fix(google-cloud-bigquery): include pyopenssl as a dependency (#17345)

This seems to be required when I do a fresh Python 3.14 install. Also,
- updates the pandas tests to relax data type assertions on
timestamp/datetime.
See internal issue b/516834095#comment8
🦕

Author: tswast

packages/google-cloud-bigquery/pyproject.toml

@@ -42,7 +42,7 @@ classifiers = [
 ]
 dependencies = [
 "google-api-core[grpc] >= 2.11.1, < 3.0.0",
-"google-auth >= 2.14.1, < 3.0.0",
+"google-auth[pyopenssl] >= 2.14.1, < 3.0.0",
 "google-cloud-core >= 2.4.1, < 3.0.0",
 "google-resumable-media >= 2.0.0, < 3.0.0",
 "packaging >= 24.2.0",

packages/google-cloud-bigquery/tests/system/test_pandas.py

@@ -17,8 +17,8 @@
 importcollections
 importdatetime
 importdecimal
-importjson
 importio
+importjson
 importoperator
 importwarnings
 
@@ -31,12 +31,10 @@
 importimportlib_metadataasmetadata
 
 fromgoogle.cloudimportbigquery
-
 fromgoogle.cloud.bigqueryimportenums
 
 from . importhelpers
 
-
 pandas=pytest.importorskip("pandas", minversion="0.23.0")
 pyarrow=pytest.importorskip("pyarrow")
 numpy=pytest.importorskip("numpy")
@@ -957,8 +955,7 @@ def get_rows():
 
 
 deftest_nested_table_to_dataframe(bigquery_client, dataset_id):
-fromgoogle.cloud.bigquery.jobimportSourceFormat
-fromgoogle.cloud.bigquery.jobimportWriteDisposition
+fromgoogle.cloud.bigquery.jobimportSourceFormat, WriteDisposition
 
 SF=bigquery.SchemaField
 schema= [
@@ -1085,10 +1082,13 @@ def test_list_rows_nullable_scalars_dtypes(bigquery_client, scalars_table, max_r
  ).to_dataframe()
 
 assertdf.dtypes["bool_col"].name=="boolean"
-assertdf.dtypes["datetime_col"].name=="datetime64[ns]"
+assertdf.dtypes["datetime_col"].namein ("datetime64[us]", "datetime64[ns]")
 assertdf.dtypes["float64_col"].name=="float64"
 assertdf.dtypes["int64_col"].name=="Int64"
-assertdf.dtypes["timestamp_col"].name=="datetime64[ns, UTC]"
+assertdf.dtypes["timestamp_col"].namein (
+"datetime64[us, UTC]",
+"datetime64[ns, UTC]",
+ )
 assertdf.dtypes["date_col"].name=="dbdate"
 assertdf.dtypes["time_col"].name=="dbtime"
 
@@ -1389,8 +1389,8 @@ def test_to_geodataframe(bigquery_client, dataset_id):
 deftest_load_geodataframe(bigquery_client, dataset_id):
 geopandas=pytest.importorskip("geopandas")
 importpandas
-fromshapelyimportwkt
 fromgoogle.cloud.bigquery.schemaimportSchemaField
+fromshapelyimportwkt
 
 df=geopandas.GeoDataFrame(
 pandas.DataFrame(
@@ -1450,8 +1450,8 @@ def test_load_dataframe_w_shapely(bigquery_client, dataset_id):
 
 deftest_load_dataframe_w_wkb(bigquery_client, dataset_id):
 wkt=pytest.importorskip("shapely.wkt")
-fromshapelyimportwkb
 fromgoogle.cloud.bigquery.schemaimportSchemaField
+fromshapelyimportwkb
 
 df=pandas.DataFrame(
 dict(name=["foo", "bar"], geo=[None, wkb.dumps(wkt.loads("Point(1 1)"))])

packages/google-cloud-bigquery/tests/unit/test_magics.py

@@ -14,22 +14,20 @@
 
 importcopy
 importre
+importwarnings
 fromconcurrentimportfutures
 fromunittestimportmock
-importwarnings
 
-fromgoogle.api_coreimportexceptions
 importgoogle.auth.credentials
 importpytest
-fromtests.unit.helpersimportmake_connection
-fromtest_utils.importsimportmaybe_fail_import
-
+fromgoogle.api_coreimportexceptions
 fromgoogle.cloudimportbigquery
 fromgoogle.cloud.bigqueryimportexceptionsasbq_exceptions
-fromgoogle.cloud.bigqueryimportjob
-fromgoogle.cloud.bigqueryimporttable
+fromgoogle.cloud.bigqueryimportjob, table
 fromgoogle.cloud.bigquery.retryimportDEFAULT_TIMEOUT
+fromtest_utils.importsimportmaybe_fail_import
 
+fromtests.unit.helpersimportmake_connection
 
 try:
 fromgoogle.cloud.bigquery.magicsimportmagics
@@ -2138,6 +2136,7 @@ def test_bigquery_magic_w_destination_table(monkeypatch):
 magics.context.credentials=mock.create_autospec(
 google.auth.credentials.Credentials, instance=True
  )
+magics.context._project="test-project"
 
 create_dataset_if_necessary_patch=mock.patch(
 "google.cloud.bigquery.magics.magics._create_dataset_if_necessary",
@@ -2171,6 +2170,7 @@ def test_bigquery_magic_create_dataset_fails(monkeypatch):
 magics.context.credentials=mock.create_autospec(
 google.auth.credentials.Credentials, instance=True
  )
+magics.context._project="test-project"
 
 create_dataset_if_necessary_patch=mock.patch(
 "google.cloud.bigquery.magics.magics._create_dataset_if_necessary",