Class VectorSearchServiceAsyncClient (0.1.0)

VectorSearchServiceAsyncClient(
    *,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    transport: typing.Optional[
        typing.Union[
            str,
            google.cloud.vectorsearch_v1beta.services.vector_search_service.transports.base.VectorSearchServiceTransport,
            typing.Callable[
                [...],
                google.cloud.vectorsearch_v1beta.services.vector_search_service.transports.base.VectorSearchServiceTransport,
            ],
        ]
    ] = "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
)

VectorSearchService provides methods for managing Collection resources, and Collection Index resources. The primary resources offered by this service are Collections which are a container for a set of related JSON data objects, and Collection Indexes which enable efficient ANN search across data objects within a Collection.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type	Description
str	The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type	Description
VectorSearchServiceTransport	The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type	Description
str	The universe domain used by the client instance.

Methods

VectorSearchServiceAsyncClient

VectorSearchServiceAsyncClient(
    *,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    transport: typing.Optional[
        typing.Union[
            str,
            google.cloud.vectorsearch_v1beta.services.vector_search_service.transports.base.VectorSearchServiceTransport,
            typing.Callable[
                [...],
                google.cloud.vectorsearch_v1beta.services.vector_search_service.transports.base.VectorSearchServiceTransport,
            ],
        ]
    ] = "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
)

Instantiates the vector search service async client.

Parameters
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	Optional[Union[str,VectorSearchServiceTransport,Callable[..., VectorSearchServiceTransport]]] 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 VectorSearchServiceTransport 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.

Exceptions
Type	Description
google.auth.exceptions.MutualTlsChannelError	If mutual TLS transport creation failed for any reason.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

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
Name	Description
request	.operations_pb2.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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

collection_path

collection_path(project: str, location: str, collection: str) -> str

Returns a fully-qualified collection string.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_collection

create_collection(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.CreateCollectionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    collection: typing.Optional[
        google.cloud.vectorsearch_v1beta.types.vectorsearch_service.Collection
    ] = None,
    collection_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Collection in a given project and 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 vectorsearch_v1beta

async def sample_create_collection():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    request = vectorsearch_v1beta.CreateCollectionRequest(
        parent="parent_value",
        collection_id="collection_id_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.CreateCollectionRequest, dict]] The request object. Message for creating a Collection
parent	str Required. Value for parent. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
collection	Collection Required. The resource being created This corresponds to the collection field on the request instance; if request is provided, this should not be set.
collection_id	str Required. Id of the requesting object If auto-generating Id server-side, remove this field and collection_id from the method_signature of Create RPC This corresponds to the collection_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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Collection Message describing Collection object

create_index

create_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.CreateIndexRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    index: typing.Optional[
        google.cloud.vectorsearch_v1beta.types.vectorsearch_service.Index
    ] = None,
    index_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Index in a given project and 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 vectorsearch_v1beta

async def sample_create_index():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    index = vectorsearch_v1beta.Index()
    index.index_field = "index_field_value"

    request = vectorsearch_v1beta.CreateIndexRequest(
        parent="parent_value",
        index_id="index_id_value",
        index=index,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.CreateIndexRequest, dict]] The request object. Message for creating an Index.
parent	str Required. The resource name of the Collection for which to create the Index. Format: projects/{project}/locations/{location}/collections/{collection} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
index	Index Required. The resource being created This corresponds to the index field on the request instance; if request is provided, this should not be set.
index_id	str Required. Id of the requesting object If auto-generating Id server-side, remove this field and index_id from the method_signature of Create RPC This corresponds to the index_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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Index Message describing Index object

delete_collection

delete_collection(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.DeleteCollectionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Collection.

# 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 vectorsearch_v1beta

async def sample_delete_collection():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    request = vectorsearch_v1beta.DeleteCollectionRequest(
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.DeleteCollectionRequest, dict]] The request object. Message for deleting a Collection
name	str Required. Name of the resource 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
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_index

delete_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.DeleteIndexRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Index.

# 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 vectorsearch_v1beta

async def sample_delete_index():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    request = vectorsearch_v1beta.DeleteIndexRequest(
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.DeleteIndexRequest, dict]] The request object. Message for deleting an Index.
name	str Required. The resource name of the Index to delete. Format: projects/{project}/locations/{location}/collections/{collection}/indexes/{index} 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
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: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

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
Name	Description
request	.operations_pb2.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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
filename	str The path to the service account private key json file.

Returns
Type	Description
VectorSearchServiceAsyncClient	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.

Parameter
Name	Description
info	dict The service account private key info.

Returns
Type	Description
VectorSearchServiceAsyncClient	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.

Parameter
Name	Description
filename	str The path to the service account private key json file.

Returns
Type	Description
VectorSearchServiceAsyncClient	The constructed client.

get_collection

get_collection(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.GetCollectionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.vectorsearch_v1beta.types.vectorsearch_service.Collection

Gets details of a single Collection.

# 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 vectorsearch_v1beta

async def sample_get_collection():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    request = vectorsearch_v1beta.GetCollectionRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.GetCollectionRequest, dict]] The request object. Message for getting a Collection
name	str Required. Name of the resource 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.vectorsearch_v1beta.types.Collection	Message describing Collection object

get_index

get_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.GetIndexRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.vectorsearch_v1beta.types.vectorsearch_service.Index

Gets details of a single Index.

# 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 vectorsearch_v1beta

async def sample_get_index():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    request = vectorsearch_v1beta.GetIndexRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.GetIndexRequest, dict]] The request object. Message for getting an Index
name	str Required. Name of the resource 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.vectorsearch_v1beta.types.Index	Message describing Index object

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name	Description
request	.location_pb2.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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
.location_pb2.Location	Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.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.

Parameter
Name	Description
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.

Exceptions
Type	Description
google.auth.exceptions.MutualTLSChannelError	If any errors happen.

Returns
Type	Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]]	returns the API endpoint and the client cert source to use.

get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name	Description
request	.operations_pb2.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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
.operations_pb2.Operation	An Operation object.

get_transport_class

get_transport_class(
    label: typing.Optional[str] = None,
) -> typing.Type[
    google.cloud.vectorsearch_v1beta.services.vector_search_service.transports.base.VectorSearchServiceTransport
]

Returns an appropriate transport class.

Parameter
Name	Description
label	typing.Optional[str] The name of the desired transport. If none is provided, then the first transport in the registry is used.

import_data_objects

import_data_objects(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.ImportDataObjectsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation

Initiates a Long-Running Operation to import DataObjects into a Collection.

# 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 vectorsearch_v1beta

async def sample_import_data_objects():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    gcs_import = vectorsearch_v1beta.GcsImportConfig()
    gcs_import.contents_uri = "contents_uri_value"
    gcs_import.error_uri = "error_uri_value"

    request = vectorsearch_v1beta.ImportDataObjectsRequest(
        gcs_import=gcs_import,
        name="name_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.ImportDataObjectsRequest, dict]] The request object. Request message for [DataObjectService.ImportDataObjects][].
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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be ImportDataObjectsResponse Response for [DataObjectService.ImportDataObjects][].

index_path

index_path(project: str, location: str, collection: str, index: str) -> str

Returns a fully-qualified index string.

list_collections

list_collections(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.ListCollectionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.vectorsearch_v1beta.services.vector_search_service.pagers.ListCollectionsAsyncPager
)

Lists Collections in a given project and 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 vectorsearch_v1beta

async def sample_list_collections():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    request = vectorsearch_v1beta.ListCollectionsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.ListCollectionsRequest, dict]] The request object. Message for requesting list of Collections
parent	str Required. Parent value for ListCollectionsRequest 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.vectorsearch_v1beta.services.vector_search_service.pagers.ListCollectionsAsyncPager	Message for response to listing Collections Iterating over this object will yield results and resolve additional pages automatically.

list_indexes

list_indexes(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.ListIndexesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.vectorsearch_v1beta.services.vector_search_service.pagers.ListIndexesAsyncPager
)

Lists Indexes in a given project and 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 vectorsearch_v1beta

async def sample_list_indexes():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    request = vectorsearch_v1beta.ListIndexesRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.ListIndexesRequest, dict]] The request object. Message for requesting list of Indexes
parent	str Required. Parent value for ListIndexesRequest 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.vectorsearch_v1beta.services.vector_search_service.pagers.ListIndexesAsyncPager	Message for response to listing Indexes Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name	Description
request	.location_pb2.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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
.location_pb2.ListLocationsResponse	Response message for ListLocations method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name	Description
request	.operations_pb2.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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
.operations_pb2.ListOperationsResponse	Response message for ListOperations method.

parse_collection_path

parse_collection_path(path: str) -> typing.Dict[str, str]

Parses a collection path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_index_path

parse_index_path(path: str) -> typing.Dict[str, str]

Parses a index path into its component segments.

update_collection

update_collection(
    request: typing.Optional[
        typing.Union[
            google.cloud.vectorsearch_v1beta.types.vectorsearch_service.UpdateCollectionRequest,
            dict,
        ]
    ] = None,
    *,
    collection: typing.Optional[
        google.cloud.vectorsearch_v1beta.types.vectorsearch_service.Collection
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Collection.

# 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 vectorsearch_v1beta

async def sample_update_collection():
    # Create a client
    client = vectorsearch_v1beta.VectorSearchServiceAsyncClient()

    # Initialize request argument(s)
    request = vectorsearch_v1beta.UpdateCollectionRequest(
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.vectorsearch_v1beta.types.UpdateCollectionRequest, dict]] The request object. Message for updating a Collection
collection	Collection Required. The resource being updated This corresponds to the collection field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Optional. Field mask is used to specify the fields to be overwritten in the Collection resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields present in the request will be overwritten. The following fields support update: display_name, description, labels, data_schema, vector_schema. For data_schema and vector_schema, fields can only be added, not modified or deleted. Partial updates for data_schema and vector_schema are also supported by using sub-field paths in update_mask, e.g. data_schema.properties.foo or vector_schema.my_vector_field. If * is provided in the update_mask, full replacement will be performed. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Collection Message describing Collection object