Add enhanced logging to track OpenAI API usage vs rule-based recommendations

app/smart_recommendation.py

@@ -75,16 +75,16 @@ class SmartBudgetRecommender:
                 recommended_budget = ai_result.get("recommended_budget")
                 reason = ai_result.get("reason", f"AI recommendation for {category}")
                 action = ai_result.get("action")
-                print(f"OpenAI recommendation for {category}: {recommended_budget}")
+                print(f"✅ OpenAI recommendation for {category}: {recommended_budget} (action: {action})")
             else:
                 # Fallback to rule-based recommendation if OpenAI fails
                 recommended_budget = self._calculate_recommended_budget(avg_expense, data)
                 reason = self._generate_reason(category, avg_expense, recommended_budget)
                 action = None
                 if not ai_result:
-                    print(f"OpenAI unavailable, using rule-based for {category}: {recommended_budget}")
+                    print(f"❌ OpenAI unavailable (no API key or error), using rule-based for {category}: {recommended_budget}")
                 else:
-                    print(f"OpenAI returned invalid data, using rule-based for {category}: {recommended_budget}")
+                    print(f"⚠️ OpenAI returned invalid data, using rule-based for {category}: {recommended_budget}")
 
             recommendations.append(BudgetRecommendation(
                 category=category,
@@ -528,7 +528,10 @@ class SmartBudgetRecommender:
     def _get_ai_recommendation(self, category: str, data: Dict, avg_expense: float):
         """Use OpenAI to refine the budget recommendation."""
         if not OPENAI_API_KEY:
+            print(f"⚠️ OpenAI API key not found in environment variables for category: {category}")
             return None
+        
+        print(f"🔄 Calling OpenAI API for category: {category}...")
 
         # Handle empty monthly_values
         if not data.get("monthly_values") or len(data["monthly_values"]) == 0: