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| import bittensor as bt | |
| from substrateinterface import Keypair | |
| import gradio as gr | |
| import pandas as pd | |
| def get_incentive_percent_for_key(key, sn, incentive, substrate) -> tuple[float, int]: | |
| uid = substrate.query('SubtensorModule', 'Uids', [sn, key]) | |
| if uid and uid.value is not None: | |
| owner_incentive = int(incentive[uid.value]) | |
| if owner_incentive > 0: | |
| return (owner_incentive / 65535) * 100, uid.value | |
| return -1, -1 | |
| def fetch_incentive_data() -> pd.DataFrame: | |
| print("Starting data fetch...") | |
| data = [] | |
| subtensor = bt.subtensor(network="finney") | |
| substrate = subtensor.substrate | |
| for sn in range(128): | |
| incentive = substrate.query("SubtensorModule", "Incentive", [sn]) | |
| owner_ck = substrate.query('SubtensorModule', 'SubnetOwner', [sn]) | |
| assert incentive, "WTF" | |
| assert owner_ck, "WTF" | |
| sn_link = f"[{sn}](https://taostats.io/subnets/{sn})" | |
| ck_incentive, ck_uid = get_incentive_percent_for_key(owner_ck, sn, incentive, substrate) | |
| if ck_incentive > 0: | |
| print(f"Found incentive for SN {sn} owner coldkey.") | |
| address_link = f"[{owner_ck}](https://taostats.io/coldkey/{owner_ck})" | |
| data.append([sn_link, f"{ck_incentive:.2f}%", ck_uid, "Coldkey", address_link]) | |
| continue | |
| owner_hks = substrate.query("SubtensorModule", "OwnedHotkeys", [owner_ck]) | |
| if owner_hks and owner_hks.value: | |
| for byte_array in owner_hks.value: | |
| owner_hk = Keypair(public_key=bytes(byte_array[0]), ss58_format=42).ss58_address | |
| hk_incentive, hk_uid = get_incentive_percent_for_key(owner_hk, sn, incentive, substrate) | |
| if hk_incentive > 0: | |
| print(f"Found incentive for SN {sn} owner hotkey.") | |
| address_link = f"[{owner_hk}](https://taostats.io/hotkey/{owner_hk})" | |
| data.append([sn_link, f"{hk_incentive:.2f}%", hk_uid, "Hotkey", address_link]) | |
| break | |
| df = pd.DataFrame(data, columns=["Subnet", "Incentive", "UID", "Key Type", "Address"]) #type: ignore | |
| return df | |
| with gr.Blocks(title="Bittensor Subnet Incentives") as demo: | |
| gr.Markdown( | |
| """ | |
| # Bittensor Subnet Burn Dashboard | |
| This dashboard displays the burn percentage set by subnet owners for miners. | |
| Click the 'Refresh' button to fetch the latest data. | |
| """ | |
| ) | |
| refresh_button = gr.Button("Refresh Data") | |
| output_df = gr.DataFrame( | |
| headers=["Subnet", "Burn", "UID", "Key", "Address"], | |
| datatype=["markdown", "str", "number", "str", "markdown"], | |
| label="Subnet Incentive Data", | |
| interactive=False, | |
| row_count=(60, "dynamic"), | |
| col_count=(5, "fixed") | |
| ) | |
| demo.load(fetch_incentive_data, None, output_df) | |
| demo.launch() | |