Class PredictionServiceAsyncClient (2.8.3)

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PredictionServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport] = 'grpc_asyncio', client_options: 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>)

AutoML Prediction API.

On any input that is documented to expect a string parameter in snake_case or dash-case, either of those cases is accepted.

Inheritance

builtins.object > PredictionServiceAsyncClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
PredictionServiceTransportThe transport used by the client instance.

Methods

PredictionServiceAsyncClient

PredictionServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport] = 'grpc_asyncio', client_options: 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 prediction service client.

Parameters
NameDescription
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 Union[str, .PredictionServiceTransport]

The transport to use. If set to None, a transport is chosen automatically.

client_options ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS 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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTlsChannelErrorIf mutual TLS transport creation failed for any reason.

batch_predict

batch_predict(request: Optional[Union[google.cloud.automl_v1.types.prediction_service.BatchPredictRequest, dict]] = None, *, name: Optional[str] = None, input_config: Optional[google.cloud.automl_v1.types.io.BatchPredictInputConfig] = None, output_config: Optional[google.cloud.automl_v1.types.io.BatchPredictOutputConfig] = None, params: Optional[Mapping[str, str]] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Perform a batch prediction. Unlike the online xref_Predict, batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, xref_BatchPredictResult is returned in the response][google.longrunning.Operation.response] field. Available for following ML scenarios:

  • AutoML Vision Classification
  • AutoML Vision Object Detection
  • AutoML Video Intelligence Classification
  • AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
  • AutoML Natural Language Entity Extraction
  • AutoML Natural Language Sentiment Analysis
  • AutoML Tables
# 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 automl_v1

async def sample_batch_predict():
    # Create a client
    client = automl_v1.PredictionServiceAsyncClient()

    # Initialize request argument(s)
    input_config = automl_v1.BatchPredictInputConfig()
    input_config.gcs_source.input_uris = ['input_uris_value1', 'input_uris_value2']

    output_config = automl_v1.BatchPredictOutputConfig()
    output_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value"

    request = automl_v1.BatchPredictRequest(
        name="name_value",
        input_config=input_config,
        output_config=output_config,
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.automl_v1.types.BatchPredictRequest, dict]

The request object. Request message for PredictionService.BatchPredict.

name str

Required. Name of the model requested to serve the batch prediction. This corresponds to the name field on the request instance; if request is provided, this should not be set.

input_config BatchPredictInputConfig

Required. The input configuration for batch prediction. This corresponds to the input_config field on the request instance; if request is provided, this should not be set.

output_config BatchPredictOutputConfig

Required. The Configuration specifying where output predictions should be written. This corresponds to the output_config field on the request instance; if request is provided, this should not be set.

params :class:Mapping[str, str]

Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long. AutoML Natural Language Classification score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Classification score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection score_threshold : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. max_bounding_box_count : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5. segment_classification : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true. shot_classification : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. 1s_interval_classification : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. AutoML Video Intelligence Object Tracking score_threshold : (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. max_bounding_box_count : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. min_bounding_box_size : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0. This corresponds to the params field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

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

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

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

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be BatchPredictResult Result of the Batch Predict. This message is returned in response][google.longrunning.Operation.response] of the operation returned by the PredictionService.BatchPredict.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
PredictionServiceAsyncClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
PredictionServiceAsyncClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
PredictionServiceAsyncClientThe constructed client.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: 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 variabel 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
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_transport_class

get_transport_class()

Returns an appropriate transport class.

model_path

model_path(project: str, location: str, model: str)

Returns a fully-qualified model string.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_model_path

parse_model_path(path: str)

Parses a model path into its component segments.

predict

predict(request: Optional[Union[google.cloud.automl_v1.types.prediction_service.PredictRequest, dict]] = None, *, name: Optional[str] = None, payload: Optional[google.cloud.automl_v1.types.data_items.ExamplePayload] = None, params: Optional[Mapping[str, str]] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

  • An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

  • An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

  • A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

  • A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

  • A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

  • A TextSnippet up to 25,000 characters, UTF-8 encoded.

AutoML Tables

  • A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.
# 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 automl_v1

async def sample_predict():
    # Create a client
    client = automl_v1.PredictionServiceAsyncClient()

    # Initialize request argument(s)
    payload = automl_v1.ExamplePayload()
    payload.image.image_bytes = b'image_bytes_blob'

    request = automl_v1.PredictRequest(
        name="name_value",
        payload=payload,
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.automl_v1.types.PredictRequest, dict]

The request object. Request message for PredictionService.Predict.

name str

Required. Name of the model requested to serve the prediction. This corresponds to the name field on the request instance; if request is provided, this should not be set.

payload ExamplePayload

Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve. This corresponds to the payload field on the request instance; if request is provided, this should not be set.

params :class:Mapping[str, str]

Additional domain-specific parameters, any string must be up to 25000 characters long. AutoML Vision Classification score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection score_threshold : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. max_bounding_box_count : (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server. AutoML Tables feature_importance : (boolean) Whether feature_importance is populated in the returned list of TablesAnnotation objects. The default is false. This corresponds to the params field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

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

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

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

Returns
TypeDescription
google.cloud.automl_v1.types.PredictResponseResponse message for PredictionService.Predict.