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.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
grafana/scripts/drone/rgm.star

102 lines
2.5 KiB

"""
rgm uses 'github.com/grafana/grafana-build' to build Grafana on the following events:
* A merge to main
* A tag that begins with a 'v'
"""
load(
"scripts/drone/utils/utils.star",
"pipeline",
)
load(
"scripts/drone/vault.star",
"from_secret",
"rgm_destination",
"rgm_gcp_key_base64",
"rgm_github_token",
)
rgm_env_secrets = {
"GCP_KEY_BASE64": from_secret(rgm_gcp_key_base64),
"DESTINATION": from_secret(rgm_destination),
"GITHUB_TOKEN": from_secret(rgm_github_token),
}
def rgm_build(script = "drone_publish_main.sh"):
clone_step = {
"name": "clone-rgm",
"image": "alpine/git",
"commands": [
"git clone https://github.com/grafana/grafana-build.git rgm",
],
"failure": "ignore",
}
rgm_build_step = {
"name": "rgm-build",
"image": "golang:1.20.3-alpine",
"commands": [
# the docker program is a requirement for running dagger programs
"apk update && apk add docker",
"export GRAFANA_DIR=$$(pwd)",
"cd rgm && ./scripts/{}".format(script),
],
"environment": rgm_env_secrets,
# The docker socket is a requirement for running dagger programs
# In the future we should find a way to use dagger without mounting the docker socket.
"volumes": [{"name": "docker", "path": "/var/run/docker.sock"}],
"failure": "ignore",
}
return [
clone_step,
rgm_build_step,
]
def rgm_main():
trigger = {
"event": [
"push",
],
"branch": "main",
}
return pipeline(
name = "[RGM] Build and upload a grafana.tar.gz to a prerelease bucket when merging to main",
edition = "all",
trigger = trigger,
steps = rgm_build(),
depends_on = ["main-test-backend", "main-test-frontend"],
)
def rgm_tag():
trigger = {
"event": {
"exclude": [
"promote",
],
},
"ref": {
"include": [
"refs/tags/v*",
],
"exclude": [
"refs/tags/*-cloud*",
],
},
}
return pipeline(
name = "[RGM] Build and upload a grafana.tar.gz to a prerelease bucket when tagging",
edition = "all",
trigger = trigger,
steps = rgm_build(script = "drone_publish_tag.sh"),
depends_on = [],
)
def rgm():
return [
rgm_main(),
rgm_tag(),
]