Add DLP code sample and test for medical number custom detector with hotwords

dlp/custom_infotype.py

@@ -143,3 +143,88 @@ def inspect_with_medical_record_number_custom_regex_detector(
         print("No findings.")
 
 # [END dlp_inspect_with_medical_record_number_custom_regex_detector]
+
+
+# [START dlp_inspect_with_medical_record_number_w_custom_hotwords]
+def inspect_with_medical_record_number_w_custom_hotwords(
+    project,
+    content_string,
+):
+    """Uses the Data Loss Prevention API to analyze string with medical record
+       number custom regex detector, with custom hotwords rules to boost finding
+       certainty under some circumstances.
+    Args:
+        project: The Google Cloud project id to use as a parent resource.
+        content_string: The string to inspect.
+    Returns:
+        None; the response from the API is printed to the terminal.
+    """
+
+    # Import the client library.
+    import google.cloud.dlp
+
+    # Instantiate a client.
+    dlp = google.cloud.dlp_v2.DlpServiceClient()
+
+    # Construct a custom regex detector info type called "C_MRN",
+    # with ###-#-##### pattern, where each # represents a digit from 1 to 9.
+    # The detector has a detection likelihood of POSSIBLE.
+    custom_info_types = [
+        {
+            "info_type": {"name": "C_MRN"},
+            "regex": {"pattern": "[1-9]{3}-[1-9]{1}-[1-9]{5}"},
+            "likelihood": "POSSIBLE",
+        }
+    ]
+
+    # Construct a rule set with hotwords "mrn" and "medical", with a likelohood
+    # boost to VERY_LIKELY when hotwords are present within the 10 character-
+    # window preceding the PII finding.
+    hotword_rule = {
+        "hotword_regex": {
+            "pattern": "(?i)(mrn|medical)(?-i)"
+        },
+        "likelihood_adjustment": {
+            "fixed_likelihood": "VERY_LIKELY"
+        },
+        "proximity": {
+            "window_before": 10
+        }
+    }
+
+    rule_set = [
+        {
+            "info_types": [{"name": "C_MRN"}],
+            "rules": [{"hotword_rule": hotword_rule}],
+        }
+    ]
+
+    # Construct the configuration dictionary with the custom regex info type.
+    inspect_config = {
+        "custom_info_types": custom_info_types,
+        "rule_set": rule_set,
+    }
+
+    # Construct the `item`.
+    item = {"value": content_string}
+
+    # Convert the project id into a full resource id.
+    parent = dlp.project_path(project)
+
+    # Call the API.
+    response = dlp.inspect_content(parent, inspect_config, item)
+
+    # Print out the results.
+    if response.result.findings:
+        for finding in response.result.findings:
+            try:
+                if finding.quote:
+                    print(f"Quote: {finding.quote}")
+            except AttributeError:
+                pass
+            print(f"Info type: {finding.info_type.name}")
+            print(f"Likelihood: {finding.likelihood}")
+    else:
+        print("No findings.")
+
+# [END dlp_inspect_with_medical_record_number_w_custom_hotwords]

dlp/custom_infotype_test.py

@@ -34,3 +34,23 @@ def test_inspect_with_medical_record_number_custom_regex_detector(capsys):
 
     out, _ = capsys.readouterr()
     assert "Info type: C_MRN" in out
+
+
+def test_inspect_with_medical_record_number_w_custom_hotwords_no_hotwords(
+        capsys):
+    custom_infotype.inspect_with_medical_record_number_w_custom_hotwords(
+        GCLOUD_PROJECT, "just a number 444-5-22222")
+
+    out, _ = capsys.readouterr()
+    assert "Info type: C_MRN" in out
+    assert "Likelihood: 3" in out
+
+
+def test_inspect_with_medical_record_number_w_custom_hotwords_has_hotwords(
+        capsys):
+    custom_infotype.inspect_with_medical_record_number_w_custom_hotwords(
+        GCLOUD_PROJECT, "Patients MRN 444-5-22222")
+
+    out, _ = capsys.readouterr()
+    assert "Info type: C_MRN" in out
+    assert "Likelihood: 5" in out