|
22 | 22 | * @see https://github.com/GoogleCloudPlatform/php-docs-samples/tree/master/dlp/README.md |
23 | 23 | */ |
24 | 24 |
|
25 | | -// Include Google Cloud dependendencies using Composer |
26 | | -require_once __DIR__ . '/../vendor/autoload.php'; |
27 | | - |
28 | | -if (count($argv) != 8) { |
29 | | - return print("Usage: php categorical_stats.php CALLING_PROJECT DATA_PROJECT TOPIC SUBSCRIPTION DATASET TABLE COLUMN\n"); |
30 | | -} |
31 | | -list($_, $callingProjectId, $dataProjectId, $topicId, $subscriptionId, $datasetId, $tableId, $columnName) = $argv; |
| 25 | +namespace Google\Cloud\Samples\Dlp; |
32 | 26 |
|
33 | 27 | # [START dlp_categorical_stats] |
34 | | -/** |
35 | | - * Computes risk metrics of a column of data in a Google BigQuery table. |
36 | | - */ |
37 | 28 | use Google\Cloud\Dlp\V2\DlpServiceClient; |
38 | 29 | use Google\Cloud\Dlp\V2\RiskAnalysisJobConfig; |
39 | 30 | use Google\Cloud\Dlp\V2\BigQueryTable; |
|
45 | 36 | use Google\Cloud\Dlp\V2\FieldId; |
46 | 37 | use Google\Cloud\PubSub\PubSubClient; |
47 | 38 |
|
48 | | -/** Uncomment and populate these variables in your code */ |
49 | | -// $callingProjectId = 'The project ID to run the API call under'; |
50 | | -// $dataProjectId = 'The project ID containing the target Datastore'; |
51 | | -// $topicId = 'The name of the Pub/Sub topic to notify once the job completes'; |
52 | | -// $subscriptionId = 'The name of the Pub/Sub subscription to use when listening for job'; |
53 | | -// $datasetId = 'The ID of the dataset to inspect'; |
54 | | -// $tableId = 'The ID of the table to inspect'; |
55 | | -// $columnName = 'The name of the column to compute risk metrics for, e.g. "age"'; |
56 | | - |
57 | | -// Instantiate a client. |
58 | | -$dlp = new DlpServiceClient([ |
59 | | - 'projectId' => $callingProjectId, |
60 | | -]); |
61 | | -$pubsub = new PubSubClient([ |
62 | | - 'projectId' => $callingProjectId, |
63 | | -]); |
64 | | -$topic = $pubsub->topic($topicId); |
65 | | - |
66 | | -// Construct risk analysis config |
67 | | -$columnField = (new FieldId()) |
68 | | - ->setName($columnName); |
69 | | - |
70 | | -$statsConfig = (new CategoricalStatsConfig()) |
71 | | - ->setField($columnField); |
72 | | - |
73 | | -$privacyMetric = (new PrivacyMetric()) |
74 | | - ->setCategoricalStatsConfig($statsConfig); |
75 | | - |
76 | | -// Construct items to be analyzed |
77 | | -$bigqueryTable = (new BigQueryTable()) |
78 | | - ->setProjectId($dataProjectId) |
79 | | - ->setDatasetId($datasetId) |
80 | | - ->setTableId($tableId); |
81 | | - |
82 | | -// Construct the action to run when job completes |
83 | | -$pubSubAction = (new PublishToPubSub()) |
84 | | - ->setTopic($topic->name()); |
85 | | - |
86 | | -$action = (new Action()) |
87 | | - ->setPubSub($pubSubAction); |
88 | | - |
89 | | -// Construct risk analysis job config to run |
90 | | -$riskJob = (new RiskAnalysisJobConfig()) |
91 | | - ->setPrivacyMetric($privacyMetric) |
92 | | - ->setSourceTable($bigqueryTable) |
93 | | - ->setActions([$action]); |
94 | | - |
95 | | -// Submit request |
96 | | -$parent = "projects/$callingProjectId/locations/global"; |
97 | | -$job = $dlp->createDlpJob($parent, [ |
98 | | - 'riskJob' => $riskJob |
99 | | -]); |
100 | | - |
101 | | -// Listen for job notifications via an existing topic/subscription. |
102 | | -$subscription = $topic->subscription($subscriptionId); |
103 | | - |
104 | | -// Poll Pub/Sub using exponential backoff until job finishes |
105 | | -// Consider using an asynchronous execution model such as Cloud Functions |
106 | | -$attempt = 1; |
107 | | -$startTime = time(); |
108 | | -do { |
109 | | - foreach ($subscription->pull() as $message) { |
110 | | - if (isset($message->attributes()['DlpJobName']) && |
111 | | - $message->attributes()['DlpJobName'] === $job->getName()) { |
112 | | - $subscription->acknowledge($message); |
113 | | - // Get the updated job. Loop to avoid race condition with DLP API. |
114 | | - do { |
115 | | - $job = $dlp->getDlpJob($job->getName()); |
116 | | - } while ($job->getState() == JobState::RUNNING); |
117 | | - break 2; // break from parent do while |
118 | | - } |
119 | | - } |
120 | | - printf('Waiting for job to complete' . PHP_EOL); |
121 | | - // Exponential backoff with max delay of 60 seconds |
122 | | - sleep(min(60, pow(2, ++$attempt))); |
123 | | -} while (time() - $startTime < 600); // 10 minute timeout |
124 | | - |
125 | | -// Print finding counts |
126 | | -printf('Job %s status: %s' . PHP_EOL, $job->getName(), JobState::name($job->getState())); |
127 | | -switch ($job->getState()) { |
128 | | - case JobState::DONE: |
129 | | - $histBuckets = $job->getRiskDetails()->getCategoricalStatsResult()->getValueFrequencyHistogramBuckets(); |
130 | | - |
131 | | - foreach ($histBuckets as $bucketIndex => $histBucket) { |
132 | | - // Print bucket stats |
133 | | - printf('Bucket %s:' . PHP_EOL, $bucketIndex); |
134 | | - printf(' Most common value occurs %s time(s)' . PHP_EOL, $histBucket->getValueFrequencyUpperBound()); |
135 | | - printf(' Least common value occurs %s time(s)' . PHP_EOL, $histBucket->getValueFrequencyLowerBound()); |
136 | | - printf(' %s unique value(s) total.', $histBucket->getBucketSize()); |
137 | | - |
138 | | - // Print bucket values |
139 | | - foreach ($histBucket->getBucketValues() as $percent => $quantile) { |
140 | | - printf( |
141 | | - ' Value %s occurs %s time(s).' . PHP_EOL, |
142 | | - $quantile->getValue()->serializeToJsonString(), |
143 | | - $quantile->getCount() |
144 | | - ); |
| 39 | +/** |
| 40 | + * Computes risk metrics of a column of data in a Google BigQuery table. |
| 41 | + * |
| 42 | + * @param string $callingProjectId The project ID to run the API call under |
| 43 | + * @param string $dataProjectId The project ID containing the target Datastore |
| 44 | + * @param string $topicId The name of the Pub/Sub topic to notify once the job completes |
| 45 | + * @param string $subscriptionId The name of the Pub/Sub subscription to use when listening for job |
| 46 | + * @param string $datasetId The ID of the dataset to inspect |
| 47 | + * @param string $tableId The ID of the table to inspect |
| 48 | + * @param string $columnName The name of the column to compute risk metrics for, e.g. "age" |
| 49 | + */ |
| 50 | +function categorical_stats( |
| 51 | + string $callingProjectId, |
| 52 | + string $dataProjectId, |
| 53 | + string $topicId, |
| 54 | + string $subscriptionId, |
| 55 | + string $datasetId, |
| 56 | + string $tableId, |
| 57 | + string $columnName |
| 58 | +): void { |
| 59 | + // Instantiate a client. |
| 60 | + $dlp = new DlpServiceClient([ |
| 61 | + 'projectId' => $callingProjectId, |
| 62 | + ]); |
| 63 | + $pubsub = new PubSubClient([ |
| 64 | + 'projectId' => $callingProjectId, |
| 65 | + ]); |
| 66 | + $topic = $pubsub->topic($topicId); |
| 67 | + |
| 68 | + // Construct risk analysis config |
| 69 | + $columnField = (new FieldId()) |
| 70 | + ->setName($columnName); |
| 71 | + |
| 72 | + $statsConfig = (new CategoricalStatsConfig()) |
| 73 | + ->setField($columnField); |
| 74 | + |
| 75 | + $privacyMetric = (new PrivacyMetric()) |
| 76 | + ->setCategoricalStatsConfig($statsConfig); |
| 77 | + |
| 78 | + // Construct items to be analyzed |
| 79 | + $bigqueryTable = (new BigQueryTable()) |
| 80 | + ->setProjectId($dataProjectId) |
| 81 | + ->setDatasetId($datasetId) |
| 82 | + ->setTableId($tableId); |
| 83 | + |
| 84 | + // Construct the action to run when job completes |
| 85 | + $pubSubAction = (new PublishToPubSub()) |
| 86 | + ->setTopic($topic->name()); |
| 87 | + |
| 88 | + $action = (new Action()) |
| 89 | + ->setPubSub($pubSubAction); |
| 90 | + |
| 91 | + // Construct risk analysis job config to run |
| 92 | + $riskJob = (new RiskAnalysisJobConfig()) |
| 93 | + ->setPrivacyMetric($privacyMetric) |
| 94 | + ->setSourceTable($bigqueryTable) |
| 95 | + ->setActions([$action]); |
| 96 | + |
| 97 | + // Submit request |
| 98 | + $parent = "projects/$callingProjectId/locations/global"; |
| 99 | + $job = $dlp->createDlpJob($parent, [ |
| 100 | + 'riskJob' => $riskJob |
| 101 | + ]); |
| 102 | + |
| 103 | + // Listen for job notifications via an existing topic/subscription. |
| 104 | + $subscription = $topic->subscription($subscriptionId); |
| 105 | + |
| 106 | + // Poll Pub/Sub using exponential backoff until job finishes |
| 107 | + // Consider using an asynchronous execution model such as Cloud Functions |
| 108 | + $attempt = 1; |
| 109 | + $startTime = time(); |
| 110 | + do { |
| 111 | + foreach ($subscription->pull() as $message) { |
| 112 | + if (isset($message->attributes()['DlpJobName']) && |
| 113 | + $message->attributes()['DlpJobName'] === $job->getName()) { |
| 114 | + $subscription->acknowledge($message); |
| 115 | + // Get the updated job. Loop to avoid race condition with DLP API. |
| 116 | + do { |
| 117 | + $job = $dlp->getDlpJob($job->getName()); |
| 118 | + } while ($job->getState() == JobState::RUNNING); |
| 119 | + break 2; // break from parent do while |
145 | 120 | } |
146 | 121 | } |
| 122 | + printf('Waiting for job to complete' . PHP_EOL); |
| 123 | + // Exponential backoff with max delay of 60 seconds |
| 124 | + sleep(min(60, pow(2, ++$attempt))); |
| 125 | + } while (time() - $startTime < 600); // 10 minute timeout |
| 126 | + |
| 127 | + // Print finding counts |
| 128 | + printf('Job %s status: %s' . PHP_EOL, $job->getName(), JobState::name($job->getState())); |
| 129 | + switch ($job->getState()) { |
| 130 | + case JobState::DONE: |
| 131 | + $histBuckets = $job->getRiskDetails()->getCategoricalStatsResult()->getValueFrequencyHistogramBuckets(); |
| 132 | + |
| 133 | + foreach ($histBuckets as $bucketIndex => $histBucket) { |
| 134 | + // Print bucket stats |
| 135 | + printf('Bucket %s:' . PHP_EOL, $bucketIndex); |
| 136 | + printf(' Most common value occurs %s time(s)' . PHP_EOL, $histBucket->getValueFrequencyUpperBound()); |
| 137 | + printf(' Least common value occurs %s time(s)' . PHP_EOL, $histBucket->getValueFrequencyLowerBound()); |
| 138 | + printf(' %s unique value(s) total.', $histBucket->getBucketSize()); |
| 139 | + |
| 140 | + // Print bucket values |
| 141 | + foreach ($histBucket->getBucketValues() as $percent => $quantile) { |
| 142 | + printf( |
| 143 | + ' Value %s occurs %s time(s).' . PHP_EOL, |
| 144 | + $quantile->getValue()->serializeToJsonString(), |
| 145 | + $quantile->getCount() |
| 146 | + ); |
| 147 | + } |
| 148 | + } |
147 | 149 |
|
148 | | - break; |
149 | | - case JobState::FAILED: |
150 | | - $errors = $job->getErrors(); |
151 | | - printf('Job %s had errors:' . PHP_EOL, $job->getName()); |
152 | | - foreach ($errors as $error) { |
153 | | - var_dump($error->getDetails()); |
154 | | - } |
155 | | - break; |
156 | | - case JobState::PENDING: |
157 | | - printf('Job has not completed. Consider a longer timeout or an asynchronous execution model' . PHP_EOL); |
158 | | - break; |
159 | | - default: |
160 | | - printf('Unexpected job state.'); |
| 150 | + break; |
| 151 | + case JobState::FAILED: |
| 152 | + $errors = $job->getErrors(); |
| 153 | + printf('Job %s had errors:' . PHP_EOL, $job->getName()); |
| 154 | + foreach ($errors as $error) { |
| 155 | + var_dump($error->getDetails()); |
| 156 | + } |
| 157 | + break; |
| 158 | + case JobState::PENDING: |
| 159 | + printf('Job has not completed. Consider a longer timeout or an asynchronous execution model' . PHP_EOL); |
| 160 | + break; |
| 161 | + default: |
| 162 | + printf('Unexpected job state.'); |
| 163 | + } |
161 | 164 | } |
162 | 165 | # [END dlp_categorical_stats] |
| 166 | + |
| 167 | +// The following 2 lines are only needed to run the samples |
| 168 | +require_once __DIR__ . '/../../testing/sample_helpers.php'; |
| 169 | +\Google\Cloud\Samples\execute_sample(__FILE__, __NAMESPACE__, $argv); |
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