Cloud Data Loss Prevention (Cloud DLP) 现已成为敏感数据保护功能的一部分。API 名称保持不变：Cloud Data Loss Prevention API (DLP API)。如需了解构成敏感数据保护的服务，请参阅敏感数据保护概览。

此页面由 Cloud Translation API 翻译。

转换参考

本主题介绍 Sensitive Data Protection 中提供的去标识化方法（或称转换）。

去标识化方法的类型

应根据要去标识化的数据种类以及对数据进行去标识化的目的来选择使用的去标识化转换。Sensitive Data Protection 支持的去标识化方法分为以下几大类别：

隐去：删除检测到的全部或部分敏感值。
替换：使用指定的代理值替换检测到的敏感值。
遮罩：使用指定的代理字符（例如井号 (#) 或星号 (*)）替换敏感值中的若干字符。
基于加密的令牌化：使用加密密钥加密原始敏感数据值。敏感数据保护支持多种类型的令牌化，包括可以逆转或“重标识”的转换。
分桶：使用某个范围或系列值替换敏感值来对其进行“泛化”处理。（例如，使用年龄范围来替换特定年龄值，或者使用“热”、“温”和“冷”替换相应范围内的温度值。）
日期偏移：将敏感日期值移动一段随机时间。
时间提取：提取或保留日期和时间值的指定部分。

本主题的其余部分将介绍各种不同类型的去标识化转换，并提供其使用示例。

转换方法

下表列出了 Sensitive Data Protection 提供的用于对敏感数据进行去标识化的转换：

转换	对象	说明	可以逆转₁	参照完整性₂	输入类型
遮盖	`RedactConfig`	通过删除值来进行遮盖。			不限
替换	`ReplaceValueConfig`	使用给定值替换每个输入值。			不限
替换为字典	`ReplaceDictionaryConfig`	将输入值替换为从字词列表中随机选择的值。			不限
使用 infoType 替换	`ReplaceWithInfoTypeConfig`	将输入值替换为其 infoType 的名称。			不限
使用字符遮罩	`CharacterMaskConfig`	通过将给定数量的字符替换为所指定的固定字符，全部或部分遮盖字符串。			不限
通过将输入值替换为加密哈希实现假名化	`CryptoHashConfig`	将输入值替换为由给定数据加密密钥生成的 32 字节十六进制字符串。请参阅假名化概念文档了解详情。		✔	字符串或整数
通过替换为加密保留格式令牌实现假名化	`CryptoReplaceFfxFpeConfig`	使用 FFX 运算模式的保留格式加密 (FPE) 将输入值替换为长度相同的令牌或代理值。这样就能在具有长度格式验证的系统中使用输出。这对于必须保留字符串长度的旧系统很有用。重要提示：对于长度不等或长度超过 32 个字节的输入，请使用 `CryptoDeterministicConfig`。为确保安全，美国国家标准与技术研究院建议遵循以下限制： radix^max_size <= 2^128. radix^min_len >= 100 我们建议对不要求保留输入的字母表空间和大小，且保证参照完整性的所有用例使用 CryptoDeterministicConfig。请参阅假名化概念文档了解详情。	✔	✔	具有有限字符数或长度统一的字符串或整数。字母表必须至少包含 2 个字符，且不得超过 95 个字符。
通过替换为加密令牌实现假名化	`CryptoDeterministicConfig`	使用合成初始化矢量模式下的 AES (AES-SIV) 将输入值替换为长度相同的令牌或代理值。与保留格式令牌化不同，此转换方法对受支持的字符串字符集没有任何限制，为相同输入值的每个实例生成相同令牌，并在给定原始加密密钥的情况下使用代理来启用重标识。	✔	✔	不限
基于固定大小范围的分桶值	`FixedSizeBucketingConfig`	将输入值替换为输入值所在的分桶（或范围）的值。			不限
基于自定义大小范围的分桶值	`BucketingConfig`	根据用户可配置的范围和替换值将输入值替换为分桶值。			不限
日期偏移	`DateShiftConfig`	按随机天数偏移日期，可使同一上下文保持一致。		✔ 保留顺序和持续时间	日期/时间
提取时间数据	`TimePartConfig`	提取或保留 `Date`、`Timestamp` 和 `TimeOfDay` 值的一部分。			日期/时间

脚注

¹ 可以对可逆转换进行逆转，以使用 content.reidentify 方法重新标识敏感数据。

² 参照完整性允许在对数据去标识化的同时保持记录之间的关系。例如，给定相同的加密密钥和上下文，数据在每次转换时都将被替换为相同的去标识化形式，从而保留记录之间的联系。

隐去

如果只想从输入内容中移除敏感数据，Sensitive Data Protection 支持隐去转换（DLP API 中的 RedactConfig）。

例如，假设您要对所有 EMAIL_ADDRESS infoType 执行简单的隐去处理，且下列字符串已发送到敏感数据保护：

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

返回的字符串如下：

My name is Alicia Abernathy, and my email address is .

多种语言的以下 JSON 示例和代码演示了如何构建 API 请求以及 DLP API 会返回哪些内容。

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class DeidentifyDataUsingRedactWithMatchedInputValues
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        IEnumerable<InfoType> infoTypes = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct inspect config.
        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoTypes ?? new InfoType[] { new InfoType { Name = "EMAIL_ADDRESS" } } },
        };

        // Construct redact config.
        var redactConfig = new RedactConfig();

        // Construct deidentify config using redact config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            RedactConfig = redactConfig
                        }
                    }
                }
            }
        };

        // Construct a request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

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

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

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

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

// deidentifyWithRedact de-identify the data by redacting with matched input values
func deidentifyWithRedact(w io.Writer, projectID, inputStr string, infoTypeNames []string) error {
	// projectID := "my-project-id"
	// inputStr := "My name is Alicia Abernathy, and my email address is aabernathy@example.com."
	// infoTypeNames := []string{"EMAIL_ADDRESS"}

	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 resources.
	defer client.Close()

	// Specify the content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// 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 []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: infoTypes,
	}

	// Define type of de-identification.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_RedactConfig{
			RedactConfig: &dlppb.RedactConfig{},
		},
	}

	// Associate de-identification type with info type.
	transformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes:               infoTypes,
		PrimitiveTransformation: primitiveTransformation,
	}

	// Construct the configuration for the Redact request and list all desired transformations.
	redactConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					transformation,
				},
			},
		},
	}

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

	// 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

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
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.RedactConfig;

public class DeIdentifyWithRedaction {

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

  // Inspects the provided text.
  public static void deIdentifyWithRedaction(String projectId, String textToRedact) {
    // 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 content to be inspected.
      ContentItem item = ContentItem.newBuilder().setValue(textToRedact).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
      InfoType infoType = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();
      InspectConfig inspectConfig = InspectConfig.newBuilder().addInfoTypes(infoType).build();
      // Define type of deidentification.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setRedactConfig(RedactConfig.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 redactConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Construct the Redact request to be sent by the client.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(redactConfig)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Parse the response and process results
      System.out.println("Text after redaction: " + response.getItem().getValue());
    } catch (Exception e) {
      System.out.println("Error during inspectString: \n" + e.toString());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

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

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

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

// The string to deidentify
// const string =
//   'My name is Alicia Abernathy, and my email address is aabernathy@example.com.';

// 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 deIdentifyRedaction() {
  // Construct deidentify configuration
  const deidentifyConfig = {
    infoTypeTransformations: {
      transformations: [
        {
          infoTypes: infoTypes,
          primitiveTransformation: {
            redactConfig: {},
          },
        },
      ],
    },
  };

  // Construct inspect configuration
  const inspectConfig = {
    infoTypes: infoTypes,
  };

  // Construct Item
  const item = {
    value: string,
  };

  // 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 redaction: ${response.item.value}`);
}

deIdentifyRedaction();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
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\RedactConfig;

/**
 * De-identify data: Redacting with matched input values
 * Uses the Data Loss Prevention API to de-identify sensitive data in a string by redacting matched input values.
 *
 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect         The string to deidentify (will be treated as text).
 */
function deidentify_redact(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $textToInspect = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.'

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

    // Specify the content to be de-identify.
    $contentItem = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $infoType = (new InfoType())
        ->setName('EMAIL_ADDRESS');
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$infoType]);

    // Define type of de-identification.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setRedactConfig(new RedactConfig());

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

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

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

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

    // Print results
    printf('Text after redaction: %s', $response->getItem()->getValue());
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

from typing import List

import google.cloud.dlp


def deidentify_with_redact(
    project: str,
    input_str: str,
    info_types: List[str],
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string by redacting matched input values.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

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

    # Construct item
    item = {"value": input_str}

    # 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

如需详细了解如何将 DLP API 与 JSON 结合使用，请参阅 JSON 快速入门。

HTTP 方法和网址

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

将 PROJECT_ID 替换为项目 ID。

JSON 输入

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation":{
            "redactConfig":{
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
  }
}

JSON 输出

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is ."
  },
  "overview":{
    "transformedBytes":"22",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "redactConfig":{
          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"22"
      }
    ]
  }
}

替换

替换转换使用给定令牌值或其 infoType 的名称替换每个输入值。

基本替换

基本替换转换（DLP API 中的 ReplaceValueConfig）会使用您指定的值替换检测到的敏感数据值。例如，假设您已让敏感数据保护功能使用“[fake@example.com]”替换所有检测到的 EMAIL_ADDRESS infoType，且下列字符串已发送到敏感数据保护功能：

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

返回的字符串如下：

My name is Alicia Abernathy, and my email address is [fake@example.com].

多种语言的以下 JSON 示例和代码演示了如何构建 API 请求以及 DLP API 会返回哪些内容。

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class DeidentifyWithReplacement
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        string replaceText = null,
        IEnumerable<InfoType> infoTypes = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Set the info type if null.
        var infotypes = infoTypes ?? new InfoType[] { new InfoType { Name = "EMAIL_ADDRESS" } };

        // Construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infotypes }
        };

        // Construct the replace value config.
        var replaceConfig = new ReplaceValueConfig
        {
            NewValue = new Value { StringValue = replaceText ?? "[email-address]" }
        };

        // Construct the deidentify config using replace value config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        InfoTypes = { infotypes },
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            ReplaceConfig = replaceConfig
                        }
                    }
                },
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

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

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

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

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

// deidentifyWithReplacement de-identifies sensitive data by replacing matched input values
func deidentifyWithReplacement(w io.Writer, projectID, inputStr string, infoTypeNames []string, replaceVal string) error {
	// projectId := "your-project-id"
	// inputStr := "My name is Alicia Abernathy, and my email address is aabernathy@example.com."
	// infoTypeNames := []string{"EMAIL_ADDRESS"}
	// replaceVal := "[email-address]"

	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()

	// item to be analyzed
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{Value: inputStr},
	}

	// 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 []*dlppb.InfoType
	for _, v := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: v})
	}
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: infoTypes,
	}

	// Specify replacement string to be used for the finding.
	replaceValueConfig := &dlppb.ReplaceValueConfig{
		NewValue: &dlppb.Value{
			Type: &dlppb.Value_StringValue{
				StringValue: replaceVal,
			},
		},
	}

	// Define type of de-identification as replacement.
	primitiveTransformation := &dlppb.PrimitiveTransformation_ReplaceConfig{
		ReplaceConfig: replaceValueConfig,
	}

	// Associate de-identification type with info type.
	infoTypeTransformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes: infoTypes,
		PrimitiveTransformation: &dlppb.PrimitiveTransformation{
			Transformation: primitiveTransformation,
		},
	}

	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					infoTypeTransformation,
				},
			},
		},
	}

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

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

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

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
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.ReplaceValueConfig;
import com.google.privacy.dlp.v2.Value;

public class DeIdentifyWithReplacement {

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

  // Inspects the provided text.
  public static void deIdentifyWithReplacement(String projectId, String textToRedact) {
    // 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 content to be inspected.
      ContentItem item = ContentItem.newBuilder().setValue(textToRedact).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
      InfoType infoType = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();
      InspectConfig inspectConfig = InspectConfig.newBuilder().addInfoTypes(infoType).build();
      // Specify replacement string to be used for the finding.
      ReplaceValueConfig replaceValueConfig =
          ReplaceValueConfig.newBuilder()
              .setNewValue(Value.newBuilder().setStringValue("[email-address]").build())
              .build();
      // Define type of deidentification as replacement.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder().setReplaceConfig(replaceValueConfig).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 redactConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Construct the Redact request to be sent by the client.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(redactConfig)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Parse the response and process results
      System.out.println("Text after redaction: " + response.getItem().getValue());
    } catch (Exception e) {
      System.out.println("Error during inspectString: \n" + e.toString());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 deidentify
// const string = 'My SSN is 372819127';

// The string to replace sensitive information with
// const replacement = "[REDACTED]"

async function deidentifyWithReplacement() {
  // Construct deidentification request
  const item = {value: string};
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              replaceConfig: {
                newValue: {
                  stringValue: replacement,
                },
              },
            },
          },
        ],
      },
    },
    item: item,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  console.log(deidentifiedItem.value);
}

deidentifyWithReplacement();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
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\ReplaceValueConfig;
use Google\Cloud\Dlp\V2\Value;

/**
 * De-identify sensitive data: Replacing matched input values.
 * Uses the Data Loss Prevention API to de-identify sensitive data in a string by replacing matched input values with a value that you specify.
 *
 * @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_replace(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

    // Specify the content to be deidentify.
    $content = (new ContentItem())
        ->setValue($string);

    // Specify the type of info the inspection will look for.
    $emailAddressInfoType = (new InfoType())
        ->setName('EMAIL_ADDRESS');

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

    // Specify replacement string to be used for the finding.
    $replaceValueConfig = (new ReplaceValueConfig())
        ->setNewValue((new Value())
            ->setStringValue('[email-address]'));

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

    // Associate deidentification type with info type.
    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes([$emailAddressInfoType]);

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

    // Construct the configuration for the Redact request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($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' . PHP_EOL, $response->getItem()->getValue());
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

from typing import List

import google.cloud.dlp


def deidentify_with_replace(
    project: str,
    input_str: str,
    info_types: List[str],
    replacement_str: str = "REPLACEMENT_STR",
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string by replacing matched input values with a value you specify.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
        replacement_str: The string to replace all values that match given
            info types.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "replace_config": {
                            "new_value": {"string_value": replacement_str}
                        }
                    }
                }
            ]
        }
    }

    # Construct item
    item = {"value": input_str}

    # 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

如需详细了解如何将 DLP API 与 JSON 结合使用，请参阅 JSON 快速入门。

HTTP 方法和网址

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

将 PROJECT_ID 替换为项目 ID。

JSON 输入

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation":{
            "replaceConfig":{
              "newValue":{
                "stringValue":"[email-address]"
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
  }
}

JSON 输出

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is [email-address]."
  },
  "overview":{
    "transformedBytes":"22",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "replaceConfig":{
            "newValue":{
              "stringValue":"[email-address]"
            }
          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"22"
      }
    ]
  }
}

字典替换

字典替换 (ReplaceDictionaryConfig) 会将检测到的每项敏感数据替换为敏感数据保护功能从您提供的字词列表中随机选择的值。如果您想使用逼真的代理值，此转换方法非常有用。

假设您希望 Sensitive Data Protection 检测电子邮件地址，并将每个检测到的值替换为三个代理电子邮件地址之一。

您将以下输入字符串以及替代电子邮件地址列表发送到敏感数据保护功能：

输入字符串

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

字词列表

izumi@example.com
alex@example.com
tal@example.com

返回的字符串可以是以下任一项：

My name is Alicia Abernathy, and my email address is izumi@example.com.

My name is Alicia Abernathy, and my email address is alex@example.com.

My name is Alicia Abernathy, and my email address is tal@example.com.

下面的 JSON 示例演示了如何创建 API 请求以及 DLP API 会返回哪些内容。

要详细了解如何将 DLP API 与 JSON 结合使用，请参阅 JSON 快速入门。

HTTP 方法和网址

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

将 PROJECT_ID 替换为项目 ID。

JSON 输入

{
  "item": {
    "value": "My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig": {
    "infoTypeTransformations": {
      "transformations": [
        {
          "infoTypes": [
            {
              "name": "EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation": {
            "replaceDictionaryConfig": {
              "wordList": {
                "words": [
                  "izumi@example.com",
                  "alex@example.com",
                  "tal@example.com"
                ]
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig": {
    "infoTypes": [
      {
        "name": "EMAIL_ADDRESS"
      }
    ]
  }
}

JSON 输出

{
  "item": {
    "value": "My name is Alicia Abernathy, and my email address is izumi@example.com."
  },
  "overview": {
    "transformedBytes": "22",
    "transformationSummaries": [
      {
        "infoType": {
          "name": "EMAIL_ADDRESS"
        },
        "transformation": {
          "replaceDictionaryConfig": {
            "wordList": {
              "words": [
                "izumi@example.com",
                "alex@example.com",
                "tal@example.com"
              ]
            }
          }
        },
        "results": [
          {
            "count": "1",
            "code": "SUCCESS"
          }
        ],
        "transformedBytes": "22"
      }
    ]
  }
}

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class DeidentifyDataUsingDictionaryReplacement
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        IEnumerable<InfoType> infoTypes = null,
        IEnumerable<string> words = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct inspect config by specifying the type of info to be inspected.
        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoTypes ?? new InfoType[] { new InfoType { Name = "EMAIL_ADDRESS" } } },
        };

        // Construct dictionary replace config by specifying the list of value which will
        // be replaced by any mentioned values below.
        var replaceConfig = new ReplaceDictionaryConfig
        {
            WordList = new CustomInfoType.Types.Dictionary.Types.WordList
            {
                Words =
                {
                    words ?? new string[]
                    {
                        "izumi@example.com", "alex@example.com", "tal@example.com"
                    }
                }
            }
        };

        // Construct deidentify config using above created replace config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            ReplaceDictionaryConfig = replaceConfig
                        }
                    }
                }
            }
        };

        // Construct a request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

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

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

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import (
	"context"
	"fmt"
	"io"

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

// deidentifyDataReplaceWithDictionary de-identifies sensitive data in a string by replacing
// each piece of detected sensitive data with a value that Cloud DLP randomly selects from
// a list of words that you provide.
func deidentifyDataReplaceWithDictionary(w io.Writer, projectID, textToDeIdentify string) error {
	// projectId := "my-project-id"
	// textToDeIdentify := "My name is Alicia Abernathy, and my email address is aabernathy@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 content to be inspected.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: textToDeIdentify,
		},
	}

	// 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: "EMAIL_ADDRESS",
	}

	// Specify the infotypes to be inspected.
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: []*dlppb.InfoType{
			infoType,
		},
	}

	// Specify list of values which will be randomly picked to replace identified email addresses.
	wordList := &dlppb.ReplaceDictionaryConfig_WordList{
		WordList: &dlppb.CustomInfoType_Dictionary_WordList{
			Words: []string{"izumi@example.com", "alex@example.com"},
		},
	}

	// Specify the Dictionary to use for selecting replacement values for the finding.
	replaceDictionaryConfig := &dlppb.ReplaceDictionaryConfig{
		Type: wordList,
	}

	// Define type of de-identification as replacement with items from dictionary.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_ReplaceDictionaryConfig{
			ReplaceDictionaryConfig: replaceDictionaryConfig,
		},
	}

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

	// Combine configurations into a request for the service.
	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					transformation,
				},
			},
		},
	}

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

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

	// Print the results.
	fmt.Fprint(w, "output: ", resp.GetItem().GetValue())
	return nil

}

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。



import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
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.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReplaceDictionaryConfig;
import java.io.IOException;

public class DeIdentifyDataReplaceWithDictionary {
  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 textToDeIdentify =
        "My name is Charlie and email address is charlie@example.com.";
    deidentifyDataReplaceWithDictionary(projectId, textToDeIdentify);
  }

  // Performs data de-identification by replacing identified email addresses in a given text with
  // randomly selected values from a dictionary.
  public static void deidentifyDataReplaceWithDictionary(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 de-identify.
      ContentItem item = ContentItem.newBuilder().setValue(textToDeIdentify).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
      InfoType infoType = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();
      InspectConfig inspectConfig = InspectConfig.newBuilder().addInfoTypes(infoType).build();

      // Specify list of value which will randomly replace identified email addresses.
      WordList wordList =
          WordList.newBuilder().addWords("izumi@example.com").addWords("alex@example.com").build();

      // Specify the dictionary to use for selecting replacement values for the finding.
      ReplaceDictionaryConfig replaceDictionaryConfig =
          ReplaceDictionaryConfig.newBuilder().setWordList(wordList).build();

      // Define type of de-identification as replacement with items from dictionary.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setReplaceDictionaryConfig(replaceDictionaryConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation transformation =
          InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .addInfoTypes(infoType)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      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(item)
              .setDeidentifyConfig(deidentifyConfig)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Parse the response and process results.
      System.out.print("Text after de-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 de-identify
// const string = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.';

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

// The words to replace sensitive information with
// const words = ['izumi@example.com', 'alex@example.com', 'tal@example.com'];

async function deidentifyWithDictionaryReplacement() {
  // Construct word list to be used for replacement
  const wordList = {
    words: words,
  };
  // Construct item to de-identify
  const item = {value: string};

  // Specify replacement dictionary config using word list.
  const replaceDictionaryConfig = {
    wordList: wordList,
  };

  // Associate replacement dictionary config with infotype transformation.
  const infoTypeTransformations = {
    transformations: [
      {
        infoTypes: infoTypes,
        primitiveTransformation: {
          replaceDictionaryConfig: replaceDictionaryConfig,
        },
      },
    ],
  };

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

  // Run de-identification request.
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;

  // Print results.
  console.log(deidentifiedItem.value);
}

deidentifyWithDictionaryReplacement();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
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\ReplaceDictionaryConfig;

/**
 * Dictionary replacement
 * Dictionary replacement (ReplaceDictionaryConfig) replaces each piece of detected sensitive data with a
 * value that Cloud DLP randomly selects from a list of words that you provide. This transformation method
 * is useful if you want to use realistic surrogate values.Suppose you want Cloud DLP to detect email addresses
 * and replace each detected value with one of three surrogate email addresses.
 *
 * @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_dictionary_replacement(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $textToDeIdentify = 'My name is Charlie and email address is charlie@example.com.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

    // 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
    $emailAddress = (new InfoType())
        ->setName('EMAIL_ADDRESS');

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

    // Define type of de-identification as replacement with items from dictionary.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setReplaceDictionaryConfig(
            // Specify the dictionary to use for selecting replacement values for the finding.
            (new ReplaceDictionaryConfig())
                ->setWordList(
                    // Specify list of value which will randomly replace identified email addresses.
                    (new WordList())
                        ->setWords(['izumi@example.com', 'alex@example.com', 'tal@example.com'])
                )
        );

    $transformation = (new InfoTypeTransformation())
        ->setInfoTypes([$emailAddress])
        ->setPrimitiveTransformation($primitiveTransformation);

    // Construct the configuration for the de-identification 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

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

from typing import List

import google.cloud.dlp


def deindentify_with_dictionary_replacement(
    project: str,
    input_str: str,
    info_types: List[str],
    word_list: List[str],
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
    string by replacing each piece of detected sensitive data with a value
    that Cloud DLP randomly selects from a list of words that you provide.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing infoTypes to look for.
        word_list: List of words or phrases to search for in the data.
    """

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

    # Construct list of info types
    info_types = [{"name": info_type} for info_type in info_types]

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "info_types": info_types,
                    "primitive_transformation": {
                        "replace_dictionary_config": {"word_list": {"words": word_list}}
                    },
                }
            ]
        }
    }

    # 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": {"info_types": info_types},
            "item": item,
        }
    )

    # Print out the results.
    print(f"De-identified Content: {response.item.value}")

infoType 替换

您还可以指定 infoType 替换（DLP API 中的 ReplaceWithInfoTypeConfig）。此转换与基本替换转换的作用相同，但它使用检测到的值的 infoType 替换检测到的每个敏感数据值。

例如，假设您已让敏感数据保护功能检测电子邮件地址和姓氏，并使用值的 infoType 替换每个检测到的值。您将以下字符串发送到敏感数据保护：

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

返回的字符串如下：

My name is Alicia LAST_NAME, and my email address is EMAIL_ADDRESS.

遮盖

您可以将 Sensitive Data Protection 配置为使用固定的单个遮盖字符（例如星号 (*) 或井号 (#）替换每个字符，以完全或部分遮盖检测到的敏感值（DLP API 中的 CharacterMaskConfig）。可以从字符串的开头或结尾开始遮盖。此转换也适用于数字类型，例如长整数。

Sensitive Data Protection 的遮盖转换提供了如下可以指定的选项：

遮盖字符（DLP API 中的 maskingCharacter 参数）：用于遮盖敏感值中每个字符的字符。例如，您可以指定用星号 (*) 或美元符号 ($) 来遮盖信用卡号中的一连串数字。
需要遮盖的字符数 (numberToMask)：如果未指定此值，将遮盖所有字符。
是否逆转顺序 (reverseOrder)：是否按反向顺序遮盖字符。如果逆转顺序，将从匹配值的末尾朝着开头遮盖值中的字符。
需要忽略的字符 (charactersToIgnore)：遮盖值时要跳过的一个或多个字符。例如，您可以让敏感数据保护在遮盖电话号码时保留连字符。您还可以指定一组要在遮盖时忽略的常见字符 (CharsToIgnore)。

假设您将以下字符串发送到敏感数据保护，并指示其对电子邮件地址使用字符遮盖转换：

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

在将遮盖字符发送到“＃”，要忽略的字符设置为公共字符集，其他字符设置为默认设置后，敏感数据保护返回以下内容：

My name is Alicia Abernathy, and my email address is ##########@#######.###.

以下 JSON 和代码示例演示了遮盖转换的工作原理。

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.CharacterMaskConfig;
import com.google.privacy.dlp.v2.ContentItem;
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 java.io.IOException;
import java.util.Arrays;

public class DeIdentifyWithMasking {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "My SSN is 372819127";
    deIdentifyWithMasking(projectId, textToDeIdentify);
  }

  public static void deIdentifyWithMasking(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();

      // 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 infoType = InfoType.newBuilder().setName("US_SOCIAL_SECURITY_NUMBER").build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addAllInfoTypes(Arrays.asList(infoType)).build();

      // Specify how the info from the inspection should be masked.
      CharacterMaskConfig characterMaskConfig =
          CharacterMaskConfig.newBuilder()
              .setMaskingCharacter("X") // Character to replace the found info with
              .setNumberToMask(5) // How many characters should be masked
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCharacterMaskConfig(characterMaskConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).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 masking: " + response.getItem().getValue());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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-id';

// The string to deidentify
// const string = 'My SSN is 372819127';

// (Optional) The maximum number of sensitive characters to mask in a match
// If omitted from the request or set to 0, the API will mask any matching characters
// const numberToMask = 5;

// (Optional) The character to mask matching sensitive data with
// const maskingCharacter = 'x';

// Construct deidentification request
const item = {value: string};

async function deidentifyWithMask() {
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              characterMaskConfig: {
                maskingCharacter: maskingCharacter,
                numberToMask: numberToMask,
              },
            },
          },
        ],
      },
    },
    item: item,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  console.log(deidentifiedItem.value);
}

deidentifyWithMask();

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

from typing import List

import google.cloud.dlp


def deidentify_with_mask(
    project: str,
    input_str: str,
    info_types: List[str],
    masking_character: str = None,
    number_to_mask: int = 0,
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string by masking it with a character.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: 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.
        masking_character: The character to mask matching sensitive data with.
        number_to_mask: The maximum number of sensitive characters to mask in
            a match. If omitted or set to zero, the API will default to no
            maximum.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "character_mask_config": {
                            "masking_character": masking_character,
                            "number_to_mask": number_to_mask,
                        }
                    }
                }
            ]
        }
    }

    # Construct item
    item = {"value": input_str}

    # 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)

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

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

// mask deidentifies the input by masking all provided info types with maskingCharacter
// and prints the result to w.
func mask(w io.Writer, projectID, input string, infoTypeNames []string, maskingCharacter string, numberToMask int32) error {
	// projectID := "my-project-id"
	// input := "My SSN is 111222333"
	// infoTypeNames := []string{"US_SOCIAL_SECURITY_NUMBER"}
	// maskingCharacter := "+"
	// numberToMask := 6
	// Will print "My SSN is ++++++333"

	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()
	// Convert the info type strings to a list of InfoTypes.
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}
	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: infoTypes,
		},
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{}, // Match all info types.
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_CharacterMaskConfig{
									CharacterMaskConfig: &dlppb.CharacterMaskConfig{
										MaskingCharacter: maskingCharacter,
										NumberToMask:     numberToMask,
									},
								},
							},
						},
					},
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("DeidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Dlp\V2\CharacterMaskConfig;
use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
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\PrimitiveTransformation;

/**
 * Deidentify sensitive data in a string by masking it with a character.
 *
 * @param string $callingProjectId The GCP Project ID to run the API call under
 * @param string $string           The string to deidentify
 * @param int    $numberToMask     (Optional) The maximum number of sensitive characters to mask in a match
 * @param string $maskingCharacter (Optional) The character to mask matching sensitive data with (defaults to "x")
 */
function deidentify_mask(
    string $callingProjectId,
    string $string,
    int $numberToMask = 0,
    string $maskingCharacter = 'x'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The infoTypes of information to mask
    $ssnInfoType = (new InfoType())
        ->setName('US_SOCIAL_SECURITY_NUMBER');
    $infoTypes = [$ssnInfoType];

    // Create the masking configuration object
    $maskConfig = (new CharacterMaskConfig())
        ->setMaskingCharacter($maskingCharacter)
        ->setNumberToMask($numberToMask);

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

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes($infoTypes);

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

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

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

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

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

    // Print the results
    $deidentifiedValue = $response->getItem()->getValue();
    print($deidentifiedValue);
}

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

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

        // Construct a request.
        var transformation = new InfoTypeTransformations.Types.InfoTypeTransformation
        {
            PrimitiveTransformation = new PrimitiveTransformation
            {
                CharacterMaskConfig = new CharacterMaskConfig
                {
                    MaskingCharacter = "*",
                    NumberToMask = 5,
                    ReverseOrder = false,
                }
            }
        };
        var request = new DeidentifyContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            InspectConfig = new InspectConfig
            {
                InfoTypes =
                {
                    new InfoType { Name = "US_SOCIAL_SECURITY_NUMBER" }
                }
            },
            DeidentifyConfig = new DeidentifyConfig
            {
                InfoTypeTransformations = new InfoTypeTransformations
                {
                    Transformations = { transformation }
                }
            },
            Item = new ContentItem { Value = text }
        };

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

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

REST

如需详细了解如何将 DLP API 与 JSON 结合使用，请参阅 JSON 快速入门。

HTTP 方法和网址

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

将 PROJECT_ID 替换为项目 ID。

JSON 输入

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation":{
            "characterMaskConfig":{
              "maskingCharacter":"#",
              "reverseOrder":false,
              "charactersToIgnore":[
                {
                  "charactersToSkip":".@"
                }
              ]
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
  }
}

JSON 输出

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is ##########@#######.###."
  },
  "overview":{
    "transformedBytes":"22",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "characterMaskConfig":{
            "maskingCharacter":"#",
            "charactersToIgnore":[
              {
                "charactersToSkip":".@"
              }
            ]
          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"22"
      }
    ]
  }
}

基于加密的令牌化转换

基于加密的令牌化（也称为“假名化”）转换是指将原始敏感数据值替换为加密值的去标识化方法。Sensitive Data Protection 支持以下类型的令牌化，包括可以逆转并允许重标识的转换：

加密哈希：在给定 CryptoKey 的情况下，敏感数据保护功能会对输入值使用基于 SHA-256 的消息身份验证代码 (HMAC-SHA-256)，然后将输入值替换为以 base64 编码的哈希值。与其他类型的基于加密的转换不同，此类转换不可逆。
保留格式加密：使用 FFX 运算模式的保留格式加密 (FPE) 生成令牌替换输入值。此转换方法会生成一个令牌，该令牌被限制为与输入值的字母系统相同，并且与输入值的长度相同。FPE 还支持在给定原始加密密钥的情况下进行重标识。
确定性加密：使用合成初始化矢量模式下的 AES (AES-SIV) 生成令牌替换输入值。此转换方法对受支持的字符串字符集没有任何限制，为相同输入值的每个实例生成相同令牌，并使用代理在给定原始加密密钥的情况下启用重标识。

加密哈希

加密哈希转换（DLP API 中的 CryptoHashConfig）会获取输入值（Sensitive Data Protection 检测到的敏感数据）并将其替换为哈希值。哈希值是通过利用 CryptoKey 对输入值应用基于 SHA-256 的消息身份验证代码 (HMAC-SHA-256) 生成的。

敏感数据保护功能会输出以 base64 编码表示的哈希输入值来替换原始值。

在使用加密哈希技术转换之前，需要考虑以下方面：

输入值使用哈希处理，而不是加密。
此转换无法逆转。也就是说，即使给定转换的哈希输出值和原始密钥，也无法恢复原始值。
目前，只能对字符串和整数值进行哈希处理。
转换的哈希输出始终具有相同长度，具体取决于密钥的大小。例如，如果您对 10 位电话号码使用加密哈希技术转换，每个电话号码都将被替换为固定长度的 base64 编码的哈希值。

保留格式加密

保留格式加密 (FPE) 转换方法（DLP API 中的 CryptoReplaceFfxFpeConfig）会获取输入值（敏感数据保护功能检测到的敏感数据），使用 FFX 模式下的保留格式加密和 CryptoKey 对其进行加密，然后使用加密值或令牌替换原始值。

输入值需满足以下条件：

必须至少具有两个字符（或为空字符串）。
必须是 ASCII 编码字符。
由按“字母表”指定的字符组成，“字母表”是指允许在输入值中使用的 2 到 95 个字符的集合。如需了解详情，请参阅 CryptoReplaceFfxFpeConfig 中的字母表字段。

生成的令牌：

是加密的输入值。
加密后保留输入值的字符集（“字母表”）和长度。
使用指定加密密钥通过 FFX 模式的保留格式加密计算得出。
不一定是唯一的，因为每个相同的输入值在去标识化后都得到相同的令牌。这实现了参照完整性，可以更高效地搜索去标识化数据。如上下文中所述，您可以使用上下文“调整”来更改此行为。

如果源内容中的一个输入值存在多个实例，则每个实例都将被去标识化为相同令牌。FPE 会保留长度和字母表空间（字符集），字母表空间被限制为 95 个字符。您可以使用上下文“调整”来更改此行为，这可以提高安全性。通过向转换添加上下文调整，敏感数据保护功能可以将相同输入值的多个实例去标识化为不同的令牌。如果您不需要保留原始值的长度和字母表空间，请使用确定性加密，如下所述。

敏感数据保护功能使用加密密钥计算替换令牌。您可通过下述三种方式之一提供此密钥：

将其嵌入 API 请求但不加密。不过，我们不建议您这样做。
请求 Sensitive Data Protection 生成该密钥。
将其嵌入 API 请求并加密。

如果您选择将密钥嵌入 API 请求中，则需要使用 Cloud Key Management Service (Cloud KMS) 密钥创建密钥并对其进行封装（加密）。如需了解详情，请参阅创建封装的密钥。返回的值默认为一个 base64 编码的字符串。如需在敏感数据保护中设置此值，必须将其解码为字节字符串。以下代码段重点介绍了如何使用多种语言执行此操作。在这些代码段之后，还提供了端到端示例。

Java

KmsWrappedCryptoKey.newBuilder()
    .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedKey)))

Python

# The wrapped key is base64-encoded, but the library expects a binary
# string, so decode it here.
import base64
wrapped_key = base64.b64decode(wrapped_key)

PHP

// Create the wrapped crypto key configuration object
$kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
    ->setWrappedKey(base64_decode($wrappedKey))
    ->setCryptoKeyName($keyName);

C#

WrappedKey = ByteString.FromBase64(wrappedKey)

如需详细了解如何使用 Cloud KMS 加密和解密数据，请参阅加密和解密数据。

保留格式加密示例：去标识化

此示例使用 CryptoReplaceFfxFpeConfig 转换方法对敏感数据进行去标识化处理。如需了解详情，请参阅本页面上的保留格式加密。

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
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.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Arrays;

public class DeIdentifyWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "I'm Gary and my SSN is 552096781";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    deIdentifyWithFpe(projectId, textToDeIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void deIdentifyWithFpe(
      String projectId, String textToDeIdentify, String kmsKeyName, String wrappedAesKey)
      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();

      // 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 infoType = InfoType.newBuilder().setName("US_SOCIAL_SECURITY_NUMBER").build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addAllInfoTypes(Arrays.asList(infoType)).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how the info from the inspection should be encrypted.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("SSN_TOKEN").build();
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).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 format-preserving encryption: " + response.getItem().getValue());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 deidentify
// const string = 'My SSN is 372819127';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'ALPHA_NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// (Optional) The name of the surrogate custom info type to use
// Only necessary if you want to reverse the deidentification process
// Can be essentially any arbitrary string, as long as it doesn't appear
// in your dataset otherwise.
// const surrogateType = 'SOME_INFO_TYPE_DEID';

async function deidentifyWithFpe() {
  // Construct FPE config
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    },
    commonAlphabet: alphabet,
  };
  if (surrogateType) {
    cryptoReplaceFfxFpeConfig.surrogateInfoType = {
      name: surrogateType,
    };
  }

  // Construct deidentification request
  const item = {value: string};
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
            },
          },
        ],
      },
    },
    item: item,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  console.log(deidentifiedItem.value);
}
deidentifyWithFpe();

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import base64
from typing import List

import google.cloud.dlp


def deidentify_with_fpe(
    project: str,
    input_str: str,
    info_types: List[str],
    alphabet: str = None,
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string using Format Preserving Encryption (FPE).
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        surrogate_type: The name of the surrogate custom info type to use. Only
            necessary if you want to reverse the deidentification process. Can
            be essentially any arbitrary string, as long as it doesn't appear
            in your dataset otherwise.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
        "common_alphabet": alphabet,
    }

    # Add surrogate type
    if surrogate_type:
        crypto_replace_ffx_fpe_config["surrogate_info_type"] = {"name": surrogate_type}

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

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

    # Convert string to item
    item = {"value": input_str}

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

    # Print results
    print(response.item.value)

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

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

// deidentifyFPE deidentifies the input with FPE (Format Preserving Encryption).
// keyFileName is the file name with the KMS wrapped key and cryptoKeyName is the
// full KMS key resource name used to wrap the key. surrogateInfoType is an
// optional identifier needed for reidentification. surrogateInfoType can be any
// value not found in your input.
// Info types can be found with the infoTypes.list method or on https://cloud.google.com/dlp/docs/infotypes-reference
func deidentifyFPE(w io.Writer, projectID, input string, infoTypeNames []string, kmsKeyName, wrappedAESKey, surrogateInfoType string) error {
	// projectID := "my-project-id"
	// input := "My SSN is 123456789"
	// infoTypeNames := []string{"US_SOCIAL_SECURITY_NUMBER"}
	// kmsKeyName := "projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME"
	// wrappedAESKey := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "AGE"
	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()
	// Convert the info type strings to a list of InfoTypes.
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAESKey)
	if err != nil {
		return err
	}

	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: infoTypes,
		},
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{}, // Match all info types.
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
									CryptoReplaceFfxFpeConfig: &dlppb.CryptoReplaceFfxFpeConfig{
										CryptoKey: &dlppb.CryptoKey{
											Source: &dlppb.CryptoKey_KmsWrapped{
												KmsWrapped: &dlppb.KmsWrappedCryptoKey{
													WrappedKey:    kmsWrappedCryptoKey,
													CryptoKeyName: kmsKeyName,
												},
											},
										},
										// Set the alphabet used for the output.
										Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
											CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_ALPHA_NUMERIC,
										},
										// Set the surrogate info type, used for reidentification.
										SurrogateInfoType: &dlppb.InfoType{
											Name: surrogateInfoType,
										},
									},
								},
							},
						},
					},
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("DeidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
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\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;

/**
 * Deidentify a string using Format-Preserving Encryption (FPE).
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under
 * @param string $string            The string to deidentify
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName
 * @param string $surrogateTypeName (Optional) surrogate custom info type to enable reidentification
 */
function deidentify_fpe(
    string $callingProjectId,
    string $string,
    string $keyName,
    string $wrappedKey,
    string $surrogateTypeName = ''
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The infoTypes of information to mask
    $ssnInfoType = (new InfoType())
        ->setName('US_SOCIAL_SECURITY_NUMBER');
    $infoTypes = [$ssnInfoType];

    // Create the wrapped crypto key configuration object
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // The set of characters to replace sensitive ones with
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/V2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Create the crypto key configuration object
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Create the crypto FFX FPE configuration object
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet);

    if ($surrogateTypeName) {
        $surrogateType = (new InfoType())
            ->setName($surrogateTypeName);
        $cryptoReplaceFfxFpeConfig->setSurrogateInfoType($surrogateType);
    }

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

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes($infoTypes);

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

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

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

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

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

    // Print the results
    $deidentifiedValue = $response->getItem()->getValue();
    print($deidentifiedValue);
}

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class DeidentifyWithFpe
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string dataValue,
        IEnumerable<InfoType> infoTypes,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet)
    {
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
                            {
                                CommonAlphabet = alphabet,
                                CryptoKey = new CryptoKey
                                {
                                    KmsWrapped = new KmsWrappedCryptoKey
                                    {
                                        CryptoKeyName = keyName,
                                        WrappedKey = ByteString.FromBase64 (wrappedKey)
                                    }
                                },
                                SurrogateInfoType = new InfoType
                                {
                                    Name = "TOKEN"
                                }
                            }
                        }
                    }
                }
            }
        };

        var dlp = DlpServiceClient.Create();
        var response = dlp.DeidentifyContent(
            new DeidentifyContentRequest
            {
                Parent = new LocationName(projectId, "global").ToString(),
                InspectConfig = new InspectConfig
                {
                    InfoTypes = { infoTypes }
                },
                DeidentifyConfig = deidentifyConfig,
                Item = new ContentItem { Value = dataValue }
            });

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

保留格式加密示例：使用代理类型进行去标识化

此示例使用 CryptoReplaceFfxFpeConfig 转换方法对敏感数据进行去标识化处理。如需了解详情，请参阅本页面上的保留格式加密。

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

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

// deidentifyFreeTextWithFPEUsingSurrogate de-identifies free text with FPE by using a surrogate
func deidentifyFreeTextWithFPEUsingSurrogate(w io.Writer, projectID, inputStr, infoType, surrogateType, unwrappedKey string) error {
	// projectId := "your-project-id"
	// inputStr := "My phone number is 9824376677"
	// infoType := "PHONE_NUMBER"
	// surrogateType := "PHONE_TOKEN"
	// unwrappedKey := "The base64-encoded AES-256 key to use"

	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()

	// decoding the unwrapped key
	keyDecode, err := base64.StdEncoding.DecodeString(unwrappedKey)
	if err != nil {
		return err
	}

	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: []*dlppb.InfoType{
			{Name: infoType},
		},
		MinLikelihood: dlppb.Likelihood_UNLIKELY,
	}

	// specify the content to be de-identified
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Specify how the content should be encrypted.
	cryptoReplaceConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_Unwrapped{
				Unwrapped: &dlppb.UnwrappedCryptoKey{
					Key: keyDecode,
				},
			},
		},
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateType,
		},
	}

	// Apply crypto replace config to primitive transformation.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
			CryptoReplaceFfxFpeConfig: cryptoReplaceConfig,
		},
	}

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

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: infoTypeTransformation,
		},
		InspectConfig: inspectConfig,
		Item:          contentItem,
	}

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

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

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
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.UnwrappedCryptoKey;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Base64;
import java.util.Collections;
import javax.crypto.KeyGenerator;
import javax.crypto.SecretKey;

public class DeidentifyFreeTextWithFpeUsingSurrogate {

  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 textToDeIdentify = "My phone number is 4359916732";
    // The base64-encoded key to use.
    String base64EncodedKey = "your-base64-encoded-key";

    deIdentifyWithFpeSurrogate(projectId, textToDeIdentify, base64EncodedKey);
  }

  /**
   * Uses the Data Loss Prevention API to deidentify sensitive data in a string using Format
   * Preserving Encryption (FPE).The encryption is performed with an unwrapped key.
   *
   * @param projectId The Google Cloud project id to use as a parent resource.
   * @param textToDeIdentify The string to deidentify.
   * @param unwrappedKey The base64-encoded AES-256 key to use.
   */
  public static String deIdentifyWithFpeSurrogate(
      String projectId, String textToDeIdentify, String unwrappedKey) 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()) {
      // Set the text to be de-identified.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Specify the InfoType the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder()
              .setName("PHONE_NUMBER").build();

      InspectConfig inspectConfig =
          InspectConfig.newBuilder()
                  .addAllInfoTypes(Collections.singletonList(infoType)).build();

      // Specify an unwrapped crypto key.
      UnwrappedCryptoKey unwrappedCryptoKey =
          UnwrappedCryptoKey.newBuilder()
              .setKey(ByteString.copyFrom(BaseEncoding.base64().decode(unwrappedKey)))
              .build();

      CryptoKey cryptoKey = CryptoKey.newBuilder().setUnwrapped(unwrappedCryptoKey).build();

      InfoType surrogateInfoType = InfoType.newBuilder().setName("PHONE_TOKEN").build();

      // Specify how the info from the inspection should be encrypted.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();

      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder()
                  .addTransformations(infoTypeTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder()
                  .setInfoTypeTransformations(transformations).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 de-identification: " + response.getItem().getValue());

      return response.getItem().getValue();
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 de-identify
// const string = 'My phone number is 4359916732';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// InfoTypes
// const infoTypes = [{name: 'PHONE_NUMBER'}];

// Surrogate Type
// const surrogateType = 'PHONE_TOKEN';

// The base64-encoded AES-256 key to use
// const unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==';

async function deidentifyWithFpeSurrogate() {
  // Specify an unwrapped crypto key.
  unwrappedKey = Buffer.from(unwrappedKey, 'base64');

  // Specify how the info from the inspection should be encrypted.
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: {
      unwrapped: {
        key: unwrappedKey,
      },
    },
    commonAlphabet: alphabet,
    surrogateInfoType: {name: surrogateType},
  };

  // Construct the inspect configuration.
  const inspectConfig = {
    infoTypes: infoTypes,
    minLikelihood: DLP.protos.google.privacy.dlp.v2.Likelihood.UNLIKELY,
  };

  // Set the text to be de-identified.
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
            },
          },
        ],
      },
    },
    item: item,
    inspectConfig: inspectConfig,
  };
  // Run de-identification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  // Print results
  console.log(deidentifiedItem.value);
}
deidentifyWithFpeSurrogate();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


/**
 * Deidentify free text with fpe using surrogate.
 * Uses the Data Loss Prevention API to de-identify sensitive data in a string using format-preserving
 * encryption (FPE). The encryption is performed with an unwrapped key.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to deidentify (will be treated as text).
 * @param string $unwrappedKey      The base64-encoded AES-256 key to use.
 * @param string $surrogateTypeName The name of the surrogate custom info type to use.
 * Can be essentially any arbitrary string, as long as it doesn't appear in your dataset otherwise.
 */
function deidentify_free_text_with_fpe_using_surrogate(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string = 'My PHONE NUMBER IS 731997681',
    string $unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==',
    string $surrogateTypeName = 'PHONE_TOKEN'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

    // Specify an unwrapped crypto key.
    $unwrapped = (new UnwrappedCryptoKey())
        ->setKey(base64_decode($unwrappedKey));

    $cryptoKey = (new CryptoKey())
        ->setUnwrapped($unwrapped);

    // Create the surrogate type configuration object.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    // The set of characters to replace sensitive ones with.
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/V2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Specify how to decrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    // The infoTypes of information to mask.
    $infoType = (new InfoType())
        ->setName('PHONE_NUMBER');
    $infoTypes = [$infoType];

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes($infoTypes);

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

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

    // Specify the content to be de-identify.
    $content = (new ContentItem())
        ->setValue($string);

    // Create the configuration object.
    $inspectConfig = (new InspectConfig())
        /* Construct the inspect config, trying to finding all PII with likelihood
        higher than UNLIKELY */
        ->setMinLikelihood(likelihood::UNLIKELY)
        ->setInfoTypes($infoTypes);

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

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import base64

import google.cloud.dlp


def deidentify_free_text_with_fpe_using_surrogate(
    project: str,
    input_str: str,
    alphabet: str = "NUMERIC",
    info_type: str = "PHONE_NUMBER",
    surrogate_type: str = "PHONE_TOKEN",
    unwrapped_key: str = "YWJjZGVmZ2hpamtsbW5vcA==",
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
       string using Format Preserving Encryption (FPE).
       The encryption is performed with an unwrapped key.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        info_type: The name of the info type to de-identify
        surrogate_type: The name of the surrogate custom info type to use. Can
            be essentially any arbitrary string, as long as it doesn't appear
            in your dataset otherwise.
        unwrapped_key: The base64-encoded AES-256 key to use.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    unwrapped_key = base64.b64decode(unwrapped_key)

    # Construct de-identify config
    transformation = {
        "info_types": [{"name": info_type}],
        "primitive_transformation": {
            "crypto_replace_ffx_fpe_config": {
                "crypto_key": {"unwrapped": {"key": unwrapped_key}},
                "common_alphabet": alphabet,
                "surrogate_info_type": {"name": surrogate_type},
            }
        },
    }

    deidentify_config = {
        "info_type_transformations": {"transformations": [transformation]}
    }

    # Construct the inspect config, trying to finding all PII with likelihood
    # higher than UNLIKELY
    inspect_config = {
        "info_types": [{"name": info_type}],
        "min_likelihood": google.cloud.dlp_v2.Likelihood.UNLIKELY,
    }

    # Convert string to item
    item = {"value": input_str}

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

    # Print results
    print(response.item.value)

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class DeidentifyFreeTextWithFpeUsingSurrogate
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        string unwrappedKey,
        IEnumerable<InfoType> infoTypes = null,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Specify the type of info to be inspected and construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            InfoTypes =
            {
                infoTypes ?? new InfoType[]
                {
                    new InfoType { Name = "PHONE_NUMBER" }
                }
            },
            MinLikelihood = Likelihood.Unlikely
        };

        // Construct the crypto replace ffxfpe config by providing the unwrapped crypto key.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CommonAlphabet = alphabet,
            CryptoKey = new CryptoKey
            {
                Unwrapped = new UnwrappedCryptoKey
                {
                    Key = ByteString.FromBase64(unwrappedKey)
                }
            },
            SurrogateInfoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" }
        };

        // Construct the deidentify config using crypto config created above.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig
                        }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

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

        // Check the de-identified content.
        Console.WriteLine($"De-identified content: {response.Item.Value}");
        return response;
    }
}

保留格式加密示例：对表格中的敏感数据进行去标识化

此示例使用 CryptoReplaceFfxFpeConfig 转换方法对表中的敏感数据进行去标识化处理。如需了解详情，请参阅本页面上的保留格式加密。

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class DeidentifyTableWithFpe
{
    public static Table DeidentifyTable(
        string projectId,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        Table tableToInspect = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct the table if null.
        if (tableToInspect == null)
        {
            var row1 = new Value[]
            {
                new Value { StringValue = "11111" },
                new Value { StringValue = "2015" },
                new Value { StringValue = "$10" }
            };
            var row2 = new Value[]
            {
                new Value { StringValue = "33333" },
                new Value { StringValue = "2016" },
                new Value { StringValue = "$20" }
            };
            var row3 = new Value[]
            {
                new Value { StringValue = "22222" },
                new Value { StringValue = "2016" },
                new Value { StringValue = "$15" }
            };

            tableToInspect = new Table
            {
                Headers =
                {
                    new FieldId { Name = "Employee ID" },
                    new FieldId { Name = "Date" },
                    new FieldId { Name = "Compensation" }
                },
                Rows =
                {
                    new Table.Types.Row { Values = { row1 } },
                    new Table.Types.Row { Values = { row2 } },
                    new Table.Types.Row { Values = { row3 } }
                }
            };
        }

        // Provide the table and construct the content item.
        var contentItem = new ContentItem { Table = tableToInspect };

        // Specify an encrypted AES-256 key and the name of the Cloud KMS Key that
        // encrypted it and specify how it should be encrypted.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet
        };

        // Specify fields to be encrypted.
        var fields = new FieldId[] { new FieldId { Name = "Employee ID" } };

        // Construct the deidentify config using crypto replace config created above.
        var deidentifyConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig
                        },
                        Fields = { fields }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            Item = contentItem,
        };

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

        // Inspect the response.
        Console.WriteLine(response.Item.Table);

        return response.Item.Table;
    }
}

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

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

// deidentifyTableFPE de-identifies table data with format preserving encryption.
func deidentifyTableFPE(w io.Writer, projectID string, kmsKeyName, wrappedAESKey string) error {
	// projectId := "your-project-id"
	/* keyFileName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedAESKey := "YOUR_ENCRYPTED_AES_256_KEY"

	// define your table.
	row1 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "11111"}},
			{Type: &dlppb.Value_StringValue{StringValue: "2015"}},
			{Type: &dlppb.Value_StringValue{StringValue: "$10"}},
		},
	}

	row2 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "22222"}},
			{Type: &dlppb.Value_StringValue{StringValue: "2016"}},
			{Type: &dlppb.Value_StringValue{StringValue: "$20"}},
		},
	}

	row3 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "33333"}},
			{Type: &dlppb.Value_StringValue{StringValue: "2016"}},
			{Type: &dlppb.Value_StringValue{StringValue: "$15"}},
		},
	}

	table := &dlppb.Table{
		Headers: []*dlppb.FieldId{
			{Name: "Employee ID"},
			{Name: "Date"},
			{Name: "Compensation"},
		},
		Rows: []*dlppb.Table_Row{
			{Values: row1.Values},
			{Values: row2.Values},
			{Values: row3.Values},
		},
	}

	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 de-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Table{
			Table: table,
		},
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsKeyDecode, err := base64.StdEncoding.DecodeString(wrappedAESKey)
	if err != nil {
		return fmt.Errorf("error in decoding key: %w", err)
	}

	kmsWrappedCryptoKey := &dlppb.KmsWrappedCryptoKey{
		WrappedKey:    kmsKeyDecode,
		CryptoKeyName: kmsKeyName,
	}

	cryptoKey := &dlppb.CryptoKey_KmsWrapped{
		KmsWrapped: kmsWrappedCryptoKey,
	}

	// Specify how the content should be encrypted.
	cryptoReplaceFfxFpeConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: cryptoKey,
		},
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
	}

	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
			CryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
		},
	}

	// Specify field to be encrypted.
	fieldId := &dlppb.FieldId{
		Name: "Employee ID",
	}

	// Associate the encryption with the specified field.
	fieldTransformation := &dlppb.FieldTransformation{
		Fields: []*dlppb.FieldId{
			fieldId,
		},
		Transformation: &dlppb.FieldTransformation_PrimitiveTransformation{
			PrimitiveTransformation: primitiveTransformation,
		},
	}

	transformations := &dlppb.RecordTransformations{
		FieldTransformations: []*dlppb.FieldTransformation{
			fieldTransformation,
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_RecordTransformations{
				RecordTransformations: transformations,
			},
		},
		Item: contentItem,
	}

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

	// Print the results.
	fmt.Fprintf(w, "De-identify Table after format-preserving encryption : %+v", resp.GetItem().GetTable())
	return nil
}

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
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.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Table.Row;
import com.google.privacy.dlp.v2.Value;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class DeIdentifyTableWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    Table tableToDeIdentify =
        Table.newBuilder()
            .addHeaders(FieldId.newBuilder().setName("Employee ID").build())
            .addHeaders(FieldId.newBuilder().setName("Date").build())
            .addHeaders(FieldId.newBuilder().setName("Compensation").build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("11111").build())
                    .addValues(Value.newBuilder().setStringValue("2015").build())
                    .addValues(Value.newBuilder().setStringValue("$10").build())
                    .build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("22222").build())
                    .addValues(Value.newBuilder().setStringValue("2016").build())
                    .addValues(Value.newBuilder().setStringValue("$20").build())
                    .build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("33333").build())
                    .addValues(Value.newBuilder().setStringValue("2016").build())
                    .addValues(Value.newBuilder().setStringValue("$15").build())
                    .build())
            .build();
    deIdentifyTableWithFpe(projectId, tableToDeIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void deIdentifyTableWithFpe(
      String projectId, Table tableToDeIdentify, String kmsKeyName, String wrappedAesKey)
      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 de-identify.
      ContentItem contentItem = ContentItem.newBuilder().setTable(tableToDeIdentify).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how the content should be encrypted.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      // Specify field to be encrypted.
      FieldId fieldId = FieldId.newBuilder().setName("Employee ID").build();

      // Associate the encryption with the specified field.
      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addFields(fieldId)
              .build();
      RecordTransformations transformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(transformations).build();

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

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

      // Print the results.
      System.out.println(
          "Table after format-preserving encryption: " + response.getItem().getTable());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// Table to de-identify
const tablularData = {
  headers: [{name: 'Employee ID'}, {name: 'Date'}, {name: 'Compensation'}],
  rows: [
    {
      values: [
        {stringValue: '11111'},
        {stringValue: '2015'},
        {stringValue: '$10'},
      ],
    },
    {
      values: [
        {stringValue: '22222'},
        {stringValue: '2016'},
        {stringValue: '$20'},
      ],
    },
    {
      values: [
        {stringValue: '33333'},
        {stringValue: '2016'},
        {stringValue: '$15'},
      ],
    },
  ],
};

async function deidentifyTableWithFpe() {
  // Specify field to be encrypted.
  const fieldIds = [{name: 'Employee ID'}];

  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoKeyConfig = {
    kmsWrapped: {
      wrappedKey: wrappedKey,
      cryptoKeyName: keyName,
    },
  };

  // Specify how the content should be encrypted.
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: cryptoKeyConfig,
    commonAlphabet: alphabet,
  };

  // Associate the encryption with the specified field.
  const fieldTransformations = [
    {
      fields: fieldIds,
      primitiveTransformation: {
        cryptoReplaceFfxFpeConfig,
      },
    },
  ];

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

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

  // Print the results.
  console.log(
    `Table after de-identification: ${JSON.stringify(response.item.table)}`
  );
}
await deidentifyTableWithFpe();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;

/**
 * De-identify table data with format-preserving encryption.
 * Demonstrates encrypting sensitive data in a table while maintaining format.
 *

 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $inputCsvFile          The input file(csv) path  to deidentify.
 * @param string $outputCsvFile         The oupt file path to save deidentify content.
 * @param string $encryptedFieldNames   The field to be encrypted.
 * @param string $kmsKeyName            The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
 * Example: key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
 * @param string $wrappedAesKey         The encrypted ('wrapped') AES-256 key to use.

 * */

function deidentify_table_fpe(
    string $callingProjectId,
    string $inputCsvFile,
    string $outputCsvFile,
    string $encryptedFieldNames,
    string $kmsKeyName,
    string $wrappedAesKey
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

    // Read a CSV file.
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects.
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)
            ->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            return (new Value())
                ->setStringValue($csvValue);
        }, explode(',', $csvRow));
        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Construct the table object.
    $tableToDeIdentify = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    // Specify the content to be de-identify.
    $content = (new ContentItem())
        ->setTable($tableToDeIdentify);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedAesKey))
        ->setCryptoKeyName($kmsKeyName);

    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how the content should be encrypted.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet(FfxCommonNativeAlphabet::NUMERIC);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    // Specify field to be encrypted.
    $encryptedFields = array_map(function ($encryptedFieldName) {
        return (new FieldId())
            ->setName($encryptedFieldName);
    }, explode(',', $encryptedFieldNames));

    // Associate the encryption with the specified field.
    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($encryptedFields);

    $recordtransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    $deidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordtransformations);

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

    // Print the results.
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            return $tableValue->getStringValue();
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    printf('Table after format-preserving encryption (File Location): %s', $outputCsvFile);
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

from typing import List

import google.cloud.dlp


def deidentify_table_with_fpe(
    project: str,
    table_header: List[str],
    table_rows: List[List[str]],
    deid_field_names: List[str],
    key_name: str = None,
    wrapped_key: bytes = None,
    alphabet: str = None,
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
      table while maintaining format.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        table_header: List of strings representing table field names.
        table_rows: List of rows representing table data.
        deid_field_names: A list of fields in table to de-identify.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The decrypted ('wrapped', in bytes) AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2/projects.deidentifyTemplates#ffxcommonnativealphabet
    """

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

    # Construct the `table`. For more details on the table schema, please see
    # https://cloud.google.com/dlp/docs/reference/rest/v2/ContentItem#Table
    headers = [{"name": val} for val in table_header]
    rows = []
    for row in table_rows:
        rows.append({"values": [{"string_value": cell_val} for cell_val in row]})

    table = {"headers": headers, "rows": rows}

    # Construct the `item` for table.
    item = {"table": table}

    # Specify fields to be de-identified.
    deid_field_names = [{"name": _i} for _i in deid_field_names]

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name},
        },
        "common_alphabet": alphabet,
    }

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config
                    },
                    "fields": deid_field_names,
                }
            ]
        }
    }

    # 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, "item": item}
    )

    # Print out results.
    print(f"Table after de-identification: {response.item.table}")

保留格式加密示例：重标识

下面是多种语言的示例代码，演示了如何使用敏感数据保护功能重新识别通过 CryptoReplaceFfxFpeConfig 转换方法去标识化的敏感数据。如需了解详情，请参阅本页上的保留格式加密。

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

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

// reidentifyFPE reidentifies the input with FPE (Format Preserving Encryption).
// keyFileName is the file name with the KMS wrapped key and cryptoKeyName is the
// full KMS key resource name used to wrap the key. surrogateInfoType is an
// the identifier used during deidentification.
// Info types can be found with the infoTypes.list method or on https://cloud.google.com/dlp/docs/infotypes-reference
func reidentifyFPE(w io.Writer, projectID, input, kmsKeyName, wrappedAesKey, surrogateInfoType string) error {
	// projectID := "my-project-id"
	// input := "My SSN is 123456789"
	// keyFileName := "projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME"
	// cryptoKeyName := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "AGE"
	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAesKey)
	if err != nil {
		fmt.Fprintf(w, "error %v", err)
		return err
	}

	// Specify the crypto key configuration that will used for encryption.
	cryptoKey := &dlppb.CryptoKey{
		Source: &dlppb.CryptoKey_KmsWrapped{
			KmsWrapped: &dlppb.KmsWrappedCryptoKey{
				WrappedKey:    kmsWrappedCryptoKey,
				CryptoKeyName: kmsKeyName,
			},
		},
	}

	// Create a configured request.
	req := &dlppb.ReidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{},
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
									CryptoReplaceFfxFpeConfig: &dlppb.CryptoReplaceFfxFpeConfig{
										CryptoKey: cryptoKey,
										// Set the alphabet used for the encrypted fields.
										Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
											CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_ALPHA_NUMERIC,
										},
										// Set the surrogate info type used during deidentification.
										SurrogateInfoType: &dlppb.InfoType{
											Name: surrogateInfoType,
										},
									},
								},
							},
						},
					},
				},
			},
		},
		// The InspectConfig must identify the surrogate info type to reidentify.
		InspectConfig: &dlppb.InspectConfig{
			CustomInfoTypes: []*dlppb.CustomInfoType{
				{
					InfoType: &dlppb.InfoType{
						Name: surrogateInfoType,
					},
					Type: &dlppb.CustomInfoType_SurrogateType_{
						SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
					},
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("ReidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.SurrogateType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
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.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class ReIdentifyWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToReIdentify = "My SSN is SSN_TOKEN(9):731997681";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    reIdentifyWithFpe(projectId, textToReIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void reIdentifyWithFpe(
      String projectId, String textToReIdentify, String kmsKeyName, String wrappedAesKey)
      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 re-identify
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();

      // Specify the type of info the inspection will re-identify. This must use the same custom
      // into type that was used as a surrogate during the initial encryption.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("SSN_TOKEN").build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(SurrogateType.getDefaultInstance())
              .build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how to un-encrypt the previously de-identified information
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addInfoTypes(surrogateInfoType)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

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

      // Send the request and receive response from the service
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 reidentify
// const string = 'My SSN is PHONE_TOKEN(9):#########';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'ALPHA_NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use when reidentifying data
// const surrogateType = 'SOME_INFO_TYPE_DEID';

async function reidentifyWithFpe() {
  // Construct deidentification request
  const item = {value: string};
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: {
                cryptoKey: {
                  kmsWrapped: {
                    wrappedKey: wrappedKey,
                    cryptoKeyName: keyName,
                  },
                },
                commonAlphabet: alphabet,
                surrogateInfoType: {
                  name: surrogateType,
                },
              },
            },
          },
        ],
      },
    },
    inspectConfig: {
      customInfoTypes: [
        {
          infoType: {
            name: surrogateType,
          },
          surrogateType: {},
        },
      ],
    },
    item: item,
  };

  // Run reidentification request
  const [response] = await dlp.reidentifyContent(request);
  const reidentifiedItem = response.item;
  console.log(reidentifiedItem.value);
}
reidentifyWithFpe();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\SurrogateType;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
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\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;

/**
 * Reidentify a deidentified string using Format-Preserving Encryption (FPE).
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under
 * @param string $string            The string to reidentify
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName
 * @param string $surrogateTypeName (Optional) Surrogate custom info type to enable reidentification
 */
function reidentify_fpe(
    string $callingProjectId,
    string $string,
    string $keyName,
    string $wrappedKey,
    string $surrogateTypeName
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The infoTypes of information to mask
    $ssnInfoType = (new InfoType())
        ->setName('US_SOCIAL_SECURITY_NUMBER');
    $infoTypes = [$ssnInfoType];

    // The set of characters to replace sensitive ones with
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Create the wrapped crypto key configuration object
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // Create the crypto key configuration object
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Create the surrogate type object
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($surrogateType)
        ->setSurrogateType(new SurrogateType());

    // Create the crypto FFX FPE configuration object
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

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

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

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

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

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

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

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

    // Run request
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results
    $reidentifiedValue = $response->getItem()->getValue();
    print($reidentifiedValue);
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import base64

import google.cloud.dlp


def reidentify_with_fpe(
    project: str,
    input_str: str,
    alphabet: str = None,
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Uses the Data Loss Prevention API to reidentify sensitive data in a
    string that was encrypted by Format Preserving Encryption (FPE).
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        surrogate_type: The name of the surrogate custom info type to used
            during the encryption process.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct Deidentify Config
    reidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": {
                            "crypto_key": {
                                "kms_wrapped": {
                                    "wrapped_key": wrapped_key,
                                    "crypto_key_name": key_name,
                                }
                            },
                            "common_alphabet": alphabet,
                            "surrogate_info_type": {"name": surrogate_type},
                        }
                    }
                }
            ]
        }
    }

    inspect_config = {
        "custom_info_types": [
            {"info_type": {"name": surrogate_type}, "surrogate_type": {}}
        ]
    }

    # Convert string to item
    item = {"value": input_str}

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

    # Print results
    print(response.item.value)

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class ReidentifyContentUsingFpe
{
    public static ReidentifyContentResponse ReidentifyContent(
        string projectId,
        string text,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Specify the type of info the inspection will re-identify. This must use the same custom
        // info type that was used as a surrogate during the initial encryption.
        var infotype = surrogateType ?? new InfoType { Name = "SSN_TOKEN" };

        // Specify how to un-encrypt the previously de-identified information.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet,
            SurrogateInfoType = infotype
        };

        // Construct reidentify config using above created crypto replace config.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig,
                        },
                        InfoTypes = { infotype }
                    }
                }
            }
        };

        // Construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infotype,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            InspectConfig = inspectConfig,
            ReidentifyConfig = reidentifyConfig,
            Item = new ContentItem { Value = text },
        };

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

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

        return response;
    }
}

保留格式加密示例：文本的重标识

下面是多种语言的示例代码，演示了如何使用敏感数据保护功能重新识别通过 CryptoReplaceFfxFpeConfig 转换方法去标识化的敏感文本。如需了解详情，请参阅本页上的保留格式加密。

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class ReidentifyFreeTextFpe
{
    public static ReidentifyContentResponse ReidentifyContent(
        string projectId,
        string text,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct the infoType which will be used as both surrogate type and infoType.
        var infotype = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" };

        // Specify how to un-encrypt the previously de-identified information.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet,
            SurrogateInfoType = infotype
        };

        // Construct re-identify config using the CryptoReplaceFfxFpeConfig transformation method.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig,
                        },
                        InfoTypes = { infotype }
                    }
                }
            }
        };

        // Construct the inspect config using custom infoTypes.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infotype,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            InspectConfig = inspectConfig,
            ReidentifyConfig = reidentifyConfig,
            Item = new ContentItem { Value = text },
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

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

        return response;
    }
}

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

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

// ReidTextDataWithFPE re-identifies text data with FPE
func reidTextDataWithFPE(w io.Writer, projectID, textToReidentify, kmsKeyName, wrappedAESKey, surrogateInfoType string) error {
	// projectId := "my-project-id"
	// textToReidentify := "My SSN is AGE(9):FHKByqA13"
	/* kmsKeyName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedAesKey := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "AGE"

	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 re-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: textToReidentify,
		},
	}

	// Specify the type of info the inspection will re-identify. This must use the same custom
	// into type that was used as a surrogate during the initial encryption.
	infotype := &dlppb.InfoType{
		Name: surrogateInfoType,
	}

	customInfotype := &dlppb.CustomInfoType{
		InfoType: infotype,
		Type: &dlppb.CustomInfoType_SurrogateType_{
			SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
		},
	}

	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			customInfotype,
		},
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAESKey)
	if err != nil {
		return err
	}

	cryptoKey := &dlppb.CryptoKey{
		Source: &dlppb.CryptoKey_KmsWrapped{
			KmsWrapped: &dlppb.KmsWrappedCryptoKey{
				WrappedKey:    kmsWrappedCryptoKey,
				CryptoKeyName: kmsKeyName,
			},
		},
	}

	// Specify how to un-encrypt the previously de-identified information.
	cryptoReplaceFfxFpeConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: cryptoKey,
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_ALPHA_NUMERIC,
		},
		SurrogateInfoType: infotype,
	}

	primitiveTransformation := &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
		CryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
	}

	InfoTypeTransformations := &dlppb.InfoTypeTransformations{
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			{
				PrimitiveTransformation: &dlppb.PrimitiveTransformation{
					Transformation: primitiveTransformation,
				},
				InfoTypes: []*dlppb.InfoType{
					infotype,
				},
			},
		},
	}

	// Combine configurations into a request for the service.
	reidentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: InfoTypeTransformations,
		},
	}

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

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

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

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.SurrogateType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
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.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class ReIdentifyTextWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToReIdentify = "My phone number is PHONE_TOKEN(10):9617256398";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    reIdentifyTextWithFpe(projectId, textToReIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void reIdentifyTextWithFpe(
      String projectId, String textToReIdentify, String kmsKeyName, String wrappedAesKey)
      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 re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();

      // Specify the type of info the inspection will re-identify. This must use the same custom
      // into type that was used as a surrogate during the initial encryption.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("PHONE_NUMBER").build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(SurrogateType.getDefaultInstance())
              .build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how to un-encrypt the previously de-identified information.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addInfoTypes(surrogateInfoType)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

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

      // Send the request and receive response from the service
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 reidentify
// const string = 'My phone number is PHONE_TOKEN(10):9617256398';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use when reidentifying data
// const surrogateType = 'SOME_INFO_TYPE_DEID';

async function reidentifyTextWithFpe() {
  // Construct deidentification request
  const item = {value: string};

  // Construt Crypto Key Configuration
  const cryptoKeyConfig = {
    kmsWrapped: {
      wrappedKey: wrappedKey,
      cryptoKeyName: keyName,
    },
  };

  // Construct primitive transformation configuration
  const primitiveTransformation = {
    cryptoReplaceFfxFpeConfig: {
      cryptoKey: cryptoKeyConfig,
      commonAlphabet: alphabet,
      surrogateInfoType: {
        name: surrogateType,
      },
    },
  };

  // Combine configurations and construct re-identify request
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: primitiveTransformation,
          },
        ],
      },
    },
    inspectConfig: {
      customInfoTypes: [
        {
          infoType: {
            name: surrogateType,
          },
          surrogateType: {},
        },
      ],
    },
    item: item,
  };

  // Run re-identification request
  const [response] = await dlp.reidentifyContent(request);
  const reidentifiedItem = response.item;

  // Print results
  console.log(reidentifiedItem.value);
}
await reidentifyTextWithFpe();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\SurrogateType;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
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\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;

/**
 * Reidentify a deidentified string using Format-Preserving Encryption (FPE).
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to reidentify.
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key.
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName.
 * @param string $surrogateTypeName Surrogate custom info type to enable reidentification.
 */
function reidentify_text_fpe(
    string $callingProjectId,
    string $string,
    string $keyName,
    string $wrappedKey,
    string $surrogateTypeName
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

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

    // Specify the type of info the inspection will re-identify. This must use the same custom
    // into type that was used as a surrogate during the initial encryption.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($surrogateType)
        ->setSurrogateType(new SurrogateType());

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

    // Set of characters in the input text. For more info, see
    // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // Create the crypto key configuration object.
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how to un-encrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

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

    // Create the reidentification configuration object.
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import base64

import google.cloud.dlp


def reidentify_text_with_fpe(
    project: str,
    input_str: str,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """
    Uses the Data Loss Prevention API to re-identify sensitive data in a
    string using Format Preserving Encryption (FPE).
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to re-identify (will be treated as text).
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    """

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

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Specify the type of info the inspection will re-identify.
    # This must use the same custom infoType that was used as a
    # surrogate during the initial encryption.
    surrogate_info_type = {"name": "PHONE_NUMBER"}

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
        "common_alphabet": "NUMERIC",
        "surrogate_info_type": surrogate_info_type,
    }

    # Construct re-identify configuration dictionary
    reidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config,
                    },
                    "info_types": [surrogate_info_type],
                }
            ]
        }
    }

    # Construct inspect configuration dictionary
    inspect_config = {
        "custom_info_types": [{"info_type": surrogate_info_type, "surrogate_type": {}}]
    }

    # 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.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(f"Text after re-identification: {response.item.value}")

保留格式加密示例：使用代理类型重标识

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class ReidentifyFreeTextWithFpeUsingSurrogate
{
    public static ReidentifyContentResponse ReidentifyFreeText(
        string projectId,
        string text,
        string unwrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate dlp client.
        var dlp = DlpServiceClient.Create();

        // Construct the infoType which will be used as surrogate type and infoType both.
        var infoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" };

        // Construct crypto replace config using crypto key name and wrapped key.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                Unwrapped = new UnwrappedCryptoKey
                {
                    Key = ByteString.FromBase64(unwrappedKey)
                }
            },
            CommonAlphabet = alphabet,
            SurrogateInfoType = infoType
        };

        // Construct the re-identify config using crypto replace config.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig
                        }
                    }
                }
            }
        };

        // Construct the inspect config with the help of custom info type.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infoType,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            ReidentifyConfig = reidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Re-identified content: {response.Item.Value}");
        return response;
    }
}

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

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

// reidentifyFreeTextWithFPEUsingSurrogate re-identifies free text with FPE using surrogate
func reidentifyFreeTextWithFPEUsingSurrogate(w io.Writer, projectID, inputStr, surrogateType, unWrappedKey string) error {
	// projectId := "your-project-id"
	// inputStr := "My phone number is PHONE_TOKEN(10):4068372189"
	// surrogateType := "PHONE_TOKEN"
	// unWrappedKey := "hXribiHR6kvVKmj5ptTZLRTj8+u0eBQzwcrEPwyGhe8="

	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()

	// The wrapped key is base64-encoded, but the library expects a binary
	// string, so decode it here.
	keyBytes, err := base64.StdEncoding.DecodeString(unWrappedKey)
	if err != nil {
		return err
	}

	// using the unwrapped key and surrogate info type construct cryptoReplaceConfig
	cryptoReplaceConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_Unwrapped{
				Unwrapped: &dlppb.UnwrappedCryptoKey{
					Key: keyBytes,
				},
			},
		},
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateType,
		},
	}

	// construct infoType transformations
	infoTypeTransformations := &dlppb.InfoTypeTransformations{
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			{
				PrimitiveTransformation: &dlppb.PrimitiveTransformation{
					Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
						CryptoReplaceFfxFpeConfig: cryptoReplaceConfig,
					},
				},
			},
		},
	}

	// construct re-identify config
	reIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: infoTypeTransformations,
		},
	}

	// construct inspect config to pass in req
	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			{
				InfoType: &dlppb.InfoType{
					Name: surrogateType,
				},
				Type: &dlppb.CustomInfoType_SurrogateType_{
					SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: reIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: inputStr,
			},
		},
	}

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

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

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
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.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.privacy.dlp.v2.UnwrappedCryptoKey;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Base64;
import javax.crypto.KeyGenerator;
import javax.crypto.SecretKey;

public class ReidentifyFreeTextWithFpeUsingSurrogate {
  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 textToDeIdentify = "My phone number is 4359916731";
    // The base64-encoded AES-256 key to use.
    String base64EncodedKey = "your-base64-encoded-key";

    // Obtain the de-identified text.
    String textToReIdentify =
        DeidentifyFreeTextWithFpeUsingSurrogate.deIdentifyWithFpeSurrogate(
            projectId, textToDeIdentify, base64EncodedKey);

    reIdentifyWithFpeSurrogate(projectId, textToReIdentify, base64EncodedKey);
  }

  // Re-identifies sensitive data in a string that was encrypted by Format Preserving Encryption
  // (FPE) with surrogate type.
  public static void reIdentifyWithFpeSurrogate(
      String projectId, String textToReIdentify, String unwrappedKey) 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 re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();
      CustomInfoType.SurrogateType surrogateType =
          CustomInfoType.SurrogateType.newBuilder().build();

      // Specify the surrogate type used at time of de-identification.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("PHONE_TOKEN").build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(surrogateType)
              .build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Specify an unwrapped crypto key.
      UnwrappedCryptoKey unwrappedCryptoKey =
          UnwrappedCryptoKey.newBuilder()
              .setKey(ByteString.copyFrom(BaseEncoding.base64().decode(unwrappedKey)))
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setUnwrapped(unwrappedCryptoKey).build();

      // Specify how to decrypt the previously de-identified information.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();

      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setReidentifyConfig(reidentifyConfig)
              .build();
      // Send the request and receive response from the service.
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results.
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 Re-identify
// const string = 'PHONE_TOKEN(10):########';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// InfoTypes
// const infoTypes = [{name: 'PHONE_NUMBER'}];

// Surrogate Type
// const surrogateType = 'PHONE_TOKEN';

// The base64-encoded AES-256 key to use
// const unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==';

async function reidentifyWithFpeSurrogate() {
  // Specify an unwrapped crypto key.
  unwrappedKey = Buffer.from(unwrappedKey, 'base64');

  // Specify how the info from the inspection should be encrypted.
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: {
      unwrapped: {
        key: unwrappedKey,
      },
    },
    commonAlphabet: alphabet,
    surrogateInfoType: {name: surrogateType},
  };

  // Construct the inspect configuration.
  const inspectConfig = {
    customInfoTypes: [
      {
        infoType: {
          name: surrogateType,
        },
        surrogateType: {},
      },
    ],
  };

  // Set the text to be re-identified.
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
            },
          },
        ],
      },
    },
    item: item,
    inspectConfig: inspectConfig,
  };
  // Run re-identification request
  const [response] = await dlp.reidentifyContent(request);
  const reidentifiedItem = response.item;
  // Print results
  console.log(reidentifiedItem.value);
}
reidentifyWithFpeSurrogate();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


/**
 * Re-identify free text with FPE using a surrogate.
 * Uses the Cloud Data Loss Prevention API to re-identify sensitive data in a string that was
 * encrypted by format-preserving encryption (FPE) with a surrogate type. The encryption is
 * performed with an unwrapped key.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to reidentify.
 * @param string $unwrappedKey      The base64-encoded AES-256 key to use.
 * @param string $surrogateTypeName The name of the surrogate custom info type to used during
 * the encryption process.
 */
function reidentify_free_text_with_fpe_using_surrogate(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string,
    string $unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==',
    string $surrogateTypeName = 'PHONE_TOKEN'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

    // Specify an unwrapped crypto key.
    $unwrapped = (new UnwrappedCryptoKey())
        ->setKey(base64_decode($unwrappedKey));

    $cryptoKey = (new CryptoKey())
        ->setUnwrapped($unwrapped);

    // Specify the surrogate type used at time of de-identification.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    // The set of characters to replace sensitive ones with.
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/V2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Specify how to decrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

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

    // Create the reidentification configuration object.
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Create the inspect configuration object.
    // Specify the type of info the inspection will look for.
    $infotype = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($infotype)
        ->setSurrogateType((new SurrogateType()));

    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Specify the content to be re-identify.
    $content = (new ContentItem())
        ->setValue($string);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($content);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import base64

import google.cloud.dlp


def reidentify_free_text_with_fpe_using_surrogate(
    project: str,
    input_str: str,
    alphabet: str = "NUMERIC",
    surrogate_type: str = "PHONE_TOKEN",
    unwrapped_key: str = "YWJjZGVmZ2hpamtsbW5vcA==",
) -> None:
    """Uses the Data Loss Prevention API to reidentify sensitive data in a
    string that was encrypted by Format Preserving Encryption (FPE) with
    surrogate type. The encryption is performed with an unwrapped key.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        surrogate_type: The name of the surrogate custom info type to used
            during the encryption process.
        unwrapped_key: The base64-encoded AES-256 key to use.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    unwrapped_key = base64.b64decode(unwrapped_key)

    # Construct Deidentify Config
    transformation = {
        "primitive_transformation": {
            "crypto_replace_ffx_fpe_config": {
                "crypto_key": {"unwrapped": {"key": unwrapped_key}},
                "common_alphabet": alphabet,
                "surrogate_info_type": {"name": surrogate_type},
            }
        }
    }

    reidentify_config = {
        "info_type_transformations": {"transformations": [transformation]}
    }

    inspect_config = {
        "custom_info_types": [
            {"info_type": {"name": surrogate_type}, "surrogate_type": {}}
        ]
    }

    # Convert string to item
    item = {"value": input_str}

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

    # Print results
    print(response.item.value)

保留格式加密示例：对表格中的敏感数据进行重标识

下面是多种语言的示例代码，演示了如何使用敏感数据保护功能重新识别通过 CryptoReplaceFfxFpeConfig 转换方法去标识化的表格中的敏感数据。如需了解详情，请参阅本页上的保留格式加密。

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class ReidentifyTableDataWithFpe
{
    public static Table ReidentifyTableData(
        string projectId,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        Table tableToInspect = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct the table if null.
        var table = tableToInspect;

        if (table == null)
        {
            var row1 = new Value[]
            {
                new Value { StringValue = "28777" },
                new Value { StringValue = "Justin" }
            };
            var row2 = new Value[]
            {
                new Value { StringValue = "28778" },
                new Value { StringValue = "Gary" }
            };

            table = new Table
            {
                Headers =
                {
                    new FieldId { Name = "Employee ID" },
                    new FieldId { Name = "Employee Name" }
                },
                Rows =
                {
                    new Table.Types.Row { Values = { row1 } },
                    new Table.Types.Row { Values = { row2 } }
                }
            };
        }

        // Construct the content item by providing the table.
        var contentItem = new ContentItem { Table = table };

        // Specify how to decrypt the previously de-identified information.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet
        };

        // Specify the field to be decrypted.
        var fields = new FieldId[] { new FieldId { Name = "Employee ID" } };

        // Construct the re-identify config and specify the transformation.
        var reidentifyConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig,
                        },
                        Fields = { fields }
                    }
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            ReidentifyConfig = reidentifyConfig
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Table after re-identification: {response.Item.Table}");

        return response.Item.Table;
    }
}

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

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

// reidTableDataWithFPE re-identifies table data with FPE
func reidTableDataWithFPE(w io.Writer, projectID, kmsKeyName, wrappedAesKey string) error {
	// projectId := "my-project-id"
	/* kmsKeyName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedAesKey := "YOUR_ENCRYPTED_AES_256_KEY"

	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 table data that needs to be re-identified.
	tableToReIdentify := &dlppb.Table{
		Headers: []*dlppb.FieldId{
			{Name: "Employee ID"},
		},
		Rows: []*dlppb.Table_Row{
			{
				Values: []*dlppb.Value{
					{
						Type: &dlppb.Value_StringValue{
							StringValue: "90511",
						},
					},
				},
			},
		},
	}

	// Specify the content you want to re-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Table{
			Table: tableToReIdentify,
		},
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAesKey)
	if err != nil {
		return err
	}

	cryptoKey := &dlppb.CryptoKey{
		Source: &dlppb.CryptoKey_KmsWrapped{
			KmsWrapped: &dlppb.KmsWrappedCryptoKey{
				WrappedKey:    kmsWrappedCryptoKey,
				CryptoKeyName: kmsKeyName,
			},
		},
	}

	// Specify how to un-encrypt the previously de-identified information.
	cryptoReplaceFfxFpeConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: cryptoKey,
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
	}

	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
			CryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
		},
	}

	// Specify field to be decrypted.
	fieldId := &dlppb.FieldId{
		Name: "Employee ID",
	}

	// Associate the decryption with the specified field.
	fieldTransformation := &dlppb.FieldTransformation{
		Transformation: &dlppb.FieldTransformation_PrimitiveTransformation{
			PrimitiveTransformation: primitiveTransformation,
		},
		Fields: []*dlppb.FieldId{
			fieldId,
		},
	}

	recordTransformations := &dlppb.RecordTransformations{
		FieldTransformations: []*dlppb.FieldTransformation{
			fieldTransformation,
		},
	}

	deidentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_RecordTransformations{
			RecordTransformations: recordTransformations,
		},
	}

	// Combine configurations into a request for the service.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: deidentifyConfig,
		Item:             contentItem,
	}

	// Send the request and receive response from the service.
	resp, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "Table after re-identification : %v", resp.GetItem().GetTable())
	return nil
}

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Table.Row;
import com.google.privacy.dlp.v2.Value;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class ReIdentifyTableWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    Table tableToReIdentify =
        Table.newBuilder()
            .addHeaders(FieldId.newBuilder().setName("Employee ID").build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("28777").build())
                    .build())
            .build();
    reIdentifyTableWithFpe(projectId, tableToReIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void reIdentifyTableWithFpe(
      String projectId, Table tableToReIdentify, String kmsKeyName, String wrappedAesKey)
      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 re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setTable(tableToReIdentify).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how to un-encrypt the previously de-identified information.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      // Specify field to be decrypted.
      FieldId fieldId = FieldId.newBuilder().setName("Employee ID").build();

      // Associate the decryption with the specified field.
      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addFields(fieldId)
              .build();
      RecordTransformations transformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setReidentifyConfig(reidentifyConfig)
              .build();

      // Send the request and receive response from the service
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results
      System.out.println("Table after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'ALPHA_NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use when reidentifying data
// const surrogateType = 'SOME_INFO_TYPE_DEID';

// Table to re-identify
const tablularData = {
  headers: [{name: 'Employee ID'}],
  rows: [{values: [{stringValue: '90511'}]}],
};

async function reidentifyTableWithFpe() {
  // Specify field to be re-identified.
  const fieldIds = [{name: 'Employee ID'}];

  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoKeyConfig = {
    kmsWrapped: {
      wrappedKey: wrappedKey,
      cryptoKeyName: keyName,
    },
  };

  // Associate transformation with crypto key congurations.
  const primitiveTransformation = {
    cryptoReplaceFfxFpeConfig: {
      cryptoKey: cryptoKeyConfig,
      commonAlphabet: alphabet,
    },
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      recordTransformations: {
        fieldTransformations: [
          {
            fields: fieldIds,
            primitiveTransformation: primitiveTransformation,
          },
        ],
      },
    },
    item: {
      table: tablularData,
    },
  };

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

  // Print the results.
  console.log(
    `Table after re-identification: ${JSON.stringify(response.item.table)}`
  );
}
await reidentifyTableWithFpe();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;

/**
 * Re-identify table data with FPE.
 *
 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $inputCsvFile          The input file(csv) path  to reidentify.
 * @param string $outputCsvFile         The oupt file path to save reidentify content.
 * @param string $encryptedFieldNames   The field to be encrypted.
 * @param string $kmsKeyName            The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
 * Example: key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
 * @param string $wrappedAesKey         The encrypted ('wrapped') AES-256 key to use.
 *
 * */

function reidentify_table_fpe(
    string $callingProjectId,
    string $inputCsvFile,
    string $outputCsvFile,
    string $encryptedFieldNames,
    string $kmsKeyName,
    string $wrappedAesKey
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

    // Read a CSV file.
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects.
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)
            ->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            return (new Value())
                ->setStringValue($csvValue);
        }, explode(',', $csvRow));
        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Construct the table object.
    $tableToDeIdentify = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    // Specify the content to be reidentify.
    $content = (new ContentItem())
        ->setTable($tableToDeIdentify);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedAesKey))
        ->setCryptoKeyName($kmsKeyName);

    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how to un-encrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet(FfxCommonNativeAlphabet::NUMERIC);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    // Specify field to be decrypted.
    $encryptedFields = array_map(function ($encryptedFieldName) {
        return (new FieldId())
            ->setName($encryptedFieldName);
    }, explode(',', $encryptedFieldNames));

    // Associate the decryption with the specified field.
    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($encryptedFields);

    $recordtransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    $reidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordtransformations);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setItem($content);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            return $tableValue->getStringValue();
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    printf('Table after re-identification (File Location): %s', $outputCsvFile);
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import base64

from typing import List

import google.cloud.dlp


def reidentify_table_with_fpe(
    project: str,
    table_header: List[str],
    table_rows: List[List[str]],
    reid_field_names: List[str],
    key_name: str = None,
    wrapped_key: bytes = None,
    alphabet: str = None,
) -> None:
    """Uses the Data Loss Prevention API to re-identify sensitive data in a
    table that was encrypted by Format Preserving Encryption (FPE).

    Args:
        project: The Google Cloud project id to use as a parent resource.
        table_header: List of strings representing table field names.
        table_rows: List of rows representing table data.
        reid_field_names: A list of fields in table to re-identify.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The decrypted ('wrapped', in bytes) AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2/projects.deidentifyTemplates#ffxcommonnativealphabet
    """

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

    # Construct the `table`. For more details on the table schema, please see
    # https://cloud.google.com/dlp/docs/reference/rest/v2/ContentItem#Table
    headers = [{"name": val} for val in table_header]
    rows = []
    for row in table_rows:
        rows.append({"values": [{"string_value": cell_val} for cell_val in row]})
    table = {"headers": headers, "rows": rows}

    # Convert table to `item`
    item = {"table": table}

    # Specify fields to be re-identified/decrypted.
    reid_field_names = [{"name": _i} for _i in reid_field_names]

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
        "common_alphabet": alphabet,
    }

    # Construct reidentify configuration dictionary
    reidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config,
                    },
                    "fields": reid_field_names,
                }
            ]
        }
    }

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

    # Call the API.
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "item": item,
        }
    )

    # Print out results.
    print(f"Table after re-identification: {response.item.table}")

确定性加密

DLP API 中的确定性加密转换方法 CryptoDeterministicConfig 会获取输入值（敏感数据保护功能检测到的敏感数据），使用 AES-SIV 和 CryptoKey 对其进行加密，然后使用以 base64 编码表示的加密值替换原始值。

使用确定性加密转换可以更高效地搜索加密数据。

输入值需满足以下条件：

长度不得少于 1 个字符。
没有字符集限制。

生成的令牌：

是以 base64 编码表示的加密值。
加密后不保留输入值的字符集（“alphabet”）或长度。
使用 CryptoKey 通过 SIV 模式的 AES 加密 (AES-SIV) 计算得出。
不一定是唯一的，因为每个相同的输入值在去标识化后都得到相同的令牌。这样可以更高效地搜索加密数据。如上下文中所述，您可以使用上下文“调整”来更改此行为。
生成时添加了前缀，形式为 [SURROGATE_TYPE]([LENGTH]):，其中 [SURROGATE_TYPE] 表示用于说明输入值的代理 infoType，[LENGTH] 指示其字符长度。借助代理，可使用用于去标识化的原始加密密钥来重标识令牌。

以下是使用确定性加密进行去标识化的 JSON 配置示例。请注意，由于我们是对电话号码进行去标识化，所以选择使用“PHONE_SURROGATE”作为描述性代理类型。 [CRYPTO_KEY] 表示从 Cloud KMS 中获取的未封装的加密密钥。

{
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"PHONE_NUMBER"
            }
          ],
          "primitiveTransformation":{
            "cryptoDeterministicConfig":{
              "cryptoKey":{
                "unwrapped":{
                  "key":"[CRYPTO_KEY]"
                }
              },
              "surrogateInfoType":{
                "name":"PHONE_SURROGATE"
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"PHONE_NUMBER"
      }
    ]
  },
  "item":{
    "value":"My phone number is 206-555-0574, call me"
  }
}

使用此转换对字符串“My phone number is 206-555-0574”进行去标识化会产生去标识化的字符串，如下所示：

My phone number is PHONE_SURROGATE(36):ATZBu5OCCSwo+e94xSYnKYljk1OQpkW7qhzx, call me

如需重标识此字符串，您可以使用如下所示的 JSON 请求，其中 [CRYPTO_KEY] 是用于对内容进行去标识化的同一加密密钥。

{
  "reidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"PHONE_SURROGATE"
            }
          ],
          "primitiveTransformation":{
            "cryptoDeterministicConfig":{
              "cryptoKey":{
                "unwrapped":{
                  "key":"[CRYPTO_KEY]"
                }
              },
              "surrogateInfoType":{
                "name":"PHONE_SURROGATE"
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "customInfoTypes":[
      {
        "infoType":{
          "name":"PHONE_SURROGATE"
        },
        "surrogateType":{

        }
      }
    ]
  },
  "item":{
    "value":"My phone number is [PHONE_SURROGATE](36):ATZBu5OCCSwo+e94xSYnKYljk1OQpkW7qhzx, call me"
  }
}

重标识此字符串会生成原始字符串：

My phone number is 206-555-0574, call me

如果您想改用封装（加密）的 CryptoKey 来提高安全性，请参阅快速入门：对敏感文本进行去标识化和重标识中的示例。当您准备好使用客户端库对内容进行去标识化时，请务必解码封装的密钥（默认为 base64 编码的字符串），如本页面的保留格式加密中所示。

确定性加密示例：去标识化

此示例使用 CryptoDeterministicConfig 转换方法对敏感数据进行去标识化处理。如需了解详情，请参阅本页上的确定性加密。

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class DeidentifyWithDeterministic
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        string keyName,
        string wrapperKey,
        InfoType surrogateType = null,
        IEnumerable<InfoType> infoTypes = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct the inspect config by specifying the type of info to be inspected.
        var inspectConfig = new InspectConfig
        {
            InfoTypes =
            {
                infoTypes ?? new InfoType[] { new InfoType { Name = "PHONE_NUMBER" } }
            }
        };

        // Construct the crypto deterministic config by providing key name, wrapped key and surrogate type.
        var cryptoDeterministicConfig = new CryptoDeterministicConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = Google.Protobuf.ByteString.FromBase64(wrapperKey)
                }
            },
            SurrogateInfoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" }
        };


        // Construct the deidentify config using crypto deterministic config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoDeterministicConfig = cryptoDeterministicConfig
                        }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

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

        // Check the de-identified content.
        Console.WriteLine($"De-identified content: {response.Item.Value}");
        return response;
    }
}

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

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

// deIdentifyDeterministicEncryption de-identifies through deterministic encryption
func deIdentifyDeterministicEncryption(w io.Writer, projectID, inputStr string, infoTypeNames []string, keyFileName, cryptoKeyName, surrogateInfoType string) error {
	// projectId := "your-project-id"
	// inputStr := "My SSN is 111111111"
	// infoTypeNames := []string{"US_SOCIAL_SECURITY_NUMBER"}
	/* keyFileName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// cryptoKeyName := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "SSN_TOKEN"

	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 an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	wrappedKey, err := base64.StdEncoding.DecodeString(cryptoKeyName)
	if err != nil {
		return err
	}

	// 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 []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}

	// Specify the key used by the encryption function for deterministic encryption.
	cryptoReplaceDeterministicConfig := &dlppb.CryptoDeterministicConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_KmsWrapped{
				KmsWrapped: &dlppb.KmsWrappedCryptoKey{
					WrappedKey:    wrappedKey,
					CryptoKeyName: keyFileName,
				},
			},
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateInfoType,
		},
	}

	// Specifying the info-types to look for.
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: infoTypes,
	}

	// Specify what content you want the service to de-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Specifying the deterministic crypto.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoDeterministicConfig{
			CryptoDeterministicConfig: cryptoReplaceDeterministicConfig,
		},
	}

	// Construct a de-identification config for de-identify deterministic request.
	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					{
						PrimitiveTransformation: primitiveTransformation,
					},
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item:             contentItem,
	}

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

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

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoDeterministicConfig;
import com.google.privacy.dlp.v2.CryptoKey;
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.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.util.Collections;
import org.apache.commons.codec.binary.Base64;

public class DeIdenitfyWithDeterministicEncryption {

  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 textToDeIdentify = "My SSN is 372819127";
    // The encrypted ('wrapped') AES-256 key to use.
    // This key should be encrypted using the Cloud KMS key specified by key_name.
    String wrappedKey = "YOUR_ENCRYPTED_AES_256_KEY";
    // The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    deIdentifyWithDeterministicEncryption(projectId, textToDeIdentify, wrappedKey, kmsKeyName);
  }

  // De-identifies sensitive data in a string using deterministic encryption. The encryption is
  // performed with a wrapped key.
  public static String deIdentifyWithDeterministicEncryption(
      String projectId, String textToDeIdentify, String wrappedKey, String key) 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 de-identify.
      ContentItem contentItem = ContentItem.newBuilder()
              .setValue(textToDeIdentify)
              .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
      InfoType infoType = InfoType.newBuilder()
              .setName("US_SOCIAL_SECURITY_NUMBER")
              .build();

      InspectConfig inspectConfig = InspectConfig.newBuilder()
                  .addAllInfoTypes(Collections.singletonList(infoType))
                  .build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey unwrappedCryptoKey = KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(
                      Base64.decodeBase64(wrappedKey.getBytes(StandardCharsets.UTF_8))))
              .setCryptoKeyName(key)
              .build();

      CryptoKey cryptoKey = CryptoKey.newBuilder()
              .setKmsWrapped(unwrappedCryptoKey)
              .build();

      // Specify how the info from the inspection should be encrypted.
      InfoType surrogateInfoType = InfoType.newBuilder()
              .setName("SSN_TOKEN")
              .build();

      CryptoDeterministicConfig cryptoDeterministicConfig = CryptoDeterministicConfig.newBuilder()
              .setSurrogateInfoType(surrogateInfoType)
              .setCryptoKey(cryptoKey)
              .build();

      PrimitiveTransformation primitiveTransformation = PrimitiveTransformation.newBuilder()
              .setCryptoDeterministicConfig(cryptoDeterministicConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation infoTypeTransformation =
              InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations = InfoTypeTransformations.newBuilder()
              .addTransformations(infoTypeTransformation)
              .build();

      DeidentifyConfig deidentifyConfig = DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(transformations)
              .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 de-identification: " + response.getItem().getValue());

      return response.getItem().getValue();

    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 deidentify
// const string = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.';

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

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use
// Only necessary if you want to reverse the deidentification process
// Can be essentially any arbitrary string, as long as it doesn't appear
// in your dataset otherwise.
// const surrogateType = 'EMAIL_ADDRESS_TOKEN';

async function deidentifyDeterministic() {
  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoDeterministicEncryption = {
    cryptoKey: {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    },
    surrogateInfoType: {name: surrogateType},
  };

  // Construct inspect configuration to match information
  const inspectConfig = {
    infoTypes,
  };

  // Associate the encryption with the infotype transformation.
  const infoTypeTransformations = {
    transformations: [
      {
        infoTypes,
        primitiveTransformation: {
          cryptoDeterministicConfig: cryptoDeterministicEncryption,
        },
      },
    ],
  };

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

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

  // Run de-identification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;

  // Print results
  console.log(deidentifiedItem.value);
}
await deidentifyDeterministic();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoDeterministicConfig;
use Google\Cloud\Dlp\V2\CryptoKey;
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\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;

/**
 * De-identify content through deterministic encryption.
 * Use the Data Loss Prevention API to de-identify sensitive data in a string using deterministic encryption,
 * which is a reversible cryptographic method. The encryption is performed with a wrapped key.
 *
 * @param string $callingProjectId  The Google Cloud project id to use as a parent resource.
 * @param string $inputString       The string to deidentify (will be treated as text).
 * @param string $kmsKeyName        The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
 * Example: key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'.
 * @param string $infoTypeName      The Info type name to be inspect.
 * @param string $surrogateTypeName The name of the surrogate custom info type to use.
 * Only necessary if you want to reverse the deidentification process. Can be essentially any arbitrary
 * string, as long as it doesn't appear in your dataset otherwise.
 * @param string $wrappedAesKey     The encrypted ('wrapped') AES-256 key to use.
 *
 * */

function deidentify_deterministic(
    string $callingProjectId,
    string $kmsKeyName,
    string $wrappedAesKey,
    string $inputString = 'My PHONE NUMBER IS 731997681',
    string $infoTypeName = 'PHONE_NUMBER',
    string $surrogateTypeName = 'PHONE_TOKEN'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

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

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedAesKey))
        ->setCryptoKeyName($kmsKeyName);

    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how the info from the inspection should be encrypted.
    $cryptoDeterministicConfig = (new CryptoDeterministicConfig())
        ->setCryptoKey($cryptoKey);

    if (!empty($surrogateTypeName)) {
        $cryptoDeterministicConfig = $cryptoDeterministicConfig->setSurrogateInfoType((new InfoType())
            ->setName($surrogateTypeName));
    }

    // Specify the type of info the inspection will look for.
    $infoType = (new InfoType())
        ->setName($infoTypeName);

    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$infoType]);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoDeterministicConfig($cryptoDeterministicConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

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

    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Send the request and receive response from the service.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content)
        ->setInspectConfig($inspectConfig);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import base64
from typing import List

import google.cloud.dlp


def deidentify_with_deterministic(
    project: str,
    input_str: str,
    info_types: List[str],
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Deidentifies sensitive data in a string using deterministic encryption.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
        surrogate_type: The name of the surrogate custom info type to use. Only
            necessary if you want to reverse the deidentification process. Can
            be essentially any arbitrary string, as long as it doesn't appear
            in your dataset otherwise.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct Deterministic encryption configuration dictionary
    crypto_replace_deterministic_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
    }

    # Add surrogate type
    if surrogate_type:
        crypto_replace_deterministic_config["surrogate_info_type"] = {
            "name": surrogate_type
        }

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

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

    # Convert string to item
    item = {"value": input_str}

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

    # Print results
    print(response.item.value)

确定性加密示例：重标识

此示例演示了如何重新识别通过 CryptoDeterministicConfig 转换方法去标识化的敏感数据。如需了解详情，请参阅本页上的确定性加密。

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class ReidentifyContentUsingDeterministic
{
    public static ReidentifyContentResponse ReidentifyDeterministic(
        string projectId,
        string text,
        string keyName,
        string wrappedKey,
        InfoType surrogateType = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct the infoType if null which will be used as surrogate type and infoType both.
        var infoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" };

        // Construct crypto deterministic config using the crypto key name and wrapped key.
        var cryptoDeterministicConfig = new CryptoDeterministicConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            SurrogateInfoType = infoType,
        };

        // Construct the reidentify config using crypto config.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoDeterministicConfig = cryptoDeterministicConfig
                        }
                    }
                }
            }
        };

        // Construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infoType,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            ReidentifyConfig = reidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text },
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

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

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

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

// reidentifyWithDeterministic re-identifies content encrypted by deterministic encryption.
func reidentifyWithDeterministic(w io.Writer, projectID, inputStr, surrogateType, keyName, wrappedKey string) error {
	// projectId := "my-project-id"
	// inputStr := "EMAIL_ADDRESS_TOKEN(52):AVAx2eIEnIQP5jbNEr2j9wLOAd5m4kpSBR/0jjjGdAOmryzZbE/q"
	// surrogateType := "EMAIL_ADDRESS_TOKEN"
	/* keyName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedKey := "YOUR_ENCRYPTED_AES_256_KEY"

	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()

	// The wrapped key is base64-encoded, but the library expects a binary
	// string, so decode it here.
	keyBytes, err := base64.StdEncoding.DecodeString(wrappedKey)
	if err != nil {
		return err
	}

	// Create crypto deterministic config.
	cryptoDeterministicConfig := &dlppb.CryptoDeterministicConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_KmsWrapped{
				KmsWrapped: &dlppb.KmsWrappedCryptoKey{
					WrappedKey:    keyBytes,
					CryptoKeyName: keyName,
				},
			},
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateType,
		},
	}

	// Create a config for primitive transformation.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoDeterministicConfig{
			CryptoDeterministicConfig: cryptoDeterministicConfig,
		},
	}

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

	// Construct config to re-identify the config.
	reIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: transformation,
	}

	// Construct a config for inspection.
	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			{
				InfoType: &dlppb.InfoType{
					Name: surrogateType,
				},
				Type: &dlppb.CustomInfoType_SurrogateType_{
					SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
				},
			},
		},
	}

	// Item to be analyzed.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

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

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

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

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoDeterministicConfig;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import org.apache.commons.codec.binary.Base64;

public class ReidentifyWithDeterministicEncryption {

  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 textToIdentify = "My SSN is 372819127";
    // The encrypted ('wrapped') AES-256 key to use.
    // This key should be encrypted using the Cloud KMS key specified by key_name.
    String wrappedKey = "YOUR_ENCRYPTED_AES_256_KEY";
    // The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    // The string to re-identify.
    String textToReIdentify =
        DeIdenitfyWithDeterministicEncryption.deIdentifyWithDeterministicEncryption(
            projectId, textToIdentify, wrappedKey, kmsKeyName);
    reIdentifyWithDeterminsiticEncryption(projectId, textToReIdentify, wrappedKey, kmsKeyName);
  }

  // Re-identifies sensitive data in a string that was previously de-identified through
  // deterministic encryption.
  public static void reIdentifyWithDeterminsiticEncryption(
      String projectId, String textToReIdentify, String wrappedKey, String key) 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 re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();

      CustomInfoType.SurrogateType surrogateType =
          CustomInfoType.SurrogateType.newBuilder().build();

      // Specify the surrogate type used at time of de-identification.
      InfoType surrogateInfoType = InfoType.newBuilder()
              .setName("SSN_TOKEN")
              .build();

      CustomInfoType customInfoType = CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(surrogateType)
              .build();

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

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey unwrappedCryptoKey = KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(
                  ByteString.copyFrom(
                          Base64.decodeBase64(wrappedKey.getBytes(StandardCharsets.UTF_8))))
              .setCryptoKeyName(key)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder()
              .setKmsWrapped(unwrappedCryptoKey)
              .build();

      CryptoDeterministicConfig cryptoDeterministicConfig = CryptoDeterministicConfig.newBuilder()
              .setSurrogateInfoType(surrogateInfoType)
              .setCryptoKey(cryptoKey)
              .build();

      PrimitiveTransformation primitiveTransformation = PrimitiveTransformation.newBuilder()
              .setCryptoDeterministicConfig(cryptoDeterministicConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations = InfoTypeTransformations.newBuilder()
              .addTransformations(infoTypeTransformation)
              .build();

      DeidentifyConfig deidentifyConfig = DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(transformations)
              .build();

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

      // Send the request and receive response from the service.
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results.
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 deidentify
// const string = 'My name is Alicia Abernathy, and my email address is EMAIL_ADDRESS_TOKEN(52):XXXXXX';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use
// Only necessary if you want to reverse the de-identification process
// Can be essentially any arbitrary string, as long as it doesn't appear
// in your dataset otherwise.
// const surrogateType = 'EMAIL_ADDRESS_TOKEN';

async function reidentifyDeterministic() {
  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoDeterministicEncryption = {
    cryptoKey: {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    },
    surrogateInfoType: {name: surrogateType},
  };

  // Construct custom infotype to match information
  const customInfoTypes = [
    {
      infoType: {
        name: surrogateType,
      },
      surrogateType: {},
    },
  ];

  // Associate the encryption with the infotype transformation.
  const infoTypeTransformations = {
    transformations: [
      {
        infoTypes: [{name: surrogateType}],
        primitiveTransformation: {
          cryptoDeterministicConfig: cryptoDeterministicEncryption,
        },
      },
    ],
  };

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

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

  // Run re-identification request
  const [response] = await dlp.reidentifyContent(request);
  const deidentifiedItem = response.item;

  // Print results
  console.log(deidentifiedItem.value);
}
await reidentifyDeterministic();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoDeterministicConfig;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\SurrogateType;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
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\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;

/**
 * Re-identify content encrypted by deterministic encryption.
 * Re-identify content that was previously de-identified through deterministic encryption.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to reidentify.
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key.
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName.
 * @param string $surrogateTypeName Surrogate custom info type to enable reidentification.
 */
function reidentify_deterministic(
    string $callingProjectId,
    string $string,
    string $surrogateTypeName,
    string $keyName,
    string $wrappedKey
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

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

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

    // Specify the surrogate type used at time of de-identification.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($surrogateType)
        ->setSurrogateType(new SurrogateType());

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

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // Create the crypto key configuration object.
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Create the crypto deterministic configuration object.
    $cryptoDeterministicConfig = (new CryptoDeterministicConfig())
        ->setCryptoKey($cryptoKey)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoDeterministicConfig($cryptoDeterministicConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

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

    // Create the reidentification configuration object.
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import base64

import google.cloud.dlp


def reidentify_with_deterministic(
    project: str,
    input_str: str,
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Re-identifies content that was previously de-identified through deterministic encryption.
    Args:
        project: The Google Cloud project ID to use as a parent resource.
        input_str: The string to be re-identified. Provide the entire token. Example:
            EMAIL_ADDRESS_TOKEN(52):AVAx2eIEnIQP5jbNEr2j9wLOAd5m4kpSBR/0jjjGdAOmryzZbE/q
        surrogate_type: The name of the surrogate custom infoType used
            during the encryption process.
        key_name: The name of the Cloud KMS key used to encrypt ("wrap") the
            AES-256 key. Example:
            keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ("wrapped") AES-256 key previously used to encrypt the content.
            This key must have been encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct reidentify Configuration
    reidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_deterministic_config": {
                            "crypto_key": {
                                "kms_wrapped": {
                                    "wrapped_key": wrapped_key,
                                    "crypto_key_name": key_name,
                                }
                            },
                            "surrogate_info_type": {"name": surrogate_type},
                        }
                    }
                }
            ]
        }
    }

    inspect_config = {
        "custom_info_types": [
            {"info_type": {"name": surrogate_type}, "surrogate_type": {}}
        ]
    }

    # Convert string to item
    item = {"value": input_str}

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

    # Print results
    print(response.item.value)

分桶

分桶转换用于通过将数值数据“分桶”到不同范围来对其进行去标识化处理。生成的数字范围是一个带连字符的字符串，由下限、连字符和上限组成。

固定大小的分桶

敏感数据保护可以根据固定大小的范围（DLP API 中的 FixedSizeBucketingConfig）对数字输入值进行分桶。您可以指定以下内容以配置固定大小的分桶：

所有分桶的下限值。任何小于此下限的值都将全部分组到一个分桶中。
所有分桶的上限值。任何大于此上限的值都将全部分组到一个分桶中。
每个分桶的大小（最小和最大分桶除外）。

例如，如果下限设置为 10，上限设置为 89，分桶大小设置为 10，则将使用以下分桶：-10、10-20、20-30、30-40、40-50、50-60、60-70、70-80、80-89、89+。

要详细了解分桶的概念，请参阅泛化和分桶。

可自定义的分桶

与固定大小的分桶相比，可自定义的分桶（DLP API 中的 BucketingConfig）具有更大的灵活性。您无需指定上限值、下限值和用于创建等大分桶的间隔值，而只需为要创建的每个分桶指定最大值和最小值。每个最大值和最小值对必须具有相同类型。

可以通过指定各个分桶来设置可自定义的分桶。每个分桶具有以下属性：

分桶范围的下限。省略此值可创建没有下限的分桶。
分桶范围的上限。省略此值可创建没有上限的分桶。
此分桶范围的替换值。该值用于替换介于下限与上限之间的所有检测到的值。如果未提供替换值，则会生成带连字符的最小-最大范围。

例如，请考虑以下针对此分桶转换的 JSON 配置：

"bucketingConfig":{
  "buckets":[
    {
      "min":{
        "integerValue":"1"
      },
      "max":{
        "integerValue":"30"
      },
      "replacementValue":{
        "stringValue":"LOW"
      }
    },
    {
      "min":{
        "integerValue":"31"
      },
      "max":{
        "integerValue":"65"
      },
      "replacementValue":{
        "stringValue":"MEDIUM"
      }
    },
    {
      "min":{
        "integerValue":"66"
      },
      "max":{
        "integerValue":"100"
      },
      "replacementValue":{
        "stringValue":"HIGH"
      }
    }
  ]
}

这会定义以下行为：

遮盖 1 至 30 的整数值的方式是将它们替换为 LOW。
遮盖 31 至 65 的整数值的方式是将它们替换为 MEDIUM。
66 至 100 之间的整数值替换为 HIGH，从而进行遮罩。

要详细了解分桶的概念，请参阅泛化和分桶。

日期偏移

在对日期输入值使用日期偏移转换（DLP API 中的 DateShiftConfig）时，敏感数据保护功能会按随机天数偏移日期。

日期偏移技术会随机偏移一组日期，但保留一段时间内的顺序和持续时间。通常在个人或实体的上下文中完成偏移日期。也就是说，您要按同一偏移差分偏移特定个人的所有日期，但对每个人使用不同的偏移差分。

要详细了解日期偏移，请参阅日期偏移。

下面是多种语言的示例代码，演示了如何通过 Cloud DLP API 使用日期偏移对日期进行去标识化。

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.base.Splitter;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DateShiftConfig;
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.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Value;
import com.google.type.Date;
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.time.LocalDate;
import java.time.format.DateTimeFormatter;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

public class DeIdentifyWithDateShift {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    Path inputCsvFile = Paths.get("path/to/your/input/file.csv");
    Path outputCsvFile = Paths.get("path/to/your/output/file.csv");
    deIdentifyWithDateShift(projectId, inputCsvFile, outputCsvFile);
  }

  public static void deIdentifyWithDateShift(
      String projectId, Path inputCsvFile, Path outputCsvFile) 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()) {
      // Read the contents of the CSV file into a Table
      List<FieldId> headers;
      List<Table.Row> rows;
      try (BufferedReader input = Files.newBufferedReader(inputCsvFile)) {
        // Parse and convert the first line into header names
        headers =
            Arrays.stream(input.readLine().split(","))
                .map(header -> FieldId.newBuilder().setName(header).build())
                .collect(Collectors.toList());
        // Parse the remainder of the file as Table.Rows
        rows =
            input.lines().map(DeIdentifyWithDateShift::parseLineAsRow).collect(Collectors.toList());
      }
      Table table = Table.newBuilder().addAllHeaders(headers).addAllRows(rows).build();
      ContentItem item = ContentItem.newBuilder().setTable(table).build();

      // Set the maximum days to shift dates backwards (lower bound) or forward (upper bound)
      DateShiftConfig dateShiftConfig =
          DateShiftConfig.newBuilder().setLowerBoundDays(5).setUpperBoundDays(5).build();
      PrimitiveTransformation transformation =
          PrimitiveTransformation.newBuilder().setDateShiftConfig(dateShiftConfig).build();
      // Specify which fields the DateShift should apply too
      List<FieldId> dateFields = Arrays.asList(headers.get(1), headers.get(3));
      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .addAllFields(dateFields)
              .setPrimitiveTransformation(transformation)
              .build();
      RecordTransformations recordTransformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();
      // Specify the config for the de-identify request
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(recordTransformations).build();

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

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

      // Write the results to the target CSV file
      try (BufferedWriter writer = Files.newBufferedWriter(outputCsvFile)) {
        Table outTable = response.getItem().getTable();
        String headerOut =
            outTable.getHeadersList().stream()
                .map(FieldId::getName)
                .collect(Collectors.joining(","));
        writer.write(headerOut + "\n");

        List<String> rowOutput =
            outTable.getRowsList().stream()
                .map(row -> joinRow(row.getValuesList()))
                .collect(Collectors.toList());
        for (String line : rowOutput) {
          writer.write(line + "\n");
        }
        System.out.println("Content written to file: " + outputCsvFile.toString());
      }
    }
  }

  // Convert the string from the csv file into com.google.type.Date
  public static Date parseAsDate(String s) {
    LocalDate date = LocalDate.parse(s, DateTimeFormatter.ofPattern("MM/dd/yyyy"));
    return Date.newBuilder()
        .setDay(date.getDayOfMonth())
        .setMonth(date.getMonthValue())
        .setYear(date.getYear())
        .build();
  }

  // Each row is in the format: Name,BirthDate,CreditCardNumber,RegisterDate
  public static Table.Row parseLineAsRow(String line) {
    List<String> values = Splitter.on(",").splitToList(line);
    Value name = Value.newBuilder().setStringValue(values.get(0)).build();
    Value birthDate = Value.newBuilder().setDateValue(parseAsDate(values.get(1))).build();
    Value creditCardNumber = Value.newBuilder().setStringValue(values.get(2)).build();
    Value registerDate = Value.newBuilder().setDateValue(parseAsDate(values.get(3))).build();
    return Table.Row.newBuilder()
        .addValues(name)
        .addValues(birthDate)
        .addValues(creditCardNumber)
        .addValues(registerDate)
        .build();
  }

  public static String formatDate(Date d) {
    return String.format("%s/%s/%s", d.getMonth(), d.getDay(), d.getYear());
  }

  public static String joinRow(List<Value> values) {
    String name = values.get(0).getStringValue();
    String birthDate = formatDate(values.get(1).getDateValue());
    String creditCardNumber = values.get(2).getStringValue();
    String registerDate = formatDate(values.get(3).getDateValue());
    return String.join(",", name, birthDate, creditCardNumber, registerDate);
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

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

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

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

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

// The path to the CSV file to deidentify
// The first row of the file must specify column names, and all other rows
// must contain valid values
// const inputCsvFile = '/path/to/input/file.csv';

// The path to save the date-shifted CSV file to
// const outputCsvFile = '/path/to/output/file.csv';

// The list of (date) fields in the CSV file to date shift
// const dateFields = [{ name: 'birth_date'}, { name: 'register_date' }];

// The maximum number of days to shift a date backward
// const lowerBoundDays = 1;

// The maximum number of days to shift a date forward
// const upperBoundDays = 1;

// (Optional) The column to determine date shift amount based on
// If this is not specified, a random shift amount will be used for every row
// If this is specified, then 'wrappedKey' and 'keyName' must also be set
// const contextFieldId = [{ name: 'user_id' }];

// (Optional) The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// If this is specified, then 'wrappedKey' and 'contextFieldId' must also be set
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// (Optional) The encrypted ('wrapped') AES-256 key to use when shifting dates
// This key should be encrypted using the Cloud KMS key specified above
// If this is specified, then 'keyName' and 'contextFieldId' must also be set
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// Helper function for converting CSV rows to Protobuf types
const rowToProto = row => {
  const values = row.split(',');
  const convertedValues = values.map(value => {
    if (Date.parse(value)) {
      const date = new Date(value);
      return {
        dateValue: {
          year: date.getFullYear(),
          month: date.getMonth() + 1,
          day: date.getDate(),
        },
      };
    } else {
      // Convert all non-date values to strings
      return {stringValue: value.toString()};
    }
  });
  return {values: convertedValues};
};

async function deidentifyWithDateShift() {
  // Read and parse a CSV file
  const csvLines = fs
    .readFileSync(inputCsvFile)
    .toString()
    .split('\n')
    .filter(line => line.includes(','));
  const csvHeaders = csvLines[0].split(',');
  const csvRows = csvLines.slice(1);

  // Construct the table object
  const tableItem = {
    table: {
      headers: csvHeaders.map(header => {
        return {name: header};
      }),
      rows: csvRows.map(row => rowToProto(row)),
    },
  };

  // Construct DateShiftConfig
  const dateShiftConfig = {
    lowerBoundDays: lowerBoundDays,
    upperBoundDays: upperBoundDays,
  };

  if (contextFieldId && keyName && wrappedKey) {
    dateShiftConfig.context = {name: contextFieldId};
    dateShiftConfig.cryptoKey = {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    };
  } else if (contextFieldId || keyName || wrappedKey) {
    throw new Error(
      'You must set either ALL or NONE of {contextFieldId, keyName, wrappedKey}!'
    );
  }

  // Construct deidentification request
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      recordTransformations: {
        fieldTransformations: [
          {
            fields: dateFields,
            primitiveTransformation: {
              dateShiftConfig: dateShiftConfig,
            },
          },
        ],
      },
    },
    item: tableItem,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const tableRows = response.item.table.rows;

  // Write results to a CSV file
  tableRows.forEach((row, rowIndex) => {
    const rowValues = row.values.map(
      value =>
        value.stringValue ||
        `${value.dateValue.month}/${value.dateValue.day}/${value.dateValue.year}`
    );
    csvLines[rowIndex + 1] = rowValues.join(',');
  });
  csvLines.push('');
  fs.writeFileSync(outputCsvFile, csvLines.join('\n'));

  // Print status
  console.log(`Successfully saved date-shift output to ${outputCsvFile}`);
}

deidentifyWithDateShift();

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import base64
import csv
from datetime import datetime
from typing import List

import google.cloud.dlp
from google.cloud.dlp_v2 import types


def deidentify_with_date_shift(
    project: str,
    input_csv_file: str = None,
    output_csv_file: str = None,
    date_fields: List[str] = None,
    lower_bound_days: int = None,
    upper_bound_days: int = None,
    context_field_id: str = None,
    wrapped_key: str = None,
    key_name: str = None,
) -> None:
    """Uses the Data Loss Prevention API to deidentify dates in a CSV file by
        pseudorandomly shifting them.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_csv_file: The path to the CSV file to deidentify. The first row
            of the file must specify column names, and all other rows must
            contain valid values.
        output_csv_file: The path to save the date-shifted CSV file.
        date_fields: The list of (date) fields in the CSV file to date shift.
            Example: ['birth_date', 'register_date']
        lower_bound_days: The maximum number of days to shift a date backward
        upper_bound_days: The maximum number of days to shift a date forward
        context_field_id: (Optional) The column to determine date shift amount
            based on. If this is not specified, a random shift amount will be
            used for every row. If this is specified, then 'wrappedKey' and
            'keyName' must also be set. Example:
            contextFieldId = [{ 'name': 'user_id' }]
        key_name: (Optional) The name of the Cloud KMS key used to encrypt
            ('wrap') the AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: (Optional) The encrypted ('wrapped') AES-256 key to use.
            This key should be encrypted using the Cloud KMS key specified by
            key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

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

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

    # Convert date field list to Protobuf type
    def map_fields(field: str) -> dict:
        return {"name": field}

    if date_fields:
        date_fields = map(map_fields, date_fields)
    else:
        date_fields = []

    f = []
    with open(input_csv_file) as csvfile:
        reader = csv.reader(csvfile)
        for row in reader:
            f.append(row)

    #  Helper function for converting CSV rows to Protobuf types
    def map_headers(header: str) -> dict:
        return {"name": header}

    def map_data(value: str) -> dict:
        try:
            date = datetime.strptime(value, "%m/%d/%Y")
            return {
                "date_value": {"year": date.year, "month": date.month, "day": date.day}
            }
        except ValueError:
            return {"string_value": value}

    def map_rows(row: str) -> dict:
        return {"values": map(map_data, row)}

    # Using the helper functions, convert CSV rows to protobuf-compatible
    # dictionaries.
    csv_headers = map(map_headers, f[0])
    csv_rows = map(map_rows, f[1:])

    # Construct the table dict
    table_item = {"table": {"headers": csv_headers, "rows": csv_rows}}

    # Construct date shift config
    date_shift_config = {
        "lower_bound_days": lower_bound_days,
        "upper_bound_days": upper_bound_days,
    }

    # If using a Cloud KMS key, add it to the date_shift_config.
    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    if context_field_id and key_name and wrapped_key:
        date_shift_config["context"] = {"name": context_field_id}
        date_shift_config["crypto_key"] = {
            "kms_wrapped": {
                "wrapped_key": base64.b64decode(wrapped_key),
                "crypto_key_name": key_name,
            }
        }
    elif context_field_id or key_name or wrapped_key:
        raise ValueError(
            """You must set either ALL or NONE of
        [context_field_id, key_name, wrapped_key]!"""
        )

    # Construct Deidentify Config
    deidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "fields": date_fields,
                    "primitive_transformation": {
                        "date_shift_config": date_shift_config
                    },
                }
            ]
        }
    }

    # Write to CSV helper methods
    def write_header(header: types.storage.FieldId) -> str:
        return header.name

    def write_data(data: types.storage.Value) -> str:
        return data.string_value or "{}/{}/{}".format(
            data.date_value.month,
            data.date_value.day,
            data.date_value.year,
        )

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

    # Write results to CSV file
    with open(output_csv_file, "w") as csvfile:
        write_file = csv.writer(csvfile, delimiter=",")
        write_file.writerow(map(write_header, response.item.table.headers))
        for row in response.item.table.rows:
            write_file.writerow(map(write_data, row.values))
    # Print status
    print(f"Successfully saved date-shift output to {output_csv_file}")

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

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

// deidentifyDateShift shifts dates found in the input between lowerBoundDays and
// upperBoundDays.
func deidentifyDateShift(w io.Writer, projectID string, lowerBoundDays, upperBoundDays int32, input string) error {
	// projectID := "my-project-id"
	// lowerBoundDays := -1
	// upperBound := -1
	// input := "2016-01-10"
	// Will print "2016-01-09"
	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()
	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{}, // Match all info types.
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_DateShiftConfig{
									DateShiftConfig: &dlppb.DateShiftConfig{
										LowerBoundDays: lowerBoundDays,
										UpperBoundDays: upperBoundDays,
									},
								},
							},
						},
					},
				},
			},
		},
		// The InspectConfig is used to identify the DATE fields.
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: []*dlppb.InfoType{
				{
					Name: "DATE",
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("DeidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

use DateTime;
use Exception;
use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\DateShiftConfig;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;
use Google\Type\Date;

/**
 * Deidentify dates in a CSV file by pseudorandomly shifting them.
 * If contextFieldName is not specified, a random shift amount will be used for every row.
 * If contextFieldName is specified, then 'wrappedKey' and 'keyName' must also be set.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under
 * @param string $inputCsvFile      The path to the CSV file to deidentify
 * @param string $outputCsvFile     The path to save the date-shifted CSV file to
 * @param string $dateFieldNames    The comma-separated list of (date) fields in the CSV file to date shift
 * @param int    $lowerBoundDays    The maximum number of days to shift a date backward
 * @param int    $upperBoundDays    The maximum number of days to shift a date forward
 * @param string $contextFieldName  (Optional) The column to determine date shift amount based on
 * @param string $keyName           (Optional) The encrypted ('wrapped') AES-256 key to use when shifting dates
 * @param string $wrappedKey        (Optional) The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key
 */
function deidentify_dates(
    string $callingProjectId,
    string $inputCsvFile,
    string $outputCsvFile,
    string $dateFieldNames,
    int $lowerBoundDays,
    int $upperBoundDays,
    string $contextFieldName = '',
    string $keyName = '',
    string $wrappedKey = ''
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Read a CSV file
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            if ($csvDate = DateTime::createFromFormat('m/d/Y', $csvValue)) {
                $date = (new Date())
                    ->setYear((int) $csvDate->format('Y'))
                    ->setMonth((int) $csvDate->format('m'))
                    ->setDay((int) $csvDate->format('d'));
                return (new Value())
                    ->setDateValue($date);
            } else {
                return (new Value())
                    ->setStringValue($csvValue);
            }
        }, explode(',', $csvRow));

        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Convert date fields into protobuf objects
    $dateFields = array_map(function ($dateFieldName) {
        return (new FieldId())->setName($dateFieldName);
    }, explode(',', $dateFieldNames));

    // Construct the table object
    $table = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    $item = (new ContentItem())
        ->setTable($table);

    // Construct dateShiftConfig
    $dateShiftConfig = (new DateShiftConfig())
        ->setLowerBoundDays($lowerBoundDays)
        ->setUpperBoundDays($upperBoundDays);

    if ($contextFieldName && $keyName && $wrappedKey) {
        $contextField = (new FieldId())
            ->setName($contextFieldName);

        // Create the wrapped crypto key configuration object
        $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
            ->setWrappedKey(base64_decode($wrappedKey))
            ->setCryptoKeyName($keyName);

        $cryptoKey = (new CryptoKey())
            ->setKmsWrapped($kmsWrappedCryptoKey);

        $dateShiftConfig
            ->setContext($contextField)
            ->setCryptoKey($cryptoKey);
    } elseif ($contextFieldName || $keyName || $wrappedKey) {
        throw new Exception('You must set either ALL or NONE of {$contextFieldName, $keyName, $wrappedKey}!');
    }

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

    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($dateFields);

    $recordTransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

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

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

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

    // Check for errors
    foreach ($response->getOverview()->getTransformationSummaries() as $summary) {
        foreach ($summary->getResults() as $result) {
            if ($details = $result->getDetails()) {
                printf('Error: %s' . PHP_EOL, $details);
                return;
            }
        }
    }

    // Save the results to a file
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            if ($tableValue->getStringValue()) {
                return $tableValue->getStringValue();
            }
            $protoDate = $tableValue->getDateValue();
            $date = mktime(0, 0, 0, $protoDate->getMonth(), $protoDate->getDay(), $protoDate->getYear());
            return strftime('%D', $date);
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    fclose($csvRef);
    printf('Deidentified dates written to %s' . PHP_EOL, $outputCsvFile);
}

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class DeidentifyWithDateShift
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string inputCsvFilePath,
        int lowerBoundDays,
        int upperBoundDays,
        string dateFields,
        string contextField,
        string keyName,
        string wrappedKey)
    {
        var hasKeyName = !string.IsNullOrEmpty(keyName);
        var hasWrappedKey = !string.IsNullOrEmpty(wrappedKey);
        var hasContext = !string.IsNullOrEmpty(contextField);
        bool allFieldsSet = hasKeyName && hasWrappedKey && hasContext;
        bool noFieldsSet = !hasKeyName && !hasWrappedKey && !hasContext;
        if (!(allFieldsSet || noFieldsSet))
        {
            throw new ArgumentException("Must specify ALL or NONE of: {contextFieldId, keyName, wrappedKey}!");
        }

        var dlp = DlpServiceClient.Create();

        // Read file
        var csvLines = File.ReadAllLines(inputCsvFilePath);
        var csvHeaders = csvLines[0].Split(',');
        var csvRows = csvLines.Skip(1).ToArray();

        // Convert dates to protobuf format, and everything else to a string
        var protoHeaders = csvHeaders.Select(header => new FieldId { Name = header });
        var protoRows = csvRows.Select(csvRow =>
        {
            var rowValues = csvRow.Split(',');
            var protoValues = rowValues.Select(rowValue =>
               System.DateTime.TryParse(rowValue, out var parsedDate)
               ? new Value { DateValue = Google.Type.Date.FromDateTime(parsedDate) }
               : new Value { StringValue = rowValue });

            var rowObject = new Table.Types.Row();
            rowObject.Values.Add(protoValues);
            return rowObject;
        });

        var dateFieldList = dateFields
            .Split(',')
            .Select(field => new FieldId { Name = field });

        // Construct + execute the request
        var dateShiftConfig = new DateShiftConfig
        {
            LowerBoundDays = lowerBoundDays,
            UpperBoundDays = upperBoundDays
        };

        dateShiftConfig.Context = new FieldId { Name = contextField };
        dateShiftConfig.CryptoKey = new CryptoKey
        {
            KmsWrapped = new KmsWrappedCryptoKey
            {
                WrappedKey = ByteString.FromBase64(wrappedKey),
                CryptoKeyName = keyName
            }
        };

        var deidConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            DateShiftConfig = dateShiftConfig
                        },
                        Fields = { dateFieldList }
                    }
                }
            }
        };

        var response = dlp.DeidentifyContent(
            new DeidentifyContentRequest
            {
                Parent = new LocationName(projectId, "global").ToString(),
                DeidentifyConfig = deidConfig,
                Item = new ContentItem
                {
                    Table = new Table
                    {
                        Headers = { protoHeaders },
                        Rows = { protoRows }
                    }
                }
            });

        return response;
    }
}

时间提取

执行时间提取（DLP API 中的 TimePartConfig）对象会保留日期、时间或时间戳匹配值的一部分。您应向敏感数据保护功能指定要提取的时间值类型，包括年、月、日等（在 TimePart 对象中枚举）。

例如，假设您已通过将要提取的时间部分设为 YEAR 来配置 timePartConfig 转换。在将下方第一列中的数据发送到敏感数据保护功能后，您最终将获得第二列中显示的转换后的值：

原始值	转换后的值
`9/21/1976`	`1976`
`6/7/1945`	`1945`
`1/20/2009`	`2009`
`7/4/1776`	`1776`
`8/1/1984`	`1984`
`4/21/1982`	`1982`

C#

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


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

public class DeidentifyWithTimeExtraction
{
    public static Table Deidentify(
        string projectId,
        Table tableToInspect = null)
    {
        // Instantiate the dlp client.
        var dlp = DlpServiceClient.Create();

        // Construct the table if null.
        if (tableToInspect == null)
        {
            var row1 = new Value[]
            {
                new Value
                {
                    DateValue = new Google.Type.Date { Day = 10, Month = 6, Year = 2020 }
                }
            };
            var row2 = new Value[]
            {
                new Value
                {
                    DateValue = new Google.Type.Date { Day = 23, Month = 12, Year = 2022 }
                }
            };
            var row3 = new Value[]
            {
                new Value
                {
                    DateValue = new Google.Type.Date { Day = 1, Month = 1, Year = 2023 }
                }
            };

            tableToInspect = new Table
            {
                Headers = { new FieldId { Name = "Date" } },
                Rows =
                {
                    new Table.Types.Row { Values = { row1 } },
                    new Table.Types.Row { Values = { row2 } },
                    new Table.Types.Row { Values = { row3 } }
                }
            };
        }

        // Construct the table content item.
        var contentItem = new ContentItem { Table = tableToInspect };

        // Construct the time part config to deidentify specific value from the date.
        var timePartConfig = new TimePartConfig
        {
            PartToExtract = TimePartConfig.Types.TimePart.Year
        };

        // Construct the deidentify config using time part config created above.
        var deidentifyConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            TimePartConfig = timePartConfig
                        }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            Item = contentItem
        };

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

        // Inspect the response.
        Console.Write(response.Item.Table);

        return response.Item.Table;
    }
}

Go

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

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

// deIdentifyTimeExtract De-identifies a table by extracting specific parts
// of the time (year in this case) from designated fields.
func deIdentifyTimeExtract(w io.Writer, projectID string) error {

	row1 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "Ann"}},
			{Type: &dlppb.Value_StringValue{StringValue: "01/01/1970"}},
			{Type: &dlppb.Value_StringValue{StringValue: "4532908762519852"}},
			{Type: &dlppb.Value_StringValue{StringValue: "07/21/1996"}},
		},
	}

	row2 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "James"}},
			{Type: &dlppb.Value_StringValue{StringValue: "03/06/1988"}},
			{Type: &dlppb.Value_StringValue{StringValue: "4301261899725540"}},
			{Type: &dlppb.Value_StringValue{StringValue: "04/09/2001"}},
		},
	}

	// Specify the table to de-identify.
	tableToDeidentify := &dlppb.Table{
		Headers: []*dlppb.FieldId{
			{Name: "Name"},
			{Name: "Birth Date"},
			{Name: "Credit Card"},
			{Name: "Register Date"},
		},
		Rows: []*dlppb.Table_Row{
			{Values: row1.Values},
			{Values: row2.Values},
		},
	}

	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 de-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Table{
			Table: tableToDeidentify,
		},
	}

	// Specify the time part to extract.
	timePartConfig := &dlppb.PrimitiveTransformation_TimePartConfig{
		TimePartConfig: &dlppb.TimePartConfig{
			PartToExtract: dlppb.TimePartConfig_YEAR,
		},
	}

	transformation := &dlppb.PrimitiveTransformation{
		Transformation: timePartConfig,
	}

	// Specify which fields the TimePart should apply too.
	dateFields := []*dlppb.FieldId{
		{Name: "Birth Date"},
		{Name: "Register Date"},
	}

	fieldTransformation := &dlppb.FieldTransformation{
		Fields: dateFields,
		Transformation: &dlppb.FieldTransformation_PrimitiveTransformation{
			PrimitiveTransformation: transformation,
		},
	}

	recordTransformations := []*dlppb.RecordTransformations{
		{
			FieldTransformations: []*dlppb.FieldTransformation{
				fieldTransformation,
			},
		},
	}

	// Specify the config for the de-identify request.
	deidentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_RecordTransformations{
			RecordTransformations: recordTransformations[0],
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deidentifyConfig,
		Item:             contentItem,
	}

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

	// Print the results.
	fmt.Fprintf(w, "Table after de-identification : %v", resp.GetItem().GetTable())
	return nil
}

Java

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
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.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.TimePartConfig;
import com.google.privacy.dlp.v2.Value;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;

public class DeIdentifyWithTimeExtraction {

  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";
    Table tableToDeIdentify =
        Table.newBuilder()
            .addHeaders(FieldId.newBuilder().setName("Name").build())
            .addHeaders(FieldId.newBuilder().setName("Birth Date").build())
            .addHeaders(FieldId.newBuilder().setName("Credit Card").build())
            .addHeaders(FieldId.newBuilder().setName("Register Date").build())
            .addRows(
                Table.Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("Alex").build())
                    .addValues(Value.newBuilder().setStringValue("01/01/1970").build())
                    .addValues(Value.newBuilder().setStringValue("4532908762519852").build())
                    .addValues(Value.newBuilder().setStringValue("07/21/1996").build())
                    .build())
            .addRows(
                Table.Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("Charlie").build())
                    .addValues(Value.newBuilder().setStringValue("03/06/1988").build())
                    .addValues(Value.newBuilder().setStringValue("4301261899725540").build())
                    .addValues(Value.newBuilder().setStringValue("04/09/2001").build())
                    .build())
            .build();
    deIdentifyWithTimeExtraction(projectId, tableToDeIdentify);
  }

  // De-identifies a table by extracting specific parts of the time (year in this case) from
  // designated fields.
  public static Table deIdentifyWithTimeExtraction(String projectId, Table tableToDeIdentify)
      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 de-identify.
      ContentItem item = ContentItem.newBuilder().setTable(tableToDeIdentify).build();

      // Specify the time part to extract.
      TimePartConfig timePartConfig =
          TimePartConfig.newBuilder().setPartToExtract(TimePartConfig.TimePart.YEAR).build();

      PrimitiveTransformation transformation =
          PrimitiveTransformation.newBuilder().setTimePartConfig(timePartConfig).build();

      // Specify which fields the TimePart should apply too.
      List<FieldId> dateFields =
          Arrays.asList(
              FieldId.newBuilder().setName("Birth Date").build(),
              FieldId.newBuilder().setName("Register Date").build());

      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .addAllFields(dateFields)
              .setPrimitiveTransformation(transformation)
              .build();

      RecordTransformations recordTransformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();

      // Construct the configuration for the de-id request and list all desired transformations.
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(recordTransformations).build();

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

      // Send the request and receive response from the service.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);
      System.out.println("Table after de-identification: " + response.getItem().getTable());
      return response.getItem().getTable();
    }
  }
}

Node.js

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

// 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 de-identify
// const string = 'My BirthDay is on 9/21/1976';

// Table to de-identify
const tablularData = {
  headers: [
    {name: 'Name'},
    {name: 'Birth Date'},
    {name: 'Credit Card'},
    {name: 'Register Date'},
  ],
  rows: [
    {
      values: [
        {stringValue: 'Ann'},
        {stringValue: '01/01/1970'},
        {stringValue: '4532908762519852'},
        {stringValue: '07/21/1996'},
      ],
    },
    {
      values: [
        {stringValue: 'James'},
        {stringValue: '03/06/1988'},
        {stringValue: '4301261899725540'},
        {stringValue: '04/09/2001'},
      ],
    },
  ],
};

async function deidentifyWithTimeExtraction() {
  // Specify transformation to extract a portion of date.
  const primitiveTransformation = {
    timePartConfig: {
      partToExtract: 'YEAR',
    },
  };

  // Specify which fields the TimePart should apply too
  const dateFields = [{name: 'Birth Date'}, {name: 'Register Date'}];

  // Construct de-identification request to be sent by client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      recordTransformations: {
        fieldTransformations: [
          {
            fields: dateFields,
            primitiveTransformation,
          },
        ],
      },
    },
    item: {
      table: tablularData,
    },
  };

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

  // Print results.
  console.log(
    `Table after de-identification: ${JSON.stringify(response.item.table)}`
  );
}

deidentifyWithTimeExtraction();

PHP

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\TimePartConfig;
use Google\Cloud\Dlp\V2\TimePartConfig\TimePart;
use Google\Cloud\Dlp\V2\Value;

/**
 * De-identify data using time extraction.
 * Performing time extraction object preserves a portion of a matched value that on a date, a time,
 * or a timestamp preserves a portion of a matched value. You specify to Cloud DLP what kind of
 * time value you want to extract, including year, month, day of the month, and so on.
 *
 * https://cloud.google.com/dlp/docs/concepts-bucketing#bucketing_scenario_1
 *
 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $inputCsvFile          The input file(csv) path to deidentify.
 * @param string $outputCsvFile         The oupt file path to save deidentify content.
 *
 */
function deidentify_time_extract(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $inputCsvFile = './test/data/table3.csv',
    string $outputCsvFile = './test/data/deidentify_time_extract_output.csv'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Read a CSV file.
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects.
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)
            ->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            return (new Value())
                ->setStringValue($csvValue);
        }, explode(',', $csvRow));
        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Construct the table object.
    $tableToDeIdentify = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    // Specify what content you want the service to de-identify.
    $contentItem = (new ContentItem())
        ->setTable($tableToDeIdentify);

    // Specify the time part to extract.
    $timePartConfig = (new TimePartConfig())
        ->setPartToExtract(TimePart::YEAR);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setTimePartConfig($timePartConfig);

    // Specify which fields the TimePart should apply too.
    $fieldIds = [
        (new FieldId())
            ->setName('Birth_Date'),
        (new FieldId())
            ->setName('Register_Date')
    ];

    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($fieldIds);

    $recordTransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    // Construct the configuration for the de-id request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordTransformations);

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

    // Send the request and receive response from the service.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($contentItem);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            return $tableValue->getStringValue();
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    printf('Table after deidentify (File Location): %s', $outputCsvFile);
}

Python

如需了解如何安装和使用敏感数据保护客户端库，请参阅敏感数据保护客户端库。

如需向 Sensitive Data Protection 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

import csv
from datetime import datetime
from typing import List

import google.cloud.dlp


def deidentify_with_time_extract(
    project: str,
    date_fields: List[str],
    input_csv_file: str,
    output_csv_file: str,
) -> None:
    """Uses the Data Loss Prevention API to deidentify dates in a CSV file through
     time part extraction.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        date_fields: A list of (date) fields in CSV file to de-identify
            through time extraction. Example: ['birth_date', 'register_date'].
            Date values in format: mm/DD/YYYY are considered as part of this
            sample.
        input_csv_file: The path to the CSV file to deidentify. The first row
            of the file must specify column names, and all other rows must
            contain valid values.
        output_csv_file: The output file path to save the time extracted data.
    """

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

    # Convert date field list to Protobuf type.
    def map_fields(field):
        return {"name": field}

    if date_fields:
        date_fields = map(map_fields, date_fields)
    else:
        date_fields = []

    csv_lines = []
    with open(input_csv_file) as csvfile:
        reader = csv.reader(csvfile)
        for row in reader:
            csv_lines.append(row)

    #  Helper function for converting CSV rows to Protobuf types
    def map_headers(header):
        return {"name": header}

    def map_data(value):
        try:
            date = datetime.strptime(value, "%m/%d/%Y")
            return {
                "date_value": {"year": date.year, "month": date.month, "day": date.day}
            }
        except ValueError:
            return {"string_value": value}

    def map_rows(row):
        return {"values": map(map_data, row)}

    # Using the helper functions, convert CSV rows to protobuf-compatible
    # dictionaries.
    csv_headers = map(map_headers, csv_lines[0])
    csv_rows = map(map_rows, csv_lines[1:])

    # Construct the table dictionary.
    table = {"headers": csv_headers, "rows": csv_rows}

    # Construct the `item` for table to de-identify.
    item = {"table": table}

    # Construct deidentify configuration dictionary.
    deidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "primitive_transformation": {
                        "time_part_config": {"part_to_extract": "YEAR"}
                    },
                    "fields": date_fields,
                }
            ]
        }
    }

    # Write to CSV helper methods.
    def write_header(header):
        return header.name

    def write_data(data):
        return data.string_value or "{}/{}/{}".format(
            data.date_value.month,
            data.date_value.day,
            data.date_value.year,
        )

    # 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,
            "item": item,
        }
    )

    # Print the result.
    print(f"Table after de-identification: {response.item.table}")

    # Write results to CSV file.
    with open(output_csv_file, "w") as csvfile:
        write_file = csv.writer(csvfile, delimiter=",")
        write_file.writerow(map(write_header, response.item.table.headers))
        for row in response.item.table.rows:
            write_file.writerow(map(write_data, row.values))

    # Print status.
    print(f"Successfully saved date-extracted output to {output_csv_file}")