List
List Associated Resources for a Droplet
gpu_droplets.destroy_with_associated_resources.list(intdroplet_id) -> floating_ipslistreserved_ipslistsnapshotslistvolume_snapshotslistvolumeslistDestroyWithAssociatedResourceListResponse
get/v2/droplets/{droplet_id}/destroy_with_associated_resources
To list the associated billable resources that can be destroyed along with a
Droplet, send a GET request to the
/v2/droplets/$DROPLET_ID/destroy_with_associated_resources endpoint.
This endpoint will only return resources that you are authorized to see. For
example, to see associated Reserved IPs, include the reserved_ip:read scope.
The response will be a JSON object containing snapshots, volumes, and
volume_snapshots keys. Each will be set to an array of objects containing
information about the associated resources.
Parameters
droplet_idint
minimum1
Returns
DestroyWithAssociatedResourceListResponseclass
from do_gradientai import GradientAI
client = GradientAI()
destroy_with_associated_resources = client.gpu_droplets.destroy_with_associated_resources.list(
1,
)
print(destroy_with_associated_resources.floating_ips)200 Example
{
"floating_ips": [
{
"id": "61486916",
"cost": "0.05",
"name": "ubuntu-s-1vcpu-1gb-nyc1-01-1585758823330"
}
],
"reserved_ips": [
{
"id": "61486916",
"cost": "0.05",
"name": "ubuntu-s-1vcpu-1gb-nyc1-01-1585758823330"
}
],
"snapshots": [
{
"id": "61486916",
"cost": "0.05",
"name": "ubuntu-s-1vcpu-1gb-nyc1-01-1585758823330"
}
],
"volume_snapshots": [
{
"id": "61486916",
"cost": "0.05",
"name": "ubuntu-s-1vcpu-1gb-nyc1-01-1585758823330"
}
],
"volumes": [
{
"id": "61486916",
"cost": "0.05",
"name": "ubuntu-s-1vcpu-1gb-nyc1-01-1585758823330"
}
]
}