Class DataPolicyServiceClient (0.6.6)

Data Policy Service provides APIs for managing the label-policy bindings.

Return the API endpoint used by the client instance.

Returns the transport used by the client instance.

Return the universe domain used by the client instance.

Instantiates the data policy service client.

Releases underlying transport's resources.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Creates a new data policy under a project with the given dataPolicyId (used as the display name), policy tag, and data policy type.

# 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 bigquery_datapolicies_v1beta1

def sample_create_data_policy():
    # Create a client
    client = bigquery_datapolicies_v1beta1.DataPolicyServiceClient()

    # Initialize request argument(s)
    data_policy = bigquery_datapolicies_v1beta1.DataPolicy()
    data_policy.policy_tag = "policy_tag_value"
    data_policy.data_masking_policy.predefined_expression = "DEFAULT_MASKING_VALUE"

    request = bigquery_datapolicies_v1beta1.CreateDataPolicyRequest(
        parent="parent_value",
        data_policy=data_policy,
    )

    # Make the request
    response = client.create_data_policy(request=request)

    # Handle the response
    print(response)

Returns a fully-qualified data_policy string.

Deletes the data policy specified by its resource 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 bigquery_datapolicies_v1beta1

def sample_delete_data_policy():
    # Create a client
    client = bigquery_datapolicies_v1beta1.DataPolicyServiceClient()

    # Initialize request argument(s)
    request = bigquery_datapolicies_v1beta1.DeleteDataPolicyRequest(
        name="name_value",
    )

    # Make the request
    client.delete_data_policy(request=request)

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

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

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

Gets the data policy specified by its resource 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 bigquery_datapolicies_v1beta1

def sample_get_data_policy():
    # Create a client
    client = bigquery_datapolicies_v1beta1.DataPolicyServiceClient()

    # Initialize request argument(s)
    request = bigquery_datapolicies_v1beta1.GetDataPolicyRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_data_policy(request=request)

    # Handle the response
    print(response)

Gets the IAM policy for the specified data policy.

# 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 bigquery_datapolicies_v1beta1
from google.iam.v1 import iam_policy_pb2  # type: ignore

def sample_get_iam_policy():
    # Create a client
    client = bigquery_datapolicies_v1beta1.DataPolicyServiceClient()

    # Initialize request argument(s)
    request = iam_policy_pb2.GetIamPolicyRequest(
        resource="resource_value",
    )

    # Make the request
    response = client.get_iam_policy(request=request)

    # Handle the response
    print(response)

Deprecated. 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.

List all of the data policies in the specified parent project.

# 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 bigquery_datapolicies_v1beta1

def sample_list_data_policies():
    # Create a client
    client = bigquery_datapolicies_v1beta1.DataPolicyServiceClient()

    # Initialize request argument(s)
    request = bigquery_datapolicies_v1beta1.ListDataPoliciesRequest(
        parent="parent_value",
    )

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

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

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a data_policy path into its component segments.

Sets the IAM policy for the specified data policy.

# 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 bigquery_datapolicies_v1beta1
from google.iam.v1 import iam_policy_pb2  # type: ignore

def sample_set_iam_policy():
    # Create a client
    client = bigquery_datapolicies_v1beta1.DataPolicyServiceClient()

    # Initialize request argument(s)
    request = iam_policy_pb2.SetIamPolicyRequest(
        resource="resource_value",
    )

    # Make the request
    response = client.set_iam_policy(request=request)

    # Handle the response
    print(response)

Returns the caller's permission on the specified data policy resource.

# 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 bigquery_datapolicies_v1beta1
from google.iam.v1 import iam_policy_pb2  # type: ignore

def sample_test_iam_permissions():
    # Create a client
    client = bigquery_datapolicies_v1beta1.DataPolicyServiceClient()

    # Initialize request argument(s)
    request = iam_policy_pb2.TestIamPermissionsRequest(
        resource="resource_value",
        permissions=['permissions_value1', 'permissions_value2'],
    )

    # Make the request
    response = client.test_iam_permissions(request=request)

    # Handle the response
    print(response)

Updates the metadata for an existing data policy. The target data policy can be specified by the resource 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 bigquery_datapolicies_v1beta1

def sample_update_data_policy():
    # Create a client
    client = bigquery_datapolicies_v1beta1.DataPolicyServiceClient()

    # Initialize request argument(s)
    data_policy = bigquery_datapolicies_v1beta1.DataPolicy()
    data_policy.policy_tag = "policy_tag_value"
    data_policy.data_masking_policy.predefined_expression = "DEFAULT_MASKING_VALUE"

    request = bigquery_datapolicies_v1beta1.UpdateDataPolicyRequest(
        data_policy=data_policy,
    )

    # Make the request
    response = client.update_data_policy(request=request)

    # Handle the response
    print(response)