calculated year average by own

app.py

@@ -592,7 +592,7 @@ def get_detailed_student_points(roll_no, studentwise_data):
         student_data[header] = student_found[i] if i < len(student_found) else ""
     
     output = []
-    output.append("\n")
+    output.append("")
     output.append("🏆 REWARD POINTS BREAKDOWN")
     output.append("=" * 80)
     
@@ -646,6 +646,65 @@ def get_detailed_student_points(roll_no, studentwise_data):
 
     return "\n".join(output)
 
+def calculate_yearwise_average_points():
+    """Calculate year-wise average points from the combined data"""
+    combined_df, _, _, _ = get_cached_data()  # FIX: Get all 4 return values
+    if combined_df.empty:
+        return "❌ No data available to calculate averages"
+
+    # Try to find columns automatically
+    year_col, points_col = None, None
+    for col in combined_df.columns:
+        if 'year' in col.lower():
+            year_col = col
+        if 'balance' in col.lower() and 'points' in col.lower():
+            points_col = col
+    
+    if not year_col or not points_col:
+        return "⚠️ Required columns not found in the data"
+
+    # Create a copy for processing
+    df = combined_df[[year_col, points_col]].copy()
+    
+    # Clean and convert points data
+    df[points_col] = pd.to_numeric(
+        df[points_col].astype(str).str.replace(',', '').str.strip(), 
+        errors='coerce'
+    )
+    df.dropna(subset=[points_col], inplace=True)
+    
+    # Remove rows with zero or negative points for more accurate averages
+    df = df[df[points_col] > 0]
+
+    if df.empty:
+        return "⚠️ No valid points data found for calculation"
+
+    # Group by year
+    yearwise = df.groupby(year_col)[points_col].agg(['sum', 'count', 'mean', 'min', 'max']).reset_index()
+    yearwise['average'] = yearwise['mean']  # Use pandas mean for consistency
+
+    # Format the output neatly
+    output = []
+    output.append("=" * 90)
+    output.append(" ")
+    output.append("📊 YEAR-WISE AVERAGE REWARD POINTS (CALCULATED)")
+    output.append("-" * 90)
+    
+    for _, row in yearwise.iterrows():
+        year = str(row[year_col]).strip()
+        total_points = f"{row['sum']:.0f}"
+        count = int(row['count'])
+        avg = f"{row['average']:.2f}"
+        min_pts = f"{row['min']:.0f}"
+        max_pts = f"{row['max']:.0f}"
+        
+        output.append(f"Year {year:<10} {avg}")
+    
+    output.append("=" * 90)
+    return "\n".join(output)
+
+
+
 # Load initial data
 print("📊 Loading initial data...")
 load_all_data()
@@ -794,7 +853,7 @@ def get_system_info():
     output.append("=" * 80)
     output.append("SYSTEM INFORMATION")
     output.append("=" * 80)
-    
+
     # Average Points
     if 'average_points' in details_info:
         output.append("\nAVERAGE REWARD POINTS BY YEAR:")
@@ -802,6 +861,11 @@ def get_system_info():
         for year, points in details_info['average_points'].items():
             if points:
                 output.append(f"Year {year:<10}: {points}")
+
+    # Calculated Year-wise Average Points
+    calculated_averages = calculate_yearwise_average_points()
+    if calculated_averages and not calculated_averages.startswith("❌") and not calculated_averages.startswith("⚠️"):
+        output.append(calculated_averages)
     
     # Redemption Dates
     if 'ip1_redemption' in details_info: