O Cloud Data Loss Prevention (Cloud DLP) agora faz parte da Proteção de dados sensíveis. O nome da API continua o mesmo: API Cloud Data Loss Prevention (API DLP). Para saber mais sobre os serviços que compõem a Proteção de dados sensíveis, consulte a Visão geral da Proteção de dados sensíveis.

Esta página foi traduzida pela API Cloud Translation.

Como modificar os detectores de InfoType para refinar os resultados da verificação

Os detectores de infoType integrados da Proteção de dados sensíveis são eficientes para encontrar tipos comuns de dados confidenciais. Os detectores de infoType personalizados permitem que você personalize totalmente seu próprio detector de dados confidenciais. As regras de inspeção ajudam a refinar os resultados da verificação que a Proteção de dados sensíveis retorna ao modificar o mecanismo de detecção de um determinado detector de infoType.

Se você quiser excluir ou incluir mais valores dos resultados que são retornados por um detector de infoType integrado, crie um novo infoType personalizado do zero e defina todos os critérios que a Proteção de dados sensíveis precisa seguir. Como alternativa, é possível refinar as descobertas que os detectores integrados ou personalizados da Proteção de dados sensíveis retornam de acordo com os critérios que você especificar. Basta adicionar regras de inspeção que ajudem a reduzir o ruído, aumentar a precisão e o recall ou ajustar a certeza de probabilidade das descobertas da verificação.

Neste tópico, discutimos como usar os dois tipos de regras de inspeção para excluir determinadas descobertas ou adicionar outras descobertas, tudo de acordo com os critérios personalizados que você especificar. Neste tópico, apresentamos vários cenários em que você talvez queira alterar um detector de infoType existente.

Veja a seguir os dois tipos de regras de inspeção:

Regras de exclusão, que ajudam a excluir descobertas falsas ou indesejadas.
Regras de hotword, que ajudam a detectar mais descobertas.

Regras de exclusão

Veja a seguir algumas situações em que as regras de exclusão são úteis:

Você quer excluir correspondências de verificação duplicadas em resultados causados por detectores de infoType sobrepostos. Por exemplo, você está verificando endereços de e-mail e números de telefone, mas está recebendo dois hits de endereços de e-mail com números, como "206-555-0764@example.org".
Os resultados da verificação apresentam ruídos. Por exemplo, você está vendo o mesmo endereço de e-mail fictício (como "example@example.com") ou domínio (como "example.com") retornado um número excessivo de vezes por uma verificação de endereços de e-mail legítimos.
Você tem uma lista de termos, frases ou combinação de caracteres que quer excluir dos resultados.
Você quer excluir uma coluna inteira de dados dos resultados.
Você quer excluir descobertas que estão perto de uma string que corresponde a uma expressão regular.

Visão geral da API de regras de exclusão

A Proteção de dados sensíveis define uma regra de exclusão no objeto ExclusionRule. Em ExclusionRule, especifique uma das seguintes opções:

Um objeto Dictionary, que contém uma lista de strings a serem excluídas dos resultados.
Um objeto Regex, que define um padrão de expressão regular. As strings que correspondem ao padrão são excluídas dos resultados.
Um objeto ExcludeInfoTypes, que contém uma matriz de detectores de infoType. Se uma descoberta for correspondida por um dos detectores de infoType listados aqui, ela será excluída dos resultados.
Um objeto ExcludeByHotword, que contém o seguinte:
- Uma expressão regular que define o hotword.
- Um valor de proximidade que define a proximidade do termo de ativação em relação à encontrada.
Se a descoberta estiver dentro da proximidade definida, ela será excluída dos resultados. Para tabelas, esse tipo de regra de exclusão permite excluir uma coluna inteira de dados dos resultados.

Cenários de exemplo de regra de exclusão

Cada um dos snippets JSON a seguir ilustra como configurar a Proteção de dados sensíveis para o cenário apresentado.

Omitir endereço de e-mail específico da verificação do detector EMAIL_ADDRESS

O snippet e o código JSON a seguir em várias linguagens ilustram como indicar à Proteção de dados sensíveis usando um InspectConfig que precisa evitar a correspondência em "example@example.com" em uma verificação que usa o detector de infoType EMAIL_ADDRESS:

C#

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

Para autenticar na Proteção de dados sensíveis, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

// 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Consulte o Início rápido do JSON para ver mais informações sobre o uso da API DLP com o JSON.

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

Omitir endereços de e-mail que terminem com um domínio específico da verificação do detector EMAIL_ADDRESS

O snippet e o código JSON a seguir em várias linguagens ilustram como indicar à Proteção de dados sensíveis usando um InspectConfig que precisa evitar a correspondência em qualquer endereço de e-mail que termine com "@example.com" em uma verificação que usa o detector de infoType EMAIL_ADDRESS:

C#

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

// 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Consulte o Início rápido do JSON para ver mais informações sobre o uso da API DLP com o JSON.

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

Omita correspondências de verificação que incluam a substring "TEST"

O snippet e o código JSON a seguir em várias linguagens ilustram como indicar à Proteção de dados sensíveis usando um InspectConfig que ele precisa excluir todas as descobertas que incluam o token "TEST" da lista especificada de infoTypes:

Ela corresponde a "TEST" como um token, não a uma substring. Portanto, embora algo como "TEST@email.com" corresponda, o mesmo não se aplica a "TESTER@email.com". Se você quiser a correspondência em uma substring, use uma regex na regra de exclusão em vez de um dicionário.

C#

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

// 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Consulte o Início rápido do JSON para ver mais informações sobre o uso da API DLP com o 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"
              }
            }
          ]
        }
      ]
    }
...

Omita correspondências de verificação que incluam a substring "Jimmy" de uma verificação personalizada do detector de infoType

O snippet e o código JSON a seguir em várias linguagens ilustram como indicar à Proteção de dados sensíveis usando um InspectConfig que evite a correspondência do nome "Jimmy" em uma verificação que usa o detector de regex personalizado especificado:

C#

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

// 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Consulte o Início rápido do JSON para ver mais informações sobre o uso da API DLP com o 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"
              }
            }
          ]
        }
      ]
    }
...

Omitir correspondências de verificação do detector PERSON_NAME que se sobreponham a um detector personalizado

Neste cenário, o usuário não quer que seja retornada uma correspondência de uma verificação da Proteção de Dados Sensíveis com o detector integrado PERSON_NAME se ela também existir em uma verificação com o detector de regex personalizado definido na primeira parte do snippet.

O snippet e o código JSON a seguir em várias linguagens especificam um detector de regex personalizado e uma regra de exclusão no InspectConfig. O detector de regex personalizado especifica os nomes que serão excluídos dos resultados. A regra de exclusão especifica que, se algum resultado retornado de uma verificação de PERSON_NAME também tiver correspondência pelo detector de regex personalizado, ele será omitido. Neste caso, VIP_DETECTOR está marcado como EXCLUSION_TYPE_EXCLUDE, portanto, ele não produzirá resultados sozinho. Ele apenas afetará os resultados produzidos pelo detector PERSON_NAME.

C#

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

// 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Consulte o Início rápido do JSON para ver mais informações sobre o uso da API DLP com o 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"
              }
            }
          ]
        }
      ]
    }
...

Omitir correspondências no detector PERSON_NAME se também houver correspondência no detector EMAIL_ADDRESS

O snippet e o código JSON a seguir em várias linguagens ilustram como indicar à Proteção de dados sensíveis usando um InspectConfig que ele só deve retornar uma correspondência no caso correspondente à sobreposição do detector PERSON_NAME com correspondências para o detector EMAIL_ADDRESS. Isso evita que um endereço de e-mail, como "james@example.com", seja encontrado nos detectores PERSON_NAME e EMAIL_ADDRESS.

C#

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

// 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Consulte o Início rápido do JSON para ver mais informações sobre o uso da API DLP com o 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"
              }
            }
          ]
        }
      ]
    }
...

Omitir correspondências em nomes de domínio que fazem parte de endereços de e-mail em uma verificação de detector DOMAIN_NAME

O snippet e o código JSON a seguir em várias linguagens ilustram como indicar à Proteção de dados sensíveis usando um InspectConfig que ele só deve retornar correspondências para uma verificação de detector DOMAIN_NAME se a correspondência não se sobrepuser a uma correspondência em uma verificação de detector EMAIL_ADDRESS. Nesse cenário, a verificação principal é a do detector DOMAIN_NAME. O usuário não quer que uma correspondência de nome de domínio seja retornada nas descobertas se o nome de domínio for usado em um endereço de e-mail:

C#

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

// 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Consulte o Início rápido do JSON para ver mais informações sobre o uso da API DLP com o 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"
              }
            }
          ]
        }
      ]
    }
...

Omitir correspondências se elas estiverem localizadas perto de uma string

O exemplo a seguir ilustra como excluir correspondências no detector de infoType US_SOCIAL_SECURITY_NUMBER se a palavra "SKU" estiver a 10 caracteres antes ou depois da descoberta.

Devido à regra de exclusão, este exemplo não classifica 222-22-2222 como um possível CPF ou CNPJ.

{
  "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
  }
}

Omitir descobertas em uma coluna inteira de dados

O exemplo a seguir ilustra como excluir resultados em uma coluna inteira de dados tabulares se o nome dessa coluna corresponder a uma expressão regular. Aqui, qualquer encontrado que corresponda ao detector de infoType US_SOCIAL_SECURITY_NUMBER é excluído dos resultados se estiver na coluna Fake Social Security Number.

Este exemplo retorna apenas 222-22-2222, porque 111-11-1111 está na coluna Número de CPF falso.

{
  "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"
  }
}

Regras de hotword

As regras de hotword são úteis nas seguintes situações:

Você quer alterar os valores de probabilidade atribuídos para verificar correspondências com base na proximidade da correspondência com uma hotword. Por exemplo, você quer definir o valor de probabilidade maior para correspondências em nomes de pacientes, dependendo da proximidade dos nomes com a palavra "paciente".
Ao inspecionar dados tabulares estruturados, você quer alterar os valores de probabilidade atribuídos a correspondências com base em um nome de cabeçalho de coluna. Por exemplo, você quer definir o valor de probabilidade mais alto para US_SOCIAL_SECURITY_NUMBER quando encontrado em uma coluna com cabeçalho ACCOUNT_ID.

Visão geral da API de regras de hotword

No objeto InspectionRule da Proteção de dados confidenciais, especifique um objeto HotwordRule, que ajusta a probabilidade de descobertas dentro de uma certa proximidade de hotwords.

Os objetos InspectionRule são agrupados como um "conjunto de regras" em um objeto InspectionRuleSet, junto com uma lista de detectores de infoType aos quais o conjunto de regras se aplica. As regras em um conjunto de regras são aplicadas na ordem especificada.

Cenários de exemplo de regra de hotword

O snippet de código a seguir ilustra como configurar a Proteção de dados sensíveis para o cenário apresentado.

Aumente a probabilidade de uma correspondência de PERSON_NAME se houver a hotword "paciente" nas proximidades

O snippet e o código JSON a seguir em várias linguagens ilustram o uso da propriedade InspectConfig com o objetivo de verificar nomes de pacientes em um banco de dados médico. É possível usar o detector de infoType PERSON_NAME integrado da proteção de dados sensíveis, mas isso fará com que a proteção de dados sensíveis corresponda a todos os nomes de pessoas, não apenas aos nomes de pacientes. Para corrigir isso, é possível incluir uma regra de hotword que procure a palavra “paciente” dentro de uma determinada proximidade de caractere a partir do primeiro caractere de possíveis correspondências. Em seguida, é possível atribuir a descobertas correspondentes a esse padrão uma probabilidade de "muito provável", já que elas correspondem aos seus critérios especiais. Definir o mínimo de Likelihood como VERY_LIKELY em InspectConfig garante que apenas correspondências com essa configuração sejam retornadas nas descobertas.

C#

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

// 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Consulte o Início rápido do JSON para ver mais informações sobre o uso da API DLP com o 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"
  }
...

Para informações mais detalhadas sobre hotwords, consulte Como personalizar a probabilidade de correspondência.

Cenário com várias regras de inspeção

O snippet e o código JSON InspectConfig a seguir em várias linguagens ilustram a aplicação de regras de exclusão e de hotword. O conjunto de regras desse snippet inclui as regras de hotword e de exclusão de dicionário e regex. Observe que as quatro regras são especificadas em uma matriz dentro do elemento rules.

C#

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.


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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

// 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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Para saber como instalar e usar a biblioteca de cliente para a Proteção de dados sensíveis, consulte Bibliotecas de cliente para a Proteção de dados sensíveis.

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

Consulte o Início rápido do JSON para ver mais informações sobre o uso da API DLP com o 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"
            }
          }
        ]
      }
    ]
  }
...

Detectores de infoType sobrepostos

É possível definir um detector de infoType personalizado com o mesmo nome de um integrado. Conforme mostrado no exemplo da seção Cenários de exemplo de regra de hotword, quando você cria um detector de infoType personalizado com o mesmo nome de um infoType integrado, todas as descobertas detectadas pelo novo detector de infoType são adicionadas àquelas do detector integrado. Isso só é válido enquanto o infoType integrado estiver especificado na lista de infoTypes no objeto InspectConfig.

Ao criar novos detectores de infoType personalizados, teste-os detalhadamente em conteúdos de exemplo para garantir que funcionem conforme esperado.