PHP code example of iadj / gcloud

1. Go to this page and download the library: Download iadj/gcloud library. Choose the download type require.

2. Extract the ZIP file and open the index.php.

3. Add this code to the index.php.
    
        
<?php
require_once('vendor/autoload.php');

/* Start to develop here. Best regards https://php-download.com/ */

    

iadj / gcloud example snippets




use Google\Cloud\Logging\LoggingClient;

$logging = new LoggingClient([
    'projectId' => 'my_project'
]);

// Get a logger instance.
$logger = $logging->logger('my_log');

// Write a log entry.
$logger->write('my message');

// List log entries from a specific log.
$entries = $logging->entries([
    'filter' => 'logName = projects/my_project/logs/my_log'
]);

foreach ($entries as $entry) {
    echo $entry->info()['textPayload'] . "\n";
}



use Google\Cloud\Datastore\DatastoreClient;

$datastore = new DatastoreClient([
    'projectId' => 'my_project'
]);

// Create an entity
$bob = $datastore->entity('Person');
$bob['firstName'] = 'Bob';
$bob['email'] = '[email protected]';
$datastore->insert($bob);

// Update the entity
$bob['email'] = '[email protected]';
$datastore->update($bob);

// If you know the ID of the entity, you can look it up
$key = $datastore->key('Person', '12345328897844');
$entity = $datastore->lookup($key);



use Google\Cloud\Storage\StorageClient;

$storage = new StorageClient([
    'projectId' => 'my_project'
]);

$bucket = $storage->bucket('my_bucket');

// Upload a file to the bucket.
$bucket->upload(
    fopen('/data/file.txt', 'r')
);

// Using Predefined ACLs to manage object permissions, you may
// upload a file and give read access to anyone with the URL. 
$bucket->upload(
    fopen('/data/file.txt', 'r'),
    [
        'predefinedAcl' => 'publicRead'
    ]
);

// Download and store an object from the bucket locally.
$object = $bucket->object('file_backup.txt');
$object->downloadToFile('/data/file_backup.txt');



use Google\Cloud\Storage\StorageClient;

$storage = new StorageClient([
    'projectId' => 'my_project'
]);
$storage->registerStreamWrapper();

$contents = file_get_contents('gs://my_bucket/file_backup.txt');



use Google\Cloud\Translate\TranslateClient;

$translate = new TranslateClient([
    'key' => 'your_key'
]);

// Translate text from english to french.
$result = $translate->translate('Hello world!', [
    'target' => 'fr'
]);

echo $result['text'] . "\n";

// Detect the language of a string.
$result = $translate->detectLanguage('Greetings from Michigan!');

echo $result['languageCode'] . "\n";

// Get the languages supported for translation specifically for your target language.
$languages = $translate->localizedLanguages([
    'target' => 'en'
]);

foreach ($languages as $language) {
    echo $language['name'] . "\n";
    echo $language['code'] . "\n";
}

// Get all languages supported for translation.
$languages = $translate->languages();

foreach ($languages as $language) {
    echo $language . "\n";
}



use Google\Cloud\BigQuery\BigQueryClient;

$bigQuery = new BigQueryClient([
    'projectId' => 'my_project'
]);

// Get an instance of a previously created table.
$dataset = $bigQuery->dataset('my_dataset');
$table = $dataset->table('my_table');

// Begin a job to import data from a CSV file into the table.
$job = $table->load(
    fopen('/data/my_data.csv', 'r')
);

// Run a query and inspect the results.
$queryResults = $bigQuery->runQuery('SELECT * FROM [my_project:my_dataset.my_table]');

foreach ($queryResults->rows() as $row) {
    print_r($row);
}



use Google\Cloud\Language\LanguageClient;

$language = new LanguageClient([
    'projectId' => 'my_project'
]);

// Analyze a sentence.
$annotation = $language->annotateText('Greetings from Michigan!');

// Check the sentiment.
if ($annotation->sentiment() > 0) {
    echo "This is a positive message.\n";
}

// Detect entities.
$entities = $annotation->entitiesByType('LOCATION');

foreach ($entities as $entity) {
    echo $entity['name'] . "\n";
}

// Parse the syntax.
$tokens = $annotation->tokensByTag('NOUN');

foreach ($tokens as $token) {
    echo $token['text']['content'] . "\n";
}



use Google\Cloud\PubSub\PubSubClient;

$pubSub = new PubSubClient([
    'projectId' => 'my_project'
]);

// Get an instance of a previously created topic.
$topic = $pubSub->topic('my_topic');

// Publish a message to the topic.
$topic->publish([
    'data' => 'My new message.',
    'attributes' => [
        'location' => 'Detroit'
    ]
]);

// Get an instance of a previously created subscription.
$subscription = $pubSub->subscription('my_subscription');

// Pull all available messages.
$messages = $subscription->pull();

foreach ($messages as $message) {
    echo $message->data() . "\n";
    echo $message->attribute('location');
}



use Google\Cloud\Vision\VisionClient;

$vision = new VisionClient([
    'projectId' => 'my_project'
]);

// Annotate an image, detecting faces.
$image = $vision->image(
    fopen('/data/family_photo.jpg', 'r'),
    ['faces']
);

$annotation = $vision->annotate($image);

// Determine if the detected faces have headwear.
foreach ($annotation->faces() as $key => $face) {
    if ($face->hasHeadwear()) {
        echo "Face $key has headwear.\n";
    }
}



use Google\Cloud\Spanner\SpannerClient;

$spanner = new SpannerClient([
    'projectId' => 'my_project'
]);

$db = $spanner->connect('my-instance', 'my-database');

$userQuery = $db->execute('SELECT * FROM Users WHERE id = @id', [
    'parameters' => [
        'id' => $userId
    ]
]);

$user = $userQuery->rows()->current();

echo 'Hello ' . $user['firstName'];



use Google\Cloud\Speech\SpeechClient;

$speech = new SpeechClient([
    'projectId' => 'my_project',
    'languageCode' => 'en-US'
]);

// Recognize the speech in an audio file.
$results = $speech->recognize(
    fopen(__DIR__ . '/audio_sample.flac', 'r')
);

foreach ($results as $result) {
    echo $result->topAlternative()['transcript'] . "\n";
}



use Google\Cloud\VideoIntelligence\V1beta1\VideoIntelligenceServiceClient;
use google\cloud\videointelligence\v1beta1\Feature;

$client = new VideoIntelligenceServiceClient();

$inputUri = "gs://example-bucket/example-video.mp4";
$features = [
    Feature::LABEL_DETECTION,
];
$operationResponse = $client->annotateVideo($inputUri, $features);
$operationResponse->pollUntilComplete();
if ($operationResponse->operationSucceeded()) {
    $results = $operationResponse->getResult();
    foreach ($results->getAnnotationResultsList() as $result) {
        foreach ($result->getLabelAnnotationsList() as $labelAnnotation) {
            echo "Label: " . $labelAnnotation->getDescription() . "\n";
        }
    }
} else {
    $error = $operationResponse->getError();
    echo "error: " . $error->getMessage() . "\n";
}



use Google\Cloud\Trace\TraceClient;

$traceClient = new TraceClient([
    'projectId' => 'my_project'
]);

// Create a Trace
$trace = $traceClient->trace();
$span = $trace->span([
    'name' => 'main'
]);
$span->setStart();
$span->setEnd();

$trace->setSpans([$span]);
$traceClient->insert($trace);

// List recent Traces
foreach($traceClient->traces() as $trace) {
    var_dump($trace->traceId());
}



use Google\Cloud\Storage\StorageClient;
use Symfony\Component\Cache\Adapter\ArrayAdapter;

// Please take the proper precautions when storing your access tokens in a cache no matter the implementation.
$cache = new ArrayAdapter();

$storage = new StorageClient([
    'authCache' => $cache
]);