Writing Restful Web Services In Python

Writing Restful Web Services In Python-47
The threatstack-to-s3 service takes Threat Stack webhook HTTP requests in and stores a copy of the alert data in S3.This is where I store the set of API endpoints that allow someone to do this.

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If an endpoint's job is to take data in and copy it to S3, make it perform that function, but hide the details of how that was done in the application models.

Views should mostly represent the actions a consumer wants to see happen, while the details (which consumers shouldn't care about) live in the application models (described later).

This lets me logically group related portions of my API. Modular Applications with Blueprints documentation on the Flask website.

Explore Flask is a book about best practices and patterns for developing web applications with Flask.

For information on installing dependencies, see the Setup section of this The logic for the application is underneath this directory.

Threatstack-to-s3.py: This is the application launcher. It can be run directly using "python" if you are doing local debugging, or it can be passed as an argument to "gunicorn" as the application entry point. As I mentioned earlier, I have chosen to break the app into a collection of smaller modules rather than use a single, monolithic module file.

The service will provide an endpoint to: But before I jump in, keep a couple of things to keep in mind.

First, I will not be bothering with any sort of frontend display functionality, so you don't need to worry about HTML or CSS.

Remember: When building APIs, URL paths should represent nouns and HTTP request methods should represent verbs.

Now I'll walk through some key parts of the module.

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