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| # -*- 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) |