api-design-and-implementation

API Design and Implementation

1. Pydantic Validation

• Use Pydantic models for all incoming request bodies and outgoing responses. This ensures automatic data validation and clear API contracts.
• Use response_model to define the schema for successful responses.
• Use separate Pydantic schemas for creating, updating, and reading resources (e.g., UserCreate, UserUpdate, UserRead).

2. Router Structure

• Create a single APIRouter instance per endpoint file.
• Use descriptive prefixes when including routers in the main API router.
• Always include proper HTTP status codes, response models, and documentation.
• Use tags to group related endpoints in the API documentation.
• Include docstrings for all endpoint functions.
• Follow RESTful conventions for endpoint paths and HTTP methods.

3. API Router Aggregation

• Import all endpoint routers in app/api/v1/api.py.
• Use meaningful prefixes that match the feature domain.
• Keep the main API router clean and focused on aggregation only.
• Ensure all routers are properly included with appropriate prefixes.

4. Database Configuration and Connection Management

• Database configuration is stored in app/core/config.py using Pydantic Settings.
• Use database connection and session management from app/db/__init__.py.
• Use SQLAlchemy's create_engine() with connection pooling for production.
• Implement proper session lifecycle management with dependency injection.
• Use get_db() dependency function for database sessions in endpoints.
• Use database migrations with Alembic for schema changes.
• Implement proper error handling for database connection failures.

5. Logging Standards

• Use module-based naming: get_logger(__name__) for general module logging.