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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.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=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={})
pool.append_variable(node_id='1', variable_key_list=['123', 'args1'], value=1)
pool.append_variable(node_id='1', variable_key_list=['123', 'args2'], value=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=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={})
pool.append_variable(node_id='1', variable_key_list=['123', 'args1'], value=1)
pool.append_variable(node_id='1', variable_key_list=['123', 'args2'], value=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=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',
user_from=InvokeFrom.WEB_APP,
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)