# API Development Learn how to build REST APIs with the FastAPI Boilerplate. This section covers everything you need to create robust, production-ready APIs. ## What You'll Learn - **[Endpoints](endpoints.md)** - Create CRUD endpoints with authentication and validation - **[Pagination](pagination.md)** - Add pagination to handle large datasets - **[Exception Handling](exceptions.md)** - Handle errors properly with built-in exceptions - **[API Versioning](versioning.md)** - Version your APIs and maintain backward compatibility - **Database Integration** - Use the boilerplate's CRUD layer and schemas ## Quick Overview The boilerplate provides everything you need for API development: ```python from fastapi import APIRouter, Depends from app.crud.crud_users import crud_users from app.schemas.user import UserRead, UserCreate from app.core.db.database import async_get_db router = APIRouter(prefix="/users", tags=["users"]) @router.get("/", response_model=list[UserRead]) async def get_users(db: Annotated[AsyncSession, Depends(async_get_db)]): users = await crud_users.get_multi(db=db, schema_to_select=UserRead) return users["data"] @router.post("/", response_model=UserRead, status_code=201) async def create_user( user_data: UserCreate, db: Annotated[AsyncSession, Depends(async_get_db)] ): return await crud_users.create(db=db, object=user_data) ``` ## Key Features ### 🔐 **Built-in Authentication** Add authentication to any endpoint: ```python from app.api.dependencies import get_current_user @router.get("/me", response_model=UserRead) async def get_profile(current_user: Annotated[dict, Depends(get_current_user)]): return current_user ``` ### 📊 **Easy Pagination** Paginate any endpoint with one line: ```python from fastcrud.paginated import PaginatedListResponse @router.get("/", response_model=PaginatedListResponse[UserRead]) async def get_users(page: int = 1, items_per_page: int = 10): # Add pagination to any endpoint ``` ### ✅ **Automatic Validation** Request and response validation is handled automatically: ```python @router.post("/", response_model=UserRead) async def create_user(user_data: UserCreate): # ← Validates input return await crud_users.create(object=user_data) # ← Validates output ``` ### 🛡️ **Error Handling** Use built-in exceptions for consistent error responses: ```python from app.core.exceptions.http_exceptions import NotFoundException @router.get("/{user_id}") async def get_user(user_id: int): user = await crud_users.get(id=user_id) if not user: raise NotFoundException("User not found") # Returns proper 404 return user ``` ## Architecture The boilerplate follows a layered architecture: ``` API Endpoint ↓ Pydantic Schema (validation) ↓ CRUD Layer (database operations) ↓ SQLAlchemy Model (database) ``` This separation makes your code: - **Testable** - Mock any layer easily - **Maintainable** - Clear separation of concerns - **Scalable** - Add features without breaking existing code ## Directory Structure ```text src/app/api/ ├── dependencies.py # Shared dependencies (auth, rate limiting) └── v1/ # API version 1 ├── users.py # User endpoints ├── posts.py # Post endpoints ├── login.py # Authentication └── ... # Other endpoints ``` ## What's Next Start with the basics: 1. **[Endpoints](endpoints.md)** - Learn the common patterns for creating API endpoints 2. **[Pagination](pagination.md)** - Add pagination to handle large datasets 3. **[Exception Handling](exceptions.md)** - Handle errors properly with built-in exceptions 4. **[API Versioning](versioning.md)** - Version your APIs and maintain backward compatibility Then dive deeper into the foundation: 5. **[Database Schemas](../database/schemas.md)** - Create schemas for your data 6. **[CRUD Operations](../database/crud.md)** - Understand the database layer Each guide builds on the previous one with practical examples you can use immediately.