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This should substantially improve the repeat-rendering time for pages with large numbers of tweets since we don't need to go all the way to twitter.com, which can take like a second, to render tweets properly. To deploy this commit properly, one needs to run ./manage.py createcachetable third_party_api_results (imported from commit 01b528e61f9dde2ee718bdec0490088907b6017e)
76 lines
2.3 KiB
Python
76 lines
2.3 KiB
Python
from functools import wraps
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from django.core.cache import cache as djcache
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from django.core.cache import get_cache
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def cache_with_key(keyfunc):
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"""Decorator which applies Django caching to a function.
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Decorator argument is a function which computes a cache key
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from the original function's arguments. You are responsible
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for avoiding collisions with other uses of this decorator or
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other uses of caching."""
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def decorator(func):
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@wraps(func)
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def func_with_caching(*args, **kwargs):
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key = keyfunc(*args, **kwargs)
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val = djcache.get(key)
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# Values are singleton tuples so that we can distinguish
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# a result of None from a missing key.
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if val is not None:
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return val[0]
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val = func(*args, **kwargs)
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djcache.set(key, (val,))
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return val
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return func_with_caching
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return decorator
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def cache(func):
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"""Decorator which applies Django caching to a function.
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Uses a key based on the function's name, filename, and
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the repr() of its arguments."""
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func_uniqifier = '%s-%s' % (func.func_code.co_filename, func.func_name)
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@wraps(func)
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def keyfunc(*args, **kwargs):
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# Django complains about spaces because memcached rejects them
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key = func_uniqifier + repr((args, kwargs))
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return key.replace('-','--').replace(' ','-s')
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return cache_with_key(keyfunc)(func)
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def db_cache_with_key(keyfunc):
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"""Decorator which applies Django caching to a function.
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Decorator argument is a function which computes a cache key
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from the original function's arguments. You are responsible
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for avoiding collisions with other uses of this decorator or
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other uses of caching."""
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def decorator(func):
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@wraps(func)
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def func_with_caching(*args, **kwargs):
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key = keyfunc(*args, **kwargs)
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database_cache = get_cache("database")
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val = database_cache.get(key)
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# Values are singleton tuples so that we can distinguish
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# a result of None from a missing key.
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if val is not None:
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return val[0]
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val = func(*args, **kwargs)
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database_cache.set(key, (val,))
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return val
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return func_with_caching
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return decorator
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