function analyzeProjectData($initialTexts)
{
// Initializes new session with the serializer object and the keys.
$session = new \Semantria\Session(CONSUMER_KEY, CONSUMER_SECRET, NULL, NULL, TRUE);
// Initialize session callback handler
$callback = new SessionCallbackHandler();
$session->setCallbackHandler($callback);
foreach ($initialTexts as $text) {
// Creates a sample document which need to be processed on Semantria
// Unique document ID
// Source text which need to be processed
$commentsText = $this->clean_view($text["comments"]);
if ($text["comments"] != null && $text["comments"] != "") {
$doc = array("id" => $text["id"] . "____" . $text["project_id"], "text" => $commentsText);
// Queues document for processing on Semantria service
$status = $session->queueDocument($doc);
// Check status from Semantria service
if ($status == 202) {
echo "Document ", $doc["id"], " queued successfully.", "\r\n";
}
}
}
// Count of the sample documents which need to be processed on Semantria
$length = count($initialTexts);
$results = array();
$sementriaTimes = 0;
//while (count($results) < $length) {
echo "Please wait 10 sec for documents ...", "\r\n";
// As Semantria isn't real-time solution you need to wait some time before getting of the processed results
// In real application here can be implemented two separate jobs, one for queuing of source data another one for retreiving
// Wait ten seconds while Semantria process queued document
sleep(10);
$sementriaTimes .= $sementriaTimes + 1;
// Requests processed results from Semantria service
$status = $session->getProcessedDocuments();
// Check status from Semantria service
if (is_array($status)) {
$results = array_merge($results, $status);
}
if ($sementriaTimes > 2) {
$length = count($results);
}
echo count($status), " documents received successfully.", "\r\n";
//}
$analyzedArray = array();
foreach ($results as $data) {
// Printing of document sentiment score
//echo "Document ", $data["id"], " Sentiment score: ", $data["sentiment_score"], "\r\n";
$analyzedArray[] = array('id' => $data["id"], 'score' => $data["sentiment_score"]);
}
return $analyzedArray;
}
//$s = json_encode($args);
//echo "COLLS AUTORESPONSE: ", htmlspecialchars($s), "\r\n";
}
}
// Initializes new session with the serializer object and the keys.
$session = new \Semantria\Session(CONSUMER_KEY, CONSUMER_SECRET, NULL, NULL, TRUE);
// Initialize session callback handler
$callback = new SessionCallbackHandler();
$session->setCallbackHandler($callback);
foreach ($initialTexts as $text) {
// Creates a sample document which need to be processed on Semantria
// Unique document ID
// Source text which need to be processed
$doc = array("id" => uniqid(''), "text" => $text);
// Queues document for processing on Semantria service
$status = $session->queueDocument($doc);
// Check status from Semantria service
if ($status == 202) {
echo "Document ", $doc["id"], " queued successfully.", "\r\n";
}
}
// Count of the sample documents which need to be processed on Semantria
$length = count($initialTexts);
$results = array();
while (count($results) < $length) {
echo "Please wait 10 sec for documents ...", "\r\n";
// As Semantria isn't real-time solution you need to wait some time before getting of the processed results
// In real application here can be implemented two separate jobs, one for queuing of source data another one for retreiving
// Wait ten seconds while Semantria process queued document
sleep(20);
// Requests processed results from Semantria service
$job_documents[$job_id][] = array('id' => uniqid('', TRUE), 'text' => $line, 'job_id' => $job_id);
}
if (!feof($file)) {
echo "Error: unexpected fgets() fail\n";
}
fclose($file);
// Initializes new session with the serializer object and the keys.
$session = new \Semantria\Session(CONSUMER_KEY, CONSUMER_SECRET, NULL, NULL, TRUE);
// Initialize session callback handler
$callback = new SessionCallbackHandler();
$session->setCallbackHandler($callback);
switch ($data_sending_mode) {
case 0:
foreach ($job_documents as $job_id => $documents) {
foreach ($documents as $document) {
$session->queueDocument($document);
}
$length = count($document);
print "{$length} documents queued for {$job_id} job ID\n";
}
break;
case 1:
foreach ($job_documents as $job_id => $documents) {
$session->queueBatch($documents);
$length = count($documents);
print "{$length} documents queued for {$job_id} job ID\n";
}
break;
default:
$full_batch = array();
foreach ($job_documents as $job_id => $documents) {
} else {
if ($configuration['name'] == 'AutoResponseTest') {
$autoresponse_config = $configuration;
}
}
}
if ($autoresponse_config == NULL) {
$session->addConfigurations(array(array('name' => 'AutoResponseTest', 'language' => 'English', 'is_primary' => TRUE, 'auto_response' => TRUE)));
} else {
$autoresponse_config['is_primary'] = TRUE;
$session->updateConfigurations(array($autoresponse_config));
}
// Queues documents for analysis one by one
$doc_counter = 0;
foreach ($documents as $doc) {
$session->queueDocument(array('id' => uniqid('', TRUE), 'text' => $doc));
$doc_counter += 1;
usleep(100000);
$results_len = count($results);
print "Documents queued/received rate: {$doc_counter}/{$results_len}\n";
}
// The final call to get remained data from server, Just for demo purposes.
sleep(1);
while (count($results) < count($documents)) {
$result = $session->getProcessedDocuments();
foreach ($result as $item) {
$results[] = $item;
}
usleep(500000);
}
$results_len = count($results);
