- Updated reservation list to display estimated units and improved count display.
- Added "Upcoming" status to project dashboard and header with corresponding styles.
- Implemented a dropdown for quick status updates in project header.
- Modified project list compact view to reflect new status labels.
- Updated project overview to include a tab for upcoming projects.
- Added migration script to introduce estimated_units column in job_reservations table.
- Each monitoring location slot can now have a named location (e.g. "North Gate")
- Location names and slot order are persisted and restored in the planner
- Location names display in the expanded reservation card view
- Added "Promote to Project" button that converts a reservation into a
tracked project with monitoring locations and unit assignments pre-filled
Requires DB migration on prod:
ALTER TABLE job_reservation_units ADD COLUMN location_name TEXT;
ALTER TABLE job_reservation_units ADD COLUMN slot_index INTEGER;
- Add POST /api/projects/{project_id}/nrl/{location_id}/upload-data endpoint
accepting a ZIP or multi-file select of .rnd/.rnh files from an SD card.
Parses .rnh metadata for session start/stop times, serial number, and store
name. Creates a MonitoringSession (no unit assignment required) and DataFile
records for each measurement file.
- Add Upload Data button and collapsible upload panel to the NRL detail Data
Files tab, with inline success/error feedback and automatic file list refresh
via HTMX after import.
- Rename RecordingSession -> MonitoringSession throughout the codebase
(models.py, projects.py, project_locations.py, scheduler.py, roster_rename.py,
main.py, init_projects_db.py, scripts/rename_unit.py). DB table renamed from
recording_sessions to monitoring_sessions; old indexes dropped and recreated.
- Update all template UI copy from Recording Sessions to Monitoring Sessions
(nrl_detail, projects/detail, session_list, schedule_oneoff, roster).
- Add backend/migrate_rename_recording_to_monitoring_sessions.py for applying
the table rename on production databases before deploying this build.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Implemented a new API router for managing report templates, including endpoints for listing, creating, retrieving, updating, and deleting templates.
- Added a new HTML partial for a unified SLM settings modal, allowing users to configure SLM settings with dynamic modem selection and FTP credentials.
- Created a report preview page with an editable data table using jspreadsheet, enabling users to modify report details and download the report as an Excel file.
- Updated all instances of device_type from "sound_level_meter" to "slm" across the codebase.
- Enhanced documentation to reflect the new device type standardization.
- Added migration script to convert legacy device types in the database.
- Updated relevant API endpoints, models, and frontend templates to use the new device type.
- Ensured backward compatibility by deprecating the old device type without data loss.
- Created complete frontend structure with Jinja2 templates
- Implemented three main pages: Dashboard, Fleet Roster, and Unit Detail
- Added HTMX auto-refresh for real-time updates (10s interval)
- Integrated dark/light mode toggle with localStorage persistence
- Built responsive card-based UI with sidebar navigation
- Created API endpoints for status snapshot, roster, unit details, and photos
- Added mock data service for development (emit_status_snapshot)
- Implemented tabbed interface on unit detail page (Photos, Map, History)
- Integrated Leaflet maps for unit location visualization
- Configured static file serving and photo management
- Updated requirements.txt with Jinja2 and aiofiles
- Reorganized backend structure into routers and services
- Added comprehensive FRONTEND_README.md documentation
Frontend features:
- Auto-refreshing dashboard with fleet summary and alerts
- Sortable fleet roster table (prioritizes Missing > Pending > OK)
- Unit detail view with status, deployment info, and notes
- Photo gallery with thumbnail navigation
- Interactive maps showing unit coordinates
- Consistent styling with brand colors (orange, navy, burgundy)
Ready for integration with real Series3 emitter data.
