Update app.py

app.py

@@ -100,7 +100,7 @@ async def create_auto_user_entry(
 
 @app.get("/analytics/")
 async def get_user_analytics(period: str = Query(..., enum=["last_hour", "last_day", "last_7_day"])):
-    """Endpoint to get user analytics."""
+    """Endpoint to get advanced user analytics."""
     try:
         clean_old_data()  # Clean data before processing
 
@@ -117,18 +117,42 @@ async def get_user_analytics(period: str = Query(..., enum=["last_hour", "last_d
         filtered_data = [entry for entry in user_data.values() if entry["timestamp"] >= cutoff]
         unique_users = len(set(entry["ip_address"] for entry in filtered_data))
         device_counts: Dict[str, int] = {}
+        browser_counts: Dict[str, int] = {}
+        os_counts: Dict[str, int] = {}
+
         for entry in filtered_data:
             device_counts[entry["device_type"]] = device_counts.get(entry["device_type"], 0) + 1
+            browser_counts[entry["browser"]] = browser_counts.get(entry["browser"], 0) + 1
+            os_counts[entry["OS"]] = os_counts.get(entry["OS"], 0) + 1
+
+        # Calculate percentages
+        total_entries = len(filtered_data)
+        device_percentages = {device: (count / total_entries) * 100 for device, count in device_counts.items()}
+        browser_percentages = {browser: (count / total_entries) * 100 for browser, count in browser_counts.items()}
+        os_percentages = {os: (count / total_entries) * 100 for os, count in os_counts.items()}
 
         return {
             "total_unique_users": unique_users,
-            "device_type_info": device_counts,
+            "device_type_info": {
+                "counts": device_counts,
+                "percentages": device_percentages
+            },
+            "browser_info": {
+                "counts": browser_counts,
+                "percentages": browser_percentages
+            },
+            "os_info": {
+                "counts": os_counts,
+                "percentages": os_percentages
+            },
+            "total_entries": total_entries
         }
     except HTTPException as he:
         raise he
     except Exception as e:
         raise HTTPException(status_code=500, detail=f"Error generating analytics: {e}")
 
+
 @app.get("/export/", response_model=Dict[str, UserEntry])
 async def export_user_data():
     """Endpoint to export all user data in JSON format."""