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"""A gradio app that renders a static leaderboard. This is used for Hugging Face Space."""
import ast
import argparse
import glob
import pickle

import gradio as gr
import numpy as np
import pandas as pd




def make_default_md():
    leaderboard_md = f"""
# πŸ† Babilong Leaderboard
| [GitHub](https://github.com/lm-sys/FastChat) | [Paper](https://arxiv.org/abs/2306.05685) | [Dataset](https://github.com/lm-sys/FastChat/blob/main/docs/dataset_release.md) |
"""
    return leaderboard_md


def make_arena_leaderboard_md():
    total_models = 'UNK'
    leaderboard_md = f"""Total #models: **{total_models}**. Last updated: Feb 28, 2024."""
    return leaderboard_md



def model_hyperlink(model_name, link):
    return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{model_name}</a>'


def load_leaderboard_table_csv(filename, add_hyperlink=True):
    lines = open(filename).readlines()
    heads = [v.strip() for v in lines[0].split(",")]
    rows = []
    for i in range(1, len(lines)):
        row = [v.strip() for v in lines[i].split(",")]
        for j in range(len(heads)):
            item = {}
            for h, v in zip(heads, row):
                if h == "Arena Elo rating":
                    if v != "-":
                        v = int(ast.literal_eval(v))
                    else:
                        v = np.nan
                elif h == "MMLU":
                    if v != "-":
                        v = round(ast.literal_eval(v) * 100, 1)
                    else:
                        v = np.nan
                elif h == "MT-bench (win rate %)":
                    if v != "-":
                        v = round(ast.literal_eval(v[:-1]), 1)
                    else:
                        v = np.nan
                elif h == "MT-bench (score)":
                    if v != "-":
                        v = round(ast.literal_eval(v), 2)
                    else:
                        v = np.nan
                item[h] = v
            if add_hyperlink:
                item["Model"] = model_hyperlink(item["Model"], item["Link"])
        rows.append(item)

    return rows


    

def build_leaderboard_tab():
    default_md = make_default_md()
    md_1 = gr.Markdown(default_md, elem_id="leaderboard_markdown")

    with gr.Tabs() as tabs:
        # arena table
        with gr.Tab("Arena Elo", id=0):
            md = make_arena_leaderboard_md()
            gr.Markdown(md, elem_id="leaderboard_markdown")
            gr.Dataframe(
                headers=[
                    "Rank",
                    "πŸ€– Model",
                    "qa 1",
                    "qa 2",
                    "qa 3",
                    "qa 4",
                    "qa 5",
                ],
                datatype=[
                    "str",
                    "markdown",
                    "number",
                    "number",
                    "number",
                    "number",
                    "number",
                ],
                # value=arena_table_vals,
                elem_id="arena_leaderboard_dataframe",
                height=700,
                column_widths=[50, 200, 150, 150, 150, 150, 150],
                wrap=True,
            )
   
    return [md_1]

block_css = """
#notice_markdown {
    font-size: 104%
}
#notice_markdown th {
    display: none;
}
#notice_markdown td {
    padding-top: 6px;
    padding-bottom: 6px;
}
#leaderboard_markdown {
    font-size: 104%
}
#leaderboard_markdown td {
    padding-top: 6px;
    padding-bottom: 6px;
}
#leaderboard_dataframe td {
    line-height: 0.1em;
}
footer {
    display:none !important
}
.image-container {
    display: flex;
    align-items: center;
    padding: 1px;
}
.image-container img {
    margin: 0 30px;
    height: 20px;
    max-height: 100%;
    width: auto;
    max-width: 20%;
}
"""



def build_demo():
    text_size = gr.themes.sizes.text_lg

    with gr.Blocks(
        title="Babilong leaderboard",
        theme=gr.themes.Base(text_size=text_size),
        css=block_css,
    ) as demo:
        leader_components = build_leaderboard_tab()
    return demo


if __name__ == "__main__":
    elo_result_files = glob.glob("elo_results_*.pkl")

    leaderboard_table_files = glob.glob("leaderboard_table_*.csv")
    # leaderboard_table_files.sort(key=lambda x: int(x[18:-4]))
    # leaderboard_table_file = leaderboard_table_files[-1]

    demo = build_demo()
    demo.launch(share=True)