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gcgj-dify-1.7.0/api/tests/integration_tests/workflow
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.
7 months ago
..
nodes refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025) 7 months ago
__init__.py FEAT: NEW WORKFLOW ENGINE (#3160) 2 years ago
test_sync_workflow.py Fix: crash of workflow file upload (#10831) 1 year ago