- Added constrained dependency files for single-env installations: `constraints.txt`, `data-designer.txt`, and `data-designer-deps.txt`.
- Implemented a `patch_metadata.py` script to resolve metadata conflicts between dependency versions.
- Updated `setup.sh` to integrate single-env setup, including dependency installation and metadata patching.
- Upgraded `fastmcp` and `websockets` versions in `extras.txt` for compatibility.
- Commented out unused "Start Tutorial" button in `data-recipes-page.tsx`.
- Changed default eval_steps from 0.01 to 0.0 across backend and frontend
- Fixed UI to allow eval_steps=0 (removed min=0.001 constraint)
- Added conditional eval logic with helpful console messages
- Updated tooltip to explain how to disable evaluation
- Tested: confirmed eval disabled by default with eval_steps=0.0
- 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 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.
