Add more retries for metadata and add last updated time stamp.

app.py

@@ -1,3 +1,5 @@
+import functools
+import traceback
 import gradio as gr
 import bittensor as bt
 from typing import Dict, List, Any, Optional, Tuple
@@ -77,7 +79,7 @@ def run_with_retries(func, *args, **kwargs):
     for i in range(0, RETRIES):
         try:
             return func(*args, **kwargs)
-        except:
+        except (Exception, RuntimeError):
             if i == RETRIES - 1:
                 raise
             time.sleep(DELAY_SECS)
@@ -93,16 +95,6 @@ def get_subtensor_and_metagraph() -> Tuple[bt.subtensor, bt.metagraph]:
     return run_with_retries(_internal)
 
 
-def get_tao_price() -> float:
-    return run_with_retries(
-        lambda: float(
-            requests.get(
-                "https://api.kucoin.com/api/v1/market/stats?symbol=TAO-USDT"
-            ).json()["data"]["last"]
-        )
-    )
-
-
 def get_validator_weights(
     metagraph: bt.metagraph,
 ) -> Dict[int, Tuple[float, int, Dict[int, float]]]:
@@ -127,7 +119,12 @@ def get_subnet_data(
     result = []
     for uid in metagraph.uids.tolist():
         hotkey = metagraph.hotkeys[uid]
-        metadata = get_metadata(subtensor, metagraph.netuid, hotkey)
+        metadata = None
+        try:
+            metadata = run_with_retries(functools.partial(get_metadata(subtensor, metagraph.netuid, hotkey)))
+        except:
+            print(f"Failed to get metadata for UID {uid}: {traceback.format_exc()}")
+        
         if not metadata:
             continue
 
@@ -228,6 +225,8 @@ def get_next_update_div(current_block: int, next_update_block: int) -> str:
     delta = next_update_time - now
     return f"""<div align="center" style="font-size: larger;">Next reward update: <b>{blocks_to_go}</b> blocks (~{int(delta.total_seconds() // 60)} minutes)</div>"""
 
+def get_last_updated_div() -> str:
+    return f"""<div>Last Updated: f{datetime.datetime.utc().strftime("%Y-%m-%d %H:%M:%S")} (UTC)</div>"""
 
 def leaderboard_data(
     leaderboard: List[ModelData],
@@ -255,8 +254,6 @@ def restart_space():
 def main():
     subtensor, metagraph = get_subtensor_and_metagraph()
 
-    tao_price = get_tao_price()
-
     model_data: List[ModelData] = get_subnet_data(subtensor, metagraph)
     model_data.sort(key=lambda x: x.incentive, reverse=True)
 
@@ -326,11 +323,13 @@ def main():
                 interactive=False,
                 visible=True,
             )
+        gr.HTML(value=get_last_updated_div())
+
 
 
     scheduler = BackgroundScheduler()
     scheduler.add_job(
-        restart_space, "interval", seconds=60 * 15
+        restart_space, "interval", seconds=60 * 30
     )  # restart every 15 minutes
     scheduler.start()
 

requirements.txt

@@ -1,4 +1,4 @@
-bittensor==6.7.0
+bittensor==6.7.1
 requests==2.31.0
 wandb==0.16.2
 python-dotenv==1.0.1