DEPLOYMENT_GUIDE.md

🚀 MongoDB Logging Deployment Guide for Hugging Face Spaces

✅ What's Ready for Deployment

📁 Files Added/Modified:

• ✅ mongodb_logging.py - Custom MongoDB logging handler
• ✅ server.py - Updated with MongoDB logging integration
• ✅ requirements.txt - Already includes pymongo[srv]

🔧 New API Endpoints:

• GET /logs - View all logs (metadata + application logs)
• GET /logs/stats - View logging statistics
• GET /logs/clear?days_older_than=7 - Clear old logs

🌐 Hugging Face Spaces Deployment Steps

1. Set Environment Variables in Hugging Face Spaces

Go to your Space settings and add these environment variables:

MONGO_URI=mongodb+srv://harilogicgo_db_user:SSbZ55jNUsVerWKI@hairswapdb.7r2ghs4.mongodb.net/?retryWrites=true&w=majority&appName=HairSwapDB

2. Push Changes to Hugging Face

# Add all changes
git add .

# Commit changes
git commit -m "feat: add MongoDB logging for all application logs

- Add mongodb_logging.py with custom logging handler
- Update server.py to integrate MongoDB logging
- Add new endpoints: /logs, /logs/stats, /logs/clear
- All application logs now stored in MongoDB HairSwapDB.logs collection"

# Push to Hugging Face
git push origin main

3. Verify Deployment

After deployment, test these endpoints:

1. Health Check: GET /health
2. View Logs: GET /logs
3. Log Statistics: GET /logs/stats
4. Clear Old Logs: GET /logs/clear?days_older_than=7

📊 MongoDB Collections Structure

HairSwapDB.logs Collection:

{
  "_id": "ObjectId",
  "timestamp": "2025-09-27T12:30:45.123Z",
  "level": "INFO|WARNING|ERROR",
  "logger": "hair_server",
  "message": "Log message content",
  "module": "server",
  "function": "get_hairswap",
  "line": 168,
  "thread": 12345,
  "process": 6789,
  "exception": "Exception traceback (if error)"
}

HairSwapDB.uploads Collection:

{
  "_id": "image-uuid",
  "filename": "image.png",
  "path": "/data/uploads/image-uuid.png"
}

HairSwapDB.results Collection:

{
  "_id": "result-uuid",
  "filename": "result.png",
  "path": "/data/results/result-uuid.png",
  "source_id": "source-uuid",
  "reference_id": "reference-uuid"
}

🔍 Testing the Deployment

1. Test Log Generation:

# Upload an image
curl -X POST "https://your-space-url/upload" \
  -F "image=@test_image.jpg"

# Perform hair swap
curl -X POST "https://your-space-url/get-hairswap" \
  -H "Content-Type: application/json" \
  -d '{"source_id": "source-uuid", "reference_id": "reference-uuid"}'

2. Check Logs:

# View all logs
curl "https://your-space-url/logs"

# View log statistics
curl "https://your-space-url/logs/stats"

# Clear logs older than 7 days
curl "https://your-space-url/logs/clear?days_older_than=7"

🎯 What Gets Logged

✅ Application Logs (NEW):

• Model loading messages
• Hair transfer progress
• Error messages and stack traces
• API request/response logs
• System status messages

✅ Metadata Logs (EXISTING):

• Image uploads
• Hair swap results
• File paths and IDs

🚨 Important Notes

1. MongoDB Connection: Make sure MONGO_URI is set in Space environment variables
2. Log Rotation: Use /logs/clear endpoint to manage log storage
3. Performance: MongoDB logging is asynchronous and won't slow down the API
4. Fallback: If MongoDB fails, logs still go to console
5. Security: MongoDB URI contains credentials - keep it secure

🎉 Ready to Deploy!

Your MongoDB logging system is ready for Hugging Face Spaces deployment. All application logs will be automatically stored in MongoDB and accessible via the new API endpoints.