Update notification service

AppImage/components/latency-detail-modal.tsx

@@ -125,20 +125,13 @@ const generateLatencyReport = (report: ReportData) => {
   const logoUrl = `${window.location.origin}/images/proxmenux-logo.png`
   
   // Calculate stats for realtime results
-  const realtimeStats = report.realtimeResults.length > 0 ? (() => {
+  const realtimeStats = report.realtimeResults.length > 0 ? {
-    const validResults = report.realtimeResults.filter(r => r.latency_avg !== null)
+    min: Math.min(...report.realtimeResults.filter(r => r.latency_min !== null).map(r => r.latency_min!)),
-    const minValues = report.realtimeResults.filter(r => r.latency_min !== null).map(r => r.latency_min!)
+    max: Math.max(...report.realtimeResults.filter(r => r.latency_max !== null).map(r => r.latency_max!)),
-    const maxValues = report.realtimeResults.filter(r => r.latency_max !== null).map(r => r.latency_max!)
+    avg: report.realtimeResults.reduce((acc, r) => acc + (r.latency_avg || 0), 0) / report.realtimeResults.length,
-    const avgValues = validResults.map(r => r.latency_avg!)
-    
-    return {
-      min: minValues.length > 0 ? Math.min(...minValues) : (avgValues.length > 0 ? Math.min(...avgValues) : 0),
-      max: maxValues.length > 0 ? Math.max(...maxValues) : (avgValues.length > 0 ? Math.max(...avgValues) : 0),
-      avg: validResults.length > 0 ? validResults.reduce((acc, r) => acc + (r.latency_avg || 0), 0) / validResults.length : 0,
     current: report.realtimeResults[report.realtimeResults.length - 1]?.latency_avg ?? null,
     avgPacketLoss: report.realtimeResults.reduce((acc, r) => acc + (r.packet_loss || 0), 0) / report.realtimeResults.length,
-    }
+  } : null
-  })() : null
 
   const statusText = report.isRealtime 
     ? getStatusText(realtimeStats?.current ?? null)
@@ -177,11 +170,17 @@ const generateLatencyReport = (report: ReportData) => {
     endTime: new Date(report.data[report.data.length - 1].timestamp * 1000).toLocaleString(),
   } : null
 
-  // Generate chart SVG - use average values for the line chart
+  // Generate chart SVG - expand realtime to all 3 values (min, avg, max) per sample
   const chartData = report.isRealtime
-    ? report.realtimeResults
+    ? report.realtimeResults.flatMap(r => {
-        .filter(r => r.latency_avg !== null)
+        const points: number[] = []
-        .map(r => r.latency_avg!)
+        if (r.latency_min !== null) points.push(r.latency_min)
+        if (r.latency_avg !== null && r.latency_avg !== r.latency_min && r.latency_avg !== r.latency_max) {
+          points.push(r.latency_avg)
+        }
+        if (r.latency_max !== null) points.push(r.latency_max)
+        return points.length > 0 ? points : [r.latency_avg ?? 0]
+      })
     : report.data.map(d => d.value || 0)
   
   let chartSvg = '<p style="text-align:center;color:#64748b;padding:20px;">Not enough data points for chart</p>'
@@ -780,32 +779,30 @@ export function LatencyDetailModal({ open, onOpenChange, currentLatency }: Laten
     time: new Date(point.timestamp * 1000).toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' }),
   }))
 
-  // Use average value for the chart line (min/max are shown in stats)
+  // Expand each sample to 3 data points (min, avg, max) for accurate representation
-  const realtimeChartData = realtimeResults
+  const realtimeChartData = realtimeResults.flatMap((r, i) => {
-    .filter(r => r.latency_avg !== null)
+    const time = new Date(r.timestamp || Date.now()).toLocaleTimeString([], { hour: '2-digit', minute: '2-digit', second: '2-digit' })
-    .map(r => ({
+    const points = []
-      time: new Date(r.timestamp || Date.now()).toLocaleTimeString([], { hour: '2-digit', minute: '2-digit', second: '2-digit' }),
+    if (r.latency_min !== null) points.push({ time, value: r.latency_min, packet_loss: r.packet_loss })
-      value: r.latency_avg,
+    if (r.latency_avg !== null && r.latency_avg !== r.latency_min && r.latency_avg !== r.latency_max) {
-      min: r.latency_min,
+      points.push({ time, value: r.latency_avg, packet_loss: r.packet_loss })
-      max: r.latency_max,
+    }
-      packet_loss: r.packet_loss
+    if (r.latency_max !== null) points.push({ time, value: r.latency_max, packet_loss: r.packet_loss })
-    }))
+    // If no valid points, add avg as fallback
+    if (points.length === 0 && r.latency_avg !== null) {
+      points.push({ time, value: r.latency_avg, packet_loss: r.packet_loss })
+    }
+    return points
+  })
 
   // Calculate realtime stats
-  const realtimeStats = realtimeResults.length > 0 ? (() => {
+  const realtimeStats = realtimeResults.length > 0 ? {
-    const validResults = realtimeResults.filter(r => r.latency_avg !== null)
-    const minValues = realtimeResults.filter(r => r.latency_min !== null).map(r => r.latency_min!)
-    const maxValues = realtimeResults.filter(r => r.latency_max !== null).map(r => r.latency_max!)
-    const avgValues = validResults.map(r => r.latency_avg!)
-    
-    return {
     current: realtimeResults[realtimeResults.length - 1]?.latency_avg ?? 0,
-      min: minValues.length > 0 ? Math.min(...minValues) : (avgValues.length > 0 ? Math.min(...avgValues) : 0),
+    min: Math.min(...realtimeResults.filter(r => r.latency_min !== null).map(r => r.latency_min!)) || 0,
-      max: maxValues.length > 0 ? Math.max(...maxValues) : (avgValues.length > 0 ? Math.max(...avgValues) : 0),
+    max: Math.max(...realtimeResults.filter(r => r.latency_max !== null).map(r => r.latency_max!)) || 0,
-      avg: validResults.length > 0 ? validResults.reduce((acc, r) => acc + (r.latency_avg || 0), 0) / validResults.length : 0,
+    avg: realtimeResults.reduce((acc, r) => acc + (r.latency_avg || 0), 0) / realtimeResults.length,
     packetLoss: realtimeResults[realtimeResults.length - 1]?.packet_loss ?? 0,
-    }
+  } : null
-  })() : null
 
   const displayStats = isRealtime ? {
     current: realtimeStats?.current ?? 0,

AppImage/scripts/flask_server.py

@@ -631,7 +631,7 @@ def init_latency_db():
         return False
 
 def _measure_latency(target_ip: str) -> dict:
-  """Ping a target and return latency stats. Uses 3 pings and returns avg, min, max for full visibility."""
+    """Ping a target and return latency stats."""
     try:
         result = subprocess.run(
             ['ping', '-c', '3', '-W', '2', target_ip],
@@ -663,7 +663,7 @@ def _measure_latency(target_ip: str) -> dict:
         return {'success': False, 'avg': None, 'min': None, 'max': None, 'packet_loss': 100.0}
 
 def _record_latency():
-    """Record latency to the default gateway. Only stores the average of 3 pings."""
+    """Record latency to the default gateway."""
     try:
         gateway = _get_default_gateway()
         stats = _measure_latency(gateway)
@@ -671,9 +671,9 @@ def _record_latency():
         conn = _get_temp_db()
         conn.execute(
             """INSERT INTO latency_history 
-               (timestamp, target, latency_avg, packet_loss) 
+               (timestamp, target, latency_avg, latency_min, latency_max, packet_loss) 
-               VALUES (?, ?, ?, ?)""",
+               VALUES (?, ?, ?, ?, ?, ?)""",
-            (int(time.time()), 'gateway', stats['avg'], stats['packet_loss'])
+            (int(time.time()), 'gateway', stats['avg'], stats['min'], stats['max'], stats['packet_loss'])
         )
         conn.commit()
         conn.close()
@@ -718,18 +718,20 @@ def get_latency_history(target='gateway', timeframe='hour'):
         
         if interval is None:
             cursor = conn.execute(
-                """SELECT timestamp, latency_avg, packet_loss 
+                """SELECT timestamp, latency_avg, latency_min, latency_max, packet_loss 
                    FROM latency_history 
                    WHERE timestamp >= ? AND target = ? 
                    ORDER BY timestamp ASC""",
                 (since, target)
             )
             rows = cursor.fetchall()
-            data = [{"timestamp": r[0], "value": r[1], "packet_loss": r[2]} for r in rows if r[1] is not None]
+            data = [{"timestamp": r[0], "value": r[1], "min": r[2], "max": r[3], "packet_loss": r[4]} for r in rows if r[1] is not None]
         else:
             cursor = conn.execute(
                 """SELECT (timestamp / ?) * ? as bucket, 
                           ROUND(AVG(latency_avg), 1) as avg_val,
+                          ROUND(MIN(latency_min), 1) as min_val,
+                          ROUND(MAX(latency_max), 1) as max_val,
                           ROUND(AVG(packet_loss), 1) as avg_loss
                    FROM latency_history 
                    WHERE timestamp >= ? AND target = ?
@@ -738,20 +740,32 @@ def get_latency_history(target='gateway', timeframe='hour'):
                 (interval, interval, since, target)
             )
             rows = cursor.fetchall()
-            data = [{"timestamp": r[0], "value": r[1], "packet_loss": r[2]} for r in rows if r[1] is not None]
+            data = [{"timestamp": r[0], "value": r[1], "min": r[2], "max": r[3], "packet_loss": r[4]} for r in rows if r[1] is not None]
         
         conn.close()
         
-        # Compute stats using the averaged values shown in the graph
+        # Compute stats
         if data:
             values = [d["value"] for d in data if d["value"] is not None]
             if values:
+                # For gateway, use min/max of the averages (values) so stats match the graph
+                # For other targets (realtime), use actual min/max from individual pings
+                if target == 'gateway':
                     stats = {
                         "min": round(min(values), 1),
                         "max": round(max(values), 1),
                         "avg": round(sum(values) / len(values), 1),
                         "current": values[-1] if values else 0
                     }
+                else:
+                    mins = [d["min"] for d in data if d.get("min") is not None]
+                    maxs = [d["max"] for d in data if d.get("max") is not None]
+                    stats = {
+                        "min": round(min(mins) if mins else min(values), 1),
+                        "max": round(max(maxs) if maxs else max(values), 1),
+                        "avg": round(sum(values) / len(values), 1),
+                        "current": values[-1] if values else 0
+                    }
             else:
                 stats = {"min": 0, "max": 0, "avg": 0, "current": 0}
         else:
@@ -761,69 +775,27 @@ def get_latency_history(target='gateway', timeframe='hour'):
     except Exception as e:
         return {"data": [], "stats": {"min": 0, "max": 0, "avg": 0, "current": 0}, "target": target}
 
-def get_latest_gateway_latency():
-    """Get the most recent gateway latency from the database (no new ping).
-    Used by health monitor to avoid duplicate pings."""
-    try:
-        conn = _get_temp_db()
-        cursor = conn.execute(
-            """SELECT timestamp, latency_avg, packet_loss FROM latency_history
-               WHERE target = 'gateway' ORDER BY timestamp DESC LIMIT 1"""
-        )
-        row = cursor.fetchone()
-        conn.close()
-        
-        if row:
-            timestamp, latency_avg, packet_loss = row
-            age = int(time.time()) - timestamp
-            # Only return if data is fresh (less than 2 minutes old)
-            if age <= 120:
-                return {
-                    'latency_avg': latency_avg,
-                    'packet_loss': packet_loss,
-                    'timestamp': timestamp,
-                    'age_seconds': age,
-                    'fresh': True
-                }
-        return {'fresh': False, 'latency_avg': None}
-    except Exception:
-        return {'fresh': False, 'latency_avg': None}
-
 def get_current_latency(target='gateway'):
-    """Get the most recent latency measurement for a target.
+    """Get the most recent latency measurement for a target."""
-    For gateway: reads from database (already monitored every 60s).
-    For cloudflare/google: does a fresh ping (on-demand only)."""
     try:
-        # Gateway uses stored data to avoid duplicate pings
+        # If gateway, resolve to actual IP
         if target == 'gateway':
             target_ip = _get_default_gateway()
-            stored = get_latest_gateway_latency()
-            if stored.get('fresh'):
-                return {
-                    'target': target,
-                    'target_ip': target_ip,
-                    'latency_avg': stored['latency_avg'],
-                    'packet_loss': stored['packet_loss'],
-                    'status': 'ok' if stored['latency_avg'] and stored['latency_avg'] < 100 else 'warning'
-                }
-            # Fallback: do fresh measurement if no stored data
-            stats = _measure_latency(target_ip)
         else:
-    # Cloudflare/Google: fresh ping (not continuously monitored)
             target_ip = LATENCY_TARGETS.get(target, target)
-      stats = _measure_latency(target_ip)
         
+        stats = _measure_latency(target_ip)
         return {
             'target': target,
             'target_ip': target_ip,
             'latency_avg': stats['avg'],
-      'latency_min': stats.get('min'),
+            'latency_min': stats['min'],
-      'latency_max': stats.get('max'),
+            'latency_max': stats['max'],
             'packet_loss': stats['packet_loss'],
             'status': 'ok' if stats['success'] and stats['avg'] and stats['avg'] < 100 else 'warning' if stats['success'] else 'error'
         }
     except Exception:
-    return {'target': target, 'latency_avg': None, 'latency_min': None, 'latency_max': None, 'status': 'error'}
+        return {'target': target, 'latency_avg': None, 'status': 'error'}
 
 
 def _health_collector_loop():

AppImage/scripts/health_monitor.py

@@ -1967,10 +1967,9 @@ class HealthMonitor:
                 latency_ms = latency_status.get('latency_ms', 'N/A')
                 latency_sev = latency_status.get('status', 'OK')
             interface_details['connectivity'] = latency_status
-                target_display = latency_status.get('target', 'gateway')
             connectivity_check = {
                 'status': latency_sev if latency_sev not in ['UNKNOWN'] else 'OK',
-                    'detail': f'Latency {latency_ms}ms to {target_display}' if isinstance(latency_ms, (int, float)) else latency_status.get('reason', 'Unknown'),
+                'detail': f'Latency {latency_ms}ms to gateway' if isinstance(latency_ms, (int, float)) else latency_status.get('reason', 'Unknown'),
             }
                 if latency_sev not in ['OK', 'INFO', 'UNKNOWN']:
                     issues.append(latency_status.get('reason', 'Network latency issue'))
@@ -2007,48 +2006,74 @@ class HealthMonitor:
             return {'status': 'UNKNOWN', 'reason': f'Network check unavailable: {str(e)}', 'checks': {}}
     
     def _check_network_latency(self) -> Optional[Dict[str, Any]]:
-        """Check network latency using the gateway latency already monitored.
+        """Check network latency by reading from the gateway latency monitor database.
         
-        Uses the latency data from flask_server's continuous monitoring (every 60s)
+        Reads the most recent gateway latency measurement from the SQLite database
-        instead of doing a separate ping to avoid duplicate network checks.
+        that is updated every 60 seconds by the latency monitor thread.
-        The gateway latency is based on the average of 3 pings to avoid false positives.
+        This avoids redundant ping operations and uses the existing monitoring data.
         """
         cache_key = 'network_latency'
         current_time = time.time()
         
-        # Use shorter cache since we're reading from DB (no network overhead)
         if cache_key in self.last_check_times:
-            if current_time - self.last_check_times[cache_key] < 30:
+            if current_time - self.last_check_times[cache_key] < 60:
                 return self.cached_results.get(cache_key)
         
         try:
-            # Import and use the stored gateway latency from flask_server
+            import sqlite3
-            import sys
+            db_path = "/usr/local/share/proxmenux/monitor.db"
-            import os
-            sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-            from flask_server import get_latest_gateway_latency, _get_default_gateway
             
-            stored = get_latest_gateway_latency()
+            # Check if database exists
-            gateway_ip = _get_default_gateway() or 'gateway'
+            if not os.path.exists(db_path):
+                return {'status': 'UNKNOWN', 'reason': 'Latency monitor database not available'}
             
-            if stored.get('fresh') and stored.get('latency_avg') is not None:
+            conn = sqlite3.connect(db_path, timeout=5)
-                avg_latency = stored['latency_avg']
+            cursor = conn.execute(
-                packet_loss = stored.get('packet_loss', 0)
+                """SELECT latency_avg, latency_min, latency_max, packet_loss, timestamp
+                   FROM latency_history 
+                   WHERE target = 'gateway' 
+                   ORDER BY timestamp DESC 
+                   LIMIT 1"""
+            )
+            row = cursor.fetchone()
+            conn.close()
+            
+            if row and row[0] is not None:
+                avg_latency = row[0]
+                min_latency = row[1]
+                max_latency = row[2]
+                packet_loss = row[3] or 0
+                data_age = current_time - row[4]
+                
+                # If data is older than 2 minutes, consider it stale
+                if data_age > 120:
+                    stale_result = {
+                        'status': 'UNKNOWN',
+                        'reason': 'Latency data is stale (>2 min old)'
+                    }
+                    self.cached_results[cache_key] = stale_result
+                    self.last_check_times[cache_key] = current_time
+                    return stale_result
                 
                 # Check for packet loss first
-                if packet_loss is not None and packet_loss >= 50:
+                if packet_loss >= 100:
+                    loss_result = {
+                        'status': 'CRITICAL',
+                        'reason': 'Packet loss to gateway (100% loss)',
+                        'latency_ms': None,
+                        'packet_loss': packet_loss
+                    }
+                    self.cached_results[cache_key] = loss_result
+                    self.last_check_times[cache_key] = current_time
+                    return loss_result
+                
+                # Evaluate latency thresholds
+                if avg_latency > self.NETWORK_LATENCY_CRITICAL:
                     status = 'CRITICAL'
-                    reason = f'High packet loss ({packet_loss:.0f}%) to gateway'
+                    reason = f'Latency {avg_latency:.1f}ms to gateway >{self.NETWORK_LATENCY_CRITICAL}ms'
-                elif packet_loss is not None and packet_loss > 0:
-                    status = 'WARNING'
-                    reason = f'Packet loss ({packet_loss:.0f}%) to gateway'
-                # Check latency thresholds
-                elif avg_latency > self.NETWORK_LATENCY_CRITICAL:
-                    status = 'CRITICAL'
-                    reason = f'Latency {avg_latency:.1f}ms >{self.NETWORK_LATENCY_CRITICAL}ms to gateway'
                 elif avg_latency > self.NETWORK_LATENCY_WARNING:
                     status = 'WARNING'
-                    reason = f'Latency {avg_latency:.1f}ms >{self.NETWORK_LATENCY_WARNING}ms to gateway'
+                    reason = f'Latency {avg_latency:.1f}ms to gateway >{self.NETWORK_LATENCY_WARNING}ms'
                 else:
                     status = 'OK'
                     reason = None
@@ -2056,7 +2081,9 @@ class HealthMonitor:
                 latency_result = {
                     'status': status,
                     'latency_ms': round(avg_latency, 1),
-                    'target': gateway_ip,
+                    'latency_min': round(min_latency, 1) if min_latency else None,
+                    'latency_max': round(max_latency, 1) if max_latency else None,
+                    'packet_loss': packet_loss,
                 }
                 if reason:
                     latency_result['reason'] = reason
@@ -2065,11 +2092,17 @@ class HealthMonitor:
                 self.last_check_times[cache_key] = current_time
                 return latency_result
             
-            # No fresh data available - return unknown (monitoring may not be running)
+            # No data in database yet
-            return {'status': 'UNKNOWN', 'reason': 'No recent latency data available'}
+            no_data_result = {
+                'status': 'UNKNOWN',
+                'reason': 'No gateway latency data available yet'
+            }
+            self.cached_results[cache_key] = no_data_result
+            self.last_check_times[cache_key] = current_time
+            return no_data_result
             
         except Exception as e:
-            return {'status': 'UNKNOWN', 'reason': f'Latency check unavailable: {str(e)}'}
+            return {'status': 'UNKNOWN', 'reason': f'Latency check failed: {str(e)}'}
     
     def _is_vzdump_active(self) -> bool:
         """Check if a vzdump (backup) job is currently running."""