django-celery | Old Celery integration project for Django | Monitoring library
kandi X-RAY | django-celery Summary
kandi X-RAY | django-celery Summary
Old Celery integration project for Django
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Top functions reviewed by kandi - BETA
- 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
django-celery Key Features
django-celery Examples and Code Snippets
Lines of Code : 53License : Permissive (MIT)
Copycurl -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-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 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
Trending Discussions on django-celery
QUESTION
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 20:16AsyncIO 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:
QUESTION
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 08:33Solved it with this:
QUESTION
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 11:02django-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:
QUESTION
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 17:00Is rpc backend and task_ignore_result answer your needs :
QUESTION
I run the following line of code on a Docker container:
...ANSWER
Answered 2020-Dec-01 at 13:40Your problem is here:
QUESTION
I'm learning Celery and I'd like to ask:
- 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 INFOvia the terminal. - Can I make any type of configuration so Celery catches the changes in
tasks.pycode without the need to restart Celery? Now Ictrl+cand typecelery -A {prj name} worker -l INFOevery time I change something in thetasks.pycode. 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- I have a deploy script that launch
Celeryin production. In production it's better to launch worker :
QUESTION
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 20:25Are 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.
QUESTION
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 23:36As 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
QUESTION
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 19:08If 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.
QUESTION
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:
...ANSWER
Answered 2017-Nov-13 at 20:48When 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.
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Install django-celery
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.
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