app.py

import gradio as gr
import requests
import time
from typing import Any
from communex.client import CommuneClient
from communex.balance import from_nano
import json

netuid = 0
node_url = "wss://commune.api.onfinality.io/public-ws"

def get_com_price() -> Any:
    retries = 5
    for i in range(0, retries):
        try:
            return float(requests.get("https://api.mexc.com/api/v3/avgPrice?symbol=COMAIUSDT").json()["price"])
        except Exception as e:
            print(e)
            if i == retries - 1:
                raise
            time.sleep(retries)
    raise RuntimeError()

def get_score():
    com_price = get_com_price()
    blocks_in_day = 10_800
    client = CommuneClient(node_url)
    emission = client.query("Emission", params=[netuid])
    distribution_dict: dict[int, float] = {}
    for uid, emi in enumerate(emission):
        distribution_dict[uid] = ((emi / 10**11) * blocks_in_day) * com_price
    return distribution_dict

def load_leaderboard():
    with open("leaderboard.json", "r") as f:
        leaderboard_data = json.load(f)
    return leaderboard_data

def save_leaderboard():
    scores = get_score()
    sorted_scores = sorted(scores.items(), key=lambda x: x[1], reverse=True)
    leaderboard_data = []
    for rank, (uid, score) in enumerate(sorted_scores, start=1):
        leaderboard_data.append({"rank": rank, "uid": uid, "score": score})
    with open("leaderboard.json", "w") as f:
        json.dump(leaderboard_data, f)

with gr.Blocks() as demo:
    gr.Markdown("# Commune Leaderboard")
    
    leaderboard_data = load_leaderboard()
    
    leaderboard_table = gr.components.DataFrame(
        value=leaderboard_data,
        headers=["rank", "uid", "score"],
        datatype=["number", "number", "number"],
        interactive=False,
        visible=True
    )
    
    refresh_button = gr.Button("Refresh Leaderboard")
    
    def refresh_leaderboard():
        save_leaderboard()
        updated_data = load_leaderboard()
        return gr.components.DataFrame.update(value=updated_data)
    
    refresh_button.click(fn=refresh_leaderboard, outputs=leaderboard_table)

if __name__ == "__main__":
    demo.launch()