Files
edx-platform/common/djangoapps/request_cache/middleware.py
2017-02-27 00:39:22 -05:00

115 lines
3.8 KiB
Python

"""
An implementation of a RequestCache. This cache is reset at the beginning
and end of every request.
"""
import crum
import threading
class _RequestCache(threading.local):
"""
A thread-local for storing the per-request cache.
"""
def __init__(self):
super(_RequestCache, self).__init__()
self.data = {}
REQUEST_CACHE = _RequestCache()
class RequestCache(object):
@classmethod
def get_request_cache(cls, name=None):
"""
This method is deprecated. Please use :func:`request_cache.get_cache`.
"""
if name is None:
return REQUEST_CACHE
else:
return REQUEST_CACHE.data.setdefault(name, {})
@classmethod
def get_current_request(cls):
"""
This method is deprecated. Please use :func:`request_cache.get_request`.
"""
return crum.get_current_request()
@classmethod
def clear_request_cache(cls):
"""
Empty the request cache.
"""
REQUEST_CACHE.data = {}
def process_request(self, request):
self.clear_request_cache()
return None
def process_response(self, request, response):
self.clear_request_cache()
return response
def process_exception(self, request, exception): # pylint: disable=unused-argument
"""
Clear the RequestCache after a failed request.
"""
self.clear_request_cache()
return None
def request_cached(f):
"""
A decorator for wrapping a function and automatically handles caching its return value, as well as returning
that cached value for subsequent calls to the same function, with the same parameters, within a given request.
Notes:
- we convert arguments and keyword arguments to their string form to build the cache key, so if you have
args/kwargs that can't be converted to strings, you're gonna have a bad time (don't do it)
- cache key cardinality depends on the args/kwargs, so if you're caching a function that takes five arguments,
you might have deceptively low cache efficiency. prefer function with fewer arguments.
- we use the default request cache, not a named request cache (this shouldn't matter, but just mentioning it)
- benchmark, benchmark, benchmark! if you never measure, how will you know you've improved? or regressed?
Arguments:
f (func): the function to wrap
Returns:
func: a wrapper function which will call the wrapped function, passing in the same args/kwargs,
cache the value it returns, and return that cached value for subsequent calls with the
same args/kwargs within a single request
"""
def wrapper(*args, **kwargs):
"""
Wrapper function to decorate with.
"""
# Check to see if we have a result in cache. If not, invoke our wrapped
# function. Cache and return the result to the caller.
rcache = RequestCache.get_request_cache()
cache_key = func_call_cache_key(f, *args, **kwargs)
if cache_key in rcache.data:
return rcache.data.get(cache_key)
else:
result = f(*args, **kwargs)
rcache.data[cache_key] = result
return result
wrapper.request_cached_contained_func = f
return wrapper
def func_call_cache_key(func, *args, **kwargs):
"""
Returns a cache key based on the function's module
the function's name, and a stringified list of arguments
and a query string-style stringified list of keyword arguments.
"""
converted_args = map(str, args)
converted_kwargs = map(str, reduce(list.__add__, map(list, sorted(kwargs.iteritems())), []))
cache_keys = [func.__module__, func.func_name] + converted_args + converted_kwargs
return '.'.join(cache_keys)