Skip to main content

caerp_celery

Project description

Since version 6, caerp-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 CAErp

scheduler:

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

Results

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

CAErp celery provides all the models that should be used to store task execution related stuff (see caerp_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

caerp_celery should be run in the same environment as CAErp : https://framagit.org/caerp/caerp

You may first run

workon caerp
git clone https://framagit.org/caerp/caerp_celery.git
cd caerp_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

Sage (default)

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

Sage Generation Expert

caerp_celery.interfaces.IAccountingFileParser=caerp_celery.parsers.sage_generation_expert.parser_factory
caerp_celery.interfaces.IAccountingOperationProducer=caerp_celery.parsers.sage_generation_expert.producer_factory

Quadra

caerp_celery.interfaces.IAccountingFileParser=caerp_celery.parsers.quadra.parser_factory
caerp_celery.interfaces.IAccountingOperationProducer=caerp_celery.parsers.quadra.producer_factory

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

caerp_celery-2024.1.2a4.tar.gz (58.9 kB view details)

Uploaded Source

Built Distribution

caerp_celery-2024.1.2a4-py3-none-any.whl (70.3 kB view details)

Uploaded Python 3

File details

Details for the file caerp_celery-2024.1.2a4.tar.gz.

File metadata

  • Download URL: caerp_celery-2024.1.2a4.tar.gz
  • Upload date:
  • Size: 58.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for caerp_celery-2024.1.2a4.tar.gz
Algorithm Hash digest
SHA256 db173c4bbcc13c7403a3310b2a42c306519889d97112242f3e561d80aba47a46
MD5 ab1b7ec29f011b0a48c1120f17bf50a7
BLAKE2b-256 da59e7247d6ca8c2d125532a906b090b90f3b54e1c68bfa84e5e39cfc9e8701e

See more details on using hashes here.

File details

Details for the file caerp_celery-2024.1.2a4-py3-none-any.whl.

File metadata

File hashes

Hashes for caerp_celery-2024.1.2a4-py3-none-any.whl
Algorithm Hash digest
SHA256 3b8af8d3821dda332ebabbe860ea4b0b070e07e81ba1acfd19c2fd91c675f31a
MD5 01a378144d2bafbaad82ea421a596a87
BLAKE2b-256 a42aa4b17bfd95a3954a216362b03dceeedb55dd5a4dc2f026d44a9400657e9f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page