django-chroniker | Easily control cron jobs through Django 's admin | Cron Utils library
kandi X-RAY | django-chroniker Summary
kandi X-RAY | django-chroniker Summary
Chroniker - Django Controlled Cron Jobs.
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Top functions reviewed by kandi - BETA
- End all stale jobs
- Return all stale sessions that are stale
- Processes a root job
- Return the set of jobs that are chained to this job
- Estimate the length of the run
- Gets all monitors
- Run the worker
- Set the current heartbeat object
- View the duration graph
- Render a single input widget
- Returns the admin change url for an object
- Kill a process
- Run the cron job
- Return the time until the next run
- Render the model
- Renders a button to view the logs
- Get requirements from files
- Returns a list of jobs ordered by dependencies
- Return a list of due_dependencies
- Clear stalled jobs
- Cleanup migrations
- Get an rrule instance
- Checks if the duration is expired
- Write the lock file
- Update the heartbeat
- Check if an object is complete
django-chroniker Key Features
django-chroniker Examples and Code Snippets
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Trending Discussions on django-chroniker
QUESTION
I have an issue with my Postgresql database, I'm running my app in a container. I have a custom command in my Django app working minutely, when it start, my custom command check how many proxies there are and get the max ID and choose a random one.
It works well, but something gone wrong after, when I check if the proxy didn't work in my script, I delete it from my database, my database accept to delete it, nothing gone wrong here.
One minute after, when the command start again my command think it have the same number of proxy, when I check my database, I've got one less, so after some minutes my app choose randomly a proxy id who didn't exist.
...ANSWER
Answered 2019-Oct-04 at 09:47Here is a simpler get_proxy()
method:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install django-chroniker
You can use django-chroniker 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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