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-6.7.6.tar.gz (60.5 kB view details)

Uploaded Source

Built Distribution

endi_celery-6.7.6-py3-none-any.whl (69.0 kB view details)

Uploaded Python 3

File details

Details for the file endi_celery-6.7.6.tar.gz.

File metadata

  • Download URL: endi_celery-6.7.6.tar.gz
  • Upload date:
  • Size: 60.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for endi_celery-6.7.6.tar.gz
Algorithm Hash digest
SHA256 d94bee38fb51de9236a1349d4b90606552fdee13723329971d29f54825c5d24a
MD5 1f3daf108211a7c8bfd8543a42c8fbaf
BLAKE2b-256 d3ec1dbe1df24ac88737377d75b88f8a150fdc03af430532a51d85e1b94e6de0

See more details on using hashes here.

File details

Details for the file endi_celery-6.7.6-py3-none-any.whl.

File metadata

  • Download URL: endi_celery-6.7.6-py3-none-any.whl
  • Upload date:
  • Size: 69.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for endi_celery-6.7.6-py3-none-any.whl
Algorithm Hash digest
SHA256 ad94d25ce179629e4e49e739c0eb7a2094b378152cd6de514a888e3ebde25ea3
MD5 7de462a8ead8aeace0ddea6b97e1d9c6
BLAKE2b-256 972fa0f923c3ca04fe4094a799bcb93034d339e96d0b3dbbcfaf8b58ad30cb8a

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