feat: add a flask_context_manager. (#21061)

Signed-off-by: -LAN- <laipz8200@outlook.com>
This commit is contained in:
-LAN-
2025-06-17 16:31:29 +08:00
committed by GitHub
parent 7a2a8a2ffd
commit 0dcacdf83d
8 changed files with 239 additions and 126 deletions

View File

@@ -5,7 +5,7 @@ import uuid
from collections.abc import Generator, Mapping
from typing import Any, Literal, Optional, Union, overload
from flask import Flask, copy_current_request_context, current_app, has_request_context
from flask import Flask, current_app
from pydantic import ValidationError
from sqlalchemy.orm import sessionmaker
@@ -31,6 +31,7 @@ from core.workflow.repositories.workflow_execution_repository import WorkflowExe
from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from extensions.ext_database import db
from factories import file_factory
from libs.flask_utils import preserve_flask_contexts
from models import Account, App, Conversation, EndUser, Message, Workflow, WorkflowNodeExecutionTriggeredFrom
from models.enums import WorkflowRunTriggeredFrom
from services.conversation_service import ConversationService
@@ -399,20 +400,17 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
# new thread with request context and contextvars
context = contextvars.copy_context()
@copy_current_request_context
def worker_with_context():
# Run the worker within the copied context
return context.run(
self._generate_worker,
flask_app=current_app._get_current_object(), # type: ignore
application_generate_entity=application_generate_entity,
queue_manager=queue_manager,
conversation_id=conversation.id,
message_id=message.id,
context=context,
)
worker_thread = threading.Thread(target=worker_with_context)
worker_thread = threading.Thread(
target=self._generate_worker,
kwargs={
"flask_app": current_app._get_current_object(), # type: ignore
"application_generate_entity": application_generate_entity,
"queue_manager": queue_manager,
"conversation_id": conversation.id,
"message_id": message.id,
"context": context,
},
)
worker_thread.start()
@@ -449,24 +447,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
:param message_id: message ID
:return:
"""
for var, val in context.items():
var.set(val)
# FIXME(-LAN-): Save current user before entering new app context
from flask import g
saved_user = None
if has_request_context() and hasattr(g, "_login_user"):
saved_user = g._login_user
with flask_app.app_context():
with preserve_flask_contexts(flask_app, context_vars=context):
try:
# Restore user in new app context
if saved_user is not None:
from flask import g
g._login_user = saved_user
# get conversation and message
conversation = self._get_conversation(conversation_id)
message = self._get_message(message_id)

View File

@@ -5,7 +5,7 @@ import uuid
from collections.abc import Generator, Mapping
from typing import Any, Literal, Union, overload
from flask import Flask, copy_current_request_context, current_app, has_request_context
from flask import Flask, current_app
from pydantic import ValidationError
from configs import dify_config
@@ -23,6 +23,7 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.ops.ops_trace_manager import TraceQueueManager
from extensions.ext_database import db
from factories import file_factory
from libs.flask_utils import preserve_flask_contexts
from models import Account, App, EndUser
from services.conversation_service import ConversationService
from services.errors.message import MessageNotExistsError
@@ -182,20 +183,17 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
# new thread with request context and contextvars
context = contextvars.copy_context()
@copy_current_request_context
def worker_with_context():
# Run the worker within the copied context
return context.run(
self._generate_worker,
flask_app=current_app._get_current_object(), # type: ignore
context=context,
application_generate_entity=application_generate_entity,
queue_manager=queue_manager,
conversation_id=conversation.id,
message_id=message.id,
)
worker_thread = threading.Thread(target=worker_with_context)
worker_thread = threading.Thread(
target=self._generate_worker,
kwargs={
"flask_app": current_app._get_current_object(), # type: ignore
"context": context,
"application_generate_entity": application_generate_entity,
"queue_manager": queue_manager,
"conversation_id": conversation.id,
"message_id": message.id,
},
)
worker_thread.start()
@@ -229,24 +227,9 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
:param message_id: message ID
:return:
"""
for var, val in context.items():
var.set(val)
# FIXME(-LAN-): Save current user before entering new app context
from flask import g
saved_user = None
if has_request_context() and hasattr(g, "_login_user"):
saved_user = g._login_user
with flask_app.app_context():
with preserve_flask_contexts(flask_app, context_vars=context):
try:
# Restore user in new app context
if saved_user is not None:
from flask import g
g._login_user = saved_user
# get conversation and message
conversation = self._get_conversation(conversation_id)
message = self._get_message(message_id)

View File

@@ -5,7 +5,7 @@ import uuid
from collections.abc import Generator, Mapping, Sequence
from typing import Any, Literal, Optional, Union, overload
from flask import Flask, copy_current_request_context, current_app, has_request_context
from flask import Flask, current_app
from pydantic import ValidationError
from sqlalchemy.orm import sessionmaker
@@ -29,6 +29,7 @@ from core.workflow.repositories.workflow_execution_repository import WorkflowExe
from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from extensions.ext_database import db
from factories import file_factory
from libs.flask_utils import preserve_flask_contexts
from models import Account, App, EndUser, Workflow, WorkflowNodeExecutionTriggeredFrom
from models.enums import WorkflowRunTriggeredFrom
@@ -209,19 +210,16 @@ class WorkflowAppGenerator(BaseAppGenerator):
# new thread with request context and contextvars
context = contextvars.copy_context()
@copy_current_request_context
def worker_with_context():
# Run the worker within the copied context
return context.run(
self._generate_worker,
flask_app=current_app._get_current_object(), # type: ignore
application_generate_entity=application_generate_entity,
queue_manager=queue_manager,
context=context,
workflow_thread_pool_id=workflow_thread_pool_id,
)
worker_thread = threading.Thread(target=worker_with_context)
worker_thread = threading.Thread(
target=self._generate_worker,
kwargs={
"flask_app": current_app._get_current_object(), # type: ignore
"application_generate_entity": application_generate_entity,
"queue_manager": queue_manager,
"context": context,
"workflow_thread_pool_id": workflow_thread_pool_id,
},
)
worker_thread.start()
@@ -408,24 +406,9 @@ class WorkflowAppGenerator(BaseAppGenerator):
:param workflow_thread_pool_id: workflow thread pool id
:return:
"""
for var, val in context.items():
var.set(val)
# FIXME(-LAN-): Save current user before entering new app context
from flask import g
saved_user = None
if has_request_context() and hasattr(g, "_login_user"):
saved_user = g._login_user
with flask_app.app_context():
with preserve_flask_contexts(flask_app, context_vars=context):
try:
# Restore user in new app context
if saved_user is not None:
from flask import g
g._login_user = saved_user
# workflow app
runner = WorkflowAppRunner(
application_generate_entity=application_generate_entity,

View File

@@ -9,7 +9,7 @@ from copy import copy, deepcopy
from datetime import UTC, datetime
from typing import Any, Optional, cast
from flask import Flask, current_app, has_request_context
from flask import Flask, current_app
from configs import dify_config
from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError
@@ -53,6 +53,7 @@ from core.workflow.nodes.end.end_stream_processor import EndStreamProcessor
from core.workflow.nodes.enums import ErrorStrategy, FailBranchSourceHandle
from core.workflow.nodes.event import RunCompletedEvent, RunRetrieverResourceEvent, RunStreamChunkEvent
from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING
from libs.flask_utils import preserve_flask_contexts
from models.enums import UserFrom
from models.workflow import WorkflowType
@@ -537,24 +538,9 @@ class GraphEngine:
"""
Run parallel nodes
"""
for var, val in context.items():
var.set(val)
# FIXME(-LAN-): Save current user before entering new app context
from flask import g
saved_user = None
if has_request_context() and hasattr(g, "_login_user"):
saved_user = g._login_user
with flask_app.app_context():
with preserve_flask_contexts(flask_app, context_vars=context):
try:
# Restore user in new app context
if saved_user is not None:
from flask import g
g._login_user = saved_user
q.put(
ParallelBranchRunStartedEvent(
parallel_id=parallel_id,

View File

@@ -7,7 +7,7 @@ from datetime import UTC, datetime
from queue import Empty, Queue
from typing import TYPE_CHECKING, Any, Optional, cast
from flask import Flask, current_app, has_request_context
from flask import Flask, current_app
from configs import dify_config
from core.variables import ArrayVariable, IntegerVariable, NoneVariable
@@ -37,6 +37,7 @@ from core.workflow.nodes.base import BaseNode
from core.workflow.nodes.enums import NodeType
from core.workflow.nodes.event import NodeEvent, RunCompletedEvent
from core.workflow.nodes.iteration.entities import ErrorHandleMode, IterationNodeData
from libs.flask_utils import preserve_flask_contexts
from .exc import (
InvalidIteratorValueError,
@@ -583,23 +584,8 @@ class IterationNode(BaseNode[IterationNodeData]):
"""
run single iteration in parallel mode
"""
for var, val in context.items():
var.set(val)
# FIXME(-LAN-): Save current user before entering new app context
from flask import g
saved_user = None
if has_request_context() and hasattr(g, "_login_user"):
saved_user = g._login_user
with flask_app.app_context():
# Restore user in new app context
if saved_user is not None:
from flask import g
g._login_user = saved_user
with preserve_flask_contexts(flask_app, context_vars=context):
parallel_mode_run_id = uuid.uuid4().hex
graph_engine_copy = graph_engine.create_copy()
variable_pool_copy = graph_engine_copy.graph_runtime_state.variable_pool