Class LiveVideoAnalyticsAsyncClient (0.1.0)

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

Return the API endpoint used by the client instance.

Returns the transport used by the client instance.

Return the universe domain used by the client instance.

Instantiates the live video analytics async client.

Returns a fully-qualified analysis string.

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)

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.

Returns a fully-qualified cluster string.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

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)

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)

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)

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)

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.

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)

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)

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

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

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

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)

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.

Gets the latest state of a long-running operation.

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)

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)

Returns an appropriate transport class.

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)

Lists operations that match the specified filter in the request.

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)

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)

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)

Returns a fully-qualified operator string.

Parses a analysis path into its component segments.

Parses a cluster path into its component segments.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a operator path into its component segments.

Parses a process path into its component segments.

Returns a fully-qualified process string.

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)

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)

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)

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)