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

Launch the following command to launch the beat daemon:

celery -A pyramid_celery.celery_app beat --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-2025.2.0.tar.gz (65.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

caerp_celery-2025.2.0-py3-none-any.whl (76.4 kB view details)

Uploaded Python 3

File details

Details for the file caerp_celery-2025.2.0.tar.gz.

File metadata

  • Download URL: caerp_celery-2025.2.0.tar.gz
  • Upload date:
  • Size: 65.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for caerp_celery-2025.2.0.tar.gz
Algorithm Hash digest
SHA256 88c03b89e6cbb8e07cbb464ae5c1081e8837db3030c70adc28458eba09b4af21
MD5 8f81083d6fb996e538f50e9c6fd13464
BLAKE2b-256 01a7e0b2a04c422774dab630e692f3d5238104227d353fb7097c334fa090cf59

See more details on using hashes here.

File details

Details for the file caerp_celery-2025.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for caerp_celery-2025.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7073b0d56c365295d87a31e43abad9de80039e4748c83868f9e4b1b372a88583
MD5 4e33bdf2fe76e8f32bc6d3b33346f4d4
BLAKE2b-256 88d613f9c102c694f1316d9df3852578e1f9ec0104dd8c8730ef5f4730fef483

See more details on using hashes here.

Supported by

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