Class AppPlatformClient (0.1.0)

Service describing handlers for resources

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 app platform client.

Releases underlying transport's resources.

Adds target stream input to the Application. If the Application is deployed, the corresponding new Application instance will be created. If the stream has already been in the Application, the RPC will fail.

# 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_v1alpha1

def sample_add_application_stream_input():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.AddApplicationStreamInputRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Returns a fully-qualified application string.

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 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 Application 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_v1alpha1

def sample_create_application():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    application = visionai_v1alpha1.Application()
    application.display_name = "display_name_value"

    request = visionai_v1alpha1.CreateApplicationRequest(
        parent="parent_value",
        application_id="application_id_value",
        application=application,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Adds target stream input to the Application. If the Application is deployed, the corresponding new Application instance will be created. If the stream has already been in the Application, the RPC will fail.

# 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_v1alpha1

def sample_create_application_instances():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    application_instances = visionai_v1alpha1.ApplicationInstance()
    application_instances.instance_id = "instance_id_value"
    application_instances.instance.display_name = "display_name_value"

    request = visionai_v1alpha1.CreateApplicationInstancesRequest(
        name="name_value",
        application_instances=application_instances,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Creates a new Draft 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_v1alpha1

def sample_create_draft():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    draft = visionai_v1alpha1.Draft()
    draft.display_name = "display_name_value"

    request = visionai_v1alpha1.CreateDraftRequest(
        parent="parent_value",
        draft_id="draft_id_value",
        draft=draft,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Creates a new Processor 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_v1alpha1

def sample_create_processor():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    processor = visionai_v1alpha1.Processor()
    processor.display_name = "display_name_value"

    request = visionai_v1alpha1.CreateProcessorRequest(
        parent="parent_value",
        processor_id="processor_id_value",
        processor=processor,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deletes a single Application.

# 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_v1alpha1

def sample_delete_application():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.DeleteApplicationRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Remove target stream input to the Application, if the Application is deployed, the corresponding instance based will be deleted. If the stream is not in the Application, the RPC will fail.

# 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_v1alpha1

def sample_delete_application_instances():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.DeleteApplicationInstancesRequest(
        name="name_value",
        instance_ids=['instance_ids_value1', 'instance_ids_value2'],
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deletes a single Draft.

# 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_v1alpha1

def sample_delete_draft():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.DeleteDraftRequest(
        name="name_value",
    )

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

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

    response = 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 Processor.

# 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_v1alpha1

def sample_delete_processor():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.DeleteProcessorRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deploys a single Application.

# 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_v1alpha1

def sample_deploy_application():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.DeployApplicationRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Returns a fully-qualified draft string.

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 Application.

# 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_v1alpha1

def sample_get_application():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.GetApplicationRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets details of a single Draft.

# 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_v1alpha1

def sample_get_draft():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.GetDraftRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Gets details of a single Instance.

# 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_v1alpha1

def sample_get_instance():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.GetInstanceRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets information about a location.

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.

Gets the latest state of a long-running operation.

Gets details of a single Processor.

# 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_v1alpha1

def sample_get_processor():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.GetProcessorRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Returns a fully-qualified instance string.

Lists Applications 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_v1alpha1

def sample_list_applications():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.ListApplicationsRequest(
        parent="parent_value",
    )

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

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

Lists Drafts 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_v1alpha1

def sample_list_drafts():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.ListDraftsRequest(
        parent="parent_value",
    )

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

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

Lists Instances 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_v1alpha1

def sample_list_instances():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.ListInstancesRequest(
        parent="parent_value",
    )

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

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

Lists information about the supported locations for this service.

Lists operations that match the specified filter in the request.

ListPrebuiltProcessors is a custom pass-through verb that Lists Prebuilt Processors.

# 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_v1alpha1

def sample_list_prebuilt_processors():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.ListPrebuiltProcessorsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Lists Processors 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_v1alpha1

def sample_list_processors():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.ListProcessorsRequest(
        parent="parent_value",
    )

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

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

Parses a application 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 draft path into its component segments.

Parses a instance path into its component segments.

Parses a processor path into its component segments.

Parses a stream path into its component segments.

Returns a fully-qualified processor string.

Remove target stream input to the Application, if the Application is deployed, the corresponding instance based will be deleted. If the stream is not in the Application, the RPC will fail.

# 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_v1alpha1

def sample_remove_application_stream_input():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.RemoveApplicationStreamInputRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Returns a fully-qualified stream string.

Tests the specified IAM permissions against the IAM access control policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Undeploys a single Application.

# 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_v1alpha1

def sample_undeploy_application():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.UndeployApplicationRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Updates the parameters of a single Application.

# 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_v1alpha1

def sample_update_application():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    application = visionai_v1alpha1.Application()
    application.display_name = "display_name_value"

    request = visionai_v1alpha1.UpdateApplicationRequest(
        application=application,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Adds target stream input to the Application. If the Application is deployed, the corresponding new Application instance will be created. If the stream has already been in the Application, the RPC will fail.

# 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_v1alpha1

def sample_update_application_instances():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.UpdateApplicationInstancesRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Update target stream input to the Application, if the Application is deployed, the corresponding instance based will be deployed. For CreateOrUpdate behavior, set allow_missing to true.

# 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_v1alpha1

def sample_update_application_stream_input():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.UpdateApplicationStreamInputRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Updates the parameters of a single Draft.

# 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_v1alpha1

def sample_update_draft():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    draft = visionai_v1alpha1.Draft()
    draft.display_name = "display_name_value"

    request = visionai_v1alpha1.UpdateDraftRequest(
        draft=draft,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Updates the parameters of a single Processor.

# 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_v1alpha1

def sample_update_processor():
    # Create a client
    client = visionai_v1alpha1.AppPlatformClient()

    # Initialize request argument(s)
    processor = visionai_v1alpha1.Processor()
    processor.display_name = "display_name_value"

    request = visionai_v1alpha1.UpdateProcessorRequest(
        processor=processor,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)