Get Recommendation

recommender.get_recommendation
ActionGoogle Cloudconnection required

Calls Recommender GET /v1/projects/{projectsId}/locations/{locationsId}/recommenders/{recommendersId}/recommendations/{recommendationsId}.

Gets the requested recommendation. Requires the recommender.*.get IAM permission for the specified recommender.

Connection

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

Configuration

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

FieldTypeRequiredDefaultConstraintsExample
project_id
GCP project id (overrides connection).
stringNo———
location
Location / region (overrides connection).
stringNo———
recommender
Recommender id.
stringYes———
recommendation
Recommendation id.
stringYes———

Output

One shape.

result

FieldTypeExample
ok
boolean—
primaryImpact
object—
description
string—
associatedInsights
array—
priority
string—
additionalImpact
array—
targetResources
array—
{
  "additionalImpact": [],
  "associatedInsights": [],
  "description": "",
  "ok": false,
  "primaryImpact": {},
  "priority": "",
  "targetResources": []
}

See Get Recommendation run in a workflow.

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