gcgj-dify-1.7.0

Commit Graph

Author	SHA1	Message	Date
GareArc	ff25bbca9f	1.7.0 -----BEGIN PGP SIGNATURE----- iQGzBAABCAAdFiEEFK5K98uJ0hmL9JLza6DRCN7QEf8FAmiAvFgACgkQa6DRCN7Q Ef816Qv+NYHzK0yCcwji6lvzcUgf7V1l8ZCbbJdbzztbQuoKlUsB2XQhyr2y30X5 kYHafWGSXbEAVOII7ca39EuUGVnvLx/AR7AsPzxOL4bxmWNricCUaK/XFtlbFuo5 Rp5PQSPXa0VOFfBzktH7R1B3ET5eGfKauA5exDesiAHG6EDWbchnsFSYxpXzHLLs wLX7IMhQjFqBLyOKfI88+IxN+Gyo2NOTUhjt5yEqm6pUJANi3pg6ZwLl3/ODW+fx fu9rcOWZj7SHMhS6J5tIqRi6YO2o/b1tgBhsgI5gsAKJOdV8BwC71Vfwe+sJv3oC aMn6l4z0GENKC+256ag13Ku4/EKXytOY4LGZZrMUHr4n7EEGI1ODsVjXXOr5Fh6S wPO4GziBHaSyVogvvR8Mq7w1E5D6neqe2H87zc3dLe+E/vkZsv1W/E+Qo3iTJmqU VN1Q6WyeF/MhPEafXVPhBTLqrwiHmtZHVARuTpFvJb1wVGV3Cb28a6YMnMLOTYf3 KW8VxjGZ =EOwC -----END PGP SIGNATURE----- gpgsig -----BEGIN SSH SIGNATURE----- U1NIU0lHAAAAAQAAADMAAAALc3NoLWVkMjU1MTkAAAAg6SWWoDRBZt3I2ReXCRLrVSezuD ZkSRk8YmJa0R3Cde8AAAADZ2l0AAAAAAAAAAZzaGE1MTIAAABTAAAAC3NzaC1lZDI1NTE5 AAAAQEZuS8+VT7OGNR+ITQUEyJM/KdyuP6rcLIaf48ccZ6dRLgGvRVV6UxtFjKiApRkPQZ uwVfos66Dd9sZxbEiFagE= -----END SSH SIGNATURE----- Merge tag '1.7.0' into deploy/enterprise 1.7.0	8 months ago
NeatGuyCoding	c3037c5491	minor code fix: remove duplicate type check branch (#22536 )	9 months ago
QuantumGhost	59c35a49b1	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.	9 months ago
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.	9 months ago
QuantumGhost	10b738a296	feat: Persist Variables for Enhanced Debugging Workflow (#20699 ) This pull request introduces a feature aimed at improving the debugging experience during workflow editing. With the addition of variable persistence, the system will automatically retain the output variables from previously executed nodes. These persisted variables can then be reused when debugging subsequent nodes, eliminating the need for repetitive manual input. By streamlining this aspect of the workflow, the feature minimizes user errors and significantly reduces debugging effort, offering a smoother and more efficient experience. Key highlights of this change: - Automatic persistence of output variables for executed nodes. - Reuse of persisted variables to simplify input steps for nodes requiring them (e.g., `code`, `template`, `variable_assigner`). - Enhanced debugging experience with reduced friction. Closes #19735.	9 months ago

5 Commits (3c404d18b3f2bbab4a31768a566be51ecfcd887b)