Book Image

Building Data Science Applications with FastAPI

By : François Voron
5 (1)
Book Image

Building Data Science Applications with FastAPI

5 (1)
By: François Voron

Overview of this book

FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, you’ll be able to create fast and reliable data science API backends using practical examples. This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. You'll be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, you’ll cover best practices relating to testing and deployment to run a high-quality and robust application. You’ll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you’ll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, you’ll see how to implement a real-time face detection system using WebSockets and a web browser as a client. By the end of this FastAPI book, you’ll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI.
Table of Contents (19 chapters)
1
Section 1: Introduction to Python and FastAPI
7
Section 2: Build and Deploy a Complete Web Backend with FastAPI
13
Section 3: Build a Data Science API with Python and FastAPI

Installing the HTTPie command-line utility

Before getting into the heart of the topic, there is one last tool that we'll install. FastAPI is, as you probably know, mainly about building REST APIs. To do so, you have several options:

  • FastAPI automatic documentation (we'll talk about this later in the book)
  • Postman, a GUI tool to perform HTTP requests
  • cURL, the well-known and widely used command-line tool to perform network requests

Even if visual tools are nice and easy to use, they sometimes lack some flexibility and may not be as productive as command-line tools. On the other hand, cURL is a very powerful tool with thousands of options but can be complex and verbose for testing simple REST APIs.

This is why we'll introduce HTTPie, a command-line tool aimed at making HTTP requests with an intuitive syntax, JSON support, and syntax highlighting. It's available to install from most package managers:

  • macOS users, use this:
    $ brew install httpie
  • Ubuntu users, use this:
    $ sudo apt-get update; sudo apt-get install httpie

Let's see how to perform simple requests on a dummy API:

  1. First, let's retrieve data:
    $ http GET https://603cca51f4333a0017b68509.mockapi.io/todos
    HTTP/1.1 200 OK
    Content-Length: 195
    Content-Type: application/json
    [
        {
            "id": "1",
            "text": "Island"
        }
    ]

As you can see, you can invoke HTTPie with the http command and simply type the HTTP method and the URL. It outputs both the HTTP headers and the JSON body in a clean and formatted way.

  1. HTTPie also supports sending JSON data in a request body very quickly without having to format the JSON yourself:
    $ http -v POST https://603cca51f4333a0017b68509.mockapi.io/todos text="My new task"
    POST /todos HTTP/1.1
    Accept: application/json, */*;q=0.5
    User-Agent: HTTPie/2.3.0
    {
        "text": "My new task"
    }
    HTTP/1.1 201 Created
    Content-Length: 31
    Content-Type: application/json
    {
        "id": "6",
        "text": "My new task"
    }

By simply typing the property name and its value separated by =, HTTPie will understand that it's part of the request body in JSON. Notice here that we specified the -v option, which tells HTTPie to output the request before the response, which is very useful to check that we properly specified the request.

  1. Finally, let's see how we can specify request headers:
    $ http -v GET https://603cca51f4333a0017b68509.mockapi.io/todos "My-Header: My-Header-Value"
    GET /todos HTTP/1.1
    Accept: */*
    My-Header: My-Header-Value
    User-Agent: HTTPie/2.3.0
    HTTP/1.1 200 OK
    Content-Length: 227
    Content-Type: application/json
    [
        {
            "id": "1",
            "text": "Island"
        }
    ]

That's it! Just type your header name and value separated by a colon to tell HTTPie it's a header.