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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__mock	Introduce Plugins (#13836)	2025-02-17 17:05:13 +08:00
code_executor	fix: sandbox issue related httpx and requests (#8397)	2024-09-14 02:02:55 +08:00
__init__.py	FEAT: NEW WORKFLOW ENGINE (#3160)	2024-04-08 18:51:46 +08:00
test_code.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00
test_http.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00
test_llm.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00
test_parameter_extractor.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00
test_template_transform.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00
test_tool.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	2025-07-16 12:31:37 +08:00