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update latency modal

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MacRimi
2026-03-16 18:19:19 +01:00
parent b7c800b550
commit f406342b53
2 changed files with 48 additions and 28 deletions
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45
AppImage/components/latency-detail-modal.tsx
View File

@@ -63,21 +63,46 @@ interface LatencyDetailModalProps {
const CustomTooltip = ({ active, payload, label }: any) => {
if (active && payload && payload.length) {
const entry = payload[0]
const packetLoss = entry?.payload?.packet_loss
const data = entry?.payload
const packetLoss = data?.packet_loss
const hasMinMax = data?.min !== undefined && data?.max !== undefined && data?.min !== data?.max
return (
<div className="bg-gray-900/95 backdrop-blur-sm border border-gray-700 rounded-lg p-3 shadow-xl">
<p className="text-sm font-semibold text-white mb-2">{label}</p>
<div className="space-y-1.5">
<div className="flex items-center gap-2">
<div className="w-2.5 h-2.5 rounded-full flex-shrink-0 bg-blue-500" />
<span className="text-xs text-gray-300 min-w-[60px]">Latency:</span>
<span className="text-sm font-semibold text-white">{entry.value} ms</span>
</div>
{hasMinMax ? (
// Show min/avg/max when downsampled data is available
<>
<div className="flex items-center gap-2">
<div className="w-2.5 h-2.5 rounded-full flex-shrink-0 bg-green-500" />
<span className="text-xs text-gray-300 min-w-[60px]">Min:</span>
<span className="text-sm font-semibold text-green-400">{data.min} ms</span>
</div>
<div className="flex items-center gap-2">
<div className="w-2.5 h-2.5 rounded-full flex-shrink-0 bg-blue-500" />
<span className="text-xs text-gray-300 min-w-[60px]">Avg:</span>
<span className="text-sm font-semibold text-white">{data.value} ms</span>
</div>
<div className="flex items-center gap-2">
<div className="w-2.5 h-2.5 rounded-full flex-shrink-0 bg-red-500" />
<span className="text-xs text-gray-300 min-w-[60px]">Max:</span>
<span className="text-sm font-semibold text-red-400">{data.max} ms</span>
</div>
</>
) : (
// Simple latency display for single data points
<div className="flex items-center gap-2">
<div className="w-2.5 h-2.5 rounded-full flex-shrink-0 bg-blue-500" />
<span className="text-xs text-gray-300 min-w-[60px]">Latency:</span>
<span className="text-sm font-semibold text-white">{entry.value} ms</span>
</div>
)}
{packetLoss !== undefined && packetLoss > 0 && (
<div className="flex items-center gap-2">
<div className="w-2.5 h-2.5 rounded-full flex-shrink-0 bg-red-500" />
<div className="w-2.5 h-2.5 rounded-full flex-shrink-0 bg-orange-500" />
<span className="text-xs text-gray-300 min-w-[60px]">Pkt Loss:</span>
<span className="text-sm font-semibold text-red-400">{packetLoss}%</span>
<span className="text-sm font-semibold text-orange-400">{packetLoss}%</span>
</div>
)}
</div>
@@ -1083,9 +1108,11 @@ export function LatencyDetailModal({ open, onOpenChange, currentLatency }: Laten
tickFormatter={(v) => `${Number(v).toFixed(1)}ms`}
/>
<Tooltip content={<CustomTooltip />} />
{/* For longer timeframes (6h+), show max values to preserve spikes.
For 1 hour view, show avg values since there's no downsampling */}
<Area
type="monotone"
dataKey="value"
dataKey={timeframe === "hour" ? "value" : "max"}
stroke="#3b82f6"
strokeWidth={2}
fill="url(#latencyGradient)"

31
AppImage/scripts/flask_server.py
View File

@@ -746,28 +746,21 @@ def get_latency_history(target='gateway', timeframe='hour'):
conn.close()
# Compute stats
# Compute stats - always use actual min/max values to preserve spikes
if data:
values = [d["value"] for d in data if d["value"] is not None]
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]
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
}
stats = {
# Use actual min from all samples (preserves lowest value)
"min": round(min(mins) if mins else min(values), 1),
# Use actual max from all samples (preserves spikes)
"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: