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gcgj-dify-1.7.0/api/core/prompt
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
..
entities chore(api/core): apply ruff reformatting (#7624) 1 year ago
prompt_templates Enhance Code Consistency Across Repository with `.editorconfig` (#19023) 9 months ago
utils feat(api/repo): Allow to config repository implementation (#21458) 7 months ago
__init__.py FEAT: NEW WORKFLOW ENGINE (#3160) 2 years ago
advanced_prompt_transform.py refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025) 7 months ago
agent_history_prompt_transform.py feat: mypy for all type check (#10921) 1 year ago
prompt_transform.py feat: mypy for all type check (#10921) 1 year ago
simple_prompt_transform.py fix: Update prompt message content types to use Literal and add union type for content (#17136) 10 months ago