Transformar as descobertas somente quando condições específicas forem atendidas em outro campo.
Mais informações
Para ver a documentação detalhada que inclui este exemplo de código, consulte:
Exemplo de código
C#
Para saber como instalar e usar a biblioteca de cliente para proteção de dados sensíveis, consulte Bibliotecas de cliente de proteção de dados sensíveis.
Para usar a proteção de dados sensíveis, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.
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
Para saber como instalar e usar a biblioteca de cliente para proteção de dados sensíveis, consulte Bibliotecas de cliente de proteção de dados sensíveis.
Para usar a proteção de dados sensíveis, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.
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
Para saber como instalar e usar a biblioteca de cliente para proteção de dados sensíveis, consulte Bibliotecas de cliente de proteção de dados sensíveis.
Para usar a proteção de dados sensíveis, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.
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
Para saber como instalar e usar a biblioteca de cliente para proteção de dados sensíveis, consulte Bibliotecas de cliente de proteção de dados sensíveis.
Para usar a proteção de dados sensíveis, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.
// 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
Para saber como instalar e usar a biblioteca de cliente para proteção de dados sensíveis, consulte Bibliotecas de cliente de proteção de dados sensíveis.
Para usar a proteção de dados sensíveis, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.
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
Para saber como instalar e usar a biblioteca de cliente para proteção de dados sensíveis, consulte Bibliotecas de cliente de proteção de dados sensíveis.
Para usar a proteção de dados sensíveis, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.
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
A seguir
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