parviraptor 3.4.0

Django-based job queue

parviraptor

parviraptor is a Django app for managing queue-based jobs, both sequentially and in parallel.

This package provides

• abstract base classes and factories for modelling Django Model based job queues

• capabilities of supporting jobs' interdependencies

• a management command for processing job queues

• rudimentary Django views for monitoring and job queue statistics

Compatibility

parviraptor should be compatible with any Django codebase. The test suite covers Django 3.2, 4.0, 4.1 and 4.2 with each MySQL 5 and 8, the latter depending on which MySQL versions Django supports.

Running tests

Tests and lints are covered by just test, you can separately lint using the command just lint.

Development

For developing parviraptor it is necessary to have nix 2.x and direnv 2.x installed as system-wide dependencies. nix must have enabled the features "nix command" and "flake support".

The development shell can be invoked by e.g. direnv exec . zsh. Executing this for the first time might require to run direnv allow. Shorthand commands, for example those mentioned in chapter "Running tests", can be enumerated using just --help.

In order to test whether the package would be built correctly, you can run python setup.py build in the development shell to inspect whether build/lib/parviraptor/ looks as expected.

Installation

Just add 'parviraptor' to your INSTALLED_APPS Django setting as usual.

API outline

• parviraptor.models.AbstractJobFactory is a factory generating job base classes. For details, see the class documentation itself. Also, you can spy into tests/models.py to see job class examples which have (or don't have) interdependencies.

• parviraptor implements rudimentary views for monitoring (/queue-monitoring) and statistics (/open-queue-entries). You can reuse them by including the URLs by e.g.

    from django.urls import include, path
    urlpatterns = [
        # ...
        path("", include("parviraptor.urls")),
        # ...
    ]
  

  • /queue-monitoring: As a german IT department started implementing this functionality this endpoint serves "Alles OK" in case everything is fine. If there are failed, long unprocessed or long pending jobs, they are counted per queue and written down in english plain text.

  • /open-queue-entries serves a human-readable, styled table (in English) with open or pending job counts.

• The management command process_queue starts a worker for processing a certain job queue. It internally manages each necessary job transition (e.g. PROCESSING -> FAILED). parviraptor supports so-called temporary job failures, i.e. if a "temporary exception" is raised, parviraptor resumes the job respecting the per-job configurable backoff strategy.

  • generic call: ./manage.py process_queue <app_label> <model>.
  • example: ./manage.py process_queue very_busy_app HeavyDutyJob

• The management command clean_old_processed_jobs can be used for cleaning up stale job entries.

• parviraptor.test provides a simple API for testing job queues. parviraptor.test.make_test_case_for_all_queues infers a test class which automatically covers all queues in your current codebase. You just need to derive from JobEntryFactory and provide an implementation which covers creating concrete instances for each job class. For further details, see according class and function documentations.