chore: include pandas accessors in api logging (#2524)

Follow-up to #2518 

🦕

Author: tswast

bigframes/extensions/pandas/__init__.py

@@ -11,3 +11,15 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+
+"""
+BigQuery DataFrames automatically registers a pandas extenstion when imported.
+This allows you to use the power of the BigQuery engine with pandas objects
+directly.
+"""
+
+from bigframes.extensions.pandas.dataframe_accessor import (
+    PandasBigQueryDataFrameAccessor,
+)
+
+__all__ = ["PandasBigQueryDataFrameAccessor"]

bigframes/extensions/pandas/dataframe_accessor.py

@@ -18,10 +18,12 @@
 import pandas.api.extensions
 
 import bigframes.core.global_session as bf_session
+from bigframes.core.logging import log_adapter
 import bigframes.pandas as bpd
 
 
-class AIAccessor:
+@log_adapter.class_logger
+class PandasAIAccessor:
     """
     Pandas DataFrame accessor for BigQuery AI functions.
     """
@@ -101,7 +103,8 @@ def forecast(
 
 
 @pandas.api.extensions.register_dataframe_accessor("bigquery")
-class BigQueryDataFrameAccessor:
+@log_adapter.class_logger
+class PandasBigQueryDataFrameAccessor:
     """
     Pandas DataFrame accessor for BigQuery DataFrames functionality.
 
@@ -112,11 +115,11 @@ def __init__(self, pandas_obj: pandas.DataFrame):
         self._obj = pandas_obj
 
     @property
-    def ai(self) -> "AIAccessor":
+    def ai(self) -> "PandasAIAccessor":
         """
         Accessor for BigQuery AI functions.
         """
-        return AIAccessor(self._obj)
+        return PandasAIAccessor(self._obj)
 
     def sql_scalar(self, sql_template: str, *, output_dtype=None, session=None):
         """

docs/reference/index.rst

@@ -27,7 +27,7 @@ BigQuery DataFrames provides extensions to pandas DataFrame objects.
 .. autosummary::
     :toctree: api
 
-    bigframes.extensions.pandas.dataframe_accessor.BigQueryDataFrameAccessor
+    bigframes.extensions.pandas
 
 ML APIs
 ~~~~~~~

tests/unit/extensions/pandas/test_registration.py

@@ -22,6 +22,8 @@ def test_bigframes_import_registers_accessor():
     df = pd.DataFrame({"a": [1]})
     # If bigframes was imported, df.bigquery should exist
     assert hasattr(df, "bigquery")
-    from bigframes.extensions.pandas.dataframe_accessor import BigQueryDataFrameAccessor
+    from bigframes.extensions.pandas.dataframe_accessor import (
+        PandasBigQueryDataFrameAccessor,
+    )
 
-    assert isinstance(df.bigquery, BigQueryDataFrameAccessor)
+    assert isinstance(df.bigquery, PandasBigQueryDataFrameAccessor)