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https://github.com/MacRimi/ProxMenux.git
synced 2026-04-18 10:02:16 +00:00
Update notification service
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@@ -631,39 +631,39 @@ def init_latency_db():
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return False
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def _measure_latency(target_ip: str) -> dict:
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"""Ping a target and return latency stats. Uses 3 pings and returns avg, min, max for full visibility."""
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try:
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result = subprocess.run(
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['ping', '-c', '3', '-W', '2', target_ip],
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capture_output=True, text=True, timeout=10
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)
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if result.returncode == 0:
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latencies = []
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for line in result.stdout.split('\n'):
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if 'time=' in line:
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try:
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latency_str = line.split('time=')[1].split()[0]
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latencies.append(float(latency_str))
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except:
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pass
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if latencies:
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return {
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'success': True,
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'avg': round(sum(latencies) / len(latencies), 1),
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'min': round(min(latencies), 1),
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'max': round(max(latencies), 1),
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'packet_loss': round((3 - len(latencies)) / 3 * 100, 1)
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}
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# Ping failed - 100% packet loss
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return {'success': False, 'avg': None, 'min': None, 'max': None, 'packet_loss': 100.0}
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except Exception:
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return {'success': False, 'avg': None, 'min': None, 'max': None, 'packet_loss': 100.0}
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"""Ping a target and return latency stats."""
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try:
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result = subprocess.run(
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['ping', '-c', '3', '-W', '2', target_ip],
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capture_output=True, text=True, timeout=10
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)
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if result.returncode == 0:
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latencies = []
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for line in result.stdout.split('\n'):
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if 'time=' in line:
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try:
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latency_str = line.split('time=')[1].split()[0]
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latencies.append(float(latency_str))
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except:
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pass
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if latencies:
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return {
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'success': True,
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'avg': round(sum(latencies) / len(latencies), 1),
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'min': round(min(latencies), 1),
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'max': round(max(latencies), 1),
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'packet_loss': round((3 - len(latencies)) / 3 * 100, 1)
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}
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# Ping failed - 100% packet loss
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return {'success': False, 'avg': None, 'min': None, 'max': None, 'packet_loss': 100.0}
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except Exception:
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return {'success': False, 'avg': None, 'min': None, 'max': None, 'packet_loss': 100.0}
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def _record_latency():
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"""Record latency to the default gateway. Only stores the average of 3 pings."""
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"""Record latency to the default gateway."""
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try:
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gateway = _get_default_gateway()
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stats = _measure_latency(gateway)
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@@ -671,9 +671,9 @@ def _record_latency():
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conn = _get_temp_db()
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conn.execute(
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"""INSERT INTO latency_history
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(timestamp, target, latency_avg, packet_loss)
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VALUES (?, ?, ?, ?)""",
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(int(time.time()), 'gateway', stats['avg'], stats['packet_loss'])
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(timestamp, target, latency_avg, latency_min, latency_max, packet_loss)
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VALUES (?, ?, ?, ?, ?, ?)""",
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(int(time.time()), 'gateway', stats['avg'], stats['min'], stats['max'], stats['packet_loss'])
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)
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conn.commit()
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conn.close()
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@@ -718,18 +718,20 @@ def get_latency_history(target='gateway', timeframe='hour'):
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if interval is None:
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cursor = conn.execute(
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"""SELECT timestamp, latency_avg, packet_loss
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"""SELECT timestamp, latency_avg, latency_min, latency_max, packet_loss
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FROM latency_history
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WHERE timestamp >= ? AND target = ?
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ORDER BY timestamp ASC""",
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(since, target)
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)
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rows = cursor.fetchall()
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data = [{"timestamp": r[0], "value": r[1], "packet_loss": r[2]} for r in rows if r[1] is not None]
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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]
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else:
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cursor = conn.execute(
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"""SELECT (timestamp / ?) * ? as bucket,
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ROUND(AVG(latency_avg), 1) as avg_val,
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ROUND(MIN(latency_min), 1) as min_val,
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ROUND(MAX(latency_max), 1) as max_val,
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ROUND(AVG(packet_loss), 1) as avg_loss
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FROM latency_history
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WHERE timestamp >= ? AND target = ?
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@@ -738,20 +740,32 @@ def get_latency_history(target='gateway', timeframe='hour'):
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(interval, interval, since, target)
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)
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rows = cursor.fetchall()
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data = [{"timestamp": r[0], "value": r[1], "packet_loss": r[2]} for r in rows if r[1] is not None]
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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]
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conn.close()
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# Compute stats using the averaged values shown in the graph
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# Compute stats
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if data:
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values = [d["value"] for d in data if d["value"] is not None]
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if values:
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stats = {
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"min": round(min(values), 1),
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"max": round(max(values), 1),
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"avg": round(sum(values) / len(values), 1),
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"current": values[-1] if values else 0
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}
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# For gateway, use min/max of the averages (values) so stats match the graph
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# For other targets (realtime), use actual min/max from individual pings
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if target == 'gateway':
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stats = {
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"min": round(min(values), 1),
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"max": round(max(values), 1),
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"avg": round(sum(values) / len(values), 1),
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"current": values[-1] if values else 0
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}
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else:
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mins = [d["min"] for d in data if d.get("min") is not None]
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maxs = [d["max"] for d in data if d.get("max") is not None]
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stats = {
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"min": round(min(mins) if mins else min(values), 1),
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"max": round(max(maxs) if maxs else max(values), 1),
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"avg": round(sum(values) / len(values), 1),
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"current": values[-1] if values else 0
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}
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else:
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stats = {"min": 0, "max": 0, "avg": 0, "current": 0}
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else:
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@@ -761,69 +775,27 @@ def get_latency_history(target='gateway', timeframe='hour'):
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except Exception as e:
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return {"data": [], "stats": {"min": 0, "max": 0, "avg": 0, "current": 0}, "target": target}
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def get_latest_gateway_latency():
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"""Get the most recent gateway latency from the database (no new ping).
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Used by health monitor to avoid duplicate pings."""
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try:
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conn = _get_temp_db()
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cursor = conn.execute(
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"""SELECT timestamp, latency_avg, packet_loss FROM latency_history
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WHERE target = 'gateway' ORDER BY timestamp DESC LIMIT 1"""
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)
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row = cursor.fetchone()
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conn.close()
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if row:
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timestamp, latency_avg, packet_loss = row
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age = int(time.time()) - timestamp
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# Only return if data is fresh (less than 2 minutes old)
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if age <= 120:
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return {
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'latency_avg': latency_avg,
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'packet_loss': packet_loss,
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'timestamp': timestamp,
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'age_seconds': age,
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'fresh': True
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}
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return {'fresh': False, 'latency_avg': None}
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except Exception:
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return {'fresh': False, 'latency_avg': None}
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def get_current_latency(target='gateway'):
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"""Get the most recent latency measurement for a target.
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For gateway: reads from database (already monitored every 60s).
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For cloudflare/google: does a fresh ping (on-demand only)."""
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"""Get the most recent latency measurement for a target."""
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try:
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# Gateway uses stored data to avoid duplicate pings
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# If gateway, resolve to actual IP
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if target == 'gateway':
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target_ip = _get_default_gateway()
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stored = get_latest_gateway_latency()
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if stored.get('fresh'):
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return {
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'target': target,
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'target_ip': target_ip,
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'latency_avg': stored['latency_avg'],
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'packet_loss': stored['packet_loss'],
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'status': 'ok' if stored['latency_avg'] and stored['latency_avg'] < 100 else 'warning'
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}
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# Fallback: do fresh measurement if no stored data
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stats = _measure_latency(target_ip)
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else:
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# Cloudflare/Google: fresh ping (not continuously monitored)
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target_ip = LATENCY_TARGETS.get(target, target)
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stats = _measure_latency(target_ip)
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return {
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'target': target,
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'target_ip': target_ip,
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'latency_avg': stats['avg'],
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'latency_min': stats.get('min'),
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'latency_max': stats.get('max'),
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'packet_loss': stats['packet_loss'],
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'status': 'ok' if stats['success'] and stats['avg'] and stats['avg'] < 100 else 'warning' if stats['success'] else 'error'
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}
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except Exception:
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return {'target': target, 'latency_avg': None, 'latency_min': None, 'latency_max': None, 'status': 'error'}
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target_ip = LATENCY_TARGETS.get(target, target)
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stats = _measure_latency(target_ip)
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return {
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'target': target,
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'target_ip': target_ip,
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'latency_avg': stats['avg'],
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'latency_min': stats['min'],
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'latency_max': stats['max'],
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'packet_loss': stats['packet_loss'],
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'status': 'ok' if stats['success'] and stats['avg'] and stats['avg'] < 100 else 'warning' if stats['success'] else 'error'
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}
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except Exception:
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return {'target': target, 'latency_avg': None, 'status': 'error'}
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def _health_collector_loop():
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