Update src/populate.py

src/populate.py

@@ -9,7 +9,6 @@ from src.leaderboard.read_evals import get_raw_eval_results
 
 
 def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchmark_cols: list) -> pd.DataFrame:
-    """Creates a dataframe from all the individual experiment results"""
     raw_data = get_raw_eval_results(results_path, requests_path)
     all_data_json = [v.to_dict() for v in raw_data]
 
@@ -17,13 +16,17 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
     df = df[cols].round(decimals=2)
 
-    # filter out if any of the benchmarks have not been produced
+    # 모델명 컬럼에 클릭 가능한 링크 적용
+    if "model" in df.columns:
+        df["model"] = df["model"].apply(make_clickable_model)
+
+    # 모든 벤치마크가 생산되지 않은 행은 필터링
     df = df[has_no_nan_values(df, benchmark_cols)]
     return df
 
 
 def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
-    """Creates the different dataframes for the evaluation queues requestes"""
+    """평가 대기열에 대한 각 DataFrame을 생성합니다."""
     entries = [entry for entry in os.listdir(save_path) if not entry.startswith(".")]
     all_evals = []
 
@@ -38,8 +41,9 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
 
             all_evals.append(data)
         elif ".md" not in entry:
-            # this is a folder
-            sub_entries = [e for e in os.listdir(f"{save_path}/{entry}") if os.path.isfile(e) and not e.startswith(".")]
+            # 폴더인 경우: 파일 여부를 확인할 때 전체 경로를 사용
+            sub_entries = [e for e in os.listdir(os.path.join(save_path, entry))
+                           if os.path.isfile(os.path.join(save_path, entry, e)) and not e.startswith(".")]
             for sub_entry in sub_entries:
                 file_path = os.path.join(save_path, entry, sub_entry)
                 with open(file_path) as fp: