Rename hook bigquery function _bq_cast to bq_cast

airflow/providers/google/cloud/hooks/bigquery.py

@@ -57,6 +57,7 @@
 
 from airflow.exceptions import AirflowException
 from airflow.providers.common.sql.hooks.sql import DbApiHook
+from airflow.providers.google.cloud.utils.bigquery import bq_cast
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.hooks.base_google import GoogleBaseAsyncHook, GoogleBaseHook, get_field
 from airflow.utils.helpers import convert_camel_to_snake
@@ -2738,7 +2739,7 @@ def next(self) -> list | None:
                 rows = query_results["rows"]
 
                 for dict_row in rows:
-                    typed_row = [_bq_cast(vs["v"], col_types[idx]) for idx, vs in enumerate(dict_row["f"])]
+                    typed_row = [bq_cast(vs["v"], col_types[idx]) for idx, vs in enumerate(dict_row["f"])]
                     self.buffer.append(typed_row)
 
                 if not self.page_token:
@@ -2843,25 +2844,6 @@ def _escape(s: str) -> str:
     return e
 
 
-def _bq_cast(string_field: str, bq_type: str) -> None | int | float | bool | str:
-    """
-    Helper method that casts a BigQuery row to the appropriate data types.
-    This is useful because BigQuery returns all fields as strings.
-    """
-    if string_field is None:
-        return None
-    elif bq_type == "INTEGER":
-        return int(string_field)
-    elif bq_type in ("FLOAT", "TIMESTAMP"):
-        return float(string_field)
-    elif bq_type == "BOOLEAN":
-        if string_field not in ["true", "false"]:
-            raise ValueError(f"{string_field} must have value 'true' or 'false'")
-        return string_field == "true"
-    else:
-        return string_field
-
-
 def split_tablename(
     table_input: str, default_project_id: str, var_name: str | None = None
 ) -> tuple[str, str, str]:
@@ -3068,7 +3050,7 @@ def get_records(self, query_results: dict[str, Any]) -> list[Any]:
             fields = query_results["schema"]["fields"]
             col_types = [field["type"] for field in fields]
             for dict_row in rows:
-                typed_row = [_bq_cast(vs["v"], col_types[idx]) for idx, vs in enumerate(dict_row["f"])]
+                typed_row = [bq_cast(vs["v"], col_types[idx]) for idx, vs in enumerate(dict_row["f"])]
                 buffer.append(typed_row)
         return buffer
 

airflow/providers/google/cloud/utils/bigquery.py

@@ -0,0 +1,36 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, 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.
+from __future__ import annotations
+
+
+def bq_cast(string_field: str, bq_type: str) -> None | int | float | bool | str:
+    """
+    Helper method that casts a BigQuery row to the appropriate data types.
+    This is useful because BigQuery returns all fields as strings.
+    """
+    if string_field is None:
+        return None
+    elif bq_type == "INTEGER":
+        return int(string_field)
+    elif bq_type in ("FLOAT", "TIMESTAMP"):
+        return float(string_field)
+    elif bq_type == "BOOLEAN":
+        if string_field not in ["true", "false"]:
+            raise ValueError(f"{string_field} must have value 'true' or 'false'")
+        return string_field == "true"
+    else:
+        return string_field