fix: FILE_RFP_EXCEL_COUNT and error messeges print problem fix

bot_telegram.py

@@ -18,7 +18,7 @@ BOT_SECRET_PASSWORD = os.getenv("BOT_SECRET_PASSWORD")
 BOT_TOKEN = os.getenv("BOT_TOKEN")
 BASE_URL = os.getenv("BASE_URL")
 HF_TOKEN = os.getenv("HF_TOKEN")
-#FILE_RFP_EXCEL_COUNT = os.getenv("FILE_RFP_EXCEL_COUNT", "100")
+FILE_RFP_EXCEL_COUNT = int(os.getenv("FILE_RFP_EXCEL_COUNT", "100"))  # Default to 100 if not set
 # API_USERNAME = os.getenv("API_USERNAME")
 # API_PASSWORD = os.getenv("API_PASSWORD")
 
@@ -231,35 +231,41 @@ class TelegramBot:
                 df = pd.read_excel(io.BytesIO(file_bytes), sheet_name='rfp')
                 # Add debug logging
                 logging.info(f"Excel columns found: {df.columns.tolist()}")
+                
+                # Check for empty dataframe first
+                if df.empty:
+                    await update.message.reply_text(
+                        "❌ Error: Excel file is empty."
+                    )
+                    return
+
+                # Check for question column and make it case-insensitive
+                columns_lower = [col.lower() for col in df.columns]
+                if 'question' not in columns_lower:
+                    logging.info(f"'question' column not found in columns: {df.columns.tolist()}")
+                    await update.message.reply_text(
+                        "❌ Error: Excel file does not have 'question' column.\n"
+                        "Please make sure your Excel file has a column named 'question'.\n"
+                        f"Found columns: {', '.join(df.columns.tolist())}"
+                    )
+                    return
+
             except Exception as e:
+                logging.error(f"Error reading Excel: {str(e)}")
                 await update.message.reply_text(
                     f"❌ Error reading Excel file: {str(e)}\n"
                     f"Please make sure the file has 'rfp' sheet with 'question' column."
                 )
                 return
-
-            if df.empty:
-                await update.message.reply_text(
-                    "❌ Error: Excel file is empty."
-                )
-                return
-
-            # Add debug logging before check
-            logging.info("Checking for 'question' column...")
-            if 'question' not in df.columns:
-                logging.info("'question' column not found!")
-                await update.message.reply_text(
-                    "❌ Error: Excel file does not have 'question' column.\n"
-                    "Please make sure your Excel file has a column named 'question'."
-                )
-                return
             #print("debug 1")
             #print("FILE_RFP_EXCEL_COUNT: ",FILE_RFP_EXCEL_COUNT)
             #print("type: ",type(FILE_RFP_EXCEL_COUNT))
-            if df['question'].count() > 100: #FILE_RFP_EXCEL_COUNT:
+            if df['question'].count() > FILE_RFP_EXCEL_COUNT:
                 await update.message.reply_text(
-                    f"❌ Error reading Excel file: {str(e)}\n"
-                    f"Excel file have more than {FILE_RFP_EXCEL_COUNT} questions."
+                    "❌ Error: Too many questions in Excel file!\n"
+                    f"Your file has {df['question'].count()} questions.\n"
+                    f"Maximum allowed is {FILE_RFP_EXCEL_COUNT} questions.\n"
+                    "Please reduce the number of questions and try again."
                 )
                 return