HermesCache


NameHermesCache JSON
Version 1.0.0 PyPI version JSON
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home_pagehttps://heptapod.host/saajns/hermes
SummaryPython caching library with tag-based invalidation and dogpile effect prevention
upload_time2024-03-10 20:29:06
maintainer
docs_urlNone
authorsaaj
requires_python>= 3
licenseLGPL-2.1+
keywords python cache tagging redis memcached
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            .. image:: https://img.shields.io/pypi/l/HermesCache.svg
   :target: https://spdx.org/licenses/LGPL-2.1+.html
   :alt: PyPI - License
.. image:: https://heptapod.host/saajns/hermes/badges/branch/default/pipeline.svg
   :target: https://heptapod.host/saajns/hermes/-/commits/branch/default
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.. image:: https://heptapod.host/saajns/hermes/badges/branch/default/coverage.svg
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.. image:: https://img.shields.io/badge/benchmarked%20by-asv-blue.svg?style=flat
   :target: https://hermescache.readthedocs.io/en/report/htmlasv/?badge=asv
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   :target: https://pypi.python.org/pypi/HermesCache
   :alt: PyPI
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   :target: https://hermescache.readthedocs.io/en/latest/?badge=latest
   :alt: RTFD

***********
HermesCache
***********
Hermes is a Python caching library. It was designed to fulfil the following
requirements:

* Tag-based O(1) cache invalidation
* Dogpile effect (cache stampede) mitigation
* Support for multi-threaded, multi-process, multi-machine & asynchronous operation
* Cache compression
* Modular design (pluggable backends, compressors, serialisers, etc.)
* Simple yet flexible decorator API

Implemented backends: ``redis``, ``memcached``, ``inprocess``.

Installation
============
.. sourcecode::

   pip install HermesCache

For Redis and Memcached it has the following extra dependencies.

============================== =============================================
``HermesCache[redis]``         Pure Python Redis client
------------------------------ ---------------------------------------------
``HermesCache[redis-ext]``     Pure Python Redis client & C extension parser
------------------------------ ---------------------------------------------
``HermesCache[memcached]``     Pure Python Memcached client
============================== =============================================

Quickstart
==========
The following demonstrates the most of the package's API.

.. sourcecode:: python

   import hermes.backend.redis


   cache = hermes.Hermes(
     hermes.backend.redis.Backend,
     ttl = 600,
     host = 'localhost',
     db = 1,
   )

   @cache
   def foo(a, b):
     return a * b

   class Example:

     @cache(tags = ('math', 'power'), ttl = 1200)
     def bar(self, a, b):
       return a ** b

     @cache(tags = ('math', 'avg'), key = lambda fn, a, b: f'avg:{a}:{b}')
     def baz(self, a, b):
       return (a + b) / 2

   print(foo(2, 333))

   example = Example()
   print(example.bar(2, 10))
   print(example.baz(2, 10))

   foo.invalidate(2, 333)
   example.bar.invalidate(2, 10)
   example.baz.invalidate(2, 10)

   cache.clean(['math']) # invalidate entries tagged 'math'
   cache.clean()         # flush cache

.. note::

   The API encourages import-time instantiation of ``Hermes`` facade to allow
   decoration of existing classes and functions, to make caching transparent
   to them. The instantiation has no side-effects. Underlying backend
   connections are lazy.

   Moreover, if backend configuration is only available at runtime,
   ``Hermes.backend`` instance can be replaced at runtime.

            

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    "description": ".. image:: https://img.shields.io/pypi/l/HermesCache.svg\n   :target: https://spdx.org/licenses/LGPL-2.1+.html\n   :alt: PyPI - License\n.. image:: https://heptapod.host/saajns/hermes/badges/branch/default/pipeline.svg\n   :target: https://heptapod.host/saajns/hermes/-/commits/branch/default\n   :alt: Pipeline status\n.. image:: https://heptapod.host/saajns/hermes/badges/branch/default/coverage.svg\n   :target: https://hermescache.readthedocs.io/en/report/htmlcov/?badge=coverage\n   :alt: Test code coverage\n.. image:: https://img.shields.io/badge/benchmarked%20by-asv-blue.svg?style=flat\n   :target: https://hermescache.readthedocs.io/en/report/htmlasv/?badge=asv\n   :alt: Benchmark\n.. image:: https://badge.fury.io/py/HermesCache.svg\n   :target: https://pypi.python.org/pypi/HermesCache\n   :alt: PyPI\n.. image:: https://readthedocs.org/projects/hermescache/badge/?version=latest\n   :target: https://hermescache.readthedocs.io/en/latest/?badge=latest\n   :alt: RTFD\n\n***********\nHermesCache\n***********\nHermes is a Python caching library. It was designed to fulfil the following\nrequirements:\n\n* Tag-based O(1) cache invalidation\n* Dogpile effect (cache stampede) mitigation\n* Support for multi-threaded, multi-process, multi-machine & asynchronous operation\n* Cache compression\n* Modular design (pluggable backends, compressors, serialisers, etc.)\n* Simple yet flexible decorator API\n\nImplemented backends: ``redis``, ``memcached``, ``inprocess``.\n\nInstallation\n============\n.. sourcecode::\n\n   pip install HermesCache\n\nFor Redis and Memcached it has the following extra dependencies.\n\n============================== =============================================\n``HermesCache[redis]``         Pure Python Redis client\n------------------------------ ---------------------------------------------\n``HermesCache[redis-ext]``     Pure Python Redis client & C extension parser\n------------------------------ ---------------------------------------------\n``HermesCache[memcached]``     Pure Python Memcached client\n============================== =============================================\n\nQuickstart\n==========\nThe following demonstrates the most of the package's API.\n\n.. sourcecode:: python\n\n   import hermes.backend.redis\n\n\n   cache = hermes.Hermes(\n     hermes.backend.redis.Backend,\n     ttl = 600,\n     host = 'localhost',\n     db = 1,\n   )\n\n   @cache\n   def foo(a, b):\n     return a * b\n\n   class Example:\n\n     @cache(tags = ('math', 'power'), ttl = 1200)\n     def bar(self, a, b):\n       return a ** b\n\n     @cache(tags = ('math', 'avg'), key = lambda fn, a, b: f'avg:{a}:{b}')\n     def baz(self, a, b):\n       return (a + b) / 2\n\n   print(foo(2, 333))\n\n   example = Example()\n   print(example.bar(2, 10))\n   print(example.baz(2, 10))\n\n   foo.invalidate(2, 333)\n   example.bar.invalidate(2, 10)\n   example.baz.invalidate(2, 10)\n\n   cache.clean(['math']) # invalidate entries tagged 'math'\n   cache.clean()         # flush cache\n\n.. note::\n\n   The API encourages import-time instantiation of ``Hermes`` facade to allow\n   decoration of existing classes and functions, to make caching transparent\n   to them. The instantiation has no side-effects. Underlying backend\n   connections are lazy.\n\n   Moreover, if backend configuration is only available at runtime,\n   ``Hermes.backend`` instance can be replaced at runtime.\n",
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