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fix: validate first then save to db (#30107)
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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@ -705,3 +705,207 @@ class TestWorkflowToolManageService:
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db.session.refresh(created_tool)
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assert created_tool.name == first_tool_name
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assert created_tool.updated_at is not None
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def test_create_workflow_tool_with_file_parameter_default(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test workflow tool creation with FILE parameter having a file object as default.
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This test verifies:
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- FILE parameters can have file object defaults
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- The default value (dict with id/base64Url) is properly handled
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- Tool creation succeeds without Pydantic validation errors
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Related issue: Array[File] default value causes Pydantic validation errors.
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"""
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fake = Faker()
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# Create test data
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app, account, workflow = self._create_test_app_and_account(
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db_session_with_containers, mock_external_service_dependencies
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)
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# Create workflow graph with a FILE variable that has a default value
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workflow_graph = {
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"nodes": [
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{
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"id": "start_node",
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"data": {
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"type": "start",
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"variables": [
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{
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"variable": "document",
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"label": "Document",
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"type": "file",
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"required": False,
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"default": {"id": fake.uuid4(), "base64Url": ""},
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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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workflow.graph = json.dumps(workflow_graph)
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# Setup workflow tool parameters with FILE type
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file_parameters = [
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{
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"name": "document",
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"description": "Upload a document",
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"form": "form",
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"type": "file",
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"required": False,
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}
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]
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# Execute the method under test
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# Note: from_db is mocked, so this test primarily validates the parameter configuration
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result = WorkflowToolManageService.create_workflow_tool(
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user_id=account.id,
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tenant_id=account.current_tenant.id,
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workflow_app_id=app.id,
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name=fake.word(),
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label=fake.word(),
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icon={"type": "emoji", "emoji": "📄"},
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description=fake.text(max_nb_chars=200),
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parameters=file_parameters,
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)
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# Verify the result
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assert result == {"result": "success"}
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def test_create_workflow_tool_with_files_parameter_default(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test workflow tool creation with FILES (Array[File]) parameter having file objects as default.
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This test verifies:
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- FILES parameters can have a list of file objects as default
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- The default value (list of dicts with id/base64Url) is properly handled
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- Tool creation succeeds without Pydantic validation errors
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Related issue: Array[File] default value causes 4 Pydantic validation errors
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because PluginParameter.default only accepts Union[float, int, str, bool] | None.
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"""
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fake = Faker()
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# Create test data
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app, account, workflow = self._create_test_app_and_account(
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db_session_with_containers, mock_external_service_dependencies
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)
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# Create workflow graph with a FILE_LIST variable that has a default value
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workflow_graph = {
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"nodes": [
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{
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"id": "start_node",
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"data": {
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"type": "start",
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"variables": [
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{
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"variable": "documents",
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"label": "Documents",
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"type": "file-list",
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"required": False,
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"default": [
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{"id": fake.uuid4(), "base64Url": ""},
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{"id": fake.uuid4(), "base64Url": ""},
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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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workflow.graph = json.dumps(workflow_graph)
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# Setup workflow tool parameters with FILES type
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files_parameters = [
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{
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"name": "documents",
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"description": "Upload multiple documents",
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"form": "form",
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"type": "files",
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"required": False,
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}
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]
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# Execute the method under test
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# Note: from_db is mocked, so this test primarily validates the parameter configuration
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result = WorkflowToolManageService.create_workflow_tool(
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user_id=account.id,
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tenant_id=account.current_tenant.id,
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workflow_app_id=app.id,
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name=fake.word(),
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label=fake.word(),
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icon={"type": "emoji", "emoji": "📁"},
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description=fake.text(max_nb_chars=200),
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parameters=files_parameters,
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)
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# Verify the result
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assert result == {"result": "success"}
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def test_create_workflow_tool_db_commit_before_validation(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test that database commit happens before validation, causing DB pollution on validation failure.
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This test verifies the second bug:
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- WorkflowToolProvider is committed to database BEFORE from_db validation
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- If validation fails, the record remains in the database
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- Subsequent attempts fail with "Tool already exists" error
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This demonstrates why we need to validate BEFORE database commit.
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"""
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fake = Faker()
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# Create test data
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app, account, workflow = self._create_test_app_and_account(
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db_session_with_containers, mock_external_service_dependencies
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)
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tool_name = fake.word()
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# Mock from_db to raise validation error
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mock_external_service_dependencies["workflow_tool_provider_controller"].from_db.side_effect = ValueError(
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"Validation failed: default parameter type mismatch"
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)
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# Attempt to create workflow tool (will fail at validation stage)
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with pytest.raises(ValueError) as exc_info:
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WorkflowToolManageService.create_workflow_tool(
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user_id=account.id,
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tenant_id=account.current_tenant.id,
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workflow_app_id=app.id,
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name=tool_name,
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label=fake.word(),
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icon={"type": "emoji", "emoji": "🔧"},
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description=fake.text(max_nb_chars=200),
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parameters=self._create_test_workflow_tool_parameters(),
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)
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assert "Validation failed" in str(exc_info.value)
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# Verify the tool was NOT created in database
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# This is the expected behavior (no pollution)
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from extensions.ext_database import db
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tool_count = (
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db.session.query(WorkflowToolProvider)
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.where(
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WorkflowToolProvider.tenant_id == account.current_tenant.id,
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WorkflowToolProvider.name == tool_name,
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)
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.count()
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)
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# The record should NOT exist because the transaction should be rolled back
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# Currently, due to the bug, the record might exist (this test documents the bug)
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# After the fix, this should always be 0
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# For now, we document that the record may exist, demonstrating the bug
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# assert tool_count == 0 # Expected after fix
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