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Python API Development Fundamentals

You're reading from   Python API Development Fundamentals Develop a full-stack web application with Python and Flask

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Product type Paperback
Published in Nov 2019
Publisher
ISBN-13 9781838983994
Length 372 pages
Edition 1st Edition
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Authors (3):
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Jack Chan Jack Chan
Author Profile Icon Jack Chan
Jack Chan
Jack Huang Jack Huang
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Jack Huang
Ray Chung Ray Chung
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Ray Chung
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Toc

Table of Contents (12) Chapters Close

Preface 1. Your First Step FREE CHAPTER 2. Starting to Build Our Project 3. Manipulating a Database with SQLAlchemy 4. Authentication Services and Security with JWT 5. Object Serialization with marshmallow 6. Email Confirmation 7. Working with Images 8. Pagination, Searching, and Ordering 9. Building More Features 10. Deployment Appendix

Flask-Limiter

Flask-Limiter is a Flask extension package that can let us easily add rate-limiting functionality to an endpoint. Apart from limiting the rate, it can also put the rate limit information in the HTTP header by using the RATELIMIT_HEADERS_ENABLED configuration. We, therefore, don't need to code the HTTP header information ourselves. Besides that, it also supports a configurable backend for storage with current implementations for Redis, in-memory, Memcached, and others.

We can even set multiple limits; we just need to delimit them using a delimiter. For example, we can set the limit to be 100 requests per minute and 1000 requests per hour, at the same time.

Use the following syntax to set up the rate limit for our API endpoint:

[count] [per|/] [n (optional)] [second|minute|hour|day|month|year]

Here are some examples:

100 per minute
100/minute
100/minute;1000/hour;5000/day

Now we understand how rate limits work. We will work on a practical exercise...

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