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# π¦ Embedded Assets for CUGA
This document explains how to use embedded assets to create a standalone CUGA server without requiring external frontend files.
## π― Overview
CUGA can embed both the frontend (`dist` folder) and Chrome extension (`chrome-mv3` folder) as compressed base64 data directly in the Python code. This eliminates the need to distribute hundreds of separate files and creates a more portable application.
## π Quick Start
### Build with Embedded Assets
```bash
# Build and embed assets in one command
uv run scripts/build_embedded.py
```
This will:
1. π¦ Build the frontend (`frontend-workspaces/frontend/dist`)
2. π§ Build the extension (`frontend-workspaces/extension/releases/chrome-mv3`)
3. π Embed both as base64 data in `cuga/backend/server/embedded_assets.py`
### Run with Embedded Assets
```bash
# Enable embedded assets (disabled by default)
export USE_EMBEDDED_ASSETS=true
uv run cuga/backend/server/main.py
# Or run with embedded assets enabled in one command
USE_EMBEDDED_ASSETS=true uv run cuga/backend/server/main.py
# Run with file system assets (default behavior)
uv run cuga/backend/server/main.py
```
## π File Structure
```
cuga/
βββ backend/server/
β βββ main.py # Server with embedded assets support
β βββ embedded_assets.py # Generated file with embedded data
scripts/
βββ embed_assets.py # Script to embed assets
βββ build_embedded.py # Complete build + embed workflow
```
## π§ How It Works
### 1. Feature Flag Control
- Embedded assets are **disabled by default**
- Controlled by `USE_EMBEDDED_ASSETS` environment variable
- Accepts: `true`, `1`, `yes`, `on` (case-insensitive)
### 2. Asset Compression
- Frontend and extension folders are compressed into ZIP archives
- ZIP data is encoded as base64 strings
- Base64 strings are embedded in Python code
### 3. Runtime Extraction
- When enabled, assets are extracted to temporary directory
- Server uses extracted assets instead of file system paths
- Temporary files are cleaned up on shutdown
### 4. Fallback Support
- If embedded assets fail, falls back to file system paths
- Graceful degradation ensures compatibility
## π Size Comparison
| Component | Original Size | Compressed Size | Compression Ratio |
|-----------|---------------|-----------------|-------------------|
| Frontend | ~44 MB | ~9.4 MB | 78% reduction |
| Extension | ~12 MB | ~7.7 MB | 36% reduction |
| **Total** | **~56 MB** | **~17 MB** | **70% reduction** |
## π οΈ Manual Usage
### Embed Assets Only
```bash
# Just embed existing built assets
uv run scripts/embed_assets.py
```
### Build Assets Only
```bash
# Build frontend
cd frontend-workspaces
pnpm --filter "@carbon/ai-chat-examples-web-components-basic" run build
# Build extension
pnpm --filter extension run release
```
## π Advanced Configuration
### Environment Variables
| Variable | Default | Description |
|----------|---------|-------------|
| `USE_EMBEDDED_ASSETS` | `false` | Enable embedded assets. Accepts: `true`, `1`, `yes`, `on` |
```bash
# Examples of enabling embedded assets
export USE_EMBEDDED_ASSETS=true
export USE_EMBEDDED_ASSETS=1
export USE_EMBEDDED_ASSETS=yes
export USE_EMBEDDED_ASSETS=on
# Examples of disabling (default)
export USE_EMBEDDED_ASSETS=false
export USE_EMBEDDED_ASSETS=0
export USE_EMBEDDED_ASSETS=no
export USE_EMBEDDED_ASSETS=off
# Or simply don't set the variable
```
### Custom Asset Paths
The `embedded_assets.py` file can be customized to change extraction behavior:
```python
# Extract to specific directory
embedded_assets.temp_dir = Path("/custom/path")
frontend_path, extension_path = embedded_assets.extract_assets()
```
### Compression Settings
Modify `scripts/embed_assets.py` to change compression:
```python
# Change compression level
with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED, compresslevel=9) as zip_file:
```
## π Distribution Options
### Option 1: Python Package with Embedded Assets
- Single Python package
- Assets embedded as base64 data
- ~23MB total size
- No external files needed
### Option 2: Standalone Executable (Future)
```bash
# Build standalone executable (requires PyInstaller)
uv run scripts/build_standalone.py
```
## π§Ή Cleanup
Embedded assets are automatically cleaned up when the server shuts down. For manual cleanup:
```python
from cuga.backend.server.embedded_assets import embedded_assets
embedded_assets.cleanup()
```
## π Troubleshooting
### Assets Not Found
```
β οΈ Embedded assets not found, falling back to file system
```
**Solution**: Run `uv run scripts/build_embedded.py` to generate embedded assets.
### Extraction Failed
```
β Failed to extract embedded assets: [error]
```
**Solution**: Check disk space and permissions in temp directory.
### Large Memory Usage
The embedded base64 data is loaded into memory. For production deployments with memory constraints, consider using file system assets instead.
## π Benefits
β
**Simplified Distribution**: Single file deployment
β
**Reduced File Count**: From hundreds of files to one
β
**Better Compression**: 70% size reduction
β
**Faster Startup**: No file system scanning
β
**Portable**: Works without external dependencies
## β οΈ Considerations
β οΈ **Memory Usage**: Assets loaded into memory
β οΈ **Build Time**: Longer initial build process
β οΈ **Development**: Requires rebuild after frontend changes
## π Development Workflow
For development, you can switch between embedded and file system assets:
```python
# Force file system assets (for development)
USE_EMBEDDED_ASSETS = False
```
For production builds:
```bash
# Always build fresh embedded assets
uv run scripts/build_embedded.py
```
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