import json
import os
from datetime import datetime, timezone


import gradio as gr
import numpy as np
import pandas as pd
from apscheduler.schedulers.background import BackgroundScheduler
from huggingface_hub import HfApi
from transformers import AutoConfig

from src.auto_leaderboard.get_model_metadata import apply_metadata
from src.assets.text_content import *
from src.auto_leaderboard.load_results import get_eval_results_dicts, make_clickable_model
from src.assets.hardcoded_evals import gpt4_values, gpt35_values, baseline
from src.assets.css_html_js import custom_css, get_window_url_params
from src.utils_display import AutoEvalColumn, EvalQueueColumn, fields, styled_error, styled_warning, styled_message
from src.init import get_all_requested_models, load_all_info_from_hub



def get_leaderboard_df():
    
    data = {
        'Datasets': ['metrics','SOTA(FT)', 'SOTA(ZS)', 'FLAN-T5', 'GPT-3', 'GPT-3.5v2', 'GPT-3.5v3', 'ChatGPT', 'GPT-4'],
        'KQApro': ['Acc','93.85', '94.20', '37.27', '38.28', '38.01', '40.35', '47.93', '57.20'],
        'LC-quad2': ['F1','33.10', '-', '30.14', '33.04', '33.77', '39.04', '42.76', '54.95'],
        'WQSP': ['Acc','73.10', '62.98', '59.87', '67.68', '72.34', '79.60', '83.70', '90.45'],
        'CWQ': ['Acc','72.20', '-', '46.69', '51.77', '53.96', '57.54', '64.02', '71.00'],
        'GrailQA': ['Acc','76.31', '-', '29.02', '27.58', '30.50', '35.43', '46.77', '51.40'],
        'GraphQ': ['Acc','41.30', '-', '32.27', '38.32', '40.85', '47.95', '53.10', '63.20'],
        'QALD-9': ['F1','67.82', '-', '30.17', '38.54', '44.96', '46.19', '45.71', '57.20'],
        'MKQA': ['Acc','46.00', '-', '20.17', '26.97', '30.14', '39.05', '44.30', '59.20']
    }

    df = pd.DataFrame(data)
    return df


original_df = get_leaderboard_df()
leaderboard_df = original_df.copy()

def search_table(df, query):
    if query == "":
        return df
    else:
        return df[df.apply(lambda row: query.lower() in row.astype(str).lower(), axis=1).any()]


demo = gr.Blocks(css=custom_css)
with demo:
    gr.HTML(TITLE)
    gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
    with gr.Row():
        with gr.Box(elem_id="search-bar-table-box"):
            search_bar = gr.Textbox(
                placeholder="🔍 Search your model and press ENTER...",
                show_label=False,
                elem_id="search-bar",
            )

    with gr.Tabs(elem_classes="tab-buttons") as tabs:
        
        with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=1):
            leaderboard_table = gr.components.Dataframe(
                value=leaderboard_df,
                max_rows=None,
                elem_id="leaderboard-table",
            )

            # Dummy leaderboard for handling the case when the user uses backspace key
            hidden_leaderboard_table_for_search = gr.components.Dataframe(
                value=original_df,
                max_rows=None,
                visible=False,
            )
            search_bar.submit(
                search_table,
                [hidden_leaderboard_table_for_search, search_bar],
                leaderboard_table,
            )
        with gr.TabItem("About", elem_id="llm-benchmark-tab-table", id=2):
            gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")

        

    with gr.Row():
        with gr.Accordion("📙 Citation", open=False):
            citation_button = gr.Textbox(
                value=CITATION_BUTTON_TEXT,
                label=CITATION_BUTTON_LABEL,
                elem_id="citation-button",
            ).style(show_copy_button=True)



demo.queue(concurrency_count=40).launch()