fix arg inconsistencies

Author: TrevorBergeron

bigframes/pandas/io/api.py

@@ -620,14 +620,12 @@ def read_orc(
 def read_avro(
     path: str | IO["bytes"],
     *,
-    engine: str = "bigquery",
-    write_engine: constants.WriteEngineType = "default",
+    engine: str = "auto",
 ) -> bigframes.dataframe.DataFrame:
     return global_session.with_default_session(
         bigframes.session.Session.read_avro,
         path,
         engine=engine,
-        write_engine=write_engine,
     )
 
 

bigframes/session/__init__.py

@@ -1424,23 +1424,23 @@ def read_avro(
         self,
         path: str | IO["bytes"],
         *,
-        engine: str = "default",
+        engine: str = "auto",
     ) -> dataframe.DataFrame:
         """Load an Avro file to a BigQuery DataFrames DataFrame.
 
         Args:
             path (str or IO):
                 The path or buffer to the Avro file. Can be a local path or Google Cloud Storage URI.
-            engine (str, default "default"):
+            engine (str, default "auto"):
                 The engine used to read the file. Only `bigquery` is supported for Avro.
 
         Returns:
             bigframes.dataframe.DataFrame:
                 A new DataFrame representing the data from the Avro file.
         """
-        if engine not in ("default", "bigquery"):
+        if engine not in ("auto", "bigquery"):
             raise ValueError(
-                f"Unsupported engine: {repr(engine)}. Supported values: 'default', 'bigquery'."
+                f"Unsupported engine: {repr(engine)}. Supported values: 'auto', 'bigquery'."
             )
 
         job_config = bigquery.LoadJobConfig()