Cloud DLP Client Libraries

This page shows how to get started with the Cloud Client Libraries for the Cloud Data Loss Prevention API. Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

Cloud DLP client libraries mentioned on this page are supported on Compute Engine, App Engine - Flexible Environment, Google Kubernetes Engine, and Cloud Functions. Cloud DLP client library for Java is supported on Java 8 on App Engine standard environment.

If you are using Java 7 on App Engine standard environment, or App Engine - Standard environment with Go, PHP, or Python, use the REST Interface to access Cloud DLP.

Installing the client library

C#

For more information, see Setting Up a C# Development Environment.

To build and run a sample, open the solution file (Dlp.sln) with Visual Studio 2015 or later and build it.

For more information, see the README.

Go

For more information, see Setting Up a Go Development Environment.

go get -u github.com/GoogleCloudPlatform/golang-samples/dlp

Java

For more information, see Setting Up a Java Development Environment.

If you are using Maven, add this to your pom.xml file:

<dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-dlp</artifactId>
    <version></version>
</dependency>

If you are using Gradle, add this to your dependencies:

compile group: 'com.google.cloud', name: 'google-cloud-dlp', version: ''

Node.js

For more information, see Setting Up a Node.js Development Environment.

npm install --save @google-cloud/dlp

PHP

For more information, see Using PHP on Google Cloud.

composer require google/cloud-dlp

Note: Cloud DLP client library requires you install and enable the gRPC Extension for PHP.

Python

For more information, see Setting Up a Python Development Environment.

1. Install pip and virtualenv if you do not already have them. You may want to refer to the Python Development Environment Setup Guide for Google Cloud for instructions.
2. Clone or download the Google Cloud Python Docs Samples on GitHub.
3. Create a virtualenv. Samples are compatible with Python 2.7.x and 3.4 and higher.

   $ python -m venv venv
   $ source env/bin/activate

4. From the dlp directory within the cloned or unzipped Google Cloud Python Docs Samples directory, install the dependencies needed to run the samples.

   $ pip install -r requirements.txt

Important: You must cd into the Google Cloud Python Docs Samples' dlp directory before running the previous command.

Ruby

For more information, see Setting Up a Ruby Development Environment.

gem install google-api-client

Setting up authentication

To run the client library, you must first set up authentication by creating a service account and setting an environment variable. Complete the following steps to set up authentication. For other ways to authenticate, see the GCP authentication documentation.

Cloud Console

1. In the Cloud Console, go to the Create service account key page.

   Go to the Create Service Account Key page
2. From the Service account list, select New service account.
3. In the Service account name field, enter a name.

4. From the Role list, select Project > Owner.

   Note: The Role field affects which resources your service account can access in your project. You can revoke these roles or grant additional roles later. In production environments, do not grant the Owner, Editor, or Viewer roles. For more information, see Granting, changing, and revoking access to resources.
5. Click Create. A JSON file that contains your key downloads to your computer.

Command line

You can run the following commands using the Cloud SDK on your local machine, or in Cloud Shell.

1. Create the service account. Replace NAME with a name for the service account.

   gcloud iam service-accounts create NAME

2. Grant permissions to the service account. Replace PROJECT_ID with your project ID.

   gcloud projects add-iam-policy-binding PROJECT_ID --member="serviceAccount:NAME@PROJECT_ID.iam.gserviceaccount.com" --role="roles/owner"

   Note: The --role flag affects which resources your service account can access in your project. You can revoke these roles or grant additional roles later. In production environments, do not grant the Owner, Editor, or Viewer roles. For more information, see Granting, changing, and revoking access to resources.

3. Generate the key file. Replace FILE_NAME with a name for the key file.

   gcloud iam service-accounts keys create FILE_NAME.json --iam-account=NAME@PROJECT_ID.iam.gserviceaccount.com

Provide authentication credentials to your application code by setting the environment variable GOOGLE_APPLICATION_CREDENTIALS. Replace [PATH] with the file path of the JSON file that contains your service account key. This variable only applies to your current shell session, so if you open a new session, set the variable again.

Linux or macOS

export GOOGLE_APPLICATION_CREDENTIALS="[PATH]"

For example:

export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/my-key.json"

Windows

With PowerShell:

$env:GOOGLE_APPLICATION_CREDENTIALS="[PATH]"

For example:

$env:GOOGLE_APPLICATION_CREDENTIALS="C:\Users\username\Downloads\my-key.json"

With command prompt:

set GOOGLE_APPLICATION_CREDENTIALS=[PATH]

Using the client library

The following example shows how to use the client library.

Go

To learn how to install and use the client library for Cloud DLP, see the Cloud DLP Client Libraries.

View on GitHub Feedback

// The quickstart program is an example of using the Data Loss Prevention API.
package main

import (
	"context"
	"fmt"
	"log"

	dlp "cloud.google.com/go/dlp/apiv2"
	dlppb "google.golang.org/genproto/googleapis/privacy/dlp/v2"
)

func main() {
	ctx := context.Background()

	projectID := "PROJECT_ID"

	// Creates a DLP client.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		log.Fatalf("error creating DLP client: %v", err)
	}

	// The string to inspect.
	input := "Robert Frost"

	// The minimum likelihood required before returning a match.
	minLikelihood := dlppb.Likelihood_POSSIBLE

	// The maximum number of findings to report (0 = server maximum).
	maxFindings := int32(0)

	// Whether to include the matching string.
	includeQuote := true

	// The infoTypes of information to match.
	infoTypes := []*dlppb.InfoType{
		{
			Name: "PERSON_NAME",
		},
		{
			Name: "US_STATE",
		},
	}

	// Construct item to inspect.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: input,
		},
	}

	// Construct request.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes:     infoTypes,
			MinLikelihood: minLikelihood,
			Limits: &dlppb.InspectConfig_FindingLimits{
				MaxFindingsPerRequest: maxFindings,
			},
			IncludeQuote: includeQuote,
		},
		Item: item,
	}

	// Run request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		log.Fatal(err)
	}
	findings := resp.GetResult().GetFindings()
	if len(findings) == 0 {
		fmt.Println("No findings.")
	}
	fmt.Println("Findings:")
	for _, f := range findings {
		if includeQuote {
			fmt.Println("\tQuote: ", f.GetQuote())
		}
		fmt.Println("\tInfo type: ", f.GetInfoType().GetName())
		fmt.Println("\tLikelihood: ", f.GetLikelihood())
	}
}

Java

To learn how to install and use the client library for Cloud DLP, see the Cloud DLP Client Libraries.

View on GitHub Feedback

import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ByteContentItem;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.Finding;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.InspectContentRequest;
import com.google.privacy.dlp.v2.InspectContentResponse;
import com.google.privacy.dlp.v2.InspectResult;
import com.google.privacy.dlp.v2.Likelihood;
import com.google.privacy.dlp.v2.LocationName;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.Stream;

public class QuickStart {

  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    quickstart(projectId);
  }

  public static void quickstart(String projectId) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
      // Configure that content that will be inspected
      String text = "His name was Robert Frost";
      ByteContentItem byteContentItem =
          ByteContentItem.newBuilder()
              .setType(ByteContentItem.BytesType.TEXT_UTF8)
              .setData(ByteString.copyFromUtf8(text))
              .build();
      ContentItem contentItem = ContentItem.newBuilder().setByteItem(byteContentItem).build();

      // The types of information to match:
      // See: https://cloud.google.com/dlp/docs/infotypes-reference
      List<InfoType> infoTypes =
          Stream.of("PERSON_NAME", "US_STATE")
              .map(it -> InfoType.newBuilder().setName(it).build())
              .collect(Collectors.toList());

      // The minimum likelihood required before returning a match:
      // See: https://cloud.google.com/dlp/docs/likelihood
      Likelihood minLikelihood = Likelihood.POSSIBLE;

      // The maximum number of findings to report (0 = server maximum)
      InspectConfig.FindingLimits findingLimits =
          InspectConfig.FindingLimits.newBuilder().setMaxFindingsPerItem(0).build();

      // Specify the inspection configuration
      InspectConfig inspectConfig =
          InspectConfig.newBuilder()
              .addAllInfoTypes(infoTypes)
              .setMinLikelihood(minLikelihood)
              .setLimits(findingLimits)
              .setIncludeQuote(true)
              .build();

      // Create the request from previous configs
      InspectContentRequest request =
          InspectContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setInspectConfig(inspectConfig)
              .setItem(contentItem)
              .build();

      // Send the request to the service and receive the results
      InspectContentResponse response = dlpServiceClient.inspectContent(request);

      // Process the results
      System.out.println("Inspect of text complete: ");
      InspectResult result = response.getResult();
      if (result.getFindingsCount() < 0) {
        System.out.println("No findings.");
        return;
      }
      System.out.println("Findings: ");
      for (Finding finding : result.getFindingsList()) {
        System.out.println("\tQuote: " + finding.getQuote());
        System.out.println("\tInfo type: " + finding.getInfoType().getName());
        System.out.println("\tLikelihood: " + finding.getLikelihood());
      }
    }
  }
}

Node.js

To learn how to install and use the client library for Cloud DLP, see the Cloud DLP Client Libraries.

View on GitHub Feedback

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The string to inspect
const string = 'Robert Frost';

// The project ID to run the API call under
// const projectId = 'my-project';

async function quickStart() {
  // The minimum likelihood required before returning a match
  const minLikelihood = 'LIKELIHOOD_UNSPECIFIED';

  // The maximum number of findings to report (0 = server maximum)
  const maxFindings = 0;

  // The infoTypes of information to match
  const infoTypes = [{name: 'PERSON_NAME'}, {name: 'US_STATE'}];

  // Whether to include the matching string
  const includeQuote = true;

  // Construct item to inspect
  const item = {value: string};

  // Construct request
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: {
      infoTypes: infoTypes,
      minLikelihood: minLikelihood,
      limits: {
        maxFindingsPerRequest: maxFindings,
      },
      includeQuote: includeQuote,
    },
    item: item,
  };

  // Run request
  const [response] = await dlp.inspectContent(request);
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log('Findings:');
    findings.forEach(finding => {
      if (includeQuote) {
        console.log(`\tQuote: ${finding.quote}`);
      }
      console.log(`\tInfo type: ${finding.infoType.name}`);
      console.log(`\tLikelihood: ${finding.likelihood}`);
    });
  } else {
    console.log('No findings.');
  }
}
quickStart();

PHP

To learn how to install and use the client library for Cloud DLP, see the Cloud DLP Client Libraries.

View on GitHub Feedback

use Google\Cloud\Dlp\V2\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\InspectConfig\FindingLimits;

// Instantiate a client.
$dlp = new DlpServiceClient();

// The infoTypes of information to match
$usNameInfoType = (new InfoType())
    ->setName('PERSON_NAME');
$phoneNumberInfoType = (new InfoType())
    ->setName('PHONE_NUMBER');
$infoTypes = [$usNameInfoType, $phoneNumberInfoType];

// Set the string to inspect
$stringToInspect = 'Robert Frost';

// Only return results above a likelihood threshold, 0 for all
$minLikelihood = likelihood::LIKELIHOOD_UNSPECIFIED;

// Limit the number of findings, 0 for no limit
$maxFindings = 0;

// Whether to include the matching string in the response
$includeQuote = true;

// Specify finding limits
$limits = (new FindingLimits())
    ->setMaxFindingsPerRequest($maxFindings);

// Create the configuration object
$inspectConfig = (new InspectConfig())
    ->setMinLikelihood($minLikelihood)
    ->setLimits($limits)
    ->setInfoTypes($infoTypes)
    ->setIncludeQuote($includeQuote);

$content = (new ContentItem())
    ->setValue($stringToInspect);

$parent = $dlp->projectName(getEnv('GOOGLE_PROJECT_ID'));

// Run request
$response = $dlp->inspectContent([
    'parent' => $parent,
    'inspectConfig' => $inspectConfig,
    'item' => $content
]);

// Print the results
$findings = $response->getResult()->getFindings();
if (count($findings) == 0) {
    print('No findings.' . PHP_EOL);
} else {
    print('Findings:' . PHP_EOL);
    foreach ($findings as $finding) {
        if ($includeQuote) {
            print('  Quote: ' . $finding->getQuote() . PHP_EOL);
        }
        print('  Info type: ' . $finding->getInfoType()->getName() . PHP_EOL);
        $likelihoodString = Likelihood::name($finding->getLikelihood());
        print('  Likelihood: ' . $likelihoodString . PHP_EOL);
    }
}

Python

To learn how to install and use the client library for Cloud DLP, see the Cloud DLP Client Libraries.

View on GitHub Feedback

# Import the client library
import google.cloud.dlp

# Instantiate a client.
dlp_client = google.cloud.dlp_v2.DlpServiceClient()

# The string to inspect
content = "Robert Frost"

# Construct the item to inspect.
item = {"value": content}

# The info types to search for in the content. Required.
info_types = [{"name": "FIRST_NAME"}, {"name": "LAST_NAME"}]

# The minimum likelihood to constitute a match. Optional.
min_likelihood = google.cloud.dlp_v2.Likelihood.LIKELIHOOD_UNSPECIFIED

# The maximum number of findings to report (0 = server maximum). Optional.
max_findings = 0

# Whether to include the matching string in the results. Optional.
include_quote = True

# Construct the configuration dictionary. Keys which are None may
# optionally be omitted entirely.
inspect_config = {
    "info_types": info_types,
    "min_likelihood": min_likelihood,
    "include_quote": include_quote,
    "limits": {"max_findings_per_request": max_findings},
}

# Convert the project id into a full resource id.
parent = f"projects/{project_id}"

# Call the API.
response = dlp_client.inspect_content(
    request={"parent": parent, "inspect_config": inspect_config, "item": item}
)

# Print out the results.
if response.result.findings:
    for finding in response.result.findings:
        try:
            print("Quote: {}".format(finding.quote))
        except AttributeError:
            pass
        print("Info type: {}".format(finding.info_type.name))
        # Convert likelihood value to string respresentation.
        likelihood = finding.likelihood.name
        print("Likelihood: {}".format(likelihood))
else:
    print("No findings.")

Additional resources

C#

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Go

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Java

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Node.js

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

PHP

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Python

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Ruby

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow