AzureClustersAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.gke_multicloud_v1.services.azure_clusters.transports.base.AzureClustersTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
The AzureClusters API provides a single centrally managed service to create and manage Anthos clusters that run on Azure infrastructure.
Properties
transport
Returns the transport used by the client instance.
Type | Description |
AzureClustersTransport | The transport used by the client instance. |
Methods
AzureClustersAsyncClient
AzureClustersAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.gke_multicloud_v1.services.azure_clusters.transports.base.AzureClustersTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the azure clusters client.
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str,
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
azure_client_path
azure_client_path(project: str, location: str, azure_client: str)
Returns a fully-qualified azure_client string.
azure_cluster_path
azure_cluster_path(project: str, location: str, azure_cluster: str)
Returns a fully-qualified azure_cluster string.
azure_node_pool_path
azure_node_pool_path(
project: str, location: str, azure_cluster: str, azure_node_pool: str
)
Returns a fully-qualified azure_node_pool string.
azure_server_config_path
azure_server_config_path(project: str, location: str)
Returns a fully-qualified azure_server_config string.
cancel_operation
cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Starts asynchronous cancellation on a long-running operation.
The server makes a best effort to cancel the operation, but success
is not guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
common_billing_account_path
common_billing_account_path(billing_account: str)
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Returns a fully-qualified project string.
create_azure_client
create_azure_client(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.CreateAzureClientRequest, dict]] = None, *, parent: Optional[str] = None, azure_client: Optional[google.cloud.gke_multicloud_v1.types.azure_resources.AzureClient] = None, azure_client_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Creates a new xref_AzureClient resource on a given Google Cloud project and region.
AzureClient
resources hold client authentication information
needed by the Anthos Multicloud API to manage Azure resources on
your Azure subscription on your behalf.
If successful, the response contains a newly created
Operation][google.longrunning.Operation]
resource that can be
described to track the status of the operation.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_create_azure_client():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
azure_client = gke_multicloud_v1.AzureClient()
azure_client.tenant_id = "tenant_id_value"
azure_client.application_id = "application_id_value"
request = gke_multicloud_v1.CreateAzureClientRequest(
parent="parent_value",
azure_client=azure_client,
azure_client_id="azure_client_id_value",
)
# Make the request
operation = client.create_azure_client(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.CreateAzureClientRequest, dict]]
The request object. Request message for |
parent |
Required. The parent location where this AzureClient resource will be created. Location names are formatted as |
azure_client |
AzureClient
Required. The specification of the AzureClient to create. This corresponds to the |
azure_client_id |
Required. A client provided ID the resource. Must be unique within the parent resource. The provided ID will be part of the AzureClient resource name formatted as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be AzureClient AzureClient resources hold client authentication information needed by the Anthos Multi-Cloud API to manage Azure resources on your Azure subscription. When an AzureCluster is created, an AzureClient resource needs to be provided and all operations on Azure resources associated to that cluster will authenticate to Azure services using the given client. AzureClient resources are immutable and cannot be modified upon creation. Each AzureClient resource is bound to a single Azure Active Directory Application and tenant. |
create_azure_cluster
create_azure_cluster(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.CreateAzureClusterRequest, dict]] = None, *, parent: Optional[str] = None, azure_cluster: Optional[google.cloud.gke_multicloud_v1.types.azure_resources.AzureCluster] = None, azure_cluster_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Creates a new xref_AzureCluster resource on a given GCP project and region.
If successful, the response contains a newly created
Operation][google.longrunning.Operation]
resource that can be
described to track the status of the operation.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_create_azure_cluster():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
azure_cluster = gke_multicloud_v1.AzureCluster()
azure_cluster.azure_region = "azure_region_value"
azure_cluster.resource_group_id = "resource_group_id_value"
azure_cluster.azure_client = "azure_client_value"
azure_cluster.networking.virtual_network_id = "virtual_network_id_value"
azure_cluster.networking.pod_address_cidr_blocks = ['pod_address_cidr_blocks_value1', 'pod_address_cidr_blocks_value2']
azure_cluster.networking.service_address_cidr_blocks = ['service_address_cidr_blocks_value1', 'service_address_cidr_blocks_value2']
azure_cluster.control_plane.version = "version_value"
azure_cluster.control_plane.ssh_config.authorized_key = "authorized_key_value"
azure_cluster.authorization.admin_users.username = "username_value"
azure_cluster.fleet.project = "project_value"
request = gke_multicloud_v1.CreateAzureClusterRequest(
parent="parent_value",
azure_cluster=azure_cluster,
azure_cluster_id="azure_cluster_id_value",
)
# Make the request
operation = client.create_azure_cluster(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.CreateAzureClusterRequest, dict]]
The request object. Request message for |
parent |
Required. The parent location where this AzureCluster resource will be created. Location names are formatted as |
azure_cluster |
AzureCluster
Required. The specification of the AzureCluster to create. This corresponds to the |
azure_cluster_id |
Required. A client provided ID the resource. Must be unique within the parent resource. The provided ID will be part of the AzureCluster resource name formatted as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be AzureCluster An Anthos cluster running on Azure. |
create_azure_node_pool
create_azure_node_pool(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.CreateAzureNodePoolRequest, dict]] = None, *, parent: Optional[str] = None, azure_node_pool: Optional[google.cloud.gke_multicloud_v1.types.azure_resources.AzureNodePool] = None, azure_node_pool_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Creates a new xref_AzureNodePool, attached to a given xref_AzureCluster.
If successful, the response contains a newly created
Operation][google.longrunning.Operation]
resource that can be
described to track the status of the operation.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_create_azure_node_pool():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
azure_node_pool = gke_multicloud_v1.AzureNodePool()
azure_node_pool.version = "version_value"
azure_node_pool.config.ssh_config.authorized_key = "authorized_key_value"
azure_node_pool.subnet_id = "subnet_id_value"
azure_node_pool.autoscaling.min_node_count = 1489
azure_node_pool.autoscaling.max_node_count = 1491
azure_node_pool.max_pods_constraint.max_pods_per_node = 1798
request = gke_multicloud_v1.CreateAzureNodePoolRequest(
parent="parent_value",
azure_node_pool=azure_node_pool,
azure_node_pool_id="azure_node_pool_id_value",
)
# Make the request
operation = client.create_azure_node_pool(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.CreateAzureNodePoolRequest, dict]]
The request object. Response message for |
parent |
Required. The AzureCluster resource where this node pool will be created. Location names are formatted as |
azure_node_pool |
AzureNodePool
Required. The specification of the AzureNodePool to create. This corresponds to the |
azure_node_pool_id |
Required. A client provided ID the resource. Must be unique within the parent resource. The provided ID will be part of the AzureNodePool resource name formatted as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be AzureNodePool An Anthos node pool running on Azure. |
delete_azure_client
delete_azure_client(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.DeleteAzureClientRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Deletes a specific xref_AzureClient resource.
If the client is used by one or more clusters, deletion will
fail and a FAILED_PRECONDITION
error will be returned.
If successful, the response contains a newly created
Operation][google.longrunning.Operation]
resource that can be
described to track the status of the operation.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_delete_azure_client():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.DeleteAzureClientRequest(
name="name_value",
)
# Make the request
operation = client.delete_azure_client(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.DeleteAzureClientRequest, dict]]
The request object. Request message for |
name |
Required. The resource name the AzureClient to delete. AzureClient names are formatted as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delete_azure_cluster
delete_azure_cluster(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.DeleteAzureClusterRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Deletes a specific xref_AzureCluster resource.
Fails if the cluster has one or more associated xref_AzureNodePool resources.
If successful, the response contains a newly created
Operation][google.longrunning.Operation]
resource that can be
described to track the status of the operation.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_delete_azure_cluster():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.DeleteAzureClusterRequest(
name="name_value",
)
# Make the request
operation = client.delete_azure_cluster(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.DeleteAzureClusterRequest, dict]]
The request object. Request message for |
name |
Required. The resource name the AzureCluster to delete. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delete_azure_node_pool
delete_azure_node_pool(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.DeleteAzureNodePoolRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Deletes a specific xref_AzureNodePool resource.
If successful, the response contains a newly created
Operation][google.longrunning.Operation]
resource that can be
described to track the status of the operation.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_delete_azure_node_pool():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.DeleteAzureNodePoolRequest(
name="name_value",
)
# Make the request
operation = client.delete_azure_node_pool(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.DeleteAzureNodePoolRequest, dict]]
The request object. Delete message for |
name |
Required. The resource name the AzureNodePool to delete. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delete_operation
delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Deletes a long-running operation.
This method indicates that the client is no longer interested
in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
AzureClustersAsyncClient | The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
AzureClustersAsyncClient | The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
AzureClustersAsyncClient | The constructed client. |
generate_azure_access_token
generate_azure_access_token(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.GenerateAzureAccessTokenRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Generates a short-lived access token to authenticate to a given xref_AzureCluster resource.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_generate_azure_access_token():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.GenerateAzureAccessTokenRequest(
azure_cluster="azure_cluster_value",
)
# Make the request
response = await client.generate_azure_access_token(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.GenerateAzureAccessTokenRequest, dict]]
The request object. Request message for |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.gke_multicloud_v1.types.GenerateAzureAccessTokenResponse | Response message for AzureClusters.GenerateAzureAccessToken method. |
get_azure_client
get_azure_client(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.GetAzureClientRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Describes a specific xref_AzureClient resource.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_get_azure_client():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.GetAzureClientRequest(
name="name_value",
)
# Make the request
response = await client.get_azure_client(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.GetAzureClientRequest, dict]]
The request object. Request message for |
name |
Required. The name of the AzureClient resource to describe. AzureClient names are formatted as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.gke_multicloud_v1.types.AzureClient | AzureClient resources hold client authentication information needed by the Anthos Multi-Cloud API to manage Azure resources on your Azure subscription. When an AzureCluster is created, an AzureClient resource needs to be provided and all operations on Azure resources associated to that cluster will authenticate to Azure services using the given client. AzureClient resources are immutable and cannot be modified upon creation. Each AzureClient resource is bound to a single Azure Active Directory Application and tenant. |
get_azure_cluster
get_azure_cluster(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.GetAzureClusterRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Describes a specific xref_AzureCluster resource.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_get_azure_cluster():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.GetAzureClusterRequest(
name="name_value",
)
# Make the request
response = await client.get_azure_cluster(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.GetAzureClusterRequest, dict]]
The request object. Request message for |
name |
Required. The name of the AzureCluster resource to describe. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.gke_multicloud_v1.types.AzureCluster | An Anthos cluster running on Azure. |
get_azure_node_pool
get_azure_node_pool(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.GetAzureNodePoolRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Describes a specific xref_AzureNodePool resource.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_get_azure_node_pool():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.GetAzureNodePoolRequest(
name="name_value",
)
# Make the request
response = await client.get_azure_node_pool(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.GetAzureNodePoolRequest, dict]]
The request object. Request message for |
name |
Required. The name of the AzureNodePool resource to describe. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.gke_multicloud_v1.types.AzureNodePool | An Anthos node pool running on Azure. |
get_azure_server_config
get_azure_server_config(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.GetAzureServerConfigRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Returns information, such as supported Azure regions and Kubernetes versions, on a given Google Cloud location.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_get_azure_server_config():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.GetAzureServerConfigRequest(
name="name_value",
)
# Make the request
response = await client.get_azure_server_config(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.GetAzureServerConfigRequest, dict]]
The request object. GetAzureServerConfigRequest gets the server config of GKE cluster on Azure. |
name |
Required. The name of the AzureServerConfig resource to describe. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.gke_multicloud_v1.types.AzureServerConfig | AzureServerConfig contains information about a Google Cloud location, such as supported Azure regions and Kubernetes versions. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)
Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is not "true", the
client cert source is None.
(2) if client_options.client_cert_source
is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if client_options.api_endpoint
if provided, use the provided one.
(2) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is "always", use the
default mTLS endpoint; if the environment variable is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_operation
get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Gets the latest state of a long-running operation.
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
| An Operation object. |
get_transport_class
get_transport_class()
Returns an appropriate transport class.
list_azure_clients
list_azure_clients(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.ListAzureClientsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Lists all xref_AzureClient resources on a given Google Cloud project and region.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_list_azure_clients():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.ListAzureClientsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_azure_clients(request=request)
# Handle the response
async for response in page_result:
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.ListAzureClientsRequest, dict]]
The request object. Request message for |
parent |
Required. The parent location which owns this collection of AzureClient resources. Location names are formatted as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.gke_multicloud_v1.services.azure_clusters.pagers.ListAzureClientsAsyncPager | Response message for AzureClusters.ListAzureClients method. Iterating over this object will yield results and resolve additional pages automatically. |
list_azure_clusters
list_azure_clusters(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.ListAzureClustersRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Lists all xref_AzureCluster resources on a given Google Cloud project and region.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_list_azure_clusters():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.ListAzureClustersRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_azure_clusters(request=request)
# Handle the response
async for response in page_result:
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.ListAzureClustersRequest, dict]]
The request object. Request message for |
parent |
Required. The parent location which owns this collection of AzureCluster resources. Location names are formatted as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.gke_multicloud_v1.services.azure_clusters.pagers.ListAzureClustersAsyncPager | Response message for AzureClusters.ListAzureClusters method. Iterating over this object will yield results and resolve additional pages automatically. |
list_azure_node_pools
list_azure_node_pools(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.ListAzureNodePoolsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Lists all xref_AzureNodePool resources on a given xref_AzureCluster.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_list_azure_node_pools():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
request = gke_multicloud_v1.ListAzureNodePoolsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_azure_node_pools(request=request)
# Handle the response
async for response in page_result:
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.ListAzureNodePoolsRequest, dict]]
The request object. Request message for |
parent |
Required. The parent |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.gke_multicloud_v1.services.azure_clusters.pagers.ListAzureNodePoolsAsyncPager | Response message for AzureClusters.ListAzureNodePools method. Iterating over this object will yield results and resolve additional pages automatically. |
list_operations
list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Lists operations that match the specified filter in the request.
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
| Response message for ListOperations method. |
parse_azure_client_path
parse_azure_client_path(path: str)
Parses a azure_client path into its component segments.
parse_azure_cluster_path
parse_azure_cluster_path(path: str)
Parses a azure_cluster path into its component segments.
parse_azure_node_pool_path
parse_azure_node_pool_path(path: str)
Parses a azure_node_pool path into its component segments.
parse_azure_server_config_path
parse_azure_server_config_path(path: str)
Parses a azure_server_config path into its component segments.
parse_common_billing_account_path
parse_common_billing_account_path(path: str)
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str)
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str)
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str)
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str)
Parse a project path into its component segments.
update_azure_cluster
update_azure_cluster(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.UpdateAzureClusterRequest, dict]] = None, *, azure_cluster: Optional[google.cloud.gke_multicloud_v1.types.azure_resources.AzureCluster] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Updates an xref_AzureCluster.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_update_azure_cluster():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
azure_cluster = gke_multicloud_v1.AzureCluster()
azure_cluster.azure_region = "azure_region_value"
azure_cluster.resource_group_id = "resource_group_id_value"
azure_cluster.azure_client = "azure_client_value"
azure_cluster.networking.virtual_network_id = "virtual_network_id_value"
azure_cluster.networking.pod_address_cidr_blocks = ['pod_address_cidr_blocks_value1', 'pod_address_cidr_blocks_value2']
azure_cluster.networking.service_address_cidr_blocks = ['service_address_cidr_blocks_value1', 'service_address_cidr_blocks_value2']
azure_cluster.control_plane.version = "version_value"
azure_cluster.control_plane.ssh_config.authorized_key = "authorized_key_value"
azure_cluster.authorization.admin_users.username = "username_value"
azure_cluster.fleet.project = "project_value"
request = gke_multicloud_v1.UpdateAzureClusterRequest(
azure_cluster=azure_cluster,
)
# Make the request
operation = client.update_azure_cluster(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.UpdateAzureClusterRequest, dict]]
The request object. Request message for |
azure_cluster |
AzureCluster
Required. The AzureCluster resource to update. This corresponds to the |
update_mask |
Required. Mask of fields to update. At least one path must be supplied in this field. The elements of the repeated paths field can only include these fields from AzureCluster: - |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be AzureCluster An Anthos cluster running on Azure. |
update_azure_node_pool
update_azure_node_pool(request: Optional[Union[google.cloud.gke_multicloud_v1.types.azure_service.UpdateAzureNodePoolRequest, dict]] = None, *, azure_node_pool: Optional[google.cloud.gke_multicloud_v1.types.azure_resources.AzureNodePool] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Updates an xref_AzureNodePool.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1
async def sample_update_azure_node_pool():
# Create a client
client = gke_multicloud_v1.AzureClustersAsyncClient()
# Initialize request argument(s)
azure_node_pool = gke_multicloud_v1.AzureNodePool()
azure_node_pool.version = "version_value"
azure_node_pool.config.ssh_config.authorized_key = "authorized_key_value"
azure_node_pool.subnet_id = "subnet_id_value"
azure_node_pool.autoscaling.min_node_count = 1489
azure_node_pool.autoscaling.max_node_count = 1491
azure_node_pool.max_pods_constraint.max_pods_per_node = 1798
request = gke_multicloud_v1.UpdateAzureNodePoolRequest(
azure_node_pool=azure_node_pool,
)
# Make the request
operation = client.update_azure_node_pool(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.gke_multicloud_v1.types.UpdateAzureNodePoolRequest, dict]]
The request object. Request message for |
azure_node_pool |
AzureNodePool
Required. The AzureNodePool resource to update. This corresponds to the |
update_mask |
Required. Mask of fields to update. At least one path must be supplied in this field. The elements of the repeated paths field can only include these fields from AzureNodePool: *. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be AzureNodePool An Anthos node pool running on Azure. |