Revision 75334966447176857cdd15c008a1fa182659d70b authored by Abhinav Sharma on 26 March 2024, 07:30:47 UTC, committed by GitHub on 26 March 2024, 07:30:47 UTC
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### Motivation and context
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**Issue: ** #7605
Currently, the command used in the official documentation is not
working, and giving error:
1. **Command Used**:
```shell
BACKEND_POD_NAME=$(kubectl get pod --namespace $HELM_RELEASE_NAMESPACE -l tier=backend,app.kubernetes.io/instance=$HELM_RELEASE_NAME -o jsonpath='{.items[0].metadata.name}') &&\
kubectl exec -it --namespace $HELM_RELEASE_NAMESPACE $BACKEND_POD_NAME -c cvat-backend-app-container -- python manage.py createsuperuser
```
2. **Actual Output**:
3. **Expected Output**:
### How has this been tested?
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I have run a minikube cluster, and run the as it is command in cluster,
which gives error:
```shell
error: cannot exec into a container in a completed pod; current phase is Succeeded
```
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- [x] I submit my changes into the `develop` branch
- [x] I have created a changelog fragment <!-- see top comment in
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- [x] I have updated the documentation accordingly
- [x] I have added tests to cover my changes
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- [x] I have increased versions of npm packages if it is necessary
([cvat-canvas](https://github.com/opencv/cvat/tree/develop/cvat-canvas#versioning),
[cvat-core](https://github.com/opencv/cvat/tree/develop/cvat-core#versioning),
[cvat-data](https://github.com/opencv/cvat/tree/develop/cvat-data#versioning)
and
[cvat-ui](https://github.com/opencv/cvat/tree/develop/cvat-ui#versioning))
### License
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project.
Feel free to contact the maintainers if that's a concern.
Co-authored-by: abhinav.sharma <abhinav.sharma@zeeve.io> 1 parent aab1576
rqscheduler.py
#!/usr/bin/env python
# This script adds access to the Django env and settings in the default rqscheduler
# implementation. This is required for correct work with CVAT queue settings and
# their access options such as login and password.
# Required to initialize Django settings correctly
from cvat.asgi import application # pylint: disable=unused-import
from rq_scheduler.scripts import rqscheduler
if __name__ == '__main__':
rqscheduler.main()
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