Update app.py

app.py

@@ -11,6 +11,7 @@ import time
 from dotenv import load_dotenv
 from huggingface_hub import HfApi
 from apscheduler.schedulers.background import BackgroundScheduler
+from tqdm import tqdm
 
 load_dotenv()
 
@@ -81,7 +82,8 @@ def get_tao_price() -> float:
 
 def get_validator_weights(metagraph: bt.metagraph) -> typing.Dict[int, typing.Tuple[float, int, typing.Dict[int, float]]]:
     ret = {}
-    for uid in metagraph.uids.tolist():
+    uid_list = metagraph.uids.tolist()
+    for uid in tqdm(uid_list, desc="get_validator_weights"):
         vtrust = metagraph.validator_trust[uid].item()
         if vtrust > 0:
             ret[uid] = (vtrust, metagraph.S[uid].item(), {})
@@ -95,7 +97,8 @@ def get_validator_weights(metagraph: bt.metagraph) -> typing.Dict[int, typing.Tu
 
 def get_subnet_data(subtensor: bt.subtensor, metagraph: bt.metagraph) -> typing.List[ModelData]:
     result = []
-    for uid in metagraph.uids.tolist():
+    uid_list = metagraph.uids.tolist()
+    for uid in tqdm(uid_list, desc="get_subnet_data"):
         hotkey = metagraph.hotkeys[uid]
         metadata = get_metadata(subtensor, metagraph.netuid, hotkey)
         if not metadata:
@@ -117,21 +120,6 @@ def get_subnet_data(subtensor: bt.subtensor, metagraph: bt.metagraph) -> typing.
         result.append(model_data)
     return result
 
-def floatable(x) -> bool:
-    return (isinstance(x, float) and not math.isnan(x) and not math.isinf(x)) or isinstance(x, int)
-
-def get_float_score(key: str, history) -> typing.Tuple[typing.Optional[float], bool]:
-    if key in history:
-        data = list(history[key])
-        if len(data) > 0:
-            if floatable(data[-1]):
-                return float(data[-1]), True
-            else:
-                data = [float(x) for x in data if floatable(x)]
-                if len(data) > 0:
-                    return float(data[-1]), False
-    return None, False
-
 def get_sample(uid, history) -> typing.Optional[typing.Tuple[str, str]]:
     prompt_key = f"sample_prompt_data.{uid}"
     response_key = f"sample_response_data.{uid}"