portalocker 4.0.0

Overview

Portalocker is a library to provide an easy API to file locking.

Portalocker requires Python 3.10 or later.

An important detail to note is that on Linux and Unix systems the locks are advisory by default. By specifying the -o mand option to the mount command it is possible to enable mandatory file locking on Linux. This is generally not recommended however. For more information about the subject:

• https://en.wikipedia.org/wiki/File_locking

• http://stackoverflow.com/questions/39292051/portalocker-does-not-seem-to-lock

• https://stackoverflow.com/questions/12062466/mandatory-file-lock-on-linux

pip install "portalocker[win32]"

Security contact information

To report a security vulnerability, please use the Tidelift security contact. Tidelift will coordinate the fix and disclosure.

PidFileLock contexts

The default context is inspection-oriented: it enters even when another process owns the lock and returns that process’s PID. A None value means this process acquired the lock:

import portalocker

with portalocker.PidFileLock('worker.pid') as holder_pid:
    if holder_pid is None:
        run_singleton_worker()
    else:
        print(f'worker already running as PID {holder_pid}')

Use fail_closed() when the protected body must only run after acquisition:

import portalocker

try:
    with portalocker.PidFileLock('worker.pid').fail_closed():
        run_singleton_worker()
except portalocker.AlreadyLocked as exc:
    print(f'worker already running as PID {exc.holder_pid}')

Redis Locks

This library now features a lock based on Redis which allows for locks across multiple threads, processes and even distributed locks across multiple computers.

It is an extremely reliable Redis lock that is based on pubsub.

As opposed to most Redis locking systems based on key/value pairs, this locking method is based on the pubsub system. The big advantage is that if the connection gets killed due to network issues, crashing processes or otherwise, it will still immediately unlock instead of waiting for a lock timeout.

First make sure you have everything installed correctly:

pip install "portalocker[redis]"

Usage is really easy:

import portalocker

lock = portalocker.RedisLock('some_lock_channel_name')

with lock:
    print('do something here')

Shared locks allow multiple readers while remaining mutually exclusive with writers:

read_lock = portalocker.RedisLock(
    'some_lock_channel_name',
    flags=portalocker.LockFlags.SHARED,
)

with read_lock:
    print('read shared state')

Waiting writers prevent new readers from entering, so a continuous stream of readers cannot starve an exclusive lock. New shared locks also interoperate with older portalocker clients: legacy Redis locks are treated as exclusive.

The API is essentially identical to the other Lock classes so in addition to the with statement you can also use lock.acquire(...).

The normal test suite uses fakeredis. To optionally repeat the Redis tests against a locally running server:

redis-server
tox -e redis-live

Set REDIS_HOST or REDIS_PORT when the server does not use localhost:6379. The redis-live environment fails instead of skipping when it cannot connect.

Python 2

Python 2 was supported in versions before Portalocker 2.0. If you are still using Python 2, you can run this to install:

pip install "portalocker<2"

Tips

On some networked filesystems it might be needed to force a os.fsync() before closing the file so it’s actually written before another client reads the file. Effectively this comes down to:

with portalocker.Lock('some_file', 'rb+', timeout=60) as fh:
    # do what you need to do
    ...

    # flush and sync to filesystem
    fh.flush()
    os.fsync(fh.fileno())

Links

• Documentation

  • http://portalocker.readthedocs.org/en/latest/

• Source

  • https://github.com/WoLpH/portalocker

• Bug reports

  • https://github.com/WoLpH/portalocker/issues

• Package homepage

  • https://pypi.python.org/pypi/portalocker

• My blog

  • http://w.wol.ph/

Examples

To make sure your cache generation scripts don’t race, use the Lock class:

>>> import portalocker
>>> with portalocker.Lock('somefile', timeout=1) as fh:
...     print('writing some stuff to my cache...', file=fh)

To customize the opening and locking a manual approach is also possible:

>>> import portalocker
>>> file = open('somefile', 'r+')
>>> portalocker.lock(file, portalocker.LockFlags.EXCLUSIVE)
>>> file.seek(12)
>>> file.write('foo')
>>> file.close()

Explicitly unlocking is not needed in most cases but omitting it has been known to cause issues: https://github.com/AzureAD/microsoft-authentication-extensions-for-python/issues/42#issuecomment-601108266

If needed, it can be done through:

>>> portalocker.unlock(file)

Do note that your data might still be in a buffer so it is possible that your data is not available until you flush() or close().

To create a cross platform bounded semaphore across multiple processes you can use the BoundedSemaphore class which functions somewhat similar to threading.BoundedSemaphore:

>>> import portalocker
>>> n = 2
>>> timeout = 0.1

>>> semaphore_a = portalocker.BoundedSemaphore(n, timeout=timeout)
>>> semaphore_b = portalocker.BoundedSemaphore(n, timeout=timeout)
>>> semaphore_c = portalocker.BoundedSemaphore(n, timeout=timeout)

>>> semaphore_a.acquire()
<portalocker.utils.Lock object at ...>
>>> semaphore_b.acquire()
<portalocker.utils.Lock object at ...>
>>> semaphore_c.acquire()
Traceback (most recent call last):
  ...
portalocker.exceptions.AlreadyLocked

More examples can be found in the tests.

Versioning

This library follows Semantic Versioning.

Changelog

Every release has a git tag with a commit message for the tag explaining what was added and/or changed. The list of tags/releases including the commit messages can be found here: https://github.com/WoLpH/portalocker/releases

License

See the LICENSE file.