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https://issues.apache.org/jira/browse/BEAM-9258?focusedWorklogId=387498&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-387498
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ASF GitHub Bot logged work on BEAM-9258:
----------------------------------------
Author: ASF GitHub Bot
Created on: 14/Feb/20 17:31
Start Date: 14/Feb/20 17:31
Worklog Time Spent: 10m
Work Description: aaltay commented on pull request #10849: [BEAM-9258]
Integrate Google Cloud Data loss prevention functionality for Python SDK
URL: https://github.com/apache/beam/pull/10849#discussion_r379554152
##########
File path: sdks/python/apache_beam/ml/gcp/cloud_dlp.py
##########
@@ -0,0 +1,214 @@
+# /*
+# * Licensed to the Apache Software Foundation (ASF) under one
+# * or more contributor license agreements. See the NOTICE file
+# * distributed with this work for additional information
+# * regarding copyright ownership. The ASF licenses this file
+# * to you under the Apache License, Version 2.0 (the
+# * "License"); you may not use this file except in compliance
+# * with the License. You may obtain a copy of the License at
+# *
+# * http://www.apache.org/licenses/LICENSE-2.0
+# *
+# * Unless required by applicable law or agreed to in writing, software
+# * distributed under the License is distributed on an "AS IS" BASIS,
+# * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# * See the License for the specific language governing permissions and
+# * limitations under the License.
+# */
+
+"""``PTransforms`` that implement Google Cloud Data Loss Prevention
+ functionality.
+"""
+
+from __future__ import absolute_import
+
+import logging
+
+from google.cloud import dlp_v2
+
+from apache_beam.options.pipeline_options import GoogleCloudOptions
+from apache_beam.transforms import DoFn
+from apache_beam.transforms import ParDo
+from apache_beam.transforms import PTransform
+from apache_beam.utils.annotations import experimental
+
+__all__ = ['MaskDetectedDetails', 'InspectForDetails']
+
+_LOGGER = logging.getLogger(__name__)
+
+
+@experimental()
+class MaskDetectedDetails(PTransform):
+ """Scrubs sensitive information detected in text.
+ The ``PTransform`` returns a ``PCollection`` of ``str``
+ Example usage::
+ pipeline | MaskDetectedDetails(project='example-gcp-project',
Review comment:
You may need to update this example for the project argument.
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Issue Time Tracking
-------------------
Worklog Id: (was: 387498)
Time Spent: 2h 40m (was: 2.5h)
> [Python] PTransform that connects to Cloud DLP deidentification service
> -----------------------------------------------------------------------
>
> Key: BEAM-9258
> URL: https://issues.apache.org/jira/browse/BEAM-9258
> Project: Beam
> Issue Type: Sub-task
> Components: io-py-gcp
> Reporter: Michał Walenia
> Assignee: Michał Walenia
> Priority: Major
> Time Spent: 2h 40m
> Remaining Estimate: 0h
>
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