Ours looks like this:
class WinslowTask(Task):
abstract = True
_winslow = None
@property
def winslow(self):
if self._winslow is None:
from winslow.lexelasticsearch import LexElasticSearch
es_conf = bias_app.conf['ELASTICSEARCH']
es = LexElasticSearch(list(es_conf['urls']))
settings = generate_winslow_settings()
config = configure_app(settings, es_conf['lex'], es, bias_app)
self._winslow = config.make_wsgi_app()
return self._winslow
Winslow being the name of our Pyramid application. This creates a pyramid
application per task type using the app per worker. Inside of the task we
are able to use the application like so:
request = Request.from_bytes(export_doc.deferred_request)
request.headers['X-For-Export'] = 'true'
response = request.get_response(self.winslow)
On Wed, Nov 18, 2015 at 8:42 AM Robin Harms Oredsson <ro...@betahaus.net>
wrote:
> Hi all,
> I've tried to read up on proper usage of celery within Pyramid. So far
> most suggestions seem to be to load the whole stack via
> pyramid.paster.bootstrap for each task. Quite cumbersome.
>
> The right way to do this as far as I understand would be to create a
> request for each task and then close the request after each task + run any
> commit hooks, pretty much like the regular router.
>
> Any of you guys have good example code for this? Or am I completely wrong
> about it? :)
> When i do it i seem to cause memory leaks.
>
> Cheers,
> Robin Harms Oredsson
>
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