QuantumGhost 2c1ab4879f refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025) ... 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.		2025-07-16 12:31:37 +08:00
..
__init__.py	Feat/loop node (#17273)	2025-04-02 13:53:26 +08:00
entities.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00
loop_end_node.py	feat: Persist Variables for Enhanced Debugging Workflow (#20699)	2025-06-24 09:05:29 +08:00
loop_node.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00
loop_start_node.py	feat: Persist Variables for Enhanced Debugging Workflow (#20699)	2025-06-24 09:05:29 +08:00