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
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__init__.py	fix: Introduce ArrayVariable and update iteration node to handle it (#12001)	2024-12-23 15:52:50 +08:00
consts.py	feat(api): Introduce `WorkflowDraftVariable` Model (#19737)	2025-05-19 22:59:56 +08:00
exc.py	feat/enhance the multi-modal support (#8818)	2024-10-21 10:43:49 +08:00
segment_group.py	feat/enhance the multi-modal support (#8818)	2024-10-21 10:43:49 +08:00
segments.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00
types.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00
utils.py	feat: Persist Variables for Enhanced Debugging Workflow (#20699)	2025-06-24 09:05:29 +08:00
variables.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00