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Unable to get python app running from a remote and close connection
I have a bitbucket pipeline file
bitbucket-pipelines.yml which executes the file
deploy.sh on my DO droplet each time a new commit is made to the main branch.
deploy.sh in turn calls
pull.sh which performs a set of actions:
- If it exists, kill the existing
- Change to the directory containing the repo
- Pull from the repo
- Change to the directory containing
It’s at this last step that my bitbucket pipeline will continue executing (consuming all my build minutes).
Is there any way that I can run the file refgator-api.py and exiting the session whilst still allowing it to run?
I’ve attempted using
&as well as
exit. Neither result in a state where the pipeline disconnects from the DO droplet and stops and the application is running on the droplet.
image: atlassian/default-image:latest pipelines: default: - step: script: - cat ./deploy.sh | ssh -tt email@example.com - echo "Deploy step finished"
echo "Deploy Script Started" cd sh pull.sh echo "Deploy script finished execution"
## Kills the current process which is restarted later kill -9 $(pgrep -f refgator-api.py) ## And change to directory containing the repo cd eg-api ## Pull from the repo export GIT_SSH_COMMAND="ssh -i ~/.ssh/id_rsa.pub" GIT_SSH_COMMAND="ssh -v" git pull firstname.lastname@example.org:myusername/myrepo.git ## Change to directory containing the python file to execute cd refgator-api python3 refgator-api.py &
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