feat: rejected eval queue to avoid ddos

app.py

@@ -118,6 +118,7 @@ if not LEADERBOARD_DF.empty:
     finished_eval_queue_df,
     running_eval_queue_df,
     pending_eval_queue_df,
+    rejected_eval_queue_df,
 ) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
 
 def init_leaderboard(dataframe):

src/populate.py

@@ -68,7 +68,7 @@ def get_evaluation_queue_df(eval_requests_path, eval_cols):
         finished_data = []
         running_data = []
         pending_data = []
-        
+        rejected_data = []
         for file_path in request_files:
             try:
                 with open(file_path, "r", encoding="utf-8") as f:
@@ -77,10 +77,7 @@ def get_evaluation_queue_df(eval_requests_path, eval_cols):
                     # Extract relevant fields
                     row = {
                         "library": data.get("library", ""),
-                        "version": data.get("version", ""),
                         "language": data.get("language", ""),
-                        "framework": data.get("framework", ""),
-                        "library_type": data.get("library_type", ""),
                         "status": data.get("status", "UNKNOWN")
                     }
                     
@@ -91,6 +88,8 @@ def get_evaluation_queue_df(eval_requests_path, eval_cols):
                         running_data.append(row)
                     elif row["status"] == "PENDING":
                         pending_data.append(row)
+                    elif row["status"] == "REJECTED":
+                        rejected_data.append(row)
             except Exception as e:
                 print(f"Error reading request file {file_path}: {e}")
                 continue
@@ -99,11 +98,11 @@ def get_evaluation_queue_df(eval_requests_path, eval_cols):
         finished_df = pd.DataFrame(finished_data, columns=eval_cols)
         running_df = pd.DataFrame(running_data, columns=eval_cols)
         pending_df = pd.DataFrame(pending_data, columns=eval_cols)
-        
-        return finished_df, running_df, pending_df
+        rejected_df = pd.DataFrame(rejected_data, columns=eval_cols)
+        return finished_df, running_df, pending_df, rejected_df
         
     except Exception as e:
         print(f"Error reading evaluation queue: {e}")
         # Return empty dataframes
         empty_df = pd.DataFrame(columns=eval_cols)
-        return empty_df.copy(), empty_df.copy(), empty_df.copy()
+        return empty_df.copy(), empty_df.copy(), empty_df.copy(), empty_df.copy()