다른 필드에서 특정 조건이 충족될 떄만 발견 항목을 변환합니다.
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코드 샘플
C#
Cloud DLP용 클라이언트 라이브러리를 설치하고 사용하는 방법은 Cloud DLP 클라이언트 라이브러리를 참조하세요.
using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
public class DeidentifyTableUsingLogicInfoTypes
{
public static Table Deidentify(
string projectId,
Table tableToInspect = null,
IEnumerable<InfoType> infoTypes = null)
{
// Instantiate the dlp client.
var dlp = DlpServiceClient.Create();
// Construct the table if null.
if (tableToInspect == null)
{
var row1 = new Value[]
{
new Value { StringValue = "101" },
new Value { StringValue = "Charles Dickens" },
new Value { StringValue = "95" },
new Value { StringValue = "Charles Dickens name was a curse invented by Shakespeare." }
};
var row2 = new Value[]
{
new Value { StringValue = "22" },
new Value { StringValue = "Jane Austin" },
new Value { StringValue = "21" },
new Value { StringValue = "There are 14 kisses in Jane Austen's novels." }
};
var row3 = new Value[]
{
new Value { StringValue = "55" },
new Value { StringValue = "Mark Twain" },
new Value { StringValue = "75" },
new Value { StringValue = "Mark Twain loved cats." }
};
tableToInspect = new Table
{
Headers =
{
new FieldId { Name = "AGE" },
new FieldId { Name = "PATIENT" },
new FieldId { Name = "HAPPINESS SCORE" },
new FieldId { Name = "FACTOID" }
},
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 };
// Specify that findings should be replaced with corresponding info type name.
var infoTypeTransformation = new InfoTypeTransformations
{
Transformations =
{
new InfoTypeTransformations.Types.InfoTypeTransformation
{
InfoTypes = { infoTypes ?? new InfoType[] { new InfoType { Name = "PERSON_NAME" } } },
PrimitiveTransformation = new PrimitiveTransformation
{
ReplaceWithInfoTypeConfig = new ReplaceWithInfoTypeConfig()
}
}
}
};
// Specify the fields to be de-identified.
var fields = new FieldId[] { new FieldId { Name = "PATIENT" }, new FieldId { Name = "FACTOID" } };
// Specify when the above fields should be de-identified using condition.
var condition = new RecordCondition.Types.Conditions
{
Conditions_ =
{
new RecordCondition.Types.Condition
{
Field = new FieldId { Name = "AGE" },
Operator = RelationalOperator.GreaterThan,
Value = new Value { IntegerValue = 89 }
}
}
};
// Apply the condition to records.
var recordCondition = new RecordCondition
{
Expressions = new RecordCondition.Types.Expressions
{
Conditions = condition
}
};
// Associate the de-identification and conditions with the specified fields.
var deidentifiedConfig = new DeidentifyConfig
{
RecordTransformations = new RecordTransformations
{
FieldTransformations =
{
new FieldTransformation
{
InfoTypeTransformations = infoTypeTransformation,
Fields = { fields },
Condition = recordCondition
}
}
}
};
// Construct the request.
var request = new DeidentifyContentRequest
{
ParentAsLocationName = new LocationName(projectId, "global"),
DeidentifyConfig = deidentifiedConfig,
Item = contentItem
};
// Call the API.
var response = dlp.DeidentifyContent(request);
// Inspect the response.
Console.WriteLine(response.Item.Table);
return response.Item.Table;
}
}Java
Cloud DLP용 클라이언트 라이브러리를 설치하고 사용하는 방법은 Cloud DLP 클라이언트 라이브러리를 참조하세요.
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.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordCondition;
import com.google.privacy.dlp.v2.RecordCondition.Condition;
import com.google.privacy.dlp.v2.RecordCondition.Conditions;
import com.google.privacy.dlp.v2.RecordCondition.Expressions;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.RelationalOperator;
import com.google.privacy.dlp.v2.ReplaceWithInfoTypeConfig;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Table.Row;
import com.google.privacy.dlp.v2.Value;
import java.io.IOException;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.Stream;
public class DeIdentifyTableConditionInfoTypes {
public static void deIdentifyTableConditionInfoTypes() throws IOException {
// TODO(developer): Replace these variables before running the sample.
String projectId = "your-project-id";
Table tableToDeIdentify =
Table.newBuilder()
.addHeaders(FieldId.newBuilder().setName("AGE").build())
.addHeaders(FieldId.newBuilder().setName("PATIENT").build())
.addHeaders(FieldId.newBuilder().setName("HAPPINESS SCORE").build())
.addHeaders(FieldId.newBuilder().setName("FACTOID").build())
.addRows(
Row.newBuilder()
.addValues(Value.newBuilder().setStringValue("101").build())
.addValues(Value.newBuilder().setStringValue("Charles Dickens").build())
.addValues(Value.newBuilder().setStringValue("95").build())
.addValues(
Value.newBuilder()
.setStringValue(
"Charles Dickens name was a curse invented by Shakespeare.")
.build())
.build())
.addRows(
Row.newBuilder()
.addValues(Value.newBuilder().setStringValue("22").build())
.addValues(Value.newBuilder().setStringValue("Jane Austen").build())
.addValues(Value.newBuilder().setStringValue("21").build())
.addValues(
Value.newBuilder()
.setStringValue("There are 14 kisses in Jane Austen's novels.")
.build())
.build())
.addRows(
Row.newBuilder()
.addValues(Value.newBuilder().setStringValue("55").build())
.addValues(Value.newBuilder().setStringValue("Mark Twain").build())
.addValues(Value.newBuilder().setStringValue("75").build())
.addValues(Value.newBuilder().setStringValue("Mark Twain loved cats.").build())
.build())
.build();
deIdentifyTableConditionInfoTypes(projectId, tableToDeIdentify);
}
public static Table deIdentifyTableConditionInfoTypes(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 contentItem = ContentItem.newBuilder().setTable(tableToDeIdentify).build();
// Specify how the content should be de-identified.
// Select type of info to be replaced.
InfoType infoType = InfoType.newBuilder().setName("PERSON_NAME").build();
// Specify that findings should be replaced with corresponding info type name.
ReplaceWithInfoTypeConfig replaceWithInfoTypeConfig =
ReplaceWithInfoTypeConfig.getDefaultInstance();
PrimitiveTransformation primitiveTransformation =
PrimitiveTransformation.newBuilder()
.setReplaceWithInfoTypeConfig(replaceWithInfoTypeConfig)
.build();
// Associate info type with the replacement strategy
InfoTypeTransformation infoTypeTransformation =
InfoTypeTransformation.newBuilder()
.addInfoTypes(infoType)
.setPrimitiveTransformation(primitiveTransformation)
.build();
InfoTypeTransformations infoTypeTransformations =
InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();
// Specify fields to be de-identified.
List<FieldId> fieldIds =
Stream.of("PATIENT", "FACTOID")
.map(id -> FieldId.newBuilder().setName(id).build())
.collect(Collectors.toList());
// Specify when the above fields should be de-identified.
Condition condition =
Condition.newBuilder()
.setField(FieldId.newBuilder().setName("AGE").build())
.setOperator(RelationalOperator.GREATER_THAN)
.setValue(Value.newBuilder().setIntegerValue(89).build())
.build();
// Apply the condition to records
RecordCondition recordCondition =
RecordCondition.newBuilder()
.setExpressions(
Expressions.newBuilder()
.setConditions(Conditions.newBuilder().addConditions(condition).build())
.build())
.build();
// Associate the de-identification and conditions with the specified fields.
FieldTransformation fieldTransformation =
FieldTransformation.newBuilder()
.setInfoTypeTransformations(infoTypeTransformations)
.addAllFields(fieldIds)
.setCondition(recordCondition)
.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 de-identification: " + response.getItem().getTable());
return response.getItem().getTable();
}
}
}Python
Cloud DLP용 클라이언트 라이브러리를 설치하고 사용하는 방법은 Cloud DLP 클라이언트 라이브러리를 참조하세요.
def deidentify_table_condition_replace_with_info_types(
project,
table_data,
deid_content_list,
info_types,
condition_field=None,
condition_operator=None,
condition_value=None
):
"""Uses the Data Loss Prevention API to de-identify sensitive data in a
table by replacing them with info-types based on a condition.
Args:
project: The Google Cloud project id to use as a parent resource.
table_data: Json string representing table data.
deid_content_list: A list of fields in table to de-identify.
info_types: A list of strings representing info types to look for.
A full list of info categories and types is available from the API.
Examples include "FIRST_NAME", "LAST_NAME", "EMAIL_ADDRESS". '
condition_field: A table field within the record this condition is evaluated against.
condition_operator: Operator used to compare the field or infoType to the value. One of:
RELATIONAL_OPERATOR_UNSPECIFIED, EQUAL_TO, NOT_EQUAL_TO, GREATER_THAN, LESS_THAN, GREATER_THAN_OR_EQUALS,
LESS_THAN_OR_EQUALS, EXISTS.
condition_value: Value to compare against. [Mandatory, except for ``EXISTS`` tests.].
Returns:
De-identified table is returned;
the response from the API is also printed to the terminal.
Example:
table_data = {
"header":[
"email",
"phone number"
"age"
],
"rows":[
[
"robertfrost@xyz.com",
"4232342345"
"45"
],
[
"johndoe@pqr.com",
"4253458383"
"63"
]
]
}
>> $ python deid.py deid_table_condition_replace \
'{"header": ["email", "phone number", "age"],
"rows": [["robertfrost@xyz.com", "4232342345", "45"],
["johndoe@pqr.com", "4253458383", "63"]]}' ["email"] \
["EMAIL_ADDRESS"] "age" "GREATER_THAN" 50
>> '{"header": ["email", "phone number", "age"],
"rows": [["robertfrost@xyz.com", "4232342345", "45"],
["[EMAIL_ADDRESS]", "4253458383", "63"]]}'
"""
# Import the client library
import google.cloud.dlp
# 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_data["header"]]
rows = []
for row in table_data["rows"]:
rows.append({"values": [{"string_value": cell_val} for cell_val in row]})
table = {"headers": headers, "rows": rows}
# Construct the item
item = {"table": table}
# Specify fields to be de-identified
deid_field_list = [{"name": _i} for _i in deid_content_list]
# Construct inspect configuration dictionary
inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}
# Construct condition list
condition = [
{
"field": {"name": condition_field},
"operator": condition_operator,
"value": {"integer_value": condition_value}
}
]
# Construct deidentify configuration dictionary
deidentify_config = {
"record_transformations": {
"field_transformations": [
{
"info_type_transformations": {
"transformations": [
{
"primitive_transformation": {"replace_with_info_type_config": {}}
}
]
},
"fields": deid_field_list,
"condition": {
"expressions": {
"conditions": {"conditions": condition}
}
}
}
]
}
}
# Convert the project id into a full resource id.
parent = f"projects/{project}"
# Call the API.
response = dlp.deidentify_content(
request={
"parent": parent,
"deidentify_config": deidentify_config,
"item": item,
"inspect_config": inspect_config
})
print("Table after de-identification: {}".format(response.item.table))
return response.item.table
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