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feat: knowledge pipeline (#25360)

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Signed-off-by: -LAN- <laipz8200@outlook.com>
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This commit is contained in:
-LAN-
2025-09-18 12:49:10 +08:00
committed by GitHub
parent 7dadb33003
commit 85cda47c70
1772 changed files with 102407 additions and 31710 deletions
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44
api/tests/integration_tests/workflow/nodes/test_code.py
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@@ -5,16 +5,14 @@ from os import getenv
import pytest
from core.app.entities.app_invoke_entities import InvokeFrom
from core.workflow.entities.node_entities import NodeRunResult
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus
from core.workflow.graph_engine.entities.graph import Graph
from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams
from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
from core.workflow.entities import GraphInitParams, GraphRuntimeState, VariablePool
from core.workflow.enums import WorkflowNodeExecutionStatus
from core.workflow.graph import Graph
from core.workflow.node_events import NodeRunResult
from core.workflow.nodes.code.code_node import CodeNode
from core.workflow.nodes.node_factory import DifyNodeFactory
from core.workflow.system_variable import SystemVariable
from models.enums import UserFrom
from models.workflow import WorkflowType
from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock
CODE_MAX_STRING_LENGTH = int(getenv("CODE_MAX_STRING_LENGTH", "10000"))
@@ -29,15 +27,12 @@ def init_code_node(code_config: dict):
"target": "code",
},
],
"nodes": [{"data": {"type": "start"}, "id": "start"}, code_config],
"nodes": [{"data": {"type": "start", "title": "Start"}, "id": "start"}, code_config],
}
graph = Graph.init(graph_config=graph_config)
init_params = GraphInitParams(
tenant_id="1",
app_id="1",
workflow_type=WorkflowType.WORKFLOW,
workflow_id="1",
graph_config=graph_config,
user_id="1",
@@ -56,12 +51,21 @@ def init_code_node(code_config: dict):
variable_pool.add(["code", "args1"], 1)
variable_pool.add(["code", "args2"], 2)
graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter())
# Create node factory
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)
node = CodeNode(
id=str(uuid.uuid4()),
graph_init_params=init_params,
graph=graph,
graph_runtime_state=GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()),
config=code_config,
graph_init_params=init_params,
graph_runtime_state=graph_runtime_state,
)
# Initialize node data
@@ -85,6 +89,7 @@ def test_execute_code(setup_code_executor_mock):
code_config = {
"id": "code",
"data": {
"type": "code",
"outputs": {
"result": {
"type": "number",
@@ -114,7 +119,7 @@ def test_execute_code(setup_code_executor_mock):
assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
assert result.outputs is not None
assert result.outputs["result"] == 3
assert result.error is None
assert result.error == ""
@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
@@ -131,6 +136,7 @@ def test_execute_code_output_validator(setup_code_executor_mock):
code_config = {
"id": "code",
"data": {
"type": "code",
"outputs": {
"result": {
"type": "string",
@@ -158,7 +164,7 @@ def test_execute_code_output_validator(setup_code_executor_mock):
result = node._run()
assert isinstance(result, NodeRunResult)
assert result.status == WorkflowNodeExecutionStatus.FAILED
assert result.error == "Output variable `result` must be a string"
assert result.error == "Output result must be a string, got int instead"
def test_execute_code_output_validator_depth():
@@ -176,6 +182,7 @@ def test_execute_code_output_validator_depth():
code_config = {
"id": "code",
"data": {
"type": "code",
"outputs": {
"string_validator": {
"type": "string",
@@ -294,6 +301,7 @@ def test_execute_code_output_object_list():
code_config = {
"id": "code",
"data": {
"type": "code",
"outputs": {
"object_list": {
"type": "array[object]",
@@ -354,7 +362,8 @@ def test_execute_code_output_object_list():
node._transform_result(result, node._node_data.outputs)
def test_execute_code_scientific_notation():
@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
def test_execute_code_scientific_notation(setup_code_executor_mock):
code = """
def main():
return {
@@ -366,6 +375,7 @@ def test_execute_code_scientific_notation():
code_config = {
"id": "code",
"data": {
"type": "code",
"outputs": {
"result": {
"type": "number",