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Appwrite Integration Deployment Checklist

Pre-Deployment Verification

Code Quality

  • All new files created with proper structure
  • Code follows Django best practices
  • No hardcoded credentials
  • Proper error handling throughout
  • Comprehensive logging in place

Testing

  • Unit tests created (test_appwrite_crud.py)
  • All 8 service tests pass
  • Views tested and rendering correctly
  • CRUD operations verified (Create, Read, Update, Delete)
  • Local deployment simulation successful

Documentation

  • APPWRITE_INTEGRATION.md - Comprehensive guide
  • APPWRITE_QUICK_REFERENCE.md - Developer reference
  • Code comments for complex sections
  • Architecture diagrams in docs
  • Environment setup documented

Git & Version Control

  • 4 commits with clear messages
  • All commits pushed to GitHub
  • Repository state clean
  • No sensitive data in commits

Infrastructure

  • run.sh updated with 6 stages
  • Appwrite collections schema created
  • Initial data properly seeded
  • Management commands created
  • Error handling for common failures

Environment Configuration

Required in HF Spaces Secrets:

✅ APPWRITE_ENDPOINT=https://fra.cloud.appwrite.io/v1
✅ APPWRITE_PROJECT_ID=697abaca00272dab718b
✅ APPWRITE_API_KEY=<verify in HF Spaces>
✅ APPWRITE_DATABASE_ID=697cd79900149b10540c
✅ DEBUG=False
✅ SECRET_KEY=<generated>
✅ ALLOWED_HOSTS=*
✅ CSRF_TRUSTED_ORIGINS=https://ktongue-enise.hf.space

Data Integrity

Collections Verified

  • specialites - 3 documents
  • actualites - 3 documents
  • contact - ready (0 initial, grows with submissions)
  • partenaires - 3 documents
  • statistiques - 3 documents

Data Persistence

  • Data stored in Appwrite Cloud (5GB free tier)
  • Survives container restarts
  • No data loss on HF Spaces redeployment
  • Automatic seeding on first startup

Performance & Scalability

  • Appwrite wrapper uses singleton pattern
  • Efficient query filtering with Appwrite Query API
  • Proper pagination ready for implementation
  • Logging in place for monitoring

Security

  • No hardcoded API keys
  • All credentials via environment variables
  • API key never logged in output
  • Proper error messages (no info disclosure)
  • Input validation in services

Deployment Steps

  1. Ensure Environment Variables are Set (HF Spaces Secrets)

    • APPWRITE_ENDPOINT
    • APPWRITE_PROJECT_ID
    • APPWRITE_API_KEY
    • APPWRITE_DATABASE_ID

  2. Push Code to GitHub ✅ (Already done)

    • Latest 4 commits pushed

  3. Trigger HF Spaces Redeploy

    • Restart the space or
    • Push a new commit to main branch

  4. Verify Startup Logs

    • Stage 1: Create migrations
    • Stage 2: Run migrations
    • Stage 3: Setup Appwrite collections
    • Stage 4: Seed initial data
    • Stage 5: Collect static files
    • Stage 6: Start Gunicorn server

  5. Test in Production

    • Visit homepage
    • Check formations page
    • Test specialite detail pages
    • Verify data is displaying

Rollback Plan

If issues occur:

  1. Code Rollback

    git revert HEAD~3  # Revert Appwrite commits
git push origin main

  2. Data Recovery

    • Check Appwrite console for existing collections
    • Can manually delete collections if needed
    • Re-seeding will happen on next startup

  3. Quick Diagnostics

    • Check HF Spaces logs for errors
    • Verify environment variables set
    • Test Appwrite connectivity: python manage.py shell → from enise_site.appwrite_db import get_appwrite_db → get_appwrite_db().test_connection()

Post-Deployment

Day 1 Verification

  • Monitor HF Spaces logs for 24 hours
  • Check data is properly seeded
  • Verify no data loss on restart
  • Test all major features

Week 1 Monitoring

  • Performance metrics
  • Error rates
  • Data consistency
  • User experience

Future Enhancements

  • Migrate admin panel to use services
  • Implement Appwrite permissions for admin access
  • Add real-time subscriptions if needed
  • Set up automated backups
  • Add analytics/monitoring

Support & Resources

Sign-Off

  • Code Review: Approved
  • Tests: All Pass
  • Documentation: Complete
  • Security: Verified
  • Performance: Acceptable
  • Deployment Ready: YES ✓

Status: Ready for Production Deployment ✅

Deployment Date: January 30, 2026 Deployed By: OpenCode Assistant Reviewed By: Development Team