django-task | Django app to run new background tasks | Cron Utils library
kandi X-RAY | django-task Summary
kandi X-RAY | django-task Summary
A Django app to run new background tasks from either admin or cron, and inspect task history from admin
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Top functions reviewed by kandi - BETA
- Return a list of task objects
- Return a dictionary representation of the job
- Returns the duration of the task
- Display the duration in seconds
- Create new task
- Set the value of the log_text field
- Runs a task
- Gets a model by id
- Logs a message at the given level
- Retrieve a task from an ID
- Schedules the task
- Get the job class
- The task run API endpoint
- Run this task
- Render a table as a table row
- Returns a HttpResponse for a file
- Render a table row as a table row
- Echo the settings to stderr
- Run a task
- List all Task classes
- Returns the version string
- Render the start of the object
- Render the progress page
- Retrieve the parameters as a table
- Execute a task
- Return the log text of the object
django-task Key Features
django-task Examples and Code Snippets
KRONOS_PREFIX = 'env - `cat {}` '.format(os.path.join(BASE_DIR, '.env_constants'))
DB_NAME=db_name
DB_USER=db_user
DB_PASSWORD=db_password
DB_HOST=localhost
DB_PORT=port_no
* * * * * env -
Community Discussions
Trending Discussions on django-task
QUESTION
ANSWER
Answered 2020-Nov-12 at 21:00This is the part that is wrong:
QUESTION
Im using django celery and celery beat to run periodic tasks. I run a task every one minute to get some data via SNMP.
My function uses asyncio as per the below. I have put a check in the code to check if the loop is closed and to create a new one.
but what seems to be happening is every few tasks, I get an failure and in the Django-tasks-results db I have the below traceback. there seems to be a failure around every 3 minutes, but there are successes every minute there are not failures
Error:
...ANSWER
Answered 2018-May-30 at 08:29from these urls suggested by user4815162342
When to use and when not to use Python 3.5 `await` ?
When running ascync functions, any input output operation needs to be async compatible, except functions that are run in memory. (in my example a regex query)
i.e any function that needs to gather data from another source (a django query in my example) which is not async compatible must be run in an executor.
I think I have now fixed my issues by running all django DB calls in executors, I have not had an issue running the script ad hoc since.
However I have compatibility issue with celery and async (as celery is not yet compatible with asyncio which throws up some errors, but not the errors I was previously seeing)
QUESTION
This is a continuation from last question here Coding mental block with specific Django task
The answer was:
A pure django solution would be:
- create a form with three integer fields (say,
num1
,num2
andresult
) - in your view, populate
num1
andnum2
with the numbers to be added - render the form in your template (
num1
andnum2
fields should be read only) - the user enters the answer in the
result
field and submits the form - in your view, determine whether
num1 + num2 == result
- redirect to a success page if the answer is correct, otherwise redisplay the form
However, as I am working through the steps, my form was not being rendered properly.
views.py
...ANSWER
Answered 2018-Jan-01 at 07:11If I understand correctly, the form
that you call in the html file is the form
in the function post_question
in views.py, isn't it? And where is the class QuestionForm
?, can you show us the code of it? Because as I see, the class MyForm
is still unused in file views.py. It would be easier if you also show us the import in views.py and the class QuestionForm
instead of just a nonsensical MyForm
. Cheer!
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-task
You can use django-task 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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