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(pk=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-0.22.0.tar.gz (19.7 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-0.22.0-py3-none-any.whl (33.7 kB view details)

Uploaded Python 3

File details

Details for the file plain_worker-0.22.0.tar.gz.

File metadata

  • Download URL: plain_worker-0.22.0.tar.gz
  • Upload date:
  • Size: 19.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.6.14

File hashes

Hashes for plain_worker-0.22.0.tar.gz
Algorithm Hash digest
SHA256 1ec219d167beee860fb0e6dc1b4f8d385c577925614f823f2eba14a6319a7eee
MD5 93b5c78e130c69b2b11729eaab36c32a
BLAKE2b-256 58dde62b3665df64b34e4382404a45b9b4dd81b6c200b5cf84c189f8e04a4979

See more details on using hashes here.

File details

Details for the file plain_worker-0.22.0-py3-none-any.whl.

File metadata

File hashes

Hashes for plain_worker-0.22.0-py3-none-any.whl
Algorithm Hash digest
SHA256 db75d99c1b689a1fa28cba8abdf7c3fb8e4882b4f435f6bca2f2615c5226514c
MD5 090eeced71a52aa17f11c28a548ec13d
BLAKE2b-256 424d0301d01c47c2e8151f29a4668110b5f7209cd07d7bb8d5841212c1865376

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