# -*- coding: utf-8 -*-
from pymongo import MongoClient
import pandas as pd
import requests
import json
import urllib.parse
import gradio as gr
import datetime
import os

client = MongoClient(os.getenv('MONGO_DB_URI'))
db = client["HYPER_balances"]
collection = db["balance_data"]

def load_from_mongo():
    latest = collection.find_one(sort=[("timestamp", -1)])
    if latest:
        df0 = pd.DataFrame(latest["df0"]).T
        df1 = pd.DataFrame(latest["df1"]).T
        df2 = pd.DataFrame(latest["df2"]).T
        df3 = pd.DataFrame(latest["df3"]).T
        df4 = pd.DataFrame(latest["df4"]).T

        return (
            df0, latest["total0"],
            df1, latest["total1"],
            df2, latest["total2"],
            df3, latest["total3"],
            df4, latest["total4"],
            f"PNL : {latest['pnl']:,.2f}",
            f"LP Rewards : {latest['rewards']:,.2f}"
        )
    else:
        empty_df = pd.DataFrame()
        return empty_df, 0, empty_df, 0, empty_df, 0, empty_df, 0, empty_df, 0,"PNL : 0.00","LP Rewards : 0.00"

if __name__ == "__main__":
    with gr.Blocks() as demo:
        gr.Markdown("## HYPER Balances and PnL")

        df0_out = gr.Dataframe(label="Starting Balances")
        txt0_out = gr.Textbox(label="Starting Value Total")

        df2_out = gr.Dataframe(label="Wallet Balances")
        txt2_out = gr.Textbox(label="Wallet Value Total")

        df3_out = gr.Dataframe(label="JUP Limit Balances")
        txt3_out = gr.Textbox(label="JUP Limit Value Total")

        df4_out = gr.Dataframe(label="LP Balances")
        txt4_out = gr.Textbox(label="LP Balances Value Total")

        reward_out = gr.Textbox(label="LP Rewards")

        df1_out = gr.Dataframe(label="Total Balances")
        txt1_out = gr.Textbox(label="Current Value Total")

        pnl_out = gr.Textbox(label="PNL (AUM Model)")

        # Load from MongoDB on app load (sync function)
        demo.load(
            fn=load_from_mongo,
            inputs=[],
            outputs=[
                df0_out, txt0_out,
                df1_out, txt1_out,
                df2_out, txt2_out,
                df3_out, txt3_out,
                df4_out, txt4_out,
                pnl_out,reward_out
            ]
        )

    demo.launch(debug=True, share=True)