233 lines
6.7 KiB
Markdown
233 lines
6.7 KiB
Markdown
# Database Migration System - Clean & Organized
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## Overview
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This document explains the new clean database migration system that resolves the issues with unwanted tables and duplicate table creation.
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## Problems Solved
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### ❌ Previous Issues
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- **Duplicate tables**: Multiple services creating the same tables (`users`, `user_projects`, etc.)
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- **Unwanted tables**: Tech-stack-selector creating massive schema with 100+ tables
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- **Inconsistent migrations**: Some services using `DROP TABLE`, others using `CREATE TABLE IF NOT EXISTS`
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- **Missing shared-schemas**: Migration script referenced non-existent service
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- **AI-mockup-service duplication**: Creating same tables as user-auth service
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### ✅ Solutions Implemented
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1. **Clean Database Reset**: Complete schema reset before applying migrations
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2. **Proper Migration Order**: Core schema first, then service-specific tables
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3. **Minimal Service Schemas**: Each service only creates tables it actually needs
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4. **Consistent Approach**: All services use `CREATE TABLE IF NOT EXISTS`
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5. **Migration Tracking**: Proper tracking of applied migrations
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## Migration System Architecture
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### 1. Core Schema (databases/scripts/schemas.sql)
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**Tables Created:**
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- `projects` - Main project tracking
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- `tech_stack_decisions` - Technology choices per project
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- `system_architectures` - Architecture designs
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- `code_generations` - Generated code tracking
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- `test_results` - Test execution results
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- `deployment_logs` - Deployment tracking
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- `service_health` - Service monitoring
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- `project_state_transitions` - Audit trail
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### 2. Service-Specific Tables
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#### User Authentication Service (`user-auth`)
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**Tables Created:**
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- `users` - User accounts
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- `refresh_tokens` - JWT refresh tokens
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- `user_sessions` - User session tracking
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- `user_feature_preferences` - Feature customization
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- `user_projects` - User project tracking
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#### Template Manager Service (`template-manager`)
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**Tables Created:**
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- `templates` - Template definitions
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- `template_features` - Feature definitions
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- `feature_usage` - Usage tracking
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- `custom_features` - User-created features
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#### Requirement Processor Service (`requirement-processor`)
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**Tables Created:**
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- `business_context_responses` - Business context data
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- `question_templates` - Reusable question sets
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#### Git Integration Service (`git-integration`)
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**Tables Created:**
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- `github_repositories` - Repository tracking
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- `github_user_tokens` - OAuth tokens
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- `repository_storage` - Local storage tracking
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- `repository_directories` - Directory structure
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- `repository_files` - File tracking
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#### AI Mockup Service (`ai-mockup-service`)
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**Tables Created:**
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- `wireframes` - Wireframe data
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- `wireframe_versions` - Version tracking
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- `wireframe_elements` - Element analysis
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#### Tech Stack Selector Service (`tech-stack-selector`)
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**Tables Created:**
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- `tech_stack_recommendations` - AI recommendations
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- `stack_analysis_cache` - Analysis caching
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## How to Use
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### Clean Database Migration
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```bash
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cd /home/tech4biz/Desktop/Projectsnew/CODENUK1/codenuk-backend-live
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# Run the clean migration script
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./scripts/migrate-clean.sh
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```
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### Start Services with Clean Database
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```bash
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# Start all services with clean migrations
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docker-compose up --build
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# Or start specific services
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docker-compose up postgres redis migrations
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```
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### Manual Database Cleanup (if needed)
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```bash
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# Run the cleanup script to remove unwanted tables
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./scripts/cleanup-database.sh
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```
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## Migration Process
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### Step 1: Database Cleanup
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- Drops all existing tables
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- Recreates public schema
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- Re-enables required extensions
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- Creates migration tracking table
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### Step 2: Core Schema Application
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- Applies `databases/scripts/schemas.sql`
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- Creates core pipeline tables
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- Marks as applied in migration tracking
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### Step 3: Service Migrations
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- Runs migrations in dependency order:
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1. `user-auth` (user tables first)
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2. `template-manager` (template tables)
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3. `requirement-processor` (business context)
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4. `git-integration` (repository tracking)
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5. `ai-mockup-service` (wireframe tables)
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6. `tech-stack-selector` (recommendation tables)
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### Step 4: Verification
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- Lists all created tables
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- Shows applied migrations
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- Confirms successful completion
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## Service Migration Scripts
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### Node.js Services
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- `user-auth`: `npm run migrate`
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- `template-manager`: `npm run migrate`
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- `git-integration`: `npm run migrate`
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### Python Services
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- `ai-mockup-service`: `python3 src/migrations/migrate.py`
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- `tech-stack-selector`: `python3 migrate.py`
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- `requirement-processor`: `python3 migrations/migrate.py`
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## Expected Final Tables
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After running the clean migration, you should see these tables:
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### Core Tables (8)
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- `projects`
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- `tech_stack_decisions`
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- `system_architectures`
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- `code_generations`
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- `test_results`
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- `deployment_logs`
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- `service_health`
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- `project_state_transitions`
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### User Auth Tables (5)
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- `users`
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- `refresh_tokens`
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- `user_sessions`
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- `user_feature_preferences`
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- `user_projects`
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### Template Manager Tables (4)
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- `templates`
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- `template_features`
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- `feature_usage`
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- `custom_features`
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### Requirement Processor Tables (2)
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- `business_context_responses`
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- `question_templates`
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### Git Integration Tables (5)
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- `github_repositories`
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- `github_user_tokens`
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- `repository_storage`
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- `repository_directories`
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- `repository_files`
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### AI Mockup Tables (3)
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- `wireframes`
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- `wireframe_versions`
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- `wireframe_elements`
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### Tech Stack Selector Tables (2)
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- `tech_stack_recommendations`
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- `stack_analysis_cache`
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### System Tables (1)
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- `schema_migrations`
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**Total: 29 tables** (vs 100+ previously)
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## Troubleshooting
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### If Migration Fails
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1. Check database connection parameters
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2. Ensure all required extensions are available
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3. Verify service directories exist
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4. Check migration script permissions
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### If Unwanted Tables Appear
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1. Run `./scripts/cleanup-database.sh`
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2. Restart with `docker-compose up --build`
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3. Check service migration scripts for DROP statements
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### If Services Don't Start
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1. Check migration dependencies in docker-compose.yml
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2. Verify migration script completed successfully
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3. Check service logs for database connection issues
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## Benefits
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✅ **Clean Database**: Only necessary tables created
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✅ **No Duplicates**: Each table created by one service only
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✅ **Proper Dependencies**: Tables created in correct order
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✅ **Production Safe**: Uses `CREATE TABLE IF NOT EXISTS`
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✅ **Trackable**: All migrations tracked and logged
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✅ **Maintainable**: Clear separation of concerns
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✅ **Scalable**: Easy to add new services
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## Next Steps
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1. **Test the migration**: Run `./scripts/migrate-clean.sh`
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2. **Start services**: Run `docker-compose up --build`
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3. **Verify tables**: Check pgAdmin for clean table list
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4. **Monitor logs**: Ensure all services start successfully
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The database is now clean, organized, and ready for production use!
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