+51
9ef6b90843
feat: sync main branch ( #31938 )
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2026-02-04 19:04:24 +08:00
4f0fb6df2b
chore: use from __future__ import annotations ( #30254 )
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2026-01-06 23:57:20 +09:00
+4
b76e17b25d
feat: introduce trigger functionality ( #27644 )
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2025-11-12 17:59:37 +08:00
a1c0bd7a1c
feat(api): Introduce workflow pause state management ( #27298 )
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2025-10-30 14:41:09 +08:00
+10
85cda47c70
feat: knowledge pipeline ( #25360 )
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2025-09-18 12:49:10 +08:00
QuantumGhost and GitHub
2c1ab4879f
refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization ( #22025 )
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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