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Description:

djangocelerybeatyywing3 2.0.0.post2

Version:
2.0.0.post2

Web:
http://django-celery-beat.readthedocs.io/

Download:
http://pypi.python.org/pypi/django-celery-beat

Source:
http://github.com/celery/django-celery-beat

Keywords:
django, celery, beat, periodic task, cron, scheduling

About
This extension enables you to store the periodic task schedule in the
database.
The periodic tasks can be managed from the Django Admin interface, where you
can create, edit and delete periodic tasks and how often they should run.

Using the Extension
Usage and installation instructions for this extension are available
from the Celery documentation:
http://docs.celeryproject.org/en/latest/userguide/periodic-tasks.html#using-custom-scheduler-classes

Important Warning about Time Zones

Warning
If you change the Django TIME_ZONE setting your periodic task schedule
will still be based on the old timezone.
To fix that you would have to reset the “last run time” for each periodic
task:
>>> from django_celery_beat.models import PeriodicTask, PeriodicTasks
>>> PeriodicTask.objects.all().update(last_run_at=None)
>>> for task in PeriodicTask.objects.all():
>>> PeriodicTasks.changed(task)
Note that this will reset the state as if the periodic tasks have never run
before.

Models

django_celery_beat.models.PeriodicTask

This model defines a single periodic task to be run.
It must be associated with a schedule, which defines how often the task should
run.

django_celery_beat.models.IntervalSchedule

A schedule that runs at a specific interval (e.g. every 5 seconds).

django_celery_beat.models.CrontabSchedule

A schedule with fields like entries in cron:
minute hour day-of-week day_of_month month_of_year.

django_celery_beat.models.PeriodicTasks

This model is only used as an index to keep track of when the schedule has
changed.
Whenever you update a PeriodicTask a counter in this table is also
incremented, which tells the celery beat service to reload the schedule
from the database.
If you update periodic tasks in bulk, you will need to update the counter
manually:
>>> from django_celery_beat.models import PeriodicTasks
>>> PeriodicTasks.changed()

Example creating interval-based periodic task
To create a periodic task executing at an interval you must first
create the interval object:
>>> from django_celery_beat.models import PeriodicTask, IntervalSchedule

# executes every 10 seconds.
>>> schedule, created = IntervalSchedule.objects.get_or_create(
... every=10,
... period=IntervalSchedule.SECONDS,
... )
That’s all the fields you need: a period type and the frequency.
You can choose between a specific set of periods:

IntervalSchedule.DAYS
IntervalSchedule.HOURS
IntervalSchedule.MINUTES
IntervalSchedule.SECONDS
IntervalSchedule.MICROSECONDS

Note
If you have multiple periodic tasks executing every 10 seconds,
then they should all point to the same schedule object.

There’s also a “choices tuple” available should you need to present this
to the user:
>>> IntervalSchedule.PERIOD_CHOICES
Now that we have defined the schedule object, we can create the periodic task
entry:
>>> PeriodicTask.objects.create(
... interval=schedule, # we created this above.
... name='Importing contacts', # simply describes this periodic task.
... task='proj.tasks.import_contacts', # name of task.
... )
Note that this is a very basic example, you can also specify the arguments
and keyword arguments used to execute the task, the queue to send it
to[*], and set an expiry time.
Here’s an example specifying the arguments, note how JSON serialization is
required:
>>> import json
>>> from datetime import datetime, timedelta

>>> PeriodicTask.objects.create(
... interval=schedule, # we created this above.
... name='Importing contacts', # simply describes this periodic task.
... task='proj.tasks.import_contacts', # name of task.
... args=json.dumps(['arg1', 'arg2']),
... kwargs=json.dumps({
... 'be_careful': True,
... }),
... expires=datetime.utcnow() + timedelta(seconds=30)
... )

[*]
you can also use low-level AMQP routing using the exchange and
routing_key fields.

Example creating crontab-based periodic task
A crontab schedule has the fields: minute, hour, day_of_week,
day_of_month and month_of_year, so if you want the equivalent
of a 30 * * * * (execute every 30 minutes) crontab entry you specify:
>>> from django_celery_beat.models import CrontabSchedule, PeriodicTask
>>> schedule, _ = CrontabSchedule.objects.get_or_create(
... minute='30',
... hour='*',
... day_of_week='*',
... day_of_month='*',
... month_of_year='*',
... timezone=pytz.timezone('Canada/Pacific')
... )
The crontab schedule is linked to a specific timezone using the ‘timezone’ input parameter.
Then to create a periodic task using this schedule, use the same approach as
the interval-based periodic task earlier in this document, but instead
of interval=schedule, specify crontab=schedule:
>>> PeriodicTask.objects.create(
... crontab=schedule,
... name='Importing contacts',
... task='proj.tasks.import_contacts',
... )

Temporarily disable a periodic task
You can use the enabled flag to temporarily disable a periodic task:
>>> periodic_task.enabled = False
>>> periodic_task.save()

Example running periodic tasks
The periodic tasks still need ‘workers’ to execute them.
So make sure the default Celery package is installed.
(If not installed, please follow the installation instructions
here: https://github.com/celery/celery)
Both the worker and beat services need to be running at the same time.

Start a Celery worker service (specify your Django project name):
$ celery -A [project-name] worker --loglevel=info

As a separate process, start the beat service (specify the Django scheduler):
$ celery -A [project-name] beat -l info --scheduler django_celery_beat.schedulers:DatabaseScheduler
OR you can use the -S (scheduler flag), for more options see celery beat --help):
$ celery -A [project-name] beat -l info -S django
Also, as an alternative, you can run the two steps above (worker and beat services)
with only one command (recommended for development environment only):
$ celery -A [project-name] worker --beat --scheduler django --loglevel=info

Now you can add and manage your periodic tasks from the Django Admin interface.

Installation
You can install django-celery-beat either via the Python Package Index (PyPI)
or from source.
To install using pip:
$ pip install -U django-celery-beat

Downloading and installing from source
Download the latest version of django-celery-beat from
http://pypi.python.org/pypi/django-celery-beat
You can install it by doing the following,:
$ tar xvfz django-celery-beat-0.0.0.tar.gz
$ cd django-celery-beat-0.0.0
$ python setup.py build
# python setup.py install
The last command must be executed as a privileged user if
you are not currently using a virtualenv.
After installation, add django_celery_beat to Django settings file:
INSTALLED_APPS = [
...,
'django_celery_beat',
]

python manage.py migrate django_celery_beat

Using the development version
With pip
You can install the latest snapshot of django-celery-beat using the following
pip command:
$ pip install https://github.com/celery/django-celery-beat/zipball/master#egg=django-celery-beat

Developing django-celery-beat
To spin up a local development copy of django-celery-beat with Django admin at http://127.0.0.1:58000/admin/ run:
$ docker-compose up --build
Log-in as user admin with password admin.

TZ Awareness:
If you have a project that is time zone naive, you can set DJANGO_CELERY_BEAT_TZ_AWARE=False in your settings file.

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