PERSON_NAME 감지기 스캔에서 커스텀 감지기와 겹치는 스캔 일치 항목을 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 Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using static Google.Cloud.Dlp.V2.CustomInfoType.Types;
public class InspectStringCustomOmitOverlap
{
public static InspectContentResponse Inspect(string projectId, string textToInspect)
{
var dlp = DlpServiceClient.Create();
var byteItem = new ByteContentItem
{
Type = ByteContentItem.Types.BytesType.TextUtf8,
Data = Google.Protobuf.ByteString.CopyFromUtf8(textToInspect)
};
var contentItem = new ContentItem { ByteItem = byteItem };
var customInfoType = new CustomInfoType
{
InfoType = new InfoType { Name = "VIP_DETECTOR" },
Regex = new CustomInfoType.Types.Regex { Pattern = "Larry Page|Sergey Brin" },
ExclusionType = ExclusionType.Exclude
};
var exclusionRule = new ExclusionRule
{
ExcludeInfoTypes = new ExcludeInfoTypes { InfoTypes = { customInfoType.InfoType } },
MatchingType = MatchingType.FullMatch
};
var ruleSet = new InspectionRuleSet
{
InfoTypes = { new InfoType { Name = "PERSON_NAME" } },
Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
};
var config = new InspectConfig
{
InfoTypes = { new InfoType { Name = "PERSON_NAME" } },
CustomInfoTypes = { customInfoType },
IncludeQuote = true,
RuleSet = { ruleSet }
};
var request = new InspectContentRequest
{
Parent = new LocationName(projectId, "global").ToString(),
Item = contentItem,
InspectConfig = config
};
var response = dlp.InspectContent(request);
Console.WriteLine($"Findings: {response.Result.Findings.Count}");
foreach (var f in response.Result.Findings)
{
Console.WriteLine("\tQuote: " + f.Quote);
Console.WriteLine("\tInfo type: " + f.InfoType.Name);
Console.WriteLine("\tLikelihood: " + f.Likelihood);
}
return response;
}
}
Go
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"
)
// inspectStringCustomOmitOverlap inspects a string for sensitive data with omitting custom matches
func inspectStringCustomOmitOverlap(w io.Writer, projectID, textToInspect, customInfoTypeName, infoTypeName, regex string) error {
// projectID := "my-project-id"
// textToInspect := "Name: Jane Doe. Name: Larry Page."
// customInfoTypeName := "VIP_DETECTOR"
// infoTypeName := "PERSON_NAME"
// regex := "Larry Page|Sergey Brin"
ctx := context.Background()
// Initialize a client once and reuse it to send multiple requests. Clients
// are safe to use across goroutines. When the client is no longer needed,
// call the Close method to cleanup its resources.
client, err := dlp.NewClient(ctx)
if err != nil {
return err
}
// Closing the client safely cleans up background resources.
defer client.Close()
// Specify the type and content to be inspected.
contentItem := &dlppb.ContentItem{
DataItem: &dlppb.ContentItem_ByteItem{
ByteItem: &dlppb.ByteContentItem{
Type: dlppb.ByteContentItem_TEXT_UTF8,
Data: []byte(textToInspect),
},
},
}
// Construct the custom infoType.
customInfotype := &dlppb.CustomInfoType{
InfoType: &dlppb.InfoType{
Name: customInfoTypeName,
},
Type: &dlppb.CustomInfoType_Regex_{
Regex: &dlppb.CustomInfoType_Regex{
Pattern: regex,
},
},
ExclusionType: dlppb.CustomInfoType_EXCLUSION_TYPE_EXCLUDE,
}
// Exclude matches that also match the custom infoType.
exclusionRule := &dlppb.ExclusionRule{
Type: &dlppb.ExclusionRule_ExcludeInfoTypes{
ExcludeInfoTypes: &dlppb.ExcludeInfoTypes{
InfoTypes: []*dlppb.InfoType{
customInfotype.GetInfoType(),
},
},
},
MatchingType: dlppb.MatchingType_MATCHING_TYPE_FULL_MATCH,
}
// Construct a ruleSet that applies the exclusion rule to the PERSON_NAME infoType.
ruleSet := &dlppb.InspectionRuleSet{
InfoTypes: []*dlppb.InfoType{
{Name: infoTypeName},
},
Rules: []*dlppb.InspectionRule{
{
Type: &dlppb.InspectionRule_ExclusionRule{
ExclusionRule: exclusionRule,
},
},
},
}
// Construct the configuration for the Inspect request, including the ruleSet.
config := &dlppb.InspectConfig{
InfoTypes: []*dlppb.InfoType{
{Name: infoTypeName},
},
CustomInfoTypes: []*dlppb.CustomInfoType{
customInfotype,
},
IncludeQuote: true,
RuleSet: []*dlppb.InspectionRuleSet{
ruleSet,
},
}
// Create a configured request.
req := &dlppb.InspectContentRequest{
Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
Item: contentItem,
InspectConfig: config,
}
// Send the request.
resp, err := client.InspectContent(ctx, req)
if err != nil {
return err
}
// Parse the response and process results
fmt.Fprintf(w, "Findings: %v\n", len(resp.Result.Findings))
for _, v := range resp.GetResult().Findings {
fmt.Fprintf(w, "Quote: %v\n", v.GetQuote())
fmt.Fprintf(w, "Infotype Name: %v\n", v.GetInfoType().GetName())
fmt.Fprintf(w, "Likelihood: %v\n", v.GetLikelihood())
}
return nil
}
Java
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.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.ExclusionType;
import com.google.privacy.dlp.v2.CustomInfoType.Regex;
import com.google.privacy.dlp.v2.ExcludeInfoTypes;
import com.google.privacy.dlp.v2.ExclusionRule;
import com.google.privacy.dlp.v2.Finding;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.InspectContentRequest;
import com.google.privacy.dlp.v2.InspectContentResponse;
import com.google.privacy.dlp.v2.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.protobuf.ByteString;
import java.io.IOException;
public class InspectStringCustomOmitOverlap {
public static void main(String[] args) throws Exception {
// TODO(developer): Replace these variables before running the sample.
String projectId = "your-project-id";
String textToInspect = "Name: Jane Doe. Name: Larry Page.";
inspectStringCustomOmitOverlap(projectId, textToInspect);
}
// Inspects the provided text, avoiding matches specified in the exclusion list.
public static void inspectStringCustomOmitOverlap(String projectId, String textToInspect)
throws IOException {
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (DlpServiceClient dlp = DlpServiceClient.create()) {
// Specify the type and content to be inspected.
ByteContentItem byteItem =
ByteContentItem.newBuilder()
.setType(BytesType.TEXT_UTF8)
.setData(ByteString.copyFromUtf8(textToInspect))
.build();
ContentItem item = ContentItem.newBuilder().setByteItem(byteItem).build();
// Construct the custom infotype.
CustomInfoType customInfoType =
CustomInfoType.newBuilder()
.setInfoType(InfoType.newBuilder().setName("VIP_DETECTOR"))
.setRegex(Regex.newBuilder().setPattern("Larry Page|Sergey Brin"))
.setExclusionType(ExclusionType.EXCLUSION_TYPE_EXCLUDE)
.build();
// Exclude matches that also match the custom infotype.
ExclusionRule exclusionRule =
ExclusionRule.newBuilder()
.setExcludeInfoTypes(
ExcludeInfoTypes.newBuilder().addInfoTypes(customInfoType.getInfoType()))
.setMatchingType(MatchingType.MATCHING_TYPE_FULL_MATCH)
.build();
// Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
InspectionRuleSet ruleSet =
InspectionRuleSet.newBuilder()
.addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME"))
.addRules(InspectionRule.newBuilder().setExclusionRule(exclusionRule))
.build();
// Construct the configuration for the Inspect request, including the ruleset.
InspectConfig config =
InspectConfig.newBuilder()
.addInfoTypes(InfoType.newBuilder().setName("PERSON_NAME"))
.addCustomInfoTypes(customInfoType)
.setIncludeQuote(true)
.addRuleSet(ruleSet)
.build();
// Construct the Inspect request to be sent by the client.
InspectContentRequest request =
InspectContentRequest.newBuilder()
.setParent(LocationName.of(projectId, "global").toString())
.setItem(item)
.setInspectConfig(config)
.build();
// Use the client to send the API request.
InspectContentResponse response = dlp.inspectContent(request);
// Parse the response and process results
System.out.println("Findings: " + response.getResult().getFindingsCount());
for (Finding f : response.getResult().getFindingsList()) {
System.out.println("\tQuote: " + f.getQuote());
System.out.println("\tInfo type: " + f.getInfoType().getName());
System.out.println("\tLikelihood: " + f.getLikelihood());
}
}
}
}Node.js
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 = 'Name: Jane Doe. Name: Larry Page.';
async function inspectStringCustomOmitOverlap() {
// Construct item to inspect
const item = {value: string};
// Construct a custom regex detector for names
const customInfoTypes = [
{
infoType: {name: 'VIP_DETECTOR'},
regex: {pattern: 'Larry Page|Sergey Brin'},
exclusionType:
DLP.protos.google.privacy.dlp.v2.CustomInfoType.ExclusionType
.EXCLUSION_TYPE_EXCLUDE,
},
];
// Construct a exclusion rule
const exclusionRule = {
excludeInfoTypes: {
infoTypes: [{name: 'VIP_DETECTOR'}],
},
matchingType:
DLP.protos.google.privacy.dlp.v2.MatchingType.MATCHING_TYPE_FULL_MATCH,
};
// Construct a rule set that will only match if the match text does not
// contains Info type matches.
const ruleSet = [
{
infoTypes: [{name: 'PERSON_NAME'}],
rules: [
{
exclusionRule: exclusionRule,
},
],
},
];
// Construct the inspect configuration
const inspectConfig = {
infoTypes: [{name: 'PERSON_NAME'}],
customInfoTypes: customInfoTypes,
ruleSet: ruleSet,
includeQuote: true,
};
// Combine configurations into a request for the service.
const request = {
parent: `projects/${projectId}/locations/global`,
inspectConfig: inspectConfig,
item: item,
};
// Run request
const [response] = await dlp.inspectContent(request);
// Print Findings
const findings = response.result.findings;
if (findings.length > 0) {
console.log(`Findings: ${findings.length}\n`);
findings.forEach(finding => {
console.log(`InfoType: ${finding.infoType.name}`);
console.log(`\tQuote: ${finding.quote}`);
console.log(`\tLikelihood: ${finding.likelihood} \n`);
});
} else {
console.log('No findings.');
}
}
inspectStringCustomOmitOverlap();PHP
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\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\ExclusionType;
use Google\Cloud\Dlp\V2\CustomInfoType\Regex;
use Google\Cloud\Dlp\V2\ExcludeInfoTypes;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\MatchingType;
/**
* Inspect a string for sensitive data, omitting custom matches
* Omit scan matches from a PERSON_NAME detector scan that overlap with a custom detector.
*
* @param string $projectId The Google Cloud project id to use as a parent resource.
* @param string $textToInspect The string to inspect.
*/
function inspect_string_custom_omit_overlap(
// TODO(developer): Replace sample parameters before running the code.
string $projectId,
string $textToInspect = 'Name: Jane Doe. Name: Larry Page.'
): void {
// Instantiate a client.
$dlp = new DlpServiceClient();
$parent = "projects/$projectId/locations/global";
// Specify what content you want the service to Inspect.
$item = (new ContentItem())
->setValue($textToInspect);
// Specify the type of info the inspection will look for.
$vipDetector = (new InfoType())
->setName('VIP_DETECTOR');
$pattern = 'Larry Page|Sergey Brin';
$customInfoType = (new CustomInfoType())
->setInfoType($vipDetector)
->setRegex((new Regex())
->setPattern($pattern))
->setExclusionType(ExclusionType::EXCLUSION_TYPE_EXCLUDE);
// Exclude matches that also match the custom infotype.
$exclusionRule = (new ExclusionRule())
->setMatchingType(MatchingType::MATCHING_TYPE_FULL_MATCH)
->setExcludeInfoTypes((new ExcludeInfoTypes())
->setInfoTypes([$customInfoType->getInfoType()])
);
// Construct a ruleset that applies the exclusion rule to the PERSON_NAME infotype.
$personName = (new InfoType())
->setName('PERSON_NAME');
$inspectionRuleSet = (new InspectionRuleSet())
->setInfoTypes([$personName])
->setRules([
(new InspectionRule())
->setExclusionRule($exclusionRule),
]);
// Construct the configuration for the Inspect request, including the ruleset.
$inspectConfig = (new InspectConfig())
->setInfoTypes([$personName])
->setCustomInfoTypes([$customInfoType])
->setIncludeQuote(true)
->setRuleSet([$inspectionRuleSet]);
// Run request
$inspectContentRequest = (new InspectContentRequest())
->setParent($parent)
->setInspectConfig($inspectConfig)
->setItem($item);
$response = $dlp->inspectContent($inspectContentRequest);
// Print the results
$findings = $response->getResult()->getFindings();
if (count($findings) == 0) {
printf('No findings.' . PHP_EOL);
} else {
printf('Findings:' . PHP_EOL);
foreach ($findings as $finding) {
printf(' Quote: %s' . PHP_EOL, $finding->getQuote());
printf(' Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
printf(' Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
}
}
}Python
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_custom_omit_overlap(project: str, content_string: str) -> None:
"""Matches PERSON_NAME and a custom detector,
but if they overlap only matches the custom detector
Uses the Data Loss Prevention API to omit matches on a built-in detector
if they overlap with matches from a custom detector
Args:
project: The Google Cloud project id to use as a parent resource.
content_string: The string to inspect.
Returns:
None; the response from the API is printed to the terminal.
"""
# Instantiate a client.
dlp = google.cloud.dlp_v2.DlpServiceClient()
# Construct a custom regex detector for names
custom_info_types = [
{
"info_type": {"name": "VIP_DETECTOR"},
"regex": {"pattern": "Larry Page|Sergey Brin"},
"exclusion_type": google.cloud.dlp_v2.CustomInfoType.ExclusionType.EXCLUSION_TYPE_EXCLUDE,
}
]
# Construct a rule set that will exclude PERSON_NAME matches
# that overlap with VIP_DETECTOR matches
rule_set = [
{
"info_types": [{"name": "PERSON_NAME"}],
"rules": [
{
"exclusion_rule": {
"exclude_info_types": {
"info_types": [{"name": "VIP_DETECTOR"}]
},
"matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_FULL_MATCH,
}
}
],
}
]
# Construct the configuration dictionary
inspect_config = {
"info_types": [{"name": "PERSON_NAME"}],
"custom_info_types": custom_info_types,
"rule_set": rule_set,
"include_quote": True,
}
# Construct the `item`.
item = {"value": content_string}
# Convert the project id into a full resource id.
parent = f"projects/{project}"
# Call the API.
response = dlp.inspect_content(
request={"parent": parent, "inspect_config": inspect_config, "item": item}
)
# Print out the results.
if response.result.findings:
for finding in response.result.findings:
print(f"Quote: {finding.quote}")
print(f"Info type: {finding.info_type.name}")
print(f"Likelihood: {finding.likelihood}")
else:
print("No findings.")
다음 단계
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