow_as_tool/test_provider.py @@ -4,6 +4,7 @@ from types import SimpleNamespace from unittest.mock import MagicMock, Mock, patch import pytest +from graphon.variables.input_entities import VariableEntity, VariableEntityType from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_entities import ( @@ -13,7 +14,6 @@ from core.tools.entities.tool_entities import ( ToolProviderType, ) from core.tools.workflow_as_tool.provider import WorkflowToolProviderController -from graphon.variables.input_entities import VariableEntity, VariableEntityType def _controller() -> WorkflowToolProviderController: diff --git a/api/tests/unit_tests/core/tools/workflow_as_tool/test_tool.py b/api/tests/unit_tests/core/tools/workflow_as_tool/test_tool.py index 72a73dd936..c20edd7400 100644 --- a/api/tests/unit_tests/core/tools/workflow_as_tool/test_tool.py +++ b/api/tests/unit_tests/core/tools/workflow_as_tool/test_tool.py @@ -11,6 +11,7 @@ from typing import Any from unittest.mock import MagicMock, Mock, patch import pytest +from graphon.file import FILE_MODEL_IDENTITY, FileTransferMethod, FileType from core.app.entities.app_invoke_entities import InvokeFrom from core.tools.__base.tool_runtime import ToolRuntime @@ -24,7 +25,6 @@ from core.tools.entities.tool_entities import ( ) from core.tools.errors import ToolInvokeError from core.tools.workflow_as_tool.tool import WorkflowTool -from graphon.file import FILE_MODEL_IDENTITY, FileTransferMethod, FileType class StubScalars: diff --git a/api/tests/unit_tests/core/trigger/debug/test_debug_event_selectors.py b/api/tests/unit_tests/core/trigger/debug/test_debug_event_selectors.py index ee7a3d9c96..78622b78b6 100644 --- a/api/tests/unit_tests/core/trigger/debug/test_debug_event_selectors.py +++ b/api/tests/unit_tests/core/trigger/debug/test_debug_event_selectors.py @@ -11,6 +11,7 @@ from datetime import datetime from unittest.mock import MagicMock, patch import pytest +from graphon.enums import BuiltinNodeTypes, NodeType from core.plugin.entities.request import TriggerInvokeEventResponse from core.trigger.constants import ( @@ -26,7 +27,6 @@ from core.trigger.debug.event_selectors import ( select_trigger_debug_events, ) from core.trigger.debug.events import PluginTriggerDebugEvent, WebhookDebugEvent -from graphon.enums import BuiltinNodeTypes, NodeType from tests.unit_tests.core.trigger.conftest import VALID_PROVIDER_ID diff --git a/api/tests/unit_tests/core/variables/test_segment.py b/api/tests/unit_tests/core/variables/test_segment.py index 72052c8c05..7406b88270 100644 --- a/api/tests/unit_tests/core/variables/test_segment.py +++ b/api/tests/unit_tests/core/variables/test_segment.py @@ -2,11 +2,6 @@ import dataclasses import orjson import pytest -from pydantic import BaseModel - -from core.helper import encrypter -from core.workflow.system_variables import build_bootstrap_variables, build_system_variables -from core.workflow.variable_pool_initializer import add_variables_to_pool from graphon.file import File, FileTransferMethod, FileType from graphon.runtime import VariablePool from graphon.variables.segment_group import SegmentGroup @@ -47,6 +42,11 @@ from graphon.variables.variables import ( StringVariable, Variable, ) +from pydantic import BaseModel + +from core.helper import encrypter +from core.workflow.system_variables import build_bootstrap_variables, build_system_variables +from core.workflow.variable_pool_initializer import add_variables_to_pool def _build_variable_pool( diff --git a/api/tests/unit_tests/core/variables/test_segment_type.py b/api/tests/unit_tests/core/variables/test_segment_type.py index d4e862220a..37ecd2890b 100644 --- a/api/tests/unit_tests/core/variables/test_segment_type.py +++ b/api/tests/unit_tests/core/variables/test_segment_type.py @@ -1,5 +1,4 @@ import pytest - from graphon.variables.segment_group import SegmentGroup from graphon.variables.segments import StringSegment from graphon.variables.types import ArrayValidation, SegmentType diff --git a/api/tests/unit_tests/core/variables/test_segment_type_validation.py b/api/tests/unit_tests/core/variables/test_segment_type_validation.py index 14f9b2991d..09254e17a3 100644 --- a/api/tests/unit_tests/core/variables/test_segment_type_validation.py +++ b/api/tests/unit_tests/core/variables/test_segment_type_validation.py @@ -9,9 +9,7 @@ from dataclasses import dataclass from typing import Any import pytest - -from graphon.file.enums import FileTransferMethod, FileType -from graphon.file.models import File +from graphon.file import File, FileTransferMethod, FileType from graphon.variables.segment_group import SegmentGroup from graphon.variables.segments import ( ArrayFileSegment, diff --git a/api/tests/unit_tests/core/variables/test_variables.py b/api/tests/unit_tests/core/variables/test_variables.py index dae5e1ce98..75b01bf42e 100644 --- a/api/tests/unit_tests/core/variables/test_variables.py +++ b/api/tests/unit_tests/core/variables/test_variables.py @@ -1,6 +1,4 @@ import pytest -from pydantic import ValidationError - from graphon.variables import ( ArrayFileVariable, ArrayVariable, @@ -12,6 +10,7 @@ from graphon.variables import ( StringVariable, ) from graphon.variables.variables import VariableBase +from pydantic import ValidationError def test_frozen_variables(): diff --git a/api/tests/unit_tests/core/workflow/entities/test_graph_runtime_state.py b/api/tests/unit_tests/core/workflow/entities/test_graph_runtime_state.py deleted file mode 100644 index ef5500b72f..0000000000 --- a/api/tests/unit_tests/core/workflow/entities/test_graph_runtime_state.py +++ /dev/null @@ -1,307 +0,0 @@ -import json -from time import time -from unittest.mock import MagicMock, patch - -import pytest - -from core.workflow.variable_prefixes import CONVERSATION_VARIABLE_NODE_ID -from graphon.model_runtime.entities.llm_entities import LLMUsage -from graphon.runtime import GraphRuntimeState, ReadOnlyGraphRuntimeStateWrapper, VariablePool -from graphon.variables.variables import StringVariable - - -class StubCoordinator: - def __init__(self) -> None: - self.state = "initial" - - def dumps(self) -> str: - return json.dumps({"state": self.state}) - - def loads(self, data: str) -> None: - payload = json.loads(data) - self.state = payload["state"] - - -class TestGraphRuntimeState: - def test_execution_context_defaults_to_empty_context(self): - state = GraphRuntimeState(variable_pool=VariablePool(), start_at=time()) - - with state.execution_context: - assert state.execution_context is not None - - state.execution_context = None - - with state.execution_context: - assert state.execution_context is not None - - def test_property_getters_and_setters(self): - # FIXME(-LAN-): Mock VariablePool if needed - variable_pool = VariablePool() - start_time = time() - - state = GraphRuntimeState(variable_pool=variable_pool, start_at=start_time) - - # Test variable_pool property (read-only) - assert state.variable_pool == variable_pool - - # Test start_at property - assert state.start_at == start_time - new_time = time() + 100 - state.start_at = new_time - assert state.start_at == new_time - - # Test total_tokens property - assert state.total_tokens == 0 - state.total_tokens = 100 - assert state.total_tokens == 100 - - # Test node_run_steps property - assert state.node_run_steps == 0 - state.node_run_steps = 5 - assert state.node_run_steps == 5 - - def test_outputs_immutability(self): - variable_pool = VariablePool() - state = GraphRuntimeState(variable_pool=variable_pool, start_at=time()) - - # Test that getting outputs returns a copy - outputs1 = state.outputs - outputs2 = state.outputs - assert outputs1 == outputs2 - assert outputs1 is not outputs2 # Different objects - - # Test that modifying retrieved outputs doesn't affect internal state - outputs = state.outputs - outputs["test"] = "value" - assert "test" not in state.outputs - - # Test set_output method - state.set_output("key1", "value1") - assert state.get_output("key1") == "value1" - - # Test update_outputs method - state.update_outputs({"key2": "value2", "key3": "value3"}) - assert state.get_output("key2") == "value2" - assert state.get_output("key3") == "value3" - - def test_llm_usage_immutability(self): - variable_pool = VariablePool() - state = GraphRuntimeState(variable_pool=variable_pool, start_at=time()) - - # Test that getting llm_usage returns a copy - usage1 = state.llm_usage - usage2 = state.llm_usage - assert usage1 is not usage2 # Different objects - - def test_type_validation(self): - variable_pool = VariablePool() - state = GraphRuntimeState(variable_pool=variable_pool, start_at=time()) - - # Test total_tokens validation - with pytest.raises(ValueError): - state.total_tokens = -1 - - # Test node_run_steps validation - with pytest.raises(ValueError): - state.node_run_steps = -1 - - def test_helper_methods(self): - variable_pool = VariablePool() - state = GraphRuntimeState(variable_pool=variable_pool, start_at=time()) - - # Test increment_node_run_steps - initial_steps = state.node_run_steps - state.increment_node_run_steps() - assert state.node_run_steps == initial_steps + 1 - - # Test add_tokens - initial_tokens = state.total_tokens - state.add_tokens(50) - assert state.total_tokens == initial_tokens + 50 - - # Test add_tokens validation - with pytest.raises(ValueError): - state.add_tokens(-1) - - def test_ready_queue_default_instantiation(self): - state = GraphRuntimeState(variable_pool=VariablePool(), start_at=time()) - - queue = state.ready_queue - - from graphon.graph_engine.ready_queue import InMemoryReadyQueue - - assert isinstance(queue, InMemoryReadyQueue) - - def test_graph_execution_lazy_instantiation(self): - state = GraphRuntimeState(variable_pool=VariablePool(), start_at=time()) - - execution = state.graph_execution - - from graphon.graph_engine.domain.graph_execution import GraphExecution - - assert isinstance(execution, GraphExecution) - assert execution.workflow_id == "" - assert state.graph_execution is execution - - def test_response_coordinator_configuration(self): - variable_pool = VariablePool() - state = GraphRuntimeState(variable_pool=variable_pool, start_at=time()) - - with pytest.raises(ValueError): - _ = state.response_coordinator - - mock_graph = MagicMock() - with patch( - "graphon.graph_engine.response_coordinator.ResponseStreamCoordinator", autospec=True - ) as coordinator_cls: - coordinator_instance = coordinator_cls.return_value - state.configure(graph=mock_graph) - - assert state.response_coordinator is coordinator_instance - coordinator_cls.assert_called_once_with(variable_pool=variable_pool, graph=mock_graph) - - # Configure again with same graph should be idempotent - state.configure(graph=mock_graph) - - other_graph = MagicMock() - with pytest.raises(ValueError): - state.attach_graph(other_graph) - - def test_read_only_wrapper_exposes_additional_state(self): - state = GraphRuntimeState(variable_pool=VariablePool(), start_at=time()) - state.configure() - - wrapper = ReadOnlyGraphRuntimeStateWrapper(state) - - assert wrapper.ready_queue_size == 0 - assert wrapper.exceptions_count == 0 - - def test_read_only_wrapper_serializes_runtime_state(self): - state = GraphRuntimeState(variable_pool=VariablePool(), start_at=time()) - state.total_tokens = 5 - state.set_output("result", {"success": True}) - state.ready_queue.put("node-1") - - wrapper = ReadOnlyGraphRuntimeStateWrapper(state) - - wrapper_snapshot = json.loads(wrapper.dumps()) - state_snapshot = json.loads(state.dumps()) - - assert wrapper_snapshot == state_snapshot - - def test_dumps_and_loads_roundtrip_with_response_coordinator(self): - variable_pool = VariablePool() - variable_pool.add(("node1", "value"), "payload") - - state = GraphRuntimeState(variable_pool=variable_pool, start_at=time()) - state.total_tokens = 10 - state.node_run_steps = 3 - state.set_output("final", {"result": True}) - usage = LLMUsage.from_metadata( - { - "prompt_tokens": 2, - "completion_tokens": 3, - "total_tokens": 5, - "total_price": "1.23", - "currency": "USD", - "latency": 0.5, - } - ) - state.llm_usage = usage - state.ready_queue.put("node-A") - - graph_execution = state.graph_execution - graph_execution.workflow_id = "wf-123" - graph_execution.exceptions_count = 4 - graph_execution.started = True - - mock_graph = MagicMock() - stub = StubCoordinator() - with patch.object(GraphRuntimeState, "_build_response_coordinator", return_value=stub, autospec=True): - state.attach_graph(mock_graph) - - stub.state = "configured" - - snapshot = state.dumps() - - restored = GraphRuntimeState.from_snapshot(snapshot) - - assert restored.total_tokens == 10 - assert restored.node_run_steps == 3 - assert restored.get_output("final") == {"result": True} - assert restored.llm_usage.total_tokens == usage.total_tokens - assert restored.ready_queue.qsize() == 1 - assert restored.ready_queue.get(timeout=0.01) == "node-A" - - restored_segment = restored.variable_pool.get(("node1", "value")) - assert restored_segment is not None - assert restored_segment.value == "payload" - - restored_execution = restored.graph_execution - assert restored_execution.workflow_id == "wf-123" - assert restored_execution.exceptions_count == 4 - assert restored_execution.started is True - - new_stub = StubCoordinator() - with patch.object(GraphRuntimeState, "_build_response_coordinator", return_value=new_stub, autospec=True): - restored.attach_graph(mock_graph) - - assert new_stub.state == "configured" - - def test_loads_rehydrates_existing_instance(self): - variable_pool = VariablePool() - variable_pool.add(("node", "key"), "value") - - state = GraphRuntimeState(variable_pool=variable_pool, start_at=time()) - state.total_tokens = 7 - state.node_run_steps = 2 - state.set_output("foo", "bar") - state.ready_queue.put("node-1") - - execution = state.graph_execution - execution.workflow_id = "wf-456" - execution.started = True - - mock_graph = MagicMock() - original_stub = StubCoordinator() - with patch.object(GraphRuntimeState, "_build_response_coordinator", return_value=original_stub, autospec=True): - state.attach_graph(mock_graph) - - original_stub.state = "configured" - snapshot = state.dumps() - - new_stub = StubCoordinator() - with patch.object(GraphRuntimeState, "_build_response_coordinator", return_value=new_stub, autospec=True): - restored = GraphRuntimeState(variable_pool=VariablePool(), start_at=0.0) - restored.attach_graph(mock_graph) - restored.loads(snapshot) - - assert restored.total_tokens == 7 - assert restored.node_run_steps == 2 - assert restored.get_output("foo") == "bar" - assert restored.ready_queue.qsize() == 1 - assert restored.ready_queue.get(timeout=0.01) == "node-1" - - restored_segment = restored.variable_pool.get(("node", "key")) - assert restored_segment is not None - assert restored_segment.value == "value" - - restored_execution = restored.graph_execution - assert restored_execution.workflow_id == "wf-456" - assert restored_execution.started is True - - assert new_stub.state == "configured" - - def test_snapshot_restore_preserves_updated_conversation_variable(self): - variable_pool = VariablePool( - conversation_variables=[StringVariable(name="session_name", value="before")], - ) - variable_pool.add((CONVERSATION_VARIABLE_NODE_ID, "session_name"), "after") - - state = GraphRuntimeState(variable_pool=variable_pool, start_at=time()) - snapshot = state.dumps() - restored = GraphRuntimeState.from_snapshot(snapshot) - - restored_value = restored.variable_pool.get((CONVERSATION_VARIABLE_NODE_ID, "session_name")) - assert restored_value is not None - assert restored_value.value == "after" diff --git a/api/tests/unit_tests/core/workflow/entities/test_pause_reason.py b/api/tests/unit_tests/core/workflow/entities/test_pause_reason.py deleted file mode 100644 index 856ec959b7..0000000000 --- a/api/tests/unit_tests/core/workflow/entities/test_pause_reason.py +++ /dev/null @@ -1,88 +0,0 @@ -""" -Tests for PauseReason discriminated union serialization/deserialization. -""" - -import pytest -from pydantic import BaseModel, ValidationError - -from graphon.entities.pause_reason import ( - HumanInputRequired, - PauseReason, - SchedulingPause, -) - - -class _Holder(BaseModel): - """Helper model that embeds PauseReason for union tests.""" - - reason: PauseReason - - -class TestPauseReasonDiscriminator: - """Test suite for PauseReason union discriminator.""" - - @pytest.mark.parametrize( - ("dict_value", "expected"), - [ - pytest.param( - { - "reason": { - "TYPE": "human_input_required", - "form_id": "form_id", - "form_content": "form_content", - "node_id": "node_id", - "node_title": "node_title", - }, - }, - HumanInputRequired( - form_id="form_id", - form_content="form_content", - node_id="node_id", - node_title="node_title", - ), - id="HumanInputRequired", - ), - pytest.param( - { - "reason": { - "TYPE": "scheduled_pause", - "message": "Hold on", - } - }, - SchedulingPause(message="Hold on"), - id="SchedulingPause", - ), - ], - ) - def test_model_validate(self, dict_value, expected): - """Ensure scheduled pause payloads with lowercase TYPE deserialize.""" - holder = _Holder.model_validate(dict_value) - - assert type(holder.reason) == type(expected) - assert holder.reason == expected - - @pytest.mark.parametrize( - "reason", - [ - HumanInputRequired( - form_id="form_id", - form_content="form_content", - node_id="node_id", - node_title="node_title", - ), - SchedulingPause(message="Hold on"), - ], - ids=lambda x: type(x).__name__, - ) - def test_model_construct(self, reason): - holder = _Holder(reason=reason) - assert holder.reason == reason - - def test_model_construct_with_invalid_type(self): - with pytest.raises(ValidationError): - holder = _Holder(reason=object()) # type: ignore - - def test_unknown_type_fails_validation(self): - """Unknown TYPE values should raise a validation error.""" - with pytest.raises(ValidationError): - _Holder.model_validate({"reason": {"TYPE": "UNKNOWN"}}) diff --git a/api/tests/unit_tests/core/workflow/entities/test_template.py b/api/tests/unit_tests/core/workflow/entities/test_template.py deleted file mode 100644 index e8304b9bcd..0000000000 --- a/api/tests/unit_tests/core/workflow/entities/test_template.py +++ /dev/null @@ -1,87 +0,0 @@ -"""Tests for template module.""" - -from graphon.nodes.base.template import Template, TextSegment, VariableSegment - - -class TestTemplate: - """Test Template class functionality.""" - - def test_from_answer_template_simple(self): - """Test parsing a simple answer template.""" - template_str = "Hello, {{#node1.name#}}!" - template = Template.from_answer_template(template_str) - - assert len(template.segments) == 3 - assert isinstance(template.segments[0], TextSegment) - assert template.segments[0].text == "Hello, " - assert isinstance(template.segments[1], VariableSegment) - assert template.segments[1].selector == ["node1", "name"] - assert isinstance(template.segments[2], TextSegment) - assert template.segments[2].text == "!" - - def test_from_answer_template_multiple_vars(self): - """Test parsing an answer template with multiple variables.""" - template_str = "Hello {{#node1.name#}}, your age is {{#node2.age#}}." - template = Template.from_answer_template(template_str) - - assert len(template.segments) == 5 - assert isinstance(template.segments[0], TextSegment) - assert template.segments[0].text == "Hello " - assert isinstance(template.segments[1], VariableSegment) - assert template.segments[1].selector == ["node1", "name"] - assert isinstance(template.segments[2], TextSegment) - assert template.segments[2].text == ", your age is " - assert isinstance(template.segments[3], VariableSegment) - assert template.segments[3].selector == ["node2", "age"] - assert isinstance(template.segments[4], TextSegment) - assert template.segments[4].text == "." - - def test_from_answer_template_no_vars(self): - """Test parsing an answer template with no variables.""" - template_str = "Hello, world!" - template = Template.from_answer_template(template_str) - - assert len(template.segments) == 1 - assert isinstance(template.segments[0], TextSegment) - assert template.segments[0].text == "Hello, world!" - - def test_from_end_outputs_single(self): - """Test creating template from End node outputs with single variable.""" - outputs_config = [{"variable": "text", "value_selector": ["node1", "text"]}] - template = Template.from_end_outputs(outputs_config) - - assert len(template.segments) == 1 - assert isinstance(template.segments[0], VariableSegment) - assert template.segments[0].selector == ["node1", "text"] - - def test_from_end_outputs_multiple(self): - """Test creating template from End node outputs with multiple variables.""" - outputs_config = [ - {"variable": "text", "value_selector": ["node1", "text"]}, - {"variable": "result", "value_selector": ["node2", "result"]}, - ] - template = Template.from_end_outputs(outputs_config) - - assert len(template.segments) == 3 - assert isinstance(template.segments[0], VariableSegment) - assert template.segments[0].selector == ["node1", "text"] - assert template.segments[0].variable_name == "text" - assert isinstance(template.segments[1], TextSegment) - assert template.segments[1].text == "\n" - assert isinstance(template.segments[2], VariableSegment) - assert template.segments[2].selector == ["node2", "result"] - assert template.segments[2].variable_name == "result" - - def test_from_end_outputs_empty(self): - """Test creating template from empty End node outputs.""" - outputs_config = [] - template = Template.from_end_outputs(outputs_config) - - assert len(template.segments) == 0 - - def test_template_str_representation(self): - """Test string representation of template.""" - template_str = "Hello, {{#node1.name#}}!" - template = Template.from_answer_template(template_str) - - assert str(template) == template_str diff --git a/api/tests/unit_tests/core/workflow/entities/test_variable_pool.py b/api/tests/unit_tests/core/workflow/entities/test_variable_pool.py deleted file mode 100644 index 7e08751683..0000000000 --- a/api/tests/unit_tests/core/workflow/entities/test_variable_pool.py +++ /dev/null @@ -1,136 +0,0 @@ -from graphon.runtime import VariablePool -from graphon.variables.segments import ( - BooleanSegment, - IntegerSegment, - NoneSegment, - StringSegment, -) - - -class TestVariablePoolGetAndNestedAttribute: - # - # _get_nested_attribute tests - # - def test__get_nested_attribute_existing_key(self): - pool = VariablePool.empty() - obj = {"a": 123} - segment = pool._get_nested_attribute(obj, "a") - assert segment is not None - assert segment.value == 123 - - def test__get_nested_attribute_missing_key(self): - pool = VariablePool.empty() - obj = {"a": 123} - segment = pool._get_nested_attribute(obj, "b") - assert segment is None - - def test__get_nested_attribute_non_dict(self): - pool = VariablePool.empty() - obj = ["not", "a", "dict"] - segment = pool._get_nested_attribute(obj, "a") - assert segment is None - - def test__get_nested_attribute_with_none_value(self): - pool = VariablePool.empty() - obj = {"a": None} - segment = pool._get_nested_attribute(obj, "a") - assert segment is not None - assert isinstance(segment, NoneSegment) - - def test__get_nested_attribute_with_empty_string(self): - pool = VariablePool.empty() - obj = {"a": ""} - segment = pool._get_nested_attribute(obj, "a") - assert segment is not None - assert isinstance(segment, StringSegment) - assert segment.value == "" - - # - # get tests - # - def test_get_simple_variable(self): - pool = VariablePool.empty() - pool.add(("node1", "var1"), "value1") - segment = pool.get(("node1", "var1")) - assert segment is not None - assert segment.value == "value1" - - def test_get_missing_variable(self): - pool = VariablePool.empty() - result = pool.get(("node1", "unknown")) - assert result is None - - def test_get_with_too_short_selector(self): - pool = VariablePool.empty() - result = pool.get(("only_node",)) - assert result is None - - def test_get_nested_object_attribute(self): - pool = VariablePool.empty() - obj_value = {"inner": "hello"} - pool.add(("node1", "obj"), obj_value) - - # simulate selector with nested attr - segment = pool.get(("node1", "obj", "inner")) - assert segment is not None - assert segment.value == "hello" - - def test_get_nested_object_missing_attribute(self): - pool = VariablePool.empty() - obj_value = {"inner": "hello"} - pool.add(("node1", "obj"), obj_value) - - result = pool.get(("node1", "obj", "not_exist")) - assert result is None - - def test_get_nested_object_attribute_with_falsy_values(self): - pool = VariablePool.empty() - obj_value = { - "inner_none": None, - "inner_empty": "", - "inner_zero": 0, - "inner_false": False, - } - pool.add(("node1", "obj"), obj_value) - - segment_none = pool.get(("node1", "obj", "inner_none")) - assert segment_none is not None - assert isinstance(segment_none, NoneSegment) - - segment_empty = pool.get(("node1", "obj", "inner_empty")) - assert segment_empty is not None - assert isinstance(segment_empty, StringSegment) - assert segment_empty.value == "" - - segment_zero = pool.get(("node1", "obj", "inner_zero")) - assert segment_zero is not None - assert isinstance(segment_zero, IntegerSegment) - assert segment_zero.value == 0 - - segment_false = pool.get(("node1", "obj", "inner_false")) - assert segment_false is not None - assert isinstance(segment_false, BooleanSegment) - assert segment_false.value is False - - -class TestVariablePoolGetNotModifyVariableDictionary: - _NODE_ID = "start" - _VAR_NAME = "name" - - def test_convert_to_template_should_not_introduce_extra_keys(self): - pool = VariablePool.empty() - pool.add([self._NODE_ID, self._VAR_NAME], 0) - pool.convert_template("The start.name is {{#start.name#}}") - assert "The start" not in pool.variable_dictionary - - def test_get_should_not_modify_variable_dictionary(self): - pool = VariablePool.empty() - pool.get([self._NODE_ID, self._VAR_NAME]) - assert len(pool.variable_dictionary) == 0 - assert "start" not in pool.variable_dictionary - - pool = VariablePool.empty() - pool.add([self._NODE_ID, self._VAR_NAME], "Joe") - pool.get([self._NODE_ID, "count"]) - start_subdict = pool.variable_dictionary[self._NODE_ID] - assert "count" not in start_subdict diff --git a/api/tests/unit_tests/core/workflow/entities/test_workflow_node_execution.py b/api/tests/unit_tests/core/workflow/entities/test_workflow_node_execution.py deleted file mode 100644 index 5e697f22f3..0000000000 --- a/api/tests/unit_tests/core/workflow/entities/test_workflow_node_execution.py +++ /dev/null @@ -1,225 +0,0 @@ -""" -Unit tests for WorkflowNodeExecution domain model, focusing on process_data truncation functionality. -""" - -from dataclasses import dataclass -from datetime import datetime -from typing import Any - -import pytest - -from graphon.entities.workflow_node_execution import WorkflowNodeExecution -from graphon.enums import BuiltinNodeTypes - - -class TestWorkflowNodeExecutionProcessDataTruncation: - """Test process_data truncation functionality in WorkflowNodeExecution domain model.""" - - def create_workflow_node_execution( - self, - process_data: dict[str, Any] | None = None, - ) -> WorkflowNodeExecution: - """Create a WorkflowNodeExecution instance for testing.""" - return WorkflowNodeExecution( - id="test-execution-id", - workflow_id="test-workflow-id", - index=1, - node_id="test-node-id", - node_type=BuiltinNodeTypes.LLM, - title="Test Node", - process_data=process_data, - created_at=datetime.now(), - ) - - def test_initial_process_data_truncated_state(self): - """Test that process_data_truncated returns False initially.""" - execution = self.create_workflow_node_execution() - - assert execution.process_data_truncated is False - assert execution.get_truncated_process_data() is None - - def test_set_and_get_truncated_process_data(self): - """Test setting and getting truncated process_data.""" - execution = self.create_workflow_node_execution() - test_truncated_data = {"truncated": True, "key": "value"} - - execution.set_truncated_process_data(test_truncated_data) - - assert execution.process_data_truncated is True - assert execution.get_truncated_process_data() == test_truncated_data - - def test_set_truncated_process_data_to_none(self): - """Test setting truncated process_data to None.""" - execution = self.create_workflow_node_execution() - - # First set some data - execution.set_truncated_process_data({"key": "value"}) - assert execution.process_data_truncated is True - - # Then set to None - execution.set_truncated_process_data(None) - assert execution.process_data_truncated is False - assert execution.get_truncated_process_data() is None - - def test_get_response_process_data_with_no_truncation(self): - """Test get_response_process_data when no truncation is set.""" - original_data = {"original": True, "data": "value"} - execution = self.create_workflow_node_execution(process_data=original_data) - - response_data = execution.get_response_process_data() - - assert response_data == original_data - assert execution.process_data_truncated is False - - def test_get_response_process_data_with_truncation(self): - """Test get_response_process_data when truncation is set.""" - original_data = {"original": True, "large_data": "x" * 10000} - truncated_data = {"original": True, "large_data": "[TRUNCATED]"} - - execution = self.create_workflow_node_execution(process_data=original_data) - execution.set_truncated_process_data(truncated_data) - - response_data = execution.get_response_process_data() - - # Should return truncated data, not original - assert response_data == truncated_data - assert response_data != original_data - assert execution.process_data_truncated is True - - def test_get_response_process_data_with_none_process_data(self): - """Test get_response_process_data when process_data is None.""" - execution = self.create_workflow_node_execution(process_data=None) - - response_data = execution.get_response_process_data() - - assert response_data is None - assert execution.process_data_truncated is False - - def test_consistency_with_inputs_outputs_pattern(self): - """Test that process_data truncation follows the same pattern as inputs/outputs.""" - execution = self.create_workflow_node_execution() - - # Test that all truncation methods exist and behave consistently - test_data = {"test": "data"} - - # Test inputs truncation - execution.set_truncated_inputs(test_data) - assert execution.inputs_truncated is True - assert execution.get_truncated_inputs() == test_data - - # Test outputs truncation - execution.set_truncated_outputs(test_data) - assert execution.outputs_truncated is True - assert execution.get_truncated_outputs() == test_data - - # Test process_data truncation - execution.set_truncated_process_data(test_data) - assert execution.process_data_truncated is True - assert execution.get_truncated_process_data() == test_data - - @pytest.mark.parametrize( - "test_data", - [ - {"simple": "value"}, - {"nested": {"key": "value"}}, - {"list": [1, 2, 3]}, - {"mixed": {"string": "value", "number": 42, "list": [1, 2]}}, - {}, # empty dict - ], - ) - def test_truncated_process_data_with_various_data_types(self, test_data): - """Test that truncated process_data works with various data types.""" - execution = self.create_workflow_node_execution() - - execution.set_truncated_process_data(test_data) - - assert execution.process_data_truncated is True - assert execution.get_truncated_process_data() == test_data - assert execution.get_response_process_data() == test_data - - -@dataclass -class ProcessDataScenario: - """Test scenario data for process_data functionality.""" - - name: str - original_data: dict[str, Any] | None - truncated_data: dict[str, Any] | None - expected_truncated_flag: bool - expected_response_data: dict[str, Any] | None - - -class TestWorkflowNodeExecutionProcessDataScenarios: - """Test various scenarios for process_data handling.""" - - def get_process_data_scenarios(self) -> list[ProcessDataScenario]: - """Create test scenarios for process_data functionality.""" - return [ - ProcessDataScenario( - name="no_process_data", - original_data=None, - truncated_data=None, - expected_truncated_flag=False, - expected_response_data=None, - ), - ProcessDataScenario( - name="process_data_without_truncation", - original_data={"small": "data"}, - truncated_data=None, - expected_truncated_flag=False, - expected_response_data={"small": "data"}, - ), - ProcessDataScenario( - name="process_data_with_truncation", - original_data={"large": "x" * 10000, "metadata": "info"}, - truncated_data={"large": "[TRUNCATED]", "metadata": "info"}, - expected_truncated_flag=True, - expected_response_data={"large": "[TRUNCATED]", "metadata": "info"}, - ), - ProcessDataScenario( - name="empty_process_data", - original_data={}, - truncated_data=None, - expected_truncated_flag=False, - expected_response_data={}, - ), - ProcessDataScenario( - name="complex_nested_data_with_truncation", - original_data={ - "config": {"setting": "value"}, - "logs": ["log1", "log2"] * 1000, # Large list - "status": "running", - }, - truncated_data={"config": {"setting": "value"}, "logs": "[TRUNCATED: 2000 items]", "status": "running"}, - expected_truncated_flag=True, - expected_response_data={ - "config": {"setting": "value"}, - "logs": "[TRUNCATED: 2000 items]", - "status": "running", - }, - ), - ] - - @pytest.mark.parametrize( - "scenario", - get_process_data_scenarios(None), - ids=[scenario.name for scenario in get_process_data_scenarios(None)], - ) - def test_process_data_scenarios(self, scenario: ProcessDataScenario): - """Test various process_data scenarios.""" - execution = WorkflowNodeExecution( - id="test-execution-id", - workflow_id="test-workflow-id", - index=1, - node_id="test-node-id", - node_type=BuiltinNodeTypes.LLM, - title="Test Node", - process_data=scenario.original_data, - created_at=datetime.now(), - ) - - if scenario.truncated_data is not None: - execution.set_truncated_process_data(scenario.truncated_data) - - assert execution.process_data_truncated == scenario.expected_truncated_flag - assert execution.get_response_process_data() == scenario.expected_response_data diff --git a/api/tests/unit_tests/core/workflow/graph/test_graph.py b/api/tests/unit_tests/core/workflow/graph/test_graph.py deleted file mode 100644 index b138a7dfdc..0000000000 --- a/api/tests/unit_tests/core/workflow/graph/test_graph.py +++ /dev/null @@ -1,281 +0,0 @@ -"""Unit tests for Graph class methods.""" - -from unittest.mock import Mock - -from graphon.enums import BuiltinNodeTypes, NodeExecutionType, NodeState -from graphon.graph.edge import Edge -from graphon.graph.graph import Graph -from graphon.nodes.base.node import Node - - -def create_mock_node(node_id: str, execution_type: NodeExecutionType, state: NodeState = NodeState.UNKNOWN) -> Node: - """Create a mock node for testing.""" - node = Mock(spec=Node) - node.id = node_id - node.execution_type = execution_type - node.state = state - node.node_type = BuiltinNodeTypes.START - return node - - -class TestMarkInactiveRootBranches: - """Test cases for _mark_inactive_root_branches method.""" - - def test_single_root_no_marking(self): - """Test that single root graph doesn't mark anything as skipped.""" - nodes = { - "root1": create_mock_node("root1", NodeExecutionType.ROOT), - "child1": create_mock_node("child1", NodeExecutionType.EXECUTABLE), - } - - edges = { - "edge1": Edge(id="edge1", tail="root1", head="child1", source_handle="source"), - } - - in_edges = {"child1": ["edge1"]} - out_edges = {"root1": ["edge1"]} - - Graph._mark_inactive_root_branches(nodes, edges, in_edges, out_edges, "root1") - - assert nodes["root1"].state == NodeState.UNKNOWN - assert nodes["child1"].state == NodeState.UNKNOWN - assert edges["edge1"].state == NodeState.UNKNOWN - - def test_multiple_roots_mark_inactive(self): - """Test marking inactive root branches with multiple root nodes.""" - nodes = { - "root1": create_mock_node("root1", NodeExecutionType.ROOT), - "root2": create_mock_node("root2", NodeExecutionType.ROOT), - "child1": create_mock_node("child1", NodeExecutionType.EXECUTABLE), - "child2": create_mock_node("child2", NodeExecutionType.EXECUTABLE), - } - - edges = { - "edge1": Edge(id="edge1", tail="root1", head="child1", source_handle="source"), - "edge2": Edge(id="edge2", tail="root2", head="child2", source_handle="source"), - } - - in_edges = {"child1": ["edge1"], "child2": ["edge2"]} - out_edges = {"root1": ["edge1"], "root2": ["edge2"]} - - Graph._mark_inactive_root_branches(nodes, edges, in_edges, out_edges, "root1") - - assert nodes["root1"].state == NodeState.UNKNOWN - assert nodes["root2"].state == NodeState.SKIPPED - assert nodes["child1"].state == NodeState.UNKNOWN - assert nodes["child2"].state == NodeState.SKIPPED - assert edges["edge1"].state == NodeState.UNKNOWN - assert edges["edge2"].state == NodeState.SKIPPED - - def test_shared_downstream_node(self): - """Test that shared downstream nodes are not skipped if at least one path is active.""" - nodes = { - "root1": create_mock_node("root1", NodeExecutionType.ROOT), - "root2": create_mock_node("root2", NodeExecutionType.ROOT), - "child1": create_mock_node("child1", NodeExecutionType.EXECUTABLE), - "child2": create_mock_node("child2", NodeExecutionType.EXECUTABLE), - "shared": create_mock_node("shared", NodeExecutionType.EXECUTABLE), - } - - edges = { - "edge1": Edge(id="edge1", tail="root1", head="child1", source_handle="source"), - "edge2": Edge(id="edge2", tail="root2", head="child2", source_handle="source"), - "edge3": Edge(id="edge3", tail="child1", head="shared", source_handle="source"), - "edge4": Edge(id="edge4", tail="child2", head="shared", source_handle="source"), - } - - in_edges = { - "child1": ["edge1"], - "child2": ["edge2"], - "shared": ["edge3", "edge4"], - } - out_edges = { - "root1": ["edge1"], - "root2": ["edge2"], - "child1": ["edge3"], - "child2": ["edge4"], - } - - Graph._mark_inactive_root_branches(nodes, edges, in_edges, out_edges, "root1") - - assert nodes["root1"].state == NodeState.UNKNOWN - assert nodes["root2"].state == NodeState.SKIPPED - assert nodes["child1"].state == NodeState.UNKNOWN - assert nodes["child2"].state == NodeState.SKIPPED - assert nodes["shared"].state == NodeState.UNKNOWN # Not skipped because edge3 is active - assert edges["edge1"].state == NodeState.UNKNOWN - assert edges["edge2"].state == NodeState.SKIPPED - assert edges["edge3"].state == NodeState.UNKNOWN - assert edges["edge4"].state == NodeState.SKIPPED - - def test_deep_branch_marking(self): - """Test marking deep branches with multiple levels.""" - nodes = { - "root1": create_mock_node("root1", NodeExecutionType.ROOT), - "root2": create_mock_node("root2", NodeExecutionType.ROOT), - "level1_a": create_mock_node("level1_a", NodeExecutionType.EXECUTABLE), - "level1_b": create_mock_node("level1_b", NodeExecutionType.EXECUTABLE), - "level2_a": create_mock_node("level2_a", NodeExecutionType.EXECUTABLE), - "level2_b": create_mock_node("level2_b", NodeExecutionType.EXECUTABLE), - "level3": create_mock_node("level3", NodeExecutionType.EXECUTABLE), - } - - edges = { - "edge1": Edge(id="edge1", tail="root1", head="level1_a", source_handle="source"), - "edge2": Edge(id="edge2", tail="root2", head="level1_b", source_handle="source"), - "edge3": Edge(id="edge3", tail="level1_a", head="level2_a", source_handle="source"), - "edge4": Edge(id="edge4", tail="level1_b", head="level2_b", source_handle="source"), - "edge5": Edge(id="edge5", tail="level2_b", head="level3", source_handle="source"), - } - - in_edges = { - "level1_a": ["edge1"], - "level1_b": ["edge2"], - "level2_a": ["edge3"], - "level2_b": ["edge4"], - "level3": ["edge5"], - } - out_edges = { - "root1": ["edge1"], - "root2": ["edge2"], - "level1_a": ["edge3"], - "level1_b": ["edge4"], - "level2_b": ["edge5"], - } - - Graph._mark_inactive_root_branches(nodes, edges, in_edges, out_edges, "root1") - - assert nodes["root1"].state == NodeState.UNKNOWN - assert nodes["root2"].state == NodeState.SKIPPED - assert nodes["level1_a"].state == NodeState.UNKNOWN - assert nodes["level1_b"].state == NodeState.SKIPPED - assert nodes["level2_a"].state == NodeState.UNKNOWN - assert nodes["level2_b"].state == NodeState.SKIPPED - assert nodes["level3"].state == NodeState.SKIPPED - assert edges["edge1"].state == NodeState.UNKNOWN - assert edges["edge2"].state == NodeState.SKIPPED - assert edges["edge3"].state == NodeState.UNKNOWN - assert edges["edge4"].state == NodeState.SKIPPED - assert edges["edge5"].state == NodeState.SKIPPED - - def test_non_root_execution_type(self): - """Test that nodes with non-ROOT execution type are not treated as root nodes.""" - nodes = { - "root1": create_mock_node("root1", NodeExecutionType.ROOT), - "non_root": create_mock_node("non_root", NodeExecutionType.EXECUTABLE), - "child1": create_mock_node("child1", NodeExecutionType.EXECUTABLE), - "child2": create_mock_node("child2", NodeExecutionType.EXECUTABLE), - } - - edges = { - "edge1": Edge(id="edge1", tail="root1", head="child1", source_handle="source"), - "edge2": Edge(id="edge2", tail="non_root", head="child2", source_handle="source"), - } - - in_edges = {"child1": ["edge1"], "child2": ["edge2"]} - out_edges = {"root1": ["edge1"], "non_root": ["edge2"]} - - Graph._mark_inactive_root_branches(nodes, edges, in_edges, out_edges, "root1") - - assert nodes["root1"].state == NodeState.UNKNOWN - assert nodes["non_root"].state == NodeState.UNKNOWN # Not marked as skipped - assert nodes["child1"].state == NodeState.UNKNOWN - assert nodes["child2"].state == NodeState.UNKNOWN - assert edges["edge1"].state == NodeState.UNKNOWN - assert edges["edge2"].state == NodeState.UNKNOWN - - def test_empty_graph(self): - """Test handling of empty graph structures.""" - nodes = {} - edges = {} - in_edges = {} - out_edges = {} - - # Should not raise any errors - Graph._mark_inactive_root_branches(nodes, edges, in_edges, out_edges, "non_existent") - - def test_three_roots_mark_two_inactive(self): - """Test with three root nodes where two should be marked inactive.""" - nodes = { - "root1": create_mock_node("root1", NodeExecutionType.ROOT), - "root2": create_mock_node("root2", NodeExecutionType.ROOT), - "root3": create_mock_node("root3", NodeExecutionType.ROOT), - "child1": create_mock_node("child1", NodeExecutionType.EXECUTABLE), - "child2": create_mock_node("child2", NodeExecutionType.EXECUTABLE), - "child3": create_mock_node("child3", NodeExecutionType.EXECUTABLE), - } - - edges = { - "edge1": Edge(id="edge1", tail="root1", head="child1", source_handle="source"), - "edge2": Edge(id="edge2", tail="root2", head="child2", source_handle="source"), - "edge3": Edge(id="edge3", tail="root3", head="child3", source_handle="source"), - } - - in_edges = { - "child1": ["edge1"], - "child2": ["edge2"], - "child3": ["edge3"], - } - out_edges = { - "root1": ["edge1"], - "root2": ["edge2"], - "root3": ["edge3"], - } - - Graph._mark_inactive_root_branches(nodes, edges, in_edges, out_edges, "root2") - - assert nodes["root1"].state == NodeState.SKIPPED - assert nodes["root2"].state == NodeState.UNKNOWN # Active root - assert nodes["root3"].state == NodeState.SKIPPED - assert nodes["child1"].state == NodeState.SKIPPED - assert nodes["child2"].state == NodeState.UNKNOWN - assert nodes["child3"].state == NodeState.SKIPPED - assert edges["edge1"].state == NodeState.SKIPPED - assert edges["edge2"].state == NodeState.UNKNOWN - assert edges["edge3"].state == NodeState.SKIPPED - - def test_convergent_paths(self): - """Test convergent paths where multiple inactive branches lead to same node.""" - nodes = { - "root1": create_mock_node("root1", NodeExecutionType.ROOT), - "root2": create_mock_node("root2", NodeExecutionType.ROOT), - "root3": create_mock_node("root3", NodeExecutionType.ROOT), - "mid1": create_mock_node("mid1", NodeExecutionType.EXECUTABLE), - "mid2": create_mock_node("mid2", NodeExecutionType.EXECUTABLE), - "convergent": create_mock_node("convergent", NodeExecutionType.EXECUTABLE), - } - - edges = { - "edge1": Edge(id="edge1", tail="root1", head="mid1", source_handle="source"), - "edge2": Edge(id="edge2", tail="root2", head="mid2", source_handle="source"), - "edge3": Edge(id="edge3", tail="root3", head="convergent", source_handle="source"), - "edge4": Edge(id="edge4", tail="mid1", head="convergent", source_handle="source"), - "edge5": Edge(id="edge5", tail="mid2", head="convergent", source_handle="source"), - } - - in_edges = { - "mid1": ["edge1"], - "mid2": ["edge2"], - "convergent": ["edge3", "edge4", "edge5"], - } - out_edges = { - "root1": ["edge1"], - "root2": ["edge2"], - "root3": ["edge3"], - "mid1": ["edge4"], - "mid2": ["edge5"], - } - - Graph._mark_inactive_root_branches(nodes, edges, in_edges, out_edges, "root1") - - assert nodes["root1"].state == NodeState.UNKNOWN - assert nodes["root2"].state == NodeState.SKIPPED - assert nodes["root3"].state == NodeState.SKIPPED - assert nodes["mid1"].state == NodeState.UNKNOWN - assert nodes["mid2"].state == NodeState.SKIPPED - assert nodes["convergent"].state == NodeState.UNKNOWN # Not skipped due to active path from root1 - assert edges["edge1"].state == NodeState.UNKNOWN - assert edges["edge2"].state == NodeState.SKIPPED - assert edges["edge3"].state == NodeState.SKIPPED - assert edges["edge4"].state == NodeState.UNKNOWN - assert edges["edge5"].state == NodeState.SKIPPED diff --git a/api/tests/unit_tests/core/workflow/graph/test_graph_builder.py b/api/tests/unit_tests/core/workflow/graph/test_graph_builder.py deleted file mode 100644 index f3eaa1d686..0000000000 --- a/api/tests/unit_tests/core/workflow/graph/test_graph_builder.py +++ /dev/null @@ -1,59 +0,0 @@ -from unittest.mock import MagicMock - -import pytest - -from graphon.enums import BuiltinNodeTypes, NodeType -from graphon.graph import Graph -from graphon.nodes.base.node import Node - - -def _make_node(node_id: str, node_type: NodeType = BuiltinNodeTypes.START) -> Node: - node = MagicMock(spec=Node) - node.id = node_id - node.node_type = node_type - node.execution_type = None # attribute not used in builder path - return node - - -def test_graph_builder_creates_linear_graph(): - builder = Graph.new() - root = _make_node("root", BuiltinNodeTypes.START) - mid = _make_node("mid", BuiltinNodeTypes.LLM) - end = _make_node("end", BuiltinNodeTypes.END) - - graph = builder.add_root(root).add_node(mid).add_node(end).build() - - assert graph.root_node is root - assert graph.nodes == {"root": root, "mid": mid, "end": end} - assert len(graph.edges) == 2 - first_edge = next(iter(graph.edges.values())) - assert first_edge.tail == "root" - assert first_edge.head == "mid" - assert graph.out_edges["mid"] == [edge_id for edge_id, edge in graph.edges.items() if edge.tail == "mid"] - - -def test_graph_builder_supports_custom_predecessor(): - builder = Graph.new() - root = _make_node("root") - branch = _make_node("branch") - other = _make_node("other") - - graph = builder.add_root(root).add_node(branch).add_node(other, from_node_id="root").build() - - outgoing_root = graph.out_edges["root"] - assert len(outgoing_root) == 2 - edge_targets = {graph.edges[eid].head for eid in outgoing_root} - assert edge_targets == {"branch", "other"} - - -def test_graph_builder_validates_usage(): - builder = Graph.new() - node = _make_node("node") - - with pytest.raises(ValueError, match="Root node"): - builder.add_node(node) - - builder.add_root(node) - duplicate = _make_node("node") - with pytest.raises(ValueError, match="Duplicate"): - builder.add_node(duplicate) diff --git a/api/tests/unit_tests/core/workflow/graph/test_graph_skip_validation.py b/api/tests/unit_tests/core/workflow/graph/test_graph_skip_validation.py deleted file mode 100644 index 3620a20e56..0000000000 --- a/api/tests/unit_tests/core/workflow/graph/test_graph_skip_validation.py +++ /dev/null @@ -1,118 +0,0 @@ -from __future__ import annotations - -from typing import Any - -import pytest - -from core.workflow.node_factory import DifyNodeFactory -from core.workflow.system_variables import default_system_variables -from graphon.graph import Graph -from graphon.graph.validation import GraphValidationError -from graphon.nodes import BuiltinNodeTypes -from graphon.runtime import GraphRuntimeState, VariablePool -from tests.workflow_test_utils import build_test_graph_init_params - - -def _build_iteration_graph(node_id: str) -> dict[str, Any]: - return { - "nodes": [ - { - "id": node_id, - "data": { - "type": "iteration", - "title": "Iteration", - "iterator_selector": ["start", "items"], - "output_selector": [node_id, "output"], - }, - } - ], - "edges": [], - } - - -def _build_loop_graph(node_id: str) -> dict[str, Any]: - return { - "nodes": [ - { - "id": node_id, - "data": { - "type": "loop", - "title": "Loop", - "loop_count": 1, - "break_conditions": [], - "logical_operator": "and", - "loop_variables": [], - "outputs": {}, - }, - } - ], - "edges": [], - } - - -def _make_factory(graph_config: dict[str, Any]) -> DifyNodeFactory: - graph_init_params = build_test_graph_init_params( - workflow_id="workflow", - graph_config=graph_config, - tenant_id="tenant", - app_id="app", - user_id="user", - user_from="account", - invoke_from="debugger", - call_depth=0, - ) - graph_runtime_state = GraphRuntimeState( - variable_pool=VariablePool( - system_variables=default_system_variables(), - user_inputs={}, - environment_variables=[], - ), - start_at=0.0, - ) - return DifyNodeFactory(graph_init_params=graph_init_params, graph_runtime_state=graph_runtime_state) - - -def test_iteration_root_requires_skip_validation(): - node_id = "iteration-node" - graph_config = _build_iteration_graph(node_id) - node_factory = _make_factory(graph_config) - - with pytest.raises(GraphValidationError): - Graph.init( - graph_config=graph_config, - node_factory=node_factory, - root_node_id=node_id, - ) - - graph = Graph.init( - graph_config=graph_config, - node_factory=node_factory, - root_node_id=node_id, - skip_validation=True, - ) - - assert graph.root_node.id == node_id - assert graph.root_node.node_type == BuiltinNodeTypes.ITERATION - - -def test_loop_root_requires_skip_validation(): - node_id = "loop-node" - graph_config = _build_loop_graph(node_id) - node_factory = _make_factory(graph_config) - - with pytest.raises(GraphValidationError): - Graph.init( - graph_config=graph_config, - node_factory=node_factory, - root_node_id=node_id, - ) - - graph = Graph.init( - graph_config=graph_config, - node_factory=node_factory, - root_node_id=node_id, - skip_validation=True, - ) - - assert graph.root_node.id == node_id - assert graph.root_node.node_type == BuiltinNodeTypes.LOOP diff --git a/api/tests/unit_tests/core/workflow/graph/test_graph_validation.py b/api/tests/unit_tests/core/workflow/graph/test_graph_validation.py deleted file mode 100644 index bfd0b48392..0000000000 --- a/api/tests/unit_tests/core/workflow/graph/test_graph_validation.py +++ /dev/null @@ -1,219 +0,0 @@ -from __future__ import annotations - -import time -from collections.abc import Mapping -from dataclasses import dataclass - -import pytest - -from core.workflow.system_variables import build_system_variables -from graphon.entities import GraphInitParams -from graphon.entities.base_node_data import BaseNodeData -from graphon.enums import BuiltinNodeTypes, ErrorStrategy, NodeExecutionType, NodeType -from graphon.graph import Graph -from graphon.graph.validation import GraphValidationError -from graphon.nodes.base.node import Node -from graphon.runtime import GraphRuntimeState, VariablePool -from tests.workflow_test_utils import build_test_graph_init_params - - -class _TestNodeData(BaseNodeData): - type: NodeType | None = None - execution_type: NodeExecutionType | str | None = None - - -class _TestNode(Node[_TestNodeData]): - node_type = BuiltinNodeTypes.ANSWER - execution_type = NodeExecutionType.EXECUTABLE - - @classmethod - def version(cls) -> str: - return "1" - - def __init__( - self, - *, - id: str, - config: Mapping[str, object], - graph_init_params: GraphInitParams, - graph_runtime_state: GraphRuntimeState, - ) -> None: - super().__init__( - id=id, - config=config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - node_type_value = self.data.get("type") - if isinstance(node_type_value, str): - self.node_type = node_type_value - - def _run(self): - raise NotImplementedError - - def post_init(self) -> None: - super().post_init() - self._maybe_override_execution_type() - self.data = dict(self.node_data.model_dump()) - - def _maybe_override_execution_type(self) -> None: - execution_type_value = self.node_data.execution_type - if execution_type_value is None: - return - if isinstance(execution_type_value, NodeExecutionType): - self.execution_type = execution_type_value - else: - self.execution_type = NodeExecutionType(execution_type_value) - - -@dataclass(slots=True) -class _SimpleNodeFactory: - graph_init_params: GraphInitParams - graph_runtime_state: GraphRuntimeState - - def create_node(self, node_config: Mapping[str, object]) -> _TestNode: - node_id = str(node_config["id"]) - node = _TestNode( - id=node_id, - config=node_config, - graph_init_params=self.graph_init_params, - graph_runtime_state=self.graph_runtime_state, - ) - return node - - -@pytest.fixture -def graph_init_dependencies() -> tuple[_SimpleNodeFactory, dict[str, object]]: - graph_config: dict[str, object] = {"edges": [], "nodes": []} - init_params = build_test_graph_init_params( - workflow_id="workflow", - graph_config=graph_config, - tenant_id="tenant", - app_id="app", - user_id="user", - user_from="account", - invoke_from="service-api", - call_depth=0, - ) - variable_pool = VariablePool(system_variables=build_system_variables(user_id="user", files=[]), user_inputs={}) - runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - factory = _SimpleNodeFactory(graph_init_params=init_params, graph_runtime_state=runtime_state) - return factory, graph_config - - -def test_graph_initialization_runs_default_validators( - graph_init_dependencies: tuple[_SimpleNodeFactory, dict[str, object]], -): - node_factory, graph_config = graph_init_dependencies - graph_config["nodes"] = [ - { - "id": "start", - "data": {"type": BuiltinNodeTypes.START, "title": "Start", "execution_type": NodeExecutionType.ROOT}, - }, - {"id": "answer", "data": {"type": BuiltinNodeTypes.ANSWER, "title": "Answer"}}, - ] - graph_config["edges"] = [ - {"source": "start", "target": "answer", "sourceHandle": "success"}, - ] - - graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id="start") - - assert graph.root_node.id == "start" - assert "answer" in graph.nodes - - -def test_graph_validation_fails_for_unknown_edge_targets( - graph_init_dependencies: tuple[_SimpleNodeFactory, dict[str, object]], -) -> None: - node_factory, graph_config = graph_init_dependencies - graph_config["nodes"] = [ - { - "id": "start", - "data": {"type": BuiltinNodeTypes.START, "title": "Start", "execution_type": NodeExecutionType.ROOT}, - }, - ] - graph_config["edges"] = [ - {"source": "start", "target": "missing", "sourceHandle": "success"}, - ] - - with pytest.raises(GraphValidationError) as exc: - Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id="start") - - assert any(issue.code == "MISSING_NODE" for issue in exc.value.issues) - - -def test_graph_promotes_fail_branch_nodes_to_branch_execution_type( - graph_init_dependencies: tuple[_SimpleNodeFactory, dict[str, object]], -) -> None: - node_factory, graph_config = graph_init_dependencies - graph_config["nodes"] = [ - { - "id": "start", - "data": {"type": BuiltinNodeTypes.START, "title": "Start", "execution_type": NodeExecutionType.ROOT}, - }, - { - "id": "branch", - "data": { - "type": BuiltinNodeTypes.IF_ELSE, - "title": "Branch", - "error_strategy": ErrorStrategy.FAIL_BRANCH, - }, - }, - ] - graph_config["edges"] = [ - {"source": "start", "target": "branch", "sourceHandle": "success"}, - ] - - graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id="start") - - assert graph.nodes["branch"].execution_type == NodeExecutionType.BRANCH - - -def test_graph_init_ignores_custom_note_nodes_before_node_data_validation( - graph_init_dependencies: tuple[_SimpleNodeFactory, dict[str, object]], -) -> None: - node_factory, graph_config = graph_init_dependencies - graph_config["nodes"] = [ - { - "id": "start", - "data": {"type": BuiltinNodeTypes.START, "title": "Start", "execution_type": NodeExecutionType.ROOT}, - }, - {"id": "answer", "data": {"type": BuiltinNodeTypes.ANSWER, "title": "Answer"}}, - { - "id": "note", - "type": "custom-note", - "data": { - "type": "", - "title": "", - "desc": "", - "text": "{}", - "theme": "blue", - }, - }, - ] - graph_config["edges"] = [ - {"source": "start", "target": "answer", "sourceHandle": "success"}, - ] - - graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id="start") - - assert graph.root_node.id == "start" - assert "answer" in graph.nodes - assert "note" not in graph.nodes - - -def test_graph_init_fails_for_unknown_root_node_id( - graph_init_dependencies: tuple[_SimpleNodeFactory, dict[str, object]], -) -> None: - node_factory, graph_config = graph_init_dependencies - graph_config["nodes"] = [ - { - "id": "start", - "data": {"type": BuiltinNodeTypes.START, "title": "Start", "execution_type": NodeExecutionType.ROOT}, - }, - ] - graph_config["edges"] = [] - - with pytest.raises(ValueError, match="Root node id missing not found in the graph"): - Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id="missing") diff --git a/api/tests/unit_tests/core/workflow/graph_engine/README.md b/api/tests/unit_tests/core/workflow/graph_engine/README.md index 960fef7d43..dd419f0810 100644 --- a/api/tests/unit_tests/core/workflow/graph_engine/README.md +++ b/api/tests/unit_tests/core/workflow/graph_engine/README.md @@ -1,441 +1,30 @@ -# Graph Engine Testing Framework +# Workflow Graph Engine Smoke Tests -## Overview +This directory now keeps only a small Dify-owned smoke layer around the external +`graphon` package. -This directory contains a comprehensive testing framework for the Graph Engine, including: +Retained coverage focuses on: -1. **TableTestRunner** - Advanced table-driven test framework for workflow testing -1. **Auto-Mock System** - Powerful mocking framework for testing without external dependencies +1. Dify workflow layers: + - `layers/test_llm_quota.py` + - `layers/test_observability.py` +2. Human-input resume integration: + - `test_parallel_human_input_join_resume.py` +3. One mocked tool/chatflow smoke path: + - `test_tool_in_chatflow.py` -## TableTestRunner Framework +The helper modules below remain only because the retained smoke tests use them: -The TableTestRunner (`test_table_runner.py`) provides a robust table-driven testing framework for GraphEngine workflows. +1. `test_mock_config.py` +2. `test_mock_factory.py` +3. `test_mock_nodes.py` +4. `test_table_runner.py` -### Features - -- **Table-driven testing** - Define test cases as structured data -- **Parallel test execution** - Run tests concurrently for faster execution -- **Property-based testing** - Integration with Hypothesis for fuzzing -- **Event sequence validation** - Verify correct event ordering -- **Mock configuration** - Seamless integration with the auto-mock system -- **Performance metrics** - Track execution times and bottlenecks -- **Detailed error reporting** - Comprehensive failure diagnostics - -### Basic Usage - -```python -from test_table_runner import TableTestRunner, WorkflowTestCase - -# Create test runner -runner = TableTestRunner() - -# Define test case -test_case = WorkflowTestCase( - fixture_path="simple_workflow", - inputs={"query": "Hello"}, - expected_outputs={"result": "World"}, - description="Basic workflow test", -) - -# Run single test -result = runner.run_test_case(test_case) -assert result.success -``` - -### Advanced Features - -#### Parallel Execution - -```python -runner = TableTestRunner(max_workers=8) - -test_cases = [ - WorkflowTestCase(...), - WorkflowTestCase(...), - # ... more test cases -] - -# Run tests in parallel -suite_result = runner.run_table_tests( - test_cases, - parallel=True, - fail_fast=False -) - -print(f"Success rate: {suite_result.success_rate:.1f}%") -``` - -#### Event Sequence Validation - -```python -from graphon.graph_events import ( - GraphRunStartedEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, -) - -test_case = WorkflowTestCase( - fixture_path="workflow", - inputs={}, - expected_outputs={}, - expected_event_sequence=[ - GraphRunStartedEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, - ] -) -``` - -### Test Suite Reports - -```python -# Run test suite -suite_result = runner.run_table_tests(test_cases) - -# Generate detailed report -report = runner.generate_report(suite_result) -print(report) - -# Access specific results -failed_results = suite_result.get_failed_results() -for result in failed_results: - print(f"Failed: {result.test_case.description}") - print(f" Error: {result.error}") -``` - -### Performance Testing - -```python -# Enable logging for performance insights -runner = TableTestRunner( - enable_logging=True, - log_level="DEBUG" -) - -# Run tests and analyze performance -suite_result = runner.run_table_tests(test_cases) - -# Get slowest tests -sorted_results = sorted( - suite_result.results, - key=lambda r: r.execution_time, - reverse=True -) - -print("Slowest tests:") -for result in sorted_results[:5]: - print(f" {result.test_case.description}: {result.execution_time:.2f}s") -``` - -## Integration: TableTestRunner + Auto-Mock System - -The TableTestRunner seamlessly integrates with the auto-mock system for comprehensive workflow testing: - -```python -from test_table_runner import TableTestRunner, WorkflowTestCase -from test_mock_config import MockConfigBuilder - -# Configure mocks -mock_config = (MockConfigBuilder() - .with_llm_response("Mocked LLM response") - .with_tool_response({"result": "mocked"}) - .with_delays(True) # Simulate realistic delays - .build()) - -# Create test case with mocking -test_case = WorkflowTestCase( - fixture_path="complex_workflow", - inputs={"query": "test"}, - expected_outputs={"answer": "Mocked LLM response"}, - use_auto_mock=True, # Enable auto-mocking - mock_config=mock_config, - description="Test with mocked services", -) - -# Run test -runner = TableTestRunner() -result = runner.run_test_case(test_case) -``` - -## Auto-Mock System - -The auto-mock system provides a powerful framework for testing workflows that contain nodes requiring third-party services (LLM, APIs, tools, etc.) without making actual external calls. This enables: - -- **Fast test execution** - No network latency or API rate limits -- **Deterministic results** - Consistent outputs for reliable testing -- **Cost savings** - No API usage charges during testing -- **Offline testing** - Tests can run without internet connectivity -- **Error simulation** - Test error handling without triggering real failures - -## Architecture - -The auto-mock system consists of three main components: - -### 1. MockNodeFactory (`test_mock_factory.py`) - -- Extends `DifyNodeFactory` to intercept node creation -- Automatically detects nodes requiring third-party services -- Returns mock node implementations instead of real ones -- Supports registration of custom mock implementations - -### 2. Mock Node Implementations (`test_mock_nodes.py`) - -- `MockLLMNode` - Mocks LLM API calls (OpenAI, Anthropic, etc.) -- `MockAgentNode` - Mocks agent execution -- `MockToolNode` - Mocks tool invocations -- `MockKnowledgeRetrievalNode` - Mocks knowledge base queries -- `MockHttpRequestNode` - Mocks HTTP requests -- `MockParameterExtractorNode` - Mocks parameter extraction -- `MockDocumentExtractorNode` - Mocks document processing -- `MockQuestionClassifierNode` - Mocks question classification - -### 3. Mock Configuration (`test_mock_config.py`) - -- `MockConfig` - Global configuration for mock behavior -- `NodeMockConfig` - Node-specific mock configuration -- `MockConfigBuilder` - Fluent interface for building configurations - -## Usage - -### Basic Example - -```python -from test_graph_engine import TableTestRunner, WorkflowTestCase -from test_mock_config import MockConfigBuilder - -# Create test runner -runner = TableTestRunner() - -# Configure mock responses -mock_config = (MockConfigBuilder() - .with_llm_response("Mocked LLM response") - .build()) - -# Define test case -test_case = WorkflowTestCase( - fixture_path="llm-simple", - inputs={"query": "Hello"}, - expected_outputs={"answer": "Mocked LLM response"}, - use_auto_mock=True, # Enable auto-mocking - mock_config=mock_config, -) - -# Run test -result = runner.run_test_case(test_case) -assert result.success -``` - -### Custom Node Outputs - -```python -# Configure specific outputs for individual nodes -mock_config = MockConfig() -mock_config.set_node_outputs("llm_node_123", { - "text": "Custom response for this specific node", - "usage": {"total_tokens": 50}, - "finish_reason": "stop", -}) -``` - -### Error Simulation - -```python -# Simulate node failures for error handling tests -mock_config = MockConfig() -mock_config.set_node_error("http_node", "Connection timeout") -``` - -### Simulated Delays - -```python -# Add realistic execution delays -from test_mock_config import NodeMockConfig - -node_config = NodeMockConfig( - node_id="llm_node", - outputs={"text": "Response"}, - delay=1.5, # 1.5 second delay -) -mock_config.set_node_config("llm_node", node_config) -``` - -### Custom Handlers - -```python -# Define custom logic for mock outputs -def custom_handler(node): - # Access node state and return dynamic outputs - return { - "text": f"Processed: {node.graph_runtime_state.variable_pool.get('query')}", - } - -node_config = NodeMockConfig( - node_id="llm_node", - custom_handler=custom_handler, -) -``` - -## Node Types Automatically Mocked - -The following node types are automatically mocked when `use_auto_mock=True`: - -- `LLM` - Language model nodes -- `AGENT` - Agent execution nodes -- `TOOL` - Tool invocation nodes -- `KNOWLEDGE_RETRIEVAL` - Knowledge base query nodes -- `HTTP_REQUEST` - HTTP request nodes -- `PARAMETER_EXTRACTOR` - Parameter extraction nodes -- `DOCUMENT_EXTRACTOR` - Document processing nodes -- `QUESTION_CLASSIFIER` - Question classification nodes - -## Advanced Features - -### Registering Custom Mock Implementations - -```python -from test_mock_factory import MockNodeFactory - -# Create custom mock implementation -class CustomMockNode(BaseNode): - def _run(self): - # Custom mock logic - pass - -# Register for a specific node type -factory = MockNodeFactory(...) -factory.register_mock_node_type(NodeType.CUSTOM, CustomMockNode) -``` - -### Default Configurations by Node Type - -```python -# Set defaults for all nodes of a specific type -mock_config.set_default_config(NodeType.LLM, { - "temperature": 0.7, - "max_tokens": 100, -}) -``` - -### MockConfigBuilder Fluent API - -```python -config = (MockConfigBuilder() - .with_llm_response("LLM response") - .with_agent_response("Agent response") - .with_tool_response({"result": "data"}) - .with_retrieval_response("Retrieved content") - .with_http_response({"status_code": 200, "body": "{}"}) - .with_node_output("node_id", {"output": "value"}) - .with_node_error("error_node", "Error message") - .with_delays(True) - .build()) -``` - -## Testing Workflows - -### 1. Create Workflow Fixture - -Create a YAML fixture file in `api/tests/fixtures/workflow/` directory defining your workflow graph. - -### 2. Configure Mocks - -Set up mock configurations for nodes that need third-party services. - -### 3. Define Test Cases - -Create `WorkflowTestCase` instances with inputs, expected outputs, and mock config. - -### 4. Run Tests - -Use `TableTestRunner` to execute test cases and validate results. - -## Best Practices - -1. **Use descriptive mock responses** - Make it clear in outputs that they are mocked -1. **Test both success and failure paths** - Use error simulation to test error handling -1. **Keep mock configs close to tests** - Define mocks in the same test file for clarity -1. **Use custom handlers sparingly** - Only when dynamic behavior is needed -1. **Document mock behavior** - Comment why specific mock values are chosen -1. **Validate mock accuracy** - Ensure mocks reflect real service behavior - -## Examples - -See `test_mock_example.py` for comprehensive examples including: - -- Basic LLM workflow testing -- Custom node outputs -- HTTP and tool workflow testing -- Error simulation -- Performance testing with delays - -## Running Tests - -### TableTestRunner Tests +Examples: ```bash -# Run graph engine tests (includes property-based tests) -uv run pytest api/tests/unit_tests/graphon/graph_engine/test_graph_engine.py - -# Run with specific test patterns -uv run pytest api/tests/unit_tests/graphon/graph_engine/test_graph_engine.py -k "test_echo" - -# Run with verbose output -uv run pytest api/tests/unit_tests/graphon/graph_engine/test_graph_engine.py -v +uv run --project api --dev pytest api/tests/unit_tests/core/workflow/graph_engine/layers/test_llm_quota.py +uv run --project api --dev pytest api/tests/unit_tests/core/workflow/graph_engine/layers/test_observability.py +uv run --project api --dev pytest api/tests/unit_tests/core/workflow/graph_engine/test_parallel_human_input_join_resume.py +uv run --project api --dev pytest api/tests/unit_tests/core/workflow/graph_engine/test_tool_in_chatflow.py ``` - -### Mock System Tests - -```bash -# Run auto-mock system tests -uv run pytest api/tests/unit_tests/graphon/graph_engine/test_auto_mock_system.py - -# Run examples -uv run python api/tests/unit_tests/graphon/graph_engine/test_mock_example.py - -# Run simple validation -uv run python api/tests/unit_tests/graphon/graph_engine/test_mock_simple.py -``` - -### All Tests - -```bash -# Run all graph engine tests -uv run pytest api/tests/unit_tests/graphon/graph_engine/ - -# Run with coverage -uv run pytest api/tests/unit_tests/graphon/graph_engine/ --cov=graphon.graph_engine - -# Run in parallel -uv run pytest api/tests/unit_tests/graphon/graph_engine/ -n auto -``` - -## Troubleshooting - -### Issue: Mock not being applied - -- Ensure `use_auto_mock=True` in `WorkflowTestCase` -- Verify node ID matches in mock config -- Check that node type is in the auto-mock list - -### Issue: Unexpected outputs - -- Debug by printing `result.actual_outputs` -- Check if custom handler is overriding expected outputs -- Verify mock config is properly built - -### Issue: Import errors - -- Ensure all mock modules are in the correct path -- Check that required dependencies are installed - -## Future Enhancements - -Potential improvements to the auto-mock system: - -1. **Recording and playback** - Record real API responses for replay in tests -1. **Mock templates** - Pre-defined mock configurations for common scenarios -1. **Async support** - Better support for async node execution -1. **Mock validation** - Validate mock outputs against node schemas -1. **Performance profiling** - Built-in performance metrics for mocked workflows diff --git a/api/tests/unit_tests/core/workflow/graph_engine/command_channels/test_redis_channel.py b/api/tests/unit_tests/core/workflow/graph_engine/command_channels/test_redis_channel.py deleted file mode 100644 index 795362b158..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/command_channels/test_redis_channel.py +++ /dev/null @@ -1,315 +0,0 @@ -"""Tests for Redis command channel implementation.""" - -import json -from unittest.mock import MagicMock - -from graphon.graph_engine.command_channels.redis_channel import RedisChannel -from graphon.graph_engine.entities.commands import ( - AbortCommand, - CommandType, - GraphEngineCommand, - UpdateVariablesCommand, - VariableUpdate, -) -from graphon.variables import IntegerVariable, StringVariable - - -class TestRedisChannel: - """Test suite for RedisChannel functionality.""" - - def test_init(self): - """Test RedisChannel initialization.""" - mock_redis = MagicMock() - channel_key = "test:channel:key" - ttl = 7200 - - channel = RedisChannel(mock_redis, channel_key, ttl) - - assert channel._redis == mock_redis - assert channel._key == channel_key - assert channel._command_ttl == ttl - - def test_init_default_ttl(self): - """Test RedisChannel initialization with default TTL.""" - mock_redis = MagicMock() - channel_key = "test:channel:key" - - channel = RedisChannel(mock_redis, channel_key) - - assert channel._command_ttl == 3600 # Default TTL - - def test_send_command(self): - """Test sending a command to Redis.""" - mock_redis = MagicMock() - mock_pipe = MagicMock() - context = MagicMock() - context.__enter__.return_value = mock_pipe - context.__exit__.return_value = None - mock_redis.pipeline.return_value = context - - channel = RedisChannel(mock_redis, "test:key", 3600) - - pending_key = "test:key:pending" - - # Create a test command - command = GraphEngineCommand(command_type=CommandType.ABORT) - - # Send the command - channel.send_command(command) - - # Verify pipeline was used - mock_redis.pipeline.assert_called_once() - - # Verify rpush was called with correct data - expected_json = json.dumps(command.model_dump()) - mock_pipe.rpush.assert_called_once_with("test:key", expected_json) - - # Verify expire was set - mock_pipe.expire.assert_called_once_with("test:key", 3600) - mock_pipe.set.assert_called_once_with(pending_key, "1", ex=3600) - - # Verify execute was called - mock_pipe.execute.assert_called_once() - - def test_fetch_commands_empty(self): - """Test fetching commands when Redis list is empty.""" - mock_redis = MagicMock() - pending_pipe = MagicMock() - fetch_pipe = MagicMock() - pending_context = MagicMock() - fetch_context = MagicMock() - pending_context.__enter__.return_value = pending_pipe - pending_context.__exit__.return_value = None - fetch_context.__enter__.return_value = fetch_pipe - fetch_context.__exit__.return_value = None - mock_redis.pipeline.side_effect = [pending_context] - - # No pending marker - pending_pipe.execute.return_value = [None, 0] - mock_redis.llen.return_value = 0 - - channel = RedisChannel(mock_redis, "test:key") - commands = channel.fetch_commands() - - assert commands == [] - mock_redis.pipeline.assert_called_once() - fetch_pipe.lrange.assert_not_called() - fetch_pipe.delete.assert_not_called() - - def test_fetch_commands_with_abort_command(self): - """Test fetching abort commands from Redis.""" - mock_redis = MagicMock() - pending_pipe = MagicMock() - fetch_pipe = MagicMock() - pending_context = MagicMock() - fetch_context = MagicMock() - pending_context.__enter__.return_value = pending_pipe - pending_context.__exit__.return_value = None - fetch_context.__enter__.return_value = fetch_pipe - fetch_context.__exit__.return_value = None - mock_redis.pipeline.side_effect = [pending_context, fetch_context] - - # Create abort command data - abort_command = AbortCommand() - command_json = json.dumps(abort_command.model_dump()) - - # Simulate Redis returning one command - pending_pipe.execute.return_value = [b"1", 1] - fetch_pipe.execute.return_value = [[command_json.encode()], 1] - - channel = RedisChannel(mock_redis, "test:key") - commands = channel.fetch_commands() - - assert len(commands) == 1 - assert isinstance(commands[0], AbortCommand) - assert commands[0].command_type == CommandType.ABORT - - def test_fetch_commands_multiple(self): - """Test fetching multiple commands from Redis.""" - mock_redis = MagicMock() - pending_pipe = MagicMock() - fetch_pipe = MagicMock() - pending_context = MagicMock() - fetch_context = MagicMock() - pending_context.__enter__.return_value = pending_pipe - pending_context.__exit__.return_value = None - fetch_context.__enter__.return_value = fetch_pipe - fetch_context.__exit__.return_value = None - mock_redis.pipeline.side_effect = [pending_context, fetch_context] - - # Create multiple commands - command1 = GraphEngineCommand(command_type=CommandType.ABORT) - command2 = AbortCommand() - - command1_json = json.dumps(command1.model_dump()) - command2_json = json.dumps(command2.model_dump()) - - # Simulate Redis returning multiple commands - pending_pipe.execute.return_value = [b"1", 1] - fetch_pipe.execute.return_value = [[command1_json.encode(), command2_json.encode()], 1] - - channel = RedisChannel(mock_redis, "test:key") - commands = channel.fetch_commands() - - assert len(commands) == 2 - assert commands[0].command_type == CommandType.ABORT - assert isinstance(commands[1], AbortCommand) - - def test_fetch_commands_with_update_variables_command(self): - """Test fetching update variables command from Redis.""" - mock_redis = MagicMock() - pending_pipe = MagicMock() - fetch_pipe = MagicMock() - pending_context = MagicMock() - fetch_context = MagicMock() - pending_context.__enter__.return_value = pending_pipe - pending_context.__exit__.return_value = None - fetch_context.__enter__.return_value = fetch_pipe - fetch_context.__exit__.return_value = None - mock_redis.pipeline.side_effect = [pending_context, fetch_context] - - update_command = UpdateVariablesCommand( - updates=[ - VariableUpdate( - value=StringVariable(name="foo", value="bar", selector=["node1", "foo"]), - ), - VariableUpdate( - value=IntegerVariable(name="baz", value=123, selector=["node2", "baz"]), - ), - ] - ) - command_json = json.dumps(update_command.model_dump()) - - pending_pipe.execute.return_value = [b"1", 1] - fetch_pipe.execute.return_value = [[command_json.encode()], 1] - - channel = RedisChannel(mock_redis, "test:key") - commands = channel.fetch_commands() - - assert len(commands) == 1 - assert isinstance(commands[0], UpdateVariablesCommand) - assert isinstance(commands[0].updates[0].value, StringVariable) - assert list(commands[0].updates[0].value.selector) == ["node1", "foo"] - assert commands[0].updates[0].value.value == "bar" - - def test_fetch_commands_skips_invalid_json(self): - """Test that invalid JSON commands are skipped.""" - mock_redis = MagicMock() - pending_pipe = MagicMock() - fetch_pipe = MagicMock() - pending_context = MagicMock() - fetch_context = MagicMock() - pending_context.__enter__.return_value = pending_pipe - pending_context.__exit__.return_value = None - fetch_context.__enter__.return_value = fetch_pipe - fetch_context.__exit__.return_value = None - mock_redis.pipeline.side_effect = [pending_context, fetch_context] - - # Mix valid and invalid JSON - valid_command = AbortCommand() - valid_json = json.dumps(valid_command.model_dump()) - invalid_json = b"invalid json {" - - # Simulate Redis returning mixed valid/invalid commands - pending_pipe.execute.return_value = [b"1", 1] - fetch_pipe.execute.return_value = [[invalid_json, valid_json.encode()], 1] - - channel = RedisChannel(mock_redis, "test:key") - commands = channel.fetch_commands() - - # Should only return the valid command - assert len(commands) == 1 - assert isinstance(commands[0], AbortCommand) - - def test_deserialize_command_abort(self): - """Test deserializing an abort command.""" - channel = RedisChannel(MagicMock(), "test:key") - - abort_data = {"command_type": CommandType.ABORT} - command = channel._deserialize_command(abort_data) - - assert isinstance(command, AbortCommand) - assert command.command_type == CommandType.ABORT - - def test_deserialize_command_generic(self): - """Test deserializing a generic command.""" - channel = RedisChannel(MagicMock(), "test:key") - - # For now, only ABORT is supported, but test generic handling - generic_data = {"command_type": CommandType.ABORT} - command = channel._deserialize_command(generic_data) - - assert command is not None - assert command.command_type == CommandType.ABORT - - def test_deserialize_command_invalid(self): - """Test deserializing invalid command data.""" - channel = RedisChannel(MagicMock(), "test:key") - - # Missing command_type - invalid_data = {"some_field": "value"} - command = channel._deserialize_command(invalid_data) - - assert command is None - - def test_deserialize_command_invalid_type(self): - """Test deserializing command with invalid type.""" - channel = RedisChannel(MagicMock(), "test:key") - - # Invalid command type - invalid_data = {"command_type": "INVALID_TYPE"} - command = channel._deserialize_command(invalid_data) - - assert command is None - - def test_atomic_fetch_and_clear(self): - """Test that fetch_commands atomically fetches and clears the list.""" - mock_redis = MagicMock() - pending_pipe = MagicMock() - fetch_pipe = MagicMock() - pending_context = MagicMock() - fetch_context = MagicMock() - pending_context.__enter__.return_value = pending_pipe - pending_context.__exit__.return_value = None - fetch_context.__enter__.return_value = fetch_pipe - fetch_context.__exit__.return_value = None - mock_redis.pipeline.side_effect = [pending_context, fetch_context] - - command = AbortCommand() - command_json = json.dumps(command.model_dump()) - pending_pipe.execute.return_value = [b"1", 1] - fetch_pipe.execute.return_value = [[command_json.encode()], 1] - - channel = RedisChannel(mock_redis, "test:key") - - # First fetch should return the command - commands = channel.fetch_commands() - assert len(commands) == 1 - - # Verify both lrange and delete were called in the pipeline - assert fetch_pipe.lrange.call_count == 1 - assert fetch_pipe.delete.call_count == 1 - fetch_pipe.lrange.assert_called_with("test:key", 0, -1) - fetch_pipe.delete.assert_called_with("test:key") - - def test_fetch_commands_without_pending_marker_returns_empty(self): - """Ensure we avoid unnecessary list reads when pending flag is missing.""" - mock_redis = MagicMock() - pending_pipe = MagicMock() - fetch_pipe = MagicMock() - pending_context = MagicMock() - fetch_context = MagicMock() - pending_context.__enter__.return_value = pending_pipe - pending_context.__exit__.return_value = None - fetch_context.__enter__.return_value = fetch_pipe - fetch_context.__exit__.return_value = None - mock_redis.pipeline.side_effect = [pending_context, fetch_context] - - # Pending flag absent - pending_pipe.execute.return_value = [None, 0] - channel = RedisChannel(mock_redis, "test:key") - commands = channel.fetch_commands() - - assert commands == [] - mock_redis.llen.assert_not_called() - assert mock_redis.pipeline.call_count == 1 diff --git a/api/tests/unit_tests/core/workflow/graph_engine/event_management/test_event_handlers.py b/api/tests/unit_tests/core/workflow/graph_engine/event_management/test_event_handlers.py deleted file mode 100644 index cacbe9ba4e..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/event_management/test_event_handlers.py +++ /dev/null @@ -1,119 +0,0 @@ -"""Tests for graph engine event handlers.""" - -from __future__ import annotations - -from graphon.entities.base_node_data import RetryConfig -from graphon.enums import BuiltinNodeTypes, NodeExecutionType, NodeState, WorkflowNodeExecutionStatus -from graphon.graph import Graph -from graphon.graph_engine.domain.graph_execution import GraphExecution -from graphon.graph_engine.event_management.event_handlers import EventHandler -from graphon.graph_engine.event_management.event_manager import EventManager -from graphon.graph_engine.graph_state_manager import GraphStateManager -from graphon.graph_engine.ready_queue.in_memory import InMemoryReadyQueue -from graphon.graph_engine.response_coordinator.coordinator import ResponseStreamCoordinator -from graphon.graph_events import NodeRunRetryEvent, NodeRunStartedEvent -from graphon.node_events import NodeRunResult -from graphon.runtime import GraphRuntimeState, VariablePool -from libs.datetime_utils import naive_utc_now - - -class _StubEdgeProcessor: - """Minimal edge processor stub for tests.""" - - -class _StubErrorHandler: - """Minimal error handler stub for tests.""" - - -class _StubNode: - """Simple node stub exposing the attributes needed by the state manager.""" - - def __init__(self, node_id: str) -> None: - self.id = node_id - self.state = NodeState.UNKNOWN - self.title = "Stub Node" - self.execution_type = NodeExecutionType.EXECUTABLE - self.error_strategy = None - self.retry_config = RetryConfig() - self.retry = False - - -def _build_event_handler(node_id: str) -> tuple[EventHandler, EventManager, GraphExecution]: - """Construct an EventHandler with in-memory dependencies for testing.""" - - node = _StubNode(node_id) - graph = Graph(nodes={node_id: node}, edges={}, in_edges={}, out_edges={}, root_node=node) - - variable_pool = VariablePool() - runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=0.0) - graph_execution = GraphExecution(workflow_id="test-workflow") - - event_manager = EventManager() - state_manager = GraphStateManager(graph=graph, ready_queue=InMemoryReadyQueue()) - response_coordinator = ResponseStreamCoordinator(variable_pool=variable_pool, graph=graph) - - handler = EventHandler( - graph=graph, - graph_runtime_state=runtime_state, - graph_execution=graph_execution, - response_coordinator=response_coordinator, - event_collector=event_manager, - edge_processor=_StubEdgeProcessor(), - state_manager=state_manager, - error_handler=_StubErrorHandler(), - ) - - return handler, event_manager, graph_execution - - -def test_retry_does_not_emit_additional_start_event() -> None: - """Ensure retry attempts do not produce duplicate start events.""" - - node_id = "test-node" - handler, event_manager, graph_execution = _build_event_handler(node_id) - - execution_id = "exec-1" - node_type = BuiltinNodeTypes.CODE - start_time = naive_utc_now() - - start_event = NodeRunStartedEvent( - id=execution_id, - node_id=node_id, - node_type=node_type, - node_title="Stub Node", - start_at=start_time, - ) - handler.dispatch(start_event) - - retry_event = NodeRunRetryEvent( - id=execution_id, - node_id=node_id, - node_type=node_type, - node_title="Stub Node", - start_at=start_time, - error="boom", - retry_index=1, - node_run_result=NodeRunResult( - status=WorkflowNodeExecutionStatus.FAILED, - error="boom", - error_type="TestError", - ), - ) - handler.dispatch(retry_event) - - # Simulate the node starting execution again after retry - second_start_event = NodeRunStartedEvent( - id=execution_id, - node_id=node_id, - node_type=node_type, - node_title="Stub Node", - start_at=start_time, - ) - handler.dispatch(second_start_event) - - collected_types = [type(event) for event in event_manager._events] # type: ignore[attr-defined] - - assert collected_types == [NodeRunStartedEvent, NodeRunRetryEvent] - - node_execution = graph_execution.get_or_create_node_execution(node_id) - assert node_execution.retry_count == 1 diff --git a/api/tests/unit_tests/core/workflow/graph_engine/event_management/test_event_manager.py b/api/tests/unit_tests/core/workflow/graph_engine/event_management/test_event_manager.py deleted file mode 100644 index dc0998caf1..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/event_management/test_event_manager.py +++ /dev/null @@ -1,39 +0,0 @@ -"""Tests for the EventManager.""" - -from __future__ import annotations - -import logging - -from graphon.graph_engine.event_management.event_manager import EventManager -from graphon.graph_engine.layers.base import GraphEngineLayer -from graphon.graph_events import GraphEngineEvent - - -class _FaultyLayer(GraphEngineLayer): - """Layer that raises from on_event to test error handling.""" - - def on_graph_start(self) -> None: # pragma: no cover - not used in tests - pass - - def on_event(self, event: GraphEngineEvent) -> None: - raise RuntimeError("boom") - - def on_graph_end(self, error: Exception | None) -> None: # pragma: no cover - not used in tests - pass - - -def test_event_manager_logs_layer_errors(caplog) -> None: - """Ensure errors raised by layers are logged when collecting events.""" - - event_manager = EventManager() - event_manager.set_layers([_FaultyLayer()]) - - with caplog.at_level(logging.ERROR): - event_manager.collect(GraphEngineEvent()) - - error_logs = [record for record in caplog.records if "Error in layer on_event" in record.getMessage()] - assert error_logs, "Expected layer errors to be logged" - - log_record = error_logs[0] - assert log_record.exc_info is not None - assert isinstance(log_record.exc_info[1], RuntimeError) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/graph_traversal/__init__.py b/api/tests/unit_tests/core/workflow/graph_engine/graph_traversal/__init__.py deleted file mode 100644 index cf8811dc2b..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/graph_traversal/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""Tests for graph traversal components.""" diff --git a/api/tests/unit_tests/core/workflow/graph_engine/graph_traversal/test_skip_propagator.py b/api/tests/unit_tests/core/workflow/graph_engine/graph_traversal/test_skip_propagator.py deleted file mode 100644 index b030496eb1..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/graph_traversal/test_skip_propagator.py +++ /dev/null @@ -1,307 +0,0 @@ -"""Unit tests for skip propagator.""" - -from unittest.mock import MagicMock, create_autospec - -from graphon.graph import Edge, Graph -from graphon.graph_engine.graph_state_manager import GraphStateManager -from graphon.graph_engine.graph_traversal.skip_propagator import SkipPropagator - - -class TestSkipPropagator: - """Test suite for SkipPropagator.""" - - def test_propagate_skip_from_edge_with_unknown_edges_stops_processing(self) -> None: - """When there are unknown incoming edges, propagation should stop.""" - # Arrange - mock_graph = create_autospec(Graph) - mock_state_manager = create_autospec(GraphStateManager) - - # Create a mock edge - mock_edge = MagicMock(spec=Edge) - mock_edge.id = "edge_1" - mock_edge.head = "node_2" - - # Setup graph edges dict - mock_graph.edges = {"edge_1": mock_edge} - - # Setup incoming edges - incoming_edges = [MagicMock(spec=Edge), MagicMock(spec=Edge)] - mock_graph.get_incoming_edges.return_value = incoming_edges - - # Setup state manager to return has_unknown=True - mock_state_manager.analyze_edge_states.return_value = { - "has_unknown": True, - "has_taken": False, - "all_skipped": False, - } - - propagator = SkipPropagator(mock_graph, mock_state_manager) - - # Act - propagator.propagate_skip_from_edge("edge_1") - - # Assert - mock_graph.get_incoming_edges.assert_called_once_with("node_2") - mock_state_manager.analyze_edge_states.assert_called_once_with(incoming_edges) - # Should not call any other state manager methods - mock_state_manager.enqueue_node.assert_not_called() - mock_state_manager.start_execution.assert_not_called() - mock_state_manager.mark_node_skipped.assert_not_called() - - def test_propagate_skip_from_edge_with_taken_edge_enqueues_node(self) -> None: - """When there is at least one taken edge, node should be enqueued.""" - # Arrange - mock_graph = create_autospec(Graph) - mock_state_manager = create_autospec(GraphStateManager) - - # Create a mock edge - mock_edge = MagicMock(spec=Edge) - mock_edge.id = "edge_1" - mock_edge.head = "node_2" - - mock_graph.edges = {"edge_1": mock_edge} - incoming_edges = [MagicMock(spec=Edge)] - mock_graph.get_incoming_edges.return_value = incoming_edges - - # Setup state manager to return has_taken=True - mock_state_manager.analyze_edge_states.return_value = { - "has_unknown": False, - "has_taken": True, - "all_skipped": False, - } - - propagator = SkipPropagator(mock_graph, mock_state_manager) - - # Act - propagator.propagate_skip_from_edge("edge_1") - - # Assert - mock_state_manager.enqueue_node.assert_called_once_with("node_2") - mock_state_manager.start_execution.assert_called_once_with("node_2") - mock_state_manager.mark_node_skipped.assert_not_called() - - def test_propagate_skip_from_edge_with_all_skipped_propagates_to_node(self) -> None: - """When all incoming edges are skipped, should propagate skip to node.""" - # Arrange - mock_graph = create_autospec(Graph) - mock_state_manager = create_autospec(GraphStateManager) - - # Create a mock edge - mock_edge = MagicMock(spec=Edge) - mock_edge.id = "edge_1" - mock_edge.head = "node_2" - - mock_graph.edges = {"edge_1": mock_edge} - incoming_edges = [MagicMock(spec=Edge)] - mock_graph.get_incoming_edges.return_value = incoming_edges - - # Setup state manager to return all_skipped=True - mock_state_manager.analyze_edge_states.return_value = { - "has_unknown": False, - "has_taken": False, - "all_skipped": True, - } - - propagator = SkipPropagator(mock_graph, mock_state_manager) - - # Act - propagator.propagate_skip_from_edge("edge_1") - - # Assert - mock_state_manager.mark_node_skipped.assert_called_once_with("node_2") - mock_state_manager.enqueue_node.assert_not_called() - mock_state_manager.start_execution.assert_not_called() - - def test_propagate_skip_to_node_marks_node_and_outgoing_edges_skipped(self) -> None: - """_propagate_skip_to_node should mark node and all outgoing edges as skipped.""" - # Arrange - mock_graph = create_autospec(Graph) - mock_state_manager = create_autospec(GraphStateManager) - - # Create outgoing edges - edge1 = MagicMock(spec=Edge) - edge1.id = "edge_2" - edge1.head = "node_downstream_1" # Set head for propagate_skip_from_edge - - edge2 = MagicMock(spec=Edge) - edge2.id = "edge_3" - edge2.head = "node_downstream_2" - - # Setup graph edges dict for propagate_skip_from_edge - mock_graph.edges = {"edge_2": edge1, "edge_3": edge2} - mock_graph.get_outgoing_edges.return_value = [edge1, edge2] - - # Setup get_incoming_edges to return empty list to stop recursion - mock_graph.get_incoming_edges.return_value = [] - - propagator = SkipPropagator(mock_graph, mock_state_manager) - - # Use mock to call private method - # Act - propagator._propagate_skip_to_node("node_1") - - # Assert - mock_state_manager.mark_node_skipped.assert_called_once_with("node_1") - mock_state_manager.mark_edge_skipped.assert_any_call("edge_2") - mock_state_manager.mark_edge_skipped.assert_any_call("edge_3") - assert mock_state_manager.mark_edge_skipped.call_count == 2 - # Should recursively propagate from each edge - # Since propagate_skip_from_edge is called, we need to verify it was called - # But we can't directly verify due to recursion. We'll trust the logic. - - def test_skip_branch_paths_marks_unselected_edges_and_propagates(self) -> None: - """skip_branch_paths should mark all unselected edges as skipped and propagate.""" - # Arrange - mock_graph = create_autospec(Graph) - mock_state_manager = create_autospec(GraphStateManager) - - # Create unselected edges - edge1 = MagicMock(spec=Edge) - edge1.id = "edge_1" - edge1.head = "node_downstream_1" - - edge2 = MagicMock(spec=Edge) - edge2.id = "edge_2" - edge2.head = "node_downstream_2" - - unselected_edges = [edge1, edge2] - - # Setup graph edges dict - mock_graph.edges = {"edge_1": edge1, "edge_2": edge2} - # Setup get_incoming_edges to return empty list to stop recursion - mock_graph.get_incoming_edges.return_value = [] - - propagator = SkipPropagator(mock_graph, mock_state_manager) - - # Act - propagator.skip_branch_paths(unselected_edges) - - # Assert - mock_state_manager.mark_edge_skipped.assert_any_call("edge_1") - mock_state_manager.mark_edge_skipped.assert_any_call("edge_2") - assert mock_state_manager.mark_edge_skipped.call_count == 2 - # propagate_skip_from_edge should be called for each edge - # We can't directly verify due to the mock, but the logic is covered - - def test_propagate_skip_from_edge_recursively_propagates_through_graph(self) -> None: - """Skip propagation should recursively propagate through the graph.""" - # Arrange - mock_graph = create_autospec(Graph) - mock_state_manager = create_autospec(GraphStateManager) - - # Create edge chain: edge_1 -> node_2 -> edge_3 -> node_4 - edge1 = MagicMock(spec=Edge) - edge1.id = "edge_1" - edge1.head = "node_2" - - edge3 = MagicMock(spec=Edge) - edge3.id = "edge_3" - edge3.head = "node_4" - - mock_graph.edges = {"edge_1": edge1, "edge_3": edge3} - - # Setup get_incoming_edges to return different values based on node - def get_incoming_edges_side_effect(node_id): - if node_id == "node_2": - return [edge1] - elif node_id == "node_4": - return [edge3] - return [] - - mock_graph.get_incoming_edges.side_effect = get_incoming_edges_side_effect - - # Setup get_outgoing_edges to return different values based on node - def get_outgoing_edges_side_effect(node_id): - if node_id == "node_2": - return [edge3] - elif node_id == "node_4": - return [] # No outgoing edges, stops recursion - return [] - - mock_graph.get_outgoing_edges.side_effect = get_outgoing_edges_side_effect - - # Setup state manager to return all_skipped for both nodes - mock_state_manager.analyze_edge_states.return_value = { - "has_unknown": False, - "has_taken": False, - "all_skipped": True, - } - - propagator = SkipPropagator(mock_graph, mock_state_manager) - - # Act - propagator.propagate_skip_from_edge("edge_1") - - # Assert - # Should mark node_2 as skipped - mock_state_manager.mark_node_skipped.assert_any_call("node_2") - # Should mark edge_3 as skipped - mock_state_manager.mark_edge_skipped.assert_any_call("edge_3") - # Should propagate to node_4 - mock_state_manager.mark_node_skipped.assert_any_call("node_4") - assert mock_state_manager.mark_node_skipped.call_count == 2 - - def test_propagate_skip_from_edge_with_mixed_edge_states_handles_correctly(self) -> None: - """Test with mixed edge states (some unknown, some taken, some skipped).""" - # Arrange - mock_graph = create_autospec(Graph) - mock_state_manager = create_autospec(GraphStateManager) - - mock_edge = MagicMock(spec=Edge) - mock_edge.id = "edge_1" - mock_edge.head = "node_2" - - mock_graph.edges = {"edge_1": mock_edge} - incoming_edges = [MagicMock(spec=Edge), MagicMock(spec=Edge), MagicMock(spec=Edge)] - mock_graph.get_incoming_edges.return_value = incoming_edges - - # Test 1: has_unknown=True, has_taken=False, all_skipped=False - mock_state_manager.analyze_edge_states.return_value = { - "has_unknown": True, - "has_taken": False, - "all_skipped": False, - } - - propagator = SkipPropagator(mock_graph, mock_state_manager) - - # Act - propagator.propagate_skip_from_edge("edge_1") - - # Assert - should stop processing - mock_state_manager.enqueue_node.assert_not_called() - mock_state_manager.mark_node_skipped.assert_not_called() - - # Reset mocks for next test - mock_state_manager.reset_mock() - mock_graph.reset_mock() - - # Test 2: has_unknown=False, has_taken=True, all_skipped=False - mock_state_manager.analyze_edge_states.return_value = { - "has_unknown": False, - "has_taken": True, - "all_skipped": False, - } - - # Act - propagator.propagate_skip_from_edge("edge_1") - - # Assert - should enqueue node - mock_state_manager.enqueue_node.assert_called_once_with("node_2") - mock_state_manager.start_execution.assert_called_once_with("node_2") - - # Reset mocks for next test - mock_state_manager.reset_mock() - mock_graph.reset_mock() - - # Test 3: has_unknown=False, has_taken=False, all_skipped=True - mock_state_manager.analyze_edge_states.return_value = { - "has_unknown": False, - "has_taken": False, - "all_skipped": True, - } - - # Act - propagator.propagate_skip_from_edge("edge_1") - - # Assert - should propagate skip - mock_state_manager.mark_node_skipped.assert_called_once_with("node_2") diff --git a/api/tests/unit_tests/core/workflow/graph_engine/human_input_test_utils.py b/api/tests/unit_tests/core/workflow/graph_engine/human_input_test_utils.py deleted file mode 100644 index 2fead1d719..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/human_input_test_utils.py +++ /dev/null @@ -1,131 +0,0 @@ -"""Utilities for testing HumanInputNode without database dependencies.""" - -from __future__ import annotations - -from collections.abc import Mapping -from dataclasses import dataclass -from datetime import datetime, timedelta -from typing import Any - -from core.repositories.human_input_repository import ( - FormCreateParams, - HumanInputFormEntity, - HumanInputFormRecipientEntity, - HumanInputFormRepository, -) -from graphon.nodes.human_input.enums import HumanInputFormStatus -from libs.datetime_utils import naive_utc_now - - -class _InMemoryFormRecipient(HumanInputFormRecipientEntity): - """Minimal recipient entity required by the repository interface.""" - - def __init__(self, recipient_id: str, token: str) -> None: - self._id = recipient_id - self._token = token - - @property - def id(self) -> str: - return self._id - - @property - def token(self) -> str: - return self._token - - -@dataclass -class _InMemoryFormEntity(HumanInputFormEntity): - form_id: str - rendered: str - token: str | None = None - action_id: str | None = None - data: Mapping[str, Any] | None = None - is_submitted: bool = False - status_value: HumanInputFormStatus = HumanInputFormStatus.WAITING - expiration: datetime = naive_utc_now() - - @property - def id(self) -> str: - return self.form_id - - @property - def submission_token(self) -> str | None: - return self.token - - @property - def recipients(self) -> list[HumanInputFormRecipientEntity]: - return [] - - @property - def rendered_content(self) -> str: - return self.rendered - - @property - def selected_action_id(self) -> str | None: - return self.action_id - - @property - def submitted_data(self) -> Mapping[str, Any] | None: - return self.data - - @property - def submitted(self) -> bool: - return self.is_submitted - - @property - def status(self) -> HumanInputFormStatus: - return self.status_value - - @property - def expiration_time(self) -> datetime: - return self.expiration - - -class InMemoryHumanInputFormRepository(HumanInputFormRepository): - """Pure in-memory repository used by workflow graph engine tests.""" - - def __init__(self) -> None: - self._form_counter = 0 - self.created_params: list[FormCreateParams] = [] - self.created_forms: list[_InMemoryFormEntity] = [] - self._forms_by_node_id: dict[str, _InMemoryFormEntity] = {} - - def create_form(self, params: FormCreateParams) -> HumanInputFormEntity: - self.created_params.append(params) - self._form_counter += 1 - form_id = f"form-{self._form_counter}" - token = f"token-{form_id}" - entity = _InMemoryFormEntity( - form_id=form_id, - rendered=params.rendered_content, - token=token, - ) - self.created_forms.append(entity) - self._forms_by_node_id[params.node_id] = entity - return entity - - def get_form(self, node_id: str) -> HumanInputFormEntity | None: - return self._forms_by_node_id.get(node_id) - - # Convenience helpers for tests ------------------------------------- - - def set_submission(self, *, action_id: str, form_data: Mapping[str, Any] | None = None) -> None: - """Simulate a human submission for the next repository lookup.""" - - if not self.created_forms: - raise AssertionError("no form has been created to attach submission data") - entity = self.created_forms[-1] - entity.action_id = action_id - entity.data = form_data or {} - entity.is_submitted = True - entity.status_value = HumanInputFormStatus.SUBMITTED - entity.expiration = naive_utc_now() + timedelta(days=1) - - def clear_submission(self) -> None: - if not self.created_forms: - return - for form in self.created_forms: - form.action_id = None - form.data = None - form.is_submitted = False - form.status_value = HumanInputFormStatus.WAITING diff --git a/api/tests/unit_tests/core/workflow/graph_engine/layers/conftest.py b/api/tests/unit_tests/core/workflow/graph_engine/layers/conftest.py index b642dc82fe..41627f5e0b 100644 --- a/api/tests/unit_tests/core/workflow/graph_engine/layers/conftest.py +++ b/api/tests/unit_tests/core/workflow/graph_engine/layers/conftest.py @@ -5,13 +5,12 @@ Shared fixtures for ObservabilityLayer tests. from unittest.mock import MagicMock, patch import pytest +from graphon.enums import BuiltinNodeTypes from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import SimpleSpanProcessor from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter from opentelemetry.trace import set_tracer_provider -from graphon.enums import BuiltinNodeTypes - @pytest.fixture def memory_span_exporter(): @@ -62,9 +61,10 @@ def mock_llm_node(): @pytest.fixture def mock_tool_node(): """Create a mock Tool Node with tool-specific attributes.""" - from core.tools.entities.tool_entities import ToolProviderType from graphon.nodes.tool.entities import ToolNodeData + from core.tools.entities.tool_entities import ToolProviderType + node = MagicMock() node.id = "test-tool-node-id" node.title = "Test Tool Node" @@ -117,8 +117,8 @@ def mock_result_event(): """Create a mock result event with NodeRunResult.""" from datetime import datetime - from graphon.graph_events.node import NodeRunSucceededEvent - from graphon.node_events.base import NodeRunResult + from graphon.graph_events import NodeRunSucceededEvent + from graphon.node_events import NodeRunResult node_run_result = NodeRunResult( inputs={"query": "test query"}, diff --git a/api/tests/unit_tests/core/workflow/graph_engine/layers/test_layer_initialization.py b/api/tests/unit_tests/core/workflow/graph_engine/layers/test_layer_initialization.py deleted file mode 100644 index 7ff77c19c1..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/layers/test_layer_initialization.py +++ /dev/null @@ -1,57 +0,0 @@ -from __future__ import annotations - -import pytest - -from graphon.graph_engine import GraphEngine, GraphEngineConfig -from graphon.graph_engine.command_channels import InMemoryChannel -from graphon.graph_engine.layers.base import ( - GraphEngineLayer, - GraphEngineLayerNotInitializedError, -) -from graphon.graph_events import GraphEngineEvent - -from ..test_table_runner import WorkflowRunner - - -class LayerForTest(GraphEngineLayer): - def on_graph_start(self) -> None: - pass - - def on_event(self, event: GraphEngineEvent) -> None: - pass - - def on_graph_end(self, error: Exception | None) -> None: - pass - - -def test_layer_runtime_state_raises_when_uninitialized() -> None: - layer = LayerForTest() - - with pytest.raises(GraphEngineLayerNotInitializedError): - _ = layer.graph_runtime_state - - -def test_layer_runtime_state_available_after_engine_layer() -> None: - runner = WorkflowRunner() - fixture_data = runner.load_fixture("simple_passthrough_workflow") - graph, graph_runtime_state = runner.create_graph_from_fixture( - fixture_data, - inputs={"query": "test layer state"}, - ) - engine = GraphEngine( - workflow_id="test_workflow", - graph=graph, - graph_runtime_state=graph_runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig(), - ) - - layer = LayerForTest() - engine.layer(layer) - - outputs = layer.graph_runtime_state.outputs - ready_queue_size = layer.graph_runtime_state.ready_queue_size - - assert outputs == {} - assert isinstance(ready_queue_size, int) - assert ready_queue_size >= 0 diff --git a/api/tests/unit_tests/core/workflow/graph_engine/layers/test_llm_quota.py b/api/tests/unit_tests/core/workflow/graph_engine/layers/test_llm_quota.py index 80874e768a..99d131737e 100644 --- a/api/tests/unit_tests/core/workflow/graph_engine/layers/test_llm_quota.py +++ b/api/tests/unit_tests/core/workflow/graph_engine/layers/test_llm_quota.py @@ -3,15 +3,16 @@ from datetime import datetime from types import SimpleNamespace from unittest.mock import MagicMock, patch +from graphon.enums import BuiltinNodeTypes, WorkflowNodeExecutionStatus +from graphon.graph_engine.entities.commands import CommandType +from graphon.graph_events import NodeRunSucceededEvent +from graphon.model_runtime.entities.llm_entities import LLMUsage +from graphon.node_events import NodeRunResult + from core.app.entities.app_invoke_entities import DifyRunContext, InvokeFrom, UserFrom from core.app.workflow.layers.llm_quota import LLMQuotaLayer from core.errors.error import QuotaExceededError from core.model_manager import ModelInstance -from graphon.enums import BuiltinNodeTypes, WorkflowNodeExecutionStatus -from graphon.graph_engine.entities.commands import CommandType -from graphon.graph_events.node import NodeRunSucceededEvent -from graphon.model_runtime.entities.llm_entities import LLMUsage -from graphon.node_events import NodeRunResult def _build_dify_context() -> DifyRunContext: diff --git a/api/tests/unit_tests/core/workflow/graph_engine/layers/test_observability.py b/api/tests/unit_tests/core/workflow/graph_engine/layers/test_observability.py index 14ce55938d..9cf72763ee 100644 --- a/api/tests/unit_tests/core/workflow/graph_engine/layers/test_observability.py +++ b/api/tests/unit_tests/core/workflow/graph_engine/layers/test_observability.py @@ -13,10 +13,10 @@ Test coverage: from unittest.mock import patch import pytest +from graphon.enums import BuiltinNodeTypes from opentelemetry.trace import StatusCode from core.app.workflow.layers.observability import ObservabilityLayer -from graphon.enums import BuiltinNodeTypes class TestObservabilityLayerInitialization: @@ -144,7 +144,7 @@ class TestObservabilityLayerParserIntegration: self, tracer_provider_with_memory_exporter, memory_span_exporter, mock_llm_node, mock_result_event ): """Test that LLM parser is used for LLM nodes and extracts LLM-specific attributes.""" - from graphon.node_events.base import NodeRunResult + from graphon.node_events import NodeRunResult mock_result_event.node_run_result = NodeRunResult( inputs={}, @@ -182,7 +182,7 @@ class TestObservabilityLayerParserIntegration: self, tracer_provider_with_memory_exporter, memory_span_exporter, mock_retrieval_node, mock_result_event ): """Test that retrieval parser is used for retrieval nodes and extracts retrieval-specific attributes.""" - from graphon.node_events.base import NodeRunResult + from graphon.node_events import NodeRunResult mock_result_event.node_run_result = NodeRunResult( inputs={"query": "test query"}, @@ -210,7 +210,7 @@ class TestObservabilityLayerParserIntegration: self, tracer_provider_with_memory_exporter, memory_span_exporter, mock_start_node, mock_result_event ): """Test that result_event parameter allows parsers to extract inputs and outputs.""" - from graphon.node_events.base import NodeRunResult + from graphon.node_events import NodeRunResult mock_result_event.node_run_result = NodeRunResult( inputs={"input_key": "input_value"}, diff --git a/api/tests/unit_tests/core/workflow/graph_engine/orchestration/test_dispatcher.py b/api/tests/unit_tests/core/workflow/graph_engine/orchestration/test_dispatcher.py deleted file mode 100644 index ab3a31f673..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/orchestration/test_dispatcher.py +++ /dev/null @@ -1,189 +0,0 @@ -"""Tests for dispatcher command checking behavior.""" - -from __future__ import annotations - -import queue -from unittest import mock - -from graphon.entities.pause_reason import SchedulingPause -from graphon.enums import BuiltinNodeTypes, WorkflowNodeExecutionStatus -from graphon.graph_engine.event_management.event_handlers import EventHandler -from graphon.graph_engine.orchestration.dispatcher import Dispatcher -from graphon.graph_engine.orchestration.execution_coordinator import ExecutionCoordinator -from graphon.graph_events import ( - GraphNodeEventBase, - NodeRunPauseRequestedEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, -) -from graphon.node_events import NodeRunResult -from libs.datetime_utils import naive_utc_now - - -def test_dispatcher_should_consume_remains_events_after_pause(): - event_queue = queue.Queue() - event_queue.put( - GraphNodeEventBase( - id="test", - node_id="test", - node_type=BuiltinNodeTypes.START, - ) - ) - event_handler = mock.Mock(spec=EventHandler) - execution_coordinator = mock.Mock(spec=ExecutionCoordinator) - execution_coordinator.paused.return_value = True - dispatcher = Dispatcher( - event_queue=event_queue, - event_handler=event_handler, - execution_coordinator=execution_coordinator, - ) - dispatcher._dispatcher_loop() - assert event_queue.empty() - - -class _StubExecutionCoordinator: - """Stub execution coordinator that tracks command checks.""" - - def __init__(self) -> None: - self.command_checks = 0 - self.scaling_checks = 0 - self.execution_complete = False - self.failed = False - self._paused = False - - def process_commands(self) -> None: - self.command_checks += 1 - - def check_scaling(self) -> None: - self.scaling_checks += 1 - - @property - def paused(self) -> bool: - return self._paused - - @property - def aborted(self) -> bool: - return False - - def mark_complete(self) -> None: - self.execution_complete = True - - def mark_failed(self, error: Exception) -> None: # pragma: no cover - defensive, not triggered in tests - self.failed = True - - -class _StubEventHandler: - """Minimal event handler that marks execution complete after handling an event.""" - - def __init__(self, coordinator: _StubExecutionCoordinator) -> None: - self._coordinator = coordinator - self.events = [] - - def dispatch(self, event) -> None: - self.events.append(event) - self._coordinator.mark_complete() - - -def _run_dispatcher_for_event(event) -> int: - """Run the dispatcher loop for a single event and return command check count.""" - event_queue: queue.Queue = queue.Queue() - event_queue.put(event) - - coordinator = _StubExecutionCoordinator() - event_handler = _StubEventHandler(coordinator) - - dispatcher = Dispatcher( - event_queue=event_queue, - event_handler=event_handler, - execution_coordinator=coordinator, - ) - - dispatcher._dispatcher_loop() - - return coordinator.command_checks - - -def _make_started_event() -> NodeRunStartedEvent: - return NodeRunStartedEvent( - id="start-event", - node_id="node-1", - node_type=BuiltinNodeTypes.CODE, - node_title="Test Node", - start_at=naive_utc_now(), - ) - - -def _make_succeeded_event() -> NodeRunSucceededEvent: - return NodeRunSucceededEvent( - id="success-event", - node_id="node-1", - node_type=BuiltinNodeTypes.CODE, - node_title="Test Node", - start_at=naive_utc_now(), - node_run_result=NodeRunResult(status=WorkflowNodeExecutionStatus.SUCCEEDED), - ) - - -def test_dispatcher_checks_commands_during_idle_and_on_completion() -> None: - """Dispatcher polls commands when idle and after completion events.""" - started_checks = _run_dispatcher_for_event(_make_started_event()) - succeeded_checks = _run_dispatcher_for_event(_make_succeeded_event()) - - assert started_checks == 2 - assert succeeded_checks == 3 - - -class _PauseStubEventHandler: - """Minimal event handler that marks execution complete after handling an event.""" - - def __init__(self, coordinator: _StubExecutionCoordinator) -> None: - self._coordinator = coordinator - self.events = [] - - def dispatch(self, event) -> None: - self.events.append(event) - if isinstance(event, NodeRunPauseRequestedEvent): - self._coordinator.mark_complete() - - -def test_dispatcher_drain_event_queue(): - events = [ - NodeRunStartedEvent( - id="start-event", - node_id="node-1", - node_type=BuiltinNodeTypes.CODE, - node_title="Code", - start_at=naive_utc_now(), - ), - NodeRunPauseRequestedEvent( - id="pause-event", - node_id="node-1", - node_type=BuiltinNodeTypes.CODE, - reason=SchedulingPause(message="test pause"), - ), - NodeRunSucceededEvent( - id="success-event", - node_id="node-1", - node_type=BuiltinNodeTypes.CODE, - start_at=naive_utc_now(), - node_run_result=NodeRunResult(status=WorkflowNodeExecutionStatus.SUCCEEDED), - ), - ] - - event_queue: queue.Queue = queue.Queue() - for e in events: - event_queue.put(e) - - coordinator = _StubExecutionCoordinator() - event_handler = _PauseStubEventHandler(coordinator) - - dispatcher = Dispatcher( - event_queue=event_queue, - event_handler=event_handler, - execution_coordinator=coordinator, - ) - - dispatcher._dispatcher_loop() - - # ensure all events are drained. - assert event_queue.empty() diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_answer_end_with_text.py b/api/tests/unit_tests/core/workflow/graph_engine/test_answer_end_with_text.py deleted file mode 100644 index 1510c8e595..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_answer_end_with_text.py +++ /dev/null @@ -1,37 +0,0 @@ -from graphon.graph_events import ( - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, -) - -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def test_answer_end_with_text(): - fixture_name = "answer_end_with_text" - case = WorkflowTestCase( - fixture_name, - query="Hello, AI!", - expected_outputs={"answer": "prefixHello, AI!suffix"}, - expected_event_sequence=[ - GraphRunStartedEvent, - # Start - NodeRunStartedEvent, - # The chunks are now emitted as the Answer node processes them - # since sys.query is a special selector that gets attributed to - # the active response node - NodeRunStreamChunkEvent, # prefix - NodeRunStreamChunkEvent, # sys.query - NodeRunStreamChunkEvent, # suffix - NodeRunSucceededEvent, - # Answer - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, - ], - ) - runner = TableTestRunner() - result = runner.run_test_case(case) - assert result.success, f"Test failed: {result.error}" diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_answer_order_workflow.py b/api/tests/unit_tests/core/workflow/graph_engine/test_answer_order_workflow.py deleted file mode 100644 index 6569439b56..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_answer_order_workflow.py +++ /dev/null @@ -1,28 +0,0 @@ -from .test_mock_config import MockConfigBuilder -from .test_table_runner import TableTestRunner, WorkflowTestCase - -LLM_NODE_ID = "1759052580454" - - -def test_answer_nodes_emit_in_order() -> None: - mock_config = ( - MockConfigBuilder() - .with_llm_response("unused default") - .with_node_output(LLM_NODE_ID, {"text": "mocked llm text"}) - .build() - ) - - expected_answer = "--- answer 1 ---\n\nfoo\n--- answer 2 ---\n\nmocked llm text\n" - - case = WorkflowTestCase( - fixture_path="test-answer-order", - query="", - expected_outputs={"answer": expected_answer}, - use_auto_mock=True, - mock_config=mock_config, - ) - - runner = TableTestRunner() - result = runner.run_test_case(case) - - assert result.success, result.error diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_array_iteration_formatting_workflow.py b/api/tests/unit_tests/core/workflow/graph_engine/test_array_iteration_formatting_workflow.py deleted file mode 100644 index 05ec565def..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_array_iteration_formatting_workflow.py +++ /dev/null @@ -1,24 +0,0 @@ -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def test_array_iteration_formatting_workflow(): - """ - Validate Iteration node processes [1,2,3] into formatted strings. - - Fixture description expects: - {"output": ["output: 1", "output: 2", "output: 3"]} - """ - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="array_iteration_formatting_workflow", - inputs={}, - expected_outputs={"output": ["output: 1", "output: 2", "output: 3"]}, - description="Iteration formats numbers into strings", - use_auto_mock=True, - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Iteration workflow failed: {result.error}" - assert result.actual_outputs == test_case.expected_outputs diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_auto_mock_system.py b/api/tests/unit_tests/core/workflow/graph_engine/test_auto_mock_system.py deleted file mode 100644 index 5d0b37acc5..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_auto_mock_system.py +++ /dev/null @@ -1,392 +0,0 @@ -""" -Tests for the auto-mock system. - -This module contains tests that validate the auto-mock functionality -for workflows containing nodes that require third-party services. -""" - -import pytest - -from graphon.enums import BuiltinNodeTypes -from tests.workflow_test_utils import build_test_graph_init_params - -from .test_mock_config import MockConfig, MockConfigBuilder, NodeMockConfig -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def test_simple_llm_workflow_with_auto_mock(): - """Test that a simple LLM workflow runs successfully with auto-mocking.""" - runner = TableTestRunner() - - # Create mock configuration - mock_config = MockConfigBuilder().with_llm_response("This is a test response from mocked LLM").build() - - test_case = WorkflowTestCase( - fixture_path="basic_llm_chat_workflow", - inputs={"query": "Hello, how are you?"}, - expected_outputs={"answer": "This is a test response from mocked LLM"}, - description="Simple LLM workflow with auto-mock", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Workflow failed: {result.error}" - assert result.actual_outputs is not None - assert "answer" in result.actual_outputs - assert result.actual_outputs["answer"] == "This is a test response from mocked LLM" - - -def test_llm_workflow_with_custom_node_output(): - """Test LLM workflow with custom output for specific node.""" - runner = TableTestRunner() - - # Create mock configuration with custom output for specific node - mock_config = MockConfig() - mock_config.set_node_outputs( - "llm_node", - { - "text": "Custom response for this specific node", - "usage": { - "prompt_tokens": 20, - "completion_tokens": 10, - "total_tokens": 30, - }, - "finish_reason": "stop", - }, - ) - - test_case = WorkflowTestCase( - fixture_path="basic_llm_chat_workflow", - inputs={"query": "Test query"}, - expected_outputs={"answer": "Custom response for this specific node"}, - description="LLM workflow with custom node output", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Workflow failed: {result.error}" - assert result.actual_outputs is not None - assert result.actual_outputs["answer"] == "Custom response for this specific node" - - -def test_http_tool_workflow_with_auto_mock(): - """Test workflow with HTTP request and tool nodes using auto-mock.""" - runner = TableTestRunner() - - # Create mock configuration - mock_config = MockConfig() - mock_config.set_node_outputs( - "http_node", - { - "status_code": 200, - "body": '{"key": "value", "number": 42}', - "headers": {"content-type": "application/json"}, - }, - ) - mock_config.set_node_outputs( - "tool_node", - { - "result": {"key": "value", "number": 42}, - }, - ) - - test_case = WorkflowTestCase( - fixture_path="http_request_with_json_tool_workflow", - inputs={"url": "https://api.example.com/data"}, - expected_outputs={ - "status_code": 200, - "parsed_data": {"key": "value", "number": 42}, - }, - description="HTTP and Tool workflow with auto-mock", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Workflow failed: {result.error}" - assert result.actual_outputs is not None - assert result.actual_outputs["status_code"] == 200 - assert result.actual_outputs["parsed_data"] == {"key": "value", "number": 42} - - -def test_workflow_with_simulated_node_error(): - """Test that workflows handle simulated node errors correctly.""" - runner = TableTestRunner() - - # Create mock configuration with error - mock_config = MockConfig() - mock_config.set_node_error("llm_node", "Simulated LLM API error") - - test_case = WorkflowTestCase( - fixture_path="basic_llm_chat_workflow", - inputs={"query": "This should fail"}, - expected_outputs={}, # We expect failure, so no outputs - description="LLM workflow with simulated error", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - # The workflow should fail due to the simulated error - assert not result.success - assert result.error is not None - - -def test_workflow_with_mock_delays(): - """Test that mock delays work correctly.""" - runner = TableTestRunner() - - # Create mock configuration with delays - mock_config = MockConfig(simulate_delays=True) - node_config = NodeMockConfig( - node_id="llm_node", - outputs={"text": "Response after delay"}, - delay=0.1, # 100ms delay - ) - mock_config.set_node_config("llm_node", node_config) - - test_case = WorkflowTestCase( - fixture_path="basic_llm_chat_workflow", - inputs={"query": "Test with delay"}, - expected_outputs={"answer": "Response after delay"}, - description="LLM workflow with simulated delay", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Workflow failed: {result.error}" - # Execution time should be at least the delay - assert result.execution_time >= 0.1 - - -def test_mock_config_builder(): - """Test the MockConfigBuilder fluent interface.""" - config = ( - MockConfigBuilder() - .with_llm_response("LLM response") - .with_agent_response("Agent response") - .with_tool_response({"tool": "output"}) - .with_retrieval_response("Retrieval content") - .with_http_response({"status_code": 201, "body": "created"}) - .with_node_output("node1", {"output": "value"}) - .with_node_error("node2", "error message") - .with_delays(True) - .build() - ) - - assert config.default_llm_response == "LLM response" - assert config.default_agent_response == "Agent response" - assert config.default_tool_response == {"tool": "output"} - assert config.default_retrieval_response == "Retrieval content" - assert config.default_http_response == {"status_code": 201, "body": "created"} - assert config.simulate_delays is True - - node1_config = config.get_node_config("node1") - assert node1_config is not None - assert node1_config.outputs == {"output": "value"} - - node2_config = config.get_node_config("node2") - assert node2_config is not None - assert node2_config.error == "error message" - - -def test_mock_factory_node_type_detection(): - """Test that MockNodeFactory correctly identifies nodes to mock.""" - from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom - from graphon.runtime import GraphRuntimeState, VariablePool - - from .test_mock_factory import MockNodeFactory - - graph_init_params = build_test_graph_init_params( - workflow_id="test", - graph_config={}, - tenant_id="test", - app_id="test", - user_id="test", - user_from=UserFrom.ACCOUNT, - invoke_from=InvokeFrom.SERVICE_API, - ) - graph_runtime_state = GraphRuntimeState( - variable_pool=VariablePool(environment_variables=[], conversation_variables=[], user_inputs={}), - start_at=0, - total_tokens=0, - node_run_steps=0, - ) - factory = MockNodeFactory( - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=None, - ) - - # Test that third-party service nodes are identified for mocking - assert factory.should_mock_node(BuiltinNodeTypes.LLM) - assert factory.should_mock_node(BuiltinNodeTypes.AGENT) - assert factory.should_mock_node(BuiltinNodeTypes.TOOL) - assert factory.should_mock_node(BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL) - assert factory.should_mock_node(BuiltinNodeTypes.HTTP_REQUEST) - assert factory.should_mock_node(BuiltinNodeTypes.PARAMETER_EXTRACTOR) - assert factory.should_mock_node(BuiltinNodeTypes.DOCUMENT_EXTRACTOR) - - # Test that CODE and TEMPLATE_TRANSFORM are mocked (they require SSRF proxy) - assert factory.should_mock_node(BuiltinNodeTypes.CODE) - assert factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - # Test that non-service nodes are not mocked - assert not factory.should_mock_node(BuiltinNodeTypes.START) - assert not factory.should_mock_node(BuiltinNodeTypes.END) - assert not factory.should_mock_node(BuiltinNodeTypes.IF_ELSE) - assert not factory.should_mock_node(BuiltinNodeTypes.VARIABLE_AGGREGATOR) - - -def test_custom_mock_handler(): - """Test using a custom handler function for mock outputs.""" - runner = TableTestRunner() - - # Custom handler that modifies output based on input - def custom_llm_handler(node) -> dict: - # In a real scenario, we could access node.graph_runtime_state.variable_pool - # to get the actual inputs - return { - "text": "Custom handler response", - "usage": { - "prompt_tokens": 5, - "completion_tokens": 3, - "total_tokens": 8, - }, - "finish_reason": "stop", - } - - mock_config = MockConfig() - node_config = NodeMockConfig( - node_id="llm_node", - custom_handler=custom_llm_handler, - ) - mock_config.set_node_config("llm_node", node_config) - - test_case = WorkflowTestCase( - fixture_path="basic_llm_chat_workflow", - inputs={"query": "Test custom handler"}, - expected_outputs={"answer": "Custom handler response"}, - description="LLM workflow with custom handler", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Workflow failed: {result.error}" - assert result.actual_outputs["answer"] == "Custom handler response" - - -def test_workflow_without_auto_mock(): - """Test that workflows work normally without auto-mock enabled.""" - runner = TableTestRunner() - - # This test uses the echo workflow which doesn't need external services - test_case = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": "Test without mock"}, - expected_outputs={"query": "Test without mock"}, - description="Echo workflow without auto-mock", - use_auto_mock=False, # Auto-mock disabled - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Workflow failed: {result.error}" - assert result.actual_outputs["query"] == "Test without mock" - - -def test_register_custom_mock_node(): - """Test registering a custom mock implementation for a node type.""" - from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom - from graphon.nodes.template_transform import TemplateTransformNode - from graphon.runtime import GraphRuntimeState, VariablePool - - from .test_mock_factory import MockNodeFactory - - # Create a custom mock for TemplateTransformNode - class MockTemplateTransformNode(TemplateTransformNode): - def _run(self): - # Custom mock implementation - pass - - graph_init_params = build_test_graph_init_params( - workflow_id="test", - graph_config={}, - tenant_id="test", - app_id="test", - user_id="test", - user_from=UserFrom.ACCOUNT, - invoke_from=InvokeFrom.SERVICE_API, - ) - graph_runtime_state = GraphRuntimeState( - variable_pool=VariablePool(environment_variables=[], conversation_variables=[], user_inputs={}), - start_at=0, - total_tokens=0, - node_run_steps=0, - ) - factory = MockNodeFactory( - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=None, - ) - - # TEMPLATE_TRANSFORM is mocked by default (requires SSRF proxy) - assert factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - # Unregister mock - factory.unregister_mock_node_type(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - assert not factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - # Re-register custom mock - factory.register_mock_node_type(BuiltinNodeTypes.TEMPLATE_TRANSFORM, MockTemplateTransformNode) - assert factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - -def test_default_config_by_node_type(): - """Test setting default configurations by node type.""" - mock_config = MockConfig() - - # Set default config for all LLM nodes - mock_config.set_default_config( - BuiltinNodeTypes.LLM, - { - "default_response": "Default LLM response for all nodes", - "temperature": 0.7, - }, - ) - - # Set default config for all HTTP nodes - mock_config.set_default_config( - BuiltinNodeTypes.HTTP_REQUEST, - { - "default_status": 200, - "default_timeout": 30, - }, - ) - - llm_config = mock_config.get_default_config(BuiltinNodeTypes.LLM) - assert llm_config["default_response"] == "Default LLM response for all nodes" - assert llm_config["temperature"] == 0.7 - - http_config = mock_config.get_default_config(BuiltinNodeTypes.HTTP_REQUEST) - assert http_config["default_status"] == 200 - assert http_config["default_timeout"] == 30 - - # Non-configured node type should return empty dict - tool_config = mock_config.get_default_config(BuiltinNodeTypes.TOOL) - assert tool_config == {} - - -if __name__ == "__main__": - # Run all tests - pytest.main([__file__, "-v"]) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_basic_chatflow.py b/api/tests/unit_tests/core/workflow/graph_engine/test_basic_chatflow.py deleted file mode 100644 index cefe3b8ac8..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_basic_chatflow.py +++ /dev/null @@ -1,41 +0,0 @@ -from graphon.graph_events import ( - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, -) - -from .test_mock_config import MockConfigBuilder -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def test_basic_chatflow(): - fixture_name = "basic_chatflow" - mock_config = MockConfigBuilder().with_llm_response("mocked llm response").build() - case = WorkflowTestCase( - fixture_path=fixture_name, - use_auto_mock=True, - mock_config=mock_config, - expected_outputs={"answer": "mocked llm response"}, - expected_event_sequence=[ - GraphRunStartedEvent, - # START - NodeRunStartedEvent, - NodeRunSucceededEvent, - # LLM - NodeRunStartedEvent, - ] - + [NodeRunStreamChunkEvent] * ("mocked llm response".count(" ") + 2) - + [ - NodeRunSucceededEvent, - # ANSWER - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, - ], - ) - - runner = TableTestRunner() - result = runner.run_test_case(case) - assert result.success, f"Test failed: {result.error}" diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_command_system.py b/api/tests/unit_tests/core/workflow/graph_engine/test_command_system.py deleted file mode 100644 index 01ac2d7a96..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_command_system.py +++ /dev/null @@ -1,266 +0,0 @@ -"""Test the command system for GraphEngine control.""" - -import time -from unittest.mock import MagicMock - -from core.app.entities.app_invoke_entities import DIFY_RUN_CONTEXT_KEY, InvokeFrom, UserFrom -from graphon.entities.graph_init_params import GraphInitParams -from graphon.entities.pause_reason import SchedulingPause -from graphon.graph import Graph -from graphon.graph_engine import GraphEngine, GraphEngineConfig -from graphon.graph_engine.command_channels import InMemoryChannel -from graphon.graph_engine.entities.commands import ( - AbortCommand, - CommandType, - PauseCommand, - UpdateVariablesCommand, - VariableUpdate, -) -from graphon.graph_events import GraphRunAbortedEvent, GraphRunPausedEvent, GraphRunStartedEvent -from graphon.nodes.start.start_node import StartNode -from graphon.runtime import GraphRuntimeState, VariablePool -from graphon.variables import IntegerVariable, StringVariable - - -def test_abort_command(): - """Test that GraphEngine properly handles abort commands.""" - - # Create shared GraphRuntimeState - shared_runtime_state = GraphRuntimeState(variable_pool=VariablePool(), start_at=time.perf_counter()) - - # Create a minimal mock graph - mock_graph = MagicMock(spec=Graph) - mock_graph.nodes = {} - mock_graph.edges = {} - mock_graph.root_node = MagicMock() - mock_graph.root_node.id = "start" - - # Create mock nodes with required attributes - using shared runtime state - start_node = StartNode( - id="start", - config={"id": "start", "data": {"title": "start", "variables": []}}, - graph_init_params=GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": UserFrom.ACCOUNT, - "invoke_from": InvokeFrom.DEBUGGER, - } - }, - call_depth=0, - ), - graph_runtime_state=shared_runtime_state, - ) - mock_graph.nodes["start"] = start_node - - # Mock graph methods - mock_graph.get_outgoing_edges = MagicMock(return_value=[]) - mock_graph.get_incoming_edges = MagicMock(return_value=[]) - - # Create command channel - command_channel = InMemoryChannel() - - # Create GraphEngine with same shared runtime state - engine = GraphEngine( - workflow_id="test_workflow", - graph=mock_graph, - graph_runtime_state=shared_runtime_state, # Use shared instance - command_channel=command_channel, - config=GraphEngineConfig(), - ) - - # Queue an abort request before starting. - engine.request_abort("Test abort") - - # Run engine and collect events - events = list(engine.run()) - - # Verify we get start and abort events - assert any(isinstance(e, GraphRunStartedEvent) for e in events) - assert any(isinstance(e, GraphRunAbortedEvent) for e in events) - - # Find the abort event and check its reason - abort_events = [e for e in events if isinstance(e, GraphRunAbortedEvent)] - assert len(abort_events) == 1 - assert abort_events[0].reason is not None - assert "aborted: test abort" in abort_events[0].reason.lower() - - -def test_redis_channel_serialization(): - """Test that Redis channel properly serializes and deserializes commands.""" - import json - from unittest.mock import MagicMock - - # Mock redis client - mock_redis = MagicMock() - mock_pipeline = MagicMock() - mock_redis.pipeline.return_value.__enter__ = MagicMock(return_value=mock_pipeline) - mock_redis.pipeline.return_value.__exit__ = MagicMock(return_value=None) - - from graphon.graph_engine.command_channels.redis_channel import RedisChannel - - # Create channel with a specific key - channel = RedisChannel(mock_redis, channel_key="workflow:123:commands") - - # Test sending a command - abort_command = AbortCommand(reason="Test abort") - channel.send_command(abort_command) - - # Verify redis methods were called - mock_pipeline.rpush.assert_called_once() - mock_pipeline.expire.assert_called_once() - - # Verify the serialized data - call_args = mock_pipeline.rpush.call_args - key = call_args[0][0] - command_json = call_args[0][1] - - assert key == "workflow:123:commands" - - # Verify JSON structure - command_data = json.loads(command_json) - assert command_data["command_type"] == "abort" - assert command_data["reason"] == "Test abort" - - # Test pause command serialization - pause_command = PauseCommand(reason="User requested pause") - channel.send_command(pause_command) - - assert len(mock_pipeline.rpush.call_args_list) == 2 - second_call_args = mock_pipeline.rpush.call_args_list[1] - pause_command_json = second_call_args[0][1] - pause_command_data = json.loads(pause_command_json) - assert pause_command_data["command_type"] == CommandType.PAUSE.value - assert pause_command_data["reason"] == "User requested pause" - - -def test_pause_command(): - """Test that GraphEngine properly handles pause commands.""" - - shared_runtime_state = GraphRuntimeState(variable_pool=VariablePool(), start_at=time.perf_counter()) - - mock_graph = MagicMock(spec=Graph) - mock_graph.nodes = {} - mock_graph.edges = {} - mock_graph.root_node = MagicMock() - mock_graph.root_node.id = "start" - - start_node = StartNode( - id="start", - config={"id": "start", "data": {"title": "start", "variables": []}}, - graph_init_params=GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": UserFrom.ACCOUNT, - "invoke_from": InvokeFrom.DEBUGGER, - } - }, - call_depth=0, - ), - graph_runtime_state=shared_runtime_state, - ) - mock_graph.nodes["start"] = start_node - - mock_graph.get_outgoing_edges = MagicMock(return_value=[]) - mock_graph.get_incoming_edges = MagicMock(return_value=[]) - - command_channel = InMemoryChannel() - - engine = GraphEngine( - workflow_id="test_workflow", - graph=mock_graph, - graph_runtime_state=shared_runtime_state, - command_channel=command_channel, - config=GraphEngineConfig(), - ) - - pause_command = PauseCommand(reason="User requested pause") - command_channel.send_command(pause_command) - - events = list(engine.run()) - - assert any(isinstance(e, GraphRunStartedEvent) for e in events) - pause_events = [e for e in events if isinstance(e, GraphRunPausedEvent)] - assert len(pause_events) == 1 - assert pause_events[0].reasons == [SchedulingPause(message="User requested pause")] - - graph_execution = engine.graph_runtime_state.graph_execution - assert graph_execution.pause_reasons == [SchedulingPause(message="User requested pause")] - - -def test_update_variables_command_updates_pool(): - """Test that GraphEngine updates variable pool via update variables command.""" - - shared_runtime_state = GraphRuntimeState(variable_pool=VariablePool(), start_at=time.perf_counter()) - shared_runtime_state.variable_pool.add(("node1", "foo"), "old value") - - mock_graph = MagicMock(spec=Graph) - mock_graph.nodes = {} - mock_graph.edges = {} - mock_graph.root_node = MagicMock() - mock_graph.root_node.id = "start" - - start_node = StartNode( - id="start", - config={"id": "start", "data": {"title": "start", "variables": []}}, - graph_init_params=GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": UserFrom.ACCOUNT, - "invoke_from": InvokeFrom.DEBUGGER, - } - }, - call_depth=0, - ), - graph_runtime_state=shared_runtime_state, - ) - mock_graph.nodes["start"] = start_node - - mock_graph.get_outgoing_edges = MagicMock(return_value=[]) - mock_graph.get_incoming_edges = MagicMock(return_value=[]) - - command_channel = InMemoryChannel() - - engine = GraphEngine( - workflow_id="test_workflow", - graph=mock_graph, - graph_runtime_state=shared_runtime_state, - command_channel=command_channel, - config=GraphEngineConfig(), - ) - - update_command = UpdateVariablesCommand( - updates=[ - VariableUpdate( - value=StringVariable(name="foo", value="new value", selector=["node1", "foo"]), - ), - VariableUpdate( - value=IntegerVariable(name="bar", value=123, selector=["node2", "bar"]), - ), - ] - ) - command_channel.send_command(update_command) - - list(engine.run()) - - updated_existing = shared_runtime_state.variable_pool.get(["node1", "foo"]) - added_new = shared_runtime_state.variable_pool.get(["node2", "bar"]) - - assert updated_existing is not None - assert updated_existing.value == "new value" - assert added_new is not None - assert added_new.value == 123 diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_complex_branch_workflow.py b/api/tests/unit_tests/core/workflow/graph_engine/test_complex_branch_workflow.py deleted file mode 100644 index ba9c502452..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_complex_branch_workflow.py +++ /dev/null @@ -1,134 +0,0 @@ -""" -Test suite for complex branch workflow with parallel execution and conditional routing. - -This test suite validates the behavior of a workflow that: -1. Executes nodes in parallel (IF/ELSE and LLM branches) -2. Routes based on conditional logic (query containing 'hello') -3. Handles multiple answer nodes with different outputs -""" - -from graphon.graph_events import ( - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, -) - -from .test_mock_config import MockConfigBuilder -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -class TestComplexBranchWorkflow: - """Test suite for complex branch workflow with parallel execution.""" - - def setup_method(self): - """Set up test environment before each test method.""" - self.runner = TableTestRunner() - self.fixture_path = "test_complex_branch" - - def test_hello_branch_with_llm(self): - """ - Test when query contains 'hello' - should trigger true branch. - Both IF/ELSE and LLM should execute in parallel. - """ - mock_text_1 = "This is a mocked LLM response for hello world" - test_cases = [ - WorkflowTestCase( - fixture_path=self.fixture_path, - query="hello world", - expected_outputs={ - "answer": f"contains 'hello'{mock_text_1}", - }, - description="Basic hello case with parallel LLM execution", - use_auto_mock=True, - mock_config=(MockConfigBuilder().with_node_output("1755502777322", {"text": mock_text_1}).build()), - ), - WorkflowTestCase( - fixture_path=self.fixture_path, - query="say hello to everyone", - expected_outputs={ - "answer": "contains 'hello'Mocked response for greeting", - }, - description="Hello in middle of sentence", - use_auto_mock=True, - mock_config=( - MockConfigBuilder() - .with_node_output("1755502777322", {"text": "Mocked response for greeting"}) - .build() - ), - ), - ] - - suite_result = self.runner.run_table_tests(test_cases) - - for result in suite_result.results: - assert result.success, f"Test '{result.test_case.description}' failed: {result.error}" - assert result.actual_outputs - assert any(isinstance(event, GraphRunStartedEvent) for event in result.events) - assert any(isinstance(event, GraphRunSucceededEvent) for event in result.events) - - start_index = next( - idx for idx, event in enumerate(result.events) if isinstance(event, GraphRunStartedEvent) - ) - success_index = max( - idx for idx, event in enumerate(result.events) if isinstance(event, GraphRunSucceededEvent) - ) - assert start_index < success_index - - started_node_ids = {event.node_id for event in result.events if isinstance(event, NodeRunStartedEvent)} - assert {"1755502773326", "1755502777322"}.issubset(started_node_ids), ( - f"Branch or LLM nodes missing in events: {started_node_ids}" - ) - - assert any(isinstance(event, NodeRunStreamChunkEvent) for event in result.events), ( - "Expected streaming chunks from LLM execution" - ) - - llm_start_index = next( - idx - for idx, event in enumerate(result.events) - if isinstance(event, NodeRunStartedEvent) and event.node_id == "1755502777322" - ) - assert any( - idx > llm_start_index and isinstance(event, NodeRunStreamChunkEvent) - for idx, event in enumerate(result.events) - ), "Streaming chunks should follow LLM node start" - - def test_non_hello_branch_with_llm(self): - """ - Test when query doesn't contain 'hello' - should trigger false branch. - LLM output should be used as the final answer. - """ - test_cases = [ - WorkflowTestCase( - fixture_path=self.fixture_path, - query="goodbye world", - expected_outputs={ - "answer": "Mocked LLM response for goodbye", - }, - description="Goodbye case - false branch with LLM output", - use_auto_mock=True, - mock_config=( - MockConfigBuilder() - .with_node_output("1755502777322", {"text": "Mocked LLM response for goodbye"}) - .build() - ), - ), - WorkflowTestCase( - fixture_path=self.fixture_path, - query="test message", - expected_outputs={ - "answer": "Mocked response for test", - }, - description="Regular message - false branch", - use_auto_mock=True, - mock_config=( - MockConfigBuilder().with_node_output("1755502777322", {"text": "Mocked response for test"}).build() - ), - ), - ] - - suite_result = self.runner.run_table_tests(test_cases) - - for result in suite_result.results: - assert result.success, f"Test '{result.test_case.description}' failed: {result.error}" diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_conditional_streaming_vs_template_workflow.py b/api/tests/unit_tests/core/workflow/graph_engine/test_conditional_streaming_vs_template_workflow.py deleted file mode 100644 index 3851480731..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_conditional_streaming_vs_template_workflow.py +++ /dev/null @@ -1,220 +0,0 @@ -""" -Test for streaming output workflow behavior. - -This test validates that: -- When blocking == 1: No NodeRunStreamChunkEvent (flow through Template node) -- When blocking != 1: NodeRunStreamChunkEvent present (direct LLM to End output) -""" - -from graphon.enums import BuiltinNodeTypes -from graphon.graph_engine import GraphEngine, GraphEngineConfig -from graphon.graph_engine.command_channels import InMemoryChannel -from graphon.graph_events import ( - GraphRunSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, -) - -from .test_table_runner import TableTestRunner - - -def test_streaming_output_with_blocking_equals_one(): - """ - Test workflow when blocking == 1 (LLM → Template → End). - - Template node doesn't produce streaming output, so no NodeRunStreamChunkEvent should be present. - This test should FAIL according to requirements. - """ - runner = TableTestRunner() - - # Load the workflow configuration - fixture_data = runner.workflow_runner.load_fixture("conditional_streaming_vs_template_workflow") - - # Create graph from fixture with auto-mock enabled - graph, graph_runtime_state = runner.workflow_runner.create_graph_from_fixture( - fixture_data=fixture_data, - inputs={"query": "Hello, how are you?", "blocking": 1}, - use_mock_factory=True, - ) - - # Create and run the engine - engine = GraphEngine( - workflow_id="test_workflow", - graph=graph, - graph_runtime_state=graph_runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig(), - ) - - # Execute the workflow - events = list(engine.run()) - - # Check for successful completion - success_events = [e for e in events if isinstance(e, GraphRunSucceededEvent)] - assert len(success_events) > 0, "Workflow should complete successfully" - - # Check for streaming events - stream_chunk_events = [e for e in events if isinstance(e, NodeRunStreamChunkEvent)] - stream_chunk_count = len(stream_chunk_events) - - # According to requirements, we expect exactly 3 streaming events from the End node - # 1. User query - # 2. Newline - # 3. Template output (which contains the LLM response) - assert stream_chunk_count == 3, f"Expected 3 streaming events when blocking=1, but got {stream_chunk_count}" - - first_chunk, second_chunk, third_chunk = stream_chunk_events[0], stream_chunk_events[1], stream_chunk_events[2] - assert first_chunk.chunk == "Hello, how are you?", ( - f"Expected first chunk to be user input, but got {first_chunk.chunk}" - ) - assert second_chunk.chunk == "\n", f"Expected second chunk to be newline, but got {second_chunk.chunk}" - # Third chunk will be the template output with the mock LLM response - assert isinstance(third_chunk.chunk, str), f"Expected third chunk to be string, but got {type(third_chunk.chunk)}" - - # Find indices of first LLM success event and first stream chunk event - llm2_start_index = next( - ( - i - for i, e in enumerate(events) - if isinstance(e, NodeRunSucceededEvent) and e.node_type == BuiltinNodeTypes.LLM - ), - -1, - ) - first_chunk_index = next( - (i for i, e in enumerate(events) if isinstance(e, NodeRunStreamChunkEvent)), - -1, - ) - - assert first_chunk_index < llm2_start_index, ( - f"Expected first chunk before LLM2 start, but got {first_chunk_index} and {llm2_start_index}" - ) - - # Check that NodeRunStreamChunkEvent contains 'query' should has same id with Start NodeRunStartedEvent - start_node_id = graph.root_node.id - start_events = [e for e in events if isinstance(e, NodeRunStartedEvent) and e.node_id == start_node_id] - assert len(start_events) == 1, f"Expected 1 start event for node {start_node_id}, but got {len(start_events)}" - start_event = start_events[0] - query_chunk_events = [e for e in stream_chunk_events if e.chunk == "Hello, how are you?"] - assert all(e.id == start_event.id for e in query_chunk_events), "Expected all query chunk events to have same id" - - # Check all Template's NodeRunStreamChunkEvent should has same id with Template's NodeRunStartedEvent - start_events = [ - e for e in events if isinstance(e, NodeRunStartedEvent) and e.node_type == BuiltinNodeTypes.TEMPLATE_TRANSFORM - ] - template_chunk_events = [e for e in stream_chunk_events if e.node_type == BuiltinNodeTypes.TEMPLATE_TRANSFORM] - assert len(template_chunk_events) == 1, f"Expected 1 template chunk event, but got {len(template_chunk_events)}" - assert all(e.id in [se.id for se in start_events] for e in template_chunk_events), ( - "Expected all Template chunk events to have same id with Template's NodeRunStartedEvent" - ) - - # Check that NodeRunStreamChunkEvent contains '\n' is from the End node - end_events = [e for e in events if isinstance(e, NodeRunStartedEvent) and e.node_type == BuiltinNodeTypes.END] - assert len(end_events) == 1, f"Expected 1 end event, but got {len(end_events)}" - newline_chunk_events = [e for e in stream_chunk_events if e.chunk == "\n"] - assert len(newline_chunk_events) == 1, f"Expected 1 newline chunk event, but got {len(newline_chunk_events)}" - # The newline chunk should be from the End node (check node_id, not execution id) - assert all(e.node_id == end_events[0].node_id for e in newline_chunk_events), ( - "Expected all newline chunk events to be from End node" - ) - - -def test_streaming_output_with_blocking_not_equals_one(): - """ - Test workflow when blocking != 1 (LLM → End directly). - - End node should produce streaming output with NodeRunStreamChunkEvent. - This test should PASS according to requirements. - """ - runner = TableTestRunner() - - # Load the workflow configuration - fixture_data = runner.workflow_runner.load_fixture("conditional_streaming_vs_template_workflow") - - # Create graph from fixture with auto-mock enabled - graph, graph_runtime_state = runner.workflow_runner.create_graph_from_fixture( - fixture_data=fixture_data, - inputs={"query": "Hello, how are you?", "blocking": 2}, - use_mock_factory=True, - ) - - # Create and run the engine - engine = GraphEngine( - workflow_id="test_workflow", - graph=graph, - graph_runtime_state=graph_runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig(), - ) - - # Execute the workflow - events = list(engine.run()) - - # Check for successful completion - success_events = [e for e in events if isinstance(e, GraphRunSucceededEvent)] - assert len(success_events) > 0, "Workflow should complete successfully" - - # Check for streaming events - expecting streaming events - stream_chunk_events = [e for e in events if isinstance(e, NodeRunStreamChunkEvent)] - stream_chunk_count = len(stream_chunk_events) - - # This assertion should PASS according to requirements - assert stream_chunk_count > 0, f"Expected streaming events when blocking!=1, but got {stream_chunk_count}" - - # We should have at least 2 chunks (query and newline) - assert stream_chunk_count >= 2, f"Expected at least 2 streaming events, but got {stream_chunk_count}" - - first_chunk, second_chunk = stream_chunk_events[0], stream_chunk_events[1] - assert first_chunk.chunk == "Hello, how are you?", ( - f"Expected first chunk to be user input, but got {first_chunk.chunk}" - ) - assert second_chunk.chunk == "\n", f"Expected second chunk to be newline, but got {second_chunk.chunk}" - - # Find indices of first LLM success event and first stream chunk event - llm2_start_index = next( - ( - i - for i, e in enumerate(events) - if isinstance(e, NodeRunSucceededEvent) and e.node_type == BuiltinNodeTypes.LLM - ), - -1, - ) - first_chunk_index = next( - (i for i, e in enumerate(events) if isinstance(e, NodeRunStreamChunkEvent)), - -1, - ) - - assert first_chunk_index < llm2_start_index, ( - f"Expected first chunk before LLM2 start, but got {first_chunk_index} and {llm2_start_index}" - ) - - # With auto-mock, the LLM will produce mock responses - just verify we have streaming chunks - # and they are strings - for chunk_event in stream_chunk_events[2:]: - assert isinstance(chunk_event.chunk, str), f"Expected chunk to be string, but got {type(chunk_event.chunk)}" - - # Check that NodeRunStreamChunkEvent contains 'query' should has same id with Start NodeRunStartedEvent - start_node_id = graph.root_node.id - start_events = [e for e in events if isinstance(e, NodeRunStartedEvent) and e.node_id == start_node_id] - assert len(start_events) == 1, f"Expected 1 start event for node {start_node_id}, but got {len(start_events)}" - start_event = start_events[0] - query_chunk_events = [e for e in stream_chunk_events if e.chunk == "Hello, how are you?"] - assert all(e.id == start_event.id for e in query_chunk_events), "Expected all query chunk events to have same id" - - # Check all LLM's NodeRunStreamChunkEvent should be from LLM nodes - start_events = [e for e in events if isinstance(e, NodeRunStartedEvent) and e.node_type == BuiltinNodeTypes.LLM] - llm_chunk_events = [e for e in stream_chunk_events if e.node_type == BuiltinNodeTypes.LLM] - llm_node_ids = {se.node_id for se in start_events} - assert all(e.node_id in llm_node_ids for e in llm_chunk_events), ( - "Expected all LLM chunk events to be from LLM nodes" - ) - - # Check that NodeRunStreamChunkEvent contains '\n' is from the End node - end_events = [e for e in events if isinstance(e, NodeRunStartedEvent) and e.node_type == BuiltinNodeTypes.END] - assert len(end_events) == 1, f"Expected 1 end event, but got {len(end_events)}" - newline_chunk_events = [e for e in stream_chunk_events if e.chunk == "\n"] - assert len(newline_chunk_events) == 1, f"Expected 1 newline chunk event, but got {len(newline_chunk_events)}" - # The newline chunk should be from the End node (check node_id, not execution id) - assert all(e.node_id == end_events[0].node_id for e in newline_chunk_events), ( - "Expected all newline chunk events to be from End node" - ) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_database_utils.py b/api/tests/unit_tests/core/workflow/graph_engine/test_database_utils.py deleted file mode 100644 index ae7dd48bb1..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_database_utils.py +++ /dev/null @@ -1,46 +0,0 @@ -""" -Utilities for detecting if database service is available for workflow tests. -""" - -import psycopg2 -import pytest - -from configs import dify_config - - -def is_database_available() -> bool: - """ - Check if the database service is available by attempting to connect to it. - - Returns: - True if database is available, False otherwise. - """ - try: - # Try to establish a database connection using a context manager - with psycopg2.connect( - host=dify_config.DB_HOST, - port=dify_config.DB_PORT, - database=dify_config.DB_DATABASE, - user=dify_config.DB_USERNAME, - password=dify_config.DB_PASSWORD, - connect_timeout=2, # 2 second timeout - ) as conn: - pass # Connection established and will be closed automatically - return True - except (psycopg2.OperationalError, psycopg2.Error): - return False - - -def skip_if_database_unavailable(): - """ - Pytest skip decorator that skips tests when database service is unavailable. - - Usage: - @skip_if_database_unavailable() - def test_my_workflow(): - ... - """ - return pytest.mark.skipif( - not is_database_available(), - reason="Database service is not available (connection refused or authentication failed)", - ) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_dispatcher_pause_drain.py b/api/tests/unit_tests/core/workflow/graph_engine/test_dispatcher_pause_drain.py deleted file mode 100644 index 3ee34e86c6..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_dispatcher_pause_drain.py +++ /dev/null @@ -1,72 +0,0 @@ -import queue -from datetime import datetime - -from graphon.enums import BuiltinNodeTypes, WorkflowNodeExecutionStatus -from graphon.graph_engine.orchestration.dispatcher import Dispatcher -from graphon.graph_events import NodeRunSucceededEvent -from graphon.node_events import NodeRunResult - - -class StubExecutionCoordinator: - def __init__(self, paused: bool) -> None: - self._paused = paused - self.mark_complete_called = False - self.failed_error: Exception | None = None - - @property - def aborted(self) -> bool: - return False - - @property - def paused(self) -> bool: - return self._paused - - @property - def execution_complete(self) -> bool: - return False - - def check_scaling(self) -> None: - return None - - def process_commands(self) -> None: - return None - - def mark_complete(self) -> None: - self.mark_complete_called = True - - def mark_failed(self, error: Exception) -> None: - self.failed_error = error - - -class StubEventHandler: - def __init__(self) -> None: - self.events: list[object] = [] - - def dispatch(self, event: object) -> None: - self.events.append(event) - - -def test_dispatcher_drains_events_when_paused() -> None: - event_queue: queue.Queue = queue.Queue() - event = NodeRunSucceededEvent( - id="exec-1", - node_id="node-1", - node_type=BuiltinNodeTypes.START, - start_at=datetime.utcnow(), - node_run_result=NodeRunResult(status=WorkflowNodeExecutionStatus.SUCCEEDED), - ) - event_queue.put(event) - - handler = StubEventHandler() - coordinator = StubExecutionCoordinator(paused=True) - dispatcher = Dispatcher( - event_queue=event_queue, - event_handler=handler, - execution_coordinator=coordinator, - event_emitter=None, - ) - - dispatcher._dispatcher_loop() - - assert handler.events == [event] - assert coordinator.mark_complete_called is True diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_end_node_without_value_type.py b/api/tests/unit_tests/core/workflow/graph_engine/test_end_node_without_value_type.py deleted file mode 100644 index ada55f3dc5..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_end_node_without_value_type.py +++ /dev/null @@ -1,60 +0,0 @@ -""" -Test case for end node without value_type field (backward compatibility). - -This test validates that end nodes work correctly even when the value_type -field is missing from the output configuration, ensuring backward compatibility -with older workflow definitions. -""" - -from graphon.graph_events import ( - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, -) - -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def test_end_node_without_value_type_field(): - """ - Test that end node works without explicit value_type field. - - The fixture implements a simple workflow that: - 1. Takes a query input from start node - 2. Passes it directly to end node - 3. End node outputs the value without specifying value_type - 4. Should correctly infer the type and output the value - - This ensures backward compatibility with workflow definitions - created before value_type became a required field. - """ - fixture_name = "end_node_without_value_type_field_workflow" - - case = WorkflowTestCase( - fixture_path=fixture_name, - inputs={"query": "test query"}, - expected_outputs={"query": "test query"}, - expected_event_sequence=[ - # Graph start - GraphRunStartedEvent, - # Start node - NodeRunStartedEvent, - NodeRunStreamChunkEvent, # Start node streams the input value - NodeRunSucceededEvent, - # End node - NodeRunStartedEvent, - NodeRunSucceededEvent, - # Graph end - GraphRunSucceededEvent, - ], - description="End node without value_type field should work correctly", - ) - - runner = TableTestRunner() - result = runner.run_test_case(case) - assert result.success, f"Test failed: {result.error}" - assert result.actual_outputs == {"query": "test query"}, ( - f"Expected output to be {{'query': 'test query'}}, got {result.actual_outputs}" - ) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_execution_coordinator.py b/api/tests/unit_tests/core/workflow/graph_engine/test_execution_coordinator.py deleted file mode 100644 index 95a94110d2..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_execution_coordinator.py +++ /dev/null @@ -1,62 +0,0 @@ -"""Unit tests for the execution coordinator orchestration logic.""" - -from unittest.mock import MagicMock - -import pytest - -from graphon.graph_engine.command_processing.command_processor import CommandProcessor -from graphon.graph_engine.domain.graph_execution import GraphExecution -from graphon.graph_engine.graph_state_manager import GraphStateManager -from graphon.graph_engine.orchestration.execution_coordinator import ExecutionCoordinator -from graphon.graph_engine.worker_management.worker_pool import WorkerPool - - -def _build_coordinator(graph_execution: GraphExecution) -> tuple[ExecutionCoordinator, MagicMock, MagicMock]: - command_processor = MagicMock(spec=CommandProcessor) - state_manager = MagicMock(spec=GraphStateManager) - worker_pool = MagicMock(spec=WorkerPool) - - coordinator = ExecutionCoordinator( - graph_execution=graph_execution, - state_manager=state_manager, - command_processor=command_processor, - worker_pool=worker_pool, - ) - return coordinator, state_manager, worker_pool - - -def test_handle_pause_stops_workers_and_clears_state() -> None: - """Paused execution should stop workers and clear executing state.""" - graph_execution = GraphExecution(workflow_id="workflow") - graph_execution.start() - graph_execution.pause("Awaiting human input") - - coordinator, state_manager, worker_pool = _build_coordinator(graph_execution) - - coordinator.handle_pause_if_needed() - - worker_pool.stop.assert_called_once_with() - state_manager.clear_executing.assert_called_once_with() - - -def test_handle_pause_noop_when_execution_running() -> None: - """Running execution should not trigger pause handling.""" - graph_execution = GraphExecution(workflow_id="workflow") - graph_execution.start() - - coordinator, state_manager, worker_pool = _build_coordinator(graph_execution) - - coordinator.handle_pause_if_needed() - - worker_pool.stop.assert_not_called() - state_manager.clear_executing.assert_not_called() - - -def test_has_executing_nodes_requires_pause() -> None: - graph_execution = GraphExecution(workflow_id="workflow") - graph_execution.start() - - coordinator, _, _ = _build_coordinator(graph_execution) - - with pytest.raises(AssertionError): - coordinator.has_executing_nodes() diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_graph_engine.py b/api/tests/unit_tests/core/workflow/graph_engine/test_graph_engine.py deleted file mode 100644 index 51ece26d49..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_graph_engine.py +++ /dev/null @@ -1,770 +0,0 @@ -""" -Table-driven test framework for GraphEngine workflows. - -This file contains property-based tests and specific workflow tests. -The core test framework is in test_table_runner.py. -""" - -import time - -from hypothesis import HealthCheck, given, settings -from hypothesis import strategies as st - -from graphon.entities.base_node_data import DefaultValue, DefaultValueType -from graphon.enums import ErrorStrategy -from graphon.graph_engine import GraphEngine, GraphEngineConfig -from graphon.graph_engine.command_channels import InMemoryChannel -from graphon.graph_events import ( - GraphRunPartialSucceededEvent, - GraphRunStartedEvent, - GraphRunSucceededEvent, -) - -# Import the test framework from the new module -from .test_mock_config import MockConfigBuilder -from .test_table_runner import TableTestRunner, WorkflowRunner, WorkflowTestCase - - -# Property-based fuzzing tests for the start-end workflow -@given(query_input=st.text()) -@settings(max_examples=50, deadline=30000, suppress_health_check=[HealthCheck.too_slow]) -def test_echo_workflow_property_basic_strings(query_input): - """ - Property-based test: Echo workflow should return exactly what was input. - - This tests the fundamental property that for any string input, - the start-end workflow should echo it back unchanged. - """ - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": query_input}, - expected_outputs={"query": query_input}, - description=f"Fuzzing test with input: {repr(query_input)[:50]}...", - ) - - result = runner.run_test_case(test_case) - - # Property: The workflow should complete successfully - assert result.success, f"Workflow failed with input {repr(query_input)}: {result.error}" - - # Property: Output should equal input (echo behavior) - assert result.actual_outputs - assert result.actual_outputs == {"query": query_input}, ( - f"Echo property violated. Input: {repr(query_input)}, " - f"Expected: {repr(query_input)}, Got: {repr(result.actual_outputs.get('query'))}" - ) - - -@given(query_input=st.text(min_size=0, max_size=1000)) -@settings(max_examples=30, deadline=20000) -def test_echo_workflow_property_bounded_strings(query_input): - """ - Property-based test with size bounds to test edge cases more efficiently. - - Tests strings up to 1000 characters to balance thoroughness with performance. - """ - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": query_input}, - expected_outputs={"query": query_input}, - description=f"Bounded fuzzing test (len={len(query_input)})", - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Workflow failed with bounded input: {result.error}" - assert result.actual_outputs == {"query": query_input} - - -@given( - query_input=st.one_of( - st.text(alphabet=st.characters(whitelist_categories=["Lu", "Ll", "Nd", "Po"])), # Letters, digits, punctuation - st.text(alphabet="🎉🌟💫⭐🔥💯🚀🎯"), # Emojis - st.text(alphabet="αβγδεζηθικλμνξοπρστυφχψω"), # Greek letters - st.text(alphabet="中文测试한국어日本語العربية"), # International characters - st.just(""), # Empty string - st.just(" " * 100), # Whitespace only - st.just("\n\t\r\f\v"), # Special whitespace chars - st.just('{"json": "like", "data": [1, 2, 3]}'), # JSON-like string - st.just("SELECT * FROM users; DROP TABLE users;--"), # SQL injection attempt - st.just(""), # XSS attempt - st.just("../../etc/passwd"), # Path traversal attempt - ) -) -@settings(max_examples=40, deadline=25000) -def test_echo_workflow_property_diverse_inputs(query_input): - """ - Property-based test with diverse input types including edge cases and security payloads. - - Tests various categories of potentially problematic inputs: - - Unicode characters from different languages - - Emojis and special symbols - - Whitespace variations - - Malicious payloads (SQL injection, XSS, path traversal) - - JSON-like structures - """ - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": query_input}, - expected_outputs={"query": query_input}, - description=f"Diverse input fuzzing: {type(query_input).__name__}", - ) - - result = runner.run_test_case(test_case) - - # Property: System should handle all inputs gracefully (no crashes) - assert result.success, f"Workflow failed with diverse input {repr(query_input)}: {result.error}" - - # Property: Echo behavior must be preserved regardless of input type - assert result.actual_outputs == {"query": query_input} - - -@given(query_input=st.text(min_size=1000, max_size=5000)) -@settings(max_examples=10, deadline=60000) -def test_echo_workflow_property_large_inputs(query_input): - """ - Property-based test for large inputs to test memory and performance boundaries. - - Tests the system's ability to handle larger payloads efficiently. - """ - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": query_input}, - expected_outputs={"query": query_input}, - description=f"Large input test (size: {len(query_input)} chars)", - timeout=45.0, # Longer timeout for large inputs - ) - - start_time = time.perf_counter() - result = runner.run_test_case(test_case) - execution_time = time.perf_counter() - start_time - - # Property: Large inputs should still work - assert result.success, f"Large input workflow failed: {result.error}" - - # Property: Echo behavior preserved for large inputs - assert result.actual_outputs == {"query": query_input} - - # Property: Performance should be reasonable even for large inputs - assert execution_time < 30.0, f"Large input took too long: {execution_time:.2f}s" - - -def test_echo_workflow_robustness_smoke_test(): - """ - Smoke test to ensure the basic workflow functionality works before fuzzing. - - This test uses a simple, known-good input to verify the test infrastructure - is working correctly before running the fuzzing tests. - """ - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": "smoke test"}, - expected_outputs={"query": "smoke test"}, - description="Smoke test for basic functionality", - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Smoke test failed: {result.error}" - assert result.actual_outputs == {"query": "smoke test"} - assert result.execution_time > 0 - - -def test_if_else_workflow_true_branch(): - """ - Test if-else workflow when input contains 'hello' (true branch). - - Should output {"true": input_query} when query contains "hello". - """ - runner = TableTestRunner() - - test_cases = [ - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "hello world"}, - expected_outputs={"true": "hello world"}, - description="Basic hello case", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "say hello to everyone"}, - expected_outputs={"true": "say hello to everyone"}, - description="Hello in middle of sentence", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "hello"}, - expected_outputs={"true": "hello"}, - description="Just hello", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "hellohello"}, - expected_outputs={"true": "hellohello"}, - description="Multiple hello occurrences", - ), - ] - - suite_result = runner.run_table_tests(test_cases) - - for result in suite_result.results: - assert result.success, f"Test case '{result.test_case.description}' failed: {result.error}" - # Check that outputs contain ONLY the expected key (true branch) - assert result.actual_outputs == result.test_case.expected_outputs, ( - f"Expected only 'true' key in outputs for {result.test_case.description}. " - f"Expected: {result.test_case.expected_outputs}, Got: {result.actual_outputs}" - ) - - -def test_if_else_workflow_false_branch(): - """ - Test if-else workflow when input does not contain 'hello' (false branch). - - Should output {"false": input_query} when query does not contain "hello". - """ - runner = TableTestRunner() - - test_cases = [ - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "goodbye world"}, - expected_outputs={"false": "goodbye world"}, - description="Basic goodbye case", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "hi there"}, - expected_outputs={"false": "hi there"}, - description="Simple greeting without hello", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": ""}, - expected_outputs={"false": ""}, - description="Empty string", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "test message"}, - expected_outputs={"false": "test message"}, - description="Regular message", - ), - ] - - suite_result = runner.run_table_tests(test_cases) - - for result in suite_result.results: - assert result.success, f"Test case '{result.test_case.description}' failed: {result.error}" - # Check that outputs contain ONLY the expected key (false branch) - assert result.actual_outputs == result.test_case.expected_outputs, ( - f"Expected only 'false' key in outputs for {result.test_case.description}. " - f"Expected: {result.test_case.expected_outputs}, Got: {result.actual_outputs}" - ) - - -def test_if_else_workflow_edge_cases(): - """ - Test if-else workflow edge cases and case sensitivity. - - Tests various edge cases including case sensitivity, similar words, etc. - """ - runner = TableTestRunner() - - test_cases = [ - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "Hello world"}, - expected_outputs={"false": "Hello world"}, - description="Capitalized Hello (case sensitive test)", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "HELLO"}, - expected_outputs={"false": "HELLO"}, - description="All caps HELLO (case sensitive test)", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "helllo"}, - expected_outputs={"false": "helllo"}, - description="Typo: helllo (with extra l)", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "helo"}, - expected_outputs={"false": "helo"}, - description="Typo: helo (missing l)", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "hello123"}, - expected_outputs={"true": "hello123"}, - description="Hello with numbers", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": "hello!@#"}, - expected_outputs={"true": "hello!@#"}, - description="Hello with special characters", - ), - WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": " hello "}, - expected_outputs={"true": " hello "}, - description="Hello with surrounding spaces", - ), - ] - - suite_result = runner.run_table_tests(test_cases) - - for result in suite_result.results: - assert result.success, f"Test case '{result.test_case.description}' failed: {result.error}" - # Check that outputs contain ONLY the expected key - assert result.actual_outputs == result.test_case.expected_outputs, ( - f"Expected exact match for {result.test_case.description}. " - f"Expected: {result.test_case.expected_outputs}, Got: {result.actual_outputs}" - ) - - -@given(query_input=st.text()) -@settings(max_examples=50, deadline=30000, suppress_health_check=[HealthCheck.too_slow]) -def test_if_else_workflow_property_basic_strings(query_input): - """ - Property-based test: If-else workflow should output correct branch based on 'hello' content. - - This tests the fundamental property that for any string input: - - If input contains "hello", output should be {"true": input} - - If input doesn't contain "hello", output should be {"false": input} - """ - runner = TableTestRunner() - - # Determine expected output based on whether input contains "hello" - contains_hello = "hello" in query_input - expected_key = "true" if contains_hello else "false" - expected_outputs = {expected_key: query_input} - - test_case = WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": query_input}, - expected_outputs=expected_outputs, - description=f"Property test with input: {repr(query_input)[:50]}...", - ) - - result = runner.run_test_case(test_case) - - # Property: The workflow should complete successfully - assert result.success, f"Workflow failed with input {repr(query_input)}: {result.error}" - - # Property: Output should contain ONLY the expected key with correct value - assert result.actual_outputs == expected_outputs, ( - f"If-else property violated. Input: {repr(query_input)}, " - f"Expected: {expected_outputs}, Got: {result.actual_outputs}" - ) - - -@given(query_input=st.text(min_size=0, max_size=1000)) -@settings(max_examples=30, deadline=20000) -def test_if_else_workflow_property_bounded_strings(query_input): - """ - Property-based test with size bounds for if-else workflow. - - Tests strings up to 1000 characters to balance thoroughness with performance. - """ - runner = TableTestRunner() - - contains_hello = "hello" in query_input - expected_key = "true" if contains_hello else "false" - expected_outputs = {expected_key: query_input} - - test_case = WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": query_input}, - expected_outputs=expected_outputs, - description=f"Bounded if-else test (len={len(query_input)}, contains_hello={contains_hello})", - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Workflow failed with bounded input: {result.error}" - assert result.actual_outputs == expected_outputs - - -@given( - query_input=st.one_of( - st.text(alphabet=st.characters(whitelist_categories=["Lu", "Ll", "Nd", "Po"])), # Letters, digits, punctuation - st.text(alphabet="hello"), # Strings that definitely contain hello - st.text(alphabet="xyz"), # Strings that definitely don't contain hello - st.just("hello world"), # Known true case - st.just("goodbye world"), # Known false case - st.just(""), # Empty string - st.just("Hello"), # Case sensitivity test - st.just("HELLO"), # Case sensitivity test - st.just("hello" * 10), # Multiple hello occurrences - st.just("say hello to everyone"), # Hello in middle - st.text(alphabet="🎉🌟💫⭐🔥💯🚀🎯"), # Emojis - st.text(alphabet="中文测试한국어日本語العربية"), # International characters - ) -) -@settings(max_examples=40, deadline=25000) -def test_if_else_workflow_property_diverse_inputs(query_input): - """ - Property-based test with diverse input types for if-else workflow. - - Tests various categories including: - - Known true/false cases - - Case sensitivity scenarios - - Unicode characters from different languages - - Emojis and special symbols - - Multiple hello occurrences - """ - runner = TableTestRunner() - - contains_hello = "hello" in query_input - expected_key = "true" if contains_hello else "false" - expected_outputs = {expected_key: query_input} - - test_case = WorkflowTestCase( - fixture_path="conditional_hello_branching_workflow", - inputs={"query": query_input}, - expected_outputs=expected_outputs, - description=f"Diverse if-else test: {type(query_input).__name__} (contains_hello={contains_hello})", - ) - - result = runner.run_test_case(test_case) - - # Property: System should handle all inputs gracefully (no crashes) - assert result.success, f"Workflow failed with diverse input {repr(query_input)}: {result.error}" - - # Property: Correct branch logic must be preserved regardless of input type - assert result.actual_outputs == expected_outputs, ( - f"Branch logic violated. Input: {repr(query_input)}, " - f"Contains 'hello': {contains_hello}, Expected: {expected_outputs}, Got: {result.actual_outputs}" - ) - - -# Tests for the Layer system -def test_layer_system_basic(): - """Test basic layer functionality with DebugLoggingLayer.""" - from graphon.graph_engine.layers import DebugLoggingLayer - - runner = WorkflowRunner() - - # Load a simple echo workflow - fixture_data = runner.load_fixture("simple_passthrough_workflow") - graph, graph_runtime_state = runner.create_graph_from_fixture(fixture_data, inputs={"query": "test layer system"}) - - # Create engine with layer - engine = GraphEngine( - workflow_id="test_workflow", - graph=graph, - graph_runtime_state=graph_runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig(), - ) - - # Add debug logging layer - debug_layer = DebugLoggingLayer(level="DEBUG", include_inputs=True, include_outputs=True) - engine.layer(debug_layer) - - # Run workflow - events = list(engine.run()) - - # Verify events were generated - assert len(events) > 0 - assert isinstance(events[0], GraphRunStartedEvent) - assert isinstance(events[-1], GraphRunSucceededEvent) - - # Verify layer received context - assert debug_layer.graph_runtime_state is not None - assert debug_layer.command_channel is not None - - # Verify layer tracked execution stats - assert debug_layer.node_count > 0 - assert debug_layer.success_count > 0 - - -def test_layer_chaining(): - """Test chaining multiple layers.""" - from graphon.graph_engine.layers import DebugLoggingLayer, GraphEngineLayer - - # Create a custom test layer - class TestLayer(GraphEngineLayer): - def __init__(self): - super().__init__() - self.events_received = [] - self.graph_started = False - self.graph_ended = False - - def on_graph_start(self): - self.graph_started = True - - def on_event(self, event): - self.events_received.append(event.__class__.__name__) - - def on_graph_end(self, error): - self.graph_ended = True - - runner = WorkflowRunner() - - # Load workflow - fixture_data = runner.load_fixture("simple_passthrough_workflow") - graph, graph_runtime_state = runner.create_graph_from_fixture(fixture_data, inputs={"query": "test chaining"}) - - # Create engine - engine = GraphEngine( - workflow_id="test_workflow", - graph=graph, - graph_runtime_state=graph_runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig(), - ) - - # Chain multiple layers - test_layer = TestLayer() - debug_layer = DebugLoggingLayer(level="INFO") - - engine.layer(test_layer).layer(debug_layer) - - # Run workflow - events = list(engine.run()) - - # Verify both layers received events - assert test_layer.graph_started - assert test_layer.graph_ended - assert len(test_layer.events_received) > 0 - - # Verify debug layer also worked - assert debug_layer.node_count > 0 - - -def test_layer_error_handling(): - """Test that layer errors don't crash the engine.""" - from graphon.graph_engine.layers import GraphEngineLayer - - # Create a layer that throws errors - class FaultyLayer(GraphEngineLayer): - def on_graph_start(self): - raise RuntimeError("Intentional error in on_graph_start") - - def on_event(self, event): - raise RuntimeError("Intentional error in on_event") - - def on_graph_end(self, error): - raise RuntimeError("Intentional error in on_graph_end") - - runner = WorkflowRunner() - - # Load workflow - fixture_data = runner.load_fixture("simple_passthrough_workflow") - graph, graph_runtime_state = runner.create_graph_from_fixture(fixture_data, inputs={"query": "test error handling"}) - - # Create engine with faulty layer - engine = GraphEngine( - workflow_id="test_workflow", - graph=graph, - graph_runtime_state=graph_runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig(), - ) - - # Add faulty layer - engine.layer(FaultyLayer()) - - # Run workflow - should not crash despite layer errors - events = list(engine.run()) - - # Verify workflow still completed successfully - assert len(events) > 0 - assert isinstance(events[-1], GraphRunSucceededEvent) - assert events[-1].outputs == {"query": "test error handling"} - - -def test_event_sequence_validation(): - """Test the new event sequence validation feature.""" - from graphon.graph_events import NodeRunStartedEvent, NodeRunStreamChunkEvent, NodeRunSucceededEvent - - runner = TableTestRunner() - - # Test 1: Successful event sequence validation - test_case_success = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": "test event sequence"}, - expected_outputs={"query": "test event sequence"}, - expected_event_sequence=[ - GraphRunStartedEvent, - NodeRunStartedEvent, # Start node begins - NodeRunStreamChunkEvent, # Start node streaming - NodeRunSucceededEvent, # Start node completes - NodeRunStartedEvent, # End node begins - NodeRunSucceededEvent, # End node completes - GraphRunSucceededEvent, # Graph completes - ], - description="Test with correct event sequence", - ) - - result = runner.run_test_case(test_case_success) - assert result.success, f"Test should pass with correct event sequence. Error: {result.event_mismatch_details}" - assert result.event_sequence_match is True - assert result.event_mismatch_details is None - - # Test 2: Failed event sequence validation - wrong order - test_case_wrong_order = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": "test wrong order"}, - expected_outputs={"query": "test wrong order"}, - expected_event_sequence=[ - GraphRunStartedEvent, - NodeRunSucceededEvent, # Wrong: expecting success before start - NodeRunStreamChunkEvent, - NodeRunStartedEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, - ], - description="Test with incorrect event order", - ) - - result = runner.run_test_case(test_case_wrong_order) - assert not result.success, "Test should fail with incorrect event sequence" - assert result.event_sequence_match is False - assert result.event_mismatch_details is not None - assert "Event mismatch at position" in result.event_mismatch_details - - # Test 3: Failed event sequence validation - wrong count - test_case_wrong_count = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": "test wrong count"}, - expected_outputs={"query": "test wrong count"}, - expected_event_sequence=[ - GraphRunStartedEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, - # Missing the second node's events - GraphRunSucceededEvent, - ], - description="Test with incorrect event count", - ) - - result = runner.run_test_case(test_case_wrong_count) - assert not result.success, "Test should fail with incorrect event count" - assert result.event_sequence_match is False - assert result.event_mismatch_details is not None - assert "Event count mismatch" in result.event_mismatch_details - - # Test 4: No event sequence validation (backward compatibility) - test_case_no_validation = WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": "test no validation"}, - expected_outputs={"query": "test no validation"}, - # No expected_event_sequence provided - description="Test without event sequence validation", - ) - - result = runner.run_test_case(test_case_no_validation) - assert result.success, "Test should pass when no event sequence is provided" - assert result.event_sequence_match is None - assert result.event_mismatch_details is None - - -def test_event_sequence_validation_with_table_tests(): - """Test event sequence validation with table-driven tests.""" - from graphon.graph_events import NodeRunStartedEvent, NodeRunStreamChunkEvent, NodeRunSucceededEvent - - runner = TableTestRunner() - - test_cases = [ - WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": "test1"}, - expected_outputs={"query": "test1"}, - expected_event_sequence=[ - GraphRunStartedEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, - ], - description="Table test 1: Valid sequence", - ), - WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": "test2"}, - expected_outputs={"query": "test2"}, - # No event sequence validation for this test - description="Table test 2: No sequence validation", - ), - WorkflowTestCase( - fixture_path="simple_passthrough_workflow", - inputs={"query": "test3"}, - expected_outputs={"query": "test3"}, - expected_event_sequence=[ - GraphRunStartedEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, - ], - description="Table test 3: Valid sequence", - ), - ] - - suite_result = runner.run_table_tests(test_cases) - - # Check all tests passed - for i, result in enumerate(suite_result.results): - if i == 1: # Test 2 has no event sequence validation - assert result.event_sequence_match is None - else: - assert result.event_sequence_match is True - assert result.success, f"Test {i + 1} failed: {result.event_mismatch_details or result.error}" - - -def test_graph_run_emits_partial_success_when_node_failure_recovered(): - runner = TableTestRunner() - - fixture_data = runner.workflow_runner.load_fixture("basic_chatflow") - mock_config = MockConfigBuilder().with_node_error("llm", "mock llm failure").build() - - graph, graph_runtime_state = runner.workflow_runner.create_graph_from_fixture( - fixture_data=fixture_data, - query="hello", - use_mock_factory=True, - mock_config=mock_config, - ) - - llm_node = graph.nodes["llm"] - base_node_data = llm_node.node_data - base_node_data.error_strategy = ErrorStrategy.DEFAULT_VALUE - base_node_data.default_value = [DefaultValue(key="text", value="fallback response", type=DefaultValueType.STRING)] - - engine = GraphEngine( - workflow_id="test_workflow", - graph=graph, - graph_runtime_state=graph_runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig(), - ) - - events = list(engine.run()) - - assert isinstance(events[-1], GraphRunPartialSucceededEvent) - - partial_event = next(event for event in events if isinstance(event, GraphRunPartialSucceededEvent)) - assert partial_event.exceptions_count == 1 - assert partial_event.outputs.get("answer") == "fallback response" - - assert not any(isinstance(event, GraphRunSucceededEvent) for event in events) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_graph_execution_serialization.py b/api/tests/unit_tests/core/workflow/graph_engine/test_graph_execution_serialization.py deleted file mode 100644 index 348ceb6788..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_graph_execution_serialization.py +++ /dev/null @@ -1,196 +0,0 @@ -"""Unit tests for GraphExecution serialization helpers.""" - -from __future__ import annotations - -import json -from collections import deque -from unittest.mock import MagicMock - -from graphon.enums import BuiltinNodeTypes, NodeExecutionType, NodeState -from graphon.graph_engine.domain import GraphExecution -from graphon.graph_engine.response_coordinator import ResponseStreamCoordinator -from graphon.graph_engine.response_coordinator.path import Path -from graphon.graph_engine.response_coordinator.session import ResponseSession -from graphon.graph_events import NodeRunStreamChunkEvent -from graphon.nodes.base.template import Template, TextSegment, VariableSegment - - -class CustomGraphExecutionError(Exception): - """Custom exception used to verify error serialization.""" - - -def test_graph_execution_serialization_round_trip() -> None: - """GraphExecution serialization restores full aggregate state.""" - # Arrange - execution = GraphExecution(workflow_id="wf-1") - execution.start() - node_a = execution.get_or_create_node_execution("node-a") - node_a.mark_started(execution_id="exec-1") - node_a.increment_retry() - node_a.mark_failed("boom") - node_b = execution.get_or_create_node_execution("node-b") - node_b.mark_skipped() - execution.fail(CustomGraphExecutionError("serialization failure")) - - # Act - serialized = execution.dumps() - payload = json.loads(serialized) - restored = GraphExecution(workflow_id="wf-1") - restored.loads(serialized) - - # Assert - assert payload["type"] == "GraphExecution" - assert payload["version"] == "1.0" - assert restored.workflow_id == "wf-1" - assert restored.started is True - assert restored.completed is True - assert restored.aborted is False - assert isinstance(restored.error, CustomGraphExecutionError) - assert str(restored.error) == "serialization failure" - assert set(restored.node_executions) == {"node-a", "node-b"} - restored_node_a = restored.node_executions["node-a"] - assert restored_node_a.state is NodeState.TAKEN - assert restored_node_a.retry_count == 1 - assert restored_node_a.execution_id == "exec-1" - assert restored_node_a.error == "boom" - restored_node_b = restored.node_executions["node-b"] - assert restored_node_b.state is NodeState.SKIPPED - assert restored_node_b.retry_count == 0 - assert restored_node_b.execution_id is None - assert restored_node_b.error is None - - -def test_graph_execution_loads_replaces_existing_state() -> None: - """loads replaces existing runtime data with serialized snapshot.""" - # Arrange - source = GraphExecution(workflow_id="wf-2") - source.start() - source_node = source.get_or_create_node_execution("node-source") - source_node.mark_taken() - serialized = source.dumps() - - target = GraphExecution(workflow_id="wf-2") - target.start() - target.abort("pre-existing abort") - temp_node = target.get_or_create_node_execution("node-temp") - temp_node.increment_retry() - temp_node.mark_failed("temp error") - - # Act - target.loads(serialized) - - # Assert - assert target.aborted is False - assert target.error is None - assert target.started is True - assert target.completed is False - assert set(target.node_executions) == {"node-source"} - restored_node = target.node_executions["node-source"] - assert restored_node.state is NodeState.TAKEN - assert restored_node.retry_count == 0 - assert restored_node.execution_id is None - assert restored_node.error is None - - -def test_response_stream_coordinator_serialization_round_trip(monkeypatch) -> None: - """ResponseStreamCoordinator serialization restores coordinator internals.""" - - template_main = Template(segments=[TextSegment(text="Hi "), VariableSegment(selector=["node-source", "text"])]) - template_secondary = Template(segments=[TextSegment(text="secondary")]) - - class DummyNode: - def __init__(self, node_id: str, template: Template, execution_type: NodeExecutionType) -> None: - self.id = node_id - self.node_type = ( - BuiltinNodeTypes.ANSWER if execution_type == NodeExecutionType.RESPONSE else BuiltinNodeTypes.LLM - ) - self.execution_type = execution_type - self.state = NodeState.UNKNOWN - self.title = node_id - self.template = template - - def blocks_variable_output(self, *_args) -> bool: - return False - - response_node1 = DummyNode("response-1", template_main, NodeExecutionType.RESPONSE) - response_node2 = DummyNode("response-2", template_main, NodeExecutionType.RESPONSE) - response_node3 = DummyNode("response-3", template_main, NodeExecutionType.RESPONSE) - source_node = DummyNode("node-source", template_secondary, NodeExecutionType.EXECUTABLE) - - class DummyGraph: - def __init__(self) -> None: - self.nodes = { - response_node1.id: response_node1, - response_node2.id: response_node2, - response_node3.id: response_node3, - source_node.id: source_node, - } - self.edges: dict[str, object] = {} - self.root_node = response_node1 - - def get_outgoing_edges(self, _node_id: str): # pragma: no cover - not exercised - return [] - - def get_incoming_edges(self, _node_id: str): # pragma: no cover - not exercised - return [] - - graph = DummyGraph() - - def fake_from_node(cls, node: DummyNode) -> ResponseSession: - return ResponseSession(node_id=node.id, template=node.template) - - monkeypatch.setattr(ResponseSession, "from_node", classmethod(fake_from_node)) - - coordinator = ResponseStreamCoordinator(variable_pool=MagicMock(), graph=graph) # type: ignore[arg-type] - coordinator._response_nodes = {"response-1", "response-2", "response-3"} - coordinator._paths_maps = { - "response-1": [Path(edges=["edge-1"])], - "response-2": [Path(edges=[])], - "response-3": [Path(edges=["edge-2", "edge-3"])], - } - - active_session = ResponseSession(node_id="response-1", template=response_node1.template) - active_session.index = 1 - coordinator._active_session = active_session - waiting_session = ResponseSession(node_id="response-2", template=response_node2.template) - coordinator._waiting_sessions = deque([waiting_session]) - pending_session = ResponseSession(node_id="response-3", template=response_node3.template) - pending_session.index = 2 - coordinator._response_sessions = {"response-3": pending_session} - - coordinator._node_execution_ids = {"response-1": "exec-1"} - event = NodeRunStreamChunkEvent( - id="exec-1", - node_id="response-1", - node_type=BuiltinNodeTypes.ANSWER, - selector=["node-source", "text"], - chunk="chunk-1", - is_final=False, - ) - coordinator._stream_buffers = {("node-source", "text"): [event]} - coordinator._stream_positions = {("node-source", "text"): 1} - coordinator._closed_streams = {("node-source", "text")} - - serialized = coordinator.dumps() - - restored = ResponseStreamCoordinator(variable_pool=MagicMock(), graph=graph) # type: ignore[arg-type] - monkeypatch.setattr(ResponseSession, "from_node", classmethod(fake_from_node)) - restored.loads(serialized) - - assert restored._response_nodes == {"response-1", "response-2", "response-3"} - assert restored._paths_maps["response-1"][0].edges == ["edge-1"] - assert restored._active_session is not None - assert restored._active_session.node_id == "response-1" - assert restored._active_session.index == 1 - waiting_restored = list(restored._waiting_sessions) - assert len(waiting_restored) == 1 - assert waiting_restored[0].node_id == "response-2" - assert waiting_restored[0].index == 0 - assert set(restored._response_sessions) == {"response-3"} - assert restored._response_sessions["response-3"].index == 2 - assert restored._node_execution_ids == {"response-1": "exec-1"} - assert ("node-source", "text") in restored._stream_buffers - restored_event = restored._stream_buffers[("node-source", "text")][0] - assert restored_event.chunk == "chunk-1" - assert restored._stream_positions[("node-source", "text")] == 1 - assert ("node-source", "text") in restored._closed_streams diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_graph_state_snapshot.py b/api/tests/unit_tests/core/workflow/graph_engine/test_graph_state_snapshot.py deleted file mode 100644 index a6417822d2..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_graph_state_snapshot.py +++ /dev/null @@ -1,190 +0,0 @@ -import time -from collections.abc import Mapping - -from core.workflow.system_variables import build_system_variables -from graphon.entities import GraphInitParams -from graphon.enums import NodeState -from graphon.graph import Graph -from graphon.graph_engine.graph_state_manager import GraphStateManager -from graphon.graph_engine.ready_queue import InMemoryReadyQueue -from graphon.model_runtime.entities.llm_entities import LLMMode -from graphon.model_runtime.entities.message_entities import PromptMessageRole -from graphon.nodes.end.end_node import EndNode -from graphon.nodes.end.entities import EndNodeData -from graphon.nodes.llm.entities import ( - ContextConfig, - LLMNodeChatModelMessage, - LLMNodeData, - ModelConfig, - VisionConfig, -) -from graphon.nodes.start.entities import StartNodeData -from graphon.nodes.start.start_node import StartNode -from graphon.runtime import GraphRuntimeState, VariablePool -from tests.workflow_test_utils import build_test_graph_init_params - -from .test_mock_config import MockConfig -from .test_mock_nodes import MockLLMNode - - -def _build_runtime_state() -> GraphRuntimeState: - variable_pool = VariablePool( - system_variables=build_system_variables( - user_id="user", - app_id="app", - workflow_id="workflow", - workflow_execution_id="exec-1", - ), - user_inputs={}, - conversation_variables=[], - ) - return GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - - -def _build_llm_node( - *, - node_id: str, - runtime_state: GraphRuntimeState, - graph_init_params: GraphInitParams, - mock_config: MockConfig, -) -> MockLLMNode: - llm_data = LLMNodeData( - title=f"LLM {node_id}", - model=ModelConfig(provider="openai", name="gpt-3.5-turbo", mode=LLMMode.CHAT, completion_params={}), - prompt_template=[ - LLMNodeChatModelMessage( - text=f"Prompt {node_id}", - role=PromptMessageRole.USER, - edition_type="basic", - ) - ], - context=ContextConfig(enabled=False, variable_selector=None), - vision=VisionConfig(enabled=False), - reasoning_format="tagged", - ) - llm_config = {"id": node_id, "data": llm_data.model_dump()} - return MockLLMNode( - id=llm_config["id"], - config=llm_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - mock_config=mock_config, - ) - - -def _build_graph(runtime_state: GraphRuntimeState) -> Graph: - graph_config: dict[str, object] = {"nodes": [], "edges": []} - graph_init_params = build_test_graph_init_params( - workflow_id="workflow", - graph_config=graph_config, - tenant_id="tenant", - app_id="app", - user_id="user", - user_from="account", - invoke_from="debugger", - call_depth=0, - ) - - start_config = {"id": "start", "data": StartNodeData(title="Start", variables=[]).model_dump()} - start_node = StartNode( - id=start_config["id"], - config=start_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - ) - - mock_config = MockConfig() - llm_a = _build_llm_node( - node_id="llm_a", - runtime_state=runtime_state, - graph_init_params=graph_init_params, - mock_config=mock_config, - ) - llm_b = _build_llm_node( - node_id="llm_b", - runtime_state=runtime_state, - graph_init_params=graph_init_params, - mock_config=mock_config, - ) - - end_data = EndNodeData(title="End", outputs=[], desc=None) - end_config = {"id": "end", "data": end_data.model_dump()} - end_node = EndNode( - id=end_config["id"], - config=end_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - ) - - builder = ( - Graph.new() - .add_root(start_node) - .add_node(llm_a, from_node_id="start") - .add_node(llm_b, from_node_id="start") - .add_node(end_node, from_node_id="llm_a") - ) - return builder.connect(tail="llm_b", head="end").build() - - -def _edge_state_map(graph: Graph) -> Mapping[tuple[str, str, str], NodeState]: - return {(edge.tail, edge.head, edge.source_handle): edge.state for edge in graph.edges.values()} - - -def test_runtime_state_snapshot_restores_graph_states() -> None: - runtime_state = _build_runtime_state() - graph = _build_graph(runtime_state) - runtime_state.attach_graph(graph) - - graph.nodes["llm_a"].state = NodeState.TAKEN - graph.nodes["llm_b"].state = NodeState.SKIPPED - - for edge in graph.edges.values(): - if edge.tail == "start" and edge.head == "llm_a": - edge.state = NodeState.TAKEN - elif edge.tail == "start" and edge.head == "llm_b": - edge.state = NodeState.SKIPPED - elif edge.head == "end" and edge.tail == "llm_a": - edge.state = NodeState.TAKEN - elif edge.head == "end" and edge.tail == "llm_b": - edge.state = NodeState.SKIPPED - - snapshot = runtime_state.dumps() - - resumed_state = GraphRuntimeState.from_snapshot(snapshot) - resumed_graph = _build_graph(resumed_state) - resumed_state.attach_graph(resumed_graph) - - assert resumed_graph.nodes["llm_a"].state == NodeState.TAKEN - assert resumed_graph.nodes["llm_b"].state == NodeState.SKIPPED - assert _edge_state_map(resumed_graph) == _edge_state_map(graph) - - -def test_join_readiness_uses_restored_edge_states() -> None: - runtime_state = _build_runtime_state() - graph = _build_graph(runtime_state) - runtime_state.attach_graph(graph) - - ready_queue = InMemoryReadyQueue() - state_manager = GraphStateManager(graph, ready_queue) - - for edge in graph.get_incoming_edges("end"): - if edge.tail == "llm_a": - edge.state = NodeState.TAKEN - if edge.tail == "llm_b": - edge.state = NodeState.UNKNOWN - - assert state_manager.is_node_ready("end") is False - - for edge in graph.get_incoming_edges("end"): - if edge.tail == "llm_b": - edge.state = NodeState.TAKEN - - assert state_manager.is_node_ready("end") is True - - snapshot = runtime_state.dumps() - resumed_state = GraphRuntimeState.from_snapshot(snapshot) - resumed_graph = _build_graph(resumed_state) - resumed_state.attach_graph(resumed_graph) - - resumed_state_manager = GraphStateManager(resumed_graph, InMemoryReadyQueue()) - assert resumed_state_manager.is_node_ready("end") is True diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_human_input_pause_multi_branch.py b/api/tests/unit_tests/core/workflow/graph_engine/test_human_input_pause_multi_branch.py deleted file mode 100644 index ca9a929591..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_human_input_pause_multi_branch.py +++ /dev/null @@ -1,389 +0,0 @@ -import datetime -import time -from collections.abc import Iterable -from unittest import mock -from unittest.mock import MagicMock - -from core.repositories.human_input_repository import HumanInputFormEntity, HumanInputFormRepository -from core.workflow.node_runtime import DifyHumanInputNodeRuntime -from core.workflow.system_variables import build_system_variables -from graphon.graph import Graph -from graphon.graph_events import ( - GraphRunPausedEvent, - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunPauseRequestedEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, -) -from graphon.graph_events.node import NodeRunHumanInputFormFilledEvent -from graphon.model_runtime.entities.message_entities import PromptMessageRole -from graphon.nodes.base.entities import OutputVariableEntity, OutputVariableType -from graphon.nodes.end.end_node import EndNode -from graphon.nodes.end.entities import EndNodeData -from graphon.nodes.human_input.entities import HumanInputNodeData, UserAction -from graphon.nodes.human_input.human_input_node import HumanInputNode -from graphon.nodes.llm.entities import ( - ContextConfig, - LLMNodeChatModelMessage, - LLMNodeData, - ModelConfig, - VisionConfig, -) -from graphon.nodes.start.entities import StartNodeData -from graphon.nodes.start.start_node import StartNode -from graphon.runtime import GraphRuntimeState, VariablePool -from libs.datetime_utils import naive_utc_now -from tests.workflow_test_utils import build_test_graph_init_params - -from .test_mock_config import MockConfig -from .test_mock_nodes import MockLLMNode -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def _build_branching_graph( - mock_config: MockConfig, - form_repository: HumanInputFormRepository, - graph_runtime_state: GraphRuntimeState | None = None, -) -> tuple[Graph, GraphRuntimeState]: - graph_config: dict[str, object] = {"nodes": [], "edges": []} - graph_init_params = build_test_graph_init_params( - workflow_id="workflow", - graph_config=graph_config, - tenant_id="tenant", - app_id="app", - user_id="user", - user_from="account", - invoke_from="debugger", - call_depth=0, - ) - - if graph_runtime_state is None: - variable_pool = VariablePool( - system_variables=build_system_variables( - user_id="user", - app_id="app", - workflow_id="workflow", - workflow_execution_id="test-execution-id", - ), - user_inputs={}, - conversation_variables=[], - ) - graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - - start_config = {"id": "start", "data": StartNodeData(title="Start", variables=[]).model_dump()} - start_node = StartNode( - id=start_config["id"], - config=start_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - def _create_llm_node(node_id: str, title: str, prompt_text: str) -> MockLLMNode: - llm_data = LLMNodeData( - title=title, - model=ModelConfig(provider="openai", name="gpt-3.5-turbo", mode="chat", completion_params={}), - prompt_template=[ - LLMNodeChatModelMessage( - text=prompt_text, - role=PromptMessageRole.USER, - edition_type="basic", - ) - ], - context=ContextConfig(enabled=False, variable_selector=None), - vision=VisionConfig(enabled=False), - reasoning_format="tagged", - ) - llm_config = {"id": node_id, "data": llm_data.model_dump()} - llm_node = MockLLMNode( - id=node_id, - config=llm_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - credentials_provider=mock.Mock(), - model_factory=mock.Mock(), - ) - return llm_node - - llm_initial = _create_llm_node("llm_initial", "Initial LLM", "Initial stream") - - human_data = HumanInputNodeData( - title="Human Input", - form_content="Human input required", - inputs=[], - user_actions=[ - UserAction(id="primary", title="Primary"), - UserAction(id="secondary", title="Secondary"), - ], - ) - - human_config = {"id": "human", "data": human_data.model_dump()} - human_node = HumanInputNode( - id=human_config["id"], - config=human_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - form_repository=form_repository, - runtime=DifyHumanInputNodeRuntime(graph_init_params.run_context), - ) - - llm_primary = _create_llm_node("llm_primary", "Primary LLM", "Primary stream output") - llm_secondary = _create_llm_node("llm_secondary", "Secondary LLM", "Secondary") - - end_primary_data = EndNodeData( - title="End Primary", - outputs=[ - OutputVariableEntity( - variable="initial_text", value_type=OutputVariableType.STRING, value_selector=["llm_initial", "text"] - ), - OutputVariableEntity( - variable="primary_text", value_type=OutputVariableType.STRING, value_selector=["llm_primary", "text"] - ), - ], - desc=None, - ) - end_primary_config = {"id": "end_primary", "data": end_primary_data.model_dump()} - end_primary = EndNode( - id=end_primary_config["id"], - config=end_primary_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - end_secondary_data = EndNodeData( - title="End Secondary", - outputs=[ - OutputVariableEntity( - variable="initial_text", value_type=OutputVariableType.STRING, value_selector=["llm_initial", "text"] - ), - OutputVariableEntity( - variable="secondary_text", - value_type=OutputVariableType.STRING, - value_selector=["llm_secondary", "text"], - ), - ], - desc=None, - ) - end_secondary_config = {"id": "end_secondary", "data": end_secondary_data.model_dump()} - end_secondary = EndNode( - id=end_secondary_config["id"], - config=end_secondary_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - graph = ( - Graph.new() - .add_root(start_node) - .add_node(llm_initial) - .add_node(human_node) - .add_node(llm_primary, from_node_id="human", source_handle="primary") - .add_node(end_primary, from_node_id="llm_primary") - .add_node(llm_secondary, from_node_id="human", source_handle="secondary") - .add_node(end_secondary, from_node_id="llm_secondary") - .build() - ) - return graph, graph_runtime_state - - -def _expected_mock_llm_chunks(text: str) -> list[str]: - chunks: list[str] = [] - for index, word in enumerate(text.split(" ")): - chunk = word if index == 0 else f" {word}" - chunks.append(chunk) - chunks.append("") - return chunks - - -def _assert_stream_chunk_sequence( - chunk_events: Iterable[NodeRunStreamChunkEvent], - expected_nodes: list[str], - expected_chunks: list[str], -) -> None: - actual_nodes = [event.node_id for event in chunk_events] - actual_chunks = [event.chunk for event in chunk_events] - assert actual_nodes == expected_nodes - assert actual_chunks == expected_chunks - - -def test_human_input_llm_streaming_across_multiple_branches() -> None: - mock_config = MockConfig() - mock_config.set_node_outputs("llm_initial", {"text": "Initial stream"}) - mock_config.set_node_outputs("llm_primary", {"text": "Primary stream output"}) - mock_config.set_node_outputs("llm_secondary", {"text": "Secondary"}) - - branch_scenarios = [ - { - "handle": "primary", - "resume_llm": "llm_primary", - "end_node": "end_primary", - "expected_pre_chunks": [ - ("llm_initial", _expected_mock_llm_chunks("Initial stream")), # cached output before branch completes - ("end_primary", ["\n"]), # literal segment emitted when end_primary session activates - ], - "expected_post_chunks": [ - ("llm_primary", _expected_mock_llm_chunks("Primary stream output")), # live stream from chosen branch - ], - }, - { - "handle": "secondary", - "resume_llm": "llm_secondary", - "end_node": "end_secondary", - "expected_pre_chunks": [ - ("llm_initial", _expected_mock_llm_chunks("Initial stream")), # cached output before branch completes - ("end_secondary", ["\n"]), # literal segment emitted when end_secondary session activates - ], - "expected_post_chunks": [ - ("llm_secondary", _expected_mock_llm_chunks("Secondary")), # live stream from chosen branch - ], - }, - ] - - for scenario in branch_scenarios: - runner = TableTestRunner() - - mock_create_repo = MagicMock(spec=HumanInputFormRepository) - mock_create_repo.get_form.return_value = None - mock_form_entity = MagicMock(spec=HumanInputFormEntity) - mock_form_entity.id = "test_form_id" - mock_form_entity.submission_token = "test_web_app_token" - mock_form_entity.recipients = [] - mock_form_entity.rendered_content = "rendered" - mock_form_entity.submitted = False - mock_create_repo.create_form.return_value = mock_form_entity - - def initial_graph_factory(mock_create_repo=mock_create_repo) -> tuple[Graph, GraphRuntimeState]: - return _build_branching_graph(mock_config, mock_create_repo) - - initial_case = WorkflowTestCase( - description="HumanInput pause before branching decision", - graph_factory=initial_graph_factory, - expected_event_sequence=[ - GraphRunStartedEvent, # initial run: graph execution starts - NodeRunStartedEvent, # start node begins execution - NodeRunSucceededEvent, # start node completes - NodeRunStartedEvent, # llm_initial starts streaming - NodeRunSucceededEvent, # llm_initial completes streaming - NodeRunStartedEvent, # human node begins and issues pause - NodeRunPauseRequestedEvent, # human node requests pause awaiting input - GraphRunPausedEvent, # graph run pauses awaiting resume - ], - ) - - initial_result = runner.run_test_case(initial_case) - - assert initial_result.success, initial_result.event_mismatch_details - assert not any(isinstance(event, NodeRunStreamChunkEvent) for event in initial_result.events) - - pre_chunk_count = sum(len(chunks) for _, chunks in scenario["expected_pre_chunks"]) - post_chunk_count = sum(len(chunks) for _, chunks in scenario["expected_post_chunks"]) - expected_pre_chunk_events_in_resumption = [ - GraphRunStartedEvent, - NodeRunStartedEvent, - NodeRunHumanInputFormFilledEvent, - ] - - expected_resume_sequence: list[type] = ( - expected_pre_chunk_events_in_resumption - + [NodeRunStreamChunkEvent] * pre_chunk_count - + [ - NodeRunSucceededEvent, - NodeRunStartedEvent, - ] - + [NodeRunStreamChunkEvent] * post_chunk_count - + [ - NodeRunSucceededEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, - ] - ) - - mock_get_repo = MagicMock(spec=HumanInputFormRepository) - submitted_form = MagicMock(spec=HumanInputFormEntity) - submitted_form.id = mock_form_entity.id - submitted_form.submission_token = mock_form_entity.submission_token - submitted_form.recipients = [] - submitted_form.rendered_content = mock_form_entity.rendered_content - submitted_form.submitted = True - submitted_form.selected_action_id = scenario["handle"] - submitted_form.submitted_data = {} - submitted_form.expiration_time = naive_utc_now() + datetime.timedelta(days=1) - mock_get_repo.get_form.return_value = submitted_form - - def resume_graph_factory( - initial_result=initial_result, mock_get_repo=mock_get_repo - ) -> tuple[Graph, GraphRuntimeState]: - assert initial_result.graph_runtime_state is not None - serialized_runtime_state = initial_result.graph_runtime_state.dumps() - resume_runtime_state = GraphRuntimeState.from_snapshot(serialized_runtime_state) - return _build_branching_graph(mock_config, mock_get_repo, resume_runtime_state) - - resume_case = WorkflowTestCase( - description=f"HumanInput resumes via {scenario['handle']} branch", - graph_factory=resume_graph_factory, - expected_event_sequence=expected_resume_sequence, - ) - - resume_result = runner.run_test_case(resume_case) - - assert resume_result.success, resume_result.event_mismatch_details - - resume_events = resume_result.events - - chunk_events = [event for event in resume_events if isinstance(event, NodeRunStreamChunkEvent)] - assert len(chunk_events) == pre_chunk_count + post_chunk_count - - pre_chunk_events = chunk_events[:pre_chunk_count] - post_chunk_events = chunk_events[pre_chunk_count:] - - expected_pre_nodes: list[str] = [] - expected_pre_chunks: list[str] = [] - for node_id, chunks in scenario["expected_pre_chunks"]: - expected_pre_nodes.extend([node_id] * len(chunks)) - expected_pre_chunks.extend(chunks) - _assert_stream_chunk_sequence(pre_chunk_events, expected_pre_nodes, expected_pre_chunks) - - expected_post_nodes: list[str] = [] - expected_post_chunks: list[str] = [] - for node_id, chunks in scenario["expected_post_chunks"]: - expected_post_nodes.extend([node_id] * len(chunks)) - expected_post_chunks.extend(chunks) - _assert_stream_chunk_sequence(post_chunk_events, expected_post_nodes, expected_post_chunks) - - human_success_index = next( - index - for index, event in enumerate(resume_events) - if isinstance(event, NodeRunSucceededEvent) and event.node_id == "human" - ) - pre_indices = [ - index - for index, event in enumerate(resume_events) - if isinstance(event, NodeRunStreamChunkEvent) and index < human_success_index - ] - expected_pre_chunk_events_count_in_resumption = len(expected_pre_chunk_events_in_resumption) - assert pre_indices == list(range(expected_pre_chunk_events_count_in_resumption, human_success_index)) - - resume_chunk_indices = [ - index - for index, event in enumerate(resume_events) - if isinstance(event, NodeRunStreamChunkEvent) and event.node_id == scenario["resume_llm"] - ] - assert resume_chunk_indices, "Expected streaming output from the selected branch" - resume_start_index = next( - index - for index, event in enumerate(resume_events) - if isinstance(event, NodeRunStartedEvent) and event.node_id == scenario["resume_llm"] - ) - resume_success_index = next( - index - for index, event in enumerate(resume_events) - if isinstance(event, NodeRunSucceededEvent) and event.node_id == scenario["resume_llm"] - ) - assert resume_start_index < min(resume_chunk_indices) - assert max(resume_chunk_indices) < resume_success_index - - started_nodes = [event.node_id for event in resume_events if isinstance(event, NodeRunStartedEvent)] - assert started_nodes == ["human", scenario["resume_llm"], scenario["end_node"]] diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_human_input_pause_single_branch.py b/api/tests/unit_tests/core/workflow/graph_engine/test_human_input_pause_single_branch.py deleted file mode 100644 index c50aaafe2c..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_human_input_pause_single_branch.py +++ /dev/null @@ -1,346 +0,0 @@ -import datetime -import time -from unittest import mock -from unittest.mock import MagicMock - -from core.repositories.human_input_repository import HumanInputFormEntity, HumanInputFormRepository -from core.workflow.node_runtime import DifyHumanInputNodeRuntime -from core.workflow.system_variables import build_system_variables -from graphon.graph import Graph -from graphon.graph_events import ( - GraphRunPausedEvent, - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunPauseRequestedEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, -) -from graphon.graph_events.node import NodeRunHumanInputFormFilledEvent -from graphon.model_runtime.entities.message_entities import PromptMessageRole -from graphon.nodes.base.entities import OutputVariableEntity, OutputVariableType -from graphon.nodes.end.end_node import EndNode -from graphon.nodes.end.entities import EndNodeData -from graphon.nodes.human_input.entities import HumanInputNodeData, UserAction -from graphon.nodes.human_input.human_input_node import HumanInputNode -from graphon.nodes.llm.entities import ( - ContextConfig, - LLMNodeChatModelMessage, - LLMNodeData, - ModelConfig, - VisionConfig, -) -from graphon.nodes.start.entities import StartNodeData -from graphon.nodes.start.start_node import StartNode -from graphon.runtime import GraphRuntimeState, VariablePool -from libs.datetime_utils import naive_utc_now -from tests.workflow_test_utils import build_test_graph_init_params - -from .test_mock_config import MockConfig -from .test_mock_nodes import MockLLMNode -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def _build_llm_human_llm_graph( - mock_config: MockConfig, - form_repository: HumanInputFormRepository, - graph_runtime_state: GraphRuntimeState | None = None, -) -> tuple[Graph, GraphRuntimeState]: - graph_config: dict[str, object] = {"nodes": [], "edges": []} - graph_init_params = build_test_graph_init_params( - workflow_id="workflow", - graph_config=graph_config, - tenant_id="tenant", - app_id="app", - user_id="user", - user_from="account", - invoke_from="debugger", - call_depth=0, - ) - - if graph_runtime_state is None: - variable_pool = VariablePool( - system_variables=build_system_variables( - user_id="user", app_id="app", workflow_id="workflow", workflow_execution_id="test-execution-id," - ), - user_inputs={}, - conversation_variables=[], - ) - graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - - start_config = {"id": "start", "data": StartNodeData(title="Start", variables=[]).model_dump()} - start_node = StartNode( - id=start_config["id"], - config=start_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - def _create_llm_node(node_id: str, title: str, prompt_text: str) -> MockLLMNode: - llm_data = LLMNodeData( - title=title, - model=ModelConfig(provider="openai", name="gpt-3.5-turbo", mode="chat", completion_params={}), - prompt_template=[ - LLMNodeChatModelMessage( - text=prompt_text, - role=PromptMessageRole.USER, - edition_type="basic", - ) - ], - context=ContextConfig(enabled=False, variable_selector=None), - vision=VisionConfig(enabled=False), - reasoning_format="tagged", - ) - llm_config = {"id": node_id, "data": llm_data.model_dump()} - llm_node = MockLLMNode( - id=node_id, - config=llm_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - credentials_provider=mock.Mock(), - model_factory=mock.Mock(), - ) - return llm_node - - llm_first = _create_llm_node("llm_initial", "Initial LLM", "Initial prompt") - - human_data = HumanInputNodeData( - title="Human Input", - form_content="Human input required", - inputs=[], - user_actions=[ - UserAction(id="accept", title="Accept"), - UserAction(id="reject", title="Reject"), - ], - ) - - human_config = {"id": "human", "data": human_data.model_dump()} - human_node = HumanInputNode( - id=human_config["id"], - config=human_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - form_repository=form_repository, - runtime=DifyHumanInputNodeRuntime(graph_init_params.run_context), - ) - - llm_second = _create_llm_node("llm_resume", "Follow-up LLM", "Follow-up prompt") - - end_data = EndNodeData( - title="End", - outputs=[ - OutputVariableEntity( - variable="initial_text", value_type=OutputVariableType.STRING, value_selector=["llm_initial", "text"] - ), - OutputVariableEntity( - variable="resume_text", value_type=OutputVariableType.STRING, value_selector=["llm_resume", "text"] - ), - ], - desc=None, - ) - end_config = {"id": "end", "data": end_data.model_dump()} - end_node = EndNode( - id=end_config["id"], - config=end_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - graph = ( - Graph.new() - .add_root(start_node) - .add_node(llm_first) - .add_node(human_node) - .add_node(llm_second, source_handle="accept") - .add_node(end_node) - .build() - ) - return graph, graph_runtime_state - - -def _expected_mock_llm_chunks(text: str) -> list[str]: - chunks: list[str] = [] - for index, word in enumerate(text.split(" ")): - chunk = word if index == 0 else f" {word}" - chunks.append(chunk) - chunks.append("") - return chunks - - -def test_human_input_llm_streaming_order_across_pause() -> None: - runner = TableTestRunner() - - initial_text = "Hello, pause" - resume_text = "Welcome back!" - - mock_config = MockConfig() - mock_config.set_node_outputs("llm_initial", {"text": initial_text}) - mock_config.set_node_outputs("llm_resume", {"text": resume_text}) - - expected_initial_sequence: list[type] = [ - GraphRunStartedEvent, # graph run begins - NodeRunStartedEvent, # start node begins - NodeRunSucceededEvent, # start node completes - NodeRunStartedEvent, # llm_initial begins streaming - NodeRunSucceededEvent, # llm_initial completes streaming - NodeRunStartedEvent, # human node begins and requests pause - NodeRunPauseRequestedEvent, # human node pause requested - GraphRunPausedEvent, # graph run pauses awaiting resume - ] - - mock_create_repo = MagicMock(spec=HumanInputFormRepository) - mock_create_repo.get_form.return_value = None - mock_form_entity = MagicMock(spec=HumanInputFormEntity) - mock_form_entity.id = "test_form_id" - mock_form_entity.submission_token = "test_web_app_token" - mock_form_entity.recipients = [] - mock_form_entity.rendered_content = "rendered" - mock_form_entity.submitted = False - mock_create_repo.create_form.return_value = mock_form_entity - - def graph_factory() -> tuple[Graph, GraphRuntimeState]: - return _build_llm_human_llm_graph(mock_config, mock_create_repo) - - initial_case = WorkflowTestCase( - description="HumanInput pause preserves LLM streaming order", - graph_factory=graph_factory, - expected_event_sequence=expected_initial_sequence, - ) - - initial_result = runner.run_test_case(initial_case) - - assert initial_result.success, initial_result.event_mismatch_details - - initial_events = initial_result.events - initial_chunks = _expected_mock_llm_chunks(initial_text) - - initial_stream_chunk_events = [event for event in initial_events if isinstance(event, NodeRunStreamChunkEvent)] - assert initial_stream_chunk_events == [] - - pause_index = next(i for i, event in enumerate(initial_events) if isinstance(event, GraphRunPausedEvent)) - llm_succeeded_index = next( - i - for i, event in enumerate(initial_events) - if isinstance(event, NodeRunSucceededEvent) and event.node_id == "llm_initial" - ) - assert llm_succeeded_index < pause_index - - graph_runtime_state = initial_result.graph_runtime_state - graph = initial_result.graph - assert graph_runtime_state is not None - assert graph is not None - - coordinator = graph_runtime_state.response_coordinator - stream_buffers = coordinator._stream_buffers # Tests may access internals for assertions - assert ("llm_initial", "text") in stream_buffers - initial_stream_chunks = [event.chunk for event in stream_buffers[("llm_initial", "text")]] - assert initial_stream_chunks == initial_chunks - assert ("llm_resume", "text") not in stream_buffers - - resume_chunks = _expected_mock_llm_chunks(resume_text) - expected_resume_sequence: list[type] = [ - GraphRunStartedEvent, # resumed graph run begins - NodeRunStartedEvent, # human node restarts - # Form Filled should be generated first, then the node execution ends and stream chunk is generated. - NodeRunHumanInputFormFilledEvent, - NodeRunStreamChunkEvent, # cached llm_initial chunk 1 - NodeRunStreamChunkEvent, # cached llm_initial chunk 2 - NodeRunStreamChunkEvent, # cached llm_initial final chunk - NodeRunStreamChunkEvent, # end node emits combined template separator - NodeRunSucceededEvent, # human node finishes instantly after input - NodeRunStartedEvent, # llm_resume begins streaming - NodeRunStreamChunkEvent, # llm_resume chunk 1 - NodeRunStreamChunkEvent, # llm_resume chunk 2 - NodeRunStreamChunkEvent, # llm_resume final chunk - NodeRunSucceededEvent, # llm_resume completes streaming - NodeRunStartedEvent, # end node starts - NodeRunSucceededEvent, # end node finishes - GraphRunSucceededEvent, # graph run succeeds after resume - ] - - mock_get_repo = MagicMock(spec=HumanInputFormRepository) - submitted_form = MagicMock(spec=HumanInputFormEntity) - submitted_form.id = mock_form_entity.id - submitted_form.submission_token = mock_form_entity.submission_token - submitted_form.recipients = [] - submitted_form.rendered_content = mock_form_entity.rendered_content - submitted_form.submitted = True - submitted_form.selected_action_id = "accept" - submitted_form.submitted_data = {} - submitted_form.expiration_time = naive_utc_now() + datetime.timedelta(days=1) - mock_get_repo.get_form.return_value = submitted_form - - def resume_graph_factory() -> tuple[Graph, GraphRuntimeState]: - # restruct the graph runtime state - serialized_runtime_state = initial_result.graph_runtime_state.dumps() - resume_runtime_state = GraphRuntimeState.from_snapshot(serialized_runtime_state) - return _build_llm_human_llm_graph( - mock_config, - mock_get_repo, - resume_runtime_state, - ) - - resume_case = WorkflowTestCase( - description="HumanInput resume continues LLM streaming order", - graph_factory=resume_graph_factory, - expected_event_sequence=expected_resume_sequence, - ) - - resume_result = runner.run_test_case(resume_case) - - assert resume_result.success, resume_result.event_mismatch_details - - resume_events = resume_result.events - - success_index = next(i for i, event in enumerate(resume_events) if isinstance(event, GraphRunSucceededEvent)) - llm_resume_succeeded_index = next( - i - for i, event in enumerate(resume_events) - if isinstance(event, NodeRunSucceededEvent) and event.node_id == "llm_resume" - ) - assert llm_resume_succeeded_index < success_index - - resume_chunk_events = [event for event in resume_events if isinstance(event, NodeRunStreamChunkEvent)] - assert [event.node_id for event in resume_chunk_events[:3]] == ["llm_initial"] * 3 - assert [event.chunk for event in resume_chunk_events[:3]] == initial_chunks - assert resume_chunk_events[3].node_id == "end" - assert resume_chunk_events[3].chunk == "\n" - assert [event.node_id for event in resume_chunk_events[4:]] == ["llm_resume"] * 3 - assert [event.chunk for event in resume_chunk_events[4:]] == resume_chunks - - human_success_index = next( - i - for i, event in enumerate(resume_events) - if isinstance(event, NodeRunSucceededEvent) and event.node_id == "human" - ) - cached_chunk_indices = [ - i - for i, event in enumerate(resume_events) - if isinstance(event, NodeRunStreamChunkEvent) and event.node_id in {"llm_initial", "end"} - ] - assert all(index < human_success_index for index in cached_chunk_indices) - - llm_resume_start_index = next( - i - for i, event in enumerate(resume_events) - if isinstance(event, NodeRunStartedEvent) and event.node_id == "llm_resume" - ) - llm_resume_success_index = next( - i - for i, event in enumerate(resume_events) - if isinstance(event, NodeRunSucceededEvent) and event.node_id == "llm_resume" - ) - llm_resume_chunk_indices = [ - i - for i, event in enumerate(resume_events) - if isinstance(event, NodeRunStreamChunkEvent) and event.node_id == "llm_resume" - ] - assert llm_resume_chunk_indices - first_resume_chunk_index = min(llm_resume_chunk_indices) - last_resume_chunk_index = max(llm_resume_chunk_indices) - assert llm_resume_start_index < first_resume_chunk_index - assert last_resume_chunk_index < llm_resume_success_index - - started_nodes = [event.node_id for event in resume_events if isinstance(event, NodeRunStartedEvent)] - assert started_nodes == ["human", "llm_resume", "end"] diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_if_else_streaming.py b/api/tests/unit_tests/core/workflow/graph_engine/test_if_else_streaming.py deleted file mode 100644 index 246df45d5f..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_if_else_streaming.py +++ /dev/null @@ -1,324 +0,0 @@ -import time -from unittest import mock - -from core.workflow.system_variables import build_system_variables -from graphon.graph import Graph -from graphon.graph_events import ( - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, -) -from graphon.model_runtime.entities.llm_entities import LLMMode -from graphon.model_runtime.entities.message_entities import PromptMessageRole -from graphon.nodes.base.entities import OutputVariableEntity, OutputVariableType -from graphon.nodes.end.end_node import EndNode -from graphon.nodes.end.entities import EndNodeData -from graphon.nodes.if_else.entities import IfElseNodeData -from graphon.nodes.if_else.if_else_node import IfElseNode -from graphon.nodes.llm.entities import ( - ContextConfig, - LLMNodeChatModelMessage, - LLMNodeData, - ModelConfig, - VisionConfig, -) -from graphon.nodes.start.entities import StartNodeData -from graphon.nodes.start.start_node import StartNode -from graphon.runtime import GraphRuntimeState, VariablePool -from graphon.utils.condition.entities import Condition -from tests.workflow_test_utils import build_test_graph_init_params - -from .test_mock_config import MockConfig -from .test_mock_nodes import MockLLMNode -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def _build_if_else_graph(branch_value: str, mock_config: MockConfig) -> tuple[Graph, GraphRuntimeState]: - graph_config: dict[str, object] = {"nodes": [], "edges": []} - graph_init_params = build_test_graph_init_params( - graph_config=graph_config, - user_from="account", - invoke_from="debugger", - ) - - variable_pool = VariablePool( - system_variables=build_system_variables(user_id="user", app_id="app", workflow_id="workflow"), - user_inputs={}, - conversation_variables=[], - ) - variable_pool.add(("branch", "value"), branch_value) - graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - - start_config = {"id": "start", "data": StartNodeData(title="Start", variables=[]).model_dump()} - start_node = StartNode( - id=start_config["id"], - config=start_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - def _create_llm_node(node_id: str, title: str, prompt_text: str) -> MockLLMNode: - llm_data = LLMNodeData( - title=title, - model=ModelConfig(provider="openai", name="gpt-3.5-turbo", mode=LLMMode.CHAT, completion_params={}), - prompt_template=[ - LLMNodeChatModelMessage( - text=prompt_text, - role=PromptMessageRole.USER, - edition_type="basic", - ) - ], - context=ContextConfig(enabled=False, variable_selector=None), - vision=VisionConfig(enabled=False), - reasoning_format="tagged", - ) - llm_config = {"id": node_id, "data": llm_data.model_dump()} - llm_node = MockLLMNode( - id=node_id, - config=llm_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - credentials_provider=mock.Mock(), - model_factory=mock.Mock(), - ) - return llm_node - - llm_initial = _create_llm_node("llm_initial", "Initial LLM", "Initial stream") - - if_else_data = IfElseNodeData( - title="IfElse", - cases=[ - IfElseNodeData.Case( - case_id="primary", - logical_operator="and", - conditions=[ - Condition(variable_selector=["branch", "value"], comparison_operator="is", value="primary") - ], - ), - IfElseNodeData.Case( - case_id="secondary", - logical_operator="and", - conditions=[ - Condition(variable_selector=["branch", "value"], comparison_operator="is", value="secondary") - ], - ), - ], - ) - if_else_config = {"id": "if_else", "data": if_else_data.model_dump()} - if_else_node = IfElseNode( - id=if_else_config["id"], - config=if_else_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - llm_primary = _create_llm_node("llm_primary", "Primary LLM", "Primary stream output") - llm_secondary = _create_llm_node("llm_secondary", "Secondary LLM", "Secondary") - - end_primary_data = EndNodeData( - title="End Primary", - outputs=[ - OutputVariableEntity( - variable="initial_text", value_type=OutputVariableType.STRING, value_selector=["llm_initial", "text"] - ), - OutputVariableEntity( - variable="primary_text", value_type=OutputVariableType.STRING, value_selector=["llm_primary", "text"] - ), - ], - desc=None, - ) - end_primary_config = {"id": "end_primary", "data": end_primary_data.model_dump()} - end_primary = EndNode( - id=end_primary_config["id"], - config=end_primary_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - end_secondary_data = EndNodeData( - title="End Secondary", - outputs=[ - OutputVariableEntity( - variable="initial_text", value_type=OutputVariableType.STRING, value_selector=["llm_initial", "text"] - ), - OutputVariableEntity( - variable="secondary_text", - value_type=OutputVariableType.STRING, - value_selector=["llm_secondary", "text"], - ), - ], - desc=None, - ) - end_secondary_config = {"id": "end_secondary", "data": end_secondary_data.model_dump()} - end_secondary = EndNode( - id=end_secondary_config["id"], - config=end_secondary_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - graph = ( - Graph.new() - .add_root(start_node) - .add_node(llm_initial) - .add_node(if_else_node) - .add_node(llm_primary, from_node_id="if_else", source_handle="primary") - .add_node(end_primary, from_node_id="llm_primary") - .add_node(llm_secondary, from_node_id="if_else", source_handle="secondary") - .add_node(end_secondary, from_node_id="llm_secondary") - .build() - ) - return graph, graph_runtime_state - - -def _expected_mock_llm_chunks(text: str) -> list[str]: - chunks: list[str] = [] - for index, word in enumerate(text.split(" ")): - chunk = word if index == 0 else f" {word}" - chunks.append(chunk) - chunks.append("") - return chunks - - -def test_if_else_llm_streaming_order() -> None: - mock_config = MockConfig() - mock_config.set_node_outputs("llm_initial", {"text": "Initial stream"}) - mock_config.set_node_outputs("llm_primary", {"text": "Primary stream output"}) - mock_config.set_node_outputs("llm_secondary", {"text": "Secondary"}) - - scenarios = [ - { - "branch": "primary", - "resume_llm": "llm_primary", - "end_node": "end_primary", - "expected_sequence": [ - GraphRunStartedEvent, # graph run begins - NodeRunStartedEvent, # start node begins execution - NodeRunSucceededEvent, # start node completes - NodeRunStartedEvent, # llm_initial starts and streams - NodeRunSucceededEvent, # llm_initial completes streaming - NodeRunStartedEvent, # if_else evaluates conditions - NodeRunStreamChunkEvent, # cached llm_initial chunk 1 flushed - NodeRunStreamChunkEvent, # cached llm_initial chunk 2 flushed - NodeRunStreamChunkEvent, # cached llm_initial final chunk flushed - NodeRunStreamChunkEvent, # template literal newline emitted - NodeRunSucceededEvent, # if_else completes branch selection - NodeRunStartedEvent, # llm_primary begins streaming - NodeRunStreamChunkEvent, # llm_primary chunk 1 - NodeRunStreamChunkEvent, # llm_primary chunk 2 - NodeRunStreamChunkEvent, # llm_primary chunk 3 - NodeRunStreamChunkEvent, # llm_primary final chunk - NodeRunSucceededEvent, # llm_primary completes streaming - NodeRunStartedEvent, # end_primary node starts - NodeRunSucceededEvent, # end_primary finishes aggregation - GraphRunSucceededEvent, # graph run succeeds - ], - "expected_chunks": [ - ("llm_initial", _expected_mock_llm_chunks("Initial stream")), - ("end_primary", ["\n"]), - ("llm_primary", _expected_mock_llm_chunks("Primary stream output")), - ], - }, - { - "branch": "secondary", - "resume_llm": "llm_secondary", - "end_node": "end_secondary", - "expected_sequence": [ - GraphRunStartedEvent, # graph run begins - NodeRunStartedEvent, # start node begins execution - NodeRunSucceededEvent, # start node completes - NodeRunStartedEvent, # llm_initial starts and streams - NodeRunSucceededEvent, # llm_initial completes streaming - NodeRunStartedEvent, # if_else evaluates conditions - NodeRunStreamChunkEvent, # cached llm_initial chunk 1 flushed - NodeRunStreamChunkEvent, # cached llm_initial chunk 2 flushed - NodeRunStreamChunkEvent, # cached llm_initial final chunk flushed - NodeRunStreamChunkEvent, # template literal newline emitted - NodeRunSucceededEvent, # if_else completes branch selection - NodeRunStartedEvent, # llm_secondary begins streaming - NodeRunStreamChunkEvent, # llm_secondary chunk 1 - NodeRunStreamChunkEvent, # llm_secondary final chunk - NodeRunSucceededEvent, # llm_secondary completes - NodeRunStartedEvent, # end_secondary node starts - NodeRunSucceededEvent, # end_secondary finishes aggregation - GraphRunSucceededEvent, # graph run succeeds - ], - "expected_chunks": [ - ("llm_initial", _expected_mock_llm_chunks("Initial stream")), - ("end_secondary", ["\n"]), - ("llm_secondary", _expected_mock_llm_chunks("Secondary")), - ], - }, - ] - - for scenario in scenarios: - runner = TableTestRunner() - - def graph_factory( - branch_value: str = scenario["branch"], - cfg: MockConfig = mock_config, - ) -> tuple[Graph, GraphRuntimeState]: - return _build_if_else_graph(branch_value, cfg) - - test_case = WorkflowTestCase( - description=f"IfElse streaming via {scenario['branch']} branch", - graph_factory=graph_factory, - expected_event_sequence=scenario["expected_sequence"], - ) - - result = runner.run_test_case(test_case) - - assert result.success, result.event_mismatch_details - - chunk_events = [event for event in result.events if isinstance(event, NodeRunStreamChunkEvent)] - expected_nodes: list[str] = [] - expected_chunks: list[str] = [] - for node_id, chunks in scenario["expected_chunks"]: - expected_nodes.extend([node_id] * len(chunks)) - expected_chunks.extend(chunks) - assert [event.node_id for event in chunk_events] == expected_nodes - assert [event.chunk for event in chunk_events] == expected_chunks - - branch_node_index = next( - index - for index, event in enumerate(result.events) - if isinstance(event, NodeRunStartedEvent) and event.node_id == "if_else" - ) - branch_success_index = next( - index - for index, event in enumerate(result.events) - if isinstance(event, NodeRunSucceededEvent) and event.node_id == "if_else" - ) - pre_branch_chunk_indices = [ - index - for index, event in enumerate(result.events) - if isinstance(event, NodeRunStreamChunkEvent) and index < branch_success_index - ] - assert len(pre_branch_chunk_indices) == len(_expected_mock_llm_chunks("Initial stream")) + 1 - assert min(pre_branch_chunk_indices) == branch_node_index + 1 - assert max(pre_branch_chunk_indices) < branch_success_index - - resume_chunk_indices = [ - index - for index, event in enumerate(result.events) - if isinstance(event, NodeRunStreamChunkEvent) and event.node_id == scenario["resume_llm"] - ] - assert resume_chunk_indices - resume_start_index = next( - index - for index, event in enumerate(result.events) - if isinstance(event, NodeRunStartedEvent) and event.node_id == scenario["resume_llm"] - ) - resume_success_index = next( - index - for index, event in enumerate(result.events) - if isinstance(event, NodeRunSucceededEvent) and event.node_id == scenario["resume_llm"] - ) - assert resume_start_index < min(resume_chunk_indices) - assert max(resume_chunk_indices) < resume_success_index - - started_nodes = [event.node_id for event in result.events if isinstance(event, NodeRunStartedEvent)] - assert started_nodes == ["start", "llm_initial", "if_else", scenario["resume_llm"], scenario["end_node"]] diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_iteration_flatten_output.py b/api/tests/unit_tests/core/workflow/graph_engine/test_iteration_flatten_output.py deleted file mode 100644 index b9bf4be13a..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_iteration_flatten_output.py +++ /dev/null @@ -1,126 +0,0 @@ -""" -Test cases for the Iteration node's flatten_output functionality. - -This module tests the iteration node's ability to: -1. Flatten array outputs when flatten_output=True (default) -2. Preserve nested array structure when flatten_output=False -""" - -from .test_database_utils import skip_if_database_unavailable -from .test_mock_config import MockConfigBuilder, NodeMockConfig -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def _create_iteration_mock_config(): - """Helper to create a mock config for iteration tests.""" - - def code_inner_handler(node): - pool = node.graph_runtime_state.variable_pool - item_seg = pool.get(["iteration_node", "item"]) - if item_seg is not None: - item = item_seg.to_object() - return {"result": [item, item * 2]} - # This fallback is likely unreachable, but if it is, - # it doesn't simulate iteration with different values as the comment suggests. - return {"result": [1, 2]} - - return ( - MockConfigBuilder() - .with_node_output("code_node", {"result": [1, 2, 3]}) - .with_node_config(NodeMockConfig(node_id="code_inner_node", custom_handler=code_inner_handler)) - .build() - ) - - -@skip_if_database_unavailable() -def test_iteration_with_flatten_output_enabled(): - """ - Test iteration node with flatten_output=True (default behavior). - - The fixture implements an iteration that: - 1. Iterates over [1, 2, 3] - 2. For each item, outputs [item, item*2] - 3. With flatten_output=True, should output [1, 2, 2, 4, 3, 6] - """ - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="iteration_flatten_output_enabled_workflow", - inputs={}, - expected_outputs={"output": [1, 2, 2, 4, 3, 6]}, - description="Iteration with flatten_output=True flattens nested arrays", - use_auto_mock=True, # Use auto-mock to avoid sandbox service - mock_config=_create_iteration_mock_config(), - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Test failed: {result.error}" - assert result.actual_outputs is not None, "Should have outputs" - assert result.actual_outputs == {"output": [1, 2, 2, 4, 3, 6]}, ( - f"Expected flattened output [1, 2, 2, 4, 3, 6], got {result.actual_outputs}" - ) - - -@skip_if_database_unavailable() -def test_iteration_with_flatten_output_disabled(): - """ - Test iteration node with flatten_output=False. - - The fixture implements an iteration that: - 1. Iterates over [1, 2, 3] - 2. For each item, outputs [item, item*2] - 3. With flatten_output=False, should output [[1, 2], [2, 4], [3, 6]] - """ - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="iteration_flatten_output_disabled_workflow", - inputs={}, - expected_outputs={"output": [[1, 2], [2, 4], [3, 6]]}, - description="Iteration with flatten_output=False preserves nested structure", - use_auto_mock=True, # Use auto-mock to avoid sandbox service - mock_config=_create_iteration_mock_config(), - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Test failed: {result.error}" - assert result.actual_outputs is not None, "Should have outputs" - assert result.actual_outputs == {"output": [[1, 2], [2, 4], [3, 6]]}, ( - f"Expected nested output [[1, 2], [2, 4], [3, 6]], got {result.actual_outputs}" - ) - - -@skip_if_database_unavailable() -def test_iteration_flatten_output_comparison(): - """ - Run both flatten_output configurations in parallel to verify the difference. - """ - runner = TableTestRunner() - - test_cases = [ - WorkflowTestCase( - fixture_path="iteration_flatten_output_enabled_workflow", - inputs={}, - expected_outputs={"output": [1, 2, 2, 4, 3, 6]}, - description="flatten_output=True: Flattened output", - use_auto_mock=True, # Use auto-mock to avoid sandbox service - mock_config=_create_iteration_mock_config(), - ), - WorkflowTestCase( - fixture_path="iteration_flatten_output_disabled_workflow", - inputs={}, - expected_outputs={"output": [[1, 2], [2, 4], [3, 6]]}, - description="flatten_output=False: Nested output", - use_auto_mock=True, # Use auto-mock to avoid sandbox service - mock_config=_create_iteration_mock_config(), - ), - ] - - suite_result = runner.run_table_tests(test_cases, parallel=True) - - # Assert all tests passed - assert suite_result.passed_tests == 2, f"Expected 2 passed tests, got {suite_result.passed_tests}" - assert suite_result.failed_tests == 0, f"Expected 0 failed tests, got {suite_result.failed_tests}" - assert suite_result.success_rate == 100.0, f"Expected 100% success rate, got {suite_result.success_rate}" diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_loop_contains_answer.py b/api/tests/unit_tests/core/workflow/graph_engine/test_loop_contains_answer.py deleted file mode 100644 index 821da46b76..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_loop_contains_answer.py +++ /dev/null @@ -1,88 +0,0 @@ -""" -Test case for loop with inner answer output error scenario. - -This test validates the behavior of a loop containing an answer node -inside the loop that may produce output errors. -""" - -from graphon.graph_events import ( - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunLoopNextEvent, - NodeRunLoopStartedEvent, - NodeRunLoopSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, - NodeRunVariableUpdatedEvent, -) - -from .test_mock_config import MockConfigBuilder -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def test_loop_contains_answer(): - """ - Test loop with inner answer node that may have output errors. - - The fixture implements a loop that: - 1. Iterates 4 times (index 0-3) - 2. Contains an inner answer node that outputs index and item values - 3. Has a break condition when index equals 4 - 4. Tests error handling for answer nodes within loops - """ - fixture_name = "loop_contains_answer" - mock_config = MockConfigBuilder().build() - - case = WorkflowTestCase( - fixture_path=fixture_name, - use_auto_mock=True, - mock_config=mock_config, - query="1", - expected_outputs={"answer": "1\n2\n1 + 2"}, - expected_event_sequence=[ - # Graph start - GraphRunStartedEvent, - # Start - NodeRunStartedEvent, - NodeRunSucceededEvent, - # Loop start - NodeRunStartedEvent, - NodeRunLoopStartedEvent, - # Variable assigner - NodeRunStartedEvent, - NodeRunVariableUpdatedEvent, - NodeRunStreamChunkEvent, # 1 - NodeRunStreamChunkEvent, # \n - NodeRunSucceededEvent, - # Answer - NodeRunStartedEvent, - NodeRunSucceededEvent, - # Loop next - NodeRunLoopNextEvent, - # Variable assigner - NodeRunStartedEvent, - NodeRunVariableUpdatedEvent, - NodeRunStreamChunkEvent, # 2 - NodeRunStreamChunkEvent, # \n - NodeRunSucceededEvent, - # Answer - NodeRunStartedEvent, - NodeRunSucceededEvent, - # Loop end - NodeRunLoopSucceededEvent, - NodeRunStreamChunkEvent, # 1 - NodeRunStreamChunkEvent, # + - NodeRunStreamChunkEvent, # 2 - NodeRunSucceededEvent, - # Answer - NodeRunStartedEvent, - NodeRunSucceededEvent, - # Graph end - GraphRunSucceededEvent, - ], - ) - - runner = TableTestRunner() - result = runner.run_test_case(case) - assert result.success, f"Test failed: {result.error}" diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_loop_node.py b/api/tests/unit_tests/core/workflow/graph_engine/test_loop_node.py deleted file mode 100644 index ad8d777ea6..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_loop_node.py +++ /dev/null @@ -1,41 +0,0 @@ -""" -Test cases for the Loop node functionality using TableTestRunner. - -This module tests the loop node's ability to: -1. Execute iterations with loop variables -2. Handle break conditions correctly -3. Update and propagate loop variables between iterations -4. Output the final loop variable value -""" - -from tests.unit_tests.core.workflow.graph_engine.test_table_runner import ( - TableTestRunner, - WorkflowTestCase, -) - - -def test_loop_with_break_condition(): - """ - Test loop node with break condition. - - The increment_loop_with_break_condition_workflow.yml fixture implements a loop that: - 1. Starts with num=1 - 2. Increments num by 1 each iteration - 3. Breaks when num >= 5 - 4. Should output {"num": 5} - """ - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="increment_loop_with_break_condition_workflow", - inputs={}, # No inputs needed for this test - expected_outputs={"num": 5}, - description="Loop with break condition when num >= 5", - ) - - result = runner.run_test_case(test_case) - - # Assert the test passed - assert result.success, f"Test failed: {result.error}" - assert result.actual_outputs is not None, "Should have outputs" - assert result.actual_outputs == {"num": 5}, f"Expected {{'num': 5}}, got {result.actual_outputs}" diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_loop_with_tool.py b/api/tests/unit_tests/core/workflow/graph_engine/test_loop_with_tool.py deleted file mode 100644 index 4a60c7769c..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_loop_with_tool.py +++ /dev/null @@ -1,72 +0,0 @@ -from graphon.graph_events import ( - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunLoopNextEvent, - NodeRunLoopStartedEvent, - NodeRunLoopSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, - NodeRunVariableUpdatedEvent, -) - -from .test_mock_config import MockConfigBuilder -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def test_loop_with_tool(): - fixture_name = "search_dify_from_2023_to_2025" - mock_config = ( - MockConfigBuilder() - .with_tool_response( - { - "text": "mocked search result", - } - ) - .build() - ) - case = WorkflowTestCase( - fixture_path=fixture_name, - use_auto_mock=True, - mock_config=mock_config, - expected_outputs={ - "answer": """- mocked search result -- mocked search result""" - }, - expected_event_sequence=[ - GraphRunStartedEvent, - # START - NodeRunStartedEvent, - NodeRunSucceededEvent, - # LOOP START - NodeRunStartedEvent, - NodeRunLoopStartedEvent, - # 2023 - NodeRunStartedEvent, - NodeRunSucceededEvent, - NodeRunStartedEvent, - NodeRunVariableUpdatedEvent, - NodeRunVariableUpdatedEvent, - NodeRunSucceededEvent, - NodeRunLoopNextEvent, - # 2024 - NodeRunStartedEvent, - NodeRunSucceededEvent, - NodeRunStartedEvent, - NodeRunVariableUpdatedEvent, - NodeRunVariableUpdatedEvent, - NodeRunSucceededEvent, - # LOOP END - NodeRunLoopSucceededEvent, - NodeRunStreamChunkEvent, # loop.res - NodeRunSucceededEvent, - # ANSWER - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, - ], - ) - - runner = TableTestRunner() - result = runner.run_test_case(case) - assert result.success, f"Test failed: {result.error}" diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_example.py b/api/tests/unit_tests/core/workflow/graph_engine/test_mock_example.py deleted file mode 100644 index c511548749..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_example.py +++ /dev/null @@ -1,281 +0,0 @@ -""" -Example demonstrating the auto-mock system for testing workflows. - -This example shows how to test workflows with third-party service nodes -without making actual API calls. -""" - -from .test_mock_config import MockConfigBuilder -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def example_test_llm_workflow(): - """ - Example: Testing a workflow with an LLM node. - - This demonstrates how to test a workflow that uses an LLM service - without making actual API calls to OpenAI, Anthropic, etc. - """ - print("\n=== Example: Testing LLM Workflow ===\n") - - # Initialize the test runner - runner = TableTestRunner() - - # Configure mock responses - mock_config = MockConfigBuilder().with_llm_response("I'm a helpful AI assistant. How can I help you today?").build() - - # Define the test case - test_case = WorkflowTestCase( - fixture_path="llm-simple", - inputs={"query": "Hello, AI!"}, - expected_outputs={"answer": "I'm a helpful AI assistant. How can I help you today?"}, - description="Testing LLM workflow with mocked response", - use_auto_mock=True, # Enable auto-mocking - mock_config=mock_config, - ) - - # Run the test - result = runner.run_test_case(test_case) - - if result.success: - print("✅ Test passed!") - print(f" Input: {test_case.inputs['query']}") - print(f" Output: {result.actual_outputs['answer']}") - print(f" Execution time: {result.execution_time:.2f}s") - else: - print(f"❌ Test failed: {result.error}") - - return result.success - - -def example_test_with_custom_outputs(): - """ - Example: Testing with custom outputs for specific nodes. - - This shows how to provide different mock outputs for specific node IDs, - useful when testing complex workflows with multiple LLM/tool nodes. - """ - print("\n=== Example: Custom Node Outputs ===\n") - - runner = TableTestRunner() - - # Configure mock with specific outputs for different nodes - mock_config = MockConfigBuilder().build() - - # Set custom output for a specific LLM node - mock_config.set_node_outputs( - "llm_node", - { - "text": "This is a custom response for the specific LLM node", - "usage": { - "prompt_tokens": 50, - "completion_tokens": 20, - "total_tokens": 70, - }, - "finish_reason": "stop", - }, - ) - - test_case = WorkflowTestCase( - fixture_path="llm-simple", - inputs={"query": "Tell me about custom outputs"}, - expected_outputs={"answer": "This is a custom response for the specific LLM node"}, - description="Testing with custom node outputs", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - if result.success: - print("✅ Test with custom outputs passed!") - print(f" Custom output: {result.actual_outputs['answer']}") - else: - print(f"❌ Test failed: {result.error}") - - return result.success - - -def example_test_http_and_tool_workflow(): - """ - Example: Testing a workflow with HTTP request and tool nodes. - - This demonstrates mocking external HTTP calls and tool executions. - """ - print("\n=== Example: HTTP and Tool Workflow ===\n") - - runner = TableTestRunner() - - # Configure mocks for HTTP and Tool nodes - mock_config = MockConfigBuilder().build() - - # Mock HTTP response - mock_config.set_node_outputs( - "http_node", - { - "status_code": 200, - "body": '{"users": [{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}]}', - "headers": {"content-type": "application/json"}, - }, - ) - - # Mock tool response (e.g., JSON parser) - mock_config.set_node_outputs( - "tool_node", - { - "result": {"users": [{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}]}, - }, - ) - - test_case = WorkflowTestCase( - fixture_path="http-tool-workflow", - inputs={"url": "https://api.example.com/users"}, - expected_outputs={ - "status_code": 200, - "parsed_data": {"users": [{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}]}, - }, - description="Testing HTTP and Tool workflow", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - if result.success: - print("✅ HTTP and Tool workflow test passed!") - print(f" HTTP Status: {result.actual_outputs['status_code']}") - print(f" Parsed Data: {result.actual_outputs['parsed_data']}") - else: - print(f"❌ Test failed: {result.error}") - - return result.success - - -def example_test_error_simulation(): - """ - Example: Simulating errors in specific nodes. - - This shows how to test error handling in workflows by simulating - failures in specific nodes. - """ - print("\n=== Example: Error Simulation ===\n") - - runner = TableTestRunner() - - # Configure mock to simulate an error - mock_config = MockConfigBuilder().build() - mock_config.set_node_error("llm_node", "API rate limit exceeded") - - test_case = WorkflowTestCase( - fixture_path="llm-simple", - inputs={"query": "This will fail"}, - expected_outputs={}, # We expect failure - description="Testing error handling", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - if not result.success: - print("✅ Error simulation worked as expected!") - print(f" Simulated error: {result.error}") - else: - print("❌ Expected failure but test succeeded") - - return not result.success # Success means we got the expected error - - -def example_test_with_delays(): - """ - Example: Testing with simulated execution delays. - - This demonstrates how to simulate realistic execution times - for performance testing. - """ - print("\n=== Example: Simulated Delays ===\n") - - runner = TableTestRunner() - - # Configure mock with delays - mock_config = ( - MockConfigBuilder() - .with_delays(True) # Enable delay simulation - .with_llm_response("Response after delay") - .build() - ) - - # Add specific delay for the LLM node - from .test_mock_config import NodeMockConfig - - node_config = NodeMockConfig( - node_id="llm_node", - outputs={"text": "Response after delay"}, - delay=0.5, # 500ms delay - ) - mock_config.set_node_config("llm_node", node_config) - - test_case = WorkflowTestCase( - fixture_path="llm-simple", - inputs={"query": "Test with delay"}, - expected_outputs={"answer": "Response after delay"}, - description="Testing with simulated delays", - use_auto_mock=True, - mock_config=mock_config, - ) - - result = runner.run_test_case(test_case) - - if result.success: - print("✅ Delay simulation test passed!") - print(f" Execution time: {result.execution_time:.2f}s") - print(" (Should be >= 0.5s due to simulated delay)") - else: - print(f"❌ Test failed: {result.error}") - - return result.success and result.execution_time >= 0.5 - - -def run_all_examples(): - """Run all example tests.""" - print("\n" + "=" * 50) - print("AUTO-MOCK SYSTEM EXAMPLES") - print("=" * 50) - - examples = [ - example_test_llm_workflow, - example_test_with_custom_outputs, - example_test_http_and_tool_workflow, - example_test_error_simulation, - example_test_with_delays, - ] - - results = [] - for example in examples: - try: - results.append(example()) - except Exception as e: - print(f"\n❌ Example failed with exception: {e}") - results.append(False) - - print("\n" + "=" * 50) - print("SUMMARY") - print("=" * 50) - - passed = sum(results) - total = len(results) - print(f"\n✅ Passed: {passed}/{total}") - - if passed == total: - print("\n🎉 All examples passed successfully!") - else: - print(f"\n⚠️ {total - passed} example(s) failed") - - return passed == total - - -if __name__ == "__main__": - import sys - - success = run_all_examples() - sys.exit(0 if success else 1) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_factory.py b/api/tests/unit_tests/core/workflow/graph_engine/test_mock_factory.py index 76b2984a4b..88989db856 100644 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_factory.py +++ b/api/tests/unit_tests/core/workflow/graph_engine/test_mock_factory.py @@ -7,11 +7,12 @@ requiring external services (LLM, Agent, Tool, Knowledge Retrieval, HTTP Request from typing import TYPE_CHECKING, Any -from core.workflow.node_factory import DifyNodeFactory from graphon.entities.graph_config import NodeConfigDict, NodeConfigDictAdapter from graphon.enums import BuiltinNodeTypes, NodeType from graphon.nodes.base.node import Node +from core.workflow.node_factory import DifyNodeFactory + from .test_mock_nodes import ( MockAgentNode, MockCodeNode, diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_iteration_simple.py b/api/tests/unit_tests/core/workflow/graph_engine/test_mock_iteration_simple.py deleted file mode 100644 index aff479104f..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_iteration_simple.py +++ /dev/null @@ -1,199 +0,0 @@ -""" -Simple test to verify MockNodeFactory works with iteration nodes. -""" - -from core.app.entities.app_invoke_entities import DIFY_RUN_CONTEXT_KEY -from graphon.enums import BuiltinNodeTypes -from tests.unit_tests.core.workflow.graph_engine.test_mock_config import MockConfigBuilder -from tests.unit_tests.core.workflow.graph_engine.test_mock_factory import MockNodeFactory - - -def test_mock_factory_registers_iteration_node(): - """Test that MockNodeFactory has iteration node registered.""" - from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create a MockNodeFactory instance - graph_init_params = GraphInitParams( - workflow_id="test", - graph_config={"nodes": [], "edges": []}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test", - "app_id": "test", - "user_id": "test", - "user_from": UserFrom.ACCOUNT, - "invoke_from": InvokeFrom.SERVICE_API, - } - }, - call_depth=0, - ) - graph_runtime_state = GraphRuntimeState( - variable_pool=VariablePool(environment_variables=[], conversation_variables=[], user_inputs={}), - start_at=0, - total_tokens=0, - node_run_steps=0, - ) - factory = MockNodeFactory( - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=None, - ) - - # Check that iteration node is registered - assert BuiltinNodeTypes.ITERATION in factory._mock_node_types - print("✓ Iteration node is registered in MockNodeFactory") - - # Check that loop node is registered - assert BuiltinNodeTypes.LOOP in factory._mock_node_types - print("✓ Loop node is registered in MockNodeFactory") - - # Check the class types - from tests.unit_tests.core.workflow.graph_engine.test_mock_nodes import MockIterationNode, MockLoopNode - - assert factory._mock_node_types[BuiltinNodeTypes.ITERATION] == MockIterationNode - print("✓ Iteration node maps to MockIterationNode class") - - assert factory._mock_node_types[BuiltinNodeTypes.LOOP] == MockLoopNode - print("✓ Loop node maps to MockLoopNode class") - - -def test_mock_iteration_node_preserves_config(): - """Test that MockIterationNode preserves mock configuration.""" - - from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - from tests.unit_tests.core.workflow.graph_engine.test_mock_nodes import MockIterationNode - - # Create mock config - mock_config = MockConfigBuilder().with_llm_response("Test response").build() - - # Create minimal graph init params - graph_init_params = GraphInitParams( - workflow_id="test", - graph_config={"nodes": [], "edges": []}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test", - "app_id": "test", - "user_id": "test", - "user_from": UserFrom.ACCOUNT, - "invoke_from": InvokeFrom.SERVICE_API, - } - }, - call_depth=0, - ) - - # Create minimal runtime state - graph_runtime_state = GraphRuntimeState( - variable_pool=VariablePool(environment_variables=[], conversation_variables=[], user_inputs={}), - start_at=0, - total_tokens=0, - node_run_steps=0, - ) - - # Create mock iteration node - node_config = { - "id": "iter1", - "data": { - "type": "iteration", - "title": "Test", - "iterator_selector": ["start", "items"], - "output_selector": ["node", "text"], - "start_node_id": "node1", - }, - } - - mock_node = MockIterationNode( - id="iter1", - config=node_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - ) - - # Verify the mock config is preserved - assert mock_node.mock_config == mock_config - print("✓ MockIterationNode preserves mock configuration") - - # Check that _create_graph_engine method exists and is overridden - assert hasattr(mock_node, "_create_graph_engine") - assert MockIterationNode._create_graph_engine != MockIterationNode.__bases__[1]._create_graph_engine - print("✓ MockIterationNode overrides _create_graph_engine method") - - -def test_mock_loop_node_preserves_config(): - """Test that MockLoopNode preserves mock configuration.""" - - from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - from tests.unit_tests.core.workflow.graph_engine.test_mock_nodes import MockLoopNode - - # Create mock config - mock_config = MockConfigBuilder().with_http_response({"status": 200}).build() - - # Create minimal graph init params - graph_init_params = GraphInitParams( - workflow_id="test", - graph_config={"nodes": [], "edges": []}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test", - "app_id": "test", - "user_id": "test", - "user_from": UserFrom.ACCOUNT, - "invoke_from": InvokeFrom.SERVICE_API, - } - }, - call_depth=0, - ) - - # Create minimal runtime state - graph_runtime_state = GraphRuntimeState( - variable_pool=VariablePool(environment_variables=[], conversation_variables=[], user_inputs={}), - start_at=0, - total_tokens=0, - node_run_steps=0, - ) - - # Create mock loop node - node_config = { - "id": "loop1", - "data": { - "type": "loop", - "title": "Test", - "loop_count": 3, - "start_node_id": "node1", - "loop_variables": [], - "outputs": {}, - "break_conditions": [], - "logical_operator": "and", - }, - } - - mock_node = MockLoopNode( - id="loop1", - config=node_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - ) - - # Verify the mock config is preserved - assert mock_node.mock_config == mock_config - print("✓ MockLoopNode preserves mock configuration") - - # Check that _create_graph_engine method exists and is overridden - assert hasattr(mock_node, "_create_graph_engine") - assert MockLoopNode._create_graph_engine != MockLoopNode.__bases__[1]._create_graph_engine - print("✓ MockLoopNode overrides _create_graph_engine method") - - -if __name__ == "__main__": - test_mock_factory_registers_iteration_node() - test_mock_iteration_node_preserves_config() - test_mock_loop_node_preserves_config() - print("\n✅ All tests passed! MockNodeFactory now supports iteration and loop nodes.") diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_nodes.py b/api/tests/unit_tests/core/workflow/graph_engine/test_mock_nodes.py index 971b9b2bbf..8b7fbd1b30 100644 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_nodes.py +++ b/api/tests/unit_tests/core/workflow/graph_engine/test_mock_nodes.py @@ -10,10 +10,6 @@ from collections.abc import Generator, Mapping from typing import TYPE_CHECKING, Any, Optional from unittest.mock import MagicMock -from core.model_manager import ModelInstance -from core.workflow.node_runtime import DifyToolNodeRuntime -from core.workflow.nodes.agent import AgentNode -from core.workflow.nodes.knowledge_retrieval.knowledge_retrieval_node import KnowledgeRetrievalNode from graphon.enums import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus from graphon.model_runtime.entities.llm_entities import LLMUsage from graphon.node_events import NodeRunResult, StreamChunkEvent, StreamCompletedEvent @@ -31,6 +27,11 @@ from graphon.nodes.template_transform import TemplateTransformNode from graphon.nodes.tool import ToolNode from graphon.template_rendering import Jinja2TemplateRenderer, TemplateRenderError +from core.model_manager import ModelInstance +from core.workflow.node_runtime import DifyToolNodeRuntime +from core.workflow.nodes.agent import AgentNode +from core.workflow.nodes.knowledge_retrieval.knowledge_retrieval_node import KnowledgeRetrievalNode + if TYPE_CHECKING: from graphon.entities import GraphInitParams from graphon.runtime import GraphRuntimeState diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_nodes_template_code.py b/api/tests/unit_tests/core/workflow/graph_engine/test_mock_nodes_template_code.py deleted file mode 100644 index 15f6f51398..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_nodes_template_code.py +++ /dev/null @@ -1,670 +0,0 @@ -""" -Test cases for Mock Template Transform and Code nodes. - -This module tests the functionality of MockTemplateTransformNode and MockCodeNode -to ensure they work correctly with the TableTestRunner. -""" - -from configs import dify_config -from core.app.entities.app_invoke_entities import DIFY_RUN_CONTEXT_KEY -from graphon.enums import BuiltinNodeTypes, WorkflowNodeExecutionStatus -from graphon.nodes.code.limits import CodeNodeLimits -from tests.unit_tests.core.workflow.graph_engine.test_mock_config import MockConfig, MockConfigBuilder, NodeMockConfig -from tests.unit_tests.core.workflow.graph_engine.test_mock_factory import MockNodeFactory -from tests.unit_tests.core.workflow.graph_engine.test_mock_nodes import MockCodeNode, MockTemplateTransformNode - -DEFAULT_CODE_LIMITS = CodeNodeLimits( - max_string_length=dify_config.CODE_MAX_STRING_LENGTH, - max_number=dify_config.CODE_MAX_NUMBER, - min_number=dify_config.CODE_MIN_NUMBER, - max_precision=dify_config.CODE_MAX_PRECISION, - max_depth=dify_config.CODE_MAX_DEPTH, - max_number_array_length=dify_config.CODE_MAX_NUMBER_ARRAY_LENGTH, - max_string_array_length=dify_config.CODE_MAX_STRING_ARRAY_LENGTH, - max_object_array_length=dify_config.CODE_MAX_OBJECT_ARRAY_LENGTH, -) - - -class _NoopCodeExecutor: - def execute(self, *, language: object, code: str, inputs: dict[str, object]) -> dict[str, object]: - _ = (language, code, inputs) - return {} - - def is_execution_error(self, error: Exception) -> bool: - _ = error - return False - - -class TestMockTemplateTransformNode: - """Test cases for MockTemplateTransformNode.""" - - def test_mock_template_transform_node_default_output(self): - """Test that MockTemplateTransformNode processes templates with Jinja2.""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create mock config - mock_config = MockConfig() - - # Create node config - node_config = { - "id": "template_node_1", - "data": { - "type": "template-transform", - "title": "Test Template Transform", - "variables": [], - "template": "Hello {{ name }}", - }, - } - - # Create mock node - mock_node = MockTemplateTransformNode( - id="template_node_1", - config=node_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - ) - - # Run the node - result = mock_node._run() - - # Verify results - assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert "output" in result.outputs - # The template "Hello {{ name }}" with no name variable renders as "Hello " - assert result.outputs["output"] == "Hello " - - def test_mock_template_transform_node_custom_output(self): - """Test that MockTemplateTransformNode returns custom configured output.""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create mock config with custom output - mock_config = ( - MockConfigBuilder().with_node_output("template_node_1", {"output": "Custom template output"}).build() - ) - - # Create node config - node_config = { - "id": "template_node_1", - "data": { - "type": "template-transform", - "title": "Test Template Transform", - "variables": [], - "template": "Hello {{ name }}", - }, - } - - # Create mock node - mock_node = MockTemplateTransformNode( - id="template_node_1", - config=node_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - ) - - # Run the node - result = mock_node._run() - - # Verify results - assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert "output" in result.outputs - assert result.outputs["output"] == "Custom template output" - - def test_mock_template_transform_node_error_simulation(self): - """Test that MockTemplateTransformNode can simulate errors.""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create mock config with error - mock_config = MockConfigBuilder().with_node_error("template_node_1", "Simulated template error").build() - - # Create node config - node_config = { - "id": "template_node_1", - "data": { - "type": "template-transform", - "title": "Test Template Transform", - "variables": [], - "template": "Hello {{ name }}", - }, - } - - # Create mock node - mock_node = MockTemplateTransformNode( - id="template_node_1", - config=node_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - ) - - # Run the node - result = mock_node._run() - - # Verify results - assert result.status == WorkflowNodeExecutionStatus.FAILED - assert result.error == "Simulated template error" - - def test_mock_template_transform_node_with_variables(self): - """Test that MockTemplateTransformNode processes templates with variables.""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - from graphon.variables import StringVariable - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - # Add a variable to the pool - variable_pool.add(["test", "name"], StringVariable(name="name", value="World", selector=["test", "name"])) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create mock config - mock_config = MockConfig() - - # Create node config with a variable - node_config = { - "id": "template_node_1", - "data": { - "type": "template-transform", - "title": "Test Template Transform", - "variables": [{"variable": "name", "value_selector": ["test", "name"]}], - "template": "Hello {{ name }}!", - }, - } - - # Create mock node - mock_node = MockTemplateTransformNode( - id="template_node_1", - config=node_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - ) - - # Run the node - result = mock_node._run() - - # Verify results - assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert "output" in result.outputs - assert result.outputs["output"] == "Hello World!" - - -class TestMockCodeNode: - """Test cases for MockCodeNode.""" - - def test_mock_code_node_default_output(self): - """Test that MockCodeNode returns default output.""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create mock config - mock_config = MockConfig() - - # Create node config - node_config = { - "id": "code_node_1", - "data": { - "type": "code", - "title": "Test Code", - "variables": [], - "code_language": "python3", - "code": "result = 'test'", - "outputs": {}, # Empty outputs for default case - }, - } - - # Create mock node - mock_node = MockCodeNode( - id="code_node_1", - config=node_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - code_executor=_NoopCodeExecutor(), - code_limits=DEFAULT_CODE_LIMITS, - ) - - # Run the node - result = mock_node._run() - - # Verify results - assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert "result" in result.outputs - assert result.outputs["result"] == "mocked code execution result" - - def test_mock_code_node_with_output_schema(self): - """Test that MockCodeNode generates outputs based on schema.""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create mock config - mock_config = MockConfig() - - # Create node config with output schema - node_config = { - "id": "code_node_1", - "data": { - "type": "code", - "title": "Test Code", - "variables": [], - "code_language": "python3", - "code": "name = 'test'\ncount = 42\nitems = ['a', 'b']", - "outputs": { - "name": {"type": "string"}, - "count": {"type": "number"}, - "items": {"type": "array[string]"}, - }, - }, - } - - # Create mock node - mock_node = MockCodeNode( - id="code_node_1", - config=node_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - code_executor=_NoopCodeExecutor(), - code_limits=DEFAULT_CODE_LIMITS, - ) - - # Run the node - result = mock_node._run() - - # Verify results - assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert "name" in result.outputs - assert result.outputs["name"] == "mocked_name" - assert "count" in result.outputs - assert result.outputs["count"] == 42 - assert "items" in result.outputs - assert result.outputs["items"] == ["item1", "item2"] - - def test_mock_code_node_custom_output(self): - """Test that MockCodeNode returns custom configured output.""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create mock config with custom output - mock_config = ( - MockConfigBuilder() - .with_node_output("code_node_1", {"result": "Custom code result", "status": "success"}) - .build() - ) - - # Create node config - node_config = { - "id": "code_node_1", - "data": { - "type": "code", - "title": "Test Code", - "variables": [], - "code_language": "python3", - "code": "result = 'test'", - "outputs": {}, # Empty outputs for default case - }, - } - - # Create mock node - mock_node = MockCodeNode( - id="code_node_1", - config=node_config, - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=mock_config, - code_executor=_NoopCodeExecutor(), - code_limits=DEFAULT_CODE_LIMITS, - ) - - # Run the node - result = mock_node._run() - - # Verify results - assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert "result" in result.outputs - assert result.outputs["result"] == "Custom code result" - assert "status" in result.outputs - assert result.outputs["status"] == "success" - - -class TestMockNodeFactory: - """Test cases for MockNodeFactory with new node types.""" - - def test_code_and_template_nodes_mocked_by_default(self): - """Test that CODE and TEMPLATE_TRANSFORM nodes are mocked by default (they require SSRF proxy).""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create factory - factory = MockNodeFactory( - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - # Verify that CODE and TEMPLATE_TRANSFORM ARE mocked by default (they require SSRF proxy) - assert factory.should_mock_node(BuiltinNodeTypes.CODE) - assert factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - # Verify that other third-party service nodes ARE also mocked by default - assert factory.should_mock_node(BuiltinNodeTypes.LLM) - assert factory.should_mock_node(BuiltinNodeTypes.AGENT) - - def test_factory_creates_mock_template_transform_node(self): - """Test that MockNodeFactory creates MockTemplateTransformNode for template-transform type.""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create factory - factory = MockNodeFactory( - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - # Create node config - node_config = { - "id": "template_node_1", - "data": { - "type": "template-transform", - "title": "Test Template", - "variables": [], - "template": "Hello {{ name }}", - }, - } - - # Create node through factory - node = factory.create_node(node_config) - - # Verify the correct mock type was created - assert isinstance(node, MockTemplateTransformNode) - assert factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - def test_factory_creates_mock_code_node(self): - """Test that MockNodeFactory creates MockCodeNode for code type.""" - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - # Create test parameters - graph_init_params = GraphInitParams( - workflow_id="test_workflow", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test_tenant", - "app_id": "test_app", - "user_id": "test_user", - "user_from": "account", - "invoke_from": "debugger", - } - }, - call_depth=0, - ) - - variable_pool = VariablePool( - system_variables=[], - user_inputs={}, - ) - - graph_runtime_state = GraphRuntimeState( - variable_pool=variable_pool, - start_at=0, - ) - - # Create factory - factory = MockNodeFactory( - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - ) - - # Create node config - node_config = { - "id": "code_node_1", - "data": { - "type": "code", - "title": "Test Code", - "variables": [], - "code_language": "python3", - "code": "result = 42", - "outputs": {}, # Required field for CodeNodeData - }, - } - - # Create node through factory - node = factory.create_node(node_config) - - # Verify the correct mock type was created - assert isinstance(node, MockCodeNode) - assert factory.should_mock_node(BuiltinNodeTypes.CODE) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_simple.py b/api/tests/unit_tests/core/workflow/graph_engine/test_mock_simple.py deleted file mode 100644 index cb5200f8dc..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_mock_simple.py +++ /dev/null @@ -1,231 +0,0 @@ -""" -Simple test to validate the auto-mock system without external dependencies. -""" - -import sys - -from core.app.entities.app_invoke_entities import DIFY_RUN_CONTEXT_KEY -from graphon.enums import BuiltinNodeTypes -from tests.unit_tests.core.workflow.graph_engine.test_mock_config import MockConfig, MockConfigBuilder, NodeMockConfig -from tests.unit_tests.core.workflow.graph_engine.test_mock_factory import MockNodeFactory - - -def test_mock_config_builder(): - """Test the MockConfigBuilder fluent interface.""" - print("Testing MockConfigBuilder...") - - config = ( - MockConfigBuilder() - .with_llm_response("LLM response") - .with_agent_response("Agent response") - .with_tool_response({"tool": "output"}) - .with_retrieval_response("Retrieval content") - .with_http_response({"status_code": 201, "body": "created"}) - .with_node_output("node1", {"output": "value"}) - .with_node_error("node2", "error message") - .with_delays(True) - .build() - ) - - assert config.default_llm_response == "LLM response" - assert config.default_agent_response == "Agent response" - assert config.default_tool_response == {"tool": "output"} - assert config.default_retrieval_response == "Retrieval content" - assert config.default_http_response == {"status_code": 201, "body": "created"} - assert config.simulate_delays is True - - node1_config = config.get_node_config("node1") - assert node1_config is not None - assert node1_config.outputs == {"output": "value"} - - node2_config = config.get_node_config("node2") - assert node2_config is not None - assert node2_config.error == "error message" - - print("✓ MockConfigBuilder test passed") - - -def test_mock_config_operations(): - """Test MockConfig operations.""" - print("Testing MockConfig operations...") - - config = MockConfig() - - # Test setting node outputs - config.set_node_outputs("test_node", {"result": "test_value"}) - node_config = config.get_node_config("test_node") - assert node_config is not None - assert node_config.outputs == {"result": "test_value"} - - # Test setting node error - config.set_node_error("error_node", "Test error") - error_config = config.get_node_config("error_node") - assert error_config is not None - assert error_config.error == "Test error" - - # Test default configs by node type - config.set_default_config(BuiltinNodeTypes.LLM, {"temperature": 0.7}) - llm_config = config.get_default_config(BuiltinNodeTypes.LLM) - assert llm_config == {"temperature": 0.7} - - print("✓ MockConfig operations test passed") - - -def test_node_mock_config(): - """Test NodeMockConfig.""" - print("Testing NodeMockConfig...") - - # Test with custom handler - def custom_handler(node): - return {"custom": "output"} - - node_config = NodeMockConfig( - node_id="test_node", outputs={"text": "test"}, error=None, delay=0.5, custom_handler=custom_handler - ) - - assert node_config.node_id == "test_node" - assert node_config.outputs == {"text": "test"} - assert node_config.delay == 0.5 - assert node_config.custom_handler is not None - - # Test custom handler - result = node_config.custom_handler(None) - assert result == {"custom": "output"} - - print("✓ NodeMockConfig test passed") - - -def test_mock_factory_detection(): - """Test MockNodeFactory node type detection.""" - from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - print("Testing MockNodeFactory detection...") - - graph_init_params = GraphInitParams( - workflow_id="test", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test", - "app_id": "test", - "user_id": "test", - "user_from": UserFrom.ACCOUNT, - "invoke_from": InvokeFrom.SERVICE_API, - } - }, - call_depth=0, - ) - graph_runtime_state = GraphRuntimeState( - variable_pool=VariablePool(environment_variables=[], conversation_variables=[], user_inputs={}), - start_at=0, - total_tokens=0, - node_run_steps=0, - ) - factory = MockNodeFactory( - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=None, - ) - - # Test that third-party service nodes are identified for mocking - assert factory.should_mock_node(BuiltinNodeTypes.LLM) - assert factory.should_mock_node(BuiltinNodeTypes.AGENT) - assert factory.should_mock_node(BuiltinNodeTypes.TOOL) - assert factory.should_mock_node(BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL) - assert factory.should_mock_node(BuiltinNodeTypes.HTTP_REQUEST) - assert factory.should_mock_node(BuiltinNodeTypes.PARAMETER_EXTRACTOR) - assert factory.should_mock_node(BuiltinNodeTypes.DOCUMENT_EXTRACTOR) - - # Test that CODE and TEMPLATE_TRANSFORM are mocked (they require SSRF proxy) - assert factory.should_mock_node(BuiltinNodeTypes.CODE) - assert factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - # Test that non-service nodes are not mocked - assert not factory.should_mock_node(BuiltinNodeTypes.START) - assert not factory.should_mock_node(BuiltinNodeTypes.END) - assert not factory.should_mock_node(BuiltinNodeTypes.IF_ELSE) - assert not factory.should_mock_node(BuiltinNodeTypes.VARIABLE_AGGREGATOR) - - print("✓ MockNodeFactory detection test passed") - - -def test_mock_factory_registration(): - """Test registering and unregistering mock node types.""" - from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom - from graphon.entities import GraphInitParams - from graphon.runtime import GraphRuntimeState, VariablePool - - print("Testing MockNodeFactory registration...") - - graph_init_params = GraphInitParams( - workflow_id="test", - graph_config={}, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "test", - "app_id": "test", - "user_id": "test", - "user_from": UserFrom.ACCOUNT, - "invoke_from": InvokeFrom.SERVICE_API, - } - }, - call_depth=0, - ) - graph_runtime_state = GraphRuntimeState( - variable_pool=VariablePool(environment_variables=[], conversation_variables=[], user_inputs={}), - start_at=0, - total_tokens=0, - node_run_steps=0, - ) - factory = MockNodeFactory( - graph_init_params=graph_init_params, - graph_runtime_state=graph_runtime_state, - mock_config=None, - ) - - # TEMPLATE_TRANSFORM is mocked by default (requires SSRF proxy) - assert factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - # Unregister mock - factory.unregister_mock_node_type(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - assert not factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - # Register custom mock (using a dummy class for testing) - class DummyMockNode: - pass - - factory.register_mock_node_type(BuiltinNodeTypes.TEMPLATE_TRANSFORM, DummyMockNode) - assert factory.should_mock_node(BuiltinNodeTypes.TEMPLATE_TRANSFORM) - - print("✓ MockNodeFactory registration test passed") - - -def run_all_tests(): - """Run all tests.""" - print("\n=== Running Auto-Mock System Tests ===\n") - - try: - test_mock_config_builder() - test_mock_config_operations() - test_node_mock_config() - test_mock_factory_detection() - test_mock_factory_registration() - - print("\n=== All tests passed! ✅ ===\n") - return True - except AssertionError as e: - print(f"\n❌ Test failed: {e}") - return False - except Exception as e: - print(f"\n❌ Unexpected error: {e}") - import traceback - - traceback.print_exc() - return False - - -if __name__ == "__main__": - success = run_all_tests() - sys.exit(0 if success else 1) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_human_input_join_resume.py b/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_human_input_join_resume.py index 37b43bd374..8311a1e847 100644 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_human_input_join_resume.py +++ b/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_human_input_join_resume.py @@ -4,18 +4,10 @@ from dataclasses import dataclass from datetime import datetime, timedelta from typing import Any, Protocol -from core.repositories.human_input_repository import ( - FormCreateParams, - HumanInputFormEntity, - HumanInputFormRepository, -) -from core.workflow.node_runtime import DifyHumanInputNodeRuntime -from core.workflow.system_variables import build_system_variables -from graphon.entities.workflow_start_reason import WorkflowStartReason +from graphon.entities import WorkflowStartReason from graphon.graph import Graph -from graphon.graph_engine.command_channels.in_memory_channel import InMemoryChannel -from graphon.graph_engine.config import GraphEngineConfig -from graphon.graph_engine.graph_engine import GraphEngine +from graphon.graph_engine import GraphEngine, GraphEngineConfig +from graphon.graph_engine.command_channels import InMemoryChannel from graphon.graph_events import ( GraphRunPausedEvent, GraphRunStartedEvent, @@ -31,6 +23,14 @@ from graphon.nodes.human_input.human_input_node import HumanInputNode from graphon.nodes.start.entities import StartNodeData from graphon.nodes.start.start_node import StartNode from graphon.runtime import GraphRuntimeState, VariablePool + +from core.repositories.human_input_repository import ( + FormCreateParams, + HumanInputFormEntity, + HumanInputFormRepository, +) +from core.workflow.node_runtime import DifyHumanInputNodeRuntime +from core.workflow.system_variables import build_system_variables from libs.datetime_utils import naive_utc_now from tests.workflow_test_utils import build_test_graph_init_params diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_human_input_pause_missing_finish.py b/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_human_input_pause_missing_finish.py deleted file mode 100644 index 59e54bd39a..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_human_input_pause_missing_finish.py +++ /dev/null @@ -1,336 +0,0 @@ -import time -from collections.abc import Mapping -from dataclasses import dataclass -from datetime import datetime, timedelta -from typing import Any - -from core.repositories.human_input_repository import ( - FormCreateParams, - HumanInputFormEntity, - HumanInputFormRepository, -) -from core.workflow.node_runtime import DifyHumanInputNodeRuntime -from core.workflow.system_variables import build_system_variables -from graphon.entities.workflow_start_reason import WorkflowStartReason -from graphon.graph import Graph -from graphon.graph_engine.command_channels.in_memory_channel import InMemoryChannel -from graphon.graph_engine.config import GraphEngineConfig -from graphon.graph_engine.graph_engine import GraphEngine -from graphon.graph_events import ( - GraphRunPausedEvent, - GraphRunStartedEvent, - NodeRunPauseRequestedEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, -) -from graphon.model_runtime.entities.llm_entities import LLMMode -from graphon.model_runtime.entities.message_entities import PromptMessageRole -from graphon.nodes.human_input.entities import HumanInputNodeData, UserAction -from graphon.nodes.human_input.enums import HumanInputFormStatus -from graphon.nodes.human_input.human_input_node import HumanInputNode -from graphon.nodes.llm.entities import ( - ContextConfig, - LLMNodeChatModelMessage, - LLMNodeData, - ModelConfig, - VisionConfig, -) -from graphon.nodes.start.entities import StartNodeData -from graphon.nodes.start.start_node import StartNode -from graphon.runtime import GraphRuntimeState, VariablePool -from libs.datetime_utils import naive_utc_now -from tests.workflow_test_utils import build_test_graph_init_params - -from .test_mock_config import MockConfig, NodeMockConfig -from .test_mock_nodes import MockLLMNode - - -@dataclass -class StaticForm(HumanInputFormEntity): - form_id: str - rendered: str - is_submitted: bool - action_id: str | None = None - data: Mapping[str, Any] | None = None - status_value: HumanInputFormStatus = HumanInputFormStatus.WAITING - expiration: datetime = naive_utc_now() + timedelta(days=1) - - @property - def id(self) -> str: - return self.form_id - - @property - def submission_token(self) -> str | None: - return "token" - - @property - def recipients(self) -> list: - return [] - - @property - def rendered_content(self) -> str: - return self.rendered - - @property - def selected_action_id(self) -> str | None: - return self.action_id - - @property - def submitted_data(self) -> Mapping[str, Any] | None: - return self.data - - @property - def submitted(self) -> bool: - return self.is_submitted - - @property - def status(self) -> HumanInputFormStatus: - return self.status_value - - @property - def expiration_time(self) -> datetime: - return self.expiration - - -class StaticRepo(HumanInputFormRepository): - def __init__(self, forms_by_node_id: Mapping[str, HumanInputFormEntity]) -> None: - self._forms_by_node_id = dict(forms_by_node_id) - - def get_form(self, node_id: str) -> HumanInputFormEntity | None: - return self._forms_by_node_id.get(node_id) - - def create_form(self, params: FormCreateParams) -> HumanInputFormEntity: - raise AssertionError("create_form should not be called in resume scenario") - - -class DelayedHumanInputNode(HumanInputNode): - def __init__(self, delay_seconds: float, **kwargs: Any) -> None: - super().__init__(**kwargs) - self._delay_seconds = delay_seconds - - def _run(self): - if self._delay_seconds > 0: - time.sleep(self._delay_seconds) - yield from super()._run() - - -def _build_runtime_state() -> GraphRuntimeState: - variable_pool = VariablePool( - system_variables=build_system_variables( - user_id="user", - app_id="app", - workflow_id="workflow", - workflow_execution_id="exec-1", - ), - user_inputs={}, - conversation_variables=[], - ) - return GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - - -def _build_graph(runtime_state: GraphRuntimeState, repo: HumanInputFormRepository, mock_config: MockConfig) -> Graph: - graph_config: dict[str, object] = {"nodes": [], "edges": []} - graph_init_params = build_test_graph_init_params( - workflow_id="workflow", - graph_config=graph_config, - tenant_id="tenant", - app_id="app", - user_id="user", - user_from="account", - invoke_from="debugger", - call_depth=0, - ) - - start_config = {"id": "start", "data": StartNodeData(title="Start", variables=[]).model_dump()} - start_node = StartNode( - id=start_config["id"], - config=start_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - ) - - human_data = HumanInputNodeData( - title="Human Input", - form_content="Human input required", - inputs=[], - user_actions=[UserAction(id="approve", title="Approve")], - ) - - human_a_config = {"id": "human_a", "data": human_data.model_dump()} - human_a = HumanInputNode( - id=human_a_config["id"], - config=human_a_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - form_repository=repo, - runtime=DifyHumanInputNodeRuntime(graph_init_params.run_context), - ) - - human_b_config = {"id": "human_b", "data": human_data.model_dump()} - human_b = DelayedHumanInputNode( - id=human_b_config["id"], - config=human_b_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - form_repository=repo, - runtime=DifyHumanInputNodeRuntime(graph_init_params.run_context), - delay_seconds=0.2, - ) - - llm_data = LLMNodeData( - title="LLM A", - model=ModelConfig(provider="openai", name="gpt-3.5-turbo", mode=LLMMode.CHAT, completion_params={}), - prompt_template=[ - LLMNodeChatModelMessage( - text="Prompt A", - role=PromptMessageRole.USER, - edition_type="basic", - ) - ], - context=ContextConfig(enabled=False, variable_selector=None), - vision=VisionConfig(enabled=False), - reasoning_format="tagged", - structured_output_enabled=False, - ) - llm_config = {"id": "llm_a", "data": llm_data.model_dump()} - llm_a = MockLLMNode( - id=llm_config["id"], - config=llm_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - mock_config=mock_config, - ) - - return ( - Graph.new() - .add_root(start_node) - .add_node(human_a, from_node_id="start") - .add_node(human_b, from_node_id="start") - .add_node(llm_a, from_node_id="human_a", source_handle="approve") - .build() - ) - - -def test_parallel_human_input_pause_preserves_node_finished() -> None: - runtime_state = _build_runtime_state() - - runtime_state.graph_execution.start() - runtime_state.register_paused_node("human_a") - runtime_state.register_paused_node("human_b") - - submitted = StaticForm( - form_id="form-a", - rendered="rendered", - is_submitted=True, - action_id="approve", - data={}, - status_value=HumanInputFormStatus.SUBMITTED, - ) - pending = StaticForm( - form_id="form-b", - rendered="rendered", - is_submitted=False, - action_id=None, - data=None, - status_value=HumanInputFormStatus.WAITING, - ) - repo = StaticRepo({"human_a": submitted, "human_b": pending}) - - mock_config = MockConfig() - mock_config.simulate_delays = True - mock_config.set_node_config( - "llm_a", - NodeMockConfig(node_id="llm_a", outputs={"text": "LLM A output"}, delay=0.5), - ) - - graph = _build_graph(runtime_state, repo, mock_config) - engine = GraphEngine( - workflow_id="workflow", - graph=graph, - graph_runtime_state=runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig( - min_workers=2, - max_workers=2, - scale_up_threshold=1, - scale_down_idle_time=30.0, - ), - ) - - events = list(engine.run()) - - llm_started = any(isinstance(e, NodeRunStartedEvent) and e.node_id == "llm_a" for e in events) - llm_succeeded = any(isinstance(e, NodeRunSucceededEvent) and e.node_id == "llm_a" for e in events) - human_b_pause = any(isinstance(e, NodeRunPauseRequestedEvent) and e.node_id == "human_b" for e in events) - graph_paused = any(isinstance(e, GraphRunPausedEvent) for e in events) - graph_started = any(isinstance(e, GraphRunStartedEvent) for e in events) - - assert graph_started - assert graph_paused - assert human_b_pause - assert llm_started - assert llm_succeeded - - -def test_parallel_human_input_pause_preserves_node_finished_after_snapshot_resume() -> None: - base_state = _build_runtime_state() - base_state.graph_execution.start() - base_state.register_paused_node("human_a") - base_state.register_paused_node("human_b") - snapshot = base_state.dumps() - - resumed_state = GraphRuntimeState.from_snapshot(snapshot) - - submitted = StaticForm( - form_id="form-a", - rendered="rendered", - is_submitted=True, - action_id="approve", - data={}, - status_value=HumanInputFormStatus.SUBMITTED, - ) - pending = StaticForm( - form_id="form-b", - rendered="rendered", - is_submitted=False, - action_id=None, - data=None, - status_value=HumanInputFormStatus.WAITING, - ) - repo = StaticRepo({"human_a": submitted, "human_b": pending}) - - mock_config = MockConfig() - mock_config.simulate_delays = True - mock_config.set_node_config( - "llm_a", - NodeMockConfig(node_id="llm_a", outputs={"text": "LLM A output"}, delay=0.5), - ) - - graph = _build_graph(resumed_state, repo, mock_config) - engine = GraphEngine( - workflow_id="workflow", - graph=graph, - graph_runtime_state=resumed_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig( - min_workers=2, - max_workers=2, - scale_up_threshold=1, - scale_down_idle_time=30.0, - ), - ) - - events = list(engine.run()) - - start_event = next(e for e in events if isinstance(e, GraphRunStartedEvent)) - assert start_event.reason is WorkflowStartReason.RESUMPTION - - llm_started = any(isinstance(e, NodeRunStartedEvent) and e.node_id == "llm_a" for e in events) - llm_succeeded = any(isinstance(e, NodeRunSucceededEvent) and e.node_id == "llm_a" for e in events) - human_b_pause = any(isinstance(e, NodeRunPauseRequestedEvent) and e.node_id == "human_b" for e in events) - graph_paused = any(isinstance(e, GraphRunPausedEvent) for e in events) - - assert graph_paused - assert human_b_pause - assert llm_started - assert llm_succeeded diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_streaming_workflow.py b/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_streaming_workflow.py deleted file mode 100644 index 1a43734462..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_parallel_streaming_workflow.py +++ /dev/null @@ -1,286 +0,0 @@ -""" -Test for parallel streaming workflow behavior. - -This test validates that: -- LLM 1 always speaks English -- LLM 2 always speaks Chinese -- 2 LLMs run parallel, but LLM 2 will output before LLM 1 -- All chunks should be sent before Answer Node started -""" - -import time -from unittest.mock import MagicMock, patch -from uuid import uuid4 - -from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom -from core.model_manager import ModelInstance -from core.workflow.node_factory import DifyNodeFactory, get_default_root_node_id -from core.workflow.system_variables import build_system_variables -from graphon.enums import BuiltinNodeTypes, WorkflowNodeExecutionStatus -from graphon.graph import Graph -from graphon.graph_engine import GraphEngine, GraphEngineConfig -from graphon.graph_engine.command_channels import InMemoryChannel -from graphon.graph_events import ( - GraphRunSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, -) -from graphon.node_events import NodeRunResult, StreamCompletedEvent -from graphon.nodes.llm.node import LLMNode -from graphon.runtime import GraphRuntimeState, VariablePool -from tests.workflow_test_utils import build_test_graph_init_params - -from .test_table_runner import TableTestRunner - - -def create_llm_generator_with_delay(chunks: list[str], delay: float = 0.1): - """Create a generator that simulates LLM streaming output with delay""" - - def llm_generator(self): - for i, chunk in enumerate(chunks): - time.sleep(delay) # Simulate network delay - yield NodeRunStreamChunkEvent( - id=str(uuid4()), - node_id=self.id, - node_type=self.node_type, - selector=[self.id, "text"], - chunk=chunk, - is_final=i == len(chunks) - 1, - ) - - # Complete response - full_text = "".join(chunks) - yield StreamCompletedEvent( - node_run_result=NodeRunResult( - status=WorkflowNodeExecutionStatus.SUCCEEDED, - outputs={"text": full_text}, - ) - ) - - return llm_generator - - -def test_parallel_streaming_workflow(): - """ - Test parallel streaming workflow to verify: - 1. All chunks from LLM 2 are output before LLM 1 - 2. At least one chunk from LLM 2 is output before LLM 1 completes (Success) - 3. At least one chunk from LLM 1 is output before LLM 2 completes (EXPECTED TO FAIL) - 4. All chunks are output before End begins - 5. The final output content matches the order defined in the Answer - - Test setup: - - LLM 1 outputs English (slower) - - LLM 2 outputs Chinese (faster) - - Both run in parallel - - This test is expected to FAIL because chunks are currently buffered - until after node completion instead of streaming during execution. - """ - runner = TableTestRunner() - - # Load the workflow configuration - fixture_data = runner.workflow_runner.load_fixture("multilingual_parallel_llm_streaming_workflow") - workflow_config = fixture_data.get("workflow", {}) - graph_config = workflow_config.get("graph", {}) - - # Create graph initialization parameters - init_params = build_test_graph_init_params( - workflow_id="test_workflow", - graph_config=graph_config, - tenant_id="test_tenant", - app_id="test_app", - user_id="test_user", - user_from=UserFrom.ACCOUNT, - invoke_from=InvokeFrom.WEB_APP, - call_depth=0, - ) - - # Create variable pool with system variables - system_variables = build_system_variables( - user_id="test_user", - app_id="test_app", - workflow_id=init_params.workflow_id, - files=[], - query="Tell me about yourself", # User query - ) - variable_pool = VariablePool( - system_variables=system_variables, - user_inputs={}, - ) - - # Create graph runtime state - graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - - # Create node factory and graph - node_factory = DifyNodeFactory(graph_init_params=init_params, graph_runtime_state=graph_runtime_state) - with patch.object( - DifyNodeFactory, "_build_model_instance_for_llm_node", return_value=MagicMock(spec=ModelInstance), autospec=True - ): - graph = Graph.init( - graph_config=graph_config, - node_factory=node_factory, - root_node_id=get_default_root_node_id(graph_config), - ) - - # Create the graph engine - engine = GraphEngine( - workflow_id="test_workflow", - graph=graph, - graph_runtime_state=graph_runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig(), - ) - - # Define LLM outputs - llm1_chunks = ["Hello", ", ", "I", " ", "am", " ", "an", " ", "AI", " ", "assistant", "."] # English (slower) - llm2_chunks = ["你好", "，", "我", "是", "AI", "助手", "。"] # Chinese (faster) - - # Create generators with different delays (LLM 2 is faster) - llm1_generator = create_llm_generator_with_delay(llm1_chunks, delay=0.05) # Slower - llm2_generator = create_llm_generator_with_delay(llm2_chunks, delay=0.01) # Faster - - # Track which LLM node is being called - llm_call_order = [] - generators = { - "1754339718571": llm1_generator, # LLM 1 node ID - "1754339725656": llm2_generator, # LLM 2 node ID - } - - def mock_llm_run(self): - llm_call_order.append(self.id) - generator = generators.get(self.id) - if generator: - yield from generator(self) - else: - raise Exception(f"Unexpected LLM node ID: {self.id}") - - # Execute with mocked LLMs - with patch.object(LLMNode, "_run", new=mock_llm_run): - events = list(engine.run()) - - # Check for successful completion - success_events = [e for e in events if isinstance(e, GraphRunSucceededEvent)] - assert len(success_events) > 0, "Workflow should complete successfully" - - # Get all streaming chunk events - stream_chunk_events = [e for e in events if isinstance(e, NodeRunStreamChunkEvent)] - - # Get Answer node start event - answer_start_events = [ - e for e in events if isinstance(e, NodeRunStartedEvent) and e.node_type == BuiltinNodeTypes.ANSWER - ] - assert len(answer_start_events) == 1, f"Expected 1 Answer node start event, got {len(answer_start_events)}" - answer_start_event = answer_start_events[0] - - # Find the index of Answer node start - answer_start_index = events.index(answer_start_event) - - # Collect chunk events by node - llm1_chunks_events = [e for e in stream_chunk_events if e.node_id == "1754339718571"] - llm2_chunks_events = [e for e in stream_chunk_events if e.node_id == "1754339725656"] - - # Verify both LLMs produced chunks - assert len(llm1_chunks_events) == len(llm1_chunks), ( - f"Expected {len(llm1_chunks)} chunks from LLM 1, got {len(llm1_chunks_events)}" - ) - assert len(llm2_chunks_events) == len(llm2_chunks), ( - f"Expected {len(llm2_chunks)} chunks from LLM 2, got {len(llm2_chunks_events)}" - ) - - # 1. Verify chunk ordering based on actual implementation - llm1_chunk_indices = [events.index(e) for e in llm1_chunks_events] - llm2_chunk_indices = [events.index(e) for e in llm2_chunks_events] - - # In the current implementation, chunks may be interleaved or in a specific order - # Update this based on actual behavior observed - if llm1_chunk_indices and llm2_chunk_indices: - # Check the actual ordering - if LLM 2 chunks come first (as seen in debug) - assert max(llm2_chunk_indices) < min(llm1_chunk_indices), ( - f"All LLM 2 chunks should be output before LLM 1 chunks. " - f"LLM 2 chunk indices: {llm2_chunk_indices}, LLM 1 chunk indices: {llm1_chunk_indices}" - ) - - # Get indices of all chunk events - chunk_indices = [events.index(e) for e in stream_chunk_events if e in llm1_chunks_events + llm2_chunks_events] - - # 4. Verify all chunks were sent before Answer node started - assert all(idx < answer_start_index for idx in chunk_indices), ( - "All LLM chunks should be sent before Answer node starts" - ) - - # The test has successfully verified: - # 1. Both LLMs run in parallel (they start at the same time) - # 2. LLM 2 (Chinese) outputs all its chunks before LLM 1 (English) due to faster processing - # 3. All LLM chunks are sent before the Answer node starts - - # Get LLM completion events - llm_completed_events = [ - (i, e) - for i, e in enumerate(events) - if isinstance(e, NodeRunSucceededEvent) and e.node_type == BuiltinNodeTypes.LLM - ] - - # Check LLM completion order - in the current implementation, LLMs run sequentially - # LLM 1 completes first, then LLM 2 runs and completes - assert len(llm_completed_events) == 2, f"Expected 2 LLM completion events, got {len(llm_completed_events)}" - llm2_complete_idx = next((i for i, e in llm_completed_events if e.node_id == "1754339725656"), None) - llm1_complete_idx = next((i for i, e in llm_completed_events if e.node_id == "1754339718571"), None) - assert llm2_complete_idx is not None, "LLM 2 completion event not found" - assert llm1_complete_idx is not None, "LLM 1 completion event not found" - # In the actual implementation, LLM 1 completes before LLM 2 (sequential execution) - assert llm1_complete_idx < llm2_complete_idx, ( - f"LLM 1 should complete before LLM 2 in sequential execution, but LLM 1 completed at {llm1_complete_idx} " - f"and LLM 2 completed at {llm2_complete_idx}" - ) - - # 2. In sequential execution, LLM 2 chunks appear AFTER LLM 1 completes - if llm2_chunk_indices: - # LLM 1 completes first, then LLM 2 starts streaming - assert min(llm2_chunk_indices) > llm1_complete_idx, ( - f"LLM 2 chunks should appear after LLM 1 completes in sequential execution. " - f"First LLM 2 chunk at index {min(llm2_chunk_indices)}, LLM 1 completed at index {llm1_complete_idx}" - ) - - # 3. In the current implementation, LLM 1 chunks appear after LLM 2 completes - # This is because chunks are buffered and output after both nodes complete - if llm1_chunk_indices and llm2_complete_idx: - # Check if LLM 1 chunks exist and where they appear relative to LLM 2 completion - # In current behavior, LLM 1 chunks typically appear after LLM 2 completes - pass # Skipping this check as the chunk ordering is implementation-dependent - - # CURRENT BEHAVIOR: Chunks are buffered and appear after node completion - # In the sequential execution, LLM 1 completes first without streaming, - # then LLM 2 streams its chunks - assert stream_chunk_events, "Expected streaming events, but got none" - - first_chunk_index = events.index(stream_chunk_events[0]) - llm_success_indices = [i for i, e in llm_completed_events] - - # Current implementation: LLM 1 completes first, then chunks start appearing - # This is the actual behavior we're testing - if llm_success_indices: - # At least one LLM (LLM 1) completes before any chunks appear - assert min(llm_success_indices) < first_chunk_index, ( - f"In current implementation, LLM 1 completes before chunks start streaming. " - f"First chunk at index {first_chunk_index}, LLM 1 completed at index {min(llm_success_indices)}" - ) - - # 5. Verify final output content matches the order defined in Answer node - # According to Answer node configuration: '{{#1754339725656.text#}}{{#1754339718571.text#}}' - # This means LLM 2 output should come first, then LLM 1 output - answer_complete_events = [ - e for e in events if isinstance(e, NodeRunSucceededEvent) and e.node_type == BuiltinNodeTypes.ANSWER - ] - assert len(answer_complete_events) == 1, f"Expected 1 Answer completion event, got {len(answer_complete_events)}" - - answer_outputs = answer_complete_events[0].node_run_result.outputs - expected_answer_text = "你好，我是AI助手。Hello, I am an AI assistant." - - if "answer" in answer_outputs: - actual_answer_text = answer_outputs["answer"] - assert actual_answer_text == expected_answer_text, ( - f"Answer content should match the order defined in Answer node. " - f"Expected: '{expected_answer_text}', Got: '{actual_answer_text}'" - ) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_pause_deferred_ready_nodes.py b/api/tests/unit_tests/core/workflow/graph_engine/test_pause_deferred_ready_nodes.py deleted file mode 100644 index bcf123ee80..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_pause_deferred_ready_nodes.py +++ /dev/null @@ -1,311 +0,0 @@ -import time -from collections.abc import Mapping -from dataclasses import dataclass -from datetime import datetime, timedelta -from typing import Any - -from core.repositories.human_input_repository import ( - FormCreateParams, - HumanInputFormEntity, - HumanInputFormRepository, -) -from core.workflow.node_runtime import DifyHumanInputNodeRuntime -from core.workflow.system_variables import build_system_variables -from graphon.entities.workflow_start_reason import WorkflowStartReason -from graphon.graph import Graph -from graphon.graph_engine.command_channels.in_memory_channel import InMemoryChannel -from graphon.graph_engine.config import GraphEngineConfig -from graphon.graph_engine.graph_engine import GraphEngine -from graphon.graph_events import ( - GraphRunPausedEvent, - GraphRunStartedEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, -) -from graphon.model_runtime.entities.llm_entities import LLMMode -from graphon.model_runtime.entities.message_entities import PromptMessageRole -from graphon.nodes.end.end_node import EndNode -from graphon.nodes.end.entities import EndNodeData -from graphon.nodes.human_input.entities import HumanInputNodeData, UserAction -from graphon.nodes.human_input.enums import HumanInputFormStatus -from graphon.nodes.human_input.human_input_node import HumanInputNode -from graphon.nodes.llm.entities import ( - ContextConfig, - LLMNodeChatModelMessage, - LLMNodeData, - ModelConfig, - VisionConfig, -) -from graphon.nodes.start.entities import StartNodeData -from graphon.nodes.start.start_node import StartNode -from graphon.runtime import GraphRuntimeState, VariablePool -from libs.datetime_utils import naive_utc_now -from tests.workflow_test_utils import build_test_graph_init_params - -from .test_mock_config import MockConfig, NodeMockConfig -from .test_mock_nodes import MockLLMNode - - -@dataclass -class StaticForm(HumanInputFormEntity): - form_id: str - rendered: str - is_submitted: bool - action_id: str | None = None - data: Mapping[str, Any] | None = None - status_value: HumanInputFormStatus = HumanInputFormStatus.WAITING - expiration: datetime = naive_utc_now() + timedelta(days=1) - - @property - def id(self) -> str: - return self.form_id - - @property - def submission_token(self) -> str | None: - return "token" - - @property - def recipients(self) -> list: - return [] - - @property - def rendered_content(self) -> str: - return self.rendered - - @property - def selected_action_id(self) -> str | None: - return self.action_id - - @property - def submitted_data(self) -> Mapping[str, Any] | None: - return self.data - - @property - def submitted(self) -> bool: - return self.is_submitted - - @property - def status(self) -> HumanInputFormStatus: - return self.status_value - - @property - def expiration_time(self) -> datetime: - return self.expiration - - -class StaticRepo(HumanInputFormRepository): - def __init__(self, form: HumanInputFormEntity) -> None: - self._form = form - - def get_form(self, node_id: str) -> HumanInputFormEntity | None: - if node_id != "human_pause": - return None - return self._form - - def create_form(self, params: FormCreateParams) -> HumanInputFormEntity: - raise AssertionError("create_form should not be called in this test") - - -def _build_runtime_state() -> GraphRuntimeState: - variable_pool = VariablePool( - system_variables=build_system_variables( - user_id="user", - app_id="app", - workflow_id="workflow", - workflow_execution_id="exec-1", - ), - user_inputs={}, - conversation_variables=[], - ) - return GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - - -def _build_graph(runtime_state: GraphRuntimeState, repo: HumanInputFormRepository, mock_config: MockConfig) -> Graph: - graph_config: dict[str, object] = {"nodes": [], "edges": []} - graph_init_params = build_test_graph_init_params( - workflow_id="workflow", - graph_config=graph_config, - tenant_id="tenant", - app_id="app", - user_id="user", - user_from="account", - invoke_from="debugger", - call_depth=0, - ) - - start_config = {"id": "start", "data": StartNodeData(title="Start", variables=[]).model_dump()} - start_node = StartNode( - id=start_config["id"], - config=start_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - ) - - llm_a_data = LLMNodeData( - title="LLM A", - model=ModelConfig(provider="openai", name="gpt-3.5-turbo", mode=LLMMode.CHAT, completion_params={}), - prompt_template=[ - LLMNodeChatModelMessage( - text="Prompt A", - role=PromptMessageRole.USER, - edition_type="basic", - ) - ], - context=ContextConfig(enabled=False, variable_selector=None), - vision=VisionConfig(enabled=False), - reasoning_format="tagged", - structured_output_enabled=False, - ) - llm_a_config = {"id": "llm_a", "data": llm_a_data.model_dump()} - llm_a = MockLLMNode( - id=llm_a_config["id"], - config=llm_a_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - mock_config=mock_config, - ) - - llm_b_data = LLMNodeData( - title="LLM B", - model=ModelConfig(provider="openai", name="gpt-3.5-turbo", mode=LLMMode.CHAT, completion_params={}), - prompt_template=[ - LLMNodeChatModelMessage( - text="Prompt B", - role=PromptMessageRole.USER, - edition_type="basic", - ) - ], - context=ContextConfig(enabled=False, variable_selector=None), - vision=VisionConfig(enabled=False), - reasoning_format="tagged", - structured_output_enabled=False, - ) - llm_b_config = {"id": "llm_b", "data": llm_b_data.model_dump()} - llm_b = MockLLMNode( - id=llm_b_config["id"], - config=llm_b_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - mock_config=mock_config, - ) - - human_data = HumanInputNodeData( - title="Human Input", - form_content="Pause here", - inputs=[], - user_actions=[UserAction(id="approve", title="Approve")], - ) - human_config = {"id": "human_pause", "data": human_data.model_dump()} - human_node = HumanInputNode( - id=human_config["id"], - config=human_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - form_repository=repo, - runtime=DifyHumanInputNodeRuntime(graph_init_params.run_context), - ) - - end_human_data = EndNodeData(title="End Human", outputs=[], desc=None) - end_human_config = {"id": "end_human", "data": end_human_data.model_dump()} - end_human = EndNode( - id=end_human_config["id"], - config=end_human_config, - graph_init_params=graph_init_params, - graph_runtime_state=runtime_state, - ) - - return ( - Graph.new() - .add_root(start_node) - .add_node(llm_a, from_node_id="start") - .add_node(human_node, from_node_id="start") - .add_node(llm_b, from_node_id="llm_a") - .add_node(end_human, from_node_id="human_pause", source_handle="approve") - .build() - ) - - -def _get_node_started_event(events: list[object], node_id: str) -> NodeRunStartedEvent | None: - for event in events: - if isinstance(event, NodeRunStartedEvent) and event.node_id == node_id: - return event - return None - - -def test_pause_defers_ready_nodes_until_resume() -> None: - runtime_state = _build_runtime_state() - - paused_form = StaticForm( - form_id="form-pause", - rendered="rendered", - is_submitted=False, - status_value=HumanInputFormStatus.WAITING, - ) - pause_repo = StaticRepo(paused_form) - - mock_config = MockConfig() - mock_config.simulate_delays = True - mock_config.set_node_config( - "llm_a", - NodeMockConfig(node_id="llm_a", outputs={"text": "LLM A output"}, delay=0.5), - ) - mock_config.set_node_config( - "llm_b", - NodeMockConfig(node_id="llm_b", outputs={"text": "LLM B output"}, delay=0.0), - ) - - graph = _build_graph(runtime_state, pause_repo, mock_config) - engine = GraphEngine( - workflow_id="workflow", - graph=graph, - graph_runtime_state=runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig( - min_workers=2, - max_workers=2, - scale_up_threshold=1, - scale_down_idle_time=30.0, - ), - ) - - paused_events = list(engine.run()) - - assert any(isinstance(e, GraphRunPausedEvent) for e in paused_events) - assert any(isinstance(e, NodeRunSucceededEvent) and e.node_id == "llm_a" for e in paused_events) - assert _get_node_started_event(paused_events, "llm_b") is None - - snapshot = runtime_state.dumps() - resumed_state = GraphRuntimeState.from_snapshot(snapshot) - - submitted_form = StaticForm( - form_id="form-pause", - rendered="rendered", - is_submitted=True, - action_id="approve", - data={}, - status_value=HumanInputFormStatus.SUBMITTED, - ) - resume_repo = StaticRepo(submitted_form) - - resumed_graph = _build_graph(resumed_state, resume_repo, mock_config) - resumed_engine = GraphEngine( - workflow_id="workflow", - graph=resumed_graph, - graph_runtime_state=resumed_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig( - min_workers=2, - max_workers=2, - scale_up_threshold=1, - scale_down_idle_time=30.0, - ), - ) - - resumed_events = list(resumed_engine.run()) - - start_event = next(e for e in resumed_events if isinstance(e, GraphRunStartedEvent)) - assert start_event.reason is WorkflowStartReason.RESUMPTION - - llm_b_started = _get_node_started_event(resumed_events, "llm_b") - assert llm_b_started is not None - assert any(isinstance(e, NodeRunSucceededEvent) and e.node_id == "llm_b" for e in resumed_events) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_pause_resume_state.py b/api/tests/unit_tests/core/workflow/graph_engine/test_pause_resume_state.py deleted file mode 100644 index 79d3d5bcfe..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_pause_resume_state.py +++ /dev/null @@ -1,219 +0,0 @@ -import datetime -import time -from typing import Any -from unittest.mock import MagicMock - -from core.repositories.human_input_repository import ( - HumanInputFormEntity, - HumanInputFormRepository, -) -from core.workflow.node_runtime import DifyHumanInputNodeRuntime -from core.workflow.system_variables import build_system_variables -from graphon.entities.workflow_start_reason import WorkflowStartReason -from graphon.graph import Graph -from graphon.graph_engine.command_channels.in_memory_channel import InMemoryChannel -from graphon.graph_engine.graph_engine import GraphEngine -from graphon.graph_events import ( - GraphEngineEvent, - GraphRunPausedEvent, - GraphRunSucceededEvent, - NodeRunStartedEvent, - NodeRunSucceededEvent, -) -from graphon.graph_events.graph import GraphRunStartedEvent -from graphon.nodes.base.entities import OutputVariableEntity -from graphon.nodes.end.end_node import EndNode -from graphon.nodes.end.entities import EndNodeData -from graphon.nodes.human_input.entities import HumanInputNodeData, UserAction -from graphon.nodes.human_input.human_input_node import HumanInputNode -from graphon.nodes.start.entities import StartNodeData -from graphon.nodes.start.start_node import StartNode -from graphon.runtime import GraphRuntimeState, VariablePool -from libs.datetime_utils import naive_utc_now -from tests.workflow_test_utils import build_test_graph_init_params - - -def _build_runtime_state() -> GraphRuntimeState: - variable_pool = VariablePool( - system_variables=build_system_variables( - user_id="user", - app_id="app", - workflow_id="workflow", - workflow_execution_id="test-execution-id", - ), - user_inputs={}, - conversation_variables=[], - ) - return GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - - -def _mock_form_repository_with_submission(action_id: str) -> HumanInputFormRepository: - repo = MagicMock(spec=HumanInputFormRepository) - form_entity = MagicMock(spec=HumanInputFormEntity) - form_entity.id = "test-form-id" - form_entity.submission_token = "test-form-token" - form_entity.recipients = [] - form_entity.rendered_content = "rendered" - form_entity.submitted = True - form_entity.selected_action_id = action_id - form_entity.submitted_data = {} - form_entity.expiration_time = naive_utc_now() + datetime.timedelta(days=1) - repo.get_form.return_value = form_entity - return repo - - -def _mock_form_repository_without_submission() -> HumanInputFormRepository: - repo = MagicMock(spec=HumanInputFormRepository) - form_entity = MagicMock(spec=HumanInputFormEntity) - form_entity.id = "test-form-id" - form_entity.submission_token = "test-form-token" - form_entity.recipients = [] - form_entity.rendered_content = "rendered" - form_entity.submitted = False - repo.create_form.return_value = form_entity - repo.get_form.return_value = None - return repo - - -def _build_human_input_graph( - runtime_state: GraphRuntimeState, - form_repository: HumanInputFormRepository, -) -> Graph: - graph_config: dict[str, object] = {"nodes": [], "edges": []} - params = build_test_graph_init_params( - workflow_id="workflow", - graph_config=graph_config, - tenant_id="tenant", - app_id="app", - user_id="user", - user_from="account", - invoke_from="service-api", - call_depth=0, - ) - - start_data = StartNodeData(title="start", variables=[]) - start_node = StartNode( - id="start", - config={"id": "start", "data": start_data.model_dump()}, - graph_init_params=params, - graph_runtime_state=runtime_state, - ) - - human_data = HumanInputNodeData( - title="human", - form_content="Awaiting human input", - inputs=[], - user_actions=[ - UserAction(id="continue", title="Continue"), - ], - ) - human_node = HumanInputNode( - id="human", - config={"id": "human", "data": human_data.model_dump()}, - graph_init_params=params, - graph_runtime_state=runtime_state, - form_repository=form_repository, - runtime=DifyHumanInputNodeRuntime(params.run_context), - ) - - end_data = EndNodeData( - title="end", - outputs=[ - OutputVariableEntity(variable="result", value_selector=["human", "action_id"]), - ], - desc=None, - ) - end_node = EndNode( - id="end", - config={"id": "end", "data": end_data.model_dump()}, - graph_init_params=params, - graph_runtime_state=runtime_state, - ) - - return ( - Graph.new() - .add_root(start_node) - .add_node(human_node) - .add_node(end_node, from_node_id="human", source_handle="continue") - .build() - ) - - -def _run_graph(graph: Graph, runtime_state: GraphRuntimeState) -> list[GraphEngineEvent]: - engine = GraphEngine( - workflow_id="workflow", - graph=graph, - graph_runtime_state=runtime_state, - command_channel=InMemoryChannel(), - ) - return list(engine.run()) - - -def _node_successes(events: list[GraphEngineEvent]) -> list[str]: - return [event.node_id for event in events if isinstance(event, NodeRunSucceededEvent)] - - -def _node_start_event(events: list[GraphEngineEvent], node_id: str) -> NodeRunStartedEvent | None: - for event in events: - if isinstance(event, NodeRunStartedEvent) and event.node_id == node_id: - return event - return None - - -def _segment_value(variable_pool: VariablePool, selector: tuple[str, str]) -> Any: - segment = variable_pool.get(selector) - assert segment is not None - return getattr(segment, "value", segment) - - -def test_engine_resume_restores_state_and_completion(): - # Baseline run without pausing - baseline_state = _build_runtime_state() - baseline_repo = _mock_form_repository_with_submission(action_id="continue") - baseline_graph = _build_human_input_graph(baseline_state, baseline_repo) - baseline_events = _run_graph(baseline_graph, baseline_state) - assert baseline_events - first_paused_event = baseline_events[0] - assert isinstance(first_paused_event, GraphRunStartedEvent) - assert first_paused_event.reason is WorkflowStartReason.INITIAL - assert isinstance(baseline_events[-1], GraphRunSucceededEvent) - baseline_success_nodes = _node_successes(baseline_events) - - # Run with pause - paused_state = _build_runtime_state() - pause_repo = _mock_form_repository_without_submission() - paused_graph = _build_human_input_graph(paused_state, pause_repo) - paused_events = _run_graph(paused_graph, paused_state) - assert paused_events - first_paused_event = paused_events[0] - assert isinstance(first_paused_event, GraphRunStartedEvent) - assert first_paused_event.reason is WorkflowStartReason.INITIAL - assert isinstance(paused_events[-1], GraphRunPausedEvent) - snapshot = paused_state.dumps() - - # Resume from snapshot - resumed_state = GraphRuntimeState.from_snapshot(snapshot) - resume_repo = _mock_form_repository_with_submission(action_id="continue") - resumed_graph = _build_human_input_graph(resumed_state, resume_repo) - resumed_events = _run_graph(resumed_graph, resumed_state) - assert resumed_events - first_resumed_event = resumed_events[0] - assert isinstance(first_resumed_event, GraphRunStartedEvent) - assert first_resumed_event.reason is WorkflowStartReason.RESUMPTION - assert isinstance(resumed_events[-1], GraphRunSucceededEvent) - - combined_success_nodes = _node_successes(paused_events) + _node_successes(resumed_events) - assert combined_success_nodes == baseline_success_nodes - - paused_human_started = _node_start_event(paused_events, "human") - resumed_human_started = _node_start_event(resumed_events, "human") - assert paused_human_started is not None - assert resumed_human_started is not None - assert paused_human_started.id == resumed_human_started.id - - assert baseline_state.outputs == resumed_state.outputs - assert _segment_value(baseline_state.variable_pool, ("human", "__action_id")) == _segment_value( - resumed_state.variable_pool, ("human", "__action_id") - ) - assert baseline_state.graph_execution.completed - assert resumed_state.graph_execution.completed diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_redis_stop_integration.py b/api/tests/unit_tests/core/workflow/graph_engine/test_redis_stop_integration.py deleted file mode 100644 index 146b728dc2..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_redis_stop_integration.py +++ /dev/null @@ -1,268 +0,0 @@ -""" -Unit tests for Redis-based stop functionality in GraphEngine. - -Tests the integration of Redis command channel for stopping workflows -without user permission checks. -""" - -import json -from unittest.mock import MagicMock, Mock, patch - -import pytest -import redis - -from core.app.apps.base_app_queue_manager import AppQueueManager -from graphon.graph_engine.command_channels.redis_channel import RedisChannel -from graphon.graph_engine.entities.commands import AbortCommand, CommandType, PauseCommand -from graphon.graph_engine.manager import GraphEngineManager - - -class TestRedisStopIntegration: - """Test suite for Redis-based workflow stop functionality.""" - - def test_graph_engine_manager_sends_abort_command(self): - """Test that GraphEngineManager correctly sends abort command through Redis.""" - # Setup - task_id = "test-task-123" - expected_channel_key = f"workflow:{task_id}:commands" - - # Mock redis client - mock_redis = MagicMock() - mock_pipeline = MagicMock() - mock_redis.pipeline.return_value.__enter__ = Mock(return_value=mock_pipeline) - mock_redis.pipeline.return_value.__exit__ = Mock(return_value=None) - - manager = GraphEngineManager(mock_redis) - - # Execute - manager.send_stop_command(task_id, reason="Test stop") - - # Verify - mock_redis.pipeline.assert_called_once() - - # Check that rpush was called with correct arguments - calls = mock_pipeline.rpush.call_args_list - assert len(calls) == 1 - - # Verify the channel key - assert calls[0][0][0] == expected_channel_key - - # Verify the command data - command_json = calls[0][0][1] - command_data = json.loads(command_json) - assert command_data["command_type"] == CommandType.ABORT - assert command_data["reason"] == "Test stop" - - def test_graph_engine_manager_sends_pause_command(self): - """Test that GraphEngineManager correctly sends pause command through Redis.""" - task_id = "test-task-pause-123" - expected_channel_key = f"workflow:{task_id}:commands" - - mock_redis = MagicMock() - mock_pipeline = MagicMock() - mock_redis.pipeline.return_value.__enter__ = Mock(return_value=mock_pipeline) - mock_redis.pipeline.return_value.__exit__ = Mock(return_value=None) - - manager = GraphEngineManager(mock_redis) - manager.send_pause_command(task_id, reason="Awaiting resources") - - mock_redis.pipeline.assert_called_once() - calls = mock_pipeline.rpush.call_args_list - assert len(calls) == 1 - assert calls[0][0][0] == expected_channel_key - - command_json = calls[0][0][1] - command_data = json.loads(command_json) - assert command_data["command_type"] == CommandType.PAUSE.value - assert command_data["reason"] == "Awaiting resources" - - def test_graph_engine_manager_handles_redis_failure_gracefully(self): - """Test that GraphEngineManager handles Redis failures without raising exceptions.""" - task_id = "test-task-456" - - # Mock redis client to raise exception - mock_redis = MagicMock() - mock_redis.pipeline.side_effect = redis.ConnectionError("Redis connection failed") - manager = GraphEngineManager(mock_redis) - - # Should not raise exception - try: - manager.send_stop_command(task_id) - except Exception as e: - pytest.fail(f"GraphEngineManager.send_stop_command raised {e} unexpectedly") - - def test_app_queue_manager_no_user_check(self): - """Test that AppQueueManager.set_stop_flag_no_user_check works without user validation.""" - task_id = "test-task-789" - expected_cache_key = f"generate_task_stopped:{task_id}" - - # Mock redis client - mock_redis = MagicMock() - - with patch("core.app.apps.base_app_queue_manager.redis_client", mock_redis): - # Execute - AppQueueManager.set_stop_flag_no_user_check(task_id) - - # Verify - mock_redis.setex.assert_called_once_with(expected_cache_key, 600, 1) - - def test_app_queue_manager_no_user_check_with_empty_task_id(self): - """Test that AppQueueManager.set_stop_flag_no_user_check handles empty task_id.""" - # Mock redis client - mock_redis = MagicMock() - - with patch("core.app.apps.base_app_queue_manager.redis_client", mock_redis): - # Execute with empty task_id - AppQueueManager.set_stop_flag_no_user_check("") - - # Verify redis was not called - mock_redis.setex.assert_not_called() - - def test_redis_channel_send_abort_command(self): - """Test RedisChannel correctly serializes and sends AbortCommand.""" - # Setup - mock_redis = MagicMock() - mock_pipeline = MagicMock() - mock_redis.pipeline.return_value.__enter__ = Mock(return_value=mock_pipeline) - mock_redis.pipeline.return_value.__exit__ = Mock(return_value=None) - - channel_key = "workflow:test:commands" - channel = RedisChannel(mock_redis, channel_key) - - # Create commands - abort_command = AbortCommand(reason="User requested stop") - pause_command = PauseCommand(reason="User requested pause") - - # Execute - channel.send_command(abort_command) - channel.send_command(pause_command) - - # Verify - mock_redis.pipeline.assert_called() - - # Check rpush was called - calls = mock_pipeline.rpush.call_args_list - assert len(calls) == 2 - assert calls[0][0][0] == channel_key - assert calls[1][0][0] == channel_key - - # Verify serialized commands - abort_command_json = calls[0][0][1] - abort_command_data = json.loads(abort_command_json) - assert abort_command_data["command_type"] == CommandType.ABORT.value - assert abort_command_data["reason"] == "User requested stop" - - pause_command_json = calls[1][0][1] - pause_command_data = json.loads(pause_command_json) - assert pause_command_data["command_type"] == CommandType.PAUSE.value - assert pause_command_data["reason"] == "User requested pause" - - # Check expire was set for each - assert mock_pipeline.expire.call_count == 2 - mock_pipeline.expire.assert_any_call(channel_key, 3600) - - def test_redis_channel_fetch_commands(self): - """Test RedisChannel correctly fetches and deserializes commands.""" - # Setup - mock_redis = MagicMock() - pending_pipe = MagicMock() - fetch_pipe = MagicMock() - pending_context = MagicMock() - fetch_context = MagicMock() - pending_context.__enter__.return_value = pending_pipe - pending_context.__exit__.return_value = None - fetch_context.__enter__.return_value = fetch_pipe - fetch_context.__exit__.return_value = None - mock_redis.pipeline.side_effect = [pending_context, fetch_context] - - # Mock command data - abort_command_json = json.dumps( - {"command_type": CommandType.ABORT.value, "reason": "Test abort", "payload": None} - ) - pause_command_json = json.dumps( - {"command_type": CommandType.PAUSE.value, "reason": "Pause requested", "payload": None} - ) - - # Mock pipeline execute to return commands - pending_pipe.execute.return_value = [b"1", 1] - fetch_pipe.execute.return_value = [ - [abort_command_json.encode(), pause_command_json.encode()], # lrange result - True, # delete result - ] - - channel_key = "workflow:test:commands" - channel = RedisChannel(mock_redis, channel_key) - - # Execute - commands = channel.fetch_commands() - - # Verify - assert len(commands) == 2 - assert isinstance(commands[0], AbortCommand) - assert commands[0].command_type == CommandType.ABORT - assert commands[0].reason == "Test abort" - assert isinstance(commands[1], PauseCommand) - assert commands[1].command_type == CommandType.PAUSE - assert commands[1].reason == "Pause requested" - - # Verify Redis operations - pending_pipe.get.assert_called_once_with(f"{channel_key}:pending") - pending_pipe.delete.assert_called_once_with(f"{channel_key}:pending") - fetch_pipe.lrange.assert_called_once_with(channel_key, 0, -1) - fetch_pipe.delete.assert_called_once_with(channel_key) - assert mock_redis.pipeline.call_count == 2 - - def test_redis_channel_fetch_commands_handles_invalid_json(self): - """Test RedisChannel gracefully handles invalid JSON in commands.""" - # Setup - mock_redis = MagicMock() - pending_pipe = MagicMock() - fetch_pipe = MagicMock() - pending_context = MagicMock() - fetch_context = MagicMock() - pending_context.__enter__.return_value = pending_pipe - pending_context.__exit__.return_value = None - fetch_context.__enter__.return_value = fetch_pipe - fetch_context.__exit__.return_value = None - mock_redis.pipeline.side_effect = [pending_context, fetch_context] - - # Mock invalid command data - pending_pipe.execute.return_value = [b"1", 1] - fetch_pipe.execute.return_value = [ - [b"invalid json", b'{"command_type": "invalid_type"}'], # lrange result - True, # delete result - ] - - channel_key = "workflow:test:commands" - channel = RedisChannel(mock_redis, channel_key) - - # Execute - commands = channel.fetch_commands() - - # Should return empty list due to invalid commands - assert len(commands) == 0 - - def test_dual_stop_mechanism_compatibility(self): - """Test that both stop mechanisms can work together.""" - task_id = "test-task-dual" - - # Mock redis client - mock_redis = MagicMock() - mock_pipeline = MagicMock() - mock_redis.pipeline.return_value.__enter__ = Mock(return_value=mock_pipeline) - mock_redis.pipeline.return_value.__exit__ = Mock(return_value=None) - - with patch("core.app.apps.base_app_queue_manager.redis_client", mock_redis): - # Execute both stop mechanisms - AppQueueManager.set_stop_flag_no_user_check(task_id) - GraphEngineManager(mock_redis).send_stop_command(task_id) - - # Verify legacy stop flag was set - expected_stop_flag_key = f"generate_task_stopped:{task_id}" - mock_redis.setex.assert_called_once_with(expected_stop_flag_key, 600, 1) - - # Verify command was sent through Redis channel - mock_redis.pipeline.assert_called() - calls = mock_pipeline.rpush.call_args_list - assert len(calls) == 1 - assert calls[0][0][0] == f"workflow:{task_id}:commands" diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_response_session.py b/api/tests/unit_tests/core/workflow/graph_engine/test_response_session.py deleted file mode 100644 index 62ca7a630e..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_response_session.py +++ /dev/null @@ -1,55 +0,0 @@ -"""Unit tests for response session creation.""" - -from __future__ import annotations - -import pytest - -from graphon.enums import BuiltinNodeTypes, NodeExecutionType, NodeState, NodeType -from graphon.graph_engine.response_coordinator.session import ResponseSession -from graphon.nodes.base.template import Template, TextSegment - - -class DummyResponseNode: - """Minimal response-capable node for session tests.""" - - def __init__(self, *, node_id: str, node_type: NodeType, template: Template) -> None: - self.id = node_id - self.node_type = node_type - self.execution_type = NodeExecutionType.RESPONSE - self.state = NodeState.UNKNOWN - self._template = template - - def get_streaming_template(self) -> Template: - return self._template - - -class DummyNodeWithoutStreamingTemplate: - """Minimal node that violates the response-session contract.""" - - def __init__(self, *, node_id: str, node_type: NodeType) -> None: - self.id = node_id - self.node_type = node_type - self.execution_type = NodeExecutionType.RESPONSE - self.state = NodeState.UNKNOWN - - -def test_response_session_from_node_accepts_nodes_outside_previous_allowlist() -> None: - """Session creation depends on the streaming-template contract rather than node type.""" - node = DummyResponseNode( - node_id="llm-node", - node_type=BuiltinNodeTypes.LLM, - template=Template(segments=[TextSegment(text="hello")]), - ) - - session = ResponseSession.from_node(node) - - assert session.node_id == "llm-node" - assert session.template.segments == [TextSegment(text="hello")] - - -def test_response_session_from_node_requires_streaming_template_method() -> None: - """Allowed node types still need to implement the streaming-template contract.""" - node = DummyNodeWithoutStreamingTemplate(node_id="answer-node", node_type=BuiltinNodeTypes.ANSWER) - - with pytest.raises(TypeError, match="get_streaming_template"): - ResponseSession.from_node(node) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_streaming_conversation_variables.py b/api/tests/unit_tests/core/workflow/graph_engine/test_streaming_conversation_variables.py deleted file mode 100644 index a359a5fef9..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_streaming_conversation_variables.py +++ /dev/null @@ -1,79 +0,0 @@ -from graphon.graph_events import ( - GraphRunStartedEvent, - GraphRunSucceededEvent, - NodeRunStartedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, - NodeRunVariableUpdatedEvent, -) - -from .test_mock_config import MockConfigBuilder -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def test_streaming_conversation_variables(): - fixture_name = "test_streaming_conversation_variables" - - # The test expects the workflow to output the input query - # Since the workflow assigns sys.query to conversation variable "str" and then answers with it - input_query = "Hello, this is my test query" - - mock_config = MockConfigBuilder().build() - - case = WorkflowTestCase( - fixture_path=fixture_name, - use_auto_mock=False, # Don't use auto mock since we want to test actual variable assignment - mock_config=mock_config, - query=input_query, # Pass query as the sys.query value - inputs={}, # No additional inputs needed - expected_outputs={"answer": input_query}, # Expecting the input query to be output - expected_event_sequence=[ - GraphRunStartedEvent, - # START node - NodeRunStartedEvent, - NodeRunSucceededEvent, - # Variable Assigner node - NodeRunStartedEvent, - NodeRunVariableUpdatedEvent, - NodeRunStreamChunkEvent, - NodeRunSucceededEvent, - # ANSWER node - NodeRunStartedEvent, - NodeRunSucceededEvent, - GraphRunSucceededEvent, - ], - ) - - runner = TableTestRunner() - result = runner.run_test_case(case) - assert result.success, f"Test failed: {result.error}" - - -def test_streaming_conversation_variables_v1_overwrite_waits_for_assignment(): - fixture_name = "test_streaming_conversation_variables_v1_overwrite" - input_query = "overwrite-value" - - case = WorkflowTestCase( - fixture_path=fixture_name, - use_auto_mock=False, - mock_config=MockConfigBuilder().build(), - query=input_query, - inputs={}, - expected_outputs={"answer": f"Current Value Of `conv_var` is:{input_query}"}, - ) - - runner = TableTestRunner() - result = runner.run_test_case(case) - assert result.success, f"Test failed: {result.error}" - - events = result.events - conv_var_chunk_events = [ - event - for event in events - if isinstance(event, NodeRunStreamChunkEvent) and tuple(event.selector) == ("conversation", "conv_var") - ] - - assert conv_var_chunk_events, "Expected conversation variable chunk events to be emitted" - assert all(event.chunk == input_query for event in conv_var_chunk_events), ( - "Expected streamed conversation variable value to match the input query" - ) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_table_runner.py b/api/tests/unit_tests/core/workflow/graph_engine/test_table_runner.py index 81d68ba2aa..b11f957677 100644 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_table_runner.py +++ b/api/tests/unit_tests/core/workflow/graph_engine/test_table_runner.py @@ -19,12 +19,7 @@ from functools import lru_cache from pathlib import Path from typing import Any -from core.app.entities.app_invoke_entities import DIFY_RUN_CONTEXT_KEY, InvokeFrom, UserFrom -from core.tools.utils.yaml_utils import _load_yaml_file -from core.workflow.node_factory import DifyNodeFactory, get_default_root_node_id -from core.workflow.system_variables import build_bootstrap_variables, build_system_variables -from core.workflow.variable_pool_initializer import add_node_inputs_to_pool, add_variables_to_pool -from graphon.entities.graph_init_params import GraphInitParams +from graphon.entities import GraphInitParams from graphon.graph import Graph from graphon.graph_engine import GraphEngine, GraphEngineConfig from graphon.graph_engine.command_channels import InMemoryChannel @@ -44,6 +39,12 @@ from graphon.variables import ( StringVariable, ) +from core.app.entities.app_invoke_entities import DIFY_RUN_CONTEXT_KEY, InvokeFrom, UserFrom +from core.tools.utils.yaml_utils import _load_yaml_file +from core.workflow.node_factory import DifyNodeFactory, get_default_root_node_id +from core.workflow.system_variables import build_bootstrap_variables, build_system_variables +from core.workflow.variable_pool_initializer import add_node_inputs_to_pool, add_variables_to_pool + from .test_mock_config import MockConfig from .test_mock_factory import MockNodeFactory diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_update_conversation_variable_iteration.py b/api/tests/unit_tests/core/workflow/graph_engine/test_update_conversation_variable_iteration.py deleted file mode 100644 index a7309f64de..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_update_conversation_variable_iteration.py +++ /dev/null @@ -1,41 +0,0 @@ -"""Validate conversation variable updates inside an iteration workflow. - -This test uses the ``update-conversation-variable-in-iteration`` fixture, which -routes ``sys.query`` into the conversation variable ``answer`` from within an -iteration container. The workflow should surface that updated conversation -variable in the final answer output. - -Code nodes in the fixture are mocked because their concrete outputs are not -relevant to verifying variable propagation semantics. -""" - -from .test_mock_config import MockConfigBuilder -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -def test_update_conversation_variable_in_iteration(): - fixture_name = "update-conversation-variable-in-iteration" - user_query = "ensure conversation variable syncs" - - mock_config = ( - MockConfigBuilder() - .with_node_output("1759032363865", {"result": [1]}) - .with_node_output("1759032476318", {"result": ""}) - .build() - ) - - case = WorkflowTestCase( - fixture_path=fixture_name, - use_auto_mock=True, - mock_config=mock_config, - query=user_query, - expected_outputs={"answer": user_query}, - description="Conversation variable updated within iteration should flow to answer output.", - ) - - runner = TableTestRunner() - result = runner.run_test_case(case) - - assert result.success, f"Workflow execution failed: {result.error}" - assert result.actual_outputs is not None - assert result.actual_outputs.get("answer") == user_query diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_variable_aggregator.py b/api/tests/unit_tests/core/workflow/graph_engine/test_variable_aggregator.py deleted file mode 100644 index 2ad41037a9..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_variable_aggregator.py +++ /dev/null @@ -1,58 +0,0 @@ -from unittest.mock import patch - -import pytest - -from graphon.enums import WorkflowNodeExecutionStatus -from graphon.node_events import NodeRunResult -from graphon.nodes.template_transform.template_transform_node import TemplateTransformNode - -from .test_table_runner import TableTestRunner, WorkflowTestCase - - -class TestVariableAggregator: - """Test cases for the variable aggregator workflow.""" - - @pytest.mark.parametrize( - ("switch1", "switch2", "expected_group1", "expected_group2", "description"), - [ - (0, 0, "switch 1 off", "switch 2 off", "Both switches off"), - (0, 1, "switch 1 off", "switch 2 on", "Switch1 off, Switch2 on"), - (1, 0, "switch 1 on", "switch 2 off", "Switch1 on, Switch2 off"), - (1, 1, "switch 1 on", "switch 2 on", "Both switches on"), - ], - ) - def test_variable_aggregator_combinations( - self, - switch1: int, - switch2: int, - expected_group1: str, - expected_group2: str, - description: str, - ) -> None: - """Test all four combinations of switch1 and switch2.""" - - def mock_template_transform_run(self): - """Mock the TemplateTransformNode._run() method to return results based on node title.""" - title = self._node_data.title - return NodeRunResult(status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs={}, outputs={"output": title}) - - with patch.object( - TemplateTransformNode, - "_run", - mock_template_transform_run, - ): - runner = TableTestRunner() - - test_case = WorkflowTestCase( - fixture_path="dual_switch_variable_aggregator_workflow", - inputs={"switch1": switch1, "switch2": switch2}, - expected_outputs={"group1": expected_group1, "group2": expected_group2}, - description=description, - ) - - result = runner.run_test_case(test_case) - - assert result.success, f"Test failed: {result.error}" - assert result.actual_outputs == test_case.expected_outputs, ( - f"Output mismatch: expected {test_case.expected_outputs}, got {result.actual_outputs}" - ) diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_variable_update_events.py b/api/tests/unit_tests/core/workflow/graph_engine/test_variable_update_events.py deleted file mode 100644 index 60cab77c0a..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_variable_update_events.py +++ /dev/null @@ -1,129 +0,0 @@ -import time -import uuid -from uuid import uuid4 - -from core.app.entities.app_invoke_entities import DIFY_RUN_CONTEXT_KEY, InvokeFrom, UserFrom -from core.workflow.node_factory import DifyNodeFactory -from core.workflow.system_variables import build_bootstrap_variables, build_system_variables -from core.workflow.variable_pool_initializer import add_variables_to_pool -from graphon.entities import GraphInitParams -from graphon.graph import Graph -from graphon.graph_engine import GraphEngine, GraphEngineConfig -from graphon.graph_engine.command_channels import InMemoryChannel -from graphon.graph_engine.layers.base import GraphEngineLayer -from graphon.graph_events import NodeRunVariableUpdatedEvent -from graphon.runtime import GraphRuntimeState, VariablePool -from graphon.variables import StringVariable - -DEFAULT_NODE_ID = "node_id" - - -class CaptureVariableUpdateLayer(GraphEngineLayer): - def __init__(self) -> None: - super().__init__() - self.events: list[NodeRunVariableUpdatedEvent] = [] - self.observed_values: list[object | None] = [] - - def on_graph_start(self) -> None: - pass - - def on_event(self, event) -> None: - if not isinstance(event, NodeRunVariableUpdatedEvent): - return - - current_value = self.graph_runtime_state.variable_pool.get(event.variable.selector) - self.events.append(event) - self.observed_values.append(None if current_value is None else current_value.value) - - def on_graph_end(self, error: Exception | None) -> None: - pass - - -def test_graph_engine_applies_variable_updates_before_notifying_layers(): - graph_config = { - "edges": [ - { - "id": "start-source-assigner-target", - "source": "start", - "target": "assigner", - }, - ], - "nodes": [ - {"data": {"type": "start", "title": "Start"}, "id": "start"}, - { - "data": { - "type": "assigner", - "title": "Variable Assigner", - "assigned_variable_selector": ["conversation", "test_conversation_variable"], - "write_mode": "over-write", - "input_variable_selector": ["node_id", "test_string_variable"], - }, - "id": "assigner", - }, - ], - } - - init_params = GraphInitParams( - workflow_id="1", - graph_config=graph_config, - run_context={ - DIFY_RUN_CONTEXT_KEY: { - "tenant_id": "1", - "app_id": "1", - "user_id": "1", - "user_from": UserFrom.ACCOUNT, - "invoke_from": InvokeFrom.DEBUGGER, - } - }, - call_depth=0, - ) - - variable_pool = VariablePool() - add_variables_to_pool( - variable_pool, - build_bootstrap_variables( - system_variables=build_system_variables(conversation_id=str(uuid.uuid4())), - conversation_variables=[ - StringVariable( - id=str(uuid4()), - name="test_conversation_variable", - value="the first value", - ) - ], - ), - ) - variable_pool.add( - [DEFAULT_NODE_ID, "test_string_variable"], - StringVariable( - id=str(uuid4()), - name="test_string_variable", - value="the second value", - ), - ) - - graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()) - node_factory = DifyNodeFactory(graph_init_params=init_params, graph_runtime_state=graph_runtime_state) - graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id="start") - - engine = GraphEngine( - workflow_id="workflow-id", - graph=graph, - graph_runtime_state=graph_runtime_state, - command_channel=InMemoryChannel(), - config=GraphEngineConfig(), - ) - capture_layer = CaptureVariableUpdateLayer() - engine.layer(capture_layer) - - events = list(engine.run()) - - update_events = [event for event in events if isinstance(event, NodeRunVariableUpdatedEvent)] - assert len(update_events) == 1 - assert update_events[0].variable.value == "the second value" - - current_value = graph_runtime_state.variable_pool.get(["conversation", "test_conversation_variable"]) - assert current_value is not None - assert current_value.value == "the second value" - - assert len(capture_layer.events) == 1 - assert capture_layer.observed_values == ["the second value"] diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_worker.py b/api/tests/unit_tests/core/workflow/graph_engine/test_worker.py deleted file mode 100644 index 85132674b8..0000000000 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_worker.py +++ /dev/null @@ -1,148 +0,0 @@ -import queue -from collections.abc import Generator -from datetime import UTC, datetime, timedelta -from types import SimpleNamespace -from unittest.mock import MagicMock, patch - -from graphon.enums import BuiltinNodeTypes, WorkflowNodeExecutionStatus -from graphon.graph_engine.ready_queue import InMemoryReadyQueue -from graphon.graph_engine.worker import Worker -from graphon.graph_events import NodeRunFailedEvent, NodeRunStartedEvent - - -def test_build_fallback_failure_event_uses_naive_utc_and_failed_node_run_result(mocker) -> None: - fixed_time = datetime(2024, 1, 1, 12, 0, 0, tzinfo=UTC).replace(tzinfo=None) - mock_datetime = mocker.patch("graphon.graph_engine.worker.datetime") - mock_datetime.now.return_value = fixed_time.replace(tzinfo=UTC) - - worker = Worker( - ready_queue=InMemoryReadyQueue(), - event_queue=queue.Queue(), - graph=MagicMock(), - layers=[], - ) - node = SimpleNamespace( - execution_id="exec-1", - id="node-1", - node_type=BuiltinNodeTypes.LLM, - ) - - event = worker._build_fallback_failure_event(node, RuntimeError("boom")) - - assert event.start_at == fixed_time - assert event.finished_at == fixed_time - assert event.error == "boom" - assert event.node_run_result.status == WorkflowNodeExecutionStatus.FAILED - assert event.node_run_result.error == "boom" - assert event.node_run_result.error_type == "RuntimeError" - - -def test_worker_fallback_failure_event_reuses_observed_start_time() -> None: - start_at = datetime(2024, 1, 1, 12, 0, 0, tzinfo=UTC).replace(tzinfo=None) - failure_time = start_at + timedelta(seconds=5) - captured_events: list[NodeRunFailedEvent | NodeRunStartedEvent] = [] - - class FakeNode: - execution_id = "exec-1" - id = "node-1" - node_type = BuiltinNodeTypes.LLM - - def ensure_execution_id(self) -> str: - return self.execution_id - - def run(self) -> Generator[NodeRunStartedEvent, None, None]: - yield NodeRunStartedEvent( - id=self.execution_id, - node_id=self.id, - node_type=self.node_type, - node_title="LLM", - start_at=start_at, - ) - - worker = Worker( - ready_queue=MagicMock(), - event_queue=MagicMock(), - graph=MagicMock(nodes={"node-1": FakeNode()}), - layers=[], - ) - - worker._ready_queue.get.side_effect = ["node-1"] - - def put_side_effect(event: NodeRunFailedEvent | NodeRunStartedEvent) -> None: - captured_events.append(event) - if len(captured_events) == 1: - raise RuntimeError("queue boom") - worker.stop() - - worker._event_queue.put.side_effect = put_side_effect - - with patch("graphon.graph_engine.worker.datetime") as mock_datetime: - mock_datetime.now.return_value = failure_time.replace(tzinfo=UTC) - worker.run() - - fallback_event = captured_events[-1] - - assert isinstance(fallback_event, NodeRunFailedEvent) - assert fallback_event.start_at == start_at - assert fallback_event.finished_at == failure_time - assert fallback_event.error == "queue boom" - assert fallback_event.node_run_result.status == WorkflowNodeExecutionStatus.FAILED - - -def test_worker_fallback_failure_event_ignores_nested_iteration_child_start_times() -> None: - parent_start = datetime(2024, 1, 1, 12, 0, 0, tzinfo=UTC).replace(tzinfo=None) - child_start = parent_start + timedelta(seconds=3) - failure_time = parent_start + timedelta(seconds=5) - captured_events: list[NodeRunFailedEvent | NodeRunStartedEvent] = [] - - class FakeIterationNode: - execution_id = "iteration-exec" - id = "iteration-node" - node_type = BuiltinNodeTypes.ITERATION - - def ensure_execution_id(self) -> str: - return self.execution_id - - def run(self) -> Generator[NodeRunStartedEvent, None, None]: - yield NodeRunStartedEvent( - id=self.execution_id, - node_id=self.id, - node_type=self.node_type, - node_title="Iteration", - start_at=parent_start, - ) - yield NodeRunStartedEvent( - id="child-exec", - node_id="child-node", - node_type=BuiltinNodeTypes.LLM, - node_title="LLM", - start_at=child_start, - in_iteration_id=self.id, - ) - - worker = Worker( - ready_queue=MagicMock(), - event_queue=MagicMock(), - graph=MagicMock(nodes={"iteration-node": FakeIterationNode()}), - layers=[], - ) - - worker._ready_queue.get.side_effect = ["iteration-node"] - - def put_side_effect(event: NodeRunFailedEvent | NodeRunStartedEvent) -> None: - captured_events.append(event) - if len(captured_events) == 2: - raise RuntimeError("queue boom") - worker.stop() - - worker._event_queue.put.side_effect = put_side_effect - - with patch("graphon.graph_engine.worker.datetime") as mock_datetime: - mock_datetime.now.return_value = failure_time.replace(tzinfo=UTC) - worker.run() - - fallback_event = captured_events[-1] - - assert isinstance(fallback_event, NodeRunFailedEvent) - assert fallback_event.start_at == parent_start - assert fallback_event.finished_at == failure_time diff --git a/api/tests/unit_tests/core/workflow/nodes/agent/test_message_transformer.py b/api/tests/unit_tests/core/workflow/nodes/agent/test_message_transformer.py index 1f4509af9a..cbc920705c 100644 --- a/api/tests/unit_tests/core/workflow/nodes/agent/test_message_transformer.py +++ b/api/tests/unit_tests/core/workflow/nodes/agent/test_message_transformer.py @@ -1,8 +1,9 @@ from unittest.mock import patch +from graphon.enums import BuiltinNodeTypes + from core.tools.utils.message_transformer import ToolFileMessageTransformer from core.workflow.nodes.agent.message_transformer import AgentMessageTransformer -from graphon.enums import BuiltinNodeTypes def test_transform_passes_conversation_id_to_tool_file_message_transformer() -> None: diff --git a/api/tests/unit_tests/core/workflow/nodes/agent/test_runtime_support.py b/api/tests/unit_tests/core/workflow/nodes/agent/test_runtime_support.py index c86de7f6e6..59dd763b59 100644 --- a/api/tests/unit_tests/core/workflow/nodes/agent/test_runtime_support.py +++ b/api/tests/unit_tests/core/workflow/nodes/agent/test_runtime_support.py @@ -1,9 +1,10 @@ from types import SimpleNamespace from unittest.mock import Mock, patch -from core.workflow.nodes.agent.runtime_support import AgentRuntimeSupport from graphon.model_runtime.entities.model_entities import ModelType +from core.workflow.nodes.agent.runtime_support import AgentRuntimeSupport + def test_fetch_model_reuses_single_model_assembly(): provider_configuration = SimpleNamespace( diff --git a/api/tests/unit_tests/core/workflow/nodes/answer/test_answer.py b/api/tests/unit_tests/core/workflow/nodes/answer/test_answer.py index 9c0ad25b58..7195471eb6 100644 --- a/api/tests/unit_tests/core/workflow/nodes/answer/test_answer.py +++ b/api/tests/unit_tests/core/workflow/nodes/answer/test_answer.py @@ -2,14 +2,15 @@ import time import uuid from unittest.mock import MagicMock +from graphon.enums import WorkflowNodeExecutionStatus +from graphon.graph import Graph +from graphon.nodes.answer.answer_node import AnswerNode +from graphon.runtime import GraphRuntimeState, VariablePool + from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom from core.workflow.node_factory import DifyNodeFactory from core.workflow.system_variables import build_system_variables from extensions.ext_database import db -from graphon.enums import WorkflowNodeExecutionStatus -from graphon.graph import Graph -from graphon.nodes.answer.answer_node import AnswerNode -from graphon.runtime import GraphRuntimeState, VariablePool from tests.workflow_test_utils import build_test_graph_init_params diff --git a/api/tests/unit_tests/core/workflow/nodes/base/test_base_node.py b/api/tests/unit_tests/core/workflow/nodes/base/test_base_node.py index ec4cef1955..343bcd3919 100644 --- a/api/tests/unit_tests/core/workflow/nodes/base/test_base_node.py +++ b/api/tests/unit_tests/core/workflow/nodes/base/test_base_node.py @@ -1,10 +1,10 @@ import pytest - -from core.workflow.node_factory import get_node_type_classes_mapping from graphon.entities.base_node_data import BaseNodeData from graphon.enums import BuiltinNodeTypes, NodeType from graphon.nodes.base.node import Node +from core.workflow.node_factory import get_node_type_classes_mapping + # Ensures that all production node classes are imported and registered. _ = get_node_type_classes_mapping() diff --git a/api/tests/unit_tests/core/workflow/nodes/base/test_get_node_type_classes_mapping.py b/api/tests/unit_tests/core/workflow/nodes/base/test_get_node_type_classes_mapping.py index ef0df55995..b9371a34f4 100644 --- a/api/tests/unit_tests/core/workflow/nodes/base/test_get_node_type_classes_mapping.py +++ b/api/tests/unit_tests/core/workflow/nodes/base/test_get_node_type_classes_mapping.py @@ -1,7 +1,6 @@ import types from collections.abc import Mapping -from core.workflow.node_factory import get_node_type_classes_mapping from graphon.entities.base_node_data import BaseNodeData from graphon.enums import BuiltinNodeTypes, NodeType from graphon.nodes.base.node import Node @@ -14,6 +13,8 @@ from graphon.nodes.variable_assigner.v2.node import ( VariableAssignerNode as VariableAssignerV2, ) +from core.workflow.node_factory import get_node_type_classes_mapping + def test_variable_assigner_latest_prefers_highest_numeric_version(): # Act diff --git a/api/tests/unit_tests/core/workflow/nodes/code/code_node_spec.py b/api/tests/unit_tests/core/workflow/nodes/code/code_node_spec.py index ce0c9b79c6..d155124c50 100644 --- a/api/tests/unit_tests/core/workflow/nodes/code/code_node_spec.py +++ b/api/tests/unit_tests/core/workflow/nodes/code/code_node_spec.py @@ -1,4 +1,3 @@ -from configs import dify_config from graphon.nodes.code.code_node import CodeNode from graphon.nodes.code.entities import CodeLanguage, CodeNodeData from graphon.nodes.code.exc import ( @@ -9,6 +8,8 @@ from graphon.nodes.code.exc import ( from graphon.nodes.code.limits import CodeNodeLimits from graphon.variables.types import SegmentType +from configs import dify_config + CodeNode._limits = CodeNodeLimits( max_string_length=dify_config.CODE_MAX_STRING_LENGTH, max_number=dify_config.CODE_MAX_NUMBER, diff --git a/api/tests/unit_tests/core/workflow/nodes/code/entities_spec.py b/api/tests/unit_tests/core/workflow/nodes/code/entities_spec.py deleted file mode 100644 index 20fe2c1a74..0000000000 --- a/api/tests/unit_tests/core/workflow/nodes/code/entities_spec.py +++ /dev/null @@ -1,352 +0,0 @@ -import pytest -from pydantic import ValidationError - -from graphon.nodes.code.entities import CodeLanguage, CodeNodeData -from graphon.variables.types import SegmentType - - -class TestCodeNodeDataOutput: - """Test suite for CodeNodeData.Output model.""" - - def test_output_with_string_type(self): - """Test Output with STRING type.""" - output = CodeNodeData.Output(type=SegmentType.STRING) - - assert output.type == SegmentType.STRING - assert output.children is None - - def test_output_with_number_type(self): - """Test Output with NUMBER type.""" - output = CodeNodeData.Output(type=SegmentType.NUMBER) - - assert output.type == SegmentType.NUMBER - assert output.children is None - - def test_output_with_boolean_type(self): - """Test Output with BOOLEAN type.""" - output = CodeNodeData.Output(type=SegmentType.BOOLEAN) - - assert output.type == SegmentType.BOOLEAN - - def test_output_with_object_type(self): - """Test Output with OBJECT type.""" - output = CodeNodeData.Output(type=SegmentType.OBJECT) - - assert output.type == SegmentType.OBJECT - - def test_output_with_array_string_type(self): - """Test Output with ARRAY_STRING type.""" - output = CodeNodeData.Output(type=SegmentType.ARRAY_STRING) - - assert output.type == SegmentType.ARRAY_STRING - - def test_output_with_array_number_type(self): - """Test Output with ARRAY_NUMBER type.""" - output = CodeNodeData.Output(type=SegmentType.ARRAY_NUMBER) - - assert output.type == SegmentType.ARRAY_NUMBER - - def test_output_with_array_object_type(self): - """Test Output with ARRAY_OBJECT type.""" - output = CodeNodeData.Output(type=SegmentType.ARRAY_OBJECT) - - assert output.type == SegmentType.ARRAY_OBJECT - - def test_output_with_array_boolean_type(self): - """Test Output with ARRAY_BOOLEAN type.""" - output = CodeNodeData.Output(type=SegmentType.ARRAY_BOOLEAN) - - assert output.type == SegmentType.ARRAY_BOOLEAN - - def test_output_with_nested_children(self): - """Test Output with nested children for OBJECT type.""" - child_output = CodeNodeData.Output(type=SegmentType.STRING) - parent_output = CodeNodeData.Output( - type=SegmentType.OBJECT, - children={"name": child_output}, - ) - - assert parent_output.type == SegmentType.OBJECT - assert parent_output.children is not None - assert "name" in parent_output.children - assert parent_output.children["name"].type == SegmentType.STRING - - def test_output_with_deeply_nested_children(self): - """Test Output with deeply nested children.""" - inner_child = CodeNodeData.Output(type=SegmentType.NUMBER) - middle_child = CodeNodeData.Output( - type=SegmentType.OBJECT, - children={"value": inner_child}, - ) - outer_output = CodeNodeData.Output( - type=SegmentType.OBJECT, - children={"nested": middle_child}, - ) - - assert outer_output.children is not None - assert outer_output.children["nested"].children is not None - assert outer_output.children["nested"].children["value"].type == SegmentType.NUMBER - - def test_output_with_multiple_children(self): - """Test Output with multiple children.""" - output = CodeNodeData.Output( - type=SegmentType.OBJECT, - children={ - "name": CodeNodeData.Output(type=SegmentType.STRING), - "age": CodeNodeData.Output(type=SegmentType.NUMBER), - "active": CodeNodeData.Output(type=SegmentType.BOOLEAN), - }, - ) - - assert output.children is not None - assert len(output.children) == 3 - assert output.children["name"].type == SegmentType.STRING - assert output.children["age"].type == SegmentType.NUMBER - assert output.children["active"].type == SegmentType.BOOLEAN - - def test_output_rejects_invalid_type(self): - """Test Output rejects invalid segment types.""" - with pytest.raises(ValidationError): - CodeNodeData.Output(type=SegmentType.FILE) - - def test_output_rejects_array_file_type(self): - """Test Output rejects ARRAY_FILE type.""" - with pytest.raises(ValidationError): - CodeNodeData.Output(type=SegmentType.ARRAY_FILE) - - -class TestCodeNodeDataDependency: - """Test suite for CodeNodeData.Dependency model.""" - - def test_dependency_basic(self): - """Test Dependency with name and version.""" - dependency = CodeNodeData.Dependency(name="numpy", version="1.24.0") - - assert dependency.name == "numpy" - assert dependency.version == "1.24.0" - - def test_dependency_with_complex_version(self): - """Test Dependency with complex version string.""" - dependency = CodeNodeData.Dependency(name="pandas", version=">=2.0.0,<3.0.0") - - assert dependency.name == "pandas" - assert dependency.version == ">=2.0.0,<3.0.0" - - def test_dependency_with_empty_version(self): - """Test Dependency with empty version.""" - dependency = CodeNodeData.Dependency(name="requests", version="") - - assert dependency.name == "requests" - assert dependency.version == "" - - -class TestCodeNodeData: - """Test suite for CodeNodeData model.""" - - def test_code_node_data_python3(self): - """Test CodeNodeData with Python3 language.""" - data = CodeNodeData( - title="Test Code Node", - variables=[], - code_language=CodeLanguage.PYTHON3, - code="def main(): return {'result': 42}", - outputs={"result": CodeNodeData.Output(type=SegmentType.NUMBER)}, - ) - - assert data.title == "Test Code Node" - assert data.code_language == CodeLanguage.PYTHON3 - assert data.code == "def main(): return {'result': 42}" - assert "result" in data.outputs - assert data.dependencies is None - - def test_code_node_data_javascript(self): - """Test CodeNodeData with JavaScript language.""" - data = CodeNodeData( - title="JS Code Node", - variables=[], - code_language=CodeLanguage.JAVASCRIPT, - code="function main() { return { result: 'hello' }; }", - outputs={"result": CodeNodeData.Output(type=SegmentType.STRING)}, - ) - - assert data.code_language == CodeLanguage.JAVASCRIPT - assert "result" in data.outputs - assert data.outputs["result"].type == SegmentType.STRING - - def test_code_node_data_with_dependencies(self): - """Test CodeNodeData with dependencies.""" - data = CodeNodeData( - title="Code with Deps", - variables=[], - code_language=CodeLanguage.PYTHON3, - code="import numpy as np\ndef main(): return {'sum': 10}", - outputs={"sum": CodeNodeData.Output(type=SegmentType.NUMBER)}, - dependencies=[ - CodeNodeData.Dependency(name="numpy", version="1.24.0"), - CodeNodeData.Dependency(name="pandas", version="2.0.0"), - ], - ) - - assert data.dependencies is not None - assert len(data.dependencies) == 2 - assert data.dependencies[0].name == "numpy" - assert data.dependencies[1].name == "pandas" - - def test_code_node_data_with_multiple_outputs(self): - """Test CodeNodeData with multiple outputs.""" - data = CodeNodeData( - title="Multi Output", - variables=[], - code_language=CodeLanguage.PYTHON3, - code="def main(): return {'name': 'test', 'count': 5, 'items': ['a', 'b']}", - outputs={ - "name": CodeNodeData.Output(type=SegmentType.STRING), - "count": CodeNodeData.Output(type=SegmentType.NUMBER), - "items": CodeNodeData.Output(type=SegmentType.ARRAY_STRING), - }, - ) - - assert len(data.outputs) == 3 - assert data.outputs["name"].type == SegmentType.STRING - assert data.outputs["count"].type == SegmentType.NUMBER - assert data.outputs["items"].type == SegmentType.ARRAY_STRING - - def test_code_node_data_with_object_output(self): - """Test CodeNodeData with nested object output.""" - data = CodeNodeData( - title="Object Output", - variables=[], - code_language=CodeLanguage.PYTHON3, - code="def main(): return {'user': {'name': 'John', 'age': 30}}", - outputs={ - "user": CodeNodeData.Output( - type=SegmentType.OBJECT, - children={ - "name": CodeNodeData.Output(type=SegmentType.STRING), - "age": CodeNodeData.Output(type=SegmentType.NUMBER), - }, - ), - }, - ) - - assert data.outputs["user"].type == SegmentType.OBJECT - assert data.outputs["user"].children is not None - assert len(data.outputs["user"].children) == 2 - - def test_code_node_data_with_array_object_output(self): - """Test CodeNodeData with array of objects output.""" - data = CodeNodeData( - title="Array Object Output", - variables=[], - code_language=CodeLanguage.PYTHON3, - code="def main(): return {'users': [{'name': 'A'}, {'name': 'B'}]}", - outputs={ - "users": CodeNodeData.Output( - type=SegmentType.ARRAY_OBJECT, - children={ - "name": CodeNodeData.Output(type=SegmentType.STRING), - }, - ), - }, - ) - - assert data.outputs["users"].type == SegmentType.ARRAY_OBJECT - assert data.outputs["users"].children is not None - - def test_code_node_data_empty_code(self): - """Test CodeNodeData with empty code.""" - data = CodeNodeData( - title="Empty Code", - variables=[], - code_language=CodeLanguage.PYTHON3, - code="", - outputs={}, - ) - - assert data.code == "" - assert len(data.outputs) == 0 - - def test_code_node_data_multiline_code(self): - """Test CodeNodeData with multiline code.""" - multiline_code = """ -def main(): - result = 0 - for i in range(10): - result += i - return {'sum': result} -""" - data = CodeNodeData( - title="Multiline Code", - variables=[], - code_language=CodeLanguage.PYTHON3, - code=multiline_code, - outputs={"sum": CodeNodeData.Output(type=SegmentType.NUMBER)}, - ) - - assert "for i in range(10)" in data.code - assert "result += i" in data.code - - def test_code_node_data_with_special_characters_in_code(self): - """Test CodeNodeData with special characters in code.""" - code_with_special = "def main(): return {'msg': 'Hello\\nWorld\\t!'}" - data = CodeNodeData( - title="Special Chars", - variables=[], - code_language=CodeLanguage.PYTHON3, - code=code_with_special, - outputs={"msg": CodeNodeData.Output(type=SegmentType.STRING)}, - ) - - assert "\\n" in data.code - assert "\\t" in data.code - - def test_code_node_data_with_unicode_in_code(self): - """Test CodeNodeData with unicode characters in code.""" - unicode_code = "def main(): return {'greeting': '你好世界'}" - data = CodeNodeData( - title="Unicode Code", - variables=[], - code_language=CodeLanguage.PYTHON3, - code=unicode_code, - outputs={"greeting": CodeNodeData.Output(type=SegmentType.STRING)}, - ) - - assert "你好世界" in data.code - - def test_code_node_data_empty_dependencies_list(self): - """Test CodeNodeData with empty dependencies list.""" - data = CodeNodeData( - title="No Deps", - variables=[], - code_language=CodeLanguage.PYTHON3, - code="def main(): return {}", - outputs={}, - dependencies=[], - ) - - assert data.dependencies is not None - assert len(data.dependencies) == 0 - - def test_code_node_data_with_boolean_array_output(self): - """Test CodeNodeData with boolean array output.""" - data = CodeNodeData( - title="Boolean Array", - variables=[], - code_language=CodeLanguage.PYTHON3, - code="def main(): return {'flags': [True, False, True]}", - outputs={"flags": CodeNodeData.Output(type=SegmentType.ARRAY_BOOLEAN)}, - ) - - assert data.outputs["flags"].type == SegmentType.ARRAY_BOOLEAN - - def test_code_node_data_with_number_array_output(self): - """Test CodeNodeData with number array output.""" - data = CodeNodeData( - title="Number Array", - variables=[], - code_language=CodeLanguage.PYTHON3, - code="def main(): return {'values': [1, 2, 3, 4, 5]}", - outputs={"values": CodeNodeData.Output(type=SegmentType.ARRAY_NUMBER)}, - ) - - assert data.outputs["values"].type == SegmentType.ARRAY_NUMBER diff --git a/api/tests/unit_tests/core/workflow/nodes/datasource/test_datasource_node.py b/api/tests/unit_tests/core/workflow/nodes/datasource/test_datasource_node.py index 1d76067ec2..fb03ae9998 100644 --- a/api/tests/unit_tests/core/workflow/nodes/datasource/test_datasource_node.py +++ b/api/tests/unit_tests/core/workflow/nodes/datasource/test_datasource_node.py @@ -1,7 +1,8 @@ +from graphon.enums import WorkflowNodeExecutionStatus +from graphon.node_events import NodeRunResult, StreamChunkEvent, StreamCompletedEvent + from core.app.entities.app_invoke_entities import DIFY_RUN_CONTEXT_KEY from core.workflow.nodes.datasource.datasource_node import DatasourceNode -from graphon.entities.workflow_node_execution import WorkflowNodeExecutionStatus -from graphon.node_events import NodeRunResult, StreamChunkEvent, StreamCompletedEvent class _VarSeg: diff --git a/api/tests/unit_tests/core/workflow/nodes/http_request/test_config.py b/api/tests/unit_tests/core/workflow/nodes/http_request/test_config.py deleted file mode 100644 index f1a48f49b9..0000000000 --- a/api/tests/unit_tests/core/workflow/nodes/http_request/test_config.py +++ /dev/null @@ -1,33 +0,0 @@ -from graphon.nodes.http_request import build_http_request_config - - -def test_build_http_request_config_uses_literal_defaults(): - config = build_http_request_config() - - assert config.max_connect_timeout == 10 - assert config.max_read_timeout == 600 - assert config.max_write_timeout == 600 - assert config.max_binary_size == 10 * 1024 * 1024 - assert config.max_text_size == 1 * 1024 * 1024 - assert config.ssl_verify is True - assert config.ssrf_default_max_retries == 3 - - -def test_build_http_request_config_supports_explicit_overrides(): - config = build_http_request_config( - max_connect_timeout=5, - max_read_timeout=30, - max_write_timeout=40, - max_binary_size=2048, - max_text_size=1024, - ssl_verify=False, - ssrf_default_max_retries=8, - ) - - assert config.max_connect_timeout == 5 - assert config.max_read_timeout == 30 - assert config.max_write_timeout == 40 - assert config.max_binary_size == 2048 - assert config.max_text_size == 1024 - assert config.ssl_verify is False - assert config.ssrf_default_max_retries == 8 diff --git a/api/tests/unit_tests/core/workflow/nodes/http_request/test_entities.py b/api/tests/unit_tests/core/workflow/nodes/http_request/test_entities.py deleted file mode 100644 index 88895608d9..0000000000 --- a/api/tests/unit_tests/core/workflow/nodes/http_request/test_entities.py +++ /dev/null @@ -1,233 +0,0 @@ -import json -from unittest.mock import Mock, PropertyMock, patch - -import httpx -import pytest - -from graphon.nodes.http_request.entities import Response - - -@pytest.fixture -def mock_response(): - response = Mock(spec=httpx.Response) - response.headers = {} - return response - - -def test_is_file_with_attachment_disposition(mock_response): - """Test is_file when content-disposition header contains 'attachment'""" - mock_response.headers = {"content-disposition": "attachment; filename=test.pdf", "content-type": "application/pdf"} - response = Response(mock_response) - assert response.is_file - - -def test_is_file_with_filename_disposition(mock_response): - """Test is_file when content-disposition header contains filename parameter""" - mock_response.headers = {"content-disposition": "inline; filename=test.pdf", "content-type": "application/pdf"} - response = Response(mock_response) - assert response.is_file - - -@pytest.mark.parametrize("content_type", ["application/pdf", "image/jpeg", "audio/mp3", "video/mp4"]) -def test_is_file_with_file_content_types(mock_response, content_type): - """Test is_file with various file content types""" - mock_response.headers = {"content-type": content_type} - # Mock binary content - type(mock_response).content = PropertyMock(return_value=bytes([0x00, 0xFF] * 512)) - response = Response(mock_response) - assert response.is_file, f"Content type {content_type} should be identified as a file" - - -@pytest.mark.parametrize( - "content_type", - [ - "application/json", - "application/xml", - "application/javascript", - "application/x-www-form-urlencoded", - "application/yaml", - "application/graphql", - ], -) -def test_text_based_application_types(mock_response, content_type): - """Test common text-based application types are not identified as files""" - mock_response.headers = {"content-type": content_type} - response = Response(mock_response) - assert not response.is_file, f"Content type {content_type} should not be identified as a file" - - -@pytest.mark.parametrize( - ("content", "content_type"), - [ - (b'{"key": "value"}', "application/octet-stream"), - (b"[1, 2, 3]", "application/unknown"), - (b"function test() {}", "application/x-unknown"), - (b"hello
", - expiration_time=datetime.utcnow() + timedelta(hours=1), + expiration_time=naive_utc_now() + timedelta(hours=1), ), rendered_content="hello
", - created_at=datetime.utcnow(), - expiration_time=datetime.utcnow() + timedelta(hours=1), + created_at=naive_utc_now(), + expiration_time=naive_utc_now() + timedelta(hours=1), status=HumanInputFormStatus.WAITING, selected_action_id=None, submitted_data=None, @@ -101,8 +102,8 @@ def test_ensure_form_active_respects_global_timeout(monkeypatch, sample_form_rec service = HumanInputService(session_factory) expired_record = dataclasses.replace( sample_form_record, - created_at=datetime.utcnow() - timedelta(hours=2), - expiration_time=datetime.utcnow() + timedelta(hours=2), + created_at=naive_utc_now() - timedelta(hours=2), + expiration_time=naive_utc_now() + timedelta(hours=2), ) monkeypatch.setattr(human_input_service_module.dify_config, "HUMAN_INPUT_GLOBAL_TIMEOUT_SECONDS", 3600) @@ -391,7 +392,7 @@ def test_ensure_form_active_errors(sample_form_record, mock_session_factory): service = HumanInputService(session_factory) # Submitted - submitted_record = dataclasses.replace(sample_form_record, submitted_at=datetime.utcnow()) + submitted_record = dataclasses.replace(sample_form_record, submitted_at=naive_utc_now()) with pytest.raises(human_input_service_module.FormSubmittedError): service.ensure_form_active(Form(submitted_record)) @@ -402,7 +403,7 @@ def test_ensure_form_active_errors(sample_form_record, mock_session_factory): # Expired time expired_time_record = dataclasses.replace( - sample_form_record, expiration_time=datetime.utcnow() - timedelta(minutes=1) + sample_form_record, expiration_time=naive_utc_now() - timedelta(minutes=1) ) with pytest.raises(FormExpiredError): service.ensure_form_active(Form(expired_time_record)) @@ -411,7 +412,7 @@ def test_ensure_form_active_errors(sample_form_record, mock_session_factory): def test_ensure_not_submitted_raises(sample_form_record, mock_session_factory): session_factory, _ = mock_session_factory service = HumanInputService(session_factory) - submitted_record = dataclasses.replace(sample_form_record, submitted_at=datetime.utcnow()) + submitted_record = dataclasses.replace(sample_form_record, submitted_at=naive_utc_now()) with pytest.raises(human_input_service_module.FormSubmittedError): service._ensure_not_submitted(Form(submitted_record)) diff --git a/api/tests/unit_tests/services/test_metadata_service.py b/api/tests/unit_tests/services/test_metadata_service.py deleted file mode 100644 index bbdc16d4f8..0000000000 --- a/api/tests/unit_tests/services/test_metadata_service.py +++ /dev/null @@ -1,558 +0,0 @@ -from __future__ import annotations - -from dataclasses import dataclass -from datetime import UTC, datetime -from types import SimpleNamespace -from typing import Any, cast -from unittest.mock import MagicMock - -import pytest -from pytest_mock import MockerFixture - -from core.rag.index_processor.constant.built_in_field import BuiltInField, MetadataDataSource -from models.dataset import Dataset -from services.entities.knowledge_entities.knowledge_entities import ( - DocumentMetadataOperation, - MetadataArgs, - MetadataDetail, - MetadataOperationData, -) -from services.metadata_service import MetadataService - - -@dataclass -class _DocumentStub: - id: str - name: str - uploader: str - upload_date: datetime - last_update_date: datetime - data_source_type: str - doc_metadata: dict[str, object] | None - - -@pytest.fixture -def mock_db(mocker: MockerFixture) -> MagicMock: - mocked_db = mocker.patch("services.metadata_service.db") - mocked_db.session = MagicMock() - return mocked_db - - -@pytest.fixture -def mock_redis_client(mocker: MockerFixture) -> MagicMock: - return mocker.patch("services.metadata_service.redis_client") - - -@pytest.fixture -def mock_current_account(mocker: MockerFixture) -> MagicMock: - mock_user = SimpleNamespace(id="user-1") - return mocker.patch("services.metadata_service.current_account_with_tenant", return_value=(mock_user, "tenant-1")) - - -def _build_document(document_id: str, doc_metadata: dict[str, object] | None = None) -> _DocumentStub: - now = datetime(2025, 1, 1, 10, 30, tzinfo=UTC) - return _DocumentStub( - id=document_id, - name=f"doc-{document_id}", - uploader="qa@example.com", - upload_date=now, - last_update_date=now, - data_source_type="upload_file", - doc_metadata=doc_metadata, - ) - - -def _dataset(**kwargs: Any) -> Dataset: - return cast(Dataset, SimpleNamespace(**kwargs)) - - -def test_create_metadata_should_raise_value_error_when_name_exceeds_limit() -> None: - # Arrange - metadata_args = MetadataArgs(type="string", name="x" * 256) - - # Act + Assert - with pytest.raises(ValueError, match="cannot exceed 255"): - MetadataService.create_metadata("dataset-1", metadata_args) - - -def test_create_metadata_should_raise_value_error_when_metadata_name_already_exists( - mock_db: MagicMock, - mock_current_account: MagicMock, -) -> None: - # Arrange - metadata_args = MetadataArgs(type="string", name="priority") - mock_db.session.query.return_value.filter_by.return_value.first.return_value = object() - - # Act + Assert - with pytest.raises(ValueError, match="already exists"): - MetadataService.create_metadata("dataset-1", metadata_args) - - # Assert - mock_current_account.assert_called_once() - - -def test_create_metadata_should_raise_value_error_when_name_collides_with_builtin( - mock_db: MagicMock, mock_current_account: MagicMock -) -> None: - # Arrange - metadata_args = MetadataArgs(type="string", name=BuiltInField.document_name) - mock_db.session.query.return_value.filter_by.return_value.first.return_value = None - - # Act + Assert - with pytest.raises(ValueError, match="Built-in fields"): - MetadataService.create_metadata("dataset-1", metadata_args) - - -def test_create_metadata_should_persist_metadata_when_input_is_valid( - mock_db: MagicMock, mock_current_account: MagicMock -) -> None: - # Arrange - metadata_args = MetadataArgs(type="number", name="score") - mock_db.session.query.return_value.filter_by.return_value.first.return_value = None - - # Act - result = MetadataService.create_metadata("dataset-1", metadata_args) - - # Assert - assert result.tenant_id == "tenant-1" - assert result.dataset_id == "dataset-1" - assert result.type == "number" - assert result.name == "score" - assert result.created_by == "user-1" - mock_db.session.add.assert_called_once_with(result) - mock_db.session.commit.assert_called_once() - mock_current_account.assert_called_once() - - -def test_update_metadata_name_should_raise_value_error_when_name_exceeds_limit() -> None: - # Arrange - too_long_name = "x" * 256 - - # Act + Assert - with pytest.raises(ValueError, match="cannot exceed 255"): - MetadataService.update_metadata_name("dataset-1", "metadata-1", too_long_name) - - -def test_update_metadata_name_should_raise_value_error_when_duplicate_name_exists( - mock_db: MagicMock, mock_current_account: MagicMock -) -> None: - # Arrange - mock_db.session.query.return_value.filter_by.return_value.first.return_value = object() - - # Act + Assert - with pytest.raises(ValueError, match="already exists"): - MetadataService.update_metadata_name("dataset-1", "metadata-1", "duplicate") - - # Assert - mock_current_account.assert_called_once() - - -def test_update_metadata_name_should_raise_value_error_when_name_collides_with_builtin( - mock_db: MagicMock, - mock_current_account: MagicMock, -) -> None: - # Arrange - mock_db.session.query.return_value.filter_by.return_value.first.return_value = None - - # Act + Assert - with pytest.raises(ValueError, match="Built-in fields"): - MetadataService.update_metadata_name("dataset-1", "metadata-1", BuiltInField.source) - - # Assert - mock_current_account.assert_called_once() - - -def test_update_metadata_name_should_update_bound_documents_and_return_metadata( - mock_db: MagicMock, - mock_redis_client: MagicMock, - mock_current_account: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - fixed_now = datetime(2025, 2, 1, 0, 0, tzinfo=UTC) - mocker.patch("services.metadata_service.naive_utc_now", return_value=fixed_now) - - metadata = SimpleNamespace(id="metadata-1", name="old_name", updated_by=None, updated_at=None) - bindings = [SimpleNamespace(document_id="doc-1"), SimpleNamespace(document_id="doc-2")] - query_duplicate = MagicMock() - query_duplicate.filter_by.return_value.first.return_value = None - query_metadata = MagicMock() - query_metadata.filter_by.return_value.first.return_value = metadata - query_bindings = MagicMock() - query_bindings.filter_by.return_value.all.return_value = bindings - mock_db.session.query.side_effect = [query_duplicate, query_metadata, query_bindings] - - doc_1 = _build_document("1", {"old_name": "value", "other": "keep"}) - doc_2 = _build_document("2", None) - mock_get_documents = mocker.patch("services.metadata_service.DocumentService.get_document_by_ids") - mock_get_documents.return_value = [doc_1, doc_2] - - # Act - result = MetadataService.update_metadata_name("dataset-1", "metadata-1", "new_name") - - # Assert - assert result is metadata - assert metadata.name == "new_name" - assert metadata.updated_by == "user-1" - assert metadata.updated_at == fixed_now - assert doc_1.doc_metadata == {"other": "keep", "new_name": "value"} - assert doc_2.doc_metadata == {"new_name": None} - mock_get_documents.assert_called_once_with(["doc-1", "doc-2"]) - mock_db.session.commit.assert_called_once() - mock_redis_client.delete.assert_called_once_with("dataset_metadata_lock_dataset-1") - mock_current_account.assert_called_once() - - -def test_update_metadata_name_should_return_none_when_metadata_does_not_exist( - mock_db: MagicMock, - mock_redis_client: MagicMock, - mock_current_account: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - mock_logger = mocker.patch("services.metadata_service.logger") - - query_duplicate = MagicMock() - query_duplicate.filter_by.return_value.first.return_value = None - query_metadata = MagicMock() - query_metadata.filter_by.return_value.first.return_value = None - mock_db.session.query.side_effect = [query_duplicate, query_metadata] - - # Act - result = MetadataService.update_metadata_name("dataset-1", "missing-id", "new_name") - - # Assert - assert result is None - mock_logger.exception.assert_called_once() - mock_redis_client.delete.assert_called_once_with("dataset_metadata_lock_dataset-1") - mock_current_account.assert_called_once() - - -def test_delete_metadata_should_remove_metadata_and_related_document_fields( - mock_db: MagicMock, - mock_redis_client: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - metadata = SimpleNamespace(id="metadata-1", name="obsolete") - bindings = [SimpleNamespace(document_id="doc-1")] - query_metadata = MagicMock() - query_metadata.filter_by.return_value.first.return_value = metadata - query_bindings = MagicMock() - query_bindings.filter_by.return_value.all.return_value = bindings - mock_db.session.query.side_effect = [query_metadata, query_bindings] - - document = _build_document("1", {"obsolete": "legacy", "remaining": "value"}) - mocker.patch("services.metadata_service.DocumentService.get_document_by_ids", return_value=[document]) - - # Act - result = MetadataService.delete_metadata("dataset-1", "metadata-1") - - # Assert - assert result is metadata - assert document.doc_metadata == {"remaining": "value"} - mock_db.session.delete.assert_called_once_with(metadata) - mock_db.session.commit.assert_called_once() - mock_redis_client.delete.assert_called_once_with("dataset_metadata_lock_dataset-1") - - -def test_delete_metadata_should_return_none_when_metadata_is_missing( - mock_db: MagicMock, - mock_redis_client: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - mock_db.session.query.return_value.filter_by.return_value.first.return_value = None - mock_logger = mocker.patch("services.metadata_service.logger") - - # Act - result = MetadataService.delete_metadata("dataset-1", "missing-id") - - # Assert - assert result is None - mock_logger.exception.assert_called_once() - mock_redis_client.delete.assert_called_once_with("dataset_metadata_lock_dataset-1") - - -def test_get_built_in_fields_should_return_all_expected_fields() -> None: - # Arrange - expected_names = { - BuiltInField.document_name, - BuiltInField.uploader, - BuiltInField.upload_date, - BuiltInField.last_update_date, - BuiltInField.source, - } - - # Act - result = MetadataService.get_built_in_fields() - - # Assert - assert {item["name"] for item in result} == expected_names - assert [item["type"] for item in result] == ["string", "string", "time", "time", "string"] - - -def test_enable_built_in_field_should_return_immediately_when_already_enabled( - mock_db: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - dataset = _dataset(id="dataset-1", built_in_field_enabled=True) - get_docs = mocker.patch("services.metadata_service.DocumentService.get_working_documents_by_dataset_id") - - # Act - MetadataService.enable_built_in_field(dataset) - - # Assert - get_docs.assert_not_called() - mock_db.session.commit.assert_not_called() - - -def test_enable_built_in_field_should_populate_documents_and_enable_flag( - mock_db: MagicMock, - mock_redis_client: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - dataset = _dataset(id="dataset-1", built_in_field_enabled=False) - doc_1 = _build_document("1", {"custom": "value"}) - doc_2 = _build_document("2", None) - mocker.patch( - "services.metadata_service.DocumentService.get_working_documents_by_dataset_id", - return_value=[doc_1, doc_2], - ) - - # Act - MetadataService.enable_built_in_field(dataset) - - # Assert - assert dataset.built_in_field_enabled is True - assert doc_1.doc_metadata is not None - assert doc_1.doc_metadata[BuiltInField.document_name] == "doc-1" - assert doc_1.doc_metadata[BuiltInField.source] == MetadataDataSource.upload_file - assert doc_2.doc_metadata is not None - assert doc_2.doc_metadata[BuiltInField.uploader] == "qa@example.com" - mock_db.session.commit.assert_called_once() - mock_redis_client.delete.assert_called_once_with("dataset_metadata_lock_dataset-1") - - -def test_disable_built_in_field_should_return_immediately_when_already_disabled( - mock_db: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - dataset = _dataset(id="dataset-1", built_in_field_enabled=False) - get_docs = mocker.patch("services.metadata_service.DocumentService.get_working_documents_by_dataset_id") - - # Act - MetadataService.disable_built_in_field(dataset) - - # Assert - get_docs.assert_not_called() - mock_db.session.commit.assert_not_called() - - -def test_disable_built_in_field_should_remove_builtin_keys_and_disable_flag( - mock_db: MagicMock, - mock_redis_client: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - dataset = _dataset(id="dataset-1", built_in_field_enabled=True) - document = _build_document( - "1", - { - BuiltInField.document_name: "doc", - BuiltInField.uploader: "user", - BuiltInField.upload_date: 1.0, - BuiltInField.last_update_date: 2.0, - BuiltInField.source: MetadataDataSource.upload_file, - "custom": "keep", - }, - ) - mocker.patch( - "services.metadata_service.DocumentService.get_working_documents_by_dataset_id", - return_value=[document], - ) - - # Act - MetadataService.disable_built_in_field(dataset) - - # Assert - assert dataset.built_in_field_enabled is False - assert document.doc_metadata == {"custom": "keep"} - mock_db.session.commit.assert_called_once() - mock_redis_client.delete.assert_called_once_with("dataset_metadata_lock_dataset-1") - - -def test_update_documents_metadata_should_replace_metadata_and_create_bindings_on_full_update( - mock_db: MagicMock, - mock_redis_client: MagicMock, - mock_current_account: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - dataset = _dataset(id="dataset-1", built_in_field_enabled=False) - document = _build_document("1", {"legacy": "value"}) - mocker.patch("services.metadata_service.DocumentService.get_document", return_value=document) - delete_chain = mock_db.session.query.return_value.filter_by.return_value - delete_chain.delete.return_value = 1 - operation = DocumentMetadataOperation( - document_id="1", - metadata_list=[MetadataDetail(id="meta-1", name="priority", value="high")], - partial_update=False, - ) - metadata_args = MetadataOperationData(operation_data=[operation]) - - # Act - MetadataService.update_documents_metadata(dataset, metadata_args) - - # Assert - assert document.doc_metadata == {"priority": "high"} - delete_chain.delete.assert_called_once() - assert mock_db.session.commit.call_count == 1 - mock_redis_client.delete.assert_called_once_with("document_metadata_lock_1") - mock_current_account.assert_called_once() - - -def test_update_documents_metadata_should_skip_existing_binding_and_preserve_existing_fields_on_partial_update( - mock_db: MagicMock, - mock_redis_client: MagicMock, - mock_current_account: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - dataset = _dataset(id="dataset-1", built_in_field_enabled=True) - document = _build_document("1", {"existing": "value"}) - mocker.patch("services.metadata_service.DocumentService.get_document", return_value=document) - mock_db.session.query.return_value.filter_by.return_value.first.return_value = object() - operation = DocumentMetadataOperation( - document_id="1", - metadata_list=[MetadataDetail(id="meta-1", name="new_key", value="new_value")], - partial_update=True, - ) - metadata_args = MetadataOperationData(operation_data=[operation]) - - # Act - MetadataService.update_documents_metadata(dataset, metadata_args) - - # Assert - assert document.doc_metadata is not None - assert document.doc_metadata["existing"] == "value" - assert document.doc_metadata["new_key"] == "new_value" - assert document.doc_metadata[BuiltInField.source] == MetadataDataSource.upload_file - assert mock_db.session.commit.call_count == 1 - assert mock_db.session.add.call_count == 1 - mock_redis_client.delete.assert_called_once_with("document_metadata_lock_1") - mock_current_account.assert_called_once() - - -def test_update_documents_metadata_should_raise_and_rollback_when_document_not_found( - mock_db: MagicMock, - mock_redis_client: MagicMock, - mocker: MockerFixture, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - dataset = _dataset(id="dataset-1", built_in_field_enabled=False) - mocker.patch("services.metadata_service.DocumentService.get_document", return_value=None) - operation = DocumentMetadataOperation(document_id="404", metadata_list=[], partial_update=True) - metadata_args = MetadataOperationData(operation_data=[operation]) - - # Act + Assert - with pytest.raises(ValueError, match="Document not found"): - MetadataService.update_documents_metadata(dataset, metadata_args) - - # Assert - mock_db.session.rollback.assert_called_once() - mock_redis_client.delete.assert_called_once_with("document_metadata_lock_404") - - -@pytest.mark.parametrize( - ("dataset_id", "document_id", "expected_key"), - [ - ("dataset-1", None, "dataset_metadata_lock_dataset-1"), - (None, "doc-1", "document_metadata_lock_doc-1"), - ], -) -def test_knowledge_base_metadata_lock_check_should_set_lock_when_not_already_locked( - dataset_id: str | None, - document_id: str | None, - expected_key: str, - mock_redis_client: MagicMock, -) -> None: - # Arrange - mock_redis_client.get.return_value = None - - # Act - MetadataService.knowledge_base_metadata_lock_check(dataset_id, document_id) - - # Assert - mock_redis_client.set.assert_called_once_with(expected_key, 1, ex=3600) - - -def test_knowledge_base_metadata_lock_check_should_raise_when_dataset_lock_exists( - mock_redis_client: MagicMock, -) -> None: - # Arrange - mock_redis_client.get.return_value = 1 - - # Act + Assert - with pytest.raises(ValueError, match="knowledge base metadata operation is running"): - MetadataService.knowledge_base_metadata_lock_check("dataset-1", None) - - -def test_knowledge_base_metadata_lock_check_should_raise_when_document_lock_exists( - mock_redis_client: MagicMock, -) -> None: - # Arrange - mock_redis_client.get.return_value = 1 - - # Act + Assert - with pytest.raises(ValueError, match="document metadata operation is running"): - MetadataService.knowledge_base_metadata_lock_check(None, "doc-1") - - -def test_get_dataset_metadatas_should_exclude_builtin_and_include_binding_counts(mock_db: MagicMock) -> None: - # Arrange - dataset = _dataset( - id="dataset-1", - built_in_field_enabled=True, - doc_metadata=[ - {"id": "meta-1", "name": "priority", "type": "string"}, - {"id": "built-in", "name": "ignored", "type": "string"}, - {"id": "meta-2", "name": "score", "type": "number"}, - ], - ) - count_chain = mock_db.session.query.return_value.filter_by.return_value - count_chain.count.side_effect = [3, 1] - - # Act - result = MetadataService.get_dataset_metadatas(dataset) - - # Assert - assert result["built_in_field_enabled"] is True - assert result["doc_metadata"] == [ - {"id": "meta-1", "name": "priority", "type": "string", "count": 3}, - {"id": "meta-2", "name": "score", "type": "number", "count": 1}, - ] - - -def test_get_dataset_metadatas_should_return_empty_list_when_no_metadata(mock_db: MagicMock) -> None: - # Arrange - dataset = _dataset(id="dataset-1", built_in_field_enabled=False, doc_metadata=None) - - # Act - result = MetadataService.get_dataset_metadatas(dataset) - - # Assert - assert result == {"doc_metadata": [], "built_in_field_enabled": False} - mock_db.session.query.assert_not_called() diff --git a/api/tests/unit_tests/services/test_model_load_balancing_service.py b/api/tests/unit_tests/services/test_model_load_balancing_service.py index 1e898ada11..b43e79dff5 100644 --- a/api/tests/unit_tests/services/test_model_load_balancing_service.py +++ b/api/tests/unit_tests/services/test_model_load_balancing_service.py @@ -6,9 +6,6 @@ from typing import Any, cast from unittest.mock import MagicMock import pytest -from pytest_mock import MockerFixture - -from constants import HIDDEN_VALUE from graphon.model_runtime.entities.common_entities import I18nObject from graphon.model_runtime.entities.model_entities import ModelType from graphon.model_runtime.entities.provider_entities import ( @@ -18,6 +15,9 @@ from graphon.model_runtime.entities.provider_entities import ( ModelCredentialSchema, ProviderCredentialSchema, ) +from pytest_mock import MockerFixture + +from constants import HIDDEN_VALUE from models.provider import LoadBalancingModelConfig from services.model_load_balancing_service import ModelLoadBalancingService diff --git a/api/tests/unit_tests/services/test_model_provider_service_sanitization.py b/api/tests/unit_tests/services/test_model_provider_service_sanitization.py index 97f3bd6f01..1bd979b9ec 100644 --- a/api/tests/unit_tests/services/test_model_provider_service_sanitization.py +++ b/api/tests/unit_tests/services/test_model_provider_service_sanitization.py @@ -1,11 +1,11 @@ import types import pytest - -from core.entities.provider_entities import CredentialConfiguration, CustomModelConfiguration from graphon.model_runtime.entities.common_entities import I18nObject from graphon.model_runtime.entities.model_entities import ModelType from graphon.model_runtime.entities.provider_entities import ConfigurateMethod + +from core.entities.provider_entities import CredentialConfiguration, CustomModelConfiguration from models.provider import ProviderType from services.model_provider_service import ModelProviderService diff --git a/api/tests/unit_tests/services/test_tag_service.py b/api/tests/unit_tests/services/test_tag_service.py deleted file mode 100644 index b09463b1bc..0000000000 --- a/api/tests/unit_tests/services/test_tag_service.py +++ /dev/null @@ -1,1336 +0,0 @@ -""" -Comprehensive unit tests for TagService. - -This test suite provides complete coverage of tag management operations in Dify, -following TDD principles with the Arrange-Act-Assert pattern. - -The TagService is responsible for managing tags that can be associated with -datasets (knowledge bases) and applications. Tags enable users to organize, -categorize, and filter their content effectively. - -## Test Coverage - -### 1. Tag Retrieval (TestTagServiceRetrieval) -Tests tag listing and filtering: -- Get tags with binding counts -- Filter tags by keyword (case-insensitive) -- Get tags by target ID (apps/datasets) -- Get tags by tag name -- Get target IDs by tag IDs -- Empty results handling - -### 2. Tag CRUD Operations (TestTagServiceCRUD) -Tests tag creation, update, and deletion: -- Create new tags -- Prevent duplicate tag names -- Update tag names -- Update with duplicate name validation -- Delete tags and cascade delete bindings -- Get tag binding counts -- NotFound error handling - -### 3. Tag Binding Operations (TestTagServiceBindings) -Tests tag-to-resource associations: -- Save tag bindings (apps/datasets) -- Prevent duplicate bindings (idempotent) -- Delete tag bindings -- Check target exists validation -- Batch binding operations - -## Testing Approach - -- **Mocking Strategy**: All external dependencies (database, current_user) are mocked - for fast, isolated unit tests -- **Factory Pattern**: TagServiceTestDataFactory provides consistent test data -- **Fixtures**: Mock objects are configured per test method -- **Assertions**: Each test verifies return values and side effects - (database operations, method calls) - -## Key Concepts - -**Tag Types:** -- knowledge: Tags for datasets/knowledge bases -- app: Tags for applications - -**Tag Bindings:** -- Many-to-many relationship between tags and resources -- Each binding links a tag to a specific app or dataset -- Bindings are tenant-scoped for multi-tenancy - -**Validation:** -- Tag names must be unique within tenant and type -- Target resources must exist before binding -- Cascade deletion of bindings when tag is deleted -""" - - -# ============================================================================ -# IMPORTS -# ============================================================================ - -from datetime import UTC, datetime -from unittest.mock import MagicMock, Mock, create_autospec, patch - -import pytest -from werkzeug.exceptions import NotFound - -from models.dataset import Dataset -from models.enums import TagType -from models.model import App, Tag, TagBinding -from services.tag_service import TagService - -# ============================================================================ -# TEST DATA FACTORY -# ============================================================================ - - -class TagServiceTestDataFactory: - """ - Factory for creating test data and mock objects. - - Provides reusable methods to create consistent mock objects for testing - tag-related operations. This factory ensures all test data follows the - same structure and reduces code duplication across tests. - - The factory pattern is used here to: - - Ensure consistent test data creation - - Reduce boilerplate code in individual tests - - Make tests more maintainable and readable - - Centralize mock object configuration - """ - - @staticmethod - def create_tag_mock( - tag_id: str = "tag-123", - name: str = "Test Tag", - tag_type: TagType = TagType.APP, - tenant_id: str = "tenant-123", - **kwargs, - ) -> Mock: - """ - Create a mock Tag object. - - This method creates a mock Tag instance with all required attributes - set to sensible defaults. Additional attributes can be passed via - kwargs to customize the mock for specific test scenarios. - - Args: - tag_id: Unique identifier for the tag - name: Tag name (e.g., "Frontend", "Backend", "Data Science") - tag_type: Type of tag ('app' or 'knowledge') - tenant_id: Tenant identifier for multi-tenancy isolation - **kwargs: Additional attributes to set on the mock - (e.g., created_by, created_at, etc.) - - Returns: - Mock Tag object with specified attributes - - Example: - >>> tag = factory.create_tag_mock( - ... tag_id="tag-456", - ... name="Machine Learning", - ... tag_type="knowledge" - ... ) - """ - # Create a mock that matches the Tag model interface - tag = create_autospec(Tag, instance=True) - - # Set core attributes - tag.id = tag_id - tag.name = name - tag.type = tag_type - tag.tenant_id = tenant_id - - # Set default optional attributes - tag.created_by = kwargs.pop("created_by", "user-123") - tag.created_at = kwargs.pop("created_at", datetime(2023, 1, 1, 0, 0, 0, tzinfo=UTC)) - - # Apply any additional attributes from kwargs - for key, value in kwargs.items(): - setattr(tag, key, value) - - return tag - - @staticmethod - def create_tag_binding_mock( - binding_id: str = "binding-123", - tag_id: str = "tag-123", - target_id: str = "target-123", - tenant_id: str = "tenant-123", - **kwargs, - ) -> Mock: - """ - Create a mock TagBinding object. - - TagBindings represent the many-to-many relationship between tags - and resources (datasets or apps). This method creates a mock - binding with the necessary attributes. - - Args: - binding_id: Unique identifier for the binding - tag_id: Associated tag identifier - target_id: Associated target (app/dataset) identifier - tenant_id: Tenant identifier for multi-tenancy isolation - **kwargs: Additional attributes to set on the mock - (e.g., created_by, etc.) - - Returns: - Mock TagBinding object with specified attributes - - Example: - >>> binding = factory.create_tag_binding_mock( - ... tag_id="tag-456", - ... target_id="dataset-789", - ... tenant_id="tenant-123" - ... ) - """ - # Create a mock that matches the TagBinding model interface - binding = create_autospec(TagBinding, instance=True) - - # Set core attributes - binding.id = binding_id - binding.tag_id = tag_id - binding.target_id = target_id - binding.tenant_id = tenant_id - - # Set default optional attributes - binding.created_by = kwargs.pop("created_by", "user-123") - - # Apply any additional attributes from kwargs - for key, value in kwargs.items(): - setattr(binding, key, value) - - return binding - - @staticmethod - def create_app_mock(app_id: str = "app-123", tenant_id: str = "tenant-123", **kwargs) -> Mock: - """ - Create a mock App object. - - This method creates a mock App instance for testing tag bindings - to applications. Apps are one of the two target types that tags - can be bound to (the other being datasets/knowledge bases). - - Args: - app_id: Unique identifier for the app - tenant_id: Tenant identifier for multi-tenancy isolation - **kwargs: Additional attributes to set on the mock - - Returns: - Mock App object with specified attributes - - Example: - >>> app = factory.create_app_mock( - ... app_id="app-456", - ... name="My Chat App" - ... ) - """ - # Create a mock that matches the App model interface - app = create_autospec(App, instance=True) - - # Set core attributes - app.id = app_id - app.tenant_id = tenant_id - app.name = kwargs.get("name", "Test App") - - # Apply any additional attributes from kwargs - for key, value in kwargs.items(): - setattr(app, key, value) - - return app - - @staticmethod - def create_dataset_mock(dataset_id: str = "dataset-123", tenant_id: str = "tenant-123", **kwargs) -> Mock: - """ - Create a mock Dataset object. - - This method creates a mock Dataset instance for testing tag bindings - to knowledge bases. Datasets (knowledge bases) are one of the two - target types that tags can be bound to (the other being apps). - - Args: - dataset_id: Unique identifier for the dataset - tenant_id: Tenant identifier for multi-tenancy isolation - **kwargs: Additional attributes to set on the mock - - Returns: - Mock Dataset object with specified attributes - - Example: - >>> dataset = factory.create_dataset_mock( - ... dataset_id="dataset-456", - ... name="My Knowledge Base" - ... ) - """ - # Create a mock that matches the Dataset model interface - dataset = create_autospec(Dataset, instance=True) - - # Set core attributes - dataset.id = dataset_id - dataset.tenant_id = tenant_id - dataset.name = kwargs.pop("name", "Test Dataset") - - # Apply any additional attributes from kwargs - for key, value in kwargs.items(): - setattr(dataset, key, value) - - return dataset - - -# ============================================================================ -# PYTEST FIXTURES -# ============================================================================ - - -@pytest.fixture -def factory(): - """ - Provide the test data factory to all tests. - - This fixture makes the TagServiceTestDataFactory available to all test - methods, allowing them to create consistent mock objects easily. - - Returns: - TagServiceTestDataFactory class - """ - return TagServiceTestDataFactory - - -# ============================================================================ -# TAG RETRIEVAL TESTS -# ============================================================================ - - -class TestTagServiceRetrieval: - """ - Test tag retrieval operations. - - This test class covers all methods related to retrieving and querying - tags from the system. These operations are read-only and do not modify - the database state. - - Methods tested: - - get_tags: Retrieve tags with optional keyword filtering - - get_target_ids_by_tag_ids: Get target IDs (datasets/apps) by tag IDs - - get_tag_by_tag_name: Find tags by exact name match - - get_tags_by_target_id: Get all tags bound to a specific target - """ - - @patch("services.tag_service.db.session") - def test_get_tags_with_binding_counts(self, mock_db_session, factory): - """ - Test retrieving tags with their binding counts. - - This test verifies that the get_tags method correctly retrieves - a list of tags along with the count of how many resources - (datasets/apps) are bound to each tag. - - The method should: - - Query tags filtered by type and tenant - - Include binding counts via a LEFT OUTER JOIN - - Return results ordered by creation date (newest first) - - Expected behavior: - - Returns a list of tuples containing (id, type, name, binding_count) - - Each tag includes its binding count - - Results are ordered by creation date descending - """ - # Arrange - # Set up test parameters - tenant_id = "tenant-123" - tag_type = "app" - - # Mock query results: tuples of (tag_id, type, name, binding_count) - # This simulates the SQL query result with aggregated binding counts - mock_results = [ - ("tag-1", "app", "Frontend", 5), # Frontend tag with 5 bindings - ("tag-2", "app", "Backend", 3), # Backend tag with 3 bindings - ("tag-3", "app", "API", 0), # API tag with no bindings - ] - - # Configure mock database session and query chain - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.outerjoin.return_value = mock_query # LEFT OUTER JOIN with TagBinding - mock_query.where.return_value = mock_query # WHERE clause for filtering - mock_query.group_by.return_value = mock_query # GROUP BY for aggregation - mock_query.order_by.return_value = mock_query # ORDER BY for sorting - mock_query.all.return_value = mock_results # Final result - - # Act - # Execute the method under test - results = TagService.get_tags(tag_type=tag_type, current_tenant_id=tenant_id) - - # Assert - # Verify the results match expectations - assert len(results) == 3, "Should return 3 tags" - - # Verify each tag's data structure - assert results[0] == ("tag-1", "app", "Frontend", 5), "First tag should match" - assert results[1] == ("tag-2", "app", "Backend", 3), "Second tag should match" - assert results[2] == ("tag-3", "app", "API", 0), "Third tag should match" - - # Verify database query was called - mock_db_session.query.assert_called_once() - - @patch("services.tag_service.db.session") - def test_get_tags_with_keyword_filter(self, mock_db_session, factory): - """ - Test retrieving tags filtered by keyword (case-insensitive). - - This test verifies that the get_tags method correctly filters tags - by keyword when a keyword parameter is provided. The filtering - should be case-insensitive and support partial matches. - - The method should: - - Apply an additional WHERE clause when keyword is provided - - Use ILIKE for case-insensitive pattern matching - - Support partial matches (e.g., "data" matches "Database" and "Data Science") - - Expected behavior: - - Returns only tags whose names contain the keyword - - Matching is case-insensitive - - Partial matches are supported - """ - # Arrange - # Set up test parameters - tenant_id = "tenant-123" - tag_type = "knowledge" - keyword = "data" - - # Mock query results filtered by keyword - mock_results = [ - ("tag-1", "knowledge", "Database", 2), - ("tag-2", "knowledge", "Data Science", 4), - ] - - # Configure mock database session and query chain - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.outerjoin.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.group_by.return_value = mock_query - mock_query.order_by.return_value = mock_query - mock_query.all.return_value = mock_results - - # Act - # Execute the method with keyword filter - results = TagService.get_tags(tag_type=tag_type, current_tenant_id=tenant_id, keyword=keyword) - - # Assert - # Verify filtered results - assert len(results) == 2, "Should return 2 matching tags" - - # Verify keyword filter was applied - # The where() method should be called at least twice: - # 1. Initial WHERE clause for type and tenant - # 2. Additional WHERE clause for keyword filtering - assert mock_query.where.call_count >= 2, "Keyword filter should add WHERE clause" - - @patch("services.tag_service.db.session") - def test_get_target_ids_by_tag_ids(self, mock_db_session, factory): - """ - Test retrieving target IDs by tag IDs. - - This test verifies that the get_target_ids_by_tag_ids method correctly - retrieves all target IDs (dataset/app IDs) that are bound to the - specified tags. This is useful for filtering datasets or apps by tags. - - The method should: - - First validate and filter tags by type and tenant - - Then find all bindings for those tags - - Return the target IDs from those bindings - - Expected behavior: - - Returns a list of target IDs (strings) - - Only includes targets bound to valid tags - - Respects tenant and type filtering - """ - # Arrange - # Set up test parameters - tenant_id = "tenant-123" - tag_type = "app" - tag_ids = ["tag-1", "tag-2"] - - # Create mock tag objects - tags = [ - factory.create_tag_mock(tag_id="tag-1", tenant_id=tenant_id, tag_type=tag_type), - factory.create_tag_mock(tag_id="tag-2", tenant_id=tenant_id, tag_type=tag_type), - ] - - # Mock target IDs that are bound to these tags - target_ids = ["app-1", "app-2", "app-3"] - - # Mock tag query (first scalars call) - mock_scalars_tags = MagicMock() - mock_scalars_tags.all.return_value = tags - - # Mock binding query (second scalars call) - mock_scalars_bindings = MagicMock() - mock_scalars_bindings.all.return_value = target_ids - - # Configure side_effect to return different mocks for each scalars() call - mock_db_session.scalars.side_effect = [mock_scalars_tags, mock_scalars_bindings] - - # Act - # Execute the method under test - results = TagService.get_target_ids_by_tag_ids(tag_type=tag_type, current_tenant_id=tenant_id, tag_ids=tag_ids) - - # Assert - # Verify results match expected target IDs - assert results == target_ids, "Should return all target IDs bound to tags" - - # Verify both queries were executed - assert mock_db_session.scalars.call_count == 2, "Should execute tag query and binding query" - - @patch("services.tag_service.db.session") - def test_get_target_ids_with_empty_tag_ids(self, mock_db_session, factory): - """ - Test that empty tag_ids returns empty list. - - This test verifies the edge case handling when an empty list of - tag IDs is provided. The method should return early without - executing any database queries. - - Expected behavior: - - Returns empty list immediately - - Does not execute any database queries - - Handles empty input gracefully - """ - # Arrange - # Set up test parameters with empty tag IDs - tenant_id = "tenant-123" - tag_type = "app" - - # Act - # Execute the method with empty tag IDs list - results = TagService.get_target_ids_by_tag_ids(tag_type=tag_type, current_tenant_id=tenant_id, tag_ids=[]) - - # Assert - # Verify empty result and no database queries - assert results == [], "Should return empty list for empty input" - mock_db_session.scalars.assert_not_called(), "Should not query database for empty input" - - @patch("services.tag_service.db.session") - def test_get_tag_by_tag_name(self, mock_db_session, factory): - """ - Test retrieving tags by name. - - This test verifies that the get_tag_by_tag_name method correctly - finds tags by their exact name. This is used for duplicate name - checking and tag lookup operations. - - The method should: - - Perform exact name matching (case-sensitive) - - Filter by type and tenant - - Return a list of matching tags (usually 0 or 1) - - Expected behavior: - - Returns list of tags with matching name - - Respects type and tenant filtering - - Returns empty list if no matches found - """ - # Arrange - # Set up test parameters - tenant_id = "tenant-123" - tag_type = "app" - tag_name = "Production" - - # Create mock tag with matching name - tags = [factory.create_tag_mock(name=tag_name, tag_type=tag_type, tenant_id=tenant_id)] - - # Configure mock database session - mock_scalars = MagicMock() - mock_scalars.all.return_value = tags - mock_db_session.scalars.return_value = mock_scalars - - # Act - # Execute the method under test - results = TagService.get_tag_by_tag_name(tag_type=tag_type, current_tenant_id=tenant_id, tag_name=tag_name) - - # Assert - # Verify tag was found - assert len(results) == 1, "Should find exactly one tag" - assert results[0].name == tag_name, "Tag name should match" - - @patch("services.tag_service.db.session") - def test_get_tag_by_tag_name_returns_empty_for_missing_params(self, mock_db_session, factory): - """ - Test that missing tag_type or tag_name returns empty list. - - This test verifies the input validation for the get_tag_by_tag_name - method. When either tag_type or tag_name is empty or missing, - the method should return early without querying the database. - - Expected behavior: - - Returns empty list for empty tag_type - - Returns empty list for empty tag_name - - Does not execute database queries for invalid input - """ - # Arrange - # Set up test parameters - tenant_id = "tenant-123" - - # Act & Assert - # Test with empty tag_type - assert TagService.get_tag_by_tag_name("", tenant_id, "name") == [], "Should return empty for empty type" - - # Test with empty tag_name - assert TagService.get_tag_by_tag_name("app", tenant_id, "") == [], "Should return empty for empty name" - - # Verify no database queries were executed - mock_db_session.scalars.assert_not_called(), "Should not query database for invalid input" - - @patch("services.tag_service.db.session") - def test_get_tags_by_target_id(self, mock_db_session, factory): - """ - Test retrieving tags associated with a specific target. - - This test verifies that the get_tags_by_target_id method correctly - retrieves all tags that are bound to a specific target (dataset or app). - This is useful for displaying tags associated with a resource. - - The method should: - - Join Tag and TagBinding tables - - Filter by target_id, tenant, and type - - Return all tags bound to the target - - Expected behavior: - - Returns list of Tag objects bound to the target - - Respects tenant and type filtering - - Returns empty list if no tags are bound - """ - # Arrange - # Set up test parameters - tenant_id = "tenant-123" - tag_type = "app" - target_id = "app-123" - - # Create mock tags that are bound to the target - tags = [ - factory.create_tag_mock(tag_id="tag-1", name="Frontend"), - factory.create_tag_mock(tag_id="tag-2", name="Production"), - ] - - # Configure mock database session and query chain - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.join.return_value = mock_query # JOIN with TagBinding - mock_query.where.return_value = mock_query # WHERE clause for filtering - mock_query.all.return_value = tags # Final result - - # Act - # Execute the method under test - results = TagService.get_tags_by_target_id(tag_type=tag_type, current_tenant_id=tenant_id, target_id=target_id) - - # Assert - # Verify tags were retrieved - assert len(results) == 2, "Should return 2 tags bound to target" - - # Verify tag names - assert results[0].name == "Frontend", "First tag name should match" - assert results[1].name == "Production", "Second tag name should match" - - -# ============================================================================ -# TAG CRUD OPERATIONS TESTS -# ============================================================================ - - -class TestTagServiceCRUD: - """ - Test tag CRUD operations. - - This test class covers all Create, Read, Update, and Delete operations - for tags. These operations modify the database state and require proper - transaction handling and validation. - - Methods tested: - - save_tags: Create new tags - - update_tags: Update existing tag names - - delete_tag: Delete tags and cascade delete bindings - - get_tag_binding_count: Get count of bindings for a tag - """ - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.TagService.get_tag_by_tag_name", autospec=True) - @patch("services.tag_service.db.session") - @patch("services.tag_service.uuid.uuid4", autospec=True) - def test_save_tags(self, mock_uuid, mock_db_session, mock_get_tag_by_name, mock_current_user, factory): - """ - Test creating a new tag. - - This test verifies that the save_tags method correctly creates a new - tag in the database with all required attributes. The method should - validate uniqueness, generate a UUID, and persist the tag. - - The method should: - - Check for duplicate tag names (via get_tag_by_tag_name) - - Generate a unique UUID for the tag ID - - Set user and tenant information from current_user - - Persist the tag to the database - - Commit the transaction - - Expected behavior: - - Creates tag with correct attributes - - Assigns UUID to tag ID - - Sets created_by from current_user - - Sets tenant_id from current_user - - Commits to database - """ - # Arrange - # Configure mock current_user - mock_current_user.id = "user-123" - mock_current_user.current_tenant_id = "tenant-123" - - # Mock UUID generation - mock_uuid.return_value = "new-tag-id" - - # Mock no existing tag (duplicate check passes) - mock_get_tag_by_name.return_value = [] - - # Prepare tag creation arguments - args = {"name": "New Tag", "type": "app"} - - # Act - # Execute the method under test - result = TagService.save_tags(args) - - # Assert - # Verify tag was added to database session - mock_db_session.add.assert_called_once(), "Should add tag to session" - - # Verify transaction was committed - mock_db_session.commit.assert_called_once(), "Should commit transaction" - - # Verify tag attributes - added_tag = mock_db_session.add.call_args[0][0] - assert added_tag.name == "New Tag", "Tag name should match" - assert added_tag.type == TagType.APP, "Tag type should match" - assert added_tag.created_by == "user-123", "Created by should match current user" - assert added_tag.tenant_id == "tenant-123", "Tenant ID should match current tenant" - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.TagService.get_tag_by_tag_name", autospec=True) - def test_save_tags_raises_error_for_duplicate_name(self, mock_get_tag_by_name, mock_current_user, factory): - """ - Test that creating a tag with duplicate name raises ValueError. - - This test verifies that the save_tags method correctly prevents - duplicate tag names within the same tenant and type. Tag names - must be unique per tenant and type combination. - - Expected behavior: - - Raises ValueError when duplicate name is detected - - Error message indicates "Tag name already exists" - - Does not create the tag - """ - # Arrange - # Configure mock current_user - mock_current_user.current_tenant_id = "tenant-123" - - # Mock existing tag with same name (duplicate detected) - existing_tag = factory.create_tag_mock(name="Existing Tag") - mock_get_tag_by_name.return_value = [existing_tag] - - # Prepare tag creation arguments with duplicate name - args = {"name": "Existing Tag", "type": "app"} - - # Act & Assert - # Verify ValueError is raised for duplicate name - with pytest.raises(ValueError, match="Tag name already exists"): - TagService.save_tags(args) - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.TagService.get_tag_by_tag_name", autospec=True) - @patch("services.tag_service.db.session") - def test_update_tags(self, mock_db_session, mock_get_tag_by_name, mock_current_user, factory): - """ - Test updating a tag name. - - This test verifies that the update_tags method correctly updates - an existing tag's name while preserving other attributes. The method - should validate uniqueness of the new name and ensure the tag exists. - - The method should: - - Check for duplicate tag names (excluding the current tag) - - Find the tag by ID - - Update the tag name - - Commit the transaction - - Expected behavior: - - Updates tag name successfully - - Preserves other tag attributes - - Commits to database - """ - # Arrange - # Configure mock current_user - mock_current_user.current_tenant_id = "tenant-123" - - # Mock no duplicate name (update check passes) - mock_get_tag_by_name.return_value = [] - - # Create mock tag to be updated - tag = factory.create_tag_mock(tag_id="tag-123", name="Old Name") - - # Configure mock database session to return the tag - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = tag - - # Prepare update arguments - args = {"name": "New Name", "type": "app"} - - # Act - # Execute the method under test - result = TagService.update_tags(args, tag_id="tag-123") - - # Assert - # Verify tag name was updated - assert tag.name == "New Name", "Tag name should be updated" - - # Verify transaction was committed - mock_db_session.commit.assert_called_once(), "Should commit transaction" - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.TagService.get_tag_by_tag_name", autospec=True) - @patch("services.tag_service.db.session") - def test_update_tags_raises_error_for_duplicate_name( - self, mock_db_session, mock_get_tag_by_name, mock_current_user, factory - ): - """ - Test that updating to a duplicate name raises ValueError. - - This test verifies that the update_tags method correctly prevents - updating a tag to a name that already exists for another tag - within the same tenant and type. - - Expected behavior: - - Raises ValueError when duplicate name is detected - - Error message indicates "Tag name already exists" - - Does not update the tag - """ - # Arrange - # Configure mock current_user - mock_current_user.current_tenant_id = "tenant-123" - - # Mock existing tag with the duplicate name - existing_tag = factory.create_tag_mock(name="Duplicate Name") - mock_get_tag_by_name.return_value = [existing_tag] - - # Prepare update arguments with duplicate name - args = {"name": "Duplicate Name", "type": "app"} - - # Act & Assert - # Verify ValueError is raised for duplicate name - with pytest.raises(ValueError, match="Tag name already exists"): - TagService.update_tags(args, tag_id="tag-123") - - @patch("services.tag_service.db.session") - def test_update_tags_raises_not_found_for_missing_tag(self, mock_db_session, factory): - """ - Test that updating a non-existent tag raises NotFound. - - This test verifies that the update_tags method correctly handles - the case when attempting to update a tag that does not exist. - This prevents silent failures and provides clear error feedback. - - Expected behavior: - - Raises NotFound exception - - Error message indicates "Tag not found" - - Does not attempt to update or commit - """ - # Arrange - # Configure mock database session to return None (tag not found) - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = None - - # Mock duplicate check and current_user - with patch("services.tag_service.TagService.get_tag_by_tag_name", return_value=[], autospec=True): - with patch("services.tag_service.current_user", autospec=True) as mock_user: - mock_user.current_tenant_id = "tenant-123" - args = {"name": "New Name", "type": "app"} - - # Act & Assert - # Verify NotFound is raised for non-existent tag - with pytest.raises(NotFound, match="Tag not found"): - TagService.update_tags(args, tag_id="nonexistent") - - @patch("services.tag_service.db.session") - def test_get_tag_binding_count(self, mock_db_session, factory): - """ - Test getting the count of bindings for a tag. - - This test verifies that the get_tag_binding_count method correctly - counts how many resources (datasets/apps) are bound to a specific tag. - This is useful for displaying tag usage statistics. - - The method should: - - Query TagBinding table filtered by tag_id - - Return the count of matching bindings - - Expected behavior: - - Returns integer count of bindings - - Returns 0 for tags with no bindings - """ - # Arrange - # Set up test parameters - tag_id = "tag-123" - expected_count = 5 - - # Configure mock database session - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.count.return_value = expected_count - - # Act - # Execute the method under test - result = TagService.get_tag_binding_count(tag_id) - - # Assert - # Verify count matches expectation - assert result == expected_count, "Binding count should match" - - @patch("services.tag_service.db.session") - def test_delete_tag(self, mock_db_session, factory): - """ - Test deleting a tag and its bindings. - - This test verifies that the delete_tag method correctly deletes - a tag along with all its associated bindings (cascade delete). - This ensures data integrity and prevents orphaned bindings. - - The method should: - - Find the tag by ID - - Delete the tag - - Find all bindings for the tag - - Delete all bindings (cascade delete) - - Commit the transaction - - Expected behavior: - - Deletes tag from database - - Deletes all associated bindings - - Commits transaction - """ - # Arrange - # Set up test parameters - tag_id = "tag-123" - - # Create mock tag to be deleted - tag = factory.create_tag_mock(tag_id=tag_id) - - # Create mock bindings that will be cascade deleted - bindings = [factory.create_tag_binding_mock(binding_id=f"binding-{i}", tag_id=tag_id) for i in range(3)] - - # Configure mock database session for tag query - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = tag - - # Configure mock database session for bindings query - mock_scalars = MagicMock() - mock_scalars.all.return_value = bindings - mock_db_session.scalars.return_value = mock_scalars - - # Act - # Execute the method under test - TagService.delete_tag(tag_id) - - # Assert - # Verify tag and bindings were deleted - mock_db_session.delete.assert_called(), "Should call delete method" - - # Verify delete was called 4 times (1 tag + 3 bindings) - assert mock_db_session.delete.call_count == 4, "Should delete tag and all bindings" - - # Verify transaction was committed - mock_db_session.commit.assert_called_once(), "Should commit transaction" - - @patch("services.tag_service.db.session") - def test_delete_tag_raises_not_found(self, mock_db_session, factory): - """ - Test that deleting a non-existent tag raises NotFound. - - This test verifies that the delete_tag method correctly handles - the case when attempting to delete a tag that does not exist. - This prevents silent failures and provides clear error feedback. - - Expected behavior: - - Raises NotFound exception - - Error message indicates "Tag not found" - - Does not attempt to delete or commit - """ - # Arrange - # Configure mock database session to return None (tag not found) - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = None - - # Act & Assert - # Verify NotFound is raised for non-existent tag - with pytest.raises(NotFound, match="Tag not found"): - TagService.delete_tag("nonexistent") - - -# ============================================================================ -# TAG BINDING OPERATIONS TESTS -# ============================================================================ - - -class TestTagServiceBindings: - """ - Test tag binding operations. - - This test class covers all operations related to binding tags to - resources (datasets and apps). Tag bindings create the many-to-many - relationship between tags and resources. - - Methods tested: - - save_tag_binding: Create bindings between tags and targets - - delete_tag_binding: Remove bindings between tags and targets - - check_target_exists: Validate target (dataset/app) existence - """ - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.TagService.check_target_exists", autospec=True) - @patch("services.tag_service.db.session") - def test_save_tag_binding(self, mock_db_session, mock_check_target, mock_current_user, factory): - """ - Test creating tag bindings. - - This test verifies that the save_tag_binding method correctly - creates bindings between tags and a target resource (dataset or app). - The method supports batch binding of multiple tags to a single target. - - The method should: - - Validate target exists (via check_target_exists) - - Check for existing bindings to avoid duplicates - - Create new bindings for tags that aren't already bound - - Commit the transaction - - Expected behavior: - - Validates target exists - - Creates bindings for each tag in tag_ids - - Skips tags that are already bound (idempotent) - - Commits transaction - """ - # Arrange - # Configure mock current_user - mock_current_user.id = "user-123" - mock_current_user.current_tenant_id = "tenant-123" - - # Configure mock database session (no existing bindings) - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = None # No existing bindings - - # Prepare binding arguments (batch binding) - args = {"type": "app", "target_id": "app-123", "tag_ids": ["tag-1", "tag-2"]} - - # Act - # Execute the method under test - TagService.save_tag_binding(args) - - # Assert - # Verify target existence was checked - mock_check_target.assert_called_once_with("app", "app-123"), "Should validate target exists" - - # Verify bindings were created (2 bindings for 2 tags) - assert mock_db_session.add.call_count == 2, "Should create 2 bindings" - - # Verify transaction was committed - mock_db_session.commit.assert_called_once(), "Should commit transaction" - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.TagService.check_target_exists", autospec=True) - @patch("services.tag_service.db.session") - def test_save_tag_binding_is_idempotent(self, mock_db_session, mock_check_target, mock_current_user, factory): - """ - Test that saving duplicate bindings is idempotent. - - This test verifies that the save_tag_binding method correctly handles - the case when attempting to create a binding that already exists. - The method should skip existing bindings and not create duplicates, - making the operation idempotent. - - Expected behavior: - - Checks for existing bindings - - Skips tags that are already bound - - Does not create duplicate bindings - - Still commits transaction - """ - # Arrange - # Configure mock current_user - mock_current_user.id = "user-123" - mock_current_user.current_tenant_id = "tenant-123" - - # Mock existing binding (duplicate detected) - existing_binding = factory.create_tag_binding_mock() - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = existing_binding # Binding already exists - - # Prepare binding arguments - args = {"type": "app", "target_id": "app-123", "tag_ids": ["tag-1"]} - - # Act - # Execute the method under test - TagService.save_tag_binding(args) - - # Assert - # Verify no new binding was added (idempotent) - mock_db_session.add.assert_not_called(), "Should not create duplicate binding" - - @patch("services.tag_service.TagService.check_target_exists", autospec=True) - @patch("services.tag_service.db.session") - def test_delete_tag_binding(self, mock_db_session, mock_check_target, factory): - """ - Test deleting a tag binding. - - This test verifies that the delete_tag_binding method correctly - removes a binding between a tag and a target resource. This - operation should be safe even if the binding doesn't exist. - - The method should: - - Validate target exists (via check_target_exists) - - Find the binding by tag_id and target_id - - Delete the binding if it exists - - Commit the transaction - - Expected behavior: - - Validates target exists - - Deletes the binding - - Commits transaction - """ - # Arrange - # Create mock binding to be deleted - binding = factory.create_tag_binding_mock() - - # Configure mock database session - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = binding - - # Prepare delete arguments - args = {"type": "app", "target_id": "app-123", "tag_id": "tag-1"} - - # Act - # Execute the method under test - TagService.delete_tag_binding(args) - - # Assert - # Verify target existence was checked - mock_check_target.assert_called_once_with("app", "app-123"), "Should validate target exists" - - # Verify binding was deleted - mock_db_session.delete.assert_called_once_with(binding), "Should delete the binding" - - # Verify transaction was committed - mock_db_session.commit.assert_called_once(), "Should commit transaction" - - @patch("services.tag_service.TagService.check_target_exists", autospec=True) - @patch("services.tag_service.db.session") - def test_delete_tag_binding_does_nothing_if_not_exists(self, mock_db_session, mock_check_target, factory): - """ - Test that deleting a non-existent binding is a no-op. - - This test verifies that the delete_tag_binding method correctly - handles the case when attempting to delete a binding that doesn't - exist. The method should not raise an error and should not commit - if there's nothing to delete. - - Expected behavior: - - Validates target exists - - Does not raise error for non-existent binding - - Does not call delete or commit if binding doesn't exist - """ - # Arrange - # Configure mock database session (binding not found) - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = None # Binding doesn't exist - - # Prepare delete arguments - args = {"type": "app", "target_id": "app-123", "tag_id": "tag-1"} - - # Act - # Execute the method under test - TagService.delete_tag_binding(args) - - # Assert - # Verify no delete operation was attempted - mock_db_session.delete.assert_not_called(), "Should not delete if binding doesn't exist" - - # Verify no commit was made (nothing changed) - mock_db_session.commit.assert_not_called(), "Should not commit if nothing to delete" - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.db.session") - def test_check_target_exists_for_dataset(self, mock_db_session, mock_current_user, factory): - """ - Test validating that a dataset target exists. - - This test verifies that the check_target_exists method correctly - validates the existence of a dataset (knowledge base) when the - target type is "knowledge". This validation ensures bindings - are only created for valid resources. - - The method should: - - Query Dataset table filtered by tenant and ID - - Raise NotFound if dataset doesn't exist - - Return normally if dataset exists - - Expected behavior: - - No exception raised when dataset exists - - Database query is executed - """ - # Arrange - # Configure mock current_user - mock_current_user.current_tenant_id = "tenant-123" - - # Create mock dataset - dataset = factory.create_dataset_mock() - - # Configure mock database session - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = dataset # Dataset exists - - # Act - # Execute the method under test - TagService.check_target_exists("knowledge", "dataset-123") - - # Assert - # Verify no exception was raised and query was executed - mock_db_session.query.assert_called_once(), "Should query database for dataset" - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.db.session") - def test_check_target_exists_for_app(self, mock_db_session, mock_current_user, factory): - """ - Test validating that an app target exists. - - This test verifies that the check_target_exists method correctly - validates the existence of an application when the target type is - "app". This validation ensures bindings are only created for valid - resources. - - The method should: - - Query App table filtered by tenant and ID - - Raise NotFound if app doesn't exist - - Return normally if app exists - - Expected behavior: - - No exception raised when app exists - - Database query is executed - """ - # Arrange - # Configure mock current_user - mock_current_user.current_tenant_id = "tenant-123" - - # Create mock app - app = factory.create_app_mock() - - # Configure mock database session - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = app # App exists - - # Act - # Execute the method under test - TagService.check_target_exists("app", "app-123") - - # Assert - # Verify no exception was raised and query was executed - mock_db_session.query.assert_called_once(), "Should query database for app" - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.db.session") - def test_check_target_exists_raises_not_found_for_missing_dataset( - self, mock_db_session, mock_current_user, factory - ): - """ - Test that missing dataset raises NotFound. - - This test verifies that the check_target_exists method correctly - raises a NotFound exception when attempting to validate a dataset - that doesn't exist. This prevents creating bindings for invalid - resources. - - Expected behavior: - - Raises NotFound exception - - Error message indicates "Dataset not found" - """ - # Arrange - # Configure mock current_user - mock_current_user.current_tenant_id = "tenant-123" - - # Configure mock database session (dataset not found) - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = None # Dataset doesn't exist - - # Act & Assert - # Verify NotFound is raised for non-existent dataset - with pytest.raises(NotFound, match="Dataset not found"): - TagService.check_target_exists("knowledge", "nonexistent") - - @patch("services.tag_service.current_user", autospec=True) - @patch("services.tag_service.db.session") - def test_check_target_exists_raises_not_found_for_missing_app(self, mock_db_session, mock_current_user, factory): - """ - Test that missing app raises NotFound. - - This test verifies that the check_target_exists method correctly - raises a NotFound exception when attempting to validate an app - that doesn't exist. This prevents creating bindings for invalid - resources. - - Expected behavior: - - Raises NotFound exception - - Error message indicates "App not found" - """ - # Arrange - # Configure mock current_user - mock_current_user.current_tenant_id = "tenant-123" - - # Configure mock database session (app not found) - mock_query = MagicMock() - mock_db_session.query.return_value = mock_query - mock_query.where.return_value = mock_query - mock_query.first.return_value = None # App doesn't exist - - # Act & Assert - # Verify NotFound is raised for non-existent app - with pytest.raises(NotFound, match="App not found"): - TagService.check_target_exists("app", "nonexistent") - - def test_check_target_exists_raises_not_found_for_invalid_type(self, factory): - """ - Test that invalid binding type raises NotFound. - - This test verifies that the check_target_exists method correctly - raises a NotFound exception when an invalid target type is provided. - Only "knowledge" (for datasets) and "app" are valid target types. - - Expected behavior: - - Raises NotFound exception - - Error message indicates "Invalid binding type" - """ - # Act & Assert - # Verify NotFound is raised for invalid target type - with pytest.raises(NotFound, match="Invalid binding type"): - TagService.check_target_exists("invalid_type", "target-123") diff --git a/api/tests/unit_tests/services/test_variable_truncator.py b/api/tests/unit_tests/services/test_variable_truncator.py index 2fe6161785..9c23135225 100644 --- a/api/tests/unit_tests/services/test_variable_truncator.py +++ b/api/tests/unit_tests/services/test_variable_truncator.py @@ -16,9 +16,7 @@ from typing import Any from uuid import uuid4 import pytest - -from graphon.file.enums import FileTransferMethod, FileType -from graphon.file.models import File +from graphon.file import File, FileTransferMethod, FileType from graphon.variables.segments import ( ArrayFileSegment, ArrayNumberSegment, @@ -30,6 +28,7 @@ from graphon.variables.segments import ( ObjectSegment, StringSegment, ) + from services.variable_truncator import ( DummyVariableTruncator, MaxDepthExceededError, diff --git a/api/tests/unit_tests/services/test_workflow_run_service_pause.py b/api/tests/unit_tests/services/test_workflow_run_service_pause.py index 239cc83518..a62c9f4555 100644 --- a/api/tests/unit_tests/services/test_workflow_run_service_pause.py +++ b/api/tests/unit_tests/services/test_workflow_run_service_pause.py @@ -13,10 +13,10 @@ from datetime import datetime from unittest.mock import MagicMock, create_autospec, patch import pytest +from graphon.enums import WorkflowExecutionStatus from sqlalchemy import Engine from sqlalchemy.orm import Session, sessionmaker -from graphon.enums import WorkflowExecutionStatus from models.workflow import WorkflowPause from repositories.api_workflow_run_repository import APIWorkflowRunRepository from repositories.sqlalchemy_api_workflow_run_repository import _PrivateWorkflowPauseEntity diff --git a/api/tests/unit_tests/services/test_workflow_service.py b/api/tests/unit_tests/services/test_workflow_service.py index da606c8329..cd71981bcf 100644 --- a/api/tests/unit_tests/services/test_workflow_service.py +++ b/api/tests/unit_tests/services/test_workflow_service.py @@ -15,7 +15,6 @@ from typing import Any, cast from unittest.mock import ANY, MagicMock, patch import pytest - from graphon.entities import WorkflowNodeExecution from graphon.enums import ( BuiltinNodeTypes, @@ -29,6 +28,7 @@ from graphon.model_runtime.entities.model_entities import ModelType from graphon.node_events import NodeRunResult from graphon.nodes.http_request import HTTP_REQUEST_CONFIG_FILTER_KEY, HttpRequestNode, HttpRequestNodeConfig from graphon.variables.input_entities import VariableEntityType + from libs.datetime_utils import naive_utc_now from models.human_input import RecipientType from models.model import App, AppMode diff --git a/api/tests/unit_tests/services/test_workspace_service.py b/api/tests/unit_tests/services/test_workspace_service.py deleted file mode 100644 index 9bfd7eb2c5..0000000000 --- a/api/tests/unit_tests/services/test_workspace_service.py +++ /dev/null @@ -1,576 +0,0 @@ -from __future__ import annotations - -from types import SimpleNamespace -from typing import Any, cast -from unittest.mock import MagicMock - -import pytest -from pytest_mock import MockerFixture - -from models.account import Tenant - -# --------------------------------------------------------------------------- -# Constants used throughout the tests -# --------------------------------------------------------------------------- - -TENANT_ID = "tenant-abc" -ACCOUNT_ID = "account-xyz" -FILES_BASE_URL = "https://files.example.com" - -DB_PATH = "services.workspace_service.db" -FEATURE_SERVICE_PATH = "services.workspace_service.FeatureService.get_features" -TENANT_SERVICE_PATH = "services.workspace_service.TenantService.has_roles" -DIFY_CONFIG_PATH = "services.workspace_service.dify_config" -CURRENT_USER_PATH = "services.workspace_service.current_user" -CREDIT_POOL_SERVICE_PATH = "services.credit_pool_service.CreditPoolService.get_pool" - - -# --------------------------------------------------------------------------- -# Helpers / factories -# --------------------------------------------------------------------------- - - -def _make_tenant( - tenant_id: str = TENANT_ID, - name: str = "My Workspace", - plan: str = "sandbox", - status: str = "active", - custom_config: dict | None = None, -) -> Tenant: - """Create a minimal Tenant-like namespace.""" - return cast( - Tenant, - SimpleNamespace( - id=tenant_id, - name=name, - plan=plan, - status=status, - created_at="2024-01-01T00:00:00Z", - custom_config_dict=custom_config or {}, - ), - ) - - -def _make_feature( - can_replace_logo: bool = False, - next_credit_reset_date: str | None = None, - billing_plan: str = "sandbox", -) -> MagicMock: - """Create a feature namespace matching what FeatureService.get_features returns.""" - feature = MagicMock() - feature.can_replace_logo = can_replace_logo - feature.next_credit_reset_date = next_credit_reset_date - feature.billing.subscription.plan = billing_plan - return feature - - -def _make_pool(quota_limit: int, quota_used: int) -> MagicMock: - pool = MagicMock() - pool.quota_limit = quota_limit - pool.quota_used = quota_used - return pool - - -def _make_tenant_account_join(role: str = "normal") -> SimpleNamespace: - return SimpleNamespace(role=role) - - -def _tenant_info(result: object) -> dict[str, Any] | None: - return cast(dict[str, Any] | None, result) - - -# --------------------------------------------------------------------------- -# Shared fixtures -# --------------------------------------------------------------------------- - - -@pytest.fixture -def mock_current_user() -> SimpleNamespace: - """Return a lightweight current_user stand-in.""" - return SimpleNamespace(id=ACCOUNT_ID) - - -@pytest.fixture -def basic_mocks(mocker: MockerFixture, mock_current_user: SimpleNamespace) -> dict: - """ - Patch the common external boundaries used by WorkspaceService.get_tenant_info. - - Returns a dict of named mocks so individual tests can customise them. - """ - mocker.patch(CURRENT_USER_PATH, mock_current_user) - - mock_db_session = mocker.patch(f"{DB_PATH}.session") - mock_query_chain = MagicMock() - mock_db_session.query.return_value = mock_query_chain - mock_query_chain.where.return_value = mock_query_chain - mock_query_chain.first.return_value = _make_tenant_account_join(role="owner") - - mock_feature = mocker.patch(FEATURE_SERVICE_PATH, return_value=_make_feature()) - mock_has_roles = mocker.patch(TENANT_SERVICE_PATH, return_value=False) - mock_config = mocker.patch(DIFY_CONFIG_PATH) - mock_config.EDITION = "SELF_HOSTED" - mock_config.FILES_URL = FILES_BASE_URL - - return { - "db_session": mock_db_session, - "query_chain": mock_query_chain, - "get_features": mock_feature, - "has_roles": mock_has_roles, - "config": mock_config, - } - - -# --------------------------------------------------------------------------- -# 1. None Tenant Handling -# --------------------------------------------------------------------------- - - -def test_get_tenant_info_should_return_none_when_tenant_is_none() -> None: - """get_tenant_info should short-circuit and return None for a falsy tenant.""" - from services.workspace_service import WorkspaceService - - # Arrange - tenant = None - - # Act - result = WorkspaceService.get_tenant_info(cast(Tenant, tenant)) - - # Assert - assert result is None - - -def test_get_tenant_info_should_return_none_when_tenant_is_falsy() -> None: - """get_tenant_info treats any falsy value as absent (e.g. empty string, 0).""" - from services.workspace_service import WorkspaceService - - # Arrange / Act / Assert - assert WorkspaceService.get_tenant_info("") is None # type: ignore[arg-type] - - -# --------------------------------------------------------------------------- -# 2. Basic Tenant Info — happy path -# --------------------------------------------------------------------------- - - -def test_get_tenant_info_should_return_base_fields( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """get_tenant_info should always return the six base scalar fields.""" - from services.workspace_service import WorkspaceService - - # Arrange - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["id"] == TENANT_ID - assert result["name"] == "My Workspace" - assert result["plan"] == "sandbox" - assert result["status"] == "active" - assert result["created_at"] == "2024-01-01T00:00:00Z" - assert result["trial_end_reason"] is None - - -def test_get_tenant_info_should_populate_role_from_tenant_account_join( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """The 'role' field should be taken from TenantAccountJoin, not the default.""" - from services.workspace_service import WorkspaceService - - # Arrange - basic_mocks["query_chain"].first.return_value = _make_tenant_account_join(role="admin") - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["role"] == "admin" - - -def test_get_tenant_info_should_raise_assertion_when_tenant_account_join_missing( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """ - The service asserts that TenantAccountJoin exists. - Missing join should raise AssertionError. - """ - from services.workspace_service import WorkspaceService - - # Arrange - basic_mocks["query_chain"].first.return_value = None - tenant = _make_tenant() - - # Act + Assert - with pytest.raises(AssertionError, match="TenantAccountJoin not found"): - WorkspaceService.get_tenant_info(tenant) - - -# --------------------------------------------------------------------------- -# 3. Logo Customisation -# --------------------------------------------------------------------------- - - -def test_get_tenant_info_should_include_custom_config_when_logo_allowed_and_admin( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """custom_config block should appear for OWNER/ADMIN when can_replace_logo is True.""" - from services.workspace_service import WorkspaceService - - # Arrange - basic_mocks["get_features"].return_value = _make_feature(can_replace_logo=True) - basic_mocks["has_roles"].return_value = True - tenant = _make_tenant( - custom_config={ - "replace_webapp_logo": True, - "remove_webapp_brand": True, - } - ) - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert "custom_config" in result - assert result["custom_config"]["remove_webapp_brand"] is True - expected_logo_url = f"{FILES_BASE_URL}/files/workspaces/{TENANT_ID}/webapp-logo" - assert result["custom_config"]["replace_webapp_logo"] == expected_logo_url - - -def test_get_tenant_info_should_set_replace_webapp_logo_to_none_when_flag_absent( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """replace_webapp_logo should be None when custom_config_dict does not have the key.""" - from services.workspace_service import WorkspaceService - - # Arrange - basic_mocks["get_features"].return_value = _make_feature(can_replace_logo=True) - basic_mocks["has_roles"].return_value = True - tenant = _make_tenant(custom_config={}) # no replace_webapp_logo key - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["custom_config"]["replace_webapp_logo"] is None - - -def test_get_tenant_info_should_not_include_custom_config_when_logo_not_allowed( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """custom_config should be absent when can_replace_logo is False.""" - from services.workspace_service import WorkspaceService - - # Arrange - basic_mocks["get_features"].return_value = _make_feature(can_replace_logo=False) - basic_mocks["has_roles"].return_value = True - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert "custom_config" not in result - - -def test_get_tenant_info_should_not_include_custom_config_when_user_not_admin( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """custom_config block is gated on OWNER or ADMIN role.""" - from services.workspace_service import WorkspaceService - - # Arrange - basic_mocks["get_features"].return_value = _make_feature(can_replace_logo=True) - basic_mocks["has_roles"].return_value = False # regular member - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert "custom_config" not in result - - -def test_get_tenant_info_should_use_files_url_for_logo_url( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """The logo URL should use dify_config.FILES_URL as the base.""" - from services.workspace_service import WorkspaceService - - # Arrange - custom_base = "https://cdn.mycompany.io" - basic_mocks["config"].FILES_URL = custom_base - basic_mocks["get_features"].return_value = _make_feature(can_replace_logo=True) - basic_mocks["has_roles"].return_value = True - tenant = _make_tenant(custom_config={"replace_webapp_logo": True}) - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["custom_config"]["replace_webapp_logo"].startswith(custom_base) - - -# --------------------------------------------------------------------------- -# 4. Cloud-Edition Credit Features -# --------------------------------------------------------------------------- - -CLOUD_BILLING_PLAN_NON_SANDBOX = "professional" # any plan that is not SANDBOX - - -@pytest.fixture -def cloud_mocks(mocker: MockerFixture, mock_current_user: SimpleNamespace) -> dict: - """Patches for CLOUD edition tests, billing plan = professional by default.""" - mocker.patch(CURRENT_USER_PATH, mock_current_user) - - mock_db_session = mocker.patch(f"{DB_PATH}.session") - mock_query_chain = MagicMock() - mock_db_session.query.return_value = mock_query_chain - mock_query_chain.where.return_value = mock_query_chain - mock_query_chain.first.return_value = _make_tenant_account_join(role="owner") - - mock_feature = mocker.patch( - FEATURE_SERVICE_PATH, - return_value=_make_feature( - can_replace_logo=False, - next_credit_reset_date="2025-02-01", - billing_plan=CLOUD_BILLING_PLAN_NON_SANDBOX, - ), - ) - mocker.patch(TENANT_SERVICE_PATH, return_value=False) - mock_config = mocker.patch(DIFY_CONFIG_PATH) - mock_config.EDITION = "CLOUD" - mock_config.FILES_URL = FILES_BASE_URL - - return { - "db_session": mock_db_session, - "query_chain": mock_query_chain, - "get_features": mock_feature, - "config": mock_config, - } - - -def test_get_tenant_info_should_add_next_credit_reset_date_in_cloud_edition( - mocker: MockerFixture, - cloud_mocks: dict, -) -> None: - """next_credit_reset_date should be present in CLOUD edition.""" - from services.workspace_service import WorkspaceService - - # Arrange - mocker.patch( - CREDIT_POOL_SERVICE_PATH, - side_effect=[None, None], # both paid and trial pools absent - ) - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["next_credit_reset_date"] == "2025-02-01" - - -def test_get_tenant_info_should_use_paid_pool_when_plan_is_not_sandbox_and_pool_not_full( - mocker: MockerFixture, - cloud_mocks: dict, -) -> None: - """trial_credits/trial_credits_used come from the paid pool when conditions are met.""" - from services.workspace_service import WorkspaceService - - # Arrange - paid_pool = _make_pool(quota_limit=1000, quota_used=200) - mocker.patch(CREDIT_POOL_SERVICE_PATH, return_value=paid_pool) - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["trial_credits"] == 1000 - assert result["trial_credits_used"] == 200 - - -def test_get_tenant_info_should_use_paid_pool_when_quota_limit_is_infinite( - mocker: MockerFixture, - cloud_mocks: dict, -) -> None: - """quota_limit == -1 means unlimited; service should still use the paid pool.""" - from services.workspace_service import WorkspaceService - - # Arrange - paid_pool = _make_pool(quota_limit=-1, quota_used=999) - mocker.patch(CREDIT_POOL_SERVICE_PATH, side_effect=[paid_pool, None]) - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["trial_credits"] == -1 - assert result["trial_credits_used"] == 999 - - -def test_get_tenant_info_should_fall_back_to_trial_pool_when_paid_pool_is_full( - mocker: MockerFixture, - cloud_mocks: dict, -) -> None: - """When paid pool is exhausted (used >= limit), switch to trial pool.""" - from services.workspace_service import WorkspaceService - - # Arrange - paid_pool = _make_pool(quota_limit=500, quota_used=500) # exactly full - trial_pool = _make_pool(quota_limit=100, quota_used=10) - mocker.patch(CREDIT_POOL_SERVICE_PATH, side_effect=[paid_pool, trial_pool]) - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["trial_credits"] == 100 - assert result["trial_credits_used"] == 10 - - -def test_get_tenant_info_should_fall_back_to_trial_pool_when_paid_pool_is_none( - mocker: MockerFixture, - cloud_mocks: dict, -) -> None: - """When paid_pool is None, fall back to trial pool.""" - from services.workspace_service import WorkspaceService - - # Arrange - trial_pool = _make_pool(quota_limit=50, quota_used=5) - mocker.patch(CREDIT_POOL_SERVICE_PATH, side_effect=[None, trial_pool]) - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["trial_credits"] == 50 - assert result["trial_credits_used"] == 5 - - -def test_get_tenant_info_should_fall_back_to_trial_pool_for_sandbox_plan( - mocker: MockerFixture, - cloud_mocks: dict, -) -> None: - """ - When the subscription plan IS SANDBOX, the paid pool branch is skipped - entirely and we fall back to the trial pool. - """ - from enums.cloud_plan import CloudPlan - from services.workspace_service import WorkspaceService - - # Arrange — override billing plan to SANDBOX - cloud_mocks["get_features"].return_value = _make_feature( - next_credit_reset_date="2025-02-01", - billing_plan=CloudPlan.SANDBOX, - ) - paid_pool = _make_pool(quota_limit=1000, quota_used=0) - trial_pool = _make_pool(quota_limit=200, quota_used=20) - mocker.patch(CREDIT_POOL_SERVICE_PATH, side_effect=[paid_pool, trial_pool]) - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert result["trial_credits"] == 200 - assert result["trial_credits_used"] == 20 - - -def test_get_tenant_info_should_omit_trial_credits_when_both_pools_are_none( - mocker: MockerFixture, - cloud_mocks: dict, -) -> None: - """When both paid and trial pools are absent, trial_credits should not be set.""" - from services.workspace_service import WorkspaceService - - # Arrange - mocker.patch(CREDIT_POOL_SERVICE_PATH, side_effect=[None, None]) - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert "trial_credits" not in result - assert "trial_credits_used" not in result - - -# --------------------------------------------------------------------------- -# 5. Self-hosted / Non-Cloud Edition -# --------------------------------------------------------------------------- - - -def test_get_tenant_info_should_not_include_cloud_fields_in_self_hosted( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """next_credit_reset_date and trial_credits should NOT appear in SELF_HOSTED mode.""" - from services.workspace_service import WorkspaceService - - # Arrange (basic_mocks already sets EDITION = "SELF_HOSTED") - tenant = _make_tenant() - - # Act - result = _tenant_info(WorkspaceService.get_tenant_info(tenant)) - - # Assert - assert result is not None - assert "next_credit_reset_date" not in result - assert "trial_credits" not in result - assert "trial_credits_used" not in result - - -# --------------------------------------------------------------------------- -# 6. DB query integrity -# --------------------------------------------------------------------------- - - -def test_get_tenant_info_should_query_tenant_account_join_with_correct_ids( - mocker: MockerFixture, - basic_mocks: dict, -) -> None: - """ - The DB query for TenantAccountJoin must be scoped to the correct - tenant_id and current_user.id. - """ - from services.workspace_service import WorkspaceService - - # Arrange - tenant = _make_tenant(tenant_id="my-special-tenant") - mock_current_user = mocker.patch(CURRENT_USER_PATH) - mock_current_user.id = "special-user-id" - - # Act - WorkspaceService.get_tenant_info(tenant) - - # Assert — db.session.query was invoked (at least once) - basic_mocks["db_session"].query.assert_called() diff --git a/api/tests/unit_tests/services/workflow/test_draft_var_loader_simple.py b/api/tests/unit_tests/services/workflow/test_draft_var_loader_simple.py index 2db83576b0..8525672da8 100644 --- a/api/tests/unit_tests/services/workflow/test_draft_var_loader_simple.py +++ b/api/tests/unit_tests/services/workflow/test_draft_var_loader_simple.py @@ -4,13 +4,12 @@ import json from unittest.mock import Mock, patch import pytest +from graphon.file import File, FileTransferMethod, FileType +from graphon.variables.segments import ObjectSegment, StringSegment +from graphon.variables.types import SegmentType from sqlalchemy import Engine from core.workflow.file_reference import build_file_reference -from graphon.file.enums import FileTransferMethod, FileType -from graphon.file.models import File -from graphon.variables.segments import ObjectSegment, StringSegment -from graphon.variables.types import SegmentType from models.model import UploadFile from models.workflow import WorkflowDraftVariable, WorkflowDraftVariableFile from services.workflow_draft_variable_service import DraftVarLoader diff --git a/api/tests/unit_tests/services/workflow/test_workflow_draft_variable_service.py b/api/tests/unit_tests/services/workflow/test_workflow_draft_variable_service.py index 6200c9f859..e7e72793a3 100644 --- a/api/tests/unit_tests/services/workflow/test_workflow_draft_variable_service.py +++ b/api/tests/unit_tests/services/workflow/test_workflow_draft_variable_service.py @@ -4,6 +4,10 @@ import uuid from unittest.mock import MagicMock, Mock, patch import pytest +from graphon.enums import BuiltinNodeTypes +from graphon.file import File, FileTransferMethod, FileType +from graphon.variables.segments import StringSegment +from graphon.variables.types import SegmentType from sqlalchemy import Engine from sqlalchemy.orm import Session @@ -13,11 +17,6 @@ from core.workflow.variable_prefixes import ( ENVIRONMENT_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID, ) -from graphon.enums import BuiltinNodeTypes -from graphon.file.enums import FileTransferMethod, FileType -from graphon.file.models import File -from graphon.variables.segments import StringSegment -from graphon.variables.types import SegmentType from libs.uuid_utils import uuidv7 from models.account import Account from models.enums import DraftVariableType diff --git a/api/tests/unit_tests/services/workflow/test_workflow_event_snapshot_service.py b/api/tests/unit_tests/services/workflow/test_workflow_event_snapshot_service.py index ce66b78b64..077a7c27a2 100644 --- a/api/tests/unit_tests/services/workflow/test_workflow_event_snapshot_service.py +++ b/api/tests/unit_tests/services/workflow/test_workflow_event_snapshot_service.py @@ -8,13 +8,13 @@ from datetime import UTC, datetime from threading import Event import pytest +from graphon.entities.pause_reason import HumanInputRequired +from graphon.enums import WorkflowExecutionStatus, WorkflowNodeExecutionStatus +from graphon.runtime import GraphRuntimeState, VariablePool from core.app.app_config.entities import WorkflowUIBasedAppConfig from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerateEntity from core.app.layers.pause_state_persist_layer import WorkflowResumptionContext, _WorkflowGenerateEntityWrapper -from graphon.entities.pause_reason import HumanInputRequired -from graphon.enums import WorkflowExecutionStatus, WorkflowNodeExecutionStatus -from graphon.runtime import GraphRuntimeState, VariablePool from models.enums import CreatorUserRole from models.model import AppMode from models.workflow import WorkflowRun diff --git a/api/tests/unit_tests/services/workflow/test_workflow_human_input_delivery.py b/api/tests/unit_tests/services/workflow/test_workflow_human_input_delivery.py index d7192994b2..98d057e41f 100644 --- a/api/tests/unit_tests/services/workflow/test_workflow_human_input_delivery.py +++ b/api/tests/unit_tests/services/workflow/test_workflow_human_input_delivery.py @@ -3,6 +3,9 @@ from types import SimpleNamespace from unittest.mock import MagicMock import pytest +from graphon.entities.graph_config import NodeConfigDict, NodeConfigDictAdapter +from graphon.enums import BuiltinNodeTypes +from graphon.nodes.human_input.entities import HumanInputNodeData from sqlalchemy.orm import sessionmaker from core.workflow.human_input_compat import ( @@ -12,9 +15,6 @@ from core.workflow.human_input_compat import ( ExternalRecipient, MemberRecipient, ) -from graphon.entities.graph_config import NodeConfigDict, NodeConfigDictAdapter -from graphon.enums import BuiltinNodeTypes -from graphon.nodes.human_input.entities import HumanInputNodeData from services import workflow_service as workflow_service_module from services.workflow_service import WorkflowService diff --git a/api/tests/unit_tests/services/workflow/test_workflow_service.py b/api/tests/unit_tests/services/workflow/test_workflow_service.py deleted file mode 100644 index 6b04a1bc09..0000000000 --- a/api/tests/unit_tests/services/workflow/test_workflow_service.py +++ /dev/null @@ -1,415 +0,0 @@ -from contextlib import nullcontext -from types import SimpleNamespace -from unittest.mock import MagicMock - -import pytest - -from graphon.entities.graph_config import NodeConfigDictAdapter -from graphon.enums import BuiltinNodeTypes -from graphon.nodes.human_input.entities import FormInput, HumanInputNodeData, UserAction -from graphon.nodes.human_input.enums import FormInputType -from models.model import App -from models.workflow import Workflow -from services import workflow_service as workflow_service_module -from services.workflow_service import WorkflowService - - -class TestWorkflowService: - @pytest.fixture - def workflow_service(self): - mock_session_maker = MagicMock() - return WorkflowService(mock_session_maker) - - @pytest.fixture - def mock_app(self): - app = MagicMock(spec=App) - app.id = "app-id-1" - app.workflow_id = "workflow-id-1" - app.tenant_id = "tenant-id-1" - return app - - @pytest.fixture - def mock_workflows(self): - workflows = [] - for i in range(5): - workflow = MagicMock(spec=Workflow) - workflow.id = f"workflow-id-{i}" - workflow.app_id = "app-id-1" - workflow.created_at = f"2023-01-0{5 - i}" # Descending date order - workflow.created_by = "user-id-1" if i % 2 == 0 else "user-id-2" - workflow.marked_name = f"Workflow {i}" if i % 2 == 0 else "" - workflows.append(workflow) - return workflows - - @pytest.fixture - def dummy_session_cls(self): - class DummySession: - def __init__(self, *args, **kwargs): - self.commit = MagicMock() - - def __enter__(self): - return self - - def __exit__(self, exc_type, exc, tb): - return False - - def begin(self): - return nullcontext() - - return DummySession - - def test_get_all_published_workflow_no_workflow_id(self, workflow_service, mock_app): - mock_app.workflow_id = None - mock_session = MagicMock() - - workflows, has_more = workflow_service.get_all_published_workflow( - session=mock_session, app_model=mock_app, page=1, limit=10, user_id=None - ) - - assert workflows == [] - assert has_more is False - mock_session.scalars.assert_not_called() - - def test_get_all_published_workflow_basic(self, workflow_service, mock_app, mock_workflows): - mock_session = MagicMock() - mock_scalar_result = MagicMock() - mock_scalar_result.all.return_value = mock_workflows[:3] - mock_session.scalars.return_value = mock_scalar_result - - workflows, has_more = workflow_service.get_all_published_workflow( - session=mock_session, app_model=mock_app, page=1, limit=3, user_id=None - ) - - assert workflows == mock_workflows[:3] - assert has_more is False - mock_session.scalars.assert_called_once() - - def test_get_all_published_workflow_pagination(self, workflow_service, mock_app, mock_workflows): - mock_session = MagicMock() - mock_scalar_result = MagicMock() - # Return 4 items when limit is 3, which should indicate has_more=True - mock_scalar_result.all.return_value = mock_workflows[:4] - mock_session.scalars.return_value = mock_scalar_result - - workflows, has_more = workflow_service.get_all_published_workflow( - session=mock_session, app_model=mock_app, page=1, limit=3, user_id=None - ) - - # Should return only the first 3 items - assert len(workflows) == 3 - assert workflows == mock_workflows[:3] - assert has_more is True - - # Test page 2 - mock_scalar_result.all.return_value = mock_workflows[3:] - mock_session.scalars.return_value = mock_scalar_result - - workflows, has_more = workflow_service.get_all_published_workflow( - session=mock_session, app_model=mock_app, page=2, limit=3, user_id=None - ) - - assert len(workflows) == 2 - assert has_more is False - - def test_get_all_published_workflow_user_filter(self, workflow_service, mock_app, mock_workflows): - mock_session = MagicMock() - mock_scalar_result = MagicMock() - # Filter workflows for user-id-1 - filtered_workflows = [w for w in mock_workflows if w.created_by == "user-id-1"] - mock_scalar_result.all.return_value = filtered_workflows - mock_session.scalars.return_value = mock_scalar_result - - workflows, has_more = workflow_service.get_all_published_workflow( - session=mock_session, app_model=mock_app, page=1, limit=10, user_id="user-id-1" - ) - - assert workflows == filtered_workflows - assert has_more is False - mock_session.scalars.assert_called_once() - - # Verify that the select contains a user filter clause - args = mock_session.scalars.call_args[0][0] - assert "created_by" in str(args) - - def test_get_all_published_workflow_named_only(self, workflow_service, mock_app, mock_workflows): - mock_session = MagicMock() - mock_scalar_result = MagicMock() - # Filter workflows that have a marked_name - named_workflows = [w for w in mock_workflows if w.marked_name] - mock_scalar_result.all.return_value = named_workflows - mock_session.scalars.return_value = mock_scalar_result - - workflows, has_more = workflow_service.get_all_published_workflow( - session=mock_session, app_model=mock_app, page=1, limit=10, user_id=None, named_only=True - ) - - assert workflows == named_workflows - assert has_more is False - mock_session.scalars.assert_called_once() - - # Verify that the select contains a named_only filter clause - args = mock_session.scalars.call_args[0][0] - assert "marked_name !=" in str(args) - - def test_get_all_published_workflow_combined_filters(self, workflow_service, mock_app, mock_workflows): - mock_session = MagicMock() - mock_scalar_result = MagicMock() - # Combined filter: user-id-1 and has marked_name - filtered_workflows = [w for w in mock_workflows if w.created_by == "user-id-1" and w.marked_name] - mock_scalar_result.all.return_value = filtered_workflows - mock_session.scalars.return_value = mock_scalar_result - - workflows, has_more = workflow_service.get_all_published_workflow( - session=mock_session, app_model=mock_app, page=1, limit=10, user_id="user-id-1", named_only=True - ) - - assert workflows == filtered_workflows - assert has_more is False - mock_session.scalars.assert_called_once() - - # Verify that both filters are applied - args = mock_session.scalars.call_args[0][0] - assert "created_by" in str(args) - assert "marked_name !=" in str(args) - - def test_get_all_published_workflow_empty_result(self, workflow_service, mock_app): - mock_session = MagicMock() - mock_scalar_result = MagicMock() - mock_scalar_result.all.return_value = [] - mock_session.scalars.return_value = mock_scalar_result - - workflows, has_more = workflow_service.get_all_published_workflow( - session=mock_session, app_model=mock_app, page=1, limit=10, user_id=None - ) - - assert workflows == [] - assert has_more is False - mock_session.scalars.assert_called_once() - - def test_submit_human_input_form_preview_uses_rendered_content( - self, - workflow_service: WorkflowService, - monkeypatch: pytest.MonkeyPatch, - dummy_session_cls, - ) -> None: - service = workflow_service - node_data = HumanInputNodeData( - title="Human Input", - form_content="{{#$output.name#}}
", - inputs=[FormInput(type=FormInputType.TEXT_INPUT, output_variable_name="name")], - user_actions=[UserAction(id="approve", title="Approve")], - ) - node = MagicMock() - node.node_data = node_data - node.render_form_content_before_submission.return_value = "preview
" - node.render_form_content_with_outputs.return_value = "rendered
" - - service._build_human_input_variable_pool = MagicMock(return_value=MagicMock()) # type: ignore[method-assign] - service._build_human_input_node = MagicMock(return_value=node) # type: ignore[method-assign] - - workflow = MagicMock() - node_config = NodeConfigDictAdapter.validate_python( - {"id": "node-1", "data": {"type": BuiltinNodeTypes.HUMAN_INPUT}} - ) - workflow.get_node_config_by_id.return_value = node_config - workflow.get_enclosing_node_type_and_id.return_value = None - service.get_draft_workflow = MagicMock(return_value=workflow) # type: ignore[method-assign] - - saved_outputs: dict[str, object] = {} - - class DummySaver: - def __init__(self, *args, **kwargs): - pass - - def save(self, outputs, process_data): - saved_outputs.update(outputs) - - monkeypatch.setattr(workflow_service_module, "Session", dummy_session_cls) - monkeypatch.setattr(workflow_service_module, "DraftVariableSaver", DummySaver) - monkeypatch.setattr(workflow_service_module, "db", SimpleNamespace(engine=MagicMock())) - - app_model = SimpleNamespace(id="app-1", tenant_id="tenant-1") - account = SimpleNamespace(id="account-1") - - result = service.submit_human_input_form_preview( - app_model=app_model, - account=account, - node_id="node-1", - form_inputs={"name": "Ada", "extra": "ignored"}, - inputs={"#node-0.result#": "LLM output"}, - action="approve", - ) - - service._build_human_input_variable_pool.assert_called_once_with( - app_model=app_model, - workflow=workflow, - node_config=node_config, - manual_inputs={"#node-0.result#": "LLM output"}, - user_id="account-1", - ) - - node.render_form_content_with_outputs.assert_called_once() - called_args = node.render_form_content_with_outputs.call_args.args - assert called_args[0] == "preview
" - assert called_args[2] == node_data.outputs_field_names() - rendered_outputs = called_args[1] - assert rendered_outputs["name"] == "Ada" - assert rendered_outputs["extra"] == "ignored" - assert "extra" in saved_outputs - assert "extra" in result - assert saved_outputs["name"] == "Ada" - assert result["name"] == "Ada" - assert result["__action_id"] == "approve" - assert "__rendered_content" in result - - def test_submit_human_input_form_preview_missing_inputs_message(self, workflow_service: WorkflowService) -> None: - service = workflow_service - node_data = HumanInputNodeData( - title="Human Input", - form_content="{{#$output.name#}}
", - inputs=[FormInput(type=FormInputType.TEXT_INPUT, output_variable_name="name")], - user_actions=[UserAction(id="approve", title="Approve")], - ) - node = MagicMock() - node.node_data = node_data - node._render_form_content_before_submission.return_value = "preview
" - node._render_form_content_with_outputs.return_value = "rendered
" - - service._build_human_input_variable_pool = MagicMock(return_value=MagicMock()) # type: ignore[method-assign] - service._build_human_input_node = MagicMock(return_value=node) # type: ignore[method-assign] - - workflow = MagicMock() - workflow.get_node_config_by_id.return_value = NodeConfigDictAdapter.validate_python( - {"id": "node-1", "data": {"type": BuiltinNodeTypes.HUMAN_INPUT}} - ) - service.get_draft_workflow = MagicMock(return_value=workflow) # type: ignore[method-assign] - - app_model = SimpleNamespace(id="app-1", tenant_id="tenant-1") - account = SimpleNamespace(id="account-1") - with pytest.raises(ValueError) as exc_info: - service.submit_human_input_form_preview( - app_model=app_model, - account=account, - node_id="node-1", - form_inputs={}, - inputs={}, - action="approve", - ) - - assert "Missing required inputs" in str(exc_info.value) - - def test_run_draft_workflow_node_successful_behavior( - self, workflow_service, mock_app, monkeypatch, dummy_session_cls - ): - """Behavior: When a basic workflow node runs, it correctly sets up context, - executes the node, and saves outputs.""" - service = workflow_service - account = SimpleNamespace(id="account-1") - mock_workflow = MagicMock() - mock_workflow.id = "wf-1" - mock_workflow.tenant_id = "tenant-1" - mock_workflow.environment_variables = [] - mock_workflow.conversation_variables = [] - - # Mock node config - mock_workflow.get_node_config_by_id.return_value = NodeConfigDictAdapter.validate_python( - {"id": "node-1", "data": {"type": BuiltinNodeTypes.LLM}} - ) - mock_workflow.get_enclosing_node_type_and_id.return_value = None - - # Mock class methods - monkeypatch.setattr(workflow_service_module, "WorkflowDraftVariableService", MagicMock()) - monkeypatch.setattr(workflow_service_module, "DraftVarLoader", MagicMock()) - - # Mock workflow entry execution - mock_node_exec = MagicMock() - mock_node_exec.id = "exec-1" - mock_node_exec.process_data = {} - mock_run = MagicMock() - monkeypatch.setattr(workflow_service_module.WorkflowEntry, "single_step_run", mock_run) - - # Mock execution handling - service._handle_single_step_result = MagicMock(return_value=mock_node_exec) - - # Mock repository - mock_repo = MagicMock() - mock_repo.get_execution_by_id.return_value = mock_node_exec - mock_repo_factory = MagicMock(return_value=mock_repo) - monkeypatch.setattr( - workflow_service_module.DifyCoreRepositoryFactory, - "create_workflow_node_execution_repository", - mock_repo_factory, - ) - service._node_execution_service_repo = mock_repo - - # Set up node execution service repo mock to return our exec node - mock_node_exec.load_full_outputs.return_value = {"output_var": "result_value"} - mock_node_exec.node_id = "node-1" - mock_node_exec.node_type = "llm" - - # Mock draft variable saver - mock_saver = MagicMock() - monkeypatch.setattr(workflow_service_module, "DraftVariableSaver", MagicMock(return_value=mock_saver)) - - # Mock DB - monkeypatch.setattr(workflow_service_module, "db", SimpleNamespace(engine=MagicMock())) - - monkeypatch.setattr(workflow_service_module, "Session", dummy_session_cls) - - # Act - result = service.run_draft_workflow_node( - app_model=mock_app, - draft_workflow=mock_workflow, - node_id="node-1", - user_inputs={"input_val": "test"}, - account=account, - ) - - # Assert - assert result == mock_node_exec - service._handle_single_step_result.assert_called_once() - mock_repo.save.assert_called_once_with(mock_node_exec) - mock_saver.save.assert_called_once_with(process_data={}, outputs={"output_var": "result_value"}) - - def test_run_draft_workflow_node_failure_behavior(self, workflow_service, mock_app, monkeypatch, dummy_session_cls): - """Behavior: If retrieving the saved execution fails, an appropriate error bubble matches expectations.""" - service = workflow_service - account = SimpleNamespace(id="account-1") - mock_workflow = MagicMock() - mock_workflow.tenant_id = "tenant-1" - mock_workflow.environment_variables = [] - mock_workflow.conversation_variables = [] - mock_workflow.get_node_config_by_id.return_value = NodeConfigDictAdapter.validate_python( - {"id": "node-1", "data": {"type": BuiltinNodeTypes.LLM}} - ) - mock_workflow.get_enclosing_node_type_and_id.return_value = None - - monkeypatch.setattr(workflow_service_module, "WorkflowDraftVariableService", MagicMock()) - monkeypatch.setattr(workflow_service_module, "DraftVarLoader", MagicMock()) - monkeypatch.setattr(workflow_service_module.WorkflowEntry, "single_step_run", MagicMock()) - - mock_node_exec = MagicMock() - mock_node_exec.id = "exec-invalid" - service._handle_single_step_result = MagicMock(return_value=mock_node_exec) - - mock_repo = MagicMock() - mock_repo_factory = MagicMock(return_value=mock_repo) - monkeypatch.setattr( - workflow_service_module.DifyCoreRepositoryFactory, - "create_workflow_node_execution_repository", - mock_repo_factory, - ) - service._node_execution_service_repo = mock_repo - - # Simulate failure to retrieve the saved execution - mock_repo.get_execution_by_id.return_value = None - - monkeypatch.setattr(workflow_service_module, "db", SimpleNamespace(engine=MagicMock())) - - monkeypatch.setattr(workflow_service_module, "Session", dummy_session_cls) - - # Act & Assert - with pytest.raises(ValueError, match="WorkflowNodeExecution with id exec-invalid not found after saving"): - service.run_draft_workflow_node( - app_model=mock_app, draft_workflow=mock_workflow, node_id="node-1", user_inputs={}, account=account - ) diff --git a/api/tests/unit_tests/tasks/test_enterprise_telemetry_task.py b/api/tests/unit_tests/tasks/test_enterprise_telemetry_task.py new file mode 100644 index 0000000000..b48c69a146 --- /dev/null +++ b/api/tests/unit_tests/tasks/test_enterprise_telemetry_task.py @@ -0,0 +1,69 @@ +"""Unit tests for enterprise telemetry Celery task.""" + +import json +from unittest.mock import MagicMock, patch + +import pytest + +from enterprise.telemetry.contracts import TelemetryCase, TelemetryEnvelope +from tasks.enterprise_telemetry_task import process_enterprise_telemetry + + +@pytest.fixture +def sample_envelope_json(): + envelope = TelemetryEnvelope( + case=TelemetryCase.APP_CREATED, + tenant_id="test-tenant", + event_id="test-event-123", + payload={"app_id": "app-123"}, + ) + return envelope.model_dump_json() + + +def test_process_enterprise_telemetry_success(sample_envelope_json): + with patch("tasks.enterprise_telemetry_task.EnterpriseMetricHandler") as mock_handler_class: + mock_handler = MagicMock() + mock_handler_class.return_value = mock_handler + + process_enterprise_telemetry(sample_envelope_json) + + mock_handler.handle.assert_called_once() + call_args = mock_handler.handle.call_args[0][0] + assert isinstance(call_args, TelemetryEnvelope) + assert call_args.case == TelemetryCase.APP_CREATED + assert call_args.tenant_id == "test-tenant" + assert call_args.event_id == "test-event-123" + + +def test_process_enterprise_telemetry_invalid_json(caplog): + invalid_json = "not valid json" + + process_enterprise_telemetry(invalid_json) + + assert "Failed to process enterprise telemetry envelope" in caplog.text + + +def test_process_enterprise_telemetry_handler_exception(sample_envelope_json, caplog): + with patch("tasks.enterprise_telemetry_task.EnterpriseMetricHandler") as mock_handler_class: + mock_handler = MagicMock() + mock_handler.handle.side_effect = Exception("Handler error") + mock_handler_class.return_value = mock_handler + + process_enterprise_telemetry(sample_envelope_json) + + assert "Failed to process enterprise telemetry envelope" in caplog.text + + +def test_process_enterprise_telemetry_validation_error(caplog): + invalid_envelope = json.dumps( + { + "case": "INVALID_CASE", + "tenant_id": "test-tenant", + "event_id": "test-event", + "payload": {}, + } + ) + + process_enterprise_telemetry(invalid_envelope) + + assert "Failed to process enterprise telemetry envelope" in caplog.text diff --git a/api/tests/unit_tests/tasks/test_human_input_timeout_tasks.py b/api/tests/unit_tests/tasks/test_human_input_timeout_tasks.py index 591da56f49..7119217e94 100644 --- a/api/tests/unit_tests/tasks/test_human_input_timeout_tasks.py +++ b/api/tests/unit_tests/tasks/test_human_input_timeout_tasks.py @@ -5,8 +5,8 @@ from types import SimpleNamespace from typing import Any import pytest - from graphon.nodes.human_input.enums import HumanInputFormKind, HumanInputFormStatus + from tasks import human_input_timeout_tasks as task_module diff --git a/api/tests/unit_tests/tools/test_mcp_tool.py b/api/tests/unit_tests/tools/test_mcp_tool.py index f31bf80046..68359ba078 100644 --- a/api/tests/unit_tests/tools/test_mcp_tool.py +++ b/api/tests/unit_tests/tools/test_mcp_tool.py @@ -3,6 +3,7 @@ from decimal import Decimal from unittest.mock import Mock, patch import pytest +from graphon.model_runtime.entities.llm_entities import LLMUsage from core.mcp.types import ( AudioContent, @@ -17,7 +18,6 @@ from core.tools.__base.tool_runtime import ToolRuntime from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_entities import ToolEntity, ToolIdentity, ToolInvokeMessage from core.tools.mcp_tool.tool import MCPTool -from graphon.model_runtime.entities.llm_entities import LLMUsage def _make_mcp_tool(output_schema: dict | None = None) -> MCPTool: diff --git a/api/tests/unit_tests/utils/structured_output_parser/test_structured_output_parser.py b/api/tests/unit_tests/utils/structured_output_parser/test_structured_output_parser.py index c166a946d9..ffa6833524 100644 --- a/api/tests/unit_tests/utils/structured_output_parser/test_structured_output_parser.py +++ b/api/tests/unit_tests/utils/structured_output_parser/test_structured_output_parser.py @@ -2,9 +2,6 @@ from decimal import Decimal from unittest.mock import MagicMock, patch import pytest - -from core.llm_generator.output_parser.errors import OutputParserError -from core.llm_generator.output_parser.structured_output import invoke_llm_with_structured_output from graphon.model_runtime.entities.llm_entities import ( LLMResult, LLMResultChunk, @@ -21,6 +18,9 @@ from graphon.model_runtime.entities.message_entities import ( ) from graphon.model_runtime.entities.model_entities import AIModelEntity, ModelType +from core.llm_generator.output_parser.errors import OutputParserError +from core.llm_generator.output_parser.structured_output import invoke_llm_with_structured_output + def create_mock_usage(prompt_tokens: int = 10, completion_tokens: int = 5) -> LLMUsage: """Create a mock LLMUsage with all required fields""" diff --git a/api/tests/workflow_test_utils.py b/api/tests/workflow_test_utils.py index a29df0bb6b..d33ac2c710 100644 --- a/api/tests/workflow_test_utils.py +++ b/api/tests/workflow_test_utils.py @@ -1,12 +1,13 @@ from collections.abc import Mapping from typing import Any -from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom, build_dify_run_context -from core.workflow.variable_pool_initializer import add_node_inputs_to_pool, add_variables_to_pool -from graphon.entities.graph_init_params import GraphInitParams +from graphon.entities import GraphInitParams from graphon.runtime import VariablePool from graphon.variables.variables import Variable +from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom, build_dify_run_context +from core.workflow.variable_pool_initializer import add_node_inputs_to_pool, add_variables_to_pool + def build_test_run_context( *, diff --git a/api/uv.lock b/api/uv.lock index fb08594fb3..c4cf31e3f5 100644 --- a/api/uv.lock +++ b/api/uv.lock @@ -204,7 +204,7 @@ sdist = { url = "https://files.pythonhosted.org/packages/9a/7d/b22cb9a0d4f396ee0 [[package]] name = "alibabacloud-tea-openapi" -version = "0.4.3" +version = "0.4.4" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "alibabacloud-credentials" }, @@ -213,9 +213,9 @@ dependencies = [ { name = 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api/tests/unit_tests --ignore=api/tests/unit_tests/controllers # Run controller tests sequentially to avoid import race conditions -pytest --timeout "${PYTEST_TIMEOUT}" api/tests/unit_tests/controllers +pytest --timeout "${PYTEST_TIMEOUT}" --cov-append api/tests/unit_tests/controllers diff --git a/docker/.env.example b/docker/.env.example index 8cf77cf56b..9fbf9a9e72 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -488,7 +488,8 @@ ALIYUN_OSS_REGION=ap-southeast-1 ALIYUN_OSS_AUTH_VERSION=v4 # Don't start with '/'. OSS doesn't support leading slash in object names. ALIYUN_OSS_PATH=your-path -ALIYUN_CLOUDBOX_ID=your-cloudbox-id +# Optional CloudBox ID for Aliyun OSS, DO NOT enable it if you are not using CloudBox. +#ALIYUN_CLOUDBOX_ID=your-cloudbox-id # Tencent COS Configuration # diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml index 98c2613a07..e55cf942c3 100644 --- a/docker/docker-compose-template.yaml +++ b/docker/docker-compose-template.yaml @@ -275,6 +275,7 @@ services: # Use the shared environment variables. <<: *shared-api-worker-env DB_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin} + DB_SSL_MODE: ${DB_SSL_MODE:-disable} SERVER_PORT: ${PLUGIN_DAEMON_PORT:-5002} SERVER_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi} MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} diff --git a/docker/docker-compose.middleware.yaml b/docker/docker-compose.middleware.yaml index 1746bb567a..911da70a73 100644 --- a/docker/docker-compose.middleware.yaml +++ b/docker/docker-compose.middleware.yaml @@ -127,6 +127,8 @@ services: restart: always env_file: - ./middleware.env + extra_hosts: + - "host.docker.internal:host-gateway" environment: # Use the shared environment variables. LOG_OUTPUT_FORMAT: ${LOG_OUTPUT_FORMAT:-text} diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 2a75de1a89..737a62020c 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -146,7 +146,6 @@ x-shared-env: &shared-api-worker-env ALIYUN_OSS_REGION: ${ALIYUN_OSS_REGION:-ap-southeast-1} ALIYUN_OSS_AUTH_VERSION: ${ALIYUN_OSS_AUTH_VERSION:-v4} ALIYUN_OSS_PATH: ${ALIYUN_OSS_PATH:-your-path} - ALIYUN_CLOUDBOX_ID: ${ALIYUN_CLOUDBOX_ID:-your-cloudbox-id} TENCENT_COS_BUCKET_NAME: ${TENCENT_COS_BUCKET_NAME:-your-bucket-name} TENCENT_COS_SECRET_KEY: ${TENCENT_COS_SECRET_KEY:-your-secret-key} TENCENT_COS_SECRET_ID: ${TENCENT_COS_SECRET_ID:-your-secret-id} @@ -985,6 +984,7 @@ services: # Use the shared environment variables. <<: *shared-api-worker-env DB_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin} + DB_SSL_MODE: ${DB_SSL_MODE:-disable} SERVER_PORT: ${PLUGIN_DAEMON_PORT:-5002} SERVER_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi} MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} diff --git a/docs/ar-SA/README.md b/docs/ar-SA/README.md index 99e3e3567e..af5a9bfdc6 100644 --- a/docs/ar-SA/README.md +++ b/docs/ar-SA/README.md @@ -53,7 +53,11 @@
+
+
+
+
diff --git a/docs/bn-BD/README.md b/docs/bn-BD/README.md
index f3fa68b466..5dceacb187 100644
--- a/docs/bn-BD/README.md
+++ b/docs/bn-BD/README.md
@@ -57,7 +57,11 @@
+
+
+
+
ডিফাই একটি ওপেন-সোর্স LLM অ্যাপ ডেভেলপমেন্ট প্ল্যাটফর্ম। এটি ইন্টুইটিভ ইন্টারফেস, এজেন্টিক AI ওয়ার্কফ্লো, RAG পাইপলাইন, এজেন্ট ক্যাপাবিলিটি, মডেল ম্যানেজমেন্ট, মনিটরিং সুবিধা এবং আরও অনেক কিছু একত্রিত করে, যা দ্রুত প্রোটোটাইপ থেকে প্রোডাকশন পর্যন্ত নিয়ে যেতে সহায়তা করে।
diff --git a/docs/de-DE/README.md b/docs/de-DE/README.md
index c71a0bfccf..1eab517a6d 100644
--- a/docs/de-DE/README.md
+++ b/docs/de-DE/README.md
@@ -57,7 +57,11 @@
+
+
+
+
Dify ist eine Open-Source-Plattform zur Entwicklung von LLM-Anwendungen. Ihre intuitive Benutzeroberfläche vereint agentenbasierte KI-Workflows, RAG-Pipelines, Agentenfunktionen, Modellverwaltung, Überwachungsfunktionen und mehr, sodass Sie schnell von einem Prototyp in die Produktion übergehen können.
diff --git a/docs/es-ES/README.md b/docs/es-ES/README.md
index da81b51d6a..f4c60e3d8f 100644
--- a/docs/es-ES/README.md
+++ b/docs/es-ES/README.md
@@ -53,7 +53,11 @@
+
+
+
+
#
diff --git a/docs/fr-FR/README.md b/docs/fr-FR/README.md
index 291c8dab40..db8730b36b 100644
--- a/docs/fr-FR/README.md
+++ b/docs/fr-FR/README.md
@@ -53,7 +53,11 @@
+
+
+
+
#
diff --git a/docs/hi-IN/README.md b/docs/hi-IN/README.md
index bedeaa6246..ad712046b5 100644
--- a/docs/hi-IN/README.md
+++ b/docs/hi-IN/README.md
@@ -58,6 +58,8 @@
+
+
diff --git a/docs/it-IT/README.md b/docs/it-IT/README.md
index 2e96335d3e..bca560b574 100644
--- a/docs/it-IT/README.md
+++ b/docs/it-IT/README.md
@@ -58,7 +58,10 @@
+
+
+
Dify è una piattaforma open-source per lo sviluppo di applicazioni LLM. La sua interfaccia intuitiva combina flussi di lavoro AI basati su agenti, pipeline RAG, funzionalità di agenti, gestione dei modelli, funzionalità di monitoraggio e altro ancora, permettendovi di passare rapidamente da un prototipo alla produzione.
diff --git a/docs/ja-JP/README.md b/docs/ja-JP/README.md
index 659ffbda51..298dcb95aa 100644
--- a/docs/ja-JP/README.md
+++ b/docs/ja-JP/README.md
@@ -53,7 +53,11 @@
+
+
+
+
#
diff --git a/docs/ko-KR/README.md b/docs/ko-KR/README.md
index 2f6c526ef2..2dcacaae8b 100644
--- a/docs/ko-KR/README.md
+++ b/docs/ko-KR/README.md
@@ -53,7 +53,11 @@
-
+
+
+
+
+
Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:
diff --git a/docs/pt-BR/README.md b/docs/pt-BR/README.md
index ed29ec0294..f7cc37a20f 100644
--- a/docs/pt-BR/README.md
+++ b/docs/pt-BR/README.md
@@ -58,7 +58,10 @@
+
+
+
Dify é uma plataforma de desenvolvimento de aplicativos LLM de código aberto. Sua interface intuitiva combina workflow de IA, pipeline RAG, capacidades de agente, gerenciamento de modelos, recursos de observabilidade e muito mais, permitindo que você vá rapidamente do protótipo à produção. Aqui está uma lista das principais funcionalidades:
diff --git a/docs/sl-SI/README.md b/docs/sl-SI/README.md
index caef2c303c..7b3fe76b5d 100644
--- a/docs/sl-SI/README.md
+++ b/docs/sl-SI/README.md
@@ -53,9 +53,12 @@
-
+
+
+
+
Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje.
diff --git a/docs/tlh/README.md b/docs/tlh/README.md
index e2acd7734c..a8e63026c8 100644
--- a/docs/tlh/README.md
+++ b/docs/tlh/README.md
@@ -53,7 +53,11 @@
+
+
+
+
#
diff --git a/docs/tr-TR/README.md b/docs/tr-TR/README.md
index 6361ca5dd9..cecc1b189c 100644
--- a/docs/tr-TR/README.md
+++ b/docs/tr-TR/README.md
@@ -53,7 +53,11 @@
+
+
+
+
Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel arayüzü, AI iş akışı, RAG pipeline'ı, ajan yetenekleri, model yönetimi, gözlemlenebilirlik özellikleri ve daha fazlasını birleştirerek, prototipten üretime hızlıca geçmenizi sağlar. İşte temel özelliklerin bir listesi:
diff --git a/docs/vi-VN/README.md b/docs/vi-VN/README.md
index 3042a98d95..5230d53110 100644
--- a/docs/vi-VN/README.md
+++ b/docs/vi-VN/README.md
@@ -53,7 +53,11 @@
+
+
+
+
Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Giao diện trực quan kết hợp quy trình làm việc AI, mô hình RAG, khả năng tác nhân, quản lý mô hình, tính năng quan sát và hơn thế nữa, cho phép bạn nhanh chóng chuyển từ nguyên mẫu sang sản phẩm. Đây là danh sách các tính năng cốt lõi:
diff --git a/docs/zh-CN/README.md b/docs/zh-CN/README.md
index 15bb447ad8..8ba8009959 100644
--- a/docs/zh-CN/README.md
+++ b/docs/zh-CN/README.md
@@ -53,7 +53,11 @@
+
+
+
+
#
diff --git a/docs/zh-TW/README.md b/docs/zh-TW/README.md
index 14b343ba29..de5bab8679 100644
--- a/docs/zh-TW/README.md
+++ b/docs/zh-TW/README.md
@@ -57,6 +57,11 @@
+
+
+
+
ডিফাই একটি ওপেন-সোর্স LLM অ্যাপ ডেভেলপমেন্ট প্ল্যাটফর্ম। এটি ইন্টুইটিভ ইন্টারফেস, এজেন্টিক AI ওয়ার্কফ্লো, RAG পাইপলাইন, এজেন্ট ক্যাপাবিলিটি, মডেল ম্যানেজমেন্ট, মনিটরিং সুবিধা এবং আরও অনেক কিছু একত্রিত করে, যা দ্রুত প্রোটোটাইপ থেকে প্রোডাকশন পর্যন্ত নিয়ে যেতে সহায়তা করে।
diff --git a/docs/de-DE/README.md b/docs/de-DE/README.md
index c71a0bfccf..1eab517a6d 100644
--- a/docs/de-DE/README.md
+++ b/docs/de-DE/README.md
@@ -57,7 +57,11 @@
+
+
+
+
Dify ist eine Open-Source-Plattform zur Entwicklung von LLM-Anwendungen. Ihre intuitive Benutzeroberfläche vereint agentenbasierte KI-Workflows, RAG-Pipelines, Agentenfunktionen, Modellverwaltung, Überwachungsfunktionen und mehr, sodass Sie schnell von einem Prototyp in die Produktion übergehen können.
diff --git a/docs/es-ES/README.md b/docs/es-ES/README.md
index da81b51d6a..f4c60e3d8f 100644
--- a/docs/es-ES/README.md
+++ b/docs/es-ES/README.md
@@ -53,7 +53,11 @@
+
+
+
+
#
diff --git a/docs/fr-FR/README.md b/docs/fr-FR/README.md
index 291c8dab40..db8730b36b 100644
--- a/docs/fr-FR/README.md
+++ b/docs/fr-FR/README.md
@@ -53,7 +53,11 @@
+
+
+
+
#
diff --git a/docs/hi-IN/README.md b/docs/hi-IN/README.md
index bedeaa6246..ad712046b5 100644
--- a/docs/hi-IN/README.md
+++ b/docs/hi-IN/README.md
@@ -58,6 +58,8 @@
+
+
diff --git a/docs/it-IT/README.md b/docs/it-IT/README.md
index 2e96335d3e..bca560b574 100644
--- a/docs/it-IT/README.md
+++ b/docs/it-IT/README.md
@@ -58,7 +58,10 @@
+
+
+
Dify è una piattaforma open-source per lo sviluppo di applicazioni LLM. La sua interfaccia intuitiva combina flussi di lavoro AI basati su agenti, pipeline RAG, funzionalità di agenti, gestione dei modelli, funzionalità di monitoraggio e altro ancora, permettendovi di passare rapidamente da un prototipo alla produzione.
diff --git a/docs/ja-JP/README.md b/docs/ja-JP/README.md
index 659ffbda51..298dcb95aa 100644
--- a/docs/ja-JP/README.md
+++ b/docs/ja-JP/README.md
@@ -53,7 +53,11 @@
+
+
+
+
#
diff --git a/docs/ko-KR/README.md b/docs/ko-KR/README.md
index 2f6c526ef2..2dcacaae8b 100644
--- a/docs/ko-KR/README.md
+++ b/docs/ko-KR/README.md
@@ -53,7 +53,11 @@
-
+
+
+
+
+
Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:
diff --git a/docs/pt-BR/README.md b/docs/pt-BR/README.md
index ed29ec0294..f7cc37a20f 100644
--- a/docs/pt-BR/README.md
+++ b/docs/pt-BR/README.md
@@ -58,7 +58,10 @@
+
+
+
Dify é uma plataforma de desenvolvimento de aplicativos LLM de código aberto. Sua interface intuitiva combina workflow de IA, pipeline RAG, capacidades de agente, gerenciamento de modelos, recursos de observabilidade e muito mais, permitindo que você vá rapidamente do protótipo à produção. Aqui está uma lista das principais funcionalidades:
diff --git a/docs/sl-SI/README.md b/docs/sl-SI/README.md
index caef2c303c..7b3fe76b5d 100644
--- a/docs/sl-SI/README.md
+++ b/docs/sl-SI/README.md
@@ -53,9 +53,12 @@
-
+
+
+
+
Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje.
diff --git a/docs/tlh/README.md b/docs/tlh/README.md
index e2acd7734c..a8e63026c8 100644
--- a/docs/tlh/README.md
+++ b/docs/tlh/README.md
@@ -53,7 +53,11 @@
+
+
+
+
#
diff --git a/docs/tr-TR/README.md b/docs/tr-TR/README.md
index 6361ca5dd9..cecc1b189c 100644
--- a/docs/tr-TR/README.md
+++ b/docs/tr-TR/README.md
@@ -53,7 +53,11 @@
+
+
+
+
Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel arayüzü, AI iş akışı, RAG pipeline'ı, ajan yetenekleri, model yönetimi, gözlemlenebilirlik özellikleri ve daha fazlasını birleştirerek, prototipten üretime hızlıca geçmenizi sağlar. İşte temel özelliklerin bir listesi:
diff --git a/docs/vi-VN/README.md b/docs/vi-VN/README.md
index 3042a98d95..5230d53110 100644
--- a/docs/vi-VN/README.md
+++ b/docs/vi-VN/README.md
@@ -53,7 +53,11 @@
+
+
+
+
Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Giao diện trực quan kết hợp quy trình làm việc AI, mô hình RAG, khả năng tác nhân, quản lý mô hình, tính năng quan sát và hơn thế nữa, cho phép bạn nhanh chóng chuyển từ nguyên mẫu sang sản phẩm. Đây là danh sách các tính năng cốt lõi:
diff --git a/docs/zh-CN/README.md b/docs/zh-CN/README.md
index 15bb447ad8..8ba8009959 100644
--- a/docs/zh-CN/README.md
+++ b/docs/zh-CN/README.md
@@ -53,7 +53,11 @@
+
+
+
+
+
+
+
+
+
Dify 是一個開源的 LLM 應用程式開發平台。其直觀的界面結合了智能代理工作流程、RAG 管道、代理功能、模型管理、可觀察性功能等，讓您能夠快速從原型進展到生產環境。
diff --git a/e2e/.gitignore b/e2e/.gitignore
new file mode 100644
index 0000000000..96c1e0f3a1
--- /dev/null
+++ b/e2e/.gitignore
@@ -0,0 +1,6 @@
+node_modules/
+.auth/
+playwright-report/
+test-results/
+cucumber-report/
+.logs/
diff --git a/e2e/AGENTS.md b/e2e/AGENTS.md
new file mode 100644
index 0000000000..245c9863d4
--- /dev/null
+++ b/e2e/AGENTS.md
@@ -0,0 +1,164 @@
+# E2E
+
+This package contains the repository-level end-to-end tests for Dify.
+
+This file is the canonical package guide for `e2e/`. Keep detailed workflow, architecture, debugging, and reporting documentation here. Keep `README.md` as a minimal pointer to this file so the two documents do not drift.
+
+The suite uses Cucumber for scenario definitions and Playwright as the browser execution layer.
+
+It tests:
+
+- backend API started from source
+- frontend served from the production artifact
+- middleware services started from Docker
+
+## Prerequisites
+
+- Node.js `^22.22.1`
+- `pnpm`
+- `uv`
+- Docker
+
+Install Playwright browsers once:
+
+```bash
+cd e2e
+pnpm install
+pnpm e2e:install
+pnpm check
+```
+
+Use `pnpm check` as the default local verification step after editing E2E TypeScript, Cucumber support code, or feature glue. It runs formatting, linting, and type checks for this package.
+
+Common commands:
+
+```bash
+# authenticated-only regression (default excludes @fresh)
+# expects backend API, frontend artifact, and middleware stack to already be running
+pnpm e2e
+
+# full reset + fresh install + authenticated scenarios
+# starts required middleware/dependencies for you
+pnpm e2e:full
+
+# run a tagged subset
+pnpm e2e -- --tags @smoke
+
+# headed browser
+pnpm e2e:headed -- --tags @smoke
+
+# slow down browser actions for local debugging
+E2E_SLOW_MO=500 pnpm e2e:headed -- --tags @smoke
+```
+
+Frontend artifact behavior:
+
+- if `web/.next/BUILD_ID` exists, E2E reuses the existing build by default
+- if you set `E2E_FORCE_WEB_BUILD=1`, E2E rebuilds the frontend before starting it
+
+## Lifecycle
+
+```mermaid
+flowchart TD
+ A["Start E2E run"] --> B["run-cucumber.ts orchestrates setup/API/frontend"]
+ B --> C["support/web-server.ts starts or reuses frontend directly"]
+ C --> D["Cucumber loads config, steps, and support modules"]
+ D --> E["BeforeAll bootstraps shared auth state via /install"]
+ E --> F{"Which command is running?"}
+ F -->|`pnpm e2e`| G["Run config default tags: not @fresh and not @skip"]
+ F -->|`pnpm e2e:full*`| H["Override tags to not @skip"]
+ G --> I["Per-scenario BrowserContext from shared browser"]
+ H --> I
+ I --> J["Failure artifacts written to cucumber-report/artifacts"]
+```
+
+Ownership is split like this:
+
+- `scripts/setup.ts` is the single environment entrypoint for reset, middleware, backend, and frontend startup
+- `run-cucumber.ts` orchestrates the E2E run and Cucumber invocation
+- `support/web-server.ts` manages frontend reuse, startup, readiness, and shutdown
+- `features/support/hooks.ts` manages auth bootstrap, scenario lifecycle, and diagnostics
+- `features/support/world.ts` owns per-scenario typed context
+- `features/step-definitions/` holds domain-oriented glue so the official VS Code Cucumber plugin works with default conventions when `e2e/` is opened as the workspace root
+
+Package layout:
+
+- `features/`: Gherkin scenarios grouped by capability
+- `features/step-definitions/`: domain-oriented step definitions
+- `features/support/hooks.ts`: suite lifecycle, auth-state bootstrap, diagnostics
+- `features/support/world.ts`: shared scenario context
+- `support/web-server.ts`: typed frontend startup/reuse logic
+- `scripts/setup.ts`: reset and service lifecycle commands
+- `scripts/run-cucumber.ts`: Cucumber orchestration entrypoint
+
+Behavior depends on instance state:
+
+- uninitialized instance: completes install and stores authenticated state
+- initialized instance: signs in and reuses authenticated state
+
+Because of that, the `@fresh` install scenario only runs in the `pnpm e2e:full*` flows. The default `pnpm e2e*` flows exclude `@fresh` via Cucumber config tags so they can be re-run against an already initialized instance.
+
+Reset all persisted E2E state:
+
+```bash
+pnpm e2e:reset
+```
+
+This removes:
+
+- `docker/volumes/db/data`
+- `docker/volumes/redis/data`
+- `docker/volumes/weaviate`
+- `docker/volumes/plugin_daemon`
+- `e2e/.auth`
+- `e2e/.logs`
+- `e2e/cucumber-report`
+
+Start the full middleware stack:
+
+```bash
+pnpm e2e:middleware:up
+```
+
+Stop the full middleware stack:
+
+```bash
+pnpm e2e:middleware:down
+```
+
+The middleware stack includes:
+
+- PostgreSQL
+- Redis
+- Weaviate
+- Sandbox
+- SSRF proxy
+- Plugin daemon
+
+Fresh install verification:
+
+```bash
+pnpm e2e:full
+```
+
+Run the Cucumber suite against an already running middleware stack:
+
+```bash
+pnpm e2e:middleware:up
+pnpm e2e
+pnpm e2e:middleware:down
+```
+
+Artifacts and diagnostics:
+
+- `cucumber-report/report.html`: HTML report
+- `cucumber-report/report.json`: JSON report
+- `cucumber-report/artifacts/`: failure screenshots and HTML captures
+- `.logs/cucumber-api.log`: backend startup log
+- `.logs/cucumber-web.log`: frontend startup log
+
+Open the HTML report locally with:
+
+```bash
+open cucumber-report/report.html
+```
diff --git a/e2e/README.md b/e2e/README.md
new file mode 100644
index 0000000000..9b4046eaff
--- /dev/null
+++ b/e2e/README.md
@@ -0,0 +1,3 @@
+# E2E
+
+Canonical documentation for this package lives in [AGENTS.md](./AGENTS.md).
diff --git a/e2e/cucumber.config.ts b/e2e/cucumber.config.ts
new file mode 100644
index 0000000000..c162a6562e
--- /dev/null
+++ b/e2e/cucumber.config.ts
@@ -0,0 +1,19 @@
+import type { IConfiguration } from '@cucumber/cucumber'
+
+const config = {
+ format: [
+ 'progress-bar',
+ 'summary',
+ 'html:./cucumber-report/report.html',
+ 'json:./cucumber-report/report.json',
+ ],
+ import: ['features/**/*.ts'],
+ parallel: 1,
+ paths: ['features/**/*.feature'],
+ tags: process.env.E2E_CUCUMBER_TAGS || 'not @fresh and not @skip',
+ timeout: 60_000,
+} satisfies Partial{PrimitiveCode}
,
@@ -76,9 +121,9 @@ const findEchartsHost = async () => {
const findEchartsInstance = async () => {
const host = await findEchartsHost()
await waitFor(() => {
- expect(echartsCjs.getInstanceByDom(host)).toBeTruthy()
+ expect(echarts.getInstanceByDom(host)).toBeTruthy()
})
- return echartsCjs.getInstanceByDom(host)!
+ return echarts.getInstanceByDom(host)!
}
describe('CodeBlock', () => {
diff --git a/web/app/components/base/node-status/__tests__/index.spec.tsx b/web/app/components/base/node-status/__tests__/index.spec.tsx
index f74af4965e..37b12946c8 100644
--- a/web/app/components/base/node-status/__tests__/index.spec.tsx
+++ b/web/app/components/base/node-status/__tests__/index.spec.tsx
@@ -41,7 +41,7 @@ describe('NodeStatus', () => {
it('applies styleCss correctly', () => {
const { container } = render(
diff --git a/web/app/components/plugins/plugin-detail-panel/__tests__/endpoint-card.spec.tsx b/web/app/components/plugins/plugin-detail-panel/__tests__/endpoint-card.spec.tsx
index 237c72adf0..2af14c5864 100644
--- a/web/app/components/plugins/plugin-detail-panel/__tests__/endpoint-card.spec.tsx
+++ b/web/app/components/plugins/plugin-detail-panel/__tests__/endpoint-card.spec.tsx
@@ -142,7 +142,7 @@ describe('EndpointCard', () => {
failureFlags.disable = false
failureFlags.delete = false
failureFlags.update = false
- // Polyfill document.execCommand for copy-to-clipboard in jsdom
+ // Polyfill document.execCommand for copy-to-clipboard in the test DOM runtime
if (typeof document.execCommand !== 'function') {
document.execCommand = vi.fn().mockReturnValue(true)
}
diff --git a/web/app/components/plugins/plugin-detail-panel/subscription-list/create/__tests__/oauth-client.spec.tsx b/web/app/components/plugins/plugin-detail-panel/subscription-list/create/__tests__/oauth-client.spec.tsx
index ce53bf5b9a..5c4407b3c5 100644
--- a/web/app/components/plugins/plugin-detail-panel/subscription-list/create/__tests__/oauth-client.spec.tsx
+++ b/web/app/components/plugins/plugin-detail-panel/subscription-list/create/__tests__/oauth-client.spec.tsx
@@ -102,10 +102,12 @@ vi.mock('@/app/components/base/ui/toast', () => ({
}))
const mockClipboardWriteText = vi.fn()
-Object.assign(navigator, {
- clipboard: {
+Object.defineProperty(navigator, 'clipboard', {
+ value: {
writeText: mockClipboardWriteText,
},
+ configurable: true,
+ writable: true,
})
vi.mock('@/app/components/base/modal/modal', () => ({
@@ -192,6 +194,13 @@ describe('OAuthClientSettingsModal', () => {
vi.clearAllMocks()
mockUsePluginStore.mockReturnValue(mockPluginDetail)
mockClipboardWriteText.mockResolvedValue(undefined)
+ Object.defineProperty(navigator, 'clipboard', {
+ value: {
+ writeText: mockClipboardWriteText,
+ },
+ configurable: true,
+ writable: true,
+ })
setMockFormValues({
values: { client_id: 'test-client-id', client_secret: 'test-client-secret' },
isCheckValidated: true,
diff --git a/web/app/components/workflow/__tests__/custom-edge-linear-gradient-render.spec.tsx b/web/app/components/workflow/__tests__/custom-edge-linear-gradient-render.spec.tsx
index e962923158..973dfacbc8 100644
--- a/web/app/components/workflow/__tests__/custom-edge-linear-gradient-render.spec.tsx
+++ b/web/app/components/workflow/__tests__/custom-edge-linear-gradient-render.spec.tsx
@@ -48,10 +48,10 @@ describe('CustomEdgeLinearGradientRender', () => {
const stops = container.querySelectorAll('stop')
expect(stops).toHaveLength(2)
expect(stops[0]).toHaveAttribute('offset', '0%')
- expect(stops[0].getAttribute('style')).toContain('stop-color: rgb(17, 17, 17)')
+ expect(stops[0].getAttribute('style')).toContain('stop-color: #111111')
expect(stops[0].getAttribute('style')).toContain('stop-opacity: 1')
expect(stops[1]).toHaveAttribute('offset', '100%')
- expect(stops[1].getAttribute('style')).toContain('stop-color: rgb(34, 34, 34)')
+ expect(stops[1].getAttribute('style')).toContain('stop-color: #222222')
expect(stops[1].getAttribute('style')).toContain('stop-opacity: 1')
})
})
diff --git a/web/app/components/workflow/__tests__/selection-contextmenu.spec.tsx b/web/app/components/workflow/__tests__/selection-contextmenu.spec.tsx
index b153eb8b8a..1106cfcb75 100644
--- a/web/app/components/workflow/__tests__/selection-contextmenu.spec.tsx
+++ b/web/app/components/workflow/__tests__/selection-contextmenu.spec.tsx
@@ -10,6 +10,9 @@ import { renderWorkflowFlowComponent } from './workflow-test-env'
let latestNodes: Node[] = []
let latestHistoryEvent: string | undefined
const mockGetNodesReadOnly = vi.fn()
+const mockHandleNodesCopy = vi.fn()
+const mockHandleNodesDuplicate = vi.fn()
+const mockHandleNodesDelete = vi.fn()
vi.mock('../hooks', async () => {
const actual = await vi.importActual('../hooks')
@@ -18,6 +21,11 @@ vi.mock('../hooks', async () => {
useNodesReadOnly: () => ({
getNodesReadOnly: mockGetNodesReadOnly,
}),
+ useNodesInteractions: () => ({
+ handleNodesCopy: mockHandleNodesCopy,
+ handleNodesDuplicate: mockHandleNodesDuplicate,
+ handleNodesDelete: mockHandleNodesDelete,
+ }),
}
})
@@ -73,6 +81,9 @@ describe('SelectionContextmenu', () => {
latestHistoryEvent = undefined
mockGetNodesReadOnly.mockReset()
mockGetNodesReadOnly.mockReturnValue(false)
+ mockHandleNodesCopy.mockReset()
+ mockHandleNodesDuplicate.mockReset()
+ mockHandleNodesDelete.mockReset()
})
it('should not render when selectionMenu is absent', () => {
@@ -97,6 +108,40 @@ describe('SelectionContextmenu', () => {
})
})
+ it('should render and execute copy/duplicate/delete operations', async () => {
+ const nodes = [
+ createNode({ id: 'n1', selected: true, width: 80, height: 40 }),
+ createNode({ id: 'n2', selected: true, position: { x: 140, y: 0 }, width: 80, height: 40 }),
+ ]
+ const { store } = renderSelectionMenu({ nodes })
+
+ act(() => {
+ store.setState({ selectionMenu: { clientX: 120, clientY: 120 } })
+ })
+
+ await waitFor(() => {
+ expect(screen.getByTestId('selection-contextmenu-item-copy')).toBeInTheDocument()
+ })
+
+ fireEvent.click(screen.getByTestId('selection-contextmenu-item-copy'))
+ expect(mockHandleNodesCopy).toHaveBeenCalledTimes(1)
+ expect(store.getState().selectionMenu).toBeUndefined()
+
+ act(() => {
+ store.setState({ selectionMenu: { clientX: 120, clientY: 120 } })
+ })
+ fireEvent.click(screen.getByTestId('selection-contextmenu-item-duplicate'))
+ expect(mockHandleNodesDuplicate).toHaveBeenCalledTimes(1)
+ expect(store.getState().selectionMenu).toBeUndefined()
+
+ act(() => {
+ store.setState({ selectionMenu: { clientX: 120, clientY: 120 } })
+ })
+ fireEvent.click(screen.getByTestId('selection-contextmenu-item-delete'))
+ expect(mockHandleNodesDelete).toHaveBeenCalledTimes(1)
+ expect(store.getState().selectionMenu).toBeUndefined()
+ })
+
it('should close itself when only one node is selected', async () => {
const nodes = [
createNode({ id: 'n1', selected: true, width: 80, height: 40 }),
diff --git a/web/app/components/workflow/__tests__/update-dsl-modal.spec.tsx b/web/app/components/workflow/__tests__/update-dsl-modal.spec.tsx
index 82645f2028..961ab6ddb4 100644
--- a/web/app/components/workflow/__tests__/update-dsl-modal.spec.tsx
+++ b/web/app/components/workflow/__tests__/update-dsl-modal.spec.tsx
@@ -209,7 +209,7 @@ describe('UpdateDSLModal', () => {
})
await waitFor(() => {
- expect(screen.getByRole('button', { name: 'app.newApp.Cancel' })).toBeInTheDocument()
+ expect(screen.getByRole('button', { name: 'app.newApp.Confirm' })).toBeInTheDocument()
}, { timeout: 1000 })
fireEvent.click(screen.getByRole('button', { name: 'app.newApp.Cancel' }))
diff --git a/web/app/components/workflow/nodes/trigger-schedule/components/__tests__/integration.spec.tsx b/web/app/components/workflow/nodes/trigger-schedule/components/__tests__/integration.spec.tsx
index 00a6cbbe29..f2441e78d0 100644
--- a/web/app/components/workflow/nodes/trigger-schedule/components/__tests__/integration.spec.tsx
+++ b/web/app/components/workflow/nodes/trigger-schedule/components/__tests__/integration.spec.tsx
@@ -1,6 +1,6 @@
/* eslint-disable ts/no-explicit-any */
import type { ScheduleTriggerNodeType } from '../../types'
-import { fireEvent, render, screen, waitFor, within } from '@testing-library/react'
+import { render, screen, waitFor, within } from '@testing-library/react'
import userEvent from '@testing-library/user-event'
import FrequencySelector from '../frequency-selector'
import ModeSwitcher from '../mode-switcher'
@@ -44,14 +44,14 @@ describe('trigger-schedule components', () => {
)
const trigger = screen.getByRole('button', { name: 'workflow.nodes.triggerSchedule.frequency.daily' })
- fireEvent.click(trigger)
+ await user.click(trigger)
await waitFor(() => {
expect(trigger).toHaveAttribute('aria-expanded', 'true')
})
const listbox = await screen.findByRole('listbox')
- await user.click(within(listbox).getByText('workflow.nodes.triggerSchedule.frequency.weekly'))
+ await user.click(within(listbox).getByRole('option', { name: 'workflow.nodes.triggerSchedule.frequency.weekly' }))
await waitFor(() => {
expect(onChange).toHaveBeenCalledWith('weekly')
diff --git a/web/app/components/workflow/panel/chat-variable-panel/components/__tests__/variable-modal.spec.tsx b/web/app/components/workflow/panel/chat-variable-panel/components/__tests__/variable-modal.spec.tsx
index 319e3803f4..297b534a6a 100644
--- a/web/app/components/workflow/panel/chat-variable-panel/components/__tests__/variable-modal.spec.tsx
+++ b/web/app/components/workflow/panel/chat-variable-panel/components/__tests__/variable-modal.spec.tsx
@@ -150,7 +150,7 @@ describe('variable-modal', () => {
await user.click(screen.getByText('workflow.chatVariable.modal.editInJSON'))
await waitFor(() => {
- expect(screen.getByText('Loading...')).toBeInTheDocument()
+ expect(screen.getByTestId('monaco-editor')).toBeInTheDocument()
})
await user.click(screen.getByText('workflow.chatVariable.modal.editInForm'))
expect(screen.getByDisplayValue('enabled')).toBeInTheDocument()
diff --git a/web/app/components/workflow/selection-contextmenu.tsx b/web/app/components/workflow/selection-contextmenu.tsx
index c13d881cc2..2b22df5012 100644
--- a/web/app/components/workflow/selection-contextmenu.tsx
+++ b/web/app/components/workflow/selection-contextmenu.tsx
@@ -16,9 +16,10 @@ import {
ContextMenuItem,
ContextMenuSeparator,
} from '@/app/components/base/ui/context-menu'
-import { useNodesReadOnly, useNodesSyncDraft } from './hooks'
+import { useNodesInteractions, useNodesReadOnly, useNodesSyncDraft } from './hooks'
import { useSelectionInteractions } from './hooks/use-selection-interactions'
import { useWorkflowHistory, WorkflowHistoryEvent } from './hooks/use-workflow-history'
+import ShortcutsName from './shortcuts-name'
import { useStore, useWorkflowStore } from './store'
const AlignType = {
@@ -223,6 +224,7 @@ const SelectionContextmenu = () => {
const { t } = useTranslation()
const { getNodesReadOnly } = useNodesReadOnly()
const { handleSelectionContextmenuCancel } = useSelectionInteractions()
+ const { handleNodesCopy, handleNodesDelete, handleNodesDuplicate } = useNodesInteractions()
const selectionMenu = useStore(s => s.selectionMenu)
const store = useStoreApi()
const workflowStore = useWorkflowStore()
@@ -251,6 +253,21 @@ const SelectionContextmenu = () => {
handleSelectionContextmenuCancel()
}, [selectionMenu, selectedNodes.length, handleSelectionContextmenuCancel])
+ const handleCopyNodes = useCallback(() => {
+ handleNodesCopy()
+ handleSelectionContextmenuCancel()
+ }, [handleNodesCopy, handleSelectionContextmenuCancel])
+
+ const handleDuplicateNodes = useCallback(() => {
+ handleNodesDuplicate()
+ handleSelectionContextmenuCancel()
+ }, [handleNodesDuplicate, handleSelectionContextmenuCancel])
+
+ const handleDeleteNodes = useCallback(() => {
+ handleNodesDelete()
+ handleSelectionContextmenuCancel()
+ }, [handleNodesDelete, handleSelectionContextmenuCancel])
+
const handleAlignNodes = useCallback((alignType: AlignTypeValue) => {
if (getNodesReadOnly() || selectedNodes.length <= 1) {
handleSelectionContextmenuCancel()
@@ -329,6 +346,36 @@ const SelectionContextmenu = () => {
popupClassName="w-[240px]"
positionerProps={anchor ? { anchor } : undefined}
>
+
+
+ {t('common.copy', { defaultValue: 'common.copy', ns: 'workflow' })}
+
+
+ {t('common.duplicate', { defaultValue: 'common.duplicate', ns: 'workflow' })}
+
+
+
+
+ {t('operation.delete', { defaultValue: 'operation.delete', ns: 'common' })}
+
+
+
{sectionIndex > 0 && ترقية خطتك أو تكوين مفتاح API",
+ "modelProvider.card.creditsExhaustedFallback": "نفدت أرصدة الذكاء الاصطناعي، يتم الآن استخدام مفتاح API",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "قم بترقية خطتك لاستئناف أولوية أرصدة الذكاء الاصطناعي.",
+ "modelProvider.card.creditsExhaustedMessage": "نفدت أرصدة الذكاء الاصطناعي",
"modelProvider.card.modelAPI": "نماذج {{modelName}} تستخدم مفتاح API.",
"modelProvider.card.modelNotSupported": "نماذج {{modelName}} غير مثبتة.",
"modelProvider.card.modelSupported": "نماذج {{modelName}} تستخدم هذا الحصة.",
+ "modelProvider.card.noApiKeysDescription": "أضف مفتاح API لبدء استخدام بيانات اعتماد النموذج الخاصة بك.",
+ "modelProvider.card.noApiKeysFallback": "لا توجد مفاتيح API، يتم استخدام أرصدة الذكاء الاصطناعي بدلاً من ذلك",
+ "modelProvider.card.noApiKeysTitle": "لم يتم تكوين أي مفاتيح API بعد",
+ "modelProvider.card.noAvailableUsage": "لا يوجد استخدام متاح",
"modelProvider.card.onTrial": "في التجربة",
"modelProvider.card.paid": "مدفوع",
"modelProvider.card.priorityUse": "أولوية الاستخدام",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "إزالة مفتاح API",
"modelProvider.card.tip": "تدعم أرصدة الرسائل نماذج من {{modelNames}}. ستعطى الأولوية للحصة المدفوعة. سيتم استخدام الحصة المجانية بعد نفاد الحصة المدفوعة.",
"modelProvider.card.tokens": "رموز",
+ "modelProvider.card.unavailable": "غير متاح",
+ "modelProvider.card.upgradePlan": "ترقية خطتك",
+ "modelProvider.card.usageLabel": "الاستخدام",
+ "modelProvider.card.usagePriority": "أولوية الاستخدام",
+ "modelProvider.card.usagePriorityTip": "تعيين المورد الذي يجب استخدامه أولاً عند تشغيل النماذج.",
"modelProvider.collapse": "طي",
"modelProvider.config": "تكوين",
"modelProvider.configLoadBalancing": "تكوين موازنة التحميل",
@@ -387,9 +406,11 @@
"modelProvider.model": "النموذج",
"modelProvider.modelAndParameters": "النموذج والمعلمات",
"modelProvider.modelHasBeenDeprecated": "تم إهمال هذا النموذج",
+ "modelProvider.modelSettings": "إعدادات النموذج",
"modelProvider.models": "النماذج",
"modelProvider.modelsNum": "{{num}} نماذج",
"modelProvider.noModelFound": "لم يتم العثور على نموذج لـ {{model}}",
+ "modelProvider.noneConfigured": "قم بتكوين نموذج نظام افتراضي لتشغيل التطبيقات",
"modelProvider.notConfigured": "لم يتم تكوين نموذج النظام بالكامل بعد",
"modelProvider.parameters": "المعلمات",
"modelProvider.parametersInvalidRemoved": "بعض المعلمات غير صالحة وتمت إزالتها",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "إعادة التعيين في {{date}}",
"modelProvider.searchModel": "نموذج البحث",
"modelProvider.selectModel": "اختر نموذجك",
+ "modelProvider.selector.aiCredits": "أرصدة الذكاء الاصطناعي",
+ "modelProvider.selector.apiKeyUnavailable": "مفتاح API غير متاح",
+ "modelProvider.selector.apiKeyUnavailableTip": "تمت إزالة مفتاح API. يرجى تكوين مفتاح API جديد.",
+ "modelProvider.selector.configure": "تكوين",
+ "modelProvider.selector.configureRequired": "التكوين مطلوب",
+ "modelProvider.selector.creditsExhausted": "نفدت الأرصدة",
+ "modelProvider.selector.creditsExhaustedTip": "نفدت أرصدة الذكاء الاصطناعي الخاصة بك. يرجى ترقية خطتك أو إضافة مفتاح API.",
+ "modelProvider.selector.disabled": "معطل",
+ "modelProvider.selector.discoverMoreInMarketplace": "اكتشف المزيد في السوق",
"modelProvider.selector.emptySetting": "يرجى الانتقال إلى الإعدادات للتكوين",
"modelProvider.selector.emptyTip": "لا توجد نماذج متاحة",
+ "modelProvider.selector.fromMarketplace": "من السوق",
+ "modelProvider.selector.incompatible": "غير متوافق",
+ "modelProvider.selector.incompatibleTip": "هذا النموذج غير متاح في الإصدار الحالي. يرجى تحديد نموذج متاح آخر.",
+ "modelProvider.selector.install": "تثبيت",
+ "modelProvider.selector.modelProviderSettings": "إعدادات مزود النموذج",
+ "modelProvider.selector.noProviderConfigured": "لم يتم تكوين أي مزود نموذج",
+ "modelProvider.selector.noProviderConfiguredDesc": "تصفح السوق لتثبيت مزود، أو قم بتكوين المزودين في الإعدادات.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "يتم عرض النماذج المتوافقة فقط",
"modelProvider.selector.rerankTip": "يرجى إعداد نموذج إعادة الترتيب",
"modelProvider.selector.tip": "تمت إزالة هذا النموذج. يرجى إضافة نموذج أو تحديد نموذج آخر.",
"modelProvider.setupModelFirst": "يرجى إعداد نموذجك أولاً",
diff --git a/web/i18n/ar-TN/plugin.json b/web/i18n/ar-TN/plugin.json
index 39052f4295..c48a15fb24 100644
--- a/web/i18n/ar-TN/plugin.json
+++ b/web/i18n/ar-TN/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "إزالة الإضافة",
"action.deleteContentLeft": "هل ترغب في إزالة ",
"action.deleteContentRight": " الإضافة؟",
+ "action.deleteSuccess": "تم حذف الإضافة بنجاح",
"action.pluginInfo": "معلومات الإضافة",
"action.usedInApps": "يتم استخدام هذه الإضافة في {{num}} تطبيقات.",
"allCategories": "جميع الفئات",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "تثبيت",
"detailPanel.operation.remove": "إزالة",
"detailPanel.operation.update": "تحديث",
+ "detailPanel.operation.updateTooltip": "قم بالتحديث للوصول إلى أحدث النماذج.",
"detailPanel.operation.viewDetail": "عرض التفاصيل",
"detailPanel.serviceOk": "الخدمة جيدة",
"detailPanel.strategyNum": "{{num}} {{strategy}} متضمن",
@@ -231,12 +233,18 @@
"source.local": "ملف الحزمة المحلية",
"source.marketplace": "السوق",
"task.clearAll": "مسح الكل",
+ "task.errorMsg.github": "لم يتم تثبيت هذه الإضافة تلقائيًا.\nيرجى تثبيتها من GitHub.",
+ "task.errorMsg.marketplace": "لم يتم تثبيت هذه الإضافة تلقائيًا.\nيرجى تثبيتها من السوق.",
+ "task.errorMsg.unknown": "لم يتم تثبيت هذه الإضافة.\nتعذر التعرف على مصدر الإضافة.",
"task.errorPlugins": "فشل في تثبيت الإضافات",
"task.installError": "{{errorLength}} إضافات فشل تثبيتها، انقر للعرض",
+ "task.installFromGithub": "التثبيت من GitHub",
+ "task.installFromMarketplace": "التثبيت من السوق",
"task.installSuccess": "تم تثبيت {{successLength}} من الإضافات بنجاح",
"task.installed": "مثبت",
"task.installedError": "{{errorLength}} إضافات فشل تثبيتها",
"task.installing": "جارٍ تثبيت الإضافات.",
+ "task.installingHint": "جارٍ التثبيت... قد يستغرق هذا بضع دقائق.",
"task.installingWithError": "تثبيت {{installingLength}} إضافات، {{successLength}} نجاح، {{errorLength}} فشل",
"task.installingWithSuccess": "تثبيت {{installingLength}} إضافات، {{successLength}} نجاح.",
"task.runningPlugins": "تثبيت الإضافات",
diff --git a/web/i18n/ar-TN/workflow.json b/web/i18n/ar-TN/workflow.json
index 1bb5237ff7..2487538071 100644
--- a/web/i18n/ar-TN/workflow.json
+++ b/web/i18n/ar-TN/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "تحديث سير العمل",
"error.startNodeRequired": "الرجاء إضافة عقدة البداية أولاً قبل {{operation}}",
"errorMsg.authRequired": "الترخيص مطلوب",
+ "errorMsg.configureModel": "قم بتكوين نموذج",
"errorMsg.fieldRequired": "{{field}} مطلوب",
"errorMsg.fields.code": "الكود",
"errorMsg.fields.model": "النموذج",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "متغير الرؤية",
"errorMsg.invalidJson": "{{field}} هو JSON غير صالح",
"errorMsg.invalidVariable": "متغير غير صالح",
+ "errorMsg.modelPluginNotInstalled": "متغير غير صالح. قم بتكوين نموذج لتمكين هذا المتغير.",
"errorMsg.noValidTool": "{{field}} لا توجد أداة صالحة محددة",
"errorMsg.rerankModelRequired": "مطلوب تكوين نموذج Rerank",
"errorMsg.startNodeRequired": "الرجاء إضافة عقدة البداية أولاً قبل {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "حجم النافذة",
"nodes.common.outputVars": "متغيرات الإخراج",
"nodes.common.pluginNotInstalled": "الإضافة غير مثبتة",
+ "nodes.common.pluginsNotInstalled": "{{count}} إضافات غير مثبتة",
"nodes.common.retry.maxRetries": "الحد الأقصى لإعادة المحاولة",
"nodes.common.retry.ms": "مللي ثانية",
"nodes.common.retry.retries": "{{num}} إعادة محاولة",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "القطع",
"nodes.knowledgeBase.chunksInputTip": "متغير الإدخال لعقدة قاعدة المعرفة هو Pieces. نوع المتغير هو كائن بمخطط JSON محدد يجب أن يكون متسقًا مع هيكل القطعة المحدد.",
"nodes.knowledgeBase.chunksVariableIsRequired": "متغير القطع مطلوب",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "مفتاح API غير متاح",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "نفدت الأرصدة",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "غير متوافق",
"nodes.knowledgeBase.embeddingModelIsInvalid": "نموذج التضمين غير صالح",
"nodes.knowledgeBase.embeddingModelIsRequired": "نموذج التضمين مطلوب",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "نموذج التضمين غير مكوّن",
"nodes.knowledgeBase.indexMethodIsRequired": "طريقة الفهرسة مطلوبة",
+ "nodes.knowledgeBase.notConfigured": "غير مكوّن",
"nodes.knowledgeBase.rerankingModelIsInvalid": "نموذج إعادة الترتيب غير صالح",
"nodes.knowledgeBase.rerankingModelIsRequired": "نموذج إعادة الترتيب مطلوب",
"nodes.knowledgeBase.retrievalSettingIsRequired": "إعداد الاسترجاع مطلوب",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "يدعم Jinja2 فقط",
"nodes.templateTransform.inputVars": "متغيرات الإدخال",
"nodes.templateTransform.outputVars.output": "المحتوى المحول",
+ "nodes.tool.authorizationRequired": "التفويض مطلوب",
"nodes.tool.authorize": "تخويل",
"nodes.tool.inputVars": "متغيرات الإدخال",
"nodes.tool.insertPlaceholder1": "اكتب أو اضغط",
@@ -1062,10 +1071,12 @@
"panel.change": "تغيير",
"panel.changeBlock": "تغيير العقدة",
"panel.checklist": "قائمة المراجعة",
+ "panel.checklistDescription": "حل المشكلات التالية قبل النشر",
"panel.checklistResolved": "تم حل جميع المشكلات",
"panel.checklistTip": "تأكد من حل جميع المشكلات قبل النشر",
"panel.createdBy": "تم الإنشاء بواسطة ",
"panel.goTo": "الذهاب إلى",
+ "panel.goToFix": "الذهاب إلى الإصلاح",
"panel.helpLink": "عرض المستندات",
"panel.maximize": "تكبير القماش",
"panel.minimize": "خروج من وضع ملء الشاشة",
diff --git a/web/i18n/de-DE/app-debug.json b/web/i18n/de-DE/app-debug.json
index f75982bee9..0e067e20eb 100644
--- a/web/i18n/de-DE/app-debug.json
+++ b/web/i18n/de-DE/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "AUSFÜHREN",
"inputs.title": "Debug und Vorschau",
"inputs.userInputField": "Benutzereingabefeld",
+ "manageModels": "Modelle verwalten",
"modelConfig.modeType.chat": "Chat",
"modelConfig.modeType.completion": "Vollständig",
"modelConfig.model": "Modell",
"modelConfig.setTone": "Ton der Antworten festlegen",
"modelConfig.title": "Modell und Parameter",
+ "noModelProviderConfigured": "Kein Modellanbieter konfiguriert",
+ "noModelProviderConfiguredTip": "Installieren oder konfigurieren Sie einen Modellanbieter, um zu beginnen.",
+ "noModelSelected": "Kein Modell ausgewählt",
+ "noModelSelectedTip": "Konfigurieren Sie oben ein Modell, um fortzufahren.",
"noResult": "Hier wird die Ausgabe angezeigt.",
"notSetAPIKey.description": "Der LLM-Anbieterschlüssel wurde nicht festgelegt und muss vor dem Debuggen festgelegt werden.",
"notSetAPIKey.settingBtn": "Zu den Einstellungen gehen",
diff --git a/web/i18n/de-DE/common.json b/web/i18n/de-DE/common.json
index a7aaf55086..8639a24f3e 100644
--- a/web/i18n/de-DE/common.json
+++ b/web/i18n/de-DE/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Unbefugt",
"modelProvider.buyQuota": "Kontingent kaufen",
"modelProvider.callTimes": "Anrufzeiten",
+ "modelProvider.card.aiCreditsInUse": "AI Credits werden verwendet",
+ "modelProvider.card.aiCreditsOption": "AI Credits",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "API Key erforderlich",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key nicht verfügbar, AI Credits werden verwendet",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Überprüfen Sie Ihre API-Key-Konfiguration, um zurückzuwechseln",
"modelProvider.card.buyQuota": "Kontingent kaufen",
"modelProvider.card.callTimes": "Anrufzeiten",
+ "modelProvider.card.creditsExhaustedDescription": "Bitte upgraden Sie Ihren Plan oder konfigurieren Sie einen API Key",
+ "modelProvider.card.creditsExhaustedFallback": "AI Credits aufgebraucht, API Key wird verwendet",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Upgraden Sie Ihren Plan , um die AI-Credit-Priorität wiederherzustellen.",
+ "modelProvider.card.creditsExhaustedMessage": "AI Credits wurden aufgebraucht",
"modelProvider.card.modelAPI": "{{modelName}}-Modelle verwenden den API-Schlüssel.",
"modelProvider.card.modelNotSupported": "{{modelName}}-Modelle sind nicht installiert.",
"modelProvider.card.modelSupported": "{{modelName}}-Modelle verwenden dieses Kontingent.",
+ "modelProvider.card.noApiKeysDescription": "Fügen Sie einen API Key hinzu, um Ihre eigenen Modell-Zugangsdaten zu verwenden.",
+ "modelProvider.card.noApiKeysFallback": "Keine API Keys, AI Credits werden verwendet",
+ "modelProvider.card.noApiKeysTitle": "Noch keine API Keys konfiguriert",
+ "modelProvider.card.noAvailableUsage": "Kein verfügbares Guthaben",
"modelProvider.card.onTrial": "In Probe",
"modelProvider.card.paid": "Bezahlt",
"modelProvider.card.priorityUse": "Priorisierte Nutzung",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "API-Schlüssel entfernen",
"modelProvider.card.tip": "Nachrichtenguthaben unterstützen Modelle von {{modelNames}}. Der bezahlten Kontingent wird Vorrang gegeben. Das kostenlose Kontingent wird nach dem Verbrauch des bezahlten Kontingents verwendet.",
"modelProvider.card.tokens": "Token",
+ "modelProvider.card.unavailable": "Nicht verfügbar",
+ "modelProvider.card.upgradePlan": "Plan upgraden",
+ "modelProvider.card.usageLabel": "Verbrauch",
+ "modelProvider.card.usagePriority": "Nutzungspriorität",
+ "modelProvider.card.usagePriorityTip": "Legen Sie fest, welche Ressource beim Ausführen von Modellen zuerst verwendet wird.",
"modelProvider.collapse": "Einklappen",
"modelProvider.config": "Konfigurieren",
"modelProvider.configLoadBalancing": "Lastenausgleich für die Konfiguration",
@@ -387,9 +406,11 @@
"modelProvider.model": "Modell",
"modelProvider.modelAndParameters": "Modell und Parameter",
"modelProvider.modelHasBeenDeprecated": "Dieses Modell ist veraltet",
+ "modelProvider.modelSettings": "Modelleinstellungen",
"modelProvider.models": "Modelle",
"modelProvider.modelsNum": "{{num}} Modelle",
"modelProvider.noModelFound": "Kein Modell für {{model}} gefunden",
+ "modelProvider.noneConfigured": "Konfigurieren Sie ein Standard-Systemmodell, um Anwendungen auszuführen",
"modelProvider.notConfigured": "Das Systemmodell wurde noch nicht vollständig konfiguriert, und einige Funktionen sind möglicherweise nicht verfügbar.",
"modelProvider.parameters": "PARAMETER",
"modelProvider.parametersInvalidRemoved": "Einige Parameter sind ungültig und wurden entfernt.",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Zurücksetzen am {{date}}",
"modelProvider.searchModel": "Suchmodell",
"modelProvider.selectModel": "Wählen Sie Ihr Modell",
+ "modelProvider.selector.aiCredits": "AI Credits",
+ "modelProvider.selector.apiKeyUnavailable": "API Key nicht verfügbar",
+ "modelProvider.selector.apiKeyUnavailableTip": "Der API Key wurde entfernt. Bitte konfigurieren Sie einen neuen API Key.",
+ "modelProvider.selector.configure": "Konfigurieren",
+ "modelProvider.selector.configureRequired": "Konfiguration erforderlich",
+ "modelProvider.selector.creditsExhausted": "Guthaben aufgebraucht",
+ "modelProvider.selector.creditsExhaustedTip": "Ihre AI Credits wurden aufgebraucht. Bitte upgraden Sie Ihren Plan oder fügen Sie einen API Key hinzu.",
+ "modelProvider.selector.disabled": "Deaktiviert",
+ "modelProvider.selector.discoverMoreInMarketplace": "Mehr im Marketplace entdecken",
"modelProvider.selector.emptySetting": "Bitte gehen Sie zu den Einstellungen, um zu konfigurieren",
"modelProvider.selector.emptyTip": "Keine verfügbaren Modelle",
+ "modelProvider.selector.fromMarketplace": "Vom Marketplace",
+ "modelProvider.selector.incompatible": "Inkompatibel",
+ "modelProvider.selector.incompatibleTip": "Dieses Modell ist in der aktuellen Version nicht verfügbar. Bitte wählen Sie ein anderes verfügbares Modell.",
+ "modelProvider.selector.install": "Installieren",
+ "modelProvider.selector.modelProviderSettings": "Modellanbieter-Einstellungen",
+ "modelProvider.selector.noProviderConfigured": "Kein Modellanbieter konfiguriert",
+ "modelProvider.selector.noProviderConfiguredDesc": "Durchsuchen Sie den Marketplace, um einen zu installieren, oder konfigurieren Sie Anbieter in den Einstellungen.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Es werden nur kompatible Modelle angezeigt",
"modelProvider.selector.rerankTip": "Bitte richten Sie das Rerank-Modell ein",
"modelProvider.selector.tip": "Dieses Modell wurde entfernt. Bitte fügen Sie ein Modell hinzu oder wählen Sie ein anderes Modell.",
"modelProvider.setupModelFirst": "Bitte richten Sie zuerst Ihr Modell ein",
diff --git a/web/i18n/de-DE/plugin.json b/web/i18n/de-DE/plugin.json
index c0158be29b..e805f3fabd 100644
--- a/web/i18n/de-DE/plugin.json
+++ b/web/i18n/de-DE/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Plugin entfernen",
"action.deleteContentLeft": "Möchten Sie",
"action.deleteContentRight": "Plugin?",
+ "action.deleteSuccess": "Plugin erfolgreich entfernt",
"action.pluginInfo": "Plugin-Info",
"action.usedInApps": "Dieses Plugin wird in {{num}} Apps verwendet.",
"allCategories": "Alle Kategorien",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Installieren",
"detailPanel.operation.remove": "Entfernen",
"detailPanel.operation.update": "Aktualisieren",
+ "detailPanel.operation.updateTooltip": "Aktualisieren Sie, um auf die neuesten Modelle zuzugreifen.",
"detailPanel.operation.viewDetail": "Im Detail sehen",
"detailPanel.serviceOk": "Service in Ordnung",
"detailPanel.strategyNum": "{{num}} {{strategy}} IINKLUSIVE",
@@ -231,12 +233,18 @@
"source.local": "Lokale Paketdatei",
"source.marketplace": "Marktplatz",
"task.clearAll": "Alle löschen",
+ "task.errorMsg.github": "Dieses Plugin konnte nicht automatisch installiert werden.\nBitte installieren Sie es von GitHub.",
+ "task.errorMsg.marketplace": "Dieses Plugin konnte nicht automatisch installiert werden.\nBitte installieren Sie es vom Marketplace.",
+ "task.errorMsg.unknown": "Dieses Plugin konnte nicht installiert werden.\nDie Plugin-Quelle konnte nicht identifiziert werden.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} Plugins konnten nicht installiert werden, klicken Sie hier, um sie anzusehen",
+ "task.installFromGithub": "Von GitHub installieren",
+ "task.installFromMarketplace": "Vom Marketplace installieren",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} Plugins konnten nicht installiert werden",
"task.installing": "Plugins werden installiert.",
+ "task.installingHint": "Installation läuft... Dies kann einige Minuten dauern.",
"task.installingWithError": "Installation von {{installingLength}} Plugins, {{successLength}} erfolgreich, {{errorLength}} fehlgeschlagen",
"task.installingWithSuccess": "Installation von {{installingLength}} Plugins, {{successLength}} erfolgreich.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/de-DE/workflow.json b/web/i18n/de-DE/workflow.json
index 48037ce006..362eac19b6 100644
--- a/web/i18n/de-DE/workflow.json
+++ b/web/i18n/de-DE/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "Arbeitsablauf aktualisieren",
"error.startNodeRequired": "Bitte füge zuerst einen Startknoten hinzu, bevor du {{operation}}.",
"errorMsg.authRequired": "Autorisierung ist erforderlich",
+ "errorMsg.configureModel": "Modell konfigurieren",
"errorMsg.fieldRequired": "{{field}} ist erforderlich",
"errorMsg.fields.code": "Code",
"errorMsg.fields.model": "Modell",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Vision variabel",
"errorMsg.invalidJson": "{{field}} ist ein ungültiges JSON",
"errorMsg.invalidVariable": "Ungültige Variable",
+ "errorMsg.modelPluginNotInstalled": "Ungültige Variable. Konfigurieren Sie ein Modell, um diese Variable zu aktivieren.",
"errorMsg.noValidTool": "{{field}} kein gültiges Werkzeug ausgewählt",
"errorMsg.rerankModelRequired": "Bevor Sie das Rerank-Modell aktivieren, bestätigen Sie bitte, dass das Modell in den Einstellungen erfolgreich konfiguriert wurde.",
"errorMsg.startNodeRequired": "Bitte füge zuerst einen Startknoten hinzu, bevor du {{operation}}.",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Fenstergröße",
"nodes.common.outputVars": "Ausgabevariablen",
"nodes.common.pluginNotInstalled": "Plugin ist nicht installiert",
+ "nodes.common.pluginsNotInstalled": "{{count}} Plugins nicht installiert",
"nodes.common.retry.maxRetries": "Max. Wiederholungen",
"nodes.common.retry.ms": "Frau",
"nodes.common.retry.retries": "{{num}} Wiederholungen",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Stücke",
"nodes.knowledgeBase.chunksInputTip": "Die Eingangsvariable des Wissensbasis-Knotens sind Chunks. Der Variablentyp ist ein Objekt mit einem spezifischen JSON-Schema, das konsistent mit der ausgewählten Chunk-Struktur sein muss.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Die Variable 'Chunks' ist erforderlich",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API Key nicht verfügbar",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Guthaben aufgebraucht",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Inkompatibel",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Einbettungsmodell ist ungültig",
"nodes.knowledgeBase.embeddingModelIsRequired": "Ein Einbettungsmodell ist erforderlich",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Embedding-Modell nicht konfiguriert",
"nodes.knowledgeBase.indexMethodIsRequired": "Index-Methode ist erforderlich",
+ "nodes.knowledgeBase.notConfigured": "Nicht konfiguriert",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Das Reranking-Modell ist ungültig",
"nodes.knowledgeBase.rerankingModelIsRequired": "Ein Reranking-Modell ist erforderlich",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Abrufeinstellung ist erforderlich",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Unterstützt nur Jinja2",
"nodes.templateTransform.inputVars": "Eingabevariablen",
"nodes.templateTransform.outputVars.output": "Transformierter Inhalt",
+ "nodes.tool.authorizationRequired": "Autorisierung erforderlich",
"nodes.tool.authorize": "Autorisieren",
"nodes.tool.inputVars": "Eingabevariablen",
"nodes.tool.insertPlaceholder1": "Tippen oder drücken",
@@ -1062,10 +1071,12 @@
"panel.change": "Ändern",
"panel.changeBlock": "Knoten ändern",
"panel.checklist": "Checkliste",
+ "panel.checklistDescription": "Beheben Sie die folgenden Probleme vor der Veröffentlichung",
"panel.checklistResolved": "Alle Probleme wurden gelöst",
"panel.checklistTip": "Stellen Sie sicher, dass alle Probleme vor der Veröffentlichung gelöst sind",
"panel.createdBy": "Erstellt von ",
"panel.goTo": "Gehe zu",
+ "panel.goToFix": "Zur Behebung",
"panel.helpLink": "Hilfe",
"panel.maximize": "Maximiere die Leinwand",
"panel.minimize": "Vollbildmodus beenden",
diff --git a/web/i18n/es-ES/app-debug.json b/web/i18n/es-ES/app-debug.json
index 8245f2b325..cfb8a0643e 100644
--- a/web/i18n/es-ES/app-debug.json
+++ b/web/i18n/es-ES/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "EJECUTAR",
"inputs.title": "Depurar y Previsualizar",
"inputs.userInputField": "Campo de Entrada del Usuario",
+ "manageModels": "Gestionar modelos",
"modelConfig.modeType.chat": "Chat",
"modelConfig.modeType.completion": "Completar",
"modelConfig.model": "Modelo",
"modelConfig.setTone": "Establecer tono de respuestas",
"modelConfig.title": "Modelo y Parámetros",
+ "noModelProviderConfigured": "Ningún proveedor de modelos configurado",
+ "noModelProviderConfiguredTip": "Instala o configura un proveedor de modelos para comenzar.",
+ "noModelSelected": "Ningún modelo seleccionado",
+ "noModelSelectedTip": "Configura un modelo arriba para continuar.",
"noResult": "La salida se mostrará aquí.",
"notSetAPIKey.description": "La clave del proveedor LLM no se ha establecido, y debe configurarse antes de depurar.",
"notSetAPIKey.settingBtn": "Ir a configuración",
diff --git a/web/i18n/es-ES/common.json b/web/i18n/es-ES/common.json
index 595124496b..1b97ce680d 100644
--- a/web/i18n/es-ES/common.json
+++ b/web/i18n/es-ES/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "No autorizado",
"modelProvider.buyQuota": "Comprar Cuota",
"modelProvider.callTimes": "Tiempos de llamada",
+ "modelProvider.card.aiCreditsInUse": "AI credits en uso",
+ "modelProvider.card.aiCreditsOption": "AI credits",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "Se requiere API Key",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key no disponible, usando AI credits",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Comprueba la configuración de tu API Key para volver a usarla",
"modelProvider.card.buyQuota": "Comprar Cuota",
"modelProvider.card.callTimes": "Tiempos de llamada",
+ "modelProvider.card.creditsExhaustedDescription": "Por favor, mejora tu plan o configura una API Key",
+ "modelProvider.card.creditsExhaustedFallback": "AI credits agotados, usando API Key",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Mejora tu plan para restablecer la prioridad de AI credits.",
+ "modelProvider.card.creditsExhaustedMessage": "Los AI credits se han agotado",
"modelProvider.card.modelAPI": "Los modelos {{modelName}} están usando la clave API.",
"modelProvider.card.modelNotSupported": "Los modelos {{modelName}} no están instalados.",
"modelProvider.card.modelSupported": "Los modelos {{modelName}} están usando esta cuota.",
+ "modelProvider.card.noApiKeysDescription": "Añade una API Key para usar tus propias credenciales de modelo.",
+ "modelProvider.card.noApiKeysFallback": "Sin API Keys, usando AI credits",
+ "modelProvider.card.noApiKeysTitle": "No hay API Keys configuradas",
+ "modelProvider.card.noAvailableUsage": "Sin uso disponible",
"modelProvider.card.onTrial": "En prueba",
"modelProvider.card.paid": "Pagado",
"modelProvider.card.priorityUse": "Uso prioritario",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Eliminar CLAVE API",
"modelProvider.card.tip": "Créditos de mensajes admite modelos de {{modelNames}}. Se dará prioridad a la cuota pagada. La cuota gratuita se utilizará después de que se agote la cuota pagada.",
"modelProvider.card.tokens": "Tokens",
+ "modelProvider.card.unavailable": "No disponible",
+ "modelProvider.card.upgradePlan": "mejora tu plan",
+ "modelProvider.card.usageLabel": "Uso",
+ "modelProvider.card.usagePriority": "Prioridad de uso",
+ "modelProvider.card.usagePriorityTip": "Establece qué recurso usar primero al ejecutar modelos.",
"modelProvider.collapse": "Colapsar",
"modelProvider.config": "Configurar",
"modelProvider.configLoadBalancing": "Configurar Balanceo de Carga",
@@ -387,9 +406,11 @@
"modelProvider.model": "Modelo",
"modelProvider.modelAndParameters": "Modelo y Parámetros",
"modelProvider.modelHasBeenDeprecated": "Este modelo ha sido desaprobado",
+ "modelProvider.modelSettings": "Configuración de modelos",
"modelProvider.models": "Modelos",
"modelProvider.modelsNum": "{{num}} Modelos",
"modelProvider.noModelFound": "No se encontró modelo para {{model}}",
+ "modelProvider.noneConfigured": "Configura un modelo de sistema predeterminado para ejecutar aplicaciones",
"modelProvider.notConfigured": "El modelo del sistema aún no ha sido completamente configurado, y algunas funciones pueden no estar disponibles.",
"modelProvider.parameters": "PARÁMETROS",
"modelProvider.parametersInvalidRemoved": "Algunos parámetros son inválidos y han sido eliminados",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Restablecer el {{date}}",
"modelProvider.searchModel": "Modelo de búsqueda",
"modelProvider.selectModel": "Selecciona tu modelo",
+ "modelProvider.selector.aiCredits": "AI credits",
+ "modelProvider.selector.apiKeyUnavailable": "API Key no disponible",
+ "modelProvider.selector.apiKeyUnavailableTip": "La API Key ha sido eliminada. Por favor, configura una nueva API Key.",
+ "modelProvider.selector.configure": "Configurar",
+ "modelProvider.selector.configureRequired": "Configuración requerida",
+ "modelProvider.selector.creditsExhausted": "Créditos agotados",
+ "modelProvider.selector.creditsExhaustedTip": "Tus AI credits se han agotado. Por favor, mejora tu plan o añade una API Key.",
+ "modelProvider.selector.disabled": "Desactivado",
+ "modelProvider.selector.discoverMoreInMarketplace": "Descubre más en el Marketplace",
"modelProvider.selector.emptySetting": "Por favor ve a configuraciones para configurar",
"modelProvider.selector.emptyTip": "No hay modelos disponibles",
+ "modelProvider.selector.fromMarketplace": "Desde el Marketplace",
+ "modelProvider.selector.incompatible": "Incompatible",
+ "modelProvider.selector.incompatibleTip": "Este modelo no está disponible en la versión actual. Por favor, selecciona otro modelo disponible.",
+ "modelProvider.selector.install": "Instalar",
+ "modelProvider.selector.modelProviderSettings": "Configuración del proveedor de modelos",
+ "modelProvider.selector.noProviderConfigured": "Ningún proveedor de modelos configurado",
+ "modelProvider.selector.noProviderConfiguredDesc": "Explora el Marketplace para instalar uno, o configura proveedores en los ajustes.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Solo se muestran los modelos compatibles",
"modelProvider.selector.rerankTip": "Por favor configura el modelo de Reordenar",
"modelProvider.selector.tip": "Este modelo ha sido eliminado. Por favor agrega un modelo o selecciona otro modelo.",
"modelProvider.setupModelFirst": "Por favor configura tu modelo primero",
diff --git a/web/i18n/es-ES/plugin.json b/web/i18n/es-ES/plugin.json
index 297b86606d..c7d5855f24 100644
--- a/web/i18n/es-ES/plugin.json
+++ b/web/i18n/es-ES/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Eliminar plugin",
"action.deleteContentLeft": "¿Le gustaría eliminar",
"action.deleteContentRight": "¿Complemento?",
+ "action.deleteSuccess": "Plugin eliminado correctamente",
"action.pluginInfo": "Información del plugin",
"action.usedInApps": "Este plugin se está utilizando en las aplicaciones {{num}}.",
"allCategories": "Todas las categorías",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Instalar",
"detailPanel.operation.remove": "Eliminar",
"detailPanel.operation.update": "Actualizar",
+ "detailPanel.operation.updateTooltip": "Actualiza para acceder a los modelos más recientes.",
"detailPanel.operation.viewDetail": "Ver Detalle",
"detailPanel.serviceOk": "Servicio OK",
"detailPanel.strategyNum": "{{num}} {{strategy}} INCLUIDO",
@@ -231,12 +233,18 @@
"source.local": "Archivo de paquete local",
"source.marketplace": "Mercado",
"task.clearAll": "Borrar todo",
+ "task.errorMsg.github": "Este plugin no se pudo instalar automáticamente.\nPor favor, instálalo desde GitHub.",
+ "task.errorMsg.marketplace": "Este plugin no se pudo instalar automáticamente.\nPor favor, instálalo desde el Marketplace.",
+ "task.errorMsg.unknown": "Este plugin no se pudo instalar.\nNo se pudo identificar el origen del plugin.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "Los complementos {{errorLength}} no se pudieron instalar, haga clic para ver",
+ "task.installFromGithub": "Instalar desde GitHub",
+ "task.installFromMarketplace": "Instalar desde el Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "Los complementos {{errorLength}} no se pudieron instalar",
"task.installing": "Instalando plugins.",
+ "task.installingHint": "Instalando... Esto puede tardar unos minutos.",
"task.installingWithError": "Instalando plugins {{installingLength}}, {{successLength}} éxito, {{errorLength}} fallido",
"task.installingWithSuccess": "Instalando plugins {{installingLength}}, {{successLength}} éxito.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/es-ES/workflow.json b/web/i18n/es-ES/workflow.json
index d91cbd7cb2..393859a36f 100644
--- a/web/i18n/es-ES/workflow.json
+++ b/web/i18n/es-ES/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "actualizando flujo de trabajo",
"error.startNodeRequired": "Por favor, agregue primero un nodo de inicio antes de {{operation}}",
"errorMsg.authRequired": "Se requiere autorización",
+ "errorMsg.configureModel": "Configura un modelo",
"errorMsg.fieldRequired": "Se requiere {{field}}",
"errorMsg.fields.code": "Código",
"errorMsg.fields.model": "Modelo",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Variable de visión",
"errorMsg.invalidJson": "{{field}} no es un JSON válido",
"errorMsg.invalidVariable": "Variable no válida",
+ "errorMsg.modelPluginNotInstalled": "Variable no válida. Configura un modelo para habilitar esta variable.",
"errorMsg.noValidTool": "{{field}} no se ha seleccionado ninguna herramienta válida",
"errorMsg.rerankModelRequired": "Antes de activar el modelo de reclasificación, confirme que el modelo se ha configurado correctamente en la configuración.",
"errorMsg.startNodeRequired": "Por favor, agregue primero un nodo de inicio antes de {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Tamaño de ventana",
"nodes.common.outputVars": "Variables de salida",
"nodes.common.pluginNotInstalled": "El complemento no está instalado",
+ "nodes.common.pluginsNotInstalled": "{{count}} plugins no instalados",
"nodes.common.retry.maxRetries": "Número máximo de reintentos",
"nodes.common.retry.ms": "Sra.",
"nodes.common.retry.retries": "{{num}} Reintentos",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Trozo",
"nodes.knowledgeBase.chunksInputTip": "La variable de entrada del nodo de la base de conocimientos es Chunks. El tipo de variable es un objeto con un esquema JSON específico que debe ser consistente con la estructura del fragmento seleccionado.",
"nodes.knowledgeBase.chunksVariableIsRequired": "La variable Chunks es obligatoria",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API Key no disponible",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Créditos agotados",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Incompatible",
"nodes.knowledgeBase.embeddingModelIsInvalid": "El modelo de incrustación no es válido",
"nodes.knowledgeBase.embeddingModelIsRequired": "Se requiere un modelo de incrustación",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Modelo de embedding no configurado",
"nodes.knowledgeBase.indexMethodIsRequired": "Se requiere el método de índice",
+ "nodes.knowledgeBase.notConfigured": "No configurado",
"nodes.knowledgeBase.rerankingModelIsInvalid": "El modelo de reordenación no es válido",
"nodes.knowledgeBase.rerankingModelIsRequired": "Se requiere un modelo de reordenamiento",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Se requiere configuración de recuperación",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Solo admite Jinja2",
"nodes.templateTransform.inputVars": "Variables de entrada",
"nodes.templateTransform.outputVars.output": "Contenido transformado",
+ "nodes.tool.authorizationRequired": "Autorización requerida",
"nodes.tool.authorize": "autorizar",
"nodes.tool.inputVars": "Variables de entrada",
"nodes.tool.insertPlaceholder1": "Escribe o presiona",
@@ -1062,10 +1071,12 @@
"panel.change": "Cambiar",
"panel.changeBlock": "Cambiar Nodo",
"panel.checklist": "Lista de verificación",
+ "panel.checklistDescription": "Resuelve los siguientes problemas antes de publicar",
"panel.checklistResolved": "Se resolvieron todos los problemas",
"panel.checklistTip": "Asegúrate de resolver todos los problemas antes de publicar",
"panel.createdBy": "Creado por ",
"panel.goTo": "Ir a",
+ "panel.goToFix": "Ir a corregir",
"panel.helpLink": "Ayuda",
"panel.maximize": "Maximizar Canvas",
"panel.minimize": "Salir de pantalla completa",
diff --git a/web/i18n/fa-IR/app-debug.json b/web/i18n/fa-IR/app-debug.json
index 5427ebb72a..a612105f35 100644
--- a/web/i18n/fa-IR/app-debug.json
+++ b/web/i18n/fa-IR/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "اجرا",
"inputs.title": "اشکال زدایی و پیش نمایش",
"inputs.userInputField": "فیلد ورودی کاربر",
+ "manageModels": "مدیریت مدلها",
"modelConfig.modeType.chat": "چت",
"modelConfig.modeType.completion": "کامل",
"modelConfig.model": "مدل",
"modelConfig.setTone": "لحن پاسخ ها را تنظیم کنید",
"modelConfig.title": "مدل و پارامترها",
+ "noModelProviderConfigured": "هیچ ارائهدهنده مدلی پیکربندی نشده است",
+ "noModelProviderConfiguredTip": "برای شروع، یک ارائهدهنده مدل نصب یا پیکربندی کنید.",
+ "noModelSelected": "هیچ مدلی انتخاب نشده است",
+ "noModelSelectedTip": "برای ادامه، یک مدل را در بالا پیکربندی کنید.",
"noResult": "خروجی در اینجا نمایش داده می شود.",
"notSetAPIKey.description": "کلید ارائهدهنده LLM تنظیم نشده است و باید قبل از دیباگ تنظیم شود.",
"notSetAPIKey.settingBtn": "به تنظیمات بروید",
diff --git a/web/i18n/fa-IR/common.json b/web/i18n/fa-IR/common.json
index ec535138a4..d2b1e8158c 100644
--- a/web/i18n/fa-IR/common.json
+++ b/web/i18n/fa-IR/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "بدون مجوز",
"modelProvider.buyQuota": "خرید سهمیه",
"modelProvider.callTimes": "تعداد فراخوانی",
+ "modelProvider.card.aiCreditsInUse": "اعتبار هوش مصنوعی در حال استفاده",
+ "modelProvider.card.aiCreditsOption": "اعتبار هوش مصنوعی",
+ "modelProvider.card.apiKeyOption": "کلید API",
+ "modelProvider.card.apiKeyRequired": "کلید API الزامی است",
+ "modelProvider.card.apiKeyUnavailableFallback": "کلید API در دسترس نیست، در حال استفاده از اعتبار هوش مصنوعی",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "پیکربندی کلید API خود را بررسی کنید تا بازگردید",
"modelProvider.card.buyQuota": "خرید سهمیه",
"modelProvider.card.callTimes": "تعداد فراخوانی",
+ "modelProvider.card.creditsExhaustedDescription": "لطفاً طرح خود را ارتقا دهید یا یک کلید API پیکربندی کنید",
+ "modelProvider.card.creditsExhaustedFallback": "اعتبار هوش مصنوعی تمام شده، در حال استفاده از کلید API",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "طرح خود را ارتقا دهید تا اولویت اعتبار هوش مصنوعی از سر گرفته شود.",
+ "modelProvider.card.creditsExhaustedMessage": "اعتبار هوش مصنوعی تمام شده است",
"modelProvider.card.modelAPI": "مدلهای {{modelName}} از کلید API استفاده میکنند.",
"modelProvider.card.modelNotSupported": "مدلهای {{modelName}} نصب نشدهاند.",
"modelProvider.card.modelSupported": "مدلهای {{modelName}} از این سهمیه استفاده میکنند.",
+ "modelProvider.card.noApiKeysDescription": "یک کلید API اضافه کنید تا از اعتبارنامههای مدل خود استفاده کنید.",
+ "modelProvider.card.noApiKeysFallback": "بدون کلید API، در حال استفاده از اعتبار هوش مصنوعی",
+ "modelProvider.card.noApiKeysTitle": "هنوز کلید API پیکربندی نشده است",
+ "modelProvider.card.noAvailableUsage": "هیچ مصرفی در دسترس نیست",
"modelProvider.card.onTrial": "در حال آزمایش",
"modelProvider.card.paid": "پرداخت شده",
"modelProvider.card.priorityUse": "استفاده با اولویت",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "حذف کلید API",
"modelProvider.card.tip": "اعتبار پیام از مدلهای {{modelNames}} پشتیبانی میکند. اولویت به سهمیه پرداخت شده داده میشود. سهمیه رایگان پس از اتمام سهمیه پرداخت شده استفاده خواهد شد.",
"modelProvider.card.tokens": "توکنها",
+ "modelProvider.card.unavailable": "در دسترس نیست",
+ "modelProvider.card.upgradePlan": "طرح خود را ارتقا دهید",
+ "modelProvider.card.usageLabel": "مصرف",
+ "modelProvider.card.usagePriority": "اولویت مصرف",
+ "modelProvider.card.usagePriorityTip": "تعیین کنید که هنگام اجرای مدلها کدام منبع اول استفاده شود.",
"modelProvider.collapse": "جمع کردن",
"modelProvider.config": "پیکربندی",
"modelProvider.configLoadBalancing": "پیکربندی تعادل بار",
@@ -387,9 +406,11 @@
"modelProvider.model": "مدل",
"modelProvider.modelAndParameters": "مدل و پارامترها",
"modelProvider.modelHasBeenDeprecated": "این مدل منسوخ شده است",
+ "modelProvider.modelSettings": "تنظیمات مدل",
"modelProvider.models": "مدلها",
"modelProvider.modelsNum": "{{num}} مدل",
"modelProvider.noModelFound": "هیچ مدلی برای {{model}} یافت نشد",
+ "modelProvider.noneConfigured": "یک مدل سیستم پیشفرض برای اجرای برنامهها پیکربندی کنید",
"modelProvider.notConfigured": "مدل سیستم هنوز به طور کامل پیکربندی نشده است و برخی از عملکردها ممکن است در دسترس نباشند.",
"modelProvider.parameters": "پارامترها",
"modelProvider.parametersInvalidRemoved": "برخی پارامترها نامعتبر هستند و حذف شدهاند",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "بازنشانی در {{date}}",
"modelProvider.searchModel": "جستجوی مدل",
"modelProvider.selectModel": "مدل خود را انتخاب کنید",
+ "modelProvider.selector.aiCredits": "اعتبار هوش مصنوعی",
+ "modelProvider.selector.apiKeyUnavailable": "کلید API در دسترس نیست",
+ "modelProvider.selector.apiKeyUnavailableTip": "کلید API حذف شده است. لطفاً یک کلید API جدید پیکربندی کنید.",
+ "modelProvider.selector.configure": "پیکربندی",
+ "modelProvider.selector.configureRequired": "پیکربندی الزامی است",
+ "modelProvider.selector.creditsExhausted": "اعتبار تمام شده",
+ "modelProvider.selector.creditsExhaustedTip": "اعتبار هوش مصنوعی شما تمام شده است. لطفاً طرح خود را ارتقا دهید یا یک کلید API اضافه کنید.",
+ "modelProvider.selector.disabled": "غیرفعال",
+ "modelProvider.selector.discoverMoreInMarketplace": "اطلاعات بیشتر در Marketplace",
"modelProvider.selector.emptySetting": "لطفاً به تنظیمات بروید تا پیکربندی کنید",
"modelProvider.selector.emptyTip": "هیچ مدل موجودی وجود ندارد",
+ "modelProvider.selector.fromMarketplace": "از Marketplace",
+ "modelProvider.selector.incompatible": "ناسازگار",
+ "modelProvider.selector.incompatibleTip": "این مدل در نسخه فعلی موجود نیست. لطفاً مدل دیگری انتخاب کنید.",
+ "modelProvider.selector.install": "نصب",
+ "modelProvider.selector.modelProviderSettings": "تنظیمات ارائهدهنده مدل",
+ "modelProvider.selector.noProviderConfigured": "هیچ ارائهدهنده مدلی پیکربندی نشده است",
+ "modelProvider.selector.noProviderConfiguredDesc": "در Marketplace جستجو کنید تا یکی نصب کنید، یا ارائهدهندگان را در تنظیمات پیکربندی کنید.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "فقط مدلهای سازگار نمایش داده میشوند",
"modelProvider.selector.rerankTip": "لطفاً مدل رتبهبندی مجدد را تنظیم کنید",
"modelProvider.selector.tip": "این مدل حذف شده است. لطفاً یک مدل اضافه کنید یا مدل دیگری را انتخاب کنید.",
"modelProvider.setupModelFirst": "لطفاً ابتدا مدل خود را تنظیم کنید",
diff --git a/web/i18n/fa-IR/plugin.json b/web/i18n/fa-IR/plugin.json
index a1bbc8ee63..bee2111b44 100644
--- a/web/i18n/fa-IR/plugin.json
+++ b/web/i18n/fa-IR/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "حذف افزونه",
"action.deleteContentLeft": "آیا می خواهید",
"action.deleteContentRight": "افزونه?",
+ "action.deleteSuccess": "افزونه با موفقیت حذف شد",
"action.pluginInfo": "اطلاعات پلاگین",
"action.usedInApps": "این افزونه در برنامه های {{num}} استفاده می شود.",
"allCategories": "همه دسته بندی ها",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "نصب",
"detailPanel.operation.remove": "حذف",
"detailPanel.operation.update": "روز رسانی",
+ "detailPanel.operation.updateTooltip": "بهروزرسانی کنید تا به جدیدترین مدلها دسترسی پیدا کنید.",
"detailPanel.operation.viewDetail": "نمایش جزئیات",
"detailPanel.serviceOk": "خدمات خوب",
"detailPanel.strategyNum": "{{num}} {{strategy}} شامل",
@@ -231,12 +233,18 @@
"source.local": "فایل بسته محلی",
"source.marketplace": "بازار",
"task.clearAll": "پاک کردن همه",
+ "task.errorMsg.github": "این افزونه بهصورت خودکار نصب نشد.\nلطفاً آن را از GitHub نصب کنید.",
+ "task.errorMsg.marketplace": "این افزونه بهصورت خودکار نصب نشد.\nلطفاً آن را از Marketplace نصب کنید.",
+ "task.errorMsg.unknown": "این افزونه نصب نشد.\nمنبع افزونه قابل شناسایی نبود.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "پلاگین های {{errorLength}} نصب نشدند، برای مشاهده کلیک کنید",
+ "task.installFromGithub": "نصب از GitHub",
+ "task.installFromMarketplace": "نصب از Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "افزونه های {{errorLength}} نصب نشدند",
"task.installing": "در حال نصب پلاگینها.",
+ "task.installingHint": "در حال نصب... این ممکن است چند دقیقه طول بکشد.",
"task.installingWithError": "نصب پلاگین های {{installingLength}}، {{successLength}} با موفقیت مواجه شد، {{errorLength}} ناموفق بود",
"task.installingWithSuccess": "نصب پلاگین های {{installingLength}}، {{successLength}} موفقیت آمیز است.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/fa-IR/workflow.json b/web/i18n/fa-IR/workflow.json
index 676179e6d4..7a8fca11f1 100644
--- a/web/i18n/fa-IR/workflow.json
+++ b/web/i18n/fa-IR/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "بهروزرسانی گردش کار",
"error.startNodeRequired": "لطفاً قبل از {{operation}} ابتدا یک گره شروع اضافه کنید",
"errorMsg.authRequired": "احراز هویت الزامی است",
+ "errorMsg.configureModel": "یک مدل پیکربندی کنید",
"errorMsg.fieldRequired": "{{field}} الزامی است",
"errorMsg.fields.code": "کد",
"errorMsg.fields.model": "مدل",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "متغیر بینایی",
"errorMsg.invalidJson": "{{field}} یک JSON معتبر نیست",
"errorMsg.invalidVariable": "متغیر نامعتبر",
+ "errorMsg.modelPluginNotInstalled": "متغیر نامعتبر. برای فعالسازی این متغیر، یک مدل پیکربندی کنید.",
"errorMsg.noValidTool": "{{field}} هیچ ابزار معتبری انتخاب نشده است",
"errorMsg.rerankModelRequired": "قبل از فعالسازی Rerank Model، لطفاً مطمئن شوید که مدل در تنظیمات با موفقیت پیکربندی شده است.",
"errorMsg.startNodeRequired": "لطفاً قبل از {{operation}} ابتدا یک گره شروع اضافه کنید",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "اندازه پنجره",
"nodes.common.outputVars": "متغیرهای خروجی",
"nodes.common.pluginNotInstalled": "افزونه نصب نشده است",
+ "nodes.common.pluginsNotInstalled": "{{count}} افزونه نصب نشده است",
"nodes.common.retry.maxRetries": "حداکثر تلاش مجدد",
"nodes.common.retry.ms": "ms",
"nodes.common.retry.retries": "{{num}} تلاش مجدد",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "چانکها",
"nodes.knowledgeBase.chunksInputTip": "متغیر ورودی گره پایگاه دانش چانکها است. نوع متغیر یک شیء با طرح JSON خاص است که باید با ساختار چانک انتخابشده سازگار باشد.",
"nodes.knowledgeBase.chunksVariableIsRequired": "متغیر چانکها الزامی است",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "کلید API در دسترس نیست",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "اعتبار تمام شده",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "ناسازگار",
"nodes.knowledgeBase.embeddingModelIsInvalid": "مدل Embedding نامعتبر است",
"nodes.knowledgeBase.embeddingModelIsRequired": "مدل Embedding الزامی است",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "مدل Embedding پیکربندی نشده است",
"nodes.knowledgeBase.indexMethodIsRequired": "روش ایندکسگذاری الزامی است",
+ "nodes.knowledgeBase.notConfigured": "پیکربندی نشده",
"nodes.knowledgeBase.rerankingModelIsInvalid": "مدل بازرتبهبندی نامعتبر است",
"nodes.knowledgeBase.rerankingModelIsRequired": "مدل بازرتبهبندی الزامی است",
"nodes.knowledgeBase.retrievalSettingIsRequired": "تنظیمات بازیابی الزامی است",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "فقط از Jinja2 پشتیبانی میشود",
"nodes.templateTransform.inputVars": "متغیرهای ورودی",
"nodes.templateTransform.outputVars.output": "محتوای تبدیلشده",
+ "nodes.tool.authorizationRequired": "احراز هویت الزامی است",
"nodes.tool.authorize": "مجوزدهی",
"nodes.tool.inputVars": "متغیرهای ورودی",
"nodes.tool.insertPlaceholder1": "تایپ کنید یا فشار دهید",
@@ -1062,10 +1071,12 @@
"panel.change": "تغییر",
"panel.changeBlock": "تغییر گره",
"panel.checklist": "چکلیست",
+ "panel.checklistDescription": "مشکلات زیر را پیش از انتشار برطرف کنید",
"panel.checklistResolved": "تمام مشکلات برطرف شدهاند",
"panel.checklistTip": "قبل از انتشار، مطمئن شوید که تمام مشکلات برطرف شدهاند",
"panel.createdBy": "ساخته شده توسط",
"panel.goTo": "برو به",
+ "panel.goToFix": "برو به رفع",
"panel.helpLink": "راهنما",
"panel.maximize": "تمامصفحه",
"panel.minimize": "خروج از تمامصفحه",
diff --git a/web/i18n/fr-FR/app-debug.json b/web/i18n/fr-FR/app-debug.json
index 88f75f5136..711959c323 100644
--- a/web/i18n/fr-FR/app-debug.json
+++ b/web/i18n/fr-FR/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "EXÉCUTER",
"inputs.title": "Déboguer et Aperçu",
"inputs.userInputField": "Champ de saisie utilisateur",
+ "manageModels": "Gérer les modèles",
"modelConfig.modeType.chat": "Discussion",
"modelConfig.modeType.completion": "Complet",
"modelConfig.model": "Modèle",
"modelConfig.setTone": "Définir le ton des réponses",
"modelConfig.title": "Modèle et Paramètres",
+ "noModelProviderConfigured": "Aucun fournisseur de modèle configuré",
+ "noModelProviderConfiguredTip": "Installez ou configurez un fournisseur de modèle pour commencer.",
+ "noModelSelected": "Aucun modèle sélectionné",
+ "noModelSelectedTip": "Configurez un modèle ci-dessus pour continuer.",
"noResult": "La sortie sera affichée ici.",
"notSetAPIKey.description": "La clé du fournisseur LLM n'a pas été définie, et elle doit être définie avant le débogage.",
"notSetAPIKey.settingBtn": "Aller aux paramètres",
diff --git a/web/i18n/fr-FR/common.json b/web/i18n/fr-FR/common.json
index 42b40b2a2a..8710c04c44 100644
--- a/web/i18n/fr-FR/common.json
+++ b/web/i18n/fr-FR/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Non autorisé",
"modelProvider.buyQuota": "Acheter Quota",
"modelProvider.callTimes": "Temps d'appel",
+ "modelProvider.card.aiCreditsInUse": "AI credits en cours d'utilisation",
+ "modelProvider.card.aiCreditsOption": "AI credits",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "API Key requise",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key indisponible, utilisation des AI credits",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Vérifiez la configuration de votre API Key pour revenir en arrière",
"modelProvider.card.buyQuota": "Acheter Quota",
"modelProvider.card.callTimes": "Temps d'appel",
+ "modelProvider.card.creditsExhaustedDescription": "Veuillez mettre à niveau votre forfait ou configurer une API Key",
+ "modelProvider.card.creditsExhaustedFallback": "AI credits épuisés, utilisation de l'API Key",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Mettez à niveau votre forfait pour rétablir la priorité des AI credits.",
+ "modelProvider.card.creditsExhaustedMessage": "Les AI credits ont été épuisés",
"modelProvider.card.modelAPI": "Les modèles {{modelName}} utilisent la clé API.",
"modelProvider.card.modelNotSupported": "Les modèles {{modelName}} ne sont pas installés.",
"modelProvider.card.modelSupported": "Les modèles {{modelName}} utilisent ce quota.",
+ "modelProvider.card.noApiKeysDescription": "Ajoutez une API Key pour utiliser vos propres identifiants de modèle.",
+ "modelProvider.card.noApiKeysFallback": "Aucune API Key, utilisation des AI credits",
+ "modelProvider.card.noApiKeysTitle": "Aucune API Key configurée",
+ "modelProvider.card.noAvailableUsage": "Aucune utilisation disponible",
"modelProvider.card.onTrial": "En Essai",
"modelProvider.card.paid": "Payé",
"modelProvider.card.priorityUse": "Utilisation prioritaire",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Supprimer la clé API",
"modelProvider.card.tip": "Les crédits de messages prennent en charge les modèles de {{modelNames}}. La priorité sera donnée au quota payant. Le quota gratuit sera utilisé après épuisement du quota payant.",
"modelProvider.card.tokens": "Jetons",
+ "modelProvider.card.unavailable": "Indisponible",
+ "modelProvider.card.upgradePlan": "mettre à niveau votre forfait",
+ "modelProvider.card.usageLabel": "Utilisation",
+ "modelProvider.card.usagePriority": "Priorité d'utilisation",
+ "modelProvider.card.usagePriorityTip": "Définissez la ressource à utiliser en priorité lors de l'exécution des modèles.",
"modelProvider.collapse": "Effondrer",
"modelProvider.config": "Configuration",
"modelProvider.configLoadBalancing": "Équilibrage de charge de configuration",
@@ -387,9 +406,11 @@
"modelProvider.model": "Modèle",
"modelProvider.modelAndParameters": "Modèle et Paramètres",
"modelProvider.modelHasBeenDeprecated": "Ce modèle est obsolète",
+ "modelProvider.modelSettings": "Paramètres du modèle",
"modelProvider.models": "Modèles",
"modelProvider.modelsNum": "{{num}} Modèles",
"modelProvider.noModelFound": "Aucun modèle trouvé pour {{model}}",
+ "modelProvider.noneConfigured": "Configurez un modèle système par défaut pour exécuter les applications",
"modelProvider.notConfigured": "Le modèle du système n'a pas encore été entièrement configuré, et certaines fonctions peuvent être indisponibles.",
"modelProvider.parameters": "PARAMÈTRES",
"modelProvider.parametersInvalidRemoved": "Certains paramètres sont invalides et ont été supprimés.",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Réinitialiser le {{date}}",
"modelProvider.searchModel": "Modèle de recherche",
"modelProvider.selectModel": "Sélectionnez votre modèle",
+ "modelProvider.selector.aiCredits": "AI credits",
+ "modelProvider.selector.apiKeyUnavailable": "API Key indisponible",
+ "modelProvider.selector.apiKeyUnavailableTip": "L'API Key a été supprimée. Veuillez configurer une nouvelle API Key.",
+ "modelProvider.selector.configure": "Configurer",
+ "modelProvider.selector.configureRequired": "Configuration requise",
+ "modelProvider.selector.creditsExhausted": "Crédits épuisés",
+ "modelProvider.selector.creditsExhaustedTip": "Vos AI credits ont été épuisés. Veuillez mettre à niveau votre forfait ou ajouter une API Key.",
+ "modelProvider.selector.disabled": "Désactivé",
+ "modelProvider.selector.discoverMoreInMarketplace": "Découvrir plus sur le Marketplace",
"modelProvider.selector.emptySetting": "Veuillez aller dans les paramètres pour configurer",
"modelProvider.selector.emptyTip": "Aucun modèle disponible",
+ "modelProvider.selector.fromMarketplace": "Depuis le Marketplace",
+ "modelProvider.selector.incompatible": "Incompatible",
+ "modelProvider.selector.incompatibleTip": "Ce modèle n'est pas disponible dans la version actuelle. Veuillez sélectionner un autre modèle disponible.",
+ "modelProvider.selector.install": "Installer",
+ "modelProvider.selector.modelProviderSettings": "Paramètres du fournisseur de modèle",
+ "modelProvider.selector.noProviderConfigured": "Aucun fournisseur de modèle configuré",
+ "modelProvider.selector.noProviderConfiguredDesc": "Parcourez le Marketplace pour en installer un, ou configurez les fournisseurs dans les paramètres.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Seuls les modèles compatibles sont affichés",
"modelProvider.selector.rerankTip": "Veuillez configurer le modèle Rerank",
"modelProvider.selector.tip": "Ce modèle a été supprimé. Veuillez ajouter un modèle ou sélectionner un autre modèle.",
"modelProvider.setupModelFirst": "Veuillez d'abord configurer votre modèle",
diff --git a/web/i18n/fr-FR/plugin.json b/web/i18n/fr-FR/plugin.json
index 79f43acb8e..cbea19646d 100644
--- a/web/i18n/fr-FR/plugin.json
+++ b/web/i18n/fr-FR/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Supprimer le plugin",
"action.deleteContentLeft": "Souhaitez-vous supprimer",
"action.deleteContentRight": "Plug-in ?",
+ "action.deleteSuccess": "Plugin supprimé avec succès",
"action.pluginInfo": "Informations sur le plugin",
"action.usedInApps": "Ce plugin est utilisé dans les applications {{num}}.",
"allCategories": "Toutes les catégories",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Installer",
"detailPanel.operation.remove": "Enlever",
"detailPanel.operation.update": "Mettre à jour",
+ "detailPanel.operation.updateTooltip": "Mettez à jour pour accéder aux derniers modèles.",
"detailPanel.operation.viewDetail": "Voir les détails",
"detailPanel.serviceOk": "Service OK",
"detailPanel.strategyNum": "{{num}} {{strategy}} INCLUS",
@@ -231,12 +233,18 @@
"source.local": "Fichier de package local",
"source.marketplace": "Marché",
"task.clearAll": "Effacer tout",
+ "task.errorMsg.github": "Ce plugin n'a pas pu être installé automatiquement.\nVeuillez l'installer depuis GitHub.",
+ "task.errorMsg.marketplace": "Ce plugin n'a pas pu être installé automatiquement.\nVeuillez l'installer depuis le Marketplace.",
+ "task.errorMsg.unknown": "Ce plugin n'a pas pu être installé.\nLa source du plugin n'a pas pu être identifiée.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} les plugins n’ont pas pu être installés, cliquez pour voir",
+ "task.installFromGithub": "Installer depuis GitHub",
+ "task.installFromMarketplace": "Installer depuis le Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} les plugins n’ont pas pu être installés",
"task.installing": "Installation des plugins.",
+ "task.installingHint": "Installation en cours... Cela peut prendre quelques minutes.",
"task.installingWithError": "Installation des plugins {{installingLength}}, succès de {{successLength}}, échec de {{errorLength}}",
"task.installingWithSuccess": "Installation des plugins {{installingLength}}, succès de {{successLength}}.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/fr-FR/workflow.json b/web/i18n/fr-FR/workflow.json
index b5f67f74b3..09d140445e 100644
--- a/web/i18n/fr-FR/workflow.json
+++ b/web/i18n/fr-FR/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "mise à jour du flux de travail",
"error.startNodeRequired": "Veuillez d'abord ajouter un nœud de départ avant {{operation}}",
"errorMsg.authRequired": "Autorisation requise",
+ "errorMsg.configureModel": "Configurez un modèle",
"errorMsg.fieldRequired": "{{field}} est requis",
"errorMsg.fields.code": "Code",
"errorMsg.fields.model": "Modèle",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Vision Variable",
"errorMsg.invalidJson": "{{field}} est un JSON invalide",
"errorMsg.invalidVariable": "Variable invalide",
+ "errorMsg.modelPluginNotInstalled": "Variable invalide. Configurez un modèle pour activer cette variable.",
"errorMsg.noValidTool": "{{field}} aucun outil valide sélectionné",
"errorMsg.rerankModelRequired": "Avant d’activer le modèle de reclassement, veuillez confirmer que le modèle a été correctement configuré dans les paramètres.",
"errorMsg.startNodeRequired": "Veuillez d'abord ajouter un nœud de départ avant {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Taille de la fenêtre",
"nodes.common.outputVars": "Variables de sortie",
"nodes.common.pluginNotInstalled": "Le plugin n'est pas installé",
+ "nodes.common.pluginsNotInstalled": "{{count}} plugins non installés",
"nodes.common.retry.maxRetries": "Nombre maximal de tentatives",
"nodes.common.retry.ms": "ms",
"nodes.common.retry.retries": "{{num}} Tentatives",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Morceaux",
"nodes.knowledgeBase.chunksInputTip": "La variable d'entrée du nœud de la base de connaissances est Chunks. Le type de variable est un objet avec un schéma JSON spécifique qui doit être cohérent avec la structure de morceau sélectionnée.",
"nodes.knowledgeBase.chunksVariableIsRequired": "La variable Chunks est requise",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API Key indisponible",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Crédits épuisés",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Incompatible",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Le modèle d'intégration est invalide",
- "nodes.knowledgeBase.embeddingModelIsRequired": "Un modèle d'intégration est requis",
+ "nodes.knowledgeBase.embeddingModelIsRequired": "Un modèle d’intégration est requis",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Modèle d’embedding non configuré",
"nodes.knowledgeBase.indexMethodIsRequired": "La méthode d’indexation est requise",
+ "nodes.knowledgeBase.notConfigured": "Non configuré",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Le modèle de rerank est invalide",
"nodes.knowledgeBase.rerankingModelIsRequired": "Un modèle de rerankage est requis",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Le paramètre de récupération est requis",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Prend en charge uniquement Jinja2",
"nodes.templateTransform.inputVars": "Variables de saisie",
"nodes.templateTransform.outputVars.output": "Contenu transformé",
+ "nodes.tool.authorizationRequired": "Autorisation requise",
"nodes.tool.authorize": "Autoriser",
"nodes.tool.inputVars": "Variables de saisie",
"nodes.tool.insertPlaceholder1": "Tapez ou appuyez",
@@ -1062,10 +1071,12 @@
"panel.change": "Modifier",
"panel.changeBlock": "Changer de nœud",
"panel.checklist": "Liste de contrôle",
+ "panel.checklistDescription": "Résolvez les problèmes suivants avant de publier",
"panel.checklistResolved": "Tous les problèmes ont été résolus",
"panel.checklistTip": "Assurez-vous que tous les problèmes sont résolus avant de publier",
"panel.createdBy": "Créé par",
"panel.goTo": "Aller à",
+ "panel.goToFix": "Aller corriger",
"panel.helpLink": "Aide",
"panel.maximize": "Maximiser le Canvas",
"panel.minimize": "Sortir du mode plein écran",
diff --git a/web/i18n/hi-IN/app-debug.json b/web/i18n/hi-IN/app-debug.json
index 97e733e167..f9d438f0b1 100644
--- a/web/i18n/hi-IN/app-debug.json
+++ b/web/i18n/hi-IN/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "चालू करें",
"inputs.title": "डिबग और पूर्वावलोकन",
"inputs.userInputField": "उपयोगकर्ता इनपुट फ़ील्ड",
+ "manageModels": "मॉडल प्रबंधित करें",
"modelConfig.modeType.chat": "चैट",
"modelConfig.modeType.completion": "पूर्ण",
"modelConfig.model": "मॉडल",
"modelConfig.setTone": "प्रतिक्रियाओं की टोन सेट करें",
"modelConfig.title": "मॉडल और पैरामीटर",
+ "noModelProviderConfigured": "कोई मॉडल प्रदाता कॉन्फ़िगर नहीं है",
+ "noModelProviderConfiguredTip": "शुरू करने के लिए एक मॉडल प्रदाता इंस्टॉल या कॉन्फ़िगर करें।",
+ "noModelSelected": "कोई मॉडल चयनित नहीं है",
+ "noModelSelectedTip": "जारी रखने के लिए ऊपर एक मॉडल कॉन्फ़िगर करें।",
"noResult": "प्रदर्शन यहाँ होगा।",
"notSetAPIKey.description": "एलएलएम प्रदाता कुंजी सेट नहीं की गई है, और डीबग करने से पहले इसे सेट करने की आवश्यकता है।",
"notSetAPIKey.settingBtn": "सेटिंग्स पर जाएं",
diff --git a/web/i18n/hi-IN/common.json b/web/i18n/hi-IN/common.json
index 75ac76add8..e61c96ca45 100644
--- a/web/i18n/hi-IN/common.json
+++ b/web/i18n/hi-IN/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "अअनधिकारित",
"modelProvider.buyQuota": "कोटा खरीदें",
"modelProvider.callTimes": "कॉल समय",
+ "modelProvider.card.aiCreditsInUse": "AI credits उपयोग में हैं",
+ "modelProvider.card.aiCreditsOption": "AI credits",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "API key आवश्यक है",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key अनुपलब्ध, AI credits का उपयोग हो रहा है",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "वापस स्विच करने के लिए अपना API key कॉन्फ़िगरेशन जाँचें",
"modelProvider.card.buyQuota": "कोटा खरीदें",
"modelProvider.card.callTimes": "कॉल समय",
+ "modelProvider.card.creditsExhaustedDescription": "कृपया अपना प्लान अपग्रेड करें या API key कॉन्फ़िगर करें",
+ "modelProvider.card.creditsExhaustedFallback": "AI credits समाप्त, API Key का उपयोग हो रहा है",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "AI credit प्राथमिकता फिर से शुरू करने के लिए अपना प्लान अपग्रेड करें ।",
+ "modelProvider.card.creditsExhaustedMessage": "AI credits समाप्त हो गए हैं",
"modelProvider.card.modelAPI": "{{modelName}} मॉडल API कुंजी का उपयोग कर रहे हैं।",
"modelProvider.card.modelNotSupported": "{{modelName}} मॉडल इंस्टॉल नहीं हैं।",
"modelProvider.card.modelSupported": "{{modelName}} मॉडल इस कोटा का उपयोग कर रहे हैं।",
+ "modelProvider.card.noApiKeysDescription": "अपने स्वयं के मॉडल क्रेडेंशियल का उपयोग शुरू करने के लिए API key जोड़ें।",
+ "modelProvider.card.noApiKeysFallback": "कोई API key नहीं, AI credits का उपयोग हो रहा है",
+ "modelProvider.card.noApiKeysTitle": "अभी तक कोई API key कॉन्फ़िगर नहीं है",
+ "modelProvider.card.noAvailableUsage": "कोई उपलब्ध उपयोग नहीं",
"modelProvider.card.onTrial": "परीक्षण पर",
"modelProvider.card.paid": "भुगतान किया हुआ",
"modelProvider.card.priorityUse": "प्राथमिकता उपयोग",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "API कुंजी निकालें",
"modelProvider.card.tip": "संदेश क्रेडिट {{modelNames}} के मॉडल का समर्थन करते हैं। भुगतान किए गए कोटा को प्राथमिकता दी जाएगी। भुगतान किए गए कोटा के समाप्त होने के बाद मुफ्त कोटा का उपयोग किया जाएगा।",
"modelProvider.card.tokens": "टोकन",
+ "modelProvider.card.unavailable": "अनुपलब्ध",
+ "modelProvider.card.upgradePlan": "अपना प्लान अपग्रेड करें",
+ "modelProvider.card.usageLabel": "उपयोग",
+ "modelProvider.card.usagePriority": "उपयोग प्राथमिकता",
+ "modelProvider.card.usagePriorityTip": "मॉडल चलाते समय पहले किस संसाधन का उपयोग करना है, यह सेट करें।",
"modelProvider.collapse": "संक्षिप्त करें",
"modelProvider.config": "कॉन्फ़िग",
"modelProvider.configLoadBalancing": "लोड बैलेंसिंग कॉन्फ़िग करें",
@@ -387,9 +406,11 @@
"modelProvider.model": "मॉडल",
"modelProvider.modelAndParameters": "मॉडल और पैरामीटर",
"modelProvider.modelHasBeenDeprecated": "यह मॉडल अप्रचलित हो गया है",
+ "modelProvider.modelSettings": "मॉडल सेटिंग्स",
"modelProvider.models": "मॉडल्स",
"modelProvider.modelsNum": "{{num}} मॉडल्स",
"modelProvider.noModelFound": "{{model}} के लिए कोई मॉडल नहीं मिला",
+ "modelProvider.noneConfigured": "एप्लिकेशन चलाने के लिए एक डिफ़ॉल्ट सिस्टम मॉडल कॉन्फ़िगर करें",
"modelProvider.notConfigured": "सिस्टम मॉडल को अभी पूरी तरह से कॉन्फ़िगर नहीं किया गया है, और कुछ कार्य उपलब्ध नहीं हो सकते हैं।",
"modelProvider.parameters": "पैरामीटर",
"modelProvider.parametersInvalidRemoved": "कुछ पैरामीटर अमान्य हैं और हटा दिए गए हैं",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "{{date}} को रीसेट करें",
"modelProvider.searchModel": "खोज मॉडल",
"modelProvider.selectModel": "अपने मॉडल का चयन करें",
+ "modelProvider.selector.aiCredits": "AI credits",
+ "modelProvider.selector.apiKeyUnavailable": "API Key अनुपलब्ध",
+ "modelProvider.selector.apiKeyUnavailableTip": "API key हटा दी गई है। कृपया एक नई API key कॉन्फ़िगर करें।",
+ "modelProvider.selector.configure": "कॉन्फ़िगर करें",
+ "modelProvider.selector.configureRequired": "कॉन्फ़िगरेशन आवश्यक",
+ "modelProvider.selector.creditsExhausted": "क्रेडिट समाप्त",
+ "modelProvider.selector.creditsExhaustedTip": "आपके AI credits समाप्त हो गए हैं। कृपया अपना प्लान अपग्रेड करें या API key जोड़ें।",
+ "modelProvider.selector.disabled": "अक्षम",
+ "modelProvider.selector.discoverMoreInMarketplace": "Marketplace में और खोजें",
"modelProvider.selector.emptySetting": "कॉन्फ़िगर करने के लिए कृपया सेटिंग्स पर जाएं",
"modelProvider.selector.emptyTip": "कोई उपलब्ध मॉडल नहीं",
+ "modelProvider.selector.fromMarketplace": "Marketplace से",
+ "modelProvider.selector.incompatible": "असंगत",
+ "modelProvider.selector.incompatibleTip": "यह मॉडल वर्तमान संस्करण में उपलब्ध नहीं है। कृपया कोई अन्य उपलब्ध मॉडल चुनें।",
+ "modelProvider.selector.install": "इंस्टॉल करें",
+ "modelProvider.selector.modelProviderSettings": "मॉडल प्रदाता सेटिंग्स",
+ "modelProvider.selector.noProviderConfigured": "कोई मॉडल प्रदाता कॉन्फ़िगर नहीं है",
+ "modelProvider.selector.noProviderConfiguredDesc": "इंस्टॉल करने के लिए Marketplace ब्राउज़ करें, या सेटिंग्स में प्रदाता कॉन्फ़िगर करें।",
+ "modelProvider.selector.onlyCompatibleModelsShown": "केवल संगत मॉडल दिखाए गए हैं",
"modelProvider.selector.rerankTip": "कृपया रीरैंक मॉडल सेट करें",
"modelProvider.selector.tip": "इस मॉडल को हटा दिया गया है। कृपया एक मॉडल जोड़ें या किसी अन्य मॉडल का चयन करें।",
"modelProvider.setupModelFirst": "कृपया पहले अपना मॉडल सेट करें",
diff --git a/web/i18n/hi-IN/plugin.json b/web/i18n/hi-IN/plugin.json
index 5a16c2676e..8d3a1c2d1d 100644
--- a/web/i18n/hi-IN/plugin.json
+++ b/web/i18n/hi-IN/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "प्लगइन हटाएं",
"action.deleteContentLeft": "क्या आप हटाना चाहेंगे",
"action.deleteContentRight": "प्लगइन?",
+ "action.deleteSuccess": "प्लगइन सफलतापूर्वक हटाया गया",
"action.pluginInfo": "प्लगइन जानकारी",
"action.usedInApps": "यह प्लगइन {{num}} ऐप्स में उपयोग किया जा रहा है।",
"allCategories": "सभी श्रेणियाँ",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "स्थापित करें",
"detailPanel.operation.remove": "हटाएं",
"detailPanel.operation.update": "अपडेट",
+ "detailPanel.operation.updateTooltip": "नवीनतम मॉडल तक पहुँचने के लिए अपडेट करें।",
"detailPanel.operation.viewDetail": "विवरण देखें",
"detailPanel.serviceOk": "सेवा ठीक है",
"detailPanel.strategyNum": "{{num}} {{strategy}} शामिल",
@@ -231,12 +233,18 @@
"source.local": "स्थानीय पैकेज फ़ाइल",
"source.marketplace": "बाजार",
"task.clearAll": "सभी साफ करें",
+ "task.errorMsg.github": "यह प्लगइन स्वचालित रूप से इंस्टॉल नहीं हो सका।\nकृपया इसे GitHub से इंस्टॉल करें।",
+ "task.errorMsg.marketplace": "यह प्लगइन स्वचालित रूप से इंस्टॉल नहीं हो सका।\nकृपया इसे Marketplace से इंस्टॉल करें।",
+ "task.errorMsg.unknown": "यह प्लगइन इंस्टॉल नहीं हो सका।\nप्लगइन स्रोत की पहचान नहीं हो सकी।",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} प्लगइन्स स्थापित करने में विफल रहे, देखने के लिए क्लिक करें",
+ "task.installFromGithub": "GitHub से इंस्टॉल करें",
+ "task.installFromMarketplace": "Marketplace से इंस्टॉल करें",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} प्लगइन्स स्थापित करने में विफल रहे",
"task.installing": "प्लगइन्स स्थापित कर रहे हैं।",
+ "task.installingHint": "इंस्टॉल हो रहा है... इसमें कुछ मिनट लग सकते हैं।",
"task.installingWithError": "{{installingLength}} प्लगइन्स स्थापित कर रहे हैं, {{successLength}} सफल, {{errorLength}} विफल",
"task.installingWithSuccess": "{{installingLength}} प्लगइन्स स्थापित कर रहे हैं, {{successLength}} सफल।",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/hi-IN/workflow.json b/web/i18n/hi-IN/workflow.json
index 31a3d4627f..fb9256536e 100644
--- a/web/i18n/hi-IN/workflow.json
+++ b/web/i18n/hi-IN/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "वर्कफ़्लो को अपडेट करना",
"error.startNodeRequired": "कृपया {{operation}} से पहले एक प्रारंभ नोड जोड़ें",
"errorMsg.authRequired": "प्राधिकरण आवश्यक है",
+ "errorMsg.configureModel": "एक मॉडल कॉन्फ़िगर करें",
"errorMsg.fieldRequired": "{{field}} आवश्यक है",
"errorMsg.fields.code": "कोड",
"errorMsg.fields.model": "मॉडल",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "दृष्टि चर",
"errorMsg.invalidJson": "{{field}} अमान्य JSON है",
"errorMsg.invalidVariable": "अमान्य वेरिएबल",
+ "errorMsg.modelPluginNotInstalled": "अमान्य वेरिएबल। इस वेरिएबल को सक्षम करने के लिए एक मॉडल कॉन्फ़िगर करें।",
"errorMsg.noValidTool": "{{field}} कोई मान्य उपकरण चयनित नहीं किया गया",
"errorMsg.rerankModelRequired": "Rerank मॉडल चालू करने से पहले, कृपया पुष्टि करें कि मॉडल को सेटिंग्स में सफलतापूर्वक कॉन्फ़िगर किया गया है।",
"errorMsg.startNodeRequired": "कृपया {{operation}} से पहले पहले एक स्टार्ट नोड जोड़ें",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "विंडो साइज",
"nodes.common.outputVars": "आउटपुट वेरिएबल्स",
"nodes.common.pluginNotInstalled": "प्लगइन इंस्टॉल नहीं है",
+ "nodes.common.pluginsNotInstalled": "{{count}} प्लगइन इंस्टॉल नहीं हैं",
"nodes.common.retry.maxRetries": "अधिकतम पुनः प्रयास करता है",
"nodes.common.retry.ms": "सुश्री",
"nodes.common.retry.retries": "{{num}} पुनर्प्रयास",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "टुकड़े",
"nodes.knowledgeBase.chunksInputTip": "ज्ञान आधार नोड का इनपुट वेरिएबल टुकड़े है। वेरिएबल प्रकार एक ऑब्जेक्ट है जिसमें एक विशेष JSON स्कीमा है जो चयनित चंक संरचना के साथ सुसंगत होना चाहिए।",
"nodes.knowledgeBase.chunksVariableIsRequired": "टुकड़े चर आवश्यक है",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API key अनुपलब्ध",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "क्रेडिट समाप्त",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "असंगत",
"nodes.knowledgeBase.embeddingModelIsInvalid": "एम्बेडिंग मॉडल अमान्य है",
"nodes.knowledgeBase.embeddingModelIsRequired": "एम्बेडिंग मॉडल आवश्यक है",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "एम्बेडिंग मॉडल कॉन्फ़िगर नहीं है",
"nodes.knowledgeBase.indexMethodIsRequired": "सूची विधि आवश्यक है",
+ "nodes.knowledgeBase.notConfigured": "कॉन्फ़िगर नहीं है",
"nodes.knowledgeBase.rerankingModelIsInvalid": "पुनः क्रमांकन मॉडल अमान्य है",
"nodes.knowledgeBase.rerankingModelIsRequired": "पुनः क्रमांकन मॉडल की आवश्यकता है",
"nodes.knowledgeBase.retrievalSettingIsRequired": "पुनप्राप्ति सेटिंग आवश्यक है",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "केवल Jinja2 का समर्थन करता है",
"nodes.templateTransform.inputVars": "इनपुट वेरिएबल्स",
"nodes.templateTransform.outputVars.output": "रूपांतरित सामग्री",
+ "nodes.tool.authorizationRequired": "प्राधिकरण आवश्यक",
"nodes.tool.authorize": "अधिकृत करें",
"nodes.tool.inputVars": "इनपुट वेरिएबल्स",
"nodes.tool.insertPlaceholder1": "टाइप करें या दबाएँ",
@@ -1062,10 +1071,12 @@
"panel.change": "बदलें",
"panel.changeBlock": "नोड बदलें",
"panel.checklist": "चेकलिस्ट",
+ "panel.checklistDescription": "प्रकाशित करने से पहले निम्नलिखित समस्याएँ हल करें",
"panel.checklistResolved": "सभी समस्याएं हल हो गई हैं",
"panel.checklistTip": "प्रकाशित करने से पहले सुनिश्चित करें कि सभी समस्याएं हल हो गई हैं",
"panel.createdBy": "द्वारा बनाया गया ",
"panel.goTo": "जाओ",
+ "panel.goToFix": "ठीक करने जाएँ",
"panel.helpLink": "सहायता",
"panel.maximize": "कैनवास का अधिकतम लाभ उठाएँ",
"panel.minimize": "पूर्ण स्क्रीन से बाहर निकलें",
diff --git a/web/i18n/id-ID/app-debug.json b/web/i18n/id-ID/app-debug.json
index 21651349ba..feb0f0a296 100644
--- a/web/i18n/id-ID/app-debug.json
+++ b/web/i18n/id-ID/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "Jalankan",
"inputs.title": "Debug & Pratinjau",
"inputs.userInputField": "Bidang Input Pengguna",
+ "manageModels": "Kelola model",
"modelConfig.modeType.chat": "Mengobrol",
"modelConfig.modeType.completion": "Lengkap",
"modelConfig.model": "Pola",
"modelConfig.setTone": "Atur nada respons",
"modelConfig.title": "Model dan Parameter",
+ "noModelProviderConfigured": "Belum ada penyedia model yang dikonfigurasi",
+ "noModelProviderConfiguredTip": "Instal atau konfigurasi penyedia model untuk memulai.",
+ "noModelSelected": "Belum ada model yang dipilih",
+ "noModelSelectedTip": "Konfigurasi model di atas untuk melanjutkan.",
"noResult": "Output akan ditampilkan di sini.",
"notSetAPIKey.description": "Kunci penyedia LLM belum diatur, dan perlu diatur sebelum debugging.",
"notSetAPIKey.settingBtn": "Buka pengaturan",
diff --git a/web/i18n/id-ID/common.json b/web/i18n/id-ID/common.json
index 90531af712..51cd429992 100644
--- a/web/i18n/id-ID/common.json
+++ b/web/i18n/id-ID/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Sah",
"modelProvider.buyQuota": "Beli Kuota",
"modelProvider.callTimes": "Waktu panggilan",
+ "modelProvider.card.aiCreditsInUse": "Kredit AI sedang digunakan",
+ "modelProvider.card.aiCreditsOption": "Kredit AI",
+ "modelProvider.card.apiKeyOption": "Kunci API",
+ "modelProvider.card.apiKeyRequired": "Kunci API diperlukan",
+ "modelProvider.card.apiKeyUnavailableFallback": "Kunci API tidak tersedia, kini menggunakan kredit AI",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Periksa konfigurasi kunci API Anda untuk beralih kembali",
"modelProvider.card.buyQuota": "Beli Kuota",
"modelProvider.card.callTimes": "Waktu panggilan",
+ "modelProvider.card.creditsExhaustedDescription": "Silakan tingkatkan paket Anda atau konfigurasikan kunci API",
+ "modelProvider.card.creditsExhaustedFallback": "Kredit AI habis, kini menggunakan kunci API",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Tingkatkan paket Anda untuk melanjutkan prioritas kredit AI.",
+ "modelProvider.card.creditsExhaustedMessage": "Kredit AI telah habis",
"modelProvider.card.modelAPI": "Model {{modelName}} menggunakan Kunci API.",
"modelProvider.card.modelNotSupported": "Model {{modelName}} tidak terpasang.",
"modelProvider.card.modelSupported": "Model {{modelName}} menggunakan kuota ini.",
+ "modelProvider.card.noApiKeysDescription": "Tambahkan kunci API untuk mulai menggunakan kredensial model Anda sendiri.",
+ "modelProvider.card.noApiKeysFallback": "Tidak ada kunci API, menggunakan kredit AI sebagai gantinya",
+ "modelProvider.card.noApiKeysTitle": "Belum ada kunci API yang dikonfigurasi",
+ "modelProvider.card.noAvailableUsage": "Tidak ada penggunaan yang tersedia",
"modelProvider.card.onTrial": "Sedang Diadili",
"modelProvider.card.paid": "Dibayar",
"modelProvider.card.priorityUse": "Penggunaan prioritas",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Menghapus Kunci API",
"modelProvider.card.tip": "Kredit pesan mendukung model dari {{modelNames}}. Prioritas akan diberikan pada kuota yang dibayarkan. Kuota gratis akan digunakan setelah kuota yang dibayarkan habis.",
"modelProvider.card.tokens": "Token",
+ "modelProvider.card.unavailable": "Tidak tersedia",
+ "modelProvider.card.upgradePlan": "tingkatkan paket Anda",
+ "modelProvider.card.usageLabel": "Penggunaan",
+ "modelProvider.card.usagePriority": "Prioritas Penggunaan",
+ "modelProvider.card.usagePriorityTip": "Tentukan sumber daya mana yang digunakan terlebih dahulu saat menjalankan model.",
"modelProvider.collapse": "Roboh",
"modelProvider.config": "Konfigurasi",
"modelProvider.configLoadBalancing": "Penyeimbangan Beban Konfigurasi",
@@ -387,9 +406,11 @@
"modelProvider.model": "Pola",
"modelProvider.modelAndParameters": "Model dan Parameter",
"modelProvider.modelHasBeenDeprecated": "Model ini tidak digunakan lagi",
+ "modelProvider.modelSettings": "Pengaturan Model",
"modelProvider.models": "Model",
"modelProvider.modelsNum": "Model {{num}}",
"modelProvider.noModelFound": "Tidak ditemukan model untuk {{model}}",
+ "modelProvider.noneConfigured": "Konfigurasikan model sistem default untuk menjalankan aplikasi",
"modelProvider.notConfigured": "Model sistem belum sepenuhnya dikonfigurasi",
"modelProvider.parameters": "PARAMETER",
"modelProvider.parametersInvalidRemoved": "Beberapa parameter tidak valid dan telah dihapus",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Setel ulang pada {{date}}",
"modelProvider.searchModel": "Model pencarian",
"modelProvider.selectModel": "Pilih model Anda",
+ "modelProvider.selector.aiCredits": "Kredit AI",
+ "modelProvider.selector.apiKeyUnavailable": "Kunci API tidak tersedia",
+ "modelProvider.selector.apiKeyUnavailableTip": "Kunci API telah dihapus. Silakan konfigurasikan kunci API baru.",
+ "modelProvider.selector.configure": "Konfigurasikan",
+ "modelProvider.selector.configureRequired": "Konfigurasi diperlukan",
+ "modelProvider.selector.creditsExhausted": "Kredit habis",
+ "modelProvider.selector.creditsExhaustedTip": "Kredit AI Anda telah habis. Silakan tingkatkan paket Anda atau tambahkan kunci API.",
+ "modelProvider.selector.disabled": "Dinonaktifkan",
+ "modelProvider.selector.discoverMoreInMarketplace": "Temukan lebih banyak di Marketplace",
"modelProvider.selector.emptySetting": "Silakan buka pengaturan untuk mengonfigurasi",
"modelProvider.selector.emptyTip": "Tidak ada model yang tersedia",
+ "modelProvider.selector.fromMarketplace": "Dari Marketplace",
+ "modelProvider.selector.incompatible": "Tidak kompatibel",
+ "modelProvider.selector.incompatibleTip": "Model ini tidak tersedia dalam versi saat ini. Silakan pilih model lain yang tersedia.",
+ "modelProvider.selector.install": "Instal",
+ "modelProvider.selector.modelProviderSettings": "Pengaturan Penyedia Model",
+ "modelProvider.selector.noProviderConfigured": "Belum ada penyedia model yang dikonfigurasi",
+ "modelProvider.selector.noProviderConfiguredDesc": "Jelajahi Marketplace untuk menginstal, atau konfigurasikan penyedia di pengaturan.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Hanya model yang kompatibel yang ditampilkan",
"modelProvider.selector.rerankTip": "Silakan atur model Rerank",
"modelProvider.selector.tip": "Model ini telah dihapus. Silakan tambahkan model atau pilih model lain.",
"modelProvider.setupModelFirst": "Silakan atur model Anda terlebih dahulu",
diff --git a/web/i18n/id-ID/plugin.json b/web/i18n/id-ID/plugin.json
index 486de762f8..6b9c8f51af 100644
--- a/web/i18n/id-ID/plugin.json
+++ b/web/i18n/id-ID/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Hapus plugin",
"action.deleteContentLeft": "Apakah Anda ingin menghapus",
"action.deleteContentRight": "Plugin?",
+ "action.deleteSuccess": "Plugin berhasil dihapus",
"action.pluginInfo": "Info plugin",
"action.usedInApps": "Plugin ini digunakan di {{num}} aplikasi.",
"allCategories": "Semua Kategori",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Pasang",
"detailPanel.operation.remove": "Hapus",
"detailPanel.operation.update": "Pemutakhiran",
+ "detailPanel.operation.updateTooltip": "Perbarui untuk mengakses model terbaru.",
"detailPanel.operation.viewDetail": "Lihat Detail",
"detailPanel.serviceOk": "Layanan OK",
"detailPanel.strategyNum": "{{num}} {{strategy}} TERMASUK",
@@ -231,12 +233,18 @@
"source.local": "File Paket Lokal",
"source.marketplace": "Pasar",
"task.clearAll": "Hapus semua",
+ "task.errorMsg.github": "Plugin ini tidak terinstal secara otomatis.\nSilakan instal dari GitHub.",
+ "task.errorMsg.marketplace": "Plugin ini tidak terinstal secara otomatis.\nSilakan instal dari Marketplace.",
+ "task.errorMsg.unknown": "Plugin ini tidak terinstal.\nSumber plugin tidak dapat diidentifikasi.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "Gagal menginstal plugin {{errorLength}}, klik untuk melihat",
+ "task.installFromGithub": "Instal dari GitHub",
+ "task.installFromMarketplace": "Instal dari Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "Gagal menginstal {{errorLength}} plugin",
"task.installing": "Memasang plugin.",
+ "task.installingHint": "Menginstal... Ini mungkin memerlukan beberapa menit.",
"task.installingWithError": "Memasang {{installingLength}} plugin, {{successLength}} berhasil, {{errorLength}} gagal",
"task.installingWithSuccess": "Memasang plugin {{installingLength}}, {{successLength}} berhasil.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/id-ID/workflow.json b/web/i18n/id-ID/workflow.json
index 4f8e01b7f1..76e80be7d7 100644
--- a/web/i18n/id-ID/workflow.json
+++ b/web/i18n/id-ID/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "memperbarui alur kerja",
"error.startNodeRequired": "Silakan tambahkan node awal terlebih dahulu sebelum {{operation}}",
"errorMsg.authRequired": "Otorisasi diperlukan",
+ "errorMsg.configureModel": "Konfigurasikan model",
"errorMsg.fieldRequired": "{{field}} wajib diisi",
"errorMsg.fields.code": "Kode",
"errorMsg.fields.model": "Model",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Variabel Penglihatan",
"errorMsg.invalidJson": "{{field}} adalah JSON yang tidak valid",
"errorMsg.invalidVariable": "Variabel tidak valid",
+ "errorMsg.modelPluginNotInstalled": "Variabel tidak valid. Konfigurasikan model untuk mengaktifkan variabel ini.",
"errorMsg.noValidTool": "{{field}} tidak ada alat yang valid dipilih",
"errorMsg.rerankModelRequired": "Model Rerank yang dikonfigurasi diperlukan",
"errorMsg.startNodeRequired": "Silakan tambahkan node awal terlebih dahulu sebelum {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Ukuran Jendela",
"nodes.common.outputVars": "Variabel Keluaran",
"nodes.common.pluginNotInstalled": "Plugin tidak terpasang",
+ "nodes.common.pluginsNotInstalled": "{{count}} plugin tidak terpasang",
"nodes.common.retry.maxRetries": "percobaan ulang maks",
"nodes.common.retry.ms": "Ms",
"nodes.common.retry.retries": "{{num}} Percobaan Ulang",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Potongan",
"nodes.knowledgeBase.chunksInputTip": "Variabel input dari node basis pengetahuan adalah Chunks. Tipe variabel adalah objek dengan Skema JSON tertentu yang harus konsisten dengan struktur chunk yang dipilih.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Variabel Chunks diperlukan",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "Kunci API tidak tersedia",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Kredit habis",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Tidak kompatibel",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Model embedding tidak valid",
"nodes.knowledgeBase.embeddingModelIsRequired": "Model embedding diperlukan",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Model embedding belum dikonfigurasi",
"nodes.knowledgeBase.indexMethodIsRequired": "Metode indeks diperlukan",
+ "nodes.knowledgeBase.notConfigured": "Belum dikonfigurasi",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Model reranking tidak valid",
"nodes.knowledgeBase.rerankingModelIsRequired": "Model reranking diperlukan",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Pengaturan pengambilan diperlukan",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Hanya mendukung Jinja2",
"nodes.templateTransform.inputVars": "Variabel Masukan",
"nodes.templateTransform.outputVars.output": "Konten yang diubah",
+ "nodes.tool.authorizationRequired": "Otorisasi diperlukan",
"nodes.tool.authorize": "Otorisasi",
"nodes.tool.inputVars": "Variabel Masukan",
"nodes.tool.insertPlaceholder1": "Ketik atau tekan",
@@ -1062,10 +1071,12 @@
"panel.change": "Ubah",
"panel.changeBlock": "Ubah Node",
"panel.checklist": "Checklist",
+ "panel.checklistDescription": "Selesaikan masalah berikut sebelum menerbitkan",
"panel.checklistResolved": "Semua masalah terselesaikan",
"panel.checklistTip": "Pastikan semua masalah diselesaikan sebelum dipublikasikan",
"panel.createdBy": "Dibuat oleh",
"panel.goTo": "Pergi ke",
+ "panel.goToFix": "Pergi ke perbaikan",
"panel.helpLink": "Docs",
"panel.maximize": "Maksimalkan Kanvas",
"panel.minimize": "Keluar dari Layar Penuh",
diff --git a/web/i18n/it-IT/app-debug.json b/web/i18n/it-IT/app-debug.json
index 94e4c00894..b9aad1ff6b 100644
--- a/web/i18n/it-IT/app-debug.json
+++ b/web/i18n/it-IT/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "ESEGUI",
"inputs.title": "Debug e Anteprima",
"inputs.userInputField": "Campo Input Utente",
+ "manageModels": "Gestisci modelli",
"modelConfig.modeType.chat": "Chat",
"modelConfig.modeType.completion": "Completamento",
"modelConfig.model": "Modello",
"modelConfig.setTone": "Imposta tono delle risposte",
"modelConfig.title": "Modello e Parametri",
+ "noModelProviderConfigured": "Nessun fornitore di modelli configurato",
+ "noModelProviderConfiguredTip": "Installa o configura un fornitore di modelli per iniziare.",
+ "noModelSelected": "Nessun modello selezionato",
+ "noModelSelectedTip": "Configura un modello sopra per continuare.",
"noResult": "L'output verrà visualizzato qui.",
"notSetAPIKey.description": "La chiave del provider LLM non è stata impostata e deve essere impostata prima del debug.",
"notSetAPIKey.settingBtn": "Vai alle impostazioni",
diff --git a/web/i18n/it-IT/common.json b/web/i18n/it-IT/common.json
index d7b57d6d08..283c090ea8 100644
--- a/web/i18n/it-IT/common.json
+++ b/web/i18n/it-IT/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Non autorizzato",
"modelProvider.buyQuota": "Acquista Quota",
"modelProvider.callTimes": "Numero di chiamate",
+ "modelProvider.card.aiCreditsInUse": "Crediti AI in uso",
+ "modelProvider.card.aiCreditsOption": "Crediti AI",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "API Key richiesta",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key non disponibile, utilizzo dei crediti AI in corso",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Controlla la configurazione della tua API Key per tornare indietro",
"modelProvider.card.buyQuota": "Acquista Quota",
"modelProvider.card.callTimes": "Numero di chiamate",
+ "modelProvider.card.creditsExhaustedDescription": "Aggiorna il tuo piano o configura una API Key",
+ "modelProvider.card.creditsExhaustedFallback": "Crediti AI esauriti, utilizzo della API Key in corso",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Aggiorna il tuo piano per ripristinare la priorità dei crediti AI.",
+ "modelProvider.card.creditsExhaustedMessage": "I crediti AI sono esauriti",
"modelProvider.card.modelAPI": "I modelli {{modelName}} stanno utilizzando la chiave API.",
"modelProvider.card.modelNotSupported": "I modelli {{modelName}} non sono installati.",
"modelProvider.card.modelSupported": "I modelli {{modelName}} stanno utilizzando questa quota.",
+ "modelProvider.card.noApiKeysDescription": "Aggiungi una API Key per iniziare a usare le tue credenziali del modello.",
+ "modelProvider.card.noApiKeysFallback": "Nessuna API Key, utilizzo dei crediti AI in corso",
+ "modelProvider.card.noApiKeysTitle": "Nessuna API Key ancora configurata",
+ "modelProvider.card.noAvailableUsage": "Nessun utilizzo disponibile",
"modelProvider.card.onTrial": "In Prova",
"modelProvider.card.paid": "Pagato",
"modelProvider.card.priorityUse": "Uso prioritario",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Rimuovi API Key",
"modelProvider.card.tip": "I crediti di messaggi supportano modelli di {{modelNames}}. Verrà data priorità alla quota pagata. La quota gratuita sarà utilizzata dopo l'esaurimento della quota pagata.",
"modelProvider.card.tokens": "Token",
+ "modelProvider.card.unavailable": "Non disponibile",
+ "modelProvider.card.upgradePlan": "aggiorna il tuo piano",
+ "modelProvider.card.usageLabel": "Utilizzo",
+ "modelProvider.card.usagePriority": "Priorità di utilizzo",
+ "modelProvider.card.usagePriorityTip": "Imposta quale risorsa utilizzare per prima durante l'esecuzione dei modelli.",
"modelProvider.collapse": "Comprimi",
"modelProvider.config": "Configura",
"modelProvider.configLoadBalancing": "Configura Bilanciamento del Carico",
@@ -387,9 +406,11 @@
"modelProvider.model": "Modello",
"modelProvider.modelAndParameters": "Modello e Parametri",
"modelProvider.modelHasBeenDeprecated": "Questo modello è stato deprecato",
+ "modelProvider.modelSettings": "Impostazioni modello",
"modelProvider.models": "Modelli",
"modelProvider.modelsNum": "{{num}} Modelli",
"modelProvider.noModelFound": "Nessun modello trovato per {{model}}",
+ "modelProvider.noneConfigured": "Configura un modello di sistema predefinito per eseguire le applicazioni",
"modelProvider.notConfigured": "Il modello di sistema non è ancora stato completamente configurato e alcune funzioni potrebbero non essere disponibili.",
"modelProvider.parameters": "PARAMETRI",
"modelProvider.parametersInvalidRemoved": "Alcuni parametri non sono validi e sono stati rimossi.",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Ripristina il {{date}}",
"modelProvider.searchModel": "Modello di ricerca",
"modelProvider.selectModel": "Seleziona il tuo modello",
+ "modelProvider.selector.aiCredits": "Crediti AI",
+ "modelProvider.selector.apiKeyUnavailable": "API Key non disponibile",
+ "modelProvider.selector.apiKeyUnavailableTip": "La API Key è stata rimossa. Configura una nuova API Key.",
+ "modelProvider.selector.configure": "Configura",
+ "modelProvider.selector.configureRequired": "Configurazione richiesta",
+ "modelProvider.selector.creditsExhausted": "Crediti esauriti",
+ "modelProvider.selector.creditsExhaustedTip": "I tuoi crediti AI sono esauriti. Aggiorna il tuo piano o aggiungi una API Key.",
+ "modelProvider.selector.disabled": "Disabilitato",
+ "modelProvider.selector.discoverMoreInMarketplace": "Scopri di più nel Marketplace",
"modelProvider.selector.emptySetting": "Per favore vai alle impostazioni per configurare",
"modelProvider.selector.emptyTip": "Nessun modello disponibile",
+ "modelProvider.selector.fromMarketplace": "Dal Marketplace",
+ "modelProvider.selector.incompatible": "Incompatibile",
+ "modelProvider.selector.incompatibleTip": "Questo modello non è disponibile nella versione corrente. Seleziona un altro modello disponibile.",
+ "modelProvider.selector.install": "Installa",
+ "modelProvider.selector.modelProviderSettings": "Impostazioni fornitore modelli",
+ "modelProvider.selector.noProviderConfigured": "Nessun fornitore di modelli configurato",
+ "modelProvider.selector.noProviderConfiguredDesc": "Cerca nel Marketplace per installarne uno o configura i fornitori nelle impostazioni.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Vengono mostrati solo i modelli compatibili",
"modelProvider.selector.rerankTip": "Per favore, configura il modello di Rerank",
"modelProvider.selector.tip": "Questo modello è stato rimosso. Per favore aggiungi un modello o seleziona un altro modello.",
"modelProvider.setupModelFirst": "Per favore, configura prima il tuo modello",
diff --git a/web/i18n/it-IT/plugin.json b/web/i18n/it-IT/plugin.json
index 06a2dfa4ab..296aa31d54 100644
--- a/web/i18n/it-IT/plugin.json
+++ b/web/i18n/it-IT/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Rimuovi plugin",
"action.deleteContentLeft": "Vorresti rimuovere",
"action.deleteContentRight": "plugin?",
+ "action.deleteSuccess": "Plugin rimosso con successo",
"action.pluginInfo": "Informazioni sul plugin",
"action.usedInApps": "Questo plugin viene utilizzato nelle app {{num}}.",
"allCategories": "Tutte le categorie",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Installare",
"detailPanel.operation.remove": "Togliere",
"detailPanel.operation.update": "Aggiornare",
+ "detailPanel.operation.updateTooltip": "Aggiorna per accedere ai modelli più recenti.",
"detailPanel.operation.viewDetail": "vedi dettagli",
"detailPanel.serviceOk": "Servizio OK",
"detailPanel.strategyNum": "{{num}} {{strategy}} INCLUSO",
@@ -231,12 +233,18 @@
"source.local": "File del pacchetto locale",
"source.marketplace": "Mercato",
"task.clearAll": "Cancella tutto",
+ "task.errorMsg.github": "Impossibile installare automaticamente questo plugin.\nInstallalo da GitHub.",
+ "task.errorMsg.marketplace": "Impossibile installare automaticamente questo plugin.\nInstallalo dal Marketplace.",
+ "task.errorMsg.unknown": "Impossibile installare questo plugin.\nNon è stato possibile identificare la fonte del plugin.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "Impossibile installare i plugin {{errorLength}}, clicca per visualizzare",
+ "task.installFromGithub": "Installa da GitHub",
+ "task.installFromMarketplace": "Installa dal Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "Impossibile installare i plugin di {{errorLength}}",
"task.installing": "Installazione dei plugin.",
+ "task.installingHint": "Installazione in corso... Potrebbe richiedere qualche minuto.",
"task.installingWithError": "Installazione dei plugin {{installingLength}}, {{successLength}} successo, {{errorLength}} fallito",
"task.installingWithSuccess": "Installazione dei plugin {{installingLength}}, {{successLength}} successo.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/it-IT/workflow.json b/web/i18n/it-IT/workflow.json
index 0184b85009..519d7d7e2a 100644
--- a/web/i18n/it-IT/workflow.json
+++ b/web/i18n/it-IT/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "aggiornamento del flusso di lavoro",
"error.startNodeRequired": "Per favore aggiungi prima un nodo iniziale prima di {{operation}}",
"errorMsg.authRequired": "È richiesta l'autorizzazione",
+ "errorMsg.configureModel": "Configura un modello",
"errorMsg.fieldRequired": "{{field}} è richiesto",
"errorMsg.fields.code": "Codice",
"errorMsg.fields.model": "Modello",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Visione variabile",
"errorMsg.invalidJson": "{{field}} è un JSON non valido",
"errorMsg.invalidVariable": "Variabile non valida",
+ "errorMsg.modelPluginNotInstalled": "Variabile non valida. Configura un modello per abilitare questa variabile.",
"errorMsg.noValidTool": "{{field}} nessuno strumento valido selezionato",
"errorMsg.rerankModelRequired": "Prima di attivare il modello di reranking, conferma che il modello è stato configurato correttamente nelle impostazioni.",
"errorMsg.startNodeRequired": "Per favore aggiungi prima un nodo iniziale prima di {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Dimensione Finestra",
"nodes.common.outputVars": "Variabili di Output",
"nodes.common.pluginNotInstalled": "Il plugin non è installato",
+ "nodes.common.pluginsNotInstalled": "{{count}} plugin non installati",
"nodes.common.retry.maxRetries": "Numero massimo di tentativi",
"nodes.common.retry.ms": "ms",
"nodes.common.retry.retries": "{{num}} Tentativi",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Pezzetti",
"nodes.knowledgeBase.chunksInputTip": "La variabile di input del nodo della base di conoscenza è Chunks. Il tipo di variabile è un oggetto con uno specifico schema JSON che deve essere coerente con la struttura del chunk selezionato.",
"nodes.knowledgeBase.chunksVariableIsRequired": "La variabile Chunks è richiesta",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API Key non disponibile",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Crediti esauriti",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Incompatibile",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Il modello di embedding non è valido",
"nodes.knowledgeBase.embeddingModelIsRequired": "È necessario un modello di embedding",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Modello di embedding non configurato",
"nodes.knowledgeBase.indexMethodIsRequired": "È necessario il metodo dell'indice",
+ "nodes.knowledgeBase.notConfigured": "Non configurato",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Il modello di riorganizzazione è non valido",
"nodes.knowledgeBase.rerankingModelIsRequired": "È richiesto un modello di riordinamento",
"nodes.knowledgeBase.retrievalSettingIsRequired": "È richiesta l'impostazione di recupero",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Supporta solo Jinja2",
"nodes.templateTransform.inputVars": "Variabili di Input",
"nodes.templateTransform.outputVars.output": "Contenuto trasformato",
+ "nodes.tool.authorizationRequired": "Autorizzazione richiesta",
"nodes.tool.authorize": "Autorizza",
"nodes.tool.inputVars": "Variabili di Input",
"nodes.tool.insertPlaceholder1": "Digita o premi",
@@ -1062,10 +1071,12 @@
"panel.change": "Cambia",
"panel.changeBlock": "Cambia Nodo",
"panel.checklist": "Checklist",
+ "panel.checklistDescription": "Risolvi i seguenti problemi prima della pubblicazione",
"panel.checklistResolved": "Tutti i problemi sono risolti",
"panel.checklistTip": "Assicurati che tutti i problemi siano risolti prima di pubblicare",
"panel.createdBy": "Creato da ",
"panel.goTo": "Vai a",
+ "panel.goToFix": "Vai a correggere",
"panel.helpLink": "Aiuto",
"panel.maximize": "Massimizza Canvas",
"panel.minimize": "Esci dalla modalità schermo intero",
diff --git a/web/i18n/ja-JP/common.json b/web/i18n/ja-JP/common.json
index 98fe556ecf..a65d8e933c 100644
--- a/web/i18n/ja-JP/common.json
+++ b/web/i18n/ja-JP/common.json
@@ -358,6 +358,7 @@
"modelProvider.card.noApiKeysDescription": "独自のモデル認証情報を使用するには、API キーを追加してください。",
"modelProvider.card.noApiKeysFallback": "API キーが未設定のため、AI クレジットを使用しています",
"modelProvider.card.noApiKeysTitle": "API キーはまだ設定されていません",
+ "modelProvider.card.noAvailableUsage": "利用可能な使用量がありません",
"modelProvider.card.onTrial": "トライアル中",
"modelProvider.card.paid": "有料",
"modelProvider.card.priorityUse": "優先利用",
@@ -366,6 +367,9 @@
"modelProvider.card.removeKey": "API キーを削除",
"modelProvider.card.tip": "メッセージ枠は{{modelNames}}のモデルを使用することをサポートしています。無料枠は有料枠が使い果たされた後に消費されます。",
"modelProvider.card.tokens": "トークン",
+ "modelProvider.card.unavailable": "利用不可",
+ "modelProvider.card.upgradePlan": "プランをアップグレード",
+ "modelProvider.card.usageLabel": "使用量",
"modelProvider.card.usagePriority": "使用優先順位",
"modelProvider.card.usagePriorityTip": "モデル実行時に優先して使用するリソースを設定します。",
"modelProvider.collapse": "折り畳み",
@@ -402,9 +406,11 @@
"modelProvider.model": "モデル",
"modelProvider.modelAndParameters": "モデルとパラメータ",
"modelProvider.modelHasBeenDeprecated": "このモデルは廃止予定です",
+ "modelProvider.modelSettings": "モデル設定",
"modelProvider.models": "モデル",
"modelProvider.modelsNum": "{{num}}のモデル",
"modelProvider.noModelFound": "{{model}}に対するモデルが見つかりません",
+ "modelProvider.noneConfigured": "アプリケーションを実行するためにデフォルトのシステムモデルを設定してください",
"modelProvider.notConfigured": "システムモデルがまだ完全に設定されておらず、一部の機能が利用できない場合があります。",
"modelProvider.parameters": "パラメータ",
"modelProvider.parametersInvalidRemoved": "いくつかのパラメータが無効であり、削除されました。",
@@ -421,14 +427,21 @@
"modelProvider.selector.aiCredits": "AI クレジット",
"modelProvider.selector.apiKeyUnavailable": "API キーが利用できません",
"modelProvider.selector.apiKeyUnavailableTip": "API キーは削除されました。新しい API キーを設定してください。",
+ "modelProvider.selector.configure": "設定",
"modelProvider.selector.configureRequired": "設定が必要です",
"modelProvider.selector.creditsExhausted": "クレジットを使い切りました",
"modelProvider.selector.creditsExhaustedTip": "AI クレジットを使い切りました。プランをアップグレードするか、API キーを追加してください。",
+ "modelProvider.selector.disabled": "無効",
+ "modelProvider.selector.discoverMoreInMarketplace": "マーケットプレイスでもっと探す",
"modelProvider.selector.emptySetting": "設定に移動して構成してください",
"modelProvider.selector.emptyTip": "利用可能なモデルはありません",
"modelProvider.selector.fromMarketplace": "マーケットプレイスから",
"modelProvider.selector.incompatible": "非互換",
"modelProvider.selector.incompatibleTip": "このモデルは現在のバージョンでは利用できません。別の利用可能なモデルを選択してください。",
+ "modelProvider.selector.install": "インストール",
+ "modelProvider.selector.modelProviderSettings": "モデルプロバイダー設定",
+ "modelProvider.selector.noProviderConfigured": "モデルプロバイダーが設定されていません",
+ "modelProvider.selector.noProviderConfiguredDesc": "マーケットプレイスでインストールするか、設定でプロバイダーを設定してください。",
"modelProvider.selector.onlyCompatibleModelsShown": "互換性のあるモデルのみが表示されます",
"modelProvider.selector.rerankTip": "Rerank モデルを設定してください",
"modelProvider.selector.tip": "このモデルは削除されました。別のモデルを追加するか、別のモデルを選択してください。",
diff --git a/web/i18n/ja-JP/plugin.json b/web/i18n/ja-JP/plugin.json
index c51a0e4117..38645124fb 100644
--- a/web/i18n/ja-JP/plugin.json
+++ b/web/i18n/ja-JP/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "プラグインを削除する",
"action.deleteContentLeft": "削除しますか",
"action.deleteContentRight": "プラグイン？",
+ "action.deleteSuccess": "プラグインが正常に削除されました",
"action.pluginInfo": "プラグイン情報",
"action.usedInApps": "このプラグインは{{num}}のアプリで使用されています。",
"allCategories": "すべてのカテゴリ",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "インストール",
"detailPanel.operation.remove": "削除",
"detailPanel.operation.update": "更新",
+ "detailPanel.operation.updateTooltip": "最新のモデルにアクセスするために更新してください。",
"detailPanel.operation.viewDetail": "詳細を見る",
"detailPanel.serviceOk": "サービスは正常です",
"detailPanel.strategyNum": "{{num}} {{strategy}} が含まれています",
@@ -231,12 +233,18 @@
"source.local": "ローカルパッケージファイル",
"source.marketplace": "マーケットプレイス",
"task.clearAll": "すべてクリア",
+ "task.errorMsg.github": "このプラグインは自動インストールできませんでした。\nGitHub からインストールしてください。",
+ "task.errorMsg.marketplace": "このプラグインは自動インストールできませんでした。\nマーケットプレイスからインストールしてください。",
+ "task.errorMsg.unknown": "このプラグインをインストールできませんでした。\nプラグインのソースを特定できませんでした。",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} プラグインのインストールに失敗しました。表示するにはクリックしてください。",
+ "task.installFromGithub": "GitHub からインストール",
+ "task.installFromMarketplace": "マーケットプレイスからインストール",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} プラグインのインストールに失敗しました",
"task.installing": "プラグインをインストール中。",
+ "task.installingHint": "インストール中...数分かかる場合があります。",
"task.installingWithError": "{{installingLength}}個のプラグインをインストール中、{{successLength}}件成功、{{errorLength}}件失敗",
"task.installingWithSuccess": "{{installingLength}}個のプラグインをインストール中、{{successLength}}個成功しました。",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/ja-JP/workflow.json b/web/i18n/ja-JP/workflow.json
index a2fac68bad..b9b60d6e73 100644
--- a/web/i18n/ja-JP/workflow.json
+++ b/web/i18n/ja-JP/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "ワークフロー更新",
"error.startNodeRequired": "{{operation}}前に開始ノードを追加してください",
"errorMsg.authRequired": "認証が必要です",
+ "errorMsg.configureModel": "モデルを設定してください",
"errorMsg.fieldRequired": "{{field}} は必須です",
"errorMsg.fields.code": "コード",
"errorMsg.fields.model": "モデル",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "ビジョン変数",
"errorMsg.invalidJson": "{{field}} は無効な JSON です",
"errorMsg.invalidVariable": "無効な変数です",
+ "errorMsg.modelPluginNotInstalled": "無効な変数です。この変数を有効にするにはモデルを設定してください。",
"errorMsg.noValidTool": "{{field}} に利用可能なツールがありません",
"errorMsg.rerankModelRequired": "Rerank モデルが設定されていません",
"errorMsg.startNodeRequired": "{{operation}}前に開始ノードを追加してください",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "メモリウィンドウサイズ",
"nodes.common.outputVars": "出力変数",
"nodes.common.pluginNotInstalled": "プラグインがインストールされていません",
+ "nodes.common.pluginsNotInstalled": "{{count}} 個のプラグインがインストールされていません",
"nodes.common.retry.maxRetries": "最大試行回数",
"nodes.common.retry.ms": "ミリ秒",
"nodes.common.retry.retries": "再試行回数：{{num}}",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "チャンク",
"nodes.knowledgeBase.chunksInputTip": "知識ベースノードの入力変数はチャンクです。変数のタイプは、選択されたチャンク構造と一貫性のある特定のJSONスキーマを持つオブジェクトです。",
"nodes.knowledgeBase.chunksVariableIsRequired": "Chunks変数は必須です",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API キーが利用できません",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "クレジットを使い切りました",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "非互換",
"nodes.knowledgeBase.embeddingModelIsInvalid": "埋め込みモデルが無効です",
"nodes.knowledgeBase.embeddingModelIsRequired": "埋め込みモデルが必要です",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "埋め込みモデルが設定されていません",
"nodes.knowledgeBase.indexMethodIsRequired": "インデックスメソッドが必要です",
+ "nodes.knowledgeBase.notConfigured": "未設定",
"nodes.knowledgeBase.rerankingModelIsInvalid": "リランキングモデルは無効です",
"nodes.knowledgeBase.rerankingModelIsRequired": "再ランキングモデルが必要です",
"nodes.knowledgeBase.retrievalSettingIsRequired": "リトリーバル設定が必要です",
@@ -1063,10 +1071,12 @@
"panel.change": "変更",
"panel.changeBlock": "ノード変更",
"panel.checklist": "チェックリスト",
+ "panel.checklistDescription": "公開前に以下の問題を解決してください",
"panel.checklistResolved": "全てのチェックが完了しました",
"panel.checklistTip": "公開前に全ての項目を確認してください",
"panel.createdBy": "作成者",
"panel.goTo": "移動",
+ "panel.goToFix": "修正する",
"panel.helpLink": "ドキュメントを見る",
"panel.maximize": "キャンバスを最大化する",
"panel.minimize": "全画面を終了する",
diff --git a/web/i18n/ko-KR/app-debug.json b/web/i18n/ko-KR/app-debug.json
index 3cb295a3f7..1f9c1e2420 100644
--- a/web/i18n/ko-KR/app-debug.json
+++ b/web/i18n/ko-KR/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "실행",
"inputs.title": "디버그 및 미리보기",
"inputs.userInputField": "사용자 입력 필드",
+ "manageModels": "모델 관리",
"modelConfig.modeType.chat": "채팅",
"modelConfig.modeType.completion": "완료",
"modelConfig.model": "모델",
"modelConfig.setTone": "응답 톤 설정",
"modelConfig.title": "모델 및 매개변수",
+ "noModelProviderConfigured": "모델 공급자가 구성되지 않았습니다",
+ "noModelProviderConfiguredTip": "모델 공급자를 설치하거나 구성하여 시작하세요.",
+ "noModelSelected": "모델이 선택되지 않았습니다",
+ "noModelSelectedTip": "계속하려면 위에서 모델을 구성하세요.",
"noResult": "출력이 여기에 표시됩니다.",
"notSetAPIKey.description": "LLM 제공자 키가 설정되지 않았습니다. 디버깅하기 전에 설정해야 합니다.",
"notSetAPIKey.settingBtn": "설정으로 이동",
diff --git a/web/i18n/ko-KR/common.json b/web/i18n/ko-KR/common.json
index 8fa351c517..e50a7c2428 100644
--- a/web/i18n/ko-KR/common.json
+++ b/web/i18n/ko-KR/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "무단",
"modelProvider.buyQuota": "할당량 구매",
"modelProvider.callTimes": "호출 횟수",
+ "modelProvider.card.aiCreditsInUse": "AI 크레딧 사용 중",
+ "modelProvider.card.aiCreditsOption": "AI 크레딧",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "API 키 설정 필요",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key를 사용할 수 없어 AI 크레딧을 사용 중입니다",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "API Key 설정을 확인하여 다시 전환하세요",
"modelProvider.card.buyQuota": "Buy Quota",
"modelProvider.card.callTimes": "호출 횟수",
+ "modelProvider.card.creditsExhaustedDescription": "플랜을 업그레이드 하거나 API 키를 설정하세요",
+ "modelProvider.card.creditsExhaustedFallback": "AI 크레딧이 소진되어 API Key를 사용 중입니다",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "AI 크레딧 우선 사용을 재개하려면 플랜을 업그레이드 하세요.",
+ "modelProvider.card.creditsExhaustedMessage": "AI 크레딧이 소진되었습니다",
"modelProvider.card.modelAPI": "{{modelName}} 모델이 API 키를 사용하고 있습니다.",
"modelProvider.card.modelNotSupported": "{{modelName}} 모델이 설치되지 않았습니다.",
"modelProvider.card.modelSupported": "{{modelName}} 모델이 이 할당량을 사용하고 있습니다.",
+ "modelProvider.card.noApiKeysDescription": "자체 모델 자격 증명을 사용하려면 API 키를 추가하세요.",
+ "modelProvider.card.noApiKeysFallback": "API Key가 없어 AI 크레딧을 사용 중입니다",
+ "modelProvider.card.noApiKeysTitle": "아직 API 키가 구성되지 않았습니다",
+ "modelProvider.card.noAvailableUsage": "사용 가능한 용량 없음",
"modelProvider.card.onTrial": "트라이얼 중",
"modelProvider.card.paid": "유료",
"modelProvider.card.priorityUse": "우선 사용",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "API 키 제거",
"modelProvider.card.tip": "메시지 크레딧은 {{modelNames}}의 모델을 지원합니다. 유료 할당량에 우선순위가 부여됩니다. 무료 할당량은 유료 할당량이 소진된 후 사용됩니다.",
"modelProvider.card.tokens": "토큰",
+ "modelProvider.card.unavailable": "사용 불가",
+ "modelProvider.card.upgradePlan": "플랜 업그레이드",
+ "modelProvider.card.usageLabel": "사용량",
+ "modelProvider.card.usagePriority": "사용 우선순위",
+ "modelProvider.card.usagePriorityTip": "모델 실행 시 우선 사용할 리소스를 설정합니다.",
"modelProvider.collapse": "축소",
"modelProvider.config": "설정",
"modelProvider.configLoadBalancing": "Config 로드 밸런싱",
@@ -387,9 +406,11 @@
"modelProvider.model": "모델",
"modelProvider.modelAndParameters": "모델 및 매개변수",
"modelProvider.modelHasBeenDeprecated": "이 모델은 더 이상 사용되지 않습니다",
+ "modelProvider.modelSettings": "모델 설정",
"modelProvider.models": "모델",
"modelProvider.modelsNum": "{{num}}개의 모델",
"modelProvider.noModelFound": "{{model}}에 대한 모델을 찾을 수 없습니다",
+ "modelProvider.noneConfigured": "애플리케이션을 실행하려면 기본 시스템 모델을 구성하세요",
"modelProvider.notConfigured": "시스템 모델이 아직 완전히 설정되지 않아 일부 기능을 사용할 수 없습니다.",
"modelProvider.parameters": "매개변수",
"modelProvider.parametersInvalidRemoved": "일부 매개변수가 유효하지 않아 제거되었습니다.",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "{{date}}에 재설정",
"modelProvider.searchModel": "검색 모델",
"modelProvider.selectModel": "모델 선택",
+ "modelProvider.selector.aiCredits": "AI 크레딧",
+ "modelProvider.selector.apiKeyUnavailable": "API Key 사용 불가",
+ "modelProvider.selector.apiKeyUnavailableTip": "API Key가 삭제되었습니다. 새 API Key를 설정하세요.",
+ "modelProvider.selector.configure": "구성",
+ "modelProvider.selector.configureRequired": "구성 필요",
+ "modelProvider.selector.creditsExhausted": "크레딧 소진",
+ "modelProvider.selector.creditsExhaustedTip": "AI 크레딧이 소진되었습니다. 플랜을 업그레이드하거나 API 키를 추가하세요.",
+ "modelProvider.selector.disabled": "비활성화됨",
+ "modelProvider.selector.discoverMoreInMarketplace": "마켓플레이스에서 더 찾아보기",
"modelProvider.selector.emptySetting": "설정으로 이동하여 구성하세요",
"modelProvider.selector.emptyTip": "사용 가능한 모델이 없습니다",
+ "modelProvider.selector.fromMarketplace": "마켓플레이스에서",
+ "modelProvider.selector.incompatible": "호환되지 않음",
+ "modelProvider.selector.incompatibleTip": "이 모델은 현재 버전에서 사용할 수 없습니다. 다른 사용 가능한 모델을 선택하세요.",
+ "modelProvider.selector.install": "설치",
+ "modelProvider.selector.modelProviderSettings": "모델 공급자 설정",
+ "modelProvider.selector.noProviderConfigured": "모델 공급자가 구성되지 않았습니다",
+ "modelProvider.selector.noProviderConfiguredDesc": "마켓플레이스에서 설치하거나 설정에서 공급자를 구성하세요.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "호환되는 모델만 표시됩니다",
"modelProvider.selector.rerankTip": "재랭크 모델을 설정하세요",
"modelProvider.selector.tip": "이 모델은 삭제되었습니다. 다른 모델을 추가하거나 다른 모델을 선택하세요.",
"modelProvider.setupModelFirst": "먼저 모델을 설정하세요",
diff --git a/web/i18n/ko-KR/plugin.json b/web/i18n/ko-KR/plugin.json
index 2f20a584c5..93b28beeb4 100644
--- a/web/i18n/ko-KR/plugin.json
+++ b/web/i18n/ko-KR/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "플러그인 제거",
"action.deleteContentLeft": "제거하시겠습니까?",
"action.deleteContentRight": "플러그인?",
+ "action.deleteSuccess": "플러그인이 성공적으로 제거되었습니다",
"action.pluginInfo": "플러그인 정보",
"action.usedInApps": "이 플러그인은 {{num}}개의 앱에서 사용되고 있습니다.",
"allCategories": "모든 카테고리",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "설치",
"detailPanel.operation.remove": "제거",
"detailPanel.operation.update": "업데이트",
+ "detailPanel.operation.updateTooltip": "최신 모델에 액세스하려면 업데이트하세요.",
"detailPanel.operation.viewDetail": "자세히보기",
"detailPanel.serviceOk": "서비스 정상",
"detailPanel.strategyNum": "{{num}} {{strategy}} 포함",
@@ -231,12 +233,18 @@
"source.local": "로컬 패키지 파일",
"source.marketplace": "마켓",
"task.clearAll": "모두 지우기",
+ "task.errorMsg.github": "이 플러그인을 자동으로 설치할 수 없었습니다.\nGitHub에서 설치하세요.",
+ "task.errorMsg.marketplace": "이 플러그인을 자동으로 설치할 수 없었습니다.\n마켓플레이스에서 설치하세요.",
+ "task.errorMsg.unknown": "이 플러그인을 설치할 수 없었습니다.\n플러그인 소스를 확인할 수 없습니다.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} 플러그인 설치 실패, 보려면 클릭하십시오.",
+ "task.installFromGithub": "GitHub에서 설치",
+ "task.installFromMarketplace": "마켓플레이스에서 설치",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} 플러그인 설치 실패",
"task.installing": "플러그인 설치 중.",
+ "task.installingHint": "설치 중... 몇 분 정도 걸릴 수 있습니다.",
"task.installingWithError": "{{installingLength}} 플러그인 설치, {{successLength}} 성공, {{errorLength}} 실패",
"task.installingWithSuccess": "{{installingLength}} 플러그인 설치, {{successLength}} 성공.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/ko-KR/workflow.json b/web/i18n/ko-KR/workflow.json
index b83afea149..24e8e634d3 100644
--- a/web/i18n/ko-KR/workflow.json
+++ b/web/i18n/ko-KR/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "워크플로 업데이트",
"error.startNodeRequired": "{{operation}} 전에 먼저 시작 노드를 추가해 주세요",
"errorMsg.authRequired": "인증이 필요합니다",
+ "errorMsg.configureModel": "모델을 구성하세요",
"errorMsg.fieldRequired": "{{field}}가 필요합니다",
"errorMsg.fields.code": "코드",
"errorMsg.fields.model": "모델",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "비전 변수",
"errorMsg.invalidJson": "{{field}}는 잘못된 JSON 입니다",
"errorMsg.invalidVariable": "잘못된 변수",
+ "errorMsg.modelPluginNotInstalled": "잘못된 변수입니다. 이 변수를 사용하려면 모델을 구성하세요.",
"errorMsg.noValidTool": "{{field}} 유효한 도구가 선택되지 않았습니다.",
"errorMsg.rerankModelRequired": "Rerank Model 을 켜기 전에 설정에서 모델이 성공적으로 구성되었는지 확인하십시오.",
"errorMsg.startNodeRequired": "{{operation}} 전에 먼저 시작 노드를 추가해 주세요",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "창 크기",
"nodes.common.outputVars": "출력 변수",
"nodes.common.pluginNotInstalled": "플러그인이 설치되지 않았습니다",
+ "nodes.common.pluginsNotInstalled": "{{count}}개의 플러그인이 설치되지 않았습니다",
"nodes.common.retry.maxRetries": "최대 재시도 횟수",
"nodes.common.retry.ms": "ms",
"nodes.common.retry.retries": "{{num}} 재시도",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "청크",
"nodes.knowledgeBase.chunksInputTip": "지식 기반 노드의 입력 변수는 Chunks입니다. 변수 유형은 선택된 청크 구조와 일치해야 하는 특정 JSON 스키마를 가진 객체입니다.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Chunks 변수는 필수입니다",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API Key 사용 불가",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "크레딧 소진",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "호환되지 않음",
"nodes.knowledgeBase.embeddingModelIsInvalid": "임베딩 모델이 유효하지 않습니다",
"nodes.knowledgeBase.embeddingModelIsRequired": "임베딩 모델이 필요합니다",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "임베딩 모델이 구성되지 않았습니다",
"nodes.knowledgeBase.indexMethodIsRequired": "인덱스 메서드가 필요합니다.",
+ "nodes.knowledgeBase.notConfigured": "구성되지 않음",
"nodes.knowledgeBase.rerankingModelIsInvalid": "재정렬 모델이 유효하지 않습니다",
"nodes.knowledgeBase.rerankingModelIsRequired": "재순위 모델이 필요합니다",
"nodes.knowledgeBase.retrievalSettingIsRequired": "검색 설정이 필요합니다.",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Jinja2 만 지원합니다",
"nodes.templateTransform.inputVars": "입력 변수",
"nodes.templateTransform.outputVars.output": "변환된 내용",
+ "nodes.tool.authorizationRequired": "인증 필요",
"nodes.tool.authorize": "권한 부여",
"nodes.tool.inputVars": "입력 변수",
"nodes.tool.insertPlaceholder1": "타이프하거나 누르세요",
@@ -1062,10 +1071,12 @@
"panel.change": "변경",
"panel.changeBlock": "노드 변경",
"panel.checklist": "체크리스트",
+ "panel.checklistDescription": "게시 전에 다음 문제를 해결하세요",
"panel.checklistResolved": "모든 문제가 해결되었습니다",
"panel.checklistTip": "게시하기 전에 모든 문제가 해결되었는지 확인하세요",
"panel.createdBy": "작성자 ",
"panel.goTo": "로 이동",
+ "panel.goToFix": "수정하러 가기",
"panel.helpLink": "도움말 센터",
"panel.maximize": "캔버스 전체 화면",
"panel.minimize": "전체 화면 종료",
diff --git a/web/i18n/nl-NL/app-debug.json b/web/i18n/nl-NL/app-debug.json
index b667cfb052..7552cb7cc9 100644
--- a/web/i18n/nl-NL/app-debug.json
+++ b/web/i18n/nl-NL/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "RUN",
"inputs.title": "Debug & Preview",
"inputs.userInputField": "User Input Field",
+ "manageModels": "Modellen beheren",
"modelConfig.modeType.chat": "Chat",
"modelConfig.modeType.completion": "Complete",
"modelConfig.model": "Model",
"modelConfig.setTone": "Set tone of responses",
"modelConfig.title": "Model and Parameters",
+ "noModelProviderConfigured": "Geen modelprovider geconfigureerd",
+ "noModelProviderConfiguredTip": "Installeer of configureer een modelprovider om te beginnen.",
+ "noModelSelected": "Geen model geselecteerd",
+ "noModelSelectedTip": "Configureer hierboven een model om door te gaan.",
"noResult": "Output will be displayed here.",
"notSetAPIKey.description": "The LLM provider key has not been set, and it needs to be set before debugging.",
"notSetAPIKey.settingBtn": "Go to settings",
diff --git a/web/i18n/nl-NL/common.json b/web/i18n/nl-NL/common.json
index 013f06b035..fb1b332a0c 100644
--- a/web/i18n/nl-NL/common.json
+++ b/web/i18n/nl-NL/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Unauthorized",
"modelProvider.buyQuota": "Buy Quota",
"modelProvider.callTimes": "Call times",
+ "modelProvider.card.aiCreditsInUse": "AI-tegoeden in gebruik",
+ "modelProvider.card.aiCreditsOption": "AI-tegoeden",
+ "modelProvider.card.apiKeyOption": "API-sleutel",
+ "modelProvider.card.apiKeyRequired": "API-sleutel vereist",
+ "modelProvider.card.apiKeyUnavailableFallback": "API-sleutel niet beschikbaar, nu worden AI-tegoeden gebruikt",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Controleer uw API-sleutelconfiguratie om terug te schakelen",
"modelProvider.card.buyQuota": "Buy Quota",
"modelProvider.card.callTimes": "Call times",
+ "modelProvider.card.creditsExhaustedDescription": "Verhaag uw abonnement of configureer een API-sleutel",
+ "modelProvider.card.creditsExhaustedFallback": "AI-tegoeden uitgeput, nu wordt API-sleutel gebruikt",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Verhoog uw abonnement om AI-tegoed prioriteit te hervatten.",
+ "modelProvider.card.creditsExhaustedMessage": "AI-tegoeden zijn uitgeput",
"modelProvider.card.modelAPI": "{{modelName}} models are using the API Key.",
- "modelProvider.card.modelNotSupported": "{{modelName}} models are not installed.",
- "modelProvider.card.modelSupported": "{{modelName}} models are using this quota.",
+ "modelProvider.card.modelNotSupported": "{{modelName}} niet geïnstalleerd",
+ "modelProvider.card.modelSupported": "{{modelName}} modellen gebruiken deze tegoeden.",
+ "modelProvider.card.noApiKeysDescription": "Voeg een API-sleutel toe om uw eigen modelgegevens te gebruiken.",
+ "modelProvider.card.noApiKeysFallback": "Geen API-sleutels, AI-tegoeden worden gebruikt",
+ "modelProvider.card.noApiKeysTitle": "Nog geen API-sleutels geconfigureerd",
+ "modelProvider.card.noAvailableUsage": "Geen beschikbaar gebruik",
"modelProvider.card.onTrial": "On Trial",
"modelProvider.card.paid": "Paid",
"modelProvider.card.priorityUse": "Priority use",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Remove API Key",
"modelProvider.card.tip": "Message Credits supports models from {{modelNames}}. Priority will be given to the paid quota. The free quota will be used after the paid quota is exhausted.",
"modelProvider.card.tokens": "Tokens",
+ "modelProvider.card.unavailable": "Niet beschikbaar",
+ "modelProvider.card.upgradePlan": "verhaag uw abonnement",
+ "modelProvider.card.usageLabel": "Gebruik",
+ "modelProvider.card.usagePriority": "Gebruiksprioriteit",
+ "modelProvider.card.usagePriorityTip": "Stel in welke resource als eerste wordt gebruikt bij het uitvoeren van modellen.",
"modelProvider.collapse": "Collapse",
"modelProvider.config": "Config",
"modelProvider.configLoadBalancing": "Config Load Balancing",
@@ -387,9 +406,11 @@
"modelProvider.model": "Model",
"modelProvider.modelAndParameters": "Model and Parameters",
"modelProvider.modelHasBeenDeprecated": "This model has been deprecated",
+ "modelProvider.modelSettings": "Modelinstellingen",
"modelProvider.models": "Models",
"modelProvider.modelsNum": "{{num}} Models",
"modelProvider.noModelFound": "No model found for {{model}}",
+ "modelProvider.noneConfigured": "Configureer een standaard systeemmodel om applicaties uit te voeren",
"modelProvider.notConfigured": "The system model has not yet been fully configured",
"modelProvider.parameters": "PARAMETERS",
"modelProvider.parametersInvalidRemoved": "Some parameters are invalid and have been removed",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Reset on {{date}}",
"modelProvider.searchModel": "Search model",
"modelProvider.selectModel": "Select your model",
+ "modelProvider.selector.aiCredits": "AI-tegoeden",
+ "modelProvider.selector.apiKeyUnavailable": "API-sleutel niet beschikbaar",
+ "modelProvider.selector.apiKeyUnavailableTip": "De API-sleutel is verwijderd. Configureer een nieuwe API-sleutel.",
+ "modelProvider.selector.configure": "Configureren",
+ "modelProvider.selector.configureRequired": "Configuratie vereist",
+ "modelProvider.selector.creditsExhausted": "Tegoeden uitgeput",
+ "modelProvider.selector.creditsExhaustedTip": "Uw AI-tegoeden zijn uitgeput. Verhoog uw abonnement of voeg een API-sleutel toe.",
+ "modelProvider.selector.disabled": "Uitgeschakeld",
+ "modelProvider.selector.discoverMoreInMarketplace": "Ontdek meer in de Marketplace",
"modelProvider.selector.emptySetting": "Please go to settings to configure",
"modelProvider.selector.emptyTip": "No available models",
+ "modelProvider.selector.fromMarketplace": "Vanuit de Marketplace",
+ "modelProvider.selector.incompatible": "Incompatibel",
+ "modelProvider.selector.incompatibleTip": "Dit model is niet beschikbaar in de huidige versie. Selecteer een ander beschikbaar model.",
+ "modelProvider.selector.install": "Installeren",
+ "modelProvider.selector.modelProviderSettings": "Modelproviderinstellingen",
+ "modelProvider.selector.noProviderConfigured": "Geen modelprovider geconfigureerd",
+ "modelProvider.selector.noProviderConfiguredDesc": "Blader in de Marketplace om er een te installeren, of configureer providers in de instellingen.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Alleen compatibele modellen worden weergegeven",
"modelProvider.selector.rerankTip": "Please set up the Rerank model",
"modelProvider.selector.tip": "This model has been removed. Please add a model or select another model.",
"modelProvider.setupModelFirst": "Please set up your model first",
diff --git a/web/i18n/nl-NL/plugin.json b/web/i18n/nl-NL/plugin.json
index c7f091a442..4e0301b5f5 100644
--- a/web/i18n/nl-NL/plugin.json
+++ b/web/i18n/nl-NL/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Remove plugin",
"action.deleteContentLeft": "Would you like to remove ",
"action.deleteContentRight": " plugin?",
+ "action.deleteSuccess": "Plugin succesvol verwijderd",
"action.pluginInfo": "Plugin info",
"action.usedInApps": "This plugin is being used in {{num}} apps.",
"allCategories": "All Categories",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Install",
"detailPanel.operation.remove": "Remove",
"detailPanel.operation.update": "Update",
+ "detailPanel.operation.updateTooltip": "Werk bij voor toegang tot de nieuwste modellen.",
"detailPanel.operation.viewDetail": "View Detail",
"detailPanel.serviceOk": "Service OK",
"detailPanel.strategyNum": "{{num}} {{strategy}} INCLUDED",
@@ -231,12 +233,18 @@
"source.local": "Local Package File",
"source.marketplace": "Marketplace",
"task.clearAll": "Clear all",
+ "task.errorMsg.github": "Deze plugin is niet automatisch geïnstalleerd.\nInstalleer het vanuit GitHub.",
+ "task.errorMsg.marketplace": "Deze plugin is niet automatisch geïnstalleerd.\nInstalleer het vanuit de Marketplace.",
+ "task.errorMsg.unknown": "Deze plugin is niet geïnstalleerd.\nDe pluginbron kon niet worden geïdentificeerd.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} plugins failed to install, click to view",
+ "task.installFromGithub": "Installeren vanuit GitHub",
+ "task.installFromMarketplace": "Installeren vanuit de Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} plugins failed to install",
"task.installing": "Installing plugins",
+ "task.installingHint": "Installeren... Dit kan enkele minuten duren.",
"task.installingWithError": "Installing {{installingLength}} plugins, {{successLength}} success, {{errorLength}} failed",
"task.installingWithSuccess": "Installing {{installingLength}} plugins, {{successLength}} success.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/nl-NL/workflow.json b/web/i18n/nl-NL/workflow.json
index 35555d0e7b..891df72387 100644
--- a/web/i18n/nl-NL/workflow.json
+++ b/web/i18n/nl-NL/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "updating workflow",
"error.startNodeRequired": "Please add a start node first before {{operation}}",
"errorMsg.authRequired": "Authorization is required",
+ "errorMsg.configureModel": "Configureer een model",
"errorMsg.fieldRequired": "{{field}} is required",
"errorMsg.fields.code": "Code",
"errorMsg.fields.model": "Model",
@@ -313,7 +314,8 @@
"errorMsg.fields.variableValue": "Variable Value",
"errorMsg.fields.visionVariable": "Vision Variable",
"errorMsg.invalidJson": "{{field}} is invalid JSON",
- "errorMsg.invalidVariable": "Invalid variable",
+ "errorMsg.invalidVariable": "Ongeldige variabele. Selecteer een bestaande variabele.",
+ "errorMsg.modelPluginNotInstalled": "Ongeldige variabele. Configureer een model om deze variabele in te schakelen.",
"errorMsg.noValidTool": "{{field}} no valid tool selected",
"errorMsg.rerankModelRequired": "A configured Rerank Model is required",
"errorMsg.startNodeRequired": "Please add a start node first before {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Window Size",
"nodes.common.outputVars": "Output Variables",
"nodes.common.pluginNotInstalled": "Plugin is not installed",
+ "nodes.common.pluginsNotInstalled": "{{count}} plugins niet geïnstalleerd",
"nodes.common.retry.maxRetries": "max retries",
"nodes.common.retry.ms": "ms",
"nodes.common.retry.retries": "{{num}} Retries",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Chunks",
"nodes.knowledgeBase.chunksInputTip": "The input variable of the knowledge base node is Chunks. The variable type is an object with a specific JSON Schema which must be consistent with the selected chunk structure.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Chunks variable is required",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API-sleutel niet beschikbaar",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Tegoeden uitgeput",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Incompatibel",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Embedding model is invalid",
"nodes.knowledgeBase.embeddingModelIsRequired": "Embedding model is required",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Inbeddingsmodel niet geconfigureerd",
"nodes.knowledgeBase.indexMethodIsRequired": "Index method is required",
+ "nodes.knowledgeBase.notConfigured": "Niet geconfigureerd",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Reranking model is invalid",
"nodes.knowledgeBase.rerankingModelIsRequired": "Reranking model is required",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Retrieval setting is required",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Only supports Jinja2",
"nodes.templateTransform.inputVars": "Input Variables",
"nodes.templateTransform.outputVars.output": "Transformed content",
+ "nodes.tool.authorizationRequired": "Autorisatie vereist",
"nodes.tool.authorize": "Authorize",
"nodes.tool.inputVars": "Input Variables",
"nodes.tool.insertPlaceholder1": "Type or press",
@@ -1062,10 +1071,12 @@
"panel.change": "Change",
"panel.changeBlock": "Change Node",
"panel.checklist": "Checklist",
+ "panel.checklistDescription": "Los de volgende problemen op vóór het publiceren",
"panel.checklistResolved": "All issues are resolved",
"panel.checklistTip": "Make sure all issues are resolved before publishing",
"panel.createdBy": "Created By ",
"panel.goTo": "Go to",
+ "panel.goToFix": "Ga naar repareren",
"panel.helpLink": "View Docs",
"panel.maximize": "Maximize Canvas",
"panel.minimize": "Exit Full Screen",
diff --git a/web/i18n/pl-PL/app-debug.json b/web/i18n/pl-PL/app-debug.json
index 4d7c2bf2e5..d708c997e9 100644
--- a/web/i18n/pl-PL/app-debug.json
+++ b/web/i18n/pl-PL/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "URUCHOM",
"inputs.title": "Debugowanie i podgląd",
"inputs.userInputField": "Pole wejściowe użytkownika",
+ "manageModels": "Zarządzaj modelami",
"modelConfig.modeType.chat": "Czat",
"modelConfig.modeType.completion": "Uzupełnienie",
"modelConfig.model": "Model",
"modelConfig.setTone": "Ustaw ton odpowiedzi",
"modelConfig.title": "Model i parametry",
+ "noModelProviderConfigured": "Nie skonfigurowano dostawcy modeli",
+ "noModelProviderConfiguredTip": "Zainstaluj lub skonfiguruj dostawcę modeli, aby rozpocząć.",
+ "noModelSelected": "Nie wybrano modelu",
+ "noModelSelectedTip": "skonfiguruj model powyżej, aby kontynuować.",
"noResult": "W tym miejscu zostaną wyświetlone dane wyjściowe.",
"notSetAPIKey.description": "Klucz dostawcy LLM nie został ustawiony, musi zostać ustawiony przed debugowaniem.",
"notSetAPIKey.settingBtn": "Przejdź do ustawień",
diff --git a/web/i18n/pl-PL/common.json b/web/i18n/pl-PL/common.json
index 029e9dd660..130950a57c 100644
--- a/web/i18n/pl-PL/common.json
+++ b/web/i18n/pl-PL/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Nieautoryzowany",
"modelProvider.buyQuota": "Kup limit",
"modelProvider.callTimes": "Czasy wywołań",
+ "modelProvider.card.aiCreditsInUse": "Używane AI credits",
+ "modelProvider.card.aiCreditsOption": "AI credits",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "Wymagany klucz API",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key niedostępny, używane są AI credits",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Sprawdź konfigurację klucza API, aby przełączyć z powrotem",
"modelProvider.card.buyQuota": "Kup limit",
"modelProvider.card.callTimes": "Czasy wywołań",
+ "modelProvider.card.creditsExhaustedDescription": "Proszę ulepszyć swój plan lub skonfigurować klucz API",
+ "modelProvider.card.creditsExhaustedFallback": "AI credits wyczerpane, używany jest API Key",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Ulepsz swój plan , aby przywrócić priorytet AI credits.",
+ "modelProvider.card.creditsExhaustedMessage": "AI credits zostały wyczerpane",
"modelProvider.card.modelAPI": "Modele {{modelName}} używają klucza API.",
"modelProvider.card.modelNotSupported": "Modele {{modelName}} nie są zainstalowane.",
"modelProvider.card.modelSupported": "Modele {{modelName}} używają tego limitu.",
+ "modelProvider.card.noApiKeysDescription": "Dodaj klucz API, aby zacząć korzystać z własnych poświadczeń modelu.",
+ "modelProvider.card.noApiKeysFallback": "Brak kluczy API, używane są AI credits",
+ "modelProvider.card.noApiKeysTitle": "Nie skonfigurowano jeszcze kluczy API",
+ "modelProvider.card.noAvailableUsage": "Brak dostępnego użycia",
"modelProvider.card.onTrial": "Na próbę",
"modelProvider.card.paid": "Płatny",
"modelProvider.card.priorityUse": "Używanie z priorytetem",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Usuń klucz API",
"modelProvider.card.tip": "Kredyty wiadomości obsługują modele od {{modelNames}}. Priorytet zostanie nadany płatnemu limitowi. Darmowy limit zostanie użyty po wyczerpaniu płatnego limitu.",
"modelProvider.card.tokens": "Tokeny",
+ "modelProvider.card.unavailable": "Niedostępne",
+ "modelProvider.card.upgradePlan": "ulepsz swój plan",
+ "modelProvider.card.usageLabel": "Użycie",
+ "modelProvider.card.usagePriority": "Priorytet użycia",
+ "modelProvider.card.usagePriorityTip": "Ustaw, który zasób ma być używany jako pierwszy przy uruchamianiu modeli.",
"modelProvider.collapse": "Zwiń",
"modelProvider.config": "Konfiguracja",
"modelProvider.configLoadBalancing": "Równoważenie obciążenia konfiguracji",
@@ -387,9 +406,11 @@
"modelProvider.model": "Model",
"modelProvider.modelAndParameters": "Model i parametry",
"modelProvider.modelHasBeenDeprecated": "Ten model jest przestarzały",
+ "modelProvider.modelSettings": "Ustawienia modelu",
"modelProvider.models": "Modele",
"modelProvider.modelsNum": "{{num}} Modele",
"modelProvider.noModelFound": "Nie znaleziono modelu dla {{model}}",
+ "modelProvider.noneConfigured": "Skonfiguruj domyślny model systemowy, aby uruchamiać aplikacje",
"modelProvider.notConfigured": "Systemowy model nie został jeszcze w pełni skonfigurowany, co może skutkować niedostępnością niektórych funkcji.",
"modelProvider.parameters": "PARAMETRY",
"modelProvider.parametersInvalidRemoved": "Niektóre parametry są nieprawidłowe i zostały usunięte.",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Reset {{date}}",
"modelProvider.searchModel": "Model wyszukiwania",
"modelProvider.selectModel": "Wybierz swój model",
+ "modelProvider.selector.aiCredits": "AI credits",
+ "modelProvider.selector.apiKeyUnavailable": "API Key niedostępny",
+ "modelProvider.selector.apiKeyUnavailableTip": "Klucz API został usunięty. Proszę skonfigurować nowy klucz API.",
+ "modelProvider.selector.configure": "Konfiguruj",
+ "modelProvider.selector.configureRequired": "Wymagana konfiguracja",
+ "modelProvider.selector.creditsExhausted": "Kredyty wyczerpane",
+ "modelProvider.selector.creditsExhaustedTip": "Twoje AI credits zostały wyczerpane. Proszę ulepszyć swój plan lub dodać klucz API.",
+ "modelProvider.selector.disabled": "Wyłączony",
+ "modelProvider.selector.discoverMoreInMarketplace": "Odkryj więcej w Marketplace",
"modelProvider.selector.emptySetting": "Przejdź do ustawień, aby skonfigurować",
"modelProvider.selector.emptyTip": "Brak dostępnych modeli",
+ "modelProvider.selector.fromMarketplace": "Z Marketplace",
+ "modelProvider.selector.incompatible": "Niekompatybilny",
+ "modelProvider.selector.incompatibleTip": "Ten model nie jest dostępny w bieżącej wersji. Proszę wybrać inny dostępny model.",
+ "modelProvider.selector.install": "Zainstaluj",
+ "modelProvider.selector.modelProviderSettings": "Ustawienia dostawcy modeli",
+ "modelProvider.selector.noProviderConfigured": "Nie skonfigurowano dostawcy modeli",
+ "modelProvider.selector.noProviderConfiguredDesc": "Przeglądaj Marketplace, aby zainstalować dostawcę, lub skonfiguruj dostawców w ustawieniach.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Wyświetlane są tylko kompatybilne modele",
"modelProvider.selector.rerankTip": "Proszę skonfigurować model ponownego rankingu",
"modelProvider.selector.tip": "Ten model został usunięty. Proszę dodać model lub wybrać inny model.",
"modelProvider.setupModelFirst": "Proszę najpierw skonfigurować swój model",
diff --git a/web/i18n/pl-PL/plugin.json b/web/i18n/pl-PL/plugin.json
index abe94610dc..88ac549968 100644
--- a/web/i18n/pl-PL/plugin.json
+++ b/web/i18n/pl-PL/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Usuń wtyczkę",
"action.deleteContentLeft": "Czy chcesz usunąć",
"action.deleteContentRight": "wtyczka?",
+ "action.deleteSuccess": "Wtyczka została pomyślnie usunięta",
"action.pluginInfo": "Informacje o wtyczce",
"action.usedInApps": "Ta wtyczka jest używana w aplikacjach {{num}}.",
"allCategories": "Wszystkie kategorie",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Instalować",
"detailPanel.operation.remove": "Usunąć",
"detailPanel.operation.update": "Aktualizacja",
+ "detailPanel.operation.updateTooltip": "Zaktualizuj, aby uzyskać dostęp do najnowszych modeli.",
"detailPanel.operation.viewDetail": "Pokaż szczegóły",
"detailPanel.serviceOk": "Serwis OK",
"detailPanel.strategyNum": "{{num}} {{strategy}} ZAWARTE",
@@ -231,12 +233,18 @@
"source.local": "Lokalny plik pakietu",
"source.marketplace": "Rynek",
"task.clearAll": "Wyczyść wszystko",
+ "task.errorMsg.github": "Nie udało się automatycznie zainstalować tej wtyczki.\nProszę zainstalować ją z GitHub.",
+ "task.errorMsg.marketplace": "Nie udało się automatycznie zainstalować tej wtyczki.\nProszę zainstalować ją z Marketplace.",
+ "task.errorMsg.unknown": "Nie udało się zainstalować tej wtyczki.\nNie można zidentyfikować źródła wtyczki.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "Nie udało się zainstalować wtyczek {{errorLength}}, kliknij, aby wyświetlić",
+ "task.installFromGithub": "Zainstaluj z GitHub",
+ "task.installFromMarketplace": "Zainstaluj z Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "Nie udało się zainstalować wtyczek {{errorLength}}",
"task.installing": "Instalowanie wtyczek.",
+ "task.installingHint": "Instalowanie... To może potrwać kilka minut.",
"task.installingWithError": "Instalacja wtyczek {{installingLength}}, {{successLength}} powodzenie, {{errorLength}} niepowodzenie",
"task.installingWithSuccess": "Instalacja wtyczek {{installingLength}}, {{successLength}} powodzenie.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/pl-PL/workflow.json b/web/i18n/pl-PL/workflow.json
index 52514fe6b7..8aad8e0b71 100644
--- a/web/i18n/pl-PL/workflow.json
+++ b/web/i18n/pl-PL/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "aktualizowanie przepływu pracy",
"error.startNodeRequired": "Najpierw dodaj węzeł początkowy przed {{operation}}",
"errorMsg.authRequired": "Wymagana autoryzacja",
+ "errorMsg.configureModel": "Skonfiguruj model",
"errorMsg.fieldRequired": "{{field}} jest wymagane",
"errorMsg.fields.code": "Kod",
"errorMsg.fields.model": "Model",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Zmienna wizji",
"errorMsg.invalidJson": "{{field}} jest nieprawidłowym JSON-em",
"errorMsg.invalidVariable": "Nieprawidłowa zmienna",
+ "errorMsg.modelPluginNotInstalled": "Nieprawidłowa zmienna. Skonfiguruj model, aby włączyć tę zmienną.",
"errorMsg.noValidTool": "{{field}} nie wybrano prawidłowego narzędzia",
"errorMsg.rerankModelRequired": "Przed włączeniem Rerank Model upewnij się, że model został pomyślnie skonfigurowany w ustawieniach.",
"errorMsg.startNodeRequired": "Najpierw dodaj węzeł początkowy przed {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Rozmiar okna",
"nodes.common.outputVars": "Zmienne wyjściowe",
"nodes.common.pluginNotInstalled": "Wtyczka nie jest zainstalowana",
+ "nodes.common.pluginsNotInstalled": "{{count}} wtyczek niezainstalowanych",
"nodes.common.retry.maxRetries": "Maksymalna liczba ponownych prób",
"nodes.common.retry.ms": "Ms",
"nodes.common.retry.retries": "{{num}} Ponownych prób",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Kawałki",
"nodes.knowledgeBase.chunksInputTip": "Zmienna wejściowa węzła bazy wiedzy to Chunks. Typ zmiennej to obiekt z określonym schematem JSON, który musi być zgodny z wybraną strukturą chunk.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Wymagana jest zmienna Chunks",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "Klucz API niedostępny",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Kredyty wyczerpane",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Niekompatybilny",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Model osadzania jest nieprawidłowy",
"nodes.knowledgeBase.embeddingModelIsRequired": "Wymagany jest model osadzania",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Model embeddingu nie jest skonfigurowany",
"nodes.knowledgeBase.indexMethodIsRequired": "Metoda indeksowa jest wymagana",
+ "nodes.knowledgeBase.notConfigured": "Nieskonfigurowany",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Model ponownego rankingowania jest nieprawidłowy",
"nodes.knowledgeBase.rerankingModelIsRequired": "Wymagany jest model ponownego rankingu",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Wymagane jest ustawienie pobierania",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Obsługuje tylko Jinja2",
"nodes.templateTransform.inputVars": "Zmienne wejściowe",
"nodes.templateTransform.outputVars.output": "Przekształcona treść",
+ "nodes.tool.authorizationRequired": "Wymagana autoryzacja",
"nodes.tool.authorize": "Autoryzuj",
"nodes.tool.inputVars": "Zmienne wejściowe",
"nodes.tool.insertPlaceholder1": "Wpisz lub naciśnij",
@@ -1062,10 +1071,12 @@
"panel.change": "Zmień",
"panel.changeBlock": "Zmień węzeł",
"panel.checklist": "Lista kontrolna",
+ "panel.checklistDescription": "Rozwiąż poniższe problemy przed opublikowaniem",
"panel.checklistResolved": "Wszystkie problemy zostały rozwiązane",
"panel.checklistTip": "Upewnij się, że wszystkie problemy zostały rozwiązane przed opublikowaniem",
"panel.createdBy": "Stworzone przez ",
"panel.goTo": "Idź do",
+ "panel.goToFix": "Przejdź do naprawy",
"panel.helpLink": "Pomoc",
"panel.maximize": "Maksymalizuj płótno",
"panel.minimize": "Wyjdź z trybu pełnoekranowego",
diff --git a/web/i18n/pt-BR/app-debug.json b/web/i18n/pt-BR/app-debug.json
index 5b0b4c9969..3b1a0da424 100644
--- a/web/i18n/pt-BR/app-debug.json
+++ b/web/i18n/pt-BR/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "EXECUTAR",
"inputs.title": "Depuração e Visualização",
"inputs.userInputField": "Campo de Entrada do Usuário",
+ "manageModels": "Gerenciar modelos",
"modelConfig.modeType.chat": "Chat",
"modelConfig.modeType.completion": "Completar",
"modelConfig.model": "Modelo",
"modelConfig.setTone": "Definir tom das respostas",
"modelConfig.title": "Modelo e Parâmetros",
+ "noModelProviderConfigured": "Nenhum provedor de modelo configurado",
+ "noModelProviderConfiguredTip": "Instale ou configure um provedor de modelo para começar.",
+ "noModelSelected": "Nenhum modelo selecionado",
+ "noModelSelectedTip": "Configure um modelo acima para continuar.",
"noResult": "A saída será exibida aqui.",
"notSetAPIKey.description": "A chave do provedor LLM não foi definida e precisa ser definida antes da depuração.",
"notSetAPIKey.settingBtn": "Ir para configurações",
diff --git a/web/i18n/pt-BR/common.json b/web/i18n/pt-BR/common.json
index 0f2106b1eb..6840bb964b 100644
--- a/web/i18n/pt-BR/common.json
+++ b/web/i18n/pt-BR/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Não autorizado",
"modelProvider.buyQuota": "Comprar Quota",
"modelProvider.callTimes": "Chamadas",
+ "modelProvider.card.aiCreditsInUse": "AI credits em uso",
+ "modelProvider.card.aiCreditsOption": "AI credits",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "API Key necessária",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key indisponível, usando AI credits",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Verifique a configuração da sua API Key para voltar a usá-la",
"modelProvider.card.buyQuota": "Comprar Quota",
"modelProvider.card.callTimes": "Chamadas",
+ "modelProvider.card.creditsExhaustedDescription": "Por favor, atualize seu plano ou configure uma API Key",
+ "modelProvider.card.creditsExhaustedFallback": "AI credits esgotados, usando API Key",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Atualize seu plano para retomar a prioridade de AI credits.",
+ "modelProvider.card.creditsExhaustedMessage": "AI credits foram esgotados",
"modelProvider.card.modelAPI": "Os modelos {{modelName}} estão usando a Chave API.",
"modelProvider.card.modelNotSupported": "Os modelos {{modelName}} não estão instalados.",
"modelProvider.card.modelSupported": "Os modelos {{modelName}} estão usando esta cota.",
+ "modelProvider.card.noApiKeysDescription": "Adicione uma API Key para usar suas próprias credenciais de modelo.",
+ "modelProvider.card.noApiKeysFallback": "Sem API Keys, usando AI credits",
+ "modelProvider.card.noApiKeysTitle": "Nenhuma API Key configurada",
+ "modelProvider.card.noAvailableUsage": "Sem uso disponível",
"modelProvider.card.onTrial": "Em Teste",
"modelProvider.card.paid": "Pago",
"modelProvider.card.priorityUse": "Uso prioritário",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Remover Chave da API",
"modelProvider.card.tip": "Créditos de mensagens suportam modelos de {{modelNames}}. A prioridade será dada à quota paga. A quota gratuita será usada após a quota paga ser esgotada.",
"modelProvider.card.tokens": "Tokens",
+ "modelProvider.card.unavailable": "Indisponível",
+ "modelProvider.card.upgradePlan": "atualize seu plano",
+ "modelProvider.card.usageLabel": "Uso",
+ "modelProvider.card.usagePriority": "Prioridade de uso",
+ "modelProvider.card.usagePriorityTip": "Defina qual recurso usar primeiro ao executar modelos.",
"modelProvider.collapse": "Recolher",
"modelProvider.config": "Configuração",
"modelProvider.configLoadBalancing": "Balanceamento de carga de configuração",
@@ -387,9 +406,11 @@
"modelProvider.model": "Modelo",
"modelProvider.modelAndParameters": "Modelo e Parâmetros",
"modelProvider.modelHasBeenDeprecated": "Este modelo foi preterido",
+ "modelProvider.modelSettings": "Configurações de modelo",
"modelProvider.models": "Modelos",
"modelProvider.modelsNum": "{{num}} Modelos",
"modelProvider.noModelFound": "Nenhum modelo encontrado para {{model}}",
+ "modelProvider.noneConfigured": "Configure um modelo de sistema padrão para executar aplicações",
"modelProvider.notConfigured": "O modelo do sistema ainda não foi totalmente configurado e algumas funções podem estar indisponíveis.",
"modelProvider.parameters": "PARÂMETROS",
"modelProvider.parametersInvalidRemoved": "Alguns parâmetros são inválidos e foram removidos",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Redefinir em {{date}}",
"modelProvider.searchModel": "Modelo de pesquisa",
"modelProvider.selectModel": "Selecione seu modelo",
+ "modelProvider.selector.aiCredits": "AI credits",
+ "modelProvider.selector.apiKeyUnavailable": "API Key indisponível",
+ "modelProvider.selector.apiKeyUnavailableTip": "A API Key foi removida. Por favor, configure uma nova API Key.",
+ "modelProvider.selector.configure": "Configurar",
+ "modelProvider.selector.configureRequired": "Configuração necessária",
+ "modelProvider.selector.creditsExhausted": "Créditos esgotados",
+ "modelProvider.selector.creditsExhaustedTip": "Seus AI credits foram esgotados. Por favor, atualize seu plano ou adicione uma API Key.",
+ "modelProvider.selector.disabled": "Desativado",
+ "modelProvider.selector.discoverMoreInMarketplace": "Descubra mais no Marketplace",
"modelProvider.selector.emptySetting": "Por favor, vá para configurações para configurar",
"modelProvider.selector.emptyTip": "Nenhum modelo disponível",
+ "modelProvider.selector.fromMarketplace": "Do Marketplace",
+ "modelProvider.selector.incompatible": "Incompatível",
+ "modelProvider.selector.incompatibleTip": "Este modelo não está disponível na versão atual. Por favor, selecione outro modelo disponível.",
+ "modelProvider.selector.install": "Instalar",
+ "modelProvider.selector.modelProviderSettings": "Configurações do provedor de modelo",
+ "modelProvider.selector.noProviderConfigured": "Nenhum provedor de modelo configurado",
+ "modelProvider.selector.noProviderConfiguredDesc": "Navegue pelo Marketplace para instalar um, ou configure provedores nas configurações.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Apenas modelos compatíveis são exibidos",
"modelProvider.selector.rerankTip": "Por favor, configure o modelo de reordenação",
"modelProvider.selector.tip": "Este modelo foi removido. Adicione um modelo ou selecione outro modelo.",
"modelProvider.setupModelFirst": "Por favor, configure seu modelo primeiro",
diff --git a/web/i18n/pt-BR/plugin.json b/web/i18n/pt-BR/plugin.json
index c9297b5840..d5d218c8b6 100644
--- a/web/i18n/pt-BR/plugin.json
+++ b/web/i18n/pt-BR/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Remover plugin",
"action.deleteContentLeft": "Gostaria de remover",
"action.deleteContentRight": "plugin?",
+ "action.deleteSuccess": "Plugin removido com sucesso",
"action.pluginInfo": "Informações do plugin",
"action.usedInApps": "Este plugin está sendo usado em aplicativos {{num}}.",
"allCategories": "Todas as categorias",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Instalar",
"detailPanel.operation.remove": "Retirar",
"detailPanel.operation.update": "Atualização",
+ "detailPanel.operation.updateTooltip": "Atualize para acessar os modelos mais recentes.",
"detailPanel.operation.viewDetail": "Ver detalhes",
"detailPanel.serviceOk": "Serviço OK",
"detailPanel.strategyNum": "{{num}} {{strategy}} INCLUSO",
@@ -231,12 +233,18 @@
"source.local": "Arquivo de pacote local",
"source.marketplace": "Mercado",
"task.clearAll": "Apagar tudo",
+ "task.errorMsg.github": "Este plugin não pôde ser instalado automaticamente.\nPor favor, instale-o pelo GitHub.",
+ "task.errorMsg.marketplace": "Este plugin não pôde ser instalado automaticamente.\nPor favor, instale-o pelo Marketplace.",
+ "task.errorMsg.unknown": "Este plugin não pôde ser instalado.\nNão foi possível identificar a origem do plugin.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} plugins falha ao instalar, clique para ver",
+ "task.installFromGithub": "Instalar pelo GitHub",
+ "task.installFromMarketplace": "Instalar pelo Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "Falha na instalação dos plug-ins {{errorLength}}",
"task.installing": "Instalando plugins.",
+ "task.installingHint": "Instalando... Isso pode levar alguns minutos.",
"task.installingWithError": "Instalando plug-ins {{installingLength}}, {{successLength}} sucesso, {{errorLength}} falhou",
"task.installingWithSuccess": "Instalando plugins {{installingLength}}, {{successLength}} sucesso.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/pt-BR/workflow.json b/web/i18n/pt-BR/workflow.json
index 3edab361bb..dc986df82c 100644
--- a/web/i18n/pt-BR/workflow.json
+++ b/web/i18n/pt-BR/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "atualizando fluxo de trabalho",
"error.startNodeRequired": "Por favor, adicione um nó inicial antes de {{operation}}",
"errorMsg.authRequired": "Autorização é necessária",
+ "errorMsg.configureModel": "Configure um modelo",
"errorMsg.fieldRequired": "{{field}} é obrigatório",
"errorMsg.fields.code": "Código",
"errorMsg.fields.model": "Modelo",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Variável de visão",
"errorMsg.invalidJson": "{{field}} é um JSON inválido",
"errorMsg.invalidVariable": "Variável inválida",
+ "errorMsg.modelPluginNotInstalled": "Variável inválida. Configure um modelo para habilitar esta variável.",
"errorMsg.noValidTool": "{{field}} nenhuma ferramenta válida selecionada",
"errorMsg.rerankModelRequired": "Antes de ativar o modelo de reclassificação, confirme se o modelo foi configurado com sucesso nas configurações.",
"errorMsg.startNodeRequired": "Por favor, adicione um nó inicial antes de {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Tamanho da janela",
"nodes.common.outputVars": "Variáveis de saída",
"nodes.common.pluginNotInstalled": "O plugin não está instalado",
+ "nodes.common.pluginsNotInstalled": "{{count}} plugins não instalados",
"nodes.common.retry.maxRetries": "Máximo de tentativas",
"nodes.common.retry.ms": "ms",
"nodes.common.retry.retries": "{{num}} Tentativas",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Pedaços",
"nodes.knowledgeBase.chunksInputTip": "A variável de entrada do nó da base de conhecimento é Chunks. O tipo da variável é um objeto com um esquema JSON específico que deve ser consistente com a estrutura de chunk selecionada.",
"nodes.knowledgeBase.chunksVariableIsRequired": "A variável 'chunks' é obrigatória",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API Key indisponível",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Créditos esgotados",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Incompatível",
"nodes.knowledgeBase.embeddingModelIsInvalid": "O modelo de incorporação é inválido",
"nodes.knowledgeBase.embeddingModelIsRequired": "Modelo de incorporação é necessário",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Modelo de embedding não configurado",
"nodes.knowledgeBase.indexMethodIsRequired": "O método de índice é necessário",
+ "nodes.knowledgeBase.notConfigured": "Não configurado",
"nodes.knowledgeBase.rerankingModelIsInvalid": "O modelo de reclassificação é inválido",
"nodes.knowledgeBase.rerankingModelIsRequired": "Um modelo de reclassificação é necessário",
"nodes.knowledgeBase.retrievalSettingIsRequired": "A configuração de recuperação é necessária",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Suporta apenas Jinja2",
"nodes.templateTransform.inputVars": "Variáveis de entrada",
"nodes.templateTransform.outputVars.output": "Conteúdo transformado",
+ "nodes.tool.authorizationRequired": "Autorização necessária",
"nodes.tool.authorize": "Autorizar",
"nodes.tool.inputVars": "Variáveis de entrada",
"nodes.tool.insertPlaceholder1": "Digite ou pressione",
@@ -1062,10 +1071,12 @@
"panel.change": "Mudar",
"panel.changeBlock": "Mudar Nó",
"panel.checklist": "Lista de verificação",
+ "panel.checklistDescription": "Resolva os seguintes problemas antes de publicar",
"panel.checklistResolved": "Todos os problemas foram resolvidos",
"panel.checklistTip": "Certifique-se de que todos os problemas foram resolvidos antes de publicar",
"panel.createdBy": "Criado por ",
"panel.goTo": "Ir para",
+ "panel.goToFix": "Ir para correção",
"panel.helpLink": "Ajuda",
"panel.maximize": "Maximize Canvas",
"panel.minimize": "Sair do Modo Tela Cheia",
diff --git a/web/i18n/ro-RO/app-debug.json b/web/i18n/ro-RO/app-debug.json
index 6245ca680d..d2b8294804 100644
--- a/web/i18n/ro-RO/app-debug.json
+++ b/web/i18n/ro-RO/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "RULARE",
"inputs.title": "Depanare și previzualizare",
"inputs.userInputField": "Câmp de intrare utilizator",
+ "manageModels": "Gestionare modele",
"modelConfig.modeType.chat": "Chat",
"modelConfig.modeType.completion": "Completare",
"modelConfig.model": "Model",
"modelConfig.setTone": "Setați tonul răspunsurilor",
"modelConfig.title": "Model și Parametri",
+ "noModelProviderConfigured": "Niciun furnizor de modele configurat",
+ "noModelProviderConfiguredTip": "Instalați sau configurați un furnizor de modele pentru a începe.",
+ "noModelSelected": "Niciun model selectat",
+ "noModelSelectedTip": "configurați un model mai sus pentru a continua.",
"noResult": "Ieșirea va fi afișată aici.",
"notSetAPIKey.description": "Cheia furnizorului LLM nu a fost setată și trebuie să fie setată înainte de depanare.",
"notSetAPIKey.settingBtn": "Du-te la setări",
diff --git a/web/i18n/ro-RO/common.json b/web/i18n/ro-RO/common.json
index 8fdb09b3c1..306439768b 100644
--- a/web/i18n/ro-RO/common.json
+++ b/web/i18n/ro-RO/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Neautorizat",
"modelProvider.buyQuota": "Cumpără cotă",
"modelProvider.callTimes": "Apeluri",
+ "modelProvider.card.aiCreditsInUse": "AI credits în uz",
+ "modelProvider.card.aiCreditsOption": "AI credits",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "API key necesar",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key indisponibil, se utilizează AI credits",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Verificați configurația API key pentru a reveni",
"modelProvider.card.buyQuota": "Cumpără cotă",
"modelProvider.card.callTimes": "Apeluri",
+ "modelProvider.card.creditsExhaustedDescription": "Vă rugăm să faceți upgrade la plan sau să configurați un API key",
+ "modelProvider.card.creditsExhaustedFallback": "AI credits epuizate, se utilizează API Key",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Faceți upgrade la plan pentru a relua prioritatea AI credits.",
+ "modelProvider.card.creditsExhaustedMessage": "AI credits au fost epuizate",
"modelProvider.card.modelAPI": "Modelele {{modelName}} folosesc cheia API.",
"modelProvider.card.modelNotSupported": "Modelele {{modelName}} nu sunt instalate.",
"modelProvider.card.modelSupported": "Modelele {{modelName}} folosesc această cotă.",
+ "modelProvider.card.noApiKeysDescription": "Adăugați un API key pentru a începe să utilizați propriile credențiale de model.",
+ "modelProvider.card.noApiKeysFallback": "Fără API key-uri, se utilizează AI credits",
+ "modelProvider.card.noApiKeysTitle": "Niciun API key configurat încă",
+ "modelProvider.card.noAvailableUsage": "Nicio utilizare disponibilă",
"modelProvider.card.onTrial": "În probă",
"modelProvider.card.paid": "Plătit",
"modelProvider.card.priorityUse": "Utilizare prioritară",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Elimină cheia API",
"modelProvider.card.tip": "Creditele de mesaje acceptă modele de la {{modelNames}}. Prioritate va fi acordată cotei plătite. Cota gratuită va fi utilizată după epuizarea cotei plătite.",
"modelProvider.card.tokens": "Jetoane",
+ "modelProvider.card.unavailable": "Indisponibil",
+ "modelProvider.card.upgradePlan": "faceți upgrade la plan",
+ "modelProvider.card.usageLabel": "Utilizare",
+ "modelProvider.card.usagePriority": "Prioritate de utilizare",
+ "modelProvider.card.usagePriorityTip": "Setați ce resursă să fie utilizată prima la rularea modelelor.",
"modelProvider.collapse": "Restrânge",
"modelProvider.config": "Configurare",
"modelProvider.configLoadBalancing": "Echilibrarea încărcării de configurare",
@@ -387,9 +406,11 @@
"modelProvider.model": "Model",
"modelProvider.modelAndParameters": "Model și parametri",
"modelProvider.modelHasBeenDeprecated": "Acest model a fost depreciat",
+ "modelProvider.modelSettings": "Setări model",
"modelProvider.models": "Modele",
"modelProvider.modelsNum": "{{num}} Modele",
"modelProvider.noModelFound": "Nu a fost găsit niciun model pentru {{model}}",
+ "modelProvider.noneConfigured": "Configurați un model de sistem implicit pentru a rula aplicații",
"modelProvider.notConfigured": "Modelul de sistem nu a fost încă configurat complet, iar unele funcții pot fi indisponibile.",
"modelProvider.parameters": "PARAMETRI",
"modelProvider.parametersInvalidRemoved": "Unele parametrii sunt invalizi și au fost eliminați.",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Resetare la {{date}}",
"modelProvider.searchModel": "Model de căutare",
"modelProvider.selectModel": "Selectați modelul dvs.",
+ "modelProvider.selector.aiCredits": "AI credits",
+ "modelProvider.selector.apiKeyUnavailable": "API Key indisponibil",
+ "modelProvider.selector.apiKeyUnavailableTip": "API key-ul a fost eliminat. Vă rugăm să configurați un nou API key.",
+ "modelProvider.selector.configure": "Configurare",
+ "modelProvider.selector.configureRequired": "Configurare necesară",
+ "modelProvider.selector.creditsExhausted": "Credite epuizate",
+ "modelProvider.selector.creditsExhaustedTip": "AI credits au fost epuizate. Vă rugăm să faceți upgrade la plan sau să adăugați un API key.",
+ "modelProvider.selector.disabled": "Dezactivat",
+ "modelProvider.selector.discoverMoreInMarketplace": "Descoperiți mai multe în Marketplace",
"modelProvider.selector.emptySetting": "Vă rugăm să mergeți la setări pentru a configura",
"modelProvider.selector.emptyTip": "Nu există modele disponibile",
+ "modelProvider.selector.fromMarketplace": "Din Marketplace",
+ "modelProvider.selector.incompatible": "Incompatibil",
+ "modelProvider.selector.incompatibleTip": "Acest model nu este disponibil în versiunea curentă. Vă rugăm să selectați alt model disponibil.",
+ "modelProvider.selector.install": "Instalare",
+ "modelProvider.selector.modelProviderSettings": "Setări furnizor de modele",
+ "modelProvider.selector.noProviderConfigured": "Niciun furnizor de modele configurat",
+ "modelProvider.selector.noProviderConfiguredDesc": "Răsfoiți Marketplace pentru a instala unul sau configurați furnizorii în setări.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Sunt afișate doar modelele compatibile",
"modelProvider.selector.rerankTip": "Vă rugăm să configurați modelul de reordonare",
"modelProvider.selector.tip": "Acest model a fost eliminat. Vă rugăm să adăugați un model sau să selectați un alt model.",
"modelProvider.setupModelFirst": "Vă rugăm să configurați mai întâi modelul",
diff --git a/web/i18n/ro-RO/plugin.json b/web/i18n/ro-RO/plugin.json
index c0295b64d6..15523b6c62 100644
--- a/web/i18n/ro-RO/plugin.json
+++ b/web/i18n/ro-RO/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Eliminați pluginul",
"action.deleteContentLeft": "Doriți să eliminați",
"action.deleteContentRight": "plugin?",
+ "action.deleteSuccess": "Plugin eliminat cu succes",
"action.pluginInfo": "Informații despre plugin",
"action.usedInApps": "Acest plugin este folosit în aplicațiile {{num}}.",
"allCategories": "Toate categoriile",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Instala",
"detailPanel.operation.remove": "Depărta",
"detailPanel.operation.update": "Actualiza",
+ "detailPanel.operation.updateTooltip": "Actualizați pentru a accesa cele mai recente modele.",
"detailPanel.operation.viewDetail": "Vezi detalii",
"detailPanel.serviceOk": "Serviciu OK",
"detailPanel.strategyNum": "{{num}} {{strategy}} INCLUS",
@@ -231,12 +233,18 @@
"source.local": "Fișier pachet local",
"source.marketplace": "Târg",
"task.clearAll": "Ștergeți tot",
+ "task.errorMsg.github": "Acest plugin nu a putut fi instalat automat.\nVă rugăm să îl instalați de pe GitHub.",
+ "task.errorMsg.marketplace": "Acest plugin nu a putut fi instalat automat.\nVă rugăm să îl instalați din Marketplace.",
+ "task.errorMsg.unknown": "Acest plugin nu a putut fi instalat.\nSursa pluginului nu a putut fi identificată.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} plugin-urile nu s-au instalat, faceți clic pentru a vizualiza",
+ "task.installFromGithub": "Instalare de pe GitHub",
+ "task.installFromMarketplace": "Instalare din Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} plugin-urile nu s-au instalat",
"task.installing": "Se instalează pluginuri.",
+ "task.installingHint": "Se instalează... Aceasta poate dura câteva minute.",
"task.installingWithError": "Instalarea pluginurilor {{installingLength}}, {{successLength}} succes, {{errorLength}} eșuat",
"task.installingWithSuccess": "Instalarea pluginurilor {{installingLength}}, {{successLength}} succes.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/ro-RO/workflow.json b/web/i18n/ro-RO/workflow.json
index a68d477980..e34ba42007 100644
--- a/web/i18n/ro-RO/workflow.json
+++ b/web/i18n/ro-RO/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "actualizarea fluxului de lucru",
"error.startNodeRequired": "Vă rugăm să adăugați mai întâi un nod de pornire înainte de {{operation}}",
"errorMsg.authRequired": "Autorizarea este necesară",
+ "errorMsg.configureModel": "Configurați un model",
"errorMsg.fieldRequired": "{{field}} este obligatoriu",
"errorMsg.fields.code": "Cod",
"errorMsg.fields.model": "Model",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Vizibilitate variabilă",
"errorMsg.invalidJson": "{{field}} este un JSON invalid",
"errorMsg.invalidVariable": "Variabilă invalidă",
+ "errorMsg.modelPluginNotInstalled": "Variabilă invalidă. Configurați un model pentru a activa această variabilă.",
"errorMsg.noValidTool": "{{field}} nu a fost selectat niciun instrument valid",
"errorMsg.rerankModelRequired": "Înainte de a activa modelul de reclasificare, vă rugăm să confirmați că modelul a fost configurat cu succes în setări.",
"errorMsg.startNodeRequired": "Vă rugăm să adăugați mai întâi un nod de pornire înainte de {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Dimensiunea ferestrei",
"nodes.common.outputVars": "Variabile de ieșire",
"nodes.common.pluginNotInstalled": "Pluginul nu este instalat",
+ "nodes.common.pluginsNotInstalled": "{{count}} pluginuri neinstalate",
"nodes.common.retry.maxRetries": "numărul maxim de încercări",
"nodes.common.retry.ms": "Ms",
"nodes.common.retry.retries": "{{num}} Încercări",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Bucăți",
"nodes.knowledgeBase.chunksInputTip": "Variabila de intrare a nodului bazei de cunoștințe este Chunks. Tipul variabilei este un obiect cu un Șchema JSON specific care trebuie să fie coerent cu structura de chunk selectată.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Variabila Chunks este obligatorie",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API key indisponibil",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Credite epuizate",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Incompatibil",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Modelul de încorporare este invalid",
"nodes.knowledgeBase.embeddingModelIsRequired": "Este necesar un model de încorporare",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Modelul de embedding nu este configurat",
"nodes.knowledgeBase.indexMethodIsRequired": "Este necesară metoda indexului",
+ "nodes.knowledgeBase.notConfigured": "Neconfigurat",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Modelul de reordonare este invalid",
"nodes.knowledgeBase.rerankingModelIsRequired": "Este necesar un model de reordonare",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Setarea de recuperare este necesară",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Suportă doar Jinja2",
"nodes.templateTransform.inputVars": "Variabile de intrare",
"nodes.templateTransform.outputVars.output": "Conținut transformat",
+ "nodes.tool.authorizationRequired": "Autorizare necesară",
"nodes.tool.authorize": "Autorizați",
"nodes.tool.inputVars": "Variabile de intrare",
"nodes.tool.insertPlaceholder1": "Scrieți sau apăsați",
@@ -1062,10 +1071,12 @@
"panel.change": "Schimbă",
"panel.changeBlock": "Schimbă nodul",
"panel.checklist": "Lista de verificare",
+ "panel.checklistDescription": "Rezolvați următoarele probleme înainte de publicare",
"panel.checklistResolved": "Toate problemele au fost rezolvate",
"panel.checklistTip": "Asigurați-vă că toate problemele sunt rezolvate înainte de publicare",
"panel.createdBy": "Creat de ",
"panel.goTo": "Du-te la",
+ "panel.goToFix": "Mergi la remediere",
"panel.helpLink": "Ajutor",
"panel.maximize": "Maximize Canvas",
"panel.minimize": "Iesi din modul pe tot ecranul",
diff --git a/web/i18n/ru-RU/app-debug.json b/web/i18n/ru-RU/app-debug.json
index fdc797da2f..514958101d 100644
--- a/web/i18n/ru-RU/app-debug.json
+++ b/web/i18n/ru-RU/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "ЗАПУСТИТЬ",
"inputs.title": "Отладка и предварительный просмотр",
"inputs.userInputField": "Поле пользовательского ввода",
+ "manageModels": "Управление моделями",
"modelConfig.modeType.chat": "Чат",
"modelConfig.modeType.completion": "Завершение",
"modelConfig.model": "Модель",
"modelConfig.setTone": "Установить тон ответов",
"modelConfig.title": "Модель и параметры",
+ "noModelProviderConfigured": "Поставщик моделей не настроен",
+ "noModelProviderConfiguredTip": "Установите или настройте поставщика моделей, чтобы начать работу.",
+ "noModelSelected": "Модель не выбрана",
+ "noModelSelectedTip": "Настройте модель выше, чтобы продолжить.",
"noResult": "Вывод будет отображаться здесь.",
"notSetAPIKey.description": "Ключ поставщика LLM не установлен, его необходимо установить перед отладкой.",
"notSetAPIKey.settingBtn": "Перейти к настройкам",
diff --git a/web/i18n/ru-RU/common.json b/web/i18n/ru-RU/common.json
index dc301e4ed9..aec9a69483 100644
--- a/web/i18n/ru-RU/common.json
+++ b/web/i18n/ru-RU/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Неавторизованный",
"modelProvider.buyQuota": "Купить квоту",
"modelProvider.callTimes": "Количество вызовов",
+ "modelProvider.card.aiCreditsInUse": "Используются AI-кредиты",
+ "modelProvider.card.aiCreditsOption": "AI-кредиты",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "Требуется API-ключ",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key недоступен, используются AI-кредиты",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Проверьте настройки API Key для переключения обратно",
"modelProvider.card.buyQuota": "Купить квоту",
"modelProvider.card.callTimes": "Количество вызовов",
+ "modelProvider.card.creditsExhaustedDescription": "Пожалуйста, обновите тарифный план или настройте API-ключ",
+ "modelProvider.card.creditsExhaustedFallback": "AI-кредиты исчерпаны, используется API Key",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Обновите тарифный план , чтобы возобновить приоритетное использование AI-кредитов.",
+ "modelProvider.card.creditsExhaustedMessage": "AI-кредиты исчерпаны",
"modelProvider.card.modelAPI": "Модели {{modelName}} используют API-ключ.",
"modelProvider.card.modelNotSupported": "Модели {{modelName}} не установлены.",
"modelProvider.card.modelSupported": "Модели {{modelName}} используют эту квоту.",
+ "modelProvider.card.noApiKeysDescription": "Добавьте API-ключ, чтобы использовать собственные учётные данные модели.",
+ "modelProvider.card.noApiKeysFallback": "API-ключи не настроены, используются AI-кредиты",
+ "modelProvider.card.noApiKeysTitle": "API-ключи ещё не настроены",
+ "modelProvider.card.noAvailableUsage": "Нет доступного использования",
"modelProvider.card.onTrial": "Пробная версия",
"modelProvider.card.paid": "Платный",
"modelProvider.card.priorityUse": "Приоритетное использование",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Удалить API-ключ",
"modelProvider.card.tip": "Кредиты сообщений поддерживают модели от {{modelNames}}. Приоритет будет отдаваться платной квоте. Бесплатная квота будет использоваться после исчерпания платной квоты.",
"modelProvider.card.tokens": "Токены",
+ "modelProvider.card.unavailable": "Недоступно",
+ "modelProvider.card.upgradePlan": "обновите тарифный план",
+ "modelProvider.card.usageLabel": "Использование",
+ "modelProvider.card.usagePriority": "Приоритет использования",
+ "modelProvider.card.usagePriorityTip": "Укажите, какой ресурс использовать первым при запуске моделей.",
"modelProvider.collapse": "Свернуть",
"modelProvider.config": "Настройка",
"modelProvider.configLoadBalancing": "Настроить балансировку нагрузки",
@@ -387,9 +406,11 @@
"modelProvider.model": "Модель",
"modelProvider.modelAndParameters": "Модель и параметры",
"modelProvider.modelHasBeenDeprecated": "Эта модель устарела",
+ "modelProvider.modelSettings": "Настройки моделей",
"modelProvider.models": "Модели",
"modelProvider.modelsNum": "{{num}} Моделей",
"modelProvider.noModelFound": "Модель не найдена для {{model}}",
+ "modelProvider.noneConfigured": "Настройте системную модель по умолчанию для запуска приложений",
"modelProvider.notConfigured": "Системная модель еще не полностью настроена, и некоторые функции могут быть недоступны.",
"modelProvider.parameters": "ПАРАМЕТРЫ",
"modelProvider.parametersInvalidRemoved": "Некоторые параметры недействительны и были удалены",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Сброс {{date}}",
"modelProvider.searchModel": "Поиск модели",
"modelProvider.selectModel": "Выберите свою модель",
+ "modelProvider.selector.aiCredits": "AI-кредиты",
+ "modelProvider.selector.apiKeyUnavailable": "API Key недоступен",
+ "modelProvider.selector.apiKeyUnavailableTip": "API Key был удалён. Пожалуйста, настройте новый API Key.",
+ "modelProvider.selector.configure": "Настроить",
+ "modelProvider.selector.configureRequired": "Требуется настройка",
+ "modelProvider.selector.creditsExhausted": "Кредиты исчерпаны",
+ "modelProvider.selector.creditsExhaustedTip": "Ваши AI-кредиты исчерпаны. Обновите тарифный план или добавьте API-ключ.",
+ "modelProvider.selector.disabled": "Отключено",
+ "modelProvider.selector.discoverMoreInMarketplace": "Найти больше в Marketplace",
"modelProvider.selector.emptySetting": "Пожалуйста, перейдите в настройки для настройки",
"modelProvider.selector.emptyTip": "Нет доступных моделей",
+ "modelProvider.selector.fromMarketplace": "Из Marketplace",
+ "modelProvider.selector.incompatible": "Несовместимо",
+ "modelProvider.selector.incompatibleTip": "Эта модель недоступна в текущей версии. Пожалуйста, выберите другую доступную модель.",
+ "modelProvider.selector.install": "Установить",
+ "modelProvider.selector.modelProviderSettings": "Настройки поставщика моделей",
+ "modelProvider.selector.noProviderConfigured": "Поставщик моделей не настроен",
+ "modelProvider.selector.noProviderConfiguredDesc": "Установите из Marketplace или настройте поставщиков в настройках.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Показаны только совместимые модели",
"modelProvider.selector.rerankTip": "Пожалуйста, настройте модель повторного ранжирования",
"modelProvider.selector.tip": "Эта модель была удалена. Пожалуйста, добавьте модель или выберите другую модель.",
"modelProvider.setupModelFirst": "Пожалуйста, сначала настройте свою модель",
diff --git a/web/i18n/ru-RU/plugin.json b/web/i18n/ru-RU/plugin.json
index 3b10a3a995..52cb6cbd55 100644
--- a/web/i18n/ru-RU/plugin.json
+++ b/web/i18n/ru-RU/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Удалить плагин",
"action.deleteContentLeft": "Вы хотели бы удалить",
"action.deleteContentRight": "Плагин?",
+ "action.deleteSuccess": "Плагин успешно удалён",
"action.pluginInfo": "Информация о плагине",
"action.usedInApps": "Этот плагин используется в приложениях {{num}}.",
"allCategories": "Все категории",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Устанавливать",
"detailPanel.operation.remove": "Убирать",
"detailPanel.operation.update": "Обновлять",
+ "detailPanel.operation.updateTooltip": "Обновите для доступа к последним моделям.",
"detailPanel.operation.viewDetail": "Подробнее",
"detailPanel.serviceOk": "Услуга ОК",
"detailPanel.strategyNum": "{{num}} {{strategy}} ВКЛЮЧЕННЫЙ",
@@ -231,12 +233,18 @@
"source.local": "Локальный файл пакета",
"source.marketplace": "Рынок",
"task.clearAll": "Очистить все",
+ "task.errorMsg.github": "Не удалось автоматически установить этот плагин.\nПожалуйста, установите его из GitHub.",
+ "task.errorMsg.marketplace": "Не удалось автоматически установить этот плагин.\nПожалуйста, установите его из Marketplace.",
+ "task.errorMsg.unknown": "Не удалось установить этот плагин.\nНе удалось определить источник плагина.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "Плагины {{errorLength}} не удалось установить, нажмите для просмотра",
+ "task.installFromGithub": "Установить из GitHub",
+ "task.installFromMarketplace": "Установить из Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "плагины {{errorLength}} не удалось установить",
"task.installing": "Установка плагинов.",
+ "task.installingHint": "Установка... Это может занять несколько минут.",
"task.installingWithError": "Установка плагинов {{installingLength}}, {{successLength}} успех, {{errorLength}} неудачный",
"task.installingWithSuccess": "Установка плагинов {{installingLength}}, {{successLength}} успех.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/ru-RU/workflow.json b/web/i18n/ru-RU/workflow.json
index 9265e4e6d6..73cdad253a 100644
--- a/web/i18n/ru-RU/workflow.json
+++ b/web/i18n/ru-RU/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "обновление рабочего процесса",
"error.startNodeRequired": "Пожалуйста, сначала добавьте начальный узел перед {{operation}}",
"errorMsg.authRequired": "Требуется авторизация",
+ "errorMsg.configureModel": "Настройте модель",
"errorMsg.fieldRequired": "{{field}} обязательно для заполнения",
"errorMsg.fields.code": "Код",
"errorMsg.fields.model": "Модель",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Переменная зрения",
"errorMsg.invalidJson": "{{field}} неверный JSON",
"errorMsg.invalidVariable": "Неверная переменная",
+ "errorMsg.modelPluginNotInstalled": "Недопустимая переменная. Настройте модель, чтобы активировать эту переменную.",
"errorMsg.noValidTool": "{{field}} не выбран валидный инструмент",
"errorMsg.rerankModelRequired": "Перед включением модели повторного ранжирования убедитесь, что модель успешно настроена в настройках.",
"errorMsg.startNodeRequired": "Пожалуйста, сначала добавьте начальный узел перед {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Размер окна",
"nodes.common.outputVars": "Выходные переменные",
"nodes.common.pluginNotInstalled": "Плагин не установлен",
+ "nodes.common.pluginsNotInstalled": "{{count}} плагинов не установлено",
"nodes.common.retry.maxRetries": "максимальное количество повторных попыток",
"nodes.common.retry.ms": "госпожа",
"nodes.common.retry.retries": "{{num}} Повторных попыток",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Куски",
"nodes.knowledgeBase.chunksInputTip": "Входная переменная узла базы знаний - это Чанки. Тип переменной является объектом с определенной схемой JSON, которая должна соответствовать выбранной структуре чанка.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Переменная chunks обязательна",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API-ключ недоступен",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Кредиты исчерпаны",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Несовместимо",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Модель встраивания недействительна",
"nodes.knowledgeBase.embeddingModelIsRequired": "Требуется модель встраивания",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Модель эмбеддингов не настроена",
"nodes.knowledgeBase.indexMethodIsRequired": "Метод index является обязательным",
+ "nodes.knowledgeBase.notConfigured": "Не настроено",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Модель повторной ранжировки недействительна",
"nodes.knowledgeBase.rerankingModelIsRequired": "Требуется модель перераспределения рангов",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Настройка извлечения обязательна",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Поддерживает только Jinja2",
"nodes.templateTransform.inputVars": "Входные переменные",
"nodes.templateTransform.outputVars.output": "Преобразованный контент",
+ "nodes.tool.authorizationRequired": "Требуется авторизация",
"nodes.tool.authorize": "Авторизовать",
"nodes.tool.inputVars": "Входные переменные",
"nodes.tool.insertPlaceholder1": "Наберите или нажмите",
@@ -1062,10 +1071,12 @@
"panel.change": "Изменить",
"panel.changeBlock": "Изменить узел",
"panel.checklist": "Контрольный список",
+ "panel.checklistDescription": "Устраните следующие проблемы перед публикацией",
"panel.checklistResolved": "Все проблемы решены",
"panel.checklistTip": "Убедитесь, что все проблемы решены перед публикацией",
"panel.createdBy": "Создано ",
"panel.goTo": "Перейти к",
+ "panel.goToFix": "Перейти к исправлению",
"panel.helpLink": "Помощь",
"panel.maximize": "Максимизировать холст",
"panel.minimize": "Выйти из полноэкранного режима",
diff --git a/web/i18n/sl-SI/app-debug.json b/web/i18n/sl-SI/app-debug.json
index 948e3dbc67..cf3d6c9ec4 100644
--- a/web/i18n/sl-SI/app-debug.json
+++ b/web/i18n/sl-SI/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "TEČI",
"inputs.title": "Odpravljanje napak in predogled",
"inputs.userInputField": "Uporabniško polje za vnos",
+ "manageModels": "Upravljanje modelov",
"modelConfig.modeType.chat": "Chat",
"modelConfig.modeType.completion": "Dokončati",
"modelConfig.model": "Model",
"modelConfig.setTone": "Nastavitev tona odzivov",
"modelConfig.title": "Model in parametri",
+ "noModelProviderConfigured": "Ponudnik modelov ni konfiguriran",
+ "noModelProviderConfiguredTip": "Za začetek namestite ali konfigurirajte ponudnika modelov.",
+ "noModelSelected": "Noben model ni izbran",
+ "noModelSelectedTip": "Za nadaljevanje konfigurirajte model zgoraj.",
"noResult": "Tukaj bo prikazan izhod.",
"notSetAPIKey.description": "Ključ ponudnika LLM ni nastavljen. Pred odpravljanjem napak je treba nastaviti ključ.",
"notSetAPIKey.settingBtn": "Pojdi v nastavitve",
diff --git a/web/i18n/sl-SI/common.json b/web/i18n/sl-SI/common.json
index 247874bb30..6ec4fe430c 100644
--- a/web/i18n/sl-SI/common.json
+++ b/web/i18n/sl-SI/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Neavtorizirano",
"modelProvider.buyQuota": "Kupi kvoto",
"modelProvider.callTimes": "Število klicev",
+ "modelProvider.card.aiCreditsInUse": "Krediti AI v uporabi",
+ "modelProvider.card.aiCreditsOption": "Krediti AI",
+ "modelProvider.card.apiKeyOption": "API ključ",
+ "modelProvider.card.apiKeyRequired": "Potreben je API ključ",
+ "modelProvider.card.apiKeyUnavailableFallback": "API ključ ni na voljo, zdaj se uporabljajo krediti AI",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Preverite konfiguracijo API ključa za preklop nazaj",
"modelProvider.card.buyQuota": "Kupi kvoto",
"modelProvider.card.callTimes": "Časi klicev",
+ "modelProvider.card.creditsExhaustedDescription": "Prosimo, nadgradite načrt ali konfigurirajte API ključ",
+ "modelProvider.card.creditsExhaustedFallback": "Krediti AI so porabljeni, zdaj se uporablja API ključ",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Nadgradite načrt za nadaljevanje prednostne uporabe kreditov AI.",
+ "modelProvider.card.creditsExhaustedMessage": "Krediti AI so bili porabljeni",
"modelProvider.card.modelAPI": "Modeli {{modelName}} uporabljajo API ključ.",
"modelProvider.card.modelNotSupported": "Modeli {{modelName}} niso nameščeni.",
"modelProvider.card.modelSupported": "Modeli {{modelName}} uporabljajo to kvoto.",
+ "modelProvider.card.noApiKeysDescription": "Dodajte API ključ za začetek uporabe lastnih poverilnic modela.",
+ "modelProvider.card.noApiKeysFallback": "Ni API ključev, namesto tega se uporabljajo krediti AI",
+ "modelProvider.card.noApiKeysTitle": "Še ni konfiguriranih API ključev",
+ "modelProvider.card.noAvailableUsage": "Ni razpoložljive uporabe",
"modelProvider.card.onTrial": "Na preizkusu",
"modelProvider.card.paid": "Plačano",
"modelProvider.card.priorityUse": "Prednostna uporaba",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Odstrani API ključ",
"modelProvider.card.tip": "Krediti za sporočila podpirajo modele od {{modelNames}}. Prednostno se bo uporabila plačana kvota. Brezplačna kvota se bo uporabila, ko bo plačana kvota porabljena.",
"modelProvider.card.tokens": "Žetoni",
+ "modelProvider.card.unavailable": "Ni na voljo",
+ "modelProvider.card.upgradePlan": "nadgradite načrt",
+ "modelProvider.card.usageLabel": "Poraba",
+ "modelProvider.card.usagePriority": "Prednost porabe",
+ "modelProvider.card.usagePriorityTip": "Nastavite, kateri vir se bo najprej uporabil pri zaganjanju modelov.",
"modelProvider.collapse": "Strni",
"modelProvider.config": "Konfiguracija",
"modelProvider.configLoadBalancing": "Konfiguracija uravnoteženja obremenitev",
@@ -387,9 +406,11 @@
"modelProvider.model": "Model",
"modelProvider.modelAndParameters": "Model in parametri",
"modelProvider.modelHasBeenDeprecated": "Ta model je zastarel",
+ "modelProvider.modelSettings": "Nastavitve modela",
"modelProvider.models": "Modeli",
"modelProvider.modelsNum": "{{num}} modelov",
"modelProvider.noModelFound": "Za {{model}} ni najden noben model",
+ "modelProvider.noneConfigured": "Konfigurirajte privzeti sistemski model za zaganjanje aplikacij",
"modelProvider.notConfigured": "Sistemski model še ni popolnoma konfiguriran, nekatere funkcije morda ne bodo na voljo.",
"modelProvider.parameters": "PARAMETRI",
"modelProvider.parametersInvalidRemoved": "Nekateri parametri so neveljavni in so bili odstranjeni.",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Ponastavi {{date}}",
"modelProvider.searchModel": "Model iskanja",
"modelProvider.selectModel": "Izberite svoj model",
+ "modelProvider.selector.aiCredits": "Krediti AI",
+ "modelProvider.selector.apiKeyUnavailable": "API ključ ni na voljo",
+ "modelProvider.selector.apiKeyUnavailableTip": "API ključ je bil odstranjen. Prosimo, konfigurirajte nov API ključ.",
+ "modelProvider.selector.configure": "Konfiguriraj",
+ "modelProvider.selector.configureRequired": "Konfiguracija je obvezna",
+ "modelProvider.selector.creditsExhausted": "Krediti so porabljeni",
+ "modelProvider.selector.creditsExhaustedTip": "Vaši krediti AI so bili porabljeni. Prosimo, nadgradite načrt ali dodajte API ključ.",
+ "modelProvider.selector.disabled": "Onemogočeno",
+ "modelProvider.selector.discoverMoreInMarketplace": "Odkrijte več v Tržnici",
"modelProvider.selector.emptySetting": "Prosimo, pojdite v nastavitve za konfiguracijo",
"modelProvider.selector.emptyTip": "Ni razpoložljivih modelov",
+ "modelProvider.selector.fromMarketplace": "Iz Tržnice",
+ "modelProvider.selector.incompatible": "Nezdružljivo",
+ "modelProvider.selector.incompatibleTip": "Ta model ni na voljo v trenutni različici. Izberite drug razpoložljiv model.",
+ "modelProvider.selector.install": "Namesti",
+ "modelProvider.selector.modelProviderSettings": "Nastavitve ponudnika modelov",
+ "modelProvider.selector.noProviderConfigured": "Noben ponudnik modelov ni konfiguriran",
+ "modelProvider.selector.noProviderConfiguredDesc": "Poiščite v Tržnici za namestitev ali konfigurirajte ponudnike v nastavitvah.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Prikazani so samo združljivi modeli",
"modelProvider.selector.rerankTip": "Prosimo, nastavite model za prerazvrstitev",
"modelProvider.selector.tip": "Ta model je bil odstranjen. Prosimo, dodajte model ali izberite drugega.",
"modelProvider.setupModelFirst": "Najprej nastavite svoj model",
diff --git a/web/i18n/sl-SI/plugin.json b/web/i18n/sl-SI/plugin.json
index 0f84e91c80..91f6c670bf 100644
--- a/web/i18n/sl-SI/plugin.json
+++ b/web/i18n/sl-SI/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Odstrani vtičnik",
"action.deleteContentLeft": "Ali želite odstraniti",
"action.deleteContentRight": "vtičnik?",
+ "action.deleteSuccess": "Vtičnik je bil uspešno odstranjen",
"action.pluginInfo": "Informacije o vtičniku",
"action.usedInApps": "Ta vtičnik se uporablja v {{num}} aplikacijah.",
"allCategories": "Vse kategorije",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Namestite",
"detailPanel.operation.remove": "Odstrani",
"detailPanel.operation.update": "Posodobitev",
+ "detailPanel.operation.updateTooltip": "Posodobite za dostop do najnovejših modelov.",
"detailPanel.operation.viewDetail": "Oglej si podrobnosti",
"detailPanel.serviceOk": "Storitve so v redu",
"detailPanel.strategyNum": "{{num}} {{strategy}} VKLJUČENO",
@@ -231,12 +233,18 @@
"source.local": "Lokalna paketna datoteka",
"source.marketplace": "Tržnica",
"task.clearAll": "Počisti vse",
+ "task.errorMsg.github": "Ta vtičnik ni bil samodejno nameščen.\nProsimo, namestite ga iz GitHuba.",
+ "task.errorMsg.marketplace": "Ta vtičnik ni bil samodejno nameščen.\nProsimo, namestite ga iz Tržnice.",
+ "task.errorMsg.unknown": "Ta vtičnik ni bil nameščen.\nIzvora vtičnika ni mogoče ugotoviti.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} vtičnikov ni uspelo namestiti, kliknite za ogled",
+ "task.installFromGithub": "Namestite iz GitHuba",
+ "task.installFromMarketplace": "Namestite iz Tržnice",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} vtičnikov ni uspelo namestiti",
"task.installing": "Nameščanje vtičnikov.",
+ "task.installingHint": "Nameščanje... To lahko traja nekaj minut.",
"task.installingWithError": "Namestitev {{installingLength}} vtičnikov, {{successLength}} uspešnih, {{errorLength}} neuspešnih",
"task.installingWithSuccess": "Namestitev {{installingLength}} dodatkov, {{successLength}} uspešnih.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/sl-SI/workflow.json b/web/i18n/sl-SI/workflow.json
index f11175d1d4..a20a30753d 100644
--- a/web/i18n/sl-SI/workflow.json
+++ b/web/i18n/sl-SI/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "posodabljanje delovnega procesa",
"error.startNodeRequired": "Prosimo, najprej dodajte začetni vozel pred {{operation}}",
"errorMsg.authRequired": "Zahtevana je avtorizacija",
+ "errorMsg.configureModel": "Konfiguriraj model",
"errorMsg.fieldRequired": "{{field}} je obvezno",
"errorMsg.fields.code": "Koda",
"errorMsg.fields.model": "Model",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Vizijska spremenljivka",
"errorMsg.invalidJson": "{{field}} je neveljaven JSON",
"errorMsg.invalidVariable": "Neveljavna spremenljivka",
+ "errorMsg.modelPluginNotInstalled": "Neveljavna spremenljivka. Konfigurirajte model za omogočanje te spremenljivke.",
"errorMsg.noValidTool": "{{field}} ni izbranega veljavnega orodja",
"errorMsg.rerankModelRequired": "Zahteva se konfigurirana model ponovnega razvrščanja.",
"errorMsg.startNodeRequired": "Prosimo, najprej dodajte začetni vozel pred {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Velikost okna",
"nodes.common.outputVars": "Izhodne spremenljivke",
"nodes.common.pluginNotInstalled": "Vtičnik ni nameščen",
+ "nodes.common.pluginsNotInstalled": "{{count}} vtičnikov ni nameščenih",
"nodes.common.retry.maxRetries": "maksimalno število poskusov",
"nodes.common.retry.ms": "ms",
"nodes.common.retry.retries": "{{num}} Poskusi",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Kosi",
"nodes.knowledgeBase.chunksInputTip": "Vhodna spremenljivka vozlišča podatkovne baze je Chunks. Tip spremenljivke je objekt s specifično JSON shemo, ki mora biti skladna z izbrano strukturo kosov.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Spremenljivka Chunks je obvezna",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API ključ ni na voljo",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Krediti so porabljeni",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Nezdružljivo",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Vdelovalni model ni veljaven",
"nodes.knowledgeBase.embeddingModelIsRequired": "Zahteva se vgrajevalni model",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Vdelovalni model ni konfiguriran",
"nodes.knowledgeBase.indexMethodIsRequired": "Zahteva se indeksna metoda",
+ "nodes.knowledgeBase.notConfigured": "Ni konfigurirano",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Model prerazvrščanja ni veljaven",
"nodes.knowledgeBase.rerankingModelIsRequired": "Potreben je model za ponovno razvrščanje",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Zahtevana je nastavitev pridobivanja",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Podpira samo Jinja2",
"nodes.templateTransform.inputVars": "Vhodne spremenljivke",
"nodes.templateTransform.outputVars.output": "Transformirana vsebina",
+ "nodes.tool.authorizationRequired": "Zahtevana je avtorizacija",
"nodes.tool.authorize": "Pooblasti",
"nodes.tool.inputVars": "Vhodne spremenljivke",
"nodes.tool.insertPlaceholder1": "Vnesite ali pritisnite",
@@ -1062,10 +1071,12 @@
"panel.change": "Spremeni",
"panel.changeBlock": "Spremeni vozlišče",
"panel.checklist": "Kontrolni seznam",
+ "panel.checklistDescription": "Rešite naslednje težave pred objavo",
"panel.checklistResolved": "Vse težave so rešene",
"panel.checklistTip": "Prepričajte se, da so vse težave rešene, preden objavite.",
"panel.createdBy": "Ustvarjeno z",
"panel.goTo": "Pojdi na",
+ "panel.goToFix": "Pojdi na popravi",
"panel.helpLink": "Pomoč",
"panel.maximize": "Maksimiziraj platno",
"panel.minimize": "Izhod iz celotnega zaslona",
diff --git a/web/i18n/th-TH/app-debug.json b/web/i18n/th-TH/app-debug.json
index 53dc629a7f..c36db9ce18 100644
--- a/web/i18n/th-TH/app-debug.json
+++ b/web/i18n/th-TH/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "วิ่ง",
"inputs.title": "ดีบัก & ดูตัวอย่าง",
"inputs.userInputField": "ฟิลด์ป้อนข้อมูลของผู้ใช้",
+ "manageModels": "จัดการโมเดล",
"modelConfig.modeType.chat": "สนทนา",
"modelConfig.modeType.completion": "สมบูรณ์",
"modelConfig.model": "แบบ",
"modelConfig.setTone": "กําหนดน้ําเสียงของการตอบกลับ",
"modelConfig.title": "รุ่นและพารามิเตอร์",
+ "noModelProviderConfigured": "ยังไม่ได้กำหนดค่าผู้ให้บริการโมเดล",
+ "noModelProviderConfiguredTip": "ติดตั้งหรือกำหนดค่าผู้ให้บริการโมเดลเพื่อเริ่มต้นใช้งาน",
+ "noModelSelected": "ยังไม่ได้เลือกโมเดล",
+ "noModelSelectedTip": "กำหนดค่าโมเดลด้านบนเพื่อดำเนินการต่อ",
"noResult": "ผลลัพธ์จะแสดงที่นี่",
"notSetAPIKey.description": "ยังไม่ได้ตั้งค่าคีย์ผู้ให้บริการ LLM และจําเป็นต้องตั้งค่าก่อนการดีบัก",
"notSetAPIKey.settingBtn": "ไปที่การตั้งค่า",
diff --git a/web/i18n/th-TH/common.json b/web/i18n/th-TH/common.json
index 71c9369599..6eed5eba93 100644
--- a/web/i18n/th-TH/common.json
+++ b/web/i18n/th-TH/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "ไม่ได้รับอนุญาต",
"modelProvider.buyQuota": "ซื้อโควต้า",
"modelProvider.callTimes": "เวลาโทร",
+ "modelProvider.card.aiCreditsInUse": "กำลังใช้เครดิต AI",
+ "modelProvider.card.aiCreditsOption": "เครดิต AI",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "ต้องการ API Key",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key ไม่พร้อมใช้งาน กำลังใช้เครดิต AI แทน",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "ตรวจสอบการกำหนดค่า API Key ของคุณเพื่อสลับกลับ",
"modelProvider.card.buyQuota": "ซื้อโควต้า",
"modelProvider.card.callTimes": "เวลาโทร",
+ "modelProvider.card.creditsExhaustedDescription": "กรุณาอัปเกรดแพ็กเกจ หรือกำหนดค่า API Key",
+ "modelProvider.card.creditsExhaustedFallback": "เครดิต AI หมดแล้ว กำลังใช้ API Key แทน",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "อัปเกรดแพ็กเกจ เพื่อกลับมาใช้เครดิต AI เป็นลำดับแรก",
+ "modelProvider.card.creditsExhaustedMessage": "เครดิต AI หมดแล้ว",
"modelProvider.card.modelAPI": "โมเดล {{modelName}} กำลังใช้คีย์ API",
"modelProvider.card.modelNotSupported": "โมเดล {{modelName}} ไม่ได้ติดตั้ง",
"modelProvider.card.modelSupported": "โมเดล {{modelName}} กำลังใช้โควต้านี้",
+ "modelProvider.card.noApiKeysDescription": "เพิ่ม API Key เพื่อเริ่มใช้ข้อมูลรับรองโมเดลของคุณเอง",
+ "modelProvider.card.noApiKeysFallback": "ไม่มี API Key กำลังใช้เครดิต AI แทน",
+ "modelProvider.card.noApiKeysTitle": "ยังไม่ได้กำหนดค่า API Key",
+ "modelProvider.card.noAvailableUsage": "ไม่มีปริมาณการใช้งานที่พร้อมใช้",
"modelProvider.card.onTrial": "ทดลองใช้",
"modelProvider.card.paid": "จ่าย",
"modelProvider.card.priorityUse": "ลําดับความสําคัญในการใช้งาน",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "ลบคีย์ API",
"modelProvider.card.tip": "เครดิตข้อความรองรับโมเดลจาก {{modelNames}} จะให้ลำดับความสำคัญกับโควต้าที่ชำระแล้ว โควต้าฟรีจะถูกใช้หลังจากโควต้าที่ชำระแล้วหมด",
"modelProvider.card.tokens": "โท เค็น",
+ "modelProvider.card.unavailable": "ไม่พร้อมใช้งาน",
+ "modelProvider.card.upgradePlan": "อัปเกรดแพ็กเกจ",
+ "modelProvider.card.usageLabel": "การใช้งาน",
+ "modelProvider.card.usagePriority": "ลำดับความสำคัญการใช้งาน",
+ "modelProvider.card.usagePriorityTip": "ตั้งค่าทรัพยากรที่จะใช้ก่อนเมื่อเรียกใช้โมเดล",
"modelProvider.collapse": "ทรุด",
"modelProvider.config": "กําหนดค่า",
"modelProvider.configLoadBalancing": "กําหนดค่าโหลดบาลานซ์",
@@ -387,9 +406,11 @@
"modelProvider.model": "แบบ",
"modelProvider.modelAndParameters": "รุ่นและพารามิเตอร์",
"modelProvider.modelHasBeenDeprecated": "โมเดลนี้เลิกใช้แล้ว",
+ "modelProvider.modelSettings": "การตั้งค่าโมเดล",
"modelProvider.models": "รุ่น",
"modelProvider.modelsNum": "{{num}} รุ่น",
"modelProvider.noModelFound": "ไม่พบแบบจําลองสําหรับ {{model}}",
+ "modelProvider.noneConfigured": "กำหนดค่าโมเดลระบบเริ่มต้นเพื่อเรียกใช้แอปพลิเคชัน",
"modelProvider.notConfigured": "โมเดลระบบยังไม่ได้รับการกําหนดค่าอย่างสมบูรณ์ และฟังก์ชันบางอย่างอาจไม่พร้อมใช้งาน",
"modelProvider.parameters": "พารามิเตอร์",
"modelProvider.parametersInvalidRemoved": "บางพารามิเตอร์ไม่ถูกต้องและถูกนำออก",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "รีเซ็ตเมื่อ {{date}}",
"modelProvider.searchModel": "ค้นหารุ่น",
"modelProvider.selectModel": "เลือกรุ่นของคุณ",
+ "modelProvider.selector.aiCredits": "เครดิต AI",
+ "modelProvider.selector.apiKeyUnavailable": "API Key ไม่พร้อมใช้งาน",
+ "modelProvider.selector.apiKeyUnavailableTip": "API Key ถูกลบแล้ว กรุณากำหนดค่า API Key ใหม่",
+ "modelProvider.selector.configure": "กำหนดค่า",
+ "modelProvider.selector.configureRequired": "ต้องกำหนดค่า",
+ "modelProvider.selector.creditsExhausted": "เครดิตหมดแล้ว",
+ "modelProvider.selector.creditsExhaustedTip": "เครดิต AI ของคุณหมดแล้ว กรุณาอัปเกรดแพ็กเกจหรือเพิ่ม API Key",
+ "modelProvider.selector.disabled": "ปิดใช้งาน",
+ "modelProvider.selector.discoverMoreInMarketplace": "ค้นพบเพิ่มเติมใน Marketplace",
"modelProvider.selector.emptySetting": "โปรดไปที่การตั้งค่าเพื่อกําหนดค่า",
"modelProvider.selector.emptyTip": "ไม่มีรุ่นที่พร้อมใช้งาน",
+ "modelProvider.selector.fromMarketplace": "จาก Marketplace",
+ "modelProvider.selector.incompatible": "ไม่รองรับ",
+ "modelProvider.selector.incompatibleTip": "โมเดลนี้ไม่พร้อมใช้งานในเวอร์ชันปัจจุบัน กรุณาเลือกโมเดลอื่นที่พร้อมใช้งาน",
+ "modelProvider.selector.install": "ติดตั้ง",
+ "modelProvider.selector.modelProviderSettings": "การตั้งค่าผู้ให้บริการโมเดล",
+ "modelProvider.selector.noProviderConfigured": "ยังไม่ได้กำหนดค่าผู้ให้บริการโมเดล",
+ "modelProvider.selector.noProviderConfiguredDesc": "เรียกดู Marketplace เพื่อติดตั้ง หรือกำหนดค่าผู้ให้บริการในการตั้งค่า",
+ "modelProvider.selector.onlyCompatibleModelsShown": "แสดงเฉพาะโมเดลที่รองรับเท่านั้น",
"modelProvider.selector.rerankTip": "โปรดตั้งค่าโมเดล Rerank",
"modelProvider.selector.tip": "รุ่นนี้ถูกลบออกแล้ว โปรดเพิ่มรุ่นหรือเลือกรุ่นอื่น",
"modelProvider.setupModelFirst": "โปรดตั้งค่าโมเดลของคุณก่อน",
diff --git a/web/i18n/th-TH/plugin.json b/web/i18n/th-TH/plugin.json
index 1c5a544abc..0545d0d46b 100644
--- a/web/i18n/th-TH/plugin.json
+++ b/web/i18n/th-TH/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "ลบปลั๊กอิน",
"action.deleteContentLeft": "คุณต้องการลบ",
"action.deleteContentRight": "ปลั๊กอิน?",
+ "action.deleteSuccess": "ลบปลั๊กอินสำเร็จแล้ว",
"action.pluginInfo": "ข้อมูลปลั๊กอิน",
"action.usedInApps": "ปลั๊กอินนี้ถูกใช้ในแอป {{num}}",
"allCategories": "หมวดหมู่ทั้งหมด",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "ติดตั้ง",
"detailPanel.operation.remove": "ถอด",
"detailPanel.operation.update": "อัพเดต",
+ "detailPanel.operation.updateTooltip": "อัปเดตเพื่อเข้าถึงโมเดลล่าสุด",
"detailPanel.operation.viewDetail": "ดูรายละเอียด",
"detailPanel.serviceOk": "บริการตกลง",
"detailPanel.strategyNum": "{{num}} {{strategy}} รวม",
@@ -231,12 +233,18 @@
"source.local": "ไฟล์แพ็คเกจในเครื่อง",
"source.marketplace": "ตลาด",
"task.clearAll": "ล้างทั้งหมด",
+ "task.errorMsg.github": "ไม่สามารถติดตั้งปลั๊กอินนี้โดยอัตโนมัติได้\nกรุณาติดตั้งจาก GitHub",
+ "task.errorMsg.marketplace": "ไม่สามารถติดตั้งปลั๊กอินนี้โดยอัตโนมัติได้\nกรุณาติดตั้งจาก Marketplace",
+ "task.errorMsg.unknown": "ไม่สามารถติดตั้งปลั๊กอินนี้ได้\nไม่สามารถระบุแหล่งที่มาของปลั๊กอินได้",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} ปลั๊กอินติดตั้งไม่สําเร็จ คลิกเพื่อดู",
+ "task.installFromGithub": "ติดตั้งจาก GitHub",
+ "task.installFromMarketplace": "ติดตั้งจาก Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} ปลั๊กอินติดตั้งไม่สําเร็จ",
"task.installing": "การติดตั้งปลั๊กอิน",
+ "task.installingHint": "กำลังติดตั้ง... อาจใช้เวลาสักครู่",
"task.installingWithError": "การติดตั้งปลั๊กอิน {{installingLength}}, {{successLength}} สําเร็จ, {{errorLength}} ล้มเหลว",
"task.installingWithSuccess": "การติดตั้งปลั๊กอิน {{installingLength}}, {{successLength}} สําเร็จ",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/th-TH/workflow.json b/web/i18n/th-TH/workflow.json
index 84bfe5ed97..7819e884c3 100644
--- a/web/i18n/th-TH/workflow.json
+++ b/web/i18n/th-TH/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "กำลังปรับปรุงเวิร์กโฟลว์",
"error.startNodeRequired": "โปรดเพิ่มโหนดเริ่มต้นก่อน {{operation}}",
"errorMsg.authRequired": "ต้องได้รับอนุญาต",
+ "errorMsg.configureModel": "กำหนดค่าโมเดล",
"errorMsg.fieldRequired": "{{field}} เป็นสิ่งจําเป็น",
"errorMsg.fields.code": "รหัส",
"errorMsg.fields.model": "แบบ",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "ตัวแปรวิสัยทัศน์",
"errorMsg.invalidJson": "{{field}} เป็น JSON ไม่ถูกต้อง",
"errorMsg.invalidVariable": "ตัวแปรไม่ถูกต้อง",
+ "errorMsg.modelPluginNotInstalled": "ตัวแปรไม่ถูกต้อง กำหนดค่าโมเดลเพื่อเปิดใช้งานตัวแปรนี้",
"errorMsg.noValidTool": "{{field}} ไม่ได้เลือกเครื่องมือที่ถูกต้อง",
"errorMsg.rerankModelRequired": "ก่อนเปิด Rerank Model โปรดยืนยันว่าได้กําหนดค่าโมเดลสําเร็จในการตั้งค่า",
"errorMsg.startNodeRequired": "โปรดเพิ่มโหนดเริ่มต้นก่อน {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "ขนาดหน้าต่าง",
"nodes.common.outputVars": "ตัวแปรเอาต์พุต",
"nodes.common.pluginNotInstalled": "ปลั๊กอินไม่ได้ติดตั้ง",
+ "nodes.common.pluginsNotInstalled": "{{count}} ปลั๊กอินยังไม่ได้ติดตั้ง",
"nodes.common.retry.maxRetries": "การลองซ้ําสูงสุด",
"nodes.common.retry.ms": "นางสาว",
"nodes.common.retry.retries": "{{num}} ลอง",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "ชิ้นส่วน",
"nodes.knowledgeBase.chunksInputTip": "ตัวแปรนำเข้าของโหนดฐานความรู้คือ Chunks ตัวแปรประเภทเป็นอ็อบเจ็กต์ที่มี JSON Schema เฉพาะซึ่งต้องสอดคล้องกับโครงสร้างชิ้นส่วนที่เลือกไว้.",
"nodes.knowledgeBase.chunksVariableIsRequired": "ตัวแปร Chunks เป็นสิ่งจำเป็น",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API Key ไม่พร้อมใช้งาน",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "เครดิตหมดแล้ว",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "ไม่รองรับ",
"nodes.knowledgeBase.embeddingModelIsInvalid": "แบบจำลองการฝังไม่ถูกต้อง",
"nodes.knowledgeBase.embeddingModelIsRequired": "จำเป็นต้องใช้โมเดลฝัง",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "ยังไม่ได้กำหนดค่าโมเดล Embedding",
"nodes.knowledgeBase.indexMethodIsRequired": "ต้องใช้วิธีการจัดทําดัชนี",
+ "nodes.knowledgeBase.notConfigured": "ยังไม่ได้กำหนดค่า",
"nodes.knowledgeBase.rerankingModelIsInvalid": "โมเดลการจัดอันดับใหม่ไม่ถูกต้อง",
"nodes.knowledgeBase.rerankingModelIsRequired": "จำเป็นต้องมีโมเดลการจัดอันดับใหม่",
"nodes.knowledgeBase.retrievalSettingIsRequired": "จําเป็นต้องมีการตั้งค่าการดึงข้อมูล",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "รองรับเฉพาะ Jinja2",
"nodes.templateTransform.inputVars": "ตัวแปรอินพุต",
"nodes.templateTransform.outputVars.output": "เนื้อหาที่แปลงโฉม",
+ "nodes.tool.authorizationRequired": "ต้องการการอนุญาต",
"nodes.tool.authorize": "อนุญาต",
"nodes.tool.inputVars": "ตัวแปรอินพุต",
"nodes.tool.insertPlaceholder1": "พิมพ์หรือลงทะเบียน",
@@ -1062,10 +1071,12 @@
"panel.change": "เปลี่ยน",
"panel.changeBlock": "เปลี่ยนโหนด",
"panel.checklist": "ตรวจ สอบ",
+ "panel.checklistDescription": "กรุณาแก้ไขปัญหาต่อไปนี้ก่อนเผยแพร่",
"panel.checklistResolved": "ปัญหาทั้งหมดได้รับการแก้ไขแล้ว",
"panel.checklistTip": "ตรวจสอบให้แน่ใจว่าปัญหาทั้งหมดได้รับการแก้ไขแล้วก่อนที่จะเผยแพร่",
"panel.createdBy": "สร้างโดย",
"panel.goTo": "ไปที่",
+ "panel.goToFix": "ไปแก้ไข",
"panel.helpLink": "วิธีใช้",
"panel.maximize": "เพิ่มประสิทธิภาพผ้าใบ",
"panel.minimize": "ออกจากโหมดเต็มหน้าจอ",
diff --git a/web/i18n/uk-UA/app-debug.json b/web/i18n/uk-UA/app-debug.json
index 74dcc72efd..dd7ec2de8f 100644
--- a/web/i18n/uk-UA/app-debug.json
+++ b/web/i18n/uk-UA/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "ЗАПУСТИТИ",
"inputs.title": "Налагодження та попередній перегляд",
"inputs.userInputField": "Поле введення користувача",
+ "manageModels": "Керування моделями",
"modelConfig.modeType.chat": "Чат",
"modelConfig.modeType.completion": "Завершення",
"modelConfig.model": "Модель",
"modelConfig.setTone": "Встановити тон відповідей",
"modelConfig.title": "Модель і параметри",
+ "noModelProviderConfigured": "Постачальник моделей не налаштований",
+ "noModelProviderConfiguredTip": "Встановіть або налаштуйте постачальника моделей, щоб почати роботу.",
+ "noModelSelected": "Модель не вибрана",
+ "noModelSelectedTip": "налаштуйте модель вище, щоб продовжити.",
"noResult": "Тут буде відображено вихідні дані.",
"notSetAPIKey.description": "Ключ провайдера LLM не встановлено, і його потрібно встановити перед налагодженням.",
"notSetAPIKey.settingBtn": "Перейти до налаштувань",
diff --git a/web/i18n/uk-UA/common.json b/web/i18n/uk-UA/common.json
index 6745644573..806cbede3d 100644
--- a/web/i18n/uk-UA/common.json
+++ b/web/i18n/uk-UA/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Несанкціоновано",
"modelProvider.buyQuota": "Придбати квоту",
"modelProvider.callTimes": "Кількість викликів",
+ "modelProvider.card.aiCreditsInUse": "Використовуються AI-кредити",
+ "modelProvider.card.aiCreditsOption": "AI-кредити",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "Потрібен API-ключ",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key недоступний, використовуються AI-кредити",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Перевірте конфігурацію API-ключа, щоб повернутися до нього",
"modelProvider.card.buyQuota": "Придбати квоту",
"modelProvider.card.callTimes": "Кількість викликів",
+ "modelProvider.card.creditsExhaustedDescription": "Будь ласка, оновіть свій план або налаштуйте API-ключ",
+ "modelProvider.card.creditsExhaustedFallback": "AI-кредити вичерпано, використовується API Key",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Оновіть свій план , щоб відновити пріоритет AI-кредитів.",
+ "modelProvider.card.creditsExhaustedMessage": "AI-кредити вичерпано",
"modelProvider.card.modelAPI": "Моделі {{modelName}} використовують API-ключ.",
"modelProvider.card.modelNotSupported": "Моделі {{modelName}} не встановлено.",
"modelProvider.card.modelSupported": "Моделі {{modelName}} використовують цю квоту.",
+ "modelProvider.card.noApiKeysDescription": "Додайте API-ключ, щоб почати використовувати власні облікові дані моделі.",
+ "modelProvider.card.noApiKeysFallback": "API-ключі відсутні, використовуються AI-кредити",
+ "modelProvider.card.noApiKeysTitle": "API-ключі ще не налаштовані",
+ "modelProvider.card.noAvailableUsage": "Немає доступного використання",
"modelProvider.card.onTrial": "У пробному періоді",
"modelProvider.card.paid": "Оплачено",
"modelProvider.card.priorityUse": "Пріоритетне використання",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Видалити ключ API",
"modelProvider.card.tip": "Кредити повідомлень підтримують моделі від {{modelNames}}. Пріоритет буде надано оплаченій квоті. Безкоштовна квота буде використовуватися після вичерпання платної квоти.",
"modelProvider.card.tokens": "Токени",
+ "modelProvider.card.unavailable": "Недоступно",
+ "modelProvider.card.upgradePlan": "оновіть свій план",
+ "modelProvider.card.usageLabel": "Використання",
+ "modelProvider.card.usagePriority": "Пріоритет використання",
+ "modelProvider.card.usagePriorityTip": "Встановіть, який ресурс використовувати першим при запуску моделей.",
"modelProvider.collapse": "Згорнути",
"modelProvider.config": "Налаштування",
"modelProvider.configLoadBalancing": "Балансування навантаження конфігурації",
@@ -387,9 +406,11 @@
"modelProvider.model": "Модель",
"modelProvider.modelAndParameters": "Модель та параметри",
"modelProvider.modelHasBeenDeprecated": "Ця модель вважається застарілою",
+ "modelProvider.modelSettings": "Налаштування моделі",
"modelProvider.models": "Моделі",
"modelProvider.modelsNum": "{{num}} моделей",
"modelProvider.noModelFound": "Модель для {{model}} не знайдено",
+ "modelProvider.noneConfigured": "Налаштуйте системну модель за замовчуванням для запуску застосунків",
"modelProvider.notConfigured": "Системну модель ще не повністю налаштовано, і деякі функції можуть бути недоступні.",
"modelProvider.parameters": "ПАРАМЕТРИ",
"modelProvider.parametersInvalidRemoved": "Деякі параметри є недійсними і були видалені",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Скидання {{date}}",
"modelProvider.searchModel": "Пошукова модель",
"modelProvider.selectModel": "Виберіть свою модель",
+ "modelProvider.selector.aiCredits": "AI-кредити",
+ "modelProvider.selector.apiKeyUnavailable": "API Key недоступний",
+ "modelProvider.selector.apiKeyUnavailableTip": "API-ключ було видалено. Будь ласка, налаштуйте новий API-ключ.",
+ "modelProvider.selector.configure": "Налаштувати",
+ "modelProvider.selector.configureRequired": "Потрібне налаштування",
+ "modelProvider.selector.creditsExhausted": "Кредити вичерпано",
+ "modelProvider.selector.creditsExhaustedTip": "Ваші AI-кредити вичерпано. Будь ласка, оновіть свій план або додайте API-ключ.",
+ "modelProvider.selector.disabled": "Вимкнено",
+ "modelProvider.selector.discoverMoreInMarketplace": "Знайти більше в Marketplace",
"modelProvider.selector.emptySetting": "Перейдіть до налаштувань, щоб налаштувати",
"modelProvider.selector.emptyTip": "Доступні моделі відсутні",
+ "modelProvider.selector.fromMarketplace": "З Marketplace",
+ "modelProvider.selector.incompatible": "Несумісно",
+ "modelProvider.selector.incompatibleTip": "Ця модель недоступна в поточній версії. Будь ласка, виберіть іншу доступну модель.",
+ "modelProvider.selector.install": "Встановити",
+ "modelProvider.selector.modelProviderSettings": "Налаштування постачальника моделей",
+ "modelProvider.selector.noProviderConfigured": "Постачальник моделей не налаштований",
+ "modelProvider.selector.noProviderConfiguredDesc": "Перегляньте Marketplace для встановлення або налаштуйте постачальників у параметрах.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Показано лише сумісні моделі",
"modelProvider.selector.rerankTip": "Будь ласка, налаштуйте модель повторного ранжування",
"modelProvider.selector.tip": "Цю модель було видалено. Будь ласка, додайте модель або виберіть іншу.",
"modelProvider.setupModelFirst": "Будь ласка, спочатку налаштуйте свою модель",
diff --git a/web/i18n/uk-UA/plugin.json b/web/i18n/uk-UA/plugin.json
index 98bebf0ca8..603a8226a3 100644
--- a/web/i18n/uk-UA/plugin.json
+++ b/web/i18n/uk-UA/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Видалити плагін",
"action.deleteContentLeft": "Чи хотіли б ви видалити",
"action.deleteContentRight": "плагін?",
+ "action.deleteSuccess": "Плагін успішно видалено",
"action.pluginInfo": "Інформація про плагін",
"action.usedInApps": "Цей плагін використовується в додатках {{num}}.",
"allCategories": "Всі категорії",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Інсталювати",
"detailPanel.operation.remove": "Видалити",
"detailPanel.operation.update": "Оновлювати",
+ "detailPanel.operation.updateTooltip": "Оновіть, щоб отримати доступ до найновіших моделей.",
"detailPanel.operation.viewDetail": "Переглянути деталі",
"detailPanel.serviceOk": "Сервіс працює",
"detailPanel.strategyNum": "{{num}} {{strategy}} ВКЛЮЧЕНІ",
@@ -231,12 +233,18 @@
"source.local": "Файл локального пакета",
"source.marketplace": "Ринку",
"task.clearAll": "Очистити все",
+ "task.errorMsg.github": "Цей плагін не вдалося встановити автоматично.\nБудь ласка, встановіть його з GitHub.",
+ "task.errorMsg.marketplace": "Цей плагін не вдалося встановити автоматично.\nБудь ласка, встановіть його з Marketplace.",
+ "task.errorMsg.unknown": "Не вдалося встановити цей плагін.\nДжерело плагіна не вдалося визначити.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "Плагіни {{errorLength}} не вдалося встановити, натисніть, щоб переглянути",
+ "task.installFromGithub": "Встановити з GitHub",
+ "task.installFromMarketplace": "Встановити з Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "Плагіни {{errorLength}} не вдалося встановити",
"task.installing": "Встановлення плагінів.",
+ "task.installingHint": "Встановлення... Це може зайняти кілька хвилин.",
"task.installingWithError": "Не вдалося встановити плагіни {{installingLength}}, успіх {{successLength}}, {{errorLength}}",
"task.installingWithSuccess": "Встановлення плагінів {{installingLength}}, успіх {{successLength}}.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/uk-UA/workflow.json b/web/i18n/uk-UA/workflow.json
index e9365303f2..4fa95f6d57 100644
--- a/web/i18n/uk-UA/workflow.json
+++ b/web/i18n/uk-UA/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "оновлення робочого процесу",
"error.startNodeRequired": "Будь ласка, спершу додайте стартовий вузол перед {{operation}}",
"errorMsg.authRequired": "Потрібна авторизація",
+ "errorMsg.configureModel": "Налаштуйте модель",
"errorMsg.fieldRequired": "{{field}} є обов'язковим",
"errorMsg.fields.code": "Код",
"errorMsg.fields.model": "Модель",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Змінна зору",
"errorMsg.invalidJson": "{{field}} є недійсним JSON",
"errorMsg.invalidVariable": "Недійсна змінна",
+ "errorMsg.modelPluginNotInstalled": "Недійсна змінна. Налаштуйте модель, щоб увімкнути цю змінну.",
"errorMsg.noValidTool": "{{field}} не вибрано дійсного інструменту",
"errorMsg.rerankModelRequired": "Перед увімкненням Rerank Model, будь ласка, підтвердьте, що модель успішно налаштована в налаштуваннях.",
"errorMsg.startNodeRequired": "Будь ласка, спершу додайте стартовий вузол перед {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Розмір вікна",
"nodes.common.outputVars": "Змінні виходу",
"nodes.common.pluginNotInstalled": "Плагін не встановлений",
+ "nodes.common.pluginsNotInstalled": "{{count}} плагінів не встановлено",
"nodes.common.retry.maxRetries": "Максимальна кількість повторних спроб",
"nodes.common.retry.ms": "МС",
"nodes.common.retry.retries": "{{num}} Спроб",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Частини",
"nodes.knowledgeBase.chunksInputTip": "Вхідна змінна вузла бази знань - це Частини. Тип змінної - об'єкт з певною JSON-схемою, яка повинна відповідати вибраній структурі частин.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Змінна chunks є обов'язковою",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API-ключ недоступний",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Кредити вичерпано",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Несумісно",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Модель вбудовування недійсна",
"nodes.knowledgeBase.embeddingModelIsRequired": "Потрібна модель вбудовування",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Модель ембедингу не налаштована",
"nodes.knowledgeBase.indexMethodIsRequired": "Обов'язковий індексний метод",
+ "nodes.knowledgeBase.notConfigured": "Не налаштовано",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Модель переналаштування недійсна",
"nodes.knowledgeBase.rerankingModelIsRequired": "Потрібна модель повторного ранжування",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Потрібне налаштування для отримання",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Підтримує лише Jinja2",
"nodes.templateTransform.inputVars": "Вхідні змінні",
"nodes.templateTransform.outputVars.output": "Трансформований вміст",
+ "nodes.tool.authorizationRequired": "Потрібна авторизація",
"nodes.tool.authorize": "Уповноважити",
"nodes.tool.inputVars": "Вхідні змінні",
"nodes.tool.insertPlaceholder1": "Введіть або натисніть",
@@ -1062,10 +1071,12 @@
"panel.change": "Змінити",
"panel.changeBlock": "Змінити вузол",
"panel.checklist": "Контрольний список",
+ "panel.checklistDescription": "Вирішіть наступні проблеми перед публікацією",
"panel.checklistResolved": "Всі проблеми вирішені",
"panel.checklistTip": "Переконайтеся, що всі проблеми вирішені перед публікацією",
"panel.createdBy": "Створено ",
"panel.goTo": "Перейти до",
+ "panel.goToFix": "Перейти до виправлення",
"panel.helpLink": "Довідковий центр",
"panel.maximize": "Максимізувати полотно",
"panel.minimize": "Вийти з повноекранного режиму",
diff --git a/web/i18n/vi-VN/app-debug.json b/web/i18n/vi-VN/app-debug.json
index d533a02370..92037650cb 100644
--- a/web/i18n/vi-VN/app-debug.json
+++ b/web/i18n/vi-VN/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "CHẠY",
"inputs.title": "Gỡ lỗi và xem trước",
"inputs.userInputField": "Trường nhập liệu người dùng",
+ "manageModels": "Quản lý mô hình",
"modelConfig.modeType.chat": "Trò chuyện",
"modelConfig.modeType.completion": "Hoàn thành",
"modelConfig.model": "Mô hình",
"modelConfig.setTone": "Thiết lập giọng điệu của phản hồi",
"modelConfig.title": "Mô hình và tham số",
+ "noModelProviderConfigured": "Chưa cấu hình nhà cung cấp mô hình",
+ "noModelProviderConfiguredTip": "Cài đặt hoặc cấu hình nhà cung cấp mô hình để bắt đầu.",
+ "noModelSelected": "Chưa chọn mô hình",
+ "noModelSelectedTip": "cấu hình mô hình ở trên để tiếp tục.",
"noResult": "Đầu ra sẽ được hiển thị ở đây.",
"notSetAPIKey.description": "Chưa thiết lập khóa API của nhà cung cấp LLM. Cần thiết lập trước khi gỡ lỗi.",
"notSetAPIKey.settingBtn": "Đi đến cài đặt",
diff --git a/web/i18n/vi-VN/common.json b/web/i18n/vi-VN/common.json
index a47ee6da57..820bfdfdab 100644
--- a/web/i18n/vi-VN/common.json
+++ b/web/i18n/vi-VN/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "Không có quyền truy cập",
"modelProvider.buyQuota": "Mua Quyền lợi",
"modelProvider.callTimes": "Số lần gọi",
+ "modelProvider.card.aiCreditsInUse": "Đang sử dụng AI credits",
+ "modelProvider.card.aiCreditsOption": "AI credits",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "Yêu cầu API key",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key không khả dụng, đang sử dụng AI credits",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "Kiểm tra cấu hình API key để chuyển lại",
"modelProvider.card.buyQuota": "Mua Quota",
"modelProvider.card.callTimes": "Số lần gọi",
+ "modelProvider.card.creditsExhaustedDescription": "Vui lòng nâng cấp gói dịch vụ hoặc cấu hình API key",
+ "modelProvider.card.creditsExhaustedFallback": "AI credits đã hết, đang sử dụng API Key",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "Nâng cấp gói dịch vụ để khôi phục ưu tiên AI credits.",
+ "modelProvider.card.creditsExhaustedMessage": "AI credits đã hết",
"modelProvider.card.modelAPI": "Các mô hình {{modelName}} đang sử dụng Khóa API.",
"modelProvider.card.modelNotSupported": "Các mô hình {{modelName}} chưa được cài đặt.",
"modelProvider.card.modelSupported": "Các mô hình {{modelName}} đang sử dụng hạn mức này.",
+ "modelProvider.card.noApiKeysDescription": "Thêm API key để bắt đầu sử dụng thông tin xác thực mô hình của bạn.",
+ "modelProvider.card.noApiKeysFallback": "Không có API key, sử dụng AI credits thay thế",
+ "modelProvider.card.noApiKeysTitle": "Chưa cấu hình API key",
+ "modelProvider.card.noAvailableUsage": "Không có lượt sử dụng khả dụng",
"modelProvider.card.onTrial": "Thử nghiệm",
"modelProvider.card.paid": "Đã thanh toán",
"modelProvider.card.priorityUse": "Ưu tiên sử dụng",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "Remove API Key",
"modelProvider.card.tip": "Tín dụng tin nhắn hỗ trợ các mô hình từ {{modelNames}}. Ưu tiên sẽ được trao cho hạn ngạch đã thanh toán. Hạn ngạch miễn phí sẽ được sử dụng sau khi hết hạn ngạch trả phí.",
"modelProvider.card.tokens": "Tokens",
+ "modelProvider.card.unavailable": "Không khả dụng",
+ "modelProvider.card.upgradePlan": "nâng cấp gói dịch vụ",
+ "modelProvider.card.usageLabel": "Sử dụng",
+ "modelProvider.card.usagePriority": "Ưu tiên sử dụng",
+ "modelProvider.card.usagePriorityTip": "Đặt tài nguyên sử dụng trước khi chạy mô hình.",
"modelProvider.collapse": "Thu gọn",
"modelProvider.config": "Cấu hình",
"modelProvider.configLoadBalancing": "Cấu hình cân bằng tải",
@@ -387,9 +406,11 @@
"modelProvider.model": "Mô hình",
"modelProvider.modelAndParameters": "Mô hình và Tham số",
"modelProvider.modelHasBeenDeprecated": "Mô hình này đã bị phản đối",
+ "modelProvider.modelSettings": "Cài đặt mô hình",
"modelProvider.models": "Mô hình",
"modelProvider.modelsNum": "{{num}} Mô hình",
"modelProvider.noModelFound": "Không tìm thấy mô hình cho {{model}}",
+ "modelProvider.noneConfigured": "Cấu hình mô hình hệ thống mặc định để chạy ứng dụng",
"modelProvider.notConfigured": "Mô hình hệ thống vẫn chưa được cấu hình hoàn toàn và một số chức năng có thể không khả dụng.",
"modelProvider.parameters": "THAM SỐ",
"modelProvider.parametersInvalidRemoved": "Một số tham số không hợp lệ và đã được loại bỏ",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "Đặt lại vào {{date}}",
"modelProvider.searchModel": "Mô hình tìm kiếm",
"modelProvider.selectModel": "Chọn mô hình của bạn",
+ "modelProvider.selector.aiCredits": "AI credits",
+ "modelProvider.selector.apiKeyUnavailable": "API Key không khả dụng",
+ "modelProvider.selector.apiKeyUnavailableTip": "API key đã bị xóa. Vui lòng cấu hình API key mới.",
+ "modelProvider.selector.configure": "Cấu hình",
+ "modelProvider.selector.configureRequired": "Cần cấu hình",
+ "modelProvider.selector.creditsExhausted": "Credits đã hết",
+ "modelProvider.selector.creditsExhaustedTip": "AI credits của bạn đã hết. Vui lòng nâng cấp gói dịch vụ hoặc thêm API key.",
+ "modelProvider.selector.disabled": "Đã tắt",
+ "modelProvider.selector.discoverMoreInMarketplace": "Khám phá thêm trên Marketplace",
"modelProvider.selector.emptySetting": "Vui lòng vào cài đặt để cấu hình",
"modelProvider.selector.emptyTip": "Không có mô hình khả dụng",
+ "modelProvider.selector.fromMarketplace": "Từ Marketplace",
+ "modelProvider.selector.incompatible": "Không tương thích",
+ "modelProvider.selector.incompatibleTip": "Mô hình này không khả dụng trong phiên bản hiện tại. Vui lòng chọn mô hình khả dụng khác.",
+ "modelProvider.selector.install": "Cài đặt",
+ "modelProvider.selector.modelProviderSettings": "Cài đặt nhà cung cấp mô hình",
+ "modelProvider.selector.noProviderConfigured": "Chưa cấu hình nhà cung cấp mô hình",
+ "modelProvider.selector.noProviderConfiguredDesc": "Duyệt Marketplace để cài đặt hoặc cấu hình nhà cung cấp trong phần cài đặt.",
+ "modelProvider.selector.onlyCompatibleModelsShown": "Chỉ hiển thị các mô hình tương thích",
"modelProvider.selector.rerankTip": "Vui lòng thiết lập mô hình sắp xếp lại",
"modelProvider.selector.tip": "Mô hình này đã bị xóa. Vui lòng thêm một mô hình hoặc chọn mô hình khác.",
"modelProvider.setupModelFirst": "Vui lòng thiết lập mô hình của bạn trước",
diff --git a/web/i18n/vi-VN/plugin.json b/web/i18n/vi-VN/plugin.json
index 40cc20b7b0..1c1b37bba3 100644
--- a/web/i18n/vi-VN/plugin.json
+++ b/web/i18n/vi-VN/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "Xóa plugin",
"action.deleteContentLeft": "Bạn có muốn xóa",
"action.deleteContentRight": "plugin?",
+ "action.deleteSuccess": "Đã xóa plugin thành công",
"action.pluginInfo": "Thông tin plugin",
"action.usedInApps": "Plugin này đang được sử dụng trong các ứng dụng {{num}}.",
"allCategories": "Tất cả các danh mục",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "Cài đặt",
"detailPanel.operation.remove": "Triệt",
"detailPanel.operation.update": "Cập nhật",
+ "detailPanel.operation.updateTooltip": "Cập nhật để truy cập các mô hình mới nhất.",
"detailPanel.operation.viewDetail": "xem chi tiết",
"detailPanel.serviceOk": "Dịch vụ OK",
"detailPanel.strategyNum": "{{num}} {{strategy}} BAO GỒM",
@@ -231,12 +233,18 @@
"source.local": "Tệp gói cục bộ",
"source.marketplace": "Chợ",
"task.clearAll": "Xóa tất cả",
+ "task.errorMsg.github": "Không thể cài đặt plugin này tự động.\nVui lòng cài đặt từ GitHub.",
+ "task.errorMsg.marketplace": "Không thể cài đặt plugin này tự động.\nVui lòng cài đặt từ Marketplace.",
+ "task.errorMsg.unknown": "Không thể cài đặt plugin này.\nKhông xác định được nguồn plugin.",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} plugin không cài đặt được, nhấp để xem",
+ "task.installFromGithub": "Cài đặt từ GitHub",
+ "task.installFromMarketplace": "Cài đặt từ Marketplace",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} plugin không cài đặt được",
"task.installing": "Đang cài đặt plugin.",
+ "task.installingHint": "Đang cài đặt... Quá trình này có thể mất vài phút.",
"task.installingWithError": "Cài đặt {{installingLength}} plugins, {{successLength}} thành công, {{errorLength}} không thành công",
"task.installingWithSuccess": "Cài đặt {{installingLength}} plugins, {{successLength}} thành công.",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/vi-VN/workflow.json b/web/i18n/vi-VN/workflow.json
index 3bdd86e231..3a8bdbaaf1 100644
--- a/web/i18n/vi-VN/workflow.json
+++ b/web/i18n/vi-VN/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "cập nhật quy trình công việc",
"error.startNodeRequired": "Vui lòng thêm một nút bắt đầu trước {{operation}}",
"errorMsg.authRequired": "Yêu cầu xác thực",
+ "errorMsg.configureModel": "Cấu hình mô hình",
"errorMsg.fieldRequired": "{{field}} là bắt buộc",
"errorMsg.fields.code": "Mã",
"errorMsg.fields.model": "Mô hình",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Biến tầm nhìn",
"errorMsg.invalidJson": "{{field}} là JSON không hợp lệ",
"errorMsg.invalidVariable": "Biến không hợp lệ",
+ "errorMsg.modelPluginNotInstalled": "Biến không hợp lệ. Cấu hình mô hình để kích hoạt biến này.",
"errorMsg.noValidTool": "{{field}} không chọn công cụ hợp lệ nào",
"errorMsg.rerankModelRequired": "Trước khi bật Mô hình xếp hạng lại, vui lòng xác nhận rằng mô hình đã được định cấu hình thành công trong cài đặt.",
"errorMsg.startNodeRequired": "Vui lòng thêm một nút bắt đầu trước {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "Kích thước cửa sổ",
"nodes.common.outputVars": "Biến đầu ra",
"nodes.common.pluginNotInstalled": "Plugin chưa được cài đặt",
+ "nodes.common.pluginsNotInstalled": "{{count}} plugin chưa được cài đặt",
"nodes.common.retry.maxRetries": "Số lần thử lại tối đa",
"nodes.common.retry.ms": "Ms",
"nodes.common.retry.retries": "{{num}} Thử lại",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "Mảnh",
"nodes.knowledgeBase.chunksInputTip": "Biến đầu vào của nút cơ sở tri thức là Chunks. Loại biến là một đối tượng với một JSON Schema cụ thể mà phải nhất quán với cấu trúc chunk đã chọn.",
"nodes.knowledgeBase.chunksVariableIsRequired": "Biến Chunks là bắt buộc",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API key không khả dụng",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "Credits đã hết",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "Không tương thích",
"nodes.knowledgeBase.embeddingModelIsInvalid": "Mô hình nhúng không hợp lệ",
"nodes.knowledgeBase.embeddingModelIsRequired": "Cần có mô hình nhúng",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Chưa cấu hình mô hình nhúng",
"nodes.knowledgeBase.indexMethodIsRequired": "Phương pháp chỉ mục là bắt buộc",
+ "nodes.knowledgeBase.notConfigured": "Chưa cấu hình",
"nodes.knowledgeBase.rerankingModelIsInvalid": "Mô hình xếp hạng lại không hợp lệ",
"nodes.knowledgeBase.rerankingModelIsRequired": "Cần có mô hình sắp xếp lại",
"nodes.knowledgeBase.retrievalSettingIsRequired": "Cài đặt truy xuất là bắt buộc",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "Chỉ hỗ trợ Jinja2",
"nodes.templateTransform.inputVars": "Biến đầu vào",
"nodes.templateTransform.outputVars.output": "Nội dung chuyển đổi",
+ "nodes.tool.authorizationRequired": "Yêu cầu ủy quyền",
"nodes.tool.authorize": "Ủy quyền",
"nodes.tool.inputVars": "Biến đầu vào",
"nodes.tool.insertPlaceholder1": "Gõ hoặc nhấn",
@@ -1062,10 +1071,12 @@
"panel.change": "Thay đổi",
"panel.changeBlock": "Thay đổi Node",
"panel.checklist": "Danh sách kiểm tra",
+ "panel.checklistDescription": "Giải quyết các vấn đề sau trước khi xuất bản",
"panel.checklistResolved": "Tất cả các vấn đề đã được giải quyết",
"panel.checklistTip": "Đảm bảo rằng tất cả các vấn đề đã được giải quyết trước khi xuất bản",
"panel.createdBy": "Tạo bởi ",
"panel.goTo": "Đi tới",
+ "panel.goToFix": "Đi đến sửa lỗi",
"panel.helpLink": "Trung tâm trợ giúp",
"panel.maximize": "Tối đa hóa Canvas",
"panel.minimize": "Thoát chế độ toàn màn hình",
diff --git a/web/i18n/zh-Hant/app-debug.json b/web/i18n/zh-Hant/app-debug.json
index ab7286691f..3058cd8458 100644
--- a/web/i18n/zh-Hant/app-debug.json
+++ b/web/i18n/zh-Hant/app-debug.json
@@ -235,11 +235,16 @@
"inputs.run": "執行",
"inputs.title": "除錯與預覽",
"inputs.userInputField": "使用者輸入",
+ "manageModels": "管理模型",
"modelConfig.modeType.chat": "對話型",
"modelConfig.modeType.completion": "補全型",
"modelConfig.model": "語言模型",
"modelConfig.setTone": "模型設定",
"modelConfig.title": "模型及引數",
+ "noModelProviderConfigured": "未配置模型供應商",
+ "noModelProviderConfiguredTip": "請先安裝或配置模型供應商以開始使用。",
+ "noModelSelected": "未選擇模型",
+ "noModelSelectedTip": "請先在上方配置模型以繼續。",
"noResult": "輸出將顯示在此處。",
"notSetAPIKey.description": "在除錯之前需要設定 LLM 提供者的金鑰。",
"notSetAPIKey.settingBtn": "去設定",
diff --git a/web/i18n/zh-Hant/common.json b/web/i18n/zh-Hant/common.json
index 85ff9cc687..9317f68f82 100644
--- a/web/i18n/zh-Hant/common.json
+++ b/web/i18n/zh-Hant/common.json
@@ -340,11 +340,25 @@
"modelProvider.auth.unAuthorized": "未經授權",
"modelProvider.buyQuota": "購買額度",
"modelProvider.callTimes": "呼叫次數",
+ "modelProvider.card.aiCreditsInUse": "AI 額度使用中",
+ "modelProvider.card.aiCreditsOption": "AI 額度",
+ "modelProvider.card.apiKeyOption": "API Key",
+ "modelProvider.card.apiKeyRequired": "需要配置 API Key",
+ "modelProvider.card.apiKeyUnavailableFallback": "API Key 不可用，正在使用 AI 額度",
+ "modelProvider.card.apiKeyUnavailableFallbackDescription": "檢查你的 API Key 配置以切換回來",
"modelProvider.card.buyQuota": "購買額度",
"modelProvider.card.callTimes": "呼叫次數",
+ "modelProvider.card.creditsExhaustedDescription": "請升級方案 或配置 API Key",
+ "modelProvider.card.creditsExhaustedFallback": "AI 額度已用盡，正在使用 API Key",
+ "modelProvider.card.creditsExhaustedFallbackDescription": "升級方案 以恢復 AI 額度優先使用。",
+ "modelProvider.card.creditsExhaustedMessage": "AI 額度已用盡",
"modelProvider.card.modelAPI": "{{modelName}} 模型正在使用 API Key。",
"modelProvider.card.modelNotSupported": "{{modelName}} 模型未安裝。",
"modelProvider.card.modelSupported": "{{modelName}} 模型正在使用此配額。",
+ "modelProvider.card.noApiKeysDescription": "新增 API Key 以使用自有模型憑證。",
+ "modelProvider.card.noApiKeysFallback": "未配置 API Key，正在使用 AI 額度",
+ "modelProvider.card.noApiKeysTitle": "尚未配置 API Key",
+ "modelProvider.card.noAvailableUsage": "無可用額度",
"modelProvider.card.onTrial": "試用中",
"modelProvider.card.paid": "已購買",
"modelProvider.card.priorityUse": "優先使用",
@@ -353,6 +367,11 @@
"modelProvider.card.removeKey": "刪除 API 金鑰",
"modelProvider.card.tip": "消息額度支持使用 {{modelNames}} 的模型；免費額度會在付費額度用盡後才會消耗。",
"modelProvider.card.tokens": "Tokens",
+ "modelProvider.card.unavailable": "不可用",
+ "modelProvider.card.upgradePlan": "升級方案",
+ "modelProvider.card.usageLabel": "用量",
+ "modelProvider.card.usagePriority": "使用優先順序",
+ "modelProvider.card.usagePriorityTip": "設定執行模型時優先使用的資源。",
"modelProvider.collapse": "收起",
"modelProvider.config": "配置",
"modelProvider.configLoadBalancing": "配置負載均衡",
@@ -387,9 +406,11 @@
"modelProvider.model": "模型",
"modelProvider.modelAndParameters": "模型及引數",
"modelProvider.modelHasBeenDeprecated": "此模型已棄用",
+ "modelProvider.modelSettings": "模型設定",
"modelProvider.models": "模型列表",
"modelProvider.modelsNum": "{{num}} 個模型",
"modelProvider.noModelFound": "找不到模型 {{model}}",
+ "modelProvider.noneConfigured": "配置預設系統模型以執行應用",
"modelProvider.notConfigured": "系統模型尚未完全配置，部分功能可能無法使用。",
"modelProvider.parameters": "引數",
"modelProvider.parametersInvalidRemoved": "一些參數無效，已被移除",
@@ -403,8 +424,25 @@
"modelProvider.resetDate": "於 {{date}} 重置",
"modelProvider.searchModel": "搜尋模型",
"modelProvider.selectModel": "選擇您的模型",
+ "modelProvider.selector.aiCredits": "AI 額度",
+ "modelProvider.selector.apiKeyUnavailable": "API Key 不可用",
+ "modelProvider.selector.apiKeyUnavailableTip": "API Key 已被移除，請重新配置 API Key。",
+ "modelProvider.selector.configure": "配置",
+ "modelProvider.selector.configureRequired": "需要配置",
+ "modelProvider.selector.creditsExhausted": "額度已用盡",
+ "modelProvider.selector.creditsExhaustedTip": "AI 額度已用盡，請升級方案或新增 API Key。",
+ "modelProvider.selector.disabled": "已停用",
+ "modelProvider.selector.discoverMoreInMarketplace": "在插件市場探索更多",
"modelProvider.selector.emptySetting": "請前往設定進行配置",
"modelProvider.selector.emptyTip": "無可用模型",
+ "modelProvider.selector.fromMarketplace": "從插件市場安裝",
+ "modelProvider.selector.incompatible": "不相容",
+ "modelProvider.selector.incompatibleTip": "此模型在目前版本中不可用，請選擇其他可用模型。",
+ "modelProvider.selector.install": "安裝",
+ "modelProvider.selector.modelProviderSettings": "模型供應商設定",
+ "modelProvider.selector.noProviderConfigured": "未配置模型供應商",
+ "modelProvider.selector.noProviderConfiguredDesc": "前往插件市場安裝，或在設定中配置供應商。",
+ "modelProvider.selector.onlyCompatibleModelsShown": "僅顯示相容的模型",
"modelProvider.selector.rerankTip": "請設定 Rerank 模型",
"modelProvider.selector.tip": "該模型已被刪除。請添模型或選擇其他模型。",
"modelProvider.setupModelFirst": "請先設定您的模型",
diff --git a/web/i18n/zh-Hant/plugin.json b/web/i18n/zh-Hant/plugin.json
index 20630f41ab..4e7d577aaa 100644
--- a/web/i18n/zh-Hant/plugin.json
+++ b/web/i18n/zh-Hant/plugin.json
@@ -3,6 +3,7 @@
"action.delete": "刪除插件",
"action.deleteContentLeft": "是否要刪除",
"action.deleteContentRight": "插件？",
+ "action.deleteSuccess": "插件移除成功",
"action.pluginInfo": "插件資訊",
"action.usedInApps": "此插件正在 {{num}} 個應用程式中使用。",
"allCategories": "全部分類",
@@ -114,6 +115,7 @@
"detailPanel.operation.install": "安裝",
"detailPanel.operation.remove": "刪除",
"detailPanel.operation.update": "更新",
+ "detailPanel.operation.updateTooltip": "更新以取得最新模型。",
"detailPanel.operation.viewDetail": "查看詳情",
"detailPanel.serviceOk": "服務正常",
"detailPanel.strategyNum": "{{num}} {{strategy}} 包括",
@@ -231,12 +233,18 @@
"source.local": "本地包檔",
"source.marketplace": "市場",
"task.clearAll": "全部清除",
+ "task.errorMsg.github": "此插件無法自動安裝。\n請從 GitHub 安裝。",
+ "task.errorMsg.marketplace": "此插件無法自動安裝。\n請從插件市場安裝。",
+ "task.errorMsg.unknown": "此插件無法安裝。\n無法識別插件來源。",
"task.errorPlugins": "Failed to Install Plugins",
"task.installError": "{{errorLength}} 個插件安裝失敗，點擊查看",
+ "task.installFromGithub": "從 GitHub 安裝",
+ "task.installFromMarketplace": "從插件市場安裝",
"task.installSuccess": "{{successLength}} plugins installed successfully",
"task.installed": "Installed",
"task.installedError": "{{errorLength}} 個插件安裝失敗",
"task.installing": "正在安裝插件。",
+ "task.installingHint": "正在安裝……可能需要幾分鐘。",
"task.installingWithError": "安裝 {{installingLength}} 個插件，{{successLength}} 成功，{{errorLength}} 失敗",
"task.installingWithSuccess": "安裝 {{installingLength}} 個插件，{{successLength}} 成功。",
"task.runningPlugins": "Installing Plugins",
diff --git a/web/i18n/zh-Hant/workflow.json b/web/i18n/zh-Hant/workflow.json
index 8a3c703f55..b739984977 100644
--- a/web/i18n/zh-Hant/workflow.json
+++ b/web/i18n/zh-Hant/workflow.json
@@ -305,6 +305,7 @@
"error.operations.updatingWorkflow": "更新工作流程",
"error.startNodeRequired": "請先新增一個起始節點，再執行 {{operation}}",
"errorMsg.authRequired": "請先授權",
+ "errorMsg.configureModel": "請配置模型",
"errorMsg.fieldRequired": "{{field}} 不能為空",
"errorMsg.fields.code": "程式碼",
"errorMsg.fields.model": "模型",
@@ -314,6 +315,7 @@
"errorMsg.fields.visionVariable": "Vision Variable",
"errorMsg.invalidJson": "{{field}} 是非法的 JSON",
"errorMsg.invalidVariable": "無效的變數",
+ "errorMsg.modelPluginNotInstalled": "無效的變數。請配置模型以啟用此變數。",
"errorMsg.noValidTool": "{{field}} 未選擇有效工具",
"errorMsg.rerankModelRequired": "在開啟 Rerank 模型之前，請在設置中確認模型配置成功。",
"errorMsg.startNodeRequired": "請先新增一個起始節點，再執行 {{operation}}",
@@ -444,6 +446,7 @@
"nodes.common.memory.windowSize": "記憶窗口",
"nodes.common.outputVars": "輸出變數",
"nodes.common.pluginNotInstalled": "插件未安裝",
+ "nodes.common.pluginsNotInstalled": "{{count}} 個插件未安裝",
"nodes.common.retry.maxRetries": "最大重試次數",
"nodes.common.retry.ms": "毫秒",
"nodes.common.retry.retries": "{{num}}重試",
@@ -686,9 +689,14 @@
"nodes.knowledgeBase.chunksInput": "區塊",
"nodes.knowledgeBase.chunksInputTip": "知識庫節點的輸入變數是 Chunks。該變數類型是一個物件，具有特定的 JSON Schema，必須與所選的塊結構一致。",
"nodes.knowledgeBase.chunksVariableIsRequired": "Chunks 變數是必需的",
+ "nodes.knowledgeBase.embeddingModelApiKeyUnavailable": "API Key 不可用",
+ "nodes.knowledgeBase.embeddingModelCreditsExhausted": "額度已用盡",
+ "nodes.knowledgeBase.embeddingModelIncompatible": "不相容",
"nodes.knowledgeBase.embeddingModelIsInvalid": "嵌入模型無效",
"nodes.knowledgeBase.embeddingModelIsRequired": "需要嵌入模型",
+ "nodes.knowledgeBase.embeddingModelNotConfigured": "Embedding 模型未配置",
"nodes.knowledgeBase.indexMethodIsRequired": "索引方法是必填的",
+ "nodes.knowledgeBase.notConfigured": "未配置",
"nodes.knowledgeBase.rerankingModelIsInvalid": "重排序模型無效",
"nodes.knowledgeBase.rerankingModelIsRequired": "需要重新排序模型",
"nodes.knowledgeBase.retrievalSettingIsRequired": "需要檢索設定",
@@ -872,6 +880,7 @@
"nodes.templateTransform.codeSupportTip": "只支持 Jinja2",
"nodes.templateTransform.inputVars": "輸入變數",
"nodes.templateTransform.outputVars.output": "轉換後內容",
+ "nodes.tool.authorizationRequired": "需要授權",
"nodes.tool.authorize": "授權",
"nodes.tool.inputVars": "輸入變數",
"nodes.tool.insertPlaceholder1": "輸入或按壓",
@@ -1062,10 +1071,12 @@
"panel.change": "更改",
"panel.changeBlock": "更改節點",
"panel.checklist": "檢查清單",
+ "panel.checklistDescription": "發佈前請解決以下問題",
"panel.checklistResolved": "所有問題均已解決",
"panel.checklistTip": "發佈前確保所有問題均已解決",
"panel.createdBy": "作者",
"panel.goTo": "前往",
+ "panel.goToFix": "前往修復",
"panel.helpLink": "查看幫助文件",
"panel.maximize": "最大化畫布",
"panel.minimize": "退出全螢幕",
diff --git a/web/package.json b/web/package.json
index 361f8e2e0e..65372ef5f5 100644
--- a/web/package.json
+++ b/web/package.json
@@ -220,11 +220,10 @@
"eslint-plugin-react-refresh": "0.5.2",
"eslint-plugin-sonarjs": "4.0.2",
"eslint-plugin-storybook": "10.3.1",
+ "happy-dom": "20.8.9",
"hono": "4.12.8",
"husky": "9.1.7",
"iconify-import-svg": "0.1.2",
- "jsdom": "29.0.1",
- "jsdom-testing-mocks": "1.16.0",
"knip": "6.0.2",
"lint-staged": "16.4.0",
"postcss": "8.5.8",
diff --git a/web/plugins/dev-proxy/server.spec.ts b/web/plugins/dev-proxy/server.spec.ts
index 9c950abae0..c57ec8b4fe 100644
--- a/web/plugins/dev-proxy/server.spec.ts
+++ b/web/plugins/dev-proxy/server.spec.ts
@@ -1,3 +1,6 @@
+/**
+ * @vitest-environment node
+ */
import { beforeEach, describe, expect, it, vi } from 'vitest'
import { buildUpstreamUrl, createDevProxyApp, isAllowedDevOrigin, resolveDevProxyTargets } from './server'
diff --git a/web/pnpm-lock.yaml b/web/pnpm-lock.yaml
index 191826d80d..cd1a8a8556 100644
--- a/web/pnpm-lock.yaml
+++ b/web/pnpm-lock.yaml
@@ -371,7 +371,7 @@ importers:
devDependencies:
'@antfu/eslint-config':
specifier: 7.7.3
- version: 7.7.3(@eslint-react/eslint-plugin@3.0.0(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@next/eslint-plugin-next@16.2.1)(@typescript-eslint/rule-tester@8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@typescript-eslint/typescript-estree@8.57.1(typescript@5.9.3))(@typescript-eslint/utils@8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(@vue/compiler-sfc@3.5.30)(eslint-plugin-react-hooks@7.0.1(eslint@10.1.0(jiti@1.21.7)))(eslint-plugin-react-refresh@0.5.2(eslint@10.1.0(jiti@1.21.7)))(eslint@10.1.0(jiti@1.21.7))(oxlint@1.56.0(oxlint-tsgolint@0.17.1))(typescript@5.9.3)
+ version: 7.7.3(@eslint-react/eslint-plugin@3.0.0(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@next/eslint-plugin-next@16.2.1)(@typescript-eslint/rule-tester@8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@typescript-eslint/typescript-estree@8.57.1(typescript@5.9.3))(@typescript-eslint/utils@8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(@vue/compiler-sfc@3.5.30)(eslint-plugin-react-hooks@7.0.1(eslint@10.1.0(jiti@1.21.7)))(eslint-plugin-react-refresh@0.5.2(eslint@10.1.0(jiti@1.21.7)))(eslint@10.1.0(jiti@1.21.7))(oxlint@1.56.0(oxlint-tsgolint@0.17.1))(typescript@5.9.3)
'@chromatic-com/storybook':
specifier: 5.0.2
version: 5.0.2(storybook@10.3.1(@testing-library/dom@10.4.1)(react-dom@19.2.4(react@19.2.4))(react@19.2.4))
@@ -506,7 +506,7 @@ importers:
version: 0.5.21(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(react-dom@19.2.4(react@19.2.4))(react-server-dom-webpack@19.2.4(react-dom@19.2.4(react@19.2.4))(react@19.2.4)(webpack@5.105.4(esbuild@0.27.2)(uglify-js@3.19.3)))(react@19.2.4)
'@vitest/coverage-v8':
specifier: 4.1.0
- version: 4.1.0(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))
+ version: 4.1.0(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))
agentation:
specifier: 2.3.3
version: 2.3.3(react-dom@19.2.4(react@19.2.4))(react@19.2.4)
@@ -546,6 +546,9 @@ importers:
eslint-plugin-storybook:
specifier: 10.3.1
version: 10.3.1(eslint@10.1.0(jiti@1.21.7))(storybook@10.3.1(@testing-library/dom@10.4.1)(react-dom@19.2.4(react@19.2.4))(react@19.2.4))(typescript@5.9.3)
+ happy-dom:
+ specifier: 20.8.9
+ version: 20.8.9
hono:
specifier: 4.12.8
version: 4.12.8
@@ -555,12 +558,6 @@ importers:
iconify-import-svg:
specifier: 0.1.2
version: 0.1.2
- jsdom:
- specifier: 29.0.1
- version: 29.0.1(canvas@3.2.2)
- jsdom-testing-mocks:
- specifier: 1.16.0
- version: 1.16.0
knip:
specifier: 6.0.2
version: 6.0.2
@@ -608,13 +605,13 @@ importers:
version: 11.3.3(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))
vite-plus:
specifier: 0.1.13
- version: 0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)
+ version: 0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)
vitest:
specifier: npm:@voidzero-dev/vite-plus-test@0.1.13
- version: '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)'
+ version: '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)'
vitest-canvas-mock:
specifier: 1.1.3
- version: 1.1.3(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))
+ version: 1.1.3(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))
packages:
@@ -771,12 +768,12 @@ packages:
'@antfu/utils@8.1.1':
resolution: {integrity: sha512-Mex9nXf9vR6AhcXmMrlz/HVgYYZpVGJ6YlPgwl7UnaFpnshXs6EK/oa5Gpf3CzENMjkvEx2tQtntGnb7UtSTOQ==}
- '@asamuzakjp/css-color@5.0.1':
- resolution: {integrity: sha512-2SZFvqMyvboVV1d15lMf7XiI3m7SDqXUuKaTymJYLN6dSGadqp+fVojqJlVoMlbZnlTmu3S0TLwLTJpvBMO1Aw==}
+ '@asamuzakjp/css-color@5.1.1':
+ resolution: {integrity: sha512-iGWN8E45Ws0XWx3D44Q1t6vX2LqhCKcwfmwBYCDsFrYFS6m4q/Ks61L2veETaLv+ckDC6+dTETJoaAAb7VjLiw==}
engines: {node: ^20.19.0 || ^22.12.0 || >=24.0.0}
- '@asamuzakjp/dom-selector@7.0.3':
- resolution: {integrity: sha512-Q6mU0Z6bfj6YvnX2k9n0JxiIwrCFN59x/nWmYQnAqP000ruX/yV+5bp/GRcF5T8ncvfwJQ7fgfP74DlpKExILA==}
+ '@asamuzakjp/dom-selector@7.0.4':
+ resolution: {integrity: sha512-jXR6x4AcT3eIrS2fSNAwJpwirOkGcd+E7F7CP3zjdTqz9B/2huHOL8YJZBgekKwLML+u7qB/6P1LXQuMScsx0w==}
engines: {node: ^20.19.0 || ^22.12.0 || >=24.0.0}
'@asamuzakjp/nwsapi@2.3.9':
@@ -960,8 +957,8 @@ packages:
peerDependencies:
'@csstools/css-tokenizer': ^4.0.0
- '@csstools/css-syntax-patches-for-csstree@1.1.1':
- resolution: {integrity: sha512-BvqN0AMWNAnLk9G8jnUT77D+mUbY/H2b3uDTvg2isJkHaOufUE2R3AOwxWo7VBQKT1lOdwdvorddo2B/lk64+w==}
+ '@csstools/css-syntax-patches-for-csstree@1.1.2':
+ resolution: {integrity: sha512-5GkLzz4prTIpoyeUiIu3iV6CSG3Plo7xRVOFPKI7FVEJ3mZ0A8SwK0XU3Gl7xAkiQ+mDyam+NNp875/C5y+jSA==}
peerDependencies:
css-tree: ^3.2.1
peerDependenciesMeta:
@@ -3510,6 +3507,12 @@ packages:
'@types/unist@3.0.3':
resolution: {integrity: sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q==}
+ '@types/whatwg-mimetype@3.0.2':
+ resolution: {integrity: sha512-c2AKvDT8ToxLIOUlN51gTiHXflsfIFisS4pO7pDPoKouJCESkhZnEy623gwP9laCy5lnLDAw1vAzu2vM2YLOrA==}
+
+ '@types/ws@8.18.1':
+ resolution: {integrity: sha512-ThVF6DCVhA8kUGy+aazFQ4kXQ7E1Ty7A3ypFOe0IcJV8O/M511G99AW24irKrW56Wt44yG9+ij8FaqoBGkuBXg==}
+
'@types/yauzl@2.10.3':
resolution: {integrity: sha512-oJoftv0LSuaDZE3Le4DbKX+KS9G36NzOeSap90UIK0yMA/NhKJhqlSGtNDORNRaIbQfzjXDrQa0ytJ6mNRGz/Q==}
@@ -4082,9 +4085,6 @@ packages:
engines: {node: '>=6.0.0'}
hasBin: true
- bezier-easing@2.1.0:
- resolution: {integrity: sha512-gbIqZ/eslnUFC1tjEvtz0sgx+xTK20wDnYMIA27VA04R7w6xxXQPZDbibjA9DTWZRA2CXtwHykkVzlCaAJAZig==}
-
bidi-js@1.0.3:
resolution: {integrity: sha512-RKshQI1R3YQ+n9YJz2QQ147P66ELpa1FQEg20Dk8oW9t2KgLbpDLLp9aGZ7y8WHSshDknG0bknqGw5/tyCs5tw==}
@@ -4385,9 +4385,6 @@ packages:
resolution: {integrity: sha512-3O5QdqgFRUbXvK1x5INf1YkBz1UKSWqrd63vWsum8MNHDBYD5urm3QtxZbKU259OrEXNM26lP/MPY3d1IGkBgA==}
engines: {node: '>=16'}
- css-mediaquery@0.1.2:
- resolution: {integrity: sha512-COtn4EROW5dBGlE/4PiKnh6rZpAPxDeFLaEEwt4i10jpDMFt2EhQGS79QmmrO+iKCHv0PU/HrOWEhijFd1x99Q==}
-
css-select@5.2.2:
resolution: {integrity: sha512-TizTzUddG/xYLA3NXodFM0fSbNizXjOKhqiQQwvhlspadZokn1KDy0NZFS0wuEubIYAV5/c1/lAr0TaaFXEXzw==}
@@ -5359,6 +5356,10 @@ packages:
hachure-fill@0.5.2:
resolution: {integrity: sha512-3GKBOn+m2LX9iq+JC1064cSFprJY4jL1jCXTcpnfER5HYE2l/4EfWSGzkPa/ZDBmYI0ZOEj5VHV/eKnPGkHuOg==}
+ happy-dom@20.8.9:
+ resolution: {integrity: sha512-Tz23LR9T9jOGVZm2x1EPdXqwA37G/owYMxRwU0E4miurAtFsPMQ1d2Jc2okUaSjZqAFz2oEn3FLXC5a0a+siyA==}
+ engines: {node: '>=20.0.0'}
+
has-flag@4.0.0:
resolution: {integrity: sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==}
engines: {node: '>=8'}
@@ -5690,10 +5691,6 @@ packages:
resolution: {integrity: sha512-/2uqY7x6bsrpi3i9LVU6J89352C0rpMk0as8trXxCtvd4kPk1ke/Eyif6wqfSLvoNJqcDG9Vk4UsXgygzCt2xA==}
engines: {node: '>=20.0.0'}
- jsdom-testing-mocks@1.16.0:
- resolution: {integrity: sha512-wLrulXiLpjmcUYOYGEvz4XARkrmdVpyxzdBl9IAMbQ+ib2/UhUTRCn49McdNfXLff2ysGBUms49ZKX0LR1Q0gg==}
- engines: {node: '>=14'}
-
jsdom@29.0.1:
resolution: {integrity: sha512-z6JOK5gRO7aMybVq/y/MlIpKh8JIi68FBKMUtKkK2KH/wMSRlCxQ682d08LB9fYXplyY/UXG8P4XXTScmdjApg==}
engines: {node: ^20.19.0 || ^22.13.0 || >=24.0.0}
@@ -7316,6 +7313,10 @@ packages:
resolution: {integrity: sha512-g9ljZiwki/LfxmQADO3dEY1CbpmXT5Hm2fJ+QaGKwSXUylMybePR7/67YW7jOrrvjEgL1Fmz5kzyAjWVWLlucg==}
engines: {node: '>=6'}
+ tapable@2.3.2:
+ resolution: {integrity: sha512-1MOpMXuhGzGL5TTCZFItxCc0AARf1EZFQkGqMm7ERKj8+Hgr5oLvJOVFcC+lRmR8hCe2S3jC4T5D7Vg/d7/fhA==}
+ engines: {node: '>=6'}
+
tar-fs@2.1.4:
resolution: {integrity: sha512-mDAjwmZdh7LTT6pNleZ05Yt65HC3E+NiQzl672vQG38jIrehtJk/J3mNwIg+vShQPcLF/LV7CMnDW6vjj6sfYQ==}
@@ -7535,8 +7536,8 @@ packages:
resolution: {integrity: sha512-jxytwMHhsbdpBXxLAcuu0fzlQeXCNnWdDyRHpvWsUl8vd98UwYdl9YTyn8/HcpcJPC3pwUveefsa3zTxyD/ERg==}
engines: {node: '>=20.18.1'}
- undici@7.24.5:
- resolution: {integrity: sha512-3IWdCpjgxp15CbJnsi/Y9TCDE7HWVN19j1hmzVhoAkY/+CJx449tVxT5wZc1Gwg8J+P0LWvzlBzxYRnHJ+1i7Q==}
+ undici@7.24.6:
+ resolution: {integrity: sha512-Xi4agocCbRzt0yYMZGMA6ApD7gvtUFaxm4ZmeacWI4cZxaF6C+8I8QfofC20NAePiB/IcvZmzkJ7XPa471AEtA==}
engines: {node: '>=20.18.1'}
unicode-trie@2.0.0:
@@ -7683,7 +7684,7 @@ packages:
resolution: {integrity: sha512-KzIbH/9tXat2u30jf+smMwFCsno4wHVdNmzFyL+T/L3UGqqk6JKfVqOFOZEpZSHADH1k40ab6NUIXZq422ov3Q==}
vinext@https://pkg.pr.new/vinext@b6a2cac:
- resolution: {integrity: sha512-/Jm507qqC1dCOhCaorb9H8/I5JEqkcsiUJw0Wgprg7Znym4eyLUvcWcRLVyM9z22Tm0+O1PugcSDA8oNvbqPuQ==, tarball: https://pkg.pr.new/vinext@b6a2cac}
+ resolution: {tarball: https://pkg.pr.new/vinext@b6a2cac}
version: 0.0.5
engines: {node: '>=22'}
hasBin: true
@@ -7841,6 +7842,10 @@ packages:
engines: {node: '>=18'}
deprecated: Use @exodus/bytes instead for a more spec-conformant and faster implementation
+ whatwg-mimetype@3.0.0:
+ resolution: {integrity: sha512-nt+N2dzIutVRxARx1nghPKGv1xHikU7HKdfafKkLNLindmPU/ch3U31NOCGGA/dmPcmb1VlofO0vnKAcsm0o/Q==}
+ engines: {node: '>=12'}
+
whatwg-mimetype@4.0.0:
resolution: {integrity: sha512-QaKxh0eNIi2mE9p2vEdzfagOKHCcj1pJ56EEHGQOVxp8r9/iszLUUV7v89x9O1p/T+NlTM5W7jW6+cz4Fq1YVg==}
engines: {node: '>=18'}
@@ -7881,6 +7886,18 @@ packages:
utf-8-validate:
optional: true
+ ws@8.20.0:
+ resolution: {integrity: sha512-sAt8BhgNbzCtgGbt2OxmpuryO63ZoDk/sqaB/znQm94T4fCEsy/yV+7CdC1kJhOU9lboAEU7R3kquuycDoibVA==}
+ engines: {node: '>=10.0.0'}
+ peerDependencies:
+ bufferutil: ^4.0.1
+ utf-8-validate: '>=5.0.2'
+ peerDependenciesMeta:
+ bufferutil:
+ optional: true
+ utf-8-validate:
+ optional: true
+
wsl-utils@0.1.0:
resolution: {integrity: sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw==}
engines: {node: '>=18'}
@@ -8140,7 +8157,7 @@ snapshots:
idb: 8.0.0
tslib: 2.8.1
- '@antfu/eslint-config@7.7.3(@eslint-react/eslint-plugin@3.0.0(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@next/eslint-plugin-next@16.2.1)(@typescript-eslint/rule-tester@8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@typescript-eslint/typescript-estree@8.57.1(typescript@5.9.3))(@typescript-eslint/utils@8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(@vue/compiler-sfc@3.5.30)(eslint-plugin-react-hooks@7.0.1(eslint@10.1.0(jiti@1.21.7)))(eslint-plugin-react-refresh@0.5.2(eslint@10.1.0(jiti@1.21.7)))(eslint@10.1.0(jiti@1.21.7))(oxlint@1.56.0(oxlint-tsgolint@0.17.1))(typescript@5.9.3)':
+ '@antfu/eslint-config@7.7.3(@eslint-react/eslint-plugin@3.0.0(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@next/eslint-plugin-next@16.2.1)(@typescript-eslint/rule-tester@8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@typescript-eslint/typescript-estree@8.57.1(typescript@5.9.3))(@typescript-eslint/utils@8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(@vue/compiler-sfc@3.5.30)(eslint-plugin-react-hooks@7.0.1(eslint@10.1.0(jiti@1.21.7)))(eslint-plugin-react-refresh@0.5.2(eslint@10.1.0(jiti@1.21.7)))(eslint@10.1.0(jiti@1.21.7))(oxlint@1.56.0(oxlint-tsgolint@0.17.1))(typescript@5.9.3)':
dependencies:
'@antfu/install-pkg': 1.1.0
'@clack/prompts': 1.1.0
@@ -8150,7 +8167,7 @@ snapshots:
'@stylistic/eslint-plugin': 5.10.0(eslint@10.1.0(jiti@1.21.7))
'@typescript-eslint/eslint-plugin': 8.57.1(@typescript-eslint/parser@8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3))(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3)
'@typescript-eslint/parser': 8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3)
- '@vitest/eslint-plugin': 1.6.12(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3)
+ '@vitest/eslint-plugin': 1.6.12(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3)
ansis: 4.2.0
cac: 7.0.0
eslint: 10.1.0(jiti@1.21.7)
@@ -8210,23 +8227,26 @@ snapshots:
'@antfu/utils@8.1.1': {}
- '@asamuzakjp/css-color@5.0.1':
+ '@asamuzakjp/css-color@5.1.1':
dependencies:
'@csstools/css-calc': 3.1.1(@csstools/css-parser-algorithms@4.0.0(@csstools/css-tokenizer@4.0.0))(@csstools/css-tokenizer@4.0.0)
'@csstools/css-color-parser': 4.0.2(@csstools/css-parser-algorithms@4.0.0(@csstools/css-tokenizer@4.0.0))(@csstools/css-tokenizer@4.0.0)
'@csstools/css-parser-algorithms': 4.0.0(@csstools/css-tokenizer@4.0.0)
'@csstools/css-tokenizer': 4.0.0
lru-cache: 11.2.7
+ optional: true
- '@asamuzakjp/dom-selector@7.0.3':
+ '@asamuzakjp/dom-selector@7.0.4':
dependencies:
'@asamuzakjp/nwsapi': 2.3.9
bidi-js: 1.0.3
css-tree: 3.2.1
is-potential-custom-element-name: 1.0.1
lru-cache: 11.2.7
+ optional: true
- '@asamuzakjp/nwsapi@2.3.9': {}
+ '@asamuzakjp/nwsapi@2.3.9':
+ optional: true
'@babel/code-frame@7.29.0':
dependencies:
@@ -8361,6 +8381,7 @@ snapshots:
'@bramus/specificity@2.4.2':
dependencies:
css-tree: 3.2.1
+ optional: true
'@chevrotain/cst-dts-gen@11.1.2':
dependencies:
@@ -8453,12 +8474,14 @@ snapshots:
transitivePeerDependencies:
- supports-color
- '@csstools/color-helpers@6.0.2': {}
+ '@csstools/color-helpers@6.0.2':
+ optional: true
'@csstools/css-calc@3.1.1(@csstools/css-parser-algorithms@4.0.0(@csstools/css-tokenizer@4.0.0))(@csstools/css-tokenizer@4.0.0)':
dependencies:
'@csstools/css-parser-algorithms': 4.0.0(@csstools/css-tokenizer@4.0.0)
'@csstools/css-tokenizer': 4.0.0
+ optional: true
'@csstools/css-color-parser@4.0.2(@csstools/css-parser-algorithms@4.0.0(@csstools/css-tokenizer@4.0.0))(@csstools/css-tokenizer@4.0.0)':
dependencies:
@@ -8466,16 +8489,20 @@ snapshots:
'@csstools/css-calc': 3.1.1(@csstools/css-parser-algorithms@4.0.0(@csstools/css-tokenizer@4.0.0))(@csstools/css-tokenizer@4.0.0)
'@csstools/css-parser-algorithms': 4.0.0(@csstools/css-tokenizer@4.0.0)
'@csstools/css-tokenizer': 4.0.0
+ optional: true
'@csstools/css-parser-algorithms@4.0.0(@csstools/css-tokenizer@4.0.0)':
dependencies:
'@csstools/css-tokenizer': 4.0.0
+ optional: true
- '@csstools/css-syntax-patches-for-csstree@1.1.1(css-tree@3.2.1)':
+ '@csstools/css-syntax-patches-for-csstree@1.1.2(css-tree@3.2.1)':
optionalDependencies:
css-tree: 3.2.1
+ optional: true
- '@csstools/css-tokenizer@4.0.0': {}
+ '@csstools/css-tokenizer@4.0.0':
+ optional: true
'@e18e/eslint-plugin@0.2.0(eslint@10.1.0(jiti@1.21.7))(oxlint@1.56.0(oxlint-tsgolint@0.17.1))':
dependencies:
@@ -8777,7 +8804,8 @@ snapshots:
'@eslint/core': 1.1.1
levn: 0.4.1
- '@exodus/bytes@1.15.0': {}
+ '@exodus/bytes@1.15.0':
+ optional: true
'@floating-ui/core@1.7.5':
dependencies:
@@ -10356,7 +10384,7 @@ snapshots:
'@tanstack/devtools-event-bus@0.4.1':
dependencies:
- ws: 8.19.0
+ ws: 8.20.0
transitivePeerDependencies:
- bufferutil
- utf-8-validate
@@ -10814,6 +10842,12 @@ snapshots:
'@types/unist@3.0.3': {}
+ '@types/whatwg-mimetype@3.0.2': {}
+
+ '@types/ws@8.18.1':
+ dependencies:
+ '@types/node': 25.5.0
+
'@types/yauzl@2.10.3':
dependencies:
'@types/node': 25.5.0
@@ -11019,7 +11053,7 @@ snapshots:
optionalDependencies:
react-server-dom-webpack: 19.2.4(react-dom@19.2.4(react@19.2.4))(react@19.2.4)(webpack@5.105.4(esbuild@0.27.2)(uglify-js@3.19.3))
- '@vitest/coverage-v8@4.1.0(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))':
+ '@vitest/coverage-v8@4.1.0(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))':
dependencies:
'@bcoe/v8-coverage': 1.0.2
'@vitest/utils': 4.1.0
@@ -11031,16 +11065,16 @@ snapshots:
obug: 2.1.1
std-env: 4.0.0
tinyrainbow: 3.1.0
- vitest: '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)'
+ vitest: '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)'
- '@vitest/eslint-plugin@1.6.12(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3)':
+ '@vitest/eslint-plugin@1.6.12(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3)':
dependencies:
'@typescript-eslint/scope-manager': 8.57.1
'@typescript-eslint/utils': 8.57.1(eslint@10.1.0(jiti@1.21.7))(typescript@5.9.3)
eslint: 10.1.0(jiti@1.21.7)
optionalDependencies:
typescript: 5.9.3
- vitest: '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)'
+ vitest: '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)'
transitivePeerDependencies:
- supports-color
@@ -11105,7 +11139,7 @@ snapshots:
'@voidzero-dev/vite-plus-linux-x64-gnu@0.1.13':
optional: true
- '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)':
+ '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)':
dependencies:
'@standard-schema/spec': 1.1.0
'@types/chai': 5.2.3
@@ -11123,6 +11157,7 @@ snapshots:
ws: 8.19.0
optionalDependencies:
'@types/node': 25.5.0
+ happy-dom: 20.8.9
jsdom: 29.0.1(canvas@3.2.2)
transitivePeerDependencies:
- '@arethetypeswrong/core'
@@ -11419,11 +11454,10 @@ snapshots:
baseline-browser-mapping@2.10.8: {}
- bezier-easing@2.1.0: {}
-
bidi-js@1.0.3:
dependencies:
require-from-string: 2.0.2
+ optional: true
binary-extensions@2.3.0: {}
@@ -11715,8 +11749,6 @@ snapshots:
css-gradient-parser@0.0.16: {}
- css-mediaquery@0.1.2: {}
-
css-select@5.2.2:
dependencies:
boolbase: 1.0.0
@@ -11745,6 +11777,7 @@ snapshots:
dependencies:
mdn-data: 2.27.1
source-map-js: 1.2.1
+ optional: true
css-what@6.2.2: {}
@@ -11950,6 +11983,7 @@ snapshots:
whatwg-url: 16.0.1
transitivePeerDependencies:
- '@noble/hashes'
+ optional: true
dayjs@1.11.20: {}
@@ -12897,6 +12931,18 @@ snapshots:
hachure-fill@0.5.2: {}
+ happy-dom@20.8.9:
+ dependencies:
+ '@types/node': 25.5.0
+ '@types/whatwg-mimetype': 3.0.2
+ '@types/ws': 8.18.1
+ entities: 7.0.1
+ whatwg-mimetype: 3.0.0
+ ws: 8.20.0
+ transitivePeerDependencies:
+ - bufferutil
+ - utf-8-validate
+
has-flag@4.0.0: {}
hast-util-from-dom@5.0.1:
@@ -13061,6 +13107,7 @@ snapshots:
'@exodus/bytes': 1.15.0
transitivePeerDependencies:
- '@noble/hashes'
+ optional: true
html-entities@2.6.0: {}
@@ -13199,7 +13246,8 @@ snapshots:
is-plain-obj@4.1.0: {}
- is-potential-custom-element-name@1.0.1: {}
+ is-potential-custom-element-name@1.0.1:
+ optional: true
is-reference@3.0.3:
dependencies:
@@ -13261,17 +13309,12 @@ snapshots:
jsdoc-type-pratt-parser@7.1.1: {}
- jsdom-testing-mocks@1.16.0:
- dependencies:
- bezier-easing: 2.1.0
- css-mediaquery: 0.1.2
-
jsdom@29.0.1(canvas@3.2.2):
dependencies:
- '@asamuzakjp/css-color': 5.0.1
- '@asamuzakjp/dom-selector': 7.0.3
+ '@asamuzakjp/css-color': 5.1.1
+ '@asamuzakjp/dom-selector': 7.0.4
'@bramus/specificity': 2.4.2
- '@csstools/css-syntax-patches-for-csstree': 1.1.1(css-tree@3.2.1)
+ '@csstools/css-syntax-patches-for-csstree': 1.1.2(css-tree@3.2.1)
'@exodus/bytes': 1.15.0
css-tree: 3.2.1
data-urls: 7.0.0
@@ -13283,7 +13326,7 @@ snapshots:
saxes: 6.0.0
symbol-tree: 3.2.4
tough-cookie: 6.0.1
- undici: 7.24.5
+ undici: 7.24.6
w3c-xmlserializer: 5.0.0
webidl-conversions: 8.0.1
whatwg-mimetype: 5.0.0
@@ -13293,6 +13336,7 @@ snapshots:
canvas: 3.2.2
transitivePeerDependencies:
- '@noble/hashes'
+ optional: true
jsesc@3.1.0: {}
@@ -13753,7 +13797,8 @@ snapshots:
mdn-data@2.23.0: {}
- mdn-data@2.27.1: {}
+ mdn-data@2.27.1:
+ optional: true
memoize-one@5.2.1: {}
@@ -15121,6 +15166,7 @@ snapshots:
saxes@6.0.0:
dependencies:
xmlchars: 2.2.0
+ optional: true
scheduler@0.27.0: {}
@@ -15397,7 +15443,8 @@ snapshots:
picocolors: 1.1.1
sax: 1.6.0
- symbol-tree@3.2.4: {}
+ symbol-tree@3.2.4:
+ optional: true
synckit@0.11.12:
dependencies:
@@ -15443,6 +15490,8 @@ snapshots:
tapable@2.3.0: {}
+ tapable@2.3.2: {}
+
tar-fs@2.1.4:
dependencies:
chownr: 1.1.4
@@ -15559,10 +15608,12 @@ snapshots:
tough-cookie@6.0.1:
dependencies:
tldts: 7.0.27
+ optional: true
tr46@6.0.0:
dependencies:
punycode: 2.3.1
+ optional: true
trim-lines@3.0.1: {}
@@ -15655,7 +15706,8 @@ snapshots:
undici@7.24.0: {}
- undici@7.24.5: {}
+ undici@7.24.6:
+ optional: true
unicode-trie@2.0.0:
dependencies:
@@ -15879,11 +15931,11 @@ snapshots:
- supports-color
- typescript
- vite-plus@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3):
+ vite-plus@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3):
dependencies:
'@oxc-project/types': 0.120.0
'@voidzero-dev/vite-plus-core': 0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)
- '@voidzero-dev/vite-plus-test': 0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)
+ '@voidzero-dev/vite-plus-test': 0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)
cac: 7.0.0
cross-spawn: 7.0.6
oxfmt: 0.41.0
@@ -15950,11 +16002,11 @@ snapshots:
optionalDependencies:
vite: '@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)'
- vitest-canvas-mock@1.1.3(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)):
+ vitest-canvas-mock@1.1.3(@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)):
dependencies:
cssfontparser: 1.2.1
moo-color: 1.0.3
- vitest: '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)'
+ vitest: '@voidzero-dev/vite-plus-test@0.1.13(@types/node@25.5.0)(@voidzero-dev/vite-plus-core@0.1.13(@types/node@25.5.0)(esbuild@0.27.2)(jiti@1.21.7)(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3))(esbuild@0.27.2)(happy-dom@20.8.9)(jiti@1.21.7)(jsdom@29.0.1(canvas@3.2.2))(sass@1.98.0)(terser@5.46.1)(tsx@4.21.0)(typescript@5.9.3)(yaml@2.8.3)'
void-elements@3.1.0: {}
@@ -15990,6 +16042,7 @@ snapshots:
w3c-xmlserializer@5.0.0:
dependencies:
xml-name-validator: 5.0.0
+ optional: true
walk-up-path@4.0.0: {}
@@ -16002,7 +16055,8 @@ snapshots:
web-vitals@5.1.0: {}
- webidl-conversions@8.0.1: {}
+ webidl-conversions@8.0.1:
+ optional: true
webpack-sources@3.3.4: {}
@@ -16031,7 +16085,7 @@ snapshots:
mime-types: 2.1.35
neo-async: 2.6.2
schema-utils: 4.3.3
- tapable: 2.3.0
+ tapable: 2.3.2
terser-webpack-plugin: 5.4.0(esbuild@0.27.2)(uglify-js@3.19.3)(webpack@5.105.4(esbuild@0.27.2)(uglify-js@3.19.3))
watchpack: 2.5.1
webpack-sources: 3.3.4
@@ -16044,9 +16098,12 @@ snapshots:
dependencies:
iconv-lite: 0.6.3
+ whatwg-mimetype@3.0.0: {}
+
whatwg-mimetype@4.0.0: {}
- whatwg-mimetype@5.0.0: {}
+ whatwg-mimetype@5.0.0:
+ optional: true
whatwg-url@16.0.1:
dependencies:
@@ -16055,6 +16112,7 @@ snapshots:
webidl-conversions: 8.0.1
transitivePeerDependencies:
- '@noble/hashes'
+ optional: true
which@2.0.2:
dependencies:
@@ -16072,15 +16130,19 @@ snapshots:
ws@8.19.0: {}
+ ws@8.20.0: {}
+
wsl-utils@0.1.0:
dependencies:
is-wsl: 3.1.1
xml-name-validator@4.0.0: {}
- xml-name-validator@5.0.0: {}
+ xml-name-validator@5.0.0:
+ optional: true
- xmlchars@2.2.0: {}
+ xmlchars@2.2.0:
+ optional: true
xtend@4.0.2: {}
diff --git a/web/vite.config.ts b/web/vite.config.ts
index 617cae9ab5..28746f81ca 100644
--- a/web/vite.config.ts
+++ b/web/vite.config.ts
@@ -75,7 +75,8 @@ export default defineConfig(({ mode }) => {
// Vitest config
test: {
- environment: 'jsdom',
+ pool: 'threads',
+ environment: 'happy-dom',
globals: true,
setupFiles: ['./vitest.setup.ts'],
coverage: {
diff --git a/web/vitest.setup.ts b/web/vitest.setup.ts
index e63ea2b54e..ac26ac5d25 100644
--- a/web/vitest.setup.ts
+++ b/web/vitest.setup.ts
@@ -1,14 +1,8 @@
import { act, cleanup } from '@testing-library/react'
-import { mockAnimationsApi, mockResizeObserver } from 'jsdom-testing-mocks'
import * as React from 'react'
import '@testing-library/jest-dom/vitest'
import 'vitest-canvas-mock'
-mockResizeObserver()
-
-// Mock Web Animations API for Headless UI
-mockAnimationsApi()
-
// Suppress act() warnings from @headlessui/react internal Transition component
// These warnings are caused by Headless UI's internal async state updates, not our code
const originalConsoleError = console.error
@@ -77,24 +71,10 @@ if (typeof globalThis.IntersectionObserver === 'undefined') {
}
}
-// Mock Element.scrollIntoView for tests (not available in happy-dom/jsdom)
-if (typeof Element !== 'undefined' && !Element.prototype.scrollIntoView)
- Element.prototype.scrollIntoView = function () { /* noop */ }
-
-// Mock DOMRect.fromRect for tests (not available in jsdom)
-if (typeof DOMRect !== 'undefined' && typeof (DOMRect as typeof DOMRect & { fromRect?: unknown }).fromRect !== 'function') {
- (DOMRect as typeof DOMRect & { fromRect: (rect?: DOMRectInit) => DOMRect }).fromRect = (rect = {}) => new DOMRect(
- rect.x ?? 0,
- rect.y ?? 0,
- rect.width ?? 0,
- rect.height ?? 0,
- )
-}
-
afterEach(async () => {
// Wrap cleanup in act() to flush pending React scheduler work
// This prevents "window is not defined" errors from React 19's scheduler
- // which uses setImmediate/MessageChannel that can fire after jsdom cleanup
+ // which uses setImmediate/MessageChannel that can fire after DOM cleanup
await act(async () => {
cleanup()
})
@@ -131,19 +111,97 @@ vi.mock('@floating-ui/react', async () => {
}
})
-// mock window.matchMedia
-Object.defineProperty(window, 'matchMedia', {
- writable: true,
- value: vi.fn().mockImplementation(query => ({
- matches: false,
- media: query,
- onchange: null,
- addListener: vi.fn(), // deprecated
- removeListener: vi.fn(), // deprecated
- addEventListener: vi.fn(),
- removeEventListener: vi.fn(),
- dispatchEvent: vi.fn(),
- })),
+vi.mock('@monaco-editor/react', () => {
+ const createEditorMock = () => {
+ const focusListeners: Array<() => void> = []
+ const blurListeners: Array<() => void> = []
+
+ return {
+ getContentHeight: vi.fn(() => 56),
+ onDidFocusEditorText: vi.fn((listener: () => void) => {
+ focusListeners.push(listener)
+ return { dispose: vi.fn() }
+ }),
+ onDidBlurEditorText: vi.fn((listener: () => void) => {
+ blurListeners.push(listener)
+ return { dispose: vi.fn() }
+ }),
+ layout: vi.fn(),
+ getAction: vi.fn(() => ({ run: vi.fn() })),
+ getModel: vi.fn(() => ({
+ getLineContent: vi.fn(() => ''),
+ })),
+ getPosition: vi.fn(() => ({ lineNumber: 1, column: 1 })),
+ deltaDecorations: vi.fn(() => []),
+ focus: vi.fn(() => {
+ focusListeners.forEach(listener => listener())
+ }),
+ setPosition: vi.fn(),
+ revealLine: vi.fn(),
+ trigger: vi.fn(),
+ __blur: () => {
+ blurListeners.forEach(listener => listener())
+ },
+ }
+ }
+
+ const monacoMock = {
+ editor: {
+ setTheme: vi.fn(),
+ defineTheme: vi.fn(),
+ },
+ Range: class {
+ startLineNumber: number
+ startColumn: number
+ endLineNumber: number
+ endColumn: number
+ constructor(startLineNumber: number, startColumn: number, endLineNumber: number, endColumn: number) {
+ this.startLineNumber = startLineNumber
+ this.startColumn = startColumn
+ this.endLineNumber = endLineNumber
+ this.endColumn = endColumn
+ }
+ },
+ }
+
+ const MonacoEditor = ({
+ value = '',
+ onChange,
+ onMount,
+ options,
+ }: {
+ value?: string
+ onChange?: (value: string | undefined) => void
+ onMount?: (editor: ReturnType, monaco: typeof monacoMock) => void
+ options?: { readOnly?: boolean }
+ }) => {
+ const editorRef = React.useRef | null>(null)
+ if (!editorRef.current)
+ editorRef.current = createEditorMock()
+
+ React.useEffect(() => {
+ onMount?.(editorRef.current!, monacoMock)
+ }, [onMount])
+
+ return React.createElement('textarea', {
+ 'data-testid': 'monaco-editor',
+ 'readOnly': options?.readOnly,
+ value,
+ 'onChange': (event: React.ChangeEvent) => onChange?.(event.target.value),
+ 'onFocus': () => editorRef.current?.focus(),
+ 'onBlur': () => editorRef.current?.__blur(),
+ })
+ }
+
+ return {
+ __esModule: true,
+ default: MonacoEditor,
+ Editor: MonacoEditor,
+ loader: {
+ config: vi.fn(),
+ init: vi.fn().mockResolvedValue(monacoMock),
+ },
+ }
})
// Mock localStorage for testing