Class LiveVideoAnalyticsAsyncClient (0.1.5)

LiveVideoAnalyticsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.visionai_v1.services.live_video_analytics.transports.base.LiveVideoAnalyticsTransport, typing.Callable[[...], google.cloud.visionai_v1.services.live_video_analytics.transports.base.LiveVideoAnalyticsTransport]]] = '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>)

Service describing handlers for resources. The service enables clients to run Live Video Analytics (LVA) on the streaming inputs.

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
`LiveVideoAnalyticsTransport`	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

LiveVideoAnalyticsAsyncClient

LiveVideoAnalyticsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.visionai_v1.services.live_video_analytics.transports.base.LiveVideoAnalyticsTransport, typing.Callable[[...], google.cloud.visionai_v1.services.live_video_analytics.transports.base.LiveVideoAnalyticsTransport]]] = '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>)

Instantiates the live video analytics 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,LiveVideoAnalyticsTransport,Callable[..., LiveVideoAnalyticsTransport]]]` 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 LiveVideoAnalyticsTransport 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.

analysis_path

analysis_path(project: str, location: str, cluster: str, analysis: str) -> str

Returns a fully-qualified analysis string.

batch_run_process

batch_run_process(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.BatchRunProcessRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.visionai_v1.types.lva_service.CreateProcessRequest
        ]
    ] = 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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Run all of the processes to "completion". Max time for each process is the LRO time limit.

# 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 visionai_v1

async def sample_batch_run_process():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    requests = visionai_v1.CreateProcessRequest()
    requests.parent = "parent_value"
    requests.process_id = "process_id_value"
    requests.process.analysis = "analysis_value"

    request = visionai_v1.BatchRunProcessRequest(
        parent="parent_value",
        requests=requests,
    )

    # Make the request
    operation = client.batch_run_process(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.visionai_v1.types.BatchRunProcessRequest, dict]]` The request object. Request message for running the processes in a batch.
`parent`	`str` Required. The parent resource shared by all processes being created. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`requests`	`:class:MutableSequence[google.cloud.visionai_v1.types.CreateProcessRequest]` Required. The create process requests. This corresponds to the `requests` 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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be BatchRunProcessResponse Response message for running the processes in a batch.

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, str]] = ()
) -> 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, str]]` Strings which should be sent along with the request as metadata.

cluster_path

cluster_path(project: str, location: str, cluster: str) -> str

Returns a fully-qualified cluster 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_analysis

create_analysis(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.CreateAnalysisRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    analysis: typing.Optional[
        google.cloud.visionai_v1.types.lva_resources.Analysis
    ] = None,
    analysis_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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Analysis 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 visionai_v1

async def sample_create_analysis():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.CreateAnalysisRequest(
        parent="parent_value",
        analysis_id="analysis_id_value",
    )

    # Make the request
    operation = client.create_analysis(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.visionai_v1.types.CreateAnalysisRequest, dict]]` The request object. Message for creating an Analysis.
`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.
`analysis`	`Analysis` Required. The resource being created. This corresponds to the `analysis` field on the `request` instance; if `request` is provided, this should not be set.
`analysis_id`	`str` Required. Id of the requesting object. This corresponds to the `analysis_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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Analysis Message describing the Analysis object.

create_operator

create_operator(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.CreateOperatorRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    operator: typing.Optional[
        google.cloud.visionai_v1.types.lva_resources.Operator
    ] = None,
    operator_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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Operator 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 visionai_v1

async def sample_create_operator():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.CreateOperatorRequest(
        parent="parent_value",
        operator_id="operator_id_value",
    )

    # Make the request
    operation = client.create_operator(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.visionai_v1.types.CreateOperatorRequest, dict]]` The request object. Message for creating a Operator.
`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.
`operator`	`Operator` Required. The resource being created. This corresponds to the `operator` field on the `request` instance; if `request` is provided, this should not be set.
`operator_id`	`str` Required. Id of the requesting object. This corresponds to the `operator_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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Operator Message describing the Operator object.

create_process

create_process(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.CreateProcessRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    process: typing.Optional[
        google.cloud.visionai_v1.types.lva_resources.Process
    ] = None,
    process_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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Process 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 visionai_v1

async def sample_create_process():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    process = visionai_v1.Process()
    process.analysis = "analysis_value"

    request = visionai_v1.CreateProcessRequest(
        parent="parent_value",
        process_id="process_id_value",
        process=process,
    )

    # Make the request
    operation = client.create_process(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.visionai_v1.types.CreateProcessRequest, dict]]` The request object. Message for creating a Process.
`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.
`process`	`Process` Required. The resource being created. This corresponds to the `process` field on the `request` instance; if `request` is provided, this should not be set.
`process_id`	`str` Required. Id of the requesting object. This corresponds to the `process_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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Process Message describing the Process object.

delete_analysis

delete_analysis(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.DeleteAnalysisRequest, 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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Analysis.

# 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 visionai_v1

async def sample_delete_analysis():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.DeleteAnalysisRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_analysis(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.visionai_v1.types.DeleteAnalysisRequest, dict]]` The request object. Message for deleting an Analysis.
`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, str]]` Strings which should be sent along with the request as metadata.

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, str]] = ()
) -> 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, str]]` Strings which should be sent along with the request as metadata.

delete_operator

delete_operator(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.DeleteOperatorRequest, 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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Operator.

# 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 visionai_v1

async def sample_delete_operator():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.DeleteOperatorRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_operator(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.visionai_v1.types.DeleteOperatorRequest, dict]]` The request object. Message for deleting a Operator
`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, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

delete_process

delete_process(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.DeleteProcessRequest, 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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Process.

# 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 visionai_v1

async def sample_delete_process():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.DeleteProcessRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_process(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.visionai_v1.types.DeleteProcessRequest, dict]]` The request object. Message for deleting a Process.
`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, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

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
`LiveVideoAnalyticsAsyncClient`	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
`LiveVideoAnalyticsAsyncClient`	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
`LiveVideoAnalyticsAsyncClient`	The constructed client.

get_analysis

get_analysis(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.GetAnalysisRequest, 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, str]] = ()
) -> google.cloud.visionai_v1.types.lva_resources.Analysis

Gets details of a single Analysis.

# 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 visionai_v1

async def sample_get_analysis():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.GetAnalysisRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.visionai_v1.types.GetAnalysisRequest, dict]]` The request object. Message for getting an Analysis.
`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, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.visionai_v1.types.Analysis`	Message describing the Analysis 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, str]] = ()
) -> 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, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.Operation`	An `Operation` object.

get_operator

get_operator(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.GetOperatorRequest, 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, str]] = ()
) -> google.cloud.visionai_v1.types.lva_resources.Operator

Gets details of a single Operator.

# 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 visionai_v1

async def sample_get_operator():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.GetOperatorRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.visionai_v1.types.GetOperatorRequest, dict]]` The request object. Message for getting a Operator.
`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, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.visionai_v1.types.Operator`	Message describing the Operator object.

get_process

get_process(
    request: typing.Optional[
        typing.Union[google.cloud.visionai_v1.types.lva_service.GetProcessRequest, 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, str]] = ()
) -> google.cloud.visionai_v1.types.lva_resources.Process

Gets details of a single Process.

# 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 visionai_v1

async def sample_get_process():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.GetProcessRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.visionai_v1.types.GetProcessRequest, dict]]` The request object. Message for getting a Process.
`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, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.visionai_v1.types.Process`	Message describing the Process object.

get_transport_class

get_transport_class(
    label: typing.Optional[str] = None,
) -> typing.Type[
    google.cloud.visionai_v1.services.live_video_analytics.transports.base.LiveVideoAnalyticsTransport
]

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_analyses

list_analyses(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.ListAnalysesRequest, 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, str]] = ()
) -> (
    google.cloud.visionai_v1.services.live_video_analytics.pagers.ListAnalysesAsyncPager
)

Lists Analyses 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 visionai_v1

async def sample_list_analyses():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.ListAnalysesRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.visionai_v1.types.ListAnalysesRequest, dict]]` The request object. Message for requesting list of Analyses
`parent`	`str` Required. Parent value for ListAnalysesRequest 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
Type	Description
`google.cloud.visionai_v1.services.live_video_analytics.pagers.ListAnalysesAsyncPager`	Message for response to listing Analyses Iterating over this object will yield results and resolve additional pages automatically.

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, str]] = ()
) -> 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, str]]` Strings which should be sent along with the request as metadata.

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

list_operators

list_operators(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.ListOperatorsRequest, 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, str]] = ()
) -> (
    google.cloud.visionai_v1.services.live_video_analytics.pagers.ListOperatorsAsyncPager
)

Lists Operators 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 visionai_v1

async def sample_list_operators():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.ListOperatorsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.visionai_v1.types.ListOperatorsRequest, dict]]` The request object. Message for requesting list of Operators.
`parent`	`str` Required. Parent value for ListOperatorsRequest. 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
Type	Description
`google.cloud.visionai_v1.services.live_video_analytics.pagers.ListOperatorsAsyncPager`	Message for response to listing Operators. Iterating over this object will yield results and resolve additional pages automatically.

list_processes

list_processes(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.ListProcessesRequest, 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, str]] = ()
) -> (
    google.cloud.visionai_v1.services.live_video_analytics.pagers.ListProcessesAsyncPager
)

Lists Processes 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 visionai_v1

async def sample_list_processes():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.ListProcessesRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.visionai_v1.types.ListProcessesRequest, dict]]` The request object. Message for requesting list of Processes.
`parent`	`str` Required. Parent value for ListProcessesRequest. 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
Type	Description
`google.cloud.visionai_v1.services.live_video_analytics.pagers.ListProcessesAsyncPager`	Message for response to listing Processes. Iterating over this object will yield results and resolve additional pages automatically.

list_public_operators

list_public_operators(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.ListPublicOperatorsRequest, 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, str]] = ()
) -> (
    google.cloud.visionai_v1.services.live_video_analytics.pagers.ListPublicOperatorsAsyncPager
)

ListPublicOperators returns all the operators in public registry.

# 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 visionai_v1

async def sample_list_public_operators():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.ListPublicOperatorsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.visionai_v1.types.ListPublicOperatorsRequest, dict]]` The request object. Request message of ListPublicOperatorsRequest API.
`parent`	`str` Required. Parent value for ListPublicOperatorsRequest. 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
Type	Description
`google.cloud.visionai_v1.services.live_video_analytics.pagers.ListPublicOperatorsAsyncPager`	Response message of ListPublicOperators API. Iterating over this object will yield results and resolve additional pages automatically.

operator_path

operator_path(project: str, location: str, operator: str) -> str

Returns a fully-qualified operator string.

parse_analysis_path

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

Parses a analysis path into its component segments.

parse_cluster_path

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

Parses a cluster 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_operator_path

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

Parses a operator path into its component segments.

parse_process_path

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

Parses a process path into its component segments.

process_path

process_path(project: str, location: str, cluster: str, process: str) -> str

Returns a fully-qualified process string.

resolve_operator_info

resolve_operator_info(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.ResolveOperatorInfoRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    queries: typing.Optional[
        typing.MutableSequence[google.cloud.visionai_v1.types.lva_service.OperatorQuery]
    ] = 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, str]] = ()
) -> google.cloud.visionai_v1.types.lva_service.ResolveOperatorInfoResponse

ResolveOperatorInfo returns the operator information based on the request.

# 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 visionai_v1

async def sample_resolve_operator_info():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    queries = visionai_v1.OperatorQuery()
    queries.operator = "operator_value"

    request = visionai_v1.ResolveOperatorInfoRequest(
        parent="parent_value",
        queries=queries,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.visionai_v1.types.ResolveOperatorInfoRequest, dict]]` The request object. Request message for querying operator info.
`parent`	`str` Required. Parent value for ResolveOperatorInfoRequest. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`queries`	`:class:MutableSequence[google.cloud.visionai_v1.types.OperatorQuery]` Required. The operator queries. This corresponds to the `queries` 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
Type	Description
`google.cloud.visionai_v1.types.ResolveOperatorInfoResponse`	Response message of ResolveOperatorInfo API.

update_analysis

update_analysis(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.UpdateAnalysisRequest, dict
        ]
    ] = None,
    *,
    analysis: typing.Optional[
        google.cloud.visionai_v1.types.lva_resources.Analysis
    ] = 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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Analysis.

# 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 visionai_v1

async def sample_update_analysis():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.UpdateAnalysisRequest(
    )

    # Make the request
    operation = client.update_analysis(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.visionai_v1.types.UpdateAnalysisRequest, dict]]` The request object. Message for updating an Analysis.
`analysis`	`Analysis` Required. The resource being updated. This corresponds to the `analysis` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the Analysis 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 will be overwritten. 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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Analysis Message describing the Analysis object.

update_operator

update_operator(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.UpdateOperatorRequest, dict
        ]
    ] = None,
    *,
    operator: typing.Optional[
        google.cloud.visionai_v1.types.lva_resources.Operator
    ] = 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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Operator.

# 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 visionai_v1

async def sample_update_operator():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1.UpdateOperatorRequest(
    )

    # Make the request
    operation = client.update_operator(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.visionai_v1.types.UpdateOperatorRequest, dict]]` The request object. Message for updating a Operator.
`operator`	`Operator` Required. The resource being updated This corresponds to the `operator` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the Operator 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 will be overwritten. 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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Operator Message describing the Operator object.

update_process

update_process(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1.types.lva_service.UpdateProcessRequest, dict
        ]
    ] = None,
    *,
    process: typing.Optional[
        google.cloud.visionai_v1.types.lva_resources.Process
    ] = 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, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Process.

# 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 visionai_v1

async def sample_update_process():
    # Create a client
    client = visionai_v1.LiveVideoAnalyticsAsyncClient()

    # Initialize request argument(s)
    process = visionai_v1.Process()
    process.analysis = "analysis_value"

    request = visionai_v1.UpdateProcessRequest(
        process=process,
    )

    # Make the request
    operation = client.update_process(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.visionai_v1.types.UpdateProcessRequest, dict]]` The request object. Message for updating a Process.
`process`	`Process` Required. The resource being updated. This corresponds to the `process` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the Process 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 will be overwritten. 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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Process Message describing the Process object.