The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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grafana/scripts/drone/utils/utils.star

81 lines
2.6 KiB

load(
'scripts/drone/steps/lib.star',
'download_grabpl_step',
'slack_step',
)
load('scripts/drone/vault.star', 'from_secret', 'github_token', 'pull_secret', 'drone_token')
failure_template = 'Build {{build.number}} failed for commit: <https://github.com/{{repo.owner}}/{{repo.name}}/commit/{{build.commit}}|{{ truncate build.commit 8 }}>: {{build.link}}\nBranch: <https://github.com/{{ repo.owner }}/{{ repo.name }}/commits/{{ build.branch }}|{{ build.branch }}>\nAuthor: {{build.author}}'
drone_change_template = '`.drone.yml` and `starlark` files have been changed on the OSS repo, by: {{build.author}}. \nBranch: <https://github.com/{{ repo.owner }}/{{ repo.name }}/commits/{{ build.branch }}|{{ build.branch }}>\nCommit hash: <https://github.com/{{repo.owner}}/{{repo.name}}/commit/{{build.commit}}|{{ truncate build.commit 8 }}>'
def pipeline(
name, edition, trigger, steps, services=[], platform='linux', depends_on=[], volumes=[],
):
if platform != 'windows':
platform_conf = {
'platform': {
'os': 'linux',
'arch': 'amd64'
},
# A shared cache is used on the host
# To avoid issues with parallel builds, we run this repo on single build agents
'node': {
'type': 'no-parallel'
}
}
else:
platform_conf = {
'platform': {
'os': 'windows',
'arch': 'amd64',
'version': '1809',
}
}
pipeline = {
'kind': 'pipeline',
'type': 'docker',
'name': name,
'trigger': trigger,
'services': services,
'steps': steps,
'volumes': [{
'name': 'docker',
'host': {
'path': '/var/run/docker.sock',
},
}],
'depends_on': depends_on,
}
pipeline['volumes'].extend(volumes)
pipeline.update(platform_conf)
if edition in ('enterprise', 'enterprise2'):
pipeline['image_pull_secrets'] = [pull_secret]
# We have a custom clone step for enterprise
pipeline['clone'] = {
'disable': True,
}
return pipeline
def notify_pipeline(name, slack_channel, trigger, depends_on=[], template=None, secret=None):
trigger = dict(trigger)
return {
'kind': 'pipeline',
'type': 'docker',
'platform': {
'os': 'linux',
'arch': 'amd64',
},
'name': name,
'trigger': trigger,
'steps': [
slack_step(slack_channel, template, secret),
],
'depends_on': depends_on,
}