mirror of
https://github.com/langgenius/dify.git
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466 lines
13 KiB
Python
466 lines
13 KiB
Python
import time
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import uuid
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import pytest
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from configs import dify_config
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from core.app.entities.app_invoke_entities import InvokeFrom
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from core.helper import encrypter
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from core.variables import SecretVariable
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from core.workflow.entities import GraphInitParams, GraphRuntimeState, VariablePool
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from core.workflow.entities import GraphInitParams
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from core.workflow.enums import WorkflowNodeExecutionStatus
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from core.workflow.graph import Graph
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from core.workflow.node_events import NodeRunResult
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from core.workflow.nodes.code.code_node import CodeNode
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from core.workflow.nodes.node_factory import DifyNodeFactory
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from core.workflow.runtime import GraphRuntimeState, VariablePool
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from core.workflow.system_variable import SystemVariable
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from models.enums import UserFrom
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from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock
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CODE_MAX_STRING_LENGTH = dify_config.CODE_MAX_STRING_LENGTH
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def init_code_node(code_config: dict, with_defaults=True):
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graph_config = {
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"edges": [
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{
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"id": "start-source-code-target",
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"source": "start",
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"target": "code",
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},
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],
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"nodes": [{"data": {"type": "start", "title": "Start"}, "id": "start"}, code_config],
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}
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init_params = GraphInitParams(
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tenant_id="1",
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app_id="1",
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workflow_id="1",
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graph_config=graph_config,
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user_id="1",
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user_from=UserFrom.ACCOUNT,
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invoke_from=InvokeFrom.DEBUGGER,
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call_depth=0,
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)
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# construct variable pool
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variable_pool = VariablePool(
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system_variables=SystemVariable(user_id="aaa", files=[]),
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user_inputs={},
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environment_variables=[SecretVariable(name="secret_key", value="fake-secret-key")],
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conversation_variables=[],
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)
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variable_pool.add(["code", "args1"], 1)
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variable_pool.add(["code", "args2"], 2)
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graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter())
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# Create node factory
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node_factory = DifyNodeFactory(
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graph_init_params=init_params,
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graph_runtime_state=graph_runtime_state,
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)
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graph = Graph.init(graph_config=graph_config, node_factory=node_factory)
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node = CodeNode(
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id=str(uuid.uuid4()),
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config=code_config,
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graph_init_params=init_params,
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graph_runtime_state=graph_runtime_state,
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)
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# Initialize node data
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if "data" in code_config:
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node.init_node_data(code_config["data"])
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return node
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@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
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def test_execute_code(setup_code_executor_mock):
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code = """
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def main(args1: int, args2: int):
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return {
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"result": args1 + args2,
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}
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"""
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# trim first 4 spaces at the beginning of each line
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code = "\n".join([line[4:] for line in code.split("\n")])
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code_config = {
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"id": "code",
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"data": {
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"type": "code",
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"outputs": {
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"result": {
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"type": "number",
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},
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},
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"title": "123",
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"variables": [
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{
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"variable": "args1",
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"value_selector": ["1", "args1"],
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},
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{"variable": "args2", "value_selector": ["1", "args2"]},
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],
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"answer": "123",
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"code_language": "python3",
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"code": code,
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},
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}
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node = init_code_node(code_config)
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node.graph_runtime_state.variable_pool.add(["1", "args1"], 1)
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node.graph_runtime_state.variable_pool.add(["1", "args2"], 2)
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# execute node
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result = node._run()
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assert isinstance(result, NodeRunResult)
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assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
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assert result.outputs is not None
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assert result.outputs["result"] == 3
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assert result.error == ""
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@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
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def test_execute_code_output_validator(setup_code_executor_mock):
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code = """
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def main(args1: int, args2: int):
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return {
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"result": args1 + args2,
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}
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"""
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# trim first 4 spaces at the beginning of each line
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code = "\n".join([line[4:] for line in code.split("\n")])
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code_config = {
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"id": "code",
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"data": {
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"type": "code",
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"outputs": {
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"result": {
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"type": "string",
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},
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},
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"title": "123",
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"variables": [
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{
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"variable": "args1",
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"value_selector": ["1", "args1"],
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},
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{"variable": "args2", "value_selector": ["1", "args2"]},
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],
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"answer": "123",
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"code_language": "python3",
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"code": code,
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},
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}
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node = init_code_node(code_config)
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node.graph_runtime_state.variable_pool.add(["1", "args1"], 1)
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node.graph_runtime_state.variable_pool.add(["1", "args2"], 2)
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# execute node
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result = node._run()
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assert isinstance(result, NodeRunResult)
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assert result.status == WorkflowNodeExecutionStatus.FAILED
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assert result.error == "Output result must be a string, got int instead"
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def test_execute_code_output_validator_depth():
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code = """
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def main(args1: int, args2: int):
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return {
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"result": {
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"result": args1 + args2,
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}
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}
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"""
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# trim first 4 spaces at the beginning of each line
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code = "\n".join([line[4:] for line in code.split("\n")])
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code_config = {
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"id": "code",
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"data": {
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"type": "code",
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"outputs": {
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"string_validator": {
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"type": "string",
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},
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"number_validator": {
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"type": "number",
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},
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"number_array_validator": {
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"type": "array[number]",
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},
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"string_array_validator": {
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"type": "array[string]",
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},
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"object_validator": {
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"type": "object",
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"children": {
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"result": {
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"type": "number",
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},
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"depth": {
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"type": "object",
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"children": {
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"depth": {
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"type": "object",
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"children": {
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"depth": {
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"type": "number",
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}
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},
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}
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},
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},
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},
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},
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},
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"title": "123",
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"variables": [
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{
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"variable": "args1",
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"value_selector": ["1", "args1"],
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},
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{"variable": "args2", "value_selector": ["1", "args2"]},
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],
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"answer": "123",
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"code_language": "python3",
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"code": code,
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},
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}
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node = init_code_node(code_config)
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# construct result
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result = {
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"number_validator": 1,
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"string_validator": "1",
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"number_array_validator": [1, 2, 3, 3.333],
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"string_array_validator": ["1", "2", "3"],
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"object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}},
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}
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# validate
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node._transform_result(result, node._node_data.outputs)
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# construct result
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result = {
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"number_validator": "1",
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"string_validator": 1,
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"number_array_validator": ["1", "2", "3", "3.333"],
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"string_array_validator": [1, 2, 3],
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"object_validator": {"result": "1", "depth": {"depth": {"depth": "1"}}},
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}
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# validate
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with pytest.raises(ValueError):
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node._transform_result(result, node._node_data.outputs)
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# construct result
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result = {
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"number_validator": 1,
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"string_validator": (CODE_MAX_STRING_LENGTH + 1) * "1",
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"number_array_validator": [1, 2, 3, 3.333],
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"string_array_validator": ["1", "2", "3"],
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"object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}},
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}
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# validate
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with pytest.raises(ValueError):
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node._transform_result(result, node._node_data.outputs)
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# construct result
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result = {
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"number_validator": 1,
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"string_validator": "1",
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"number_array_validator": [1, 2, 3, 3.333] * 2000,
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"string_array_validator": ["1", "2", "3"],
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"object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}},
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}
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# validate
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with pytest.raises(ValueError):
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node._transform_result(result, node._node_data.outputs)
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def test_execute_code_output_object_list():
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code = """
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def main(args1: int, args2: int):
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return {
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"result": {
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"result": args1 + args2,
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}
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}
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"""
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# trim first 4 spaces at the beginning of each line
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code = "\n".join([line[4:] for line in code.split("\n")])
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code_config = {
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"id": "code",
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"data": {
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"type": "code",
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"outputs": {
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"object_list": {
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"type": "array[object]",
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},
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},
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"title": "123",
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"variables": [
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{
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"variable": "args1",
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"value_selector": ["1", "args1"],
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},
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{"variable": "args2", "value_selector": ["1", "args2"]},
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],
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"answer": "123",
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"code_language": "python3",
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"code": code,
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},
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}
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node = init_code_node(code_config)
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# construct result
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result = {
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"object_list": [
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{
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"result": 1,
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},
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{
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"result": 2,
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},
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{
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"result": [1, 2, 3],
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},
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]
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}
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# validate
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node._transform_result(result, node._node_data.outputs)
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# construct result
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result = {
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"object_list": [
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{
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"result": 1,
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},
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{
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"result": 2,
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},
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{
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"result": [1, 2, 3],
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},
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1,
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]
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}
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# validate
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with pytest.raises(ValueError):
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node._transform_result(result, node._node_data.outputs)
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@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
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def test_execute_code_scientific_notation(setup_code_executor_mock):
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code = """
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def main():
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return {
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"result": -8.0E-5
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}
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"""
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code = "\n".join([line[4:] for line in code.split("\n")])
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code_config = {
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"id": "code",
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"data": {
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"type": "code",
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"outputs": {
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"result": {
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"type": "number",
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},
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},
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"title": "123",
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"variables": [],
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"answer": "123",
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"code_language": "python3",
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"code": code,
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},
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}
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node = init_code_node(code_config)
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# execute node
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result = node._run()
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assert isinstance(result, NodeRunResult)
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assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
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def test_execute_code_obfuscate_secret_variables(monkeypatch):
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monkeypatch.setenv("MOCK_SWITCH", "false")
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code = """
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def main(argument1: str):
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return {
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"result": argument1,
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}
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"""
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# trim first 4 spaces at the beginning of each line
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code = "\n".join([line[4:] for line in code.split("\n")])
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variables = [
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{
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"variable": "argument1",
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"value_selector": ["env", "secret_key"],
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},
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]
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code_config = {
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"id": "secret_environment_code",
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"data": {
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"type": "code",
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"outputs": {
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"result": {
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"type": "string",
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},
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},
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"title": "secret_obfus",
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"variables": variables,
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"answer": "fake-secret-key",
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"code_language": "python3",
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"code": code,
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},
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}
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node = init_code_node(code_config, False)
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# Variable with values replaced with env variables
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replaced_variables = node.graph_runtime_state.variable_pool.variable_dictionary.get("env", {})
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secret_variable_value_map = {}
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for var in replaced_variables.values():
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if isinstance(var, SecretVariable):
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secret_variable_value_map[var.name] = var.value
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input_variables_argument_map = {
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var["variable"]: var["value_selector"][1] for var in variables if var.get("value_selector", [None])[0] == "env"
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}
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input_argument_value_map = {
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k: secret_variable_value_map[v]
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for k, v in input_variables_argument_map.items()
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if v in secret_variable_value_map
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}
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# execute node
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result = node._run()
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assert isinstance(result, NodeRunResult)
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assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
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assert result.outputs is not None
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for name, value in result.inputs.items():
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if input_argument_value_map.get(name):
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assert value == encrypter.obfuscated_token(input_argument_value_map.get(name))
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assert result.error == ""
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