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-6.6.4.tar.gz (57.1 kB view details)

Uploaded Source

Built Distribution

endi_celery-6.6.4-py3-none-any.whl (62.9 kB view details)

Uploaded Python 3

File details

Details for the file endi_celery-6.6.4.tar.gz.

File metadata

  • Download URL: endi_celery-6.6.4.tar.gz
  • Upload date:
  • Size: 57.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for endi_celery-6.6.4.tar.gz
Algorithm Hash digest
SHA256 30f56db11f2006b6aa639cfb675fb40678228b70b93f78af1bcf868a024c371d
MD5 3566f14df41d7cb364e246852fe8edfe
BLAKE2b-256 926a76aa473c0e65035e1f7a6ae26926570b0ab40383c98681669cc12cd4ae92

See more details on using hashes here.

File details

Details for the file endi_celery-6.6.4-py3-none-any.whl.

File metadata

  • Download URL: endi_celery-6.6.4-py3-none-any.whl
  • Upload date:
  • Size: 62.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for endi_celery-6.6.4-py3-none-any.whl
Algorithm Hash digest
SHA256 86b468ed30202d43880ed89d3f6da0a5a4637a4fbeee124d9850f5eaff145706
MD5 2a00dbc96c61826aa8c74d38cf9955d0
BLAKE2b-256 cf35c0d7e4ad40424ffd3b801d6d07d4d31e802e7cd58cf1eb789423c18e2f09

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