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-6.6.6.tar.gz (57.1 kB view details)

Uploaded Source

Built Distribution

endi_celery-6.6.6-py3-none-any.whl (62.9 kB view details)

Uploaded Python 3

File details

Details for the file endi_celery-6.6.6.tar.gz.

File metadata

  • Download URL: endi_celery-6.6.6.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-6.6.6.tar.gz
Algorithm Hash digest
SHA256 1a2040f8df21aa00408cf55e4294e9c1a0a67dc2952f64c614ef4ad16b0e50ad
MD5 95c7d03b4f74a6a6fdec9f8b6424cb20
BLAKE2b-256 a5d5d026a7b5ade56ec26bd977ce49ca07fd37a48a4563e8f2003de2a47349d0

See more details on using hashes here.

File details

Details for the file endi_celery-6.6.6-py3-none-any.whl.

File metadata

  • Download URL: endi_celery-6.6.6-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-6.6.6-py3-none-any.whl
Algorithm Hash digest
SHA256 7584395e7cf6a1a033f29ccfbaf4464959e881440843f4ea96d5d4831e2c52c2
MD5 fc3dd68a50d33c342c7383c8ef7c44a2
BLAKE2b-256 a3077df6db52dfe418e6ca075f83412019a3e14dd0c48ef67dbbe329161c47f3

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