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: Routing and Path Operations

FastAPI Training: Routing and Path Operations

Key Concepts

Routing and path operations are fundamental aspects of building APIs with FastAPI. They allow you to define how different endpoints (URL paths) should handle incoming requests. Here are the key concepts:

Path Operations

Path operations define the HTTP methods (GET, POST, PUT, DELETE, etc.) that can be performed on a specific path. Each method corresponds to a different type of request:

Example: Defining Path Operations

from fastapi import FastAPI

app = FastAPI()

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

@app.post("/items/")
def create_item(item: dict):
    return {"item": item}

@app.put("/items/{item_id}")
def update_item(item_id: int, item: dict):
    return {"item_id": item_id, "updated_item": item}

@app.delete("/items/{item_id}")
def delete_item(item_id: int):
    return {"item_id": item_id, "status": "deleted"}
    

Path Parameters

Path parameters are variables in the URL path that are used to capture specific values. They are defined within curly braces {} in the path and can be accessed in the function as arguments.

Example: Using Path Parameters

from fastapi import FastAPI

app = FastAPI()

@app.get("/users/{user_id}")
def get_user(user_id: int):
    return {"user_id": user_id}
    

Query Parameters

Query parameters are optional parameters that are appended to the URL after a question mark (?). They are typically used to filter or sort data.

Example: Using Query Parameters

from fastapi import FastAPI

app = FastAPI()

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

Request Body

The request body is the data sent in the body of a POST, PUT, or PATCH request. In FastAPI, you can define the structure of the request body using Pydantic models.

Example: Using Request Body

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float

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

Analogies

Think of routing and path operations as the blueprint of a house. Each room (path) has specific functions (operations) like sleeping (GET), cooking (POST), cleaning (PUT), or removing clutter (DELETE). Path parameters are like room numbers, helping you locate specific rooms. Query parameters are like filters in a library, helping you find books by genre or author. The request body is like a package you send to a friend, containing specific items.

Understanding these concepts will enable you to build robust and flexible APIs with FastAPI.