# Production Readiness Checklist

## ✅ Initial Setup (Completed)

- [x] Modern package management with `uv`
- [x] Virtual environment created and configured
- [x] All dependencies installed
- [x] `pyproject.toml` with proper configuration
- [x] Development documentation created
- [x] VS Code workspace configured
- [x] Basic tests created and passing

## 🔄 Next Steps for Production Readiness

### 1. Code Quality & Testing
- [ ] Add comprehensive unit tests for all modules
- [ ] Add integration tests for database operations
- [ ] Set up code coverage target (aim for >80%)
- [ ] Add type hints to all functions and methods
- [ ] Run mypy and fix type checking issues
- [ ] Set up pre-commit hooks (already configured, needs activation)
- [ ] Add docstrings to all public functions and classes

### 2. Configuration Management
- [ ] Move hardcoded values to configuration files
- [ ] Add environment variable support
- [ ] Create config validation
- [ ] Add support for multiple environment profiles (dev, staging, prod)
- [ ] Secure credential handling (consider using keyring or secret managers)
- [ ] Add configuration schema validation

### 3. Error Handling & Logging
- [ ] Implement comprehensive error handling
- [ ] Add structured logging throughout the application
- [ ] Create error recovery mechanisms
- [ ] Add user-friendly error messages
- [ ] Implement logging levels (DEBUG, INFO, WARNING, ERROR)
- [ ] Add log rotation and management

### 4. Database Support
- [ ] Review and update Snowflake integration
- [ ] Add support for other databases (PostgreSQL, MySQL, etc.)
- [ ] Implement connection pooling
- [ ] Add transaction management
- [ ] Add retry logic for failed connections
- [ ] Implement timeout handling

### 5. Features & Functionality
- [ ] Review existing metadata extraction logic
- [ ] Add missing database object types if needed
- [ ] Improve comparison algorithm
- [ ] Add filtering and search capabilities
- [ ] Implement change tracking over time
- [ ] Add report generation in multiple formats (HTML, PDF, JSON)
- [ ] Create CLI interface with Typer

### 6. Performance
- [ ] Profile the application for bottlenecks
- [ ] Optimize database queries
- [ ] Implement caching where appropriate
- [ ] Add parallel processing for large datasets
- [ ] Optimize memory usage

### 7. Documentation
- [ ] Add comprehensive API documentation
- [ ] Create user guide
- [ ] Add architecture documentation
- [ ] Create workflow diagrams
- [ ] Add example use cases
- [ ] Document database schema
- [ ] Add troubleshooting guide

### 8. CI/CD
- [ ] Set up GitHub Actions workflow
- [ ] Add automated testing on push
- [ ] Add linting checks in CI
- [ ] Add type checking in CI
- [ ] Set up automated releases
- [ ] Add dependency vulnerability scanning
- [ ] Add code quality badges to README

### 9. Security
- [ ] Review and fix security vulnerabilities
- [ ] Implement secure credential storage
- [ ] Add input validation
- [ ] Sanitize SQL queries (prevent injection)
- [ ] Add rate limiting for API calls
- [ ] Review and update dependency versions
- [ ] Add security scanning to CI

### 10. Deployment
- [ ] Create Docker container
- [ ] Add docker-compose for easy setup
- [ ] Create deployment guide
- [ ] Add health check endpoints
- [ ] Implement graceful shutdown
- [ ] Add monitoring and alerting
- [ ] Create backup and recovery procedures

### 11. User Experience
- [ ] Create interactive CLI with progress bars
- [ ] Add verbose/quiet modes
- [ ] Improve output formatting
- [ ] Add summary statistics
- [ ] Create web UI (optional, future enhancement)

### 12. Maintenance
- [ ] Set up automated dependency updates (Dependabot)
- [ ] Create contribution guidelines
- [ ] Add issue templates
- [ ] Add pull request templates
- [ ] Set up changelog automation
- [ ] Create release process documentation

## Immediate Priorities

Focus on these first:

1. **Testing** - Add unit tests for core functionality
2. **Error Handling** - Improve error handling and logging
3. **Configuration** - Externalize configuration
4. **Documentation** - Document existing code
5. **CLI** - Create user-friendly command-line interface

## Commands to Run Before Production

```bash
# Run all tests
pytest -v --cov=schema_sentinel --cov-report=html

# Check code quality
ruff check .
ruff format --check .

# Type checking
mypy schema_sentinel/

# Security check
pip-audit  # Install with: uv pip install pip-audit

# Check for outdated dependencies
uv pip list --outdated
```

## Definition of "Production Ready"

The project will be considered production-ready when:

1. ✅ **Test Coverage**: >80% code coverage
2. ✅ **Documentation**: All public APIs documented
3. ✅ **Error Handling**: Comprehensive error handling with logging
4. ✅ **Security**: No known security vulnerabilities
5. ✅ **Performance**: Meets performance benchmarks
6. ✅ **CI/CD**: Automated testing and deployment
7. ✅ **Monitoring**: Logging and monitoring in place
8. ✅ **User Guide**: Complete user documentation

---

**Current Status**: Environment set up, basic structure in place, ready for development.
**Next Step**: Start adding tests and improving code quality.
