Membuat pendeteksi kamus kustom reguler

Kamus kustom memberikan kemampuan yang sederhana, tetapi efektif untuk mencocokkan daftar kata atau frasa. Anda dapat menggunakan kamus kustom sebagai pendeteksi atau sebagai daftar pengecualian untuk pendeteksi bawaan. Anda juga dapat menggunakan kamus kustom untuk menambah pendeteksi infoType bawaan agar cocok dengan temuan tambahan.

Bagian ini menjelaskan cara membuat pendeteksi kamus kustom reguler dari daftar kata.

Catatan: Jika Anda memiliki daftar yang berisi ratusan hingga puluhan juta kata yang ingin dipindai, pertimbangkan untuk menggunakan pendeteksi kamus kustom besar, bukan pendeteksi kamus kustom reguler yang dijelaskan dalam topik ini. Untuk mengetahui informasi selengkapnya, lihat Membuat pendeteksi kamus kustom besar.

Anatomi detektor infoType kustom kamus

Seperti yang diringkas dalam Ringkasan API, untuk membuat detektor infoType kustom kamus, Anda menentukan objek CustomInfoType yang berisi hal berikut:

• Nama yang ingin Anda berikan ke detektor infoType kustom, dalam objek InfoType.
• Nilai Likelihood opsional. Jika Anda menghapus kolom ini, kecocokan dengan item kamus akan menampilkan kemungkinan default VERY_LIKELY.
• Objek DetectionRule opsional, atau aturan frasa pengaktif. Aturan ini menyesuaikan kemungkinan temuan dalam kedekatan tertentu dari hotword yang ditentukan. Pelajari lebih lanjut aturan frasa pengaktif di Menyesuaikan kemungkinan kecocokan.

• Nilai SensitivityScore opsional. Jika Anda menghapus kolom ini, kecocokan dengan item kamus akan menampilkan tingkat sensitivitas default HIGH.

  Skor sensitivitas digunakan dalam profil data. Saat membuat profil data Anda, Sensitive Data Protection menggunakan skor sensitivitas infoType untuk menghitung tingkat sensitivitas.

• Dictionary, sebagai WordList yang berisi daftar kata yang akan dipindai atau CloudStoragePath ke satu file teks yang berisi daftar kata yang dipisahkan baris baru untuk dipindai.

Sebagai objek JSON, detektor infoType kustom kamus yang menyertakan semua komponen opsional akan terlihat seperti berikut. JSON ini menyertakan jalur ke file teks kamus yang disimpan di Cloud Storage. Untuk melihat daftar kata inline, lihat bagian Contoh, nanti dalam topik ini.

{
  "customInfoTypes":[
    {
      "infoType":{
        "name":"CUSTOM_INFOTYPE_NAME"
      },
      "likelihood":"LIKELIHOOD_LEVEL",
      "detectionRules":[
        {
          "hotwordRule":{
            HOTWORD_RULE
          }
        },
        ...
      ],
      "sensitivityScore":{
          "score": "SENSITIVITY_SCORE"
        },
      "dictionary":
      {
        "cloudStoragePath":
        {
          "path": "gs://PATH_TO_TXT_FILE"
        }
      }
    }
  ],
  ...
}

Catatan: Anda juga dapat membuat pendeteksi kamus kustom reguler dengan mereferensikan StoredInfoType yang ada di kolom storedType dari objek CustomInfoType, bukan menentukan kolom dictionary. Namun, pendekatan ini mengharuskan Anda membuat StoredInfoType jenis Dictionary terlebih dahulu. Pada umumnya, lebih mudah untuk menentukan objek Dictionary secara langsung di kolom dictionary pada objek CustomInfoType.

Spesifikasi pencocokan kamus

Berikut adalah panduan tentang cara Sensitive Data Protection mencocokkan kata dan frasa kamus. Poin-poin ini berlaku untuk kamus kustom reguler dan besar:

• Kata kamus tidak peka huruf besar/kecil. Jika kamus Anda menyertakan Abby, kamus tersebut akan cocok dengan abby, ABBY, Abby, dan seterusnya.
• Semua karakter—dalam kamus atau dalam konten yang akan dipindai—selain huruf, angka, dan karakter alfabet lainnya yang terdapat dalam Basic Multilingual Plane Unicode dianggap sebagai spasi kosong saat memindai kecocokan. Jika kamus Anda memindai Abby Abernathy, kamus akan cocok dengan abby abernathy, Abby, Abernathy, Abby (ABERNATHY), dan seterusnya.
• Karakter di sekitar kecocokan harus memiliki jenis yang berbeda (huruf atau angka) dari karakter yang berdekatan dalam kata. Jika kamus Anda memindai Abi, kamus tersebut akan cocok dengan tiga karakter pertama Abi904, tetapi tidak dengan Abigail.
• Kata kamus yang berisi karakter dalam Supplementary Multilingual Plane standar Unicode dapat menghasilkan temuan yang tidak terduga. Contoh karakter tersebut adalah emoji, simbol ilmiah, dan aksara sejarah.

Huruf, angka, dan karakter alfabet lainnya ditentukan sebagai berikut:

• Huruf: karakter dengan kategori umum Lu, Ll, Lt, Lm, atau Lo dalam spesifikasi Unicode
• Digit: karakter dengan kategori umum Nd dalam spesifikasi Unicode
• Karakter alfabet lainnya: karakter dengan kategori umum Nl dalam spesifikasi Unicode atau dengan properti kontributif Other_Alphabetic seperti yang ditentukan oleh Unicode Standard

Contoh

Daftar kata sederhana

Misalnya, Anda memiliki data yang mencakup ruang rumah sakit tempat pasien dirawat selama kunjungan. Lokasi ini dapat dianggap sensitif dalam set data tertentu, tetapi tidak akan terdeteksi oleh detektor bawaan Sensitive Data Protection.

Ruang tersebut tercantum sebagai:

• "RM-Orange"
• "RM-Yellow"
• "RM-Green"

C#

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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

public class DeidentifyWithSimpleWordList
{
    public static DeidentifyContentResponse Deidentify(string projectId, string text)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        var contentItem = new ContentItem { Value = text };

        var wordList = new CustomInfoType.Types.Dictionary.Types.WordList
        {
            Words = { new string[] { "RM-GREEN", "RM-YELLOW", "RM-ORANGE" } }
        };

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

        var customInfoType = new CustomInfoType
        {
            InfoType = infoType,
            Dictionary = new CustomInfoType.Types.Dictionary
            {
                WordList = wordList
            }
        };

        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                customInfoType,
            }
        };
        var primitiveTransformation = new PrimitiveTransformation
        {
            ReplaceWithInfoTypeConfig = new ReplaceWithInfoTypeConfig { }
        };

        var transformation = new InfoTypeTransformations.Types.InfoTypeTransformation
        {
            InfoTypes = { infoType },
            PrimitiveTransformation = primitiveTransformation
        };

        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations = { transformation }
            }
        };

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

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Inspect the results.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import (
	"context"
	"fmt"
	"io"

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

// deidentifyWithWordList matches against a custom simple word list to de-identify sensitive
// data based on the input
func deidentifyWithWordList(w io.Writer, projectID, input string, infoTypeName string, wordList []string) error {
	// projectID := "my-project-id"
	// input := "Patient was seen in RM-YELLOW then transferred to rm green."
	// wordList := []string{"RM-GREEN", "RM-YELLOW", "RM-ORANGE"}

	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 what content you want the service to DeIdentify.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: input,
		},
	}

	// Specify the word list custom info type the inspection will look for.
	infoType := &dlppb.InfoType{
		Name: infoTypeName,
	}

	var customInfoType = &dlppb.CustomInfoType{
		InfoType: infoType,
		Type: &dlppb.CustomInfoType_Dictionary_{
			Dictionary: &dlppb.CustomInfoType_Dictionary{
				Source: &dlppb.CustomInfoType_Dictionary_WordList_{
					// Construct the word list to be detected
					WordList: &dlppb.CustomInfoType_Dictionary_WordList{
						Words: wordList,
					},
				},
			},
		},
	}

	// Define type of de-identification as replacement.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_ReplaceWithInfoTypeConfig{
			ReplaceWithInfoTypeConfig: &dlppb.ReplaceWithInfoTypeConfig{},
		},
	}

	infoTypeTransformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes:               []*dlppb.InfoType{infoType},
		PrimitiveTransformation: primitiveTransformation,
	}

	infoTypeTransformations := &dlppb.InfoTypeTransformations{
		// Associate de-identification type with info type.
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			infoTypeTransformation,
		},
	}

	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: &dlppb.InspectConfig{
			CustomInfoTypes: []*dlppb.CustomInfoType{
				customInfoType,
			},
		},
		// Construct the configuration for the de-identify request and list all desired transformations.
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: infoTypeTransformations,
			},
		},
		// The item to analyze.
		Item: item,
	}

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

	// Print the result.
	fmt.Fprintf(w, "output : %v", resp.GetItem().GetValue())
	return nil
}

Java

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import com.google.cloud.dlp.v2.DlpServiceClient;
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.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReplaceWithInfoTypeConfig;
import java.io.IOException;

public class DeIdentifyWithSimpleWordList {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "Patient was seen in RM-YELLOW then transferred to rm green.";
    deidentifyWithSimpleWordList(projectId, textToDeIdentify);
  }

  public static void deidentifyWithSimpleWordList(String projectId, String textToDeIdentify)
      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 what content you want the service to DeIdentify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Construct the word list to be detected
      Dictionary wordList =
          Dictionary.newBuilder()
              .setWordList(
                  WordList.newBuilder()
                      .addWords("RM-GREEN")
                      .addWords("RM-YELLOW")
                      .addWords("RM-ORANGE")
                      .build())
              .build();

      // Specify the word list custom info type the inspection will look for.
      InfoType infoType = InfoType.newBuilder().setName("CUSTOM_ROOM_ID").build();
      CustomInfoType customInfoType =
          CustomInfoType.newBuilder().setInfoType(infoType).setDictionary(wordList).build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Define type of deidentification as replacement.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setReplaceWithInfoTypeConfig(ReplaceWithInfoTypeConfig.getDefaultInstance())
              .build();

      // Associate deidentification type with info type.
      InfoTypeTransformation transformation =
          InfoTypeTransformation.newBuilder()
              .addInfoTypes(infoType)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      // Construct the configuration for the Redact request and list all desired transformations.
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results
      System.out.println(
          "Text after replace with infotype config: " + response.getItem().getValue());
    }
  }
}

Node.js

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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

// TODO(developer): Replace these variables before running the sample.
// const projectId = "your-project-id";

// The string to de-identify
// const textToInspect = 'Patient was seen in RM-YELLOW then transferred to rm green.';

// Words to look for during inspection
// const words = ['RM-GREEN', 'RM-YELLOW', 'RM-ORANGE'];

// Name of the custom info type
// const customInfoTypeName = 'CUSTOM_ROOM_ID';

async function deIdentifyWithSimpleWordList() {
  // 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.
  const dlp = new DLP.DlpServiceClient();

  // Construct the word list to be detected
  const wordList = {
    words: words,
  };

  // Specify the word list custom info type the inspection will look for.
  const infoType = {
    name: customInfoTypeName,
  };
  const customInfoType = {
    infoType,
    dictionary: {
      wordList,
    },
  };

  // Construct de-identify configuration
  const deidentifyConfig = {
    infoTypeTransformations: {
      transformations: [
        {
          primitiveTransformation: {
            replaceWithInfoTypeConfig: {},
          },
        },
      ],
    },
  };

  // Construct inspect configuration
  const inspectConfig = {
    customInfoTypes: [customInfoType],
  };

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

  // Send the request and receive response from the service
  const [response] = await dlp.deidentifyContent(request);
  // Print the results
  console.log(
    `Text after replace with infotype config: ${response.item.value}`
  );
}

deIdentifyWithSimpleWordList();

PHP

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReplaceWithInfoTypeConfig;

/**
 * De-identify sensitive data with a simple word list
 * Matches against a custom simple word list to de-identify sensitive data.
 *
 * @param string $callingProjectId  The Google Cloud project id to use as a parent resource.
 * @param string $string            The string to deidentify (will be treated as text).
 */

function deidentify_simple_word_list(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string = 'Patient was seen in RM-YELLOW then transferred to rm green.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

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

    // Construct the word list to be detected
    $wordList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords(['RM-GREEN', 'RM-YELLOW', 'RM-ORANGE']));

    // The infoTypes of information to mask
    $custoMRoomIdinfoType = (new InfoType())
        ->setName('CUSTOM_ROOM_ID');
    $customInfoType = (new CustomInfoType())
        ->setInfoType($custoMRoomIdinfoType)
        ->setDictionary($wordList);

    // Create the configuration object
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setReplaceWithInfoTypeConfig(new ReplaceWithInfoTypeConfig());

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes([$custoMRoomIdinfoType]);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the deidentification configuration object
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content)
        ->setInspectConfig($inspectConfig);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    printf('Deidentified content: %s', $response->getItem()->getValue());
}

Python

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import google.cloud.dlp


def deidentify_with_simple_word_list(
    project: str,
    input_str: str,
    custom_info_type_name: str,
    word_list: list[str],
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
      string by matching against custom word list.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        custom_info_type_name: The name of the custom info type to use.
        word_list: The list of strings to match against.
    """

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

    # Prepare custom_info_types by parsing word lists
    word_list = {"words": word_list}
    custom_info_types = [
        {
            "info_type": {"name": custom_info_type_name},
            "dictionary": {"word_list": word_list},
        }
    ]

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

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {"primitive_transformation": {"replace_with_info_type_config": {}}}
            ]
        }
    }

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

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

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    print(f"De-identified Content: {response.item.value}")

REST

Contoh JSON berikut menentukan kamus kustom yang dapat Anda gunakan untuk melakukan de-identifikasi nomor kamar kustom.

Input JSON:

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

{
  "item":{
    "value":"Patient was seen in RM-YELLOW then transferred to rm green."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "primitiveTransformation":{
            "replaceWithInfoTypeConfig":{

            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "customInfoTypes":[
      {
        "infoType":{
          "name":"CUSTOM_ROOM_ID"
        },
        "dictionary":{
          "wordList":{
            "words":[
              "RM-GREEN",
              "RM-YELLOW",
              "RM-ORANGE"
            ]
          }
        }
      }
    ]
  }
}

Output JSON:

Saat kita mem-POST input JSON ke content:deidentify, input tersebut akan menampilkan respons JSON berikut:

{
  "item":{
    "value":"Patient was seen in [CUSTOM_ROOM_ID] then transferred to [CUSTOM_ROOM_ID]."
  },
  "overview":{
    "transformedBytes":"17",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"CUSTOM_ROOM_ID"
        },
        "transformation":{
          "replaceWithInfoTypeConfig":{

          }
        },
        "results":[
          {
            "count":"2",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"17"
      }
    ]
  }
}

Sensitive Data Protection telah mengidentifikasi nomor kamar dengan benar yang ditentukan dalam pesan WordList kamus kustom. Perhatikan bahwa item bahkan dicocokkan saat huruf besar/kecil dan tanda hubung (-) tidak ada, seperti pada contoh kedua, "rm green".

Daftar pengecualian

Misalnya, Anda memiliki data log yang menyertakan ID pelanggan seperti alamat email, dan Anda ingin menyamarkan informasi ini. Namun, log ini juga menyertakan alamat email developer internal, dan Anda tidak ingin menyamarkan alamat email tersebut.

C#

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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

public class DeidentifyWithExceptionList
{
    public static DeidentifyContentResponse Deidentify(string projectId, string text)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        var contentItem = new ContentItem { Value = text };

        var wordList = new CustomInfoType.Types.Dictionary.Types.WordList
        {
            Words = { new string[] { "[e-mail]", "[e-mail]" } }
        };

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

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

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

        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoType },
            RuleSet = { inspectionRuleSet }
        };
        var primitiveTransformation = new PrimitiveTransformation
        {
            ReplaceWithInfoTypeConfig = new ReplaceWithInfoTypeConfig { }
        };

        var transformation = new InfoTypeTransformations.Types.InfoTypeTransformation
        {
            InfoTypes = { infoType },
            PrimitiveTransformation = primitiveTransformation
        };

        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations = { transformation }
            }
        };

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

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Inspect the results.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import (
	"context"
	"fmt"
	"io"

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

// deidentifyExceptionList creates an exception list for a regular custom dictionary detector.
func deidentifyExceptionList(w io.Writer, projectID, input string) error {
	// projectID := "my-project-id"
	// input := "[e-mail] accessed customer record of [e-mail]"

	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 fmt.Errorf("dlp.NewClient: %w", err)
	}

	// Closing the client safely cleans up background resousrces.
	defer client.Close()

	// Specify what content you want the service to DeIdentify.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: input,
		},
	}

	// Specify the word list custom info type and build-in info type the inspection will look for.
	infoTypes := []*dlppb.InfoType{
		{Name: "EMAIL_ADDRESS"},
	}

	dictionary := &dlppb.CustomInfoType_Dictionary{
		Source: &dlppb.CustomInfoType_Dictionary_WordList_{
			WordList: &dlppb.CustomInfoType_Dictionary_WordList{
				Words: []string{"[e-mail]", "[e-mail]"},
			},
		},
	}

	exclusionRule := &dlppb.ExclusionRule{
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_FULL_MATCH,
		Type: &dlppb.ExclusionRule_Dictionary{
			Dictionary: dictionary,
		},
	}

	inspectRuleSet := &dlppb.InspectionRuleSet{
		InfoTypes: infoTypes,
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_ExclusionRule{
					ExclusionRule: exclusionRule,
				},
			},
		},
	}

	// Construct the configuration for the de-id request and list all desired transformations.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_ReplaceWithInfoTypeConfig{},
	}

	infoTypeTransformation := &dlppb.InfoTypeTransformations{
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			{
				PrimitiveTransformation: primitiveTransformation,
			},
		},
	}

	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: infoTypeTransformation,
		},
	}

	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deIdentifyConfig,
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes:       infoTypes,
			CustomInfoTypes: []*dlppb.CustomInfoType{},
			RuleSet:         []*dlppb.InspectionRuleSet{inspectRuleSet},
		},
		// The item to analyze.
		Item: item,
	}

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

	// Print the result.
	fmt.Fprintf(w, "output : %v", resp.GetItem().GetValue())
	return nil

}

Java

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import com.google.cloud.dlp.v2.DlpServiceClient;
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.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.ExclusionRule;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
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.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReplaceWithInfoTypeConfig;
import java.io.IOException;

public class DeIdentifyWithExceptionList {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "[e-mail] accessed customer record of [e-mail]";
    deIdentifyWithExceptionList(projectId, textToDeIdentify);
  }

  public static void deIdentifyWithExceptionList(String projectId, String textToDeIdentify)
      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 what content you want the service to DeIdentify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Construct the custom word list to be detected.
      Dictionary wordList =
          Dictionary.newBuilder()
              .setWordList(
                  WordList.newBuilder()
                      .addWords("[e-mail]")
                      .addWords("[e-mail]")
                      .build())
              .build();

      // Construct the custom dictionary detector associated with the word list.
      InfoType developerEmail = InfoType.newBuilder().setName("DEVELOPER_EMAIL").build();
      CustomInfoType customInfoType =
          CustomInfoType.newBuilder().setInfoType(developerEmail).setDictionary(wordList).build();

      ExclusionRule exclusionRule =
          ExclusionRule.newBuilder()
              .setDictionary(wordList)
              .setMatchingType(MatchingType.MATCHING_TYPE_FULL_MATCH)
              .build();

      InspectionRule inspectionRule =
          InspectionRule.newBuilder()
              .setExclusionRule(exclusionRule)
              .build();

      // Specify the word list custom info type and build-in info type the inspection will look for.
      InfoType emailAddress = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();

      InspectionRuleSet inspectionRuleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(emailAddress)
              .addRules(inspectionRule)
              .build();

      InspectConfig inspectConfig =
          InspectConfig.newBuilder()
              .addInfoTypes(emailAddress)
              .addCustomInfoTypes(customInfoType)
              .addRuleSet(inspectionRuleSet)
              .build();

      // Define type of deidentification as replacement.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setReplaceWithInfoTypeConfig(ReplaceWithInfoTypeConfig.getDefaultInstance())
              .build();

      // Associate de-identification type with info type.
      InfoTypeTransformation transformation =
          InfoTypeTransformation.newBuilder()
              .addInfoTypes(emailAddress)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      // Construct the configuration for the de-id request and list all desired transformations.
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results
      System.out.println(
          "Text after replace with infotype config: " + response.getItem().getValue());
    }
  }
}

Node.js

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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

// 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.
const dlp = new DLP.DlpServiceClient();

// TODO(developer): Replace these variables before running the sample.
// const projectId = "your-project-id";

// The string to deidentify
// const textToInspect = '[e-mail] accessed customer record of [e-mail]';

// Words to exclude for during inspection
// const words = ['[e-mail]', '[e-mail]'];

// The infoTypes of information to match
// See https://cloud.google.com/dlp/docs/concepts-infotypes for more information
// about supported infoTypes.
// const infoTypes = [{ name: 'EMAIL_ADDRESS' }];

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

  // Construct the custom dictionary detector associated with the word list.
  const wordListDict = {
    wordList: {
      words: words,
    },
  };

  // Construct a rule set that will only match if the match text does not
  // contains tokens from the exclusion list.
  const ruleSet = [
    {
      infoTypes: infoTypes,
      rules: [
        {
          exclusionRule: {
            matchingType:
              DLP.protos.google.privacy.dlp.v2.MatchingType
                .MATCHING_TYPE_FULL_MATCH,
            dictionary: wordListDict,
          },
        },
      ],
    },
  ];

  // Combine configurations to construct inspect config.
  const inspectConfig = {
    infoTypes: infoTypes,
    ruleSet: ruleSet,
  };

  // Define type of de-identification as replacement & associate de-identification type with info type.
  const transformation = {
    infoTypes: [],
    primitiveTransformation: {
      replaceWithInfoTypeConfig: {},
    },
  };

  // Construct the configuration for the de-identification request and list all desired transformations.
  const deidentifyConfig = {
    infoTypeTransformations: {
      transformations: [transformation],
    },
  };

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

  // Send the request and receive response from the service.
  const [response] = await dlp.deidentifyContent(request);

  // Print the results
  console.log(
    `Text after replace with infotype config: ${response.item.value}`
  );
}

deIdentifyWithExceptionList();

PHP

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\MatchingType;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReplaceWithInfoTypeConfig;

/**
 * Create an exception list for de-identification
 * Create an exception list for a regular custom dictionary detector.
 *
 * @param string $callingProjectId  The project ID to run the API call under
 * @param string $textToDeIdentify  The String you want the service to DeIdentify
 */
function deidentify_exception_list(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $textToDeIdentify = '[e-mail] accessed customer record of [e-mail]'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Specify what content you want the service to DeIdentify.
    $contentItem = (new ContentItem())
        ->setValue($textToDeIdentify);

    // Construct the custom word list to be detected.
    $wordList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords(['[e-mail]', '[e-mail]']));

    // Specify the exclusion rule and build-in info type the inspection will look for.
    $exclusionRule = (new ExclusionRule())
        ->setMatchingType(MatchingType::MATCHING_TYPE_FULL_MATCH)
        ->setDictionary($wordList);

    $emailAddress = (new InfoType())
        ->setName('EMAIL_ADDRESS');
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([$emailAddress])
        ->setRules([
            (new InspectionRule())
                ->setExclusionRule($exclusionRule)
        ]);

    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$emailAddress])
        ->setRuleSet([$inspectionRuleSet]);

    // Define type of deidentification as replacement.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setReplaceWithInfoTypeConfig(new ReplaceWithInfoTypeConfig());

    // Associate de-identification type with info type.
    $transformation = (new InfoTypeTransformation())
        ->setInfoTypes([$emailAddress])
        ->setPrimitiveTransformation($primitiveTransformation);

    // Construct the configuration for the de-id request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations(
            (new InfoTypeTransformations())
                ->setTransformations([$transformation])
        );

    // Send the request and receive response from the service
    $parent = "projects/$callingProjectId/locations/global";
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($contentItem);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    printf('Text after replace with infotype config: %s', $response->getItem()->getValue());
}

Python

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

from typing import List

import google.cloud.dlp


def deidentify_with_exception_list(
    project: str, content_string: str, info_types: List[str], exception_list: List[str]
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
      string but ignore matches against custom list.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
            A full list of info type categories can be fetched from the API.
        exception_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 = [{"name": info_type} for info_type in info_types]

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

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

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {"primitive_transformation": {"replace_with_info_type_config": {}}}
            ]
        }
    }

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

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

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print out the results.
    print(response.item.value)

REST

Contoh JSON berikut membuat kamus kustom yang mencantumkan subset alamat email dalam pesan WordList ([e-mail] dan [e-mail]), dan menetapkan nama infoType kustom DEVELOPER_EMAIL. JSON ini menginstruksikan Sensitive Data Protection untuk mengabaikan alamat email yang ditentukan, sekaligus mengganti alamat email lain yang terdeteksi dengan string yang sesuai dengan infoType-nya (dalam hal ini, EMAIL_ADDRESS):

Input JSON:

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

{
  "item":{
    "value":"[e-mail] accessed customer record of [e-mail]"
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "primitiveTransformation":{
            "replaceWithInfoTypeConfig":{

            }
          },
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ]
        }
      ]
    }
  },
  "inspectConfig":{
    "customInfoTypes":[
      {
        "infoType":{
          "name":"DEVELOPER_EMAIL"
        },
        "dictionary":{
          "wordList":{
            "words":[
              "[e-mail]",
              "[e-mail]"
            ]
          }
        }
      }
    ],
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
    "ruleSet": [
      {
        "infoTypes": [
          {
            "name": "EMAIL_ADDRESS"
          }
        ],
        "rules": [
          {
            "exclusionRule": {
              "excludeInfoTypes": {
                "infoTypes": [
                  {
                    "name": "DEVELOPER_EMAIL"
                  }
                ]
              },
              "matchingType": "MATCHING_TYPE_FULL_MATCH"
            }
          }
        ]
      }
    ]
  }
}

Output JSON:

Saat kita mem-POSTING JSON ini ke content:deidentify, JSON ini akan menampilkan respons JSON berikut:

{
  "item":{
    "value":"[e-mail] accessed customer record of [EMAIL_ADDRESS]"
  },
  "overview":{
    "transformedBytes":"17",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "replaceWithInfoTypeConfig":{

          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"17"
      }
    ]
  }
}

Output telah mengidentifikasi [e-mail] dengan benar sebagai cocok dengan detektor infoType EMAIL_ADDRESS dan [e-mail] sebagai cocok dengan detektor infoType kustom DEVELOPER_EMAIL. Perhatikan bahwa karena kita memilih untuk hanya mentransformasi EMAIL_ADDRESS, [e-mail] tidak diubah.

Menambah pendeteksi infotype bawaan

Pertimbangkan skenario saat pendeteksi infoType bawaan tidak menampilkan nilai yang benar. Misalnya, Anda ingin menampilkan kecocokan pada nama orang, tetapi pendeteksi PERSON_NAME bawaan Sensitive Data Protection gagal menampilkan kecocokan pada beberapa nama orang yang umum dalam set data Anda.

Sensitive Data Protection memungkinkan Anda menambah detektor infoType bawaan dengan menyertakan detektor bawaan dalam deklarasi untuk detektor infoType kustom, seperti yang ditunjukkan dalam contoh berikut. Cuplikan ini menggambarkan cara mengonfigurasi Sensitive Data Protection sehingga pendeteksi infoType bawaan PERSON_NAME juga akan mencocokkan nama "Quasimodo:"

C#

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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

public class InspectDataUsingAugmentInfoTypes
{
    public static InspectContentResponse InspectData(
        string projectId,
        string text,
        InfoType infoType = null)
    {
        // Instantiate the dlp client.
        var dlp = DlpServiceClient.Create();

        // Specify the type of info to be inspected and construct the infotype.
        var infotype = infoType ?? new InfoType { Name = "PERSON_NAME" };

        // Construct the custom infoTypes with dictionary.
        var customInfoTypes = new CustomInfoType
        {
            InfoType = infotype,
            Dictionary = new Dictionary
            {
                WordList = new Dictionary.Types.WordList
                {
                    Words = { new string[] { "quasimodo" } }
                }
            }
        };

        // Construct the inspect config using custom infoTypes.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes = { customInfoTypes },
            IncludeQuote = true,
            InfoTypes = { infotype }
        };

        // Construct the request.
        var request = new InspectContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            InspectConfig = inspectConfig,
            Item = new ContentItem
            {
                ByteItem = new ByteContentItem
                {
                    Data = ByteString.CopyFromUtf8(text),
                    Type = ByteContentItem.Types.BytesType.TextUtf8
                }
            }
        };

        // Call the API.
        InspectContentResponse response = dlp.InspectContent(request);

        // Parse the response.
        var findings = response.Result.Findings;
        Console.WriteLine($"Finding: {findings.Count}");

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

        return response;
    }
}

Go

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import (
	"context"
	"fmt"
	"io"

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

// inspectAugmentInfoTypes performs info type augmentation using Google Cloud DLP.
// It enhances data inspection by supplementing existing info types with custom-defined ones,
// expanding the ability to identify sensitive information in different contexts.
func inspectAugmentInfoTypes(w io.Writer, projectID, textToInspect string, wordList []string) error {
	// projectID := "your-project-id"
	// textToInspect := "The patient's name is quasimodo"
	// wordList := []string{"quasimodo"}

	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 content to be inspected.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: textToInspect,
		},
	}

	// Construct the custom word list to be detected.
	dictionary := &dlppb.CustomInfoType_Dictionary{
		Source: &dlppb.CustomInfoType_Dictionary_WordList_{
			WordList: &dlppb.CustomInfoType_Dictionary_WordList{
				Words: wordList,
			},
		},
	}

	// 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.
	infoType := &dlppb.InfoType{
		Name: "PERSON_NAME",
	}

	// Construct a custom infoType detector by augmenting the PERSON_NAME detector with a word list.
	customInfoType := &dlppb.CustomInfoType{
		InfoType: infoType,
		Type: &dlppb.CustomInfoType_Dictionary_{
			Dictionary: dictionary,
		},
	}

	// Specify the inspect config for data inspection settings in DLP API, enabling rule
	// specification, custom info types, and actions on sensitive data. Crucial for tailored
	// data protection and privacy regulation compliance.
	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			customInfoType,
		},
		IncludeQuote: true,
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent:        fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:          item,
		InspectConfig: inspectConfig,
	}

	// Create the request for the job configured above.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

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

Java

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ByteContentItem;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.Finding;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.InspectContentRequest;
import com.google.privacy.dlp.v2.InspectContentResponse;
import com.google.privacy.dlp.v2.LocationName;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;

public class InspectStringAugmentInfoType {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToInspect = "The patient's name is quasimodo";
    // The string to be additionally matched.
    List<String> wordList = Arrays.asList("quasimodo");
    inspectStringAugmentInfoType(projectId, textToInspect, wordList);
  }

  // Inspects the text using new custom words added to the dictionary.
  public static void inspectStringAugmentInfoType(
      String projectId, String textToInspect, List<String> wordList) 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(ByteContentItem.BytesType.TEXT_UTF8)
              .setData(ByteString.copyFromUtf8(textToInspect))
              .build();
      ContentItem item = ContentItem.newBuilder().setByteItem(byteItem).build();

      // Construct the custom word list to be detected.
      CustomInfoType.Dictionary dictionary =
          CustomInfoType.Dictionary.newBuilder()
              .setWordList(
                  CustomInfoType.Dictionary.WordList.newBuilder().addAllWords(wordList).build())
              .build();

      InfoType infoType = InfoType.newBuilder().setName("PERSON_NAME").build();
      // Construct a custom infotype detector by augmenting the PERSON_NAME detector with a word
      // list.
      CustomInfoType customInfoType =
          CustomInfoType.newBuilder().setInfoType(infoType).setDictionary(dictionary).build();

      InspectConfig inspectConfig =
          InspectConfig.newBuilder()
              .addCustomInfoTypes(customInfoType)
              .setIncludeQuote(true)
              .build();

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

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

// Imports the Google Cloud client library
const DLP = require('@google-cloud/dlp');
// Instantiates a client
const dlp = new DLP.DlpServiceClient();

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

// The string to inspect
// const string = "The patient's name is quasimodo";

// Word list
// const words = ['quasimodo'];

async function inspectStringAugmentInfoType() {
  // Specify the type and content to be inspected.
  const byteItem = {
    type: 'BYTES',
    data: Buffer.from(string),
  };
  const item = {byteItem: byteItem};

  // Construct the custom word list to be detected.
  const dictionary = {
    wordList: {
      words: words,
    },
  };

  // Construct a custom infotype detector by augmenting the PERSON_NAME detector with a word list.
  const customInfoType = {
    infoType: {name: 'PERSON_NAME'},
    dictionary: dictionary,
  };

  const inspectConfig = {
    customInfoTypes: [customInfoType],
    includeQuote: true,
  };

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

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

  // 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.');
  }
}
inspectStringAugmentInfoType();

PHP

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\Likelihood;

/**
 * Augment a built-in infotype detector.
 * Consider a scenario in which a built-in infoType detector isn’t returning the correct values.
 * For example, you want to return matches on person names, but Cloud DLP's built-in
 * PERSON_NAME detector is failing to return matches on some person names that are common in your dataset.
 * Cloud DLP allows you to augment built-in infoType detectors by including a built-in detector in the
 * declaration for a custom infoType detector, as shown in the following example. This snippet
 * illustrates how to configure Cloud DLP so that the PERSON_NAME built-in infoType detector will
 * additionally match the name “Quasimodo:”.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 * @param array  $matchWordList     Specify the set of words to match.
 */
function inspect_augment_infotypes(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'Smith and Quasimodo are good cricketer',
    array  $matchWordList = ['quasimodo']
): 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);

    // The infoTypes of information to match.
    $personNameInfoType = (new InfoType())
        ->setName('PERSON_NAME');

    // Construct the word list to be detected.
    $wordList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords($matchWordList));

    // Construct the custom infotype detector.
    $customInfoType = (new CustomInfoType())
        ->setInfoType($personNameInfoType)
        ->setLikelihood(Likelihood::POSSIBLE)
        ->setDictionary($wordList);

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

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

    // Print the results.
    $findings = $response->getResult()->getFindings();
    if (count($findings) == 0) {
        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

Untuk mempelajari cara menginstal dan menggunakan library klien untuk Sensitive Data Protection, lihat library klien Sensitive Data Protection.

Untuk melakukan autentikasi ke Sensitive Data Protection, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

from typing import List

import google.cloud.dlp


def inspect_string_augment_infotype(
    project: str,
    input_str: str,
    info_type: str,
    word_list: List[str],
) -> None:
    """Uses the Data Loss Prevention API to augment built-in infoType
    detector and inspect the content string with augmented infoType.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to inspect using augmented infoType
            (will be treated as text).
        info_type: A string representing built-in infoType to augment.
            A full list of infoType categories can be fetched from the API.
        word_list: List of words or phrases to be added to extend the behaviour
            of built-in infoType.
    """

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

    # Construct the custom infoTypes dictionary with declaration of a built-in detector.
    custom_info_types = [
        {
            "info_type": {"name": info_type},
            "dictionary": {"word_list": {"words": word_list}},
        }
    ]

    # Construct inspect configuration dictionary with the custom info type.
    inspect_config = {
        "custom_info_types": custom_info_types,
        "include_quote": True,
    }

    # Construct the `item` to be inspected.
    item = {"value": input_str}

    # 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} \n")
    else:
        print("No findings.")

REST

...
  "inspectConfig":{
    "customInfoTypes":[
      {
        "infoType":{
          "name":"PERSON_NAME"
        },
        "dictionary":{
          "wordList":{
            "words":[
              "quasimodo"
            ]
          }
        }
      }
    ]
  }
...

Langkah berikutnya

Pelajari kamus kustom besar.