DataObjectServiceAsyncClient(
*,
credentials: typing.Optional[google.auth.credentials.Credentials] = None,
transport: typing.Optional[
typing.Union[
str,
google.cloud.vectorsearch_v1beta.services.data_object_service.transports.base.DataObjectServiceTransport,
typing.Callable[
[...],
google.cloud.vectorsearch_v1beta.services.data_object_service.transports.base.DataObjectServiceTransport,
],
]
] = "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
)Service for creating and managing data objects.
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 |
DataObjectServiceTransport |
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
DataObjectServiceAsyncClient
DataObjectServiceAsyncClient(
*,
credentials: typing.Optional[google.auth.credentials.Credentials] = None,
transport: typing.Optional[
typing.Union[
str,
google.cloud.vectorsearch_v1beta.services.data_object_service.transports.base.DataObjectServiceTransport,
typing.Callable[
[...],
google.cloud.vectorsearch_v1beta.services.data_object_service.transports.base.DataObjectServiceTransport,
],
]
] = "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 data object 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,DataObjectServiceTransport,Callable[..., DataObjectServiceTransport]]]
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 DataObjectServiceTransport 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 |
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 |
| Exceptions | |
|---|---|
| Type | Description |
google.auth.exceptions.MutualTlsChannelError |
If mutual TLS transport creation failed for any reason. |
batch_create_data_objects
batch_create_data_objects(
request: typing.Optional[
typing.Union[
google.cloud.vectorsearch_v1beta.types.data_object_service.BatchCreateDataObjectsRequest,
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.cloud.vectorsearch_v1beta.types.data_object_service.BatchCreateDataObjectsResponse
)Creates a batch of dataObjects.
# 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_batch_create_data_objects():
# Create a client
client = vectorsearch_v1beta.DataObjectServiceAsyncClient()
# Initialize request argument(s)
requests = vectorsearch_v1beta.CreateDataObjectRequest()
requests.parent = "parent_value"
requests.data_object_id = "data_object_id_value"
request = vectorsearch_v1beta.BatchCreateDataObjectsRequest(
parent="parent_value",
requests=requests,
)
# Make the request
response = await client.batch_create_data_objects(request=request)
# Handle the response
print(response)
| Parameters | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.vectorsearch_v1beta.types.BatchCreateDataObjectsRequest, dict]]
The request object. Request message for DataObjectService.BatchCreateDataObjects. |
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 |
| Returns | |
|---|---|
| Type | Description |
google.cloud.vectorsearch_v1beta.types.BatchCreateDataObjectsResponse |
Response message for DataObjectService.BatchCreateDataObjects. |
batch_delete_data_objects
batch_delete_data_objects(
request: typing.Optional[
typing.Union[
google.cloud.vectorsearch_v1beta.types.data_object_service.BatchDeleteDataObjectsRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
requests: typing.Optional[
typing.MutableSequence[
google.cloud.vectorsearch_v1beta.types.data_object_service.DeleteDataObjectRequest
]
] = 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]]] = ()
) -> NoneDeletes dataObjects in a batch.
# 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_batch_delete_data_objects():
# Create a client
client = vectorsearch_v1beta.DataObjectServiceAsyncClient()
# Initialize request argument(s)
requests = vectorsearch_v1beta.DeleteDataObjectRequest()
requests.name = "name_value"
request = vectorsearch_v1beta.BatchDeleteDataObjectsRequest(
parent="parent_value",
requests=requests,
)
# Make the request
await client.batch_delete_data_objects(request=request)
| Parameters | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.vectorsearch_v1beta.types.BatchDeleteDataObjectsRequest, dict]]
The request object. Request message for DataObjectService.BatchDeleteDataObjects. |
parent |
Required. The resource name of the Collection to delete the DataObjects in. Format: |
requests |
:class:
Required. The request message specifying the resources to delete. A maximum of 1000 DataObjects can be deleted in a batch. This corresponds to the |
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 |
batch_update_data_objects
batch_update_data_objects(
request: typing.Optional[
typing.Union[
google.cloud.vectorsearch_v1beta.types.data_object_service.BatchUpdateDataObjectsRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
requests: typing.Optional[
typing.MutableSequence[
google.cloud.vectorsearch_v1beta.types.data_object_service.UpdateDataObjectRequest
]
] = 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.data_object_service.BatchUpdateDataObjectsResponse
)Updates dataObjects in a batch.
# 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_batch_update_data_objects():
# Create a client
client = vectorsearch_v1beta.DataObjectServiceAsyncClient()
# Initialize request argument(s)
request = vectorsearch_v1beta.BatchUpdateDataObjectsRequest(
parent="parent_value",
)
# Make the request
response = await client.batch_update_data_objects(request=request)
# Handle the response
print(response)
| Parameters | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.vectorsearch_v1beta.types.BatchUpdateDataObjectsRequest, dict]]
The request object. Request message for DataObjectService.BatchUpdateDataObjects. |
parent |
Required. The resource name of the Collection to update the DataObjects in. Format: |
requests |
:class:
Required. The request message specifying the resources to update. A maximum of 1000 DataObjects can be updated in a batch. This corresponds to the |
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 |
| Returns | |
|---|---|
| Type | Description |
google.cloud.vectorsearch_v1beta.types.BatchUpdateDataObjectsResponse |
Response message for DataObjectService.BatchUpdateDataObjects. |
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]]] = ()
) -> NoneStarts 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 |
The request object. Request message for |
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 |
collection_path
collection_path(project: str, location: str, collection: str) -> strReturns a fully-qualified collection string.
common_billing_account_path
common_billing_account_path(billing_account: str) -> strReturns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str) -> strReturns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str) -> strReturns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str) -> strReturns a fully-qualified organization string.
common_project_path
common_project_path(project: str) -> strReturns a fully-qualified project string.
create_data_object
create_data_object(
request: typing.Optional[
typing.Union[
google.cloud.vectorsearch_v1beta.types.data_object_service.CreateDataObjectRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
data_object: typing.Optional[
google.cloud.vectorsearch_v1beta.types.data_object.DataObject
] = None,
data_object_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.cloud.vectorsearch_v1beta.types.data_object.DataObjectCreates a dataObject.
# 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_data_object():
# Create a client
client = vectorsearch_v1beta.DataObjectServiceAsyncClient()
# Initialize request argument(s)
request = vectorsearch_v1beta.CreateDataObjectRequest(
parent="parent_value",
data_object_id="data_object_id_value",
)
# Make the request
response = await client.create_data_object(request=request)
# Handle the response
print(response)
| Parameters | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.vectorsearch_v1beta.types.CreateDataObjectRequest, dict]]
The request object. Request message for DataObjectService.CreateDataObject. |
parent |
Required. The resource name of the Collection to create the DataObject in. Format: |
data_object |
DataObject
Required. The DataObject to create. This corresponds to the |
data_object_id |
Required. The id of the dataObject to create. The id must be 1-63 characters long, and comply with RFC1035. Specifically, it must be 1-63 characters long and match the regular expression |
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 |
| Returns | |
|---|---|
| Type | Description |
google.cloud.vectorsearch_v1beta.types.DataObject |
A dataObject resource in Vector Search. |
data_object_path
data_object_path(
project: str, location: str, collection: str, dataObject: str
) -> strReturns a fully-qualified data_object string.
delete_data_object
delete_data_object(
request: typing.Optional[
typing.Union[
google.cloud.vectorsearch_v1beta.types.data_object_service.DeleteDataObjectRequest,
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]]] = ()
) -> NoneDeletes a dataObject.
# 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_data_object():
# Create a client
client = vectorsearch_v1beta.DataObjectServiceAsyncClient()
# Initialize request argument(s)
request = vectorsearch_v1beta.DeleteDataObjectRequest(
name="name_value",
)
# Make the request
await client.delete_data_object(request=request)
| Parameters | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.vectorsearch_v1beta.types.DeleteDataObjectRequest, dict]]
The request object. Request message for DataObjectService.DeleteDataObject. |
name |
Required. The name of the DataObject resource to be deleted. Format: |
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 |
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]]] = ()
) -> NoneDeletes 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 |
The request object. Request message for |
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 |
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 |
DataObjectServiceAsyncClient |
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 |
DataObjectServiceAsyncClient |
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 |
DataObjectServiceAsyncClient |
The constructed client. |
get_data_object
get_data_object(
request: typing.Optional[
typing.Union[
google.cloud.vectorsearch_v1beta.types.data_object_service.GetDataObjectRequest,
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.data_object.DataObjectGets a data object.
# 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_data_object():
# Create a client
client = vectorsearch_v1beta.DataObjectServiceAsyncClient()
# Initialize request argument(s)
request = vectorsearch_v1beta.GetDataObjectRequest(
name="name_value",
)
# Make the request
response = await client.get_data_object(request=request)
# Handle the response
print(response)
| Parameters | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.vectorsearch_v1beta.types.GetDataObjectRequest, dict]]
The request object. Request message for DataObjectService.GetDataObject. |
name |
Required. The name of the DataObject resource. Format: |
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 |
| Returns | |
|---|---|
| Type | Description |
google.cloud.vectorsearch_v1beta.types.DataObject |
A dataObject resource in Vector Search. |
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.LocationGets information about a location.
| Parameters | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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 |
| Returns | |
|---|---|
| Type | Description |
|
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 |
| 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.OperationGets the latest state of a long-running operation.
| Parameters | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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 |
| Returns | |
|---|---|
| Type | Description |
|
An Operation object. |
get_transport_class
get_transport_class(
label: typing.Optional[str] = None,
) -> typing.Type[
google.cloud.vectorsearch_v1beta.services.data_object_service.transports.base.DataObjectServiceTransport
]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. |
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.ListLocationsResponseLists information about the supported locations for this service.
| Parameters | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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 |
| Returns | |
|---|---|
| Type | Description |
|
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.ListOperationsResponseLists operations that match the specified filter in the request.
| Parameters | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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 |
| Returns | |
|---|---|
| Type | Description |
|
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_data_object_path
parse_data_object_path(path: str) -> typing.Dict[str, str]Parses a data_object path into its component segments.
update_data_object
update_data_object(
request: typing.Optional[
typing.Union[
google.cloud.vectorsearch_v1beta.types.data_object_service.UpdateDataObjectRequest,
dict,
]
] = None,
*,
data_object: typing.Optional[
google.cloud.vectorsearch_v1beta.types.data_object.DataObject
] = 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.cloud.vectorsearch_v1beta.types.data_object.DataObjectUpdates a dataObject.
# 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_data_object():
# Create a client
client = vectorsearch_v1beta.DataObjectServiceAsyncClient()
# Initialize request argument(s)
request = vectorsearch_v1beta.UpdateDataObjectRequest(
)
# Make the request
response = await client.update_data_object(request=request)
# Handle the response
print(response)
| Parameters | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.vectorsearch_v1beta.types.UpdateDataObjectRequest, dict]]
The request object. Request message for DataObjectService.UpdateDataObject. |
data_object |
DataObject
Required. The DataObject which replaces the resource on the server. This corresponds to the |
update_mask |
Optional. The update mask applies to the resource. See |
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 |
| Returns | |
|---|---|
| Type | Description |
google.cloud.vectorsearch_v1beta.types.DataObject |
A dataObject resource in Vector Search. |