mirror of
https://git.mirrors.martin98.com/https://github.com/langgenius/dify.git
synced 2025-05-18 01:06:57 +08:00
320 lines
9.5 KiB
Python
320 lines
9.5 KiB
Python
from os import getenv
|
|
|
|
import pytest
|
|
|
|
from core.app.entities.app_invoke_entities import InvokeFrom
|
|
from core.workflow.entities.variable_pool import VariablePool
|
|
from core.workflow.nodes.base_node import UserFrom
|
|
from core.workflow.nodes.code.code_node import CodeNode
|
|
from models.workflow import WorkflowNodeExecutionStatus
|
|
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"))
|
|
|
|
|
|
@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
|
|
def test_execute_code(setup_code_executor_mock):
|
|
code = """
|
|
def main(args1: int, args2: int) -> dict:
|
|
return {
|
|
"result": args1 + args2,
|
|
}
|
|
"""
|
|
# trim first 4 spaces at the beginning of each line
|
|
code = "\n".join([line[4:] for line in code.split("\n")])
|
|
node = CodeNode(
|
|
tenant_id="1",
|
|
app_id="1",
|
|
workflow_id="1",
|
|
user_id="1",
|
|
user_from=UserFrom.ACCOUNT,
|
|
invoke_from=InvokeFrom.WEB_APP,
|
|
config={
|
|
"id": "1",
|
|
"data": {
|
|
"outputs": {
|
|
"result": {
|
|
"type": "number",
|
|
},
|
|
},
|
|
"title": "123",
|
|
"variables": [
|
|
{
|
|
"variable": "args1",
|
|
"value_selector": ["1", "123", "args1"],
|
|
},
|
|
{"variable": "args2", "value_selector": ["1", "123", "args2"]},
|
|
],
|
|
"answer": "123",
|
|
"code_language": "python3",
|
|
"code": code,
|
|
},
|
|
},
|
|
)
|
|
|
|
# construct variable pool
|
|
pool = VariablePool(system_variables={}, user_inputs={}, environment_variables=[])
|
|
pool.add(["1", "123", "args1"], 1)
|
|
pool.add(["1", "123", "args2"], 2)
|
|
|
|
# execute node
|
|
result = node.run(pool)
|
|
assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
|
|
assert result.outputs["result"] == 3
|
|
assert result.error is None
|
|
|
|
|
|
@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
|
|
def test_execute_code_output_validator(setup_code_executor_mock):
|
|
code = """
|
|
def main(args1: int, args2: int) -> dict:
|
|
return {
|
|
"result": args1 + args2,
|
|
}
|
|
"""
|
|
# trim first 4 spaces at the beginning of each line
|
|
code = "\n".join([line[4:] for line in code.split("\n")])
|
|
node = CodeNode(
|
|
tenant_id="1",
|
|
app_id="1",
|
|
workflow_id="1",
|
|
user_id="1",
|
|
user_from=UserFrom.ACCOUNT,
|
|
invoke_from=InvokeFrom.WEB_APP,
|
|
config={
|
|
"id": "1",
|
|
"data": {
|
|
"outputs": {
|
|
"result": {
|
|
"type": "string",
|
|
},
|
|
},
|
|
"title": "123",
|
|
"variables": [
|
|
{
|
|
"variable": "args1",
|
|
"value_selector": ["1", "123", "args1"],
|
|
},
|
|
{"variable": "args2", "value_selector": ["1", "123", "args2"]},
|
|
],
|
|
"answer": "123",
|
|
"code_language": "python3",
|
|
"code": code,
|
|
},
|
|
},
|
|
)
|
|
|
|
# construct variable pool
|
|
pool = VariablePool(system_variables={}, user_inputs={}, environment_variables=[])
|
|
pool.add(["1", "123", "args1"], 1)
|
|
pool.add(["1", "123", "args2"], 2)
|
|
|
|
# execute node
|
|
result = node.run(pool)
|
|
|
|
assert result.status == WorkflowNodeExecutionStatus.FAILED
|
|
assert result.error == "Output variable `result` must be a string"
|
|
|
|
|
|
def test_execute_code_output_validator_depth():
|
|
code = """
|
|
def main(args1: int, args2: int) -> dict:
|
|
return {
|
|
"result": {
|
|
"result": args1 + args2,
|
|
}
|
|
}
|
|
"""
|
|
# trim first 4 spaces at the beginning of each line
|
|
code = "\n".join([line[4:] for line in code.split("\n")])
|
|
node = CodeNode(
|
|
tenant_id="1",
|
|
app_id="1",
|
|
workflow_id="1",
|
|
user_id="1",
|
|
user_from=UserFrom.ACCOUNT,
|
|
invoke_from=InvokeFrom.WEB_APP,
|
|
config={
|
|
"id": "1",
|
|
"data": {
|
|
"outputs": {
|
|
"string_validator": {
|
|
"type": "string",
|
|
},
|
|
"number_validator": {
|
|
"type": "number",
|
|
},
|
|
"number_array_validator": {
|
|
"type": "array[number]",
|
|
},
|
|
"string_array_validator": {
|
|
"type": "array[string]",
|
|
},
|
|
"object_validator": {
|
|
"type": "object",
|
|
"children": {
|
|
"result": {
|
|
"type": "number",
|
|
},
|
|
"depth": {
|
|
"type": "object",
|
|
"children": {
|
|
"depth": {
|
|
"type": "object",
|
|
"children": {
|
|
"depth": {
|
|
"type": "number",
|
|
}
|
|
},
|
|
}
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
"title": "123",
|
|
"variables": [
|
|
{
|
|
"variable": "args1",
|
|
"value_selector": ["1", "123", "args1"],
|
|
},
|
|
{"variable": "args2", "value_selector": ["1", "123", "args2"]},
|
|
],
|
|
"answer": "123",
|
|
"code_language": "python3",
|
|
"code": code,
|
|
},
|
|
},
|
|
)
|
|
|
|
# construct result
|
|
result = {
|
|
"number_validator": 1,
|
|
"string_validator": "1",
|
|
"number_array_validator": [1, 2, 3, 3.333],
|
|
"string_array_validator": ["1", "2", "3"],
|
|
"object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}},
|
|
}
|
|
|
|
# validate
|
|
node._transform_result(result, node.node_data.outputs)
|
|
|
|
# construct result
|
|
result = {
|
|
"number_validator": "1",
|
|
"string_validator": 1,
|
|
"number_array_validator": ["1", "2", "3", "3.333"],
|
|
"string_array_validator": [1, 2, 3],
|
|
"object_validator": {"result": "1", "depth": {"depth": {"depth": "1"}}},
|
|
}
|
|
|
|
# validate
|
|
with pytest.raises(ValueError):
|
|
node._transform_result(result, node.node_data.outputs)
|
|
|
|
# construct result
|
|
result = {
|
|
"number_validator": 1,
|
|
"string_validator": (CODE_MAX_STRING_LENGTH + 1) * "1",
|
|
"number_array_validator": [1, 2, 3, 3.333],
|
|
"string_array_validator": ["1", "2", "3"],
|
|
"object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}},
|
|
}
|
|
|
|
# validate
|
|
with pytest.raises(ValueError):
|
|
node._transform_result(result, node.node_data.outputs)
|
|
|
|
# construct result
|
|
result = {
|
|
"number_validator": 1,
|
|
"string_validator": "1",
|
|
"number_array_validator": [1, 2, 3, 3.333] * 2000,
|
|
"string_array_validator": ["1", "2", "3"],
|
|
"object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}},
|
|
}
|
|
|
|
# validate
|
|
with pytest.raises(ValueError):
|
|
node._transform_result(result, node.node_data.outputs)
|
|
|
|
|
|
def test_execute_code_output_object_list():
|
|
code = """
|
|
def main(args1: int, args2: int) -> dict:
|
|
return {
|
|
"result": {
|
|
"result": args1 + args2,
|
|
}
|
|
}
|
|
"""
|
|
# trim first 4 spaces at the beginning of each line
|
|
code = "\n".join([line[4:] for line in code.split("\n")])
|
|
node = CodeNode(
|
|
tenant_id="1",
|
|
app_id="1",
|
|
workflow_id="1",
|
|
user_id="1",
|
|
invoke_from=InvokeFrom.WEB_APP,
|
|
user_from=UserFrom.ACCOUNT,
|
|
config={
|
|
"id": "1",
|
|
"data": {
|
|
"outputs": {
|
|
"object_list": {
|
|
"type": "array[object]",
|
|
},
|
|
},
|
|
"title": "123",
|
|
"variables": [
|
|
{
|
|
"variable": "args1",
|
|
"value_selector": ["1", "123", "args1"],
|
|
},
|
|
{"variable": "args2", "value_selector": ["1", "123", "args2"]},
|
|
],
|
|
"answer": "123",
|
|
"code_language": "python3",
|
|
"code": code,
|
|
},
|
|
},
|
|
)
|
|
|
|
# construct result
|
|
result = {
|
|
"object_list": [
|
|
{
|
|
"result": 1,
|
|
},
|
|
{
|
|
"result": 2,
|
|
},
|
|
{
|
|
"result": [1, 2, 3],
|
|
},
|
|
]
|
|
}
|
|
|
|
# validate
|
|
node._transform_result(result, node.node_data.outputs)
|
|
|
|
# construct result
|
|
result = {
|
|
"object_list": [
|
|
{
|
|
"result": 1,
|
|
},
|
|
{
|
|
"result": 2,
|
|
},
|
|
{
|
|
"result": [1, 2, 3],
|
|
},
|
|
1,
|
|
]
|
|
}
|
|
|
|
# validate
|
|
with pytest.raises(ValueError):
|
|
node._transform_result(result, node.node_data.outputs)
|