Adds a "Last Synced" column visible only to admins, positioned as the
last column. Displays the sync timestamp formatted as YYYY-MM-DD.
Includes the column in the visibility toggle modal.
Add argparse with full/last_n/oldest_percent/hybrid/single sync modes.
Implement batch Firestore writes to reduce API overhead.
Add is_archived flag based on phase_name during sync.
Track last_synced_at on each project for incremental sync.
Improve logging with structured prefixes and worker summaries.
Remove dead code (duplicate date function, sync_single helper).
Replace per-request requests.get/post with a shared Session for connection reuse.
Remove verbose print statements and add structured [WARN] prefixes to error logs.
- Added ProjectModel class in models/project_model.py to define structure for Filevine project data with proper type hints and conversion methods (to_dict/from_dict)
- Implemented get_firestore_document() helper function in app.py for retrieving specific Firestore documents
- Enhanced dashboard pagination in app.py with improved error handling and debugging output for property contacts and project IDs
- Overhauled sync.py with:
* Parallel processing using ThreadPoolExecutor for efficient project synchronization
* Comprehensive extraction of project data from Filevine forms (newFileReview, datesAndDeadlines, propertyInfo, etc.)
* Improved error handling and logging throughout the sync process
* Proper handling of date conversions and field mappings from Filevine to Firestore
* Added property contacts email extraction and viewing_emails array population
* Added support for filtering projects by specific ProjectId (15914808) for targeted sync
- Added proper initialization of Filevine client in worker threads using thread-local storage
- Improved handling of optional fields and default values in ProjectModel
- Added detailed logging for progress tracking during synchronization
This implementation enables reliable synchronization of Filevine project data to Firestore with proper data modeling and error handling, supporting the dashboard's data requirements.
