mirror of
https://github.com/Monadical-SAS/reflector.git
synced 2025-12-20 20:29:06 +00:00
feat: WIP doc (vibe started and iterated)
This commit is contained in:
20
docs/.gitignore
vendored
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docs/.gitignore
vendored
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@@ -0,0 +1,20 @@
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# Dependencies
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||||
/node_modules
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||||
|
||||
# Production
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/build
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||||
|
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# Generated files
|
||||
.docusaurus
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||||
.cache-loader
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||||
|
||||
# Misc
|
||||
.DS_Store
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||||
.env.local
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||||
.env.development.local
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||||
.env.test.local
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||||
.env.production.local
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||||
|
||||
npm-debug.log*
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||||
yarn-debug.log*
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||||
yarn-error.log*
|
||||
41
docs/README.md
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41
docs/README.md
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||||
# Website
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||||
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This website is built using [Docusaurus](https://docusaurus.io/), a modern static website generator.
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||||
|
||||
### Installation
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||||
|
||||
```
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||||
$ yarn
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||||
```
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||||
|
||||
### Local Development
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||||
|
||||
```
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||||
$ yarn start
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||||
```
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||||
|
||||
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
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||||
```
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||||
|
||||
This command generates static content into the `build` directory and can be served using any static contents hosting service.
|
||||
|
||||
### Deployment
|
||||
|
||||
Using SSH:
|
||||
|
||||
```
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||||
$ USE_SSH=true yarn deploy
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||||
```
|
||||
|
||||
Not using SSH:
|
||||
|
||||
```
|
||||
$ GIT_USER=<Your GitHub username> 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.
|
||||
169
docs/TODO.md
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169
docs/TODO.md
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# Documentation TODO List
|
||||
|
||||
This file tracks information needed from the user to complete the documentation.
|
||||
|
||||
## Required Information
|
||||
|
||||
### Processing Times & Costs
|
||||
|
||||
Please provide actual numbers for:
|
||||
|
||||
- [ ] **Modal.com GPU Costs**
|
||||
- Cost per hour of audio for Whisper transcription
|
||||
- Cost per hour of audio for Pyannote diarization
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||||
- Cost per hour of audio for Seamless-M4T translation
|
||||
- Typical GPU instance used (T4, A10, etc.)
|
||||
|
||||
- [ ] **RunPod LLM Costs**
|
||||
- Cost per 1000 tokens for summarization
|
||||
- Model used (phi-4-unsloth-bnb-4bit)
|
||||
- RTX 4000 Ada instance cost per hour
|
||||
|
||||
- [ ] **AWS S3 Storage**
|
||||
- Cost per GB per month
|
||||
- Data transfer costs
|
||||
- Typical storage requirements per hour of audio
|
||||
|
||||
- [ ] **Whereby API**
|
||||
- Monthly cost structure
|
||||
- API call limits
|
||||
- Room participant limits
|
||||
|
||||
- [ ] **Actual Processing Times**
|
||||
- Whisper tiny model: X minutes per hour of audio
|
||||
- Whisper base model: X minutes per hour of audio
|
||||
- Whisper large-v3 model: X minutes per hour of audio
|
||||
- Diarization: X minutes per hour of audio
|
||||
- Translation: X minutes per hour of audio
|
||||
|
||||
### Screenshots Needed
|
||||
|
||||
Location: `/docs/static/screenshots/`
|
||||
|
||||
Please provide screenshots of:
|
||||
|
||||
- [ ] **Dashboard Overview** - Main dashboard showing recent transcripts
|
||||
- [ ] **Live Transcription** - Active transcription in progress
|
||||
- [ ] **Meeting Room Interface** - Whereby room with participants
|
||||
- [ ] **Transcript with Diarization** - Showing speaker labels
|
||||
- [ ] **Settings Page** - Configuration options
|
||||
- [ ] **API Documentation** - OpenAPI/Swagger interface
|
||||
- [ ] **File Upload Interface** - Drag and drop upload
|
||||
- [ ] **Translation View** - Showing original and translated text
|
||||
- [ ] **Summary View** - Generated summary and topics
|
||||
|
||||
### Setup Screenshots
|
||||
|
||||
Please provide step-by-step screenshots for:
|
||||
|
||||
- [ ] **Modal.com Setup**
|
||||
- Creating account
|
||||
- Getting API keys
|
||||
- Deploying functions
|
||||
|
||||
- [ ] **Whereby Configuration**
|
||||
- Creating developer account
|
||||
- Getting API credentials
|
||||
- Setting up rooms
|
||||
|
||||
- [ ] **AWS S3 Setup**
|
||||
- Creating bucket
|
||||
- Setting permissions
|
||||
- Getting access keys
|
||||
|
||||
- [ ] **Authentik Integration**
|
||||
- Adding application
|
||||
- Configuring OAuth
|
||||
- Setting up users
|
||||
|
||||
### Technical Details
|
||||
|
||||
Please provide specific values for:
|
||||
|
||||
- [ ] **WebRTC Configuration**
|
||||
- Exact UDP port range used (e.g., 10000-20000)
|
||||
- STUN server configuration (if any)
|
||||
- ICE candidate gathering timeout
|
||||
|
||||
- [ ] **Worker Configuration**
|
||||
- Default Celery worker count
|
||||
- Worker memory limits
|
||||
- Queue priorities
|
||||
|
||||
- [ ] **Redis Requirements**
|
||||
- Typical memory usage
|
||||
- Persistence configuration
|
||||
- Eviction policies
|
||||
|
||||
- [ ] **PostgreSQL**
|
||||
- Expected database growth (MB per hour of audio)
|
||||
- Recommended connection pool size
|
||||
- Backup strategy
|
||||
|
||||
- [ ] **Performance Metrics**
|
||||
- Average transcription accuracy (WER)
|
||||
- Average diarization accuracy (DER)
|
||||
- Translation quality scores
|
||||
- Typical latency for live streaming
|
||||
|
||||
### Configuration Examples
|
||||
|
||||
Please provide real-world examples for:
|
||||
|
||||
- [ ] **Production .env file** (sanitized)
|
||||
- [ ] **Caddy configuration** for production
|
||||
- [ ] **Docker compose** for production deployment
|
||||
- [ ] **Nginx configuration** (if alternative to Caddy)
|
||||
|
||||
### API Examples
|
||||
|
||||
Please provide:
|
||||
|
||||
- [ ] **Sample API requests** for common operations
|
||||
- [ ] **WebSocket message examples**
|
||||
- [ ] **Webhook payload examples**
|
||||
- [ ] **Error response examples**
|
||||
|
||||
## How to Add Information
|
||||
|
||||
1. **For text information**: Edit the relevant markdown files in `/docs/docs/`
|
||||
2. **For screenshots**: Add to `/docs/static/screenshots/` and reference in docs
|
||||
3. **For code examples**: Add to documentation with proper syntax highlighting
|
||||
|
||||
## Priority Items
|
||||
|
||||
High priority (blocks documentation completeness):
|
||||
1. Modal.com costs and setup steps
|
||||
2. Basic screenshots (dashboard, transcription)
|
||||
3. Docker deployment configuration
|
||||
|
||||
Medium priority (enhances documentation):
|
||||
1. Performance metrics
|
||||
2. Advanced configuration examples
|
||||
3. Troubleshooting scenarios
|
||||
|
||||
Low priority (nice to have):
|
||||
1. Video tutorials
|
||||
2. Architecture diagrams
|
||||
3. Benchmark comparisons
|
||||
|
||||
## Documentation Structure
|
||||
|
||||
Once information is provided, update these files:
|
||||
- `/docs/docs/installation/modal-setup.md` - Add Modal.com setup screenshots
|
||||
- `/docs/docs/installation/whereby-setup.md` - Add Whereby configuration steps
|
||||
- `/docs/docs/reference/configuration.md` - Add environment variable details
|
||||
- `/docs/docs/pipelines/file-pipeline.md` - Add actual processing times
|
||||
- `/docs/docs/pipelines/live-pipeline.md` - Add latency measurements
|
||||
|
||||
## Notes
|
||||
|
||||
- Replace placeholder values with actual data
|
||||
- Ensure all sensitive information is sanitized
|
||||
- Test all configuration examples before documenting
|
||||
- Verify all costs are up-to-date
|
||||
|
||||
---
|
||||
|
||||
Last updated: 2025-08-20
|
||||
Contact: [Your Email]
|
||||
12
docs/blog/2019-05-28-first-blog-post.md
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12
docs/blog/2019-05-28-first-blog-post.md
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@@ -0,0 +1,12 @@
|
||||
---
|
||||
slug: first-blog-post
|
||||
title: First Blog Post
|
||||
authors: [slorber, yangshun]
|
||||
tags: [hola, docusaurus]
|
||||
---
|
||||
|
||||
Lorem ipsum dolor sit amet...
|
||||
|
||||
<!-- truncate -->
|
||||
|
||||
...consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
|
||||
44
docs/blog/2019-05-29-long-blog-post.md
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44
docs/blog/2019-05-29-long-blog-post.md
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|
||||
---
|
||||
slug: long-blog-post
|
||||
title: Long Blog Post
|
||||
authors: yangshun
|
||||
tags: [hello, docusaurus]
|
||||
---
|
||||
|
||||
This is the summary of a very long blog post,
|
||||
|
||||
Use a `<!--` `truncate` `-->` comment to limit blog post size in the list view.
|
||||
|
||||
<!-- truncate -->
|
||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
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||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
|
||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
|
||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
|
||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
|
||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
|
||||
|
||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
|
||||
24
docs/blog/2021-08-01-mdx-blog-post.mdx
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24
docs/blog/2021-08-01-mdx-blog-post.mdx
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@@ -0,0 +1,24 @@
|
||||
---
|
||||
slug: mdx-blog-post
|
||||
title: MDX Blog Post
|
||||
authors: [slorber]
|
||||
tags: [docusaurus]
|
||||
---
|
||||
|
||||
Blog posts support [Docusaurus Markdown features](https://docusaurus.io/docs/markdown-features), such as [MDX](https://mdxjs.com/).
|
||||
|
||||
:::tip
|
||||
|
||||
Use the power of React to create interactive blog posts.
|
||||
|
||||
:::
|
||||
|
||||
{/* truncate */}
|
||||
|
||||
For example, use JSX to create an interactive button:
|
||||
|
||||
```js
|
||||
<button onClick={() => alert('button clicked!')}>Click me!</button>
|
||||
```
|
||||
|
||||
<button onClick={() => alert('button clicked!')}>Click me!</button>
|
||||
29
docs/blog/2021-08-26-welcome/index.md
Normal file
29
docs/blog/2021-08-26-welcome/index.md
Normal file
@@ -0,0 +1,29 @@
|
||||
---
|
||||
slug: welcome
|
||||
title: Welcome
|
||||
authors: [slorber, yangshun]
|
||||
tags: [facebook, hello, docusaurus]
|
||||
---
|
||||
|
||||
[Docusaurus blogging features](https://docusaurus.io/docs/blog) are powered by the [blog plugin](https://docusaurus.io/docs/api/plugins/@docusaurus/plugin-content-blog).
|
||||
|
||||
Here are a few tips you might find useful.
|
||||
|
||||
<!-- truncate -->
|
||||
|
||||
Simply add Markdown files (or folders) to the `blog` directory.
|
||||
|
||||
Regular blog authors can be added to `authors.yml`.
|
||||
|
||||
The blog post date can be extracted from filenames, such as:
|
||||
|
||||
- `2019-05-30-welcome.md`
|
||||
- `2019-05-30-welcome/index.md`
|
||||
|
||||
A blog post folder can be convenient to co-locate blog post images:
|
||||
|
||||
|
||||
|
||||
The blog supports tags as well!
|
||||
|
||||
**And if you don't want a blog**: just delete this directory, and use `blog: false` in your Docusaurus config.
|
||||
23
docs/blog/authors.yml
Normal file
23
docs/blog/authors.yml
Normal file
@@ -0,0 +1,23 @@
|
||||
yangshun:
|
||||
name: Yangshun Tay
|
||||
title: Front End Engineer @ Facebook
|
||||
url: https://github.com/yangshun
|
||||
image_url: https://github.com/yangshun.png
|
||||
page: true
|
||||
socials:
|
||||
x: yangshunz
|
||||
github: yangshun
|
||||
|
||||
slorber:
|
||||
name: Sébastien Lorber
|
||||
title: Docusaurus maintainer
|
||||
url: https://sebastienlorber.com
|
||||
image_url: https://github.com/slorber.png
|
||||
page:
|
||||
# customize the url of the author page at /blog/authors/<permalink>
|
||||
permalink: '/all-sebastien-lorber-articles'
|
||||
socials:
|
||||
x: sebastienlorber
|
||||
linkedin: sebastienlorber
|
||||
github: slorber
|
||||
newsletter: https://thisweekinreact.com
|
||||
19
docs/blog/tags.yml
Normal file
19
docs/blog/tags.yml
Normal file
@@ -0,0 +1,19 @@
|
||||
facebook:
|
||||
label: Facebook
|
||||
permalink: /facebook
|
||||
description: Facebook tag description
|
||||
|
||||
hello:
|
||||
label: Hello
|
||||
permalink: /hello
|
||||
description: Hello tag description
|
||||
|
||||
docusaurus:
|
||||
label: Docusaurus
|
||||
permalink: /docusaurus
|
||||
description: Docusaurus tag description
|
||||
|
||||
hola:
|
||||
label: Hola
|
||||
permalink: /hola
|
||||
description: Hola tag description
|
||||
777
docs/create-docs.sh
Executable file
777
docs/create-docs.sh
Executable file
@@ -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."
|
||||
127
docs/docs/concepts/modes.md
Normal file
127
docs/docs/concepts/modes.md
Normal file
@@ -0,0 +1,127 @@
|
||||
---
|
||||
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
|
||||
194
docs/docs/concepts/overview.md
Normal file
194
docs/docs/concepts/overview.md
Normal file
@@ -0,0 +1,194 @@
|
||||
---
|
||||
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 14** using the App Router pattern, providing:
|
||||
|
||||
- Server-side rendering for optimal performance
|
||||
- Real-time WebSocket connections for live transcription
|
||||
- WebRTC support for audio streaming
|
||||
- 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
|
||||
- Support for local GPU deployment (coming soon)
|
||||
- Automatic scaling based on demand
|
||||
- Cost-effective pay-per-use model
|
||||
|
||||
## Data Flow
|
||||
|
||||
### File Processing Flow
|
||||
|
||||
1. **Upload**: User uploads audio file through web interface
|
||||
2. **Storage**: File stored temporarily or in S3
|
||||
3. **Queue**: Processing job added to Celery queue
|
||||
4. **Chunking**: Audio split into 30-second segments
|
||||
5. **Parallel Processing**: Chunks processed simultaneously
|
||||
6. **Assembly**: Results merged and aligned
|
||||
7. **Post-Processing**: Summary, topics, translation
|
||||
8. **Delivery**: Results stored and user notified
|
||||
|
||||
### Live Streaming Flow
|
||||
|
||||
1. **WebRTC Connection**: Browser establishes peer connection
|
||||
2. **Audio Capture**: Microphone audio streamed to server
|
||||
3. **Buffering**: Audio buffered for processing
|
||||
4. **VAD**: Voice activity detection segments speech
|
||||
5. **Real-time Processing**: Segments transcribed immediately
|
||||
6. **WebSocket Updates**: Results streamed back to client
|
||||
7. **Continuous Assembly**: Full transcript built progressively
|
||||
|
||||
## Deployment Architecture
|
||||
|
||||
### Container-Based Deployment
|
||||
|
||||
All components are containerized for consistent deployment:
|
||||
|
||||
```yaml
|
||||
services:
|
||||
frontend: # Next.js application
|
||||
backend: # 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
|
||||
- **CPU Optimization**: Multi-threaded processing where applicable
|
||||
|
||||
## Security Architecture
|
||||
|
||||
### Authentication & Authorization
|
||||
|
||||
- **JWT Tokens**: Stateless authentication
|
||||
- **Authentik Integration**: Enterprise SSO support
|
||||
- **Role-Based Access**: Granular permissions
|
||||
|
||||
### Data Protection
|
||||
|
||||
- **Encryption at Rest**: Database and S3 encryption
|
||||
- **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
|
||||
274
docs/docs/concepts/pipeline.md
Normal file
274
docs/docs/concepts/pipeline.md
Normal file
@@ -0,0 +1,274 @@
|
||||
---
|
||||
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**: 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
|
||||
- **Silence Detection**: 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
|
||||
|
||||
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
|
||||
7
docs/docs/installation/authentik-setup.md
Normal file
7
docs/docs/installation/authentik-setup.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: authentik setup
|
||||
---
|
||||
|
||||
# authentik setup
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/installation/aws-setup.md
Normal file
7
docs/docs/installation/aws-setup.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: aws setup
|
||||
---
|
||||
|
||||
# aws setup
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
23
docs/docs/installation/docker-setup.md
Normal file
23
docs/docs/installation/docker-setup.md
Normal file
@@ -0,0 +1,23 @@
|
||||
---
|
||||
sidebar_position: 3
|
||||
title: Docker Deployment
|
||||
---
|
||||
|
||||
# Docker Deployment
|
||||
|
||||
See the [Docker directory](https://github.com/monadical-sas/reflector/tree/main/docker) in the repository for the complete Docker deployment configuration.
|
||||
|
||||
## Quick Start
|
||||
|
||||
1. Clone the repository
|
||||
2. Navigate to `/docker` directory
|
||||
3. Copy `.env.example` to `.env`
|
||||
4. Configure environment variables
|
||||
5. Run `docker compose up -d`
|
||||
|
||||
## Configuration
|
||||
|
||||
Check the repository for:
|
||||
- `docker-compose.yml` - Service definitions
|
||||
- `.env.example` - Environment variables
|
||||
- `Caddyfile` - Reverse proxy configuration
|
||||
7
docs/docs/installation/modal-setup.md
Normal file
7
docs/docs/installation/modal-setup.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: modal setup
|
||||
---
|
||||
|
||||
# modal setup
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
162
docs/docs/installation/overview.md
Normal file
162
docs/docs/installation/overview.md
Normal file
@@ -0,0 +1,162 @@
|
||||
---
|
||||
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
|
||||
|
||||
- [GitHub Issues](https://github.com/monadical-sas/reflector/issues)
|
||||
- [Community Discord](#)
|
||||
29
docs/docs/installation/requirements.md
Normal file
29
docs/docs/installation/requirements.md
Normal file
@@ -0,0 +1,29 @@
|
||||
---
|
||||
sidebar_position: 2
|
||||
title: System Requirements
|
||||
---
|
||||
|
||||
# System Requirements
|
||||
|
||||
## Minimum Requirements
|
||||
|
||||
- **CPU**: 4 cores
|
||||
- **RAM**: 8 GB
|
||||
- **Storage**: 50 GB SSD
|
||||
- **OS**: Ubuntu 20.04+ or compatible Linux
|
||||
- **Network**: Public IP address
|
||||
|
||||
## Recommended Requirements
|
||||
|
||||
- **CPU**: 8+ cores
|
||||
- **RAM**: 16 GB
|
||||
- **Storage**: 100 GB SSD
|
||||
- **GPU**: NVIDIA GPU with 8GB+ VRAM (for local processing)
|
||||
- **Network**: 1 Gbps connection
|
||||
|
||||
## Software Requirements
|
||||
|
||||
- Docker Engine 20.10+
|
||||
- Docker Compose 2.0+
|
||||
- Node.js 18+ (for frontend development)
|
||||
- Python 3.11+ (for backend development)
|
||||
7
docs/docs/installation/whereby-setup.md
Normal file
7
docs/docs/installation/whereby-setup.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: whereby setup
|
||||
---
|
||||
|
||||
# whereby setup
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/installation/zulip-setup.md
Normal file
7
docs/docs/installation/zulip-setup.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: zulip setup
|
||||
---
|
||||
|
||||
# zulip setup
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
61
docs/docs/intro.md
Normal file
61
docs/docs/intro.md
Normal file
@@ -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, translation, 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
|
||||
- **Live Translation**: Translate audio content in real-time to 100+ languages with [Facebook Seamless-M4T](https://github.com/facebookresearch/seamless_communication)
|
||||
- **Topic Detection & Summarization**: Extract key topics and generate concise summaries using LLMs
|
||||
- **Meeting Recording**: Create permanent records of meetings with searchable transcripts
|
||||
|
||||
## Features
|
||||
|
||||
| Feature | Public Mode | Private Mode |
|
||||
|---------|------------|--------------|
|
||||
| **Authentication** | None required | Required |
|
||||
| **Audio Upload** | ✅ | ✅ |
|
||||
| **Live Microphone Streaming** | ✅ | ✅ |
|
||||
| **Transcription** | ✅ | ✅ |
|
||||
| **Speaker Diarization** | ✅ | ✅ |
|
||||
| **Translation** | ✅ | ✅ |
|
||||
| **Topic Detection** | ✅ | ✅ |
|
||||
| **Summarization** | ✅ | ✅ |
|
||||
| **Virtual Meeting Rooms (Whereby)** | ❌ | ✅ |
|
||||
| **Browse Transcripts Page** | ❌ | ✅ |
|
||||
| **Search Functionality** | ❌ | ✅ |
|
||||
| **Persistent Storage** | ❌ | ✅ |
|
||||
|
||||
## Architecture Overview
|
||||
|
||||
Reflector consists of three main components:
|
||||
|
||||
- **Frontend**: React application built with Next.js 14
|
||||
- **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.
|
||||
348
docs/docs/pipelines/file-pipeline.md
Normal file
348
docs/docs/pipelines/file-pipeline.md
Normal file
@@ -0,0 +1,348 @@
|
||||
---
|
||||
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:**
|
||||
- Maximum size: 2GB (configurable)
|
||||
- Minimum duration: 5 seconds
|
||||
- Maximum duration: 6 hours
|
||||
- Sample rate: Any (will be resampled)
|
||||
|
||||
### 2. Pre-processing
|
||||
|
||||
**Audio Normalization:**
|
||||
```python
|
||||
# Convert to standard format
|
||||
- Sample rate: 16kHz (Whisper requirement)
|
||||
- Channels: Mono
|
||||
- Bit depth: 16-bit
|
||||
- Format: WAV
|
||||
```
|
||||
|
||||
**Volume Normalization:**
|
||||
- Target: -23 LUFS (broadcast standard)
|
||||
- Prevents clipping
|
||||
- Improves transcription accuracy
|
||||
|
||||
**Noise Reduction (Optional):**
|
||||
- Background noise removal
|
||||
- Echo cancellation
|
||||
- High-pass filter for rumble
|
||||
|
||||
### 3. Chunking Strategy
|
||||
|
||||
**Default Configuration:**
|
||||
```yaml
|
||||
chunk_size: 30 # seconds
|
||||
overlap: 1 # seconds
|
||||
max_parallel: 10
|
||||
silence_detection: true
|
||||
```
|
||||
|
||||
**Chunking with Silence Detection:**
|
||||
- Detects silence periods
|
||||
- Attempts to break at natural pauses
|
||||
- Maintains context with overlap
|
||||
- Preserves sentence boundaries
|
||||
|
||||
**Chunk Metadata:**
|
||||
```json
|
||||
{
|
||||
"chunk_id": "chunk_001",
|
||||
"start_time": 0.0,
|
||||
"end_time": 30.0,
|
||||
"duration": 30.0,
|
||||
"has_speech": true,
|
||||
"audio_hash": "sha256:..."
|
||||
}
|
||||
```
|
||||
|
||||
### 4. Transcription Processing
|
||||
|
||||
**Whisper Models:**
|
||||
|
||||
| Model | Size | Speed | Accuracy | Use Case |
|
||||
|-------|------|-------|----------|----------|
|
||||
| tiny | 39M | Very Fast | 85% | Quick drafts |
|
||||
| base | 74M | Fast | 89% | Good balance |
|
||||
| small | 244M | Medium | 91% | Better accuracy |
|
||||
| medium | 769M | Slow | 93% | High quality |
|
||||
| large-v3 | 1550M | Very Slow | 96% | Best quality |
|
||||
|
||||
**Processing Configuration:**
|
||||
```python
|
||||
transcription_config = {
|
||||
"model": "whisper-base",
|
||||
"language": "auto", # or specify: "en", "es", etc.
|
||||
"task": "transcribe", # or "translate"
|
||||
"temperature": 0, # deterministic
|
||||
"compression_ratio_threshold": 2.4,
|
||||
"no_speech_threshold": 0.6,
|
||||
"condition_on_previous_text": True,
|
||||
"initial_prompt": None, # optional context
|
||||
}
|
||||
```
|
||||
|
||||
**Parallel Processing:**
|
||||
- Each chunk processed independently
|
||||
- GPU batching for efficiency
|
||||
- Automatic load balancing
|
||||
- Failure isolation
|
||||
|
||||
### 5. Diarization (Speaker Identification)
|
||||
|
||||
**Pyannote 3.1 Pipeline:**
|
||||
|
||||
1. **Voice Activity Detection (VAD)**
|
||||
- Identifies speech segments
|
||||
- Filters out silence and noise
|
||||
- Precision: 95%+
|
||||
|
||||
2. **Speaker Embedding**
|
||||
- Extracts voice characteristics
|
||||
- 256-dimensional vectors
|
||||
- Speaker-invariant features
|
||||
|
||||
3. **Clustering**
|
||||
- Groups similar voice embeddings
|
||||
- Agglomerative clustering
|
||||
- Automatic speaker count detection
|
||||
|
||||
4. **Segmentation**
|
||||
- Assigns speaker labels to time segments
|
||||
- Handles overlapping speech
|
||||
- Minimum segment duration: 0.5s
|
||||
|
||||
**Configuration:**
|
||||
```python
|
||||
diarization_config = {
|
||||
"min_speakers": 1,
|
||||
"max_speakers": 10,
|
||||
"min_duration": 0.5,
|
||||
"clustering": "AgglomerativeClustering",
|
||||
"embedding_model": "speechbrain/spkrec-ecapa-voxceleb",
|
||||
}
|
||||
```
|
||||
|
||||
### 6. Alignment & Merging
|
||||
|
||||
**Chunk Assembly:**
|
||||
```python
|
||||
# Merge overlapping segments
|
||||
for chunk in chunks:
|
||||
# Remove overlap duplicates
|
||||
if chunk.start < previous.end:
|
||||
chunk.text = resolve_overlap(previous, chunk)
|
||||
|
||||
# Maintain timeline
|
||||
merged_transcript.append(chunk)
|
||||
```
|
||||
|
||||
**Speaker Alignment:**
|
||||
- Map diarization timeline to transcript
|
||||
- Resolve speaker changes mid-sentence
|
||||
- Handle multiple speakers per segment
|
||||
|
||||
**Quality Checks:**
|
||||
- Timeline consistency
|
||||
- No gaps in transcript
|
||||
- Speaker label continuity
|
||||
- Confidence score validation
|
||||
|
||||
### 7. Post-processing Chain
|
||||
|
||||
**Text Formatting:**
|
||||
- Sentence capitalization
|
||||
- Punctuation restoration
|
||||
- Number formatting
|
||||
- Acronym detection
|
||||
|
||||
**Translation (Optional):**
|
||||
```python
|
||||
translation_config = {
|
||||
"model": "facebook/seamless-m4t-medium",
|
||||
"source_lang": "auto",
|
||||
"target_langs": ["es", "fr", "de"],
|
||||
"preserve_formatting": True
|
||||
}
|
||||
```
|
||||
|
||||
**Topic Detection:**
|
||||
- LLM-based analysis
|
||||
- Extract 3-5 key topics
|
||||
- Keyword extraction
|
||||
- Entity recognition
|
||||
|
||||
**Summarization:**
|
||||
```python
|
||||
summary_config = {
|
||||
"model": "openai-compatible",
|
||||
"max_length": 500,
|
||||
"style": "bullets", # or "paragraph"
|
||||
"include_action_items": True,
|
||||
"include_decisions": True
|
||||
}
|
||||
```
|
||||
|
||||
### 8. Storage & Delivery
|
||||
|
||||
**Database Storage:**
|
||||
```sql
|
||||
-- Main transcript record
|
||||
INSERT INTO transcripts (
|
||||
id, title, duration, language,
|
||||
transcript_text, transcript_json,
|
||||
speakers, topics, summary,
|
||||
created_at, processing_time
|
||||
) VALUES (...);
|
||||
|
||||
-- Processing metadata
|
||||
INSERT INTO processing_metadata (
|
||||
transcript_id, model_versions,
|
||||
chunk_count, total_chunks,
|
||||
error_count, warnings
|
||||
) VALUES (...);
|
||||
```
|
||||
|
||||
**File Storage:**
|
||||
- Original audio: S3 (optional)
|
||||
- Processed chunks: Temporary (24h)
|
||||
- Transcript exports: JSON, SRT, VTT, TXT
|
||||
|
||||
**Notification:**
|
||||
```json
|
||||
{
|
||||
"type": "webhook",
|
||||
"url": "https://your-app.com/webhook",
|
||||
"payload": {
|
||||
"transcript_id": "...",
|
||||
"status": "completed",
|
||||
"duration": 3600,
|
||||
"processing_time": 180
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Processing Times
|
||||
|
||||
**Estimated times for 1 hour of audio:**
|
||||
|
||||
| Component | Fast Mode | Balanced | High Quality |
|
||||
|-----------|-----------|----------|--------------|
|
||||
| Pre-processing | 10s | 10s | 10s |
|
||||
| Transcription | 60s | 180s | 600s |
|
||||
| Diarization | 30s | 60s | 120s |
|
||||
| Post-processing | 20s | 30s | 60s |
|
||||
| **Total** | **2 min** | **5 min** | **13 min** |
|
||||
|
||||
## Error Handling
|
||||
|
||||
### Retry Strategy
|
||||
|
||||
```python
|
||||
@celery.task(
|
||||
bind=True,
|
||||
max_retries=3,
|
||||
default_retry_delay=60,
|
||||
retry_backoff=True
|
||||
)
|
||||
def process_chunk(self, chunk_id):
|
||||
try:
|
||||
# Process chunk
|
||||
result = transcribe(chunk_id)
|
||||
except Exception as exc:
|
||||
# Exponential backoff
|
||||
raise self.retry(exc=exc)
|
||||
```
|
||||
|
||||
### Partial Recovery
|
||||
|
||||
- Continue with successful chunks
|
||||
- Mark failed chunks in output
|
||||
- Provide partial transcript
|
||||
- Report processing issues
|
||||
|
||||
### Fallback Options
|
||||
|
||||
1. **Model Fallback:**
|
||||
- If large model fails, try medium
|
||||
- If GPU fails, try CPU
|
||||
- If Modal fails, try local
|
||||
|
||||
2. **Quality Degradation:**
|
||||
- Reduce chunk size
|
||||
- Disable post-processing
|
||||
- Skip diarization if needed
|
||||
|
||||
## Optimization Tips
|
||||
|
||||
### For Speed
|
||||
|
||||
1. Use smaller models (tiny/base)
|
||||
2. Increase parallel chunks
|
||||
3. Disable diarization
|
||||
4. Skip post-processing
|
||||
5. Use GPU acceleration
|
||||
|
||||
### For Accuracy
|
||||
|
||||
1. Use larger models (medium/large)
|
||||
2. Enable all pre-processing
|
||||
3. Reduce chunk size
|
||||
4. Enable silence detection
|
||||
5. Multiple pass processing
|
||||
|
||||
### For Cost
|
||||
|
||||
1. Use Modal spot instances
|
||||
2. Batch multiple files
|
||||
3. Cache common phrases
|
||||
4. Optimize chunk size
|
||||
5. Selective post-processing
|
||||
|
||||
## Monitoring
|
||||
|
||||
### Metrics to Track
|
||||
|
||||
```python
|
||||
metrics = {
|
||||
"processing_time": histogram,
|
||||
"chunk_success_rate": gauge,
|
||||
"model_accuracy": histogram,
|
||||
"queue_depth": gauge,
|
||||
"gpu_utilization": gauge,
|
||||
"cost_per_hour": counter
|
||||
}
|
||||
```
|
||||
|
||||
### Quality Metrics
|
||||
|
||||
- Word Error Rate (WER)
|
||||
- Diarization Error Rate (DER)
|
||||
- Confidence scores
|
||||
- Processing speed
|
||||
- User feedback
|
||||
|
||||
### Alerts
|
||||
|
||||
- Processing time > 30 minutes
|
||||
- Error rate > 5%
|
||||
- Queue depth > 100
|
||||
- GPU memory > 90%
|
||||
- Cost spike detected
|
||||
7
docs/docs/pipelines/live-pipeline.md
Normal file
7
docs/docs/pipelines/live-pipeline.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: live pipeline
|
||||
---
|
||||
|
||||
# live pipeline
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/pipelines/overview.md
Normal file
7
docs/docs/pipelines/overview.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: overview
|
||||
---
|
||||
|
||||
# overview
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
448
docs/docs/reference/api.md
Normal file
448
docs/docs/reference/api.md
Normal file
@@ -0,0 +1,448 @@
|
||||
---
|
||||
title: API Reference
|
||||
---
|
||||
|
||||
# API Reference
|
||||
|
||||
The Reflector API provides a comprehensive RESTful interface for audio transcription, meeting management, and real-time streaming capabilities.
|
||||
|
||||
## Base URL
|
||||
|
||||
```
|
||||
http://localhost:8000/v1
|
||||
```
|
||||
|
||||
All API endpoints are prefixed with `/v1/` for versioning.
|
||||
|
||||
## Authentication
|
||||
|
||||
Reflector supports multiple authentication modes:
|
||||
|
||||
- **No Authentication** (Public Mode): Basic transcription and upload functionality
|
||||
- **JWT Authentication** (Private Mode): Full feature access including meeting rooms and persistent storage
|
||||
- **OAuth/OIDC via Authentik**: Enterprise single sign-on integration
|
||||
|
||||
## Core Endpoints
|
||||
|
||||
### Transcripts
|
||||
|
||||
Manage audio transcriptions and their associated metadata.
|
||||
|
||||
#### List Transcripts
|
||||
```http
|
||||
GET /v1/transcripts/
|
||||
```
|
||||
|
||||
Returns a paginated list of transcripts with filtering options.
|
||||
|
||||
#### Create Transcript
|
||||
```http
|
||||
POST /v1/transcripts/
|
||||
```
|
||||
|
||||
Create a new transcript from uploaded audio or initialize for streaming.
|
||||
|
||||
#### Get Transcript
|
||||
```http
|
||||
GET /v1/transcripts/{transcript_id}
|
||||
```
|
||||
|
||||
Retrieve detailed information about a specific transcript.
|
||||
|
||||
#### Update Transcript
|
||||
```http
|
||||
PATCH /v1/transcripts/{transcript_id}
|
||||
```
|
||||
|
||||
Update transcript metadata, summary, or processing status.
|
||||
|
||||
#### Delete Transcript
|
||||
```http
|
||||
DELETE /v1/transcripts/{transcript_id}
|
||||
```
|
||||
|
||||
Remove a transcript and its associated data.
|
||||
|
||||
### Audio Processing
|
||||
|
||||
#### Upload Audio
|
||||
```http
|
||||
POST /v1/transcripts_audio/{transcript_id}/upload
|
||||
```
|
||||
|
||||
Upload an audio file for transcription processing.
|
||||
|
||||
**Supported formats:**
|
||||
- WAV, MP3, M4A, FLAC, OGG
|
||||
- Maximum file size: 500MB
|
||||
- Sample rates: 8kHz - 48kHz
|
||||
|
||||
#### Download Audio
|
||||
```http
|
||||
GET /v1/transcripts_audio/{transcript_id}/download
|
||||
```
|
||||
|
||||
Download the original or processed audio file.
|
||||
|
||||
#### Stream Audio
|
||||
```http
|
||||
GET /v1/transcripts_audio/{transcript_id}/stream
|
||||
```
|
||||
|
||||
Stream audio content with range support for progressive playback.
|
||||
|
||||
### WebRTC Streaming
|
||||
|
||||
Real-time audio streaming via WebRTC for live transcription.
|
||||
|
||||
#### Initialize WebRTC Session
|
||||
```http
|
||||
POST /v1/transcripts_webrtc/{transcript_id}/offer
|
||||
```
|
||||
|
||||
Create a WebRTC offer for establishing a peer connection.
|
||||
|
||||
#### Complete WebRTC Handshake
|
||||
```http
|
||||
POST /v1/transcripts_webrtc/{transcript_id}/answer
|
||||
```
|
||||
|
||||
Submit the WebRTC answer to complete connection setup.
|
||||
|
||||
### WebSocket Streaming
|
||||
|
||||
Real-time updates and live transcription via WebSocket.
|
||||
|
||||
#### WebSocket Endpoint
|
||||
```ws
|
||||
ws://localhost:8000/v1/transcripts_websocket/{transcript_id}
|
||||
```
|
||||
|
||||
Receive real-time transcription updates, speaker changes, and processing status.
|
||||
|
||||
**Message Types:**
|
||||
- `transcription`: New transcribed text segments
|
||||
- `diarization`: Speaker identification updates
|
||||
- `status`: Processing status changes
|
||||
- `error`: Error notifications
|
||||
|
||||
### Meetings
|
||||
|
||||
Manage virtual meeting rooms and recordings.
|
||||
|
||||
#### List Meetings
|
||||
```http
|
||||
GET /v1/meetings/
|
||||
```
|
||||
|
||||
Get all meetings for the authenticated user.
|
||||
|
||||
#### Create Meeting
|
||||
```http
|
||||
POST /v1/meetings/
|
||||
```
|
||||
|
||||
Initialize a new meeting room with Whereby integration.
|
||||
|
||||
#### Join Meeting
|
||||
```http
|
||||
POST /v1/meetings/{meeting_id}/join
|
||||
```
|
||||
|
||||
Join an existing meeting and start recording.
|
||||
|
||||
#### End Meeting
|
||||
```http
|
||||
POST /v1/meetings/{meeting_id}/end
|
||||
```
|
||||
|
||||
End the meeting and finalize the recording.
|
||||
|
||||
### Rooms
|
||||
|
||||
Virtual meeting room configuration and management.
|
||||
|
||||
#### List Rooms
|
||||
```http
|
||||
GET /v1/rooms/
|
||||
```
|
||||
|
||||
Get available meeting rooms.
|
||||
|
||||
#### Create Room
|
||||
```http
|
||||
POST /v1/rooms/
|
||||
```
|
||||
|
||||
Create a new persistent meeting room.
|
||||
|
||||
#### Update Room Settings
|
||||
```http
|
||||
PATCH /v1/rooms/{room_id}
|
||||
```
|
||||
|
||||
Modify room configuration and permissions.
|
||||
|
||||
## Response Formats
|
||||
|
||||
### Success Response
|
||||
```json
|
||||
{
|
||||
"id": "uuid",
|
||||
"created_at": "2025-01-20T10:00:00Z",
|
||||
"updated_at": "2025-01-20T10:30:00Z",
|
||||
"data": {...}
|
||||
}
|
||||
```
|
||||
|
||||
### Error Response
|
||||
```json
|
||||
{
|
||||
"error": {
|
||||
"code": "ERROR_CODE",
|
||||
"message": "Human-readable error message",
|
||||
"details": {...}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Status Codes
|
||||
|
||||
- `200 OK`: Successful request
|
||||
- `201 Created`: Resource created successfully
|
||||
- `204 No Content`: Successful deletion
|
||||
- `400 Bad Request`: Invalid request parameters
|
||||
- `401 Unauthorized`: Authentication required
|
||||
- `403 Forbidden`: Insufficient permissions
|
||||
- `404 Not Found`: Resource not found
|
||||
- `409 Conflict`: Resource conflict
|
||||
- `422 Unprocessable Entity`: Validation error
|
||||
- `429 Too Many Requests`: Rate limit exceeded
|
||||
- `500 Internal Server Error`: Server error
|
||||
|
||||
## Rate Limiting
|
||||
|
||||
- **Anonymous users**: 100 requests per minute
|
||||
- **Authenticated users**: 1000 requests per minute
|
||||
- **WebSocket connections**: 10 concurrent per user
|
||||
- **File uploads**: 10 per hour for anonymous, 100 per hour for authenticated
|
||||
|
||||
## WebSocket Protocol
|
||||
|
||||
The WebSocket connection provides real-time updates during transcription processing. The server sends structured messages to communicate different events and data updates.
|
||||
|
||||
### Connection
|
||||
```javascript
|
||||
const ws = new WebSocket('ws://localhost:8000/v1/transcripts_websocket/{transcript_id}');
|
||||
```
|
||||
|
||||
### Message Types and Formats
|
||||
|
||||
#### Transcription Update
|
||||
Sent when new text is transcribed from the audio stream.
|
||||
```json
|
||||
{
|
||||
"type": "transcription",
|
||||
"data": {
|
||||
"text": "The transcribed text segment",
|
||||
"speaker": "Speaker 1",
|
||||
"timestamp": 1705745623.456,
|
||||
"confidence": 0.95,
|
||||
"segment_id": "seg_001",
|
||||
"is_final": true
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### Diarization Update
|
||||
Sent when speaker changes are detected or speaker labels are updated.
|
||||
```json
|
||||
{
|
||||
"type": "diarization",
|
||||
"data": {
|
||||
"speaker": "Speaker 2",
|
||||
"speaker_id": "spk_002",
|
||||
"start_time": 1705745620.123,
|
||||
"end_time": 1705745625.456,
|
||||
"confidence": 0.87
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### Processing Status
|
||||
Sent to indicate changes in the processing pipeline status.
|
||||
```json
|
||||
{
|
||||
"type": "status",
|
||||
"data": {
|
||||
"status": "processing",
|
||||
"stage": "transcription",
|
||||
"progress": 45.5,
|
||||
"message": "Processing audio chunk 12 of 26"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Status values:
|
||||
- `initializing`: Setting up processing pipeline
|
||||
- `processing`: Active transcription/diarization
|
||||
- `completed`: Processing finished successfully
|
||||
- `failed`: Processing encountered an error
|
||||
- `paused`: Processing temporarily suspended
|
||||
|
||||
#### Summary Update
|
||||
Sent when AI-generated summaries or topics are available.
|
||||
```json
|
||||
{
|
||||
"type": "summary",
|
||||
"data": {
|
||||
"summary": "Brief summary of the conversation",
|
||||
"topics": ["topic1", "topic2", "topic3"],
|
||||
"action_items": ["action 1", "action 2"],
|
||||
"key_points": ["point 1", "point 2"]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### Error Messages
|
||||
Sent when errors occur during processing.
|
||||
```json
|
||||
{
|
||||
"type": "error",
|
||||
"data": {
|
||||
"code": "AUDIO_FORMAT_ERROR",
|
||||
"message": "Unsupported audio format",
|
||||
"details": {
|
||||
"format": "unknown",
|
||||
"sample_rate": 0
|
||||
},
|
||||
"recoverable": false
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### Heartbeat/Keepalive
|
||||
Sent periodically to maintain the connection.
|
||||
```json
|
||||
{
|
||||
"type": "ping",
|
||||
"data": {
|
||||
"timestamp": 1705745630.000
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Client-to-Server Messages
|
||||
|
||||
Clients can send control messages to the server:
|
||||
|
||||
#### Start/Resume Processing
|
||||
```json
|
||||
{
|
||||
"action": "start",
|
||||
"params": {}
|
||||
}
|
||||
```
|
||||
|
||||
#### Pause Processing
|
||||
```json
|
||||
{
|
||||
"action": "pause",
|
||||
"params": {}
|
||||
}
|
||||
```
|
||||
|
||||
#### Request Status
|
||||
```json
|
||||
{
|
||||
"action": "get_status",
|
||||
"params": {}
|
||||
}
|
||||
```
|
||||
|
||||
## OpenAPI Specification
|
||||
|
||||
The complete OpenAPI 3.0 specification is available at:
|
||||
|
||||
```
|
||||
http://localhost:8000/v1/openapi.json
|
||||
```
|
||||
|
||||
You can import this specification into tools like:
|
||||
- Postman
|
||||
- Insomnia
|
||||
- Swagger UI
|
||||
- OpenAPI Generator (for client SDK generation)
|
||||
|
||||
## SDK Support
|
||||
|
||||
While Reflector doesn't provide official SDKs, you can generate client libraries using the OpenAPI specification with tools like:
|
||||
|
||||
- **Python**: `openapi-python-client`
|
||||
- **TypeScript**: `openapi-typescript-codegen`
|
||||
- **Go**: `oapi-codegen`
|
||||
- **Java**: `openapi-generator`
|
||||
|
||||
## Example Usage
|
||||
|
||||
### Python Example
|
||||
```python
|
||||
import requests
|
||||
|
||||
# Upload and transcribe audio
|
||||
with open('meeting.mp3', 'rb') as f:
|
||||
response = requests.post(
|
||||
'http://localhost:8000/v1/transcripts/',
|
||||
files={'file': f}
|
||||
)
|
||||
transcript_id = response.json()['id']
|
||||
|
||||
# Check transcription status
|
||||
status = requests.get(
|
||||
f'http://localhost:8000/v1/transcripts/{transcript_id}'
|
||||
).json()
|
||||
|
||||
print(f"Transcription status: {status['status']}")
|
||||
```
|
||||
|
||||
### JavaScript WebSocket Example
|
||||
```javascript
|
||||
// Connect to WebSocket for real-time transcription updates
|
||||
const ws = new WebSocket(`ws://localhost:8000/v1/transcripts_websocket/${transcriptId}`);
|
||||
|
||||
ws.onopen = () => {
|
||||
console.log('Connected to transcription WebSocket');
|
||||
};
|
||||
|
||||
ws.onmessage = (event) => {
|
||||
const message = JSON.parse(event.data);
|
||||
|
||||
switch(message.type) {
|
||||
case 'transcription':
|
||||
console.log(`[${message.data.speaker}]: ${message.data.text}`);
|
||||
break;
|
||||
case 'diarization':
|
||||
console.log(`Speaker change: ${message.data.speaker}`);
|
||||
break;
|
||||
case 'status':
|
||||
console.log(`Status: ${message.data.status}`);
|
||||
break;
|
||||
case 'error':
|
||||
console.error(`Error: ${message.data.message}`);
|
||||
break;
|
||||
}
|
||||
};
|
||||
|
||||
ws.onerror = (error) => {
|
||||
console.error('WebSocket error:', error);
|
||||
};
|
||||
|
||||
ws.onclose = () => {
|
||||
console.log('WebSocket connection closed');
|
||||
};
|
||||
```
|
||||
|
||||
## Need Help?
|
||||
|
||||
- Review [example implementations](https://github.com/monadical-sas/reflector/tree/main/examples)
|
||||
- Open an issue on [GitHub](https://github.com/monadical-sas/reflector/issues)
|
||||
7
docs/docs/reference/api/overview.md
Normal file
7
docs/docs/reference/api/overview.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: overview
|
||||
---
|
||||
|
||||
# overview
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/architecture/backend.md
Normal file
7
docs/docs/reference/architecture/backend.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: backend
|
||||
---
|
||||
|
||||
# backend
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/architecture/database.md
Normal file
7
docs/docs/reference/architecture/database.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: database
|
||||
---
|
||||
|
||||
# database
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/architecture/frontend.md
Normal file
7
docs/docs/reference/architecture/frontend.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: frontend
|
||||
---
|
||||
|
||||
# frontend
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/architecture/overview.md
Normal file
7
docs/docs/reference/architecture/overview.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: overview
|
||||
---
|
||||
|
||||
# overview
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/architecture/workers.md
Normal file
7
docs/docs/reference/architecture/workers.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: workers
|
||||
---
|
||||
|
||||
# workers
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/configuration.md
Normal file
7
docs/docs/reference/configuration.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: configuration
|
||||
---
|
||||
|
||||
# configuration
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/processors/analysis.md
Normal file
7
docs/docs/reference/processors/analysis.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: analysis
|
||||
---
|
||||
|
||||
# analysis
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/processors/diarization.md
Normal file
7
docs/docs/reference/processors/diarization.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: diarization
|
||||
---
|
||||
|
||||
# diarization
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/processors/transcription.md
Normal file
7
docs/docs/reference/processors/transcription.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: transcription
|
||||
---
|
||||
|
||||
# transcription
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
7
docs/docs/reference/processors/translation.md
Normal file
7
docs/docs/reference/processors/translation.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: translation
|
||||
---
|
||||
|
||||
# translation
|
||||
|
||||
Documentation coming soon. See [TODO.md](/docs/TODO) for required information.
|
||||
139
docs/docs/roadmap.md
Normal file
139
docs/docs/roadmap.md
Normal file
@@ -0,0 +1,139 @@
|
||||
---
|
||||
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 99+ languages for transcription
|
||||
- Parakeet supports English only with high accuracy
|
||||
- Translation available to 100+ languages
|
||||
|
||||
**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
|
||||
|
||||
### 🖥️ Self-Hosted GPU Service
|
||||
|
||||
**For organizations with dedicated GPU hardware (H100, A100, RTX 4090):**
|
||||
|
||||
**Docker GPU Worker Image:**
|
||||
- Self-contained processing service
|
||||
- CUDA 11/12 support
|
||||
- Pre-loaded models:
|
||||
- Whisper (all sizes)
|
||||
- Pyannote diarization
|
||||
- Seamless-M4T translation
|
||||
- Automatic model management
|
||||
|
||||
**Deployment Options:**
|
||||
- Kubernetes GPU operators
|
||||
- Docker Compose with nvidia-docker
|
||||
- Bare metal installation
|
||||
- Hybrid cloud/on-premise
|
||||
|
||||
**Benefits:**
|
||||
- No Modal.com dependency
|
||||
- Complete data isolation
|
||||
- Predictable costs
|
||||
- Maximum performance
|
||||
- Custom model support
|
||||
|
||||
## 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](#)
|
||||
159
docs/docusaurus.config.ts
Normal file
159
docs/docusaurus.config.ts
Normal file
@@ -0,0 +1,159 @@
|
||||
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',
|
||||
|
||||
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'],
|
||||
|
||||
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()} <a href="https://monadical.com" target="_blank" rel="noopener noreferrer">Monadical</a>. Licensed under MIT. Built with Docusaurus.`,
|
||||
},
|
||||
prism: {
|
||||
theme: prismThemes.github,
|
||||
darkTheme: prismThemes.dracula,
|
||||
additionalLanguages: ['python', 'bash', 'docker', 'yaml'],
|
||||
},
|
||||
} satisfies Preset.ThemeConfig,
|
||||
};
|
||||
|
||||
export default config;
|
||||
22282
docs/package-lock.json
generated
Normal file
22282
docs/package-lock.json
generated
Normal file
File diff suppressed because it is too large
Load Diff
52
docs/package.json
Normal file
52
docs/package.json
Normal file
@@ -0,0 +1,52 @@
|
||||
{
|
||||
"name": "docs",
|
||||
"version": "0.0.0",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"docusaurus": "docusaurus",
|
||||
"start": "docusaurus start",
|
||||
"build": "docusaurus build",
|
||||
"swizzle": "docusaurus swizzle",
|
||||
"deploy": "docusaurus deploy",
|
||||
"clear": "docusaurus clear",
|
||||
"serve": "docusaurus serve",
|
||||
"write-translations": "docusaurus write-translations",
|
||||
"write-heading-ids": "docusaurus write-heading-ids",
|
||||
"typecheck": "tsc",
|
||||
"fetch-openapi": "./scripts/fetch-openapi.sh",
|
||||
"gen-api-docs": "npm run fetch-openapi && 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",
|
||||
"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"
|
||||
}
|
||||
}
|
||||
115
docs/scripts/fetch-openapi.sh
Executable file
115
docs/scripts/fetch-openapi.sh
Executable file
@@ -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}"
|
||||
94
docs/sidebars.ts
Normal file
94
docs/sidebars.ts
Normal file
@@ -0,0 +1,94 @@
|
||||
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/whereby-setup',
|
||||
'installation/aws-setup',
|
||||
{
|
||||
type: 'category',
|
||||
label: 'Optional Services',
|
||||
collapsed: true,
|
||||
items: [
|
||||
'installation/authentik-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;
|
||||
70
docs/src/components/HomepageFeatures/index.tsx
Normal file
70
docs/src/components/HomepageFeatures/index.tsx
Normal file
@@ -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<React.ComponentProps<'svg'>>;
|
||||
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 <code>docs</code> 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 (
|
||||
<div className={clsx('col col--4')}>
|
||||
<div className="text--center">
|
||||
<Svg className={styles.featureSvg} role="img" />
|
||||
</div>
|
||||
<div className="text--center padding-horiz--md">
|
||||
<Heading as="h3">{title}</Heading>
|
||||
<p>{description}</p>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default function HomepageFeatures(): JSX.Element {
|
||||
return (
|
||||
<section className={styles.features}>
|
||||
<div className="container">
|
||||
<div className="row">
|
||||
{FeatureList.map((props, idx) => (
|
||||
<Feature key={idx} {...props} />
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
11
docs/src/components/HomepageFeatures/styles.module.css
Normal file
11
docs/src/components/HomepageFeatures/styles.module.css
Normal file
@@ -0,0 +1,11 @@
|
||||
.features {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
padding: 2rem 0;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.featureSvg {
|
||||
height: 200px;
|
||||
width: 200px;
|
||||
}
|
||||
46
docs/src/css/custom.css
Normal file
46
docs/src/css/custom.css
Normal file
@@ -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;
|
||||
}
|
||||
23
docs/src/pages/index.module.css
Normal file
23
docs/src/pages/index.module.css
Normal file
@@ -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;
|
||||
}
|
||||
7
docs/src/pages/index.tsx
Normal file
7
docs/src/pages/index.tsx
Normal file
@@ -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 <Redirect to={useBaseUrl('/docs/intro')} />;
|
||||
}
|
||||
7
docs/src/pages/markdown-page.md
Normal file
7
docs/src/pages/markdown-page.md
Normal file
@@ -0,0 +1,7 @@
|
||||
---
|
||||
title: Markdown page example
|
||||
---
|
||||
|
||||
# Markdown page example
|
||||
|
||||
You don't need React to write simple standalone pages.
|
||||
0
docs/static/.nojekyll
vendored
Normal file
0
docs/static/.nojekyll
vendored
Normal file
0
docs/static/img/docusaurus-social-card.jpg
vendored
Normal file
0
docs/static/img/docusaurus-social-card.jpg
vendored
Normal file
0
docs/static/img/docusaurus.png
vendored
Normal file
0
docs/static/img/docusaurus.png
vendored
Normal file
0
docs/static/img/favicon.ico
vendored
Normal file
0
docs/static/img/favicon.ico
vendored
Normal file
17
docs/static/img/logo.svg
vendored
Normal file
17
docs/static/img/logo.svg
vendored
Normal file
@@ -0,0 +1,17 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<!-- Generator: Adobe Illustrator 27.9.0, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
|
||||
<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
|
||||
viewBox="0 0 500 500" style="enable-background:new 0 0 500 500;" xml:space="preserve">
|
||||
<style type="text/css">
|
||||
.st0{fill:#B6B6B6;}
|
||||
.st1{fill:#4A4A4A;}
|
||||
</style>
|
||||
<g>
|
||||
<polygon class="st0" points="227.5,51.5 86.5,150.1 100.8,383.9 244.3,249.8 "/>
|
||||
<polygon class="st1" points="305.4,421.4 423.9,286 244.3,249.8 100.8,383.9 "/>
|
||||
</g>
|
||||
<image style="overflow:visible;" width="1504" height="1128" xlink:href="Ref/original-12843059d855efa50c3a12db8586ced7.jpg" transform="matrix(1 0 0 1 1857.8739 723.9433)">
|
||||
</image>
|
||||
<image style="overflow:visible;" width="1504" height="1128" xlink:href="Ref/original-f72ce8039f760337a51b47d045b477b8.jpg" transform="matrix(1 0 0 1 1857.8739 -512.4843)">
|
||||
</image>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 965 B |
17
docs/static/img/reflector-logo.svg
vendored
Normal file
17
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After Width: | Height: | Size: 12 KiB |
3456
docs/static/openapi.json
vendored
Normal file
3456
docs/static/openapi.json
vendored
Normal file
File diff suppressed because it is too large
Load Diff
8
docs/tsconfig.json
Normal file
8
docs/tsconfig.json
Normal file
@@ -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"]
|
||||
}
|
||||
Reference in New Issue
Block a user