A WSGI middleware which processes ESI directives
Project description
This package implements an ESI Processor as a WSGI middeware. It is primarily aimed at development environments to simulate the production ESI Processor.
- The relevant specifications and documents are:
Completeness
This implementation currently only implements <esi:include>.
Performance
Realistically, under standard Python, WSGI middleware is synchronous. For an ESI Processor to reach very high levels of performance, it is probably necessary for it to be asynchronous. That probably puts an upper limit on the perfomance of this middleware.
However, depending on the situation, it may be performant enough.
Usage
>>> from wesgi import MiddleWare >>> from wsgiref.simple_server import demo_app
To use it in it’s default configuration for a development server:
>>> app = MiddleWare(demo_app)
To simulate an Akamai Production environment:
>>> app = MiddleWare(demo_app, policy='akamai')
To simulate an Akamai Production environment with “chase redirect” turned on:
>>> from wesgi import AkamaiPolicy >>> policy = AkamaiPolicy() >>> policy.chase_redirect = True >>> app = MiddleWare(demo_app, policy=policy)
If you wish to use it for a production server, it’s advisable to turn debug mode off and enable some kind of cache:
>>> from wesgi import LRUCache >>> from wesgi import Policy >>> policy.cache = LRUCache() >>> app = MiddleWare(demo_app, debug=False, policy=policy)
The LRUCache is a memory based cache using an approximation of the LRU algorithm. The good parts of it were inspired by Raymond Hettinger’s lru_cache recipe.
Other available caches that can be easily integrated are httplib2’s FileCache or memcache. See the httplib2 documentation for details.
CHANGES
0.6 (2011-07-06)
Features
Major refactoring to use httplib2 as the backend to get ESI includes. This brings along HTTP Caching.
A memory based implementation of the LRU caching algoritm at wesgi.LRUCache.
Handle ESI comments.
Bugfixes
Fix bug where regular expression to find src:includes could take a long time.
0.5 (2011-07-04)
Initial release.
Project details
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