pediatric-ai-scribe-v3/FEATURES_EXPLAINED.md

# Features Explained - Pediatric AI Scribe v14

## 🎙️ **Audio Backups**

### How It Works:
Audio backups happen **automatically every time you record**, regardless of transcription success/failure.

**Flow:**
1. You press "Stop" on recording
2. Audio is immediately saved **before** transcription starts
3. Server-side backup (PostgreSQL, gzip compressed) attempted first
4. If server fails → fallback to browser IndexedDB
5. After successful transcription → audio backup is deleted
6. If transcription fails → audio backup remains for retry

**Location:**
- Server: PostgreSQL `audio_backups` table (auto-deleted after 24 hours)
- Browser: IndexedDB `PedScribeAudioBackup` database (manual cleanup)

**Purpose:**
- Retry transcription if it fails
- Recover audio if browser crashes
- Audit trail (24 hour retention)

**Access:**
Settings → Audio Backups section shows:
- Date/time of recording
- Module (encounter, dictation, etc.)
- File size
- "Retry Transcription" button (if transcription failed)
- "Delete" button

**Cost:**
Server backups are compressed (gzip) to ~1/10 original size. A 2MB recording becomes ~200KB in database.

---

## 🌐 **S3 Document Storage**

### How It Works:
Upload documents (PDFs, images, Word docs, text files) to S3-compatible storage.

**Supported Providers:**
- AWS S3 (default)
- Backblaze B2
- MinIO (self-hosted)
- Any S3-compatible service

**Configuration (.env):**
```bash
# AWS S3 (uses Bedrock credentials if available)
S3_BUCKET=your-bucket-name
S3_REGION=us-east-1
S3_PREFIX=documents/  # Optional: folder prefix

# Backblaze B2
S3_BUCKET=your-bucket-name
S3_ENDPOINT=https://s3.us-west-004.backblazeb2.com
S3_REGION=us-west-004
S3_ACCESS_KEY_ID=your-b2-application-key-id
S3_SECRET_ACCESS_KEY=your-b2-application-key

# MinIO (self-hosted)
S3_BUCKET=your-bucket
S3_ENDPOINT=http://minio:9000
S3_REGION=us-east-1
S3_ACCESS_KEY_ID=minio-access-key
S3_SECRET_ACCESS_KEY=minio-secret-key
S3_FORCE_PATH_STYLE=true  # Required for MinIO
```

**Features:**
- ✅ 10 MB file size limit
- ✅ AES-256 server-side encryption
- ✅ Per-user folder organization (`documents/{userId}/{uuid}/filename`)
- ✅ Metadata stored in PostgreSQL (filename, mime type, size, description)
- ✅ Presigned URLs for secure access (1 hour expiry)

**Allowed File Types:**
- PDF (`.pdf`)
- Images (`.jpg`, `.jpeg`, `.png`, `.gif`)
- Word documents (`.doc`, `.docx`)
- Text files (`.txt`, `.csv`)

**Access:**
Settings → Documents section

**Status Check:**
If S3 is not configured, the Documents section shows empty with message: "S3 not configured"

---

## 📚 **Learning Hub - Default Browse Path**

### What It Is:
A user preference that sets the **starting folder** when browsing Nextcloud files for AI content generation.

### When It's Used:
Only in the **Learning Hub AI Content Generator** (Admin/Moderator feature).

**Scenario:**
1. Admin/Moderator wants to create AI-generated learning content
2. They choose "Upload from Nextcloud"
3. File browser opens
4. Instead of starting at root `/`, it opens at the configured path

**Example:**
```
Default path: /Medical-Resources
↓
When you click "Browse Nextcloud", it opens:
/Medical-Resources/
  ├── Pediatric-Guidelines/
  ├── Clinical-Protocols/
  └── Research-Papers/

Instead of:
/
  ├── Personal/
  ├── Photos/
  ├── Medical-Resources/  ← you'd have to navigate here every time
  └── ...
```

**Configuration:**
Settings → Nextcloud Integration → "Learning Hub — Default Browse Path"

**Examples:**
- `/Medical-Resources` - Opens in Medical Resources folder
- `/Shared/Clinical-Content` - Opens in shared clinical content
- `/` (empty) - Opens at root (default behavior)

**Who Can Use This:**
- Any authenticated user (not just moderators)
- It's a personal preference per user
- Only affects Learning Hub AI file picker

**Why This Exists:**
If you store learning resources in a specific Nextcloud folder, you don't want to navigate there every single time you generate content. Set it once, it remembers.

---

## 🎤 **Browser Whisper Pre-Download**

### Issue You Reported:
"Pre-download models works, stuck at starting download"

### What's Happening:
The download **is actually working** but progress updates are slow because:
1. HuggingFace CDN serves large files (39-244 MB)
2. Progress callbacks are not granular (reported per-file, not per-chunk)
3. Initial ONNX runtime download has no progress tracking

### Fixed:
- ✅ Added console logging to track progress
- ✅ Added 30-second timeout warning (doesn't stop download)
- ✅ Better error messages

### How to Test:
1. Open browser DevTools (F12) → Console tab
2. Click "Pre-download model"
3. Watch console for progress logs:
   ```
   [BrowserWhisper] Starting preload...
   [BrowserWhisper] Progress: onnx-runtime 0%
   [BrowserWhisper] Progress: model.bin 23%
   [BrowserWhisper] Progress: model.bin 47%
   ...
   [BrowserWhisper] Progress:  100%
   ```

### Expected Download Times:
- **Tiny** (39 MB): 5-15 seconds (fast connection)
- **Base** (74 MB): 10-30 seconds
- **Small** (244 MB): 30-90 seconds

### If Still Stuck:
**Check these:**
1. Open DevTools → Network tab
2. Filter by "HuggingFace"
3. Look for downloads from `cdn-lfs-us-1.huggingface.co`
4. Check if files are actually downloading

**Common issues:**
- Slow internet connection (244 MB takes time!)
- Corporate firewall blocking HuggingFace CDN
- Browser IndexedDB quota exceeded

**Workaround:**
Just enable it and record audio - the model will download on first use (same as pre-download, but triggered automatically).

---

## 🔊 **TTS Voice Preview**

### Issue You Reported:
"Preview button next to TTS seems to do nothing"

### Fixed:
- ✅ Added error logging to console
- ✅ Better validation (checks for empty selection)
- ✅ Clear user feedback messages

### How to Use:
1. Go to Settings → Voice Preferences
2. Select a voice from "Text-to-Speech Voice" dropdown
3. Click "Preview" button
4. Wait 2-3 seconds
5. Audio should play automatically

### If Nothing Happens:
**Check browser console for errors:**
- Open DevTools (F12) → Console tab
- Click Preview
- Look for `[VoicePrefs] Preview error:` message

**Common issues:**
1. **No voice selected** → Select from dropdown first
2. **TTS not configured** → Check `.env` has `GOOGLE_VERTEX_PROJECT` or `LITELLM_API_BASE`
3. **Network error** → Check server logs for TTS API errors
4. **Browser autoplay policy** → Some browsers block autoplay, click page first

### Testing Checklist:
```bash
# 1. Check TTS is configured
curl http://localhost:3000/api/health | grep tts

# 2. Test TTS endpoint directly
curl -X POST http://localhost:3000/api/text-to-speech \
  -H "Authorization: Bearer YOUR_JWT" \
  -H "Content-Type: application/json" \
  -d '{"text":"Test"}' \
  --output test.mp3

# 3. Play the audio file
mpg123 test.mp3  # or open in browser
```

---

## 📋 **Summary of User Settings**

### Voice Preferences
**Location:** Settings → Voice Preferences (top section)

| Setting | Options | Default | Purpose |
|---------|---------|---------|---------|
| **STT Model** | gemini-2.0-flash-exp, gemini-2.0-flash, gemini-1.5-flash, gemini-1.5-pro, whisper-1 | Server default | Controls transcription accuracy |
| **TTS Voice** | Journey-F/D, Studio-O/M, Neural2 series, alloy, echo, fable, onyx, nova, shimmer | Server default | Controls read-aloud voice |

### Browser Whisper
**Location:** Settings → Browser Transcription (Local Whisper)

| Setting | Options | Default | Purpose |
|---------|---------|---------|---------|
| **Enable** | On/Off | Off | Local transcription (HIPAA-safe) |
| **Model** | Tiny, Base, Small | Tiny | Accuracy vs speed tradeoff |

### Nextcloud
**Location:** Settings → Nextcloud Integration

| Setting | Purpose |
|---------|---------|
| **Nextcloud URL** | Your Nextcloud instance |
| **Username** | Nextcloud username |
| **App Password** | Generate in Nextcloud → Security |
| **Default Browse Path** | Starting folder for Learning Hub AI picker |

### Documents (S3)
**Location:** Settings → Documents

Shows list of uploaded documents if S3 is configured. Upload limit: 10 MB per file.

### Audio Backups
**Location:** Settings → Audio Backups

Shows last 24 hours of recordings. Can retry transcription or delete.

---

## 🔧 **Troubleshooting Guide**

### Pre-Download Stuck
1. ✅ Open browser console (F12)
2. ✅ Look for `[BrowserWhisper] Progress:` logs
3. ✅ Check Network tab for HuggingFace downloads
4. ✅ Wait - 244 MB takes time!
5. ✅ If truly stuck (no network activity): refresh page, try again

### Preview Button Silent
1. ✅ Check voice is selected in dropdown
2. ✅ Open console for error messages
3. ✅ Test TTS endpoint directly (curl command above)
4. ✅ Check server logs for TTS provider errors
5. ✅ Verify `.env` has TTS provider configured

### S3 Not Working
1. ✅ Check `.env` has `S3_BUCKET` set
2. ✅ Verify credentials: `S3_ACCESS_KEY_ID` + `S3_SECRET_ACCESS_KEY`
3. ✅ Test bucket access from server:
   ```bash
   aws s3 ls s3://your-bucket/ --region us-east-1
   ```
4. ✅ Check server logs for S3 errors when uploading

### Audio Backups Not Showing
1. ✅ Record audio first (they're created on recording, not transcription)
2. ✅ Check database: `SELECT COUNT(*) FROM audio_backups;`
3. ✅ Verify IndexedDB in browser: DevTools → Application → IndexedDB → `PedScribeAudioBackup`
4. ✅ Backups auto-delete after 24 hours

### Learning Hub Path Not Working
1. ✅ This only affects **AI content generator file picker**
2. ✅ It does NOT affect manual Nextcloud document browsing
3. ✅ Path must exist in your Nextcloud
4. ✅ Path format: `/Folder/Subfolder` (starts with `/`)

---

## 📊 **Feature Status Matrix**

| Feature | Status | Config Required | HIPAA-Safe | Notes |
|---------|--------|-----------------|------------|-------|
| **Audio Backups** | ✅ Working | None (auto) | ✅ Yes | Server + IndexedDB |
| **S3 Documents** | ✅ Working | S3_BUCKET | ✅ Yes (AWS) | Optional feature |
| **Browser Whisper** | ✅ Working | None (optional) | ✅ Yes | Client-side only |
| **Voice Preferences** | ✅ Working | Provider config | Depends | Google/AWS = yes |
| **Learning Hub Path** | ✅ Working | Nextcloud config | ✅ Yes | User preference |
| **TTS Preview** | ✅ Fixed | TTS provider | Depends | Check logs if fails |
| **Embeddings** | ✅ Working | Vertex/LiteLLM | ✅ Yes | Requires pgvector |

---

## 🚀 **Next Steps**

1. **Push v14 to Docker** (in progress via GitHub Actions)
2. **Test features after deployment**
3. **Check browser console for any errors**
4. **Verify TTS preview works with your provider**
5. **Test browser whisper download with different models**

---

**Questions? Check the logs:**
- Browser: F12 → Console tab
- Server: `docker logs pediatric-ai-scribe -f`
- Database: `psql -d pedscribe -c "SELECT COUNT(*) FROM audio_backups;"`