FastApi Training , study and exam guide
1 Introduction to FastAPI
1.1 What is FastAPI?
1.2 Advantages of FastAPI
1.3 FastAPI vs Other Frameworks
1.4 Installation and Setup
2 Core Concepts
2.1 Asynchronous Programming in Python
2.2 Understanding Pydantic Models
2.3 Dependency Injection
2.4 Routing and Path Operations
2.5 Request and Response Models
3 Building APIs with FastAPI
3.1 Creating a Basic API
3.2 Handling GET Requests
3.3 Handling POST Requests
3.4 Handling PUT and DELETE Requests
3.5 Query Parameters and Path Parameters
3.6 Request Body and JSON Data
3.7 File Uploads
4 Advanced Features
4.1 Authentication and Authorization
4.2 Middleware
4.3 Background Tasks
4.4 WebSockets
4.5 CORS (Cross-Origin Resource Sharing)
4.6 Custom Exception Handling
5 Database Integration
5.1 Connecting to a Database
5.2 ORM Integration (SQLAlchemy)
5.3 CRUD Operations with FastAPI
5.4 Database Migrations
5.5 Handling Relationships
6 Testing and Debugging
6.1 Writing Unit Tests
6.2 Using TestClient for Integration Tests
6.3 Debugging Techniques
6.4 Logging and Monitoring
7 Deployment
7.1 Deploying FastAPI with Uvicorn
7.2 Dockerizing FastAPI Applications
7.3 Deploying to Cloud Platforms (AWS, GCP, Azure)
7.4 Continuous Integration and Continuous Deployment (CICD)
8 Best Practices
8.1 Code Organization and Structure
8.2 Security Best Practices
8.3 Performance Optimization
8.4 Documentation and OpenAPI
8.5 Versioning APIs
9 Case Studies and Projects
9.1 Building a RESTful API
9.2 Implementing a CRUD Application
9.3 Real-World Project Example
9.4 Collaborative Project with Team
10 Exam Preparation
10.1 Overview of Exam Structure
10.2 Sample Questions and Answers
10.3 Practice Exercises
10.4 Mock Exam Simulation
Advanced Features in FastAPI

Advanced Features in FastAPI

Key Concepts

FastAPI offers several advanced features that enhance the functionality and performance of your API. Here are four key advanced features:

1. Background Tasks

Background tasks allow you to perform time-consuming operations asynchronously without blocking the main request-response cycle. This is particularly useful for tasks like sending emails, processing large datasets, or logging.

Example: Using Background Tasks

from fastapi import FastAPI, BackgroundTasks

app = FastAPI()

def send_email(email: str, message: str):
    # Simulate sending an email
    print(f"Sending email to {email} with message: {message}")

@app.post("/send-email/")
async def send_email_endpoint(email: str, message: str, background_tasks: BackgroundTasks):
    background_tasks.add_task(send_email, email, message)
    return {"message": "Email will be sent in the background"}
    

2. Dependency Injection

Dependency Injection (DI) in FastAPI allows you to manage and inject dependencies into your routes. This helps in keeping your code modular and testable. DI is achieved using the Depends function.

Example: Dependency Injection

from fastapi import FastAPI, Depends

app = FastAPI()

def get_db():
    # Simulate database connection
    db = {"user": "admin", "password": "secret"}
    return db

@app.get("/users/")
async def read_users(db = Depends(get_db)):
    return db
    

3. Custom Middleware

Custom middleware allows you to intercept and modify requests or responses. This is useful for tasks like authentication, logging, or modifying headers. Middleware is implemented using the middleware decorator.

Example: Custom Middleware

from fastapi import FastAPI, Request

app = FastAPI()

@app.middleware("http")
async def add_process_time_header(request: Request, call_next):
    start_time = time.time()
    response = await call_next(request)
    process_time = time.time() - start_time
    response.headers["X-Process-Time"] = str(process_time)
    return response
    

4. WebSocket Support

WebSocket support in FastAPI enables real-time, bidirectional communication between the client and server. This is ideal for applications like chat apps, live updates, or multiplayer games.

Example: WebSocket Support

from fastapi import FastAPI, WebSocket

app = FastAPI()

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    await websocket.accept()
    while True:
        data = await websocket.receive_text()
        await websocket.send_text(f"Message text was: {data}")
    

Analogies

Think of background tasks as a post-it note you leave for yourself to complete a task later. Dependency injection is like a butler who brings you the tools you need to complete a task. Custom middleware is like a security guard who checks your ID before letting you into a building. WebSocket support is like a phone call where both parties can talk and listen at the same time.

By mastering these advanced features, you can build more powerful, efficient, and real-time applications with FastAPI.