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endi_celery

Project description

Since version 6, endi-celery only supports python 3.

Asynchronous tasks are executed through celery. pyramid_celery is used to integrate celery with the Pyramid related stuff. pyramid_beaker is used to cache responses.

tasks:

Asynchronous tasks called from enDI

scheduler:

Beat tasks, repeated along the time (like cron tasks)

Results

No result backend is used, tasks interact directly with enDI’s database to return datas.

enDI celery provides all the models that should be used to store task execution related stuff (see endi_celery.models).

Install

System packages

autonmie_celery needs a redis server to run

On Debian

apt-get install redis-server

On Fedora

dnf install redis-server

Python stuff

endi_celery should be run in the same environment as enDI : https://framagit.org/endi/endi

You may first run

workon endi
git clone https://framagit.org/endi/endi_celery.git
cd endi_celery
python setup.py install
cp development.ini.sample development.ini

Customize the development.ini file as needed

Start it

Launch the following command to launch the worker daemon:

celery worker -A pyramid_celery.celery_app  --ini development.ini

Launch the following command to launch the beat daemon:

celery beat -A pyramid_celery.celery_app --ini development.ini

Customize accounting operation parser and producer for different general_ledger files

In the inifile of your celery service, configure service factories

endi_celery.interfaces.IAccountingFileParser=endi_celery.parsers.sage.parser_factory
endi_celery.interfaces.IAccountingOperationProducer=endi_celery.parsers.sage.producer_factory

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