django-q | A multiprocessing distributed task queue for Django | BPM library
kandi X-RAY | django-q Summary
kandi X-RAY | django-q Summary
A multiprocessing distributed task queue for Django
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Top functions reviewed by kandi - BETA
- Monitor the console
- Saves a task
- Return a broker instance
- Store the result of the task
- Show current configuration
- Get list of running clusters
- Stop the cluster
- Start the Q cluster
- Generate a new UUID
- Return a humanized representation of a hexdigest
- Compress given bytes to given target length
- Start the worker
- Guard the worker
- Dequeue tasks
- Get a connection to the database
- Return a status object
- Get the key for a cluster
- Get the key for this cluster
- Retry failed tasks
- Overrides get method
- Returns the number of locks
- Enqueue a task
- Returns the number of items in the queue
- Called when a signal is received
- Dequeue task from queue
- Get all registered packages
django-q Key Features
django-q Examples and Code Snippets
Community Discussions
Trending Discussions on django-q
QUESTION
Quill editor v0.1.40 works fine on my local computer, but when in production, QuillFileds are invisible on admin panel – only labels appear:
When inspecting the admin page on Chrome, I see such errors on the console:
...ANSWER
Answered 2022-Apr-05 at 12:00On my development settings, static configuration was as follows:
QUESTION
When deoploying my website with Heroku, I run into the following issue:
...ANSWER
Answered 2022-Mar-16 at 11:34It looks like you have a typo in your settings.py
. Something like this:
QUESTION
Many times, one needs to check if there is at least one element inside a QuerySet
. Mostly, I use exists
:
ANSWER
Answered 2022-Mar-02 at 17:46Is using python's any function unoptimal?
The most Pythonic way would be:
QUESTION
I'm trying to install pyodbc on Django to access Sql Server but the Docker image had no be built.
The Dockerfile:
...ANSWER
Answered 2022-Feb-22 at 13:46Compiler is simply complaining about a build time dependency, cc1 tool should be in your system to build pyodbc.
In Ubuntu you can solve this with
QUESTION
I found this discussion about annotation over querysets. I wonder, if that ever got implemented?
When I run the following annotation:
...ANSWER
Answered 2022-Feb-13 at 09:15I think you have a few options here, an annotate is not one of them at this time.
QUESTION
In Django, I need to query a table to get some details from the database. I need the results BOTH in the views and in ALL of my templates.
Is there a way to only run this query once?
Here is my current setup if I don't use a context processor:
views.py
:
ANSWER
Answered 2022-Feb-02 at 20:58Is there a way to somehow 'centralize' the query and have it run only once, and still inserting it into the template file AND having it available within the function of the view?
QuerySet
s are lazy constructing a queryset will not make a database request, you make a query to the database if you consume the queryset, for example by enumerating over it, calling str(…)
, repr(…)
and len(…)
on it, check its truthiness with bool(…)
or in an if
/elif
clause.
If you thus use a context processor that passes the filtered queryset to the template, and you do not use the queryset in a way described above, that will not make a query. Furthermore if the data is passed to the context, it will override the data in the context processor. So you can add it to the context in case you already evaluated it in the view, to prevent making a second database query you thus override this in the context, such that there is no reference to the "other" queryset, and the result is reused.
You need to be careful not to construct a new query if the one is evaluated. For example if qs
is an evaluated queryset, you should work with qs
again, if you work with qs.all()
this will make a new QuerySet
that will then make a query to the database.
QUESTION
I have two models, where one of them has a TreeManyToMany field (a many-to-many field for django-mptt models).
...ANSWER
Answered 2022-Jan-30 at 15:52You should probably check if the reason why you are having those errors is because of duplicate data. If that's the case, I think the ignore_conflicts
parameter of bulk_create
can solve your problem. It will save every valid entry and ignore those who have duplicate conflict.
Check the doc: https://docs.djangoproject.com/en/3.2/ref/models/querysets/#django.db.models.query.QuerySet.bulk_create
QUESTION
I want to run supervisor to have multiple processes in the same container, as I can't use docker-compose in our current hosting environment. Things seems to work when I look in the docker logs, but I can't see the supervisor service inside the linux system when I've attached my terminal to the container.
When I check the logs for the container I get:
...ANSWER
Answered 2021-Dec-22 at 09:50You are starting supervisord
manually. service
command won't report its status correctly.
QUESTION
I don't know if the title of the question is formed well enough. But essentially I would like to be able to do something like this from front end :
...ANSWER
Answered 2021-Dec-03 at 11:41I think it will be something like this.
QUESTION
I am trying to run someone else's code without a requirements.txt file and it says: ModuleNotFoundError: No module named 'django-quill
. I tried to do pip install django-quill
in a virtual env but I still get the same error. What am I missing here?
ANSWER
Answered 2021-Oct-31 at 19:33As it turns out, I had to run pip install django-quill-editor
in order for the code to work as expected. I am still not sure why the original command did not work but this resolved the issue for me.
You can find the official setup guide for Django quill
here: https://github.com/LeeHanYeong/django-quill-editor#setup
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install django-q
You can use django-q 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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