Celery integration with pyramid
Project description
Getting Started
Include pyramid_celery either by setting your includes in your .ini, or by calling config.include('pyramid_celery'):
pyramid.includes = pyramid_celery
Then you just need to tell pyramid_celery what ini file your [celery] section is in:
config.configure_celery('development.ini')
Then you are free to use celery, for example class based:
from pyramid_celery import celery_app as app
class AddTask(app.Task):
def run(self, x, y):
print x+y
or decorator based:
from pyramid_celery import celery_app as app
@app.task
def add(x, y):
print x+y
To get pyramid settings you may access them in app.conf['PYRAMID_REGISTRY'].
Configuration
By default pyramid_celery assumes you want to configure celery via an ini settings. You can do this by calling config.configure_celery(‘development.ini’) but if you are already in the main of your application and want to use the ini used to configure the app you can do the following:
config.configure_celery(global_config['__file__'])
If you want to use the standard celeryconfig python file you can set the USE_CELERYCONFIG = True like this:
[celery]
USE_CELERYCONFIG = True
You can get more information for celeryconfig.py here:
http://celery.readthedocs.org/en/latest/configuration.html
An example ini configuration looks like this:
[celery]
BROKER_URL = redis://localhost:1337/0
CELERY_IMPORTS = app1.tasks
app2.tasks
[celerybeat:task1]
task = app1.tasks.Task1
type = crontab
schedule = {"minute": 0}
[celerybeat:task2]
task = app1.tasks.Task2
type = timedelta
schedule = {"seconds": 30}
args = [16, 16]
[celerybeat:task3]
task = app2.tasks.Task1
type = crontab
schedule = {"hour": 0, "minute": 0}
kwargs = {"boom": "shaka"}
[celerybeat:task4]
task = myapp.tasks.Task4
type = integer
schedule = 30
Running the worker
To run the worker we just use the standard celery command with an additional argument:
celery worker -A pyramid_celery.celery_app --ini development.ini
If you’ve defined variables in your .ini like %(database_username)s you can use the –ini-var argument, which is a comma separated list of key value pairs:
celery worker -A pyramid_celery.celery_app --ini development.ini --ini-var=database_username=sontek,database_password=OhYeah!
The values in ini-var cannot have spaces in them, this will break celery’s parser.
The reason it is a csv instead of using –ini-var multiple times is because of a bug in celery itself. When they fix the bug we will re-work the API. Ticket is here:
https://github.com/celery/celery/pull/2435
If you use celerybeat scheduler you need to run with the -B flag to run beat and worker at the same time or you can launch it separately like this:
celery beat -A pyramid_celery.celery_app --ini development.ini
Logging
If you use the .ini configuration (i.e don’t use celeryconfig.py) then the logging configuration will be loaded from the .ini and will not use the default celery loggers.
If you want use the default celery loggers then you can set CELERYD_HIJACK_ROOT_LOGGER=True in the [celery] section of your .ini
Demo
To see it all in action check out examples/long_running_with_tm, run redis-server and then do:
$ python setup.py develop
$ populate_long_running_with_tm development.ini
$ pserve ./development.ini
$ celery worker -A pyramid_celery.celery_app --ini development.ini
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file pyramid_celery-2.0.0-rc4.tar.gz
.
File metadata
- Download URL: pyramid_celery-2.0.0-rc4.tar.gz
- Upload date:
- Size: 5.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0a686e7d4314465400189062c59ba6ac2ca2d5026bf3762ed0171e179394677b |
|
MD5 | 3cafa4b672dc80897c20300c631c6e9a |
|
BLAKE2b-256 | a199d11a16865fcd15d7014883d4cae4344121421f797dc05d0ebd9cc4a3232f |