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gcgj-dify-1.7.0/api/core/workflow/entities
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.
8 months ago
..
__init__.py FEAT: NEW WORKFLOW ENGINE (#3160) 2 years ago
node_entities.py refactor(workflow): Rename NodeRunMetadataKey to WorkflowNodeExecutionMetadataKey (#20457) 8 months ago
variable_entities.py feat/enhance the multi-modal support (#8818) 1 year ago
variable_pool.py feat: Persist Variables for Enhanced Debugging Workflow (#20699) 8 months ago
workflow_entities.py Feature/newnew workflow loop node (#14863) 11 months ago
workflow_execution.py Refactor/remove db from cycle manager (#20455) 8 months ago
workflow_node_execution.py refactor(workflow): Rename workflow node execution models (#20458) 8 months ago