This module makes writing client API for REST services as easy as GET('my_api/{some_param}')
Project description
Writing python API for REST service is a quite boring task. prest is intended to do all monkey work for you. Take a look at example:
from prest import EasyRestBase, GET, POST, DELETE class MyRestfullAPI(EasyRestBase): list_objs = GET('objects') get_obj = GET('objects/{0}') del_obj = DELETE('objects/{0}') create_obj = POST('objects') select_objs = GET('objects/filter') objs_by_type = GET('objects/{type}') conn = MyRestfullAPI("http://some.api.com/my_api/v2.0") print conn.list_objs() obj_id = conn.create_obj()['id'] conn.select_objs(color='read') conn.del_obj(obj_id) conn.objs_by_type(type='red')
There 6 basic functions for http methods: GET, POST, PUT, PATCH, DELETE, HEAD. Each of them requires relative path and returns function. This function, in its turn, gets connection and a set of parameters, insert some of them in url (if there a placeholders), attach all the rest as GET/POST parameters and make a http request. Receive a result, unpack it and return.
So you need only one line to make an API func for each REST call.
In case if result of GET/… calls is assigned to class method of class inherited from PRestBase then call gets connection from self.
Meanwhile you can use it separately:
from prest import GET, Urllib2HTTP_JSON get_cluster_data = GET('data/{cluster_id}') conn = Urllib2HTTP_JSON("http://my_api.org") print get_cluster_data(conn, cluster_id=11)
Both Urllib2HTTP_JSON and PRestBase accepts dictionary of additional headers end echo parameters. Urllib2HTTP_JSON uses json.dumps and json.loads to serialize and deserialize data accordingly.
There also an object-oriented API - please take a look on test_prest.py. I wrote no documentation for it, as it currently breaks 17th rule of python Zen.
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