# Production Readiness Checklist

This document outlines what needs to be done to productionalize the openground project.

## Critical (Must-Have for Production)

### 1. **Security Fixes**

#### SSL Verification
- **Issue**: `extract.py:149` disables SSL verification (`ssl=False`)
- **Fix**: Use proper SSL certificates or make it configurable with warnings
- **Risk**: Man-in-the-middle attacks, compromised data integrity

#### SQL Injection Prevention
- **Issue**: String interpolation in `query.py:68` and `query.py:172` (even with escaping)
- **Fix**: Use parameterized queries if LanceDB supports them, or proper escaping with validation
- **Risk**: Query injection, data leakage

#### Input Validation
- **Issue**: No validation on user inputs (URLs, library names, queries)
- **Fix**: Add Pydantic models for input validation
- **Risk**: Malformed data, crashes, security exploits

### 2. **Logging & Observability**

#### Replace Print Statements
- **Issue**: 34+ `print()` statements throughout codebase
- **Fix**: Implement structured logging with `logging` module
- **Benefits**: Log levels, structured logs, better debugging
- **Files**: All source files in `src/`

#### Add Logging Configuration
- Structured logging format (JSON for production)
- Log levels (DEBUG, INFO, WARNING, ERROR, CRITICAL)
- Rotating log files or integration with log aggregation (e.g., ELK, Datadog)

#### Metrics & Monitoring
- Add metrics collection (prometheus, statsd, or similar)
- Track: request counts, latency, error rates, embedding generation time
- Health check endpoint for MCP server
- Database connection pool metrics

### 3. **Error Handling**

- **Issue**: Basic try-catch blocks with generic exceptions
- **Fix**: 
  - Custom exception classes
  - Proper error propagation
  - User-friendly error messages
  - Error recovery strategies
  - Retry logic with exponential backoff for network operations

### 4. **Configuration Management**

#### Environment Variables
- **Issue**: Hard-coded defaults in `config.py`
- **Fix**: Support environment variables with fallbacks
- **Variables needed**:
  - `OPENGROUND_DB_PATH`
  - `OPENGROUND_TABLE_NAME`
  - `OPENGROUND_EMBEDDING_MODEL`
  - `OPENGROUND_CONCURRENCY_LIMIT`
  - `OPENGROUND_SSL_VERIFY`
  - `OPENGROUND_LOG_LEVEL`

#### Configuration Validation
- Validate config on startup
- Fail fast with clear error messages

### 5. **Testing**

#### Unit Tests
- Test each module independently
- Mock external dependencies (HTTP, LanceDB, embeddings)
- Target: 80%+ code coverage

#### Integration Tests
- Test CLI commands end-to-end
- Test MCP server tools
- Test database operations

#### Test Infrastructure
- Add `pytest` to dependencies
- Add `pytest-cov` for coverage
- Add `pytest-asyncio` for async tests
- Create `tests/` directory structure

### 6. **Dependency Management**

#### Version Pinning
- **Issue**: Many dependencies lack version constraints
- **Fix**: Pin all dependency versions
- Use `requirements.txt` or update `pyproject.toml` with version ranges

#### Dependency Scanning
- Add security scanning (e.g., `safety`, `pip-audit`)
- Regular dependency updates
- Document known vulnerabilities

### 7. **Documentation**

#### API Documentation
- Document all CLI commands with examples
- Document MCP server tools
- Add docstrings to all public functions

#### Deployment Documentation
- Deployment guide
- Environment setup instructions
- Troubleshooting guide
- Architecture diagram

## Important (Should-Have)

### 8. **Containerization**

#### Dockerfile
- Multi-stage build for smaller images
- Non-root user
- Health checks
- Proper layer caching

#### Docker Compose
- For local development
- Include LanceDB service if needed
- Environment variable management

### 9. **CI/CD Pipeline**

#### GitHub Actions / GitLab CI
- Linting (ruff, black, mypy)
- Running tests on PR
- Building Docker images
- Publishing to PyPI/container registry
- Automated dependency updates (Dependabot/Renovate)

### 10. **Code Quality**

#### Linting & Formatting
- **Current**: `ruff>=0.14.8` in dev dependencies
- **Fix**: Add pre-commit hooks
- Add `black` or use `ruff format`
- Add `mypy` for type checking

#### Type Hints
- Add type hints to all functions
- Use `typing` module for complex types

### 11. **Database Management**

#### Migrations
- Schema versioning strategy
- Migration scripts for schema changes
- Backup/restore procedures

#### Connection Management
- Connection pooling for LanceDB
- Proper connection lifecycle management
- Connection retry logic

### 12. **Performance Optimization**

#### Caching
- Cache embedding model loading
- Cache frequently accessed data
- Use Redis or similar for distributed caching if needed

#### Resource Limits
- Memory limits for embedding generation
- Rate limiting for HTTP requests
- Queue management for large jobs

### 13. **Scalability**

#### Horizontal Scaling
- Stateless design (already mostly stateless)
- Shared database storage strategy
- Load balancing considerations

#### Async Improvements
- Review async/await usage
- Optimize concurrent operations
- Add connection pooling for HTTP

## Nice-to-Have

### 14. **HTTP API**

- REST API wrapper around MCP server
- OpenAPI/Swagger documentation
- API versioning
- Authentication/authorization

### 15. **Admin Interface**

- Web UI for managing libraries
- Monitoring dashboard
- Manual trigger for extraction/ingestion

### 16. **Backup & Recovery**

- Automated backup strategy for LanceDB
- Disaster recovery plan
- Data retention policies

### 17. **Rate Limiting & Throttling**

- For HTTP requests during extraction
- For API/query requests
- Per-user/per-IP limits

### 18. **Data Quality**

- Validation of extracted content
- Quality metrics
- Deduplication strategies
- Content freshness tracking

### 19. **Observability Enhancements**

- Distributed tracing (OpenTelemetry)
- APM integration
- Alerting rules
- Dashboards (Grafana, etc.)

### 20. **Documentation Site**

- Sphinx or MkDocs documentation
- Examples gallery
- Tutorials
- API reference

## Implementation Priority

1. **Phase 1 - Security & Stability**
   - Fix SSL verification
   - Fix SQL injection vulnerabilities
   - Add proper logging
   - Add error handling
   - Add input validation

2. **Phase 2 - Testing & Quality**
   - Write tests
   - Set up CI/CD
   - Improve code quality
   - Add type hints

3. **Phase 3 - Operations**
   - Environment configuration
   - Docker containerization
   - Monitoring & metrics
   - Documentation

4. **Phase 4 - Enhancement**
   - Performance optimization
   - Scalability improvements
   - Additional features

## Quick Wins

These can be implemented quickly for immediate improvements:

1. Replace `print()` with `logging` (2-3 hours)
2. Add environment variable support (1-2 hours)
3. Fix SSL verification (15 minutes)
4. Add basic unit tests for core functions (4-6 hours)
5. Pin dependency versions (30 minutes)
6. Add `.env.example` file (15 minutes)

