- Add BundleManifest with dsl_filename for 100% tree ID restoration
- Implement two-step import flow: prepare (get upload URL) + confirm
- Use sandbox for zip extraction and file upload via presigned URLs
- Store import session in Redis with 1h TTL
- Add SandboxUploadItem for symmetric download/upload API
- Remove legacy source_zip_extractor, inline logic in service
- Update frontend to use new prepare/confirm API flow
- Introduced `GetUploadUrlPayload` and `BatchUploadPayload` models for handling file uploads.
- Implemented `AppAssetFileUploadUrlResource` for generating pre-signed upload URLs.
- Added `AppAssetBatchUploadResource` to support batch creation of asset nodes from a tree structure.
- Enhanced `AppAssetService` with methods for obtaining upload URLs and batch creation of assets.
- Removed checksum handling from file creation to streamline the process.
- Introduced AppBundleService for managing app bundle publishing and importing, integrating workflow and asset services.
- Added methods for exporting app bundles as ZIP files, including DSL and asset management.
- Implemented source zip extraction and validation to enhance asset import processes.
- Refactored asset packaging to utilize AssetZipPackager for improved performance and organization.
- Enhanced error handling for bundle format and security during import operations.
- Updated binary files for Dify CLI on various platforms (darwin amd64, darwin arm64, linux amd64, linux arm64).
- Refactored skill compilation in LLMNode to improve clarity and maintainability by explicitly naming parameters and incorporating AppAssets for base path management.
- Minor fix in AppAssetFileTree to remove unnecessary leading slash in path construction.
YeuolyGitHubStreamlyzno1zhsamaHarrylyzno1yesseniahjlarrygemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>WTW0313Copilot
Certain metadata (including but not limited to `InvokeFrom`, `call_depth`, and `streaming`) is required when resuming a paused workflow. However, these fields are not part of `GraphRuntimeState` and were not saved in the previous
implementation of `PauseStatePersistenceLayer`.
This commit addresses this limitation by introducing a `WorkflowResumptionContext` model that wraps both the `*GenerateEntity` and `GraphRuntimeState`. This approach provides:
- A structured container for all necessary resumption data
- Better separation of concerns between execution state and persistence
- Enhanced extensibility for future metadata additions
- Clearer naming that distinguishes from `GraphRuntimeState`
The `WorkflowResumptionContext` model makes extending the pause state easier while maintaining backward compatibility and proper version management for the entire execution state ecosystem.
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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.
Harry