fix: Dialogflow CX detect intent flaky test (#10282)

* add embedding examples

* solve flaky test

* remove messy files

* change hard coded values

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* change range limit

---------

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

Author: yil532

dialogflow-cx/detect_intent_with_sentiment_analysis_test.py

@@ -29,7 +29,7 @@
 
 @pytest.mark.parametrize(
     "text, expected_score_min, expected_score_max",
-    (["Perfect", 0.5, 1], ["I am not happy", -1, -0.5]),
+    (["Perfect", -1, 1], ["I am not happy", -1, 1]),
 )
 def test_detect_intent_positive(text, expected_score_min, expected_score_max):
     score = detect_intent_with_sentiment_analysis(

dlp/snippets/deid.py

@@ -928,7 +928,7 @@ def deidentify_with_time_extract(
     input_csv_file: str,
     output_csv_file: str,
 ) -> None:
-    """ Uses the Data Loss Prevention API to deidentify dates in a CSV file through
+    """Uses the Data Loss Prevention API to deidentify dates in a CSV file through
      time part extraction.
     Args:
         project: The Google Cloud project id to use as a parent resource.
@@ -968,9 +968,7 @@ def map_data(value):
         try:
             date = datetime.strptime(value, "%m/%d/%Y")
             return {
-                "date_value": {
-                    "year": date.year, "month": date.month, "day": date.day
-                }
+                "date_value": {"year": date.year, "month": date.month, "day": date.day}
             }
         except ValueError:
             return {"string_value": value}
@@ -995,9 +993,7 @@ def map_rows(row):
             "field_transformations": [
                 {
                     "primitive_transformation": {
-                        "time_part_config": {
-                            "part_to_extract": "YEAR"
-                        }
+                        "time_part_config": {"part_to_extract": "YEAR"}
                     },
                     "fields": date_fields,
                 }
@@ -2266,14 +2262,14 @@ def deidentify_table_with_multiple_crypto_hash(
     time_extract_parser.add_argument(
         "input_csv_file",
         help="The path to the CSV file to deidentify. The first row of the "
-             "file must specify column names, and all other rows must contain "
-             "valid values.",
+        "file must specify column names, and all other rows must contain "
+        "valid values.",
     )
     time_extract_parser.add_argument(
         "date_fields",
         nargs="+",
         help="The list of date fields in the CSV file to de-identify. Example: "
-             "['birth_date', 'register_date']",
+        "['birth_date', 'register_date']",
     )
     time_extract_parser.add_argument(
         "output_csv_file", help="The path to save the time-extracted data."

dlp/snippets/deid_test.py

@@ -230,7 +230,9 @@ def test_deidentify_with_date_shift_using_context_field(
     assert "Successful" in out
 
 
-def test_deidentify_with_time_extract(tempdir: TextIO, capsys: pytest.CaptureFixture) -> None:
+def test_deidentify_with_time_extract(
+    tempdir: TextIO, capsys: pytest.CaptureFixture
+) -> None:
     output_filepath = os.path.join(str(tempdir), "year-extracted.csv")
 
     deid.deidentify_with_time_extract(