Großen benutzerdefinierten Wörterbuchdetektor erstellen

using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class CreateStoredInfoTypes
{
    public static StoredInfoType Create(
        string projectId,
        string outputPath,
        string storedInfoTypeId)
    {
        // Instantiate the dlp client.
        var dlp = DlpServiceClient.Create();

        // Construct the stored infotype config by specifying the public table and 
        // cloud storage output path.
        var storedInfoTypeConfig = new StoredInfoTypeConfig
        {
            DisplayName = "Github Usernames",
            Description = "Dictionary of Github usernames used in commits.",
            LargeCustomDictionary = new LargeCustomDictionaryConfig
            {
                BigQueryField = new BigQueryField
                {
                    Table = new BigQueryTable
                    {
                        DatasetId = "samples",
                        ProjectId = "bigquery-public-data",
                        TableId = "github_nested"
                    },
                    Field = new FieldId
                    {
                        Name = "actor"
                    }
                },
                OutputPath = new CloudStoragePath
                {
                    Path = outputPath
                }
            },
        };

        // Construct the request.
        var request = new CreateStoredInfoTypeRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            Config = storedInfoTypeConfig,
            StoredInfoTypeId = storedInfoTypeId
        };

        // Call the API.
        StoredInfoType response = dlp.CreateStoredInfoType(request);

        // Inspect the response.
        Console.WriteLine($"Created the stored infotype at path: {response.Name}");

        return response;
    }
}

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// createStoredInfoType creates a custom stored info type based on your input data.
func createStoredInfoType(w io.Writer, projectID, outputPath string) error {
	// projectId := "my-project-id"
	// outputPath := "gs://" + "your-bucket-name" + "path/to/directory"

	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 name you want to give the dictionary.
	displayName := "Github Usernames"

	// Specify a description of the dictionary.
	description := "Dictionary of GitHub usernames used in commits"

	// Specify the path to the location in a Cloud Storage
	// bucket to store the created dictionary.
	cloudStoragePath := &dlppb.CloudStoragePath{
		Path: outputPath,
	}

	// Specify your term list is stored in BigQuery.
	bigQueryField := &dlppb.BigQueryField{
		Table: &dlppb.BigQueryTable{
			ProjectId: "bigquery-public-data",
			DatasetId: "samples",
			TableId:   "github_nested",
		},
		Field: &dlppb.FieldId{
			Name: "actor",
		},
	}

	// Specify the configuration of the large custom dictionary.
	largeCustomDictionaryConfig := &dlppb.LargeCustomDictionaryConfig{
		OutputPath: cloudStoragePath,
		Source: &dlppb.LargeCustomDictionaryConfig_BigQueryField{
			BigQueryField: bigQueryField,
		},
	}

	// Specify the configuration for stored infoType.
	storedInfoTypeConfig := &dlppb.StoredInfoTypeConfig{
		DisplayName: displayName,
		Description: description,
		Type: &dlppb.StoredInfoTypeConfig_LargeCustomDictionary{
			LargeCustomDictionary: largeCustomDictionaryConfig,
		},
	}

	// Combine configurations into a request for the service.
	req := &dlppb.CreateStoredInfoTypeRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		Config:           storedInfoTypeConfig,
		StoredInfoTypeId: "github-usernames",
	}

	// Send the request and receive response from the service.
	resp, err := client.CreateStoredInfoType(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", resp.Name)
	return nil

}

import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.BigQueryField;
import com.google.privacy.dlp.v2.BigQueryTable;
import com.google.privacy.dlp.v2.CloudStoragePath;
import com.google.privacy.dlp.v2.CreateStoredInfoTypeRequest;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.LargeCustomDictionaryConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.StoredInfoType;
import com.google.privacy.dlp.v2.StoredInfoTypeConfig;
import java.io.IOException;

public class CreateStoredInfoType {

  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.

    //The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The path to the location in a GCS bucket to store the created dictionary.
    String outputPath = "gs://" + "your-bucket-name" + "path/to/directory";
    createStoredInfoType(projectId, outputPath);
  }

  // Creates a custom stored info type that contains GitHub usernames used in commits.
  public static void createStoredInfoType(String projectId, String outputPath)
      throws IOException {
    try (DlpServiceClient dlp = DlpServiceClient.create()) {

      // Optionally set a display name and a description.
      String displayName = "GitHub usernames";
      String description = "Dictionary of GitHub usernames used in commits";

      // The output path where the custom dictionary containing the GitHub usernames will be stored.
      CloudStoragePath cloudStoragePath =
          CloudStoragePath.newBuilder()
              .setPath(outputPath)
              .build();

      // The reference to the table containing the GitHub usernames.
      BigQueryTable table = BigQueryTable.newBuilder()
              .setProjectId("bigquery-public-data")
              .setDatasetId("samples")
              .setTableId("github_nested")
              .build();

      // The reference to the BigQuery field that contains the GitHub usernames.
      BigQueryField bigQueryField = BigQueryField.newBuilder()
              .setTable(table)
              .setField(FieldId.newBuilder().setName("actor").build())
              .build();

      LargeCustomDictionaryConfig largeCustomDictionaryConfig =
          LargeCustomDictionaryConfig.newBuilder()
              .setOutputPath(cloudStoragePath)
              .setBigQueryField(bigQueryField)
              .build();

      StoredInfoTypeConfig storedInfoTypeConfig = StoredInfoTypeConfig.newBuilder()
              .setDisplayName(displayName)
              .setDescription(description)
              .setLargeCustomDictionary(largeCustomDictionaryConfig)
              .build();

      // Combine configurations into a request for the service.
      CreateStoredInfoTypeRequest createStoredInfoType = CreateStoredInfoTypeRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setConfig(storedInfoTypeConfig)
              .setStoredInfoTypeId("github-usernames")
              .build();

      // Send the request and receive response from the service.
      StoredInfoType response = dlp.createStoredInfoType(createStoredInfoType);

      // Print the results.
      System.out.println("Created Stored InfoType: " + response.getName());
    }
  }
}

// Import the required libraries
const dlp = require('@google-cloud/dlp');

// Create a DLP client
const dlpClient = new dlp.DlpServiceClient();

// The project ID to run the API call under.
// const projectId = "your-project-id";

// The identifier for the stored infoType
// const infoTypeId = 'github-usernames';

// The path to the location in a Cloud Storage bucket to store the created dictionary
// const outputPath = 'cloud-bucket-path';

// The project ID the table is stored under
// This may or (for public datasets) may not equal the calling project ID
// const dataProjectId = 'my-project';

// The ID of the dataset to inspect, e.g. 'my_dataset'
// const datasetId = 'my_dataset';

// The ID of the table to inspect, e.g. 'my_table'
// const tableId = 'my_table';

// Field ID to be used for constructing dictionary
// const fieldName = 'field_name';

async function createStoredInfoType() {
  // The name you want to give the dictionary.
  const displayName = 'GitHub usernames';
  // A description of the dictionary.
  const description = 'Dictionary of GitHub usernames used in commits';

  // Specify configuration for the large custom dictionary
  const largeCustomDictionaryConfig = {
    outputPath: {
      path: outputPath,
    },
    bigQueryField: {
      table: {
        datasetId: datasetId,
        projectId: dataProjectId,
        tableId: tableId,
      },
      field: {
        name: fieldName,
      },
    },
  };

  // Stored infoType configuration that uses large custom dictionary.
  const storedInfoTypeConfig = {
    displayName: displayName,
    description: description,
    largeCustomDictionary: largeCustomDictionaryConfig,
  };

  // Construct the job creation request to be sent by the client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    config: storedInfoTypeConfig,
    storedInfoTypeId: infoTypeId,
  };

  // Send the job creation request and process the response.
  const [response] = await dlpClient.createStoredInfoType(request);

  // Print results
  console.log(`InfoType stored successfully: ${response.name}`);
}
await createStoredInfoType();

use Google\Cloud\Dlp\V2\BigQueryField;
use Google\Cloud\Dlp\V2\BigQueryTable;
use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\CloudStoragePath;
use Google\Cloud\Dlp\V2\CreateStoredInfoTypeRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\LargeCustomDictionaryConfig;
use Google\Cloud\Dlp\V2\StoredInfoTypeConfig;

/**
 * Create a stored infoType.
 *
 * @param string $callingProjectId  The Google Cloud Project ID to run the API call under.
 * @param string $outputgcsPath     The path to the location in a Cloud Storage bucket to store the created dictionary.
 * @param string $storedInfoTypeId  The name of the custom stored info type.
 * @param string $displayName       The human-readable name to give the stored infoType.
 * @param string $description       A description for the stored infoType to be created.
 */
function create_stored_infotype(
    string $callingProjectId,
    string $outputgcsPath,
    string $storedInfoTypeId,
    string $displayName,
    string $description
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The reference to the table containing the GitHub usernames.
    // The reference to the BigQuery field that contains the GitHub usernames.
    // Note: we have used public data
    $bigQueryField = (new BigQueryField())
        ->setTable((new BigQueryTable())
            ->setDatasetId('samples')
            ->setProjectId('bigquery-public-data')
            ->setTableId('github_nested'))
        ->setField((new FieldId())
            ->setName('actor'));

    $largeCustomDictionaryConfig = (new LargeCustomDictionaryConfig())
        // The output path where the custom dictionary containing the GitHub usernames will be stored.
        ->setOutputPath((new CloudStoragePath())
            ->setPath($outputgcsPath))
        ->setBigQueryField($bigQueryField);

    // Configure the StoredInfoType we want the service to perform.
    $storedInfoTypeConfig = (new StoredInfoTypeConfig())
        ->setDisplayName($displayName)
        ->setDescription($description)
        ->setLargeCustomDictionary($largeCustomDictionaryConfig);

    // Send the stored infoType creation request and process the response.
    $parent = "projects/$callingProjectId/locations/global";
    $createStoredInfoTypeRequest = (new CreateStoredInfoTypeRequest())
        ->setParent($parent)
        ->setConfig($storedInfoTypeConfig)
        ->setStoredInfoTypeId($storedInfoTypeId);
    $response = $dlp->createStoredInfoType($createStoredInfoTypeRequest);

    // Print results.
    printf('Successfully created Stored InfoType : %s', $response->getName());
}

import google.cloud.dlp


def create_stored_infotype(
    project: str,
    stored_info_type_id: str,
    output_bucket_name: str,
) -> None:
    """Uses the Data Loss Prevention API to create stored infoType.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        stored_info_type_id: The identifier for large custom dictionary.
        output_bucket_name: The name of the bucket in Google Cloud Storage
            that would store the created dictionary.
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct the stored infoType Configuration dictionary. This example creates
    # a stored infoType from a term list stored in a publicly available BigQuery
    # database (bigquery-public-data.samples.github_nested).
    # The database contains all GitHub usernames used in commits.
    stored_info_type_config = {
        "display_name": "GitHub usernames",
        "description": "Dictionary of GitHub usernames used in commits",
        "large_custom_dictionary": {
            "output_path": {"path": f"gs://{output_bucket_name}"},
            # We can either use bigquery field or gcs file as a term list input option.
            "big_query_field": {
                "table": {
                    "project_id": "bigquery-public-data",
                    "dataset_id": "samples",
                    "table_id": "github_nested",
                },
                "field": {"name": "actor"},
            },
        },
    }

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API.
    response = dlp.create_stored_info_type(
        request={
            "parent": parent,
            "config": stored_info_type_config,
            "stored_info_type_id": stored_info_type_id,
        }
    )

    # Print the result
    print(f"Created Stored InfoType: {response.name}")

using System;
using Google.Cloud.Dlp.V2;
using Google.Protobuf.WellKnownTypes;

public class UpdateStoredInfoTypes
{
    public static StoredInfoType Update(
        string gcsFileUri,
        string storedInfoTypePath,
        string outputPath)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct the stored infotype config. Here, we will change the source from bigquery table to GCS file.
        var storedConfig = new StoredInfoTypeConfig
        {
            LargeCustomDictionary = new LargeCustomDictionaryConfig
            {
                CloudStorageFileSet = new CloudStorageFileSet
                {
                    Url = gcsFileUri
                },
                OutputPath = new CloudStoragePath
                {
                    Path = outputPath
                }
            }
        };

        // Construct the request using the stored config by specifying the update mask object
        // which represent the path of field to be updated.
        var request = new UpdateStoredInfoTypeRequest
        {
            Config = storedConfig,
            Name = storedInfoTypePath,
            UpdateMask = new FieldMask
            {
                Paths =
                {
                    "large_custom_dictionary.cloud_storage_file_set.url"
                }
            }
        };

        // Call the API.
        StoredInfoType response = dlp.UpdateStoredInfoType(request);

        // Inspect the result.
        Console.WriteLine(response);
        return response;
    }
}

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
	"google.golang.org/protobuf/types/known/fieldmaskpb"
)

// updateStoredInfoType uses the Data Loss Prevention API to update stored infoType
// detector by changing the source term list from one stored in Bigquery
// to one stored in Cloud Storage.
func updateStoredInfoType(w io.Writer, projectID, gcsUri, fileSetUrl, infoTypeId string) error {
	// projectId := "your-project-id"
	// gcsUri := "gs://" + "your-bucket-name" + "/path/to/your/file.txt"
	// fileSetUrl := "your-cloud-storage-file-set"
	// infoTypeId := "your-stored-info-type-id"

	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()

	// Set path in Cloud Storage.
	cloudStoragePath := &dlppb.CloudStoragePath{
		Path: gcsUri,
	}
	cloudStorageFileSet := &dlppb.CloudStorageFileSet{
		Url: fileSetUrl,
	}

	// Configuration for a custom dictionary created from a data source of any size
	largeCustomDictionaryConfig := &dlppb.LargeCustomDictionaryConfig{
		OutputPath: cloudStoragePath,
		Source: &dlppb.LargeCustomDictionaryConfig_CloudStorageFileSet{
			CloudStorageFileSet: cloudStorageFileSet,
		},
	}

	// Set configuration for stored infoTypes.
	storedInfoTypeConfig := &dlppb.StoredInfoTypeConfig{
		Type: &dlppb.StoredInfoTypeConfig_LargeCustomDictionary{
			LargeCustomDictionary: largeCustomDictionaryConfig,
		},
	}

	// Set mask to control which fields get updated.
	fieldMask := &fieldmaskpb.FieldMask{
		Paths: []string{"large_custom_dictionary.cloud_storage_file_set.url"},
	}
	// Construct the job creation request to be sent by the client.
	req := &dlppb.UpdateStoredInfoTypeRequest{
		Name:       fmt.Sprint("projects/" + projectID + "/storedInfoTypes/" + infoTypeId),
		Config:     storedInfoTypeConfig,
		UpdateMask: fieldMask,
	}

	// Use the client to send the API request.
	resp, err := client.UpdateStoredInfoType(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", resp.Name)
	return nil
}

import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.CloudStorageFileSet;
import com.google.privacy.dlp.v2.CloudStoragePath;
import com.google.privacy.dlp.v2.LargeCustomDictionaryConfig;
import com.google.privacy.dlp.v2.StoredInfoType;
import com.google.privacy.dlp.v2.StoredInfoTypeConfig;
import com.google.privacy.dlp.v2.StoredInfoTypeName;
import com.google.privacy.dlp.v2.UpdateStoredInfoTypeRequest;
import com.google.protobuf.FieldMask;
import java.io.IOException;

public class UpdateStoredInfoType {
  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The path to file in GCS bucket that holds a collection of words and phrases to be searched by
    // the new infoType detector.
    String filePath = "gs://" + "your-bucket-name" + "/path/to/your/file.txt";
    // The path to the location in a GCS bucket to store the created dictionary.
    String outputPath = "your-cloud-storage-file-set";
    // The name of the stored InfoType which is to be updated.
    String infoTypeId = "your-stored-info-type-id";
    updateStoredInfoType(projectId, filePath, outputPath, infoTypeId);
  }

  // Update the stored info type rebuilding the Custom dictionary.
  public static void updateStoredInfoType(
      String projectId, String filePath, String outputPath, String infoTypeId) 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()) {
      // Set path in Cloud Storage.
      CloudStoragePath cloudStoragePath = CloudStoragePath.newBuilder().setPath(outputPath).build();
      CloudStorageFileSet cloudStorageFileSet =
          CloudStorageFileSet.newBuilder().setUrl(filePath).build();

      // Configuration for a custom dictionary created from a data source of any size
      LargeCustomDictionaryConfig largeCustomDictionaryConfig =
          LargeCustomDictionaryConfig.newBuilder()
              .setOutputPath(cloudStoragePath)
              .setCloudStorageFileSet(cloudStorageFileSet)
              .build();

      // Set configuration for stored infoTypes.
      StoredInfoTypeConfig storedInfoTypeConfig =
          StoredInfoTypeConfig.newBuilder()
              .setLargeCustomDictionary(largeCustomDictionaryConfig)
              .build();

      // Set mask to control which fields get updated.
      // Refer https://protobuf.dev/reference/protobuf/google.protobuf/#field-mask for constructing the field mask paths.
      FieldMask fieldMask =
          FieldMask.newBuilder()
              .addPaths("large_custom_dictionary.cloud_storage_file_set.url")
              .build();

      // Construct the job creation request to be sent by the client.
      UpdateStoredInfoTypeRequest updateStoredInfoTypeRequest =
          UpdateStoredInfoTypeRequest.newBuilder()
              .setName(
                  StoredInfoTypeName.ofProjectStoredInfoTypeName(projectId, infoTypeId).toString())
              .setConfig(storedInfoTypeConfig)
              .setUpdateMask(fieldMask)
              .build();

      // Send the job creation request and process the response.
      StoredInfoType response = dlp.updateStoredInfoType(updateStoredInfoTypeRequest);

      // Print the results.
      System.out.println("Updated stored InfoType successfully: " + response.getName());
    }
  }
}

// Import the required libraries
const dlp = require('@google-cloud/dlp');

// Create a DLP client
const dlpClient = new dlp.DlpServiceClient();

// The project ID to run the API call under.
// const projectId = "your-project-id";

// The identifier for the stored infoType
// const infoTypeId = 'github-usernames';

// The path to the location in a Cloud Storage bucket to store the created dictionary
// const outputPath = 'cloud-bucket-path';

// Path of file containing term list
// const cloudStorageFileSet = 'gs://[PATH_TO_GS]';

async function updateStoredInfoType() {
  // Specify configuration of the large custom dictionary including cloudStorageFileSet and outputPath
  const largeCustomDictionaryConfig = {
    outputPath: {
      path: outputPath,
    },
    cloudStorageFileSet: {
      url: fileSetUrl,
    },
  };

  // Construct the job creation request to be sent by the client.
  const updateStoredInfoTypeRequest = {
    name: `projects/${projectId}/storedInfoTypes/${infoTypeId}`,
    config: {
      largeCustomDictionary: largeCustomDictionaryConfig,
    },
    updateMask: {
      paths: ['large_custom_dictionary.cloud_storage_file_set.url'],
    },
  };

  // Send the job creation request and process the response.
  const [response] = await dlpClient.updateStoredInfoType(
    updateStoredInfoTypeRequest
  );

  // Print the results.
  console.log(`InfoType updated successfully: ${JSON.stringify(response)}`);
}
await updateStoredInfoType();

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\CloudStorageFileSet;
use Google\Cloud\Dlp\V2\CloudStoragePath;
use Google\Cloud\Dlp\V2\LargeCustomDictionaryConfig;
use Google\Cloud\Dlp\V2\StoredInfoTypeConfig;
use Google\Cloud\Dlp\V2\UpdateStoredInfoTypeRequest;
use Google\Protobuf\FieldMask;

/**
 * Rebuild/Update the stored infoType.
 *
 * @param string $callingProjectId  The Google Cloud Project ID to run the API call under.
 * @param string $gcsPath           The path to file in GCS bucket that holds a collection of words and phrases to be searched by the new infoType detector.
 * @param string $outputgcsPath     The path to the location in a Cloud Storage bucket to store the created dictionary.
 * @param string $storedInfoTypeId  The name of the stored InfoType which is to be updated.
 *
 */
function update_stored_infotype(
    string $callingProjectId,
    string $gcsPath,
    string $outputgcsPath,
    string $storedInfoTypeId
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Set path in Cloud Storage.
    $cloudStorageFileSet = (new CloudStorageFileSet())
        ->setUrl($gcsPath);

    // Configuration for a custom dictionary created from a data source of any size
    $largeCustomDictionaryConfig = (new LargeCustomDictionaryConfig())
        ->setOutputPath((new CloudStoragePath())
            ->setPath($outputgcsPath))
        ->setCloudStorageFileSet($cloudStorageFileSet);

    // Set configuration for stored infoTypes.
    $storedInfoTypeConfig = (new StoredInfoTypeConfig())
        ->setLargeCustomDictionary($largeCustomDictionaryConfig);

    // Send the stored infoType creation request and process the response.

    $name = "projects/$callingProjectId/locations/global/storedInfoTypes/" . $storedInfoTypeId;
    // Set mask to control which fields get updated.
    // Refer https://protobuf.dev/reference/protobuf/google.protobuf/#field-mask for constructing the field mask paths.
    $fieldMask = (new FieldMask())
        ->setPaths([
            'large_custom_dictionary.cloud_storage_file_set.url'
        ]);

    // Run request
    $updateStoredInfoTypeRequest = (new UpdateStoredInfoTypeRequest())
        ->setName($name)
        ->setConfig($storedInfoTypeConfig)
        ->setUpdateMask($fieldMask);
    $response = $dlp->updateStoredInfoType($updateStoredInfoTypeRequest);

    // Print results
    printf('Successfully update Stored InforType : %s' . PHP_EOL, $response->getName());
}

import google.cloud.dlp


def update_stored_infotype(
    project: str,
    stored_info_type_id: str,
    gcs_input_file_path: str,
    output_bucket_name: str,
) -> None:
    """Uses the Data Loss Prevention API to update stored infoType
    detector by changing the source term list from one stored in Bigquery
    to one stored in Cloud Storage.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        stored_info_type_id: The identifier of stored infoType which is to
            be updated.
        gcs_input_file_path: The url in the format <bucket>/<path_to_file>
            for the location of the source term list.
        output_bucket_name: The name of the bucket in Google Cloud Storage
            where large dictionary is stored.
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct the stored infoType configuration dictionary.
    stored_info_type_config = {
        "large_custom_dictionary": {
            "output_path": {"path": f"gs://{output_bucket_name}"},
            "cloud_storage_file_set": {"url": f"gs://{gcs_input_file_path}"},
        }
    }

    # Set mask to control which fields get updated. For more details, refer
    # https://protobuf.dev/reference/protobuf/google.protobuf/#field-mask
    # for constructing the field mask paths.
    field_mask = {"paths": ["large_custom_dictionary.cloud_storage_file_set.url"]}

    # Convert the stored infoType id into a full resource id.
    stored_info_type_name = (
        f"projects/{project}/locations/global/storedInfoTypes/{stored_info_type_id}"
    )

    # Call the API.
    response = dlp.update_stored_info_type(
        request={
            "name": stored_info_type_name,
            "config": stored_info_type_config,
            "update_mask": field_mask,
        }
    )

    # Print the result
    print(f"Updated stored infoType successfully: {response.name}")

using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class InspectDataWithStoredInfotypes
{
    public static InspectContentResponse Inspect(
        string projectId,
        string storedInfotypePath,
        string text,
        InfoType infoType = null)
    {
        // Instantiate the dlp client.
        var dlp = DlpServiceClient.Create();

        // Construct the infotype if null.
        var infotype = infoType ?? new InfoType { Name = "GITHUB_LOGINS" };

        // Construct the inspect config using stored infotype.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infotype,
                    StoredType = new StoredType { Name = storedInfotypePath }
                }
            },
            IncludeQuote = true
        };

        // Construct the request using inspect config.
        var request = new InspectContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        InspectContentResponse response = dlp.InspectContent(request);

        // Inspect the results.
        var findings = response.Result.Findings;
        Console.WriteLine($"Findings: {findings.Count}");
        foreach (var f in findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// inspectWithStoredInfotype inspects the given text using the specified stored infoType detector.
func inspectWithStoredInfotype(w io.Writer, projectID, infoTypeId, textToDeidentify string) error {
	// projectId := "your-project-id"
	// infoTypeId := "your-info-type-id"
	// textToDeidentify := "This commit was made by kewin2010"

	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 content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: textToDeidentify,
		},
	}

	// Specify the info type the inspection will look for.
	infoType := &dlppb.InfoType{
		Name: "GITHUB_LOGINS",
	}

	// Specify the stored info type the inspection will look for.
	storedType := &dlppb.StoredType{
		Name: infoTypeId,
	}

	customInfoType := &dlppb.CustomInfoType{
		InfoType: infoType,
		Type: &dlppb.CustomInfoType_StoredType{
			StoredType: storedType,
		},
	}

	// Specify how the content should be inspected.
	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			customInfoType,
		},
		IncludeQuote: true,
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent:        fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: inspectConfig,
		Item:          contentItem,
	}

	// Use the client to send the API request.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	fmt.Fprintf(w, "Findings: %d\n", len(resp.Result.Findings))
	for _, f := range resp.Result.Findings {
		fmt.Fprintf(w, "\tQuote: %s\n", f.Quote)
		fmt.Fprintf(w, "\tInfo type: %s\n", f.InfoType.Name)
		fmt.Fprintf(w, "\tLikelihood: %s\n", f.Likelihood)
	}
	return nil
}

import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CustomInfoType;
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.LocationName;
import com.google.privacy.dlp.v2.ProjectStoredInfoTypeName;
import com.google.privacy.dlp.v2.StoredType;
import java.io.IOException;

public class InspectWithStoredInfotype {

  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The sample assumes that you have an existing stored infoType.
    // To create a stored InfoType refer:
    // https://cloud.google.com/dlp/docs/creating-stored-infotypes#create-storedinfotye 
    String storedInfoTypeId = "your-info-type-id";
    // The string to de-identify.
    String textToInspect =
        "My phone number is (223) 456-7890 and my email address is gary@example.com.";
    inspectWithStoredInfotype(projectId, storedInfoTypeId, textToInspect);
  }

  //  Inspects the given text using the specified stored infoType detector.
  public static void inspectWithStoredInfotype(
      String projectId, String storedInfoTypeId, 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 content to be inspected.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToInspect).build();

      InfoType infoType = InfoType.newBuilder().setName("STORED_TYPE").build();

      // Reference to the existing StoredInfoType to inspect the data.
      StoredType storedType = StoredType.newBuilder()
              .setName(ProjectStoredInfoTypeName.of(projectId, storedInfoTypeId).toString())
              .build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder().setInfoType(infoType).setStoredType(storedType).build();

      // Construct the configuration for the Inspect request.
      InspectConfig inspectConfig =
          InspectConfig.newBuilder()
              .addCustomInfoTypes(customInfoType)
              .setIncludeQuote(true)
              .build();

      // Construct the Inspect request to be sent by the client.
      InspectContentRequest inspectContentRequest =
          InspectContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setInspectConfig(inspectConfig)
              .setItem(contentItem)
              .build();

      // Use the client to send the API request.
      InspectContentResponse response = dlp.inspectContent(inspectContentRequest);

      // 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("\tInfoType: " + f.getInfoType().getName());
        System.out.println("\tLikelihood: " + f.getLikelihood() + "\n");
      }
    }
  }
}

// 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 = 'your-project-id';

// The custom info-type id created and stored in the bucket.
// const infoTypeId = 'your-info-type-id';

// The string to inspect.
// const string = 'My phone number is (223) 456-7890 and my email address is gary@example.com.';

async function inspectWithStoredInfotype() {
  // Reference to the existing StoredInfoType to inspect the data.
  const customInfoType = {
    infoType: {
      name: 'GITHUB_LOGINS',
    },
    storedType: {
      name: infoTypeId,
    },
  };

  // Construct the configuration for the Inspect request.
  const inspectConfig = {
    customInfoTypes: [customInfoType],
    includeQuote: true,
  };

  // Construct the Inspect request to be sent by the client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: {
      value: string,
    },
  };
  // 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.');
  }
}
await inspectWithStoredInfotype();

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\Likelihood;
use Google\Cloud\Dlp\V2\StoredType;

/**
 * Inspect with stored infoType.
 * Scan content using a large custom dictionary detector.
 *
 * @param string $projectId             The Google Cloud Project ID to run the API call under.
 * @param string $storedInfoTypeName    The name of the stored infotype whose This value must be in the format
 * projects/projectName/(locations/locationId)/storedInfoTypes/storedInfoTypeName.
 * @param string $textToInspect         The string to inspect.
 */
function inspect_with_stored_infotype(
    string $projectId,
    string $storedInfoTypeName,
    string $textToInspect
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify the content to be inspected.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // Reference to the existing StoredInfoType to inspect the data.
    $customInfoType = (new CustomInfoType())
        ->setInfoType((new InfoType())
            ->setName('STORED_TYPE'))
        ->setStoredType((new StoredType())
            ->setName($storedInfoTypeName));

    // Construct the configuration for the Inspect request.
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType])
        ->setIncludeQuote(true);

    // 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()));
        }
    }
}

import google.cloud.dlp


def inspect_with_stored_infotype(
    project: str,
    stored_info_type_id: str,
    content_string: str,
) -> None:
    """Uses the Data Loss Prevention API to inspect/scan content using stored
    infoType.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to inspect.
        stored_info_type_id: The identifier of stored infoType used to inspect.
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert stored infoType id into full resource id
    stored_type_name = f"projects/{project}/storedInfoTypes/{stored_info_type_id}"

    # Construct a custom info type dictionary using stored infoType.
    custom_info_types = [
        {
            "info_type": {"name": "STORED_TYPE"},
            "stored_type": {
                "name": stored_type_name,
            },
        }
    ]

    # Construct the inspection configuration dictionary.
    inspect_config = {
        "custom_info_types": custom_info_types,
        "include_quote": True,
    }

    # Construct the `item` to be inspected using stored infoType.
    item = {"value": content_string}

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # 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.")