Fatal error: Uncaught exception 'Google_Auth_Exception" avec un message " Erreur lors de l'actualisation de la OAuth2 jeton, message: '{ “error” : “invalid_grant” }

J'ai une Prédiction application basée sur Google-api-php client version 1.0.0 dernière. il est parfaitement travailler dans le localhost de l'environnement. mais pour le déploiement de la même exacte application dans le serveur d'hébergement de l'environnement, il m'a donné suite à problème.

C'EST L'ERREUR QUE J'AI OBTENU À PARTIR DE L'ENVIRONNEMENT D'HÉBERGEMENT

Fatal error: Uncaught exception 'Google_Auth_Exception' with message 'Error refreshing the OAuth2 token, message: '{ "error" : "invalid_grant" }'' in /home/predict/public_html/predict/Google/Auth/OAuth2.php:335 Stack trace: #0 /home/predict/public_html/predict/Google/Auth/OAuth2.php(294): Google_Auth_OAuth2->refreshTokenRequest(Array) #1 /home/predict/public_html/predict/index.php(40): Google_Auth_OAuth2->refreshTokenWithAssertion(Object(Google_Auth_AssertionCredentials)) #2 {main} thrown in /home/predict/public_html/predict/Google/Auth/OAuth2.php on line 335

*CURL et JSON extensions fonctionnent correctement sous environnement d'Hébergement.

C'EST MON CODE SOURCE EN ENTIER

<?php
session_start();

set_include_path("Google" . PATH_SEPARATOR . get_include_path());
require_once 'Client.php';
require_once 'Service/Prediction.php';

$client_id              = 'XXXXXXXXXX-uin70k09g5g6f05vqvdj9ch541c4spns.apps.googleusercontent.com';    
$service_account_name   = 'XXXXXXXXXX-uin70k09g5g6f05vqvdj9ch541c4spns@developer.gserviceaccount.com';  
$key_file_location      = 'APPKEY-d333c55a111a.p12';

if ($client_id == 'XXXXXXXXXX-uin70k09g5g6f05vqvdj9ch541c4spns.googleusercontent.com'
    || !strlen($service_account_name)
    || !strlen($key_file_location)) {  
}

$client = new Google_Client();

$client->setApplicationName("Predition App");
$service = new Google_Service_Prediction($client);

if (isset($_SESSION['service_token'])) {
  $client->setAccessToken($_SESSION['service_token']);
}

$key = file_get_contents($key_file_location);
$cred = new Google_Auth_AssertionCredentials(
    $service_account_name,`enter code here`
    array('https://www.googleapis.com/auth/prediction'),
    $key
);

$client->setAssertionCredentials($cred);

if($client->getAuth()->isAccessTokenExpired()) {    
  $client->getAuth()->refreshTokenWithAssertion($cred); 
}

$_SESSION['service_token'] = $client->getAccessToken();

//Prediction logic:
$id             = 'datamodel';
$project        = "XXXXXXXXXX";

$input          = $_REQUEST['input'];

//$predictionData = new Google_InputInput();  //Depricated method in Google_api_php_client_version1.0.0      //W.P.Roshan
$predictionData = new Google_Service_Prediction_InputInput();
$predictionData->setCsvInstance(array($input));

//$input = new Google_Input();                //Depricated method in Google_api_php_client_version1.0.0 //W.P.Roshan
$input = new Google_Service_Prediction_Input();
$input->setInput($predictionData);

$PredictionResult = $service->trainedmodels->predict($project,$id, $input,$optParams = array());
//print '<h3>Prediction Result:</h3><pre>' . print_r($result, true) . '</pre>';

$AccuracyMetaResult = $service->trainedmodels->get($project, $id, $optParams = array());    
//print '<h3>Classification Accuracy Result:</h3><pre>' . print_r($result, true) . '</pre>';

$stdout                     = new stdClass();
$stdout->dataModel          = $PredictionResult['id'];
$stdout->outputLabel        = $PredictionResult['outputLabel'];
$stdout->negative           = $PredictionResult['modelData']['outputMulti'][0]['score'];
$stdout->neutral            = $PredictionResult['modelData']['outputMulti'][1]['score'];
$stdout->positive           = $PredictionResult['modelData']['outputMulti'][2]['score'];
$stdout->modelCreated       = $AccuracyMetaResult['created'];
$stdout->trainingCompleted  = $AccuracyMetaResult['trainingComplete'];
$stdout->trainingStatus     = $AccuracyMetaResult['trainingStatus'];
$stdout->modelType          = $AccuracyMetaResult['modelData']['modelInfo']['modelType'];
$stdout->dataModelAccuracy  = $AccuracyMetaResult['modelData']['modelInfo']['classificationAccuracy'];

echo json_encode($stdout);

if ($client->getAccessToken()) {
  $_SESSION['token'] = $client->getAccessToken();
} 

OriginalL'auteur sunone5 | 2014-08-19