django-celery | Old Celery integration project for Django | Monitoring library

 by   celery Python Version: v3.2.0 License: BSD-3-Clause

kandi X-RAY | django-celery Summary

kandi X-RAY | django-celery Summary

django-celery is a Python library typically used in Performance Management, Monitoring applications. django-celery has build file available, it has a Permissive License and it has high support. However django-celery has 2 bugs and it has 2 vulnerabilities. You can download it from GitHub.

Old Celery integration project for Django
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            kandi-support Support

              django-celery has a highly active ecosystem.
              It has 1475 star(s) with 468 fork(s). There are 73 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 76 open issues and 335 have been closed. On average issues are closed in 347 days. There are 10 open pull requests and 0 closed requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of django-celery is v3.2.0

            kandi-Quality Quality

              OutlinedDot
              django-celery has 2 bugs (1 blocker, 1 critical, 0 major, 0 minor) and 30 code smells.

            kandi-Security Security

              django-celery has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              OutlinedDot
              django-celery code analysis shows 2 unresolved vulnerabilities (2 blocker, 0 critical, 0 major, 0 minor).
              There are 5 security hotspots that need review.

            kandi-License License

              django-celery is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              django-celery releases are available to install and integrate.
              Build file is available. You can build the component from source.
              django-celery saves you 1801 person hours of effort in developing the same functionality from scratch.
              It has 3981 lines of code, 365 functions and 77 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed django-celery and discovered the below as its top functions. This is intended to give you an instant insight into django-celery implemented functionality, and help decide if they suit your requirements.
            • Return the current schedule
            • Check if the database has changed
            • Return the last update
            • Return a dictionary with all registered models
            • Fix references to xref
            • Colorize text
            • Configure Celery
            • Create a default settings module
            • Decorator to ensure a function is respected
            • Context manager to context manager
            • Formats the tstamp timestamp
            • Create or update a task
            • Save the object
            • Check task status
            • Run celery from command line
            • Render node state
            • Restore group metadata
            • Split a path
            • Closes the database
            • Monkey patches the thread s ident
            • Decorator to wrap a task webhook
            • Format a fixedwidth field
            • Decorator to convert unicode to unicode
            • Include sphinx file
            • View function
            • Create or update an existing object
            Get all kandi verified functions for this library.

            django-celery Key Features

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

            django-celery Examples and Code Snippets

            docker-django-celery-tutorial,實戰 Django + Celery
            Pythondot img1Lines of Code : 53dot img1License : Permissive (MIT)
            copy iconCopy
            curl -H "Authorization: token 7f304579ba192b9d351aa8468e09dd9dca29ff31" "https://api.github.com/search/repositories?q=twtrubiks"
            
            docker-compose up
            
            celery -A django_crawler_celery worker -l info
            
            def chain_tasks(language):
                # crawler_repos ->   
            docker-django-celery-tutorial,執行畫面
            Pythondot img2Lines of Code : 12dot img2License : Permissive (MIT)
            copy iconCopy
            docker-compose up
            
            @require_http_methods(["POST", ])
            @csrf_exempt
            def task_use_celery(request):
                if request.method == 'POST':
                    task_id = chain_tasks('python')
                    return JsonResponse({"data": task_id})
            
            def dashboard(request):
                resul  
            copy iconCopy
            pip install django-celery-results
            
            INSTALLED_APPS = (
                ...,
                'django_celery_results',
            )
            
            python manage.py migrate django_celery_results
            
            CELERY_RESULT_BACKEND = 'django-db'
            
            from django_celery_results.models import  TaskResult
            TaskResult.object  

            Community Discussions

            QUESTION

            I want to keep a long process running in the background in django
            Asked 2021-Jun-02 at 20:16

            I am a beginner in django.

            I want to keep running long processes in django in the background.

            And I want to keep it running unless I explicitly end that process.

            I can't figure out where and how to add the following code to django.

            ...

            ANSWER

            Answered 2021-Jun-02 at 20:16

            AsyncIO event loops are not thread safe; you can't run the loop from a different thread than it was originally created on. Your run_loop function should instead take no arguments, and create/start a new event loop to run your coroutine:

            Source https://stackoverflow.com/questions/67797499

            QUESTION

            TruncMinute Celery TaskResult
            Asked 2021-Feb-21 at 08:33

            I am trying to display statistics about the "django-celery-results" I need a list to use for chartjs.

            ...

            ANSWER

            Answered 2021-Feb-21 at 08:33

            QUESTION

            django-celery vs django-celery-beat with Django 2.2
            Asked 2020-Dec-24 at 11:02

            We have been working with celery and django-celery till now but recently we planned to migrate our codebase to Django==2.2 and looks like django-celery doesn't have support for Django==2.2 yet.

            With django-celery we could configure periodic tasks from django admin. Is it safe to assume that if I want the similar functionality then apart from Celery package and running celerybeat instance I would have to install django-celery-beat package instead of django-celery - without doing massive code changes?

            ...

            ANSWER

            Answered 2020-Dec-24 at 11:02

            django-celery can be removed. I used it but celery can work fine without it. Just see https://docs.celeryproject.org/en/stable/django/first-steps-with-django.html

            Your tasks remains the same.

            I used periodic tasks with the following packages installed:

            Source https://stackoverflow.com/questions/65436484

            QUESTION

            Django Celery Beat and Tasks Results
            Asked 2020-Dec-13 at 22:57

            Is it possible for django-celery-beat not to save tasks that are performed in a short time interval? By default, all results are saved to the Task Results table.

            I cannot find this information on celeryproject webpage.

            Alternatively, what should be the settings for postgres auto vacuum so that indexes don't take up that much disk space?

            I want a simple solution. Overwriting django celery logic is not an option.

            ...

            ANSWER

            Answered 2020-Nov-13 at 17:00

            Is rpc backend and task_ignore_result answer your needs :

            Source https://stackoverflow.com/questions/64824894

            QUESTION

            Cannot fix django.core.exceptions.AppRegistryNotReady: Apps aren't loaded yet
            Asked 2020-Dec-01 at 13:40

            I run the following line of code on a Docker container:

            ...

            ANSWER

            Answered 2020-Dec-01 at 13:40

            QUESTION

            Django: Celery worker in production, Ubuntu 18+
            Asked 2020-Nov-19 at 10:37

            I'm learning Celery and I'd like to ask:

            1. Which is the absolute simplest way to get Celery to automatically run when Django starts in Ubuntu?. Now I manually start celery -A {prj name} worker -l INFO via the terminal.
            2. Can I make any type of configuration so Celery catches the changes in tasks.py code without the need to restart Celery? Now I ctrl+c and type celery -A {prj name} worker -l INFO every time I change something in the tasks.py code. I can foresee a problem in such approach in production if I can get Celery start automatically ==> need to restart Ubuntu instead?.

            (setup: VPS, Django, Ubuntu 18.10 (no docker), no external resources, using Redis (that starts automatically)

            I am aware it is a similar question to Django-Celery in production and How to ... but still it is a bit unclear as it refers to amazon and also using shell scripts, crontabs. It seems a bit peculiar that these things wouldn't work out of the box.

            I give benefit to the doubt that I have misunderstood the setup of Celery.

            ...

            ANSWER

            Answered 2020-Nov-19 at 10:37
            1. I have a deploy script that launch Celery in production. In production it's better to launch worker :

            Source https://stackoverflow.com/questions/64909785

            QUESTION

            Tried scheduling a function in django with celery beat but giving error
            Asked 2020-Sep-26 at 20:25

            Tried to schedule a function print_hello() in Django. But code seems not working.

            Here is the Django project layout. Only celery related files are given.

            ...

            ANSWER

            Answered 2020-Sep-26 at 20:25

            Are you running RabbitMQ? - Celery broker (You can also choose to use Redis, a commonly used celery broker). The default port of RabbitMQ is 5672.

            For reference have a look at this You can also find usage of @shared_task in the above repository mentioned.

            Source https://stackoverflow.com/questions/64078211

            QUESTION

            Celery and RabbitMQ I am not receiving updates for my task
            Asked 2020-Jul-06 at 23:36

            How are you? I am working on django 2.2, celery 4.4.2 and In my tasks.py file I have the following code

            ...

            ANSWER

            Answered 2020-Jul-06 at 23:36

            As I mentioned the updates were within a FOR cycle, for it I made a Recursive functions where AsyncResult is found, in my case the django view. This retrieves the status of the task. And I end it (task.state = SUCCESS) when the oer_number = TotalOER.

            Seeing what with perspective was logical, it is updated in a FOR cycle it is recovered in a recursive functions mmm things that one forgets. So it only recovers a single value

            Source https://stackoverflow.com/questions/62758476

            QUESTION

            Django project celery and django-filter causing errors
            Asked 2020-Jun-04 at 19:08

            I had a working django project, but I started getting errors with celery after I added django-filter to my requirements file.

            I'm using python 3.7 and here's the list of installed packages w/ versions:

            ...

            ANSWER

            Answered 2020-Jun-04 at 19:08

            If you install packages using a tool like pipenv or similar package managers, then they will upgrade all out of date packages unless you tell them not to.

            In this case celery was upgraded to 4.4.4 and you've hit a rather embarrassing bug in celery (honestly... how that did that get through CI?), but at least with an easy fix of installing the future module.

            Source https://stackoverflow.com/questions/62201633

            QUESTION

            Celery workers unable to connect to redis on docker instances
            Asked 2020-May-21 at 19:22

            I have a dockerized setup running a Django app within which I use Celery tasks. Celery uses Redis as the broker.

            Versioning:

            • Docker version 17.09.0-ce, build afdb6d4
            • docker-compose version 1.15.0, build e12f3b9
            • Django==1.9.6
            • django-celery-beat==1.0.1
            • celery==4.1.0
            • celery[redis]
            • redis==2.10.5

            Problem:

            My celery workers appear to be unable to connect to the redis container located at localhost:6379. I am able to telnet into the redis server on the specified port. I am able to verify redis-server is running on the container.

            When I manually connect to the Celery docker instance and attempt to create a worker using the command celery -A backend worker -l info I get the notice:

            [2017-11-13 18:07:50,937: ERROR/MainProcess] consumer: Cannot connect to redis://localhost:6379/0: Error 99 connecting to localhost:6379. Cannot assign requested address.. Trying again in 4.00 seconds...

            Notes:

            I am able to telnet in to the redis container on port 6379. On the redis container, redis-server is running.

            Is there anything else that I'm missing? I've gone pretty far down the rabbit hole, but feel like I'm missing something really simple.

            DOCKER CONFIG FILES:

            docker-compose.common.yml here
            docker-compose.dev.yml here

            ...

            ANSWER

            Answered 2017-Nov-13 at 20:48

            When you use docker-compose, you aren't going to be using localhost for inter-container communication, you would be using the compose-assigned hostname of the container. In this case, the hostname of your redis container is redis. The top level elements under services: are your default host names.

            So for celery to connect to redis, you should try redis://redis:6379/0. Since the protocol and the service name are the same, I'll elaborate a little more: if you named your redis service "butter-pecan-redis" in your docker-compose, you would instead use redis://butter-pecan-redis:6379/0.

            Also, docker-compose.dev.yml doesn't appear to have celery and redis on a common network, which might cause them not to be able to see each other. I believe they need to share at least one network in common to be able to resolve their respective host names.

            Networking in docker-compose has an example in the first handful of paragraphs, with a docker-compose.yml to look at.

            Source https://stackoverflow.com/questions/47272072

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

            Vulnerabilities

            No vulnerabilities reported

            Install django-celery

            You can download it from GitHub.
            You can use django-celery like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/celery/django-celery.git

          • CLI

            gh repo clone celery/django-celery

          • sshUrl

            git@github.com:celery/django-celery.git

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