- Added 'type' field to all node data configurations in test files
- Fixed test_code.py: added 'type: code' to all code node configs
- Fixed test_http.py: added 'type: http-request' to all HTTP node configs
- Fixed test_template_transform.py: added 'type: template-transform' to template node config
- Fixed test_tool.py: added 'type: tool' to all tool node configs
- Added setup_code_executor_mock fixture to test_execute_code_scientific_notation
These changes fix the ValueError: 'Node X missing or invalid type information' errors
that were occurring due to changes in the node factory validation requirements.
- Fixed isinstance() checks to properly handle None values by checking None separately
- Fixed typo in STRING type validation where 'output_name' was hardcoded as string instead of variable
- Updated error message format to be consistent and more informative
- Updated test assertion to match new error message format
refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)
This PR addresses serialization issues in the VariablePool model by separating the `value_type` tags for `IntegerSegment`/`FloatSegment` and `IntegerVariable`/`FloatVariable`. Previously, both Integer and Float types shared the same `SegmentType.NUMBER` tag, causing conflicts during serialization.
Key changes:
- Introduce distinct `value_type` tags for Integer and Float segments/variables
- Add `VariableUnion` and `SegmentUnion` types for proper type discrimination
- Leverage Pydantic's discriminated union feature for seamless serialization/deserialization
- Enable accurate serialization of data structures containing these types
Closes#22024.
-LAN-