tests: remove warning spew (#197)

Fixes: #196

tests/unit/test__pandas_helpers.py

@@ -20,6 +20,7 @@
 import warnings
 
 import mock
+import six
 
 try:
     import pandas
@@ -299,7 +300,10 @@ def test_bq_to_arrow_data_type_w_struct(module_under_test, bq_type):
         )
     )
     assert pyarrow.types.is_struct(actual)
-    assert actual.num_children == len(fields)
+    try:
+        assert actual.num_fields == len(fields)
+    except AttributeError:  # py27
+        assert actual.num_children == len(fields)
     assert actual.equals(expected)
 
 
@@ -344,7 +348,10 @@ def test_bq_to_arrow_data_type_w_array_struct(module_under_test, bq_type):
     )
     assert pyarrow.types.is_list(actual)
     assert pyarrow.types.is_struct(actual.value_type)
-    assert actual.value_type.num_children == len(fields)
+    try:
+        assert actual.value_type.num_fields == len(fields)
+    except AttributeError:  # py27
+        assert actual.value_type.num_children == len(fields)
     assert actual.value_type.equals(expected_value_type)
 
 
@@ -542,9 +549,17 @@ def test_bq_to_arrow_schema_w_unknown_type(module_under_test):
         # instead.
         schema.SchemaField("field3", "UNKNOWN_TYPE"),
     )
-    actual = module_under_test.bq_to_arrow_schema(fields)
+    with warnings.catch_warnings(record=True) as warned:
+        actual = module_under_test.bq_to_arrow_schema(fields)
     assert actual is None
 
+    if six.PY3:
+        assert len(warned) == 1
+        warning = warned[0]
+        assert "field3" in str(warning)
+    else:
+        assert len(warned) == 0
+
 
 @pytest.mark.skipif(pandas is None, reason="Requires `pandas`")
 def test_get_column_or_index_not_found(module_under_test):

tests/unit/test_client.py

@@ -221,7 +221,8 @@ def test__call_api_applying_custom_retry_on_timeout(self):
         from concurrent.futures import TimeoutError
         from google.cloud.bigquery.retry import DEFAULT_RETRY
 
-        client = self._make_one(project=self.PROJECT)
+        creds = _make_credentials()
+        client = self._make_one(project=self.PROJECT, credentials=creds)
 
         api_request_patcher = mock.patch.object(
             client._connection, "api_request", side_effect=[TimeoutError, "result"],
@@ -674,7 +675,8 @@ def test_create_bqstorage_client(self):
         mock_client.assert_called_once_with(credentials=creds)
 
     def test_create_bqstorage_client_missing_dependency(self):
-        client = self._make_one(project=self.PROJECT)
+        creds = _make_credentials()
+        client = self._make_one(project=self.PROJECT, credentials=creds)
 
         def fail_bqstorage_import(name, globals, locals, fromlist, level):
             # NOTE: *very* simplified, assuming a straightforward absolute import
@@ -7680,17 +7682,24 @@ def test_load_table_from_dataframe_wo_pyarrow_custom_compression(self):
         )
 
         with load_patch, get_table_patch, pyarrow_patch, to_parquet_patch as to_parquet_spy:
-            client.load_table_from_dataframe(
-                dataframe,
-                self.TABLE_REF,
-                location=self.LOCATION,
-                parquet_compression="gzip",
-            )
+            with warnings.catch_warnings(record=True) as warned:
+                client.load_table_from_dataframe(
+                    dataframe,
+                    self.TABLE_REF,
+                    location=self.LOCATION,
+                    parquet_compression="gzip",
+                )
 
         call_args = to_parquet_spy.call_args
         assert call_args is not None
         assert call_args.kwargs.get("compression") == "gzip"
 
+        assert len(warned) == 2
+        warning = warned[0]
+        assert "Loading dataframe data without pyarrow" in str(warning)
+        warning = warned[1]
+        assert "Please install the pyarrow package" in str(warning)
+
     @unittest.skipIf(pandas is None, "Requires `pandas`")
     @unittest.skipIf(pyarrow is None, "Requires `pyarrow`")
     def test_load_table_from_dataframe_w_nulls(self):

tests/unit/test_job.py

@@ -17,6 +17,7 @@
 import json
 import textwrap
 import unittest
+import warnings
 
 import freezegun
 import mock
@@ -1834,26 +1835,34 @@ def test_time_partitioning_hit(self):
             "expirationMs": str(year_ms),
             "requirePartitionFilter": False,
         }
-        expected = TimePartitioning(
-            type_=TimePartitioningType.DAY,
-            field=field,
-            expiration_ms=year_ms,
-            require_partition_filter=False,
-        )
+        with warnings.catch_warnings(record=True) as warned:
+            expected = TimePartitioning(
+                type_=TimePartitioningType.DAY,
+                field=field,
+                expiration_ms=year_ms,
+                require_partition_filter=False,
+            )
         self.assertEqual(config.time_partitioning, expected)
 
+        assert len(warned) == 1
+        warning = warned[0]
+        assert "TimePartitioning.require_partition_filter" in str(warning)
+
     def test_time_partitioning_setter(self):
         from google.cloud.bigquery.table import TimePartitioning
         from google.cloud.bigquery.table import TimePartitioningType
 
         field = "creation_date"
         year_ms = 86400 * 1000 * 365
-        time_partitioning = TimePartitioning(
-            type_=TimePartitioningType.DAY,
-            field=field,
-            expiration_ms=year_ms,
-            require_partition_filter=False,
-        )
+
+        with warnings.catch_warnings(record=True) as warned:
+            time_partitioning = TimePartitioning(
+                type_=TimePartitioningType.DAY,
+                field=field,
+                expiration_ms=year_ms,
+                require_partition_filter=False,
+            )
+
         config = self._get_target_class()()
         config.time_partitioning = time_partitioning
         expected = {
@@ -1864,6 +1873,10 @@ def test_time_partitioning_setter(self):
         }
         self.assertEqual(config._properties["load"]["timePartitioning"], expected)
 
+        assert len(warned) == 1
+        warning = warned[0]
+        assert "TimePartitioning.require_partition_filter" in str(warning)
+
     def test_time_partitioning_setter_w_none(self):
         from google.cloud.bigquery.table import TimePartitioningType
 
@@ -5595,7 +5608,10 @@ def test_to_dataframe_column_date_dtypes_wo_pyarrow(self):
         job = self._make_one(self.JOB_ID, self.QUERY, client)
 
         with mock.patch("google.cloud.bigquery.table.pyarrow", None):
-            df = job.to_dataframe(date_as_object=False, create_bqstorage_client=False)
+            with warnings.catch_warnings(record=True) as warned:
+                df = job.to_dataframe(
+                    date_as_object=False, create_bqstorage_client=False
+                )
 
         self.assertIsInstance(df, pandas.DataFrame)
         self.assertEqual(len(df), 1)  # verify the number of rows
@@ -5604,6 +5620,10 @@ def test_to_dataframe_column_date_dtypes_wo_pyarrow(self):
 
         self.assertEqual(df.date.dtype.name, "object")
 
+        assert len(warned) == 1
+        warning = warned[0]
+        assert "without pyarrow" in str(warning)
+
     @unittest.skipIf(pandas is None, "Requires `pandas`")
     @unittest.skipIf(tqdm is None, "Requires `tqdm`")
     @mock.patch("tqdm.tqdm")

tests/unit/test_magics.py

@@ -399,7 +399,7 @@ def test_bigquery_magic_without_optional_arguments(monkeypatch):
 
     # Set up the context with monkeypatch so that it's reset for subsequent
     # tests.
-    monkeypatch.setattr(magics.context, "credentials", mock_credentials)
+    monkeypatch.setattr(magics.context, "_credentials", mock_credentials)
 
     # Mock out the BigQuery Storage API.
     bqstorage_mock = mock.create_autospec(bigquery_storage_v1.BigQueryReadClient)
@@ -560,7 +560,7 @@ def test_bigquery_magic_with_bqstorage_from_argument(monkeypatch):
 
     # Set up the context with monkeypatch so that it's reset for subsequent
     # tests.
-    monkeypatch.setattr(magics.context, "credentials", mock_credentials)
+    monkeypatch.setattr(magics.context, "_credentials", mock_credentials)
 
     # Mock out the BigQuery Storage API.
     bqstorage_mock = mock.create_autospec(bigquery_storage_v1.BigQueryReadClient)
@@ -624,7 +624,7 @@ def test_bigquery_magic_with_rest_client_requested(monkeypatch):
 
     # Set up the context with monkeypatch so that it's reset for subsequent
     # tests.
-    monkeypatch.setattr(magics.context, "credentials", mock_credentials)
+    monkeypatch.setattr(magics.context, "_credentials", mock_credentials)
 
     # Mock out the BigQuery Storage API.
     bqstorage_mock = mock.create_autospec(bigquery_storage_v1.BigQueryReadClient)

tests/unit/test_table.py

@@ -1778,7 +1778,8 @@ def test_to_arrow_w_unknown_type(self):
         api_request = mock.Mock(return_value={"rows": rows})
         row_iterator = self._make_one(_mock_client(), api_request, path, schema)
 
-        tbl = row_iterator.to_arrow(create_bqstorage_client=False)
+        with warnings.catch_warnings(record=True) as warned:
+            tbl = row_iterator.to_arrow(create_bqstorage_client=False)
 
         self.assertIsInstance(tbl, pyarrow.Table)
         self.assertEqual(tbl.num_rows, 2)
@@ -1799,6 +1800,10 @@ def test_to_arrow_w_unknown_type(self):
         self.assertEqual(ages, [33, 29])
         self.assertEqual(sports, ["volleyball", "basketball"])
 
+        self.assertEqual(len(warned), 1)
+        warning = warned[0]
+        self.assertTrue("sport" in str(warning))
+
     @unittest.skipIf(pyarrow is None, "Requires `pyarrow`")
     def test_to_arrow_w_empty_table(self):
         from google.cloud.bigquery.schema import SchemaField
@@ -2370,13 +2375,18 @@ def test_to_dataframe_progress_bar_wo_pyarrow(
         for progress_bar_type, progress_bar_mock in progress_bars:
             row_iterator = self._make_one(_mock_client(), api_request, path, schema)
             with mock.patch("google.cloud.bigquery.table.pyarrow", None):
-                df = row_iterator.to_dataframe(progress_bar_type=progress_bar_type)
+                with warnings.catch_warnings(record=True) as warned:
+                    df = row_iterator.to_dataframe(progress_bar_type=progress_bar_type)
 
             progress_bar_mock.assert_called()
             progress_bar_mock().update.assert_called()
             progress_bar_mock().close.assert_called_once()
             self.assertEqual(len(df), 4)
 
+            self.assertEqual(len(warned), 1)
+            warning = warned[0]
+            self.assertTrue("without pyarrow" in str(warning))
+
     @unittest.skipIf(pandas is None, "Requires `pandas`")
     @mock.patch("google.cloud.bigquery.table.tqdm", new=None)
     def test_to_dataframe_no_tqdm_no_progress_bar(self):
@@ -2499,12 +2509,17 @@ def test_to_dataframe_w_empty_results_wo_pyarrow(self):
             api_request = mock.Mock(return_value={"rows": []})
             row_iterator = self._make_one(_mock_client(), api_request, schema=schema)
 
-            df = row_iterator.to_dataframe()
+            with warnings.catch_warnings(record=True) as warned:
+                df = row_iterator.to_dataframe()
 
             self.assertIsInstance(df, pandas.DataFrame)
             self.assertEqual(len(df), 0)  # verify the number of rows
             self.assertEqual(list(df), ["name", "age"])  # verify the column names
 
+            self.assertEqual(len(warned), 1)
+            warning = warned[0]
+            self.assertTrue("without pyarrow" in str(warning))
+
     @unittest.skipIf(pandas is None, "Requires `pandas`")
     def test_to_dataframe_w_no_results_wo_pyarrow(self):
         from google.cloud.bigquery.schema import SchemaField
@@ -2522,12 +2537,17 @@ def empty_iterable(dtypes=None):
 
             row_iterator.to_dataframe_iterable = empty_iterable
 
-            df = row_iterator.to_dataframe()
+            with warnings.catch_warnings(record=True) as warned:
+                df = row_iterator.to_dataframe()
 
             self.assertIsInstance(df, pandas.DataFrame)
             self.assertEqual(len(df), 0)  # verify the number of rows
             self.assertEqual(list(df), ["name", "age"])  # verify the column names
 
+            self.assertEqual(len(warned), 1)
+            warning = warned[0]
+            self.assertTrue("without pyarrow" in str(warning))
+
     @unittest.skipIf(pandas is None, "Requires `pandas`")
     def test_to_dataframe_w_various_types_nullable(self):
         import datetime
@@ -2787,11 +2807,19 @@ def test_to_dataframe_w_bqstorage_v1beta1_no_streams(self):
             table=mut.TableReference.from_string("proj.dset.tbl"),
         )
 
-        got = row_iterator.to_dataframe(bqstorage_client)
+        with warnings.catch_warnings(record=True) as warned:
+            got = row_iterator.to_dataframe(bqstorage_client)
+
         column_names = ["colA", "colC", "colB"]
         self.assertEqual(list(got), column_names)
         self.assertTrue(got.empty)
 
+        self.assertEqual(len(warned), 1)
+        warning = warned[0]
+        self.assertTrue(
+            "Support for BigQuery Storage v1beta1 clients is deprecated" in str(warning)
+        )
+
     @unittest.skipIf(
         bigquery_storage_v1 is None, "Requires `google-cloud-bigquery-storage`"
     )
@@ -3493,7 +3521,10 @@ def test_to_dataframe_concat_categorical_dtype_wo_pyarrow(self):
 
         row_iterator = self._make_one(_mock_client(), api_request, path, schema)
 
-        with mock.patch("google.cloud.bigquery.table.pyarrow", None):
+        mock_pyarrow = mock.patch("google.cloud.bigquery.table.pyarrow", None)
+        catch_warnings = warnings.catch_warnings(record=True)
+
+        with mock_pyarrow, catch_warnings as warned:
             got = row_iterator.to_dataframe(
                 dtypes={
                     "col_category": pandas.core.dtypes.dtypes.CategoricalDtype(
@@ -3522,6 +3553,10 @@ def test_to_dataframe_concat_categorical_dtype_wo_pyarrow(self):
             ["low", "medium", "low", "medium", "high", "low"],
         )
 
+        self.assertEqual(len(warned), 1)
+        warning = warned[0]
+        self.assertTrue("without pyarrow" in str(warning))
+
 
 class TestPartitionRange(unittest.TestCase):
     def _get_target_class(self):