In diesem Beispiel wird gezeigt, wie Sie eine Cloud Storage-Ressource untersuchen und de-identifizierte Kopien der Dateien erstellen.
Weitere Informationen
Eine ausführliche Dokumentation, die dieses Codebeispiel enthält, finden Sie hier:
Codebeispiel
C#
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using System.Linq;
public class DeidentifyDataStoredInCloudStorage
{
public static DlpJob Deidentify(
string projectId,
string gcsInputPath,
string unstructuredDeidentifyTemplatePath,
string structuredDeidentifyTemplatePath,
string imageRedactionTemplatePath,
string gcsOutputPath,
string datasetId,
string tableId)
{
// Instantiate the client.
var dlp = DlpServiceClient.Create();
//Construct the storage config by specifying the input directory.
var storageConfig = new StorageConfig
{
CloudStorageOptions = new CloudStorageOptions
{
FileSet = new CloudStorageOptions.Types.FileSet
{
Url = gcsInputPath
}
}
};
// Construct the inspect config by specifying the type of info to be inspected.
var inspectConfig = new InspectConfig
{
InfoTypes =
{
new InfoType[]
{
new InfoType { Name = "PERSON_NAME" },
new InfoType { Name = "EMAIL_ADDRESS" }
}
},
IncludeQuote = true
};
// Construct the actions to take after the inspection portion of the job is completed.
// Specify how Cloud DLP must de-identify sensitive data in structured files, unstructured files and images
// using Transformation config.
// The de-identified files will be written to the the GCS bucket path specified in gcsOutputPath and the details of
// transformations performed will be written to BigQuery table specified in datasetId and tableId.
var actions = new Action[]
{
new Action
{
Deidentify = new Action.Types.Deidentify
{
CloudStorageOutput = gcsOutputPath,
TransformationConfig = new TransformationConfig
{
DeidentifyTemplate = unstructuredDeidentifyTemplatePath,
ImageRedactTemplate = imageRedactionTemplatePath,
StructuredDeidentifyTemplate = structuredDeidentifyTemplatePath,
},
TransformationDetailsStorageConfig = new TransformationDetailsStorageConfig
{
Table = new BigQueryTable
{
ProjectId = projectId,
DatasetId = datasetId,
TableId = tableId
}
}
}
}
};
// Construct the inspect job config using created storage config, inspect config and actions.
var inspectJob = new InspectJobConfig
{
StorageConfig = storageConfig,
InspectConfig = inspectConfig,
Actions = { actions }
};
// Create the dlp job and call the API.
DlpJob response = dlp.CreateDlpJob(new CreateDlpJobRequest
{
ParentAsLocationName = new LocationName(projectId, "global"),
InspectJob = inspectJob
});
return response;
}
}
Go
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
import (
"context"
"fmt"
"io"
dlp "cloud.google.com/go/dlp/apiv2"
"cloud.google.com/go/dlp/apiv2/dlppb"
)
func deidentifyCloudStorage(w io.Writer, projectID, gcsUri, tableId, datasetId, outputDirectory, deidentifyTemplateId, structuredDeidentifyTemplateId, imageRedactTemplateId string) error {
// projectId := "my-project-id"
// gcsUri := "gs://" + "your-bucket-name" + "/path/to/your/file.txt"
// tableId := "your-bigquery-table-id"
// datasetId := "your-bigquery-dataset-id"
// outputDirectory := "your-output-directory"
// deidentifyTemplateId := "your-deidentify-template-id"
// structuredDeidentifyTemplateId := "your-structured-deidentify-template-id"
// imageRedactTemplateId := "your-image-redact-template-id"
ctx := context.Background()
// Initialize a client once and reuse it to send multiple requests. Clients
// are safe to use across goroutines. When the client is no longer needed,
// call the Close method to cleanup its resources.
client, err := dlp.NewClient(ctx)
if err != nil {
return err
}
// Closing the client safely cleans up background resources.
defer client.Close()
// Set path in Cloud Storage.
cloudStorageOptions := &dlppb.CloudStorageOptions{
FileSet: &dlppb.CloudStorageOptions_FileSet{
Url: gcsUri,
},
}
// Define the storage config options for cloud storage options.
storageConfig := &dlppb.StorageConfig{
Type: &dlppb.StorageConfig_CloudStorageOptions{
CloudStorageOptions: cloudStorageOptions,
},
}
// Specify the type of info the inspection will look for.
// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
infoTypes := []*dlppb.InfoType{
{Name: "PERSON_NAME"},
{Name: "EMAIL_ADDRESS"},
}
// inspectConfig holds the configuration settings for data inspection and analysis
// within the context of the Google Cloud Data Loss Prevention (DLP) API.
inspectConfig := &dlppb.InspectConfig{
InfoTypes: infoTypes,
IncludeQuote: true,
}
// Types of files to include for de-identification.
fileTypesToTransform := []dlppb.FileType{
dlppb.FileType_CSV,
dlppb.FileType_IMAGE,
dlppb.FileType_TEXT_FILE,
}
// Specify the BigQuery table to be inspected.
table := &dlppb.BigQueryTable{
ProjectId: projectID,
DatasetId: datasetId,
TableId: tableId,
}
// transformationDetailsStorageConfig holds configuration settings for storing transformation
// details in the context of the Google Cloud Data Loss Prevention (DLP) API.
transformationDetailsStorageConfig := &dlppb.TransformationDetailsStorageConfig{
Type: &dlppb.TransformationDetailsStorageConfig_Table{
Table: table,
},
}
transformationConfig := &dlppb.TransformationConfig{
DeidentifyTemplate: deidentifyTemplateId,
ImageRedactTemplate: imageRedactTemplateId,
StructuredDeidentifyTemplate: structuredDeidentifyTemplateId,
}
// Action to execute on the completion of a job.
deidentify := &dlppb.Action_Deidentify{
TransformationConfig: transformationConfig,
TransformationDetailsStorageConfig: transformationDetailsStorageConfig,
Output: &dlppb.Action_Deidentify_CloudStorageOutput{
CloudStorageOutput: outputDirectory,
},
FileTypesToTransform: fileTypesToTransform,
}
action := &dlppb.Action{
Action: &dlppb.Action_Deidentify_{
Deidentify: deidentify,
},
}
// Configure the inspection job we want the service to perform.
inspectJobConfig := &dlppb.InspectJobConfig{
StorageConfig: storageConfig,
InspectConfig: inspectConfig,
Actions: []*dlppb.Action{
action,
},
}
// Construct the job creation request to be sent by the client.
req := &dlppb.CreateDlpJobRequest{
Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
Job: &dlppb.CreateDlpJobRequest_InspectJob{
InspectJob: inspectJobConfig,
},
}
// Send the request.
resp, err := client.CreateDlpJob(ctx, req)
if err != nil {
fmt.Fprintf(w, "error after resp: %v", err)
return err
}
// Print the results.
fmt.Fprint(w, "Job created successfully: ", resp.Name)
return nil
}
Java
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.Action;
import com.google.privacy.dlp.v2.BigQueryTable;
import com.google.privacy.dlp.v2.CloudStorageOptions;
import com.google.privacy.dlp.v2.CreateDlpJobRequest;
import com.google.privacy.dlp.v2.DlpJob;
import com.google.privacy.dlp.v2.FileType;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeStats;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.InspectDataSourceDetails;
import com.google.privacy.dlp.v2.InspectJobConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.ProjectDeidentifyTemplateName;
import com.google.privacy.dlp.v2.StorageConfig;
import com.google.privacy.dlp.v2.TransformationConfig;
import com.google.privacy.dlp.v2.TransformationDetailsStorageConfig;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.concurrent.TimeUnit;
public class DeidentifyCloudStorage {
// Set the timeout duration in minutes.
private static final int TIMEOUT_MINUTES = 15;
public static void main(String[] args) throws IOException, InterruptedException {
// TODO(developer): Replace these variables before running the sample.
// The Google Cloud project id to use as a parent resource.
String projectId = "your-project-id";
// Specify the cloud storage directory that you want to inspect.
String gcsPath = "gs://" + "your-bucket-name" + "/path/to/your/file.txt";
// Specify the big query dataset id to store the transformation details.
String datasetId = "your-bigquery-dataset-id";
// Specify the big query table id to store the transformation details.
String tableId = "your-bigquery-table-id";
// Specify the cloud storage directory to store the de-identified files.
String outputDirectory = "your-output-directory";
// Specify the de-identify template ID for unstructured files.
String deidentifyTemplateId = "your-deidentify-template-id";
// Specify the de-identify template ID for structured files.
String structuredDeidentifyTemplateId = "your-structured-deidentify-template-id";
// Specify the de-identify template ID for images.
String imageRedactTemplateId = "your-image-redact-template-id";
deidentifyCloudStorage(
projectId,
gcsPath,
tableId,
datasetId,
outputDirectory,
deidentifyTemplateId,
structuredDeidentifyTemplateId,
imageRedactTemplateId);
}
public static void deidentifyCloudStorage(
String projectId,
String gcsPath,
String tableId,
String datasetId,
String outputDirectory,
String deidentifyTemplateId,
String structuredDeidentifyTemplateId,
String imageRedactTemplateId)
throws IOException, InterruptedException {
try (DlpServiceClient dlp = DlpServiceClient.create()) {
// Set path in Cloud Storage.
CloudStorageOptions cloudStorageOptions =
CloudStorageOptions.newBuilder()
.setFileSet(CloudStorageOptions.FileSet.newBuilder().setUrl(gcsPath))
.build();
// Set storage config indicating the type of cloud storage.
StorageConfig storageConfig =
StorageConfig.newBuilder().setCloudStorageOptions(cloudStorageOptions).build();
// Specify the type of info the inspection will look for.
// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
List<InfoType> infoTypes = new ArrayList<>();
for (String typeName : new String[] {"PERSON_NAME", "EMAIL_ADDRESS"}) {
infoTypes.add(InfoType.newBuilder().setName(typeName).build());
}
InspectConfig inspectConfig =
InspectConfig.newBuilder().addAllInfoTypes(infoTypes).setIncludeQuote(true).build();
// Types of files to include for de-identification.
List<FileType> fileTypesToTransform =
Arrays.asList(
FileType.valueOf("IMAGE"), FileType.valueOf("CSV"), FileType.valueOf("TEXT_FILE"));
// Specify the big query table to store the transformation details.
BigQueryTable table =
BigQueryTable.newBuilder()
.setProjectId(projectId)
.setTableId(tableId)
.setDatasetId(datasetId)
.build();
TransformationDetailsStorageConfig transformationDetailsStorageConfig =
TransformationDetailsStorageConfig.newBuilder().setTable(table).build();
// Specify the de-identify template used for the transformation.
TransformationConfig transformationConfig =
TransformationConfig.newBuilder()
.setDeidentifyTemplate(
ProjectDeidentifyTemplateName.of(projectId, deidentifyTemplateId).toString())
.setImageRedactTemplate(
ProjectDeidentifyTemplateName.of(projectId, imageRedactTemplateId).toString())
.setStructuredDeidentifyTemplate(
ProjectDeidentifyTemplateName.of(projectId, structuredDeidentifyTemplateId)
.toString())
.build();
Action.Deidentify deidentify =
Action.Deidentify.newBuilder()
.setCloudStorageOutput(outputDirectory)
.setTransformationConfig(transformationConfig)
.setTransformationDetailsStorageConfig(transformationDetailsStorageConfig)
.addAllFileTypesToTransform(fileTypesToTransform)
.build();
Action action = Action.newBuilder().setDeidentify(deidentify).build();
// Configure the long-running job we want the service to perform.
InspectJobConfig inspectJobConfig =
InspectJobConfig.newBuilder()
.setInspectConfig(inspectConfig)
.setStorageConfig(storageConfig)
.addActions(action)
.build();
// Construct the job creation request to be sent by the client.
CreateDlpJobRequest createDlpJobRequest =
CreateDlpJobRequest.newBuilder()
.setParent(LocationName.of(projectId, "global").toString())
.setInspectJob(inspectJobConfig)
.build();
// Send the job creation request.
DlpJob response = dlp.createDlpJob(createDlpJobRequest);
// Get the current time.
long startTime = System.currentTimeMillis();
// Check if the job state is DONE.
while (response.getState() != DlpJob.JobState.DONE) {
// Sleep for 30 second.
Thread.sleep(30000);
// Get the updated job status.
response = dlp.getDlpJob(response.getName());
// Check if the timeout duration has exceeded.
long elapsedTime = System.currentTimeMillis() - startTime;
if (TimeUnit.MILLISECONDS.toMinutes(elapsedTime) >= TIMEOUT_MINUTES) {
System.out.printf("Job did not complete within %d minutes.%n", TIMEOUT_MINUTES);
break;
}
}
// Print the results.
System.out.println("Job status: " + response.getState());
System.out.println("Job name: " + response.getName());
InspectDataSourceDetails.Result result = response.getInspectDetails().getResult();
System.out.println("Findings: ");
for (InfoTypeStats infoTypeStat : result.getInfoTypeStatsList()) {
System.out.print("\tInfo type: " + infoTypeStat.getInfoType().getName());
System.out.println("\tCount: " + infoTypeStat.getCount());
}
}
}
}Node.js
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
// Imports the Google Cloud client library
const DLP = require('@google-cloud/dlp');
// Instantiates a client
const dlp = new DLP.DlpServiceClient();
// The project ID to run the API call under
// const projectId = 'my-project';
// The Cloud Storage directory that needs to be inspected
// const inputDirectory = 'your-google-cloud-storage-path';
// The ID of the dataset to inspect, e.g. 'my_dataset'
// const datasetId = 'my_dataset';
// The ID of the table to inspect, e.g. 'my_table'
// const tableId = 'my_table';
// The Cloud Storage directory that will be used to store the de-identified files
// const outputDirectory = 'your-output-directory';
// The full resource name of the default de-identify template
// const deidentifyTemplateId = 'your-deidentify-template-id';
// The full resource name of the de-identify template for structured files
// const structuredDeidentifyTemplateId = 'your-structured-deidentify-template-id';
// The full resource name of the image redaction template for images
// const imageRedactTemplateId = 'your-image-redact-template-id';
async function deidentifyCloudStorage() {
// Specify storage configuration that uses file set.
const storageConfig = {
cloudStorageOptions: {
fileSet: {
url: inputDirectory,
},
},
};
// Specify the type of info the inspection will look for.
const infoTypes = [{name: 'PERSON_NAME'}, {name: 'EMAIL_ADDRESS'}];
// Construct inspect configuration
const inspectConfig = {
infoTypes: infoTypes,
includeQuote: true,
};
// Types of files to include for de-identification.
const fileTypesToTransform = [
{fileType: 'IMAGE'},
{fileType: 'CSV'},
{fileType: 'TEXT_FILE'},
];
// Specify the big query table to store the transformation details.
const transformationDetailsStorageConfig = {
table: {
projectId: projectId,
tableId: tableId,
datasetId: datasetId,
},
};
// Specify the de-identify template used for the transformation.
const transformationConfig = {
deidentifyTemplate: deidentifyTemplateId,
structuredDeidentifyTemplate: structuredDeidentifyTemplateId,
imageRedactTemplate: imageRedactTemplateId,
};
// Construct action to de-identify sensitive data.
const action = {
deidentify: {
cloudStorageOutput: outputDirectory,
transformationConfig: transformationConfig,
transformationDetailsStorageConfig: transformationDetailsStorageConfig,
fileTypes: fileTypesToTransform,
},
};
// Construct the inspect job configuration.
const inspectJobConfig = {
inspectConfig: inspectConfig,
storageConfig: storageConfig,
actions: [action],
};
// Construct the job creation request to be sent by the client.
const createDlpJobRequest = {
parent: `projects/${projectId}/locations/global`,
inspectJob: inspectJobConfig,
};
// Send the job creation request and process the response.
const [response] = await dlp.createDlpJob(createDlpJobRequest);
const jobName = response.name;
// Waiting for a maximum of 15 minutes for the job to get complete.
let job;
let numOfAttempts = 30;
while (numOfAttempts > 0) {
// Fetch DLP Job status
[job] = await dlp.getDlpJob({name: jobName});
// Check if the job has completed.
if (job.state === 'DONE') {
break;
}
if (job.state === 'FAILED') {
console.log('Job Failed, Please check the configuration.');
return;
}
// Sleep for a short duration before checking the job status again.
await new Promise(resolve => {
setTimeout(() => resolve(), 30000);
});
numOfAttempts -= 1;
}
// Print out the results.
const infoTypeStats = job.inspectDetails.result.infoTypeStats;
if (infoTypeStats.length > 0) {
infoTypeStats.forEach(infoTypeStat => {
console.log(
` Found ${infoTypeStat.count} instance(s) of infoType ${infoTypeStat.infoType.name}.`
);
});
} else {
console.log('No findings.');
}
}
await deidentifyCloudStorage();PHP
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
use Google\Cloud\Dlp\V2\Action;
use Google\Cloud\Dlp\V2\Action\Deidentify;
use Google\Cloud\Dlp\V2\BigQueryTable;
use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\CloudStorageOptions;
use Google\Cloud\Dlp\V2\CloudStorageOptions\FileSet;
use Google\Cloud\Dlp\V2\CreateDlpJobRequest;
use Google\Cloud\Dlp\V2\DlpJob\JobState;
use Google\Cloud\Dlp\V2\FileType;
use Google\Cloud\Dlp\V2\GetDlpJobRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectJobConfig;
use Google\Cloud\Dlp\V2\StorageConfig;
use Google\Cloud\Dlp\V2\TransformationConfig;
use Google\Cloud\Dlp\V2\TransformationDetailsStorageConfig;
/**
* De-identify sensitive data stored in Cloud Storage using the API.
* Create an inspection job that has a de-identification action.
*
* @param string $callingProjectId The project ID to run the API call under.
* @param string $inputgcsPath The Cloud Storage directory that you want to de-identify.
* @param string $outgcsPath The Cloud Storage directory where you want to store the
* de-identified files.
* @param string $deidentifyTemplateName The full resource name of the default de-identify template — for
* unstructured and structured files — if you created one. This value
* must be in the format
* `projects/projectName/(locations/locationId)/deidentifyTemplates/templateName`.
* @param string $structuredDeidentifyTemplateName The full resource name of the de-identify template for structured
* files if you created one. This value must be in the format
* `projects/projectName/(locations/locationId)/deidentifyTemplates/templateName`.
* @param string $imageRedactTemplateName The full resource name of the image redaction template for images if
* you created one. This value must be in the format
* `projects/projectName/(locations/locationId)/deidentifyTemplates/templateName`.
* @param string $datasetId The ID of the BigQuery dataset where you want to store
* the transformation details. If you don't provide a table ID, the
* system automatically creates one.
* @param string $tableId The ID of the BigQuery table where you want to store the
* transformation details.
*/
function deidentify_cloud_storage(
// TODO(developer): Replace sample parameters before running the code.
string $callingProjectId,
string $inputgcsPath = 'gs://YOUR_GOOGLE_STORAGE_BUCKET',
string $outgcsPath = 'gs://YOUR_GOOGLE_STORAGE_BUCKET',
string $deidentifyTemplateName = 'YOUR_DEIDENTIFY_TEMPLATE_NAME',
string $structuredDeidentifyTemplateName = 'YOUR_STRUCTURED_DEIDENTIFY_TEMPLATE_NAME',
string $imageRedactTemplateName = 'YOUR_IMAGE_REDACT_DEIDENTIFY_TEMPLATE_NAME',
string $datasetId = 'YOUR_DATASET_ID',
string $tableId = 'YOUR_TABLE_ID'
): void {
// Instantiate a client.
$dlp = new DlpServiceClient();
$parent = "projects/$callingProjectId/locations/global";
// Specify the GCS Path to be de-identify.
$cloudStorageOptions = (new CloudStorageOptions())
->setFileSet((new FileSet())
->setUrl($inputgcsPath));
$storageConfig = (new StorageConfig())
->setCloudStorageOptions(($cloudStorageOptions));
// Specify the type of info the inspection will look for.
$inspectConfig = (new InspectConfig())
->setInfoTypes([
(new InfoType())->setName('PERSON_NAME'),
(new InfoType())->setName('EMAIL_ADDRESS')
]);
// Specify the big query table to store the transformation details.
$transformationDetailsStorageConfig = (new TransformationDetailsStorageConfig())
->setTable((new BigQueryTable())
->setProjectId($callingProjectId)
->setDatasetId($datasetId)
->setTableId($tableId));
// Specify the de-identify template used for the transformation.
$transformationConfig = (new TransformationConfig())
->setDeidentifyTemplate(
DlpServiceClient::projectDeidentifyTemplateName($callingProjectId, $deidentifyTemplateName)
)
->setStructuredDeidentifyTemplate(
DlpServiceClient::projectDeidentifyTemplateName($callingProjectId, $structuredDeidentifyTemplateName)
)
->setImageRedactTemplate(
DlpServiceClient::projectDeidentifyTemplateName($callingProjectId, $imageRedactTemplateName)
);
$deidentify = (new Deidentify())
->setCloudStorageOutput($outgcsPath)
->setTransformationConfig($transformationConfig)
->setTransformationDetailsStorageConfig($transformationDetailsStorageConfig)
->setFileTypesToTransform([FileType::TEXT_FILE, FileType::IMAGE, FileType::CSV]);
$action = (new Action())
->setDeidentify($deidentify);
// Configure the inspection job we want the service to perform.
$inspectJobConfig = (new InspectJobConfig())
->setInspectConfig($inspectConfig)
->setStorageConfig($storageConfig)
->setActions([$action]);
// Send the job creation request and process the response.
$createDlpJobRequest = (new CreateDlpJobRequest())
->setParent($parent)
->setInspectJob($inspectJobConfig);
$job = $dlp->createDlpJob($createDlpJobRequest);
$numOfAttempts = 10;
do {
printf('Waiting for job to complete' . PHP_EOL);
sleep(30);
$getDlpJobRequest = (new GetDlpJobRequest())
->setName($job->getName());
$job = $dlp->getDlpJob($getDlpJobRequest);
if ($job->getState() == JobState::DONE) {
break;
}
$numOfAttempts--;
} while ($numOfAttempts > 0);
// Print finding counts.
printf('Job %s status: %s' . PHP_EOL, $job->getName(), JobState::name($job->getState()));
switch ($job->getState()) {
case JobState::DONE:
$infoTypeStats = $job->getInspectDetails()->getResult()->getInfoTypeStats();
if (count($infoTypeStats) === 0) {
printf('No findings.' . PHP_EOL);
} else {
foreach ($infoTypeStats as $infoTypeStat) {
printf(
' Found %s instance(s) of infoType %s' . PHP_EOL,
$infoTypeStat->getCount(),
$infoTypeStat->getInfoType()->getName()
);
}
}
break;
case JobState::FAILED:
printf('Job %s had errors:' . PHP_EOL, $job->getName());
$errors = $job->getErrors();
foreach ($errors as $error) {
var_dump($error->getDetails());
}
break;
case JobState::PENDING:
printf('Job has not completed. Consider a longer timeout or an asynchronous execution model' . PHP_EOL);
break;
default:
printf('Unexpected job state. Most likely, the job is either running or has not yet started.');
}
}Python
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
import time
from typing import List
import google.cloud.dlp
def deidentify_cloud_storage(
project: str,
input_gcs_bucket: str,
output_gcs_bucket: str,
info_types: List[str],
deid_template_id: str,
structured_deid_template_id: str,
image_redact_template_id: str,
dataset_id: str,
table_id: str,
timeout: int = 300,
) -> None:
"""
Uses the Data Loss Prevention API to de-identify files in a Google Cloud
Storage directory.
Args:
project: The Google Cloud project id to use as a parent resource.
input_gcs_bucket: The name of google cloud storage bucket to inspect.
output_gcs_bucket: The name of google cloud storage bucket where
de-identified files would be stored.
info_types: A list of strings representing info types to look for.
A full list of info type categories can be fetched from the API.
deid_template_id: The name of the de-identify template for
unstructured and structured files.
structured_deid_template_id: The name of the de-identify template
for structured files.
image_redact_template_id: The name of the image redaction template
for images.
dataset_id: The identifier of the BigQuery dataset where transformation
details would be stored.
table_id: The identifier of the BigQuery table where transformation
details would be stored.
timeout: The number of seconds to wait for a response from the API.
"""
# Instantiate a client.
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Construct the configuration dictionary.
# Specify the type of info the inspection will look for.
# See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types.
inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}
# Construct cloud_storage_options dictionary with the bucket's URL.
storage_config = {
"cloud_storage_options": {"file_set": {"url": f"gs://{input_gcs_bucket}"}}
}
# Specify the big query table to store the transformation details.
big_query_table = {
"project_id": project,
"dataset_id": dataset_id,
"table_id": table_id,
}
# Convert the project id into a full resource id.
parent = f"projects/{project}/locations/global"
# Construct Transformation Configuration with de-identify Templates used
# for transformation.
transformation_config = {
"deidentify_template": f"{parent}/deidentifyTemplates/{deid_template_id}",
"structured_deidentify_template": f"{parent}/deidentifyTemplates/{structured_deid_template_id}",
"image_redact_template": f"{parent}/deidentifyTemplates/{image_redact_template_id}",
}
# Tell the API where to send notification when the job is completed.
actions = [
{
"deidentify": {
"cloud_storage_output": f"gs://{output_gcs_bucket}",
"transformation_config": transformation_config,
"transformation_details_storage_config": {"table": big_query_table},
"file_types_to_transform": ["IMAGE", "CSV", "TEXT_FILE"],
}
}
]
# Construct the job definition.
inspect_job = {
"inspect_config": inspect_config,
"storage_config": storage_config,
"actions": actions,
}
# Call the API.
response = dlp.create_dlp_job(
request={
"parent": parent,
"inspect_job": inspect_job,
}
)
job_name = response.name
print(f"Inspection Job started : {job_name}")
# Waiting for the job to get completed.
job = dlp.get_dlp_job(request={"name": job_name})
# Since the sleep time is kept as 30s, number of calls would be timeout/30.
no_of_attempts = timeout // 30
while no_of_attempts != 0:
# Check if the job has completed.
if job.state == google.cloud.dlp_v2.DlpJob.JobState.DONE:
break
if job.state == google.cloud.dlp_v2.DlpJob.JobState.FAILED:
print("Job Failed, Please check the configuration.")
break
# Sleep for a short duration before checking the job status again.
time.sleep(30)
no_of_attempts -= 1
# Get DLP job status.
job = dlp.get_dlp_job(request={"name": job_name})
if job.state != google.cloud.dlp_v2.DlpJob.JobState.DONE:
print(f"Job did not complete within {timeout} minutes.")
return
# Print out the results.
print(f"Job name: {job.name}")
result = job.inspect_details.result
print(f"Processed Bytes: {result.processed_bytes}")
if result.info_type_stats:
for stats in result.info_type_stats:
print(f"Info type: {stats.info_type.name}")
print(f"Count: {stats.count}")
else:
print("No findings.")
Nächste Schritte
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