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코드 샘플
C#
민감한 정보 보호의 클라이언트 라이브러리를 설치하고 사용하는 방법은 민감한 정보 보호 클라이언트 라이브러리를 참조하세요.
Sensitive Data Protection에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 로컬 개발 환경의 인증 설정을 참조하세요.
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;
}
}
Go
Sensitive Data Protection의 클라이언트 라이브러리를 설치하고 사용하는 방법은 Sensitive Data Protection 클라이언트 라이브러리를 참조하세요.
Sensitive Data Protection에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 로컬 개발 환경의 인증 설정을 참조하세요.
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
}
Java
Sensitive Data Protection의 클라이언트 라이브러리를 설치하고 사용하는 방법은 Sensitive Data Protection 클라이언트 라이브러리를 참조하세요.
Sensitive Data Protection에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 로컬 개발 환경의 인증 설정을 참조하세요.
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
Sensitive Data Protection의 클라이언트 라이브러리를 설치하고 사용하는 방법은 Sensitive Data Protection 클라이언트 라이브러리를 참조하세요.
Sensitive Data Protection에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 로컬 개발 환경의 인증 설정을 참조하세요.
// 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();
PHP
Sensitive Data Protection의 클라이언트 라이브러리를 설치하고 사용하는 방법은 Sensitive Data Protection 클라이언트 라이브러리를 참조하세요.
Sensitive Data Protection에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 로컬 개발 환경의 인증 설정을 참조하세요.
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);
}
Python
Sensitive Data Protection의 클라이언트 라이브러리를 설치하고 사용하는 방법은 Sensitive Data Protection 클라이언트 라이브러리를 참조하세요.
Sensitive Data Protection에 인증하려면 애플리케이션 기본 사용자 인증 정보를 설정합니다. 자세한 내용은 로컬 개발 환경의 인증 설정을 참조하세요.
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)
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