Catch bugs

close #719
close #718
close #717

Author: StephanAkkerman

src/api/coingecko.py

@@ -441,8 +441,16 @@ async def get_top_categories() -> pd.DataFrame | None:
 
             # Category column (including name and link)
             if i == 1:
-                coin_data["Name"] = td.find("a").text
-                coin_data["Link"] = "https://www.coingecko.com/" + td.find("a")["href"]
+                # Defaults
+                coin_data["Name"] = "unknown"
+                coin_data["Link"] = "https://www.coingecko.com/"
+
+                name_element = td.find("a")
+                if name_element:
+                    coin_data["Name"] = name_element.text
+                    coin_data["Link"] = (
+                        "https://www.coingecko.com/" + name_element["href"]
+                    )
 
             # 24h
             if i == 4:

src/api/farside.py

@@ -3,11 +3,16 @@
 import pandas as pd
 
 from api.http_client import get_json_data
+from constants.logger import logger
 
 
 async def get_etf_inflow(coin: str = "btc") -> float:
     data = await get_json_data(f"https://farside.co.uk/{coin}/", text=True)
-    df = pd.read_html(StringIO(data))[1]
+    try:
+        df = pd.read_html(StringIO(data))[1]
+    except ValueError:
+        logger.error(f"Failed to parse ETF inflow data for {coin}")
+        return 0.0
 
     # Use only top row for columns
     df.columns = [col[0] for col in df.columns]

src/cogs/loops/trending.py

@@ -90,7 +90,11 @@ def tv_market_data(self, url) -> pd.DataFrame:
             return
 
         # Format the dataframe
-        df = df[columns]
+        try:
+            df = df[columns]
+        except KeyError as e:
+            logger.error(f"Failed to format TradingView market data: {e}")
+            return
 
         # Create renaming dictionary dynamically
         rename_dict = {
@@ -235,7 +239,11 @@ async def crypto_categories(self) -> None:
                 self.bot,
                 config["LOOPS"]["CRYPTO_CATEGORIES"]["CHANNEL"],
             )
-        df = await get_top_categories()
+        try:
+            df = await get_top_categories()
+        except Exception as e:
+            logger.error(f"Error getting coingecko crypto categories: {e}")
+            return
 
         if df is None or df.empty:
             return