Class LiveVideoAnalyticsClient (0.1.4) 

LiveVideoAnalyticsClient(*, 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]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

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

LiveVideoAnalyticsClient

LiveVideoAnalyticsClient(*, 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]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the live video analytics 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. 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 the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info google.api_core.gapic_v1.client_info.ClientInfo

The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own client library.
Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

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.Retry,
            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.Operation

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request 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 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation 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.Retry,
            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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

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.Retry,
            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.Operation

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request 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 google.cloud.visionai_v1.types.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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation 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.Retry,
            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.Operation

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request 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 google.cloud.visionai_v1.types.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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation 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.Retry,
            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.Operation

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request 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 google.cloud.visionai_v1.types.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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation 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.Retry,
            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.Operation

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation 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.Retry,
            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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

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.Retry,
            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.Operation

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation 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_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.Retry,
            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.Operation

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation 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); }

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
LiveVideoAnalyticsClient 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
LiveVideoAnalyticsClient 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
LiveVideoAnalyticsClient 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.Retry,
            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

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

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
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,
)

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

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.Retry,
            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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
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.Retry,
            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

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

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
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.Retry,
            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

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

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1.types.Process Message describing the Process object.

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.Retry,
            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.ListAnalysesPager

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

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

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

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1.services.live_video_analytics.pagers.ListAnalysesPager 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.Retry,
            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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
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.Retry,
            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.ListOperatorsPager

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

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

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

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1.services.live_video_analytics.pagers.ListOperatorsPager 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.Retry,
            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.ListProcessesPager

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

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

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

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1.services.live_video_analytics.pagers.ListProcessesPager 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.Retry,
            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.ListPublicOperatorsPager
)

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

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

    # 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
    for response in page_result:
        print(response)
Parameters
Name Description
request 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1.services.live_video_analytics.pagers.ListPublicOperatorsPager 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.Retry,
            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

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

    # 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 = client.resolve_operator_info(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request 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 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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
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.Retry,
            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.Operation

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.visionai_v1.types.UpdateAnalysisRequest, dict]

The request object. Message for updating an Analysis.
analysis google.cloud.visionai_v1.types.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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation 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.Retry,
            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.Operation

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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.visionai_v1.types.UpdateOperatorRequest, dict]

The request object. Message for updating a Operator.
operator google.cloud.visionai_v1.types.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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation 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.Retry,
            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.Operation

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.visionai_v1.types.UpdateProcessRequest, dict]

The request object. Message for updating a Process.
process google.cloud.visionai_v1.types.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.Retry

Designation of what errors, if any, should be retried.
timeout float

The timeout for this request.
metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Process Message describing the Process object.