Church-Music/legacy-site/documentation/md-files/MONGODB_READY.md

🎯 MongoDB Migration - Ready to Deploy

✅ What's Been Completed

1. MongoDB Infrastructure Created

• ✅ mongodb_models.py - Complete MongoDB database layer
• ✅ Connection pooling configured (50 max, 10 min connections)
• ✅ Automatic indexes for optimal query performance
• ✅ Document schemas for Songs, Profiles, Plans, ProfileSongs, PlanSongs
• ✅ Helper classes for type safety and data validation

2. Migration Tools Ready

• ✅ migrate_to_mongodb.py - Full data migration script
• ✅ Migrates all 39 songs from SQLite
• ✅ Migrates all 5 profiles from SQLite
• ✅ Migrates all profile-song links from SQLite
• ✅ Includes data verification and detailed reporting
• ✅ Safe (doesn't modify original SQLite database)
• ✅ Idempotent (can run multiple times safely)

3. Configuration Files

• ✅ .env - Environment configuration with MongoDB URI
• ✅ .env.example - Template for configuration
• ✅ test_mongodb_connection.ps1 - Connection testing script

4. Dependencies Installed

• ✅ pymongo (4.15.4) - MongoDB Python driver
• ✅ dnspython (2.8.0) - DNS resolver for Atlas connections
• ✅ python-dotenv (1.2.1) - Environment variable management

5. Documentation Created

• ✅ MONGODB_MIGRATION_GUIDE.md - Complete migration overview
• ✅ MONGODB_ATLAS_SETUP.md - Step-by-step Atlas setup guide
• ✅ Setup instructions and troubleshooting tips

🎬 Your Next Step

You need to choose your MongoDB hosting:

Option A: MongoDB Atlas (Recommended)

For cross-device access (PC, mobile, tablet)

1. Sign up: https://www.mongodb.com/cloud/atlas/register

2. Create FREE M0 cluster (5 minutes setup)

3. Get connection string

4. Update backend/.env:

   MONGODB_URI=mongodb+srv://username:password@cluster.mongodb.net/
   MONGODB_DATABASE=church_songlyric
   

5. Test connection: .\backend\test_mongodb_connection.ps1

6. Run migration: .\backend\venv\Scripts\python.exe backend\migrate_to_mongodb.py

Detailed guide: Open MONGODB_ATLAS_SETUP.md

Option B: Local MongoDB

For PC-only access

1. Download: https://www.mongodb.com/try/download/community
2. Install MongoDB Community Server
3. Verify service running: Get-Service MongoDB
4. Default .env already configured for localhost
5. Test connection: .\backend\test_mongodb_connection.ps1
6. Run migration: .\backend\venv\Scripts\python.exe backend\migrate_to_mongodb.py

📊 Migration Preview

Your data to migrate:

• 📀 39 Songs (with lyrics, chords, artist info)
• 👤 5 Profiles (user accounts with settings)
• 🔗 5 Profile-Song links (custom keys per profile)
• 📅 0 Plans (worship setlists)

Migration process:

1. Connects to both SQLite and MongoDB
2. Reads all records from SQLite (non-destructive)
3. Creates MongoDB collections with indexes
4. Inserts documents into MongoDB
5. Verifies record counts match
6. Shows detailed report

Estimated time: < 1 minute

🚀 After Migration

Once migration completes successfully, I'll:

1. Update app.py to use MongoDB

   • Replace all SQLAlchemy queries with PyMongo
   • Maintain identical API responses
   • Keep all endpoints functioning the same

2. Test thoroughly

   • Verify all 16 API endpoints work
   • Test profile selection and song queries
   • Ensure frontend displays all data correctly

3. Cross-device testing

   • Verify PC can access data
   • Verify mobile can access data
   • Verify tablet can access data
   • Test real-time sync across devices

4. Clean up obsolete code

   • Remove models.py (SQLAlchemy)
   • Backup and remove app.db (SQLite)
   • Remove unused session management code
   • Update requirements.txt
   • Clean documentation

5. Performance optimization

   • Verify query performance
   • Monitor connection pool usage
   • Test under load

⚡ Quick Start Commands

Test MongoDB Connection

cd "E:\Documents\Website Projects\Church_SongLyric\backend"
.\test_mongodb_connection.ps1

Run Migration

cd "E:\Documents\Website Projects\Church_SongLyric\backend"
.\venv\Scripts\python.exe migrate_to_mongodb.py

Check Migration Results

After migration, verify data in:

• MongoDB Atlas: Dashboard → Clusters → Browse Collections
• Local MongoDB: MongoDB Compass (download from mongodb.com)

📋 Checklist

• Choose MongoDB option (Atlas or Local)
• Complete MongoDB setup
• Update backend/.env with connection string
• Test connection (test_mongodb_connection.ps1)
• Run migration (migrate_to_mongodb.py)
• Verify data in MongoDB
• Notify me - I'll update app.py for MongoDB
• Test all API endpoints
• Test cross-device access
• Clean up old SQLite code

❓ Need Help?

Question: "Which option should I choose?" Answer: MongoDB Atlas if you want mobile/tablet access. Local MongoDB if PC-only is acceptable.

Question: "Is my data safe?" Answer: Yes! Migration only reads from SQLite, never modifies it. Your original database is untouched.

Question: "What if something goes wrong?" Answer: Migration can be run multiple times. If it fails, your original data is still safe in SQLite.

Question: "How long will this take?" Answer:

• MongoDB Atlas setup: 5-10 minutes
• Local MongoDB install: 15-20 minutes
• Migration itself: < 1 minute
• Testing and cleanup: 10-15 minutes

🎯 Current Status

STATUS: ⏸️ WAITING FOR MONGODB SETUP

Once you complete MongoDB setup (Atlas or Local), let me know and I'll:

1. Help test the connection
2. Run the migration with you
3. Update the app to use MongoDB
4. Test everything works
5. Clean up old code

You're ready to proceed! Choose your MongoDB option and follow the setup guide. 🚀