Releases: verda-cloud/sdk-python
Releases · verda-cloud/sdk-python
v1.23.0
v1.22.0
v1.21.0
v1.20.0
Added
- Add
on_spot_discontinueparameter for instance OS volumes. Previously the policy was always'keep_detached', now it can be set to'move_to_trash'or'delete_permanently':instance = verda_client.instances.create( hostname='test-instance', location=Locations.FIN_03, instance_type='CPU.4V.16G', description='test cpu instance', image='ubuntu-22.04', is_spot=True, ssh_key_ids=[ssh_key.id], os_volume=OSVolume( name='test-os-volume-spot', size=56, on_spot_discontinue='delete_permanently', ), )
- Add
delete_permanentlyparameter for instance delete action. When set,volume_idswill be deleted in one go, skipping trash:verda.instances.action( instance.id, 'delete', volume_ids=[instance.os_volume_id], delete_permanently=True, )
v1.19.0
v1.18.0
Added
- Clusters support, see https://github.com/verda-cloud/sdk-python/blob/master/examples/clusters_example.py
v1.17.4
Added
- Add
datacrunch->verdamigration guide
v1.17.3
Fixed
datacrunch: fix imports fromdatacrunch.instances.instancesand other similar modules
Changed
verda: removed repeating submodules like.instances.instances.verda: renamed.InferenceClient.inference_clientmodule to.inference_client.
Was:
from datacrunch.instances.instances import InstancesService
from datacrunch.InferenceClient.inference_client import InferenceClientNow:
from verda.instances import InstancesService
from verda.inference_client import InferenceClient