django-apscheduler | APScheduler for Django | Job Scheduling library

 by   jcass77 Python Version: 0.6.2 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 install using 'pip install django-apscheduler' or download it from GitHub, PyPI.

[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. django-apscheduler is a great choice for quickly and easily adding basic scheduling features to your django applications with minimal dependencies and very little additional configuration. the ideal use case probably involves running a handful of tasks on a fixed execution schedule. the tradeoff of this simplicity is that you need to be careful to ensure that you only have one scheduler actively running at a particular point in time. this
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            kandi-support Support

              django-apscheduler has a low active ecosystem.
              It has 597 star(s) with 90 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 11 open issues and 124 have been closed. On average issues are closed in 28 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of django-apscheduler is 0.6.2

            kandi-Quality Quality

              django-apscheduler has 0 bugs and 0 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 0 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.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 1883 lines of code, 141 functions and 25 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed django-apscheduler and discovered the below as its top functions. This is intended to give you an instant insight into django-apscheduler implemented functionality, and help decide if they suit your requirements.
            • An atomic update or create a new one
            • Return Django datetime
            • Format datetime datetime
            • Gets the datetime from settings
            Get all kandi verified functions for this library.

            django-apscheduler Key Features

            No Key Features are available at this moment for django-apscheduler.

            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:.
            Add ``django_apscheduler`` to your ``INSTALLED_APPS`` setting like this:
            django-apscheduler comes with sensible configuration defaults out of the box. The defaults can be overridden by adding the following settings to your Django settings.py file:
            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.

            Support

            Please take note of the list of databases that are [officially supported by Django](https://docs.djangoproject.com/en/dev/ref/databases/#databases). django-apscheduler probably won’t work with unsupported databases like Microsoft SQL Server, MongoDB, and the like.
            Find more information at:

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            Install
          • PyPI

            pip install django-apscheduler

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            https://github.com/jcass77/django-apscheduler.git

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            gh repo clone jcass77/django-apscheduler

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            git@github.com:jcass77/django-apscheduler.git

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