celery-bungiesearch 1.2.4

Install

pip install celery-bungiesearch

Requirements

• Django 1.4.3+

• Bungiesearch 1.2.1+

• Celery 3.1.18+

Usage

1. Add 'celery_bungiesearch' to INSTALLED_APPS in settings

INSTALLED_APPS = [
    # ..
    'celery_bungiesearch',
]

2. Add CelerySignalProcessor to settings.BUNGIESEARCH['SIGNAL_CLASS'] in settings. This will ensure that any model that’s managed by a BungiesearchManager acquire CelerySignalProcessor as the signal processor.

from celery_bungiesearch import CelerySignalProcessor

BUNGIESEARCH = {
   # ..
   'SIGNALS': {
       'SIGNAL_CLASS': 'celery_bungiesearch.signals.CelerySignalProcessor',
       'BUFFER_SIZE' : 100
   }
}

3. Add celery-bungisearch configuration variables to your settings file. The task below is the default version, but you may include your own custom classes if you desire (note that none of these environment variable are required, and can be entirely excluded from the settings file):

CELERY_BUNGIESEARCH_QUEUE = None
CELERY_BUNGIESEARCH_TASK = 'Your custom index task path'
CELERY_BUNGIESEARCH_CUSTOM_TASK = 'Your custom celery task path'

4. Ensure your Celery instance is running.

Testing

You can run tests locally for celery-bungiesearch by simply running the command tox or tox test. You must have an instance of elasticsearch running locally. You can also run tests using continuous integration with Travis CI (build status at the top of this README).

Thanks

This application borrows liberally from Jannis Leidel’s celery-haystack and from Christopher Rabotin’s Bungiesearch, which itself was the inspiration for this project.

Issues

Please submit a pull request or use the Github issue tracker for any bug fixes, bug reports, or feature requests.