PERSON_NAME 감지기의 일치 항목이 EMAIL_ADDRESS 감지기에서도 일치하는 경우 생략합니다.
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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 System.Linq;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
public class InspectStringOmitOverlap
{
public static InspectContentResponse Inspect(string projectId, string textToInspect)
{
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
var dlp = DlpServiceClient.Create();
// Specify the type and content to be inspected.
var byteItem = new ByteContentItem
{
Type = ByteContentItem.Types.BytesType.TextUtf8,
Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
};
var contentItem = new ContentItem { ByteItem = byteItem };
// Specify the type of info the inspection will look for.
// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types.
var infoTypes = new string[] { "PERSON_NAME", "EMAIL_ADDRESS" }.Select(it => new InfoType { Name = it });
// Exclude EMAIL_ADDRESS matches
var exclusionRule = new ExclusionRule
{
ExcludeInfoTypes = new ExcludeInfoTypes { InfoTypes = { new InfoType { Name = "EMAIL_ADDRESS" } } },
MatchingType = MatchingType.PartialMatch
};
// Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
// If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
// be excluded.
var ruleSet = new InspectionRuleSet
{
InfoTypes = { new InfoType { Name = "PERSON_NAME" } },
Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
};
// Construct the configuration for the Inspect request, including the ruleset.
var config = new InspectConfig
{
InfoTypes = { infoTypes },
IncludeQuote = true,
RuleSet = { ruleSet }
};
// Construct the Inspect request to be sent by the client.
var request = new InspectContentRequest
{
Parent = new LocationName(projectId, "global").ToString(),
Item = contentItem,
InspectConfig = config
};
// Use the client to send the API request.
var response = dlp.InspectContent(request);
// Parse the response and process results
Console.WriteLine($"Findings: {response.Result.Findings.Count}");
foreach (var f in response.Result.Findings)
{
Console.WriteLine("\tQuote: " + f.Quote);
Console.WriteLine("\tInfo type: " + f.InfoType.Name);
Console.WriteLine("\tLikelihood: " + f.Likelihood);
}
return response;
}
}
Go
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"
)
// inspectStringOmitOverlap inspects a string for sensitive data and
// omitting overlapping matches on person and email
func inspectStringOmitOverlap(w io.Writer, projectID, textToInspect string) error {
// projectID := "my-project-id"
// textToInspect := "gary@example.com"
ctx := context.Background()
// Initialize a client once and reuse it to send multiple requests. Clients
// are safe to use across goroutines. When the client is no longer needed,
// call the Close method to cleanup its resources.
client, err := dlp.NewClient(ctx)
if err != nil {
return err
}
// Closing the client safely cleans up background resources.
defer client.Close()
// Specify the type and content to be inspected.
contentItem := &dlppb.ContentItem{
DataItem: &dlppb.ContentItem_ByteItem{
ByteItem: &dlppb.ByteContentItem{
Type: dlppb.ByteContentItem_TEXT_UTF8,
Data: []byte(textToInspect),
},
},
}
// Specify the type of info the inspection will look for.
// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types.
infoTypes := []*dlppb.InfoType{
{Name: "PERSON_NAME"},
{Name: "EMAIL_ADDRESS"},
}
// Exclude EMAIL_ADDRESS matches
exclusionRule := &dlppb.ExclusionRule{
Type: &dlppb.ExclusionRule_ExcludeInfoTypes{
ExcludeInfoTypes: &dlppb.ExcludeInfoTypes{
InfoTypes: []*dlppb.InfoType{
{Name: "EMAIL_ADDRESS"},
},
},
},
MatchingType: dlppb.MatchingType_MATCHING_TYPE_PARTIAL_MATCH,
}
// Construct a ruleSet that applies the exclusion rule to the PERSON_NAME infoType.
// If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
// be excluded.
ruleSet := &dlppb.InspectionRuleSet{
InfoTypes: []*dlppb.InfoType{
{Name: "PERSON_NAME"},
},
Rules: []*dlppb.InspectionRule{
{
Type: &dlppb.InspectionRule_ExclusionRule{
ExclusionRule: exclusionRule,
},
},
},
}
// Construct the Inspect request to be sent by the client.
req := &dlppb.InspectContentRequest{
Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
Item: contentItem,
InspectConfig: &dlppb.InspectConfig{
InfoTypes: infoTypes,
IncludeQuote: true,
RuleSet: []*dlppb.InspectionRuleSet{
ruleSet,
},
},
}
// Send the request.
resp, err := client.InspectContent(ctx, req)
if err != nil {
return err
}
// Process the results.
fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
for _, v := range resp.GetResult().Findings {
fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
}
return nil
}
Java
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.ByteContentItem;
import com.google.privacy.dlp.v2.ByteContentItem.BytesType;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.ExcludeInfoTypes;
import com.google.privacy.dlp.v2.ExclusionRule;
import com.google.privacy.dlp.v2.Finding;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.InspectContentRequest;
import com.google.privacy.dlp.v2.InspectContentResponse;
import com.google.privacy.dlp.v2.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
public class InspectStringOmitOverlap {
public static void main(String[] args) throws Exception {
// TODO(developer): Replace these variables before running the sample.
String projectId = "your-project-id";
String textToInspect = "james@example.com";
inspectStringOmitOverlap(projectId, textToInspect);
}
// Inspects the provided text, avoiding matches specified in the exclusion list.
public static void inspectStringOmitOverlap(String projectId, String textToInspect)
throws IOException {
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (DlpServiceClient dlp = DlpServiceClient.create()) {
// Specify the type and content to be inspected.
ByteContentItem byteItem =
ByteContentItem.newBuilder()
.setType(BytesType.TEXT_UTF8)
.setData(ByteString.copyFromUtf8(textToInspect))
.build();
ContentItem item = ContentItem.newBuilder().setByteItem(byteItem).build();
// Specify the type of info the inspection will look for.
// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types.
List<InfoType> infoTypes = new ArrayList<>();
for (String typeName : new String[] {"PERSON_NAME", "EMAIL_ADDRESS"}) {
infoTypes.add(InfoType.newBuilder().setName(typeName).build());
}
// Exclude EMAIL_ADDRESS matches
ExclusionRule exclusionRule =
ExclusionRule.newBuilder()
.setExcludeInfoTypes(
ExcludeInfoTypes.newBuilder()
.addInfoTypes(InfoType.newBuilder().setName("EMAIL_ADDRESS")))
.setMatchingType(MatchingType.MATCHING_TYPE_PARTIAL_MATCH)
.build();
// Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
// If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
// be excluded.
InspectionRuleSet ruleSet =
InspectionRuleSet.newBuilder()
.addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME"))
.addRules(InspectionRule.newBuilder().setExclusionRule(exclusionRule))
.build();
// Construct the configuration for the Inspect request, including the ruleset.
InspectConfig config =
InspectConfig.newBuilder()
.addAllInfoTypes(infoTypes)
.setIncludeQuote(true)
.addRuleSet(ruleSet)
.build();
// Construct the Inspect request to be sent by the client.
InspectContentRequest request =
InspectContentRequest.newBuilder()
.setParent(LocationName.of(projectId, "global").toString())
.setItem(item)
.setInspectConfig(config)
.build();
// Use the client to send the API request.
InspectContentResponse response = dlp.inspectContent(request);
// Parse the response and process results
System.out.println("Findings: " + response.getResult().getFindingsCount());
for (Finding f : response.getResult().getFindingsList()) {
System.out.println("\tQuote: " + f.getQuote());
System.out.println("\tInfo type: " + f.getInfoType().getName());
System.out.println("\tLikelihood: " + f.getLikelihood());
}
}
}
}Node.js
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';
// The string to inspect
// const string = 'james@example.com';
async function inspectStringWithoutOverlapPersonEmail() {
// Construct item to inspect
const item = {
byteItem: {
type: DLP.protos.google.privacy.dlp.v2.ByteContentItem.BytesType
.TEXT_UTF8,
data: Buffer.from(string, 'utf-8'),
},
};
// Specify the type of info the inspection will look for.
const infoTypes = [{name: 'PERSON_NAME'}, {name: 'EMAIL_ADDRESS'}];
// Exclude EMAIL_ADDRESS matches
const exclusionRule = {
excludeInfoTypes: {
infoTypes: [{name: 'EMAIL_ADDRESS'}],
},
matchingType:
DLP.protos.google.privacy.dlp.v2.MatchingType
.MATCHING_TYPE_PARTIAL_MATCH,
};
// Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
// If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
// be excluded.
const ruleSet = [
{
infoTypes: [{name: 'PERSON_NAME'}],
rules: [
{
exclusionRule: exclusionRule,
},
],
},
];
// Construct the configuration for the Inspect request, including the ruleset.
const inspectConfig = {
infoTypes: infoTypes,
ruleSet: ruleSet,
includeQuote: true,
};
// Construct the Inspect request to be sent by the client.
const request = {
parent: `projects/${projectId}/locations/global`,
inspectConfig: inspectConfig,
item: item,
};
// Run request
const [response] = await dlp.inspectContent(request);
// Print Findings
const findings = response.result.findings;
if (findings.length > 0) {
console.log(`Findings: ${findings.length}\n`);
findings.forEach(finding => {
console.log(`InfoType: ${finding.infoType.name}`);
console.log(`\tQuote: ${finding.quote}`);
console.log(`\tLikelihood: ${finding.likelihood} \n`);
});
} else {
console.log('No findings.');
}
}
inspectStringWithoutOverlapPersonEmail();PHP
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\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\ExcludeInfoTypes;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;
/**
* Inspect a string for sensitive data, omitting overlapping matches on person and email
* Omit matches on a PERSON_NAME detector if also matched by an EMAIL_ADDRESS detector.
*
* @param string $projectId The Google Cloud project id to use as a parent resource.
* @param string $textToInspect The string to inspect.
*/
function inspect_string_omit_overlap(
// TODO(developer): Replace sample parameters before running the code.
string $projectId,
string $textToInspect = 'james@example.org is an email.'
): void {
// Instantiate a client.
$dlp = new DlpServiceClient();
$parent = "projects/$projectId/locations/global";
// Specify what content you want the service to Inspect.
$item = (new ContentItem())
->setValue($textToInspect);
// Specify the type of info the inspection will look for.
$personName = (new InfoType())
->setName('PERSON_NAME');
$emailAddress = (new InfoType())
->setName('EMAIL_ADDRESS');
$infoTypes = [$personName, $emailAddress];
// Exclude EMAIL_ADDRESS matches
$exclusionRule = (new ExclusionRule())
->setMatchingType(MatchingType::MATCHING_TYPE_PARTIAL_MATCH)
->setExcludeInfoTypes((new ExcludeInfoTypes())
->setInfoTypes([$emailAddress])
);
// Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
// If a PERSON_NAME match overlaps with an EMAIL_ADDRESS match, the PERSON_NAME match will
// be excluded.
$inspectionRuleSet = (new InspectionRuleSet())
->setInfoTypes([$personName])
->setRules([
(new InspectionRule())
->setExclusionRule($exclusionRule),
]);
// Construct the configuration for the Inspect request, including the ruleset.
$inspectConfig = (new InspectConfig())
->setInfoTypes($infoTypes)
->setIncludeQuote(true)
->setRuleSet([$inspectionRuleSet]);
// Run request
$inspectContentRequest = (new InspectContentRequest())
->setParent($parent)
->setInspectConfig($inspectConfig)
->setItem($item);
$response = $dlp->inspectContent($inspectContentRequest);
// Print the results
$findings = $response->getResult()->getFindings();
if (count($findings) == 0) {
printf('No findings.' . PHP_EOL);
} else {
printf('Findings:' . PHP_EOL);
foreach ($findings as $finding) {
printf(' Quote: %s' . PHP_EOL, $finding->getQuote());
printf(' Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
printf(' Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
}
}
}Python
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 google.cloud.dlp
def inspect_string_omit_overlap(
project: str,
content_string: str,
) -> None:
"""Matches PERSON_NAME and EMAIL_ADDRESS, but not both.
Uses the Data Loss Prevention API omit matches on PERSON_NAME if the
EMAIL_ADDRESS detector also matches.
Args:
project: The Google Cloud project id to use as a parent resource.
content_string: The string to inspect.
Returns:
None; the response from the API is printed to the terminal.
"""
# Instantiate a client.
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Construct a list of infoTypes for DLP to locate in `content_string`. See
# https://cloud.google.com/dlp/docs/concepts-infotypes for more information
# about supported infoTypes.
info_types_to_locate = [{"name": "PERSON_NAME"}, {"name": "EMAIL_ADDRESS"}]
# Construct the configuration dictionary that will only match on PERSON_NAME
# if the EMAIL_ADDRESS doesn't also match. This configuration helps reduce
# the total number of findings when there is a large overlap between different
# infoTypes.
inspect_config = {
"info_types": info_types_to_locate,
"rule_set": [
{
"info_types": [{"name": "PERSON_NAME"}],
"rules": [
{
"exclusion_rule": {
"exclude_info_types": {
"info_types": [{"name": "EMAIL_ADDRESS"}]
},
"matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_PARTIAL_MATCH,
}
}
],
}
],
"include_quote": True,
}
# Construct the `item`.
item = {"value": content_string}
# Convert the project id into a full resource id.
parent = f"projects/{project}"
# Call the API.
response = dlp.inspect_content(
request={"parent": parent, "inspect_config": inspect_config, "item": item}
)
# Print out the results.
if response.result.findings:
for finding in response.result.findings:
print(f"Quote: {finding.quote}")
print(f"Info type: {finding.info_type.name}")
print(f"Likelihood: {finding.likelihood}")
else:
print("No findings.")
다음 단계
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