leovantoji / fast-api-sanjeev

Fast-API Course by Sanjeev Thiyagarajan

Course Overview

We'll build a full-fledged API in Python using FastAPI. We'll also learn the fundamentals of API design including routes, serialisation/deserialisation, schema validation and models. In addition, we'll learn about SQL, testing with pytest and how to build out a CI/CD pipeline using GitHub Actions.

Course

Tools

Detailed course contents

Section 1: Introduction

• 00:00 Intro
• 06:33 Project Overview

Section 2: Setup & Installation

• 11:22 Mac Python Installation
• 13:15 Mac VS Code install and setup
• 16:37 Windows Python Installation
• 18:30 Windows VS Code install and setup
• 22:11 Python virtual Env Basics
• 24:35 Virtual Env on windows
• 28:56 Virtual Env on Mac

Section 3: FastAPI

• 34:17 Install dependencies w/ pip
• 36:21 Starting FastAPI
• 39:23 Path Operations
• 53:22 Intro postman
• 57:34 HTTP Requests
• 1:07:29 Schema Validation with Pydantic
• 1:22:45 CRUD Operations
• 1:29:44 Storing in Array
• 1:34:06 Creating
• 1:38:15 Postman Collections & saving requests
• 1:39:47 Retrieve One
• 1:48:10 Path order Matters
• 1:52:46 Changing response Status Codes
• 2:01:49 Deleting
• 2:10:31 Updating
• 2:18:02 Automatic Documentation
• 2:21:34 Python packages

Section 4: Databases

• 2:24:11 Database Intro
• 2:28:54 Postgres Windows Install
• 2:31:28 Postgres Mac Install
• 2:34:26 Database Schema & Tables
• 2:44:35 Managing Postgres with PgAdmin GUI
• 3:12:10 Your first SQL Query
• 3:19:43 Filter results with - "where"
• 3:22:55 SQL Operators
• 3:26:38 IN
• 3:28:07 Pattern matching with LIKE
• 3:31:59 Ordering Results
• 3:36:27 LIMIT & OFFSET
• 3:39:21 Modifying Data

Section 5: Python + Raw SQL

• 3:53:48 Setup App Database
• 3:58:21 Connecting to database w/ Python
• 4:08:00 Database CRUD

Section 6: ORM

• 4:31:18 ORM intro
• 4:35:33 SQLALCHEMY setup
• 4:55:25 Adding CreatedAt Column
• 5:00:59 Get All
• 5:07:55 Create
• 5:15:50 Get by ID
• 5:19:50 Delete
• 5:22:31 Update

Section 7: Pydantic Models

• 5:28:21 Pydantic vs ORM Models
• 5:32:21 Pydantic Models Deep Dive
• 5:38:57 Response Model

Section 8: Authentication & Users

• 5:50:08 Creating Users Table
• 5:54:50 User Registration Path Operation
• 6:03:27 Hashing Passwords
• 6:08:49 Refactor Hashing Logic
• 6:10:32 Get User by ID
• 6:17:13 FastAPI Routers
• 6:27:34 Router Prefix
• 6:30:31 Router Tags
• 6:32:49 JWT Token Basics
• 6:47:03 Login Process
• 7:00:44 Creating Token
• 7:09:58 OAuth2 PasswordRequestForm
• 7:13:23 Verify user is Logged In
• 7:25:21 Fixing Bugs
• 7:27:59 Protecting Routes
• 7:36:17 Test Expired Token
• 7:38:13 Fetching User in Protected Routes
• 7:42:44 Postman advanced Features

Section 9: Relationships

• 7:50:33 SQL Relationship Basics
• 7:54:59 Postgres Foreign Keys
• 8:07:20 SQLAlchemy Foreign Keys
• 8:13:40 Update Schema to include User
• 8:17:59 Assigning Owner id when creating new
• 8:21:01 Delete and Update only your own
• 8:27:48 Only Retrieving Logged in User's
• 8:33:37 SQLAlchemy Relationships
• 8:38:32 Query Parameters
• 8:50:46 Cleanup our main.py file
• 8:53:53 Env Variables

Section 10: Vote/Like System

• 9:21:20 Vote/Like Theory
• 9:26:36 Votes Table
• 9:31:33 Votes SQLAlchemy
• 9:34:11 Votes Route
• 9:52:31 SQL Joins
• 10:15:26 Joins in SQLAlchemy
• 10:28:21 Get One with Joins

Section 11: Database Migration with `Alembic`

• 10:30:18 What is a database migration tool
• 10:33:45 Alembic Setup
• 11:13:50 Disable SQLAlchemy create Engine

Section 12: Pre-Deployment Checklist

• 11:14:28 What is CORS?
• 11:23:38 Git PreReqs
• 11:27:40 Git Install
• 11:29:23 Github

Section 13: Deployment `Heroku`

• 11:34:39 Heroku intro
• 11:35:40 Create Heroku App
• 11:40:21 Heroku procfile
• 11:44:59 Adding a Postgres database
• 11:48:42 Env Variables in Heroku 11:58:59 Alembic migrations on Heroku Postgres instance
• 12:02:52 Pushing changed to production

Section 14: Deployment Ubuntu

• 12:05:04 Create an Ubuntu VM
• 12:08:04 Update packages
• 12:10:47 Install Python
• 12:12:21 Install Postgres & setup password
• 12:17:28 Postgres Config 12:24:50 Create new user and setup python evironment
• 12:34:06 Env Variables
• 12:42:24 Alembic migrations on production database
• 12:45:57 Gunicorn
• 12:54:12 Creating a Systemd service
• 13:04:45 NGINX
• 13:10:45 Setting up Domain name
• 13:15:19 SSL/HTTPS
• 13:19:31 NGINX enable
• 13:20:06 Firewall
• 13:23:47 Pushing code changes to Production

Section 15: Docker

• 13:26:09 Dockerfile
• 13:38:39 Docker Compose
• 13:48:34 Postgres Container
• 13:56:22 Bind Mounts
• 14:03:39 Dockerhub
• 14:08:08 Production vs Development

Section 16: Testing

• 14:14:51 Testing Intro
• 14:17:19 Writing your first test
• 14:30:22 The -s & -v flags
• 14:31:44 Testing more functions
• 14:35:29 Parametrize
• 14:40:21 Testing Classes
• 14:48:37 Fixtures
• 14:55:40 Combining Fixtures + Parametrize
• 14:59:13 Testing Exceptions
• 15:06:07 FastAPI TestClient
• 15:14:26 Pytest flags
• 15:17:31 Test create user
• 15:25:23 Setup testing database
• 15:36:47 Create & destroy database after each test
• 15:44:18 More Fixtures to handle database interaction
• 15:50:35 Trailing slashes in path
• 15:53:12 Fixture scope
• 16:07:50 Test user fixture
• 16:14:40 Test/validate token
• 16:18:59 Conftest.py
• 16:22:09 Testing

Section 17: CI/CD Pipeline

• 17:34:15 CI/CD intro
• 17:43:29 Github Actions
• 17:49:32 Creating Jobs
• 17:57:38 setup python/dependencies/pytest
• 18:06:14 Env variables
• 18:11:19 Github Secrets
• 18:18:14 Testing database
• 18:23:42 Building Docker images
• 18:34:33 Deploy to heroku
• 18:49:10 Failing tests in pipeline
• 18:52:18 Deploy to Ubuntu