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A wrapper for REST APIs

Project description

Abstraction for HTTP based REST APIs. This provides a means to generically handle serialization (JSON) and URI mapping as seen in many of the REST APIs published these days. Currently Tastypie APIs are the primary target but the system should be compossible enough to work with other APIs if they work roughly the same way.


  • Requests (sync mode)
  • Tornado (async mode)


python ./ build
python ./ install


  • Python 2.7
  • Python 3.3+


  • Unified authentication between HTTP adapters.
  • Documentation

Getting Started

Syndicate has two basic modes for communicating with an API, sync and async. The sync mode uses the ‘requests’ library as the HTTP adapter and the async mode uses the ‘tornado’ web framework. An adapter can be provided by the user if they have their own backend to use too; Twisted for example.

In either mode, your interface is a ‘Service’ instance, which facilitates authentication, session management (via an adapter) and serialization.

Synchronous Examples

Creating a connnection

Instantiate a service class with some basic descriptions of the remote API to get a persistent connection.

import syndicate

bakery = syndicate.Service(uri='https://a.bakery.fake', urn='/api/v1/',
                           auth=('mrpresident', '1000xlight_points'))

Simple GET

Fetch all the resources at https://a.bakery.fake/api/v1/cake/

for x in bakery.get('cake'):
    print("Cake is food:", x)

Delete with filter

Keyword arguments are converted to URL queries. To filter by an exact field match such as https://a.bakery.fake/api/v1/cake/?type=cheese we simply add the ‘type’ keyword to the () call. This example deletes all cheese cakes because I hate cheese.

for x in bakery.get('cake', type='cheese'):

Update a resource

Resources implement the mapping protocol so they work like dictionaries.

default = bakery.get('condiment', default=True)
if 'pepper' not in def['items']:
    print("We already serve pepper by default")

Adding a new resource

new_owl ='cake', {
    "type": "chuck_norris",
    "name": "Round House",
    "scovilles": 16000000001  # sorry resiniferatoxin

Fetching a subresource

A subresource is probably what you would expect, a resource inside another resource. Here we get, https://a.bakery.fake/api/v1/thing/100/subthing/.

thing = bakery.get('thing', 100)
subthing = thing.fetch('subthing')

Non CRUD methods

If your service has non CRUD methods, you can ask a service to “do” things directly. Let’s “BAKE /api/v1/cake/100” with some instructions in the content body.'bake', 'cake', 100, temp=420, time=3600)

Asynchronous Examples

Async service connections use Tornado, If this is your first time doing async programming or using tornado, you should get familiar with it first.

Tornado Docs:

The examples below assume you are running your code from a IOLoop callback in the same thread as the IOLoop runner. Most of the calls made to an async service return concurrent.Future objects so you can use all the fun patterns available to Tornado applications.

Creating a service connnection with Basic auth

import syndicate

bakery = syndicate.Service(uri='https://a.bakery.fake', urn='/api/v1/',
                           auth=('mrpresident', '1000xlight_points'),

Using Future objects directly (good)

future_result = bakery.get('cake')

def handle_response(f):
    for x in f.result():
        print("Cake is food:", x)


Using Future objects indirectly (better)

def handle_response(f):
    for x in f.result():
        print("Cake is food:", x)

bakery.get('cake', callback=handle_response)

Using Future objects as yield points (best)

NOTE: You must using the @tornado.gen.coroutine decorator from your IOLoop callback. A typical example is a web server URL handler that needs to fetch foreign data.

def my_application_hook():
    cakes = yield bakery.get('cake')
    for x in cakes:
        print("Cake is food:", x)
    return cakes

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