Preface
xviii
Chapter 6,
Using a Non-Relational Database, showcases the PyMongo and Motor engines, including
some popular Python
Object Document Mapper
(
ODMs
), which can connect FastAPI applications
to a MongoDB server.
Chapter 7,
Securing the REST APIs, highlights FastAPI’s built-in security module classes and explores
some third-party tools such as JWT, Keycloak, Okta, and Auth0 and how they are applied to implement
different security schemes to secure an application.
Chapter 8,
Creating Coroutines, Events, and Message-Driven Transactions, focuses on the details of
the asynchronous aspect of the FastAPI, such as the use of coroutines, the asyncio environment,
asynchronous background
processes using Celery, asynchronous messaging using RabbitMQ and
Apache Kafka, SSE, WebSocket, and asynchronous events.
Chapter 9,
Utilizing Other Advanced Features, contains other features that FastAPI can provide, such
as its support
for different response types, the customization of middleware, request and response,
the application of other JSON encoders, and the bypassing of the CORS browser policy.
Chapter 10,
Solving Numerical, Symbolic, and Graphical Problems, highlights the integration of FastAPI
with the
numpy
,
pandas
,
matplotlib
,
sympy
, and
scipy
modules to implement API services
that can perform numerical and symbolic computations to solve mathematical and statistical problems.
Chapter 11,
Adding Other Microservice Features, discusses
other architectural concerns, such as
monitoring and checking the properties of API endpoints at runtime, OpenTracing, client-side
service discovery,
managing repository modules, deployment, and creating monorepo architectures
with Flask and Django apps.
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