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+Metadata-Version: 2.1
+Name: rq
+Version: 1.16.2
+Summary: RQ is a simple, lightweight, library for creating background jobs, and processing them.
+Project-URL: changelog, https://github.com/rq/rq/blob/master/CHANGES.md
+Project-URL: documentation, https://python-rq.org/docs/
+Project-URL: homepage, https://python-rq.org/
+Project-URL: repository, https://github.com/rq/rq/
+Author-email: Selwin Ong <[email protected]>, Vincent Driessen <[email protected]>
+Maintainer: Selwin Ong
+License-Expression: BSD-2-Clause
+License-File: LICENSE
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: End Users/Desktop
+Classifier: Intended Audience :: Information Technology
+Classifier: Intended Audience :: Science/Research
+Classifier: Intended Audience :: System Administrators
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Operating System :: MacOS
+Classifier: Operating System :: POSIX
+Classifier: Operating System :: Unix
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Topic :: Internet
+Classifier: Topic :: Scientific/Engineering
+Classifier: Topic :: Software Development :: Libraries :: Python Modules
+Classifier: Topic :: System :: Distributed Computing
+Classifier: Topic :: System :: Monitoring
+Classifier: Topic :: System :: Systems Administration
+Requires-Python: >=3.7
+Requires-Dist: click>=5
+Requires-Dist: redis>=3.5
+Description-Content-Type: text/markdown
+
+RQ (_Redis Queue_) is a simple Python library for queueing jobs and processing
+them in the background with workers.  It is backed by Redis and it is designed
+to have a low barrier to entry.  It should be integrated in your web stack
+easily.
+
+RQ requires Redis >= 3.0.0.
+
+[![Build status](https://github.com/rq/rq/workflows/Test%20rq/badge.svg)](https://github.com/rq/rq/actions?query=workflow%3A%22Test+rq%22)
+[![PyPI](https://img.shields.io/pypi/pyversions/rq.svg)](https://pypi.python.org/pypi/rq)
+[![Coverage](https://codecov.io/gh/rq/rq/branch/master/graph/badge.svg)](https://codecov.io/gh/rq/rq)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+
+Full documentation can be found [here][d].
+
+
+## Support RQ
+
+If you find RQ useful, please consider supporting this project via [Tidelift](https://tidelift.com/subscription/pkg/pypi-rq?utm_source=pypi-rq&utm_medium=referral&utm_campaign=readme).
+
+
+## Getting started
+
+First, run a Redis server, of course:
+
+```console
+$ redis-server
+```
+
+To put jobs on queues, you don't have to do anything special, just define
+your typically lengthy or blocking function:
+
+```python
+import requests
+
+def count_words_at_url(url):
+    """Just an example function that's called async."""
+    resp = requests.get(url)
+    return len(resp.text.split())
+```
+
+You do use the excellent [requests][r] package, don't you?
+
+Then, create an RQ queue:
+
+```python
+from redis import Redis
+from rq import Queue
+
+queue = Queue(connection=Redis())
+```
+
+And enqueue the function call:
+
+```python
+from my_module import count_words_at_url
+job = queue.enqueue(count_words_at_url, 'http://nvie.com')
+```
+
+Scheduling jobs are also similarly easy:
+
+```python
+# Schedule job to run at 9:15, October 10th
+job = queue.enqueue_at(datetime(2019, 10, 10, 9, 15), say_hello)
+
+# Schedule job to run in 10 seconds
+job = queue.enqueue_in(timedelta(seconds=10), say_hello)
+```
+
+Retrying failed jobs is also supported:
+
+```python
+from rq import Retry
+
+# Retry up to 3 times, failed job will be requeued immediately
+queue.enqueue(say_hello, retry=Retry(max=3))
+
+# Retry up to 3 times, with configurable intervals between retries
+queue.enqueue(say_hello, retry=Retry(max=3, interval=[10, 30, 60]))
+```
+
+For a more complete example, refer to the [docs][d].  But this is the essence.
+
+
+### The worker
+
+To start executing enqueued function calls in the background, start a worker
+from your project's directory:
+
+```console
+$ rq worker --with-scheduler
+*** Listening for work on default
+Got count_words_at_url('http://nvie.com') from default
+Job result = 818
+*** Listening for work on default
+```
+
+That's about it.
+
+
+## Installation
+
+Simply use the following command to install the latest released version:
+
+    pip install rq
+
+If you want the cutting edge version (that may well be broken), use this:
+
+    pip install git+https://github.com/rq/rq.git@master#egg=rq
+
+
+## Related Projects
+
+Check out these below repos which might be useful in your rq based project.
+
+- [rq-dashboard](https://github.com/Parallels/rq-dashboard)
+- [rqmonitor](https://github.com/pranavgupta1234/rqmonitor)
+- [django-rq](https://github.com/rq/django-rq)
+- [Flask-RQ2](https://github.com/rq/Flask-RQ2)
+- [rq-scheduler](https://github.com/rq/rq-scheduler)
+
+
+## Project history
+
+This project has been inspired by the good parts of [Celery][1], [Resque][2]
+and [this snippet][3], and has been created as a lightweight alternative to the
+heaviness of Celery or other AMQP-based queueing implementations.
+
+
+[r]: http://python-requests.org
+[d]: http://python-rq.org/
+[m]: http://pypi.python.org/pypi/mailer
+[p]: http://docs.python.org/library/pickle.html
+[1]: http://docs.celeryq.dev/
+[2]: https://github.com/resque/resque
+[3]: https://github.com/fengsp/flask-snippets/blob/1f65833a4291c5b833b195a09c365aa815baea4e/utilities/rq.py