diff --git a/.gitignore b/.gitignore index 0d2121b4..ee3feb73 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,7 @@ .DS_Store server/.env .env +Caddyfile server/exportdanswer .vercel .env*.local @@ -18,4 +19,5 @@ CLAUDE.local.md www/.env.development www/.env.production .playwright-mcp +docs/pnpm-lock.yaml .secrets diff --git a/.gitleaksignore b/.gitleaksignore index a883e62c..8eb80bd5 100644 --- a/.gitleaksignore +++ b/.gitleaksignore @@ -1 +1,5 @@ b9d891d3424f371642cb032ecfd0e2564470a72c:server/tests/test_transcripts_recording_deletion.py:generic-api-key:15 +docs/docs/installation/auth-setup.md:curl-auth-header:250 +docs/docs/installation/daily-setup.md:curl-auth-header:277 +gpu/self_hosted/DEV_SETUP.md:curl-auth-header:74 +gpu/self_hosted/DEV_SETUP.md:curl-auth-header:83 diff --git a/Caddyfile.example b/Caddyfile.example new file mode 100644 index 00000000..ebbaabdf --- /dev/null +++ b/Caddyfile.example @@ -0,0 +1,22 @@ +# Reflector Caddyfile +# Replace example.com with your actual domains +# CORS is handled by the backend - Caddy just proxies +# +# For environment variable substitution, set: +# FRONTEND_DOMAIN=app.example.com +# API_DOMAIN=api.example.com +# AUTHENTIK_DOMAIN=authentik.example.com (optional, for authentication) +# Or edit this file directly with your domains. + +{$FRONTEND_DOMAIN:app.example.com} { + reverse_proxy web:3000 +} + +{$API_DOMAIN:api.example.com} { + reverse_proxy server:1250 +} + +# Uncomment if using Authentik for authentication (see auth-setup.md) +# {$AUTHENTIK_DOMAIN:authentik.example.com} { +# reverse_proxy authentik-server-1:9000 +# } diff --git a/docker-compose.prod.yml b/docker-compose.prod.yml index cb067ee5..f897a624 100644 --- a/docker-compose.prod.yml +++ b/docker-compose.prod.yml @@ -1,26 +1,61 @@ -# Production Docker Compose configuration for Frontend +# Production Docker Compose configuration # Usage: docker compose -f docker-compose.prod.yml up -d +# +# Prerequisites: +# 1. Copy .env.example to .env and configure for both server/ and www/ +# 2. Copy Caddyfile.example to Caddyfile and edit with your domains +# 3. Deploy Modal GPU functions (see gpu/modal_deployments/deploy-all.sh) services: web: image: monadicalsas/reflector-frontend:latest + restart: unless-stopped + env_file: + - ./www/.env pull_policy: always environment: - - KV_URL=${KV_URL:-redis://redis:6379} - - SITE_URL=${SITE_URL} - - API_URL=${API_URL} - - WEBSOCKET_URL=${WEBSOCKET_URL} - - NEXTAUTH_URL=${NEXTAUTH_URL:-http://localhost:3000} - - NEXTAUTH_SECRET=${NEXTAUTH_SECRET:-changeme-in-production} - - AUTHENTIK_ISSUER=${AUTHENTIK_ISSUER} - - AUTHENTIK_CLIENT_ID=${AUTHENTIK_CLIENT_ID} - - AUTHENTIK_CLIENT_SECRET=${AUTHENTIK_CLIENT_SECRET} - - AUTHENTIK_REFRESH_TOKEN_URL=${AUTHENTIK_REFRESH_TOKEN_URL} - - SENTRY_DSN=${SENTRY_DSN} - - SENTRY_IGNORE_API_RESOLUTION_ERROR=${SENTRY_IGNORE_API_RESOLUTION_ERROR:-1} + - KV_URL=redis://redis:6379 depends_on: - redis + + server: + image: monadicalsas/reflector-backend:latest restart: unless-stopped + env_file: + - ./server/.env + environment: + ENTRYPOINT: server + depends_on: + - postgres + - redis + volumes: + - server_data:/app/data + - ./server/reflector/auth/jwt/keys:/app/reflector/auth/jwt/keys:ro + + worker: + image: monadicalsas/reflector-backend:latest + restart: unless-stopped + env_file: + - ./server/.env + environment: + ENTRYPOINT: worker + depends_on: + - postgres + - redis + volumes: + - server_data:/app/data + - ./server/reflector/auth/jwt/keys:/app/reflector/auth/jwt/keys:ro + + beat: + image: monadicalsas/reflector-backend:latest + restart: unless-stopped + env_file: + - ./server/.env + environment: + ENTRYPOINT: beat + depends_on: + - postgres + - redis redis: image: redis:7.2-alpine @@ -33,5 +68,46 @@ services: volumes: - redis_data:/data + postgres: + image: postgres:17-alpine + restart: unless-stopped + environment: + POSTGRES_USER: reflector + POSTGRES_PASSWORD: reflector + POSTGRES_DB: reflector + volumes: + - postgres_data:/var/lib/postgresql/data + healthcheck: + test: ["CMD-SHELL", "pg_isready -U reflector"] + interval: 30s + timeout: 3s + retries: 3 + + caddy: + image: caddy:2-alpine + restart: unless-stopped + ports: + - "80:80" + - "443:443" + volumes: + - ./Caddyfile:/etc/caddy/Caddyfile:ro + - caddy_data:/data + - caddy_config:/config + depends_on: + - web + - server + + docs: + build: ./docs + restart: unless-stopped + volumes: redis_data: + postgres_data: + server_data: + caddy_data: + caddy_config: + +networks: + default: + attachable: true diff --git a/docs/.gitignore b/docs/.gitignore new file mode 100644 index 00000000..b2d6de30 --- /dev/null +++ b/docs/.gitignore @@ -0,0 +1,20 @@ +# Dependencies +/node_modules + +# Production +/build + +# Generated files +.docusaurus +.cache-loader + +# Misc +.DS_Store +.env.local +.env.development.local +.env.test.local +.env.production.local + +npm-debug.log* +yarn-debug.log* +yarn-error.log* diff --git a/docs/Dockerfile b/docs/Dockerfile new file mode 100644 index 00000000..9ba748e0 --- /dev/null +++ b/docs/Dockerfile @@ -0,0 +1,39 @@ +FROM node:18-alpine AS builder +WORKDIR /app + +# Install curl for fetching OpenAPI spec +RUN apk add --no-cache curl + +# Copy package files +COPY package*.json ./ + +# Install dependencies +RUN npm ci + +# Copy source +COPY . . + +# Fetch OpenAPI spec from production API +ARG OPENAPI_URL=https://api-reflector.monadical.com/openapi.json +RUN mkdir -p ./static && curl -sf "${OPENAPI_URL}" -o ./static/openapi.json || echo '{}' > ./static/openapi.json + +# Fix docusaurus config: change onBrokenLinks to 'warn' for Docker build +RUN sed -i "s/onBrokenLinks: 'throw'/onBrokenLinks: 'warn'/g" docusaurus.config.ts + +# Build static site (skip prebuild hook by calling docusaurus directly) +RUN npx docusaurus build + +# Production image +FROM nginx:alpine + +# Copy built static files +COPY --from=builder /app/build /usr/share/nginx/html + +# Healthcheck for container orchestration +HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ + CMD wget --no-verbose --tries=1 --spider http://localhost/ || exit 1 + +# Expose port +EXPOSE 80 + +CMD ["nginx", "-g", "daemon off;"] diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 00000000..0c6c2c27 --- /dev/null +++ b/docs/README.md @@ -0,0 +1,41 @@ +# Website + +This website is built using [Docusaurus](https://docusaurus.io/), a modern static website generator. + +### Installation + +``` +$ yarn +``` + +### Local Development + +``` +$ yarn start +``` + +This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server. + +### Build + +``` +$ yarn build +``` + +This command generates static content into the `build` directory and can be served using any static contents hosting service. + +### Deployment + +Using SSH: + +``` +$ USE_SSH=true yarn deploy +``` + +Not using SSH: + +``` +$ GIT_USER= yarn deploy +``` + +If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch. diff --git a/docs/TODO.md b/docs/TODO.md new file mode 100644 index 00000000..e8f8c5af --- /dev/null +++ b/docs/TODO.md @@ -0,0 +1,48 @@ +# Documentation TODO - PR #778 Review Comments + +Remaining items from Tito's review. See CHANGES.md for completed items. + +--- + +## Remaining Items + +| File | Issue | Priority | Notes | +|------|-------|----------|-------| +| ~~`intro.md:10`~~ | ~~Add screenshots~~ | ~~Low~~ | ✅ **DONE** - Added transcript view screenshot | +| `file-pipeline.md:47` | chunk_size example shows 30s | Low | Unclear what example config should show (~16s actual) | +| ~~`self-hosted-gpu-setup.md:235`~~ | ~~systemd template in repo~~ | ~~Medium~~ | ✅ **REMOVED** - Systemd support removed entirely | +| ~~`installation/overview.md:85`~~ | ~~uv tool install~~ | ~~Low~~ | ✅ **DONE** - Changed to `uv tool install modal` | +| ~~`installation/overview.md:101`~~ | ~~"Why systemd?"~~ | ~~Low~~ | ✅ **REMOVED** - Systemd support removed entirely | +| `installation/overview.md:271` | Caddyfile copy removal | Low | Keeping for clarity | + +--- + +## Skipped (Decided Not To Fix) + +| File | Issue | Reason | +|------|-------|--------| +| `installation/overview.md:40` | Model size requirements | Uncertain about exact requirements | +| `installation/overview.md:136` | WebRTC ports | Handled by Daily/Whereby, not us | +| `installation/overview.md:136` | Security section | Risk of incomplete/misleading docs | +| `installation/overview.md:179` | AWS setup order | Low priority, works as-is | +| `installation/overview.md:410` | Redundant next steps | Issue doesn't exist (file ends at 401) | + +--- + +## Completed + +See CHANGES.md for full list. Summary: + +### Removals (9) +- Encrypted data storage, session management, analytics claims +- "coming soon" GPU, 30-second segments, CPU optimization +- Encryption at rest, manual migrations, modprobe commands + +### Fixes (9) +- WebRTC + Daily/Whereby, 4 API endpoints, Docker docs link +- NVIDIA steps merged, compose.yml referenced, cross-reference duplicate +- tee→nano, MOV format, troubleshooting link + +### Previously Fixed (7) +- Blog removal, Daily.co added, rate limiting removed (x2) +- PII claim removed, python→yaml, LUFS removed diff --git a/docs/create-docs.sh b/docs/create-docs.sh new file mode 100755 index 00000000..456efd96 --- /dev/null +++ b/docs/create-docs.sh @@ -0,0 +1,777 @@ +#!/bin/bash + +# Create directory structure +mkdir -p docs/concepts +mkdir -p docs/installation +mkdir -p docs/pipelines +mkdir -p docs/reference/architecture +mkdir -p docs/reference/processors +mkdir -p docs/reference/api + +# Create all documentation files with content +echo "Creating documentation files..." + +# Concepts - Modes +cat > docs/concepts/modes.md << 'EOF' +--- +sidebar_position: 2 +title: Operating Modes +--- + +# Operating Modes + +Reflector operates in two distinct modes to accommodate different use cases and security requirements. + +## Public Mode + +Public mode provides immediate access to core transcription features without requiring authentication. + +### Features Available +- **File Upload**: Process audio files up to 2GB +- **Live Transcription**: Stream audio from microphone +- **Basic Processing**: Transcription and diarization +- **Temporary Storage**: Results available for 24 hours + +### Limitations +- No persistent storage +- No meeting rooms +- Limited to single-user sessions +- No team collaboration features + +### Use Cases +- Quick transcription needs +- Testing and evaluation +- Individual users +- Public demonstrations + +## Private Mode + +Private mode unlocks the full potential of Reflector with authentication and persistent storage. + +### Additional Features +- **Virtual Meeting Rooms**: Whereby integration +- **Team Collaboration**: Share transcripts with team +- **Persistent Storage**: Long-term transcript archive +- **Advanced Analytics**: Meeting insights and trends +- **Custom Integration**: Webhooks and API access +- **User Management**: Role-based access control + +### Authentication Options + +#### Authentik Integration +Enterprise-grade SSO with support for: +- SAML 2.0 +- OAuth 2.0 / OIDC +- LDAP / Active Directory +- Multi-factor authentication + +#### JWT Authentication +Stateless token-based auth for: +- API access +- Service-to-service communication +- Mobile applications + +### Room Management + +Virtual rooms provide dedicated spaces for meetings: +- **Persistent URLs**: Same link for recurring meetings +- **Access Control**: Invite-only or open rooms +- **Recording Consent**: Automatic consent management +- **Custom Settings**: Per-room configuration + +## Mode Selection + +The mode is determined by your deployment configuration: + +```yaml +# Public Mode (no authentication) +REFLECTOR_AUTH_BACKEND=none + +# Private Mode (with authentication) +REFLECTOR_AUTH_BACKEND=jwt +# or +REFLECTOR_AUTH_BACKEND=authentik +``` + +## Feature Comparison + +| Feature | Public Mode | Private Mode | +|---------|------------|--------------| +| File Upload | ✅ | ✅ | +| Live Transcription | ✅ | ✅ | +| Speaker Diarization | ✅ | ✅ | +| Translation | ✅ | ✅ | +| Summarization | ✅ | ✅ | +| Meeting Rooms | ❌ | ✅ | +| Persistent Storage | ❌ | ✅ | +| Team Collaboration | ❌ | ✅ | +| API Access | Limited | Full | +| User Management | ❌ | ✅ | +| Custom Branding | ❌ | ✅ | +| Analytics | ❌ | ✅ | +| Webhooks | ❌ | ✅ | + +## Security Considerations + +### Public Mode Security +- Rate limiting to prevent abuse +- File size restrictions +- Automatic cleanup of old data +- No PII storage + +### Private Mode Security +- Encrypted data storage +- Audit logging +- Session management +- Access control lists +- Data retention policies + +## Choosing the Right Mode + +### Choose Public Mode if: +- You need quick, one-time transcriptions +- You're evaluating Reflector +- You don't need persistent storage +- You're processing non-sensitive content + +### Choose Private Mode if: +- You need team collaboration +- You require persistent storage +- You're processing sensitive content +- You need meeting room functionality +- You want advanced analytics +EOF + +# Concepts - Independence +cat > docs/concepts/independence.md << 'EOF' +--- +sidebar_position: 3 +title: Data Independence +--- + +# Data Independence & Privacy + +Reflector is designed with privacy and data independence as core principles, giving you complete control over your data and processing. + +## Privacy by Design + +### No Third-Party Data Sharing + +Your audio and transcripts are never shared with third parties: +- **Local Processing**: All ML models can run on your infrastructure +- **No Training on User Data**: Your content is never used to improve models +- **Isolated Processing**: Each transcript is processed in isolation +- **No Analytics Tracking**: No usage analytics sent to external services + +### Data Ownership + +You maintain complete ownership of all data: +- **Export Anytime**: Download all your transcripts and audio +- **Delete on Demand**: Permanent deletion with no recovery +- **API Access**: Full programmatic access to your data +- **No Vendor Lock-in**: Standard formats for easy migration + +## Processing Transparency + +### What Happens to Your Audio + +1. **Upload/Stream**: Audio received by your server +2. **Temporary Storage**: Stored only for processing duration +3. **Processing**: ML models process audio locally or on Modal +4. **Results Storage**: Transcripts stored in your database +5. **Cleanup**: Original audio deleted (unless configured otherwise) + +### Local vs Cloud Processing + +#### Local Processing +When configured for local processing: +- All models run on your hardware +- No data leaves your infrastructure +- Complete air-gap capability +- Higher hardware requirements + +#### Modal.com Processing +When using Modal for GPU acceleration: +- Audio chunks sent to Modal for processing +- Processed immediately and deleted +- No long-term storage on Modal +- Modal's security: SOC 2 Type II compliant + +### Data Retention + +Default retention policies: +- **Public Mode**: 24 hours then automatic deletion +- **Private Mode**: Configurable (default: indefinite) +- **Audio Files**: Deleted after processing (configurable) +- **Transcripts**: Retained based on policy + +## Compliance Features + +### GDPR Compliance + +- **Right to Access**: Export all user data +- **Right to Deletion**: Permanent data removal +- **Data Portability**: Standard export formats +- **Privacy by Default**: Minimal data collection + +### HIPAA Considerations + +For healthcare deployments: +- **Self-hosted Option**: Complete infrastructure control +- **Encryption**: At rest and in transit +- **Audit Logging**: Complete access trail +- **Access Controls**: Role-based permissions + +### Industry Standards + +- **TLS 1.3**: Modern encryption for data in transit +- **AES-256**: Encryption for data at rest +- **JWT Tokens**: Secure, stateless authentication +- **OWASP Guidelines**: Security best practices + +## Self-Hosted Deployment + +### Complete Independence + +Self-hosting provides maximum control: +- **Your Infrastructure**: Run on your servers +- **Your Network**: No external connections required +- **Your Policies**: Implement custom retention +- **Your Compliance**: Meet specific requirements + +### Air-Gap Capability + +Reflector can run completely offline: +1. Download all models during setup +2. Configure for local processing only +3. Disable all external integrations +4. Run in isolated network environment + +## Data Flow Control + +### Configurable Processing + +Control where each step happens: + +```yaml +# All local processing +TRANSCRIPT_BACKEND=local +DIARIZATION_BACKEND=local +TRANSLATION_BACKEND=local + +# Hybrid approach +TRANSCRIPT_BACKEND=modal # Fast GPU processing +DIARIZATION_BACKEND=local # Sensitive speaker data +TRANSLATION_BACKEND=modal # Non-sensitive translation +``` + +### Storage Options + +Choose where data is stored: +- **Local Filesystem**: Complete control +- **PostgreSQL**: Self-hosted database +- **S3-Compatible**: MinIO or AWS with encryption +- **Hybrid**: Different storage for different data types + +## Security Architecture + +### Defense in Depth + +Multiple layers of security: +1. **Network Security**: Firewalls and VPNs +2. **Application Security**: Input validation and sanitization +3. **Data Security**: Encryption and access controls +4. **Operational Security**: Logging and monitoring + +### Zero Trust Principles + +- **Verify Everything**: All requests authenticated +- **Least Privilege**: Minimal permissions granted +- **Assume Breach**: Design for compromise containment +- **Encrypt Everything**: No plaintext transmission + +## Audit and Compliance + +### Audit Logging + +Comprehensive logging of: +- **Access Events**: Who accessed what and when +- **Processing Events**: What was processed and how +- **Configuration Changes**: System modifications +- **Security Events**: Failed authentication attempts + +### Compliance Reporting + +Generate reports for: +- **Data Processing**: What data was processed +- **Data Access**: Who accessed the data +- **Data Retention**: What was retained or deleted +- **Security Events**: Security-related incidents + +## Best Practices + +### For Maximum Privacy + +1. **Self-host** all components +2. **Use local processing** for all models +3. **Implement short retention** periods +4. **Encrypt all storage** at rest +5. **Use VPN** for all connections +6. **Regular audits** of access logs + +### For Balanced Approach + +1. **Self-host core services** (database, API) +2. **Use Modal for processing** (faster, cost-effective) +3. **Implement encryption** everywhere +4. **Regular backups** with encryption +5. **Monitor access** patterns +EOF + +# Concepts - Pipeline +cat > docs/concepts/pipeline.md << 'EOF' +--- +sidebar_position: 4 +title: Processing Pipeline +--- + +# Processing Pipeline + +Reflector uses a sophisticated pipeline architecture to process audio efficiently and accurately. + +## Pipeline Overview + +The processing pipeline consists of modular components that can be combined and configured based on your needs: + +```mermaid +graph LR + A[Audio Input] --> B[Pre-processing] + B --> C[Chunking] + C --> D[Transcription] + D --> E[Diarization] + E --> F[Alignment] + F --> G[Post-processing] + G --> H[Output] +``` + +## Pipeline Components + +### Audio Input + +Accepts various input sources: +- **File Upload**: MP3, WAV, M4A, WebM, MP4 +- **WebRTC Stream**: Live browser audio +- **Recording Integration**: Whereby recordings +- **API Upload**: Direct API submission + +### Pre-processing + +Prepares audio for optimal processing: +- **Format Conversion**: Convert to 16kHz mono WAV +- **Normalization**: Adjust volume to -23 LUFS +- **Noise Reduction**: Optional background noise removal +- **Validation**: Check duration and quality + +### Chunking + +Splits audio for parallel processing: +- **Fixed Size**: 30-second chunks by default +- **Overlap**: 1-second overlap for continuity +- **Smart Boundaries**: Attempt to split at silence +- **Metadata**: Track chunk positions + +### Transcription + +Converts speech to text: +- **Model Selection**: Whisper or Parakeet +- **Language Detection**: Automatic or specified +- **Timestamp Generation**: Word-level timing +- **Confidence Scores**: Quality indicators + +### Diarization + +Identifies different speakers: +- **Voice Activity Detection**: Find speech segments +- **Speaker Embedding**: Extract voice characteristics +- **Clustering**: Group similar voices +- **Label Assignment**: Assign speaker IDs + +### Alignment + +Merges all processing results: +- **Chunk Assembly**: Combine transcription chunks +- **Speaker Mapping**: Align speakers with text +- **Overlap Resolution**: Handle chunk boundaries +- **Timeline Creation**: Build unified timeline + +### Post-processing + +Enhances the final output: +- **Formatting**: Apply punctuation and capitalization +- **Translation**: Convert to target languages +- **Summarization**: Generate concise summaries +- **Topic Extraction**: Identify key themes +- **Action Items**: Extract tasks and decisions + +## Processing Modes + +### Batch Processing + +For uploaded files: +- Optimized for throughput +- Parallel chunk processing +- Higher accuracy models +- Complete file analysis + +### Stream Processing + +For live audio: +- Optimized for latency +- Sequential processing +- Real-time feedback +- Progressive results + +### Hybrid Processing + +For meetings: +- Stream during meeting +- Batch after completion +- Best of both modes +- Maximum accuracy + +## Pipeline Configuration + +### Model Selection + +Choose models based on requirements: + +```python +# High accuracy (slower) +config = { + "transcription_model": "whisper-large-v3", + "diarization_model": "pyannote-3.1", + "translation_model": "seamless-m4t-large" +} + +# Balanced (default) +config = { + "transcription_model": "whisper-base", + "diarization_model": "pyannote-3.1", + "translation_model": "seamless-m4t-medium" +} + +# Fast processing +config = { + "transcription_model": "whisper-tiny", + "diarization_model": "pyannote-3.1-fast", + "translation_model": "seamless-m4t-small" +} +``` + +### Processing Options + +Customize pipeline behavior: + +```yaml +# Parallel processing +max_parallel_chunks: 10 +chunk_size_seconds: 30 +chunk_overlap_seconds: 1 + +# Quality settings +enable_noise_reduction: true +enable_normalization: true +min_speech_confidence: 0.5 + +# Post-processing +enable_translation: true +target_languages: ["es", "fr", "de"] +enable_summarization: true +summary_length: "medium" +``` + +## Performance Characteristics + +### Processing Times + +For 1 hour of audio: + +| Pipeline Config | Processing Time | Accuracy | +|----------------|-----------------|----------| +| Fast | 2-3 minutes | 85-90% | +| Balanced | 5-8 minutes | 92-95% | +| High Accuracy | 15-20 minutes | 95-98% | + +### Resource Usage + +| Component | CPU Usage | Memory | GPU | +|-----------|-----------|---------|-----| +| Transcription | Medium | 2-4 GB | Required | +| Diarization | High | 4-8 GB | Required | +| Translation | Low | 2-3 GB | Optional | +| Post-processing | Low | 1-2 GB | Not needed | + +## Pipeline Orchestration + +### Celery Task Chain + +The pipeline is orchestrated using Celery: + +```python +chain = ( + chunk_audio.s(audio_id) | + group(transcribe_chunk.s(chunk) for chunk in chunks) | + merge_transcriptions.s() | + diarize_audio.s() | + align_speakers.s() | + post_process.s() +) +``` + +### Error Handling + +Robust error recovery: +- **Automatic Retry**: Failed tasks retry up to 3 times +- **Partial Recovery**: Continue with successful chunks +- **Fallback Models**: Use alternative models on failure +- **Error Reporting**: Detailed error messages + +### Progress Tracking + +Real-time progress updates: +- **Chunk Progress**: Track individual chunk processing +- **Overall Progress**: Percentage completion +- **ETA Calculation**: Estimated completion time +- **WebSocket Updates**: Live progress to clients + +## Optimization Strategies + +### GPU Utilization + +Maximize GPU efficiency: +- **Batch Processing**: Process multiple chunks together +- **Model Caching**: Keep models loaded in memory +- **Dynamic Batching**: Adjust batch size based on GPU memory +- **Multi-GPU Support**: Distribute across available GPUs + +### Memory Management + +Efficient memory usage: +- **Streaming Processing**: Process large files in chunks +- **Garbage Collection**: Clean up after each chunk +- **Memory Limits**: Prevent out-of-memory errors +- **Disk Caching**: Use disk for large intermediate results + +### Network Optimization + +Minimize network overhead: +- **Compression**: Compress audio before transfer +- **CDN Integration**: Use CDN for static assets +- **Connection Pooling**: Reuse network connections +- **Parallel Uploads**: Multiple concurrent uploads + +## Quality Assurance + +### Accuracy Metrics + +Monitor processing quality: +- **Word Error Rate (WER)**: Transcription accuracy +- **Diarization Error Rate (DER)**: Speaker identification accuracy +- **Translation BLEU Score**: Translation quality +- **Summary Coherence**: Summary quality metrics + +### Validation Steps + +Ensure output quality: +- **Confidence Thresholds**: Filter low-confidence segments +- **Consistency Checks**: Verify timeline consistency +- **Language Validation**: Ensure correct language detection +- **Format Validation**: Check output format compliance + +## Advanced Features + +### Custom Models + +Use your own models: +- **Fine-tuned Whisper**: Domain-specific models +- **Custom Diarization**: Trained on your speakers +- **Specialized Post-processing**: Industry-specific formatting + +### Pipeline Extensions + +Add custom processing steps: +- **Sentiment Analysis**: Analyze emotional tone +- **Entity Extraction**: Identify people, places, organizations +- **Custom Metrics**: Calculate domain-specific metrics +- **Integration Hooks**: Call external services +EOF + +# Create installation documentation +cat > docs/installation/overview.md << 'EOF' +--- +sidebar_position: 1 +title: Installation Overview +--- + +# Installation Overview + +Reflector is designed for self-hosted deployment, giving you complete control over your infrastructure and data. + +## Deployment Options + +### Docker Deployment (Recommended) + +The easiest way to deploy Reflector: +- Pre-configured containers +- Automated dependency management +- Consistent environment +- Easy updates + +### Manual Installation + +For custom deployments: +- Greater control over configuration +- Integration with existing infrastructure +- Custom optimization options +- Development environments + +## Requirements + +### System Requirements + +**Minimum Requirements:** +- CPU: 4 cores +- RAM: 8 GB +- Storage: 50 GB +- OS: Ubuntu 20.04+ or similar Linux + +**Recommended Requirements:** +- CPU: 8+ cores +- RAM: 16 GB +- Storage: 100 GB SSD +- GPU: NVIDIA GPU with 8GB+ VRAM (for local processing) + +### Network Requirements + +- Public IP address (for WebRTC) +- Ports: 80, 443, 8000, 3000 +- Domain name (for SSL) +- SSL certificate (Let's Encrypt supported) + +## Required Services + +### Core Services + +These services are required for basic operation: + +1. **PostgreSQL** - Primary database +2. **Redis** - Message broker and cache +3. **Docker** - Container runtime + +### GPU Processing + +Choose one: +- **Modal.com** - Serverless GPU (recommended) +- **Local GPU** - Self-hosted GPU processing + +### Optional Services + +Enhance functionality with: +- **AWS S3** - Long-term storage +- **Whereby** - Video conferencing rooms +- **Authentik** - Enterprise authentication +- **Zulip** - Chat integration + +## Quick Start + +### Using Docker Compose + +1. Clone the repository: +```bash +git clone https://github.com/monadical-sas/reflector.git +cd reflector +``` + +2. Navigate to docker directory: +```bash +cd docker +``` + +3. Copy and configure environment: +```bash +cp .env.example .env +# Edit .env with your settings +``` + +4. Start services: +```bash +docker compose up -d +``` + +5. Access Reflector: +- Frontend: https://your-domain.com +- API: https://your-domain.com/api + +## Configuration Overview + +### Essential Configuration + +```env +# Database +DATABASE_URL=postgresql://user:pass@localhost/reflector + +# Redis +REDIS_URL=redis://localhost:6379 + +# Modal.com (for GPU processing) +TRANSCRIPT_MODAL_API_KEY=your-key +DIARIZATION_MODAL_API_KEY=your-key + +# Domain +DOMAIN=your-domain.com +``` + +### Security Configuration + +```env +# Authentication +REFLECTOR_AUTH_BACKEND=jwt +NEXTAUTH_SECRET=generate-strong-secret + +# SSL (handled by Caddy) +# Automatic with Let's Encrypt +``` + +## Service Architecture + +```mermaid +graph TD + A[Caddy Reverse Proxy] --> B[Frontend - Next.js] + A --> C[Backend - FastAPI] + C --> D[PostgreSQL] + C --> E[Redis] + C --> F[Celery Workers] + F --> G[Modal.com GPU] +``` + +## Next Steps + +1. **Review Requirements**: [System Requirements](./requirements) +2. **Docker Setup**: [Docker Deployment Guide](./docker-setup) +3. **Configure Services**: + - [Modal.com Setup](./modal-setup) + - [Whereby Setup](./whereby-setup) + - [AWS S3 Setup](./aws-setup) +4. **Optional Services**: + - [Authentik Setup](./authentik-setup) + - [Zulip Setup](./zulip-setup) + +## Getting Help + +- [Troubleshooting Guide](../reference/troubleshooting) +- [GitHub Issues](https://github.com/monadical-sas/reflector/issues) +- [Community Discord](#) +EOF + +chmod +x create-docs.sh +echo "Documentation creation script ready. Run ./create-docs.sh to generate all docs." \ No newline at end of file diff --git a/docs/docs/concepts/modes.md b/docs/docs/concepts/modes.md new file mode 100644 index 00000000..38ad163c --- /dev/null +++ b/docs/docs/concepts/modes.md @@ -0,0 +1,115 @@ +--- +sidebar_position: 2 +title: Operating Modes +--- + +# Operating Modes + +Reflector operates in two distinct modes to accommodate different use cases and security requirements. + +## Public Mode + +Public mode provides immediate access to core transcription features without requiring authentication. + +### Features Available +- **File Upload**: Process audio files +- **Live Transcription**: Stream audio from microphone +- **Basic Processing**: Transcription and diarization +- **Temporary Storage**: Temporary data retention (configurable) + +### Limitations +- No persistent storage +- No meeting rooms +- Limited to single-user sessions +- No team collaboration features + +### Use Cases +- Quick transcription needs +- Testing and evaluation +- Individual users +- Public demonstrations + +## Private Mode + +Private mode unlocks the full potential of Reflector with authentication and persistent storage. + +### Additional Features +- **Virtual Meeting Rooms**: Whereby and Daily.co integration +- **Team Collaboration**: Share transcripts with team +- **Persistent Storage**: Long-term transcript archive +- **Meeting History**: Search and browse past transcripts +- **Custom Integration**: Webhooks and API access +- **User Management**: Role-based access control + +### Authentication Options + +#### Authentik Integration +Enterprise-grade SSO with support for: +- SAML 2.0 +- OAuth 2.0 / OIDC +- LDAP / Active Directory +- Multi-factor authentication + +### Room Management + +Virtual rooms provide dedicated spaces for meetings: +- **Persistent URLs**: Same link for recurring meetings +- **Access Control**: Invite-only or open rooms +- **Recording Consent**: Automatic consent management +- **Custom Settings**: Per-room configuration + +## Mode Selection + +The mode is determined by your deployment configuration: + +```yaml +# Public Mode (no authentication) +AUTH_BACKEND=none + +# Private Mode (with authentication) +AUTH_BACKEND=jwt +``` + +See [Authentication Setup](../installation/auth-setup) for configuring JWT authentication. + +## Feature Comparison + +| Feature | Public Mode | Private Mode | +|---------|------------|--------------| +| File Upload | ✅ | ✅ | +| Live Transcription | ✅ | ✅ | +| Speaker Diarization | ✅ | ✅ | +| Summarization | ✅ | ✅ | +| Meeting Rooms | ❌ | ✅ | +| Persistent Storage | ❌ | ✅ | +| Team Collaboration | ❌ | ✅ | +| API Access | Limited | Full | +| User Management | ❌ | ✅ | +| Custom Branding | ❌ | ✅ | +| Meeting History | ❌ | ✅ | +| Webhooks | ❌ | ✅ | + +## Security Considerations + +### Public Mode Security +- File size restrictions +- Automatic cleanup of old data + +### Private Mode Security +- Access control lists +- Data retention policies + +## Choosing the Right Mode + +### Choose Public Mode if: +- You need quick, one-time transcriptions +- You're evaluating Reflector +- You don't need persistent storage +- You're processing non-sensitive content + +### Choose Private Mode if: +- You need team collaboration +- You require persistent storage +- You're processing sensitive content +- You need meeting room functionality +- You want searchable meeting history diff --git a/docs/docs/concepts/overview.md b/docs/docs/concepts/overview.md new file mode 100644 index 00000000..53194256 --- /dev/null +++ b/docs/docs/concepts/overview.md @@ -0,0 +1,201 @@ +--- +sidebar_position: 1 +title: Architecture Overview +--- + +# Architecture Overview + +Reflector is built as a modern, scalable, microservices-based application designed to handle audio processing workloads efficiently while maintaining data privacy and control. + +## System Components + +### Frontend Application + +The user interface is built with **Next.js 15** using the App Router pattern, providing: + +- Server-side rendering for optimal performance +- Real-time WebSocket connections for live transcription +- WebRTC support for audio streaming and live meetings (via Daily.co or Whereby) +- Responsive design with Chakra UI components + +### Backend API Server + +The core API is powered by **FastAPI**, a modern Python framework that provides: + +- High-performance async request handling +- Automatic OpenAPI documentation generation +- Type safety with Pydantic models +- WebSocket support for real-time updates + +### Processing Pipeline + +Audio processing is handled through a modular pipeline architecture: + +``` +Audio Input → Chunking → Transcription → Diarization → Post-Processing → Storage +``` + +Each step can run independently and in parallel, allowing for: +- Scalable processing of large files +- Real-time streaming capabilities +- Fault tolerance and retry mechanisms + +### Worker Architecture + +Background tasks are managed by **Celery** workers with **Redis** as the message broker: + +- Distributed task processing +- Priority queues for time-sensitive operations +- Automatic retry on failure +- Progress tracking and notifications + +### GPU Acceleration + +ML models run on GPU-accelerated infrastructure: + +- **Modal.com** for serverless GPU processing +- **Self-hosted GPU** with Docker deployment +- Automatic scaling based on demand +- Cost-effective pay-per-use model + +## Data Flow + +### Daily.co Meeting Recording Flow + +1. **Recording**: Daily.co captures separate audio tracks per participant +2. **Webhook**: Daily.co notifies Reflector when recording is ready +3. **Track Download**: Individual participant tracks fetched from S3 +4. **Padding**: Tracks padded with silence based on join time for synchronization +5. **Transcription**: Each track transcribed independently (speaker = track index) +6. **Merge**: Transcriptions sorted by timestamp and combined +7. **Mixdown**: Tracks mixed to single MP3 for playback +8. **Post-Processing**: Topics, title, and summaries generated via LLM +9. **Delivery**: Results stored and user notified via WebSocket + +### File Upload Flow + +1. **Upload**: User uploads audio file through web interface +2. **Storage**: File stored temporarily +3. **Transcription**: Full file transcribed via Whisper +4. **Diarization**: ML-based speaker identification (Pyannote) +5. **Post-Processing**: Topics, title, summaries +6. **Delivery**: Results stored and user notified + +### Live Streaming Flow + +1. **WebRTC Connection**: Browser establishes peer connection via Daily.co or Whereby +2. **Audio Capture**: Microphone audio streamed to server +3. **Buffering**: Audio buffered for processing +4. **Real-time Processing**: Segments transcribed as they arrive +5. **WebSocket Updates**: Results streamed back to client +6. **Continuous Assembly**: Full transcript built progressively + +## Deployment Architecture + +### Container-Based Deployment + +All components are containerized for consistent deployment: + +```yaml +services: + web: # Next.js application + server: # FastAPI server + worker: # Celery workers + redis: # Message broker + postgres: # Database + caddy: # Reverse proxy +``` + +### Networking + +- **Host Network Mode**: Required for WebRTC/ICE compatibility +- **Caddy Reverse Proxy**: Handles SSL termination and routing +- **WebSocket Upgrade**: Supports real-time connections + +## Scalability Considerations + +### Horizontal Scaling + +- **Stateless Backend**: Multiple API server instances +- **Worker Pools**: Add workers based on queue depth +- **Database Pooling**: Connection management for concurrent access + +### Vertical Scaling + +- **GPU Workers**: Scale up for faster model inference +- **Memory Optimization**: Efficient audio buffering + +## Security Architecture + +### Authentication & Authorization + +- **JWT Tokens**: Stateless authentication +- **Authentik Integration**: Enterprise SSO support +- **Role-Based Access**: Granular permissions + +### Data Protection + +- **Encryption in Transit**: TLS for all connections +- **Temporary Storage**: Automatic cleanup of processed files + +### Privacy by Design + +- **Local Processing**: Option to process entirely on-premises +- **No Training on User Data**: Models are pre-trained +- **Data Isolation**: Multi-tenant data separation + +## Integration Points + +### External Services + +- **Modal.com**: GPU processing +- **AWS S3**: Long-term storage +- **Whereby**: Video conferencing rooms +- **Zulip**: Chat integration (optional) + +### APIs and Webhooks + +- **RESTful API**: Standard CRUD operations +- **WebSocket API**: Real-time updates +- **Webhook Notifications**: Processing completion events +- **OpenAPI Specification**: Machine-readable API definition + +## Performance Optimization + +### Caching Strategy + +- **Redis Cache**: Frequently accessed data +- **CDN**: Static asset delivery +- **Browser Cache**: Client-side optimization + +### Database Optimization + +- **Indexed Queries**: Fast search and retrieval +- **Connection Pooling**: Efficient resource usage +- **Query Optimization**: N+1 query prevention + +### Processing Optimization + +- **Batch Processing**: Efficient GPU utilization +- **Parallel Execution**: Multi-core CPU usage +- **Stream Processing**: Reduced memory footprint + +## Monitoring and Observability + +### Metrics Collection + +- **Application Metrics**: Request rates, response times +- **System Metrics**: CPU, memory, disk usage +- **Business Metrics**: Transcription accuracy, processing times + +### Logging + +- **Structured Logging**: JSON format for analysis +- **Log Aggregation**: Centralized log management +- **Error Tracking**: Sentry integration + +### Health Checks + +- **Liveness Probes**: Component availability +- **Readiness Probes**: Service readiness +- **Dependency Checks**: External service status \ No newline at end of file diff --git a/docs/docs/concepts/pipeline.md b/docs/docs/concepts/pipeline.md new file mode 100644 index 00000000..910722af --- /dev/null +++ b/docs/docs/concepts/pipeline.md @@ -0,0 +1,183 @@ +--- +sidebar_position: 4 +title: Processing Pipeline +--- + +# Processing Pipeline + +Reflector uses a modular pipeline architecture to process audio efficiently and accurately. + +## Pipeline Overview + +The processing pipeline consists of modular components that can be combined and configured based on your needs: + +```mermaid +graph LR + A[Audio Input] --> B[Pre-processing] + B --> C[Chunking] + C --> D[Transcription] + D --> E[Diarization] + E --> F[Alignment] + F --> G[Post-processing] + G --> H[Output] +``` + +## Pipeline Components + +### Audio Input + +Accepts various input sources: +- **File Upload**: MP3, WAV, M4A, WebM, MP4 +- **WebRTC Stream**: Live browser audio +- **Recording Integration**: Daily.co and Whereby recordings +- **API Upload**: Direct API submission + +### Pre-processing + +Prepares audio for optimal processing: +- **Format Conversion**: Convert to 16kHz mono WAV +- **Noise Reduction**: Optional background noise removal +- **Validation**: Check duration and quality + +### Chunking + +Splits audio for parallel processing: +- **Configurable Size**: Audio split into processable segments +- **Silence Detection**: Optional splitting at natural pauses +- **Metadata**: Track chunk positions + +### Transcription + +Converts speech to text: +- **Model Selection**: Whisper or Parakeet +- **Language Detection**: Automatic or specified +- **Timestamp Generation**: Word-level timing +- **Confidence Scores**: Quality indicators + +### Diarization + +Identifies different speakers: +- **Voice Activity Detection**: Find speech segments +- **Speaker Embedding**: Extract voice characteristics +- **Clustering**: Group similar voices +- **Label Assignment**: Assign speaker IDs + +### Alignment + +Merges all processing results: +- **Chunk Assembly**: Combine transcription chunks +- **Speaker Mapping**: Align speakers with text +- **Overlap Resolution**: Handle chunk boundaries +- **Timeline Creation**: Build unified timeline + +### Post-processing + +Enhances the final output: +- **Formatting**: Apply punctuation and capitalization +- **Summarization**: Generate concise summaries +- **Topic Extraction**: Identify key themes +- **Action Items**: Extract tasks and decisions + +## Processing Modes + +### Batch Processing + +For uploaded files: +- Optimized for throughput +- Parallel chunk processing +- Higher accuracy models +- Complete file analysis + +### Stream Processing + +For live audio: +- Optimized for latency +- Sequential processing +- Real-time feedback +- Progressive results + +### Hybrid Processing + +For meetings: +- Stream during meeting +- Batch after completion +- Best of both modes +- Maximum accuracy + +## Pipeline Orchestration + +### Error Handling + +Error recovery: +- **Automatic Retry**: Failed tasks retry up to 3 times +- **Partial Recovery**: Continue with successful chunks +- **Fallback Models**: Use alternative models on failure +- **Error Reporting**: Detailed error messages + +### Progress Tracking + +Real-time progress updates: +- **Chunk Progress**: Track individual chunk processing +- **Overall Progress**: Percentage completion +- **ETA Calculation**: Estimated completion time +- **WebSocket Updates**: Live progress to clients + +## Optimization Strategies + +### GPU Utilization + +Maximize GPU efficiency: +- **Batch Processing**: Process multiple chunks together +- **Model Caching**: Keep models loaded in memory +- **Dynamic Batching**: Adjust batch size based on GPU memory +- **Multi-GPU Support**: Distribute across available GPUs + +### Memory Management + +Efficient memory usage: +- **Streaming Processing**: Process large files in chunks +- **Garbage Collection**: Clean up after each chunk +- **Memory Limits**: Prevent out-of-memory errors +- **Disk Caching**: Use disk for large intermediate results + +### Network Optimization + +Minimize network overhead: +- **Compression**: Compress audio before transfer +- **CDN Integration**: Use CDN for static assets +- **Connection Pooling**: Reuse network connections +- **Parallel Uploads**: Multiple concurrent uploads + +## Quality Assurance + +### Accuracy Metrics + +Monitor processing quality: +- **Word Error Rate (WER)**: Transcription accuracy +- **Diarization Error Rate (DER)**: Speaker identification accuracy +- **Summary Coherence**: Summary quality metrics + +### Validation Steps + +Ensure output quality: +- **Confidence Thresholds**: Filter low-confidence segments +- **Consistency Checks**: Verify timeline consistency +- **Language Validation**: Ensure correct language detection +- **Format Validation**: Check output format compliance + +## Advanced Features + +### Custom Models + +Use your own models: +- **Fine-tuned Whisper**: Domain-specific models +- **Custom Diarization**: Trained on your speakers +- **Specialized Post-processing**: Industry-specific formatting + +### Pipeline Extensions + +Add custom processing steps: +- **Sentiment Analysis**: Analyze emotional tone +- **Entity Extraction**: Identify people, places, organizations +- **Custom Metrics**: Calculate domain-specific metrics +- **Integration Hooks**: Call external services diff --git a/docs/docs/installation/auth-setup.md b/docs/docs/installation/auth-setup.md new file mode 100644 index 00000000..2bed65a1 --- /dev/null +++ b/docs/docs/installation/auth-setup.md @@ -0,0 +1,285 @@ +--- +sidebar_position: 5 +title: Authentication Setup +--- + +# Authentication Setup + +This page covers authentication setup in detail. For the complete deployment guide, see [Deployment Guide](./overview). + +Reflector uses [Authentik](https://goauthentik.io/) for OAuth/OIDC authentication. This guide walks you through setting up Authentik and connecting it to Reflector. + +The guide simplistically sets Authentic on the same server as Reflector. You can use your own Authentic instance instead. + +## Overview + +Reflector's authentication flow: +1. User clicks "Sign In" on frontend +2. Frontend redirects to Authentik login page +3. User authenticates with Authentik +4. Authentik redirects back with OAuth tokens +5. Frontend stores tokens, backends verify JWT signature + +## Option 1: Self-Hosted Authentik (Same Server) + +This setup runs Authentik on the same server as Reflector, with Caddy proxying to both. + +### Deploy Authentik + +```bash +# Create directory for Authentik +mkdir -p ~/authentik && cd ~/authentik + +# Download docker-compose file +curl -O https://goauthentik.io/docker-compose.yml + +# Generate secrets and bootstrap credentials +cat > .env << 'EOF' +PG_PASS=$(openssl rand -base64 36 | tr -d '\n') +AUTHENTIK_SECRET_KEY=$(openssl rand -base64 60 | tr -d '\n') +# Privacy-focused choice for self-hosted deployments +AUTHENTIK_ERROR_REPORTING__ENABLED=false +AUTHENTIK_BOOTSTRAP_PASSWORD=YourSecurePassword123 +AUTHENTIK_BOOTSTRAP_EMAIL=admin@example.com +EOF + +# Start Authentik +sudo docker compose up -d +``` + +Authentik takes ~2 minutes to run migrations and apply blueprints on first start. + +### Connect Authentik to Reflector's Network + +If Authentik runs in a separate Docker Compose project, connect it to Reflector's network so Caddy can proxy to it: + +```bash +# Wait for Authentik to be healthy +# Connect Authentik server to Reflector's network +sudo docker network connect reflector_default authentik-server-1 +``` + +**Important:** This step must be repeated if you restart Authentik with `docker compose down`. Add it to your deployment scripts or use `docker compose up -d` (which preserves containers) instead of down/up. + +### Add Authentik to Caddy + +Uncomment the Authentik section in your `Caddyfile` and set your domain: + +```bash +nano Caddyfile +``` + +Uncomment and edit: +``` +{$AUTHENTIK_DOMAIN:authentik.example.com} { + reverse_proxy authentik-server-1:9000 +} +``` + +Reload Caddy: +```bash +docker compose -f docker-compose.prod.yml exec caddy caddy reload --config /etc/caddy/Caddyfile +``` + +### Create OAuth2 Provider in Authentik + +**Option A: Automated Setup (Recommended)** + +**Location: Reflector server** + +Run the setup script from the Reflector repository: + +```bash +ssh user@your-server-ip +cd ~/reflector +./scripts/setup-authentik-oauth.sh https://authentik.example.com YourSecurePassword123 https://app.example.com +``` + +**Important:** The script must be run from the `~/reflector` directory on your server, as it creates files using relative paths. + +The script will output the configuration values to add to your `.env` files. Skip to "Update docker-compose.prod.yml". + +**Option B: Manual Setup** + +1. **Login to Authentik Admin** at `https://authentik.example.com/` + - Username: `akadmin` + - Password: The `AUTHENTIK_BOOTSTRAP_PASSWORD` you set in .env + +2. **Create OAuth2 Provider:** + - Go to **Applications > Providers > Create** + - Select **OAuth2/OpenID Provider** + - Configure: + - **Name**: `Reflector` + - **Authorization flow**: `default-provider-authorization-implicit-consent` + - **Client type**: `Confidential` + - **Client ID**: Note this value (auto-generated) + - **Client Secret**: Note this value (auto-generated) + - **Redirect URIs**: Add entry with: + ``` + https://app.example.com/api/auth/callback/authentik + ``` + - Scroll down to **Advanced protocol settings** + - In **Scopes**, add these three mappings: + - `authentik default OAuth Mapping: OpenID 'email'` + - `authentik default OAuth Mapping: OpenID 'openid'` + - `authentik default OAuth Mapping: OpenID 'profile'` + - Click **Finish** + +3. **Create Application:** + - Go to **Applications > Applications > Create** + - Configure: + - **Name**: `Reflector` + - **Slug**: `reflector` (auto-filled) + - **Provider**: Select the `Reflector` provider you just created + - Click **Create** + +### Get Public Key for JWT Verification + +**Location: Reflector server** + +Extract the public key from Authentik's JWKS endpoint: + +```bash +mkdir -p ~/reflector/server/reflector/auth/jwt/keys +curl -s https://authentik.example.com/application/o/reflector/jwks/ | \ + jq -r '.keys[0].x5c[0]' | base64 -d | openssl x509 -pubkey -noout \ + > ~/reflector/server/reflector/auth/jwt/keys/authentik_public.pem +``` + +### Update docker-compose.prod.yml + +**Location: Reflector server** + +**Note:** This step is already done in the current `docker-compose.prod.yml`. Verify the volume mounts exist: + +```yaml +server: + image: monadicalsas/reflector-backend:latest + # ... other config ... + volumes: + - server_data:/app/data + - ./server/reflector/auth/jwt/keys:/app/reflector/auth/jwt/keys:ro + +worker: + image: monadicalsas/reflector-backend:latest + # ... other config ... + volumes: + - server_data:/app/data + - ./server/reflector/auth/jwt/keys:/app/reflector/auth/jwt/keys:ro +``` + +### Configure Reflector Backend + +**Location: Reflector server** + +Update `server/.env`: +```env +# Authentication +AUTH_BACKEND=jwt +AUTH_JWT_PUBLIC_KEY=authentik_public.pem +AUTH_JWT_AUDIENCE= +CORS_ALLOW_CREDENTIALS=true +``` + +Replace `` with the Client ID from previous steps. + +### Configure Reflector Frontend + +**Location: Reflector server** + +Update `www/.env`: +```env +# Authentication +FEATURE_REQUIRE_LOGIN=true + +# Authentik OAuth +AUTHENTIK_ISSUER=https://authentik.example.com/application/o/reflector +AUTHENTIK_REFRESH_TOKEN_URL=https://authentik.example.com/application/o/token/ +AUTHENTIK_CLIENT_ID= +AUTHENTIK_CLIENT_SECRET= + +# NextAuth +NEXTAUTH_SECRET= +``` + +### Restart Services + +**Location: Reflector server** + +```bash +cd ~/reflector +sudo docker compose -f docker-compose.prod.yml up -d --force-recreate server worker web +``` + +### Verify Authentication + +1. Visit `https://app.example.com` +2. Click "Log in" or navigate to `/api/auth/signin` +3. Click "Sign in with Authentik" +4. Login with your Authentik credentials +5. You should be redirected back and see "Log out" in the header + +## Option 2: Disable Authentication + +For testing or internal deployments where authentication isn't needed: + +**Backend `server/.env`:** +```env +AUTH_BACKEND=none +``` + +**Frontend `www/.env`:** +```env +FEATURE_REQUIRE_LOGIN=false +``` + +**Note:** The pre-built Docker images have `FEATURE_REQUIRE_LOGIN=true` baked in. To disable auth, you'll need to rebuild the frontend image with the env var set at build time, or set up Authentik. + +## Troubleshooting + +### "Invalid redirect URI" error +- Verify the redirect URI in Authentik matches exactly: + ``` + https://app.example.com/api/auth/callback/authentik + ``` +- Check for trailing slashes - they must match exactly + +### "Invalid audience" JWT error +- Ensure `AUTH_JWT_AUDIENCE` in `server/.env` matches the Client ID from Authentik +- The audience value is the OAuth Client ID, not the issuer URL + +### "JWT verification failed" error +- Verify the public key file is mounted in the container +- Check `AUTH_JWT_PUBLIC_KEY` points to the correct filename +- Ensure the key was extracted from the correct provider's JWKS endpoint + +### Caddy returns 503 for Authentik +- Verify Authentik container is connected to Reflector's network: + ```bash + sudo docker network connect reflector_default authentik-server-1 + ``` +- Check Authentik is healthy: `cd ~/authentik && sudo docker compose ps` + +### Users can't access protected pages +- Verify `FEATURE_REQUIRE_LOGIN=true` in frontend +- Check `AUTH_BACKEND=jwt` in backend +- Verify CORS settings allow credentials + +### Token refresh errors +- Ensure Redis is running (frontend uses Redis for token caching) +- Verify `KV_URL` is set correctly in frontend env +- Check `AUTHENTIK_REFRESH_TOKEN_URL` is correct + +## API Key Authentication + +For programmatic access (scripts, integrations), users can generate API keys: + +1. Login to Reflector +2. Go to Settings > API Keys +3. Click "Generate New Key" +4. Use the key in requests: + ```bash + curl -H "X-API-Key: your-api-key" https://api.example.com/v1/transcripts + ``` + +API keys are stored hashed and can be revoked at any time. diff --git a/docs/docs/installation/daily-setup.md b/docs/docs/installation/daily-setup.md new file mode 100644 index 00000000..ea13a304 --- /dev/null +++ b/docs/docs/installation/daily-setup.md @@ -0,0 +1,165 @@ +--- +sidebar_position: 6 +title: Daily.co Setup +--- + +# Daily.co Setup + +This page covers Daily.co video platform setup for live meeting rooms. For the complete deployment guide, see [Deployment Guide](./overview). + +Daily.co enables live video meetings with automatic recording and transcription. + +## What You'll Set Up + +``` +User joins meeting → Daily.co video room → Recording to S3 → [Webhook] → Reflector transcribes +``` + +## Prerequisites + +- [ ] **Daily.co account** - Free tier at https://dashboard.daily.co +- [ ] **AWS account** - For S3 storage +- [ ] **Reflector deployed** - Complete steps from [Deployment Guide](./overview) + +--- + +## Create Daily.co Account + +1. Visit https://dashboard.daily.co and sign up +2. Verify your email +3. Note your subdomain (e.g., `yourname.daily.co` → subdomain is `yourname`) + +--- + +## Get Daily.co API Key + +1. In Daily.co dashboard, go to **Developers** +2. Click **API Keys** +3. Click **Create API Key** +4. Copy the key (starts with a long string) + +Save this for later. + +--- + +## Create AWS S3 Bucket + +Daily.co needs somewhere to store recordings before Reflector processes them. + +```bash +# Choose a unique bucket name +BUCKET_NAME="reflector-dailyco-yourname" # -yourname is not a requirement, you can name the bucket as you wish +AWS_REGION="us-east-1" + +# Create bucket +aws s3 mb s3://$BUCKET_NAME --region $AWS_REGION + +# Enable versioning (required) +aws s3api put-bucket-versioning \ + --bucket $BUCKET_NAME \ + --versioning-configuration Status=Enabled +``` + +--- + +## Create IAM Role for Daily.co + +Daily.co needs permission to write recordings to your S3 bucket. + +Follow the guide https://docs.daily.co/guides/products/live-streaming-recording/storing-recordings-in-a-custom-s3-bucket + +Save the role ARN - you'll need it soon. + +It looks like: `arn:aws:iam::123456789012:role/DailyCo` + +Shortly, you'll need to set up a role and give this role your s3 bucket access + +No additional setup is required from Daily.co settings website side: the app code takes care of letting Daily know where to save the recordings. + +--- + +## Configure Reflector + +**Location: Reflector server** + +Add to `server/.env`: + +```env +# Daily.co Configuration +DEFAULT_VIDEO_PLATFORM=daily +DAILY_API_KEY= +DAILY_SUBDOMAIN= + +# S3 Storage for Daily.co recordings +DAILYCO_STORAGE_AWS_BUCKET_NAME= +DAILYCO_STORAGE_AWS_REGION=us-east-1 +DAILYCO_STORAGE_AWS_ROLE_ARN= + +# Transcript storage (should already be configured from main setup) +# TRANSCRIPT_STORAGE_BACKEND=aws +# TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID= +# TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY= +# TRANSCRIPT_STORAGE_AWS_BUCKET_NAME= +# TRANSCRIPT_STORAGE_AWS_REGION= +``` + +--- + +## Restart Services + +After changing `.env` files, reload with `up -d`: + +```bash +sudo docker compose -f docker-compose.prod.yml up -d server worker +``` + +**Note**: `docker compose up -d` detects env changes and recreates containers automatically. + +--- + +## Test Live Room + +1. Visit your Reflector frontend: `https://app.example.com` +2. Go to **Rooms** +3. Click **Create Room** +4. Select **Daily** as the platform +5. Allow camera/microphone access +6. You should see Daily.co video interface +7. Speak for 10-20 seconds +8. Leave the meeting +9. Recording should appear in **Transcripts** within 5 minutes (if webhooks aren't set up yet, see [Webhook Configuration](#webhook-configuration-optional) below) + +--- + +## Troubleshooting + +### Recording doesn't appear in S3 + +1. Check Daily.co dashboard → **Logs** for errors +2. Verify IAM role trust policy has correct Daily.co account ID and your Daily.co subdomain +3. Verify that the bucket has + +### Recording in S3 but not transcribed + +1. Check webhook is configured (Reflector should auto-create it) +2. Check worker logs: + ```bash + docker compose -f docker-compose.prod.yml logs worker --tail 50 + ``` +3. Verify `DAILYCO_STORAGE_AWS_*` vars in `server/.env` + +### "Access Denied" when Daily.co tries to write to S3 + +1. Double-check IAM role ARN in Daily.co settings +2. Verify bucket name matches exactly +3. Check IAM policy has `s3:PutObject` permission + +--- + +## Webhook Configuration [optional] + +`manage_daily_webhook.py` script guides you through creating a webhook for Daily recordings. + +The webhook isn't required - polling mechanism is the default and performed automatically. + +This guide won't go deep into webhook setup. diff --git a/docs/docs/installation/docker-setup.md b/docs/docs/installation/docker-setup.md new file mode 100644 index 00000000..701ad15e --- /dev/null +++ b/docs/docs/installation/docker-setup.md @@ -0,0 +1,192 @@ +--- +sidebar_position: 3 +title: Docker Reference +--- + +# Docker Reference + +This page documents the Docker Compose configuration for Reflector. For the complete deployment guide, see [Deployment Guide](./overview). + +## Services + +The `docker-compose.prod.yml` includes these services: + +| Service | Image | Purpose | +|---------|-------|---------| +| `web` | `monadicalsas/reflector-frontend` | Next.js frontend | +| `server` | `monadicalsas/reflector-backend` | FastAPI backend | +| `worker` | `monadicalsas/reflector-backend` | Celery worker for background tasks | +| `beat` | `monadicalsas/reflector-backend` | Celery beat scheduler | +| `redis` | `redis:7.2-alpine` | Message broker and cache | +| `postgres` | `postgres:17-alpine` | Primary database | +| `caddy` | `caddy:2-alpine` | Reverse proxy with auto-SSL | + +## Environment Files + +Reflector uses two separate environment files: + +### Backend (`server/.env`) + +Used by: `server`, `worker`, `beat` + +Key variables: +```env +# Database connection +DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector + +# Redis +REDIS_HOST=redis +CELERY_BROKER_URL=redis://redis:6379/1 +CELERY_RESULT_BACKEND=redis://redis:6379/1 + +# API domain and CORS +BASE_URL=https://api.example.com +CORS_ORIGIN=https://app.example.com + +# Modal GPU processing +TRANSCRIPT_BACKEND=modal +TRANSCRIPT_URL=https://... +TRANSCRIPT_MODAL_API_KEY=... +``` + +### Frontend (`www/.env`) + +Used by: `web` + +Key variables: +```env +# Domain configuration +SITE_URL=https://app.example.com +API_URL=https://api.example.com +WEBSOCKET_URL=wss://api.example.com +SERVER_API_URL=http://server:1250 + +# Authentication +NEXTAUTH_URL=https://app.example.com +NEXTAUTH_SECRET=... +``` + +Note: `API_URL` is used client-side (browser), `SERVER_API_URL` is used server-side (SSR). + +## Volumes + +| Volume | Purpose | +|--------|---------| +| `redis_data` | Redis persistence | +| `postgres_data` | PostgreSQL data | +| `server_data` | Uploaded files, local storage | +| `caddy_data` | SSL certificates | +| `caddy_config` | Caddy configuration | + +## Network + +All services share the default network. The network is marked `attachable: true` to allow external containers (like Authentik) to join. + +## Common Commands + +### Start all services +```bash +docker compose -f docker-compose.prod.yml up -d +``` + +### View logs +```bash +# All services +docker compose -f docker-compose.prod.yml logs -f + +# Specific service +docker compose -f docker-compose.prod.yml logs server --tail 50 +``` + +### Restart a service +```bash +# Quick restart (doesn't reload .env changes) +docker compose -f docker-compose.prod.yml restart server + +# Reload .env and restart +docker compose -f docker-compose.prod.yml up -d server +``` + +### Run database migrations +```bash +docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head +``` + +### Access database +```bash +docker compose -f docker-compose.prod.yml exec postgres psql -U reflector +``` + +### Pull latest images +```bash +docker compose -f docker-compose.prod.yml pull +docker compose -f docker-compose.prod.yml up -d +``` + +### Stop all services +```bash +docker compose -f docker-compose.prod.yml down +``` + +### Full reset (WARNING: deletes data) +```bash +docker compose -f docker-compose.prod.yml down -v +``` + +## Customization + +### Using a different database + +To use an external PostgreSQL: + +1. Remove `postgres` service from compose file +2. Update `DATABASE_URL` in `server/.env`: + ```env + DATABASE_URL=postgresql+asyncpg://user:pass@external-host:5432/reflector + ``` + +### Using external Redis + +1. Remove `redis` service from compose file +2. Update Redis settings in `server/.env`: + ```env + REDIS_HOST=external-redis-host + CELERY_BROKER_URL=redis://external-redis-host:6379/1 + ``` + +### Adding Authentik + +To add Authentik for authentication, see [Authentication Setup](./auth-setup). Quick steps: + +1. Deploy Authentik separately +2. Connect to Reflector's network: + ```bash + docker network connect reflector_default authentik-server-1 + ``` +3. Add to Caddyfile: + ``` + authentik.example.com { + reverse_proxy authentik-server-1:9000 + } + ``` + +## Caddyfile Reference + +The Caddyfile supports environment variable substitution: + +``` +{$FRONTEND_DOMAIN:app.example.com} { + reverse_proxy web:3000 +} + +{$API_DOMAIN:api.example.com} { + reverse_proxy server:1250 +} +``` + +Set `FRONTEND_DOMAIN` and `API_DOMAIN` environment variables, or edit the file directly. + +### Reload Caddy after changes +```bash +docker compose -f docker-compose.prod.yml exec caddy caddy reload --config /etc/caddy/Caddyfile +``` diff --git a/docs/docs/installation/docs-deployment.md b/docs/docs/installation/docs-deployment.md new file mode 100644 index 00000000..fe604e9c --- /dev/null +++ b/docs/docs/installation/docs-deployment.md @@ -0,0 +1,139 @@ +--- +sidebar_position: 10 +title: Docs Website Deployment +--- + +# Docs Website Deployment + +This guide covers deploying the Reflector documentation website. **This is optional and intended for internal/experimental use only.** + +## Overview + +The documentation is built using Docusaurus and deployed as a static nginx-served site. + +## Prerequisites + +- Reflector already deployed (Steps 1-7 from [Deployment Guide](./overview)) +- DNS A record for docs subdomain (e.g., `docs.example.com`) + +## Deployment Steps + +### Step 1: Pre-fetch OpenAPI Spec + +The docs site includes API reference from your running backend. Fetch it before building: + +```bash +cd ~/reflector +docker compose -f docker-compose.prod.yml exec server curl -s http://localhost:1250/openapi.json > docs/static/openapi.json +``` + +This creates `docs/static/openapi.json` (should be ~70KB) which will be copied during Docker build. + +**Why not fetch during build?** Docker build containers are network-isolated and can't access the running backend services. + +### Step 2: Verify Dockerfile + +The Dockerfile is already in `docs/Dockerfile`: + +```dockerfile +FROM node:18-alpine AS builder +WORKDIR /app + +# Copy package files +COPY package*.json ./ + +# Inshall dependencies +RUN npm ci + +# Copy source (includes static/openapi.json if pre-fetched) +COPY . . + +# Fix docusaurus config: change onBrokenLinks to 'warn' for Docker build +RUN sed -i "s/onBrokenLinks: 'throw'/onBrokenLinks: 'warn'/g" docusaurus.config.ts + +# Build static site +RUN npx docusaurus build + +FROM nginx:alpine +COPY --from=builder /app/build /usr/share/nginx/html +EXPOSE 80 +CMD ["nginx", "-g", "daemon off;"] +``` + +### Step 3: Add Docs Service to docker-compose.prod.yml + +Add this service to `docker-compose.prod.yml`: + +```yaml +docs: + build: ./docs + restart: unless-stopped + networks: + - default +``` + +### Step 4: Add Caddy Route + +Add to `Caddyfile`: + +``` +{$DOCS_DOMAIN:docs.example.com} { + reverse_proxy docs:80 +} +``` + +### Step 5: Build and Deploy + +```bash +cd ~/reflector +docker compose -f docker-compose.prod.yml up -d --build docs +docker compose -f docker-compose.prod.yml exec caddy caddy reload --config /etc/caddy/Caddyfile +``` + +### Step 6: Verify + +```bash +# Check container status +docker compose -f docker-compose.prod.yml ps docs +# Should show "Up" + +# Test URL +curl -I https://docs.example.com +# Should return HTTP/2 200 +``` + +Visit `https://docs.example.com` in your browser + +## Updating Documentation + +When docs are updated: + +```bash +cd ~/reflector +git pull + +# Refresh OpenAPI spec from backend +docker compose -f docker-compose.prod.yml exec server curl -s http://localhost:1250/openapi.json > docs/static/openapi.json + +# Rebuild docs +docker compose -f docker-compose.prod.yml up -d --build docs +``` + +## Troubleshooting + +### Missing openapi.json during build +- Make sure you ran the pre-fetch step first (Step 1) +- Verify `docs/static/openapi.json` exists and is ~70KB +- Re-run: `docker compose exec server curl -s http://localhost:1250/openapi.json > docs/static/openapi.json` + +### Build fails with "Docusaurus found broken links" +- This happens if `onBrokenLinks: 'throw'` is set in docusaurus.config.ts +- Solution is already in Dockerfile: uses `sed` to change to `'warn'` during build + +### 404 on all pages +- Docusaurus baseUrl might be wrong - should be `/` for custom domain +- Check `docs/docusaurus.config.ts`: `baseUrl: '/'` + +### Docs not updating after rebuild +- Force rebuild: `docker compose -f docker-compose.prod.yml build --no-cache docs` +- Then: `docker compose -f docker-compose.prod.yml up -d docs` diff --git a/docs/docs/installation/modal-setup.md b/docs/docs/installation/modal-setup.md new file mode 100644 index 00000000..812fe541 --- /dev/null +++ b/docs/docs/installation/modal-setup.md @@ -0,0 +1,171 @@ +--- +sidebar_position: 4 +title: Modal.com Setup +--- + +# Modal.com Setup + +This page covers Modal.com GPU setup in detail. For the complete deployment guide, see [Deployment Guide](./overview). + +Reflector uses [Modal.com](https://modal.com) for GPU-accelerated audio processing. This guide walks you through deploying the required GPU functions. + +## What is Modal.com? + +Modal is a serverless GPU platform. You deploy Python code that runs on their GPUs, and pay only for actual compute time. Reflector uses Modal for: + +- **Transcription**: Whisper model for speech-to-text +- **Diarization**: Pyannote model for speaker identification + +## Prerequisites + +1. **Modal.com account** - Sign up at https://modal.com (free tier available) +2. **HuggingFace account** - Required for Pyannote diarization models: + - Create account at https://huggingface.co + - Accept **both** Pyannote licenses: + - https://huggingface.co/pyannote/speaker-diarization-3.1 + - https://huggingface.co/pyannote/segmentation-3.0 + - Generate access token at https://huggingface.co/settings/tokens + +## Deployment + +**Location: YOUR LOCAL COMPUTER (laptop/desktop)** + +Modal CLI requires browser authentication, so this must run on a machine with a browser - not on a headless server. + +### Install Modal CLI + +```bash +uv tool install modal +``` + +### Authenticate with Modal + +```bash +modal setup +``` + +This opens your browser for authentication. Complete the login flow. + +### Clone Repository and Deploy + +```bash +git clone https://github.com/monadical-sas/reflector.git +cd reflector/gpu/modal_deployments +./deploy-all.sh --hf-token YOUR_HUGGINGFACE_TOKEN +``` + +Or run interactively (script will prompt for token): +```bash +./deploy-all.sh +``` + +### What the Script Does + +1. **Prompts for HuggingFace token** - Needed to download the Pyannote diarization model +2. **Generates API key** - Creates a secure random key for authenticating requests to GPU functions +3. **Creates Modal secrets**: + - `hf_token` - Your HuggingFace token + - `reflector-gpu` - The generated API key +4. **Deploys GPU functions** - Transcriber (Whisper) and Diarizer (Pyannote) +5. **Outputs configuration** - Prints URLs and API key to console + +### Example Output + +``` +========================================== +Reflector GPU Functions Deployment +========================================== + +Generating API key for GPU services... +Creating Modal secrets... + -> Creating secret: hf_token + -> Creating secret: reflector-gpu + +Deploying transcriber (Whisper)... + -> https://yourname--reflector-transcriber-web.modal.run + +Deploying diarizer (Pyannote)... + -> https://yourname--reflector-diarizer-web.modal.run + +========================================== +Deployment complete! +========================================== + +Copy these values to your server's server/.env file: + +# --- Modal GPU Configuration --- +TRANSCRIPT_BACKEND=modal +TRANSCRIPT_URL=https://yourname--reflector-transcriber-web.modal.run +TRANSCRIPT_MODAL_API_KEY=abc123... + +DIARIZATION_BACKEND=modal +DIARIZATION_URL=https://yourname--reflector-diarizer-web.modal.run +DIARIZATION_MODAL_API_KEY=abc123... +# --- End Modal Configuration --- +``` + +Copy the output and paste it into your `server/.env` file on your server. + +## Costs + +Modal charges based on GPU compute time: +- Functions scale to zero when not in use (no cost when idle) +- You only pay for actual processing time +- Free tier includes $30/month of credits + +Typical costs for audio processing: +- Transcription: ~$0.01-0.05 per minute of audio +- Diarization: ~$0.02-0.10 per minute of audio + +## Troubleshooting + +### "Modal CLI not installed" +```bash +uv tool install modal +``` + +### "Not authenticated with Modal" +```bash +modal setup +# Complete browser authentication +``` + +### "Failed to create secret hf_token" +- Verify your HuggingFace token is valid +- Ensure you've accepted the Pyannote license +- Token needs `read` permission + +### Deployment fails +Check the Modal dashboard for detailed error logs: +- Visit https://modal.com/apps +- Click on the failed function +- View build and runtime logs + +### Re-running deployment +The script is safe to re-run. It will: +- Update existing secrets if they exist +- Redeploy functions with latest code +- Output new configuration (API key stays the same if secret exists) + +## Manual Deployment (Advanced) + +If you prefer to deploy functions individually: + +```bash +cd gpu/modal_deployments + +# Create secrets manually +modal secret create hf_token HF_TOKEN=your-hf-token +modal secret create reflector-gpu REFLECTOR_GPU_APIKEY=$(openssl rand -hex 32) + +# Deploy each function +modal deploy reflector_transcriber.py +modal deploy reflector_diarizer.py +``` + +## Monitoring + +View your deployed functions and their usage: +- **Modal Dashboard**: https://modal.com/apps +- **Function logs**: Click on any function to view logs +- **Usage**: View compute time and costs in the dashboard diff --git a/docs/docs/installation/overview.md b/docs/docs/installation/overview.md new file mode 100644 index 00000000..f6218d64 --- /dev/null +++ b/docs/docs/installation/overview.md @@ -0,0 +1,411 @@ +--- +sidebar_position: 1 +title: Deployment Guide +--- + +# Deployment Guide + +This guide walks you through deploying Reflector from scratch. Follow these steps in order. + +## What You'll Set Up + +```mermaid +flowchart LR + User --> Caddy["Caddy (auto-SSL)"] + Caddy --> Frontend["Frontend (Next.js)"] + Caddy --> Backend["Backend (FastAPI)"] + Backend --> PostgreSQL + Backend --> Redis + Backend --> Workers["Celery Workers"] + Workers --> PostgreSQL + Workers --> Redis + Workers --> GPU["GPU Processing
(Modal.com OR Self-hosted)"] +``` + +## Prerequisites + +Before starting, you need: + +- **Production server** - 4+ cores, 8GB+ RAM, public IP +- **Two domain names** - e.g., `app.example.com` (frontend) and `api.example.com` (backend) +- **GPU processing** - Choose one: + - Modal.com account, OR + - GPU server with NVIDIA GPU (8GB+ VRAM) +- **HuggingFace account** - Free at https://huggingface.co + - Accept both Pyannote licenses (required for speaker diarization): + - https://huggingface.co/pyannote/speaker-diarization-3.1 + - https://huggingface.co/pyannote/segmentation-3.0 +- **LLM API** - For summaries and topic detection. Choose one: + - OpenAI API key at https://platform.openai.com/account/api-keys, OR + - Any OpenAI-compatible endpoint (vLLM, LiteLLM, Ollama, etc.) +- **AWS S3 bucket** - For storing audio files and transcripts (see [S3 Setup](#create-s3-bucket-for-transcript-storage) below) + +### Optional (for live meeting rooms) + +- [ ] **Daily.co account** - Free tier at https://dashboard.daily.co +- [ ] **AWS S3 bucket + IAM Role** - For Daily.co recording storage (separate from transcript storage) + +--- + +## Configure DNS + +``` +Type: A Name: app Value: +Type: A Name: api Value: +``` + +--- + +## Deploy GPU Processing + +Reflector requires GPU processing for transcription and speaker diarization. Choose one option: + +| | **Modal.com (Cloud)** | **Self-Hosted GPU** | +|---|---|---| +| **Best for** | No GPU hardware, zero maintenance | Own GPU server, full control | +| **Pricing** | Pay-per-use | Fixed infrastructure cost | + +### Option A: Modal.com (Serverless Cloud GPU) + +#### Accept HuggingFace Licenses + +Visit both pages and click "Accept": +- https://huggingface.co/pyannote/speaker-diarization-3.1 +- https://huggingface.co/pyannote/segmentation-3.0 + +Generate a token at https://huggingface.co/settings/tokens + +#### Deploy to Modal + +There's an install script to help with this setup. It's using modal API to set all necessary moving parts. + +As an alternative, all those operations that script does could be performed in modal settings in modal UI. + +```bash +uv tool install modal +modal setup # opens browser for authentication + +git clone https://github.com/monadical-sas/reflector.git +cd reflector/gpu/modal_deployments +./deploy-all.sh --hf-token YOUR_HUGGINGFACE_TOKEN +``` + +**Save the output** - copy the configuration block, you'll need it soon. + +See [Modal Setup](./modal-setup) for troubleshooting and details. + +### Option B: Self-Hosted GPU + +**Location: YOUR GPU SERVER** + +Requires: NVIDIA GPU with 8GB+ VRAM, Ubuntu 22.04+, 40-50GB disk. + +See [Self-Hosted GPU Setup](./self-hosted-gpu-setup) for complete instructions. Quick summary: + +1. Install NVIDIA drivers and Docker +2. Clone repository: `git clone https://github.com/monadical-sas/reflector.git` +3. Configure `.env` with HuggingFace token +4. Start service with Docker compose +5. Set up Caddy reverse proxy for HTTPS + +**Save your API key and HTTPS URL** - you'll need them soon. + +--- + +## Prepare Server + +**Location: dedicated reflector server** + +### Install Docker + +```bash +ssh user@your-server-ip + +curl -fsSL https://get.docker.com | sh +sudo usermod -aG docker $USER + +# Log out and back in for group changes +exit +ssh user@your-server-ip + +docker --version # verify +``` + +### Firewall + +Ensure ports 80 (HTTP) and 443 (HTTPS) are open for inbound traffic. The method varies by cloud provider and OS configuration. + +**For live transcription without Daily/Whereby rooms**: WebRTC requires UDP port range 49152-65535 for media traffic. + +### Clone Repository + +The Docker images contain all application code. You clone the repository for configuration files and the compose definition: + +```bash +git clone https://github.com/monadical-sas/reflector.git +cd reflector +``` + +--- + +## Create S3 Bucket for Transcript Storage + +Reflector requires AWS S3 to store audio files during processing. + +### Create Bucket + +```bash +# Choose a unique bucket name +BUCKET_NAME="reflector-transcripts-yourname" +AWS_REGION="us-east-1" + +# Create bucket +aws s3 mb s3://$BUCKET_NAME --region $AWS_REGION +``` + +### Create IAM User + +Create an IAM user with S3 access for Reflector: + +1. Go to AWS IAM Console → Users → Create User +2. Name: `reflector-transcripts` +3. Attach policy: `AmazonS3FullAccess` (or create a custom policy for just your bucket) +4. Create access key (Access key ID + Secret access key) + +Save these credentials - you'll need them in the next step. + +--- + +## Configure Environment + +Reflector has two env files: +- `server/.env` - Backend configuration +- `www/.env` - Frontend configuration + +### Backend Configuration + +```bash +cp server/.env.example server/.env +nano server/.env +``` + +**Required settings:** +```env +# Database (defaults work with docker-compose.prod.yml) +DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector + +# Redis +REDIS_HOST=redis +CELERY_BROKER_URL=redis://redis:6379/1 +CELERY_RESULT_BACKEND=redis://redis:6379/1 + +# Your domains +BASE_URL=https://api.example.com +CORS_ORIGIN=https://app.example.com +CORS_ALLOW_CREDENTIALS=true + +# Secret key - generate with: openssl rand -hex 32 +SECRET_KEY= + +# GPU Processing - choose ONE option: + +# Option A: Modal.com (paste from deploy-all.sh output) +TRANSCRIPT_BACKEND=modal +TRANSCRIPT_URL=https://yourname--reflector-transcriber-web.modal.run +TRANSCRIPT_MODAL_API_KEY= +DIARIZATION_BACKEND=modal +DIARIZATION_URL=https://yourname--reflector-diarizer-web.modal.run +DIARIZATION_MODAL_API_KEY= + +# Option B: Self-hosted GPU (use your GPU server URL and API key) +# TRANSCRIPT_BACKEND=modal +# TRANSCRIPT_URL=https://gpu.example.com +# TRANSCRIPT_MODAL_API_KEY= +# DIARIZATION_BACKEND=modal +# DIARIZATION_URL=https://gpu.example.com +# DIARIZATION_MODAL_API_KEY= + +# Storage - where to store audio files and transcripts (requires AWS S3) +TRANSCRIPT_STORAGE_BACKEND=aws +TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID=your-aws-access-key +TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY=your-aws-secret-key +TRANSCRIPT_STORAGE_AWS_BUCKET_NAME=reflector-media +TRANSCRIPT_STORAGE_AWS_REGION=us-east-1 + +# LLM - for generating titles, summaries, and topics +LLM_API_KEY=sk-your-openai-api-key +LLM_MODEL=gpt-4o-mini +# LLM_URL=https://api.openai.com/v1 # Optional: custom endpoint (vLLM, LiteLLM, Ollama, etc.) + +# Auth - disable for initial setup (see a dedicated step for authentication) +AUTH_BACKEND=none +``` + +### Frontend Configuration + +```bash +cp www/.env.example www/.env +nano www/.env +``` + +**Required settings:** +```env +# Your domains +SITE_URL=https://app.example.com +API_URL=https://api.example.com +WEBSOCKET_URL=wss://api.example.com +SERVER_API_URL=http://server:1250 + +# NextAuth +NEXTAUTH_URL=https://app.example.com +NEXTAUTH_SECRET= + +# Disable login requirement for initial setup +FEATURE_REQUIRE_LOGIN=false +``` + +--- + +## Configure Caddy + +```bash +cp Caddyfile.example Caddyfile +nano Caddyfile +``` + +Replace `example.com` with your domains. The `{$VAR:default}` syntax uses Caddy's env var substitution - you can either edit the file directly or set `FRONTEND_DOMAIN` and `API_DOMAIN` environment variables. + +``` +{$FRONTEND_DOMAIN:app.example.com} { + reverse_proxy web:3000 +} + +{$API_DOMAIN:api.example.com} { + reverse_proxy server:1250 +} +``` + +--- + +## Start Services + +```bash +docker compose -f docker-compose.prod.yml up -d +``` + +Wait for containers to start (first run may take 1-2 minutes to pull images and initialize). + +--- + +## Verify Deployment + +### Check services +```bash +docker compose -f docker-compose.prod.yml ps +# All should show "Up" +``` + +### Test API +```bash +curl https://api.example.com/health +# Should return: {"status":"healthy"} +``` + +### Test Frontend +- Visit https://app.example.com +- You should see the Reflector interface +- Try uploading an audio file to test transcription + +If any verification fails, see [Troubleshooting](#troubleshooting) below. + +--- + +## Enable Authentication (Required for Live Rooms) + +By default, Reflector is open (no login required). **Authentication is required if you want to use Live Meeting Rooms.** + +See [Authentication Setup](./auth-setup) for full Authentik OAuth configuration. + +Quick summary: +1. Deploy Authentik on your server +2. Create OAuth provider in Authentik +3. Extract public key for JWT verification +4. Update `server/.env`: `AUTH_BACKEND=jwt` + `AUTH_JWT_AUDIENCE` +5. Update `www/.env`: `FEATURE_REQUIRE_LOGIN=true` + Authentik credentials +6. Mount JWT keys volume and restart services + +--- + +## Enable Live Meeting Rooms + +**Requires: Authentication Step** + +Live rooms require Daily.co and AWS S3. See [Daily.co Setup](./daily-setup) for complete S3/IAM configuration instructions. + +Note that Reflector also supports Whereby as a call provider - this doc doesn't cover its setup yet. + +Quick config - Add to `server/.env`: + +```env +DEFAULT_VIDEO_PLATFORM=daily +DAILY_API_KEY= +DAILY_SUBDOMAIN= + +# S3 for recording storage +DAILYCO_STORAGE_AWS_BUCKET_NAME= +DAILYCO_STORAGE_AWS_REGION=us-east-1 +DAILYCO_STORAGE_AWS_ROLE_ARN= +``` + +Reload env and restart: +```bash +docker compose -f docker-compose.prod.yml up -d server worker +``` + +--- + +## Troubleshooting + +### Check logs for errors +```bash +docker compose -f docker-compose.prod.yml logs server --tail 20 +docker compose -f docker-compose.prod.yml logs worker --tail 20 +``` + +### Services won't start +```bash +docker compose -f docker-compose.prod.yml logs +``` + +### CORS errors in browser +- Verify `CORS_ORIGIN` in `server/.env` matches your frontend domain exactly (including `https://`) +- Reload env: `docker compose -f docker-compose.prod.yml up -d server` + +### SSL certificate errors +- Caddy auto-provisions Let's Encrypt certificates +- Ensure ports 80 and 443 are open +- Check: `docker compose -f docker-compose.prod.yml logs caddy` + +### Transcription not working +- Check Modal dashboard: https://modal.com/apps +- Verify URLs in `server/.env` match deployed functions +- Check worker logs: `docker compose -f docker-compose.prod.yml logs worker` + +### "Login required" but auth not configured +- Set `FEATURE_REQUIRE_LOGIN=false` in `www/.env` +- Rebuild frontend: `docker compose -f docker-compose.prod.yml up -d --force-recreate web` + +### Database migrations or connectivity issues +Migrations run automatically on server startup. To check database connectivity or debug migration failures: + +```bash +# Check server logs for migration errors +docker compose -f docker-compose.prod.yml logs server | grep -i -E "(alembic|migration|database|postgres)" + +# Verify database connectivity +docker compose -f docker-compose.prod.yml exec server uv run python -c "from reflector.db import engine; print('DB connected')" + +# Manually run migrations (if needed) +docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head +``` + diff --git a/docs/docs/installation/requirements.md b/docs/docs/installation/requirements.md new file mode 100644 index 00000000..726871b0 --- /dev/null +++ b/docs/docs/installation/requirements.md @@ -0,0 +1,63 @@ +--- +sidebar_position: 2 +title: System Requirements +--- + +# System Requirements + +This page lists hardware and software requirements. For the complete deployment guide, see [Deployment Guide](./overview). + +## Server Requirements + +### Minimum Requirements + +- **CPU**: 4 cores +- **RAM**: 8 GB +- **Storage**: 50 GB SSD +- **OS**: Ubuntu 22.04+ or compatible Linux +- **Network**: Public IP address + +### Recommended Requirements + +- **CPU**: 8+ cores +- **RAM**: 16 GB +- **Storage**: 100 GB SSD +- **Network**: 1 Gbps connection + +## Software Requirements + +- Docker Engine 20.10+ +- Docker Compose 2.0+ + +## External Services + +### Required + +- **Two domain names** - One for frontend (e.g., `app.example.com`), one for API (e.g., `api.example.com`) +- **Modal.com account** - For GPU-accelerated transcription and diarization (free tier available) +- **HuggingFace account** - For Pyannote diarization model access +- **LLM API** - For generating summaries and topic detection. Options: + - OpenAI API (https://platform.openai.com/account/api-keys) + - Any OpenAI-compatible endpoint (vLLM, LiteLLM, Ollama) + - Self-hosted: Phi-4 14B 4-bit recommended (~8GB VRAM) + +### Required for Live Meeting Rooms + +- **Daily.co account** - For video conferencing (free tier available at https://dashboard.daily.co) +- **AWS S3 bucket + IAM Role** - For Daily.co to store recordings +- **Another AWS S3 bucket (optional, can reuse the one above)** - For Reflector to store "compiled" mp3 files and transient diarization process temporary files + +### Optional + +- **AWS S3** - For cloud storage of recordings and transcripts +- **Authentik** - For SSO/OIDC authentication +- **Sentry** - For error tracking + +## Development Requirements + +For local development only (not required for production deployment): + +- Node.js 22+ (for frontend development) +- Python 3.12+ (for backend development) +- pnpm (for frontend package management) +- uv (for Python package management) diff --git a/docs/docs/installation/self-hosted-gpu-setup.md b/docs/docs/installation/self-hosted-gpu-setup.md new file mode 100644 index 00000000..48ec67e7 --- /dev/null +++ b/docs/docs/installation/self-hosted-gpu-setup.md @@ -0,0 +1,307 @@ +--- +sidebar_position: 5 +title: Self-Hosted GPU Setup +--- + +# Self-Hosted GPU Setup + +This guide covers deploying Reflector's GPU processing on your own server instead of Modal.com. For the complete deployment guide, see [Deployment Guide](./overview). + +## When to Use Self-Hosted GPU + +**Choose self-hosted GPU if you:** +- Have GPU hardware available (NVIDIA required) +- Want full control over processing +- Prefer fixed infrastructure costs over pay-per-use +- Have privacy or data locality requirements +- Need to process audio without external API calls + +**Choose Modal.com instead if you:** +- Don't have GPU hardware +- Want zero infrastructure management +- Prefer pay-per-use pricing +- Need instant scaling for variable workloads + +See [Modal.com Setup](./modal-setup) for cloud GPU deployment. + +## What Gets Deployed + +The self-hosted GPU service provides the same API endpoints as Modal: +- `POST /v1/audio/transcriptions` - Whisper transcription +- `POST /v1/audio/transcriptions-from-url` - Transcribe from URL +- `POST /diarize` - Pyannote speaker diarization +- `POST /translate` - Audio translation + +Your main Reflector server connects to this service exactly like it connects to Modal - only the URL changes. + +## Prerequisites + +### Hardware +- **GPU**: NVIDIA GPU with 8GB+ VRAM (tested on Tesla T4 with 15GB) +- **CPU**: 4+ cores recommended +- **RAM**: 8GB minimum, 16GB recommended +- **Disk**: 40-50GB minimum + +### Software +- Public IP address +- Domain name with DNS A record pointing to server + +### Accounts +- **HuggingFace account** with accepted Pyannote licenses: + - https://huggingface.co/pyannote/speaker-diarization-3.1 + - https://huggingface.co/pyannote/segmentation-3.0 +- **HuggingFace access token** from https://huggingface.co/settings/tokens + +## Docker Deployment + +### Step 1: Install NVIDIA Driver + +```bash +sudo apt update +sudo apt install -y nvidia-driver-535 +sudo reboot + +# After reboot, verify installation +nvidia-smi +``` + +Expected output: GPU details with driver version and CUDA version. + +### Step 2: Install Docker + +Follow the [official Docker installation guide](https://docs.docker.com/engine/install/ubuntu/) for your distribution. + +After installation, add your user to the docker group: + +```bash +sudo usermod -aG docker $USER + +# Log out and back in for group changes +exit +# SSH back in +``` + +### Step 3: Install NVIDIA Container Toolkit + +```bash +# Add NVIDIA repository and install toolkit +curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | \ + sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg + +curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \ + sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \ + sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list + +sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit +sudo nvidia-ctk runtime configure --runtime=docker +sudo systemctl restart docker +``` + +### Step 4: Clone Repository and Configure + +```bash +git clone https://github.com/monadical-sas/reflector.git +cd reflector/gpu/self_hosted + +# Create environment file +cat > .env << EOF +REFLECTOR_GPU_APIKEY=$(openssl rand -hex 16) +HF_TOKEN=your_huggingface_token_here +EOF + +# Note the generated API key - you'll need it for main server config +cat .env +``` + +### Step 5: Build and Start + +The repository includes a `compose.yml` file. Build and start: + + +```bash +# Build image (takes ~5 minutes, downloads ~10GB) +sudo docker compose build + +# Start service +sudo docker compose up -d + +# Wait for startup and verify +sleep 30 +sudo docker compose logs +``` + +Look for: `INFO: Application startup complete. Uvicorn running on http://0.0.0.0:8000` + +### Step 7: Verify GPU Access + +```bash +# Check GPU is accessible from container +sudo docker exec $(sudo docker ps -q) nvidia-smi +``` + +Should show GPU with ~3GB VRAM used (models loaded). + +--- + +## Configure HTTPS with Caddy + +Caddy handles SSL automatically. + +### Install Caddy + +```bash +sudo apt install -y debian-keyring debian-archive-keyring apt-transport-https curl + +curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/gpg.key' | \ + sudo gpg --dearmor -o /usr/share/keyrings/caddy-stable-archive-keyring.gpg + +curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/debian.deb.txt' | \ + sudo tee /etc/apt/sources.list.d/caddy-stable.list + +sudo apt update +sudo apt install -y caddy +``` + +### Configure Reverse Proxy + +Edit the Caddyfile with your domain: + +```bash +sudo nano /etc/caddy/Caddyfile +``` + +Add (replace `gpu.example.com` with your domain): + +``` +gpu.example.com { + reverse_proxy localhost:8000 +} +``` + +Reload Caddy (auto-provisions SSL certificate): + +```bash +sudo systemctl reload caddy +``` + +### Verify HTTPS + +```bash +curl -I https://gpu.example.com/docs +# Should return HTTP/2 200 +``` + +--- + +## Configure Main Reflector Server + +On your main Reflector server, update `server/.env`: + +```env +# GPU Processing - Self-hosted +TRANSCRIPT_BACKEND=modal +TRANSCRIPT_URL=https://gpu.example.com +TRANSCRIPT_MODAL_API_KEY= + +DIARIZATION_BACKEND=modal +DIARIZATION_URL=https://gpu.example.com +DIARIZATION_MODAL_API_KEY= +``` + +**Note:** The backend type is `modal` because the self-hosted GPU service implements the same API contract as Modal.com. This allows you to switch between cloud and self-hosted GPU processing by only changing the URL and API key. + +Restart services to apply: + +```bash +docker compose -f docker-compose.prod.yml restart server worker +``` + +--- + +## Service Management + +All commands in this section assume you're in `~/reflector/gpu/self_hosted/`. + +```bash +# View logs +sudo docker compose logs -f + +# Restart service +sudo docker compose restart + +# Stop service +sudo docker compose down + +# Check status +sudo docker compose ps +``` + +### Monitor GPU + +```bash +# Check GPU usage +nvidia-smi + +# Watch in real-time +watch -n 1 nvidia-smi +``` + +**Typical GPU memory usage:** +- Idle (models loaded): ~3GB VRAM +- During transcription: ~4-5GB VRAM + +--- + +## Troubleshooting + +### nvidia-smi fails after driver install + +```bash +# Manually load kernel modules +sudo modprobe nvidia +nvidia-smi +``` + +### Service fails with "Could not download pyannote pipeline" + +1. Verify HF_TOKEN is valid: `echo $HF_TOKEN` +2. Check model access at https://huggingface.co/pyannote/speaker-diarization-3.1 +3. Update .env with correct token +4. Restart service: `sudo docker compose restart` + +### Cannot connect to HTTPS endpoint + +1. Verify DNS resolves: `dig +short gpu.example.com` +2. Check firewall: `sudo ufw status` (ports 80, 443 must be open) +3. Check Caddy: `sudo systemctl status caddy` +4. View Caddy logs: `sudo journalctl -u caddy -n 50` + +### SSL certificate not provisioning + +Requirements for Let's Encrypt: +- Ports 80 and 443 publicly accessible +- DNS resolves to server's public IP +- Valid domain (not localhost or private IP) + +### Docker container won't start + +```bash +# Check logs +sudo docker compose logs + +# Common issues: +# - Port 8000 already in use +# - GPU not accessible (nvidia-ctk not configured) +# - Missing .env file +``` + +--- + +## Updating + +```bash +cd ~/reflector/gpu/self_hosted +git pull +sudo docker compose build +sudo docker compose up -d +``` diff --git a/docs/docs/intro.md b/docs/docs/intro.md new file mode 100644 index 00000000..b69378b1 --- /dev/null +++ b/docs/docs/intro.md @@ -0,0 +1,61 @@ +--- +sidebar_position: 1 +title: Introduction +--- + +# Welcome to Reflector + +Reflector is a privacy-focused, self-hosted AI-powered audio transcription and meeting analysis platform that provides real-time transcription, speaker diarization, and summarization for audio content and live meetings. With complete control over your data and infrastructure, you can run models on your own hardware (roadmap - currently supports Modal.com for GPU processing). + +## What is Reflector? + +Reflector is a web application that utilizes AI to process audio content, providing: + +- **Real-time Transcription**: Convert speech to text using [Whisper](https://github.com/openai/whisper) (multi-language) or [Parakeet](https://github.com/NVIDIA/NeMo) (English) models +- **Speaker Diarization**: Identify and label different speakers using [Pyannote](https://github.com/pyannote/pyannote-audio) 3.1 +- **Topic Detection & Summarization**: Extract key topics and generate concise summaries using LLMs +- **Meeting Recording**: Create permanent records of meetings with searchable transcripts + +![Reflector Transcript View](/img/reflector-transcript-view.png) + +## Features + +| Feature | Public Mode | Private Mode | +|--------------------------------------------|------------|--------------| +| **Authentication** | None required | Required | +| **Audio Upload** | ✅ | ✅ | +| **Live Microphone Streaming** | ✅ | ✅ | +| **Transcription** | ✅ | ✅ | +| **Speaker Diarization** | ✅ | ✅ | +| **Topic Detection** | ✅ | ✅ | +| **Summarization** | ✅ | ✅ | +| **Virtual Meeting Rooms (Whereby, Daily)** | ❌ | ✅ | +| **Browse Transcripts Page** | ❌ | ✅ | +| **Search Functionality** | ❌ | ✅ | +| **Persistent Storage** | ❌ | ✅ | + +## Architecture Overview + +Reflector consists of three main components: + +- **Frontend**: React application built with Next.js +- **Backend**: Python server using FastAPI +- **Processing**: Scalable GPU workers for ML inference (Modal.com or local) + +## Getting Started + +Ready to deploy Reflector? Head over to our [Installation Guide](./installation/overview) to set up your own instance. + +For a quick overview of how Reflector processes audio, check out our [Pipeline Documentation](./pipelines/overview). + +## Open Source + +Reflector is open source software developed by [Monadical](https://monadical.com) and licensed under the **MIT License**. We welcome contributions from the community! + +- [GitHub Repository](https://github.com/monadical-sas/reflector) +- [Issue Tracker](https://github.com/monadical-sas/reflector/issues) +- [Pull Requests](https://github.com/monadical-sas/reflector/pulls) + +## Support + +Need help? Reach out to the community through GitHub Discussions. \ No newline at end of file diff --git a/docs/docs/pipelines/file-pipeline.md b/docs/docs/pipelines/file-pipeline.md new file mode 100644 index 00000000..6f03cdd2 --- /dev/null +++ b/docs/docs/pipelines/file-pipeline.md @@ -0,0 +1,83 @@ +--- +sidebar_position: 2 +title: File Processing Pipeline +--- + +# File Processing Pipeline + +The file processing pipeline handles uploaded audio files, optimizing for accuracy and throughput. + +## Pipeline Stages + +### 1. Input Stage + +**Accepted Formats:** +- MP3 (most common) +- WAV (uncompressed) +- M4A (Apple format) +- WebM (browser recordings) +- MP4 (video with audio track) + +**File Validation:** +- Sample rate: Any (will be resampled to 16kHz) + +### 2. Pre-processing + +**Audio Normalization:** +```yaml +# Convert to standard format +- Sample rate: 16kHz (Whisper requirement) +- Channels: Mono +- Bit depth: 16-bit +- Format: WAV +``` + +**Noise Reduction (Optional):** +- Background noise removal +- Echo cancellation +- High-pass filter for rumble + +### 3. Chunking Strategy + +Audio is split into segments for processing: +- Configurable chunk sizes +- Optional silence detection for natural breaks +- Parallel processing of chunks + +### 4. Transcription Processing + +Transcription uses OpenAI Whisper models via Modal.com or self-hosted GPU: +- Automatic language detection +- Word-level timestamps + +### 5. Diarization (Speaker Identification) + +Speaker diarization uses Pyannote 3.1: + +1. **Voice Activity Detection (VAD)** - Identifies speech segments +2. **Speaker Embedding** - Extracts voice characteristics +3. **Clustering** - Groups similar voices +4. **Segmentation** - Assigns speaker labels to time segments + +### 6. Alignment & Merging + +- Combines transcription with speaker diarization +- Maps speaker labels to transcript segments +- Resolves timing overlaps +- Validates timeline consistency + +### 7. Post-processing Chain + +- **Text Formatting**: Punctuation, capitalization +- **Topic Detection**: LLM-based topic extraction +- **Summarization**: AI-generated summaries and action items + +### 8. Storage & Delivery + +**File Storage:** +- Original audio: S3 (optional) +- Transcript exports: JSON, VTT, TXT + +**Notifications:** +- WebSocket updates during processing +- Webhook notifications on completion (optional) \ No newline at end of file diff --git a/docs/docs/reference/api.md b/docs/docs/reference/api.md new file mode 100644 index 00000000..ac4ff698 --- /dev/null +++ b/docs/docs/reference/api.md @@ -0,0 +1,28 @@ +--- +title: API Reference +--- + +# API Reference + +The complete API documentation is auto-generated from the OpenAPI specification. + +## Interactive Documentation + +When running Reflector, interactive API docs are available at: + +- **Swagger UI**: `https://your-api-domain/docs` +- **ReDoc**: `https://your-api-domain/redoc` + +## OpenAPI Specification + +The raw OpenAPI 3.0 specification can be downloaded from: + +``` +https://your-api-domain/openapi.json +``` + +A static copy is also available: [openapi.json](/openapi.json) + +## Authentication + +See [Authentication Setup](../installation/auth-setup) for configuring API authentication. diff --git a/docs/docs/roadmap.md b/docs/docs/roadmap.md new file mode 100644 index 00000000..5a590398 --- /dev/null +++ b/docs/docs/roadmap.md @@ -0,0 +1,112 @@ +--- +sidebar_position: 100 +title: Roadmap +--- + +# Product Roadmap + +Our development roadmap for Reflector, focusing on expanding capabilities while maintaining privacy and performance. + +## Planned Features + +### 🌍 Multi-Language Support Enhancement + +**Current State:** +- Whisper supports multi-language transcription +- Parakeet supports English only with high accuracy + +**Planned Improvements:** +- Default language selection per room/user +- Automatic language detection improvements +- Multi-language diarization support +- RTL (Right-to-Left) language UI support +- Language-specific post-processing rules + +### 🏠 Self-Hosted Room Providers + +**Jitsi Integration** + +Moving beyond Whereby to support self-hosted video conferencing: + +- No API keys required +- Complete control over video infrastructure +- Custom branding and configuration +- Lower operational costs +- Enhanced privacy with self-hosted video + +**Implementation Plan:** +- WebRTC bridge for Jitsi Meet +- Room management API integration +- Recording synchronization +- Participant tracking + +### 📅 Calendar Integration + +**Planned Capabilities:** +- Google Calendar synchronization +- Microsoft Outlook integration +- Automatic meeting room creation +- Pre-meeting document preparation +- Post-meeting transcript delivery +- Recurring meeting support + +**Features:** +- Auto-join scheduled meetings +- Calendar-based access control +- Meeting agenda import +- Action item export to calendar + +## Future Considerations + +### Enhanced Analytics +- Meeting insights dashboard +- Speaker participation metrics +- Topic trends over time +- Team collaboration patterns + +### Advanced AI Features +- Real-time sentiment analysis +- Emotion detection +- Meeting quality scores +- Automated coaching suggestions + +### Integration Ecosystem +- Slack/Teams notifications +- CRM integration (Salesforce, HubSpot) +- Project management tools (Jira, Asana) +- Knowledge bases (Notion, Confluence) + +### Performance Improvements +- WebAssembly for client-side processing +- Edge computing support +- 5G network optimization +- Blockchain for transcript verification + +## Contributing + +We welcome community contributions! Areas where you can help: + +1. **Language Support**: Add support for your language +2. **Integrations**: Connect with your favorite tools +3. **Models**: Fine-tune models for specific domains +4. **Documentation**: Improve guides and examples + +See our [Contributing Guide](https://github.com/monadical-sas/reflector/blob/main/CONTRIBUTING.md) for details. + +## Timeline + +We don't provide specific dates as development depends on community contributions and priorities. Features are generally released when they're ready and properly tested. + +## Feature Requests + +Have an idea for Reflector? We'd love to hear it! + +- [Open a GitHub Issue](https://github.com/monadical-sas/reflector/issues/new) +- [Join our Discord](#) +- [Email us](mailto:reflector@monadical.com) + +## Stay Updated + +- Watch our [GitHub repository](https://github.com/monadical-sas/reflector) +- Follow our [blog](#) +- Subscribe to our [newsletter](#) \ No newline at end of file diff --git a/docs/docusaurus.config.ts b/docs/docusaurus.config.ts new file mode 100644 index 00000000..1c6522bc --- /dev/null +++ b/docs/docusaurus.config.ts @@ -0,0 +1,163 @@ +import {themes as prismThemes} from 'prism-react-renderer'; +import type {Config} from '@docusaurus/types'; +import type * as Preset from '@docusaurus/preset-classic'; +import type * as OpenApiPlugin from 'docusaurus-plugin-openapi-docs'; + +const config: Config = { + title: 'Reflector', + tagline: 'AI-powered audio transcription and meeting analysis platform', + favicon: 'img/favicon.ico', + + url: 'https://monadical-sas.github.io', + baseUrl: '/', + + organizationName: 'monadical-sas', + projectName: 'reflector', + + onBrokenLinks: 'throw', + onBrokenMarkdownLinks: 'warn', + + markdown: { + mermaid: true, + }, + + i18n: { + defaultLocale: 'en', + locales: ['en'], + }, + + presets: [ + [ + 'classic', + { + docs: { + sidebarPath: './sidebars.ts', + editUrl: 'https://github.com/monadical-sas/reflector/tree/main/docs/', + }, + blog: false, + theme: { + customCss: './src/css/custom.css', + }, + } satisfies Preset.Options, + ], + ], + + plugins: [ + [ + 'docusaurus-plugin-openapi-docs', + { + id: 'openapi', + docsPluginId: 'classic', + config: { + reflectorapi: { + specPath: 'static/openapi.json', // Use local file fetched by script + outputDir: 'docs/reference/api-generated', + sidebarOptions: { + groupPathsBy: 'tag', + categoryLinkSource: 'tag', + }, + downloadUrl: '/openapi.json', + hideSendButton: false, + showExtensions: true, + }, + } satisfies OpenApiPlugin.Options, + }, + ], + ], + + themes: ['docusaurus-theme-openapi-docs', '@docusaurus/theme-mermaid'], + + themeConfig: { + image: 'img/reflector-social-card.jpg', + colorMode: { + defaultMode: 'light', + disableSwitch: false, + respectPrefersColorScheme: true, + }, + navbar: { + title: 'Reflector', + logo: { + alt: 'Reflector Logo', + src: 'img/reflector-logo.svg', + }, + items: [ + { + type: 'docSidebar', + sidebarId: 'tutorialSidebar', + position: 'left', + label: 'Documentation', + }, + { + to: '/docs/reference/api', + label: 'API', + position: 'left', + }, + { + href: 'https://github.com/monadical-sas/reflector', + label: 'GitHub', + position: 'right', + }, + ], + }, + footer: { + style: 'dark', + links: [ + { + title: 'Documentation', + items: [ + { + label: 'Introduction', + to: '/docs/intro', + }, + { + label: 'Installation', + to: '/docs/installation/overview', + }, + { + label: 'API Reference', + to: '/docs/reference/api', + }, + ], + }, + { + title: 'Resources', + items: [ + { + label: 'Architecture', + to: '/docs/reference/architecture/overview', + }, + { + label: 'Pipelines', + to: '/docs/pipelines/overview', + }, + { + label: 'Roadmap', + to: '/docs/roadmap', + }, + ], + }, + { + title: 'More', + items: [ + { + label: 'GitHub', + href: 'https://github.com/monadical-sas/reflector', + }, + { + label: 'Docker Hub', + href: 'https://hub.docker.com/r/reflector/backend', + }, + ], + }, + ], + copyright: `Copyright © ${new Date().getFullYear()} Monadical. 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Built with Docusaurus.`, + }, + prism: { + theme: prismThemes.github, + darkTheme: prismThemes.dracula, + additionalLanguages: ['python', 'bash', 'docker', 'yaml'], + }, + } satisfies Preset.ThemeConfig, +}; + +export default config; \ No newline at end of file diff --git a/docs/package-lock.json b/docs/package-lock.json new file mode 100644 index 00000000..04f14419 --- /dev/null +++ b/docs/package-lock.json @@ -0,0 +1,23526 @@ +{ + "name": "docs", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "docs", + "version": "0.0.0", + "dependencies": { + "@docusaurus/core": "3.6.3", + "@docusaurus/preset-classic": "3.6.3", + "@docusaurus/theme-mermaid": "3.6.3", + "@mdx-js/react": "^3.0.0", + "clsx": "^2.0.0", + "docusaurus-plugin-openapi-docs": "^4.5.1", + "docusaurus-theme-openapi-docs": "^4.5.1", + "prism-react-renderer": "^2.3.0", + "react": "^18.0.0", + "react-dom": "^18.0.0" + }, + "devDependencies": { + 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docusaurus gen-api-docs reflector", + "prebuild": "npm run fetch-openapi" + }, + "dependencies": { + "@docusaurus/core": "3.6.3", + "@docusaurus/preset-classic": "3.6.3", + "@mdx-js/react": "^3.0.0", + "clsx": "^2.0.0", + "docusaurus-plugin-openapi-docs": "^4.5.1", + "docusaurus-theme-openapi-docs": "^4.5.1", + "@docusaurus/theme-mermaid": "3.6.3", + "prism-react-renderer": "^2.3.0", + "react": "^18.0.0", + "react-dom": "^18.0.0" + }, + "devDependencies": { + "@docusaurus/module-type-aliases": "3.6.3", + "@docusaurus/tsconfig": "3.6.3", + "@docusaurus/types": "3.6.3", + "typescript": "~5.6.2" + }, + "browserslist": { + "production": [ + ">0.5%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 3 chrome version", + "last 3 firefox version", + "last 5 safari version" + ] + }, + "engines": { + "node": ">=18.0" + } +} diff --git a/docs/scripts/fetch-openapi.sh b/docs/scripts/fetch-openapi.sh new file mode 100755 index 00000000..4801e77d --- /dev/null +++ b/docs/scripts/fetch-openapi.sh @@ -0,0 +1,115 @@ +#!/bin/bash + +# Script to fetch OpenAPI specification from FastAPI backend +# Used during documentation build process + +set -e + +echo "📡 Fetching OpenAPI specification from FastAPI backend..." + +# Colors for output +RED='\033[0;31m' +GREEN='\033[0;32m' +YELLOW='\033[1;33m' +NC='\033[0m' # No Color + +# Configuration +BACKEND_DIR="../server" +OPENAPI_OUTPUT="./static/openapi.json" +SERVER_PORT=1250 # Reflector uses port 1250 by default +MAX_WAIT=30 + +# Check if backend directory exists +if [ ! -d "$BACKEND_DIR" ]; then + echo -e "${RED}Error: Backend directory not found at $BACKEND_DIR${NC}" + exit 1 +fi + +# Function to check if server is running +check_server() { + curl -s -o /dev/null -w "%{http_code}" "http://localhost:${SERVER_PORT}/openapi.json" 2>/dev/null +} + +# Function to cleanup on exit +cleanup() { + if [ ! -z "$SERVER_PID" ]; then + echo -e "\n${YELLOW}Stopping FastAPI server (PID: $SERVER_PID)...${NC}" + kill $SERVER_PID 2>/dev/null || true + wait $SERVER_PID 2>/dev/null || true + fi +} + +# Set trap to cleanup on exit +trap cleanup EXIT INT TERM + +# Change to backend directory +cd "$BACKEND_DIR" + +# Check if uv is installed +if ! command -v uv &> /dev/null; then + echo -e "${YELLOW}uv not found, checking for python...${NC}" + if command -v python3 &> /dev/null; then + PYTHON_CMD="python3" + elif command -v python &> /dev/null; then + PYTHON_CMD="python" + else + echo -e "${RED}Error: Neither uv nor python found${NC}" + exit 1 + fi + RUN_CMD="$PYTHON_CMD -m" +else + RUN_CMD="uv run -m" +fi + +# Start the FastAPI server in the background (let it use default port 1250) +echo -e "${YELLOW}Starting FastAPI server...${NC}" +$RUN_CMD reflector.app > /dev/null 2>&1 & +SERVER_PID=$! + +# Wait for server to be ready +echo -n "Waiting for server to be ready" +WAITED=0 +while [ $WAITED -lt $MAX_WAIT ]; do + if [ "$(check_server)" = "200" ]; then + echo -e " ${GREEN}✓${NC}" + break + fi + echo -n "." + sleep 1 + WAITED=$((WAITED + 1)) +done + +if [ $WAITED -ge $MAX_WAIT ]; then + echo -e " ${RED}✗${NC}" + echo -e "${RED}Error: Server failed to start within ${MAX_WAIT} seconds${NC}" + exit 1 +fi + +# Change back to docs directory +cd - > /dev/null + +# Create static directory if it doesn't exist +mkdir -p "$(dirname "$OPENAPI_OUTPUT")" + +# Fetch the OpenAPI specification +echo -e "${YELLOW}Fetching OpenAPI specification...${NC}" +if curl -s "http://localhost:${SERVER_PORT}/openapi.json" -o "$OPENAPI_OUTPUT"; then + echo -e "${GREEN}✓ OpenAPI specification saved to $OPENAPI_OUTPUT${NC}" + + # Validate JSON + if command -v jq &> /dev/null; then + if jq empty "$OPENAPI_OUTPUT" 2>/dev/null; then + echo -e "${GREEN}✓ OpenAPI specification is valid JSON${NC}" + # Pretty print the JSON + jq . "$OPENAPI_OUTPUT" > "${OPENAPI_OUTPUT}.tmp" && mv "${OPENAPI_OUTPUT}.tmp" "$OPENAPI_OUTPUT" + else + echo -e "${RED}Error: Invalid JSON in OpenAPI specification${NC}" + exit 1 + fi + fi +else + echo -e "${RED}Error: Failed to fetch OpenAPI specification${NC}" + exit 1 +fi + +echo -e "${GREEN}✅ OpenAPI specification successfully fetched!${NC}" \ No newline at end of file diff --git a/docs/sidebars.ts b/docs/sidebars.ts new file mode 100644 index 00000000..ba9e8e4f --- /dev/null +++ b/docs/sidebars.ts @@ -0,0 +1,95 @@ +import type {SidebarsConfig} from '@docusaurus/plugin-content-docs'; + +const sidebars: SidebarsConfig = { + tutorialSidebar: [ + 'intro', + { + type: 'category', + label: 'Concepts', + collapsed: false, + items: [ + 'concepts/overview', + 'concepts/modes', + 'concepts/pipeline', + ], + }, + { + type: 'category', + label: 'Installation', + collapsed: false, + items: [ + 'installation/overview', + 'installation/requirements', + 'installation/docker-setup', + 'installation/modal-setup', + 'installation/self-hosted-gpu-setup', + 'installation/auth-setup', + 'installation/daily-setup', + { + type: 'category', + label: 'Other Integrations', + collapsed: true, + items: [ + 'installation/whereby-setup', + 'installation/zulip-setup', + ], + }, + ], + }, + { + type: 'category', + label: 'Pipelines', + items: [ + 'pipelines/overview', + 'pipelines/file-pipeline', + 'pipelines/live-pipeline', + ], + }, + { + type: 'category', + label: 'Reference', + items: [ + { + type: 'category', + label: 'Architecture', + items: [ + 'reference/architecture/overview', + 'reference/architecture/backend', + 'reference/architecture/frontend', + 'reference/architecture/workers', + 'reference/architecture/database', + ], + }, + { + type: 'category', + label: 'Processors', + items: [ + 'reference/processors/transcription', + 'reference/processors/diarization', + 'reference/processors/translation', + 'reference/processors/analysis', + ], + }, + { + type: 'category', + label: 'API', + items: [ + { + type: 'doc', + id: 'reference/api/overview', + }, + { + type: 'link', + label: 'OpenAPI Reference', + href: '/docs/reference/api', + }, + ], + }, + 'reference/configuration', + ], + }, + 'roadmap', + ], +}; + +export default sidebars; \ No newline at end of file diff --git a/docs/src/components/HomepageFeatures/index.tsx b/docs/src/components/HomepageFeatures/index.tsx new file mode 100644 index 00000000..50a9e6f4 --- /dev/null +++ b/docs/src/components/HomepageFeatures/index.tsx @@ -0,0 +1,70 @@ +import clsx from 'clsx'; +import Heading from '@theme/Heading'; +import styles from './styles.module.css'; + +type FeatureItem = { + title: string; + Svg: React.ComponentType>; + description: JSX.Element; +}; + +const FeatureList: FeatureItem[] = [ + { + title: 'Easy to Use', + Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default, + description: ( + <> + Docusaurus was designed from the ground up to be easily installed and + used to get your website up and running quickly. + + ), + }, + { + title: 'Focus on What Matters', + Svg: require('@site/static/img/undraw_docusaurus_tree.svg').default, + description: ( + <> + Docusaurus lets you focus on your docs, and we'll do the chores. Go + ahead and move your docs into the docs directory. + + ), + }, + { + title: 'Powered by React', + Svg: require('@site/static/img/undraw_docusaurus_react.svg').default, + description: ( + <> + Extend or customize your website layout by reusing React. Docusaurus can + be extended while reusing the same header and footer. + + ), + }, +]; + +function Feature({title, Svg, description}: FeatureItem) { + return ( +
+
+ +
+
+ {title} +

{description}

+
+
+ ); +} + +export default function HomepageFeatures(): JSX.Element { + return ( +
+
+
+ {FeatureList.map((props, idx) => ( + + ))} +
+
+
+ ); +} diff --git a/docs/src/components/HomepageFeatures/styles.module.css b/docs/src/components/HomepageFeatures/styles.module.css new file mode 100644 index 00000000..b248eb2e --- /dev/null +++ b/docs/src/components/HomepageFeatures/styles.module.css @@ -0,0 +1,11 @@ +.features { + display: flex; + align-items: center; + padding: 2rem 0; + width: 100%; +} + +.featureSvg { + height: 200px; + width: 200px; +} diff --git a/docs/src/css/custom.css b/docs/src/css/custom.css new file mode 100644 index 00000000..9eec105c --- /dev/null +++ b/docs/src/css/custom.css @@ -0,0 +1,46 @@ +/** + * Reflector Documentation Theme + * Based on frontend colors from www/app/styles/theme.ts + */ + +@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&display=swap'); + +:root { + --ifm-color-primary: #3158E2; + --ifm-color-primary-dark: #2847C9; + --ifm-color-primary-darker: #2442BF; + --ifm-color-primary-darkest: #1D369C; + --ifm-color-primary-light: #4A6FE5; + --ifm-color-primary-lighter: #5F81E8; + --ifm-color-primary-lightest: #8DA6F0; + + --ifm-background-color: #FFFFFF; + --ifm-background-surface-color: #F4F4F4; + --ifm-font-color-base: #1A202C; + --ifm-font-color-secondary: #838383; + + --ifm-code-font-size: 95%; + --docusaurus-highlighted-code-line-bg: rgba(49, 88, 226, 0.1); + + --ifm-font-family-base: 'Poppins', system-ui, -apple-system, sans-serif; + --ifm-font-family-monospace: 'Fira Code', 'Monaco', 'Consolas', monospace; + --ifm-navbar-background-color: #FFFFFF; + --ifm-heading-font-weight: 600; +} + +[data-theme='dark'] { + --ifm-color-primary: #B1CBFF; + --ifm-color-primary-dark: #91B3FF; + --ifm-color-primary-darker: #81A7FF; + --ifm-color-primary-darkest: #5189FF; + --ifm-color-primary-light: #D1DFFF; + --ifm-color-primary-lighter: #E1EBFF; + --ifm-color-primary-lightest: #F0F5FF; + + --ifm-background-color: #0C0D0E; + --ifm-background-surface-color: #1A202C; + --ifm-font-color-base: #E2E8F0; + --ifm-font-color-secondary: #A0AEC0; + --docusaurus-highlighted-code-line-bg: rgba(177, 203, 255, 0.1); + --ifm-navbar-background-color: #1A202C; +} diff --git a/docs/src/pages/index.module.css b/docs/src/pages/index.module.css new file mode 100644 index 00000000..9f71a5da --- /dev/null +++ b/docs/src/pages/index.module.css @@ -0,0 +1,23 @@ +/** + * CSS files with the .module.css suffix will be treated as CSS modules + * and scoped locally. + */ + +.heroBanner { + padding: 4rem 0; + text-align: center; + position: relative; + overflow: hidden; +} + +@media screen and (max-width: 996px) { + .heroBanner { + padding: 2rem; + } +} + +.buttons { + display: flex; + align-items: center; + justify-content: center; +} diff --git a/docs/src/pages/index.tsx b/docs/src/pages/index.tsx new file mode 100644 index 00000000..617865a3 --- /dev/null +++ b/docs/src/pages/index.tsx @@ -0,0 +1,7 @@ +import React from 'react'; +import { Redirect } from '@docusaurus/router'; +import useBaseUrl from '@docusaurus/useBaseUrl'; + +export default function Home(): JSX.Element { + return ; +} \ No newline at end of file diff --git a/docs/src/pages/markdown-page.md b/docs/src/pages/markdown-page.md new file mode 100644 index 00000000..9756c5b6 --- /dev/null +++ b/docs/src/pages/markdown-page.md @@ -0,0 +1,7 @@ +--- +title: Markdown page example +--- + +# Markdown page example + +You don't need React to write simple standalone pages. diff --git a/docs/static/.nojekyll b/docs/static/.nojekyll new file mode 100644 index 00000000..e69de29b diff --git a/docs/static/img/docusaurus-social-card.jpg b/docs/static/img/docusaurus-social-card.jpg new file mode 100644 index 00000000..e69de29b diff --git a/docs/static/img/docusaurus.png b/docs/static/img/docusaurus.png new file mode 100644 index 00000000..e69de29b diff --git a/docs/static/img/favicon.ico b/docs/static/img/favicon.ico new file mode 100644 index 00000000..e69de29b diff --git a/docs/static/img/logo.svg b/docs/static/img/logo.svg new file mode 100644 index 00000000..953738af --- /dev/null +++ b/docs/static/img/logo.svg @@ -0,0 +1,17 @@ + + + + + + + + + + + + + diff --git a/docs/static/img/reflector-logo.svg b/docs/static/img/reflector-logo.svg new file mode 100644 index 00000000..953738af --- /dev/null +++ b/docs/static/img/reflector-logo.svg @@ -0,0 +1,17 @@ + + + + + + + + + + + + + diff --git a/docs/static/img/reflector-transcript-view.png b/docs/static/img/reflector-transcript-view.png new file mode 100644 index 00000000..0ed78823 Binary files /dev/null and b/docs/static/img/reflector-transcript-view.png differ diff --git a/docs/static/img/undraw_docusaurus_mountain.svg b/docs/static/img/undraw_docusaurus_mountain.svg new file mode 100644 index 00000000..af961c49 --- /dev/null +++ b/docs/static/img/undraw_docusaurus_mountain.svg @@ -0,0 +1,171 @@ + + Easy to Use + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/static/img/undraw_docusaurus_react.svg b/docs/static/img/undraw_docusaurus_react.svg new file mode 100644 index 00000000..94b5cf08 --- /dev/null +++ b/docs/static/img/undraw_docusaurus_react.svg @@ -0,0 +1,170 @@ + + Powered by React + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/static/img/undraw_docusaurus_tree.svg b/docs/static/img/undraw_docusaurus_tree.svg new file mode 100644 index 00000000..d9161d33 --- /dev/null +++ b/docs/static/img/undraw_docusaurus_tree.svg @@ -0,0 +1,40 @@ + + Focus on What Matters + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/static/openapi.json b/docs/static/openapi.json new file mode 100644 index 00000000..2e06486e --- /dev/null +++ b/docs/static/openapi.json @@ -0,0 +1,3456 @@ +{ + "openapi": "3.1.0", + "info": { + "title": "FastAPI", + "version": "0.1.0" + }, + "paths": { + "/metrics": { + "get": { + "summary": "Metrics", + "description": "Endpoint that serves Prometheus metrics.", + "operationId": "metrics", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + } + } + } + }, + "/v1/meetings/{meeting_id}/consent": { + "post": { + "summary": "Meeting Audio Consent", + "operationId": "v1_meeting_audio_consent", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "meeting_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Meeting Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/MeetingConsentRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/rooms": { + "get": { + "summary": "Rooms List", + "operationId": "v1_rooms_list", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "page", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 1, + "description": "Page number", + "default": 1, + "title": "Page" + }, + "description": "Page number" + }, + { + "name": "size", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Page size", + "default": 50, + "title": "Size" + }, + "description": "Page size" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Page_Room_" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "post": { + "summary": "Rooms Create", + "operationId": "v1_rooms_create", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateRoom" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Room" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/rooms/{room_id}": { + "patch": { + "summary": "Rooms Update", + "operationId": "v1_rooms_update", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "room_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Room Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UpdateRoom" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Room" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "delete": { + "summary": "Rooms Delete", + "operationId": "v1_rooms_delete", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "room_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Room Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DeletionStatus" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/rooms/{room_name}/meeting": { + "post": { + "summary": "Rooms Create Meeting", + "operationId": "v1_rooms_create_meeting", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "room_name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Room Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Meeting" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts": { + "get": { + "summary": "Transcripts List", + "operationId": "v1_transcripts_list", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "source_kind", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "$ref": "#/components/schemas/SourceKind" + }, + { + "type": "null" + } + ], + "title": "Source Kind" + } + }, + { + "name": "room_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Room Id" + } + }, + { + "name": "search_term", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Search Term" + } + }, + { + "name": "page", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 1, + "description": "Page number", + "default": 1, + "title": "Page" + }, + "description": "Page number" + }, + { + "name": "size", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Page size", + "default": 50, + "title": "Size" + }, + "description": "Page size" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Page_GetTranscriptMinimal_" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "post": { + "summary": "Transcripts Create", + "operationId": "v1_transcripts_create", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateTranscript" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GetTranscript" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/search": { + "get": { + "summary": "Transcripts Search", + "description": "Full-text search across transcript titles and content.", + "operationId": "v1_transcripts_search", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "q", + "in": "query", + "required": true, + "schema": { + "type": "string", + "minLength": 1, + "description": "Search query text", + "title": "Q" + }, + "description": "Search query text" + }, + { + "name": "limit", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Results per page", + "default": 20, + "title": "Limit" + }, + "description": "Results per page" + }, + { + "name": "offset", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 0, + "description": "Number of results to skip", + "default": 0, + "title": "Offset" + }, + "description": "Number of results to skip" + }, + { + "name": "room_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Room Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SearchResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}": { + "get": { + "summary": "Transcript Get", + "operationId": "v1_transcript_get", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GetTranscript" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "patch": { + "summary": "Transcript Update", + "operationId": "v1_transcript_update", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UpdateTranscript" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GetTranscript" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "delete": { + "summary": "Transcript Delete", + "operationId": "v1_transcript_delete", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DeletionStatus" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/topics": { + "get": { + "summary": "Transcript Get Topics", + "operationId": "v1_transcript_get_topics", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GetTranscriptTopic" + }, + "title": "Response Transcript Get Topics V1 Transcripts Transcript Id Topics Get" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/topics/with-words": { + "get": { + "summary": "Transcript Get Topics With Words", + "operationId": "v1_transcript_get_topics_with_words", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GetTranscriptTopicWithWords" + }, + "title": "Response Transcript Get Topics With Words V1 Transcripts Transcript Id Topics With Words Get" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/topics/{topic_id}/words-per-speaker": { + "get": { + "summary": "Transcript Get Topics With Words Per Speaker", + "operationId": "v1_transcript_get_topics_with_words_per_speaker", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + }, + { + "name": "topic_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Topic Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GetTranscriptTopicWithWordsPerSpeaker" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/zulip": { + "post": { + "summary": "Transcript Post To Zulip", + "operationId": "v1_transcript_post_to_zulip", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + }, + { + "name": "stream", + "in": "query", + "required": true, + "schema": { + "type": "string", + "title": "Stream" + } + }, + { + "name": "topic", + "in": "query", + "required": true, + "schema": { + "type": "string", + "title": "Topic" + } + }, + { + "name": "include_topics", + "in": "query", + "required": true, + "schema": { + "type": "boolean", + "title": "Include Topics" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/audio/mp3": { + "head": { + "summary": "Transcript Get Audio Mp3", + "operationId": "v1_transcript_head_audio_mp3", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + }, + { + "name": "token", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Token" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "get": { + "summary": "Transcript Get Audio Mp3", + "operationId": "v1_transcript_get_audio_mp3", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + }, + { + "name": "token", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Token" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/audio/waveform": { + "get": { + "summary": "Transcript Get Audio Waveform", + "operationId": "v1_transcript_get_audio_waveform", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AudioWaveform" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/participants": { + "get": { + "summary": "Transcript Get Participants", + "operationId": "v1_transcript_get_participants", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Participant" + }, + "title": "Response Transcript Get Participants V1 Transcripts Transcript Id Participants Get" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "post": { + "summary": "Transcript Add Participant", + "operationId": "v1_transcript_add_participant", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateParticipant" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Participant" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/participants/{participant_id}": { + "get": { + "summary": "Transcript Get Participant", + "operationId": "v1_transcript_get_participant", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + }, + { + "name": "participant_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Participant Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Participant" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "patch": { + "summary": "Transcript Update Participant", + "operationId": "v1_transcript_update_participant", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + }, + { + "name": "participant_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Participant Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UpdateParticipant" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Participant" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "delete": { + "summary": "Transcript Delete Participant", + "operationId": "v1_transcript_delete_participant", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + }, + { + "name": "participant_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Participant Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DeletionStatus" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/speaker/assign": { + "patch": { + "summary": "Transcript Assign Speaker", + "operationId": "v1_transcript_assign_speaker", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SpeakerAssignment" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SpeakerAssignmentStatus" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/speaker/merge": { + "patch": { + "summary": "Transcript Merge Speaker", + "operationId": "v1_transcript_merge_speaker", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SpeakerMerge" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SpeakerAssignmentStatus" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/record/upload": { + "post": { + "summary": "Transcript Record Upload", + "operationId": "v1_transcript_record_upload", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + }, + { + "name": "chunk_number", + "in": "query", + "required": true, + "schema": { + "type": "integer", + "title": "Chunk Number" + } + }, + { + "name": "total_chunks", + "in": "query", + "required": true, + "schema": { + "type": "integer", + "title": "Total Chunks" + } + } + ], + "requestBody": { + "required": true, + "content": { + "multipart/form-data": { + "schema": { + "$ref": "#/components/schemas/Body_transcript_record_upload_v1_transcripts__transcript_id__record_upload_post" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/events": { + "get": { + "summary": "Transcript Get Websocket Events", + "operationId": "v1_transcript_get_websocket_events", + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/record/webrtc": { + "post": { + "summary": "Transcript Record Webrtc", + "operationId": "v1_transcript_record_webrtc", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RtcOffer" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/transcripts/{transcript_id}/process": { + "post": { + "summary": "Transcript Process", + "operationId": "v1_transcript_process", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "transcript_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Transcript Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/me": { + "get": { + "summary": "User Me", + "operationId": "v1_user_me", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "anyOf": [ + { + "$ref": "#/components/schemas/UserInfo" + }, + { + "type": "null" + } + ], + "title": "Response User Me V1 Me Get" + } + } + } + } + }, + "security": [ + { + "OAuth2PasswordBearer": [] + } + ] + } + }, + "/v1/zulip/streams": { + "get": { + "summary": "Zulip Get Streams", + "description": "Get all Zulip streams.", + "operationId": "v1_zulip_get_streams", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/Stream" + }, + "type": "array", + "title": "Response Zulip Get Streams V1 Zulip Streams Get" + } + } + } + } + }, + "security": [ + { + "OAuth2PasswordBearer": [] + } + ] + } + }, + "/v1/zulip/streams/{stream_id}/topics": { + "get": { + "summary": "Zulip Get Topics", + "description": "Get all topics for a specific Zulip stream.", + "operationId": "v1_zulip_get_topics", + "security": [ + { + "OAuth2PasswordBearer": [] + } + ], + "parameters": [ + { + "name": "stream_id", + "in": "path", + "required": true, + "schema": { + "type": "integer", + "title": "Stream Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Topic" + }, + "title": "Response Zulip Get Topics V1 Zulip Streams Stream Id Topics Get" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/v1/whereby": { + "post": { + "summary": "Whereby Webhook", + "operationId": "v1_whereby_webhook", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/WherebyWebhookEvent" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + } + }, + "components": { + "schemas": { + "AudioWaveform": { + "properties": { + "data": { + "items": { + "type": "number" + }, + "type": "array", + "title": "Data" + } + }, + "type": "object", + "required": [ + "data" + ], + "title": "AudioWaveform" + }, + "Body_transcript_record_upload_v1_transcripts__transcript_id__record_upload_post": { + "properties": { + "chunk": { + "type": "string", + "format": "binary", + "title": "Chunk" + } + }, + "type": "object", + "required": [ + "chunk" + ], + "title": "Body_transcript_record_upload_v1_transcripts__transcript_id__record_upload_post" + }, + "CreateParticipant": { + "properties": { + "speaker": { + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "title": "Speaker" + }, + "name": { + "type": "string", + "title": "Name" + } + }, + "type": "object", + "required": [ + "name" + ], + "title": "CreateParticipant" + }, + "CreateRoom": { + "properties": { + "name": { + "type": "string", + "title": "Name" + }, + "zulip_auto_post": { + "type": "boolean", + "title": "Zulip Auto Post" + }, + "zulip_stream": { + "type": "string", + "title": "Zulip Stream" + }, + "zulip_topic": { + "type": "string", + "title": "Zulip Topic" + }, + "is_locked": { + "type": "boolean", + "title": "Is Locked" + }, + "room_mode": { + "type": "string", + "title": "Room Mode" + }, + "recording_type": { + "type": "string", + "title": "Recording Type" + }, + "recording_trigger": { + "type": "string", + "title": "Recording Trigger" + }, + "is_shared": { + "type": "boolean", + "title": "Is Shared" + } + }, + "type": "object", + "required": [ + "name", + "zulip_auto_post", + "zulip_stream", + "zulip_topic", + "is_locked", + "room_mode", + "recording_type", + "recording_trigger", + "is_shared" + ], + "title": "CreateRoom" + }, + "CreateTranscript": { + "properties": { + "name": { + "type": "string", + "title": "Name" + }, + "source_language": { + "type": "string", + "title": "Source Language", + "default": "en" + }, + "target_language": { + "type": "string", + "title": "Target Language", + "default": "en" + } + }, + "type": "object", + "required": [ + "name" + ], + "title": "CreateTranscript" + }, + "DeletionStatus": { + "properties": { + "status": { + "type": "string", + "title": "Status" + } + }, + "type": "object", + "required": [ + "status" + ], + "title": "DeletionStatus" + }, + "GetTranscript": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "user_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "User Id" + }, + "name": { + "type": "string", + "title": "Name" + }, + "status": { + "type": "string", + "title": "Status" + }, + "locked": { + "type": "boolean", + "title": "Locked" + }, + "duration": { + "type": "number", + "title": "Duration" + }, + "title": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Title" + }, + "short_summary": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Short Summary" + }, + "long_summary": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Long Summary" + }, + "created_at": { + "type": "string", + "title": "Created At" + }, + "share_mode": { + "type": "string", + "title": "Share Mode", + "default": "private" + }, + "source_language": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Source Language" + }, + "target_language": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Target Language" + }, + "reviewed": { + "type": "boolean", + "title": "Reviewed" + }, + "meeting_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Meeting Id" + }, + "source_kind": { + "$ref": "#/components/schemas/SourceKind" + }, + "room_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Room Id" + }, + "room_name": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Room Name" + }, + "audio_deleted": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "title": "Audio Deleted" + }, + "participants": { + "anyOf": [ + { + "items": { + "$ref": "#/components/schemas/TranscriptParticipant" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Participants" + } + }, + "type": "object", + "required": [ + "id", + "user_id", + "name", + "status", + "locked", + "duration", + "title", + "short_summary", + "long_summary", + "created_at", + "source_language", + "target_language", + "reviewed", + "meeting_id", + "source_kind", + "participants" + ], + "title": "GetTranscript" + }, + "GetTranscriptMinimal": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "user_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "User Id" + }, + "name": { + "type": "string", + "title": "Name" + }, + "status": { + "type": "string", + "title": "Status" + }, + "locked": { + "type": "boolean", + "title": "Locked" + }, + "duration": { + "type": "number", + "title": "Duration" + }, + "title": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Title" + }, + "short_summary": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Short Summary" + }, + "long_summary": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Long Summary" + }, + "created_at": { + "type": "string", + "title": "Created At" + }, + "share_mode": { + "type": "string", + "title": "Share Mode", + "default": "private" + }, + "source_language": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Source Language" + }, + "target_language": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Target Language" + }, + "reviewed": { + "type": "boolean", + "title": "Reviewed" + }, + "meeting_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Meeting Id" + }, + "source_kind": { + "$ref": "#/components/schemas/SourceKind" + }, + "room_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Room Id" + }, + "room_name": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Room Name" + }, + "audio_deleted": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "title": "Audio Deleted" + } + }, + "type": "object", + "required": [ + "id", + "user_id", + "name", + "status", + "locked", + "duration", + "title", + "short_summary", + "long_summary", + "created_at", + "source_language", + "target_language", + "reviewed", + "meeting_id", + "source_kind" + ], + "title": "GetTranscriptMinimal" + }, + "GetTranscriptSegmentTopic": { + "properties": { + "text": { + "type": "string", + "title": "Text" + }, + "start": { + "type": "number", + "title": "Start" + }, + "speaker": { + "type": "integer", + "title": "Speaker" + } + }, + "type": "object", + "required": [ + "text", + "start", + "speaker" + ], + "title": "GetTranscriptSegmentTopic" + }, + "GetTranscriptTopic": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "title": { + "type": "string", + "title": "Title" + }, + "summary": { + "type": "string", + "title": "Summary" + }, + "timestamp": { + "type": "number", + "title": "Timestamp" + }, + "duration": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Duration" + }, + "transcript": { + "type": "string", + "title": "Transcript" + }, + "segments": { + "items": { + "$ref": "#/components/schemas/GetTranscriptSegmentTopic" + }, + "type": "array", + "title": "Segments", + "default": [] + } + }, + "type": "object", + "required": [ + "id", + "title", + "summary", + "timestamp", + "duration", + "transcript" + ], + "title": "GetTranscriptTopic" + }, + "GetTranscriptTopicWithWords": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "title": { + "type": "string", + "title": "Title" + }, + "summary": { + "type": "string", + "title": "Summary" + }, + "timestamp": { + "type": "number", + "title": "Timestamp" + }, + "duration": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Duration" + }, + "transcript": { + "type": "string", + "title": "Transcript" + }, + "segments": { + "items": { + "$ref": "#/components/schemas/GetTranscriptSegmentTopic" + }, + "type": "array", + "title": "Segments", + "default": [] + }, + "words": { + "items": { + "$ref": "#/components/schemas/Word" + }, + "type": "array", + "title": "Words", + "default": [] + } + }, + "type": "object", + "required": [ + "id", + "title", + "summary", + "timestamp", + "duration", + "transcript" + ], + "title": "GetTranscriptTopicWithWords" + }, + "GetTranscriptTopicWithWordsPerSpeaker": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "title": { + "type": "string", + "title": "Title" + }, + "summary": { + "type": "string", + "title": "Summary" + }, + "timestamp": { + "type": "number", + "title": "Timestamp" + }, + "duration": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Duration" + }, + "transcript": { + "type": "string", + "title": "Transcript" + }, + "segments": { + "items": { + "$ref": "#/components/schemas/GetTranscriptSegmentTopic" + }, + "type": "array", + "title": "Segments", + "default": [] + }, + "words_per_speaker": { + "items": { + "$ref": "#/components/schemas/SpeakerWords" + }, + "type": "array", + "title": "Words Per Speaker", + "default": [] + } + }, + "type": "object", + "required": [ + "id", + "title", + "summary", + "timestamp", + "duration", + "transcript" + ], + "title": "GetTranscriptTopicWithWordsPerSpeaker" + }, + "HTTPValidationError": { + "properties": { + "detail": { + "items": { + "$ref": "#/components/schemas/ValidationError" + }, + "type": "array", + "title": "Detail" + } + }, + "type": "object", + "title": "HTTPValidationError" + }, + "Meeting": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "room_name": { + "type": "string", + "title": "Room Name" + }, + "room_url": { + "type": "string", + "title": "Room Url" + }, + "host_room_url": { + "type": "string", + "title": "Host Room Url" + }, + "start_date": { + "type": "string", + "format": "date-time", + "title": "Start Date" + }, + "end_date": { + "type": "string", + "format": "date-time", + "title": "End Date" + }, + "recording_type": { + "type": "string", + "enum": [ + "none", + "local", + "cloud" + ], + "title": "Recording Type", + "default": "cloud" + } + }, + "type": "object", + "required": [ + "id", + "room_name", + "room_url", + "host_room_url", + "start_date", + "end_date" + ], + "title": "Meeting" + }, + "MeetingConsentRequest": { + "properties": { + "consent_given": { + "type": "boolean", + "title": "Consent Given" + } + }, + "type": "object", + "required": [ + "consent_given" + ], + "title": "MeetingConsentRequest" + }, + "Page_GetTranscriptMinimal_": { + "properties": { + "items": { + "items": { + "$ref": "#/components/schemas/GetTranscriptMinimal" + }, + "type": "array", + "title": "Items" + }, + "total": { + "anyOf": [ + { + "type": "integer", + "minimum": 0.0 + }, + { + "type": "null" + } + ], + "title": "Total" + }, + "page": { + "anyOf": [ + { + "type": "integer", + "minimum": 1.0 + }, + { + "type": "null" + } + ], + "title": "Page" + }, + "size": { + "anyOf": [ + { + "type": "integer", + "minimum": 1.0 + }, + { + "type": "null" + } + ], + "title": "Size" + }, + "pages": { + "anyOf": [ + { + "type": "integer", + "minimum": 0.0 + }, + { + "type": "null" + } + ], + "title": "Pages" + } + }, + "type": "object", + "required": [ + "items", + "page", + "size" + ], + "title": "Page[GetTranscriptMinimal]" + }, + "Page_Room_": { + "properties": { + "items": { + "items": { + "$ref": "#/components/schemas/Room" + }, + "type": "array", + "title": "Items" + }, + "total": { + "anyOf": [ + { + "type": "integer", + "minimum": 0.0 + }, + { + "type": "null" + } + ], + "title": "Total" + }, + "page": { + "anyOf": [ + { + "type": "integer", + "minimum": 1.0 + }, + { + "type": "null" + } + ], + "title": "Page" + }, + "size": { + "anyOf": [ + { + "type": "integer", + "minimum": 1.0 + }, + { + "type": "null" + } + ], + "title": "Size" + }, + "pages": { + "anyOf": [ + { + "type": "integer", + "minimum": 0.0 + }, + { + "type": "null" + } + ], + "title": "Pages" + } + }, + "type": "object", + "required": [ + "items", + "page", + "size" + ], + "title": "Page[Room]" + }, + "Participant": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "speaker": { + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "title": "Speaker" + }, + "name": { + "type": "string", + "title": "Name" + } + }, + "type": "object", + "required": [ + "id", + "speaker", + "name" + ], + "title": "Participant" + }, + "Room": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "name": { + "type": "string", + "title": "Name" + }, + "user_id": { + "type": "string", + "title": "User Id" + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + }, + "zulip_auto_post": { + "type": "boolean", + "title": "Zulip Auto Post" + }, + "zulip_stream": { + "type": "string", + "title": "Zulip Stream" + }, + "zulip_topic": { + "type": "string", + "title": "Zulip Topic" + }, + "is_locked": { + "type": "boolean", + "title": "Is Locked" + }, + "room_mode": { + "type": "string", + "title": "Room Mode" + }, + "recording_type": { + "type": "string", + "title": "Recording Type" + }, + "recording_trigger": { + "type": "string", + "title": "Recording Trigger" + }, + "is_shared": { + "type": "boolean", + "title": "Is Shared" + } + }, + "type": "object", + "required": [ + "id", + "name", + "user_id", + "created_at", + "zulip_auto_post", + "zulip_stream", + "zulip_topic", + "is_locked", + "room_mode", + "recording_type", + "recording_trigger", + "is_shared" + ], + "title": "Room" + }, + "RtcOffer": { + "properties": { + "sdp": { + "type": "string", + "title": "Sdp" + }, + "type": { + "type": "string", + "title": "Type" + } + }, + "type": "object", + "required": [ + "sdp", + "type" + ], + "title": "RtcOffer" + }, + "SearchResponse": { + "properties": { + "results": { + "items": { + "$ref": "#/components/schemas/SearchResult" + }, + "type": "array", + "title": "Results" + }, + "total": { + "type": "integer", + "minimum": 0.0, + "title": "Total", + "description": "Total number of search results" + }, + "query": { + "type": "string", + "minLength": 1, + "title": "Query", + "description": "Search query text" + }, + "limit": { + "type": "integer", + "maximum": 100.0, + "minimum": 1.0, + "title": "Limit", + "description": "Results per page" + }, + "offset": { + "type": "integer", + "minimum": 0.0, + "title": "Offset", + "description": "Number of results to skip" + } + }, + "type": "object", + "required": [ + "results", + "total", + "query", + "limit", + "offset" + ], + "title": "SearchResponse" + }, + "SearchResult": { + "properties": { + "id": { + "type": "string", + "minLength": 1, + "title": "Id" + }, + "title": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Title" + }, + "user_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "User Id" + }, + "room_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Room Id" + }, + "created_at": { + "type": "string", + "title": "Created At" + }, + "status": { + "type": "string", + "minLength": 1, + "title": "Status" + }, + "rank": { + "type": "number", + "maximum": 1.0, + "minimum": 0.0, + "title": "Rank" + }, + "duration": { + "anyOf": [ + { + "type": "number", + "minimum": 0.0 + }, + { + "type": "null" + } + ], + "title": "Duration", + "description": "Duration in seconds" + }, + "search_snippets": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Search Snippets", + "description": "Text snippets around search matches" + } + }, + "type": "object", + "required": [ + "id", + "created_at", + "status", + "rank", + "duration", + "search_snippets" + ], + "title": "SearchResult", + "description": "Public search result model with computed fields." + }, + "SourceKind": { + "type": "string", + "enum": [ + "room", + "live", + "file" + ], + "title": "SourceKind" + }, + "SpeakerAssignment": { + "properties": { + "speaker": { + "anyOf": [ + { + "type": "integer", + "minimum": 0.0 + }, + { + "type": "null" + } + ], + "title": "Speaker" + }, + "participant": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Participant" + }, + "timestamp_from": { + "type": "number", + "title": "Timestamp From" + }, + "timestamp_to": { + "type": "number", + "title": "Timestamp To" + } + }, + "type": "object", + "required": [ + "timestamp_from", + "timestamp_to" + ], + "title": "SpeakerAssignment" + }, + "SpeakerAssignmentStatus": { + "properties": { + "status": { + "type": "string", + "title": "Status" + } + }, + "type": "object", + "required": [ + "status" + ], + "title": "SpeakerAssignmentStatus" + }, + "SpeakerMerge": { + "properties": { + "speaker_from": { + "type": "integer", + "title": "Speaker From" + }, + "speaker_to": { + "type": "integer", + "title": "Speaker To" + } + }, + "type": "object", + "required": [ + "speaker_from", + "speaker_to" + ], + "title": "SpeakerMerge" + }, + "SpeakerWords": { + "properties": { + "speaker": { + "type": "integer", + "title": "Speaker" + }, + "words": { + "items": { + "$ref": "#/components/schemas/Word" + }, + "type": "array", + "title": "Words" + } + }, + "type": "object", + "required": [ + "speaker", + "words" + ], + "title": "SpeakerWords" + }, + "Stream": { + "properties": { + "stream_id": { + "type": "integer", + "title": "Stream Id" + }, + "name": { + "type": "string", + "title": "Name" + } + }, + "type": "object", + "required": [ + "stream_id", + "name" + ], + "title": "Stream" + }, + "Topic": { + "properties": { + "name": { + "type": "string", + "title": "Name" + } + }, + "type": "object", + "required": [ + "name" + ], + "title": "Topic" + }, + "TranscriptParticipant": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "speaker": { + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "title": "Speaker" + }, + "name": { + "type": "string", + "title": "Name" + } + }, + "type": "object", + "required": [ + "speaker", + "name" + ], + "title": "TranscriptParticipant" + }, + "UpdateParticipant": { + "properties": { + "speaker": { + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "title": "Speaker" + }, + "name": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Name" + } + }, + "type": "object", + "title": "UpdateParticipant" + }, + "UpdateRoom": { + "properties": { + "name": { + "type": "string", + "title": "Name" + }, + "zulip_auto_post": { + "type": "boolean", + "title": "Zulip Auto Post" + }, + "zulip_stream": { + "type": "string", + "title": "Zulip Stream" + }, + "zulip_topic": { + "type": "string", + "title": "Zulip Topic" + }, + "is_locked": { + "type": "boolean", + "title": "Is Locked" + }, + "room_mode": { + "type": "string", + "title": "Room Mode" + }, + "recording_type": { + "type": "string", + "title": "Recording Type" + }, + "recording_trigger": { + "type": "string", + "title": "Recording Trigger" + }, + "is_shared": { + "type": "boolean", + "title": "Is Shared" + } + }, + "type": "object", + "required": [ + "name", + "zulip_auto_post", + "zulip_stream", + "zulip_topic", + "is_locked", + "room_mode", + "recording_type", + "recording_trigger", + "is_shared" + ], + "title": "UpdateRoom" + }, + "UpdateTranscript": { + "properties": { + "name": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Name" + }, + "locked": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "title": "Locked" + }, + "title": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Title" + }, + "short_summary": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Short Summary" + }, + "long_summary": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Long Summary" + }, + "share_mode": { + "anyOf": [ + { + "type": "string", + "enum": [ + "public", + "semi-private", + "private" + ] + }, + { + "type": "null" + } + ], + "title": "Share Mode" + }, + "participants": { + "anyOf": [ + { + "items": { + "$ref": "#/components/schemas/TranscriptParticipant" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Participants" + }, + "reviewed": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "title": "Reviewed" + }, + "audio_deleted": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "title": "Audio Deleted" + } + }, + "type": "object", + "title": "UpdateTranscript" + }, + "UserInfo": { + "properties": { + "sub": { + "type": "string", + "title": "Sub" + }, + "email": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Email" + }, + "email_verified": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "title": "Email Verified" + } + }, + "type": "object", + "required": [ + "sub", + "email", + "email_verified" + ], + "title": "UserInfo" + }, + "ValidationError": { + "properties": { + "loc": { + "items": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ] + }, + "type": "array", + "title": "Location" + }, + "msg": { + "type": "string", + "title": "Message" + }, + "type": { + "type": "string", + "title": "Error Type" + } + }, + "type": "object", + "required": [ + "loc", + "msg", + "type" + ], + "title": "ValidationError" + }, + "WherebyWebhookEvent": { + "properties": { + "apiVersion": { + "type": "string", + "title": "Apiversion" + }, + "id": { + "type": "string", + "title": "Id" + }, + "createdAt": { + "type": "string", + "format": "date-time", + "title": "Createdat" + }, + "type": { + "type": "string", + "title": "Type" + }, + "data": { + "additionalProperties": true, + "type": "object", + "title": "Data" + } + }, + "type": "object", + "required": [ + "apiVersion", + "id", + "createdAt", + "type", + "data" + ], + "title": "WherebyWebhookEvent" + }, + "Word": { + "properties": { + "text": { + "type": "string", + "title": "Text" + }, + "start": { + "type": "number", + "minimum": 0.0, + "title": "Start", + "description": "Time in seconds with float part" + }, + "end": { + "type": "number", + "minimum": 0.0, + "title": "End", + "description": "Time in seconds with float part" + }, + "speaker": { + "type": "integer", + "title": "Speaker", + "default": 0 + } + }, + "type": "object", + "required": [ + "text", + "start", + "end" + ], + "title": "Word" + } + }, + "securitySchemes": { + "OAuth2PasswordBearer": { + "type": "oauth2", + "flows": { + "password": { + "scopes": {}, + "tokenUrl": "token" + } + } + } + } + } +} diff --git a/docs/tsconfig.json b/docs/tsconfig.json new file mode 100644 index 00000000..920d7a65 --- /dev/null +++ b/docs/tsconfig.json @@ -0,0 +1,8 @@ +{ + // This file is not used in compilation. It is here just for a nice editor experience. + "extends": "@docusaurus/tsconfig", + "compilerOptions": { + "baseUrl": "." + }, + "exclude": [".docusaurus", "build"] +} diff --git a/gpu/modal_deployments/deploy-all.sh b/gpu/modal_deployments/deploy-all.sh new file mode 100755 index 00000000..42e589a2 --- /dev/null +++ b/gpu/modal_deployments/deploy-all.sh @@ -0,0 +1,150 @@ +#!/bin/bash +set -e + +# --- Usage --- +usage() { + echo "Usage: $0 [OPTIONS]" + echo "" + echo "Options:" + echo " --hf-token TOKEN HuggingFace token" + echo " --help Show this help message" + echo "" + echo "Examples:" + echo " $0 # Interactive mode" + echo " $0 --hf-token hf_xxxxx # Non-interactive mode" + echo "" + exit 0 +} + +# --- Parse Arguments --- +HF_TOKEN="" +while [[ $# -gt 0 ]]; do + case $1 in + --hf-token) + HF_TOKEN="$2" + shift 2 + ;; + --help) + usage + ;; + *) + echo "Unknown option: $1" + usage + ;; + esac +done + +echo "==========================================" +echo "Reflector GPU Functions Deployment" +echo "==========================================" +echo "" + +# --- Check Dependencies --- +if ! command -v modal &> /dev/null; then + echo "Error: Modal CLI not installed." + echo " Install with: pip install modal" + exit 1 +fi + +if ! command -v openssl &> /dev/null; then + echo "Error: openssl not found." + echo " Mac: brew install openssl" + echo " Ubuntu: sudo apt-get install openssl" + exit 1 +fi + +# Check Modal authentication +if ! modal profile current &> /dev/null; then + echo "Error: Not authenticated with Modal." + echo " Run: modal setup" + exit 1 +fi + +# --- HuggingFace Token Setup --- +if [ -z "$HF_TOKEN" ]; then + echo "HuggingFace token required for Pyannote diarization model." + echo "1. Create account at https://huggingface.co" + echo "2. Accept license at https://huggingface.co/pyannote/speaker-diarization-3.1" + echo "3. Generate token at https://huggingface.co/settings/tokens" + echo "" + read -p "Enter your HuggingFace token: " HF_TOKEN +fi + +if [ -z "$HF_TOKEN" ]; then + echo "Error: HuggingFace token is required for diarization" + exit 1 +fi + +# Basic token format validation +if [[ ! "$HF_TOKEN" =~ ^hf_ ]]; then + echo "Warning: HuggingFace tokens usually start with 'hf_'" + if [ -t 0 ]; then + read -p "Continue anyway? (y/n): " confirm + if [ "$confirm" != "y" ]; then + exit 1 + fi + else + echo "Non-interactive mode: proceeding anyway" + fi +fi + +# --- Auto-generate reflector<->GPU API Key --- +echo "" +echo "Generating API key for GPU services..." +API_KEY=$(openssl rand -hex 32) + +# --- Create Modal Secrets --- +echo "Creating Modal secrets..." + +# Create or update hf_token secret (delete first if exists) +if modal secret list 2>/dev/null | grep -q "hf_token"; then + echo " -> Recreating secret: hf_token" + modal secret delete hf_token --yes 2>/dev/null || true +fi +echo " -> Creating secret: hf_token" +modal secret create hf_token HF_TOKEN="$HF_TOKEN" + +# Create or update reflector-gpu secret (delete first if exists) +if modal secret list 2>/dev/null | grep -q "reflector-gpu"; then + echo " -> Recreating secret: reflector-gpu" + modal secret delete reflector-gpu --yes 2>/dev/null || true +fi +echo " -> Creating secret: reflector-gpu" +modal secret create reflector-gpu REFLECTOR_GPU_APIKEY="$API_KEY" + +# --- Deploy Functions --- +echo "" +echo "Deploying transcriber (Whisper)..." +TRANSCRIBER_URL=$(modal deploy reflector_transcriber.py 2>&1 | grep -o 'https://[^ ]*web.modal.run' | head -1) +if [ -z "$TRANSCRIBER_URL" ]; then + echo "Error: Failed to deploy transcriber. Check Modal dashboard for details." + exit 1 +fi +echo " -> $TRANSCRIBER_URL" + +echo "" +echo "Deploying diarizer (Pyannote)..." +DIARIZER_URL=$(modal deploy reflector_diarizer.py 2>&1 | grep -o 'https://[^ ]*web.modal.run' | head -1) +if [ -z "$DIARIZER_URL" ]; then + echo "Error: Failed to deploy diarizer. Check Modal dashboard for details." + exit 1 +fi +echo " -> $DIARIZER_URL" + +# --- Output Configuration --- +echo "" +echo "==========================================" +echo "Deployment complete!" +echo "==========================================" +echo "" +echo "Copy these values to your server's server/.env file:" +echo "" +echo "# --- Modal GPU Configuration ---" +echo "TRANSCRIPT_BACKEND=modal" +echo "TRANSCRIPT_URL=$TRANSCRIBER_URL" +echo "TRANSCRIPT_MODAL_API_KEY=$API_KEY" +echo "" +echo "DIARIZATION_BACKEND=modal" +echo "DIARIZATION_URL=$DIARIZER_URL" +echo "DIARIZATION_MODAL_API_KEY=$API_KEY" +echo "# --- End Modal Configuration ---" diff --git a/gpu/modal_deployments/reflector_diarizer.py b/gpu/modal_deployments/reflector_diarizer.py index e9a4be46..816e17cf 100644 --- a/gpu/modal_deployments/reflector_diarizer.py +++ b/gpu/modal_deployments/reflector_diarizer.py @@ -24,6 +24,12 @@ app = modal.App(name="reflector-diarizer") upload_volume = modal.Volume.from_name("diarizer-uploads", create_if_missing=True) +# IMPORTANT: This function is duplicated in multiple files for deployment isolation. +# If you modify the audio format detection logic, you MUST update all copies: +# - gpu/self_hosted/app/utils.py +# - gpu/modal_deployments/reflector_transcriber.py (2 copies) +# - gpu/modal_deployments/reflector_transcriber_parakeet.py +# - gpu/modal_deployments/reflector_diarizer.py (this file) def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtension: parsed_url = urlparse(url) url_path = parsed_url.path @@ -39,6 +45,8 @@ def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtens return AudioFileExtension("wav") if "audio/mp4" in content_type: return AudioFileExtension("mp4") + if "audio/webm" in content_type or "video/webm" in content_type: + return AudioFileExtension("webm") raise ValueError( f"Unsupported audio format for URL: {url}. " @@ -105,7 +113,7 @@ def download_pyannote_audio(): diarizer_image = ( - modal.Image.debian_slim(python_version="3.10.8") + modal.Image.debian_slim(python_version="3.10") .pip_install( "pyannote.audio==3.1.0", "requests", @@ -116,7 +124,7 @@ diarizer_image = ( "transformers==4.34.0", "sentencepiece", "protobuf", - "numpy", + "numpy<2", "huggingface_hub", "hf-transfer", ) diff --git a/gpu/modal_deployments/reflector_transcriber.py b/gpu/modal_deployments/reflector_transcriber.py index 3be25542..fbd41083 100644 --- a/gpu/modal_deployments/reflector_transcriber.py +++ b/gpu/modal_deployments/reflector_transcriber.py @@ -89,6 +89,7 @@ image = ( "torch==2.5.1", "faster-whisper==1.1.1", "fastapi==0.115.12", + "python-multipart", "requests", "librosa==0.10.1", "numpy<2", @@ -98,6 +99,12 @@ image = ( ) +# IMPORTANT: This function is duplicated in multiple files for deployment isolation. +# If you modify the audio format detection logic, you MUST update all copies: +# - gpu/self_hosted/app/utils.py +# - gpu/modal_deployments/reflector_transcriber.py (this file - 2 copies!) +# - gpu/modal_deployments/reflector_transcriber_parakeet.py +# - gpu/modal_deployments/reflector_diarizer.py def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtension: parsed_url = urlparse(url) url_path = parsed_url.path @@ -113,6 +120,8 @@ def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtens return AudioFileExtension("wav") if "audio/mp4" in content_type: return AudioFileExtension("mp4") + if "audio/webm" in content_type or "video/webm" in content_type: + return AudioFileExtension("webm") raise ValueError( f"Unsupported audio format for URL: {url}. " @@ -315,6 +324,11 @@ class TranscriberWhisperFile: import numpy as np from silero_vad import VADIterator + # IMPORTANT: This VAD segment logic is duplicated in multiple files for deployment isolation. + # If you modify this function, you MUST update all copies: + # - gpu/modal_deployments/reflector_transcriber.py (this file) + # - gpu/modal_deployments/reflector_transcriber_parakeet.py + # - gpu/self_hosted/app/services/transcriber.py def vad_segments( audio_array, sample_rate: int = SAMPLERATE, @@ -322,6 +336,7 @@ class TranscriberWhisperFile: ) -> Generator[TimeSegment, None, None]: """Generate speech segments as TimeSegment using Silero VAD.""" iterator = VADIterator(self.vad_model, sampling_rate=sample_rate) + audio_duration = len(audio_array) / float(SAMPLERATE) start = None for i in range(0, len(audio_array), window_size): chunk = audio_array[i : i + window_size] @@ -341,6 +356,9 @@ class TranscriberWhisperFile: start / float(SAMPLERATE), end / float(SAMPLERATE) ) start = None + # Handle case where audio ends while speech is still active + if start is not None: + yield TimeSegment(start / float(SAMPLERATE), audio_duration) iterator.reset_states() upload_volume.reload() @@ -406,6 +424,12 @@ class TranscriberWhisperFile: return {"text": " ".join(all_text), "words": all_words} +# IMPORTANT: This function is duplicated in multiple files for deployment isolation. +# If you modify the audio format detection logic, you MUST update all copies: +# - gpu/self_hosted/app/utils.py +# - gpu/modal_deployments/reflector_transcriber.py (this file - 2 copies!) +# - gpu/modal_deployments/reflector_transcriber_parakeet.py +# - gpu/modal_deployments/reflector_diarizer.py def detect_audio_format(url: str, headers: dict) -> str: from urllib.parse import urlparse @@ -423,6 +447,8 @@ def detect_audio_format(url: str, headers: dict) -> str: return "wav" if "audio/mp4" in content_type: return "mp4" + if "audio/webm" in content_type or "video/webm" in content_type: + return "webm" raise HTTPException( status_code=400, diff --git a/gpu/modal_deployments/reflector_transcriber_parakeet.py b/gpu/modal_deployments/reflector_transcriber_parakeet.py index 5f326b77..046f1a7c 100644 --- a/gpu/modal_deployments/reflector_transcriber_parakeet.py +++ b/gpu/modal_deployments/reflector_transcriber_parakeet.py @@ -90,6 +90,12 @@ image = ( ) +# IMPORTANT: This function is duplicated in multiple files for deployment isolation. +# If you modify the audio format detection logic, you MUST update all copies: +# - gpu/self_hosted/app/utils.py +# - gpu/modal_deployments/reflector_transcriber.py (2 copies) +# - gpu/modal_deployments/reflector_transcriber_parakeet.py (this file) +# - gpu/modal_deployments/reflector_diarizer.py def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtension: parsed_url = urlparse(url) url_path = parsed_url.path @@ -105,6 +111,8 @@ def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtens return AudioFileExtension("wav") if "audio/mp4" in content_type: return AudioFileExtension("mp4") + if "audio/webm" in content_type or "video/webm" in content_type: + return AudioFileExtension("webm") raise ValueError( f"Unsupported audio format for URL: {url}. " @@ -301,6 +309,11 @@ class TranscriberParakeetFile: audio_array, sample_rate = librosa.load(file_path, sr=SAMPLERATE, mono=True) return audio_array + # IMPORTANT: This VAD segment logic is duplicated in multiple files for deployment isolation. + # If you modify this function, you MUST update all copies: + # - gpu/modal_deployments/reflector_transcriber.py + # - gpu/modal_deployments/reflector_transcriber_parakeet.py (this file) + # - gpu/self_hosted/app/services/transcriber.py def vad_segment_generator( audio_array, ) -> Generator[TimeSegment, None, None]: diff --git a/gpu/modal_deployments/reflector_translator.py b/gpu/modal_deployments/reflector_translator.py index 844f5094..7b6244a3 100644 --- a/gpu/modal_deployments/reflector_translator.py +++ b/gpu/modal_deployments/reflector_translator.py @@ -103,7 +103,7 @@ def configure_seamless_m4t(): transcriber_image = ( - Image.debian_slim(python_version="3.10.8") + Image.debian_slim(python_version="3.10") .apt_install("git") .apt_install("wget") .apt_install("libsndfile-dev") @@ -119,6 +119,7 @@ transcriber_image = ( "fairseq2", "pyyaml", "hf-transfer~=0.1", + "pydantic", ) .run_function(install_seamless_communication) .run_function(download_seamlessm4t_model) diff --git a/gpu/self_hosted/DEV_SETUP.md b/gpu/self_hosted/DEV_SETUP.md new file mode 100644 index 00000000..9b76865c --- /dev/null +++ b/gpu/self_hosted/DEV_SETUP.md @@ -0,0 +1,137 @@ +# Local Development GPU Setup + +Run transcription and diarization locally for development/testing. + +> **For production deployment**, see the [Self-Hosted GPU Setup Guide](../../docs/docs/installation/self-hosted-gpu-setup.md). + +## Prerequisites + +1. **Python 3.12+** and **uv** package manager +2. **FFmpeg** installed and on PATH +3. **HuggingFace account** with access to pyannote models + +### Accept Pyannote Licenses (Required) + +Before first run, accept licenses for these gated models (logged into HuggingFace): +- https://hf.co/pyannote/speaker-diarization-3.1 +- https://hf.co/pyannote/segmentation-3.0 + +## Quick Start + +### 1. Install dependencies + +```bash +cd gpu/self_hosted +uv sync +``` + +### 2. Start the GPU service + +```bash +cd gpu/self_hosted +HF_TOKEN= \ +REFLECTOR_GPU_APIKEY=dev-key-12345 \ +.venv/bin/uvicorn main:app --host 0.0.0.0 --port 8000 +``` + +Note: The `.env` file is NOT auto-loaded. Pass env vars explicitly or use: +```bash +export HF_TOKEN= +export REFLECTOR_GPU_APIKEY=dev-key-12345 +.venv/bin/uvicorn main:app --host 0.0.0.0 --port 8000 +``` + +### 3. Configure Reflector to use local GPU + +Edit `server/.env`: + +```bash +# Transcription - local GPU service +TRANSCRIPT_BACKEND=modal +TRANSCRIPT_URL=http://host.docker.internal:8000 +TRANSCRIPT_MODAL_API_KEY=dev-key-12345 + +# Diarization - local GPU service +DIARIZATION_BACKEND=modal +DIARIZATION_URL=http://host.docker.internal:8000 +DIARIZATION_MODAL_API_KEY=dev-key-12345 +``` + +Note: Use `host.docker.internal` because Reflector server runs in Docker. + +### 4. Restart Reflector server + +```bash +cd server +docker compose restart server worker +``` + +## Testing + +### Test transcription + +```bash +curl -s -X POST http://localhost:8000/v1/audio/transcriptions \ + -H "Authorization: Bearer dev-key-12345" \ + -F "file=@/path/to/audio.wav" \ + -F "language=en" +``` + +### Test diarization + +```bash +curl -s -X POST "http://localhost:8000/diarize?audio_file_url=" \ + -H "Authorization: Bearer dev-key-12345" +``` + +## Platform Notes + +### macOS (ARM) + +Docker build fails - CUDA packages are x86_64 only. Use local Python instead: +```bash +uv sync +HF_TOKEN=xxx REFLECTOR_GPU_APIKEY=xxx .venv/bin/uvicorn main:app --host 0.0.0.0 --port 8000 +``` + +### Linux with NVIDIA GPU + +Docker works with CUDA acceleration: +```bash +docker compose up -d +``` + +### CPU-only + +Works on any platform, just slower. PyTorch auto-detects and falls back to CPU. + +## Switching Back to Modal.com + +Edit `server/.env`: + +```bash +TRANSCRIPT_BACKEND=modal +TRANSCRIPT_URL=https://monadical-sas--reflector-transcriber-parakeet-web.modal.run +TRANSCRIPT_MODAL_API_KEY= + +DIARIZATION_BACKEND=modal +DIARIZATION_URL=https://monadical-sas--reflector-diarizer-web.modal.run +DIARIZATION_MODAL_API_KEY= +``` + +## Troubleshooting + +### "Could not download pyannote pipeline" +- Accept model licenses at HuggingFace (see Prerequisites) +- Verify HF_TOKEN is set and valid + +### Service won't start +- Check port 8000 is free: `lsof -i :8000` +- Kill orphan processes if needed + +### Transcription returns empty text +- Ensure audio contains speech (not just tones/silence) +- Check audio format is supported (wav, mp3, etc.) + +### Deprecation warnings from torchaudio/pyannote +- Safe to ignore - doesn't affect functionality diff --git a/gpu/self_hosted/README.md b/gpu/self_hosted/README.md index 0180a8ae..395e05a6 100644 --- a/gpu/self_hosted/README.md +++ b/gpu/self_hosted/README.md @@ -56,9 +56,13 @@ Docker - Not yet provided in this directory. A Dockerfile will be added later. For now, use Local run above -Conformance tests +# Setup -# From this directory +[SETUP.md](SETUP.md) + +# Conformance tests + +## From this directory TRANSCRIPT_URL=http://localhost:8000 \ TRANSCRIPT_API_KEY=dev-key \ diff --git a/gpu/self_hosted/app/services/transcriber.py b/gpu/self_hosted/app/services/transcriber.py index 26a313cc..21e55fe5 100644 --- a/gpu/self_hosted/app/services/transcriber.py +++ b/gpu/self_hosted/app/services/transcriber.py @@ -129,6 +129,11 @@ class WhisperService: audio = np.frombuffer(proc.stdout, dtype=np.float32) return audio + # IMPORTANT: This VAD segment logic is duplicated in multiple files for deployment isolation. + # If you modify this function, you MUST update all copies: + # - gpu/modal_deployments/reflector_transcriber.py + # - gpu/modal_deployments/reflector_transcriber_parakeet.py + # - gpu/self_hosted/app/services/transcriber.py (this file) def vad_segments( audio_array, sample_rate: int = SAMPLE_RATE, @@ -153,6 +158,10 @@ class WhisperService: end = speech["end"] yield (start / float(SAMPLE_RATE), end / float(SAMPLE_RATE)) start = None + # Handle case where audio ends while speech is still active + if start is not None: + audio_duration = len(audio_array) / float(sample_rate) + yield (start / float(SAMPLE_RATE), audio_duration) iterator.reset_states() audio_array = load_audio_via_ffmpeg(file_path, SAMPLE_RATE) diff --git a/gpu/self_hosted/app/utils.py b/gpu/self_hosted/app/utils.py index 679804cb..7200cfa2 100644 --- a/gpu/self_hosted/app/utils.py +++ b/gpu/self_hosted/app/utils.py @@ -34,6 +34,12 @@ def ensure_dirs(): UPLOADS_PATH.mkdir(parents=True, exist_ok=True) +# IMPORTANT: This function is duplicated in multiple files for deployment isolation. +# If you modify the audio format detection logic, you MUST update all copies: +# - gpu/self_hosted/app/utils.py (this file) +# - gpu/modal_deployments/reflector_transcriber.py (2 copies) +# - gpu/modal_deployments/reflector_transcriber_parakeet.py +# - gpu/modal_deployments/reflector_diarizer.py def detect_audio_format(url: str, headers: Mapping[str, str]) -> str: url_path = urlparse(url).path for ext in SUPPORTED_FILE_EXTENSIONS: @@ -47,6 +53,8 @@ def detect_audio_format(url: str, headers: Mapping[str, str]) -> str: return "wav" if "audio/mp4" in content_type: return "mp4" + if "audio/webm" in content_type or "video/webm" in content_type: + return "webm" raise HTTPException( status_code=400, diff --git a/gpu/self_hosted/compose.yml b/gpu/self_hosted/compose.yml index 4f04935a..c6610834 100644 --- a/gpu/self_hosted/compose.yml +++ b/gpu/self_hosted/compose.yml @@ -8,3 +8,11 @@ services: - .env volumes: - ./cache:/root/.cache + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: all + capabilities: [gpu] + restart: unless-stopped diff --git a/scripts/setup-authentik-oauth.sh b/scripts/setup-authentik-oauth.sh new file mode 100755 index 00000000..703a0def --- /dev/null +++ b/scripts/setup-authentik-oauth.sh @@ -0,0 +1,258 @@ +#!/bin/bash +set -e + +# Setup Authentik OAuth provider for Reflector +# +# IMPORTANT: Run this script from your Reflector repository directory (cd ~/reflector) +# The script creates files using relative paths: server/reflector/auth/jwt/keys/ +# +# Usage: ./setup-authentik-oauth.sh +# Example: ./setup-authentik-oauth.sh https://authentik.example.com MyPassword123 https://app.example.com + +AUTHENTIK_URL="${1:-}" +ADMIN_PASSWORD="${2:-}" +FRONTEND_URL="${3:-}" + +if [ -z "$AUTHENTIK_URL" ] || [ -z "$ADMIN_PASSWORD" ] || [ -z "$FRONTEND_URL" ]; then + echo "Usage: $0 " + echo "Example: $0 https://authentik.example.com MyPassword123 https://app.example.com" + exit 1 +fi + +# Remove trailing slash from URLs +AUTHENTIK_URL="${AUTHENTIK_URL%/}" +FRONTEND_URL="${FRONTEND_URL%/}" + +echo "===========================================" +echo "Authentik OAuth Setup for Reflector" +echo "===========================================" +echo "" +echo "Authentik URL: $AUTHENTIK_URL" +echo "Frontend URL: $FRONTEND_URL" +echo "" + +# Step 1: Create API token via Django shell +echo "Creating API token..." +cd ~/authentik || { echo "Error: ~/authentik directory not found"; exit 1; } + +API_TOKEN=$(sudo docker compose exec -T server python -m manage shell 2>&1 << 'PYTHON' | grep "^TOKEN:" | cut -d: -f2 +from authentik.core.models import User, Token, TokenIntents + +user = User.objects.get(username='akadmin') +token, created = Token.objects.update_or_create( + identifier='reflector-setup', + defaults={ + 'user': user, + 'intent': TokenIntents.INTENT_API, + 'description': 'Reflector setup token', + 'expiring': False + } +) +print(f"TOKEN:{token.key}") +PYTHON +) + +cd - > /dev/null + +if [ -z "$API_TOKEN" ] || [ "$API_TOKEN" = "null" ]; then + echo "Error: Failed to create API token" + echo "Make sure Authentik is fully started and akadmin user exists" + exit 1 +fi +echo " -> Got API token" + +# Step 2: Get authorization flow UUID +echo "Getting authorization flow..." +FLOW_RESPONSE=$(curl -s "$AUTHENTIK_URL/api/v3/flows/instances/?slug=default-provider-authorization-implicit-consent" \ + -H "Authorization: Bearer $API_TOKEN") + +FLOW_UUID=$(echo "$FLOW_RESPONSE" | jq -r '.results[0].pk') +if [ -z "$FLOW_UUID" ] || [ "$FLOW_UUID" = "null" ]; then + echo "Error: Could not find authorization flow" + echo "Response: $FLOW_RESPONSE" + exit 1 +fi +echo " -> Flow UUID: $FLOW_UUID" + +# Step 3: Get invalidation flow UUID +echo "Getting invalidation flow..." +INVALIDATION_RESPONSE=$(curl -s "$AUTHENTIK_URL/api/v3/flows/instances/?slug=default-provider-invalidation-flow" \ + -H "Authorization: Bearer $API_TOKEN") + +INVALIDATION_UUID=$(echo "$INVALIDATION_RESPONSE" | jq -r '.results[0].pk') +if [ -z "$INVALIDATION_UUID" ] || [ "$INVALIDATION_UUID" = "null" ]; then + echo "Warning: Could not find invalidation flow, using authorization flow" + INVALIDATION_UUID="$FLOW_UUID" +fi +echo " -> Invalidation UUID: $INVALIDATION_UUID" + +# Step 4: Get scope mappings (email, openid, profile) +echo "Getting scope mappings..." +SCOPE_RESPONSE=$(curl -s "$AUTHENTIK_URL/api/v3/propertymappings/all/" \ + -H "Authorization: Bearer $API_TOKEN") + +EMAIL_SCOPE=$(echo "$SCOPE_RESPONSE" | jq -r '.results[] | select(.name == "authentik default OAuth Mapping: OpenID '\''email'\''") | .pk') +OPENID_SCOPE=$(echo "$SCOPE_RESPONSE" | jq -r '.results[] | select(.name == "authentik default OAuth Mapping: OpenID '\''openid'\''") | .pk') +PROFILE_SCOPE=$(echo "$SCOPE_RESPONSE" | jq -r '.results[] | select(.name == "authentik default OAuth Mapping: OpenID '\''profile'\''") | .pk') +echo " -> email: $EMAIL_SCOPE" +echo " -> openid: $OPENID_SCOPE" +echo " -> profile: $PROFILE_SCOPE" + +# Step 5: Get signing key +echo "Getting signing key..." +CERT_RESPONSE=$(curl -s "$AUTHENTIK_URL/api/v3/crypto/certificatekeypairs/" \ + -H "Authorization: Bearer $API_TOKEN") +SIGNING_KEY=$(echo "$CERT_RESPONSE" | jq -r '.results[0].pk') +echo " -> Signing key: $SIGNING_KEY" + +# Step 6: Generate client credentials +CLIENT_ID="reflector" +CLIENT_SECRET=$(openssl rand -hex 32) + +# Step 7: Create OAuth2 provider +echo "Creating OAuth2 provider..." +PROVIDER_RESPONSE=$(curl -s -X POST "$AUTHENTIK_URL/api/v3/providers/oauth2/" \ + -H "Authorization: Bearer $API_TOKEN" \ + -H "Content-Type: application/json" \ + -d "{ + \"name\": \"Reflector\", + \"authorization_flow\": \"$FLOW_UUID\", + \"invalidation_flow\": \"$INVALIDATION_UUID\", + \"client_type\": \"confidential\", + \"client_id\": \"$CLIENT_ID\", + \"client_secret\": \"$CLIENT_SECRET\", + \"redirect_uris\": [{ + \"matching_mode\": \"strict\", + \"url\": \"$FRONTEND_URL/api/auth/callback/authentik\" + }], + \"property_mappings\": [\"$EMAIL_SCOPE\", \"$OPENID_SCOPE\", \"$PROFILE_SCOPE\"], + \"signing_key\": \"$SIGNING_KEY\", + \"access_token_validity\": \"hours=1\", + \"refresh_token_validity\": \"days=30\" + }") + +PROVIDER_ID=$(echo "$PROVIDER_RESPONSE" | jq -r '.pk') +if [ -z "$PROVIDER_ID" ] || [ "$PROVIDER_ID" = "null" ]; then + # Check if provider already exists + if echo "$PROVIDER_RESPONSE" | grep -q "already exists"; then + echo " -> Provider already exists, updating..." + EXISTING=$(curl -s "$AUTHENTIK_URL/api/v3/providers/oauth2/?name=Reflector" \ + -H "Authorization: Bearer $API_TOKEN") + PROVIDER_ID=$(echo "$EXISTING" | jq -r '.results[0].pk') + CLIENT_ID=$(echo "$EXISTING" | jq -r '.results[0].client_id') + # Update secret and scopes + curl -s -X PATCH "$AUTHENTIK_URL/api/v3/providers/oauth2/$PROVIDER_ID/" \ + -H "Authorization: Bearer $API_TOKEN" \ + -H "Content-Type: application/json" \ + -d "{ + \"client_secret\": \"$CLIENT_SECRET\", + \"property_mappings\": [\"$EMAIL_SCOPE\", \"$OPENID_SCOPE\", \"$PROFILE_SCOPE\"], + \"signing_key\": \"$SIGNING_KEY\" + }" > /dev/null + else + echo "Error: Failed to create provider" + echo "Response: $PROVIDER_RESPONSE" + exit 1 + fi +fi +echo " -> Provider ID: $PROVIDER_ID" + +# Step 8: Create application +echo "Creating application..." +APP_RESPONSE=$(curl -s -X POST "$AUTHENTIK_URL/api/v3/core/applications/" \ + -H "Authorization: Bearer $API_TOKEN" \ + -H "Content-Type: application/json" \ + -d "{ + \"name\": \"Reflector\", + \"slug\": \"reflector\", + \"provider\": $PROVIDER_ID + }") + +if echo "$APP_RESPONSE" | grep -q "already exists"; then + echo " -> Application already exists" +else + APP_SLUG=$(echo "$APP_RESPONSE" | jq -r '.slug') + if [ -z "$APP_SLUG" ] || [ "$APP_SLUG" = "null" ]; then + echo "Error: Failed to create application" + echo "Response: $APP_RESPONSE" + exit 1 + fi + echo " -> Application created: $APP_SLUG" +fi + +# Step 9: Extract public key for JWT verification +echo "Extracting public key for JWT verification..." +mkdir -p server/reflector/auth/jwt/keys +curl -s "$AUTHENTIK_URL/application/o/reflector/jwks/" | \ + jq -r '.keys[0].x5c[0]' | \ + base64 -d | \ + openssl x509 -pubkey -noout > server/reflector/auth/jwt/keys/authentik_public.pem + +if [ ! -s server/reflector/auth/jwt/keys/authentik_public.pem ]; then + echo "Error: Failed to extract public key" + exit 1 +fi +echo " -> Saved to server/reflector/auth/jwt/keys/authentik_public.pem" + +# Step 10: Update environment files automatically +echo "Updating environment files..." + +# Update server/.env +cat >> server/.env << EOF + +# --- Authentik OAuth (added by setup script) --- +AUTH_BACKEND=jwt +AUTH_JWT_AUDIENCE=$CLIENT_ID +AUTH_JWT_PUBLIC_KEY=authentik_public.pem +# --- End JWT Configuration --- +EOF +echo " -> Updated server/.env" + +# Update www/.env +cat >> www/.env << EOF + +# --- Authentik OAuth (added by setup script) --- +FEATURE_REQUIRE_LOGIN=true +AUTHENTIK_ISSUER=$AUTHENTIK_URL/application/o/reflector +AUTHENTIK_REFRESH_TOKEN_URL=$AUTHENTIK_URL/application/o/token/ +AUTHENTIK_CLIENT_ID=$CLIENT_ID +AUTHENTIK_CLIENT_SECRET=$CLIENT_SECRET +# --- End Authentik Configuration --- +EOF +echo " -> Updated www/.env" + +# Step 11: Restart Reflector services +echo "Restarting Reflector services..." +docker compose -f docker-compose.prod.yml up -d server worker web + +echo "" +echo "===========================================" +echo "Setup complete!" +echo "===========================================" +echo "" +echo "Authentik admin: $AUTHENTIK_URL" +echo " Username: akadmin" +echo " Password: (provided as argument)" +echo "" +echo "Frontend: $FRONTEND_URL" +echo " Authentication is now required" +echo "" +echo "Note: Public key saved to server/reflector/auth/jwt/keys/authentik_public.pem" +echo " and mounted via docker-compose volume." +echo "" +echo "===========================================" +echo "Configuration values (for reference):" +echo "===========================================" +echo "" +echo "# server/.env" +echo "AUTH_BACKEND=jwt" +echo "AUTH_JWT_AUDIENCE=$CLIENT_ID" +echo "AUTH_JWT_PUBLIC_KEY=authentik_public.pem" +echo "" +echo "# www/.env" +echo "FEATURE_REQUIRE_LOGIN=true" +echo "AUTHENTIK_ISSUER=$AUTHENTIK_URL/application/o/reflector" +echo "AUTHENTIK_REFRESH_TOKEN_URL=$AUTHENTIK_URL/application/o/token/" +echo "AUTHENTIK_CLIENT_ID=$CLIENT_ID" +echo "AUTHENTIK_CLIENT_SECRET=$CLIENT_SECRET" +echo "" diff --git a/server/env.example b/server/.env.example similarity index 65% rename from server/env.example rename to server/.env.example index 7375bf0a..5148e297 100644 --- a/server/env.example +++ b/server/.env.example @@ -3,6 +3,29 @@ # All the settings are described here: reflector/settings.py # +## ======================================================= +## Core Configuration (Required for Production) +## ======================================================= + +## Database (for docker-compose.prod.yml, use postgres hostname) +#DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector + +## Redis (for docker-compose.prod.yml, use redis hostname) +#REDIS_HOST=redis +#REDIS_PORT=6379 +#CELERY_BROKER_URL=redis://redis:6379/1 +#CELERY_RESULT_BACKEND=redis://redis:6379/1 + +## Base URL - your API domain with https +#BASE_URL=https://api.example.com + +## CORS - required when frontend and API are on different domains +#CORS_ORIGIN=https://app.example.com +#CORS_ALLOW_CREDENTIALS=true + +## Secret key - generate with: openssl rand -hex 32 +#SECRET_KEY=changeme-generate-a-secure-random-string + ## ======================================================= ## User authentication ## ======================================================= @@ -40,18 +63,21 @@ TRANSLATE_URL=https://monadical-sas--reflector-translator-web.modal.run #TRANSLATION_MODAL_API_KEY=xxxxx ## ======================================================= -## LLM backend +## LLM backend (Required) ## -## Responsible for titles and short summary -## Check reflector/llm/* for the full list of available -## llm backend implementation +## Responsible for generating titles, summaries, and topic detection +## Requires OpenAI API key ## ======================================================= +## OpenAI API key - get from https://platform.openai.com/account/api-keys +LLM_API_KEY=sk-your-openai-api-key +LLM_MODEL=gpt-4o-mini + +## Optional: Custom endpoint (defaults to OpenAI) +# LLM_URL=https://api.openai.com/v1 + ## Context size for summary generation (tokens) -# LLM_MODEL=microsoft/phi-4 LLM_CONTEXT_WINDOW=16000 -LLM_URL= -LLM_API_KEY=sk- ## ======================================================= ## Diarization @@ -65,6 +91,19 @@ DIARIZATION_URL=https://monadical-sas--reflector-diarizer-web.modal.run #DIARIZATION_MODAL_API_KEY=xxxxx +## ======================================================= +## Transcript Storage +## +## Where to store audio files and transcripts +## AWS S3 is required for production +## ======================================================= +TRANSCRIPT_STORAGE_BACKEND=aws +TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID=your-aws-access-key +TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY=your-aws-secret-key +TRANSCRIPT_STORAGE_AWS_BUCKET_NAME=reflector-media +TRANSCRIPT_STORAGE_AWS_REGION=us-east-1 + + ## ======================================================= ## Sentry ## ======================================================= diff --git a/server/docs/daily_pipeline.md b/server/docs/daily_pipeline.md new file mode 100644 index 00000000..dab9263e --- /dev/null +++ b/server/docs/daily_pipeline.md @@ -0,0 +1,421 @@ +# Daily.co pipeline + +This document details every external call, storage operation, and database write that occurs when a new Daily.co recording is discovered. +It includes a bunch of common logic that other pipelines use, therefore not everything is Daily-oriented. + +**The doc was generated at 12.12.2025 and things may have changed since.** + +## Trigger + +Two entry points, both converging to the same handler: + +1. **Webhook**: Daily.co sends `POST /v1/daily/webhook` with `recording.ready-to-download` +2. **Polling**: `GET /recordings` (paginated, max 100/call) → filter new → convert to same payload format + +Both produce `RecordingReadyPayload` and call `handleRecordingReady(payload)`. + +``` +┌─────────────────┐ ┌──────────────────────────┐ +│ Daily Webhook │────▶│ RecordingReadyPayload │ +│ (push) │ │ {room_name, recording_id│ +└─────────────────┘ │ tracks[], ...} │ + └────────────┬─────────────┘ +┌─────────────────┐ │ +│ GET /recordings│ ▼ +│ (poll) │────▶ convert ──▶ handleRecordingReady() +└─────────────────┘ │ + ▼ + ┌────────────────────────┐ + │ process_multitrack_ │ + │ recording pipeline │ + └────────────────────────┘ +``` + +**Polling API**: `GET https://api.daily.co/v1/recordings` +- Pagination: `limit` (max 100), `starting_after`, `ending_before` +- Rate limit: ~2 req/sec +- Response: `{total_count, data: Recording[]}` + +```mermaid +flowchart TB + subgraph Trigger["1. Recording Discovery - Daily.co Webhook"] + DAILY_WEBHOOK["Daily.co sends POST /v1/daily/webhook
type: recording.ready-to-download"] + VERIFY["Verify X-Webhook-Signature (HMAC)"] + PARSE["Parse DailyWebhookEvent
Extract tracks[], room_name, recording_id"] + FILTER["Filter audio tracks only
track_keys = [t.s3Key for t in tracks if t.type == 'audio']"] + DISPATCH["process_multitrack_recording.delay()"] + + DAILY_WEBHOOK --> VERIFY --> PARSE --> FILTER --> DISPATCH + end + + subgraph Init["2. Recording Initialization"] + FETCH_MEETING[DB READ: meetings_controller.get_by_room_name] + FETCH_ROOM[DB READ: rooms_controller.get_by_name] + DAILY_API_REC[Daily API: GET /recordings/recording_id] + DAILY_API_PART[Daily API: GET /meetings/mtgSessionId/participants] + CREATE_RECORDING[DB WRITE: recordings_controller.create] + CREATE_TRANSCRIPT[DB WRITE: transcripts_controller.add] + MAP_PARTICIPANTS[DB WRITE: transcript.participants upsert] + end + + subgraph Pipeline["3. Processing Pipeline"] + direction TB + PAD[Track Padding & Mixdown] + TRANSCRIBE[GPU: Transcription per track] + TOPICS[LLM: Topic Detection] + TITLE[LLM: Title Generation] + SUMMARY[LLM: Summary Generation] + end + + subgraph Storage["4. S3 Operations"] + S3_PRESIGN[S3: generate_presigned_url for tracks] + S3_UPLOAD_PADDED[S3 UPLOAD: padded tracks temp] + S3_UPLOAD_MP3[S3 UPLOAD: audio.mp3] + S3_DELETE_TEMP[S3 DELETE: cleanup temp files] + end + + subgraph PostProcess["5. Post-Processing"] + CONSENT[Consent check & cleanup] + ZULIP[Zulip: send/update message] + WEBHOOK_OUT[Webhook: POST to room.webhook_url] + end + + Trigger --> Init --> Pipeline + Pipeline --> Storage + Pipeline --> PostProcess +``` + +## Detailed Sequence: Daily.co Multitrack Recording + +```mermaid +sequenceDiagram + participant DailyCo as Daily.co + participant API as FastAPI /v1/daily/webhook + participant Worker as Celery Worker + participant DB as PostgreSQL + participant DailyAPI as Daily.co REST API + participant S3 as AWS S3 + participant GPU as Modal.com GPU + participant LLM as LLM Service + participant WS as WebSocket + participant Zulip as Zulip + participant ExtWH as External Webhook + + Note over DailyCo,API: Phase 0: Webhook Receipt + DailyCo->>API: POST /v1/daily/webhook + Note right of DailyCo: X-Webhook-Signature, X-Webhook-Timestamp + API->>API: verify_webhook_signature() + API->>API: Extract audio track s3Keys from payload.tracks[] + API->>Worker: process_multitrack_recording.delay() + API-->>DailyCo: 200 OK + + Note over Worker,DailyAPI: Phase 1: Recording Initialization + Worker->>DB: SELECT meeting WHERE room_name=? + Worker->>DB: SELECT room WHERE name=? + Worker->>DailyAPI: GET /recordings/{recording_id} + DailyAPI-->>Worker: {mtgSessionId, ...} + Worker->>DailyAPI: GET /meetings/{mtgSessionId}/participants + DailyAPI-->>Worker: [{participant_id, user_name}, ...] + Worker->>DB: INSERT INTO recording + Worker->>DB: INSERT INTO transcript (status='idle') + loop For each track_key (parse participant_id from filename) + Worker->>DB: UPSERT transcript.participants[speaker=idx, name=X] + end + + Note over Worker,S3: Phase 2: Track Padding + Worker->>DB: UPDATE transcript SET status='processing' + Worker->>WS: broadcast STATUS='processing' + loop For each track in track_keys (N tracks) + Worker->>S3: generate_presigned_url(track_key, DAILYCO_BUCKET) + S3-->>Worker: presigned_url (2hr) + Note over Worker: PyAV: read WebM, extract start_time + Note over Worker: PyAV: adelay filter (pad silence) + Worker->>S3: PUT file_pipeline/{id}/tracks/padded_{idx}.webm + Worker->>S3: generate_presigned_url(padded_{idx}.webm) + end + + Note over Worker,S3: Phase 3: Audio Mixdown + Note over Worker: PyAV: amix filter → stereo MP3 + Worker->>DB: UPDATE transcript SET duration=X + Worker->>WS: broadcast DURATION + Worker->>S3: PUT {transcript_id}/audio.mp3 + Worker->>DB: UPDATE transcript SET audio_location='storage' + + Note over Worker: Phase 4: Waveform + Note over Worker: Generate peaks from MP3 + Worker->>DB: UPDATE events+=WAVEFORM + Worker->>WS: broadcast WAVEFORM + + Note over Worker,GPU: Phase 5: Transcription (N GPU calls) + loop For each padded track URL (N tracks) + Worker->>GPU: POST /v1/audio/transcriptions-from-url + Note right of GPU: {audio_file_url, language, batch:true} + GPU-->>Worker: {words: [{word, start, end}, ...]} + Note over Worker: Assign speaker=track_idx to words + end + Note over Worker: Merge all words, sort by start time + Worker->>DB: UPDATE events+=TRANSCRIPT + Worker->>WS: broadcast TRANSCRIPT + + Note over Worker,S3: Cleanup temp files + loop For each padded file + Worker->>S3: DELETE padded_{idx}.webm + end + + Note over Worker,LLM: Phase 6: Topic Detection (C LLM calls) + Note over Worker: C = ceil(total_words / 300) + loop For each 300-word chunk (C chunks) + Worker->>LLM: TOPIC_PROMPT + words[i:i+300] + Note right of LLM: "Extract main topic title + 2-sentence summary" + LLM-->>Worker: TitleSummary{title, summary} + Worker->>DB: UPSERT topics[] + Worker->>DB: UPDATE events+=TOPIC + Worker->>WS: broadcast TOPIC + end + + Note over Worker,LLM: Phase 7a: Title Generation (1 LLM call) + Note over Worker: Input: all TitleSummary[].title joined + Worker->>LLM: TITLE_PROMPT + Note right of LLM: "Generate concise title from topic titles" + LLM-->>Worker: "Meeting Title" + Worker->>DB: UPDATE transcript SET title=X + Worker->>DB: UPDATE events+=FINAL_TITLE + Worker->>WS: broadcast FINAL_TITLE + + Note over Worker,LLM: Phase 7b: Summary Generation (2+2M LLM calls) + Note over Worker: Reconstruct full transcript from TitleSummary[].transcript + opt If participants unknown + Worker->>LLM: PARTICIPANTS_PROMPT + LLM-->>Worker: ParticipantsResponse + end + Worker->>LLM: SUBJECTS_PROMPT (call #1) + Note right of LLM: "Main high-level topics? Max 6" + LLM-->>Worker: SubjectsResponse{subjects: ["A", "B", ...]} + + loop For each subject (M subjects, max 6) + Worker->>LLM: DETAILED_SUBJECT_PROMPT (call #2..#1+M) + Note right of LLM: "Info about 'A': decisions, actions, deadlines" + LLM-->>Worker: detailed_response (discarded after next call) + Worker->>LLM: PARAGRAPH_SUMMARY_PROMPT (call #2+M..#1+2M) + Note right of LLM: "Summarize in 1 paragraph" + LLM-->>Worker: paragraph → summaries[] + end + + Worker->>LLM: RECAP_PROMPT (call #2+2M) + Note right of LLM: "High-level quick recap, 1 paragraph" + LLM-->>Worker: recap + Note over Worker: long_summary = "# Quick recap\n{recap}\n# Summary\n**A**\n{para1}..." + Note over Worker: short_summary = recap only + Worker->>DB: UPDATE long_summary, short_summary + Worker->>DB: UPDATE events+=FINAL_LONG_SUMMARY + Worker->>WS: broadcast FINAL_LONG_SUMMARY + Worker->>DB: UPDATE events+=FINAL_SHORT_SUMMARY + Worker->>WS: broadcast FINAL_SHORT_SUMMARY + + Note over Worker,DB: Phase 8: Finalize + Worker->>DB: UPDATE transcript SET status='ended' + Worker->>DB: UPDATE events+=STATUS + Worker->>WS: broadcast STATUS='ended' + + Note over Worker,ExtWH: Phase 9: Post-Processing Chain + Worker->>DB: SELECT meeting_consent WHERE meeting_id=? + alt Any consent denied + Worker->>S3: DELETE tracks from DAILYCO_BUCKET + Worker->>S3: DELETE audio.mp3 from TRANSCRIPT_BUCKET + Worker->>DB: UPDATE transcript SET audio_deleted=true + end + + opt Room has zulip_auto_post=true + alt Existing zulip_message_id + Worker->>Zulip: PATCH /api/v1/messages/{id} + else New + Worker->>Zulip: POST /api/v1/messages + Zulip-->>Worker: {id} + Worker->>DB: UPDATE transcript SET zulip_message_id=X + end + end + + opt Room has webhook_url + Worker->>ExtWH: POST {webhook_url} + Note right of ExtWH: X-Webhook-Signature: HMAC-SHA256 + Note right of ExtWH: Body: {transcript_id, room_id, ...} + end +``` + +## Title & Summary Generation Data Flow + +```mermaid +flowchart TB + subgraph Input["Input: TitleSummary[] from Topic Detection"] + TS1["TitleSummary 1
title: 'Q1 Budget'
transcript: words[0:300]"] + TS2["TitleSummary 2
title: 'Product Launch'
transcript: words[300:600]"] + TS3["TitleSummary N..."] + end + + subgraph TitleGen["Title Generation"] + T1["Extract .title from each TitleSummary"] + T2["Concatenate: '- Q1 Budget\n- Product Launch\n...'"] + T3["LLM: TITLE_PROMPT\n'Generate concise title from topic titles'"] + T4["Output: FinalTitle"] + + T1 --> T2 --> T3 --> T4 + end + + subgraph SummaryGen["Summary Generation"] + direction TB + + subgraph Reconstruct["1. Reconstruct Full Transcript"] + S1["For each TitleSummary.transcript.as_segments()"] + S2["Map speaker ID → name"] + S3["Build: 'Alice: hello\nBob: hi\n...'"] + S1 --> S2 --> S3 + end + + subgraph Subjects["2. Extract Subjects - LLM call #1"] + S4["LLM: SUBJECTS_PROMPT\n'Main high-level topics? Max 6'"] + S5["subjects[] = ['Budget Review', ...]"] + S4 --> S5 + end + + subgraph DetailedSum["3. Per-Subject Summary - LLM calls #2 to #(1+2M)"] + S6["For each subject:"] + S7["LLM: DETAILED_SUBJECT_PROMPT\n'Info about subject: decisions, actions...'"] + S8["detailed_response - NOT STORED"] + S9["LLM: PARAGRAPH_SUMMARY_PROMPT\n'Summarize in 1 paragraph'"] + S10["paragraph → summaries[]"] + + S6 --> S7 --> S8 --> S9 --> S10 + end + + subgraph Recap["4. Generate Recap - LLM call #(2+2M)"] + S11["Concatenate paragraph summaries"] + S12["LLM: RECAP_PROMPT\n'High-level recap, 1 paragraph'"] + S13["recap"] + S11 --> S12 --> S13 + end + + subgraph Output["5. Output"] + S14["long_summary = markdown:\n# Quick recap\n[recap]\n# Summary\n**Subject 1**\n[para1]..."] + S15["short_summary = recap only"] + S14 --> S15 + end + + Reconstruct --> Subjects --> DetailedSum --> Recap --> Output + end + + Input --> TitleGen + Input --> SummaryGen +``` + +### topics[] vs subjects[] + +| | topics[] | subjects[] | +|-|----------|------------| +| **Source** | 300-word chunk splitting | LLM extraction from full text | +| **Count** | Variable (words / 300) | Max 6 | +| **Purpose** | Timeline segmentation | Summary structure | +| **Has timestamp?** | Yes | No | + +## External API Calls Summary + +### 1. Daily.co REST API (called during initialization) + +| Endpoint | Method | When | Purpose | +|----------|--------|------|---------| +| `GET /recordings/{recording_id}` | GET | After webhook | Get mtgSessionId for participant lookup | +| `GET /meetings/{mtgSessionId}/participants` | GET | After above | Map participant_id → user_name | + +### 2. GPU Service (Modal.com or Self-Hosted) + +| Endpoint | Method | Count | Request | +|----------|--------|-------|---------| +| `{TRANSCRIPT_URL}/v1/audio/transcriptions-from-url` | POST | **N** (N = num tracks) | `{audio_file_url, language, batch: true}` | + +**Note**: Diarization is NOT called for multitrack - speaker identification comes from separate tracks. + +### 3. LLM Service (OpenAI-compatible via LlamaIndex) + +| Phase | Operation | Input | LLM Calls | Output | +|-------|-----------|-------|-----------|--------| +| Topic Detection | TOPIC_PROMPT per 300-word chunk | words[i:i+300] | **C** = ceil(words/300) | TitleSummary{title, summary, timestamp} | +| Title Generation | TITLE_PROMPT | All topic titles joined | **1** | FinalTitle | +| Participant ID | PARTICIPANTS_PROMPT | Full transcript | **0-1** (skipped if known) | ParticipantsResponse | +| Subject Extraction | SUBJECTS_PROMPT | Full transcript | **1** | SubjectsResponse{subjects[]} | +| Subject Detail | DETAILED_SUBJECT_PROMPT | Full transcript + subject name | **M** (M = subjects, max 6) | detailed text (discarded) | +| Subject Paragraph | PARAGRAPH_SUMMARY_PROMPT | Detailed text | **M** | paragraph text → summaries[] | +| Recap | RECAP_PROMPT | All paragraph summaries | **1** | recap text | + +**Total LLM calls**: C + 2M + 3 (+ 1 if participants unknown) +- Short meeting (1000 words, 3 subjects): ~4 + 6 + 3 = **13 calls** +- Long meeting (5000 words, 6 subjects): ~17 + 12 + 3 = **32 calls** + +## S3 Operations Summary + +### Source Bucket: `DAILYCO_STORAGE_AWS_BUCKET_NAME` +Daily.co uploads raw-tracks recordings here. + +| Operation | Key Pattern | When | +|-----------|-------------|------| +| **READ** (presign) | `{domain}/{room_name}/{ts}/{participant_id}-cam-audio-{ts}.webm` | Track acquisition | +| **DELETE** | Same as above | Consent denied cleanup | + +### Transcript Storage Bucket: `TRANSCRIPT_STORAGE_AWS_BUCKET_NAME` +Reflector's own storage. + +| Operation | Key Pattern | When | +|-----------|-------------|------| +| **PUT** | `file_pipeline/{transcript_id}/tracks/padded_{idx}.webm` | After track padding | +| **READ** (presign) | Same | For GPU transcription | +| **DELETE** | Same | After transcription complete | +| **PUT** | `{transcript_id}/audio.mp3` | After mixdown | +| **DELETE** | Same | Consent denied cleanup | + +## Database Operations + +### Tables Written + +| Table | Operation | When | +|-------|-----------|------| +| `recording` | INSERT | Initialization | +| `transcript` | INSERT | Initialization | +| `transcript` | UPDATE (participants) | After Daily API participant fetch | +| `transcript` | UPDATE (status, events, duration, topics, title, summaries, etc.) | Throughout pipeline | + +### Transcript Update Sequence + +``` +1. INSERT: id, name, status='idle', source_kind='room', user_id, recording_id, room_id, meeting_id +2. UPDATE: participants[] (speaker index → participant name mapping) +3. UPDATE: status='processing', events+=[{event:'STATUS', data:{value:'processing'}}] +4. UPDATE: duration=X, events+=[{event:'DURATION', data:{duration:X}}] +5. UPDATE: audio_location='storage' +6. UPDATE: events+=[{event:'WAVEFORM', data:{waveform:[...]}}] +7. UPDATE: events+=[{event:'TRANSCRIPT', data:{text, translation}}] +8. UPDATE: topics[]+=topic, events+=[{event:'TOPIC'}] -- repeated per chunk +9. UPDATE: title=X, events+=[{event:'FINAL_TITLE'}] +10. UPDATE: long_summary=X, events+=[{event:'FINAL_LONG_SUMMARY'}] +11. UPDATE: short_summary=X, events+=[{event:'FINAL_SHORT_SUMMARY'}] +12. UPDATE: status='ended', events+=[{event:'STATUS', data:{value:'ended'}}] +13. UPDATE: zulip_message_id=X -- if Zulip enabled +14. UPDATE: audio_deleted=true -- if consent denied +``` + +## WebSocket Events + +All broadcast to room `ts:{transcript_id}`: + +| Event | Payload | Trigger | +|-------|---------|---------| +| STATUS | `{value: "processing"\|"ended"\|"error"}` | Status transitions | +| DURATION | `{duration: float}` | After audio processing | +| WAVEFORM | `{waveform: float[]}` | After waveform generation | +| TRANSCRIPT | `{text: string, translation: string\|null}` | After transcription merge | +| TOPIC | `{id, title, summary, timestamp, duration, transcript, words}` | Per topic detected | +| FINAL_TITLE | `{title: string}` | After LLM title generation | +| FINAL_LONG_SUMMARY | `{long_summary: string}` | After LLM summary | +| FINAL_SHORT_SUMMARY | `{short_summary: string}` | After LLM recap | + +User-room broadcasts to `user:{user_id}`: +- `TRANSCRIPT_STATUS` +- `TRANSCRIPT_FINAL_TITLE` +- `TRANSCRIPT_DURATION` diff --git a/server/reflector/settings.py b/server/reflector/settings.py index 8b79a1c5..0057479d 100644 --- a/server/reflector/settings.py +++ b/server/reflector/settings.py @@ -30,7 +30,9 @@ class Settings(BaseSettings): AUDIO_CHUNKER_BACKEND: str = "frames" # Audio Transcription - # backends: whisper, modal + # backends: + # - whisper: in-process model loading (no HTTP, runs in same process) + # - modal: HTTP API client (works with Modal.com OR self-hosted gpu/self_hosted/) TRANSCRIPT_BACKEND: str = "whisper" TRANSCRIPT_URL: str | None = None TRANSCRIPT_TIMEOUT: int = 90 @@ -82,6 +84,9 @@ class Settings(BaseSettings): ) # Diarization + # backends: + # - pyannote: in-process model loading (no HTTP, runs in same process) + # - modal: HTTP API client (works with Modal.com OR self-hosted gpu/self_hosted/) DIARIZATION_ENABLED: bool = True DIARIZATION_BACKEND: str = "modal" DIARIZATION_URL: str | None = None