drop column name

api/MachineLearning/data.py

@@ -78,7 +78,11 @@ def __clean(self) -> None:
             - fill na with 0
             - create a dataframe with only low level players (total level < 1_000_000)
         """
-        self.df_clean.drop(columns=["id", "timestamp", "ts_date"], inplace=True)
+        col_to_drop = ["id", "timestamp", "ts_date", "name"]
+        col_to_drop = [c for c in self.df_clean.columns if c in col_to_drop]
+        logger.info(f"dropping: {col_to_drop}")
+        self.df_clean.drop(columns=col_to_drop, inplace=True)
+
         # set index to player id
         self.df_clean.set_index(["Player_id"], inplace=True)
 

api/cogs/requests.py

@@ -13,7 +13,7 @@ async def make_request(url: str, params: dict, headers: dict = {}) -> list[dict]
     _secure_params["token"] = "***"
 
     # Log the URL and secure parameters for debugging
-    logger.info({"url": url, "params": _secure_params})
+    logger.info({"url": url.split("/v")[-1], "params": _secure_params})
 
     # Use aiohttp to make an asynchronous GET request
     async with aiohttp.ClientSession() as session: