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Building Python Web APIs with FastAPI

You're reading from   Building Python Web APIs with FastAPI A fast-paced guide to building high-performance, robust web APIs with very little boilerplate code

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801076630
Length 216 pages
Edition 1st Edition
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Author (1):
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Abdulazeez Abdulazeez
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Abdulazeez
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Toc

Table of Contents (14) Chapters Close

Preface 1. Part 1: An Introduction to FastAPI
2. Chapter 1: Getting Started with FastAPI FREE CHAPTER 3. Chapter 2: Routing in FastAPI 4. Chapter 3: Response Models and Error Handling 5. Chapter 4: Templating in FastAPI 6. Part 2: Building and Securing FastAPI Applications
7. Chapter 5: Structuring FastAPI Applications 8. Chapter 6: Connecting to a Database 9. Chapter 7: Securing FastAPI Applications 10. Part 3: Testing And Deploying FastAPI Applications
11. Chapter 8: Testing FastAPI Applications 12. Chapter 9: Deploying FastAPI Applications 13. Other Books You May Enjoy

Setting up MongoDB

There are a number of libraries that allow us to integrate MongoDB into our FastAPI application. However, we’ll be using Beanie, an asynchronous Object Document Mapper (ODM) library, to execute database operations from our application.

Let’s install the beanie library by running the following command:

(venv)$ pip install beanie

Before diving into the integration, let’s look at some of the methods from the Beanie library and also how database tables are created in this section.

Document

In SQL, the data stored in rows and columns are contained in the table. In a NoSQL database, it is called a document. The document represents how the data will be stored in the database collection. Documents are defined the same way a Pydantic model is defined, except that the Document class from the Beanie library is inherited instead.

An example document is defined as follows:

from beanie import Document
class Event(Document):
  ...
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