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    "info": {
        "author": "Bigcommerce Engineering",
        "author_email": "api@bigcommerce.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Internet :: WWW/HTTP",
            "Topic :: Office/Business",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "Bigcommerce API Python Client\n==================================\n\n|Build Status| |Package Version|\n\nWrapper over the ``requests`` library for communicating with the Bigcommerce v2 API.\n\nInstall with ``pip install bigcommerce`` or ``easy_install bigcommerce``. Tested with\npython 2.7.7+ and 3.4, and only requires ``requests`` and ``pyjwt``.\n\nUsage\n-----\n\nConnecting\n~~~~~~~~~~\n\n.. code:: python\n\n    import bigcommerce\n\n    # Public apps (OAuth)\n    # Access_token is optional, if you don't have one you can use oauth_fetch_token (see below)\n    api = bigcommerce.api.BigcommerceApi(client_id='', store_hash='', access_token='')\n\n    # Private apps (Basic Auth)\n    api = bigcommerce.api.BigcommerceApi(host='store.mybigcommerce.com', basic_auth=('username', 'api token'))\n\n``BigcommerceApi`` also provides two helper methods for connection with OAuth2:\n\n-  ``api.oauth_fetch_token(client_secret, code, context, scope, redirect_uri)``\n   -- fetches and returns an access token for your application. As a\n   side effect, configures ``api`` to be ready for use.\n\n-  ``BigcommerceApi.oauth_verify_payload(signed_payload, client_secret)``\n   -- Returns user data from a signed payload.\n\nAccessing and objects\n~~~~~~~~~~~~~~~~~~~~~\n\nThe ``api`` object provides access to each API resource, each of which\nprovides CRUD operations, depending on capabilities of the resource:\n\n.. code:: python\n\n    api.Products.all()                         # GET /products (returns only a single page of products as a list)\n    api.Products.iterall()                     # GET /products (autopaging generator that yields all\n                                               #                  products from all pages product by product.)\n    api.Products.get(1)                        # GET /products/1\n    api.Products.create(name='', type='', ...) # POST /products\n    api.Products.get(1).update(price='199.90') # PUT /products/1\n    api.Products.delete_all()                  # DELETE /products\n    api.Products.get(1).delete()               # DELETE /products/1\n    api.Products.count()                       # GET /products/count\n\nThe client provides full access to subresources, both as independent\nresources:\n\n::\n\n    api.ProductOptions.get(1)                  # GET /products/1/options\n    api.ProductOptions.get(1, 2)               # GET /products/1/options/2\n\nAnd as helper methods on the parent resource:\n\n::\n\n    api.Products.get(1).options()              # GET /products/1/options\n    api.Products.get(1).options(1)             # GET /products/1/options/1\n\nThese subresources implement CRUD methods in exactly the same way as\nregular resources:\n\n::\n\n    api.Products.get(1).options(1).delete()\n\nFilters\n~~~~~~~\n\nFilters can be applied to ``all`` methods as keyword arguments:\n\n.. code:: python\n\n    customer = api.Customers.all(first_name='John', last_name='Smith')[0]\n    orders = api.Orders.all(customer_id=customer.id)\n\nError handling\n~~~~~~~~~~~~~~\n\nMinimal validation of data is performed by the client, instead deferring\nthis to the server. 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This can\nbe accessed through ``api.connection``, and provides helper methods for\nget/post/put/delete operations.\n\nManaging OAuth Rate Limits\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nYou can optionally pass a ``rate_limiting_management`` object into ``bigcommerce.api.BigcommerceApi`` or ``bigcommerce.connection.OAuthConnection`` for automatic rate limiting management, ex:\n\n.. code:: python\n\n    import bigcommerce\n\n    api = bigcommerce.api.BigcommerceApi(client_id='', store_hash='', access_token=''\n                                         rate_limiting_management= {'min_requests_remaining':2,\n                                                                    'wait':True,\n                                                                    'callback_function':None})\n\n``min_requests_remaining`` will determine the number of requests remaining in the rate limiting window which will invoke the management function\n\n``wait`` determines whether or not we should automatically sleep until the end of the window\n\n``callback_function`` is a function to run when the rate limiting management function fires. 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For more complex applications that may be parallelizing API requests on a given store, it's adviseable to write your own callback function for handling the rate limiting, use a ``min_requests_remaining`` higher than your concurrency, and not use the default wait function.\n\nFurther documentation\n---------------------\n\nFull documentation of the API is available on the Bigcommerce\n`Developer Portal <http://developer.bigcommerce.com>`__\n\nTo do\n-----\n\n-  Automatic enumeration of multiple page responses for subresources.\n\n.. |Build Status| image:: https://api.travis-ci.org/bigcommerce/bigcommerce-api-python.svg?branch=master\n   :target: https://travis-ci.org/bigcommerce/bigcommerce-api-python\n.. |Package Version| image:: https://badge.fury.io/py/bigcommerce.svg\n   :target: https://pypi.python.org/pypi/bigcommerce\n\n\n",
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