- Removed unused model usage properties (`total`, `tps`, `requestsSuccess`, etc.) for cleaner data handling.
- Added new metrics: total input/output tokens, null rate, and low uniqueness flags.
- Improved UI for execution summary cards with consolidated insights and model usage tables.
- Introduced detailed analysis for dataset columns, including dropped columns and LLM column counts.
- Optimized rendering logic to reduce clutter and enhance user experience.
- Added `log_lines` field to track and display runtime logs for executions.
- Enhanced progress tracking with terminal-like log outputs and live log scrolling.
- Introduced detailed "model usage" and "dropped columns" analysis in `ExecutionsView`.
- Optimized UI components for displaying dataset metrics, including input/output token averages.
- Added column visibility toggles using a dropdown menu for greater customization.
- Introduced expandable table cells for long values with "expand/collapse" functionality.
- Ensured hidden columns reset on execution change, providing a consistent user experience.
- Added logic to calculate and manage column-level progress for job executions.
- Introduced `progress_columns_total` and `_column_done` fields for more granular progress updates.
- Improved overall progress computation by considering total columns and individual progress per column.
- Extracted shared execution utilities into `execution-helpers.ts` for reusability across features.
- Replaced deprecated `/preview` endpoint and its logic with unified job execution handling.
- Consolidated job execution flows ("Preview" and "Full Run") into shared `runJobExecution` logic.
- Enhanced execution progress tracking with support for column-level progress reporting.
- Added support for handling execution job events and improved error reporting from the backend.
- Updated backend to better manage dataset access errors and provide more informative error messages.
- Cleaned up redundant code in `use-recipe-studio-actions` and streamlined execution APIs.
- Introduced backend changes to handle dataset pagination with limit, offset, and total row support.
- Updated frontend execution view with dataset pagination controls, including "Next" and "Prev" buttons.
- Extended recipe execution logic to manage dataset pagination details like page number, page size, and total records.
- Introduced "Full Run" support in execution logic, including progress tracking, cancellation, and job status updates.
- Extended backend to manage full execution jobs, handle dataset previews, and return detailed analysis and artifacts.
- Updated frontend components to support full runs, with execution sorting, live updates, and detailed execution views.
- Enhanced `ExecutionsView` with progress indicators, status filtering, and dataset preview capabilities.
- Added IndexedDB schema migration to track additional execution metadata.
- Added `ExecutionsView` with execution history tracking, live updates, and detailed data analysis.
- Implemented IndexedDB support via Dexie to persist execution records locally.
- Enhanced backend preview logic to return execution analysis and artifacts.
- Updated studio header with view toggling between "Editor" and "Executions."
- Deleted `jinja-ref-autocomplete` components and related hooks.
- Replaced custom Jinja variable autocomplete with standard `Textarea` and `Input` components.
- Streamlined variable handling logic by replacing `getAvailableRefItems` with `getAvailableVariables`.
- Removed unused state (`flowMoving`) and redundant logic tied to Jinja-specific functionality.
* Add `datasets` metadata support to model cards
Add an optional `datasets` parameter to all save/push functions so users
can specify which datasets were used for training. The metadata is set
via `ModelCard.data.datasets` for standard paths and via
`metadata_update` for GGUF and generic save paths.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Fix datasets metadata for existing repos, add token, improve errors
- Add metadata_update fallback in create_huggingface_repo and
upload_to_huggingface so datasets metadata is set even when the
repo already exists (previously only worked on first creation).
- Pass token=token to all metadata_update calls so they work
without a global HF login.
- Replace silent except:pass with logger.warning_once for
metadata failures so users know if something went wrong.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fix generic datasets metadata repo resolution for PR #4076
* Fix create_huggingface_repo username resolution for PR #4076
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Daniel Hanchen <danielhanchen@users.noreply.github.com>
