Fixed some bugs in events and trending coins

src/cogs/loops/events.py

@@ -134,10 +134,13 @@ async def post_events(self):
         """
 
         # Send this message every friday at 23:00 UTC
-        if datetime.datetime.today().weekday() != 4:
-            if datetime.datetime.utcnow().hour != 23:
+        if datetime.datetime.today().weekday() == 4:
+            if datetime.datetime.utcnow().hour == 23:
                 df = await self.get_events()
 
+                # If time == "All Day" convert it to 00:00
+                df["time"] = df["time"].str.replace("All Day", "00:00")
+
                 # Create datetime
                 df["datetime"] = pd.to_datetime(
                     df["date"] + " " + df["time"],

src/cogs/loops/listings.py

@@ -11,7 +11,7 @@
 from util.disc_util import get_channel
 
 
-class Exchange_Listings:
+class Exchange_Listings(commands.Cog):
     """
     This class contains the cog for posting the new Binance listings
     It can be enabled / disabled in the config under ["LOOPS"]["NEW_LISTINGS"].
@@ -30,7 +30,6 @@ def __init__(self, bot: commands.Bot) -> None:
         )
 
         asyncio.create_task(self.set_old_symbols())
-        self.new_listings.start()
 
     async def get_symbols(self, exchange: str) -> list:
         """
@@ -122,6 +121,9 @@ async def set_old_symbols(self) -> None:
         for exchange in self.exchanges:
             self.old_symbols[exchange] = await self.get_symbols(exchange)
 
+        # Start after setting all the symbols
+        self.new_listings.start()
+
     @loop(hours=6)
     async def new_listings(self) -> None:
         """

src/util/cg_data.py

@@ -253,6 +253,9 @@ async def get_trending_coins() -> pd.DataFrame:
         # Add website to Symbol using format: [Symbol](Website)
         df["Symbol"] = "[" + df["Symbol"] + "](" + df["Website"] + ")"
 
+        # Replace NaN values in '24h Volume' with values from 'Mkt Cap'
+        df["24h Volume"] = df["24h Volume"].fillna(df["Mkt Cap"])
+
         # Fix volume if it contains a %
         df.loc[df["24h Volume"].str.contains("%"), "24h Volume"] = df["Mkt Cap"]