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| import bittensor as bt | |
| from substrateinterface import Keypair | |
| import gradio as gr | |
| import pandas as pd | |
| import time | |
| # uga-buga caching | |
| g_cached_data: pd.DataFrame | None = None | |
| g_last_fetch_time = 0.0 | |
| def fetch_incentive_data() -> pd.DataFrame: | |
| data = [] | |
| subtensor = bt.subtensor(network="finney") | |
| print("connected to subtensor") | |
| subnets = subtensor.all_subnets() | |
| print("fetched all subnets") | |
| metagraphs = subtensor.get_all_metagraphs_info() | |
| print("fetched all metagraphs") | |
| assert subnets, "WTF" | |
| assert metagraphs, "WTF" | |
| for sn in range(1, 129): | |
| subnet = subnets[sn] | |
| metagraph = metagraphs[sn] | |
| address_to_uid = {hk: i for i, hk in enumerate(metagraph.hotkeys)} | |
| # The incentives that are assigned to the owner hotkey are being burned/not given out | |
| # Maciej Kula [Bo𝞃, Bo𝞃] | |
| addresses = [("hotkey", subnet.owner_hotkey)] # So don't include coldkey. | |
| for key_type, address in addresses: | |
| uid = address_to_uid.get(address, None) | |
| if uid is None: | |
| continue | |
| incentive = metagraph.incentives[uid] | |
| if incentive <= 0: | |
| continue | |
| data.append([ | |
| f"[netuid: {sn} / {subnet.subnet_name}](https://taostats.io/subnets/{sn})", | |
| incentive*100, | |
| uid, | |
| f"[{address}](https://taostats.io/{key_type}/{address})" | |
| ]) | |
| break | |
| data = [(i+1, *d) for i, d in enumerate(data)] | |
| df = pd.DataFrame(data, columns=["#", "Subnet", "Burn (%)", "UID", "Address"]) # type: ignore | |
| print(f"{len(data)} subnets burn") | |
| return df | |
| def get_cached_data() -> tuple[str, pd.DataFrame]: | |
| global g_cached_data, g_last_fetch_time | |
| if g_cached_data is None or (time.time() - g_last_fetch_time) > 1200: # 20 min | |
| g_last_fetch_time = time.time() | |
| g_cached_data = fetch_incentive_data() | |
| time_str = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(g_last_fetch_time + 1200)) | |
| return time_str, g_cached_data | |
| with gr.Blocks(title="Bittensor Subnet Incentives") as demo: | |
| gr.Markdown( | |
| """ | |
| # Burntensor | |
| ### This dashboard displays the burn percentage set by subnet owners for miners. Fetching data takes ~1min. | |
| """ | |
| ) | |
| next_process_text = gr.Textbox(label="Next refresh time", interactive=False) | |
| gr.Image("/assets/burn.gif") | |
| output_df = gr.DataFrame( | |
| datatype=["number", "markdown", "number", "number", "markdown"], | |
| label="Subnet Burn Data", | |
| interactive=False, | |
| max_height=1000000 | |
| ) | |
| demo.load(get_cached_data, None, [next_process_text, output_df]) | |
| demo.launch() | |