A branch job in which the branch property of the trigger property is using a variable will always fail with reason: downstream pipeline can not be created.
trigger
property as you would normally.branch
property to the trigger property. Write the name of an existing branch on the downstream repository, like master
/main
or the name of a feature branch.branch
property to use a variable instead, like branch: $CI_TARGET_BRANCH
.The goal is to create a GitLab CI config that runs the pipeline of a specified downstream branch. The bug occurs when attempting to do it with a variable.
This works, creating a downstream pipeline like normal. But the branch name is hardcoded:
stages:
- deploy
deploy:
variables:
environment: dev
stage: deploy
trigger:
project: group/project
branch: foo
strategy: depend
This does not work; although TARGET_BRANCH
is set successfully, the job fails because the downstream pipeline can not be created:
stages:
- removeme
- deploy
before_script:
- if [ -z "$TARGET_BRANCH" ]; then TARGET_BRANCH="main"; fi
- echo $TARGET_BRANCH
test_variable:
stage: removeme
script:
- echo $TARGET_BRANCH
deploy:
variables:
environment: dev
stage: deploy
trigger:
project: group/project
branch: $TARGET_BRANCH
strategy: depend
If you know what I'm doing wrong, or you have something that does work with variable expansion of the branch property, please share it (along with your GitLab version). Alternate solutions are also welcome, but this one seems like it should work.
Self-hosted GitLab Community Edition 12.10.7
The job always fails for reason: downstream pipeline can not be created.
The branch
property should be set to the value of the variable and the downstream pipeline should be created as normal, just as if you simply hardcoded/typed the name of the branch.
branch
property of the trigger property.master
/main
, or having to use only
/except
.TL;DR: How to use the value of a variable for the branch property of a bridge job? My current solution makes it so the job fails and the downstream pipeline isn't created.
Use a project keyword to specify the full path to a downstream project. Use a branch keyword to specify a branch name. GitLab will use a commit that is currently on the HEAD of the branch when creating a downstream pipeline.
A downstream job is a configured project that is triggered as part of a execution of pipeline. Upstream and downstream jobs help you to configure the sequence of execution for different operations and hence you can orchestrate the flow of execution.
GitLab CI/CD is a powerful continuous integration tool that works not only per project, but also across projects with multi-project pipelines. Multi-project pipelines are useful for larger products that require cross-project inter-dependencies, such as those adopting a microservices architecture.
this is a 'works as designed', and gitlab will improve in upcoming releases.
trigger job will pretty weak b/c it is not a full job that runs on a runner. Therefore most of the trigger configuration needs to be hardcoded.
I use direct API calls to trigger downstream jobs passing the CI_JOB_TOKEN which links the upstream job to downstream as the trigger does
API calls give you full control
curl -X POST \
-s \
-F token=${CI_JOB_TOKEN} \
-F "ref=${REF_NAME}" \
-F "variables[STAGE]=${STAGE}" \
"${CI_SERVER_URL}/api/v4/projects/${CI_PROJECT_ID}/trigger/pipeline"
now this will not wait and monitor for when the job is done so you will need to code for that if you need to wait for the downstream job to finish,
Moreover, CI_JOB_TOKEN cannot be used to get the status of the downstream job, so you will another token for that.
- |
DOWNSTREAM_RESULTS=$( curl --silent -X POST \
-F token=${CI_JOB_TOKEN} \
-F "ref=${DOWNSTREAM_PROJECT_REF}" \
-F "variables[STAGE]=${STAGE}" \
-F "variables[SLS_PACKAGE_PATH]=.serverless-${STAGE}" \
-F "variables[INVOKE_SLS_TESTS]=false" \
-F "variables[UPSTREAM_PROJECT_REF]=${CI_COMMIT_REF_NAME}" \
-F "variables[INSTALL_SLS_PLUGINS]=${INSTALL_SLS_PLUGINS}" \
-F "variables[PROJECT_ID]=${CI_PROJECT_ID}" \
-F "variables[PROJECT_JOB_NAME]=${PROJECT_JOB_NAME}" \
-F "variables[PROJECT_JOB_ID]=${PROJECT_JOB_ID}" \
"${CI_SERVER_URL}/api/v4/projects/${DOWNSTREAM_PROJECT_ID}/trigger/pipeline" )
echo ${DOWNSTREAM_RESULTS} | jq .
DOWNSTREAM_PIPELINE_ID=$( echo ${DOWNSTREAM_RESULTS} | jq -r .id )
echo "Monitoring Downstream pipeline ${DOWNSTREAM_PIPELINE_ID} status..."
DOWNSTREAM_STATUS='running'
COUNT=0
PIPELINE_API_URL="${CI_SERVER_URL}/api/v4/projects/${DOWNSTREAM_PROJECT_ID}/pipelines/${DOWNSTREAM_PIPELINE_ID}"
echo "Pipeline api endpoint => ${PIPELINE_API_URL}"
while [ ${DOWNSTREAM_STATUS} == "running" ]
do
if [ $COUNT -eq 0 ]
then
echo "Starting loop"
fi
if [ ${COUNT} -ge 350 ]
then
echo 'TIMEOUT!'
DOWNSTREAM_STATUS="TIMEOUT"
break
elif [ $(( ${COUNT} % 60 )) -eq 0 ]
then
echo "Downstream pipeline status => ${DOWNSTREAM_STATUS}"
echo "Count => ${COUNT}"
sleep 10
else
sleep 10
fi
DOWNSTREAM_CALL=$( curl --silent --header "PRIVATE-TOKEN: ${GITLAB_TOKEN}" ${PIPELINE_API_URL} )
if [ $COUNT -eq 0 ]
then
echo ${DOWNSTREAM_CALL} | jq .
fi
DOWNSTREAM_STATUS=$( echo ${DOWNSTREAM_CALL} | jq -r .status )
COUNT=$(( ${COUNT} + 1 ))
done
#pipeline status is running, failed, success, manual
echo "PIPELINE STATUS => ${DOWNSTREAM_STATUS}"
if [ ${DOWNSTREAM_STATUS} != "success" ]
then
exit 2
fi
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