Cloud Data Loss Prevention (Cloud DLP) fait désormais partie de la protection des données sensibles. Le nom de l'API reste le même: API Cloud Data Loss Prevention (API DLP). Pour en savoir plus sur les services qui constituent la protection des données sensibles, consultez la présentation de la protection des données sensibles.

Cette page a été traduite par l'API Cloud Translation.

Modifier les détecteurs d'infoTypes pour affiner les résultats d'analyse

Les détecteurs d'infoTypes intégrés de la protection des données sensibles sont efficaces pour identifier les types courants de données sensibles. Les détecteurs d'infoTypes personnalisés vous permettent de personnaliser entièrement vos propres détecteurs de données sensibles. Quant aux règles d'inspection, elles permettent d'affiner les résultats d'analyse renvoyés par la protection des données sensibles en modifiant le mécanisme de détection d'un détecteur d'infoType donné.

Si vous souhaitez exclure certaines valeurs ou en inclure davantage dans les résultats renvoyés par un détecteur d'infoType intégré, vous pouvez créer entièrement un infoType personnalisé et définir tous les critères que la protection des données sensibles doit rechercher. Vous pouvez également affiner les résultats renvoyés par les détecteurs intégrés ou personnalisés de la protection des données sensibles selon certains critères que vous spécifiez. Pour ce faire, vous pouvez ajouter des règles d'inspection permettant de réduire le bruit, d'accroître la précision et le rappel ou d'ajuster le niveau de probabilité des résultats de l'analyse.

Sur cette page, nous vous expliquons comment vous servir des deux types de règles d'inspection pour exclure certains résultats ou en ajouter d'autres, le tout selon des critères personnalisés que vous spécifiez. Vous trouverez également plusieurs scénarios dans lesquels vous pourriez être amené à modifier un détecteur d'infoType existant.

Les deux types de règles d'inspection sont les suivants :

Les règles d'exclusion, qui permettent d'exclure des résultats faux ou indésirables
Les règles relatives aux mots clés, qui permettent d'identifier des résultats supplémentaires

Règles d'exclusion

Les règles d'exclusion sont utiles dans les situations suivantes :

Vous souhaitez exclure les doubles dans les correspondances identifiées, qui surviennent en cas de chevauchement de détecteurs d'infoTypes. Par exemple, vous recherchez des adresses e-mail et des numéros de téléphone, mais vous obtenez deux correspondances pour les adresses e-mail contenant des numéros de téléphone, telles que "256-555-0764@example.org".
Vos résultats d'analyse présentent du bruit. Par exemple, vous constatez que la recherche d'adresses e-mail légitimes renvoie la même adresse e-mail factice (example@example.com) ou le même domaine (example.com) à plusieurs reprises.
Vous souhaitez exclure des résultats une liste de termes, d'expressions ou de combinaisons de caractères.
Vous souhaitez exclure une colonne entière de données des résultats.
Vous souhaitez exclure les résultats situés à proximité d'une chaîne qui correspond à une expression régulière.

Présentation de l'API des règles d'exclusion

La protection des données sensibles définit une règle d'exclusion dans l'objet ExclusionRule. Dans ExclusionRule, vous spécifiez l'un des éléments suivants:

Objet Dictionary, qui contient une liste de chaînes à exclure des résultats.
Objet Regex, qui définit un modèle d'expression régulière. Les chaînes correspondant au format sont exclues des résultats.
Un objet ExcludeInfoTypes, qui contient un tableau de détecteurs d'infoTypes. Si un résultat correspond à l'un des détecteurs d'infoTypes énumérés ici, ce résultat est exclu des résultats.
Un objet ExcludeByHotword, qui contient les éléments suivants:
- Expression régulière qui définit le mot clé.
- Valeur de proximité qui définit la proximité du mot clé par rapport à la recherche.
Si la recherche se trouve dans la zone de proximité définie, elle est exclue des résultats. Pour les tableaux, ce type de règle d'exclusion vous permet d'exclure une colonne entière de données des résultats.

Scénarios d'exemples avec les règles d'exclusion

Chacun des extraits de code JSON suivants montre comment configurer la protection des données sensibles pour le scénario donné.

Exclure des adresses e-mail spécifiques lors de l'analyse réalisée par le détecteur EMAIL_ADDRESS

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;

public class InspectStringWithExclusionDict
{
    public static InspectContentResponse Inspect(string projectId, string textToInspect, List<String> excludedMatchList)
    {
        var dlp = DlpServiceClient.Create();

        var byteContentItem = new ByteContentItem
        {
            Type = ByteContentItem.Types.BytesType.TextUtf8,
            Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
        };

        var contentItem = new ContentItem { ByteItem = byteContentItem };

        var infoTypes = new string[] { "PHONE_NUMBER", "EMAIL_ADDRESS", "CREDIT_CARD_NUMBER" }.Select(it => new InfoType { Name = it });

        var exclusionRule = new ExclusionRule
        {
            MatchingType = MatchingType.FullMatch,
            Dictionary = new CustomInfoType.Types.Dictionary
            {
                WordList = new CustomInfoType.Types.Dictionary.Types.WordList
                {
                    Words = { excludedMatchList }
                }
            }
        };

        var ruleSet = new InspectionRuleSet
        {
            InfoTypes = { new InfoType { Name = "EMAIL_ADDRESS" } },
            Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
        };

        var config = new InspectConfig
        {
            InfoTypes = { infoTypes },
            IncludeQuote = true,
            RuleSet = { ruleSet }
        };

        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            InspectConfig = config
        };

        var response = dlp.InspectContent(request);

        Console.WriteLine($"Findings: {response.Result.Findings.Count}");
        foreach (var f in response.Result.Findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

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.

import (
	"context"
	"fmt"
	"io"

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

// inspectStringWithExclusionDictionary inspects a string for sensitive data
// using exclusion dictionary, here the function omits a specific email address
// from an EMAIL_ADDRESS detector scan with an exclusion dictionary
func inspectStringWithExclusionDictionary(w io.Writer, projectID, textToInspect string, excludedMatchList []string) error {
	// projectID := "my-project-id"
	// textToInspect := "Some email addresses: gary@example.com, example@example.com"
	// excludedMatchList := []string{"example@example.com"}

	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()

	// Specify the type and content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_ByteItem{
			ByteItem: &dlppb.ByteContentItem{
				Type: dlppb.ByteContentItem_TEXT_UTF8,
				Data: []byte(textToInspect),
			},
		},
	}

	// 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: "PHONE_NUMBER"},
		{Name: "EMAIL_ADDRESS"},
		{Name: "CREDIT_CARD_NUMBER"},
	}

	// Exclude matches from the specified excludedMatchList.
	exclusionRule := &dlppb.ExclusionRule{
		Type: &dlppb.ExclusionRule_Dictionary{
			Dictionary: &dlppb.CustomInfoType_Dictionary{
				Source: &dlppb.CustomInfoType_Dictionary_WordList_{
					WordList: &dlppb.CustomInfoType_Dictionary_WordList{
						Words: excludedMatchList,
					},
				},
			},
		},
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_FULL_MATCH,
	}

	// Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infoType.
	ruleSet := &dlppb.InspectionRuleSet{
		InfoTypes: []*dlppb.InfoType{
			{Name: "EMAIL_ADDRESS"},
		},
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_ExclusionRule{
					ExclusionRule: exclusionRule,
				},
			},
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:   contentItem,
		// Construct the configuration for the Inspect request, including the ruleSet.
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes:    infoTypes,
			IncludeQuote: true,
			RuleSet: []*dlppb.InspectionRuleSet{
				ruleSet,
			},
		},
	}

	// Send the request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
	for _, v := range resp.GetResult().Findings {
		fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
		fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
		fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
	}
	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.


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.CustomInfoType.Dictionary;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary.WordList;
import com.google.privacy.dlp.v2.ExclusionRule;
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.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

public class InspectStringWithExclusionDict {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "Some email addresses: gary@example.com, example@example.com";
    List<String> excludedMatchList = Arrays.asList("example@example.com");
    inspectStringWithExclusionDict(projectId, textToInspect, excludedMatchList);
  }

  // Inspects the provided text, avoiding matches specified in the exclusion list.
  public static void inspectStringWithExclusionDict(
      String projectId, String textToInspect, List<String> excludedMatchList) 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.
      // 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[] {"PHONE_NUMBER", "EMAIL_ADDRESS", "CREDIT_CARD_NUMBER"}) {
        infoTypes.add(InfoType.newBuilder().setName(typeName).build());
      }

      // Exclude matches from the specified excludedMatchList.
      ExclusionRule exclusionRule =
          ExclusionRule.newBuilder()
              .setMatchingType(MatchingType.MATCHING_TYPE_FULL_MATCH)
              .setDictionary(
                  Dictionary.newBuilder()
                      .setWordList(WordList.newBuilder().addAllWords(excludedMatchList)))
              .build();

      // Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
      InspectionRuleSet ruleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("EMAIL_ADDRESS"))
              .addRules(InspectionRule.newBuilder().setExclusionRule(exclusionRule))
              .build();

      // Construct the configuration for the Inspect request, including the ruleset.
      InspectConfig config =
          InspectConfig.newBuilder()
              .addAllInfoTypes(infoTypes)
              .setIncludeQuote(true)
              .addRuleSet(ruleSet)
              .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.

// 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 = 'Some email addresses: gary@example.com, example@example.com';

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

// Words to exclude
// const excludedWords = ['gary@example.com'];

async function inspectStringWithExclusionDict() {
  // Specify the type and content to be inspected.
  const item = {
    byteItem: {
      type: DLP.protos.google.privacy.dlp.v2.ByteContentItem.BytesType
        .TEXT_UTF8,
      data: Buffer.from(string, 'utf-8'),
    },
  };

  // Exclude matches from the specified excludedWords.
  const exclusionRule = {
    dictionary: {
      wordList: {
        words: excludedWords,
      },
    },
    matchingType:
      DLP.protos.google.privacy.dlp.v2.MatchingType.MATCHING_TYPE_FULL_MATCH,
  };

  // Construct a ruleset that applies the exclusion rule to the specified infotype.
  const ruleSet = [
    {
      infoTypes: infoTypes,
      rules: [
        {
          exclusionRule: exclusionRule,
        },
      ],
    },
  ];

  // Construct the configuration for the Inspect request, including the ruleset.
  const inspectConfig = {
    infoTypes: infoTypes,
    ruleSet: ruleSet,
    includeQuote: true,
  };

  // Construct the Inspect request to be sent by the client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Use the client to send the API request.
  const [response] = await dlp.inspectContent(request);

  // Print Findings
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringWithExclusionDict();

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.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary\WordList;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;

/**
 * Inspect a string for sensitive data, using exclusion dictionary
 * Omit a specific email address from an EMAIL_ADDRESS detector scan with an exclusion dictionary.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 */
function inspect_string_with_exclusion_dict(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'Some email addresses: gary@example.com, example@example.com'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $infotypes = [
        (new InfoType())->setName('PHONE_NUMBER'),
        (new InfoType())->setName('EMAIL_ADDRESS'),
        (new InfoType())->setName('CREDIT_CARD_NUMBER'),
    ];

    // Exclude matches from the specified excludedMatchList.
    $excludedMatchList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords(['example@example.com']));
    $matchingType = MatchingType::MATCHING_TYPE_FULL_MATCH;
    $exclusionRule = (new ExclusionRule())
        ->setMatchingType($matchingType)
        ->setDictionary($excludedMatchList);

    // Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
    $emailAddress = (new InfoType())
        ->setName('EMAIL_ADDRESS');
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([$emailAddress])
        ->setRules([
            (new InspectionRule())
                ->setExclusionRule($exclusionRule),
        ]);

    // Construct the configuration for the Inspect request, including the ruleset.
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes($infotypes)
        ->setIncludeQuote(true)
        ->setRuleSet([$inspectionRuleSet]);

    // 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) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf('  Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
        }
    }
}

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.

from typing import List

import google.cloud.dlp


def inspect_string_with_exclusion_dict(
    project: str,
    content_string: str,
    exclusion_list: List[str] = ["example@example.com"],
) -> None:
    """Inspects the provided text, avoiding matches specified in the exclusion list

    Uses the Data Loss Prevention API to omit matches on EMAIL_ADDRESS if they are
    in the specified exclusion list.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.
        exclusion_list: The list of strings to ignore matches on

    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Construct a list of infoTypes for DLP to locate in `content_string`. See
    # https://cloud.google.com/dlp/docs/concepts-infotypes for more information
    # about supported infoTypes.
    info_types_to_locate = [{"name": "EMAIL_ADDRESS"}]

    # Construct a rule set that will only match on EMAIL_ADDRESS
    # if the match text is not in the exclusion list.
    rule_set = [
        {
            "info_types": info_types_to_locate,
            "rules": [
                {
                    "exclusion_rule": {
                        "dictionary": {"word_list": {"words": exclusion_list}},
                        "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_FULL_MATCH,
                    }
                }
            ],
        }
    ]

    # Construct the configuration dictionary
    inspect_config = {
        "info_types": info_types_to_locate,
        "rule_set": rule_set,
        "include_quote": True,
    }

    # 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:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

REST

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

...
    "inspectConfig":{
      "infoTypes":[
        {
          "name":"EMAIL_ADDRESS"
        }
      ],
      "ruleSet":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "rules":[
            {
              "exclusionRule":{
                "dictionary":{
                  "wordList":{
                    "words":[
                      "example@example.com"
                    ]
                  }
                },
                "matchingType": "MATCHING_TYPE_FULL_MATCH"
              }
            }
          ]
        }
      ]
    }
...

Exclure les adresses e-mail associées à un domaine spécifique lors de l'analyse réalisée par le détecteur EMAIL_ADDRESS

L'extrait de code JSON et le code suivants dans plusieurs langages montrent comment indiquer à la protection des données sensibles, à l'aide d'un objet InspectConfig, qu'elle doit exclure les correspondances avec les adresses e-mail se terminant par "@example.com" dans une analyse qui utilise le détecteur d'infoType EMAIL_ADDRESS:

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.


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

public class InspectStringWithExclusionRegex
{
    public static InspectContentResponse Inspect(string projectId, string textToInspect, string excludedRegex)
    {
        var dlp = DlpServiceClient.Create();

        var byteContentItem = new ByteContentItem
        {
            Type = ByteContentItem.Types.BytesType.TextUtf8,
            Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
        };

        var contentItem = new ContentItem { ByteItem = byteContentItem };

        var infoTypes = new string[] { "PHONE_NUMBER", "EMAIL_ADDRESS", "CREDIT_CARD_NUMBER" }.Select(it => new InfoType { Name = it });

        var exclusionRule = new ExclusionRule
        {
            MatchingType = MatchingType.FullMatch,
            Regex = new CustomInfoType.Types.Regex { Pattern = excludedRegex }
        };

        var ruleSet = new InspectionRuleSet
        {
            InfoTypes = { new InfoType { Name = "EMAIL_ADDRESS" } },
            Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
        };

        var config = new InspectConfig
        {
            InfoTypes = { infoTypes },
            IncludeQuote = true,
            RuleSet = { ruleSet }
        };

        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            InspectConfig = config
        };

        var response = dlp.InspectContent(request);

        Console.WriteLine($"Findings: {response.Result.Findings.Count}");
        foreach (var f in response.Result.Findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

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.

import (
	"context"
	"fmt"
	"io"

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

// inspectStringWithExclusionRegex inspects a string excluding REGEX matches
// in this function specifically the function omits email addresses ending with a specific
// domain from EMAIL_ADDRESS detector scan.
func inspectStringWithExclusionRegex(w io.Writer, projectID, textToInspect, excludedRegex string) error {
	// projectID := "my-project-id"
	// textToInspect := "Some email addresses: gary@example.com, bob@example.org"
	// excludedRegex := ".+@example.com"

	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()

	// Specify the type and content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_ByteItem{
			ByteItem: &dlppb.ByteContentItem{
				Type: dlppb.ByteContentItem_TEXT_UTF8,
				Data: []byte(textToInspect),
			},
		},
	}

	// 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: "PHONE_NUMBER"},
		{Name: "EMAIL_ADDRESS"},
		{Name: "CREDIT_CARD_NUMBER"},
	}

	// Exclude matches from the specified excludedMatchList.
	exclusionRule := &dlppb.ExclusionRule{
		Type: &dlppb.ExclusionRule_Regex{
			Regex: &dlppb.CustomInfoType_Regex{
				Pattern: excludedRegex,
			},
		},
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_FULL_MATCH,
	}

	// Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
	ruleSet := &dlppb.InspectionRuleSet{
		InfoTypes: []*dlppb.InfoType{
			{Name: "EMAIL_ADDRESS"},
		},
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_ExclusionRule{
					ExclusionRule: exclusionRule,
				},
			},
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:   contentItem,
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes:    infoTypes,
			IncludeQuote: true,
			RuleSet: []*dlppb.InspectionRuleSet{
				ruleSet,
			},
		},
	}

	// Send the request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
	for _, v := range resp.GetResult().Findings {
		fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
		fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
		fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
	}
	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.


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.CustomInfoType.Regex;
import com.google.privacy.dlp.v2.ExclusionRule;
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.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

public class InspectStringWithExclusionRegex {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "Some email addresses: gary@example.com, bob@example.org";
    String excludedRegex = ".+@example.com";
    inspectStringWithExclusionRegex(projectId, textToInspect, excludedRegex);
  }

  // Inspects the provided text, avoiding matches specified in the exclusion list.
  public static void inspectStringWithExclusionRegex(
      String projectId, String textToInspect, String excludedRegex) 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.
      // 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[] {"PHONE_NUMBER", "EMAIL_ADDRESS", "CREDIT_CARD_NUMBER"}) {
        infoTypes.add(InfoType.newBuilder().setName(typeName).build());
      }

      // Exclude matches from the specified excludedMatchList.
      ExclusionRule exclusionRule =
          ExclusionRule.newBuilder()
              .setMatchingType(MatchingType.MATCHING_TYPE_FULL_MATCH)
              .setRegex(Regex.newBuilder().setPattern(excludedRegex))
              .build();

      // Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
      InspectionRuleSet ruleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("EMAIL_ADDRESS"))
              .addRules(InspectionRule.newBuilder().setExclusionRule(exclusionRule))
              .build();

      // Construct the configuration for the Inspect request, including the ruleset.
      InspectConfig config =
          InspectConfig.newBuilder()
              .addAllInfoTypes(infoTypes)
              .setIncludeQuote(true)
              .addRuleSet(ruleSet)
              .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.

// 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 = 'Some email addresses: gary@example.com, bob@example.org';

// Exclusion Regex
// const exclusionRegex = '.+@example.com';

async function inspectStringMultipleRules() {
  // Specify the type and content to be inspected.
  const item = {
    byteItem: {
      type: DLP.protos.google.privacy.dlp.v2.ByteContentItem.BytesType
        .TEXT_UTF8,
      data: Buffer.from(string, 'utf-8'),
    },
  };

  // Info Types for inspection
  const infoTypes = [{name: 'EMAIL_ADDRESS'}];

  // Construct a exclusion rule that uses a regex pattern
  const exclusionRule = {
    regex: {pattern: exclusionRegex},
    matchingType:
      DLP.protos.google.privacy.dlp.v2.MatchingType.MATCHING_TYPE_FULL_MATCH,
  };

  // Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
  const ruleSet = [
    {
      infoTypes: infoTypes,
      rules: [
        {
          exclusionRule: exclusionRule,
        },
      ],
    },
  ];

  // Construct the configuration for the Inspect request, including the ruleset.
  const inspectConfig = {
    infoTypes: infoTypes,
    ruleSet: ruleSet,
    includeQuote: true,
  };

  // Construct the Inspect request to be sent by the client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Use the client to send the API request.
  const [response] = await dlp.inspectContent(request);

  // Print findings.
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringMultipleRules();

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.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType\Regex;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;

/**
 * Inspect a string, excluding REGEX matches
 * Omit email addresses ending with a specific domain from an EMAIL_ADDRESS detector scan.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 */
function inspect_string_with_exclusion_regex(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'Some email addresses: gary@example.com, bob@example.org'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $infotypes = [
        (new InfoType())->setName('PHONE_NUMBER'),
        (new InfoType())->setName('EMAIL_ADDRESS'),
        (new InfoType())->setName('CREDIT_CARD_NUMBER'),
    ];

    // Exclude matches from the specified excludedRegex.
    $excludedRegex = '.+@example.com';
    $exclusionRule = (new ExclusionRule())
        ->setMatchingType(MatchingType::MATCHING_TYPE_FULL_MATCH)
        ->setRegex((new Regex())
            ->setPattern($excludedRegex));

    // Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([
            (new InfoType())
                ->setName('EMAIL_ADDRESS')
        ])
        ->setRules([
            (new InspectionRule())
                ->setExclusionRule($exclusionRule),
        ]);

    // Construct the configuration for the Inspect request, including the ruleset.
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes($infotypes)
        ->setIncludeQuote(true)
        ->setRuleSet([$inspectionRuleSet]);

    // 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) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf('  Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
        }
    }
}

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.

import google.cloud.dlp


def inspect_string_with_exclusion_regex(
    project: str, content_string: str, exclusion_regex: str = ".+@example.com"
) -> None:
    """Inspects the provided text, avoiding matches specified in the exclusion regex

    Uses the Data Loss Prevention API to omit matches on EMAIL_ADDRESS if they match
    the specified exclusion regex.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.
        exclusion_regex: The regular expression to exclude matches on

    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Construct a list of infoTypes for DLP to locate in `content_string`. See
    # https://cloud.google.com/dlp/docs/concepts-infotypes for more information
    # about supported infoTypes.
    info_types_to_locate = [{"name": "EMAIL_ADDRESS"}]

    # Construct a rule set that will only match on EMAIL_ADDRESS
    # if the specified regex doesn't also match.
    rule_set = [
        {
            "info_types": info_types_to_locate,
            "rules": [
                {
                    "exclusion_rule": {
                        "regex": {"pattern": exclusion_regex},
                        "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_FULL_MATCH,
                    }
                }
            ],
        }
    ]

    # Construct the configuration dictionary
    inspect_config = {
        "info_types": info_types_to_locate,
        "rule_set": rule_set,
        "include_quote": True,
    }

    # 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:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

REST

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

...
    "inspectConfig":{
      "infoTypes":[
        {
          "name":"EMAIL_ADDRESS"
        }
      ],
      "ruleSet":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "rules":[
            {
              "exclusionRule":{
                "regex":{
                  "pattern":".+@example.com"
                },
                "matchingType": "MATCHING_TYPE_FULL_MATCH"
              }
            }
          ]
        }
      ]
    }
...

Exclure toutes les correspondances incluant la sous-chaîne "TEST"

L'extrait de code JSON et le code suivants dans plusieurs langages montrent comment indiquer à la protection des données sensibles, à l'aide d'un InspectConfig, qu'elle doit exclure tous les résultats qui incluent le jeton "TEST" de la liste spécifiée des infoTypes.

Notez que la correspondance est établie sur "TEST" en tant que jeton, et non en tant que sous-chaîne. Par conséquent, même si quelque chose comme "TEST@email.com" correspond, "TESTER@email.com" ne correspondra pas. Si vous souhaitez mettre en correspondance une sous-chaîne, utilisez une expression régulière dans la règle d'exclusion au lieu d'un dictionnaire.

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.


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

public class InspectStringWithExclusionDictSubstring
{
    public static InspectContentResponse Inspect(string projectId, string textToInspect, List<String> excludedSubstringList)
    {
        var dlp = DlpServiceClient.Create();

        var byteItem = new ByteContentItem
        {
            Type = ByteContentItem.Types.BytesType.TextUtf8,
            Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
        };

        var contentItem = new ContentItem { ByteItem = byteItem };

        var infoTypes = new string[]
        {
            "EMAIL_ADDRESS",
            "DOMAIN_NAME",
            "PHONE_NUMBER",
            "PERSON_NAME"
        }.Select(it => new InfoType { Name = it });

        var exclusionRule = new ExclusionRule
        {
            MatchingType = MatchingType.PartialMatch,
            Dictionary = new CustomInfoType.Types.Dictionary
            {
                WordList = new CustomInfoType.Types.Dictionary.Types.WordList
                {
                    Words = { excludedSubstringList }
                }
            }
        };

        var ruleSet = new InspectionRuleSet
        {
            InfoTypes = { infoTypes },
            Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
        };

        var config = new InspectConfig
        {
            InfoTypes = { infoTypes },
            IncludeQuote = true,
            RuleSet = { ruleSet }
        };

        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            InspectConfig = config
        };

        var response = dlp.InspectContent(request);

        Console.WriteLine($"Findings: {response.Result.Findings.Count}");
        foreach (var f in response.Result.Findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

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.

import (
	"context"
	"fmt"
	"io"

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

// inspectStringWithExclusionDictSubstring inspects a string
// with an exclusion dictionary substring
func inspectStringWithExclusionDictSubstring(w io.Writer, projectID, textToInspect string, excludedSubString []string) error {
	// projectID := "my-project-id"
	// textToInspect := "Some email addresses: gary@example.com, TEST@example.com"
	// excludedSubString := []string{"TEST"}

	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()

	// Specify the type and content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_ByteItem{
			ByteItem: &dlppb.ByteContentItem{
				Type: dlppb.ByteContentItem_TEXT_UTF8,
				Data: []byte(textToInspect),
			},
		},
	}

	// 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: "EMAIL_ADDRESS"},
		{Name: "DOMAIN_NAME"},
		{Name: "PHONE_NUMBER"},
		{Name: "PERSON_NAME"},
	}

	// Exclude partial matches from the specified excludedSubstringList.
	exclusionRule := &dlppb.ExclusionRule{
		Type: &dlppb.ExclusionRule_Dictionary{
			Dictionary: &dlppb.CustomInfoType_Dictionary{
				Source: &dlppb.CustomInfoType_Dictionary_WordList_{
					WordList: &dlppb.CustomInfoType_Dictionary_WordList{
						Words: excludedSubString,
					},
				},
			},
		},
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_PARTIAL_MATCH,
	}

	// Construct a ruleSet that applies the exclusion rule to the EMAIL_ADDRESSES infoType.
	ruleSet := &dlppb.InspectionRuleSet{
		InfoTypes: infoTypes,
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_ExclusionRule{
					ExclusionRule: exclusionRule,
				},
			},
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:   contentItem,
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes:    infoTypes,
			IncludeQuote: true,
			RuleSet: []*dlppb.InspectionRuleSet{
				ruleSet,
			},
		},
	}

	// Send the request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
	for _, v := range resp.GetResult().Findings {
		fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
		fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
		fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
	}
	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.


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.CustomInfoType.Dictionary;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary.WordList;
import com.google.privacy.dlp.v2.ExclusionRule;
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.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

public class InspectStringWithExclusionDictSubstring {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "Some email addresses: gary@example.com, TEST@example.com";
    List<String> excludedSubstringList = Arrays.asList("TEST");
    inspectStringWithExclusionDictSubstring(projectId, textToInspect, excludedSubstringList);
  }

  // Inspects the provided text, avoiding matches specified in the exclusion list.
  public static void inspectStringWithExclusionDictSubstring(
      String projectId, String textToInspect, List<String> excludedSubstringList)
      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.
      // 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[] {"EMAIL_ADDRESS", "DOMAIN_NAME", "PHONE_NUMBER", "PERSON_NAME"}) {
        infoTypes.add(InfoType.newBuilder().setName(typeName).build());
      }

      // Exclude partial matches from the specified excludedSubstringList.
      ExclusionRule exclusionRule =
          ExclusionRule.newBuilder()
              .setMatchingType(MatchingType.MATCHING_TYPE_PARTIAL_MATCH)
              .setDictionary(
                  Dictionary.newBuilder()
                      .setWordList(WordList.newBuilder().addAllWords(excludedSubstringList)))
              .build();

      // Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
      InspectionRuleSet ruleSet =
          InspectionRuleSet.newBuilder()
              .addAllInfoTypes(infoTypes)
              .addRules(InspectionRule.newBuilder().setExclusionRule(exclusionRule))
              .build();

      // Construct the configuration for the Inspect request, including the ruleset.
      InspectConfig config =
          InspectConfig.newBuilder()
              .addAllInfoTypes(infoTypes)
              .setIncludeQuote(true)
              .addRuleSet(ruleSet)
              .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.

// 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 = 'Some email addresses: gary@example.com, TEST@example.com';

// List of substrings to be used for exclusion
// const excludedSubstringList = ['Test'];

async function inspectStringExclusionDictSubstr() {
  // Specify the type and content to be inspected.
  const item = {
    byteItem: {
      type: DLP.protos.google.privacy.dlp.v2.ByteContentItem.BytesType
        .TEXT_UTF8,
      data: Buffer.from(string, 'utf-8'),
    },
  };

  // 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.
  const infoTypes = [
    {name: 'EMAIL_ADDRESS'},
    {name: 'DOMAIN_NAME'},
    {name: 'PHONE_NUMBER'},
    {name: 'PERSON_NAME'},
  ];

  // Exclude partial matches from the specified excludedSubstringList.
  const exclusionRule = {
    dictionary: {wordList: {words: excludedSubstringList}},
    matchingType:
      DLP.protos.google.privacy.dlp.v2.MatchingType
        .MATCHING_TYPE_PARTIAL_MATCH,
  };

  // Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
  const ruleSet = [
    {
      infoTypes: infoTypes,
      rules: [
        {
          exclusionRule: exclusionRule,
        },
      ],
    },
  ];

  // Construct the configuration for the Inspect request, including the ruleset.
  const inspectConfig = {
    infoTypes: infoTypes,
    ruleSet: ruleSet,
    includeQuote: true,
  };

  // Construct the Inspect request to be sent by the client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Use the client to send the API request.
  const [response] = await dlp.inspectContent(request);

  // Print findings.
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringExclusionDictSubstr();

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.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary\WordList;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;

/**
 * Inspect a string with an exclusion dictionary substring
 * Omit scan matches that include the substring "TEST".
 *
 * @param string $projectId                 The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect             The string to inspect.
 * @param array  $excludedSubStringArray    The sub string to excluded.
 */
function inspect_string_with_exclusion_dict_substring(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'Some email addresses: gary@example.com, TEST@example.com',
    array  $excludedSubStringArray = ['Test']
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $infotypes = [
        (new InfoType())->setName('PHONE_NUMBER'),
        (new InfoType())->setName('EMAIL_ADDRESS'),
        (new InfoType())->setName('DOMAIN_NAME'),
        (new InfoType())->setName('PERSON_NAME'),
    ];

    // Exclude matches from the specified excludedSubstringList.
    $excludedSubstringList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords($excludedSubStringArray));

    $exclusionRule = (new ExclusionRule())
        ->setMatchingType(MatchingType::MATCHING_TYPE_PARTIAL_MATCH)
        ->setDictionary($excludedSubstringList);

    // Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes($infotypes)
        ->setRules([
            (new InspectionRule())
                ->setExclusionRule($exclusionRule),
        ]);

    // Construct the configuration for the Inspect request, including the ruleset.
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes($infotypes)
        ->setIncludeQuote(true)
        ->setRuleSet([$inspectionRuleSet]);

    // 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) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf('  Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
        }
    }
}

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.

from typing import List

import google.cloud.dlp


def inspect_string_with_exclusion_dict_substring(
    project: str, content_string: str, exclusion_list: List[str] = ["TEST"]
) -> None:
    """Inspects the provided text, avoiding matches that contain excluded tokens

    Uses the Data Loss Prevention API to omit matches if they include tokens
    in the specified exclusion list.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.
        exclusion_list: The list of strings to ignore partial matches on

    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Construct a list of infoTypes for DLP to locate in `content_string`. See
    # https://cloud.google.com/dlp/docs/concepts-infotypes for more information
    # about supported infoTypes.
    info_types_to_locate = [{"name": "EMAIL_ADDRESS"}, {"name": "DOMAIN_NAME"}]

    # Construct a rule set that will only match if the match text does not
    # contains tokens from the exclusion list.
    rule_set = [
        {
            "info_types": info_types_to_locate,
            "rules": [
                {
                    "exclusion_rule": {
                        "dictionary": {"word_list": {"words": exclusion_list}},
                        "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_PARTIAL_MATCH,
                    }
                }
            ],
        }
    ]

    # Construct the configuration dictionary
    inspect_config = {
        "info_types": info_types_to_locate,
        "rule_set": rule_set,
        "include_quote": True,
    }

    # 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:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

REST

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

...
    "inspectConfig":{
      "infoTypes":[
        {
          "name":"EMAIL_ADDRESS"
        },
        {
          "name":"DOMAIN_NAME"
        },
        {
          "name":"PHONE_NUMBER"
        },
        {
          "name":"PERSON_NAME"
        }
      ],
      "ruleSet":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            },
            {
              "name":"DOMAIN_NAME"
            },
            {
              "name":"PHONE_NUMBER"
            },
            {
              "name":"PERSON_NAME"
            }
          ],
          "rules":[
            {
              "exclusionRule":{
                "dictionary":{
                  "wordList":{
                    "words":[
                      "TEST"
                    ]
                  }
                },
                "matchingType": "MATCHING_TYPE_PARTIAL_MATCH"
              }
            }
          ]
        }
      ]
    }
...

Exclure toutes les correspondances incluant la sous-chaîne "Jimmy" lors d'une analyse utilisant un détecteur d'infoType personnalisé

L'extrait de code JSON et le code suivants dans plusieurs langages montrent comment indiquer à la protection des données sensibles, à l'aide d'un objet InspectConfig, qu'elle doit exclure les correspondances avec le nom "Jimmy" dans une analyse qui utilise le détecteur d'expression régulière personnalisé spécifié:

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.


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class InspectStringCustomExcludingSubstring
{
    public static InspectContentResponse Inspect(string projectId, string textToInspect, string customDetectorPattern, List<String> excludedSubstringList)
    {
        var dlp = DlpServiceClient.Create();

        var byteContentItem = new ByteContentItem
        {
            Type = ByteContentItem.Types.BytesType.TextUtf8,
            Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
        };

        var contentItem = new ContentItem { ByteItem = byteContentItem };

        var infoType = new InfoType
        {
            Name = "CUSTOM_NAME_DETECTOR"
        };
        var customInfoType = new CustomInfoType
        {
            InfoType = infoType,
            Regex = new CustomInfoType.Types.Regex { Pattern = customDetectorPattern }
        };

        var exclusionRule = new ExclusionRule
        {
            MatchingType = MatchingType.PartialMatch,
            Dictionary = new CustomInfoType.Types.Dictionary
            {
                WordList = new CustomInfoType.Types.Dictionary.Types.WordList
                {
                    Words = { excludedSubstringList }
                }
            }
        };

        var ruleSet = new InspectionRuleSet
        {
            InfoTypes = { infoType },
            Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
        };

        var config = new InspectConfig
        {
            CustomInfoTypes = { customInfoType },
            IncludeQuote = true,
            RuleSet = { ruleSet }
        };

        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            InspectConfig = config
        };

        var response = dlp.InspectContent(request);

        Console.WriteLine($"Findings: {response.Result.Findings.Count}");
        foreach (var f in response.Result.Findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

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.

import (
	"context"
	"fmt"
	"io"

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

// inspectStringCustomExcludingSubstring inspects a string for sensitive data, excluding a custom substring
func inspectStringCustomExcludingSubstring(w io.Writer, projectID, textToInspect, customDetectorPattern string, excludedSubstringList []string) error {
	// projectId := "your-project-id"
	// textToInspect := "Name: Doe, John. Name: Example, Jimmy"
	// customDetectorPattern := "[A-Z][a-z]{1,15}, [A-Z][a-z]{1,15}"
	// excludedSubstringList := []string{"Jimmy"}

	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()

	// Specify the type and content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_ByteItem{
			ByteItem: &dlppb.ByteContentItem{
				Type: dlppb.ByteContentItem_TEXT_UTF8,
				Data: []byte(textToInspect),
			},
		},
	}

	// Specify the type of info the inspection will look for.
	infoType := &dlppb.InfoType{
		Name: "CUSTOM_NAME_DETECTOR",
	}

	customInfotype := &dlppb.CustomInfoType{
		InfoType: infoType,
		Type: &dlppb.CustomInfoType_Regex_{
			Regex: &dlppb.CustomInfoType_Regex{
				Pattern: customDetectorPattern,
			},
		},
	}

	// Exclude partial matches from the specified excludedSubstringList.
	exclusionRule := &dlppb.ExclusionRule{
		Type: &dlppb.ExclusionRule_Dictionary{
			Dictionary: &dlppb.CustomInfoType_Dictionary{
				Source: &dlppb.CustomInfoType_Dictionary_WordList_{
					WordList: &dlppb.CustomInfoType_Dictionary_WordList{
						Words: excludedSubstringList,
					},
				},
			},
		},
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_PARTIAL_MATCH,
	}

	// Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infoType.
	ruleSet := &dlppb.InspectionRuleSet{
		InfoTypes: []*dlppb.InfoType{
			infoType,
		},
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_ExclusionRule{
					ExclusionRule: exclusionRule,
				},
			},
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:   contentItem,
		InspectConfig: &dlppb.InspectConfig{
			CustomInfoTypes: []*dlppb.CustomInfoType{
				customInfotype,
			},
			IncludeQuote: true,
			RuleSet: []*dlppb.InspectionRuleSet{
				ruleSet,
			},
		},
	}

	// Send the request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
	for _, v := range resp.GetResult().Findings {
		fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
		fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
		fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
	}
	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.


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.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary.WordList;
import com.google.privacy.dlp.v2.CustomInfoType.Regex;
import com.google.privacy.dlp.v2.ExclusionRule;
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.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;

public class InspectStringCustomExcludingSubstring {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "Name: Doe, John. Name: Example, Jimmy";
    String customDetectorPattern = "[A-Z][a-z]{1,15}, [A-Z][a-z]{1,15}";
    List<String> excludedSubstringList = Arrays.asList("Jimmy");
    inspectStringCustomExcludingSubstring(
        projectId, textToInspect, customDetectorPattern, excludedSubstringList);
  }

  // Inspects the provided text, avoiding matches specified in the exclusion list.
  public static void inspectStringCustomExcludingSubstring(
      String projectId,
      String textToInspect,
      String customDetectorPattern,
      List<String> excludedSubstringList)
      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.
      InfoType infoType = InfoType.newBuilder().setName("CUSTOM_NAME_DETECTOR").build();
      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(infoType)
              .setRegex(Regex.newBuilder().setPattern(customDetectorPattern))
              .build();

      // Exclude partial matches from the specified excludedSubstringList.
      ExclusionRule exclusionRule =
          ExclusionRule.newBuilder()
              .setMatchingType(MatchingType.MATCHING_TYPE_PARTIAL_MATCH)
              .setDictionary(
                  Dictionary.newBuilder()
                      .setWordList(WordList.newBuilder().addAllWords(excludedSubstringList)))
              .build();

      // Construct a ruleset that applies the exclusion rule to the EMAIL_ADDRESSES infotype.
      InspectionRuleSet ruleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(infoType)
              .addRules(InspectionRule.newBuilder().setExclusionRule(exclusionRule))
              .build();

      // Construct the configuration for the Inspect request, including the ruleset.
      InspectConfig config =
          InspectConfig.newBuilder()
              .addCustomInfoTypes(customInfoType)
              .setIncludeQuote(true)
              .addRuleSet(ruleSet)
              .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.

// 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 = 'Name: Doe, John. Name: Example, Jimmy';

// Words to exclude
// const excludedWords = ['Jimmy'];

async function inspectStringCustomExclusionDict() {
  // Specify the content to be inspected.
  const item = {value: string};

  // Specify the type of info the inspection will look for.
  const customInfoTypes = [
    {
      infoType: {name: 'CUSTOM_NAME_DETECTOR'},
      regex: {pattern: '[A-Z][a-z]{1,15}, [A-Z][a-z]{1,15}'},
    },
  ];

  // Exclude partial matches from the specified excludedSubstringList.
  const exclusionRUle = {
    dictionary: {wordList: {words: excludedWords}},
    matchingType:
      DLP.protos.google.privacy.dlp.v2.MatchingType
        .MATCHING_TYPE_PARTIAL_MATCH,
  };

  // Construct a rule set that will only match if the match text does not
  // contains tokens from the exclusion list.
  const ruleSet = [
    {
      infoTypes: [{name: 'CUSTOM_NAME_DETECTOR'}],
      rules: [
        {
          exclusionRule: exclusionRUle,
        },
      ],
    },
  ];

  // Construct the configuration for the Inspect request, including the ruleset.
  const inspectConfig = {
    customInfoTypes: customInfoTypes,
    ruleSet: ruleSet,
    includeQuote: true,
  };

  // Construct the Inspect request to be sent by the client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Use the client to send the API request.
  const [response] = await dlp.inspectContent(request);

  // Print findings.
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringCustomExclusionDict();

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.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary\WordList;
use Google\Cloud\Dlp\V2\CustomInfoType\Regex;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;

/**
 * Inspect a string for sensitive data, excluding a custom substring
 * Illustrates how to use an InspectConfig to instruct Cloud DLP to avoid matching on the name "Jimmy" in a scan that uses the specified custom regular expression detector.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 */
function inspect_string_custom_excluding_substring(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'Name: Doe, John. Name: Example, Jimmy'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();
    $customDetectorPattern = '[A-Z][a-z]{1,15}, [A-Z][a-z]{1,15}';

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $customerNameDetector = (new InfoType())
        ->setName('CUSTOM_NAME_DETECTOR');
    $customInfoType = (new CustomInfoType())
        ->setInfoType($customerNameDetector)
        ->setRegex((new Regex())
            ->setPattern($customDetectorPattern));

    // Exclude partial matches from the specified excludedSubstringList.
    $excludedSubstringList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords(['Jimmy']));

    $exclusionRule = (new ExclusionRule())
        ->setMatchingType(MatchingType::MATCHING_TYPE_PARTIAL_MATCH)
        ->setDictionary($excludedSubstringList);

    // Construct a ruleset that applies the exclusion rule.
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([$customerNameDetector])
        ->setRules([
            (new InspectionRule())
                ->setExclusionRule($exclusionRule),
        ]);

    // Construct the configuration for the Inspect request, including the ruleset.
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType])
        ->setIncludeQuote(true)
        ->setRuleSet([$inspectionRuleSet]);

    // 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) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf('  Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
        }
    }
}

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.

from typing import List

import google.cloud.dlp


def inspect_string_custom_excluding_substring(
    project: str, content_string: str, exclusion_list: List[str] = ["jimmy"]
) -> None:
    """Inspects the provided text with a custom detector, avoiding matches on specific tokens

    Uses the Data Loss Prevention API to omit matches on a custom detector
    if they include tokens in the specified exclusion list.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.
        exclusion_list: The list of strings to ignore matches on

    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Construct a custom regex detector for names
    custom_info_types = [
        {
            "info_type": {"name": "CUSTOM_NAME_DETECTOR"},
            "regex": {"pattern": "[A-Z][a-z]{1,15}, [A-Z][a-z]{1,15}"},
        }
    ]

    # Construct a rule set that will only match if the match text does not
    # contains tokens from the exclusion list.
    rule_set = [
        {
            "info_types": [{"name": "CUSTOM_NAME_DETECTOR"}],
            "rules": [
                {
                    "exclusion_rule": {
                        "dictionary": {"word_list": {"words": exclusion_list}},
                        "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_PARTIAL_MATCH,
                    }
                }
            ],
        }
    ]

    # Construct the configuration dictionary
    inspect_config = {
        "custom_info_types": custom_info_types,
        "rule_set": rule_set,
        "include_quote": True,
    }

    # 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:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

REST

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

...
    "inspectConfig":{
      "customInfoTypes":[
        {
          "infoType":{
            "name":"CUSTOM_NAME_DETECTOR"
          },
          "regex":{
            "pattern":"[A-Z][a-z]{1,15}, [A-Z][a-z]{1,15}"
          }
        }
      ],
      "ruleSet":[
        {
          "infoTypes":[
            {
              "name":"CUSTOM_NAME_DETECTOR"
            }
          ],
          "rules":[
            {
              "exclusionRule":{
                "dictionary":{
                  "wordList":{
                    "words":[
                      "Jimmy"
                    ]
                  }
                },
                "matchingType": "MATCHING_TYPE_PARTIAL_MATCH"
              }
            }
          ]
        }
      ]
    }
...

Exclure les correspondances lors d'une analyse utilisant le détecteur PERSON_NAME s'il y a chevauchement avec un détecteur personnalisé

Dans ce scénario, l'utilisateur souhaite exclure les correspondances qui résultent d'une analyse réalisée avec le détecteur intégré PERSON_NAME de Sensitive Data Protection si ces correspondances sont également ciblées par une analyse utilisant le détecteur d'expression régulière personnalisé défini dans la première partie de l'extrait de code.

L'extrait de code JSON et le code suivants dans plusieurs langages spécifient à la fois un détecteur d'expression régulière personnalisé et une règle d'exclusion dans le InspectConfig. Le détecteur d'expression régulière personnalisé spécifie les noms à exclure des résultats. La règle d'exclusion indique que tout résultat renvoyé par une analyse sur PERSON_NAME et qui correspond également avec le détecteur d'expression régulière, est exclu. Notez que, dans ce cas, le détecteur VIP_DETECTOR est identifié comme EXCLUSION_TYPE_EXCLUDE, de sorte qu'il ne produise aucun résultat lui-même. Il ne fait qu'affecter les résultats obtenus par le détecteur PERSON_NAME.

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.


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using static Google.Cloud.Dlp.V2.CustomInfoType.Types;

public class InspectStringCustomOmitOverlap
{
    public static InspectContentResponse Inspect(string projectId, string textToInspect)
    {
        var dlp = DlpServiceClient.Create();

        var byteItem = new ByteContentItem
        {
            Type = ByteContentItem.Types.BytesType.TextUtf8,
            Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
        };

        var contentItem = new ContentItem { ByteItem = byteItem };

        var customInfoType = new CustomInfoType
        {
            InfoType = new InfoType { Name = "VIP_DETECTOR" },
            Regex = new CustomInfoType.Types.Regex { Pattern = "Larry Page|Sergey Brin" },
            ExclusionType = ExclusionType.Exclude
        };

        var exclusionRule = new ExclusionRule
        {
            ExcludeInfoTypes = new ExcludeInfoTypes { InfoTypes = { customInfoType.InfoType } },
            MatchingType = MatchingType.FullMatch
        };

        var ruleSet = new InspectionRuleSet
        {
            InfoTypes = { new InfoType { Name = "PERSON_NAME" } },
            Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
        };

        var config = new InspectConfig
        {
            InfoTypes = { new InfoType { Name = "PERSON_NAME" } },
            CustomInfoTypes = { customInfoType },
            IncludeQuote = true,
            RuleSet = { ruleSet }
        };

        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            InspectConfig = config
        };

        var response = dlp.InspectContent(request);

        Console.WriteLine($"Findings: {response.Result.Findings.Count}");
        foreach (var f in response.Result.Findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

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.

import (
	"context"
	"fmt"
	"io"

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

// inspectStringCustomOmitOverlap inspects a string for sensitive data with omitting custom matches
func inspectStringCustomOmitOverlap(w io.Writer, projectID, textToInspect, customInfoTypeName, infoTypeName, regex string) error {
	// projectID := "my-project-id"
	// textToInspect := "Name: Jane Doe. Name: Larry Page."
	// customInfoTypeName := "VIP_DETECTOR"
	// infoTypeName := "PERSON_NAME"
	// regex := "Larry Page|Sergey Brin"

	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()

	// Specify the type and content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_ByteItem{
			ByteItem: &dlppb.ByteContentItem{
				Type: dlppb.ByteContentItem_TEXT_UTF8,
				Data: []byte(textToInspect),
			},
		},
	}
	// Construct the custom infoType.
	customInfotype := &dlppb.CustomInfoType{
		InfoType: &dlppb.InfoType{
			Name: customInfoTypeName,
		},
		Type: &dlppb.CustomInfoType_Regex_{
			Regex: &dlppb.CustomInfoType_Regex{
				Pattern: regex,
			},
		},
		ExclusionType: dlppb.CustomInfoType_EXCLUSION_TYPE_EXCLUDE,
	}

	// Exclude matches that also match the custom infoType.
	exclusionRule := &dlppb.ExclusionRule{
		Type: &dlppb.ExclusionRule_ExcludeInfoTypes{
			ExcludeInfoTypes: &dlppb.ExcludeInfoTypes{
				InfoTypes: []*dlppb.InfoType{
					customInfotype.GetInfoType(),
				},
			},
		},
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_FULL_MATCH,
	}

	// Construct a ruleSet that applies the exclusion rule to the PERSON_NAME infoType.
	ruleSet := &dlppb.InspectionRuleSet{
		InfoTypes: []*dlppb.InfoType{
			{Name: infoTypeName},
		},
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_ExclusionRule{
					ExclusionRule: exclusionRule,
				},
			},
		},
	}

	// Construct the configuration for the Inspect request, including the ruleSet.
	config := &dlppb.InspectConfig{
		InfoTypes: []*dlppb.InfoType{
			{Name: infoTypeName},
		},
		CustomInfoTypes: []*dlppb.CustomInfoType{
			customInfotype,
		},
		IncludeQuote: true,
		RuleSet: []*dlppb.InspectionRuleSet{
			ruleSet,
		},
	}

	// Create a configured request.
	req := &dlppb.InspectContentRequest{
		Parent:        fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:          contentItem,
		InspectConfig: config,
	}

	// Send the request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Parse the response and process results
	fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
	for _, v := range resp.GetResult().Findings {
		fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
		fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
		fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
	}
	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.


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.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.ExclusionType;
import com.google.privacy.dlp.v2.CustomInfoType.Regex;
import com.google.privacy.dlp.v2.ExcludeInfoTypes;
import com.google.privacy.dlp.v2.ExclusionRule;
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.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class InspectStringCustomOmitOverlap {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "Name: Jane Doe. Name: Larry Page.";
    inspectStringCustomOmitOverlap(projectId, textToInspect);
  }

  // Inspects the provided text, avoiding matches specified in the exclusion list.
  public static void inspectStringCustomOmitOverlap(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();

      // Construct the custom infotype.
      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(InfoType.newBuilder().setName("VIP_DETECTOR"))
              .setRegex(Regex.newBuilder().setPattern("Larry Page|Sergey Brin"))
              .setExclusionType(ExclusionType.EXCLUSION_TYPE_EXCLUDE)
              .build();

      // Exclude matches that also match the custom infotype.
      ExclusionRule exclusionRule =
          ExclusionRule.newBuilder()
              .setExcludeInfoTypes(
                  ExcludeInfoTypes.newBuilder().addInfoTypes(customInfoType.getInfoType()))
              .setMatchingType(MatchingType.MATCHING_TYPE_FULL_MATCH)
              .build();

      // Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
      InspectionRuleSet ruleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME"))
              .addRules(InspectionRule.newBuilder().setExclusionRule(exclusionRule))
              .build();

      // Construct the configuration for the Inspect request, including the ruleset.
      InspectConfig config =
          InspectConfig.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME"))
              .addCustomInfoTypes(customInfoType)
              .setIncludeQuote(true)
              .addRuleSet(ruleSet)
              .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.

// 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 = 'Name: Jane Doe. Name: Larry Page.';

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

  // Construct a custom regex detector for names
  const customInfoTypes = [
    {
      infoType: {name: 'VIP_DETECTOR'},
      regex: {pattern: 'Larry Page|Sergey Brin'},
      exclusionType:
        DLP.protos.google.privacy.dlp.v2.CustomInfoType.ExclusionType
          .EXCLUSION_TYPE_EXCLUDE,
    },
  ];

  // Construct a exclusion rule
  const exclusionRule = {
    excludeInfoTypes: {
      infoTypes: [{name: 'VIP_DETECTOR'}],
    },
    matchingType:
      DLP.protos.google.privacy.dlp.v2.MatchingType.MATCHING_TYPE_FULL_MATCH,
  };

  // Construct a rule set that will only match if the match text does not
  // contains Info type matches.
  const ruleSet = [
    {
      infoTypes: [{name: 'PERSON_NAME'}],
      rules: [
        {
          exclusionRule: exclusionRule,
        },
      ],
    },
  ];

  // Construct the inspect configuration
  const inspectConfig = {
    infoTypes: [{name: 'PERSON_NAME'}],
    customInfoTypes: customInfoTypes,
    ruleSet: ruleSet,
    includeQuote: true,
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Run request
  const [response] = await dlp.inspectContent(request);

  // Print Findings
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringCustomOmitOverlap();

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.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\ExclusionType;
use Google\Cloud\Dlp\V2\CustomInfoType\Regex;
use Google\Cloud\Dlp\V2\ExcludeInfoTypes;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;

/**
 * Inspect a string for sensitive data, omitting custom matches
 * Omit scan matches from a PERSON_NAME detector scan that overlap with a custom detector.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 */
function inspect_string_custom_omit_overlap(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'Name: Jane Doe. Name: Larry Page.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $vipDetector = (new InfoType())
        ->setName('VIP_DETECTOR');
    $pattern = 'Larry Page|Sergey Brin';
    $customInfoType = (new CustomInfoType())
        ->setInfoType($vipDetector)
        ->setRegex((new Regex())
            ->setPattern($pattern))
        ->setExclusionType(ExclusionType::EXCLUSION_TYPE_EXCLUDE);

    // Exclude matches that also match the custom infotype.
    $exclusionRule = (new ExclusionRule())
        ->setMatchingType(MatchingType::MATCHING_TYPE_FULL_MATCH)
        ->setExcludeInfoTypes((new ExcludeInfoTypes())
                ->setInfoTypes([$customInfoType->getInfoType()])
        );

    // Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
    $personName = (new InfoType())
        ->setName('PERSON_NAME');
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([$personName])
        ->setRules([
            (new InspectionRule())
                ->setExclusionRule($exclusionRule),
        ]);

    // Construct the configuration for the Inspect request, including the ruleset.
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$personName])
        ->setCustomInfoTypes([$customInfoType])
        ->setIncludeQuote(true)
        ->setRuleSet([$inspectionRuleSet]);

    // 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) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf('  Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
        }
    }
}

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.

import google.cloud.dlp


def inspect_string_custom_omit_overlap(project: str, content_string: str) -> None:
    """Matches PERSON_NAME and a custom detector,
    but if they overlap only matches the custom detector

    Uses the Data Loss Prevention API to omit matches on a built-in detector
    if they overlap with matches from a custom detector

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.

    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Construct a custom regex detector for names
    custom_info_types = [
        {
            "info_type": {"name": "VIP_DETECTOR"},
            "regex": {"pattern": "Larry Page|Sergey Brin"},
            "exclusion_type": google.cloud.dlp_v2.CustomInfoType.ExclusionType.EXCLUSION_TYPE_EXCLUDE,
        }
    ]

    # Construct a rule set that will exclude PERSON_NAME matches
    # that overlap with VIP_DETECTOR matches
    rule_set = [
        {
            "info_types": [{"name": "PERSON_NAME"}],
            "rules": [
                {
                    "exclusion_rule": {
                        "exclude_info_types": {
                            "info_types": [{"name": "VIP_DETECTOR"}]
                        },
                        "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_FULL_MATCH,
                    }
                }
            ],
        }
    ]

    # Construct the configuration dictionary
    inspect_config = {
        "info_types": [{"name": "PERSON_NAME"}],
        "custom_info_types": custom_info_types,
        "rule_set": rule_set,
        "include_quote": True,
    }

    # 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:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

REST

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

...
    "inspectConfig":{
      "infoTypes":[
        {
          "name":"PERSON_NAME"
        }
      ],
      "customInfoTypes":[
        {
          "infoType":{
            "name":"VIP_DETECTOR"
          },
          "regex":{
            "pattern":"Dana Williams|Quinn Garcia"
          },
          "exclusionType":"EXCLUSION_TYPE_EXCLUDE"
        }
      ],
      "ruleSet":[
        {
          "infoTypes":[
            {
              "name":"PERSON_NAME"
            }
          ],
          "rules":[
            {
              "exclusionRule":{
                "excludeInfoTypes":{
                  "infoTypes":[
                    {
                      "name":"VIP_DETECTOR"
                    }
                  ]
                },
                "matchingType": "MATCHING_TYPE_FULL_MATCH"
              }
            }
          ]
        }
      ]
    }
...

Exclure les correspondances lors d'une analyse utilisant le détecteur PERSON_NAME s'il y a chevauchement avec le détecteur EMAIL_ADDRESS

L'extrait de code JSON et le code suivants dans plusieurs langages illustrent comment indiquer à la protection des données sensibles, à l'aide d'un objet InspectConfig, qu'elle ne doit renvoyer qu'une seule correspondance dans le cas où les correspondances du détecteur PERSON_NAME chevauchent celles du détecteur EMAIL_ADDRESS. Cela permet d'éviter les cas où une adresse e-mail telle que "james@example.com" génère une correspondance avec chacun des deux détecteurs PERSON_NAME et EMAIL_ADDRESS.

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.


using System;
using System.Linq;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class InspectStringOmitOverlap
{
    public static InspectContentResponse Inspect(string projectId, string textToInspect)
    {
        // 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.
        var dlp = DlpServiceClient.Create();

        // Specify the type and content to be inspected.
        var byteItem = new ByteContentItem
        {
            Type = ByteContentItem.Types.BytesType.TextUtf8,
            Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
        };
        var contentItem = new ContentItem { ByteItem = byteItem };

        // 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.
        var infoTypes = new string[] { "PERSON_NAME", "EMAIL_ADDRESS" }.Select(it => new InfoType { Name = it });

        // Exclude EMAIL_ADDRESS matches
        var exclusionRule = new ExclusionRule
        {
            ExcludeInfoTypes = new ExcludeInfoTypes { InfoTypes = { new InfoType { Name = "EMAIL_ADDRESS" } } },
            MatchingType = MatchingType.PartialMatch
        };

        // Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
        // If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
        // be excluded.
        var ruleSet = new InspectionRuleSet
        {
            InfoTypes = { new InfoType { Name = "PERSON_NAME" } },
            Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
        };

        // Construct the configuration for the Inspect request, including the ruleset.
        var config = new InspectConfig
        {
            InfoTypes = { infoTypes },
            IncludeQuote = true,
            RuleSet = { ruleSet }
        };

        // Construct the Inspect request to be sent by the client.
        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            InspectConfig = config
        };

        // Use the client to send the API request.
        var response = dlp.InspectContent(request);

        // Parse the response and process results
        Console.WriteLine($"Findings: {response.Result.Findings.Count}");
        foreach (var f in response.Result.Findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

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.

import (
	"context"
	"fmt"
	"io"

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

// inspectStringOmitOverlap inspects a string for sensitive data and
// omitting overlapping matches on person and email
func inspectStringOmitOverlap(w io.Writer, projectID, textToInspect string) error {
	// projectID := "my-project-id"
	// textToInspect := "gary@example.com"

	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()

	// Specify the type and content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_ByteItem{
			ByteItem: &dlppb.ByteContentItem{
				Type: dlppb.ByteContentItem_TEXT_UTF8,
				Data: []byte(textToInspect),
			},
		},
	}

	// 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"},
	}

	// Exclude EMAIL_ADDRESS matches
	exclusionRule := &dlppb.ExclusionRule{
		Type: &dlppb.ExclusionRule_ExcludeInfoTypes{
			ExcludeInfoTypes: &dlppb.ExcludeInfoTypes{
				InfoTypes: []*dlppb.InfoType{
					{Name: "EMAIL_ADDRESS"},
				},
			},
		},
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_PARTIAL_MATCH,
	}

	// Construct a ruleSet that applies the exclusion rule to the PERSON_NAME infoType.
	// If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
	// be excluded.
	ruleSet := &dlppb.InspectionRuleSet{
		InfoTypes: []*dlppb.InfoType{
			{Name: "PERSON_NAME"},
		},
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_ExclusionRule{
					ExclusionRule: exclusionRule,
				},
			},
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:   contentItem,
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes:    infoTypes,
			IncludeQuote: true,
			RuleSet: []*dlppb.InspectionRuleSet{
				ruleSet,
			},
		},
	}

	// Send the request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
	for _, v := range resp.GetResult().Findings {
		fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
		fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
		fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
	}
	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.


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.ExcludeInfoTypes;
import com.google.privacy.dlp.v2.ExclusionRule;
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.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

public class InspectStringOmitOverlap {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "james@example.com";
    inspectStringOmitOverlap(projectId, textToInspect);
  }

  // Inspects the provided text, avoiding matches specified in the exclusion list.
  public static void inspectStringOmitOverlap(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.
      // 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());
      }

      // Exclude EMAIL_ADDRESS matches
      ExclusionRule exclusionRule =
          ExclusionRule.newBuilder()
              .setExcludeInfoTypes(
                  ExcludeInfoTypes.newBuilder()
                      .addInfoTypes(InfoType.newBuilder().setName("EMAIL_ADDRESS")))
              .setMatchingType(MatchingType.MATCHING_TYPE_PARTIAL_MATCH)
              .build();

      // Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
      // If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
      // be excluded.
      InspectionRuleSet ruleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME"))
              .addRules(InspectionRule.newBuilder().setExclusionRule(exclusionRule))
              .build();

      // Construct the configuration for the Inspect request, including the ruleset.
      InspectConfig config =
          InspectConfig.newBuilder()
              .addAllInfoTypes(infoTypes)
              .setIncludeQuote(true)
              .addRuleSet(ruleSet)
              .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.

// 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 = 'james@example.com';

async function inspectStringWithoutOverlapPersonEmail() {
  // Construct item to inspect
  const item = {
    byteItem: {
      type: DLP.protos.google.privacy.dlp.v2.ByteContentItem.BytesType
        .TEXT_UTF8,
      data: Buffer.from(string, 'utf-8'),
    },
  };

  // Specify the type of info the inspection will look for.
  const infoTypes = [{name: 'PERSON_NAME'}, {name: 'EMAIL_ADDRESS'}];

  // Exclude EMAIL_ADDRESS matches
  const exclusionRule = {
    excludeInfoTypes: {
      infoTypes: [{name: 'EMAIL_ADDRESS'}],
    },
    matchingType:
      DLP.protos.google.privacy.dlp.v2.MatchingType
        .MATCHING_TYPE_PARTIAL_MATCH,
  };

  // Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
  // If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
  // be excluded.
  const ruleSet = [
    {
      infoTypes: [{name: 'PERSON_NAME'}],
      rules: [
        {
          exclusionRule: exclusionRule,
        },
      ],
    },
  ];

  // Construct the configuration for the Inspect request, including the ruleset.
  const inspectConfig = {
    infoTypes: infoTypes,
    ruleSet: ruleSet,
    includeQuote: true,
  };

  // Construct the Inspect request to be sent by the client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Run request
  const [response] = await dlp.inspectContent(request);

  // Print Findings
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringWithoutOverlapPersonEmail();

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.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\ExcludeInfoTypes;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;

/**
 * Inspect a string for sensitive data, omitting overlapping matches on person and email
 * Omit matches on a PERSON_NAME detector if also matched by an EMAIL_ADDRESS detector.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 */
function inspect_string_omit_overlap(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'james@example.org is an email.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $personName = (new InfoType())
        ->setName('PERSON_NAME');
    $emailAddress = (new InfoType())
        ->setName('EMAIL_ADDRESS');
    $infoTypes = [$personName, $emailAddress];

    // Exclude EMAIL_ADDRESS matches
    $exclusionRule = (new ExclusionRule())
        ->setMatchingType(MatchingType::MATCHING_TYPE_PARTIAL_MATCH)
        ->setExcludeInfoTypes((new ExcludeInfoTypes())
                ->setInfoTypes([$emailAddress])
        );

    // Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
    // If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
    // be excluded.
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([$personName])
        ->setRules([
            (new InspectionRule())
                ->setExclusionRule($exclusionRule),
        ]);

    // Construct the configuration for the Inspect request, including the ruleset.
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes($infoTypes)
        ->setIncludeQuote(true)
        ->setRuleSet([$inspectionRuleSet]);

    // 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) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf('  Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
        }
    }
}

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.

import google.cloud.dlp


def inspect_string_omit_overlap(
    project: str,
    content_string: str,
) -> None:
    """Matches PERSON_NAME and EMAIL_ADDRESS, but not both.

    Uses the Data Loss Prevention API omit matches on PERSON_NAME if the
    EMAIL_ADDRESS detector also matches.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.

    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Construct a list of infoTypes for DLP to locate in `content_string`. See
    # https://cloud.google.com/dlp/docs/concepts-infotypes for more information
    # about supported infoTypes.
    info_types_to_locate = [{"name": "PERSON_NAME"}, {"name": "EMAIL_ADDRESS"}]

    # Construct the configuration dictionary that will only match on PERSON_NAME
    # if the EMAIL_ADDRESS doesn't also match. This configuration helps reduce
    # the total number of findings when there is a large overlap between different
    # infoTypes.
    inspect_config = {
        "info_types": info_types_to_locate,
        "rule_set": [
            {
                "info_types": [{"name": "PERSON_NAME"}],
                "rules": [
                    {
                        "exclusion_rule": {
                            "exclude_info_types": {
                                "info_types": [{"name": "EMAIL_ADDRESS"}]
                            },
                            "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_PARTIAL_MATCH,
                        }
                    }
                ],
            }
        ],
        "include_quote": True,
    }

    # 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:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

REST

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

...
    "inspectConfig":{
      "infoTypes":[
        {
          "name":"PERSON_NAME"
        },
        {
          "name":"EMAIL_ADDRESS"
        }
      ],
      "ruleSet":[
        {
          "infoTypes":[
            {
              "name":"PERSON_NAME"
            }
          ],
          "rules":[
            {
              "exclusionRule":{
                "excludeInfoTypes":{
                  "infoTypes":[
                    {
                      "name":"EMAIL_ADDRESS"
                    }
                  ]
                },
                "matchingType": "MATCHING_TYPE_PARTIAL_MATCH"
              }
            }
          ]
        }
      ]
    }
...

Exclure les correspondances sur les noms de domaines faisant partie d'adresses e-mail lors d'une analyse utilisant le détecteur DOMAIN_NAME

L'extrait de code JSON et le code suivants dans plusieurs langages montrent comment indiquer à la protection des données sensibles, à l'aide d'un objet InspectConfig, qu'elle ne doit renvoyer les correspondances d'une analyse du détecteur DOMAIN_NAME que si la correspondance ne chevauche pas celle d'une analyse du détecteur EMAIL_ADDRESS. Dans ce scénario, l'analyse principale est une analyse réalisée avec le détecteur DOMAIN_NAME. L'utilisateur ne souhaite pas qu'une correspondance de nom de domaine apparaisse dans les résultats si le nom de domaine figure dans une adresse e-mail :

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.


using System.Linq;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using static Google.Cloud.Dlp.V2.CustomInfoType.Types;

public class InspectStringWithoutOverlap
{
    public static InspectContentResponse Inspect(string projectId, string textToInspect)
    {
        // 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.
        var dlp = DlpServiceClient.Create();

        // Specify the type and content to be inspected.
        var byteContentItem = new ByteContentItem
        {
            Type = ByteContentItem.Types.BytesType.TextUtf8,
            Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
        };
        var contentItem = new ContentItem
        {
            ByteItem = byteContentItem
        };

        // 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.
        var infoTypes = new string[] { "DOMAIN_NAME", "EMAIL_ADDRESS" }.Select(it => new InfoType { Name = it });

        // Define a custom info type to exclude email addresses
        var customInfoType = new CustomInfoType
        {
            InfoType = new InfoType { Name = "EMAIL_ADDRESS" },
            ExclusionType = ExclusionType.Exclude
        };

        // Exclude EMAIL_ADDRESS matches
        var exclusionRule = new ExclusionRule
        {
            ExcludeInfoTypes = new ExcludeInfoTypes
            {
                InfoTypes = { new InfoType { Name = "EMAIL_ADDRESS" } }
            },
            MatchingType = MatchingType.PartialMatch
        };

        // Construct a ruleset that applies the exclusion rule to the DOMAIN_NAME infotype.
        // If a DOMAIN_NAME match is part of an EMAIL_ADDRESS match, the DOMAIN_NAME match will
        // be excluded.
        var ruleSet = new InspectionRuleSet
        {
            InfoTypes = { new InfoType { Name = "DOMAIN_NAME" } },
            Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
        };

        // Construct the configuration for the Inspect request, including the ruleset.
        var config = new InspectConfig
        {
            InfoTypes = { infoTypes },
            CustomInfoTypes = { customInfoType },
            IncludeQuote = true,
            RuleSet = { ruleSet }
        };

        // Construct the Inspect request to be sent by the client.
        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            InspectConfig = config
        };

        // Use the client to send the API request.
        var response = dlp.InspectContent(request);

        return response;
    }
}

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.


import (
	"context"
	"fmt"
	"io"

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

// inspectStringWithoutOverlap inspects a string for sensitive data
// and omit overlapping matches on domain and email
func inspectStringWithoutOverlap(w io.Writer, projectID, textToInspect string) error {
	// projectID := "my-project-id"
	// textToInspect := "example.com is a domain, james@example.org is an email."

	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()

	// Specify the type and content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_ByteItem{
			ByteItem: &dlppb.ByteContentItem{
				Type: dlppb.ByteContentItem_TEXT_UTF8,
				Data: []byte(textToInspect),
			},
		},
	}

	// 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: "DOMAIN_NAME"},
		{Name: "EMAIL_ADDRESS"},
	}

	// Define a custom info type to exclude email addresses
	customInfotype := &dlppb.CustomInfoType{
		InfoType: &dlppb.InfoType{
			Name: "EMAIL_ADDRESS",
		},
		ExclusionType: dlppb.CustomInfoType_EXCLUSION_TYPE_EXCLUDE,
	}

	// Exclude EMAIL_ADDRESS matches
	exclusionRule := &dlppb.ExclusionRule{
		Type: &dlppb.ExclusionRule_ExcludeInfoTypes{
			ExcludeInfoTypes: &dlppb.ExcludeInfoTypes{
				InfoTypes: []*dlppb.InfoType{
					{Name: "EMAIL_ADDRESS"},
				},
			},
		},
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_PARTIAL_MATCH,
	}

	// Construct a ruleSet that applies the exclusion rule to the DOMAIN_NAME infoType.
	// If a DOMAIN_NAME match is part of an EMAIL_ADDRESS match, the DOMAIN_NAME match will
	// be excluded.
	ruleSet := &dlppb.InspectionRuleSet{
		InfoTypes: []*dlppb.InfoType{
			{Name: "DOMAIN_NAME"},
		},
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_ExclusionRule{
					ExclusionRule: exclusionRule,
				},
			},
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:   contentItem,
		// Construct the Inspect request to be sent by the client.
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: infoTypes,
			CustomInfoTypes: []*dlppb.CustomInfoType{
				customInfotype,
			},
			IncludeQuote: true,
			RuleSet: []*dlppb.InspectionRuleSet{
				ruleSet,
			},
		},
	}

	// Send the request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
	for _, v := range resp.GetResult().Findings {
		fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
		fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
		fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
	}
	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.


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.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.ExclusionType;
import com.google.privacy.dlp.v2.ExcludeInfoTypes;
import com.google.privacy.dlp.v2.ExclusionRule;
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.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

public class InspectStringWithoutOverlap {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "example.com is a domain, james@example.org is an email.";
    inspectStringWithoutOverlap(projectId, textToInspect);
  }

  // Inspects the provided text, avoiding matches specified in the exclusion list.
  public static void inspectStringWithoutOverlap(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.
      // 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[] {"DOMAIN_NAME", "EMAIL_ADDRESS"}) {
        infoTypes.add(InfoType.newBuilder().setName(typeName).build());
      }

      // Define a custom info type to exclude email addresses
      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(InfoType.newBuilder().setName("EMAIL_ADDRESS"))
              .setExclusionType(ExclusionType.EXCLUSION_TYPE_EXCLUDE)
              .build();

      // Exclude EMAIL_ADDRESS matches
      ExclusionRule exclusionRule =
          ExclusionRule.newBuilder()
              .setExcludeInfoTypes(
                  ExcludeInfoTypes.newBuilder()
                      .addInfoTypes(InfoType.newBuilder().setName("EMAIL_ADDRESS")))
              .setMatchingType(MatchingType.MATCHING_TYPE_PARTIAL_MATCH)
              .build();

      // Construct a ruleset that applies the exclusion rule to the DOMAIN_NAME infotype.
      // If a DOMAIN_NAME match is part of an EMAIL_ADDRESS match, the DOMAIN_NAME match will
      // be excluded.
      InspectionRuleSet ruleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("DOMAIN_NAME"))
              .addRules(InspectionRule.newBuilder().setExclusionRule(exclusionRule))
              .build();

      // Construct the configuration for the Inspect request, including the ruleset.
      InspectConfig config =
          InspectConfig.newBuilder()
              .addAllInfoTypes(infoTypes)
              .addCustomInfoTypes(customInfoType)
              .setIncludeQuote(true)
              .addRuleSet(ruleSet)
              .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.

// 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 = 'example.com is a domain, james@example.org is an email.';

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

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

  // Define a custom info type to exclude email addresses
  const customInfoTypes = [
    {
      infoType: {name: 'EMAIL_ADDRESS'},
      exclusionType:
        DLP.protos.google.privacy.dlp.v2.CustomInfoType.ExclusionType
          .EXCLUSION_TYPE_EXCLUDE,
    },
  ];

  // Construct a exclusion rule
  const exclusionRule = {
    excludeInfoTypes: {
      infoTypes: [{name: 'EMAIL_ADDRESS'}],
    },
    matchingType:
      DLP.protos.google.privacy.dlp.v2.MatchingType
        .MATCHING_TYPE_PARTIAL_MATCH,
  };

  // Construct a rule set with exclusions
  const ruleSet = [
    {
      infoTypes: [{name: 'DOMAIN_NAME'}],
      rules: [
        {
          exclusionRule: exclusionRule,
        },
      ],
    },
  ];

  // Construct the inspect configuration
  const inspectConfig = {
    infoTypes: infoTypes,
    customInfoTypes: customInfoTypes,
    ruleSet: ruleSet,
    includeQuote: true,
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Run request
  const [response] = await dlp.inspectContent(request);

  // Print Findings
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringWithoutOverlap();

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.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\ExclusionType;
use Google\Cloud\Dlp\V2\ExcludeInfoTypes;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;

/**
 * Inspect a string for sensitive data, omitting overlapping matches on domain and email
 * Omit matches on domain names that are part of email addresses in a DOMAIN_NAME detector scan.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 */
function inspect_string_without_overlap(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'example.com is a domain, james@example.org is an email.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $domainName = (new InfoType())
        ->setName('DOMAIN_NAME');
    $emailAddress = (new InfoType())
        ->setName('EMAIL_ADDRESS');
    $infoTypes = [$domainName, $emailAddress];

    // Define a custom info type to exclude email addresses
    $customInfoType = (new CustomInfoType())
        ->setInfoType($emailAddress)
        ->setExclusionType(ExclusionType::EXCLUSION_TYPE_EXCLUDE);

    // Exclude EMAIL_ADDRESS matches
    $matchingType = MatchingType::MATCHING_TYPE_PARTIAL_MATCH;

    $exclusionRule = (new ExclusionRule())
        ->setMatchingType($matchingType)
        ->setExcludeInfoTypes((new ExcludeInfoTypes())
            ->setInfoTypes([$customInfoType->getInfoType()])
        );

    // Construct a ruleset that applies the exclusion rule to the DOMAIN_NAME infotype.
    // If a DOMAIN_NAME match is part of an EMAIL_ADDRESS match, the DOMAIN_NAME match will
    // be excluded.
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([$domainName])
        ->setRules([
            (new InspectionRule())
                ->setExclusionRule($exclusionRule),
        ]);

    // Construct the configuration for the Inspect request, including the ruleset.
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes($infoTypes)
        ->setCustomInfoTypes([$customInfoType])
        ->setIncludeQuote(true)
        ->setRuleSet([$inspectionRuleSet]);

    // 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) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf(
                '  Likelihood: %s' . PHP_EOL,
                Likelihood::name($finding->getLikelihood()));
        }
    }
}

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.

import google.cloud.dlp


def inspect_string_without_overlap(project: str, content_string: str) -> None:
    """Matches EMAIL_ADDRESS and DOMAIN_NAME, but DOMAIN_NAME is omitted
    if it overlaps with EMAIL_ADDRESS

    Uses the Data Loss Prevention API to omit matches of one infotype
    that overlap with another.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.

    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Construct a list of infoTypes for DLP to locate in `content_string`. See
    # https://cloud.google.com/dlp/docs/concepts-infotypes for more information
    # about supported infoTypes.
    info_types_to_locate = [{"name": "DOMAIN_NAME"}, {"name": "EMAIL_ADDRESS"}]

    # Define a custom info type to exclude email addresses
    custom_info_types = [
        {
            "info_type": {"name": "EMAIL_ADDRESS"},
            "exclusion_type": google.cloud.dlp_v2.CustomInfoType.ExclusionType.EXCLUSION_TYPE_EXCLUDE,
        }
    ]

    # Construct a rule set that will exclude DOMAIN_NAME matches
    # that overlap with EMAIL_ADDRESS matches
    rule_set = [
        {
            "info_types": [{"name": "DOMAIN_NAME"}],
            "rules": [
                {
                    "exclusion_rule": {
                        "exclude_info_types": {
                            "info_types": [{"name": "EMAIL_ADDRESS"}]
                        },
                        "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_PARTIAL_MATCH,
                    }
                }
            ],
        }
    ]

    # Construct the configuration dictionary
    inspect_config = {
        "info_types": info_types_to_locate,
        "custom_info_types": custom_info_types,
        "rule_set": rule_set,
        "include_quote": True,
    }

    # 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:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

REST

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

...
    "inspectConfig":{
      "infoTypes":[
        {
          "name":"DOMAIN_NAME"
        },
        {
          "name":"EMAIL_ADDRESS"
        }
      ],
      "customInfoTypes":[
        {
          "infoType":{
            "name":"EMAIL_ADDRESS"
          },
          "exclusionType":"EXCLUSION_TYPE_EXCLUDE"
        }
      ],
      "ruleSet":[
        {
          "infoTypes":[
            {
              "name":"DOMAIN_NAME"
            }
          ],
          "rules":[
            {
              "exclusionRule":{
                "excludeInfoTypes":{
                  "infoTypes":[
                    {
                      "name":"EMAIL_ADDRESS"
                    }
                  ]
                },
                "matchingType": "MATCHING_TYPE_PARTIAL_MATCH"
              }
            }
          ]
        }
      ]
    }
...

Omettre les correspondances si elles se trouvent à proximité d'une chaîne

L'exemple suivant montre comment exclure les correspondances du détecteur d'infoType US_SOCIAL_SECURITY_NUMBER si le mot "SKU" se trouve dans les 10 caractères avant ou après la recherche.

En raison de la règle d'exclusion, cet exemple ne classe pas 222-22-2222 comme un possible numéro de sécurité sociale américain.

{
  "item": {
    "value": "The customer sent the product SKU 222-22-2222"
  },
  "inspectConfig": {
    "infoTypes": [
      {
        "name": "US_SOCIAL_SECURITY_NUMBER"
      }
    ],
    "ruleSet": [
      {
        "infoTypes": [
          {
            "name": "US_SOCIAL_SECURITY_NUMBER"
          }
        ],
        "rules": [
          {
            "exclusionRule": {
              "excludeByHotword": {
                "hotwordRegex": {
                  "pattern": "(SKU)"
                },
                "proximity": {
                  "windowBefore": 10,
                  "windowAfter": 10
                }
              },
              "matchingType": "MATCHING_TYPE_FULL_MATCH"
            }
          }
        ]
      }
    ],
    "includeQuote": true
  }
}

Omettre les résultats d'une colonne entière de données

L'exemple suivant montre comment exclure les résultats d'une colonne entière de données tabulaires si le nom de cette colonne correspond à une expression régulière. Ici, tout résultat correspondant au détecteur d'infoType US_SOCIAL_SECURITY_NUMBER est exclu des résultats s'il se trouve dans la colonne Numéro de sécurité sociale factice.

Cet exemple ne renvoie que 222-22-2222, car 111-11-1111 se trouve dans la colonne Numéro de sécurité sociale factice.

{
  "item": {
    "table": {
      "headers": [
        {
          "name": "Fake Social Security Number"
        },
        {
          "name": "Real Social Security Number"
        }
      ],
      "rows": [
        {
          "values": [
            {
              "stringValue": "111-11-1111"
            },
            {
              "stringValue": "222-22-2222"
            }
          ]
        }
      ]
    }
  },
  "inspectConfig": {
    "infoTypes": [
      {
        "name": "US_SOCIAL_SECURITY_NUMBER"
      }
    ],
    "includeQuote": true,
    "ruleSet": [
      {
        "infoTypes": [
          {
            "name": "US_SOCIAL_SECURITY_NUMBER"
          }
        ],
        "rules": [
          {
            "exclusionRule": {
              "excludeByHotword": {
                "hotwordRegex": {
                  "pattern": "(Fake Social Security Number)"
                },
                "proximity": {
                  "windowBefore": 1
                }
              },
              "matchingType": "MATCHING_TYPE_FULL_MATCH"
            }
          }
        ]
      }
    ],
    "minLikelihood": "POSSIBLE"
  }
}

Règles relatives aux mots clés

Les règles relatives aux mots clés sont utiles dans les situations suivantes :

Vous souhaitez modifier les valeurs de probabilité affectées aux résultats de l'analyse en fonction de leur proximité avec un mot clé. Par exemple, vous pourriez souhaiter augmenter la valeur de probabilité des correspondances de noms de patients selon la proximité de ces noms avec le mot "patient".
Lors de l'inspection de données tabulaires structurées, vous souhaitez modifier les valeurs de probabilité attribuées aux correspondances en fonction d'un nom d'en-tête de colonne. Par exemple, vous souhaitez définir une valeur de probabilité supérieure pour le paramètre US_SOCIAL_SECURITY_NUMBER lorsqu'il se trouve dans une colonne avec l'en-tête ACCOUNT_ID.

Présentation de l'API des règles relatives aux mots clés

Dans l'objet InspectionRule de la protection des données sensibles, vous spécifiez un objet HotwordRule, qui ajuste la probabilité des résultats situés dans un espace de proximité avec certains mots clés.

Les objets InspectionRule sont regroupés en tant qu'ensemble de règles dans un objet InspectionRuleSet, comprenant la liste des détecteurs d'infoTypes auxquels elles s'appliquent. Les règles d'un ensemble de règles sont appliquées dans l'ordre spécifié.

Exemples de scénarios concernant les règles relatives aux mots clés

L'extrait de code suivant montre comment configurer la protection des données sensibles pour le scénario donné.

Augmenter la probabilité d'une correspondance avec PERSON_NAME si le mot clé "patient" figure à proximité

L'extrait de code JSON et le code suivants dans plusieurs langages illustrent l'utilisation de la propriété InspectConfig pour rechercher des noms de patients via l'analyse d'une base de données médicale. Pour cela, vous pouvez utiliser le détecteur d'infoType PERSON_NAME intégré à la protection des données sensibles, mais vous obtiendrez des correspondances avec tous les noms de personnes, et pas seulement avec des noms de patients. Pour résoudre ce problème, vous pouvez inclure une règle relative aux mots clés qui recherche le mot "patient" à proximité du premier caractère des correspondances potentielles. Vous pouvez ensuite attribuer aux résultats correspondant à ce modèle une valeur de probabilité "very_likely" (très probable), car ils répondent à vos critères spéciaux. Lorsque vous définissez la valeur minimale de Likelihood sur VERY_LIKELY dans InspectConfig, cela garantit que seules les correspondances atteignant ce niveau de probabilité figureront dans les résultats.

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.


using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using System;
using static Google.Cloud.Dlp.V2.CustomInfoType.Types;

public class InspectStringCustomHotword
{
    public static InspectContentResponse Inspect(string projectId, string textToInspect, string customHotword)
    {
        var dlp = DlpServiceClient.Create();

        var byteContentItem = new ByteContentItem
        {
            Type = ByteContentItem.Types.BytesType.TextUtf8,
            Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
        };

        var contentItem = new ContentItem
        {
            ByteItem = byteContentItem
        };

        var hotwordRule = new DetectionRule.Types.HotwordRule
        {
            HotwordRegex = new Regex { Pattern = customHotword },
            Proximity = new DetectionRule.Types.Proximity { WindowBefore = 50 },
            LikelihoodAdjustment = new DetectionRule.Types.LikelihoodAdjustment { FixedLikelihood = Likelihood.VeryLikely }
        };

        var infoType = new InfoType { Name = "PERSON_NAME" };

        var inspectionRuleSet = new InspectionRuleSet
        {
            InfoTypes = { infoType },
            Rules = { new InspectionRule { HotwordRule = hotwordRule } }
        };

        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoType },
            IncludeQuote = true,
            RuleSet = { inspectionRuleSet },
            MinLikelihood = Likelihood.VeryLikely
        };

        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            InspectConfig = inspectConfig
        };

        var response = dlp.InspectContent(request);

        Console.WriteLine($"Findings: {response.Result.Findings.Count}");
        foreach (var f in response.Result.Findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

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.

import (
	"context"
	"fmt"
	"io"

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

// inspectStringCustomHotWord inspects a string from sensitive data by using a custom hot word
func inspectStringCustomHotWord(w io.Writer, projectID, textToInspect, customHotWord, infoTypeName string) error {
	// projectID := "my-project-id"
	// textToInspect := "patient name: John Doe"
	// customHotWord := "patient"
	// infoTypeName := "PERSON_NAME"

	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()

	// Specify the type and content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_ByteItem{
			ByteItem: &dlppb.ByteContentItem{
				Type: dlppb.ByteContentItem_TEXT_UTF8,
				Data: []byte(textToInspect),
			},
		},
	}

	// Increase likelihood of matches that have customHotword nearby
	hotwordRule := &dlppb.InspectionRule_HotwordRule{

		HotwordRule: &dlppb.CustomInfoType_DetectionRule_HotwordRule{
			HotwordRegex: &dlppb.CustomInfoType_Regex{
				Pattern: customHotWord,
			},
			Proximity: &dlppb.CustomInfoType_DetectionRule_Proximity{
				WindowBefore: 50,
			},
			LikelihoodAdjustment: &dlppb.CustomInfoType_DetectionRule_LikelihoodAdjustment{
				Adjustment: &dlppb.CustomInfoType_DetectionRule_LikelihoodAdjustment_FixedLikelihood{
					FixedLikelihood: dlppb.Likelihood_VERY_LIKELY,
				},
			},
		},
	}

	// Construct a ruleset that applies the hotword rule to the PERSON_NAME infotype.
	ruleSet := &dlppb.InspectionRuleSet{
		InfoTypes: []*dlppb.InfoType{
			{Name: infoTypeName}, //"PERSON_NAME"
		},
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_HotwordRule{
					HotwordRule: hotwordRule.HotwordRule,
				},
			},
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:   contentItem,
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: []*dlppb.InfoType{
				{Name: infoTypeName}, //"PERSON_NAME"
			},
			IncludeQuote:  true,
			MinLikelihood: dlppb.Likelihood_VERY_LIKELY,
			RuleSet: []*dlppb.InspectionRuleSet{
				ruleSet,
			},
		},
	}

	// Send the request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Parse the response and process results
	fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
	for _, v := range resp.GetResult().Findings {
		fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
		fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
		fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
	}
	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.


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.CustomInfoType.DetectionRule.HotwordRule;
import com.google.privacy.dlp.v2.CustomInfoType.DetectionRule.LikelihoodAdjustment;
import com.google.privacy.dlp.v2.CustomInfoType.DetectionRule.Proximity;
import com.google.privacy.dlp.v2.CustomInfoType.Regex;
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.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.Likelihood;
import com.google.privacy.dlp.v2.LocationName;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class InspectStringCustomHotword {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "patient name: John Doe";
    String customHotword = "patient";
    inspectStringCustomHotword(projectId, textToInspect, customHotword);
  }

  // Inspects the provided text.
  public static void inspectStringCustomHotword(
      String projectId, String textToInspect, String customHotword) 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();

      // Increase likelihood of matches that have customHotword nearby
      HotwordRule hotwordRule =
          HotwordRule.newBuilder()
              .setHotwordRegex(Regex.newBuilder().setPattern(customHotword))
              .setProximity(Proximity.newBuilder().setWindowBefore(50))
              .setLikelihoodAdjustment(
                  LikelihoodAdjustment.newBuilder().setFixedLikelihood(Likelihood.VERY_LIKELY))
              .build();

      // Construct a ruleset that applies the hotword rule to the PERSON_NAME infotype.
      InspectionRuleSet ruleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME").build())
              .addRules(InspectionRule.newBuilder().setHotwordRule(hotwordRule))
              .build();

      // Construct the configuration for the Inspect request.
      InspectConfig config =
          InspectConfig.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME").build())
              .setIncludeQuote(true)
              .addRuleSet(ruleSet)
              .setMinLikelihood(Likelihood.VERY_LIKELY)
              .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.

// 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 = 'patient name: John Doe';

// Custom hotward
// const customHotword = 'patient';

async function inspectStringCustomHotword() {
  // Specify the type and content to be inspected.
  const item = {
    byteItem: {
      type: DLP.protos.google.privacy.dlp.v2.ByteContentItem.BytesType
        .TEXT_UTF8,
      data: Buffer.from(string, 'utf-8'),
    },
  };

  // Increase likelihood of matches that have customHotword nearby.
  const hotwordRule = {
    hotwordRegex: {
      pattern: customHotword,
    },
    proximity: {
      windowBefore: 50,
    },
    likelihoodAdjustment: {
      fixedLikelihood:
        DLP.protos.google.privacy.dlp.v2.Likelihood.VERY_LIKELY,
    },
  };

  // Construct a ruleset that applies the hotword rule to the PERSON_NAME infotype.
  const ruleSet = [
    {
      infoTypes: [{name: 'PERSON_NAME'}],
      rules: [
        {
          hotwordRule: hotwordRule,
        },
      ],
    },
  ];

  // Construct the configuration for the Inspect request.
  const inspectConfig = {
    infoTypes: [{name: 'PERSON_NAME'}],
    ruleSet: ruleSet,
    includeQuote: true,
  };

  // Construct the Inspect request to be sent by the client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Use the client to send the API request.
  const [response] = await dlp.inspectContent(request);

  // Print findings.
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringCustomHotword();

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.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType\DetectionRule\HotwordRule;
use Google\Cloud\Dlp\V2\CustomInfoType\DetectionRule\LikelihoodAdjustment;
use Google\Cloud\Dlp\V2\CustomInfoType\DetectionRule\Proximity;
use Google\Cloud\Dlp\V2\CustomInfoType\Regex;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;

/**
 * Inspect a string from sensitive data by using a custom hotword
 * Increase the likelihood of a PERSON_NAME match if there is the hotword "patient" nearby. Illustrates using the InspectConfig property for the purpose of scanning a medical database for patient names. You can use Cloud DLP's built-in PERSON_NAME infoType detector, but that causes Cloud DLP to match on all names of people, not just names of patients. To fix this, you can include a hotword rule that looks for the word "patient" within a certain character proximity from the first character of potential matches. You can then assign findings that match this pattern a likelihood of "very likely," since they correspond to your special criteria. Setting the minimum likelihood to VERY_LIKELY within InspectConfig ensures that only matches to this configuration are returned in findings.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 */
function inspect_string_custom_hotword(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'patient name: John Doe'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Construct hotword rules
    $hotwordRule = (new HotwordRule())
        ->setHotwordRegex(
            (new Regex())
                ->setPattern('patient')
        )
        ->setProximity(
            (new Proximity())
                ->setWindowBefore(50)
        )
        ->setLikelihoodAdjustment(
            (new LikelihoodAdjustment())
                ->setFixedLikelihood(Likelihood::VERY_LIKELY)
        );

    // Construct a ruleset that applies the hotword rule to the PERSON_NAME infotype.
    $personName = (new InfoType())
        ->setName('PERSON_NAME');
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([$personName])
        ->setRules([
            (new InspectionRule())
                ->setHotwordRule($hotwordRule),
        ]);

    // Construct the configuration for the Inspect request, including the ruleset.
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$personName])
        ->setIncludeQuote(true)
        ->setRuleSet([$inspectionRuleSet])
        ->setMinLikelihood(Likelihood::VERY_LIKELY);

    // 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) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf('  Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
        }
    }
}

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.

import google.cloud.dlp


def inspect_string_w_custom_hotword(
    project: str, content_string: str, custom_hotword: str = "patient"
) -> None:
    """Uses the Data Loss Prevention API increase likelihood for matches on
       PERSON_NAME if the user specified custom hot-word is present. Only
       includes findings with the increased likelihood by setting a minimum
       likelihood threshold of VERY_LIKELY.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.
        custom_hotword: The custom hot-word used for likelihood boosting.
    """

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

    # Construct a rule set with caller provided hotword, with a likelihood
    # boost to VERY_LIKELY when the hotword are present within the 50 character-
    # window preceding the PII finding.
    hotword_rule = {
        "hotword_regex": {"pattern": custom_hotword},
        "likelihood_adjustment": {
            "fixed_likelihood": google.cloud.dlp_v2.Likelihood.VERY_LIKELY
        },
        "proximity": {"window_before": 50},
    }

    rule_set = [
        {
            "info_types": [{"name": "PERSON_NAME"}],
            "rules": [{"hotword_rule": hotword_rule}],
        }
    ]

    # Construct the configuration dictionary with the custom regex info type.
    inspect_config = {
        "rule_set": rule_set,
        "min_likelihood": google.cloud.dlp_v2.Likelihood.VERY_LIKELY,
        "include_quote": True,
    }

    # 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:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

REST

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

...
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"PERSON_NAME"
      }
    ],
    "ruleSet":[
      {
        "infoTypes":[
          {
            "name":"PERSON_NAME"
          }
        ],
        "rules":[
          {
            "hotwordRule":{
              "hotwordRegex":{
                "pattern":"patient"
              },
              "proximity":{
                "windowBefore":50
              },
              "likelihoodAdjustment":{
                "fixedLikelihood":"VERY_LIKELY"
              }
            }
          }
        ]
      }
    ],
    "minLikelihood":"VERY_LIKELY"
  }
...

Pour en savoir plus sur les mots clés, consultez la page Personnaliser la probabilité de correspondance.

Scénario utilisant plusieurs règles d'inspection

L'extrait de code JSON et le code InspectConfig suivants dans plusieurs langages illustrent l'application des règles d'exclusion et relatives aux mots clé. L'ensemble de règles de cet extrait inclut à la fois des règles relatives aux mots clés et des règles d'exclusion basées sur un dictionnaire et des expressions régulières. Notez que les quatre règles sont spécifiées dans un tableau au sein de l'élément rules.

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.


using System;
using System.Text.RegularExpressions;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using static Google.Cloud.Dlp.V2.CustomInfoType.Types;

public class InspectStringMultipleRules
{
    public static InspectContentResponse Inspect(string projectId, string textToInspect)
    {
        var dlp = DlpServiceClient.Create();

        var byteContentItem = new ByteContentItem
        {
            Type = ByteContentItem.Types.BytesType.TextUtf8,
            Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
        };

        var contentItem = new ContentItem
        {
            ByteItem = byteContentItem
        };

        var patientRule = new DetectionRule.Types.HotwordRule
        {
            HotwordRegex = new CustomInfoType.Types.Regex { Pattern = "patient" },
            Proximity = new DetectionRule.Types.Proximity { WindowBefore = 10 },
            LikelihoodAdjustment = new DetectionRule.Types.LikelihoodAdjustment { FixedLikelihood = Likelihood.VeryLikely }
        };

        var doctorRule = new DetectionRule.Types.HotwordRule
        {
            HotwordRegex = new CustomInfoType.Types.Regex { Pattern = "doctor" },
            Proximity = new DetectionRule.Types.Proximity { WindowBefore = 10 },
            LikelihoodAdjustment = new DetectionRule.Types.LikelihoodAdjustment { FixedLikelihood = Likelihood.Unlikely }
        };

        // Construct exclusion rules
        var quasimodoRule = new ExclusionRule
        {
            Dictionary = new Dictionary { WordList = new Dictionary.Types.WordList { Words = { "Quasimodo" } } },
            MatchingType = MatchingType.PartialMatch
        };

        var redactedRule = new ExclusionRule
        {
            Regex = new CustomInfoType.Types.Regex { Pattern = "REDACTED" },
            MatchingType = MatchingType.PartialMatch
        };

        var infoType = new InfoType { Name = "PERSON_NAME" };

        var inspectionRuleSet = new InspectionRuleSet
        {
            InfoTypes = { infoType },
            Rules =
            {
                new InspectionRule { HotwordRule = patientRule },
                new InspectionRule { HotwordRule = doctorRule},
                new InspectionRule { ExclusionRule = quasimodoRule },
                new InspectionRule { ExclusionRule = redactedRule }
            }
        };

        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoType },
            IncludeQuote = true,
            RuleSet = { inspectionRuleSet }
        };

        var request = new InspectContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            InspectConfig = inspectConfig
        };

        var response = dlp.InspectContent(request);

        Console.WriteLine($"Findings: {response.Result.Findings.Count}");
        foreach (var f in response.Result.Findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

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.

import (
	"context"
	"fmt"
	"io"

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

// inspectStringMultipleRules inspects the provided text,
// avoiding matches specified in the exclusion list.
// this function implements the both exclusion and hot word rules.
func inspectStringMultipleRules(w io.Writer, projectID, textToInspect string) error {
	// projectID := "my-project-id"
	// textToInspect := "patient: Jane Doe"

	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()

	// Specify the type and content to be inspected.
	ContentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_ByteItem{
			ByteItem: &dlppb.ByteContentItem{
				Type: dlppb.ByteContentItem_TEXT_UTF8,
				Data: []byte(textToInspect),
			},
		},
	}

	// Construct the rule that adjust the likelihood of findings
	// within a certain proximity of hot-word("patient").
	patientRule := &dlppb.InspectionRule_HotwordRule{
		HotwordRule: &dlppb.CustomInfoType_DetectionRule_HotwordRule{
			HotwordRegex: &dlppb.CustomInfoType_Regex{
				Pattern: "patient",
			},
			Proximity: &dlppb.CustomInfoType_DetectionRule_Proximity{
				WindowBefore: 10,
			},
			LikelihoodAdjustment: &dlppb.CustomInfoType_DetectionRule_LikelihoodAdjustment{
				Adjustment: &dlppb.CustomInfoType_DetectionRule_LikelihoodAdjustment_FixedLikelihood{
					FixedLikelihood: dlppb.Likelihood_VERY_LIKELY,
				},
			},
		},
	}

	// Construct the rule that adjust the likelihood of findings
	// within a certain proximity of hot-word("doctor").
	doctorRule := &dlppb.InspectionRule_HotwordRule{
		HotwordRule: &dlppb.CustomInfoType_DetectionRule_HotwordRule{
			HotwordRegex: &dlppb.CustomInfoType_Regex{
				Pattern: "doctor",
			},
			Proximity: &dlppb.CustomInfoType_DetectionRule_Proximity{
				WindowBefore: 10,
			},
			LikelihoodAdjustment: &dlppb.CustomInfoType_DetectionRule_LikelihoodAdjustment{
				Adjustment: &dlppb.CustomInfoType_DetectionRule_LikelihoodAdjustment_FixedLikelihood{
					FixedLikelihood: dlppb.Likelihood_UNLIKELY,
				},
			},
		},
	}

	// Construct the exclusion rule that avoids the matches for the specified word list.
	quasimodoRule := &dlppb.ExclusionRule{
		Type: &dlppb.ExclusionRule_Dictionary{
			Dictionary: &dlppb.CustomInfoType_Dictionary{
				Source: &dlppb.CustomInfoType_Dictionary_WordList_{
					WordList: &dlppb.CustomInfoType_Dictionary_WordList{
						Words: []string{"Quasimodo"},
					},
				},
			},
		},
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_PARTIAL_MATCH,
	}

	// Construct the exclusion rule that avoids the matches for the specified regex pattern.
	redactedRule := &dlppb.ExclusionRule{
		Type: &dlppb.ExclusionRule_Regex{
			Regex: &dlppb.CustomInfoType_Regex{
				Pattern: "REDACTED",
			},
		},
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_PARTIAL_MATCH,
	}

	// Construct a ruleSet that applies the rules to the PERSON_NAME infoType.
	ruleSet := &dlppb.InspectionRuleSet{
		InfoTypes: []*dlppb.InfoType{
			{Name: "PERSON_NAME"},
		},
		Rules: []*dlppb.InspectionRule{
			{Type: &dlppb.InspectionRule_HotwordRule{HotwordRule: doctorRule.HotwordRule}},
			{Type: &dlppb.InspectionRule_HotwordRule{HotwordRule: patientRule.HotwordRule}},
			{Type: &dlppb.InspectionRule_ExclusionRule{ExclusionRule: quasimodoRule}},
			{Type: &dlppb.InspectionRule_ExclusionRule{ExclusionRule: redactedRule}},
		},
	}

	// Construct the configuration for the Inspect request, including the ruleSet.
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: []*dlppb.InfoType{
			{Name: "PERSON_NAME"},
		},
		IncludeQuote: true,
		RuleSet: []*dlppb.InspectionRuleSet{
			ruleSet,
		},
	}

	// Create and send the request.
	req := &dlppb.InspectContentRequest{
		Parent:        fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:          ContentItem,
		InspectConfig: inspectConfig,
	}

	// Send the request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
	for _, v := range resp.GetResult().Findings {
		fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
		fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
		fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
	}
	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.


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.CustomInfoType.DetectionRule.HotwordRule;
import com.google.privacy.dlp.v2.CustomInfoType.DetectionRule.LikelihoodAdjustment;
import com.google.privacy.dlp.v2.CustomInfoType.DetectionRule.Proximity;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary.WordList;
import com.google.privacy.dlp.v2.CustomInfoType.Regex;
import com.google.privacy.dlp.v2.ExclusionRule;
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.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.Likelihood;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class InspectStringMultipleRules {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect = "patient: Jane Doe";
    inspectStringMultipleRules(projectId, textToInspect);
  }

  // Inspects the provided text, avoiding matches specified in the exclusion list.
  public static void inspectStringMultipleRules(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();

      // Construct hotword rules
      HotwordRule patientRule =
          HotwordRule.newBuilder()
              .setHotwordRegex(Regex.newBuilder().setPattern("patient"))
              .setProximity(Proximity.newBuilder().setWindowBefore(10))
              .setLikelihoodAdjustment(
                  LikelihoodAdjustment.newBuilder().setFixedLikelihood(Likelihood.VERY_LIKELY))
              .build();

      HotwordRule doctorRule =
          HotwordRule.newBuilder()
              .setHotwordRegex(Regex.newBuilder().setPattern("doctor"))
              .setProximity(Proximity.newBuilder().setWindowBefore(10))
              .setLikelihoodAdjustment(
                  LikelihoodAdjustment.newBuilder().setFixedLikelihood(Likelihood.UNLIKELY))
              .build();

      // Construct exclusion rules
      ExclusionRule quasimodoRule =
          ExclusionRule.newBuilder()
              .setDictionary(
                  Dictionary.newBuilder().setWordList(WordList.newBuilder().addWords("Quasimodo")))
              .setMatchingType(MatchingType.MATCHING_TYPE_PARTIAL_MATCH)
              .build();

      ExclusionRule redactedRule =
          ExclusionRule.newBuilder()
              .setRegex(Regex.newBuilder().setPattern("REDACTED"))
              .setMatchingType(MatchingType.MATCHING_TYPE_PARTIAL_MATCH)
              .build();

      // Construct a ruleset that applies the rules to the PERSON_NAME infotype.
      InspectionRuleSet ruleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME"))
              .addRules(InspectionRule.newBuilder().setHotwordRule(patientRule))
              .addRules(InspectionRule.newBuilder().setHotwordRule(doctorRule))
              .addRules(InspectionRule.newBuilder().setExclusionRule(quasimodoRule))
              .addRules(InspectionRule.newBuilder().setExclusionRule(redactedRule))
              .build();

      // Construct the configuration for the Inspect request, including the ruleset.
      InspectConfig config =
          InspectConfig.newBuilder()
              .addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME"))
              .setIncludeQuote(true)
              .addRuleSet(ruleSet)
              .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.

// 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 = 'patient: Jane Doe';

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

  // Construct hotword rules
  const patientRule = {
    hotwordRegex: {pattern: 'patient'},
    proximity: {windowBefore: 10},
    likelihoodAdjustment: {
      fixedLikelihood:
        DLP.protos.google.privacy.dlp.v2.Likelihood.VERY_LIKELY,
    },
  };

  const doctorRule = {
    hotwordRegex: {pattern: 'doctor'},
    proximity: {windowBefore: 10},
    likelihoodAdjustment: {
      fixedLikelihood: DLP.protos.google.privacy.dlp.v2.Likelihood.UNLIKELY,
    },
  };

  // Construct exclusion rules
  const quasimodoRule = {
    dictionary: {wordList: {words: ['quasimodo']}},
    matchingType:
      DLP.protos.google.privacy.dlp.v2.MatchingType
        .MATCHING_TYPE_PARTIAL_MATCH,
  };

  const redactedRule = {
    regex: {pattern: 'REDACTED'},
    matchingType:
      DLP.protos.google.privacy.dlp.v2.MatchingType
        .MATCHING_TYPE_PARTIAL_MATCH,
  };

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

  // Construct a ruleset that applies the rules to the PERSON_NAME infotype.
  const ruleSet = [
    {
      infoTypes: infoTypes,
      rules: [
        {hotwordRule: patientRule},
        {hotwordRule: doctorRule},
        {exclusionRule: quasimodoRule},
        {exclusionRule: redactedRule},
      ],
    },
  ];

  // Construct the configuration for the Inspect request, including the ruleset.
  const inspectConfig = {
    infoTypes: infoTypes,
    ruleSet: ruleSet,
    includeQuote: true,
  };

  // Construct the Inspect request to be sent by the client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Use the client to send the API request.
  const [response] = await dlp.inspectContent(request);

  // Print findings.
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringMultipleRules();

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.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType\DetectionRule\HotwordRule;
use Google\Cloud\Dlp\V2\CustomInfoType\DetectionRule\LikelihoodAdjustment;
use Google\Cloud\Dlp\V2\CustomInfoType\DetectionRule\Proximity;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary\WordList;
use Google\Cloud\Dlp\V2\CustomInfoType\Regex;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;

/**
 * Inspect a string for sensitive data by using multiple rules
 * Illustrates applying both exclusion and hotword rules. This snippet's rule set includes both hotword rules and dictionary and regex exclusion rules. Notice that the four rules are specified in an array within the rules element.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 */
function inspect_string_multiple_rules(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'patient: Jane Doe'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Construct hotword rules
    $patientRule = (new HotwordRule())
        ->setHotwordRegex((new Regex())
            ->setPattern('patient'))
        ->setProximity((new Proximity())
            ->setWindowBefore(10))
        ->setLikelihoodAdjustment((new LikelihoodAdjustment())
            ->setFixedLikelihood(Likelihood::VERY_LIKELY));

    $doctorRule = (new HotwordRule())
        ->setHotwordRegex((new Regex())
            ->setPattern('doctor'))
        ->setProximity((new Proximity())
            ->setWindowBefore(10))
        ->setLikelihoodAdjustment((new LikelihoodAdjustment())
            ->setFixedLikelihood(Likelihood::VERY_UNLIKELY));

    // Construct exclusion rules
    $wordList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords(['Quasimodo']));

    $quasimodoRule = (new ExclusionRule())
        ->setMatchingType(MatchingType::MATCHING_TYPE_PARTIAL_MATCH)
        ->setDictionary($wordList);

    $redactedRule = (new ExclusionRule())
        ->setMatchingType(MatchingType::MATCHING_TYPE_PARTIAL_MATCH)
        ->setRegex((new Regex())
            ->setPattern('REDACTED'));

    // Specify the exclusion rule and build-in info type the inspection will look for.
    $personName = (new InfoType())
        ->setName('PERSON_NAME');
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([$personName])
        ->setRules([
            (new InspectionRule())
                ->setHotwordRule($patientRule),
            (new InspectionRule())
                ->setHotwordRule($doctorRule),
            (new InspectionRule())
                ->setExclusionRule($quasimodoRule),
            (new InspectionRule())
                ->setExclusionRule($redactedRule),
        ]);

    // Construct the configuration for the Inspect request, including the ruleset.
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$personName])
        ->setIncludeQuote(true)
        ->setRuleSet([$inspectionRuleSet]);

    // 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) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf('  Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
        }
    }
}

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.

import google.cloud.dlp


def inspect_string_multiple_rules(project: str, content_string: str) -> None:
    """Uses the Data Loss Prevention API to modify likelihood for matches on
       PERSON_NAME combining multiple hotword and exclusion rules.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.

    Returns:
        None; the response from the API is printed to the terminal.
    """

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

    # Construct hotword rules
    patient_rule = {
        "hotword_regex": {"pattern": "patient"},
        "proximity": {"window_before": 10},
        "likelihood_adjustment": {
            "fixed_likelihood": google.cloud.dlp_v2.Likelihood.VERY_LIKELY
        },
    }
    doctor_rule = {
        "hotword_regex": {"pattern": "doctor"},
        "proximity": {"window_before": 10},
        "likelihood_adjustment": {
            "fixed_likelihood": google.cloud.dlp_v2.Likelihood.UNLIKELY
        },
    }

    # Construct exclusion rules
    quasimodo_rule = {
        "dictionary": {"word_list": {"words": ["quasimodo"]}},
        "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_PARTIAL_MATCH,
    }
    redacted_rule = {
        "regex": {"pattern": "REDACTED"},
        "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_PARTIAL_MATCH,
    }

    # Construct the rule set, combining the above rules
    rule_set = [
        {
            "info_types": [{"name": "PERSON_NAME"}],
            "rules": [
                {"hotword_rule": patient_rule},
                {"hotword_rule": doctor_rule},
                {"exclusion_rule": quasimodo_rule},
                {"exclusion_rule": redacted_rule},
            ],
        }
    ]

    # Construct the configuration dictionary
    inspect_config = {
        "info_types": [{"name": "PERSON_NAME"}],
        "rule_set": rule_set,
        "include_quote": True,
    }

    # 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:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood}")
    else:
        print("No findings.")

REST

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

...
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"PERSON_NAME"
      }
    ],
    "ruleSet":[
      {
        "infoTypes":[
          {
            "name":"PERSON_NAME"
          }
        ],
        "rules":[
          {
            "hotwordRule":{
              "hotwordRegex":{
                "pattern":"patient"
              },
              "proximity":{
                "windowBefore":10
              },
              "likelihoodAdjustment":{
                "fixedLikelihood":"VERY_LIKELY"
              }
            }
          },
          {
            "hotwordRule":{
              "hotwordRegex":{
                "pattern":"doctor"
              },
              "proximity":{
                "windowBefore":10
              },
              "likelihoodAdjustment":{
                "fixedLikelihood":"UNLIKELY"
              }
            }
          },
          {
            "exclusionRule":{
              "dictionary":{
                "wordList":{
                  "words":[
                    "Quasimodo"
                  ]
                }
              },
              "matchingType": "MATCHING_TYPE_PARTIAL_MATCH"
            }
          },
          {
            "exclusionRule":{
              "regex":{
                "pattern":"REDACTED"
              },
              "matchingType": "MATCHING_TYPE_PARTIAL_MATCH"
            }
          }
        ]
      }
    ]
  }
...

Chevauchement de détecteurs d'infoTypes

Il est possible de définir un détecteur d'infoType personnalisé qui porte le même nom qu'un détecteur d'infoType intégré. Comme illustré dans l'exemple de la section Exemples de scénarios concernant les règles relatives aux mots clés, lorsque vous créez un détecteur d'infoType personnalisé portant le même nom qu'un infoType intégré, toutes les correspondances identifiées par le nouveau détecteur d'infoType sont ajoutées à celles identifiées par le détecteur intégré. Cela nécessite toutefois que l'infoType intégré soit spécifié dans la liste des infoTypes de l'objet InspectConfig.

Lorsque vous créez des détecteurs d'infoTypes personnalisés, testez-les minutieusement avec du contenu d'exemple pour vous assurer qu'ils fonctionnent comme prévu.