As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

PredictionService

class google.cloud.recommendationengine_v1beta1.services.prediction_service.PredictionServiceAsyncClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.recommendationengine_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport] = 'grpc_asyncio', client_options: <module 'google.api_core.client_options' from '/workspace/.nox/docs/lib/python3.8/site-packages/google/api_core/client_options.py'> = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

Service for making recommendation prediction.

Instantiates the prediction service client.

Parameters
  • 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.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

static common_billing_account_path(billing_account: str)str

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str)str

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str)str

Returns a fully-qualified location string.

static common_organization_path(organization: str)str

Returns a fully-qualified organization string.

static common_project_path(project: str)str

Returns a fully-qualified project string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters
  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

PredictionServiceAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters
  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

PredictionServiceAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters
  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

PredictionServiceAsyncClient

get_transport_class()Type[google.cloud.recommendationengine_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport]

Returns an appropriate transport class.

Parameters

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

Returns

The transport class to use.

static parse_common_billing_account_path(path: str)Dict[str, str]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str)Dict[str, str]

Parse a folder path into its component segments.

static parse_common_location_path(path: str)Dict[str, str]

Parse a location path into its component segments.

static parse_common_organization_path(path: str)Dict[str, str]

Parse a organization path into its component segments.

static parse_common_project_path(path: str)Dict[str, str]

Parse a project path into its component segments.

static parse_placement_path(path: str)Dict[str, str]

Parses a placement path into its component segments.

static placement_path(project: str, location: str, catalog: str, event_store: str, placement: str)str

Returns a fully-qualified placement string.

async predict(request: Optional[google.cloud.recommendationengine_v1beta1.types.prediction_service.PredictRequest] = None, *, name: Optional[str] = None, user_event: Optional[google.cloud.recommendationengine_v1beta1.types.user_event.UserEvent] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())google.cloud.recommendationengine_v1beta1.services.prediction_service.pagers.PredictAsyncPager[source]

Makes a recommendation prediction. If using API Key based authentication, the API Key must be registered using the [PredictionApiKeyRegistry][google.cloud.recommendationengine.v1beta1.PredictionApiKeyRegistry] service. Learn more.

Parameters
  • request (google.cloud.recommendationengine_v1beta1.types.PredictRequest) – The request object. Request message for Predict method.

  • name (str) –

    Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*} The id of the recommendation engine placement. This id is used to identify the set of models that will be used to make the prediction.

    We currently support three placements with the following IDs by default:

    • shopping_cart: Predicts items frequently bought together with one or more catalog items in the same shopping session. Commonly displayed after add-to-cart events, on product detail pages, or on the shopping cart page.

    • home_page: Predicts the next product that a user will most likely engage with or purchase based on the shopping or viewing history of the specified userId or visitorId. For example - Recommendations for you.

    • product_detail: Predicts the next product that a user will most likely engage with or purchase. The prediction is based on the shopping or viewing history of the specified userId or visitorId and its relevance to a specified CatalogItem. Typically used on product detail pages. For example - More items like this.

    • recently_viewed_default: Returns up to 75 items recently viewed by the specified userId or visitorId, most recent ones first. Returns nothing if neither of them has viewed any items yet. For example - Recently viewed.

    The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • user_event (google.cloud.recommendationengine_v1beta1.types.UserEvent) –

    Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won’t be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

    This corresponds to the user_event 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

Response message for predict method. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.recommendationengine_v1beta1.services.prediction_service.pagers.PredictAsyncPager

property transport: google.cloud.recommendationengine_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

PredictionServiceTransport

class google.cloud.recommendationengine_v1beta1.services.prediction_service.PredictionServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.recommendationengine_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport]] = None, 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>)[source]

Service for making recommendation prediction.

Instantiates the prediction service client.

Parameters
  • 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 (google.api_core.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.

  • 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.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]

Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

static common_billing_account_path(billing_account: str)str[source]

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str)str[source]

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str)str[source]

Returns a fully-qualified location string.

static common_organization_path(organization: str)str[source]

Returns a fully-qualified organization string.

static common_project_path(project: str)str[source]

Returns a fully-qualified project string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters
  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

PredictionServiceClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters
  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

PredictionServiceClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters
  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

PredictionServiceClient

static parse_common_billing_account_path(path: str)Dict[str, str][source]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str)Dict[str, str][source]

Parse a folder path into its component segments.

static parse_common_location_path(path: str)Dict[str, str][source]

Parse a location path into its component segments.

static parse_common_organization_path(path: str)Dict[str, str][source]

Parse a organization path into its component segments.

static parse_common_project_path(path: str)Dict[str, str][source]

Parse a project path into its component segments.

static parse_placement_path(path: str)Dict[str, str][source]

Parses a placement path into its component segments.

static placement_path(project: str, location: str, catalog: str, event_store: str, placement: str)str[source]

Returns a fully-qualified placement string.

predict(request: Optional[Union[google.cloud.recommendationengine_v1beta1.types.prediction_service.PredictRequest, dict]] = None, *, name: Optional[str] = None, user_event: Optional[google.cloud.recommendationengine_v1beta1.types.user_event.UserEvent] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())google.cloud.recommendationengine_v1beta1.services.prediction_service.pagers.PredictPager[source]

Makes a recommendation prediction. If using API Key based authentication, the API Key must be registered using the [PredictionApiKeyRegistry][google.cloud.recommendationengine.v1beta1.PredictionApiKeyRegistry] service. Learn more.

Parameters
  • request (Union[google.cloud.recommendationengine_v1beta1.types.PredictRequest, dict]) – The request object. Request message for Predict method.

  • name (str) –

    Required. Full resource name of the format: {name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*} The id of the recommendation engine placement. This id is used to identify the set of models that will be used to make the prediction.

    We currently support three placements with the following IDs by default:

    • shopping_cart: Predicts items frequently bought together with one or more catalog items in the same shopping session. Commonly displayed after add-to-cart events, on product detail pages, or on the shopping cart page.

    • home_page: Predicts the next product that a user will most likely engage with or purchase based on the shopping or viewing history of the specified userId or visitorId. For example - Recommendations for you.

    • product_detail: Predicts the next product that a user will most likely engage with or purchase. The prediction is based on the shopping or viewing history of the specified userId or visitorId and its relevance to a specified CatalogItem. Typically used on product detail pages. For example - More items like this.

    • recently_viewed_default: Returns up to 75 items recently viewed by the specified userId or visitorId, most recent ones first. Returns nothing if neither of them has viewed any items yet. For example - Recently viewed.

    The full list of available placements can be seen at https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • user_event (google.cloud.recommendationengine_v1beta1.types.UserEvent) –

    Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won’t be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

    This corresponds to the user_event 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

Response message for predict method. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.recommendationengine_v1beta1.services.prediction_service.pagers.PredictPager

property transport: google.cloud.recommendationengine_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

PredictionServiceTransport

class google.cloud.recommendationengine_v1beta1.services.prediction_service.pagers.PredictAsyncPager(method: Callable[[...], Awaitable[google.cloud.recommendationengine_v1beta1.types.prediction_service.PredictResponse]], request: google.cloud.recommendationengine_v1beta1.types.prediction_service.PredictRequest, response: google.cloud.recommendationengine_v1beta1.types.prediction_service.PredictResponse, *, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through predict requests.

This class thinly wraps an initial google.cloud.recommendationengine_v1beta1.types.PredictResponse object, and provides an __aiter__ method to iterate through its results field.

If there are more pages, the __aiter__ method will make additional Predict requests and continue to iterate through the results field on the corresponding responses.

All the usual google.cloud.recommendationengine_v1beta1.types.PredictResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.recommendationengine_v1beta1.services.prediction_service.pagers.PredictPager(method: Callable[[...], google.cloud.recommendationengine_v1beta1.types.prediction_service.PredictResponse], request: google.cloud.recommendationengine_v1beta1.types.prediction_service.PredictRequest, response: google.cloud.recommendationengine_v1beta1.types.prediction_service.PredictResponse, *, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through predict requests.

This class thinly wraps an initial google.cloud.recommendationengine_v1beta1.types.PredictResponse object, and provides an __iter__ method to iterate through its results field.

If there are more pages, the __iter__ method will make additional Predict requests and continue to iterate through the results field on the corresponding responses.

All the usual google.cloud.recommendationengine_v1beta1.types.PredictResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters