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
Dockerizing FastAPI Applications

Dockerizing FastAPI Applications

Key Concepts

Dockerizing FastAPI applications involves several key concepts:

Explaining Each Concept

1. Docker

Docker is a platform that allows you to package your application and its dependencies into a container. This container can then be run on any machine that has Docker installed, ensuring consistency across different environments.

2. Dockerfile

A Dockerfile is a text document that contains all the commands to assemble a Docker image. Each instruction in a Dockerfile creates a layer in the image, making it easy to manage and version.

Example:

FROM python:3.9-slim

WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80"]
    

3. Container

A container is a runtime instance of a Docker image. It includes the application code, runtime, system tools, libraries, and settings. Containers are lightweight and can be started, stopped, and deleted easily.

4. Image

A Docker image is a read-only template with instructions for creating a Docker container. Images are built from a Dockerfile and can be stored in a registry like Docker Hub.

5. Docker Compose

Docker Compose is a tool for defining and running multi-container Docker applications. It uses a YAML file to configure the application's services and allows you to start all services with a single command.

Example:

version: '3.8'

services:
  web:
    build: .
    ports:
      - "8000:80"
    volumes:
      - .:/app
    environment:
      - ENV_VAR=value
    

6. Port Mapping

Port mapping is the process of forwarding traffic from one port on the host to a port inside the container. This allows you to access the application running inside the container from the host machine.

Example:

docker run -p 8000:80 my-fastapi-app
    

7. Volumes

Volumes are a mechanism for persisting data generated by and used by Docker containers. They allow data to be shared between the host and the container, ensuring that data is not lost when the container is stopped or deleted.

Example:

docker run -v /host/data:/container/data my-fastapi-app
    

Analogies

Think of Docker as a shipping container that holds all the necessary parts of your application. The Dockerfile is like the blueprint for building this container. The container itself is like a sealed box that can be transported and opened anywhere. The image is like a snapshot of the container's contents. Docker Compose is like a shipping manifest that lists all the containers in a shipment. Port mapping is like connecting a hose to a water tank to access its contents. Volumes are like removable storage compartments that can be added or removed from the container.

By mastering these concepts, you can effectively Dockerize your FastAPI applications, ensuring they are portable, consistent, and easy to manage across different environments.