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

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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) ...

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