Cloud AutoML V1 Client - Class PredictionServiceClient (2.0.0)

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AutoMl\V1\BatchPredictInputConfig;
use Google\Cloud\AutoMl\V1\BatchPredictOutputConfig;
use Google\Cloud\AutoMl\V1\BatchPredictRequest;
use Google\Cloud\AutoMl\V1\BatchPredictResult;
use Google\Cloud\AutoMl\V1\Client\PredictionServiceClient;
use Google\Cloud\AutoMl\V1\GcsDestination;
use Google\Cloud\AutoMl\V1\GcsSource;
use Google\Rpc\Status;

/**
 * @param string $formattedName                             Name of the model requested to serve the batch prediction. Please see
 *                                                          {@see PredictionServiceClient::modelName()} for help formatting this field.
 * @param string $inputConfigGcsSourceInputUrisElement      Google Cloud Storage URIs to input files, up to 2000
 *                                                          characters long. Accepted forms:
 *                                                          * Full object path, e.g. gs://bucket/directory/object.csv
 * @param string $outputConfigGcsDestinationOutputUriPrefix Google Cloud Storage URI to output directory, up to 2000
 *                                                          characters long.
 *                                                          Accepted forms:
 *                                                          * Prefix path: gs://bucket/directory
 *                                                          The requesting user must have write permission to the bucket.
 *                                                          The directory is created if it doesn't exist.
 */
function batch_predict_sample(
    string $formattedName,
    string $inputConfigGcsSourceInputUrisElement,
    string $outputConfigGcsDestinationOutputUriPrefix
): void {
    // Create a client.
    $predictionServiceClient = new PredictionServiceClient();

    // Prepare the request message.
    $inputConfigGcsSourceInputUris = [$inputConfigGcsSourceInputUrisElement,];
    $inputConfigGcsSource = (new GcsSource())
        ->setInputUris($inputConfigGcsSourceInputUris);
    $inputConfig = (new BatchPredictInputConfig())
        ->setGcsSource($inputConfigGcsSource);
    $outputConfigGcsDestination = (new GcsDestination())
        ->setOutputUriPrefix($outputConfigGcsDestinationOutputUriPrefix);
    $outputConfig = (new BatchPredictOutputConfig())
        ->setGcsDestination($outputConfigGcsDestination);
    $request = (new BatchPredictRequest())
        ->setName($formattedName)
        ->setInputConfig($inputConfig)
        ->setOutputConfig($outputConfig);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $predictionServiceClient->batchPredict($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            /** @var BatchPredictResult $result */
            $result = $response->getResult();
            printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = PredictionServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
    $inputConfigGcsSourceInputUrisElement = '[INPUT_URIS]';
    $outputConfigGcsDestinationOutputUriPrefix = '[OUTPUT_URI_PREFIX]';

    batch_predict_sample(
        $formattedName,
        $inputConfigGcsSourceInputUrisElement,
        $outputConfigGcsDestinationOutputUriPrefix
    );
}

use Google\ApiCore\ApiException;
use Google\Cloud\AutoMl\V1\Client\PredictionServiceClient;
use Google\Cloud\AutoMl\V1\ExamplePayload;
use Google\Cloud\AutoMl\V1\PredictRequest;
use Google\Cloud\AutoMl\V1\PredictResponse;

/**
 * @param string $formattedName Name of the model requested to serve the prediction. Please see
 *                              {@see PredictionServiceClient::modelName()} for help formatting this field.
 */
function predict_sample(string $formattedName): void
{
    // Create a client.
    $predictionServiceClient = new PredictionServiceClient();

    // Prepare the request message.
    $payload = new ExamplePayload();
    $request = (new PredictRequest())
        ->setName($formattedName)
        ->setPayload($payload);

    // Call the API and handle any network failures.
    try {
        /** @var PredictResponse $response */
        $response = $predictionServiceClient->predict($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = PredictionServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    predict_sample($formattedName);
}