django-apscheduler | APScheduler for Django | Job Scheduling library

 by   jarekwg Python Version: 0.4.2 License: MIT

kandi X-RAY | django-apscheduler Summary

kandi X-RAY | django-apscheduler Summary

django-apscheduler is a Python library typically used in Data Processing, Job Scheduling applications. django-apscheduler has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

[Code style:black] This is a Django app that adds a lightweight wrapper around APScheduler. It enables storing persistent jobs in the database using Django’s ORM.
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              django-apscheduler has a low active ecosystem.
              It has 273 star(s) with 60 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 76 have been closed. On average issues are closed in 245 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of django-apscheduler is 0.4.2

            kandi-Quality Quality

              django-apscheduler has 0 bugs and 10 code smells.

            kandi-Security Security

              django-apscheduler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              django-apscheduler code analysis shows 0 unresolved vulnerabilities.
              There are 2 security hotspots that need review.

            kandi-License License

              django-apscheduler is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              django-apscheduler releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              django-apscheduler saves you 590 person hours of effort in developing the same functionality from scratch.
              It has 1376 lines of code, 104 functions and 24 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            django-apscheduler Key Features

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            django-apscheduler Examples and Code Snippets

            No Code Snippets are available at this moment for django-apscheduler.

            Community Discussions

            QUESTION

            Stop the running instances when max_instances is reached
            Asked 2022-Mar-14 at 19:52

            I'm using apscheduler-django and I created a task that loops every 10 seconds.

            This function will make a request to an API and save the content to my database (PostgreSQL).

            This is my task:

            ...

            ANSWER

            Answered 2022-Mar-14 at 19:29

            apscheduler and apscheduler-django don't directly support that.

            You can implement and use a custom executor that tracks the process running a job and kills the process if trying to submit a job that is currently running.

            Here's a MaxInstancesCancelEarliestProcessPoolExecutor that uses pebble.ProcessPool.

            Source https://stackoverflow.com/questions/71365660

            QUESTION

            Django run function periodically in background
            Asked 2021-Aug-22 at 18:30

            I have a function that fetches data and needs to be run periodically.
            All I care about is running it every 30 seconds.

            I searched and found the following options -

            1. celery
            2. django-apscheduler
            3. Apscheduler

            I have tried Apscheduler using BackgroundScheduler and it has this problem that it'll run a new scheduler for each process.
            I am completely new to scheduling functions and have no idea which one I should use or if there is a better way.

            ...

            ANSWER

            Answered 2021-Aug-22 at 18:30

            I experienced a similar issue and solved it by creating a custom management command and scheduling it on the web server.

            Within the root of the app, create management/commands directory:

            Source https://stackoverflow.com/questions/68883651

            QUESTION

            Django run tasks (possibly) in the far future
            Asked 2020-Apr-01 at 11:03

            Suppose I have a model Event. I want to send a notification (email, push, whatever) to all invited users once the event has elapsed. Something along the lines of:

            ...

            ANSWER

            Answered 2020-Apr-01 at 11:03

            We're doing something like this in the company i work for, and the solution is quite simple.

            Have a cron / celery beat that runs every hour to check if any notification needs to be sent. Then send those notifications and mark them as done. This way, even if your notification time is years ahead, it will still be sent. Using ETA is NOT the way to go for a very long wait time, your cache / amqp might loose the data.

            You can reduce your interval depending on your needs, but do make sure they dont overlap.

            If one hour is too huge of a time difference, then what you can do is, run a scheduler every hour. Logic would be something like

            1. run a task (lets call this scheduler task) hourly that gets all notifications that needs to be sent in the next hour (via celery beat) -
            2. Schedule those notifications via apply_async(eta) - this will be the actual sending

            Using that methodology would get you both of best worlds (eta and beat)

            Source https://stackoverflow.com/questions/60439489

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install django-apscheduler

            Add ``django_apscheduler`` to your ``INSTALLED_APPS`` setting like this:. The format for displaying run time timestamps in the Django admin site is configurable using ``APSCHEDULER_DATETIME_FORMAT``. The default just adds seconds to the standard Django format. This is useful for displaying the exact run time of jobs that are scheduled to run on intervals of less than a minute. Run python manage.py migrate to create the django_apscheduler models.
            Add ``django_apscheduler`` to your ``INSTALLED_APPS`` setting like this:
            The format for displaying run time timestamps in the Django admin site is configurable using ``APSCHEDULER_DATETIME_FORMAT``. The default just adds seconds to the standard Django format. This is useful for displaying the exact run time of jobs that are scheduled to run on intervals of less than a minute.
            Run python manage.py migrate to create the django_apscheduler models.
            Add a [custom Django management command](https://docs.djangoproject.com/en/dev/howto/custom-management-commands/) to your project that schedules the APScheduler jobs and starts the scheduler:
            This management command should be invoked via ./manage.py runapscheduler whenever the web server serving your Django application is started. The details of how and where this should be done is implementation specific, and depends on which web server you are using and how you are deploying your application to production. For most people this should involve configuring a [supervisor](http://supervisord.org) process of sorts.
            Register any APScheduler jobs as you would normally. Note that if you haven’t set DjangoJobStore as the 'default' job store, then you will need to include jobstore='djangojobstore' in your scheduler.add_job calls.
            The id assigned to each job must be unique. For example:
            You can also use the custom @register_job decorator for job registration. This will assign a unique id based on the Python module and function name automatically:
            All of the jobs that have been scheduled are viewable directly in the Django admin interface.
            django_apscheduler will create a log of all job executions and their associated APScheduler status that can also be viewed via the Django admin interface.
            Note that APScheduler will [automatically remove jobs](https://apscheduler.readthedocs.io/en/latest/userguide.html#removing-jobs) that are not scheduled to trigger again from the job store. This will also delete the corresponding job execution entries for that job from the database (i.e. job execution logs are only maintained for active jobs.)

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