65 lines
1.6 KiB
Python
65 lines
1.6 KiB
Python
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#!/usr/bin/python3
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import time
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import os
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import sys
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import gitlab
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CERBERO_PROJECT = 'gstreamer/cerbero'
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class Status:
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FAILED = 'failed'
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MANUAL = 'manual'
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CANCELED = 'canceled'
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SUCCESS = 'success'
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SKIPPED = 'skipped'
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CREATED = 'created'
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@classmethod
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def is_finished(cls, state):
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return state in [
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cls.FAILED,
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cls.MANUAL,
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cls.CANCELED,
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cls.SUCCESS,
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cls.SKIPPED,
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]
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def fprint(msg):
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print(msg, end="")
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sys.stdout.flush()
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if __name__ == "__main__":
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server = os.environ['CI_SERVER_URL']
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gl = gitlab.Gitlab(server,
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private_token=os.environ.get('GITLAB_API_TOKEN'),
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job_token=os.environ.get('CI_JOB_TOKEN'))
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cerbero = gl.projects.get(CERBERO_PROJECT)
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pipe = cerbero.trigger_pipeline(
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token=os.environ['CI_JOB_TOKEN'],
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ref=os.environ["GST_UPSTREAM_BRANCH"],
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variables={
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"CI_GSTREAMER_URL": os.environ["CI_PROJECT_URL"],
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"CI_GSTREAMER_REF_NAME": os.environ["CI_COMMIT_REF_NAME"],
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# This tells cerbero CI that this is a pipeline started via the
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# trigger API, which means it can use a deps cache instead of
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# building from scratch.
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"CI_GSTREAMER_TRIGGERED": "true",
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}
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)
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fprint(f'Cerbero pipeline running at {pipe.web_url} ')
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while True:
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time.sleep(15)
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pipe.refresh()
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if Status.is_finished(pipe.status):
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fprint(f": {pipe.status}\n")
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sys.exit(0 if pipe.status == Status.SUCCESS else 1)
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else:
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fprint(".")
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