Deployment(mapping=None, *, ignore_unknown_fields=False, **kwargs)Deployment contains a collection of YAML files (This collection is also known as package) that can to applied on an orchestration cluster (GKE cluster with TNA addons) or a workload cluster.
Attributes | |
|---|---|
| Name | Description |
name |
str
The name of the deployment. |
revision_id |
str
Output only. Immutable. The revision ID of the deployment. A new revision is committed whenever a change in deployment is applied. |
source_blueprint_revision |
str
Required. The blueprint revision from which this deployment was created. |
revision_create_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. The timestamp that the revision was created. |
state |
google.cloud.telcoautomation_v1.types.Deployment.State
Output only. State of the deployment (DRAFT, APPLIED, DELETING). |
display_name |
str
Optional. Human readable name of a Deployment. |
repository |
str
Output only. Name of the repository where the deployment package files are stored. |
files |
MutableSequence[google.cloud.telcoautomation_v1.types.File]
Optional. Files present in a deployment. When invoking UpdateDeployment API, only the modified files should be included in this. Files that are not included in the update of a deployment will not be changed. |
labels |
MutableMapping[str, str]
Optional. Labels are key-value attributes that can be set on a deployment resource by the user. |
create_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. Deployment creation time. |
update_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. The timestamp when the deployment was updated. |
source_provider |
str
Output only. Source provider is the author of a public blueprint, from which this deployment is created. |
workload_cluster |
str
Optional. Immutable. The WorkloadCluster on which to create the Deployment. |
deployment_level |
google.cloud.telcoautomation_v1.types.DeploymentLevel
Output only. Attributes to where the deployment can inflict changes. The value can only be [SINGLE_DEPLOYMENT, MULTI_DEPLOYMENT]. |
rollback_support |
bool
Output only. Indicates if the deployment can be rolled back, exported from public blueprint. |
Classes
LabelsEntry
LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)The abstract base class for a message.
| Parameters | |
|---|---|
| Name | Description |
kwargs |
dict
Keys and values corresponding to the fields of the message. |
mapping |
Union[dict,
A dictionary or message to be used to determine the values for this message. |
ignore_unknown_fields |
Optional(bool)
If True, do not raise errors for unknown fields. Only applied if |
State
State(value)State defines which state the current deployment is in.
Values:
STATE_UNSPECIFIED (0):
Unspecified state.
DRAFT (1):
A deployment starts in DRAFT state. All edits
are made in DRAFT state. A deployment opened for
editing after applying will be in draft state,
while its prevision revision will be its current
applied version.
APPLIED (2):
This state means that the contents (YAML
files containing kubernetes resources) of the
deployment have been applied to an Orchestration
or Workload Cluster. A revision is created when
a deployment is applied. This revision will
represent the latest view of what is applied on
the cluster until the deployment is modified and
applied again, which will create a new revision.
DELETING (3):
A deployment in DELETING state has been marked for deletion.
Its deletion status can be queried using
ComputeDeploymentStatus API. No updates are allowed to a
deployment in DELETING state.