Fetch Inventory

vm_migration.fetch_inventory
ActionGoogle Cloudconnection required

Calls VM Migration GET /v1/projects/{projectsId}/locations/{locationsId}/sources/{sourcesId}:fetchInventory.

List remote source's inventory of VMs. The remote source is the onprem vCenter (remote in the sense it's not in Compute Engine).

Connection

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

Configuration

5 fields, 1 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———
source
Id of the source to act on, from vm_migration.list_sources — not its name.
stringYes———
page_size
The maximum number of VMs to return. The service may return fewer than this value. For AWS source: If unspecif
numberNo50≥ 1—
page_token
A page token, received from a previous `FetchInventory` call. Provide this to retrieve the subsequent page. Wh
stringNo———

Example configuration

Every value below is the contract’s own example or default — nothing invented.

{
  "page_size": 50
}

Output

One shape.

result

FieldTypeExample
ok
boolean—
vmwareVms
object—
azureVms
object—
updateTime
string—
nextPageToken
string—
awsVms
object—
{
  "awsVms": {},
  "azureVms": {},
  "nextPageToken": "",
  "ok": false,
  "updateTime": "",
  "vmwareVms": {}
}

See Fetch Inventory run in a workflow.

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