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floraconcierge-client 0.2.4

FloraExpress API python client library. www.floraexpress.ru

Latest Version: 0.7.17

Version 0.2.3

FloraConcierge is worldwide flowers delivery service. We provide api services for
building your own flowers delivery e-commerce and submit users orders into our system.

All information at http://www.floraexpress.ru/

You can simple install floraconcierge api client into your django environment by adding middleware
`floraconcierge.middleware.ApiClientMiddleware` to your `MIDDLEWARE_CLASSES`.

Also you can add `floraconcierge.middleware.ApiObjectNotFound404` to your middlewares for automatic 404 pages when
api result raises ResultObjectNotFoundError.

Available settings
------------------

All settings used in middleware only, if you want manual initiation of api client object, you can do it yourself.

* `FLORACONCIERGE_API_ID` Required. Your application ID.

* `FLORACONCIERGE_API_SECRET` Required. Your application secret.

* `FLORACONCIERGE_API_INIT_ENV` Optional. You can setup custom init function for env setup. Function takes params
`client, request, restored` where client is ApiClient instance, request is django request object and restored is flag
variable indicating client env was restored from request session.

* `FLORACONCIERGE_API_INIT_CLIENT` Optional. Custom api client initiation function. By default middleware initiate
client with function `floraconcierge.middleware.initialize_apiclient`. You can se your own function. Function take
only one param `request`.

Django debug toolbar panel
--------------------------

Also available debug panel for django. You can add `floraconcierge.panels.FloraConciergeRequests` to django debug
panels settings `DEBUG_TOOLBAR_PANELS`.

Collection methods
------------------

Now you can search throught your result collections with find/findall methods.

Request cache middleware
------------------------

FloraConcierge api provides simple request lifetime cache object for caching offen queried data on page. This cache
cleares automatically every next request.

You can add `floraconcierge.middleware.RequestCacheMiddleware` to your `MIDDLEWARE_CLASSES` and get request cache
instance with function `floraconcierge.cache.get_request_cache()`.

You must inherit your cache object from `floraconcierge.cache.RequestCache` and setup it via `FLORACONCIERGE_CACHE_CLASS`.  
File Type Py Version Uploaded on Size
floraconcierge-client-0.2.4.tar.gz (md5) Source 2014-07-30 15KB
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