Ergebnisse nur transformieren, wenn bestimmte Bedingungen für ein anderes Feld erfüllt sind
Weitere Informationen
Eine ausführliche Dokumentation, die dieses Codebeispiel enthält, finden Sie hier:
Codebeispiel
C#
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
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;
}
}Go
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
import (
"context"
"fmt"
"io"
dlp "cloud.google.com/go/dlp/apiv2"
"cloud.google.com/go/dlp/apiv2/dlppb"
)
// deidentifyTableConditionInfoTypes de-identifies table data
// using conditional logic and replace with infoTypes
func deidentifyTableConditionInfoTypes(w io.Writer, projectID string, columnNames []string) error {
// projectId := "your-project-id"
// columnNames := []string{"PATIENT", "FACTOID"}
row1 := &dlppb.Table_Row{
Values: []*dlppb.Value{
{Type: &dlppb.Value_StringValue{StringValue: "22"}},
{Type: &dlppb.Value_StringValue{StringValue: "Jane Austen"}},
{Type: &dlppb.Value_StringValue{StringValue: "21"}},
{Type: &dlppb.Value_StringValue{StringValue: "There are 14 kisses in Jane Austen's novels."}},
},
}
row2 := &dlppb.Table_Row{
Values: []*dlppb.Value{
{Type: &dlppb.Value_StringValue{StringValue: "55"}},
{Type: &dlppb.Value_StringValue{StringValue: "Mark Twain"}},
{Type: &dlppb.Value_StringValue{StringValue: "75"}},
{Type: &dlppb.Value_StringValue{StringValue: "Mark Twain loved cats."}},
},
}
row3 := &dlppb.Table_Row{
Values: []*dlppb.Value{
{Type: &dlppb.Value_StringValue{StringValue: "101"}},
{Type: &dlppb.Value_StringValue{StringValue: "Charles Dickens"}},
{Type: &dlppb.Value_StringValue{StringValue: "95"}},
{Type: &dlppb.Value_StringValue{StringValue: "Charles Dickens name was a curse invented by Shakespeare."}},
},
}
table := &dlppb.Table{
Headers: []*dlppb.FieldId{
{Name: "AGE"},
{Name: "PATIENT"},
{Name: "HAPPINESS SCORE"},
{Name: "FACTOID"},
},
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 how the content should be de-identified.
// Select type of info to be replaced.
infoTypes := []*dlppb.InfoType{
{Name: "PERSON_NAME"},
}
// Specify that findings should be replaced with corresponding info type name.
primitiveTransformation := &dlppb.PrimitiveTransformation{
Transformation: &dlppb.PrimitiveTransformation_ReplaceWithInfoTypeConfig{},
}
// Associate info type with the replacement strategy
infoTypeTransformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
InfoTypes: infoTypes,
PrimitiveTransformation: primitiveTransformation,
}
infoTypeTransformations := &dlppb.InfoTypeTransformations{
Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
infoTypeTransformation,
},
}
// Specify fields to be de-identified.
var f []*dlppb.FieldId
for _, c := range columnNames {
f = append(f, &dlppb.FieldId{Name: c})
}
// Specify when the above fields should be de-identified.
condition := &dlppb.RecordCondition{
Expressions: &dlppb.RecordCondition_Expressions{
Type: &dlppb.RecordCondition_Expressions_Conditions{
Conditions: &dlppb.RecordCondition_Conditions{
Conditions: []*dlppb.RecordCondition_Condition{
{
Field: &dlppb.FieldId{
Name: "AGE",
},
Operator: dlppb.RelationalOperator_GREATER_THAN,
Value: &dlppb.Value{
Type: &dlppb.Value_IntegerValue{
IntegerValue: 89,
},
},
},
},
},
},
},
}
// Associate the de-identification and conditions with the specified fields.
fieldTransformation := &dlppb.FieldTransformation{
Fields: f,
Condition: condition,
Transformation: &dlppb.FieldTransformation_InfoTypeTransformations{
InfoTypeTransformations: infoTypeTransformations,
},
}
recordTransformations := &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: recordTransformations,
},
},
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
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
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 main(String[] args) 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();
}
}
}Node.js
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');
// Initialize google DLP Client
const dlp = new DLP.DlpServiceClient();
// The project ID to run the API call under
// const projectId = 'my-project';
// Construct the tabular data
const tablularData = {
headers: [
{name: 'AGE'},
{name: 'PATIENT'},
{name: 'HAPPINESS SCORE'},
{name: 'FACTOID'},
],
rows: [
{
values: [
{integerValue: 101},
{stringValue: 'Charles Dickens'},
{integerValue: 95},
{
stringValue:
'Charles Dickens name was a curse invented by Shakespeare.',
},
],
},
{
values: [
{integerValue: 22},
{stringValue: 'Jane Austen'},
{integerValue: 21},
{stringValue: "There are 14 kisses in Jane Austen's novels."},
],
},
{
values: [
{integerValue: 55},
{stringValue: 'Mark Twain'},
{integerValue: 75},
{stringValue: 'Mark Twain loved cats.'},
],
},
],
};
async function deIdentifyTableConditionalInfoType() {
// Specify fields to be de-identified.
const fieldIds = [{name: 'PATIENT'}, {name: 'FACTOID'}];
// Associate info type with the replacement strategy
const infoTypeTransformations = {
transformations: [
{
infoTypes: [{name: 'PERSON_NAME'}],
primitiveTransformation: {
replaceWithInfoTypeConfig: {},
},
},
],
};
// Specify when the above fields should be de-identified.
const condition = {
expressions: {
conditions: {
conditions: [
{
field: {name: 'AGE'},
operator: 'GREATER_THAN',
value: {integerValue: 89},
},
],
},
},
};
// Apply the condition to records.
const recordTransformations = {
fieldTransformations: [
{
infoTypeTransformations,
fields: fieldIds,
condition: condition,
},
],
};
// Combine configurations into a request for the service.
const request = {
parent: `projects/${projectId}/locations/global`,
item: {
table: tablularData,
},
deidentifyConfig: {
recordTransformations,
},
};
// 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)}`
);
}
deIdentifyTableConditionalInfoType();PHP
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
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\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordCondition;
use Google\Cloud\Dlp\V2\RecordCondition\Condition;
use Google\Cloud\Dlp\V2\RecordCondition\Conditions;
use Google\Cloud\Dlp\V2\RecordCondition\Expressions;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\RelationalOperator;
use Google\Cloud\Dlp\V2\ReplaceWithInfoTypeConfig;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;
/**
* De-identify table data using conditional logic and replace with infoTypes.
* Transform findings only when specific conditions are met on another field.
*
* @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_table_condition_infotypes(
// TODO(developer): Replace sample parameters before running the code.
string $callingProjectId,
string $inputCsvFile = './test/data/table1.csv',
string $outputCsvFile = './test/data/deidentify_table_condition_infotypes_output.csv'
): 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 what content you want the service to de-identify.
$content = (new ContentItem())
->setTable($tableToDeIdentify);
// Specify the type of info the inspection will look for.
$personNameInfoType = (new InfoType())
->setName('PERSON_NAME');
// Specify that findings should be replaced with corresponding info type name.
$primitiveTransformation = (new PrimitiveTransformation())
->setReplaceWithInfoTypeConfig(new ReplaceWithInfoTypeConfig());
// Associate info type with the replacement strategy
$infoTypeTransformation = (new InfoTypeTransformation())
->setPrimitiveTransformation($primitiveTransformation)
->setInfoTypes([$personNameInfoType]);
$infoTypeTransformations = (new InfoTypeTransformations())
->setTransformations([$infoTypeTransformation]);
// Specify fields to be de-identified.
$fieldIds = [
(new FieldId())->setName('PATIENT'),
(new FieldId())->setName('FACTOID'),
];
// Specify when the above fields should be de-identified.
$condition = (new Condition())
->setField((new FieldId())
->setName('AGE'))
->setOperator(RelationalOperator::GREATER_THAN)
->setValue((new Value())
->setIntegerValue(89));
// Apply the condition to records
$recordCondition = (new RecordCondition())
->setExpressions((new Expressions())
->setConditions((new Conditions())
->setConditions([$condition])
)
);
// Associate the de-identification and conditions with the specified fields.
$fieldTransformation = (new FieldTransformation())
->setInfoTypeTransformations($infoTypeTransformations)
->setFields($fieldIds)
->setCondition($recordCondition);
$recordtransformations = (new RecordTransformations())
->setFieldTransformations([$fieldTransformation]);
$deidentifyConfig = (new DeidentifyConfig())
->setRecordTransformations($recordtransformations);
// Run request
$deidentifyContentRequest = (new DeidentifyContentRequest())
->setParent($parent)
->setDeidentifyConfig($deidentifyConfig)
->setItem($content);
$response = $dlp->deidentifyContent($deidentifyContentRequest);
// Print 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, $values);
};
printf($outputCsvFile);
}Python
Informationen zum Installieren und Verwenden der Clientbibliothek für den Schutz sensibler Daten finden Sie unter Clientbibliotheken für den Schutz sensibler Daten.
Richten Sie Standardanmeldedaten für Anwendungen ein, um sich beim Schutz sensibler Daten zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.
from typing import Dict, List, Union
import google.cloud.dlp
from google.cloud.dlp_v2 import types
def deidentify_table_condition_replace_with_info_types(
project: str,
table_data: Dict[str, Union[List[str], List[List[str]]]],
deid_content_list: List[str],
info_types: List[str],
condition_field: str = None,
condition_operator: str = None,
condition_value: int = None,
) -> types.dlp.Table:
"""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:
>> $ python deidentify_table_condition_infotypes.py \
'{"header": ["email", "phone number", "age"],
"rows": [["robertfrost@example.com", "4232342345", "45"],
["johndoe@example.com", "4253458383", "63"]]}' ["email"] \
["EMAIL_ADDRESS"] "age" "GREATER_THAN" 50
>> '{"header": ["email", "phone number", "age"],
"rows": [["robertfrost@example.com", "4232342345", "45"],
["[EMAIL_ADDRESS]", "4253458383", "63"]]}'
"""
# 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}/locations/global"
# Call the API.
response = dlp.deidentify_content(
request={
"parent": parent,
"deidentify_config": deidentify_config,
"item": item,
"inspect_config": inspect_config,
}
)
print(f"Table after de-identification: {response.item.table}")
return response.item.table
Nächste Schritte
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