Skip to main content

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

Sage (default)

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

Sage Generation Expert

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

Quadra

endi_celery.interfaces.IAccountingFileParser=endi_celery.parsers.quadra.parser_factory
endi_celery.interfaces.IAccountingOperationProducer=endi_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

endi_celery-6.7.8.tar.gz (60.8 kB view details)

Uploaded Source

Built Distribution

endi_celery-6.7.8-py3-none-any.whl (69.3 kB view details)

Uploaded Python 3

File details

Details for the file endi_celery-6.7.8.tar.gz.

File metadata

  • Download URL: endi_celery-6.7.8.tar.gz
  • Upload date:
  • Size: 60.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for endi_celery-6.7.8.tar.gz
Algorithm Hash digest
SHA256 8ffeedc4c17fb9c552165bb39cf7d4b6b8f78c6eb6eda616cf9dec4d183bd3f6
MD5 88605ab4ab991fe361a08826dd603d4a
BLAKE2b-256 1d43c8e5f4b8fefb7608ab028dc173d9d89a8dedc1f4972ec50ea1a59e414e0b

See more details on using hashes here.

File details

Details for the file endi_celery-6.7.8-py3-none-any.whl.

File metadata

  • Download URL: endi_celery-6.7.8-py3-none-any.whl
  • Upload date:
  • Size: 69.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for endi_celery-6.7.8-py3-none-any.whl
Algorithm Hash digest
SHA256 5da307c25fb27c7ec6e7b1e5241fe3ff2c05e7bec0748ce16f4ff0d52c3c658d
MD5 b244bc5a4022a9b5035dfc10246d523c
BLAKE2b-256 ad1a4b7845e0e7512c9bcfdd7f1e123bb2660323b3219d6706d385155c8d3070

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