Removing envs variables

src/populate.py

@@ -93,7 +93,7 @@ def get_leaderboard_df(eval_results_path, eval_requests_path, cols, benchmark_co
         df = df.dropna(subset=existing_benchmarks, how="any")
 
     return df
-
+'''
 def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
     """Creates the different dataframes for the evaluation queues requestes"""
     entries = [entry for entry in os.listdir(save_path) if not entry.startswith(".")]
@@ -128,3 +128,21 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
     df_running = pd.DataFrame.from_records(running_list, columns=cols)
     df_finished = pd.DataFrame.from_records(finished_list, columns=cols)
     return df_finished[cols], df_running[cols], df_pending[cols]
+'''
+def get_evaluation_queue_df(save_path: str, cols: list):
+    """
+    Stubbed evaluation queue.
+
+    You are not using a requests dataset / eval queue, so we just:
+    - ensure the directory exists, and
+    - return three empty dataframes (finished, running, pending)
+      with the expected columns.
+    """
+    # Make sure the folder exists so nothing crashes on missing dir
+    os.makedirs(save_path, exist_ok=True)
+
+    empty_df = pd.DataFrame(columns=cols)
+
+    # The order here must match how app.py unpacks the result:
+    # finished_df, running_df, pending_df = get_evaluation_queue_df(...)
+    return empty_df, empty_df.copy(), empty_df.copy()