Class StreamsServiceAsyncClient (0.1.5) 

StreamsServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.visionai_v1alpha1.services.streams_service.transports.base.StreamsServiceTransport, typing.Callable[[...], google.cloud.visionai_v1alpha1.services.streams_service.transports.base.StreamsServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service describing handlers for resources. Vision API and Vision AI API are two independent APIs developed by the same team. Vision API is for people to annotate their image while Vision AI is an e2e solution for customer to build their own computer vision application.

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
StreamsServiceTransport 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

StreamsServiceAsyncClient

StreamsServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.visionai_v1alpha1.services.streams_service.transports.base.StreamsServiceTransport, typing.Callable[[...], google.cloud.visionai_v1alpha1.services.streams_service.transports.base.StreamsServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the streams service async client.

Parameters
Name Description
credentials Optional[google.auth.credentials.Credentials]

The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport Optional[Union[str,StreamsServiceTransport,Callable[..., StreamsServiceTransport]]]

The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the StreamsServiceTransport constructor. If set to None, a transport is chosen automatically.
client_options Optional[Union[google.api_core.client_options.ClientOptions, dict]]

Custom options for the client. 1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The universe_domain property can be used to override the default "googleapis.com" universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info google.api_core.gapic_v1.client_info.ClientInfo

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

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name Description
request .operations_pb2.CancelOperationRequest

The request object. Request message for CancelOperation method.
retry google.api_core.retry_async.AsyncRetry

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

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

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

channel_path

channel_path(project: str, location: str, cluster: str, channel: str) -> str

Returns a fully-qualified channel string.

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_cluster

create_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.CreateClusterRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    cluster: typing.Optional[
        google.cloud.visionai_v1alpha1.types.common.Cluster
    ] = None,
    cluster_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Cluster 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

async def sample_create_cluster():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.CreateClusterRequest(
        parent="parent_value",
        cluster_id="cluster_id_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.CreateClusterRequest, dict]]

The request object. Message for creating a Cluster.
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.
cluster Cluster

Required. The resource being created. This corresponds to the cluster field on the request instance; if request is provided, this should not be set.
cluster_id str

Required. Id of the requesting object. This corresponds to the cluster_id field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

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

create_event

create_event(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.CreateEventRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    event: typing.Optional[
        google.cloud.visionai_v1alpha1.types.streams_resources.Event
    ] = None,
    event_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Event 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

async def sample_create_event():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.CreateEventRequest(
        parent="parent_value",
        event_id="event_id_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.CreateEventRequest, dict]]

The request object. Message for creating a Event.
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.
event Event

Required. The resource being created. This corresponds to the event field on the request instance; if request is provided, this should not be set.
event_id str

Required. Id of the requesting object. This corresponds to the event_id field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

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

create_series

create_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.CreateSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    series: typing.Optional[
        google.cloud.visionai_v1alpha1.types.streams_resources.Series
    ] = None,
    series_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Series 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

async def sample_create_series():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    series = visionai_v1alpha1.Series()
    series.stream = "stream_value"
    series.event = "event_value"

    request = visionai_v1alpha1.CreateSeriesRequest(
        parent="parent_value",
        series_id="series_id_value",
        series=series,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.CreateSeriesRequest, dict]]

The request object. Message for creating a Series.
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.
series Series

Required. The resource being created. This corresponds to the series field on the request instance; if request is provided, this should not be set.
series_id str

Required. Id of the requesting object. This corresponds to the series_id field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

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

create_stream

create_stream(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.CreateStreamRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    stream: typing.Optional[
        google.cloud.visionai_v1alpha1.types.streams_resources.Stream
    ] = None,
    stream_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Stream 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

async def sample_create_stream():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.CreateStreamRequest(
        parent="parent_value",
        stream_id="stream_id_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.CreateStreamRequest, dict]]

The request object. Message for creating a Stream.
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.
stream Stream

Required. The resource being created. This corresponds to the stream field on the request instance; if request is provided, this should not be set.
stream_id str

Required. Id of the requesting object. This corresponds to the stream_id field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be Stream Message describing the Stream object. The Stream and the Event resources are many to many; i.e., each Stream resource can associate to many Event resources and each Event resource can associate to many Stream resources.

delete_cluster

delete_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.DeleteClusterRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Cluster.

# 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

async def sample_delete_cluster():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.DeleteClusterRequest, dict]]

The request object. Message for deleting a Cluster.
name str

Required. Name of the resource This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

delete_event

delete_event(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.DeleteEventRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Event.

# 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

async def sample_delete_event():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.DeleteEventRequest, dict]]

The request object. Message for deleting a Event.
name str

Required. Name of the resource. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name Description
request .operations_pb2.DeleteOperationRequest

The request object. Request message for DeleteOperation method.
retry google.api_core.retry_async.AsyncRetry

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

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

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

delete_series

delete_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.DeleteSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Series.

# 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

async def sample_delete_series():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.DeleteSeriesRequest, dict]]

The request object. Message for deleting a Series.
name str

Required. Name of the resource. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

delete_stream

delete_stream(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.DeleteStreamRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Stream.

# 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

async def sample_delete_stream():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.DeleteStreamRequest, dict]]

The request object. Message for deleting a Stream.
name str

Required. Name of the resource. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

event_path

event_path(project: str, location: str, cluster: str, event: str) -> str

Returns a fully-qualified event string.

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
StreamsServiceAsyncClient 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
StreamsServiceAsyncClient 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
StreamsServiceAsyncClient The constructed client.

generate_stream_hls_token

generate_stream_hls_token(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.GenerateStreamHlsTokenRequest,
            dict,
        ]
    ] = None,
    *,
    stream: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.visionai_v1alpha1.types.streams_service.GenerateStreamHlsTokenResponse
)

Generate the JWT auth token required to get the stream HLS contents.

# 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

async def sample_generate_stream_hls_token():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.GenerateStreamHlsTokenRequest(
        stream="stream_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.GenerateStreamHlsTokenRequest, dict]]

The request object. Request message for getting the auth token to access the stream HLS contents.
stream str

Required. The name of the stream. This corresponds to the stream field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1alpha1.types.GenerateStreamHlsTokenResponse Response message for GenerateStreamHlsToken.

get_cluster

get_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.GetClusterRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1alpha1.types.common.Cluster

Gets details of a single Cluster.

# 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

async def sample_get_cluster():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.GetClusterRequest, dict]]

The request object. Message for getting a Cluster.
name str

Required. Name of the resource. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1alpha1.types.Cluster Message describing the Cluster object.

get_event

get_event(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.GetEventRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1alpha1.types.streams_resources.Event

Gets details of a single Event.

# 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

async def sample_get_event():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.GetEventRequest, dict]]

The request object. Message for getting a Event.
name str

Required. Name of the resource. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1alpha1.types.Event Message describing the Event object.

get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

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

Parameters
Name Description
request .iam_policy_pb2.GetIamPolicyRequest

The request object. Request message for GetIamPolicy method.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
.policy_pb2.Policy Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ]="" }="" **yaml="" example**="" ::="" bindings:="" -="" members:="" -="" user:mike@example.com="" -="" group:admins@example.com="" -="" domain:google.com="" -="" serviceaccount:my-project-id@appspot.gserviceaccount.com="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:eve@example.com="" role:="" roles/resourcemanager.organizationviewer="" condition:="" title:="" expirable="" access="" description:="" does="" not="" grant="" access="" after="" sep="" 2020="" expression:="" request.time="">< timestamp('2020-10-01t00:00:00.000z')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="">IAM developer's guide __.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name Description
request .location_pb2.GetLocationRequest

The request object. Request message for GetLocation method.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
.location_pb2.Location Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

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

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

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

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

Parameter
Name Description
client_options google.api_core.client_options.ClientOptions

Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.
Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If any errors happen.
Returns
Type Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]] returns the API endpoint and the client cert source to use.

get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name Description
request .operations_pb2.GetOperationRequest

The request object. Request message for GetOperation method.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
.operations_pb2.Operation An Operation object.

get_series

get_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.GetSeriesRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1alpha1.types.streams_resources.Series

Gets details of a single Series.

# 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

async def sample_get_series():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.GetSeriesRequest, dict]]

The request object. Message for getting a Series.
name str

Required. Name of the resource. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1alpha1.types.Series Message describing the Series object.

get_stream

get_stream(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.GetStreamRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1alpha1.types.streams_resources.Stream

Gets details of a single Stream.

# 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

async def sample_get_stream():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.GetStreamRequest, dict]]

The request object. Message for getting a Stream.
name str

Required. Name of the resource. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1alpha1.types.Stream Message describing the Stream object. The Stream and the Event resources are many to many; i.e., each Stream resource can associate to many Event resources and each Event resource can associate to many Stream resources.

get_transport_class

get_transport_class(
    label: typing.Optional[str] = None,
) -> typing.Type[
    google.cloud.visionai_v1alpha1.services.streams_service.transports.base.StreamsServiceTransport
]

Returns an appropriate transport class.

Parameter
Name Description
label typing.Optional[str]

The name of the desired transport. If none is provided, then the first transport in the registry is used.

list_clusters

list_clusters(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.ListClustersRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.visionai_v1alpha1.services.streams_service.pagers.ListClustersAsyncPager
)

Lists Clusters 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

async def sample_list_clusters():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.ListClustersRequest, dict]]

The request object. Message for requesting list of Clusters.
parent str

Required. Parent value for ListClustersRequest. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1alpha1.services.streams_service.pagers.ListClustersAsyncPager Message for response to listing Clusters. Iterating over this object will yield results and resolve additional pages automatically.

list_events

list_events(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.ListEventsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.visionai_v1alpha1.services.streams_service.pagers.ListEventsAsyncPager
)

Lists Events 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

async def sample_list_events():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.ListEventsRequest, dict]]

The request object. Message for requesting list of Events.
parent str

Required. Parent value for ListEventsRequest. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1alpha1.services.streams_service.pagers.ListEventsAsyncPager Message for response to listing Events. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name Description
request .location_pb2.ListLocationsRequest

The request object. Request message for ListLocations method.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
.location_pb2.ListLocationsResponse Response message for ListLocations method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name Description
request .operations_pb2.ListOperationsRequest

The request object. Request message for ListOperations method.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
.operations_pb2.ListOperationsResponse Response message for ListOperations method.

list_series

list_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.ListSeriesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.visionai_v1alpha1.services.streams_service.pagers.ListSeriesAsyncPager
)

Lists Series 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

async def sample_list_series():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.ListSeriesRequest, dict]]

The request object. Message for requesting list of Series.
parent str

Required. Parent value for ListSeriesRequest. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1alpha1.services.streams_service.pagers.ListSeriesAsyncPager Message for response to listing Series. Iterating over this object will yield results and resolve additional pages automatically.

list_streams

list_streams(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.ListStreamsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.visionai_v1alpha1.services.streams_service.pagers.ListStreamsAsyncPager
)

Lists Streams 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

async def sample_list_streams():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

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

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.ListStreamsRequest, dict]]

The request object. Message for requesting list of Streams.
parent str

Required. Parent value for ListStreamsRequest. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.cloud.visionai_v1alpha1.services.streams_service.pagers.ListStreamsAsyncPager Message for response to listing Streams. Iterating over this object will yield results and resolve additional pages automatically.

materialize_channel

materialize_channel(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.MaterializeChannelRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    channel: typing.Optional[
        google.cloud.visionai_v1alpha1.types.streams_resources.Channel
    ] = None,
    channel_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Materialize a channel.

# 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

async def sample_materialize_channel():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    channel = visionai_v1alpha1.Channel()
    channel.stream = "stream_value"
    channel.event = "event_value"

    request = visionai_v1alpha1.MaterializeChannelRequest(
        parent="parent_value",
        channel_id="channel_id_value",
        channel=channel,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.MaterializeChannelRequest, dict]]

The request object. Message for materializing a channel.
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.
channel Channel

Required. The resource being created. This corresponds to the channel field on the request instance; if request is provided, this should not be set.
channel_id str

Required. Id of the channel. This corresponds to the channel_id field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

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

parse_channel_path

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

Parses a channel 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_event_path

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

Parses a event path into its component segments.

parse_series_path

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

Parses a series path into its component segments.

parse_stream_path

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

Parses a stream path into its component segments.

series_path

series_path(project: str, location: str, cluster: str, series: str) -> str

Returns a fully-qualified series string.

set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters
Name Description
request .iam_policy_pb2.SetIamPolicyRequest

The request object. Request message for SetIamPolicy method.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
.policy_pb2.Policy Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ]="" }="" **yaml="" example**="" ::="" bindings:="" -="" members:="" -="" user:mike@example.com="" -="" group:admins@example.com="" -="" domain:google.com="" -="" serviceaccount:my-project-id@appspot.gserviceaccount.com="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:eve@example.com="" role:="" roles/resourcemanager.organizationviewer="" condition:="" title:="" expirable="" access="" description:="" does="" not="" grant="" access="" after="" sep="" 2020="" expression:="" request.time="">< timestamp('2020-10-01t00:00:00.000z')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="">IAM developer's guide __.

stream_path

stream_path(project: str, location: str, cluster: str, stream: str) -> str

Returns a fully-qualified stream string.

test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

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.

Parameters
Name Description
request .iam_policy_pb2.TestIamPermissionsRequest

The request object. Request message for TestIamPermissions method.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
.iam_policy_pb2.TestIamPermissionsResponse Response message for TestIamPermissions method.

update_cluster

update_cluster(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.UpdateClusterRequest,
            dict,
        ]
    ] = None,
    *,
    cluster: typing.Optional[
        google.cloud.visionai_v1alpha1.types.common.Cluster
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Cluster.

# 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

async def sample_update_cluster():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.UpdateClusterRequest(
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.UpdateClusterRequest, dict]]

The request object. Message for updating a Cluster.
cluster Cluster

Required. The resource being updated This corresponds to the cluster 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 Cluster resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

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

update_event

update_event(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.UpdateEventRequest,
            dict,
        ]
    ] = None,
    *,
    event: typing.Optional[
        google.cloud.visionai_v1alpha1.types.streams_resources.Event
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Event.

# 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

async def sample_update_event():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.UpdateEventRequest(
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.UpdateEventRequest, dict]]

The request object. Message for updating a Event.
event Event

Required. The resource being updated. This corresponds to the event 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 Event resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

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

update_series

update_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.UpdateSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    series: typing.Optional[
        google.cloud.visionai_v1alpha1.types.streams_resources.Series
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Event.

# 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

async def sample_update_series():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    series = visionai_v1alpha1.Series()
    series.stream = "stream_value"
    series.event = "event_value"

    request = visionai_v1alpha1.UpdateSeriesRequest(
        series=series,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.UpdateSeriesRequest, dict]]

The request object. Message for updating a Series.
series Series

Required. The resource being updated This corresponds to the series 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 Series resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

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

update_stream

update_stream(
    request: typing.Optional[
        typing.Union[
            google.cloud.visionai_v1alpha1.types.streams_service.UpdateStreamRequest,
            dict,
        ]
    ] = None,
    *,
    stream: typing.Optional[
        google.cloud.visionai_v1alpha1.types.streams_resources.Stream
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Stream.

# 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

async def sample_update_stream():
    # Create a client
    client = visionai_v1alpha1.StreamsServiceAsyncClient()

    # Initialize request argument(s)
    request = visionai_v1alpha1.UpdateStreamRequest(
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.visionai_v1alpha1.types.UpdateStreamRequest, dict]]

The request object. Message for updating a Stream.
stream Stream

Required. The resource being updated. This corresponds to the stream 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 Stream resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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

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

Strings which should be sent along with the request as metadata.
Returns
Type Description
google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be Stream Message describing the Stream object. The Stream and the Event resources are many to many; i.e., each Stream resource can associate to many Event resources and each Event resource can associate to many Stream resources.