Skip to main content

A generic python REST client

Project description

qrest is a Python package that allows you to easily build a Python client to access a REST API. To show how it works, we use it to access the REST API of the JSONPlaceholder website, which provides dummy data for testing and prototyping purposes.

The following Python snippet sends a HTTP GET request to retrieve all “posts”, which is one of the resources of the website:

import pprint
import requests

response = requests.request("GET", "")

This snippet outputs:

[{'body': 'quia et suscipit\n'
          'suscipit recusandae consequuntur expedita et cum\n'
          'reprehenderit molestiae ut ut quas totam\n'
          'nostrum rerum est autem sunt rem eveniet architecto',
 'id': 1,
 'title': 'sunt aut facere repellat provident occaecati excepturi optio '
 'userId': 1},
{'body': 'est rerum tempore vitae\n'
         'sequi sint nihil reprehenderit dolor beatae ea dolores neque\n'
         'fugiat blanditiis voluptate porro vel nihil molestiae ut '
         'qui aperiam non debitis possimus qui neque nisi nulla',
 'id': 2,
 'title': 'qui est esse',
 'userId': 1}]

The snippet uses the Python requests library to send the request. This library makes it very easy to query a REST API, but it requires the user to know the structure of the REST API, how to build calls to that API, how to parse responses etc. This is where qrest comes in: it allows you to configure a Python API that provides access to the information and hides the nitty-gritty details of writing REST API code. For example, using qrest the code to retrieve the posts looks like this:

import qrest
import jsonplaceholderconfig

api = qrest.API(jsonplaceholderconfig)

posts = api.all_posts()

If you want to retrieve the posts from a specific author:

import pprint

# all authors are numbered from 1 to 10
posts = api.filter_posts(user_id=7)

# only output the title of each post for brevity
titles = [post["title"] for post in posts]

which outputs:

['voluptatem doloribus consectetur est ut ducimus',
 'beatae enim quia vel',
 'voluptas blanditiis repellendus animi ducimus error sapiente et suscipit',
 'et fugit quas eum in in aperiam quod',
 'consequatur id enim sunt et et',
 'repudiandae ea animi iusto',
 'aliquid eos sed fuga est maxime repellendus',
 'odio quis facere architecto reiciendis optio',
 'fugiat quod pariatur odit minima',
 'voluptatem laborum magni']

The one thing you have to do is configure this API. The module jsonplaceholderconfig in the example above is configured like this:

from qrest import APIConfig, ResourceConfig, QueryParameter

class JSONPlaceholderConfig(APIConfig):
    url = ""

class AllPosts(ResourceConfig):

    name = "all_posts"
    path = ["posts"]
    method = "GET"
    description = "retrieve all posts"

class FilterPosts(ResourceConfig):

    name = "filter_posts"
    path = ["posts"]
    method = "GET"
    description = "retrieve all posts with a given title"

    user_id = QueryParameter(name="userId", description="the user ID of the author of the post")

For more information about qrest and its usage, we refer to the documentation.

If you want to contribute to qrest itself, we refer to the developer README that is located in the root directory of the repo.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qrest-4.1.2.tar.gz (36.7 kB view hashes)

Uploaded source

Built Distribution

qrest-4.1.2-py3-none-any.whl (37.6 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page