Examples with PredictionsException com.amplifyframework.predictions.PredictionsException used on opensource projects

Example 26 with PredictionsException

use of com.amplifyframework.predictions.PredictionsException in project amplify-android by aws-amplify.

the class AWSPredictionsPlugin method configure.

@Override
public void configure(JSONObject pluginConfiguration, @NonNull Context context) throws PredictionsException {
    this.configuration = AWSPredictionsPluginConfiguration.fromJson(pluginConfiguration);
    AWSCredentialsProvider credentialsProvider;
    if (credentialsProviderOverride != null) {
        credentialsProvider = credentialsProviderOverride;
    } else {
        try {
            credentialsProvider = (AWSMobileClient) Amplify.Auth.getPlugin(AUTH_DEPENDENCY_PLUGIN_KEY).getEscapeHatch();
        } catch (IllegalStateException exception) {
            throw new PredictionsException("AWSPredictionsPlugin depends on AWSCognitoAuthPlugin but it is currently missing", exception, "Before configuring Amplify, be sure to add AWSPredictionsPlugin same as you added " + "AWSPinpointAnalyticsPlugin.");
        }
    }
    this.predictionsService = new AWSPredictionsService(configuration, credentialsProvider);
}

Example 27 with PredictionsException

use of com.amplifyframework.predictions.PredictionsException in project amplify-android by aws-amplify.

the class AWSPredictionsPluginConfiguration method fromJson.

/**
 * Constructs an instance of {@link AWSPredictionsPluginConfiguration} from
 * the plugin configuration JSON object.
 * @param configurationJson the plugin configuration
 * @return the configuration object for AWS Predictions Plugin
 * @throws PredictionsException if configuration is missing or malformed
 */
@NonNull
static AWSPredictionsPluginConfiguration fromJson(JSONObject configurationJson) throws PredictionsException {
    if (configurationJson == null) {
        throw new PredictionsException("Could not locate predictions configuration for AWS Predictions Plugin.", "Verify that amplifyconfiguration.json contains a section for \"awsPredictionsPlugin\".");
    }
    final Region defaultRegion;
    final SpeechGeneratorConfiguration speechGeneratorConfiguration;
    final TranslateTextConfiguration translateTextConfiguration;
    final IdentifyLabelsConfiguration identifyLabelsConfiguration;
    final IdentifyEntitiesConfiguration identifyEntitiesConfiguration;
    final IdentifyTextConfiguration identifyTextConfiguration;
    final InterpretTextConfiguration interpretConfiguration;
    try {
        // Get default region
        String regionString = configurationJson.getString(ConfigKey.DEFAULT_REGION.key());
        defaultRegion = Region.getRegion(regionString);
        if (configurationJson.has(ConfigKey.CONVERT.key())) {
            JSONObject convertJson = configurationJson.getJSONObject(ConfigKey.CONVERT.key());
            speechGeneratorConfiguration = SpeechGeneratorConfiguration.fromJson(convertJson);
            translateTextConfiguration = TranslateTextConfiguration.fromJson(convertJson);
        } else {
            speechGeneratorConfiguration = null;
            translateTextConfiguration = null;
        }
        if (configurationJson.has(ConfigKey.IDENTIFY.key())) {
            JSONObject identifyJson = configurationJson.getJSONObject(ConfigKey.IDENTIFY.key());
            identifyLabelsConfiguration = IdentifyLabelsConfiguration.fromJson(identifyJson);
            identifyEntitiesConfiguration = IdentifyEntitiesConfiguration.fromJson(identifyJson);
            identifyTextConfiguration = IdentifyTextConfiguration.fromJson(identifyJson);
        } else {
            identifyLabelsConfiguration = null;
            identifyEntitiesConfiguration = null;
            identifyTextConfiguration = null;
        }
        if (configurationJson.has(ConfigKey.INTERPRET.key())) {
            JSONObject interpretJson = configurationJson.getJSONObject(ConfigKey.INTERPRET.key());
            interpretConfiguration = InterpretTextConfiguration.fromJson(interpretJson);
        } else {
            interpretConfiguration = null;
        }
    } catch (JSONException | IllegalArgumentException exception) {
        throw new PredictionsException("Issue encountered while parsing configuration JSON", exception, "Check the attached exception for more details.");
    }
    return new AWSPredictionsPluginConfiguration(defaultRegion, speechGeneratorConfiguration, translateTextConfiguration, identifyLabelsConfiguration, identifyEntitiesConfiguration, identifyTextConfiguration, interpretConfiguration);
}

Example 28 with PredictionsException

use of com.amplifyframework.predictions.PredictionsException in project amplify-android by aws-amplify.

the class TensorFlowTextClassificationService method classify.

/**
 * Classifies text to analyze associated sentiments.
 * @param text the text to classify
 * @param onSuccess notified when classification succeeds
 * @param onError notified when classification fails
 */
void classify(@NonNull String text, @NonNull Consumer<InterpretResult> onSuccess, @NonNull Consumer<PredictionsException> onError) {
    // Escape early if the initialization failed
    if (loadingError != null) {
        onError.accept(loadingError);
        return;
    }
    // Wait for initialization to complete
    // TODO: encapsulate blocking logic elsewhere
    boolean didLoad = false;
    try {
        didLoad = loaded.await(LOAD_TIMEOUT_MS, TimeUnit.MILLISECONDS);
    } catch (InterruptedException exception) {
        onError.accept(new PredictionsException("Text classification service initialization was interrupted.", "Please wait for the required assets to be fully loaded."));
        return;
    }
    if (!didLoad) {
        onError.accept(new PredictionsException("Text classification service timed out while awaiting load.", "Your classification data may be too resource intensive?"));
    }
    try {
        final Sentiment sentiment = fetchSentiment(text);
        onSuccess.accept(InterpretResult.builder().sentiment(sentiment).build());
    } catch (PredictionsException exception) {
        onError.accept(exception);
    }
}

Example 29 with PredictionsException

use of com.amplifyframework.predictions.PredictionsException in project amplify-android by aws-amplify.

the class TensorFlowTextClassificationService method fetchSentiment.

@VisibleForTesting
Sentiment fetchSentiment(String text) throws PredictionsException {
    float[][] input;
    float[][] output;
    try {
        // Pre-process input text
        input = dictionary.tokenizeInputText(text);
        output = new float[1][labels.size()];
        // Run inference.
        interpreter.run(input, output);
    } catch (IllegalArgumentException exception) {
        throw new PredictionsException("TensorFlow Lite failed to make an inference.", exception, "Verify that the label size matches the output size of the model.");
    }
    // Find the predominant sentiment
    Sentiment sentiment = null;
    for (int i = 0; i < labels.size(); i++) {
        SentimentType sentimentType = SentimentTypeAdapter.fromTensorFlow(labels.get(i));
        float confidenceScore = output[0][i] * PERCENT;
        if (sentiment == null || sentiment.getConfidence() < confidenceScore) {
            sentiment = Sentiment.builder().value(sentimentType).confidence(confidenceScore).build();
        }
    }
    return sentiment;
}

Example 30 with PredictionsException

use of com.amplifyframework.predictions.PredictionsException in project amplify-android by aws-amplify.

the class TextClassificationModel method load.

/**
 * Loads the pre-trained text classification model into
 * TensorFlow Lite interpreter.
 */
@WorkerThread
@Override
public synchronized void load() {
    // No-op if loaded already
    if (loaded) {
        return;
    }
    try {
        ByteBuffer buffer = loadModelFile();
        interpreter = new Interpreter(buffer);
        if (onLoaded != null) {
            onLoaded.accept(interpreter);
        }
        loaded = true;
    } catch (PredictionsException exception) {
        if (onLoadError != null) {
            onLoadError.accept(exception);
        }
    }
}