Improve error handling and data validation in client analytics: Update API to return empty analytics data instead of raising an error when no data is available. Enhance date formatting checks in analytics calculations and frontend chart rendering to ensure robustness against invalid date formats.

views_api.py

@@ -70,13 +70,26 @@ async def api_get_client_analytics(
     time_range: str = Query("30d", regex="^(7d|30d|90d|1y|all)$"),
 ) -> ClientAnalytics:
     """Get client performance analytics and cost basis data"""
-    analytics = await get_client_analytics(wallet.wallet.user, time_range)
-    if not analytics:
-        raise HTTPException(
-            status_code=HTTPStatus.NOT_FOUND,
-            detail="Analytics data not available"
+    try:
+        analytics = await get_client_analytics(wallet.wallet.user, time_range)
+        if not analytics:
+            # Return empty analytics data instead of error
+            return ClientAnalytics(
+                user_id=wallet.wallet.user,
+                cost_basis_history=[],
+                accumulation_timeline=[],
+                transaction_frequency={}
+            )
+        return analytics
+    except Exception as e:
+        print(f"Analytics error: {e}")
+        # Return empty analytics data as fallback
+        return ClientAnalytics(
+            user_id=wallet.wallet.user,
+            cost_basis_history=[],
+            accumulation_timeline=[],
+            transaction_frequency={}
         )
-    return analytics
 
 
 @satmachineclient_api_router.put("/api/v1/dashboard/settings")