StreamsServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.visionai_v1.services.streams_service.transports.base.StreamsServiceTransport, typing.Callable[[...], google.cloud.visionai_v1.services.streams_service.transports.base.StreamsServiceTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Service describing handlers for resources. 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
StreamsServiceClient
StreamsServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.visionai_v1.services.streams_service.transports.base.StreamsServiceTransport, typing.Callable[[...], google.cloud.visionai_v1.services.streams_service.transports.base.StreamsServiceTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the streams service 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. 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 |
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 |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError |
If mutual TLS transport creation failed for any reason. |
__exit__
__exit__(type, value, traceback)
Releases underlying transport's resources.
cancel_operation
cancel_operation(
request: typing.Optional[
google.longrunning.operations_pb2.CancelOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None
Starts asynchronous cancellation on a long-running operation.
The server makes a best effort to cancel the operation, but success
is not guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
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_v1.types.streams_service.CreateClusterRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
cluster: typing.Optional[google.cloud.visionai_v1.types.common.Cluster] = None,
cluster_id: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Creates a new 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_v1
def sample_create_cluster():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.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 = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.CreateClusterRequest, dict]
The request object. Message for creating a Cluster. |
parent |
str
Required. Value for parent. This corresponds to the |
cluster |
google.cloud.visionai_v1.types.Cluster
Required. The resource being created. This corresponds to the |
cluster_id |
str
Required. Id of the requesting object. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be Cluster Message describing the Cluster object. |
create_event
create_event(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.CreateEventRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
event: typing.Optional[
google.cloud.visionai_v1.types.streams_resources.Event
] = None,
event_id: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Creates a new 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_v1
def sample_create_event():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.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 = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.CreateEventRequest, dict]
The request object. Message for creating a Event. |
parent |
str
Required. Value for parent. This corresponds to the |
event |
google.cloud.visionai_v1.types.Event
Required. The resource being created. This corresponds to the |
event_id |
str
Required. Id of the requesting object. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be Event Message describing the Event object. |
create_series
create_series(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.CreateSeriesRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
series: typing.Optional[
google.cloud.visionai_v1.types.streams_resources.Series
] = None,
series_id: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Creates a new 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_v1
def sample_create_series():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
series = visionai_v1.Series()
series.stream = "stream_value"
series.event = "event_value"
request = visionai_v1.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 = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.CreateSeriesRequest, dict]
The request object. Message for creating a Series. |
parent |
str
Required. Value for parent. This corresponds to the |
series |
google.cloud.visionai_v1.types.Series
Required. The resource being created. This corresponds to the |
series_id |
str
Required. Id of the requesting object. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be Series Message describing the Series object. |
create_stream
create_stream(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.CreateStreamRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
stream: typing.Optional[
google.cloud.visionai_v1.types.streams_resources.Stream
] = None,
stream_id: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Creates a new 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_v1
def sample_create_stream():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.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 = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.CreateStreamRequest, dict]
The request object. Message for creating a Stream. |
parent |
str
Required. Value for parent. This corresponds to the |
stream |
google.cloud.visionai_v1.types.Stream
Required. The resource being created. This corresponds to the |
stream_id |
str
Required. Id of the requesting object. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be 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_v1.types.streams_service.DeleteClusterRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Deletes a single 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_v1
def sample_delete_cluster():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.DeleteClusterRequest(
name="name_value",
)
# Make the request
operation = client.delete_cluster(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.DeleteClusterRequest, dict]
The request object. Message for deleting a Cluster. |
name |
str
Required. Name of the resource This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delete_event
delete_event(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.DeleteEventRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Deletes a single 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_v1
def sample_delete_event():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.DeleteEventRequest(
name="name_value",
)
# Make the request
operation = client.delete_event(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.DeleteEventRequest, dict]
The request object. Message for deleting a Event. |
name |
str
Required. Name of the resource. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delete_operation
delete_operation(
request: typing.Optional[
google.longrunning.operations_pb2.DeleteOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None
Deletes a long-running operation.
This method indicates that the client is no longer interested
in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
delete_series
delete_series(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.DeleteSeriesRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Deletes a single 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_v1
def sample_delete_series():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.DeleteSeriesRequest(
name="name_value",
)
# Make the request
operation = client.delete_series(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.DeleteSeriesRequest, dict]
The request object. Message for deleting a Series. |
name |
str
Required. Name of the resource. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delete_stream
delete_stream(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.DeleteStreamRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Deletes a single 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_v1
def sample_delete_stream():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.DeleteStreamRequest(
name="name_value",
)
# Make the request
operation = client.delete_stream(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.DeleteStreamRequest, dict]
The request object. Message for deleting a Stream. |
name |
str
Required. Name of the resource. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
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 |
StreamsServiceClient |
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 |
StreamsServiceClient |
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 |
StreamsServiceClient |
The constructed client. |
generate_stream_hls_token
generate_stream_hls_token(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.GenerateStreamHlsTokenRequest,
dict,
]
] = None,
*,
stream: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1.types.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_v1
def sample_generate_stream_hls_token():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.GenerateStreamHlsTokenRequest(
stream="stream_value",
)
# Make the request
response = client.generate_stream_hls_token(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.visionai_v1.types.GenerateStreamHlsTokenResponse |
Response message for GenerateStreamHlsToken. |
get_cluster
get_cluster(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.GetClusterRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1.types.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_v1
def sample_get_cluster():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.GetClusterRequest(
name="name_value",
)
# Make the request
response = client.get_cluster(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.GetClusterRequest, dict]
The request object. Message for getting a Cluster. |
name |
str
Required. Name of the resource. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.visionai_v1.types.Cluster |
Message describing the Cluster object. |
get_event
get_event(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.GetEventRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1.types.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_v1
def sample_get_event():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.GetEventRequest(
name="name_value",
)
# Make the request
response = client.get_event(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.GetEventRequest, dict]
The request object. Message for getting a Event. |
name |
str
Required. Name of the resource. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.visionai_v1.types.Event |
Message describing the Event object. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: typing.Optional[
google.api_core.client_options.ClientOptions
] = None,
)
Deprecated. Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is not "true", the
client cert source is None.
(2) if client_options.client_cert_source
is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if client_options.api_endpoint
if provided, use the provided one.
(2) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is "always", use the
default mTLS endpoint; if the environment variable is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Parameter | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError |
If any errors happen. |
Returns | |
---|---|
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] |
returns the API endpoint and the client cert source to use. |
get_operation
get_operation(
request: typing.Optional[
google.longrunning.operations_pb2.GetOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation
Gets the latest state of a long-running operation.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
|
An Operation object. |
get_series
get_series(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.GetSeriesRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1.types.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_v1
def sample_get_series():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.GetSeriesRequest(
name="name_value",
)
# Make the request
response = client.get_series(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.GetSeriesRequest, dict]
The request object. Message for getting a Series. |
name |
str
Required. Name of the resource. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.visionai_v1.types.Series |
Message describing the Series object. |
get_stream
get_stream(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.GetStreamRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1.types.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_v1
def sample_get_stream():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.GetStreamRequest(
name="name_value",
)
# Make the request
response = client.get_stream(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.GetStreamRequest, dict]
The request object. Message for getting a Stream. |
name |
str
Required. Name of the resource. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.visionai_v1.types.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_stream_thumbnail
get_stream_thumbnail(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.GetStreamThumbnailRequest,
dict,
]
] = None,
*,
stream: typing.Optional[str] = None,
gcs_object_name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Gets the thumbnail (image snapshot) 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_v1
def sample_get_stream_thumbnail():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.GetStreamThumbnailRequest(
stream="stream_value",
gcs_object_name="gcs_object_name_value",
)
# Make the request
operation = client.get_stream_thumbnail(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.GetStreamThumbnailRequest, dict]
The request object. Message for getting the thumbnail of a Stream. |
stream |
str
Required. The name of the stream for to get the thumbnail from. This corresponds to the |
gcs_object_name |
str
Required. The name of the GCS object to store the thumbnail image. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be GetStreamThumbnailResponse Message for the response of GetStreamThumbnail. The empty response message indicates the thumbnail image has been uploaded to GCS successfully. |
list_clusters
list_clusters(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.ListClustersRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1.services.streams_service.pagers.ListClustersPager
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_v1
def sample_list_clusters():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.ListClustersRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_clusters(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.ListClustersRequest, dict]
The request object. Message for requesting list of Clusters. |
parent |
str
Required. Parent value for ListClustersRequest. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.visionai_v1.services.streams_service.pagers.ListClustersPager |
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_v1.types.streams_service.ListEventsRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1.services.streams_service.pagers.ListEventsPager
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_v1
def sample_list_events():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.ListEventsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_events(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.ListEventsRequest, dict]
The request object. Message for requesting list of Events. |
parent |
str
Required. Parent value for ListEventsRequest. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.visionai_v1.services.streams_service.pagers.ListEventsPager |
Message for response to listing Events. Iterating over this object will yield results and resolve additional pages automatically. |
list_operations
list_operations(
request: typing.Optional[
google.longrunning.operations_pb2.ListOperationsRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse
Lists operations that match the specified filter in the request.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
|
Response message for ListOperations method. |
list_series
list_series(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.ListSeriesRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1.services.streams_service.pagers.ListSeriesPager
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_v1
def sample_list_series():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.ListSeriesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_series(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.ListSeriesRequest, dict]
The request object. Message for requesting list of Series. |
parent |
str
Required. Parent value for ListSeriesRequest. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.visionai_v1.services.streams_service.pagers.ListSeriesPager |
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_v1.types.streams_service.ListStreamsRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.visionai_v1.services.streams_service.pagers.ListStreamsPager
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_v1
def sample_list_streams():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.ListStreamsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_streams(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.ListStreamsRequest, dict]
The request object. Message for requesting list of Streams. |
parent |
str
Required. Parent value for ListStreamsRequest. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.visionai_v1.services.streams_service.pagers.ListStreamsPager |
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_v1.types.streams_service.MaterializeChannelRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
channel: typing.Optional[
google.cloud.visionai_v1.types.streams_resources.Channel
] = None,
channel_id: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
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_v1
def sample_materialize_channel():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
channel = visionai_v1.Channel()
channel.stream = "stream_value"
channel.event = "event_value"
request = visionai_v1.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 = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.MaterializeChannelRequest, dict]
The request object. Message for materializing a channel. |
parent |
str
Required. Value for parent. This corresponds to the |
channel |
google.cloud.visionai_v1.types.Channel
Required. The resource being created. This corresponds to the |
channel_id |
str
Required. Id of the channel. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be 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.
stream_path
stream_path(project: str, location: str, cluster: str, stream: str) -> str
Returns a fully-qualified stream string.
update_cluster
update_cluster(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.UpdateClusterRequest, dict
]
] = None,
*,
cluster: typing.Optional[google.cloud.visionai_v1.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.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Updates the parameters of a single 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_v1
def sample_update_cluster():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.UpdateClusterRequest(
)
# Make the request
operation = client.update_cluster(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.UpdateClusterRequest, dict]
The request object. Message for updating a Cluster. |
cluster |
google.cloud.visionai_v1.types.Cluster
Required. The resource being updated This corresponds to the |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be Cluster Message describing the Cluster object. |
update_event
update_event(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.UpdateEventRequest, dict
]
] = None,
*,
event: typing.Optional[
google.cloud.visionai_v1.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.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Updates the parameters of a single 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_v1
def sample_update_event():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.UpdateEventRequest(
)
# Make the request
operation = client.update_event(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.UpdateEventRequest, dict]
The request object. Message for updating a Event. |
event |
google.cloud.visionai_v1.types.Event
Required. The resource being updated. This corresponds to the |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be Event Message describing the Event object. |
update_series
update_series(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.UpdateSeriesRequest, dict
]
] = None,
*,
series: typing.Optional[
google.cloud.visionai_v1.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.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Updates the parameters of a single 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_v1
def sample_update_series():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
series = visionai_v1.Series()
series.stream = "stream_value"
series.event = "event_value"
request = visionai_v1.UpdateSeriesRequest(
series=series,
)
# Make the request
operation = client.update_series(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.UpdateSeriesRequest, dict]
The request object. Message for updating a Series. |
series |
google.cloud.visionai_v1.types.Series
Required. The resource being updated This corresponds to the |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be Series Message describing the Series object. |
update_stream
update_stream(
request: typing.Optional[
typing.Union[
google.cloud.visionai_v1.types.streams_service.UpdateStreamRequest, dict
]
] = None,
*,
stream: typing.Optional[
google.cloud.visionai_v1.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.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation
Updates the parameters of a single 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_v1
def sample_update_stream():
# Create a client
client = visionai_v1.StreamsServiceClient()
# Initialize request argument(s)
request = visionai_v1.UpdateStreamRequest(
)
# Make the request
operation = client.update_stream(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.visionai_v1.types.UpdateStreamRequest, dict]
The request object. Message for updating a Stream. |
stream |
google.cloud.visionai_v1.types.Stream
Required. The resource being updated. This corresponds to the |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation |
An object representing a long-running operation. The result type for the operation will be 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. |