Changes:
1. Frontend multi-upload:
- File input now has 'multiple' attribute, drag-drop accepts multiple
- File queue list with per-file artist/title preview + remove button
- 'Pošlji vse' uploads sequentially (one at a time to avoid network saturation)
- Each file gets same batch_id for Telegram batch summary
- After upload, queue clears, jobs appear in right sidebar
2. Backend queue worker:
- New _queue_worker() background thread processes 'queued' jobs sequentially
- Only 1 job at a time to keep openclaw stable (avoid CPU/RAM thrash)
- FIFO order by created_at
- Auto-starts on app startup after job resume
3. Job submission flow change:
- /api/process and /api/youtube no longer call background.add_task directly
- Just mark status='queued', queue worker picks up
- This means upload completes fast, processing happens in background
- User can close browser, jobs continue
4. Telegram notifications (FOLX Alerts bot):
- Per-job: 'Reel pripravljen: Lady Gaga - Abracadabra (29s, 30 MB)'
- Per-job failed: 'Reel ni uspel: <name> + error message'
- Batch summary: 'Batch končan: 10/10 reels pripravljeni' (only if >1 in batch)
- Uses existing TELEGRAM_TOKEN + TELEGRAM_CHAT_ID env vars
- app/telegram.py module with notify_job_done(), notify_job_failed(),
notify_batch_complete()
5. batch_id field:
- Added to Job model + StartJobIn pydantic
- Saved during upload + process
- Used to count batch progress and trigger summary notification
User experience:
- Drag 20 videos at once
- Click 'Pošlji'
- Close browser, go grab coffee
- Telegram sends 'Reel pripravljen' for each
- After all done: 'Batch končan: 20/20 reels pripravljeni' summary
- Open app to download all
