FastAPI Beyond CRUD Full Course - A FastAPI Course

Introduction

This tutorial is designed to guide you through advanced API development using FastAPI, as presented in the "FastAPI Beyond CRUD" course. You'll learn to set up a FastAPI project, create RESTful APIs, manage databases, implement user authentication, handle errors, and deploy your application. This course is ideal for developers who are familiar with basic CRUD operations and want to deepen their knowledge of FastAPI's powerful features.

Step 1: Project Setup

• Install FastAPI and an ASGI server, such as Uvicorn.
• Create a new directory for your project and navigate into it.
• Use the following command to install dependencies:

  pip install fastapi uvicorn
  

• Create a new Python file (e.g., main.py) to start coding.

Step 2: Build a Simple Web Server

• In main.py, import FastAPI and create an instance:

  from fastapi import FastAPI
  
  app = FastAPI()
  

• Define a simple endpoint:

  @app.get("/")
  async def read_root():
      return {"Hello": "World"}
  

• Run the server using Uvicorn:

  uvicorn main:app --reload
  

Step 3: Work with Path Parameters

• Define an endpoint that accepts a path parameter:

  @app.get("/items/{item_id}")
  async def read_item(item_id: int):
      return {"item_id": item_id}
  

Step 4: Use Query Parameters

• Add query parameters to your endpoint:

  @app.get("/items/")
  async def read_items(skip: int = 0, limit: int = 10):
      return {"skip": skip, "limit": limit}
  

Step 5: Manage Request Bodies

• Define a Pydantic model for request validation:

  from pydantic import BaseModel
  
  class Item(BaseModel):
      name: str
      price: float
  

• Create an endpoint to accept a request body:

  @app.post("/items/")
  async def create_item(item: Item):
      return item
  

Step 6: Build a REST API

• Organize your API using routers to manage paths effectively:

  from fastapi import APIRouter
  
  router = APIRouter()
  
  @router.get("/users/")
  async def read_users():
      return [{"username": "user1"}, {"username": "user2"}]
  
  app.include_router(router)
  

Step 7: Database Integration with SQLModel

• Install SQLModel:

  pip install sqlmodel
  

• Define your database model:

  from sqlmodel import SQLModel, Field
  
  class User(SQLModel, table=True):
      id: int = Field(default=None, primary_key=True)
      name: str
  

• Create a database connection and initialize your tables.

Step 8: Implement User Authentication

• Use JWT for authentication:

  pip install pyjwt passlib
  

• Create endpoints for user registration and login, using password hashing for security.

Step 9: Error Handling

• Define custom exceptions and create exception handlers:

  from fastapi import HTTPException
  
  @app.exception_handler(HTTPException)
  async def http_exception_handler(request, exc):
      return JSONResponse(status_code=exc.status_code, content={"detail": exc.detail})
  

Step 10: Background Tasks with Celery

• Set up Celery and Redis for managing background tasks:

  pip install celery redis
  

• Create tasks and use Flower for monitoring:

  from celery import Celery
  
  celery = Celery('tasks', broker='redis://localhost:6379/0')
  
  @celery.task
  def add(x, y):
      return x + y
  

Step 11: Testing Your API

• Utilize Pytest and Unittest Mock for creating unit tests:

  pip install pytest pytest-asyncio
  

• Write tests for your API endpoints to ensure they work as expected.

Conclusion

By following these steps, you will have set up a FastAPI application that goes beyond basic CRUD operations. You'll have learned to handle databases, implement authentication, manage errors, and test your application effectively. Next, consider deploying your application using platforms like Render.com to share your API with the world. Explore the source code and documentation provided in the video description for further insights and advanced features.