Inspecter du texte pour identifier les données sensibles

La protection des données sensibles peut détecter et classifier les données sensibles contenues dans du texte. Cette fonctionnalité analyse les chaînes de texte fournies en entrée, puis renvoie des informations détaillées sur tous les infoTypes trouvés, ainsi qu'une valeur de probabilité et des informations de décalage (offset).

Bonnes pratiques

Identifier et hiérarchiser l'analyse

Il est important d'identifier vos ressources et de spécifier la priorité la plus élevée pour l'analyse. Lorsque vous commencez, il est possible que vous ayez un important volume de données à classer, et qu'il soit impossible de toutes les analyser immédiatement. Choisissez d'abord les données qui présentent le risque le plus élevé (par exemple, les données fréquemment consultées, largement accessibles ou inconnues).

Latence réduite

La latence dépend de plusieurs facteurs : la quantité de données à analyser, le dépôt de stockage analysé, et le type et le nombre d'infoTypes activés.

Pour réduire la latence des tâches, essayez les solutions suivantes :

  • Activez l'échantillonnage.
  • Évitez d'activer les infoTypes dont vous n'avez pas besoin. Bien qu'utiles dans certains scénarios, certains infoTypes (y compris PERSON_NAME, FEMALE_NAME, MALE_NAME, FIRST_NAME, LAST_NAME, DATE_OF_BIRTH, LOCATION, STREET_ADDRESS, ORGANIZATION_NAME) peuvent fortement ralentir l'exécution des requêtes en comparaison à des requêtes sans ces infoTypes.
  • Spécifiez toujours les infoTypes explicitement. N'utilisez pas de liste d'infoTypes vide.
  • Pensez à organiser les données à inspecter dans une table avec des lignes et des colonnes, si possible, pour réduire les allers-retours du réseau.

Limiter la portée de vos premières analyses

Pour de meilleurs résultats, limitez la portée de vos premières analyses plutôt que d'analyser toutes vos données. Commencez par quelques requêtes. Vos résultats seront plus significatifs si vous affinez les détecteurs à activer et les règles d'exclusion nécessaires pour réduire les faux positifs. Évitez d'activer les infoTypes dont vous n'avez pas besoin, car des faux positifs ou des résultats inutilisables peuvent compliquer l'évaluation du risque. Même s'ils peuvent être utiles dans certains cas, certains infoTypes tels que DATE, TIME, DOMAIN_NAME et URL détectent un large éventail de résultats et peuvent ne pas être utiles à activer.

Analyses sur site, hybrides et multicloud

Si les données à analyser se trouvent sur site ou en dehors de Google Cloud, utilisez les méthodes API content.inspect et content.deidentify pour analyser le contenu afin de classer les résultats et pseudonymiser du contenu sans le conserver en dehors de votre espace de stockage local.

Inspecter une chaîne de texte

Voici un exemple d'entrée JSON et de code dans plusieurs langages qui montre comment rechercher des données sensibles dans des chaînes de texte à l'aide de l'API DLP.

C#

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 


using System;
using System.Collections.Generic;
using System.Linq;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using static Google.Cloud.Dlp.V2.InspectConfig.Types;

public class InspectString
{
    public static InspectContentResponse Inspect(
        string projectId,
        string dataValue,
        string minLikelihood,
        int maxFindings,
        bool includeQuote,
        IEnumerable<InfoType> infoTypes,
        IEnumerable<CustomInfoType> customInfoTypes)
    {
        var inspectConfig = new InspectConfig
        {
            MinLikelihood = (Likelihood)Enum.Parse(typeof(Likelihood), minLikelihood, true),
            Limits = new FindingLimits
            {
                MaxFindingsPerRequest = maxFindings
            },
            IncludeQuote = includeQuote,
            InfoTypes = { infoTypes },
            CustomInfoTypes = { customInfoTypes }
        };
        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = new ContentItem
            {
                Value = dataValue
            },
            InspectConfig = inspectConfig
        };

        var dlp = DlpServiceClient.Create();
        var response = dlp.InspectContent(request);

        PrintResponse(includeQuote, response);

        return response;
    }

    private static void PrintResponse(bool includeQuote, InspectContentResponse response)
    {
        var findings = response.Result.Findings;
        if (findings.Any())
        {
            Console.WriteLine("Findings:");
            foreach (var finding in findings)
            {
                if (includeQuote)
                {
                    Console.WriteLine($"  Quote: {finding.Quote}");
                }
                Console.WriteLine($"  InfoType: {finding.InfoType}");
                Console.WriteLine($"  Likelihood: {finding.Likelihood}");
            }
        }
        else
        {
            Console.WriteLine("No findings.");
        }
    }
}

Go

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// inspectString inspects the a given string, and prints results.
func inspectString(w io.Writer, projectID, textToInspect string) error {
	// projectID := "my-project-id"
	// textToInspect := "My name is Gary and my email is gary@example.com"
	ctx := context.Background()

	// Initialize client.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}
	defer client.Close() // Closing the client safely cleans up background resources.

	// Create and send the request.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: textToInspect,
			},
		},
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: []*dlppb.InfoType{
				{Name: "PHONE_NUMBER"},
				{Name: "EMAIL_ADDRESS"},
				{Name: "CREDIT_CARD_NUMBER"},
			},
			IncludeQuote: true,
		},
	}
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	result := resp.Result
	fmt.Fprintf(w, "Findings: %d\n", len(result.Findings))
	for _, f := range result.Findings {
		fmt.Fprintf(w, "\tQuote: %s\n", f.Quote)
		fmt.Fprintf(w, "\tInfo type: %s\n", f.InfoType.Name)
		fmt.Fprintf(w, "\tLikelihood: %s\n", f.Likelihood)
	}
	return nil
}

Java

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ByteContentItem;
import com.google.privacy.dlp.v2.ByteContentItem.BytesType;
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.LocationName;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

public class InspectString {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "My name is Gary and my email is gary@example.com";
    inspectString(projectId, textToInspect);
  }

  // Inspects the provided text.
  public static void inspectString(String projectId, String textToInspect) 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 dlp = DlpServiceClient.create()) {
      // Specify the type and content to be inspected.
      ByteContentItem byteItem =
          ByteContentItem.newBuilder()
              .setType(BytesType.TEXT_UTF8)
              .setData(ByteString.copyFromUtf8(textToInspect))
              .build();
      ContentItem item = ContentItem.newBuilder().setByteItem(byteItem).build();

      // Specify the type of info the inspection will look for.
      List<InfoType> infoTypes = new ArrayList<>();
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      for (String typeName : new String[] {"PHONE_NUMBER", "EMAIL_ADDRESS", "CREDIT_CARD_NUMBER"}) {
        infoTypes.add(InfoType.newBuilder().setName(typeName).build());
      }

      // Construct the configuration for the Inspect request.
      InspectConfig config =
          InspectConfig.newBuilder().addAllInfoTypes(infoTypes).setIncludeQuote(true).build();

      // Construct the Inspect request to be sent by the client.
      InspectContentRequest request =
          InspectContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setInspectConfig(config)
              .build();

      // Use the client to send the API request.
      InspectContentResponse response = dlp.inspectContent(request);

      // Parse the response and process results
      System.out.println("Findings: " + response.getResult().getFindingsCount());
      for (Finding f : response.getResult().getFindingsList()) {
        System.out.println("\tQuote: " + f.getQuote());
        System.out.println("\tInfo type: " + f.getInfoType().getName());
        System.out.println("\tLikelihood: " + f.getLikelihood());
      }
    }
  }
}

Node.js

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

// Imports the Google Cloud Data Loss Prevention 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 string to inspect
// const string = 'My name is Gary and my email is gary@example.com';

// The minimum likelihood required before returning a match
// const minLikelihood = 'LIKELIHOOD_UNSPECIFIED';

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

// The infoTypes of information to match
// const infoTypes = [{ name: 'PHONE_NUMBER' }, { name: 'EMAIL_ADDRESS' }, { name: 'CREDIT_CARD_NUMBER' }];

// The customInfoTypes of information to match
// const customInfoTypes = [{ infoType: { name: 'DICT_TYPE' }, dictionary: { wordList: { words: ['foo', 'bar', 'baz']}}},
//   { infoType: { name: 'REGEX_TYPE' }, regex: {pattern: '\\(\\d{3}\\) \\d{3}-\\d{4}'}}];

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

async function inspectString() {
  // Construct item to inspect
  const item = {value: string};

  // Construct request
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: {
      infoTypes: infoTypes,
      customInfoTypes: customInfoTypes,
      minLikelihood: minLikelihood,
      includeQuote: includeQuote,
      limits: {
        maxFindingsPerRequest: maxFindings,
      },
    },
    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.');
  }
}
inspectString();

PHP

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

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

/**
 * @param string $projectId
 * @param string $textToInspect
 */
function inspect_string(string $projectId, string $textToInspect): void
{
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Construct request
    $parent = "projects/$projectId/locations/global";
    $item = (new ContentItem())
        ->setValue($textToInspect);
    $inspectConfig = (new InspectConfig())
        // The infoTypes of information to match
        ->setInfoTypes([
            (new InfoType())->setName('PHONE_NUMBER'),
            (new InfoType())->setName('EMAIL_ADDRESS'),
            (new InfoType())->setName('CREDIT_CARD_NUMBER')
        ])
        // Whether to include the matching string
        ->setIncludeQuote(true);

    // Run request
    $inspectContentRequest = (new InspectContentRequest())
        ->setParent($parent)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->inspectContent($inspectContentRequest);

    // 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) {
            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

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

from typing import List

import google.cloud.dlp


def inspect_string(
    project: str,
    content_string: str,
    info_types: List[str],
    custom_dictionaries: List[str] = None,
    custom_regexes: List[str] = None,
    min_likelihood: str = None,
    max_findings: str = None,
    include_quote: bool = True,
) -> None:
    """Uses the Data Loss Prevention API to analyze strings for protected data.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.
        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.
        min_likelihood: A string representing the minimum likelihood threshold
            that constitutes a match. One of: 'LIKELIHOOD_UNSPECIFIED',
            'VERY_UNLIKELY', 'UNLIKELY', 'POSSIBLE', 'LIKELY', 'VERY_LIKELY'.
        max_findings: The maximum number of findings to report; 0 = no maximum.
        include_quote: Boolean for whether to display a quote of the detected
            information in the results.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Prepare info_types by converting the list of strings into a list of
    # dictionaries (protos are also accepted).
    info_types = [{"name": info_type} for info_type in info_types]

    # Prepare custom_info_types by parsing the dictionary word lists and
    # regex patterns.
    if custom_dictionaries is None:
        custom_dictionaries = []
    dictionaries = [
        {
            "info_type": {"name": f"CUSTOM_DICTIONARY_{i}"},
            "dictionary": {"word_list": {"words": custom_dict.split(",")}},
        }
        for i, custom_dict in enumerate(custom_dictionaries)
    ]
    if custom_regexes is None:
        custom_regexes = []
    regexes = [
        {
            "info_type": {"name": f"CUSTOM_REGEX_{i}"},
            "regex": {"pattern": custom_regex},
        }
        for i, custom_regex in enumerate(custom_regexes)
    ]
    custom_info_types = dictionaries + regexes

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

    # Construct the `item`.
    item = {"value": content_string}

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

    # Call the API.
    response = dlp.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:
                if finding.quote:
                    print(f"Quote: {finding.quote}")
            except AttributeError:
                pass
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

Ruby

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

# project_id   = "Your Google Cloud project ID"
# content      = "The text to inspect"
# max_findings = "Maximum number of findings to report per request (0 = server maximum)"

require "google/cloud/dlp"

dlp = Google::Cloud::Dlp.dlp_service
inspect_config = {
  # The types of information to match
  info_types:     [{ name: "PERSON_NAME" }, { name: "US_STATE" }],

  # Only return results above a likelihood threshold (0 for all)
  min_likelihood: :POSSIBLE,

  # Limit the number of findings (0 for no limit)
  limits:         { max_findings_per_request: max_findings },

  # Whether to include the matching string in the response
  include_quote:  true
}

# The item to inspect
item_to_inspect = { value: content }

# Run request
parent = "projects/#{project_id}/locations/global"
response = dlp.inspect_content parent:         parent,
                               inspect_config: inspect_config,
                               item:           item_to_inspect

# Print the results
if response.result.findings.empty?
  puts "No findings"
else
  response.result.findings.each do |finding|
    puts "Quote:      #{finding.quote}"
    puts "Info type:  #{finding.info_type.name}"
    puts "Likelihood: #{finding.likelihood}"
  end
end

REST

Pour découvrir comment utiliser le format JSON avec l'API DLP, consultez le démarrage rapide JSON.

Entrée JSON :

POST https://dlp.googleapis.com/v2/projects/[PROJECT_ID]/content:inspect?key={YOUR_API_KEY}

{
  "item":{
    "value":"My phone number is (415) 555-0890"
  },
  "inspectConfig":{
    "includeQuote":true,
    "minLikelihood":"POSSIBLE",
    "infoTypes":{
      "name":"PHONE_NUMBER"
    }
  }
}

Sortie JSON :

{
  "result":{
    "findings":[
      {
        "quote":"(415) 555-0890",
        "infoType":{
          "name":"PHONE_NUMBER"
        },
        "likelihood":"VERY_LIKELY",
        "location":{
          "byteRange":{
            "start":"19",
            "end":"33"
          },
          "codepointRange":{
            "start":"19",
            "end":"33"
          }
        },
        "createTime":"2018-11-13T19:29:15.412Z"
      }
    ]
  }
}

Inspecter un fichier texte

Les exemples de code ci-dessous montrent comment procéder pour identifier les contenus sensibles dans un fichier texte.

C#

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 


using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.ByteContentItem.Types;

public class DlpInspectFile
{
    public static IEnumerable<Finding> InspectFile(string projectId, string filePath, BytesType fileType)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Get the bytes from the file.
        ByteString fileBytes;
        using (Stream f = new FileStream(filePath, FileMode.Open))
        {
            fileBytes = ByteString.FromStream(f);
        }

        // Construct a request.
        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = new ContentItem
            {
                ByteItem = new ByteContentItem()
                {
                    Data = fileBytes,
                    Type = fileType
                }
            },
            InspectConfig = new InspectConfig
            {
                // The info types of information to match
                InfoTypes =
                {
                    new InfoType { Name = "PHONE_NUMBER" },
                    new InfoType { Name = "EMAIL_ADDRESS" },
                    new InfoType { Name = "CREDIT_CARD_NUMBER" }
                },
                // The minimum likelihood before returning a match
                MinLikelihood = Likelihood.Unspecified,
                // Whether to include the matching string
                IncludeQuote = true,
                Limits = new InspectConfig.Types.FindingLimits
                {
                    // The maximum number of findings to report per request
                    // (0 = server maximum)
                    MaxFindingsPerRequest = 0
                }
            }
        };

        // Execute request
        var response = dlp.InspectContent(request);

        // Inspect response
        var findings = response.Result.Findings;
        if (findings.Any())
        {
            Console.WriteLine("Findings:");
            foreach (var finding in findings)
            {
                Console.WriteLine($"Quote: {finding.Quote}");
                Console.WriteLine($"InfoType: {finding.InfoType}");
                Console.WriteLine($"Likelihood: {finding.Likelihood}");
            }
        }
        else
        {
            Console.WriteLine("No findings.");
        }
        return findings;
    }
}

Go

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

import (
	"context"
	"fmt"
	"io"
	"io/ioutil"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// inspectTextFile inspects a text file at a given filePath, and prints results.
func inspectTextFile(w io.Writer, projectID, filePath string) error {
	// projectID := "my-project-id"
	// filePath := "path/to/image.png"
	ctx := context.Background()

	// Initialize client.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}
	defer client.Close() // Closing the client safely cleans up background resources.

	// Gather the resources for the request.
	data, err := ioutil.ReadFile(filePath)
	if err != nil {
		return err
	}

	// Create and send the request.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_ByteItem{
				ByteItem: &dlppb.ByteContentItem{
					Type: dlppb.ByteContentItem_TEXT_UTF8,
					Data: data,
				},
			},
		},
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: []*dlppb.InfoType{
				{Name: "PHONE_NUMBER"},
				{Name: "EMAIL_ADDRESS"},
				{Name: "CREDIT_CARD_NUMBER"},
			},
			IncludeQuote: true,
		},
	}
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return fmt.Errorf("InspectContent: %w", err)
	}

	// Process the results.
	fmt.Fprintf(w, "Findings: %d\n", len(resp.Result.Findings))
	for _, f := range resp.Result.Findings {
		fmt.Fprintf(w, "\tQuote: %s\n", f.Quote)
		fmt.Fprintf(w, "\tInfo type: %s\n", f.InfoType.Name)
		fmt.Fprintf(w, "\tLikelihood: %s\n", f.Likelihood)
	}
	return nil
}

Java

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ByteContentItem;
import com.google.privacy.dlp.v2.ByteContentItem.BytesType;
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.LocationName;
import com.google.protobuf.ByteString;
import java.io.FileInputStream;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

public class InspectTextFile {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String filePath = "path/to/file.txt";
    inspectTextFile(projectId, filePath);
  }

  // Inspects the specified text file.
  public static void inspectTextFile(String projectId, String filePath) 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 dlp = DlpServiceClient.create()) {
      // Specify the type and content to be inspected.
      ByteString fileBytes = ByteString.readFrom(new FileInputStream(filePath));
      ByteContentItem byteItem =
          ByteContentItem.newBuilder().setType(BytesType.TEXT_UTF8).setData(fileBytes).build();
      ContentItem item = ContentItem.newBuilder().setByteItem(byteItem).build();

      // Specify the type of info the inspection will look for.
      List<InfoType> infoTypes = new ArrayList<>();
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      for (String typeName : new String[] {"PHONE_NUMBER", "EMAIL_ADDRESS", "CREDIT_CARD_NUMBER"}) {
        infoTypes.add(InfoType.newBuilder().setName(typeName).build());
      }

      // Construct the configuration for the Inspect request.
      InspectConfig config =
          InspectConfig.newBuilder().addAllInfoTypes(infoTypes).setIncludeQuote(true).build();

      // Construct the Inspect request to be sent by the client.
      InspectContentRequest request =
          InspectContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setInspectConfig(config)
              .build();

      // Use the client to send the API request.
      InspectContentResponse response = dlp.inspectContent(request);

      // Parse the response and process results
      System.out.println("Findings: " + response.getResult().getFindingsCount());
      for (Finding f : response.getResult().getFindingsList()) {
        System.out.println("\tQuote: " + f.getQuote());
        System.out.println("\tInfo type: " + f.getInfoType().getName());
        System.out.println("\tLikelihood: " + f.getLikelihood());
      }
    }
  }
}

Node.js

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Import other required libraries
const fs = require('fs');
const mime = require('mime');

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

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

// The path to a local file to inspect. Can be a text, JPG, or PNG file.
// const filepath = 'path/to/image.png';

// The minimum likelihood required before returning a match
// const minLikelihood = 'LIKELIHOOD_UNSPECIFIED';

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

// The infoTypes of information to match
// const infoTypes = [{ name: 'PHONE_NUMBER' }, { name: 'EMAIL_ADDRESS' }, { name: 'CREDIT_CARD_NUMBER' }];

// The customInfoTypes of information to match
// const customInfoTypes = [{ infoType: { name: 'DICT_TYPE' }, dictionary: { wordList: { words: ['foo', 'bar', 'baz']}}},
//   { infoType: { name: 'REGEX_TYPE' }, regex: {pattern: '\\(\\d{3}\\) \\d{3}-\\d{4}'}}];

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

async function inspectFile() {
  // Construct file data to inspect
  const fileTypeConstant =
    ['image/jpeg', 'image/bmp', 'image/png', 'image/svg'].indexOf(
      mime.getType(filepath)
    ) + 1;
  const fileBytes = Buffer.from(fs.readFileSync(filepath)).toString('base64');
  const item = {
    byteItem: {
      type: fileTypeConstant,
      data: fileBytes,
    },
  };

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

Python

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

import mimetypes
from typing import List
from typing import Optional

import google.cloud.dlp


def inspect_file(
    project: str,
    filename: str,
    info_types: List[str],
    min_likelihood: str = None,
    custom_dictionaries: List[str] = None,
    custom_regexes: List[str] = None,
    max_findings: Optional[int] = None,
    include_quote: bool = True,
    mime_type: str = None,
) -> None:
    """Uses the Data Loss Prevention API to analyze a file for protected data.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        filename: The path to the file to inspect.
        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.
        min_likelihood: A string representing the minimum likelihood threshold
            that constitutes a match. One of: 'LIKELIHOOD_UNSPECIFIED',
            'VERY_UNLIKELY', 'UNLIKELY', 'POSSIBLE', 'LIKELY', 'VERY_LIKELY'.
        max_findings: The maximum number of findings to report; 0 = no maximum.
        include_quote: Boolean for whether to display a quote of the detected
            information in the results.
        mime_type: The MIME type of the file. If not specified, the type is
            inferred via the Python standard library's mimetypes module.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Prepare info_types by converting the list of strings into a list of
    # dictionaries (protos are also accepted).
    if not info_types:
        info_types = ["FIRST_NAME", "LAST_NAME", "EMAIL_ADDRESS"]
    info_types = [{"name": info_type} for info_type in info_types]

    # Prepare custom_info_types by parsing the dictionary word lists and
    # regex patterns.
    if custom_dictionaries is None:
        custom_dictionaries = []
    dictionaries = [
        {
            "info_type": {"name": f"CUSTOM_DICTIONARY_{i}"},
            "dictionary": {"word_list": {"words": custom_dict.split(",")}},
        }
        for i, custom_dict in enumerate(custom_dictionaries)
    ]
    if custom_regexes is None:
        custom_regexes = []
    regexes = [
        {
            "info_type": {"name": f"CUSTOM_REGEX_{i}"},
            "regex": {"pattern": custom_regex},
        }
        for i, custom_regex in enumerate(custom_regexes)
    ]
    custom_info_types = dictionaries + regexes

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

    # If mime_type is not specified, guess it from the filename.
    if mime_type is None:
        mime_guess = mimetypes.MimeTypes().guess_type(filename)
        mime_type = mime_guess[0]

    # Select the content type index from the list of supported types.
    # https://github.com/googleapis/googleapis/blob/master/google/privacy/dlp/v2/dlp.proto / message ByteContentItem
    supported_content_types = {
        None: 0,  # "Unspecified" or BYTES_TYPE_UNSPECIFIED
        "image/jpeg": 1,  # IMAGE_JPEG
        "image/bmp": 2,  # IMAGE_BMP
        "image/png": 3,  # IMAGE_PNG
        "image/svg": 4,  # IMAGE_SVG - Adjusted to "image/svg+xml" for correct MIME type
        "text/plain": 5,  # TEXT_UTF8
        # Note: No specific MIME type for general "image", mapping to IMAGE for any image type not specified
        "image": 6,  # IMAGE - Any image type
        "application/msword": 7,  # WORD_DOCUMENT
        "application/pdf": 8,  # PDF
        "application/powerpoint": 9,  # POWERPOINT_DOCUMENT
        "application/msexcel": 10,  # EXCEL_DOCUMENT
        "application/avro": 11,  # AVRO
        "text/csv": 12,  # CSV
        "text/tsv": 13,  # TSV
    }
    content_type_index = supported_content_types.get(mime_type, 0)

    # Construct the item, containing the file's byte data.
    with open(filename, mode="rb") as f:
        item = {"byte_item": {"type_": content_type_index, "data": f.read()}}

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

    # Call the API.
    response = dlp.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(f"Quote: {finding.quote}")
            except AttributeError:
                pass
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

Ruby

Pour savoir comment installer et utiliser la bibliothèque cliente pour la protection des données sensibles, consultez la page Bibliothèques clientes de la protection des données sensibles.

Pour vous authentifier auprès de la protection des données sensibles, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local. 

# project_id   = "Your Google Cloud project ID"
# filename     = "The file path to the file to inspect"
# max_findings = "Maximum number of findings to report per request (0 = server maximum)"

require "google/cloud/dlp"

dlp = Google::Cloud::Dlp.dlp_service
inspect_config = {
  # The types of information to match
  info_types:     [{ name: "PERSON_NAME" }, { name: "PHONE_NUMBER" }],

  # Only return results above a likelihood threshold (0 for all)
  min_likelihood: :POSSIBLE,

  # Limit the number of findings (0 for no limit)
  limits:         { max_findings_per_request: max_findings },

  # Whether to include the matching string in the response
  include_quote:  true
}

# The item to inspect
file = File.open filename, "rb"
item_to_inspect = { byte_item: { type: :BYTES_TYPE_UNSPECIFIED, data: file.read } }

# Run request
parent = "projects/#{project_id}/locations/global"
response = dlp.inspect_content parent:         parent,
                               inspect_config: inspect_config,
                               item:           item_to_inspect

# Print the results
if response.result.findings.empty?
  puts "No findings"
else
  response.result.findings.each do |finding|
    puts "Quote:      #{finding.quote}"
    puts "Info type:  #{finding.info_type.name}"
    puts "Likelihood: #{finding.likelihood}"
  end
end

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