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Hands-On APIs for AI and Data Science
book

Hands-On APIs for AI and Data Science

by Ryan Day
March 2025
Intermediate to advanced
352 pages
8h 51m
English
O'Reilly Media, Inc.
Content preview from Hands-On APIs for AI and Data Science

Chapter 4. Developing the FastAPI Code

In Chapter 3, you created your database and the Python code to access the database. In this chapter, you will build on this foundation code to create a working API. Table 4-1 lists the endpoints that you will create to fulfill these user stories.

Table 4-1. Endpoints for the SWC Fantasy Football API
Endpoint description HTTP verb URL

API health check

GET

/

Read player list

GET

/v0/players/

Read individual player

GET

/v0/players/{player_id}/

Read performance list

GET

/v0/performances/

Read league list

GET

/v0/leagues/

Read individual league

GET

/v0/leagues/{league_id}/

Read team list

GET

/v0/teams/

Read counts

GET

/v0/counts/

You are using version 0 for your API. This will notify API consumers that the product is changing rapidly and they should be aware of potential breaking changes—changes that cause functionality to stop working and may require consumers to make changes in their program code.

Continuing Your Portfolio Project

Figure 4-1 shows the same API components you saw previously, with one addition: the Uvicorn web server. Uvicorn will execute your API code and interact with API requests.

API components with Uvicorn
Figure 4-1. API components with Uvicorn

In Chapter 3, you completed two very important parts of the API: the SQLite database and the SQLAlchemy classes that enable Python to interact with the data. In this chapter, you will ...

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Publisher Resources

ISBN: 9781098164409Errata Page