#HTTPIE NESTED JSON CODE#

Another alternative is Serpy which was designed to be very fast, and came top of a benchmark comparison. One is Toasted Marshmallow, which can run several times faster than Marshmallow. The advantage they generally offer over Marshmallow is speed. While Marshmallow is the most used serialiser for Flask APIs, there are a number of alternatives. Using Webargs makes sense if your project has a sufficient number of POST endpoints that it is worth the extra dependency and setup, but it isn’t essential. route ( '/complex/' ) def complex_controller ( person_id ): person = Person.

#HTTPIE NESTED JSON CODE#

All that is needed is to return a dictionary (and an appropriate HTTP status code if other than the default 200 OK), and the framework will automatically handle it for app. In Flask, sending JSON back from endpoints is easy. The data comes from database queries, with your code acting as a bridge between the database and the JSON output: It is now normal for the backend to provide an API that returns JSON to be consumed by a frontend which has no direct control over how the server side works.

The growth of Single Page Applications has meant that communication with a separate frontend has become more important than rendering HTML templates using engines like Jinja2. This article is intended to reduce the time required to learn one aspect of Flask, by reviewing the options for marshalling data. More opinionated frameworks like Django can actually be easier, in so far as some of these choices are made for you, removing the need to invest so much effort in weighing up alternatives. Instead, a significant part of learning the framework involves picking and choosing between the many extensions and libraries that are available. Flask’s advantage is how lightweight it is: nothing has to be installed that isn’t needed.

Httpie nested json