# {{ project_name }} Project Overview

## Project Information

- **Name**: {{ project_name }}
- **Version**: {{ project_version }}
- **Description**: {{ project_description }}
- **Path**: `{{ project_path }}`
- **Framework**: FastAPI
- **Language**: Python 3.8+

## Project Architecture

{{ project_name }} follows a modular, domain-driven design pattern with clean separation of concerns:

```
{{ project_name }}/
├── main.py                 # FastAPI application entry point
├── config/                 # Configuration management
│   ├── __init__.py
│   ├── settings.py        # Application settings
│   └── database.py        # Database configuration
├── routers/                # API route definitions
│   └── base.py            # Base router configuration
├── models/                 # Shared database models
├── schemas/                # Shared Pydantic schemas
├── services/               # Shared business logic
├── tests/                  # Test files
├── alembic/                # Database migrations
├── requirements.txt        # Python dependencies
└── pyproject.toml         # Project configuration
```

## Technology Stack

### Backend Framework
- **FastAPI**: High-performance web framework for building APIs
- **Uvicorn**: ASGI server for running FastAPI applications
- **Pydantic**: Data validation using Python type annotations

### Database
- **SQLAlchemy**: SQL toolkit and Object-Relational Mapping (ORM)
- **Alembic**: Database migration tool
- **PostgreSQL/MySQL**: Primary database (configurable)

### Testing
- **pytest**: Testing framework
- **pytest-asyncio**: Async testing support
- **pytest-cov**: Coverage reporting

### Development Tools
- **Poetry**: Dependency management
- **Black**: Code formatting
- **Ruff**: Fast Python linter
- **Pre-commit**: Git hooks for code quality

## Modules

{% if modules %}
The project is organized into the following domain modules:

{% for module in modules %}
### {{ module|title }} Module
- **Purpose**: {{ module|title }} management and operations
- **Path**: `{{ module }}/`
- **Dependencies**: {% if module_dependencies and module in module_dependencies %}{{ ', '.join(module_dependencies[module]) }}{% else %}None{% endif %}
- **API Endpoints**: `/{{ module }}s`
- **Features**: CRUD operations, validation, business logic

{% endfor %}

### Module Dependencies

The following dependency relationships exist between modules:

{% if module_dependencies %}
{% for module, deps in module_dependencies.items() %}
- **{{ module }}** depends on: {% if deps %}{{ ', '.join(deps) }}{% else %}None{% endif %}
{% endfor %}
{% else %}
No module dependencies defined.
{% endif %}

### Module Generation

New modules can be generated using the FasCraft CLI:

```bash
# Generate a basic module
fascraft generate users

# Generate a module with specific template
fascraft generate products --template crud

# Generate a module with dependencies
fascraft generate orders --depends-on users,products
```

Available templates:
- **basic**: Standard CRUD operations
- **crud**: Enhanced CRUD with filtering and pagination
- **api_first**: API-first design with comprehensive schemas
- **event_driven**: Event-driven architecture with message queues
- **microservice**: Microservice-ready with external API calls
- **admin_panel**: Administrative interface with user management
{% else %}
Currently, no modules have been generated. Use the FasCraft CLI to create your first module:

```bash
fascraft generate <module_name>
```
{% endif %}

## Configuration

### Environment Variables

The application uses environment variables for configuration:

```bash
# Database
DATABASE_URL=postgresql://user:password@localhost/dbname

# Application
SECRET_KEY=your-secret-key-here
DEBUG=True
LOG_LEVEL=INFO

# Server
HOST=0.0.0.0
PORT=8000
```

### Configuration Files

- **`.env`**: Environment-specific configuration
- **`config/settings.py`**: Application settings and defaults
- **`config/database.py`**: Database connection and session management
- **`pyproject.toml`**: Project metadata and dependencies

## Database Design

### Database Schema

The database follows a normalized design with the following key principles:

- **Primary Keys**: Auto-incrementing integer IDs
- **Timestamps**: `created_at` and `updated_at` fields on all tables
- **Soft Deletes**: `is_active` boolean flag for data retention
- **Indexes**: Strategic indexing on frequently queried fields
- **Foreign Keys**: Proper referential integrity constraints

### Migration Strategy

Database changes are managed through Alembic migrations:

```bash
# Create a new migration
alembic revision --autogenerate -m "Description of changes"

# Apply migrations
alembic upgrade head

# Rollback migrations
alembic downgrade -1
```

## API Design

### RESTful Endpoints

The API follows REST principles with consistent patterns:

- **Resource Naming**: Plural nouns (e.g., `/users`, `/products`)
- **HTTP Methods**: GET, POST, PUT, DELETE for CRUD operations
- **Status Codes**: Standard HTTP status codes
- **Response Format**: Consistent JSON structure

### API Documentation

Interactive API documentation is automatically generated:

- **Swagger UI**: `/docs` - Interactive API explorer
- **ReDoc**: `/redoc` - Alternative documentation view
- **OpenAPI JSON**: `/openapi.json` - Machine-readable specification

### Authentication & Authorization

{% if auth_enabled %}
The API implements JWT-based authentication:

- **JWT Tokens**: Secure, stateless authentication
- **Role-Based Access**: Granular permission control
- **API Keys**: External service integration
- **OAuth2**: Third-party authentication support
{% else %}
Authentication is currently not implemented. Consider adding:

- JWT token-based authentication
- Role-based access control
- API key validation
- OAuth2 integration
{% endif %}

## Testing Strategy

### Test Structure

Tests are organized to mirror the application structure:

```
tests/
├── conftest.py            # Test configuration and fixtures
├── test_models.py         # Database model tests
├── test_schemas.py        # Pydantic schema tests
├── test_services.py       # Business logic tests
├── test_routers.py        # API endpoint tests
└── integration/           # Integration tests
    ├── test_api.py        # Full API workflow tests
    └── test_database.py   # Database integration tests
```

### Testing Commands

```bash
# Run all tests
pytest

# Run with coverage
pytest --cov=.

# Run specific test file
pytest tests/test_models.py

# Run tests in parallel
pytest -n auto

# Run with verbose output
pytest -v
```

### Test Data

Tests use fixtures and factories for consistent test data:

- **Database Fixtures**: Clean database state for each test
- **Model Factories**: Generate test data with realistic values
- **Mock Services**: Isolate units under test
- **Test Database**: Separate database for testing

## Development Workflow

### Getting Started

1. **Clone Repository**
   ```bash
   git clone <repository-url>
   cd {{ project_name }}
   ```

2. **Setup Environment**
   ```bash
   python -m venv venv
   source venv/bin/activate  # Windows: venv\Scripts\activate
   pip install -r requirements.txt
   ```

3. **Configure Database**
   ```bash
   cp .env.example .env
   # Edit .env with your database credentials
   ```

4. **Run Migrations**
   ```bash
   alembic upgrade head
   ```

5. **Start Development Server**
   ```bash
   uvicorn main:app --reload
   ```

### Development Commands

```bash
# Format code
black .

# Lint code
ruff check .

# Run tests
pytest

# Generate new module
fascraft generate <module_name>

# Update dependencies
fascraft update

# Analyze project
fascraft analyze
```

## Deployment

### Production Considerations

- **Environment Variables**: Secure configuration management
- **Database**: Production-ready database with connection pooling
- **Caching**: Redis or similar for performance optimization
- **Monitoring**: Application performance monitoring (APM)
- **Logging**: Structured logging with log aggregation
- **Security**: HTTPS, CORS, rate limiting, input validation

### Deployment Options

- **Docker**: Containerized deployment
- **Kubernetes**: Orchestrated container deployment
- **Cloud Platforms**: AWS, GCP, Azure deployment
- **Traditional Servers**: VPS or dedicated server deployment

### CI/CD Pipeline

Recommended CI/CD setup:

1. **Code Quality**: Automated linting and formatting
2. **Testing**: Automated test execution
3. **Security**: Dependency vulnerability scanning
4. **Build**: Docker image creation
5. **Deploy**: Automated deployment to staging/production

## Monitoring & Observability

### Application Metrics

Key metrics to monitor:

- **Performance**: Response times, throughput, error rates
- **Resources**: CPU, memory, disk usage
- **Database**: Query performance, connection pool status
- **External Services**: API response times, availability

### Logging Strategy

Structured logging with different levels:

- **DEBUG**: Detailed debugging information
- **INFO**: General application flow
- **WARNING**: Potential issues
- **ERROR**: Error conditions
- **CRITICAL**: Critical system failures

### Health Checks

Built-in health check endpoints:

- **`/health`**: Basic application health
- **`/health/detailed`**: Detailed system status
- **`/ready`**: Readiness for traffic
- **`/live`**: Liveness check

## Security

### Security Measures

- **Input Validation**: Pydantic schema validation
- **SQL Injection Protection**: SQLAlchemy ORM
- **XSS Protection**: Proper output encoding
- **CSRF Protection**: Token-based CSRF protection
- **Rate Limiting**: Request rate limiting
- **HTTPS**: TLS encryption in transit

### Security Best Practices

- Regular dependency updates
- Security vulnerability scanning
- Principle of least privilege
- Secure configuration management
- Regular security audits

## Performance Optimization

### Database Optimization

- **Indexing**: Strategic database indexes
- **Query Optimization**: Efficient SQL queries
- **Connection Pooling**: Database connection management
- **Read Replicas**: Scaling read operations

### Application Optimization

- **Caching**: Redis-based caching
- **Async Operations**: Non-blocking I/O
- **Background Tasks**: Celery for long-running tasks
- **Load Balancing**: Multiple application instances

### API Optimization

- **Pagination**: Efficient data retrieval
- **Compression**: Response compression
- **CDN**: Static content delivery
- **GraphQL**: Alternative to REST for complex queries

## Troubleshooting

### Common Issues

1. **Database Connection Errors**
   - Check database configuration
   - Verify network connectivity
   - Check database server status

2. **Import Errors**
   - Verify virtual environment activation
   - Check Python path configuration
   - Ensure all dependencies are installed

3. **API Errors**
   - Check request format and validation
   - Verify authentication and permissions
   - Review server logs for details

### Debug Mode

Enable debug mode for detailed error information:

```python
# In config/settings.py
DEBUG = True
LOG_LEVEL = "DEBUG"
```

### Log Analysis

Use structured logging for easier troubleshooting:

```python
import logging

logger = logging.getLogger(__name__)
logger.info("Operation completed", extra={
    "user_id": user_id,
    "operation": "create",
    "duration_ms": duration
})
```

## Contributing

### Development Guidelines

- Follow PEP 8 style guidelines
- Write comprehensive tests
- Update documentation
- Use conventional commit messages
- Create feature branches for changes

### Code Review Process

1. Create feature branch
2. Implement changes with tests
3. Submit pull request
4. Code review and feedback
5. Address feedback and merge

### Testing Requirements

- All new code must have tests
- Maintain minimum 80% code coverage
- Integration tests for new features
- Performance tests for critical paths

## Support & Resources

### Documentation

- **API Documentation**: `/docs` endpoint
- **Project Documentation**: `docs/` directory
- **Code Comments**: Inline documentation
- **README**: Project overview and setup

### Community

- **GitHub Issues**: Bug reports and feature requests
- **Discussions**: Community discussions and Q&A
- **Contributing Guide**: Development guidelines
- **Code of Conduct**: Community standards

### External Resources

- [FastAPI Documentation](https://fastapi.tiangolo.com/)
- [SQLAlchemy Documentation](https://docs.sqlalchemy.org/)
- [Pydantic Documentation](https://pydantic-docs.helpmanual.io/)
- [Alembic Documentation](https://alembic.sqlalchemy.org/)

## Roadmap

### Upcoming Features

- [ ] GraphQL API support
- [ ] Real-time WebSocket endpoints
- [ ] Advanced caching strategies
- [ ] Multi-tenant architecture
- [ ] Advanced authentication (OAuth2, SAML)
- [ ] API versioning support

### Long-term Goals

- [ ] Microservices architecture
- [ ] Event sourcing implementation
- [ ] Advanced monitoring and alerting
- [ ] Machine learning integration
- [ ] Multi-language support
- [ ] Advanced analytics dashboard

---

*This documentation is automatically generated and should be updated as the project evolves.*
