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-6.5.9.tar.gz (54.4 kB view details)

Uploaded Source

Built Distribution

endi_celery-6.5.9-py3-none-any.whl (59.2 kB view details)

Uploaded Python 3

File details

Details for the file endi_celery-6.5.9.tar.gz.

File metadata

  • Download URL: endi_celery-6.5.9.tar.gz
  • Upload date:
  • Size: 54.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for endi_celery-6.5.9.tar.gz
Algorithm Hash digest
SHA256 19b141ebe5b8da5593f6b79d00460fd7dc03971b4ff8b663927770d9245e26ca
MD5 d43b255753d9a21f78789111f58b7e5f
BLAKE2b-256 67965638ec685b202a797bf5c006bab1553b63ed2c64791379fe5497e22792c4

See more details on using hashes here.

File details

Details for the file endi_celery-6.5.9-py3-none-any.whl.

File metadata

  • Download URL: endi_celery-6.5.9-py3-none-any.whl
  • Upload date:
  • Size: 59.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for endi_celery-6.5.9-py3-none-any.whl
Algorithm Hash digest
SHA256 c54e26eb4624405dedb484f3e22f412d6f9bd8756ebe059e07bbb435a97cc00e
MD5 7ab3e3ceae959a22becbf01f339e47f2
BLAKE2b-256 dfe410e37a5f0a5f27086c1f014ba41c0837ad30d6756009a745a0fd913228bc

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