v2.15.3

Manually Resync Metagraph

.env.api.example

@@ -2,4 +2,4 @@ API_PORT = "42170" # Port for the API server
 API_HOST = "0.0.0.0" # Host for the API server
 SCORING_KEY = "123" # The scoring key for the validator (must match the scoring key in the .env.validator file)
 SCORE_ORGANICS = True # Whether to score organics
-VALIDATOR_API = "0.0.0.0:8094" # The validator API to forward responses to for scoring
+VALIDATOR_API = "0.0.0.0:8094" # The validator API to forward responses to for scoring

api_keys.json

@@ -1 +1 @@
-{}
+{}

prompting/weight_setting/weight_setter.py

@@ -122,15 +122,15 @@ def set_weights(
         netuid=shared_settings.NETUID,
         uids=uint_uids,
         weights=uint_weights,
-        wait_for_finalization=False,
-        wait_for_inclusion=False,
+        wait_for_finalization=True,
+        wait_for_inclusion=True,
         version_key=__spec_version__,
     )
 
-    if result is True:
+    if result[0] is True:
         logger.info("set_weights on chain successfully!")
     else:
-        logger.error("set_weights failed")
+        logger.error(f"set_weights failed: {result}")
 
 
 class WeightSetter(AsyncLoopRunner):
@@ -148,8 +148,6 @@ class Config:
 
     async def start(self, reward_events):
         self.reward_events = reward_events
-        self.subtensor = bt.Subtensor(network=shared_settings.SUBTENSOR_NETWORK)
-        self.metagraph = self.subtensor.metagraph(netuid=shared_settings.NETUID)
         global PAST_WEIGHTS
 
         try:
@@ -239,8 +237,11 @@ async def run_step(self):
         except Exception as ex:
             logger.exception(f"{ex}")
         # set weights on chain
-        set_weights(final_rewards, step=self.step, subtensor=self.subtensor, metagraph=self.metagraph)
+        set_weights(
+            final_rewards, step=self.step, subtensor=shared_settings.SUBTENSOR, metagraph=shared_settings.METAGRAPH
+        )
         self.reward_events = []  # empty reward events queue
+        shared_settings.refresh_metagraph()
         await asyncio.sleep(0.01)
         return final_rewards
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "prompting"
-version = "2.15.2"
+version = "2.15.3"
 description = "Subnetwork 1 runs on Bittensor and is maintained by Macrocosmos. It's an effort to create decentralised AI"
 authors = ["Kalei Brady, Dmytro Bobrenko, Felix Quinque, Steffen Cruz, Richard Wardle"]
 readme = "README.md"

shared/settings.py

@@ -248,6 +248,12 @@ def METAGRAPH(self) -> bt.metagraph:
         logger.info(f"Instantiating metagraph with NETUID: {self.NETUID}")
         return self.SUBTENSOR.metagraph(netuid=self.NETUID)
 
+    def refresh_metagraph(self) -> bt.metagraph:
+        # Drop the cached property so it will be recomputed
+        if "METAGRAPH" in self.__dict__:
+            del self.__dict__["METAGRAPH"]
+        return self.METAGRAPH
+
     @cached_property
     def DENDRITE(self) -> bt.dendrite:
         logger.info(f"Instantiating dendrite with wallet: {self.WALLET}")