OpenSource/dify - dify - 浩瀚星图

Tree: 0d2d349ab3

Author	SHA1	Message	Date
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.	3 months ago
Bowen Liang	8537abfff8	chore: avoid repeated type ignore noqa by adding flask_restful and flask_login in mypy import exclusions (#19224)	6 months ago
Alex Chim	12836f9db9	Resolves #18536 Retreive conversation variables (#18581)	6 months ago
yihong	56e15d09a9	feat: mypy for all type check (#10921)	10 months ago
-LAN-	3571292fbf	chore(api): Introduce Ruff Formatter. (#7291)	1 year ago
KVOJJJin	935e72d449	Feat: conversation variable & variable assigner node (#7222) Signed-off-by: -LAN- <laipz8200@outlook.com> Co-authored-by: Joel <iamjoel007@gmail.com> Co-authored-by: -LAN- <laipz8200@outlook.com>	1 year ago