DlpServiceClient(
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
)
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/dlp/docs/.
Inheritance
builtins.object > google.cloud.dlp_v2.gapic.dlp_service_client.DlpServiceClient > DlpServiceClientMethods
DlpServiceClient
DlpServiceClient(
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
)
Constructor.
Name | Description |
channel |
grpc.Channel
DEPRECATED. A |
credentials |
google.auth.credentials.Credentials
The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to |
client_config |
dict
DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used. |
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 |
client_options |
Union[dict, google.api_core.client_options.ClientOptions]
Client options used to set user options on the client. API Endpoint should be set through client_options. |
cancel_dlp_job
cancel_dlp_job(name, retry=<object object>, timeout=<object object>, metadata=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/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.dlp_job_path('[PROJECT]', '[DLP_JOB]')
client.cancel_dlp_job(name)
Name | Description |
name |
str
Required. The name of the DlpJob resource to be cancelled. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
create_deidentify_template
create_deidentify_template(parent, deidentify_template=None, template_id=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Creates a DeidentifyTemplate for re-using frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.organization_path('[ORGANIZATION]')
response = client.create_deidentify_template(parent)
Name | Description |
parent |
str
Required. The parent resource name, for example projects/my-project-id or organizations/my-org-id. |
deidentify_template |
Union[dict, DeidentifyTemplate]
The DeidentifyTemplate to create. If a dict is provided, it must be of the same form as the protobuf message DeidentifyTemplate |
template_id |
str
The template id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression: |
location_id |
str
The geographic location to store the deidentification template. Reserved for future extensions. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
create_dlp_job
create_dlp_job(parent, inspect_job=None, risk_job=None, job_id=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/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.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.project_path('[PROJECT]')
response = client.create_dlp_job(parent)
Name | Description |
parent |
str
Required. The parent resource name, for example projects/my-project-id. |
inspect_job |
Union[dict, InspectJobConfig]
If a dict is provided, it must be of the same form as the protobuf message InspectJobConfig |
risk_job |
Union[dict, RiskAnalysisJobConfig]
If a dict is provided, it must be of the same form as the protobuf message RiskAnalysisJobConfig |
job_id |
str
The job id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression: |
location_id |
str
The geographic location to store and process the job. Reserved for future extensions. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
create_inspect_template
create_inspect_template(parent, inspect_template=None, template_id=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Creates an InspectTemplate for re-using frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.organization_path('[ORGANIZATION]')
response = client.create_inspect_template(parent)
Name | Description |
parent |
str
Required. The parent resource name, for example projects/my-project-id or organizations/my-org-id. |
inspect_template |
Union[dict, InspectTemplate]
The InspectTemplate to create. If a dict is provided, it must be of the same form as the protobuf message InspectTemplate |
template_id |
str
The template id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression: |
location_id |
str
The geographic location to store the inspection template. Reserved for future extensions. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
create_job_trigger
create_job_trigger(parent, job_trigger=None, trigger_id=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.project_path('[PROJECT]')
response = client.create_job_trigger(parent)
Name | Description |
parent |
str
Required. The parent resource name, for example projects/my-project-id. |
job_trigger |
Union[dict, JobTrigger]
The JobTrigger to create. If a dict is provided, it must be of the same form as the protobuf message JobTrigger |
trigger_id |
str
The trigger id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression: |
location_id |
str
The geographic location to store the job trigger. Reserved for future extensions. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
create_stored_info_type
create_stored_info_type(parent, config=None, stored_info_type_id=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.organization_path('[ORGANIZATION]')
response = client.create_stored_info_type(parent)
Name | Description |
parent |
str
Required. The parent resource name, for example projects/my-project-id or organizations/my-org-id. |
config |
Union[dict, StoredInfoTypeConfig]
Configuration of the storedInfoType to create. If a dict is provided, it must be of the same form as the protobuf message StoredInfoTypeConfig |
stored_info_type_id |
str
The storedInfoType ID can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression: |
location_id |
str
The geographic location to store the stored infoType. Reserved for future extensions. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
deidentify_content
deidentify_content(parent, deidentify_config=None, inspect_config=None, item=None, inspect_template_name=None, deidentify_template_name=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/dlp/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.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.project_path('[PROJECT]')
response = client.deidentify_content(parent)
Name | Description |
parent |
str
The parent resource name, for example projects/my-project-id. |
deidentify_config |
Union[dict, DeidentifyConfig]
Configuration for the de-identification of the content item. Items specified here will override the template referenced by the deidentify_template_name argument. If a dict is provided, it must be of the same form as the protobuf message DeidentifyConfig |
inspect_config |
Union[dict, InspectConfig]
Configuration for the inspector. Items specified here will override the template referenced by the inspect_template_name argument. If a dict is provided, it must be of the same form as the protobuf message InspectConfig |
item |
Union[dict, ContentItem]
The item to de-identify. Will be treated as text. If a dict is provided, it must be of the same form as the protobuf message ContentItem |
inspect_template_name |
str
Optional template to use. Any configuration directly specified in inspect_config will override those set in the template. Singular fields that are set in this request will replace their corresponding fields in the template. Repeated fields are appended. Singular sub-messages and groups are recursively merged. |
deidentify_template_name |
str
Optional template to use. Any configuration directly specified in deidentify_config will override those set in the template. Singular fields that are set in this request will replace their corresponding fields in the template. Repeated fields are appended. Singular sub-messages and groups are recursively merged. |
location_id |
str
The geographic location to process de-identification. Reserved for future extensions. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
delete_deidentify_template
delete_deidentify_template(name, retry=<object object>, timeout=<object object>, metadata=None)
Deletes a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.organization_deidentify_template_path('[ORGANIZATION]', '[DEIDENTIFY_TEMPLATE]')
client.delete_deidentify_template(name)
Name | Description |
name |
str
Required. Resource name of the organization and deidentify template to be deleted, for example |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
delete_dlp_job
delete_dlp_job(name, retry=<object object>, timeout=<object object>, metadata=None)
Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be cancelled if possible. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.dlp_job_path('[PROJECT]', '[DLP_JOB]')
client.delete_dlp_job(name)
Name | Description |
name |
str
Required. The name of the DlpJob resource to be deleted. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
delete_inspect_template
delete_inspect_template(name, retry=<object object>, timeout=<object object>, metadata=None)
Deletes an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.organization_inspect_template_path('[ORGANIZATION]', '[INSPECT_TEMPLATE]')
client.delete_inspect_template(name)
Name | Description |
name |
str
Required. Resource name of the organization and inspectTemplate to be deleted, for example |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
delete_job_trigger
delete_job_trigger(name, retry=<object object>, timeout=<object object>, metadata=None)
Deletes a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
TODO: Initialize
name
:name = ''
client.delete_job_trigger(name)
Name | Description |
name |
str
Required. Resource name of the project and the triggeredJob, for example |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
delete_stored_info_type
delete_stored_info_type(name, retry=<object object>, timeout=<object object>, metadata=None)
Deletes a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.organization_stored_info_type_path('[ORGANIZATION]', '[STORED_INFO_TYPE]')
client.delete_stored_info_type(name)
Name | Description |
name |
str
Required. Resource name of the organization and storedInfoType to be deleted, for example |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
dlp_job_path
dlp_job_path(project, dlp_job)
DEPRECATED. Return a fully-qualified dlp_job string.
from_service_account_file
from_service_account_file(filename, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
DlpServiceClient | The constructed client. |
from_service_account_json
from_service_account_json(filename, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
DlpServiceClient | The constructed client. |
get_deidentify_template
get_deidentify_template(name, retry=<object object>, timeout=<object object>, metadata=None)
Gets a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.organization_deidentify_template_path('[ORGANIZATION]', '[DEIDENTIFY_TEMPLATE]')
response = client.get_deidentify_template(name)
Name | Description |
name |
str
Required. Resource name of the organization and deidentify template to be read, for example |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
get_dlp_job
get_dlp_job(name, retry=<object object>, timeout=<object object>, metadata=None)
Gets the latest state of a long-running DlpJob. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.dlp_job_path('[PROJECT]', '[DLP_JOB]')
response = client.get_dlp_job(name)
Name | Description |
name |
str
Required. The name of the DlpJob resource. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
get_inspect_template
get_inspect_template(name=None, retry=<object object>, timeout=<object object>, metadata=None)
Gets an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
response = client.get_inspect_template()
Name | Description |
name |
str
Required. Resource name of the organization and inspectTemplate to be read, for example |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
get_job_trigger
get_job_trigger(name, retry=<object object>, timeout=<object object>, metadata=None)
Gets a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.project_job_trigger_path('[PROJECT]', '[JOB_TRIGGER]')
response = client.get_job_trigger(name)
Name | Description |
name |
str
Required. Resource name of the project and the triggeredJob, for example |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
get_stored_info_type
get_stored_info_type(name, retry=<object object>, timeout=<object object>, metadata=None)
Gets a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.organization_stored_info_type_path('[ORGANIZATION]', '[STORED_INFO_TYPE]')
response = client.get_stored_info_type(name)
Name | Description |
name |
str
Required. Resource name of the organization and storedInfoType to be read, for example |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
inspect_content
inspect_content(parent, inspect_config=None, item=None, inspect_template_name=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size.
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.
For how to guides, see https://cloud.google.com/dlp/docs/inspecting-images and https://cloud.google.com/dlp/docs/inspecting-text,
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.project_path('[PROJECT]')
response = client.inspect_content(parent)
Name | Description |
parent |
str
The parent resource name, for example projects/my-project-id. |
inspect_config |
Union[dict, InspectConfig]
Configuration for the inspector. What specified here will override the template referenced by the inspect_template_name argument. If a dict is provided, it must be of the same form as the protobuf message InspectConfig |
item |
Union[dict, ContentItem]
The item to inspect. If a dict is provided, it must be of the same form as the protobuf message ContentItem |
inspect_template_name |
str
Optional template to use. Any configuration directly specified in inspect_config will override those set in the template. Singular fields that are set in this request will replace their corresponding fields in the template. Repeated fields are appended. Singular sub-messages and groups are recursively merged. |
location_id |
str
The geographic location to process content inspection. Reserved for future extensions. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_deidentify_templates
list_deidentify_templates(parent, page_size=None, order_by=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Lists DeidentifyTemplates. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.organization_path('[ORGANIZATION]')
Iterate over all results
for element in client.list_deidentify_templates(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_deidentify_templates(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
Required. The parent resource name, for example projects/my-project-id or organizations/my-org-id. |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
order_by |
str
Optional comma separated list of fields to order by, followed by |
location_id |
str
The geographic location where deidentifications templates will be retrieved from. Use |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_dlp_jobs
list_dlp_jobs(parent, filter_=None, page_size=None, type_=None, order_by=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.project_path('[PROJECT]')
Iterate over all results
for element in client.list_dlp_jobs(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_dlp_jobs(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
Required. The parent resource name, for example projects/my-project-id. |
filter_ |
str
Optional. Allows filtering. Supported syntax: - Filter expressions are made up of one or more restrictions. - Restrictions can be combined by |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
type_ |
DlpJobType
The type of job. Defaults to |
order_by |
str
Optional comma separated list of fields to order by, followed by |
location_id |
str
The geographic location where jobs will be retrieved from. Use |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_info_types
list_info_types(language_code=None, filter_=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Returns a list of the sensitive information types that the DLP API supports. See https://cloud.google.com/dlp/docs/infotypes-reference to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
response = client.list_info_types()
Name | Description |
language_code |
str
Optional BCP-47 language code for localized infoType friendly names. If omitted, or if localized strings are not available, en-US strings will be returned. |
filter_ |
str
Optional filter to only return infoTypes supported by certain parts of the API. Defaults to supported_by=INSPECT. |
location_id |
str
The geographic location to list info types. Reserved for future extensions. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_inspect_templates
list_inspect_templates(parent, page_size=None, order_by=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Lists InspectTemplates. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.organization_path('[ORGANIZATION]')
Iterate over all results
for element in client.list_inspect_templates(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_inspect_templates(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
Required. The parent resource name, for example projects/my-project-id or organizations/my-org-id. |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
order_by |
str
Optional comma separated list of fields to order by, followed by |
location_id |
str
The geographic location where inspection templates will be retrieved from. Use |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_job_triggers
list_job_triggers(parent, page_size=None, order_by=None, filter_=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Lists job triggers. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.project_path('[PROJECT]')
Iterate over all results
for element in client.list_job_triggers(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_job_triggers(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
Required. The parent resource name, for example |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
order_by |
str
Optional comma separated list of triggeredJob fields to order by, followed by |
filter_ |
str
Optional. Allows filtering. Supported syntax: - Filter expressions are made up of one or more restrictions. - Restrictions can be combined by |
location_id |
str
The geographic location where job triggers will be retrieved from. Use |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_stored_info_types
list_stored_info_types(parent, page_size=None, order_by=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Lists stored infoTypes. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.organization_path('[ORGANIZATION]')
Iterate over all results
for element in client.list_stored_info_types(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_stored_info_types(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
Required. The parent resource name, for example projects/my-project-id or organizations/my-org-id. |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
order_by |
str
Optional comma separated list of fields to order by, followed by |
location_id |
str
The geographic location where stored infoTypes will be retrieved from. Use |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
organization_deidentify_template_path
organization_deidentify_template_path(organization, deidentify_template)
DEPRECATED. Return a fully-qualified organization_deidentify_template string.
organization_inspect_template_path
organization_inspect_template_path(organization, inspect_template)
DEPRECATED. Return a fully-qualified organization_inspect_template string.
organization_path
organization_path(organization)
DEPRECATED. Return a fully-qualified organization string.
organization_stored_info_type_path
organization_stored_info_type_path(organization, stored_info_type)
DEPRECATED. Return a fully-qualified organization_stored_info_type string.
project_deidentify_template_path
project_deidentify_template_path(project, deidentify_template)
DEPRECATED. Return a fully-qualified project_deidentify_template string.
project_inspect_template_path
project_inspect_template_path(project, inspect_template)
DEPRECATED. Return a fully-qualified project_inspect_template string.
project_job_trigger_path
project_job_trigger_path(project, job_trigger)
DEPRECATED. Return a fully-qualified project_job_trigger string.
project_path
project_path(project)
DEPRECATED. Return a fully-qualified project string.
project_stored_info_type_path
project_stored_info_type_path(project, stored_info_type)
DEPRECATED. Return a fully-qualified project_stored_info_type string.
redact_image
redact_image(parent, location_id=None, inspect_config=None, image_redaction_configs=None, include_findings=None, byte_item=None, retry=<object object>, timeout=<object object>, metadata=None)
Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/dlp/docs/redacting-sensitive-data-images 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.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.project_path('[PROJECT]')
response = client.redact_image(parent)
Name | Description |
parent |
str
The parent resource name, for example projects/my-project-id. |
location_id |
str
The geographic location to process the request. Reserved for future extensions. |
inspect_config |
Union[dict, InspectConfig]
Configuration for the inspector. If a dict is provided, it must be of the same form as the protobuf message InspectConfig |
image_redaction_configs |
list[Union[dict, ImageRedactionConfig]]
The configuration for specifying what content to redact from images. If a dict is provided, it must be of the same form as the protobuf message ImageRedactionConfig |
include_findings |
bool
Whether the response should include findings along with the redacted image. |
byte_item |
Union[dict, ByteContentItem]
The content must be PNG, JPEG, SVG or BMP. If a dict is provided, it must be of the same form as the protobuf message ByteContentItem |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
reidentify_content
reidentify_content(parent, reidentify_config=None, inspect_config=None, item=None, inspect_template_name=None, reidentify_template_name=None, location_id=None, retry=<object object>, timeout=<object object>, metadata=None)
Re-identifies content that has been de-identified. See https://cloud.google.com/dlp/docs/pseudonymization#re-identification_in_free_text_code_example to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
parent = client.project_path('[PROJECT]')
response = client.reidentify_content(parent)
Name | Description |
parent |
str
Required. The parent resource name. |
reidentify_config |
Union[dict, DeidentifyConfig]
Configuration for the re-identification of the content item. This field shares the same proto message type that is used for de-identification, however its usage here is for the reversal of the previous de-identification. Re-identification is performed by examining the transformations used to de-identify the items and executing the reverse. This requires that only reversible transformations be provided here. The reversible transformations are: - |
inspect_config |
Union[dict, InspectConfig]
Configuration for the inspector. If a dict is provided, it must be of the same form as the protobuf message InspectConfig |
item |
Union[dict, ContentItem]
The item to re-identify. Will be treated as text. If a dict is provided, it must be of the same form as the protobuf message ContentItem |
inspect_template_name |
str
Optional template to use. Any configuration directly specified in |
reidentify_template_name |
str
Optional template to use. References an instance of |
location_id |
str
The geographic location to process content reidentification. Reserved for future extensions. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
update_deidentify_template
update_deidentify_template(name, deidentify_template=None, update_mask=None, retry=<object object>, timeout=<object object>, metadata=None)
Updates the DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.organization_deidentify_template_path('[ORGANIZATION]', '[DEIDENTIFY_TEMPLATE]')
response = client.update_deidentify_template(name)
Name | Description |
name |
str
Required. Resource name of organization and deidentify template to be updated, for example |
deidentify_template |
Union[dict, DeidentifyTemplate]
New DeidentifyTemplate value. If a dict is provided, it must be of the same form as the protobuf message DeidentifyTemplate |
update_mask |
Union[dict, FieldMask]
Mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
update_inspect_template
update_inspect_template(name, inspect_template=None, update_mask=None, retry=<object object>, timeout=<object object>, metadata=None)
Updates the InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.organization_inspect_template_path('[ORGANIZATION]', '[INSPECT_TEMPLATE]')
response = client.update_inspect_template(name)
Name | Description |
name |
str
Required. Resource name of organization and inspectTemplate to be updated, for example |
inspect_template |
Union[dict, InspectTemplate]
New InspectTemplate value. If a dict is provided, it must be of the same form as the protobuf message InspectTemplate |
update_mask |
Union[dict, FieldMask]
Mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
update_job_trigger
update_job_trigger(name, job_trigger=None, update_mask=None, retry=<object object>, timeout=<object object>, metadata=None)
Updates a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.project_job_trigger_path('[PROJECT]', '[JOB_TRIGGER]')
response = client.update_job_trigger(name)
Name | Description |
name |
str
Required. Resource name of the project and the triggeredJob, for example |
job_trigger |
Union[dict, JobTrigger]
New JobTrigger value. If a dict is provided, it must be of the same form as the protobuf message JobTrigger |
update_mask |
Union[dict, FieldMask]
Mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
update_stored_info_type
update_stored_info_type(name, config=None, update_mask=None, retry=<object object>, timeout=<object object>, metadata=None)
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/dlp/docs/creating-stored-infotypes to learn more.
.. rubric:: Example
from google.cloud import dlp_v2
client = dlp_v2.DlpServiceClient()
name = client.organization_stored_info_type_path('[ORGANIZATION]', '[STORED_INFO_TYPE]')
response = client.update_stored_info_type(name)
Name | Description |
name |
str
Required. Resource name of organization and storedInfoType to be updated, for example |
config |
Union[dict, StoredInfoTypeConfig]
Updated configuration for the storedInfoType. If not provided, a new version of the storedInfoType will be created with the existing configuration. If a dict is provided, it must be of the same form as the protobuf message StoredInfoTypeConfig |
update_mask |
Union[dict, FieldMask]
Mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |