[dlp] fix: add retry count to mitigate the flake (#4152)

fixes #4100
GoogleCloudPlatform · Jun 24, 2020 · 22ba0ce · 22ba0ce
1 parent 56a9d1c
commit 22ba0ce
Showing 1 changed file with 10 additions and 10 deletions.
diff --git a/dlp/risk_test.py b/dlp/risk_test.py
@@ -165,7 +165,7 @@ def bigquery_project():
     bigquery_client.delete_dataset(dataset_ref, delete_contents=True)
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_numerical_risk_analysis(
     topic_id, subscription_id, bigquery_project, capsys
 ):
@@ -184,7 +184,7 @@ def test_numerical_risk_analysis(
     assert "Value Range:" in out
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_categorical_risk_analysis_on_string_field(
     topic_id, subscription_id, bigquery_project, capsys
 ):
@@ -203,7 +203,7 @@ def test_categorical_risk_analysis_on_string_field(
     assert "Most common value occurs" in out
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_categorical_risk_analysis_on_number_field(
     topic_id, subscription_id, bigquery_project, capsys
 ):
@@ -222,7 +222,7 @@ def test_categorical_risk_analysis_on_number_field(
     assert "Most common value occurs" in out
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_k_anonymity_analysis_single_field(
     topic_id, subscription_id, bigquery_project, capsys
 ):
@@ -242,7 +242,7 @@ def test_k_anonymity_analysis_single_field(
     assert "Class size:" in out
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_k_anonymity_analysis_multiple_fields(
     topic_id, subscription_id, bigquery_project, capsys
 ):
@@ -262,7 +262,7 @@ def test_k_anonymity_analysis_multiple_fields(
     assert "Class size:" in out
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_l_diversity_analysis_single_field(
     topic_id, subscription_id, bigquery_project, capsys
 ):
@@ -284,7 +284,7 @@ def test_l_diversity_analysis_single_field(
     assert "Sensitive value" in out
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_l_diversity_analysis_multiple_field(
     topic_id, subscription_id, bigquery_project, capsys
 ):
@@ -306,7 +306,7 @@ def test_l_diversity_analysis_multiple_field(
     assert "Sensitive value" in out
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_k_map_estimate_analysis_single_field(
     topic_id, subscription_id, bigquery_project, capsys
 ):
@@ -328,7 +328,7 @@ def test_k_map_estimate_analysis_single_field(
     assert "Values" in out
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_k_map_estimate_analysis_multiple_field(
     topic_id, subscription_id, bigquery_project, capsys
 ):
@@ -350,7 +350,7 @@ def test_k_map_estimate_analysis_multiple_field(
     assert "Values" in out
 
 
-@pytest.mark.flaky(max_runs=2, min_passes=1)
+@pytest.mark.flaky(max_runs=3, min_passes=1)
 def test_k_map_estimate_analysis_quasi_ids_info_types_equal(
     topic_id, subscription_id, bigquery_project
 ):