So for all of our services we develop on feature branches, named after the JIRA issue number. We use git-hooks to inject the branch name (and thus the issue number) into the commit message, this hooks up commits with tickets, great!
We then get our developers to create a pull request from issue-number branch to master for the code review step. We automatically transition to the "Code Review" status on PR creation and transition to "Awaiting Test" on PR merge as we automatically deploy to our TEST environment on merges to master.
Now we release to our LIVE environment off a live branch, so we have a second PR from master -> live whenever we want to deploy. I'm aware I can set the same PR merge trigger to fulfil the automatic transition from "Awaiting Test" to "Resolved" (which to us means deployed to the LIVE environment) but often a single issue may have more than 1 PR so quite often we end up transitioning to "Awaiting Test" then straight to "Resolved" as we merge to issue-number, feature branches into master.
Now we can solve this issue if we have a conditional validator on the target branch for both transitions but I cannot see this anywhere in the JIRA cloud settings, anyone got any ideas how to achieve this (hopefully without resorting to Smart Commits :/)
PS. This is our workflow.
Screen Shot 2016-12-29 at 14.12.27.png
Nope doesn't work unfortunately, it still triggers all the way through to resolved in the case where there is only 1 pull request.
Looks like this is because of the evented nature of the transition triggers, because it listens to the same event twice, if it handles them in the wrong order it'll correctly transition from "Code Review" -> "Awaiting Test" on the first trigger. It'll then go from "Awaiting Test" -> "Resolved" on the second event, both of which pass the "Unreviewed Code Condition".
Thanks for your answer it's a step in the right direction and I'll be keeping it in place but it's not the full solution unfortunately :/
If you spend enough time as a Jira admin - whether you are managing a single, mid-sized instance, a large enterprise one or juggling multiple instances at once - you will eventually find yourself in ...
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