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import gradio as gr | |
import requests | |
import asyncio | |
from typing import Any, Iterable | |
from gradio.themes.base import Base | |
from gradio.themes.utils import colors, fonts, sizes | |
from gradio.themes.utils.colors import Color | |
from communex.client import CommuneClient | |
import aiohttp | |
FONT = """<link href="https://fonts.googleapis.com/css2?family=Roboto+Mono&display=swap" rel="stylesheet">""" | |
IMAGE = """<p align="center" style="font-size: 72px;">๐๐๐๐๐ ๐๐</p>""" | |
HEADER = """ | |
<h2 align="center" class="typewriter">Welcome to the Synthia Commune Leaderboard!</h2> | |
<p align="center">This leaderboard showcases the top-performing miners in the Synthia Commune Subnet. The models are ranked based on their daily rewards.</p> | |
<p align="center">The Synthia subnet leverages Commune's incentives to create a permissionless mining market around distilling knowledge out of SOTA closed-source model APIs into a public dataset to accelerate the OpenSource AI space. Targeted models and strategy will adapt based on the current SOTA.</p> | |
""" | |
EVALUATION_HEADER = """<h3 align="center">Evaluation Details</h3>""" | |
EVALUATION_DETAILS = """<p align="center"><b>Name</b> represents the model name. <b>Rewards / Day</b> indicates the expected daily rewards for each model in <b>$COMAI</b>. <b>UID</b> is the unique identifier of the miner. <b>$USD Value</b> is the estimated dollar value of the daily rewards.</p>""" | |
netuid = 3 | |
node_url = "wss://commune-api-node-2.communeai.net" | |
async def get_com_price(session: aiohttp.ClientSession) -> Any: | |
retries = 5 | |
for i in range(retries): | |
try: | |
async with session.get("https://api.mexc.com/api/v3/avgPrice?symbol=COMAIUSDT") as response: | |
response.raise_for_status() | |
price = float((await response.json())["price"]) | |
print(f"Fetched COM price: {price}") | |
return price | |
except Exception as e: | |
print(f"Error fetching COM price: {e}") | |
await asyncio.sleep(retries) | |
raise RuntimeError("Failed to fetch COM price") | |
async def make_query(client: CommuneClient) -> tuple[dict[int, int], dict[int, str]]: | |
request_dict = { | |
"SubspaceModule": [ | |
("Name", [netuid]), | |
("Emission", []), | |
("Incentive", []), | |
("Dividends", []), | |
], | |
} | |
emission_dict = {} | |
name_dict = {} | |
result = client.query_batch_map(request_dict) | |
emission = result["Emission"] | |
netuid_emission = emission[netuid] | |
incentive = result["Incentive"] | |
netuid_incentive = incentive[netuid] | |
dividends = result["Dividends"] | |
netuid_dividends = dividends[netuid] | |
names = result["Name"] | |
highest_uid = max(names.keys()) | |
for uid in range(highest_uid + 1): | |
emission = netuid_emission[uid] | |
if emission != 0: | |
incentive = netuid_incentive[uid] | |
dividends = netuid_dividends[uid] | |
if incentive > 0: | |
emission_dict[uid] = netuid_emission[uid] | |
name_dict[uid] = names[uid] | |
return emission_dict, name_dict | |
async def get_leaderboard_data(): | |
async with aiohttp.ClientSession() as session: | |
try: | |
com_price = await get_com_price(session) | |
blocks_in_day = 10_800 | |
client = CommuneClient(node_url) | |
emission_dict, name_dict = await make_query(client) | |
print("got the emission") | |
scores = {} | |
for uid, emi in emission_dict.items(): | |
scores[uid] = (emi / 10**11) * blocks_in_day | |
sorted_scores = sorted(scores.items(), key=lambda x: x[1], reverse=True) | |
leaderboard_data = [] | |
for rank, (uid, score) in enumerate(sorted_scores, start=1): | |
name = name_dict[uid] | |
units = score | |
usd_value = score * com_price | |
leaderboard_data.append((rank, uid, name, units, f"${usd_value:.2f}")) | |
return leaderboard_data | |
except Exception as e: | |
print(f"Error fetching leaderboard data: {e}") | |
return [] | |
async def update_leaderboard_table(): | |
leaderboard_data = await get_leaderboard_data() | |
leaderboard_data = [list(row) for row in leaderboard_data] | |
for row in leaderboard_data: | |
row[0] = f"{row[0]} ๐" | |
total_usd_value = sum(float(row[4][1:]) for row in leaderboard_data) | |
rewards_per_week = total_usd_value * 7 | |
rewards_per_month = total_usd_value * 30 | |
return leaderboard_data, f''' | |
<div style="display: flex; justify-content: space-between; align-items: center; font-size: 16px; font-weight: bold;"> | |
<div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐๐๐๐ : ${rewards_per_week:,.0f}</div> | |
<div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐ฟ๐๐ฎ: ${total_usd_value:,.0f}</div> | |
<div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐๐ค๐ฃ๐ฉ๐: ${rewards_per_month:,.0f}</div> | |
</div> | |
''' | |
stone_gray = Color( | |
name="stone_gray", | |
c50="#f5f5f5", | |
c100="#e9e9e9", | |
c200="#d9d9d9", | |
c300="#c4c4c4", | |
c400="#a6a6a6", | |
c500="#8f8f8f", | |
c600="#737373", | |
c700="#595959", | |
c800="#464646", | |
c900="#262626", | |
c950="#1a1a1a", | |
) | |
class Seafoam(Base): | |
def __init__( | |
self, | |
primary_hue: colors.Color | str = stone_gray, | |
secondary_hue: colors.Color | str = stone_gray, | |
neutral_hue: colors.Color | str = stone_gray, | |
spacing_size: sizes.Size | str = sizes.spacing_md, | |
radius_size: sizes.Size | str = sizes.radius_md, | |
text_size: sizes.Size | str = sizes.text_lg, | |
font: fonts.Font | str | Iterable[fonts.Font | str] = ( | |
fonts.GoogleFont("Quicksand"), | |
"ui-sans-serif", | |
"sans-serif", | |
), | |
font_mono: fonts.Font | str | Iterable[fonts.Font | str] = ( | |
fonts.GoogleFont("IBM Plex Mono"), | |
"ui-monospace", | |
"monospace", | |
), | |
): | |
super().__init__( | |
primary_hue=primary_hue, | |
secondary_hue=secondary_hue, | |
neutral_hue=neutral_hue, | |
spacing_size=spacing_size, | |
radius_size=radius_size, | |
text_size=text_size, | |
font=font, | |
font_mono=font_mono, | |
) | |
super().set( | |
block_title_text_weight="600", | |
block_border_width="3px", | |
block_shadow="*shadow_drop_lg", | |
button_shadow="*shadow_drop_lg", | |
button_large_padding="32px", | |
button_primary_background_fill_hover="*button_primary_background_fill", | |
button_primary_background_fill="#333333", | |
button_primary_text_color="#ffffff", | |
) | |
seafoam = Seafoam() | |
with gr.Blocks(theme=seafoam, analytics_enabled=True) as demo: | |
gr.HTML(FONT) | |
gr.HTML(IMAGE) | |
gr.HTML(HEADER) | |
gr.HTML(EVALUATION_HEADER) | |
gr.HTML(EVALUATION_DETAILS) | |
total_usd_value_html = gr.HTML( | |
elem_id="total-usd-value", | |
value=''' | |
<div style="display: flex; justify-content: space-between; align-items: center; font-size: 16px; font-weight: bold;"> | |
<div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐๐๐๐ : $0.00</div> | |
<div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐ฟ๐๐ฎ: $0.00</div> | |
<div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐๐ค๐ฃ๐ฉ๐: $0.00</div> | |
</div> | |
''' | |
) | |
leaderboard_table = gr.components.Dataframe( | |
headers=["Rank ๐", "UID", "Name", "Rewards / Day", "$USD Value"], | |
datatype=["str", "str", "str"], | |
interactive=False, | |
visible=True, | |
elem_id="leaderboard-table", | |
) | |
refresh_button = gr.Button("Refresh Leaderboard") | |
refresh_button.click(fn=update_leaderboard_table, outputs=[ | |
leaderboard_table, total_usd_value_html]) | |
demo.load(update_leaderboard_table, inputs=None, outputs=[ | |
leaderboard_table, total_usd_value_html]) | |
if __name__ == "__main__": | |
demo.launch() | |