# {{ module_name|title }} Module Overview

## Module Information

- **Name**: {{ module_name }}
- **Path**: `{{ module_path }}`
- **Description**: {{ module_description }}
- **Template**: {{ template_type if template_type else "Standard" }}
- **Generated**: {{ generated_at if generated_at else "Unknown" }}

## Module Structure

```
{{ module_name }}/
├── __init__.py              # Module initialization
├── models.py                # Database models
├── schemas.py               # Pydantic schemas
├── services.py              # Business logic
├── routers.py               # API endpoints
└── tests/                   # Test files
    ├── __init__.py
    └── test_models.py
```

## Files

{% if files %}
This module contains the following files:

{% for file in files %}
- **`{{ file }}`**: {{ file_description if file_description else "Module file" }}
{% endfor %}
{% else %}
No specific files listed for this module.
{% endif %}

## Dependencies

{% if dependencies %}
This module depends on the following modules:

{% for dependency in dependencies %}
- **{{ dependency }}**: {{ dependency|title }} module
{% endfor %}

### Dependency Graph
```
{{ module_name }}
{% for dependency in dependencies %}├── {{ dependency }}
{% endfor %}
```

### Import Statements
```python
{% for dependency in dependencies %}from {{ dependency }} import models as {{ dependency }}_models
from {{ dependency }} import services as {{ dependency }}_services
from {{ dependency }} import schemas as {{ dependency }}_schemas
{% endfor %}
```

### Service Dependencies
```python
class {{ module_name|title }}Service:
    def __init__(
        self,
        {% for dependency in dependencies %}{{ dependency }}_service: {{ dependency|title }}Service,
        {% endfor %}
    ):
        {% for dependency in dependencies %}self.{{ dependency }}_service = {{ dependency }}_service
        {% endfor %}
```
{% else %}
This module has no external dependencies.
{% endif %}

## API Endpoints

The module provides the following API endpoints:

**Base Path**: `/{{ module_name }}s`

- `GET /{{ module_name }}s` - List all {{ module_name }}s
- `POST /{{ module_name }}s` - Create a new {{ module_name }}
- `GET /{{ module_name }}s/{id}` - Get {{ module_name }} by ID
- `PUT /{{ module_name }}s/{id}` - Update {{ module_name }} by ID
- `DELETE /{{ module_name }}s/{id}` - Delete {{ module_name }} by ID

### Example Usage

#### Creating a {{ module_name|title }}

```http
POST /{{ module_name }}s
Content-Type: application/json

{
  "name": "Example {{ module_name|title }}",
  "description": "Description of the {{ module_name }}"
}
```

#### Retrieving {{ module_name }}s

```http
GET /{{ module_name }}s?page=1&size=10
```

## Data Models

### {{ module_name|title }}Model

```python
class {{ module_name|title }}Model(Base):
    __tablename__ = "{{ module_name }}s"
    
    id = Column(Integer, primary_key=True, index=True)
    name = Column(String(100), nullable=False, index=True)
    description = Column(String(500), nullable=True)
    is_active = Column(Boolean, default=True)
    created_at = Column(DateTime(timezone=True), server_default=func.now())
    updated_at = Column(DateTime(timezone=True), onupdate=func.now())
```

## Schemas

### {{ module_name|title }}Create

```python
class {{ module_name|title }}Create(BaseModel):
    name: str
    description: Optional[str] = None
    is_active: bool = True
```

### {{ module_name|title }}Update

```python
class {{ module_name|title }}Update(BaseModel):
    name: Optional[str] = None
    description: Optional[str] = None
    is_active: Optional[bool] = None
```

### {{ module_name|title }}Response

```python
class {{ module_name|title }}Response(BaseModel):
    id: int
    name: str
    description: Optional[str]
    is_active: bool
    created_at: datetime
    updated_at: datetime
    
    class Config:
        orm_mode = True
```

## Services

### {{ module_name|title }}Service

The service layer handles business logic for {{ module_name }} operations:

```python
class {{ module_name|title }}Service:
    def __init__(self, db: Session):
        self.db = db
    
    def create_{{ module_name }}(self, {{ module_name }}_data: {{ module_name|title }}Create) -> {{ module_name|title }}Model:
        # Implementation details
        
    def get_{{ module_name }}(self, {{ module_name }}_id: int) -> {{ module_name|title }}Model:
        # Implementation details
        
    def update_{{ module_name }}(self, {{ module_name }}_id: int, {{ module_name }}_data: {{ module_name|title }}Update) -> {{ module_name|title }}Model:
        # Implementation details
        
    def delete_{{ module_name }}(self, {{ module_name }}_id: int) -> bool:
        # Implementation details
```

## Testing

### Running Tests

```bash
# Run all tests for this module
pytest {{ module_name }}/tests/

# Run specific test file
pytest {{ module_name }}/tests/test_models.py

# Run with coverage
pytest {{ module_name }}/tests/ --cov={{ module_name }}
```

### Test Structure

The test suite includes:

- **Model Tests**: Database model validation and relationships
- **Schema Tests**: Pydantic schema validation
- **Service Tests**: Business logic validation
- **Router Tests**: API endpoint validation

## Configuration

### Environment Variables

This module may use the following environment variables:

- `{{ module_name|upper }}_DB_URL`: Database connection string
- `{{ module_name|upper }}_CACHE_TTL`: Cache time-to-live in seconds
- `{{ module_name|upper }}_LOG_LEVEL`: Logging level

### Settings

Module-specific settings can be configured in `config/settings.py`:

```python
# {{ module_name|title }} module settings
{{ module_name|upper }}_SETTINGS = {
    "default_page_size": 20,
    "max_page_size": 100,
    "cache_enabled": True,
    "cache_ttl": 300
}
```

## Monitoring and Logging

### Logging

The module uses structured logging with the following loggers:

- `{{ module_name }}.models`: Database operations
- `{{ module_name }}.services`: Business logic
- `{{ module_name }}.routers`: API requests

### Metrics

Key metrics to monitor:

- Request count and response times
- Database query performance
- Error rates and types
- Cache hit/miss ratios

## Troubleshooting

### Common Issues

1. **Database Connection Errors**
   - Check database configuration
   - Verify connection string format
   - Ensure database is running

2. **Import Errors**
   - Verify all dependencies are installed
   - Check Python path configuration
   - Ensure module is properly initialized

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"
```

## Performance Considerations

### Database Optimization

- Use database indexes on frequently queried fields
- Implement connection pooling
- Consider read replicas for heavy read workloads

### Caching

- Cache frequently accessed data
- Use Redis or similar for distributed caching
- Implement cache invalidation strategies

### API Optimization

- Implement pagination for large datasets
- Use compression for responses
- Consider GraphQL for complex queries

## Security

### Input Validation

- All inputs are validated using Pydantic schemas
- SQL injection protection through SQLAlchemy ORM
- XSS protection through proper output encoding

### Authentication

{% if auth_required %}
- JWT token-based authentication
- Role-based access control
- API key validation for external services
{% else %}
- Currently no authentication required
- Consider implementing authentication for production use
{% endif %}

## Future Enhancements

Potential improvements for this module:

- [ ] Add bulk operations support
- [ ] Implement advanced filtering and search
- [ ] Add audit logging
- [ ] Implement soft delete functionality
- [ ] Add data export capabilities
- [ ] Implement webhook notifications

## Related Documentation

- [Project Overview](../project_overview.md)
- [API Documentation](../api_documentation.md)
- [Database Schema](../database_schema.md)
- [Deployment Guide](../deployment.md)
