Skip to main content

Background job processing for Plain.

Project description

Worker

Process background jobs with a database-driven worker.

Jobs are defined using the Job base class and the run() method at a minimum.

from plain.worker import Job, register_job
from plain.email import send_mail


@register_job
class WelcomeUserJob(Job):
    def __init__(self, user):
        self.user = user

    def run(self):
        send_mail(
            subject="Welcome!",
            message=f"Hello from Plain, {self.user}",
            from_email="welcome@plainframework.com",
            recipient_list=[self.user.email],
        )

You can then create an instance of the job and call run_in_worker() to enqueue it for a background worker to pick up.

user = User.objects.get(id=1)
WelcomeUserJob(user).run_in_worker()

Workers are run using the plain worker run command.

Installation

Install plain.worker and add it to your INSTALLED_PACKAGES.

# app/settings.py
INSTALLED_PACKAGES = [
    ...
    "plain.worker",
]

Jobs can be defined in any Python file, but it is suggested to use app/jobs.py or app/{pkg}/jobs.py as those will be imported automatically so the @register_job will fire.

Local development

In development, you will typically want to run the worker alongside your app. With plain.dev you can do this by adding it to the [tool.plain.dev.run] section of your pyproject.toml file. Currently, you will need to use something like watchfiles to add auto-reloading to the worker.

# pyproject.toml
[tool.plain.dev.run]
worker = {cmd = "watchfiles --filter python \"plain worker run --stats-every 0 --max-processes 2\" ."}
worker-slow = {cmd = "watchfiles --filter python \"plain worker run --queue slow --stats-every 0 --max-processes 2\" ."}

Job parameters

TODO

Admin

TODO

Job history

TODO

Scheduled jobs

TODO

Monitoring

TODO

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

plain_worker-0.25.1.tar.gz (20.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

plain_worker-0.25.1-py3-none-any.whl (25.6 kB view details)

Uploaded Python 3

File details

Details for the file plain_worker-0.25.1.tar.gz.

File metadata

  • Download URL: plain_worker-0.25.1.tar.gz
  • Upload date:
  • Size: 20.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.8.2

File hashes

Hashes for plain_worker-0.25.1.tar.gz
Algorithm Hash digest
SHA256 1f4c27ab85c3f0d3c1eaf233b73f7c86700be2d23fc0959923e5bae1667b8364
MD5 856f4478d4ee1c20e6eebdc52d13c1a5
BLAKE2b-256 a44e6aa6fa94023255974516201ffcc5293508ce4f96b7e022ac4527fe20ca80

See more details on using hashes here.

File details

Details for the file plain_worker-0.25.1-py3-none-any.whl.

File metadata

File hashes

Hashes for plain_worker-0.25.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8349fb13f457e791fb259cbe1a35ecc932d8242213197c096a3e1bb6a8f332a3
MD5 e4fa483550f18232aeb4b9b5e9b58fd7
BLAKE2b-256 b8d195e57cf9a4c7711d54af71335c9dbfaadb0f585321d3901137831e5fc964

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page