Update utils/api_client.py

utils/api_client.py

@@ -246,65 +246,95 @@ class RewardPilotClient:
             }
         }
     
-    def _get_mock_analytics(self, user_id: str) -> Dict:
-        """Generate mock analytics for demo/development"""
+    def _get_mock_analytics(self, user_id: str) -> Dict[str, Any]:
+        """Generate user-specific mock analytics"""
         
-        logger.warning(f"⚠️ Using mock analytics for {user_id}")
+        # Different data for different users
+        user_profiles = {
+            "u_alice": {
+                "user_id": "u_alice",
+                "total_spending": 4250.75,
+                "total_rewards": 187.50,
+                "optimization_score": 92,
+                "optimized_count": 58,
+                "potential_savings": 125.00,
+                "spending_by_category": {
+                    "Groceries": 1200.00,
+                    "Restaurants": 850.50,
+                    "Gas Stations": 420.25,
+                    "Online Shopping": 1200.00,
+                    "Entertainment": 580.00
+                },
+                "rewards_by_card": {
+                    "Amex Gold": 95.50,
+                    "Chase Sapphire Reserve": 62.00,
+                    "Citi Double Cash": 30.00
+                },
+                "monthly_trends": [
+                    {"month": "Aug", "spending": 1200, "rewards": 52},
+                    {"month": "Sep", "spending": 1450, "rewards": 63},
+                    {"month": "Oct", "spending": 1600, "rewards": 72}
+                ]
+            },
+            "u_bob": {
+                "user_id": "u_bob",
+                "total_spending": 3150.25,
+                "total_rewards": 142.30,
+                "optimization_score": 78,
+                "optimized_count": 42,
+                "potential_savings": 285.50,
+                "spending_by_category": {
+                    "Groceries": 800.00,
+                    "Restaurants": 1200.00,
+                    "Gas Stations": 350.00,
+                    "Airlines": 600.00,
+                    "Entertainment": 200.25
+                },
+                "rewards_by_card": {
+                    "Chase Sapphire Reserve": 85.00,
+                    "Amex Gold": 42.30,
+                    "Capital One Venture": 15.00
+                },
+                "monthly_trends": [
+                    {"month": "Aug", "spending": 950, "rewards": 38},
+                    {"month": "Sep", "spending": 1100, "rewards": 52},
+                    {"month": "Oct", "spending": 1100, "rewards": 52}
+                ]
+            },
+            "u_charlie": {
+                "user_id": "u_charlie",
+                "total_spending": 5420.80,
+                "total_rewards": 245.60,
+                "optimization_score": 85,
+                "optimized_count": 67,
+                "potential_savings": 180.00,
+                "spending_by_category": {
+                    "Online Shopping": 2000.00,
+                    "Groceries": 1100.00,
+                    "Restaurants": 950.00,
+                    "Gas Stations": 520.80,
+                    "Hotels": 850.00
+                },
+                "rewards_by_card": {
+                    "Amex Gold": 125.00,
+                    "Chase Sapphire Reserve": 95.60,
+                    "Citi Double Cash": 25.00
+                },
+                "monthly_trends": [
+                    {"month": "Aug", "spending": 1650, "rewards": 75},
+                    {"month": "Sep", "spending": 1850, "rewards": 82},
+                    {"month": "Oct", "spending": 1920, "rewards": 88}
+                ]
+            }
+        }
+        
+        # Get user-specific data or default to alice
+        user_data = user_profiles.get(user_id, user_profiles["u_alice"])
         
         return {
             "success": True,
             "data": {
-                "user_id": user_id,
-                "total_spending": 3450.75,
-                "total_rewards": 142.50,
-                "potential_savings": 425.00,
-                "optimization_score": 87,
-                "optimized_count": 156,
-                "total_transactions": 180,
-                "top_category": "Groceries",
-                "cards": ["Amex Gold", "Chase Sapphire Reserve", "Citi Double Cash"],
-                "category_breakdown": [
-                    {
-                        "category": "Groceries",
-                        "spending": 1250.00,
-                        "rewards": 50.00,
-                        "transactions": 45
-                    },
-                    {
-                        "category": "Dining",
-                        "spending": 890.50,
-                        "rewards": 35.62,
-                        "transactions": 38
-                    },
-                    {
-                        "category": "Travel",
-                        "spending": 750.25,
-                        "rewards": 22.51,
-                        "transactions": 12
-                    },
-                    {
-                        "category": "Gas",
-                        "spending": 350.00,
-                        "rewards": 14.00,
-                        "transactions": 24
-                    },
-                    {
-                        "category": "Online Shopping",
-                        "spending": 210.00,
-                        "rewards": 10.50,
-                        "transactions": 18
-                    }
-                ],
-                "monthly_trends": [
-                    {"month": "Jan", "spending": 2800, "rewards": 115},
-                    {"month": "Feb", "spending": 3100, "rewards": 128},
-                    {"month": "Mar", "spending": 3450, "rewards": 142}
-                ],
-                "card_performance": [
-                    {"card": "Amex Gold", "rewards": 65.00, "usage_pct": 45},
-                    {"card": "Chase Sapphire Reserve", "rewards": 48.50, "usage_pct": 30},
-                    {"card": "Citi Double Cash", "rewards": 29.00, "usage_pct": 25}
-                ],
+                **user_data,
                 "mock_data": True
             }
         }