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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
from communex.misc import get_map_modules
from typing import Any, cast
import aiohttp
import time

FONT = """<link href="https://fonts.googleapis.com/css2?family=Roboto+Mono&display=swap" rel="stylesheet">"""
HEADER = """
<h2 align="center" class="typewriter">Welcome to the Yama - CommuneAI Resume Subnet Leaderboard!</h2>
"""
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 = 18
node_url = "wss://commune-api-node-2.communeai.net"

def get_validator_uids(client, netuid):
    modules = cast(dict[str, Any], get_map_modules(client, netuid=netuid))
    modules = [value for _, value in modules.items()]
    validator_uids = []
    for module in modules:
        if not (module["incentive"] == module["dividends"] == 0 or module["incentive"] > module["dividends"]):
            validator_uids.append(int(module['uid']))
    return validator_uids

async def get_com_price(session: aiohttp.ClientSession) -> float:
    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}")
        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)

    print("Query result:", result)

    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())
    validator_uids = get_validator_uids(client, netuid)
    for uid in range(highest_uid + 1):
        if uid in validator_uids:
            continue
        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]
    print("Emission dict:", emission_dict)
    print("Name dict:", name_dict)
    return emission_dict, name_dict

async def get_leaderboard_data():
    async with aiohttp.ClientSession() as session:
        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}"))
        print("Leaderboard data:", leaderboard_data)
        return leaderboard_data

async def update_leaderboard_table():
    start_time = time.time()
    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]} ๐Ÿ†"
    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
    print(f"Updated leaderboard in {time.time() - start_time:.2f} seconds")
    return leaderboard_data, f'''
    <div style="display: flex; justify-content: space-between; align-items: center; font-size: 16px; font-weight: bold;">
        <div>๐™๐™ค๐™ฉ๐™–๐™ก $ ๐™ˆ๐™ž๐™ฃ๐™ž๐™ฃ๐™œ ๐™๐™š๐™ฌ๐™–๐™ง๐™™๐™จ ๐™‹๐™š๐™ง ๐™’๐™š๐™š๐™ : ${rewards_per_week:,.0f}</div>
        <div>๐™๐™ค๐™ฉ๐™–๐™ก $ ๐™ˆ๐™ž๐™ฃ๐™ž๐™ฃ๐™œ ๐™๐™š๐™ฌ๐™–๐™ง๐™™๐™จ ๐™‹๐™š๐™ง ๐˜ฟ๐™–๐™ฎ: ${total_usd_value:,.0f}</div>
        <div>๐™๐™ค๐™ฉ๐™–๐™ก $ ๐™ˆ๐™ž๐™ฃ๐™ž๐™ฃ๐™œ ๐™๐™š๐™ฌ๐™–๐™ง๐™™๐™จ ๐™‹๐™š๐™ง ๐™ˆ๐™ค๐™ฃ๐™ฉ๐™: ${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()

custom_css = """
#custom-image {
    display: block;
    margin-left: auto;
    margin-right: auto;
    width: 50%;
}
"""

with gr.Blocks(theme=seafoam, analytics_enabled=True, css=custom_css) as demo:
    gr.HTML(FONT)
    gr.Image("cXn.png", elem_id="custom-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>๐™๐™ค๐™ฉ๐™–๐™ก $ ๐™ˆ๐™ž๐™ฃ๐™ž๐™ฃ๐™œ ๐™๐™š๐™ฌ๐™–๐™ง๐™™๐™จ ๐™‹๐™š๐™ง ๐™’๐™š๐™š๐™ : $0.00</div>
                <div>๐™๐™ค๐™ฉ๐™–๐™ก $ ๐™ˆ๐™ž๐™ฃ๐™ž๐™ฃ๐™œ ๐™๐™š๐™ฌ๐™–๐™ง๐™™๐™จ ๐™‹๐™š๐™ง ๐˜ฟ๐™–๐™ฎ: $0.00</div>
                <div>๐™๐™ค๐™ฉ๐™–๐™ก $ ๐™ˆ๐™ž๐™ฃ๐™ž๐™ฃ๐™œ ๐™๐™š๐™ฌ๐™–๐™ง๐™™๐™จ ๐™‹๐™š๐™ง ๐™ˆ๐™ค๐™ฃ๐™ฉ๐™: $0.00</div>
            </div>
        '''
    )
    leaderboard_table = gr.Dataframe(
        headers=["Rank ๐Ÿ†", "UID", "Name", "Rewards / Day", "$USD Value"],
        datatype=["str", "str", "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()