Update src/populate.py

src/populate.py

@@ -22,44 +22,6 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     return raw_data, 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(".")]
-#     all_evals = []
-
-#     for entry in entries:
-#         if ".json" in entry:
-#             file_path = os.path.join(save_path, entry)
-#             with open(file_path) as fp:
-#                 print(file_path)
-#                 print("\n")
-#                 data = json.load(fp)
-
-#             data[EvalQueueColumn.model.name] = make_clickable_model(data["model"])
-#             data[EvalQueueColumn.revision.name] = data.get("revision", "main")
-
-#             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 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:
-#                     print(file_path)
-#                     print("\n")
-#                     data = json.load(fp)
-
-#                 data[EvalQueueColumn.model.name] = make_clickable_model(data["model"])
-#                 data[EvalQueueColumn.revision.name] = data.get("revision", "main")
-#                 all_evals.append(data)
-
-#     pending_list = [e for e in all_evals if e["status"] in ["PENDING", "RERUN"]]
-#     running_list = [e for e in all_evals if e["status"] == "RUNNING"]
-#     finished_list = [e for e in all_evals if e["status"].startswith("FINISHED") or e["status"] == "PENDING_NEW_EVAL"]
-#     df_pending = pd.DataFrame.from_records(pending_list, columns=cols)
-#     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) -> list[pd.DataFrame]:
     entries = [entry for entry in os.listdir(save_path) if not entry.startswith(".")]
     all_evals = []