Class DlpServiceAsyncClient (3.18.1)

DlpServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dlp_v2.services.dlp_service.transports.base.DlpServiceTransport, typing.Callable[[...], google.cloud.dlp_v2.services.dlp_service.transports.base.DlpServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

The Cloud Data Loss Prevention (DLP) API is a service that allows clients to detect the presence of Personally Identifiable Information (PII) and other privacy-sensitive data in user-supplied, unstructured data streams, like text blocks or images. The service also includes methods for sensitive data redaction and scheduling of data scans on Google Cloud Platform based data sets.

To learn more about concepts and find how-to guides see https://cloud.google.com/sensitive-data-protection/docs/.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type	Description
`str`	The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type	Description
`DlpServiceTransport`	The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type	Description
`str`	The universe domain used by the client instance.

Methods

DlpServiceAsyncClient

DlpServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dlp_v2.services.dlp_service.transports.base.DlpServiceTransport, typing.Callable[[...], google.cloud.dlp_v2.services.dlp_service.transports.base.DlpServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the dlp service async client.

Parameters
Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Optional[Union[str,DlpServiceTransport,Callable[..., DlpServiceTransport]]]` The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the DlpServiceTransport constructor. If set to None, a transport is chosen automatically.
`client_options`	`Optional[Union[google.api_core.client_options.ClientOptions, dict]]` Custom options for the client. 1. The `api_endpoint` property can be used to override the default endpoint provided by the client when `transport` is not explicitly provided. Only if this property is not set and `transport` was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The `universe_domain` property can be used to override the default "googleapis.com" universe. Note that `api_endpoint` property still takes precedence; and `universe_domain` is currently not supported for mTLS.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions
Type	Description
`google.auth.exceptions.MutualTlsChannelError`	If mutual TLS transport creation failed for any reason.

activate_job_trigger

activate_job_trigger(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ActivateJobTriggerRequest, dict]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DlpJob

Activate a job trigger. Causes the immediate execute of a trigger instead of waiting on the trigger event to occur.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_activate_job_trigger():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ActivateJobTriggerRequest(
        name="name_value",
    )

    # Make the request
    response = await client.activate_job_trigger(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ActivateJobTriggerRequest, dict]]` The request object. Request message for ActivateJobTrigger.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DlpJob`	Combines all of the information about a DLP job.

cancel_dlp_job

cancel_dlp_job(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.CancelDlpJobRequest, dict]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running DlpJob. The server makes a best effort to cancel the DlpJob, but success is not guaranteed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_cancel_dlp_job():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.CancelDlpJobRequest(
        name="name_value",
    )

    # Make the request
    await client.cancel_dlp_job(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.CancelDlpJobRequest, dict]]` The request object. The request message for canceling a DLP job.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

column_data_profile_path

column_data_profile_path(
    organization: str, location: str, column_data_profile: str
) -> str

Returns a fully-qualified column_data_profile string.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

connection_path

connection_path(project: str, location: str, connection: str) -> str

Returns a fully-qualified connection string.

create_connection

create_connection(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.CreateConnectionRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    connection: typing.Optional[google.cloud.dlp_v2.types.dlp.Connection] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.Connection

Create a Connection to an external data source.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_create_connection():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    connection = dlp_v2.Connection()
    connection.cloud_sql.username_password.username = "username_value"
    connection.cloud_sql.username_password.password_secret_version_name = "password_secret_version_name_value"
    connection.cloud_sql.max_connections = 1608
    connection.cloud_sql.database_engine = "DATABASE_ENGINE_POSTGRES"
    connection.state = "ERROR"

    request = dlp_v2.CreateConnectionRequest(
        parent="parent_value",
        connection=connection,
    )

    # Make the request
    response = await client.create_connection(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.CreateConnectionRequest, dict]]` The request object. Request message for CreateConnection.
`parent`	`str` Required. Parent resource name in the format: `projects/{project}/locations/{location}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`connection`	`Connection` Required. The connection resource. This corresponds to the `connection` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.Connection`	A data connection to allow DLP to profile data in locations that require additional configuration.

create_deidentify_template

create_deidentify_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.dlp_v2.types.dlp.CreateDeidentifyTemplateRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    deidentify_template: typing.Optional[
        google.cloud.dlp_v2.types.dlp.DeidentifyTemplate
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DeidentifyTemplate

Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_create_deidentify_template():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.CreateDeidentifyTemplateRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.create_deidentify_template(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.CreateDeidentifyTemplateRequest, dict]]` The request object. Request message for CreateDeidentifyTemplate.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID - Organizations scope, location specified: `organizations/`\ ORG_ID\ `/locations/`\ LOCATION_ID - Organizations scope, no location specified (defaults to global): `organizations/`\ ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`deidentify_template`	`DeidentifyTemplate` Required. The DeidentifyTemplate to create. This corresponds to the `deidentify_template` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DeidentifyTemplate`	DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more.

create_discovery_config

create_discovery_config(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.CreateDiscoveryConfigRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    discovery_config: typing.Optional[
        google.cloud.dlp_v2.types.dlp.DiscoveryConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DiscoveryConfig

Creates a config for discovery to scan and profile storage.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_create_discovery_config():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    discovery_config = dlp_v2.DiscoveryConfig()
    discovery_config.status = "PAUSED"

    request = dlp_v2.CreateDiscoveryConfigRequest(
        parent="parent_value",
        discovery_config=discovery_config,
    )

    # Make the request
    response = await client.create_discovery_config(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.CreateDiscoveryConfigRequest, dict]]` The request object. Request message for CreateDiscoveryConfig.
`parent`	`str` Required. Parent resource name. The format of this value is as follows: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`discovery_config`	`DiscoveryConfig` Required. The DiscoveryConfig to create. This corresponds to the `discovery_config` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DiscoveryConfig`	Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention).

create_dlp_job

create_dlp_job(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.CreateDlpJobRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    inspect_job: typing.Optional[google.cloud.dlp_v2.types.dlp.InspectJobConfig] = None,
    risk_job: typing.Optional[
        google.cloud.dlp_v2.types.dlp.RiskAnalysisJobConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DlpJob

Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.

When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_create_dlp_job():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.CreateDlpJobRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.create_dlp_job(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.CreateDlpJobRequest, dict]]` The request object. Request message for CreateDlpJobRequest. Used to initiate long running jobs such as calculating risk metrics or inspecting Google Cloud Storage.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`inspect_job`	`InspectJobConfig` An inspection job scans a storage repository for InfoTypes. This corresponds to the `inspect_job` field on the `request` instance; if `request` is provided, this should not be set.
`risk_job`	`RiskAnalysisJobConfig` A risk analysis job calculates re-identification risk metrics for a BigQuery table. This corresponds to the `risk_job` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DlpJob`	Combines all of the information about a DLP job.

create_inspect_template

create_inspect_template(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.CreateInspectTemplateRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    inspect_template: typing.Optional[
        google.cloud.dlp_v2.types.dlp.InspectTemplate
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.InspectTemplate

Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_create_inspect_template():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.CreateInspectTemplateRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.create_inspect_template(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.CreateInspectTemplateRequest, dict]]` The request object. Request message for CreateInspectTemplate.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID - Organizations scope, location specified: `organizations/`\ ORG_ID\ `/locations/`\ LOCATION_ID - Organizations scope, no location specified (defaults to global): `organizations/`\ ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`inspect_template`	`InspectTemplate` Required. The InspectTemplate to create. This corresponds to the `inspect_template` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.InspectTemplate`	The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more.

create_job_trigger

create_job_trigger(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.CreateJobTriggerRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    job_trigger: typing.Optional[google.cloud.dlp_v2.types.dlp.JobTrigger] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.JobTrigger

Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_create_job_trigger():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    job_trigger = dlp_v2.JobTrigger()
    job_trigger.status = "CANCELLED"

    request = dlp_v2.CreateJobTriggerRequest(
        parent="parent_value",
        job_trigger=job_trigger,
    )

    # Make the request
    response = await client.create_job_trigger(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.CreateJobTriggerRequest, dict]]` The request object. Request message for CreateJobTrigger.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`job_trigger`	`JobTrigger` Required. The JobTrigger to create. This corresponds to the `job_trigger` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.JobTrigger`	Contains a configuration to make API calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more.

create_stored_info_type

create_stored_info_type(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.CreateStoredInfoTypeRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    config: typing.Optional[google.cloud.dlp_v2.types.dlp.StoredInfoTypeConfig] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.StoredInfoType

Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_create_stored_info_type():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.CreateStoredInfoTypeRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.create_stored_info_type(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.CreateStoredInfoTypeRequest, dict]]` The request object. Request message for CreateStoredInfoType.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID - Organizations scope, location specified: `organizations/`\ ORG_ID\ `/locations/`\ LOCATION_ID - Organizations scope, no location specified (defaults to global): `organizations/`\ ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`config`	`StoredInfoTypeConfig` Required. Configuration of the storedInfoType to create. This corresponds to the `config` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.StoredInfoType`	StoredInfoType resource message that contains information about the current version and any pending updates.

deidentify_content

deidentify_content(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.DeidentifyContentRequest, dict]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DeidentifyContentResponse

De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/sensitive-data-protection/docs/deidentify-sensitive-data to learn more.

When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_deidentify_content():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.DeidentifyContentRequest(
    )

    # Make the request
    response = await client.deidentify_content(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.DeidentifyContentRequest, dict]]` The request object. Request to de-identify a ContentItem.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DeidentifyContentResponse`	Results of de-identifying a ContentItem.

deidentify_template_path

deidentify_template_path(organization: str, deidentify_template: str) -> str

Returns a fully-qualified deidentify_template string.

delete_connection

delete_connection(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.DeleteConnectionRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Delete a Connection.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_delete_connection():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.DeleteConnectionRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_connection(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.DeleteConnectionRequest, dict]]` The request object. Request message for DeleteConnection.
`name`	`str` Required. Resource name of the Connection to be deleted, in the format: `projects/{project}/locations/{location}/connections/{connection}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_deidentify_template

delete_deidentify_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.dlp_v2.types.dlp.DeleteDeidentifyTemplateRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_delete_deidentify_template():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.DeleteDeidentifyTemplateRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_deidentify_template(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.DeleteDeidentifyTemplateRequest, dict]]` The request object. Request message for DeleteDeidentifyTemplate.
`name`	`str` Required. Resource name of the organization and deidentify template to be deleted, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_discovery_config

delete_discovery_config(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.DeleteDiscoveryConfigRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a discovery configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_delete_discovery_config():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.DeleteDiscoveryConfigRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_discovery_config(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.DeleteDiscoveryConfigRequest, dict]]` The request object. Request message for DeleteDiscoveryConfig.
`name`	`str` Required. Resource name of the project and the config, for example `projects/dlp-test-project/discoveryConfigs/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_dlp_job

delete_dlp_job(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.DeleteDlpJobRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be canceled if possible. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_delete_dlp_job():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.DeleteDlpJobRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_dlp_job(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.DeleteDlpJobRequest, dict]]` The request object. The request message for deleting a DLP job.
`name`	`str` Required. The name of the DlpJob resource to be deleted. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_inspect_template

delete_inspect_template(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.DeleteInspectTemplateRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_delete_inspect_template():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.DeleteInspectTemplateRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_inspect_template(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.DeleteInspectTemplateRequest, dict]]` The request object. Request message for DeleteInspectTemplate.
`name`	`str` Required. Resource name of the organization and inspectTemplate to be deleted, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_job_trigger

delete_job_trigger(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.DeleteJobTriggerRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_delete_job_trigger():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.DeleteJobTriggerRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_job_trigger(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.DeleteJobTriggerRequest, dict]]` The request object. Request message for DeleteJobTrigger.
`name`	`str` Required. Resource name of the project and the triggeredJob, for example `projects/dlp-test-project/jobTriggers/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_stored_info_type

delete_stored_info_type(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.DeleteStoredInfoTypeRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_delete_stored_info_type():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.DeleteStoredInfoTypeRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_stored_info_type(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.DeleteStoredInfoTypeRequest, dict]]` The request object. Request message for DeleteStoredInfoType.
`name`	`str` Required. Resource name of the organization and storedInfoType to be deleted, for example `organizations/433245324/storedInfoTypes/432452342` or projects/project-id/storedInfoTypes/432452342. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

delete_table_data_profile

delete_table_data_profile(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.DeleteTableDataProfileRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Delete a TableDataProfile. Will not prevent the profile from being regenerated if the table is still included in a discovery configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_delete_table_data_profile():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.DeleteTableDataProfileRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_table_data_profile(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.DeleteTableDataProfileRequest, dict]]` The request object. Request message for DeleteTableProfile.
`name`	`str` Required. Resource name of the table data profile. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

discovery_config_path

discovery_config_path(project: str, location: str, discovery_config: str) -> str

Returns a fully-qualified discovery_config string.

dlp_content_path

dlp_content_path(project: str) -> str

Returns a fully-qualified dlp_content string.

dlp_job_path

dlp_job_path(project: str, dlp_job: str) -> str

Returns a fully-qualified dlp_job string.

finding_path

finding_path(project: str, location: str, finding: str) -> str

Returns a fully-qualified finding string.

finish_dlp_job

finish_dlp_job(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.FinishDlpJobRequest, dict]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Finish a running hybrid DlpJob. Triggers the finalization steps and running of any enabled actions that have not yet run.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_finish_dlp_job():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.FinishDlpJobRequest(
        name="name_value",
    )

    # Make the request
    await client.finish_dlp_job(request=request)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.FinishDlpJobRequest, dict]]` The request object. The request message for finishing a DLP hybrid job.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`DlpServiceAsyncClient`	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
Type	Description
`DlpServiceAsyncClient`	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`DlpServiceAsyncClient`	The constructed client.

get_column_data_profile

get_column_data_profile(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetColumnDataProfileRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.ColumnDataProfile

Gets a column data profile.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_column_data_profile():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetColumnDataProfileRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_column_data_profile(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetColumnDataProfileRequest, dict]]` The request object. Request to get a column data profile.
`name`	`str` Required. Resource name, for example `organizations/12345/locations/us/columnDataProfiles/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.ColumnDataProfile`	The profile for a scanned column within a table.

get_connection

get_connection(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetConnectionRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.Connection

Get a Connection by name.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_connection():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetConnectionRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_connection(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetConnectionRequest, dict]]` The request object. Request message for GetConnection.
`name`	`str` Required. Resource name in the format: `projects/{project}/locations/{location}/connections/{connection}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.Connection`	A data connection to allow DLP to profile data in locations that require additional configuration.

get_deidentify_template

get_deidentify_template(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetDeidentifyTemplateRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DeidentifyTemplate

Gets a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_deidentify_template():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetDeidentifyTemplateRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_deidentify_template(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetDeidentifyTemplateRequest, dict]]` The request object. Request message for GetDeidentifyTemplate.
`name`	`str` Required. Resource name of the organization and deidentify template to be read, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DeidentifyTemplate`	DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more.

get_discovery_config

get_discovery_config(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetDiscoveryConfigRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DiscoveryConfig

Gets a discovery configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_discovery_config():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetDiscoveryConfigRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_discovery_config(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetDiscoveryConfigRequest, dict]]` The request object. Request message for GetDiscoveryConfig.
`name`	`str` Required. Resource name of the project and the configuration, for example `projects/dlp-test-project/discoveryConfigs/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DiscoveryConfig`	Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention).

get_dlp_job

get_dlp_job(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetDlpJobRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DlpJob

Gets the latest state of a long-running DlpJob. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_dlp_job():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetDlpJobRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_dlp_job(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetDlpJobRequest, dict]]` The request object. The request message for [DlpJobs.GetDlpJob][].
`name`	`str` Required. The name of the DlpJob resource. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DlpJob`	Combines all of the information about a DLP job.

get_inspect_template

get_inspect_template(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetInspectTemplateRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.InspectTemplate

Gets an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_inspect_template():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetInspectTemplateRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_inspect_template(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetInspectTemplateRequest, dict]]` The request object. Request message for GetInspectTemplate.
`name`	`str` Required. Resource name of the organization and inspectTemplate to be read, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.InspectTemplate`	The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more.

get_job_trigger

get_job_trigger(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetJobTriggerRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.JobTrigger

Gets a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_job_trigger():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetJobTriggerRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_job_trigger(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetJobTriggerRequest, dict]]` The request object. Request message for GetJobTrigger.
`name`	`str` Required. Resource name of the project and the triggeredJob, for example `projects/dlp-test-project/jobTriggers/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.JobTrigger`	Contains a configuration to make API calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

get_project_data_profile

get_project_data_profile(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetProjectDataProfileRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.ProjectDataProfile

Gets a project data profile.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_project_data_profile():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetProjectDataProfileRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_project_data_profile(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetProjectDataProfileRequest, dict]]` The request object. Request to get a project data profile.
`name`	`str` Required. Resource name, for example `organizations/12345/locations/us/projectDataProfiles/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.ProjectDataProfile`	An aggregated profile for this project, based on the resources profiled within it.

get_stored_info_type

get_stored_info_type(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetStoredInfoTypeRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.StoredInfoType

Gets a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_stored_info_type():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetStoredInfoTypeRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_stored_info_type(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetStoredInfoTypeRequest, dict]]` The request object. Request message for GetStoredInfoType.
`name`	`str` Required. Resource name of the organization and storedInfoType to be read, for example `organizations/433245324/storedInfoTypes/432452342` or projects/project-id/storedInfoTypes/432452342. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.StoredInfoType`	StoredInfoType resource message that contains information about the current version and any pending updates.

get_table_data_profile

get_table_data_profile(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.GetTableDataProfileRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.TableDataProfile

Gets a table data profile.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_get_table_data_profile():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.GetTableDataProfileRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_table_data_profile(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.GetTableDataProfileRequest, dict]]` The request object. Request to get a table data profile.
`name`	`str` Required. Resource name, for example `organizations/12345/locations/us/tableDataProfiles/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.TableDataProfile`	The profile for a scanned table.

get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.dlp_v2.services.dlp_service.transports.base.DlpServiceTransport
    ]
)

Returns an appropriate transport class.

Parameter
Name	Description
`label`	`typing.Optional[str]` The name of the desired transport. If none is provided, then the first transport in the registry is used.

hybrid_inspect_dlp_job

hybrid_inspect_dlp_job(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.HybridInspectDlpJobRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.HybridInspectResponse

Inspect hybrid content and store findings to a job. To review the findings, inspect the job. Inspection will occur asynchronously.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_hybrid_inspect_dlp_job():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.HybridInspectDlpJobRequest(
        name="name_value",
    )

    # Make the request
    response = await client.hybrid_inspect_dlp_job(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.HybridInspectDlpJobRequest, dict]]` The request object. Request to search for potentially sensitive info in a custom location.
`name`	`str` Required. Resource name of the job to execute a hybrid inspect on, for example `projects/dlp-test-project/dlpJob/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.HybridInspectResponse`	Quota exceeded errors will be thrown once quota has been met.

hybrid_inspect_job_trigger

hybrid_inspect_job_trigger(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.HybridInspectJobTriggerRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.HybridInspectResponse

Inspect hybrid content and store findings to a trigger. The inspection will be processed asynchronously. To review the findings monitor the jobs within the trigger.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_hybrid_inspect_job_trigger():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.HybridInspectJobTriggerRequest(
        name="name_value",
    )

    # Make the request
    response = await client.hybrid_inspect_job_trigger(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.HybridInspectJobTriggerRequest, dict]]` The request object. Request to search for potentially sensitive info in a custom location.
`name`	`str` Required. Resource name of the trigger to execute a hybrid inspect on, for example `projects/dlp-test-project/jobTriggers/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.HybridInspectResponse`	Quota exceeded errors will be thrown once quota has been met.

inspect_content

inspect_content(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.InspectContentRequest, dict]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.InspectContentResponse

Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size.

For how to guides, see https://cloud.google.com/sensitive-data-protection/docs/inspecting-images and https://cloud.google.com/sensitive-data-protection/docs/inspecting-text,

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_inspect_content():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.InspectContentRequest(
    )

    # Make the request
    response = await client.inspect_content(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.InspectContentRequest, dict]]` The request object. Request to search for potentially sensitive info in a ContentItem.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.InspectContentResponse`	Results of inspecting an item.

inspect_template_path

inspect_template_path(organization: str, inspect_template: str) -> str

Returns a fully-qualified inspect_template string.

job_trigger_path

job_trigger_path(project: str, job_trigger: str) -> str

Returns a fully-qualified job_trigger string.

list_column_data_profiles

list_column_data_profiles(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListColumnDataProfilesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListColumnDataProfilesAsyncPager

Lists column data profiles for an organization.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_column_data_profiles():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListColumnDataProfilesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_column_data_profiles(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListColumnDataProfilesRequest, dict]]` The request object. Request to list the profiles generated for a given organization or project.
`parent`	`str` Required. Resource name of the organization or project, for example `organizations/433245324/locations/europe` or `projects/project-id/locations/asia`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListColumnDataProfilesAsyncPager`	List of profiles generated for a given organization or project. Iterating over this object will yield results and resolve additional pages automatically.

list_connections

list_connections(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListConnectionsRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListConnectionsAsyncPager

Lists Connections in a parent.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_connections():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListConnectionsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_connections(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListConnectionsRequest, dict]]` The request object. Request message for ListConnections.
`parent`	`str` Required. Parent name, for example: `projects/project-id/locations/global`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListConnectionsAsyncPager`	Response message for ListConnections. Iterating over this object will yield results and resolve additional pages automatically.

list_deidentify_templates

list_deidentify_templates(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListDeidentifyTemplatesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListDeidentifyTemplatesAsyncPager

Lists DeidentifyTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_deidentify_templates():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListDeidentifyTemplatesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_deidentify_templates(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListDeidentifyTemplatesRequest, dict]]` The request object. Request message for ListDeidentifyTemplates.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID - Organizations scope, location specified: `organizations/`\ ORG_ID\ `/locations/`\ LOCATION_ID - Organizations scope, no location specified (defaults to global): `organizations/`\ ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListDeidentifyTemplatesAsyncPager`	Response message for ListDeidentifyTemplates. Iterating over this object will yield results and resolve additional pages automatically.

list_discovery_configs

list_discovery_configs(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListDiscoveryConfigsRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListDiscoveryConfigsAsyncPager

Lists discovery configurations.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_discovery_configs():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListDiscoveryConfigsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_discovery_configs(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListDiscoveryConfigsRequest, dict]]` The request object. Request message for ListDiscoveryConfigs.
`parent`	`str` Required. Parent resource name. The format of this value is as follows: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListDiscoveryConfigsAsyncPager`	Response message for ListDiscoveryConfigs. Iterating over this object will yield results and resolve additional pages automatically.

list_dlp_jobs

list_dlp_jobs(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListDlpJobsRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListDlpJobsAsyncPager

Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_dlp_jobs():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListDlpJobsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_dlp_jobs(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListDlpJobsRequest, dict]]` The request object. The request message for listing DLP jobs.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListDlpJobsAsyncPager`	The response message for listing DLP jobs. Iterating over this object will yield results and resolve additional pages automatically.

list_info_types

list_info_types(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListInfoTypesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.ListInfoTypesResponse

Returns a list of the sensitive information types that DLP API supports. See https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_info_types():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListInfoTypesRequest(
    )

    # Make the request
    response = await client.list_info_types(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListInfoTypesRequest, dict]]` The request object. Request for the list of infoTypes.
`parent`	`str` The parent resource name. The format of this value is as follows: :: locations/`LOCATION_ID` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.ListInfoTypesResponse`	Response to the ListInfoTypes request.

list_inspect_templates

list_inspect_templates(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListInspectTemplatesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListInspectTemplatesAsyncPager

Lists InspectTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_inspect_templates():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListInspectTemplatesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_inspect_templates(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListInspectTemplatesRequest, dict]]` The request object. Request message for ListInspectTemplates.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID - Organizations scope, location specified: `organizations/`\ ORG_ID\ `/locations/`\ LOCATION_ID - Organizations scope, no location specified (defaults to global): `organizations/`\ ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListInspectTemplatesAsyncPager`	Response message for ListInspectTemplates. Iterating over this object will yield results and resolve additional pages automatically.

list_job_triggers

list_job_triggers(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListJobTriggersRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListJobTriggersAsyncPager

Lists job triggers. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_job_triggers():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListJobTriggersRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_job_triggers(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListJobTriggersRequest, dict]]` The request object. Request message for ListJobTriggers.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListJobTriggersAsyncPager`	Response message for ListJobTriggers. Iterating over this object will yield results and resolve additional pages automatically.

list_project_data_profiles

list_project_data_profiles(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListProjectDataProfilesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListProjectDataProfilesAsyncPager

Lists project data profiles for an organization.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_project_data_profiles():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListProjectDataProfilesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_project_data_profiles(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListProjectDataProfilesRequest, dict]]` The request object. Request to list the profiles generated for a given organization or project.
`parent`	`str` Required. organizations/{org_id}/locations/{loc_id} This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListProjectDataProfilesAsyncPager`	List of profiles generated for a given organization or project. Iterating over this object will yield results and resolve additional pages automatically.

list_stored_info_types

list_stored_info_types(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListStoredInfoTypesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListStoredInfoTypesAsyncPager

Lists stored infoTypes. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_stored_info_types():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListStoredInfoTypesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_stored_info_types(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListStoredInfoTypesRequest, dict]]` The request object. Request message for ListStoredInfoTypes.
`parent`	`str` Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have `specified a processing location https://cloud.google.com/sensitive-data-protection/docs/specifying-location`__: - Projects scope, location specified: `projects/`\ PROJECT_ID\ `/locations/`\ LOCATION_ID - Projects scope, no location specified (defaults to global): `projects/`\ PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: :: parent=projects/example-project/locations/europe-west3 This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListStoredInfoTypesAsyncPager`	Response message for ListStoredInfoTypes. Iterating over this object will yield results and resolve additional pages automatically.

list_table_data_profiles

list_table_data_profiles(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ListTableDataProfilesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.ListTableDataProfilesAsyncPager

Lists table data profiles for an organization.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_list_table_data_profiles():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ListTableDataProfilesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_table_data_profiles(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ListTableDataProfilesRequest, dict]]` The request object. Request to list the profiles generated for a given organization or project.
`parent`	`str` Required. Resource name of the organization or project, for example `organizations/433245324/locations/europe` or `projects/project-id/locations/asia`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.ListTableDataProfilesAsyncPager`	List of profiles generated for a given organization or project. Iterating over this object will yield results and resolve additional pages automatically.

parse_column_data_profile_path

parse_column_data_profile_path(path: str) -> typing.Dict[str, str]

Parses a column_data_profile path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_connection_path

parse_connection_path(path: str) -> typing.Dict[str, str]

Parses a connection path into its component segments.

parse_deidentify_template_path

parse_deidentify_template_path(path: str) -> typing.Dict[str, str]

Parses a deidentify_template path into its component segments.

parse_discovery_config_path

parse_discovery_config_path(path: str) -> typing.Dict[str, str]

Parses a discovery_config path into its component segments.

parse_dlp_content_path

parse_dlp_content_path(path: str) -> typing.Dict[str, str]

Parses a dlp_content path into its component segments.

parse_dlp_job_path

parse_dlp_job_path(path: str) -> typing.Dict[str, str]

Parses a dlp_job path into its component segments.

parse_finding_path

parse_finding_path(path: str) -> typing.Dict[str, str]

Parses a finding path into its component segments.

parse_inspect_template_path

parse_inspect_template_path(path: str) -> typing.Dict[str, str]

Parses a inspect_template path into its component segments.

parse_job_trigger_path

parse_job_trigger_path(path: str) -> typing.Dict[str, str]

Parses a job_trigger path into its component segments.

parse_project_data_profile_path

parse_project_data_profile_path(path: str) -> typing.Dict[str, str]

Parses a project_data_profile path into its component segments.

parse_stored_info_type_path

parse_stored_info_type_path(path: str) -> typing.Dict[str, str]

Parses a stored_info_type path into its component segments.

parse_table_data_profile_path

parse_table_data_profile_path(path: str) -> typing.Dict[str, str]

Parses a table_data_profile path into its component segments.

project_data_profile_path

project_data_profile_path(
    organization: str, location: str, project_data_profile: str
) -> str

Returns a fully-qualified project_data_profile string.

redact_image

redact_image(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.RedactImageRequest, dict]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.RedactImageResponse

Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/sensitive-data-protection/docs/redacting-sensitive-data-images to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_redact_image():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.RedactImageRequest(
    )

    # Make the request
    response = await client.redact_image(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.RedactImageRequest, dict]]` The request object. Request to search for potentially sensitive info in an image and redact it by covering it with a colored rectangle.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.RedactImageResponse`	Results of redacting an image.

reidentify_content

reidentify_content(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.ReidentifyContentRequest, dict]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.ReidentifyContentResponse

Re-identifies content that has been de-identified. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization#re-identification_in_free_text_code_example to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_reidentify_content():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.ReidentifyContentRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.reidentify_content(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.ReidentifyContentRequest, dict]]` The request object. Request to re-identify an item.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.ReidentifyContentResponse`	Results of re-identifying an item.

search_connections

search_connections(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.SearchConnectionsRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.services.dlp_service.pagers.SearchConnectionsAsyncPager

Searches for Connections in a parent.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_search_connections():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.SearchConnectionsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.search_connections(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.SearchConnectionsRequest, dict]]` The request object. Request message for SearchConnections.
`parent`	`str` Required. Parent name, typically an organization, without location. For example: `organizations/12345678`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.services.dlp_service.pagers.SearchConnectionsAsyncPager`	Response message for SearchConnections. Iterating over this object will yield results and resolve additional pages automatically.

stored_info_type_path

stored_info_type_path(organization: str, stored_info_type: str) -> str

Returns a fully-qualified stored_info_type string.

table_data_profile_path

table_data_profile_path(
    organization: str, location: str, table_data_profile: str
) -> str

Returns a fully-qualified table_data_profile string.

update_connection

update_connection(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.UpdateConnectionRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.Connection

Update a Connection.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_update_connection():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    connection = dlp_v2.Connection()
    connection.cloud_sql.username_password.username = "username_value"
    connection.cloud_sql.username_password.password_secret_version_name = "password_secret_version_name_value"
    connection.cloud_sql.max_connections = 1608
    connection.cloud_sql.database_engine = "DATABASE_ENGINE_POSTGRES"
    connection.state = "ERROR"

    request = dlp_v2.UpdateConnectionRequest(
        name="name_value",
        connection=connection,
    )

    # Make the request
    response = await client.update_connection(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.UpdateConnectionRequest, dict]]` The request object. Request message for UpdateConnection.
`name`	`str` Required. Resource name in the format: `projects/{project}/locations/{location}/connections/{connection}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.Connection`	A data connection to allow DLP to profile data in locations that require additional configuration.

update_deidentify_template

update_deidentify_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.dlp_v2.types.dlp.UpdateDeidentifyTemplateRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    deidentify_template: typing.Optional[
        google.cloud.dlp_v2.types.dlp.DeidentifyTemplate
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DeidentifyTemplate

Updates the DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_update_deidentify_template():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.UpdateDeidentifyTemplateRequest(
        name="name_value",
    )

    # Make the request
    response = await client.update_deidentify_template(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.UpdateDeidentifyTemplateRequest, dict]]` The request object. Request message for UpdateDeidentifyTemplate.
`name`	`str` Required. Resource name of organization and deidentify template to be updated, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`deidentify_template`	`DeidentifyTemplate` New DeidentifyTemplate value. This corresponds to the `deidentify_template` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Mask to control which fields get updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DeidentifyTemplate`	DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more.

update_discovery_config

update_discovery_config(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.UpdateDiscoveryConfigRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    discovery_config: typing.Optional[
        google.cloud.dlp_v2.types.dlp.DiscoveryConfig
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.DiscoveryConfig

Updates a discovery configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_update_discovery_config():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    discovery_config = dlp_v2.DiscoveryConfig()
    discovery_config.status = "PAUSED"

    request = dlp_v2.UpdateDiscoveryConfigRequest(
        name="name_value",
        discovery_config=discovery_config,
    )

    # Make the request
    response = await client.update_discovery_config(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.UpdateDiscoveryConfigRequest, dict]]` The request object. Request message for UpdateDiscoveryConfig.
`name`	`str` Required. Resource name of the project and the configuration, for example `projects/dlp-test-project/discoveryConfigs/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`discovery_config`	`DiscoveryConfig` Required. New DiscoveryConfig value. This corresponds to the `discovery_config` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Mask to control which fields get updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.DiscoveryConfig`	Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention).

update_inspect_template

update_inspect_template(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.UpdateInspectTemplateRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    inspect_template: typing.Optional[
        google.cloud.dlp_v2.types.dlp.InspectTemplate
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.InspectTemplate

Updates the InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_update_inspect_template():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.UpdateInspectTemplateRequest(
        name="name_value",
    )

    # Make the request
    response = await client.update_inspect_template(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.UpdateInspectTemplateRequest, dict]]` The request object. Request message for UpdateInspectTemplate.
`name`	`str` Required. Resource name of organization and inspectTemplate to be updated, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`inspect_template`	`InspectTemplate` New InspectTemplate value. This corresponds to the `inspect_template` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Mask to control which fields get updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.InspectTemplate`	The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more.

update_job_trigger

update_job_trigger(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.UpdateJobTriggerRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    job_trigger: typing.Optional[google.cloud.dlp_v2.types.dlp.JobTrigger] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.JobTrigger

Updates a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_update_job_trigger():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.UpdateJobTriggerRequest(
        name="name_value",
    )

    # Make the request
    response = await client.update_job_trigger(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.UpdateJobTriggerRequest, dict]]` The request object. Request message for UpdateJobTrigger.
`name`	`str` Required. Resource name of the project and the triggeredJob, for example `projects/dlp-test-project/jobTriggers/53234423`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`job_trigger`	`JobTrigger` New JobTrigger value. This corresponds to the `job_trigger` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Mask to control which fields get updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.JobTrigger`	Contains a configuration to make API calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more.

update_stored_info_type

update_stored_info_type(
    request: typing.Optional[
        typing.Union[google.cloud.dlp_v2.types.dlp.UpdateStoredInfoTypeRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    config: typing.Optional[google.cloud.dlp_v2.types.dlp.StoredInfoTypeConfig] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dlp_v2.types.dlp.StoredInfoType

Updates the stored infoType by creating a new version. The existing version will continue to be used until the new version is ready. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dlp_v2

async def sample_update_stored_info_type():
    # Create a client
    client = dlp_v2.DlpServiceAsyncClient()

    # Initialize request argument(s)
    request = dlp_v2.UpdateStoredInfoTypeRequest(
        name="name_value",
    )

    # Make the request
    response = await client.update_stored_info_type(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dlp_v2.types.UpdateStoredInfoTypeRequest, dict]]` The request object. Request message for UpdateStoredInfoType.
`name`	`str` Required. Resource name of organization and storedInfoType to be updated, for example `organizations/433245324/storedInfoTypes/432452342` or projects/project-id/storedInfoTypes/432452342. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`config`	`StoredInfoTypeConfig` Updated configuration for the storedInfoType. If not provided, a new version of the storedInfoType will be created with the existing configuration. This corresponds to the `config` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Mask to control which fields get updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_async.AsyncRetry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dlp_v2.types.StoredInfoType`	StoredInfoType resource message that contains information about the current version and any pending updates.