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import time
import uuid
from os import getenv
from typing import cast
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.enums import SystemVariableKey
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.nodes.code.code_node import CodeNode
from core.workflow.nodes.code.entities import CodeNodeData
from models.enums import UserFrom
from models.workflow import WorkflowNodeExecutionStatus, 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"))
def init_code_node(code_config: dict):
graph_config = {
"edges": [
{
"id": "start-source-code-target",
"source": "start",
"target": "code",
},
],
"nodes": [{"data": {"type": "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",
user_from=UserFrom.ACCOUNT,
invoke_from=InvokeFrom.DEBUGGER,
call_depth=0,
)
# construct variable pool
variable_pool = VariablePool(
system_variables={SystemVariableKey.FILES: [], SystemVariableKey.USER_ID: "aaa"},
user_inputs={},
environment_variables=[],
conversation_variables=[],
)
variable_pool.add(["code", "123", "args1"], 1)
variable_pool.add(["code", "123", "args2"], 2)
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,
)
return node
@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")])
code_config = {
"id": "code",
"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,
},
}
node = init_code_node(code_config)
node.graph_runtime_state.variable_pool.add(["1", "123", "args1"], 1)
node.graph_runtime_state.variable_pool.add(["1", "123", "args2"], 2)
# execute node
result = node._run()
assert isinstance(result, NodeRunResult)
assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
assert result.outputs is not None
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")])
code_config = {
"id": "code",
"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,
},
}
node = init_code_node(code_config)
node.graph_runtime_state.variable_pool.add(["1", "123", "args1"], 1)
node.graph_runtime_state.variable_pool.add(["1", "123", "args2"], 2)
# execute node
result = node._run()
assert isinstance(result, NodeRunResult)
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")])
code_config = {
"id": "code",
"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,
},
}
node = init_code_node(code_config)
# 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}}},
}
node.node_data = cast(CodeNodeData, node.node_data)
# 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")])
code_config = {
"id": "code",
"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,
},
}
node = init_code_node(code_config)
# construct result
result = {
"object_list": [
{
"result": 1,
},
{
"result": 2,
},
{
"result": [1, 2, 3],
},
]
}
node.node_data = cast(CodeNodeData, node.node_data)
# 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)
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