As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

DeploymentResourcePoolService

class google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient(*, credentials: ~typing.Optional[~google.auth.credentials.Credentials] = None, transport: ~typing.Optional[~typing.Union[str, ~google.cloud.aiplatform_v1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport, ~typing.Callable[[...], ~google.cloud.aiplatform_v1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport]]] = 'grpc_asyncio', client_options: ~typing.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>)[source]

A service that manages the DeploymentResourcePool resource.

Instantiates the deployment resource pool service async client.

Parameters:

  • 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 (Optional[Union[str,DeploymentResourcePoolServiceTransport,Callable[..., DeploymentResourcePoolServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the DeploymentResourcePoolServiceTransport constructor. If set to None, a transport is chosen automatically.

  • client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –

    Custom options for the client.

    1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

    2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

    3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises:

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

property api_endpoint

Return the API endpoint used by the client instance.

Returns:

The API endpoint used by the client instance.

Return type:

str

async cancel_operation(request: Optional[CancelOperationRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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.

Parameters:

  • request (CancelOperationRequest) – The request object. Request message for CancelOperation method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

None

static common_billing_account_path(billing_account: str) → str

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str

Returns a fully-qualified organization string.

static common_project_path(project: str) → str

Returns a fully-qualified project string.

async create_deployment_resource_pool(request: Optional[Union[CreateDeploymentResourcePoolRequest, dict]] = None, *, parent: Optional[str] = None, deployment_resource_pool: Optional[DeploymentResourcePool] = None, deployment_resource_pool_id: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]

Create a DeploymentResourcePool.

# 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 aiplatform_v1

async def sample_create_deployment_resource_pool():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient()

    # Initialize request argument(s)
    deployment_resource_pool = aiplatform_v1.DeploymentResourcePool()
    deployment_resource_pool.dedicated_resources.min_replica_count = 1803

    request = aiplatform_v1.CreateDeploymentResourcePoolRequest(
        parent="parent_value",
        deployment_resource_pool=deployment_resource_pool,
        deployment_resource_pool_id="deployment_resource_pool_id_value",
    )

    # Make the request
    operation = client.create_deployment_resource_pool(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters:

  • request (Optional[Union[google.cloud.aiplatform_v1.types.CreateDeploymentResourcePoolRequest, dict]]) – The request object. Request message for CreateDeploymentResourcePool method.

  • parent (str) –

    Required. The parent location resource where this DeploymentResourcePool will be created. Format: projects/{project}/locations/{location}

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • deployment_resource_pool (google.cloud.aiplatform_v1.types.DeploymentResourcePool) –

    Required. The DeploymentResourcePool to create.

    This corresponds to the deployment_resource_pool field on the request instance; if request is provided, this should not be set.

  • deployment_resource_pool_id (str) –

    Required. The ID to use for the DeploymentResourcePool, which will become the final component of the DeploymentResourcePool’s resource name.

    The maximum length is 63 characters, and valid characters are /^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/.

    This corresponds to the deployment_resource_pool_id field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1.types.DeploymentResourcePool A description of resources that can be shared by multiple DeployedModels,

whose underlying specification consists of a DedicatedResources.

Return type:

google.api_core.operation_async.AsyncOperation

async delete_deployment_resource_pool(request: Optional[Union[DeleteDeploymentResourcePoolRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]

Delete a DeploymentResourcePool.

# 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 aiplatform_v1

async def sample_delete_deployment_resource_pool():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1.DeleteDeploymentResourcePoolRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_deployment_resource_pool(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters:

  • request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteDeploymentResourcePoolRequest, dict]]) – The request object. Request message for DeleteDeploymentResourcePool method.

  • name (str) –

    Required. The name of the DeploymentResourcePool to delete. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

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);

}

Return type:

google.api_core.operation_async.AsyncOperation

async delete_operation(request: Optional[DeleteOperationRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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.

Parameters:

  • request (DeleteOperationRequest) – The request object. Request message for DeleteOperation method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

None

static deployment_resource_pool_path(project: str, location: str, deployment_resource_pool: str) → str

Returns a fully-qualified deployment_resource_pool string.

static endpoint_path(project: str, location: str, endpoint: str) → str

Returns a fully-qualified endpoint string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters:

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns:

The constructed client.

Return type:

DeploymentResourcePoolServiceAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters:

  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns:

The constructed client.

Return type:

DeploymentResourcePoolServiceAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters:

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns:

The constructed client.

Return type:

DeploymentResourcePoolServiceAsyncClient

async get_deployment_resource_pool(request: Optional[Union[GetDeploymentResourcePoolRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → DeploymentResourcePool[source]

Get a DeploymentResourcePool.

# 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 aiplatform_v1

async def sample_get_deployment_resource_pool():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1.GetDeploymentResourcePoolRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_deployment_resource_pool(request=request)

    # Handle the response
    print(response)
Parameters:

  • request (Optional[Union[google.cloud.aiplatform_v1.types.GetDeploymentResourcePoolRequest, dict]]) – The request object. Request message for GetDeploymentResourcePool method.

  • name (str) –

    Required. The name of the DeploymentResourcePool to retrieve. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.

Return type:

google.cloud.aiplatform_v1.types.DeploymentResourcePool

async get_iam_policy(request: Optional[GetIamPolicyRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Policy[source]

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Parameters:

  • request (GetIamPolicyRequest) – The request object. Request message for GetIamPolicy method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type:

Policy

async get_location(request: Optional[GetLocationRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Location[source]

Gets information about a location.

Parameters:

  • request (GetLocationRequest) – The request object. Request message for GetLocation method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

Location object.

Return type:

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[ClientOptions] = None)[source]

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.

Parameters:

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns:

returns the API endpoint and the

client cert source to use.

Return type:

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises:

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_operation(request: Optional[GetOperationRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]

Gets the latest state of a long-running operation.

Parameters:

  • request (GetOperationRequest) – The request object. Request message for GetOperation method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

An Operation object.

Return type:

Operation

classmethod get_transport_class(label: Optional[str] = None) → Type[DeploymentResourcePoolServiceTransport]

Returns an appropriate transport class.

Parameters:

label – The name of the desired transport. If none is provided, then the first transport in the registry is used.

Returns:

The transport class to use.

async list_deployment_resource_pools(request: Optional[Union[ListDeploymentResourcePoolsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListDeploymentResourcePoolsAsyncPager[source]

List DeploymentResourcePools in a 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 aiplatform_v1

async def sample_list_deployment_resource_pools():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1.ListDeploymentResourcePoolsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_deployment_resource_pools(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters:

  • request (Optional[Union[google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsRequest, dict]]) – The request object. Request message for ListDeploymentResourcePools method.

  • parent (str) –

    Required. The parent Location which owns this collection of DeploymentResourcePools. Format: projects/{project}/locations/{location}

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

Response message for ListDeploymentResourcePools method. Iterating over this object will yield results and resolve additional pages automatically.

Return type:

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsAsyncPager

async list_locations(request: Optional[ListLocationsRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListLocationsResponse[source]

Lists information about the supported locations for this service.

Parameters:

  • request (ListLocationsRequest) – The request object. Request message for ListLocations method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

Response message for ListLocations method.

Return type:

ListLocationsResponse

async list_operations(request: Optional[ListOperationsRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters:

  • request (ListOperationsRequest) – The request object. Request message for ListOperations method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

Response message for ListOperations method.

Return type:

ListOperationsResponse

static model_path(project: str, location: str, model: str) → str

Returns a fully-qualified model string.

static parse_common_billing_account_path(path: str) → Dict[str, str]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]

Parse a project path into its component segments.

static parse_deployment_resource_pool_path(path: str) → Dict[str, str]

Parses a deployment_resource_pool path into its component segments.

static parse_endpoint_path(path: str) → Dict[str, str]

Parses a endpoint path into its component segments.

static parse_model_path(path: str) → Dict[str, str]

Parses a model path into its component segments.

static parse_reservation_path(path: str) → Dict[str, str]

Parses a reservation path into its component segments.

async query_deployed_models(request: Optional[Union[QueryDeployedModelsRequest, dict]] = None, *, deployment_resource_pool: Optional[str] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → QueryDeployedModelsAsyncPager[source]

List DeployedModels that have been deployed on this DeploymentResourcePool.

# 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 aiplatform_v1

async def sample_query_deployed_models():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1.QueryDeployedModelsRequest(
        deployment_resource_pool="deployment_resource_pool_value",
    )

    # Make the request
    page_result = client.query_deployed_models(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters:

  • request (Optional[Union[google.cloud.aiplatform_v1.types.QueryDeployedModelsRequest, dict]]) – The request object. Request message for QueryDeployedModels method.

  • deployment_resource_pool (str) –

    Required. The name of the target DeploymentResourcePool to query. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

    This corresponds to the deployment_resource_pool field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

Response message for QueryDeployedModels method. Iterating over this object will yield results and resolve additional pages automatically.

Return type:

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsAsyncPager

static reservation_path(project_id_or_number: str, zone: str, reservation_name: str) → str

Returns a fully-qualified reservation string.

async set_iam_policy(request: Optional[SetIamPolicyRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Policy[source]

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters:

  • request (SetIamPolicyRequest) – The request object. Request message for SetIamPolicy method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type:

Policy

async test_iam_permissions(request: Optional[TestIamPermissionsRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → TestIamPermissionsResponse[source]
Tests the specified IAM permissions against the IAM access control

policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Parameters:

  • request (TestIamPermissionsRequest) – The request object. Request message for TestIamPermissions method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

Response message for TestIamPermissions method.

Return type:

TestIamPermissionsResponse

property transport: DeploymentResourcePoolServiceTransport

Returns the transport used by the client instance.

Returns:

The transport used by the client instance.

Return type:

DeploymentResourcePoolServiceTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns:

The universe domain used

by the client instance.

Return type:

str

async update_deployment_resource_pool(request: Optional[Union[UpdateDeploymentResourcePoolRequest, dict]] = None, *, deployment_resource_pool: Optional[DeploymentResourcePool] = None, update_mask: Optional[FieldMask] = None, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → AsyncOperation[source]

Update a DeploymentResourcePool.

# 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 aiplatform_v1

async def sample_update_deployment_resource_pool():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient()

    # Initialize request argument(s)
    deployment_resource_pool = aiplatform_v1.DeploymentResourcePool()
    deployment_resource_pool.dedicated_resources.min_replica_count = 1803

    request = aiplatform_v1.UpdateDeploymentResourcePoolRequest(
        deployment_resource_pool=deployment_resource_pool,
    )

    # Make the request
    operation = client.update_deployment_resource_pool(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters:

  • request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateDeploymentResourcePoolRequest, dict]]) – The request object. Request message for UpdateDeploymentResourcePool method.

  • deployment_resource_pool (google.cloud.aiplatform_v1.types.DeploymentResourcePool) –

    Required. The DeploymentResourcePool to update.

    The DeploymentResourcePool’s name field is used to identify the DeploymentResourcePool to update. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

    This corresponds to the deployment_resource_pool field on the request instance; if request is provided, this should not be set.

  • update_mask (google.protobuf.field_mask_pb2.FieldMask) –

    Required. The list of fields to update.

    This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1.types.DeploymentResourcePool A description of resources that can be shared by multiple DeployedModels,

whose underlying specification consists of a DedicatedResources.

Return type:

google.api_core.operation_async.AsyncOperation

async wait_operation(request: Optional[WaitOperationRequest] = None, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters:

  • request (WaitOperationRequest) – The request object. Request message for WaitOperation method.

  • retry (google.api_core.retry_async.AsyncRetry) – 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.

Returns:

An Operation object.

Return type:

Operation

class google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient(*, credentials: ~typing.Optional[~google.auth.credentials.Credentials] = None, transport: ~typing.Optional[~typing.Union[str, ~google.cloud.aiplatform_v1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport, ~typing.Callable[[...], ~google.cloud.aiplatform_v1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport]]] = None, client_options: ~typing.Optional[~typing.Union[~google.api_core.client_options.ClientOptions, dict]] = None, client_info: ~google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

A service that manages the DeploymentResourcePool resource.

Instantiates the deployment resource pool service client.

Parameters:

  • 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 (Optional[Union[str,DeploymentResourcePoolServiceTransport,Callable[..., DeploymentResourcePoolServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the DeploymentResourcePoolServiceTransport constructor. If set to None, a transport is chosen automatically.

  • client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –

    Custom options for the client.

    1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

    2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

    3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises:

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]

Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint

Return the API endpoint used by the client instance.

Returns:

The API endpoint used by the client instance.

Return type:

str

cancel_operation(request: Optional[CancelOperationRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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.

Parameters:

  • request (CancelOperationRequest) – The request object. Request message for CancelOperation method.

  • 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.

Returns:

None

static common_billing_account_path(billing_account: str) → str[source]

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]

Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]

Returns a fully-qualified project string.

create_deployment_resource_pool(request: Optional[Union[CreateDeploymentResourcePoolRequest, dict]] = None, *, parent: Optional[str] = None, deployment_resource_pool: Optional[DeploymentResourcePool] = None, deployment_resource_pool_id: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]

Create a DeploymentResourcePool.

# 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 aiplatform_v1

def sample_create_deployment_resource_pool():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceClient()

    # Initialize request argument(s)
    deployment_resource_pool = aiplatform_v1.DeploymentResourcePool()
    deployment_resource_pool.dedicated_resources.min_replica_count = 1803

    request = aiplatform_v1.CreateDeploymentResourcePoolRequest(
        parent="parent_value",
        deployment_resource_pool=deployment_resource_pool,
        deployment_resource_pool_id="deployment_resource_pool_id_value",
    )

    # Make the request
    operation = client.create_deployment_resource_pool(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters:

  • request (Union[google.cloud.aiplatform_v1.types.CreateDeploymentResourcePoolRequest, dict]) – The request object. Request message for CreateDeploymentResourcePool method.

  • parent (str) –

    Required. The parent location resource where this DeploymentResourcePool will be created. Format: projects/{project}/locations/{location}

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • deployment_resource_pool (google.cloud.aiplatform_v1.types.DeploymentResourcePool) –

    Required. The DeploymentResourcePool to create.

    This corresponds to the deployment_resource_pool field on the request instance; if request is provided, this should not be set.

  • deployment_resource_pool_id (str) –

    Required. The ID to use for the DeploymentResourcePool, which will become the final component of the DeploymentResourcePool’s resource name.

    The maximum length is 63 characters, and valid characters are /^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/.

    This corresponds to the deployment_resource_pool_id field on the request instance; if request is provided, this should not be set.

  • 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.

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1.types.DeploymentResourcePool A description of resources that can be shared by multiple DeployedModels,

whose underlying specification consists of a DedicatedResources.

Return type:

google.api_core.operation.Operation

delete_deployment_resource_pool(request: Optional[Union[DeleteDeploymentResourcePoolRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]

Delete a DeploymentResourcePool.

# 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 aiplatform_v1

def sample_delete_deployment_resource_pool():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.DeleteDeploymentResourcePoolRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_deployment_resource_pool(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters:

  • request (Union[google.cloud.aiplatform_v1.types.DeleteDeploymentResourcePoolRequest, dict]) – The request object. Request message for DeleteDeploymentResourcePool method.

  • name (str) –

    Required. The name of the DeploymentResourcePool to delete. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • 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.

Returns:

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);

}

Return type:

google.api_core.operation.Operation

delete_operation(request: Optional[DeleteOperationRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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.

Parameters:

  • request (DeleteOperationRequest) – The request object. Request message for DeleteOperation method.

  • 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.

Returns:

None

static deployment_resource_pool_path(project: str, location: str, deployment_resource_pool: str) → str[source]

Returns a fully-qualified deployment_resource_pool string.

static endpoint_path(project: str, location: str, endpoint: str) → str[source]

Returns a fully-qualified endpoint string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters:

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns:

The constructed client.

Return type:

DeploymentResourcePoolServiceClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters:

  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns:

The constructed client.

Return type:

DeploymentResourcePoolServiceClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters:

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns:

The constructed client.

Return type:

DeploymentResourcePoolServiceClient

get_deployment_resource_pool(request: Optional[Union[GetDeploymentResourcePoolRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → DeploymentResourcePool[source]

Get a DeploymentResourcePool.

# 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 aiplatform_v1

def sample_get_deployment_resource_pool():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.GetDeploymentResourcePoolRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_deployment_resource_pool(request=request)

    # Handle the response
    print(response)
Parameters:

  • request (Union[google.cloud.aiplatform_v1.types.GetDeploymentResourcePoolRequest, dict]) – The request object. Request message for GetDeploymentResourcePool method.

  • name (str) –

    Required. The name of the DeploymentResourcePool to retrieve. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • 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.

Returns:

A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.

Return type:

google.cloud.aiplatform_v1.types.DeploymentResourcePool

get_iam_policy(request: Optional[GetIamPolicyRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Policy[source]

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Parameters:

  • request (GetIamPolicyRequest) – The request object. Request message for GetIamPolicy method.

  • 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.

Returns:

Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type:

Policy

get_location(request: Optional[GetLocationRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Location[source]

Gets information about a location.

Parameters:

  • request (GetLocationRequest) – The request object. Request message for GetLocation method.

  • 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.

Returns:

Location object.

Return type:

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[ClientOptions] = None)[source]

Deprecated. 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.

Parameters:

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns:

returns the API endpoint and the

client cert source to use.

Return type:

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises:

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

get_operation(request: Optional[GetOperationRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]

Gets the latest state of a long-running operation.

Parameters:

  • request (GetOperationRequest) – The request object. Request message for GetOperation method.

  • 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.

Returns:

An Operation object.

Return type:

Operation

list_deployment_resource_pools(request: Optional[Union[ListDeploymentResourcePoolsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListDeploymentResourcePoolsPager[source]

List DeploymentResourcePools in a 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 aiplatform_v1

def sample_list_deployment_resource_pools():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.ListDeploymentResourcePoolsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_deployment_resource_pools(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters:

  • request (Union[google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsRequest, dict]) – The request object. Request message for ListDeploymentResourcePools method.

  • parent (str) –

    Required. The parent Location which owns this collection of DeploymentResourcePools. Format: projects/{project}/locations/{location}

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • 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.

Returns:

Response message for ListDeploymentResourcePools method. Iterating over this object will yield results and resolve additional pages automatically.

Return type:

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsPager

list_locations(request: Optional[ListLocationsRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListLocationsResponse[source]

Lists information about the supported locations for this service.

Parameters:

  • request (ListLocationsRequest) – The request object. Request message for ListLocations method.

  • 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.

Returns:

Response message for ListLocations method.

Return type:

ListLocationsResponse

list_operations(request: Optional[ListOperationsRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters:

  • request (ListOperationsRequest) – The request object. Request message for ListOperations method.

  • 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.

Returns:

Response message for ListOperations method.

Return type:

ListOperationsResponse

static model_path(project: str, location: str, model: str) → str[source]

Returns a fully-qualified model string.

static parse_common_billing_account_path(path: str) → Dict[str, str][source]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]

Parse a project path into its component segments.

static parse_deployment_resource_pool_path(path: str) → Dict[str, str][source]

Parses a deployment_resource_pool path into its component segments.

static parse_endpoint_path(path: str) → Dict[str, str][source]

Parses a endpoint path into its component segments.

static parse_model_path(path: str) → Dict[str, str][source]

Parses a model path into its component segments.

static parse_reservation_path(path: str) → Dict[str, str][source]

Parses a reservation path into its component segments.

query_deployed_models(request: Optional[Union[QueryDeployedModelsRequest, dict]] = None, *, deployment_resource_pool: Optional[str] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → QueryDeployedModelsPager[source]

List DeployedModels that have been deployed on this DeploymentResourcePool.

# 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 aiplatform_v1

def sample_query_deployed_models():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.QueryDeployedModelsRequest(
        deployment_resource_pool="deployment_resource_pool_value",
    )

    # Make the request
    page_result = client.query_deployed_models(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters:

  • request (Union[google.cloud.aiplatform_v1.types.QueryDeployedModelsRequest, dict]) – The request object. Request message for QueryDeployedModels method.

  • deployment_resource_pool (str) –

    Required. The name of the target DeploymentResourcePool to query. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

    This corresponds to the deployment_resource_pool field on the request instance; if request is provided, this should not be set.

  • 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.

Returns:

Response message for QueryDeployedModels method. Iterating over this object will yield results and resolve additional pages automatically.

Return type:

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsPager

static reservation_path(project_id_or_number: str, zone: str, reservation_name: str) → str[source]

Returns a fully-qualified reservation string.

set_iam_policy(request: Optional[SetIamPolicyRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Policy[source]

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters:

  • request (SetIamPolicyRequest) – The request object. Request message for SetIamPolicy method.

  • 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.

Returns:

Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type:

Policy

test_iam_permissions(request: Optional[TestIamPermissionsRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → TestIamPermissionsResponse[source]
Tests the specified IAM permissions against the IAM access control

policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Parameters:

  • request (TestIamPermissionsRequest) – The request object. Request message for TestIamPermissions method.

  • 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.

Returns:

Response message for TestIamPermissions method.

Return type:

TestIamPermissionsResponse

property transport: DeploymentResourcePoolServiceTransport

Returns the transport used by the client instance.

Returns:

The transport used by the client

instance.

Return type:

DeploymentResourcePoolServiceTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns:

The universe domain used by the client instance.

Return type:

str

update_deployment_resource_pool(request: Optional[Union[UpdateDeploymentResourcePoolRequest, dict]] = None, *, deployment_resource_pool: Optional[DeploymentResourcePool] = None, update_mask: Optional[FieldMask] = None, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]

Update a DeploymentResourcePool.

# 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 aiplatform_v1

def sample_update_deployment_resource_pool():
    # Create a client
    client = aiplatform_v1.DeploymentResourcePoolServiceClient()

    # Initialize request argument(s)
    deployment_resource_pool = aiplatform_v1.DeploymentResourcePool()
    deployment_resource_pool.dedicated_resources.min_replica_count = 1803

    request = aiplatform_v1.UpdateDeploymentResourcePoolRequest(
        deployment_resource_pool=deployment_resource_pool,
    )

    # Make the request
    operation = client.update_deployment_resource_pool(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters:

  • request (Union[google.cloud.aiplatform_v1.types.UpdateDeploymentResourcePoolRequest, dict]) – The request object. Request message for UpdateDeploymentResourcePool method.

  • deployment_resource_pool (google.cloud.aiplatform_v1.types.DeploymentResourcePool) –

    Required. The DeploymentResourcePool to update.

    The DeploymentResourcePool’s name field is used to identify the DeploymentResourcePool to update. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

    This corresponds to the deployment_resource_pool field on the request instance; if request is provided, this should not be set.

  • update_mask (google.protobuf.field_mask_pb2.FieldMask) –

    Required. The list of fields to update.

    This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.

  • 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.

Returns:

An object representing a long-running operation.

The result type for the operation will be google.cloud.aiplatform_v1.types.DeploymentResourcePool A description of resources that can be shared by multiple DeployedModels,

whose underlying specification consists of a DedicatedResources.

Return type:

google.api_core.operation.Operation

wait_operation(request: Optional[WaitOperationRequest] = None, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → Operation[source]

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters:

  • request (WaitOperationRequest) – The request object. Request message for WaitOperation method.

  • 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.

Returns:

An Operation object.

Return type:

Operation

class google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsAsyncPager(method: Callable[[...], Awaitable[ListDeploymentResourcePoolsResponse]], request: ListDeploymentResourcePoolsRequest, response: ListDeploymentResourcePoolsResponse, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_deployment_resource_pools requests.

This class thinly wraps an initial google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse object, and provides an __aiter__ method to iterate through its deployment_resource_pools field.

If there are more pages, the __aiter__ method will make additional ListDeploymentResourcePools requests and continue to iterate through the deployment_resource_pools field on the corresponding responses.

All the usual google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters:
class google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsPager(method: Callable[[...], ListDeploymentResourcePoolsResponse], request: ListDeploymentResourcePoolsRequest, response: ListDeploymentResourcePoolsResponse, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_deployment_resource_pools requests.

This class thinly wraps an initial google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse object, and provides an __iter__ method to iterate through its deployment_resource_pools field.

If there are more pages, the __iter__ method will make additional ListDeploymentResourcePools requests and continue to iterate through the deployment_resource_pools field on the corresponding responses.

All the usual google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters:
class google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsAsyncPager(method: Callable[[...], Awaitable[QueryDeployedModelsResponse]], request: QueryDeployedModelsRequest, response: QueryDeployedModelsResponse, *, retry: Optional[Union[AsyncRetry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through query_deployed_models requests.

This class thinly wraps an initial google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse object, and provides an __aiter__ method to iterate through its deployed_models field.

If there are more pages, the __aiter__ method will make additional QueryDeployedModels requests and continue to iterate through the deployed_models field on the corresponding responses.

All the usual google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters:
class google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsPager(method: Callable[[...], QueryDeployedModelsResponse], request: QueryDeployedModelsRequest, response: QueryDeployedModelsResponse, *, retry: Optional[Union[Retry, _MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through query_deployed_models requests.

This class thinly wraps an initial google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse object, and provides an __iter__ method to iterate through its deployed_models field.

If there are more pages, the __iter__ method will make additional QueryDeployedModels requests and continue to iterate through the deployed_models field on the corresponding responses.

All the usual google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters: