mirror of https://github.com/langgenius/dify.git
2c1ab4879f
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. |
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| app | ||
| app-sidebar | ||
| base | ||
| billing | ||
| custom | ||
| datasets | ||
| develop | ||
| explore | ||
| header | ||
| plugins | ||
| share | ||
| signin | ||
| tools | ||
| workflow | ||
| workflow-app | ||
| browser-initor.tsx | ||
| i18n-server.tsx | ||
| i18n.tsx | ||
| sentry-initor.tsx | ||
| swr-initor.tsx | ||
| with-i18n.tsx | ||