Update Repository

artifact_registry.update_repository
ActionGoogle Cloudconnection required

Calls artifactregistry v1 PATCH /v1/projects/{projectsId}/locations/{locationsId}/repositories/{repositoriesId}.

Updates a repository.

Connection

Required
Yes — the node will not save without one
Auth type
OAuth 2.0
Providers
Google Artifact Registry
Secret shape
{"client_id", "client_secret", "refresh_token"}
Config it needs
project_id, location
Resolved by
config.connection_id, else node.connection_id

Configuration

3 fields, 2 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

FieldTypeRequiredDefaultConstraintsExample
location
Location or region; taken from the connection when unset.
stringNo———
repository
Repository name or id.
stringYes———
body
The Repository resource, as the API defines it.
objectYes———

Output

One shape.

result

Extra keys beyond the ones listed can appear.

FieldTypeExample
cleanupPolicies
object—
cleanupPolicyDryRun
boolean—
createTime
string—
description
string—
disallowUnspecifiedMode
boolean—
dockerConfig
object—
format
string—
kmsKeyName
string—
labels
object—
mavenConfig
object—
mode
string—
name
string—
platformLogsConfig
object—
registryUri
string—
remoteRepositoryConfig
object—
satisfiesPzi
boolean—
satisfiesPzs
boolean—
sizeBytes
string—
updateTime
string—
virtualRepositoryConfig
object—
vulnerabilityScanningConfig
object—
{
  "cleanupPolicies": {},
  "cleanupPolicyDryRun": false,
  "createTime": "",
  "description": "",
  "disallowUnspecifiedMode": false,
  "dockerConfig": {},
  "format": "",
  "kmsKeyName": "",
  "labels": {},
  "mavenConfig": {},
  "mode": "",
  "name": "",
  "platformLogsConfig": {},
  "registryUri": "",
  "remoteRepositoryConfig": {},
  "satisfiesPzi": false,
  "satisfiesPzs": false,
  "sizeBytes": "",
  "updateTime": "",
  "virtualRepositoryConfig": {},
  "vulnerabilityScanningConfig": {}
}

See Update Repository run in a workflow.

In a technical demo we add the Google Artifact Registry connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.