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
FastAPI Training: 9 Case Studies and Projects Explained

FastAPI Training: 9 Case Studies and Projects Explained

Key Concepts

Here are the key concepts related to the 9 case studies and projects:

1. E-commerce API

Building a RESTful API for an e-commerce platform involves creating endpoints for products, orders, users, and payments. This API will allow users to browse products, place orders, and manage their accounts.

Example:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Product(BaseModel):
    id: int
    name: str
    price: float

products = []

@app.post("/products/")
async def create_product(product: Product):
    products.append(product)
    return product

@app.get("/products/")
async def read_products():
    return products
    

2. Social Media API

Developing an API for a social media application involves creating endpoints for users, posts, comments, and likes. This API will allow users to create posts, comment on posts, and like posts.

Example:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Post(BaseModel):
    id: int
    content: str

posts = []

@app.post("/posts/")
async def create_post(post: Post):
    posts.append(post)
    return post

@app.get("/posts/")
async def read_posts():
    return posts
    

3. Blog API

Creating an API for a blogging platform involves creating endpoints for articles, authors, and comments. This API will allow users to create articles, comment on articles, and manage their profiles.

Example:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Article(BaseModel):
    id: int
    title: str
    content: str

articles = []

@app.post("/articles/")
async def create_article(article: Article):
    articles.append(article)
    return article

@app.get("/articles/")
async def read_articles():
    return articles
    

4. Real-time Chat Application

Implementing a real-time chat application using WebSockets involves creating a bidirectional communication channel between the client and the server. This API will allow users to send and receive messages in real-time.

Example:

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}")
    

5. Task Management System

Building an API for a task management system involves creating endpoints for tasks, users, and projects. This API will allow users to create tasks, assign tasks to users, and manage projects.

Example:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Task(BaseModel):
    id: int
    title: str
    description: str

tasks = []

@app.post("/tasks/")
async def create_task(task: Task):
    tasks.append(task)
    return task

@app.get("/tasks/")
async def read_tasks():
    return tasks
    

6. Weather Forecast API

Developing an API to fetch and display weather forecasts involves integrating with a weather service API and creating endpoints to retrieve weather data. This API will allow users to get current weather and forecast information.

Example:

from fastapi import FastAPI
import requests

app = FastAPI()

@app.get("/weather/{city}")
async def get_weather(city: str):
    url = f"http://api.weatherapi.com/v1/current.json?key=YOUR_API_KEY&q={city}"
    response = requests.get(url)
    return response.json()
    

7. File Upload and Management

Creating an API for file upload and management involves creating endpoints to upload, download, and delete files. This API will allow users to manage their files securely.

Example:

from fastapi import FastAPI, File, UploadFile

app = FastAPI()

@app.post("/uploadfile/")
async def create_upload_file(file: UploadFile = File(...)):
    return {"filename": file.filename}
    

8. Authentication and Authorization

Implementing secure authentication and authorization mechanisms involves creating endpoints for user registration, login, and protected routes. This API will ensure that only authenticated users can access protected resources.

Example:

from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

@app.post("/token")
async def login(form_data: OAuth2PasswordRequestForm = Depends()):
    user = authenticate_user(form_data.username, form_data.password)
    if not user:
        raise HTTPException(status_code=400, detail="Incorrect username or password")
    return {"access_token": user.username, "token_type": "bearer"}
    

9. Integration with Third-party APIs

Integrating FastAPI with third-party services involves creating endpoints that interact with external APIs. This API will allow users to leverage third-party services within their applications.

Example:

from fastapi import FastAPI
import requests

app = FastAPI()

@app.get("/github/{username}")
async def get_github_user(username: str):
    url = f"https://api.github.com/users/{username}"
    response = requests.get(url)
    return response.json()
    

Analogies

Think of the E-commerce API as a virtual store where users can browse and purchase products. The Social Media API is like a digital town square where users can post, comment, and interact. The Blog API is like a newspaper where users can publish and read articles. The Real-time Chat Application is like a telephone conversation where users can communicate instantly. The Task Management System is like a to-do list where users can manage their tasks. The Weather Forecast API is like a weather station that provides real-time weather updates. The File Upload and Management API is like a digital filing cabinet where users can store and retrieve files. The Authentication and Authorization API is like a security system that ensures only authorized users can access certain areas. The Integration with Third-party APIs is like a translator that allows different systems to communicate with each other.

By mastering these case studies and projects, you can build a wide range of applications using FastAPI, from simple APIs to complex, real-time systems.