Spaces:
Runtime error
Runtime error
File size: 2,335 Bytes
714cdab 0587701 714cdab fd8c150 714cdab fd8c150 714cdab fd8c150 714cdab 0587701 fd8c150 714cdab 0587701 714cdab 0587701 714cdab |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
import gradio as gr
import requests
import time
from typing import Any
from communex.client import CommuneClient
from communex.balance import from_nano
netuid = 1
node_url = "wss://commune.api.onfinality.io/public-ws"
def get_com_price() -> Any:
retries = 5
for i in range(0, retries):
try:
price = float(requests.get("https://api.mexc.com/api/v3/avgPrice?symbol=COMAIUSDT").json()["price"])
print(f"Fetched COM price: {price}")
return price
except Exception as e:
print(f"Error fetching COM price: {e}")
if i == retries - 1:
raise
time.sleep(retries)
raise RuntimeError("Failed to fetch COM price")
def get_leaderboard_data():
try:
com_price = get_com_price()
blocks_in_day = 10_800
client = CommuneClient(node_url)
#emission = client.query("Emission", params=[netuid])
emission = [99999999, 99999, 99999999999999999, 11122]
scores = {}
for uid, emi in enumerate(emission):
scores[uid] = ((emi / 10**11) * blocks_in_day) * com_price
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})
print(f"Leaderboard data: {leaderboard_data}")
return leaderboard_data
except Exception as e:
print(f"Error fetching leaderboard data: {e}")
return []
with gr.Blocks() as demo:
gr.Markdown("# Commune Leaderboard")
leaderboard_table = gr.components.DataFrame(
headers=["rank", "uid", "score"],
datatype=["number", "number", "number"],
interactive=False,
visible=True
)
refresh_button = gr.Button("Refresh Leaderboard")
def refresh_leaderboard():
leaderboard_data = get_leaderboard_data()
return gr.components.DataFrame.update(value=leaderboard_data)
refresh_button.click(fn=refresh_leaderboard, outputs=leaderboard_table)
# Initial load of leaderboard data
leaderboard_data = get_leaderboard_data()
leaderboard_table.value = leaderboard_data
if __name__ == "__main__":
demo.launch() |