Class PredictionServiceClient

  • All Implemented Interfaces:
    com.google.api.gax.core.BackgroundResource, AutoCloseable

    @BetaApi
    @Generated("by gapic-generator-java")
    public class PredictionServiceClient
    extends Object
    implements com.google.api.gax.core.BackgroundResource
    Service Description: Service for making recommendation prediction.

    This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:

    
     // 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://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
     try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
       PlacementName name =
           PlacementName.of("[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]");
       UserEvent userEvent = UserEvent.newBuilder().build();
       for (Map.Entry<String, Value> element :
           predictionServiceClient.predict(name, userEvent).iterateAll()) {
         // doThingsWith(element);
       }
     }
     

    Note: close() needs to be called on the PredictionServiceClient object to clean up resources such as threads. In the example above, try-with-resources is used, which automatically calls close().

    The surface of this class includes several types of Java methods for each of the API's methods:

    1. A "flattened" method. With this type of method, the fields of the request type have been converted into function parameters. It may be the case that not all fields are available as parameters, and not every API method will have a flattened method entry point.
    2. A "request object" method. This type of method only takes one parameter, a request object, which must be constructed before the call. Not every API method will have a request object method.
    3. A "callable" method. This type of method takes no parameters and returns an immutable API callable object, which can be used to initiate calls to the service.

    See the individual methods for example code.

    Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parse method to extract the individual identifiers contained within names that are returned.

    This class can be customized by passing in a custom instance of PredictionServiceSettings to create(). For example:

    To customize credentials:

    
     // 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://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
     PredictionServiceSettings predictionServiceSettings =
         PredictionServiceSettings.newBuilder()
             .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
             .build();
     PredictionServiceClient predictionServiceClient =
         PredictionServiceClient.create(predictionServiceSettings);
     

    To customize the endpoint:

    
     // 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://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
     PredictionServiceSettings predictionServiceSettings =
         PredictionServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
     PredictionServiceClient predictionServiceClient =
         PredictionServiceClient.create(predictionServiceSettings);
     

    To use REST (HTTP1.1/JSON) transport (instead of gRPC) for sending and receiving requests over the wire:

    
     // 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://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
     PredictionServiceSettings predictionServiceSettings =
         PredictionServiceSettings.newHttpJsonBuilder().build();
     PredictionServiceClient predictionServiceClient =
         PredictionServiceClient.create(predictionServiceSettings);
     

    Please refer to the GitHub repository's samples for more quickstart code snippets.

    • Constructor Detail

      • PredictionServiceClient

        protected PredictionServiceClient​(PredictionServiceSettings settings)
                                   throws IOException
        Constructs an instance of PredictionServiceClient, using the given settings. This is protected so that it is easy to make a subclass, but otherwise, the static factory methods should be preferred.
        Throws:
        IOException
    • Method Detail

      • create

        public static final PredictionServiceClient create​(PredictionServiceStub stub)
        Constructs an instance of PredictionServiceClient, using the given stub for making calls. This is for advanced usage - prefer using create(PredictionServiceSettings).
      • predict

        public final PredictionServiceClient.PredictPagedResponse predict​(PlacementName name,
                                                                          UserEvent userEvent)
        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](/recommendations-ai/docs/setting-up#register-key).

        Sample code:

        
         // 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://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
         try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
           PlacementName name =
               PlacementName.of("[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]");
           UserEvent userEvent = UserEvent.newBuilder().build();
           for (Map.Entry<String, Value> element :
               predictionServiceClient.predict(name, userEvent).iterateAll()) {
             // doThingsWith(element);
           }
         }
         
        Parameters:
        name - 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

        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.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails
      • predict

        public final PredictionServiceClient.PredictPagedResponse predict​(String name,
                                                                          UserEvent userEvent)
        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](/recommendations-ai/docs/setting-up#register-key).

        Sample code:

        
         // 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://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
         try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
           String name =
               PlacementName.of("[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]")
                   .toString();
           UserEvent userEvent = UserEvent.newBuilder().build();
           for (Map.Entry<String, Value> element :
               predictionServiceClient.predict(name, userEvent).iterateAll()) {
             // doThingsWith(element);
           }
         }
         
        Parameters:
        name - 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

        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.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails
      • predict

        public final PredictionServiceClient.PredictPagedResponse predict​(PredictRequest request)
        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](/recommendations-ai/docs/setting-up#register-key).

        Sample code:

        
         // 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://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
         try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
           PredictRequest request =
               PredictRequest.newBuilder()
                   .setName(
                       PlacementName.of(
                               "[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]")
                           .toString())
                   .setUserEvent(UserEvent.newBuilder().build())
                   .setPageSize(883849137)
                   .setPageToken("pageToken873572522")
                   .setFilter("filter-1274492040")
                   .setDryRun(true)
                   .putAllParams(new HashMap<String, Value>())
                   .putAllLabels(new HashMap<String, String>())
                   .build();
           for (Map.Entry<String, Value> element :
               predictionServiceClient.predict(request).iterateAll()) {
             // doThingsWith(element);
           }
         }
         
        Parameters:
        request - The request object containing all of the parameters for the API call.
        Throws:
        com.google.api.gax.rpc.ApiException - if the remote call fails
      • predictPagedCallable

        public final com.google.api.gax.rpc.UnaryCallable<PredictRequest,​PredictionServiceClient.PredictPagedResponse> predictPagedCallable()
        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](/recommendations-ai/docs/setting-up#register-key).

        Sample code:

        
         // 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://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
         try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
           PredictRequest request =
               PredictRequest.newBuilder()
                   .setName(
                       PlacementName.of(
                               "[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]")
                           .toString())
                   .setUserEvent(UserEvent.newBuilder().build())
                   .setPageSize(883849137)
                   .setPageToken("pageToken873572522")
                   .setFilter("filter-1274492040")
                   .setDryRun(true)
                   .putAllParams(new HashMap<String, Value>())
                   .putAllLabels(new HashMap<String, String>())
                   .build();
           ApiFuture<Map.Entry<String, Value>> future =
               predictionServiceClient.predictPagedCallable().futureCall(request);
           // Do something.
           for (Map.Entry<String, Value> element : future.get().iterateAll()) {
             // doThingsWith(element);
           }
         }
         
      • predictCallable

        public final com.google.api.gax.rpc.UnaryCallable<PredictRequest,​PredictResponse> predictCallable()
        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](/recommendations-ai/docs/setting-up#register-key).

        Sample code:

        
         // 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://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
         try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
           PredictRequest request =
               PredictRequest.newBuilder()
                   .setName(
                       PlacementName.of(
                               "[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]")
                           .toString())
                   .setUserEvent(UserEvent.newBuilder().build())
                   .setPageSize(883849137)
                   .setPageToken("pageToken873572522")
                   .setFilter("filter-1274492040")
                   .setDryRun(true)
                   .putAllParams(new HashMap<String, Value>())
                   .putAllLabels(new HashMap<String, String>())
                   .build();
           while (true) {
             PredictResponse response = predictionServiceClient.predictCallable().call(request);
             for (Map.Entry<String, Value> element : response.getMetadataList()) {
               // doThingsWith(element);
             }
             String nextPageToken = response.getNextPageToken();
             if (!Strings.isNullOrEmpty(nextPageToken)) {
               request = request.toBuilder().setPageToken(nextPageToken).build();
             } else {
               break;
             }
           }
         }
         
      • shutdown

        public void shutdown()
        Specified by:
        shutdown in interface com.google.api.gax.core.BackgroundResource
      • isShutdown

        public boolean isShutdown()
        Specified by:
        isShutdown in interface com.google.api.gax.core.BackgroundResource
      • isTerminated

        public boolean isTerminated()
        Specified by:
        isTerminated in interface com.google.api.gax.core.BackgroundResource
      • shutdownNow

        public void shutdownNow()
        Specified by:
        shutdownNow in interface com.google.api.gax.core.BackgroundResource