import json
import os

import pandas as pd

from src.display.formatting import has_no_nan_values, make_clickable_model
from src.display.utils import AutoEvalColumn, EvalQueueColumn
from src.leaderboard.read_evals import get_raw_eval_results


def get_leaderboard_df(eval_results_path, eval_requests_path, cols, benchmark_cols):
    # Load evaluation results into a DataFrame
    df = load_evaluation_results(eval_results_path)

    # Check if the DataFrame is empty
    if df.empty:
        print("No evaluation results found. The leaderboard is currently empty.")
        # Create an empty DataFrame with the required columns
        df = pd.DataFrame(columns=cols)
        return df

    # Proceed to sort the DataFrame by 'average' if it's not empty
    df = df.sort_values(by=['average'], ascending=False)

    return df


def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
    """Creates the different dataframes for the evaluation queues requests"""
    # Since evaluations are performed immediately, the queues will be empty
    # We'll return empty DataFrames for compatibility
    df_empty = pd.DataFrame(columns=cols)
    return df_empty, df_empty, df_empty