fix: read_csv fails when check file size for wildcard gcs files

bigframes/session/__init__.py

@@ -18,6 +18,8 @@
 
 from collections import abc
 import datetime
+import fnmatch
+import inspect
 import logging
 import os
 import secrets
@@ -1344,12 +1346,24 @@ def read_json(
     def _check_file_size(self, filepath: str):
         max_size = 1024 * 1024 * 1024  # 1 GB in bytes
         if filepath.startswith("gs://"):  # GCS file path
+            bucket_name, blob_path = filepath.split("/", 3)[2:]
+
             client = storage.Client()
-            bucket_name, blob_name = filepath.split("/", 3)[2:]
             bucket = client.bucket(bucket_name)
-            blob = bucket.blob(blob_name)
-            blob.reload()
-            file_size = blob.size
+
+            list_blobs_params = inspect.signature(bucket.list_blobs).parameters
+            if "match_glob" in list_blobs_params:
+                # Modern, efficient method for new library versions
+                matching_blobs = bucket.list_blobs(match_glob=blob_path)
+                file_size = sum(blob.size for blob in matching_blobs)
+            else:
+                # Fallback method for older library versions
+                prefix = blob_path.split("*", 1)[0]
+                all_blobs = bucket.list_blobs(prefix=prefix)
+                matching_blobs = [
+                    blob for blob in all_blobs if fnmatch.fnmatch(blob.name, blob_path)
+                ]
+                file_size = sum(blob.size for blob in matching_blobs)
         elif os.path.exists(filepath):  # local file path
             file_size = os.path.getsize(filepath)
         else:

tests/system/small/test_session.py

@@ -1287,6 +1287,32 @@ def test_read_csv_raises_error_for_invalid_index_col(
         session.read_csv(path, engine="bigquery", index_col=index_col)
 
 
+def test_read_csv_for_gcs_wildcard_path(session, df_and_gcs_csv):
+    scalars_pandas_df, path = df_and_gcs_csv
+    path = path.replace(".csv", "*.csv")
+
+    index_col = "rowindex"
+    bf_df = session.read_csv(path, engine="bigquery", index_col=index_col)
+
+    # Convert default pandas dtypes to match BigQuery DataFrames dtypes.
+    # Also, `expand=True` is needed to read from wildcard paths. See details:
+    # https://github.com/fsspec/gcsfs/issues/616,
+    if not pd.__version__.startswith("1."):
+        storage_options = {"expand": True}
+    else:
+        storage_options = None
+    pd_df = session.read_csv(
+        path,
+        index_col=index_col,
+        dtype=scalars_pandas_df.dtypes.to_dict(),
+        storage_options=storage_options,
+    )
+
+    assert bf_df.shape == pd_df.shape
+    assert bf_df.columns.tolist() == pd_df.columns.tolist()
+    pd.testing.assert_frame_equal(bf_df.to_pandas(), pd_df.to_pandas())
+
+
 def test_read_csv_for_names(session, df_and_gcs_csv_for_two_columns):
     _, path = df_and_gcs_csv_for_two_columns