Add aggressive final validation to ALWAYS prevent lazy 'keep' recommendations and handle data corruption

app/smart_recommendation.py

@@ -484,6 +484,39 @@ class SmartBudgetRecommender:
             else:
                 print(f"⚠️ OpenAI returned invalid data, using rule-based for {category_name}: {recommended_budget}")
         
+        # 🚨 AGGRESSIVE FINAL VALIDATION: ALWAYS prevent lazy "keep" recommendations
+        # Check if recommended_budget is essentially the same as avg_expense (within 2% tolerance)
+        tolerance_percent = 0.02  # 2% tolerance
+        tolerance = abs(avg_expense * tolerance_percent)
+        difference = abs(recommended_budget - avg_expense)
+        
+        if action == "keep" and difference <= tolerance:
+            # They're essentially the same - FORCE an increase
+            print(f"🚨 AGGRESSIVE VALIDATION: Overriding lazy 'keep' recommendation")
+            print(f"   avg_expense={avg_expense:,.2f}, recommended_budget={recommended_budget:,.2f}, difference={difference:,.2f}, tolerance={tolerance:,.2f}")
+            recommended_budget = avg_expense * 1.10  # Force 10% increase
+            action = "increase"
+            reason = f"Based on your spending pattern, I recommend increasing your budget by 10% to {recommended_budget:,.0f} to account for inflation, variability, and unexpected expenses. This provides a safety buffer for better financial planning."
+        
+        # Check for data corruption (unreasonably large numbers)
+        if recommended_budget > 1e15 or avg_expense > 1e15:
+            print(f"🚨 DATA CORRUPTION DETECTED: Numbers are unreasonably large!")
+            print(f"   avg_expense={avg_expense:,.2e}, recommended_budget={recommended_budget:,.2e}")
+            # Use a safe fallback - cap at reasonable maximum
+            if avg_expense > 1e15:
+                print(f"   Capping avg_expense from {avg_expense:,.2e} to 1,000,000,000")
+                avg_expense = 1e9  # 1 billion as safe maximum
+            recommended_budget = avg_expense * 1.10
+            action = "increase"
+            reason = f"Based on your spending data, I recommend a budget of {recommended_budget:,.0f} (10% increase from average) to account for variability and inflation."
+        
+        # EXTRA SAFETY: If action is still "keep" and values are very close, force change
+        if action == "keep" and difference < (avg_expense * 0.05):  # Within 5%
+            print(f"🚨 EXTRA SAFETY CHECK: Forcing change from 'keep' (difference is {difference:,.2f}, which is < 5% of average)")
+            recommended_budget = avg_expense * 1.10
+            action = "increase"
+            reason = f"I recommend increasing your budget by 10% to {recommended_budget:,.0f} to provide a buffer for inflation and unexpected expenses."
+        
         # Create recommendation
         return [BudgetRecommendation(
             category=category_name,