Skip to main content

A simple look that uses the cache as acquirer

Project description

python-cachelock
================

[![Supported Versions](https://img.shields.io/pypi/pyversions/cachelock.svg)](https://pypi.python.org/pypi/cachelock)
[![Build Status](https://travis-ci.org/douglasfarinelli/python-cachelock.svg?branch=master)](https://travis-ci.org/douglasfarinelli/python-cachelock)
[![Coverage Status](https://coveralls.io/repos/github/douglasfarinelli/python-cachelock/badge.svg?branch=master)](https://coveralls.io/github/douglasfarinelli/python-cachelock?branch=master)
[![PyPI version](https://badge.fury.io/py/cachelock.svg)](https://pypi.python.org/pypi/cachelock)

The `cachelock` serves to ensure that your code block or function is executed one at a time using the cache as acquirer.

How to install:
===============

pip install cachelock

or

pipenv install cachelock

How to use
==========

You can use of two forms:

- Use the `Lock` class to your blocks;
- Or use the decorator `once` to block your functions or tasks;

With cachelock.Lock
===================

Arguments:

with cachelock.Lock(
key=...
cache=...,
) ...

You should use the Lock class as with context:

with cachelock.Lock(key='foo'):
...your code ...

If it is already locked, the LockError will be raised.

With cachelock.once
===================

Arguments:

@cachelock.once(
key=...
cache=...,
raises_if_lock=False
)
...

With the decorator, you can guarantee the unique execution of some function. It also allows you to configure your key according to the arguments of the function.

@celery.task
@cachelock.once(key='foo-{arg_a}-{arg_b}')
def func(arg_a, arg_b):
pass

That way, if it is locked, the function quits silently. You can also ask `once` to raise `LockError`:

@celery.task
@cachelock.once(
key='foo-{arg_a}-{arg_b}',
raise_if_lock=True
)
def func(arg_a, arg_b):
pass

Integrate with Django
=====================

The cachelock checks whether django is installed, and if so, it uses django's own cache as aquirer. And if you wish, you can modify the default cache with `DEFAULT_CACHELOCK_ALIAS` configuration through django settings. The value must be an alias of some existing cache, by default it uses `default`


*Remembering that by `default`, `cachelock` uses its own internal cache in memory if there is no integration with `django`.*

Customizing your own cache
==========================

To work it is necessary that the implementation of the cache has the `get`, `delete` and `set` methods. Ex.:

class DummyCache:

def set(self, key, value):
pass

def get(self, key, default=None):
pass

def delete(self, key):
pass

cache = DummyCache()

use:

@cachelock.once(key=..., cache=cache)

or

with cachelock.Lock(key..., cache=cache) ...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cachelock-0.0.3.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

cachelock-0.0.3-py3-none-any.whl (6.3 kB view details)

Uploaded Python 3

File details

Details for the file cachelock-0.0.3.tar.gz.

File metadata

  • Download URL: cachelock-0.0.3.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for cachelock-0.0.3.tar.gz
Algorithm Hash digest
SHA256 b039fd0e434f80de241482652a64cc75e177191636f5c386e71c77cc4bff5d33
MD5 1044342496f9bd651f7f387444b62f34
BLAKE2b-256 c5aab98cf2438195694507cfe279efe760793c1b410dc4111ef163b4ec4a1f6b

See more details on using hashes here.

File details

Details for the file cachelock-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for cachelock-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 bad57a8e85019787a42d8eda2937d485279de583b6cb279fd5d529bc51ee993b
MD5 23229f9fd7ba9e7d8a50cd10e724969c
BLAKE2b-256 7f6c0017f287658e4b512badc352fd0509c112e6407f90d8c5333c40d306629d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page