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توضیحات

A dependent cache manager

ویژگی	مقدار
سیستم عامل	-
نام فایل	CacheMan-2.2.0
نام	CacheMan
نسخه کتابخانه	2.2.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Matthew Seal
ایمیل نویسنده	mseal007@gmail.com
آدرس صفحه اصلی	https://github.com/MSeal/py_cache_manager
آدرس اینترنتی	https://pypi.org/project/CacheMan/
مجوز	New BSD

|Build Status| CacheMan ======== A Python interface for managing dependent caches. ‘Ba-Bop-Ba-Dop-Bop’ Description ----------- This module acts as a dependency manager for caches and is ideal for instances where a program has many repeated computations that could be safely persisted. This usually entails a DB layer to house key value pairs. However, such a layer is sometimes overkill and managing a DB along with a project can be more effort than it’s worth. That’s where CacheMan comes in and provides an interface through which you can define savers, loaders, builders, and dependencies with disk-based defaults. By default all caches will auto save when 10k changes occur over 60 seconds, 10 changes occur over 300 seconds (but after 60 seconds), or 1 change occurs within 900 seconds (after 300 seconds). This behavior can be changed by instantiating an AutoSyncCache from the autosync submodule. Dependencies ------------ psutil – for asynchronous cache saving Features -------- - Drop in replacement for local memory dictionaries - Default persistent pickle caches - Non-persistent caching - Cache load/save/delete hooks w/ defaults - Cache validation hooks - Cache builder hooks - Dependent invalidation - Auto-Syncing caches How to use ---------- Below are some simple examples for how to use the repository. Setting up a simple persistent cache ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :: from cacheman import cacher manager = cacher.get_cache_manager() # Optional manager name argument can be used here cache = manager.register_cache('my_simple_cache') # You now have a cache! print cache.get('my_key') # `None` first run, 'my_value' if this code was executed earlier cache['my_key'] = 'my_value' cache.save() # Changes are now persisted to disk manager.save_cache_contents('my_simple_cache') # Alternative way to save a cache Non-persistent caches ~~~~~~~~~~~~~~~~~~~~~ :: from cacheman import cacher manager = cacher.get_cache_manager() cache = manager.register_custom_cache('my_simple_cache', persistent=False) # You cache won't save to disk cache.save() # This is a no-op Registering hooks ~~~~~~~~~~~~~~~~~ :: from cacheman import cacher from cacheman import cachewrap def my_saver(cache_name, contents): print("Save requested on {} cache content: {}".format(cache_name, contents)) def my_loader(cache_name): return { 'load': 'faked' } manager = cacher.get_cache_manager() cache = cachewrap.PersistentCache('my_cache', saver=my_saver, loader=my_loader) # Can also use manager to set savers/loaders #manager.retrieve_cache('my_cache') #manager.register_saver('my_cache', my_saver) #manager.register_loader('my_cache', my_loader) cache.save() # Will print 'Save ... : { 'load': 'faked' }' cache['new'] = 'real' # Add something to the cache cache.save() # Will print 'Save ... : { 'load': 'faked', 'new': 'real' }' Dependent caches ~~~~~~~~~~~~~~~~ :: from cacheman import cacher manager = cacher.get_cache_manager() edge_cache = manager.retrieve_cache('edge_cache') root_cache = manager.register_cache('root_cache') manager.register_dependent_cache('root_cache', 'edge_cache') def set_processed_value(): # Computes and caches 'processed' from root's 'raw' value processed = edge_cache.get('processed') if processed is None: processed = (root_cache.get('raw') or 0) * 5 edge_cache['processed'] = processed return processed # A common problem with caching computed or dependent values: print set_processed_value() # 0 without raw value root_cache['raw'] = 1 print set_processed_value() # still 0 because it's cache in edge # Now we use cache invalidation to tell downstream caches they're no longer valid root_cache.invalidate() # Invalidates dependent caches print edge_cache # Prints {} even though we only invalidated the root_cache root_cache['raw'] = 1 print set_processed_value() # Now 5 because the edge was cleared before the request print edge_cache # Can see {'processed': 5} propogated Setting cache directory ~~~~~~~~~~~~~~~~~~~~~~~ :: from cacheman import cacher # Default cache directory is '/tmp/general_cacher' or 'user\appadata\local\temp\general_cache' # All pickle caches now save to namespaced directories within the base_cache_directory directory manager = cacher.get_cache_manager(base_cache_directory='secret/cache/location') cache = manager.register_cache('my_cache') cache['new'] = 'real' # Add something to the cache cache.save('my_cache') # Will save contents to 'secret/cache/location/general_cache/my_cache.pkl' Navigating the Repo ------------------- .. _cacheman-1: cacheman ~~~~~~~~ Package wrapper for the repo. tests ~~~~~ All unit tests for the repo. Language Preferences -------------------- - Google Style Guide - Object Oriented (with a few exceptions) TODO ---- - Better argument checks - Changelog Author ------ Author(s): Matthew Seal .. |Build Status| image:: https://travis-ci.org/MSeal/py_cache_manager.svg?branch=master :target: https://travis-ci.org/MSeal/py_cache_manager

نیازمندی

مقدار	نام
>=2.1.0	psutil

نحوه نصب

نصب پکیج whl CacheMan-2.2.0:

pip install CacheMan-2.2.0.whl

نصب پکیج tar.gz CacheMan-2.2.0:

pip install CacheMan-2.2.0.tar.gz