Simple offline task queues. For Python.
"See you later, alligator."
Latest documentation at http://alligator.readthedocs.org/en/latest/.
- Python 3.6+
- (Optional)
redis
for the Redis backend - (Optional)
boto3>=1.12.0
for the SQS backend
This example uses Django, but there's nothing Django-specific about Alligator.
I repeat, You can use it with any Python code that would benefit from background processing.
from alligator import Gator
from django.contrib.auth.models import User
from django.shortcuts import send_email
# Make a Gator instance.
# Under most circumstances, you would configure this in one place &
# import that instance instead.
gator = Gator('redis://localhost:6379/0')
# The task itself.
# Nothing special, just a plain *undecorated* function.
def follow_email(followee_username, follower_username):
followee = User.objects.get(username=followee_username)
follower = User.objects.get(username=follower_username)
subject = 'You got followed!'
message = 'Hey {}, you just got followed by {}! Whoohoo!'.format(
followee.username,
follower.username
)
send_email(subject, message, 'server@example.com', [followee.email])
# An simple, previously expensive view.
@login_required
def follow(request, username):
# You'd import the task function above.
if request.method == 'POST':
# Schedule the task.
# Use args & kwargs as normal.
gator.task(follow_email, request.user.username, username)
return redirect('...')
Rather than trying to do autodiscovery, fanout, etc., you control how your workers are configured & what they consume.
If your needs are simple, run the included latergator.py
worker:
$ python latergator.py redis://localhost:6379/0
If you have more complex needs, you can create a new executable file (bin script, management command, whatever) & drop in the following code.
from alligator import Gator, Worker
# Bonus points if you import that one pre-configured ``Gator`` instead.
gator = Gator('redis://localhost:6379/0')
# Consume & handle all tasks.
worker = Worker(gator)
worker.run_forever()
New BSD
Alligator has 95%+ test coverage & aims to be passing/stable at all times.
If you'd like to run the tests, clone the repo, then run:
$ virtualenv -p python3 env $ . env/bin/activate $ pip install -r requirements-tests.txt $ python setup.py develop $ pytest -s -v --cov=alligator --cov-report=html tests
The full test suite can be run via:
$ export ALLIGATOR_TESTS_INCLUDE_SQS=true $ ./tests/run_all.sh
This requires all backends/queues to be running, as well as valid AWS
credentials if ALLIGATOR_TESTS_INCLUDE_SQS=true
is set.
- Because I have NIH-syndrome.
- Or because I longed for something simple (~375 loc).
- Or because I wanted something with tests (90%+ coverage) & docs.
- Or because I wanted pluggable backends.
- Or because testing some other queuing system was a pain.
- Or because I'm an idiot.
Post-1.0.0:
- Expand the supported backends
- Kafka?
- ActiveMQ support?
- RabbitMQ support?
- ???