Build Nginx live traffic monitor

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Jordan Wages 2026-09-17 17:47:16 -05:00
commit fb66a69bd7
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# nginx-realtime-traffic-dashboard # Nginx Live Traffic Monitor
Shows realtime traffic flows for an nginx reverse proxy per server. ![Dashboard screenshot](docs/screenshot-placeholder.svg)
A small Python/FastAPI dashboard for seeing live traffic through an Nginx reverse proxy. It follows one dedicated access log, aggregates requests into bounded one-second in-memory buckets, and streams telemetry to browsers over Server-Sent Events. There is no database or persistent application telemetry.
## Requirements and installation
Python 3.10+ is required. From a checkout:
```sh
python3 -m venv .venv
. .venv/bin/activate
pip install -r requirements.txt
```
The dashboard uses Bulma and Chart.js from their public CDNs. For an offline deployment, vendor those two assets and update `app/static/index.html`.
## Nginx log format
Add the dedicated log (the application does not change Nginx configuration):
```nginx
log_format traffic '$msec $host $request_method $status '
'$request_length $bytes_sent '
'$request_time $upstream_response_time';
access_log /var/log/nginx-traffic/traffic.log traffic;
```
The follower tolerates malformed lines, `-` upstream times, multiple upstream values, temporary disappearance, and rename/replacement rotation. It starts at the end of an existing file, like `tail -F`, so old log history is not mistaken for live traffic. The application keeps only configured rolling buckets (and bounded latency samples); totals are from application startup.
## Running
```sh
python -m app.main
```
Open <http://127.0.0.1:8080>. Configuration is available through flags or environment variables:
| Setting | Flag | Environment variable | Default |
| --- | --- | --- | --- |
| Traffic log | `--log-path` | `TRAFFIC_LOG_PATH` | `/var/log/nginx-traffic/traffic.log` |
| Listen address | `--host` | `LISTEN_ADDRESS` | `127.0.0.1` |
| Listen port | `--port` | `LISTEN_PORT` | `8080` |
| Retention seconds | `--retention` | `TELEMETRY_RETENTION` | `3600` |
Example:
```sh
TRAFFIC_LOG_PATH=/var/log/nginx-traffic/traffic.log LISTEN_ADDRESS=0.0.0.0 LISTEN_PORT=8080 \
python -m app.main --retention 3600
```
The visible window can be set to 1 minute, 5 minutes, 15 minutes, or 1 hour. A new browser receives enough current history to fill its selected graph window. Host names are discovered automatically and can be selected for breakout graphs. Theme selection (system, light, dark) is stored in browser local storage.
## tmpfs and permissions
One possible tmpfs setup is:
```sh
sudo install -d -o nginx -g nginx -m 0750 /var/log/nginx-traffic
sudo mount -t tmpfs -o size=64M,mode=0750,uid=nginx,gid=nginx tmpfs /var/log/nginx-traffic
```
The service account needs search/read permission on the directory and read permission on `traffic.log`. If Nginx writes as another group, grant the monitor account group access or use an ACL, for example:
```sh
sudo setfacl -m u:nginx-monitor:rx /var/log/nginx-traffic
sudo setfacl -m u:nginx-monitor:r /var/log/nginx-traffic/traffic.log
```
## systemd
Copy the included `nginx-traffic-monitor.service` to `/etc/systemd/system/`, adjust `WorkingDirectory`, virtualenv path, and the `User`/`Group` to match the installation, then:
```sh
sudo systemctl daemon-reload
sudo systemctl enable --now nginx-traffic-monitor
sudo systemctl status nginx-traffic-monitor
```
The service should run as an unprivileged account. Put a reverse proxy or firewall in front of it if it must be accessed beyond localhost; this utility intentionally has no authentication.
## Development
Run the focused parser/aggregation tests with:
```sh
pytest -q
```
The server task follows the path by inode, drains currently available data from a renamed file, and reopens a replacement. A missing path is retried without busy polling. The publisher sends one compact snapshot per second to each SSE subscriber, and disconnecting clients are removed automatically.

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app/__init__.py Normal file
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"""Nginx live traffic monitor."""

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app/main.py Normal file
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from __future__ import annotations
import argparse
import asyncio
import json
import math
import os
import statistics
import threading
import time
from collections import deque
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, AsyncIterator
from fastapi import FastAPI, Request
from fastapi.responses import FileResponse, StreamingResponse
from fastapi.staticfiles import StaticFiles
DEFAULT_LOG = "/var/log/nginx-traffic/traffic.log"
MAX_HOSTS = 1000
@dataclass
class Bucket:
incoming: int = 0
outgoing: int = 0
requests: int = 0
statuses: list[int] = field(default_factory=lambda: [0, 0, 0, 0])
request_times: list[float] = field(default_factory=list)
upstream_times: list[float] = field(default_factory=list)
class Series:
def __init__(self, retention: int):
self.retention = retention
self.buckets: dict[int, Bucket] = {}
def bucket(self, second: int) -> Bucket:
if second not in self.buckets:
self.buckets[second] = Bucket()
cutoff = second - self.retention + 1
for old in [key for key in self.buckets if key < cutoff]:
del self.buckets[old]
return self.buckets[second]
def percentile(values: list[float], p: float) -> float | None:
if not values:
return None
values = sorted(values)
index = (len(values) - 1) * p
low, high = math.floor(index), math.ceil(index)
if low == high:
return values[low]
return values[low] + (values[high] - values[low]) * (index - low)
def parse_line(line: str) -> dict[str, Any] | None:
"""Parse the configured, whitespace-delimited Nginx traffic format."""
fields = line.strip().split()
if len(fields) < 8:
return None
try:
timestamp = float(fields[0])
status = int(fields[3])
request_length = int(fields[4])
bytes_sent = int(fields[5])
request_time = float(fields[6])
upstream_raw = "".join(fields[7:])
upstream_values = [float(value) for value in upstream_raw.split(",") if value not in ("", "-")]
if not all(math.isfinite(value) and value >= 0 for value in
(timestamp, request_length, bytes_sent, request_time, *upstream_values)):
return None
if status < 100 or status > 599:
return None
except (ValueError, OverflowError):
return None
return {
"timestamp": timestamp,
"host": fields[1] or "(unknown)",
"incoming": request_length,
"outgoing": bytes_sent,
"status": status,
"request_time": request_time,
"upstream_time": statistics.fmean(upstream_values) if upstream_values else None,
}
class Telemetry:
def __init__(self, retention: int):
self.retention = max(60, min(retention, 86400))
self.global_series = Series(self.retention)
self.hosts: dict[str, Series] = {}
self.last_seen: dict[str, int] = {}
self.total_incoming = 0
self.total_outgoing = 0
self.lock = threading.RLock()
self.subscribers: set[asyncio.Queue[str]] = set()
def ingest(self, event: dict[str, Any]) -> None:
now = int(time.time())
second = int(event["timestamp"])
# Log timestamps are normally current, but clamping protects bounded
# storage if a clock-jumped or otherwise surprising line appears.
if second < now - self.retention:
return
second = min(second, now)
with self.lock:
self._add(self.global_series.bucket(second), event)
host = event["host"]
if host not in self.hosts:
if len(self.hosts) >= MAX_HOSTS:
oldest = min(self.last_seen, key=self.last_seen.get)
self.hosts.pop(oldest, None)
self.last_seen.pop(oldest, None)
self.hosts[host] = Series(self.retention)
self._add(self.hosts[host].bucket(second), event)
self.last_seen[host] = second
self.total_incoming += event["incoming"]
self.total_outgoing += event["outgoing"]
@staticmethod
def _add(bucket: Bucket, event: dict[str, Any]) -> None:
bucket.incoming += event["incoming"]
bucket.outgoing += event["outgoing"]
bucket.requests += 1
status_class = event["status"] // 100
if 2 <= status_class <= 5:
bucket.statuses[status_class - 2] += 1
if len(bucket.request_times) < 256:
bucket.request_times.append(event["request_time"])
if event["upstream_time"] is not None and len(bucket.upstream_times) < 256:
bucket.upstream_times.append(event["upstream_time"])
def subscribe(self) -> asyncio.Queue[str]:
queue: asyncio.Queue[str] = asyncio.Queue(maxsize=2)
with self.lock:
self.subscribers.add(queue)
return queue
def unsubscribe(self, queue: asyncio.Queue[str]) -> None:
with self.lock:
self.subscribers.discard(queue)
def snapshot(self, window: int) -> dict[str, Any]:
now = int(time.time())
start = now - window + 1
with self.lock:
points = [self._point(self.global_series.buckets.get(second), second) for second in range(start, now + 1)]
hosts = sorted(self.hosts, key=lambda host: self.last_seen.get(host, 0), reverse=True)
active = [host for host in hosts if self.last_seen.get(host, 0) >= now - 59]
host_points = {
host: [self._point(self.hosts[host].buckets.get(second), second) for second in range(start, now + 1)]
for host in hosts
}
current = self._summary(points[-60:])
current["total_incoming"] = self.total_incoming
current["total_outgoing"] = self.total_outgoing
current["active_hosts"] = len(active)
current["busiest_host"] = max(active, key=lambda host: sum(p["incoming"] + p["outgoing"] for p in host_points[host][-60:]), default=None)
return {"type": "telemetry", "now": now, "points": points, "hosts": hosts, "host_points": host_points, "summary": current}
@staticmethod
def _point(bucket: Bucket | None, second: int) -> dict[str, Any]:
if not bucket:
return {"time": second, "incoming": 0, "outgoing": 0, "requests": 0, "status": [0, 0, 0, 0], "latency": None, "p95": None, "upstream": None}
return {"time": second, "incoming": bucket.incoming, "outgoing": bucket.outgoing, "requests": bucket.requests, "status": bucket.statuses, "latency": statistics.fmean(bucket.request_times) if bucket.request_times else None, "p95": percentile(bucket.request_times, .95), "upstream": statistics.fmean(bucket.upstream_times) if bucket.upstream_times else None}
@staticmethod
def _summary(points: list[dict[str, Any]]) -> dict[str, Any]:
seconds = max(1, len(points))
total_requests = sum(point["requests"] for point in points)
statuses = [sum(point["status"][index] for point in points) for index in range(4)]
latencies = [point["latency"] for point in points if point["latency"] is not None]
upstream = [point["upstream"] for point in points if point["upstream"] is not None]
return {"incoming": sum(point["incoming"] for point in points) / seconds, "outgoing": sum(point["outgoing"] for point in points) / seconds, "requests": total_requests / seconds, "status": statuses, "latency": statistics.fmean(latencies) if latencies else None, "p95": percentile(latencies, .95), "upstream": statistics.fmean(upstream) if upstream else None}
async def follow_log(path: str, telemetry: Telemetry, stop: asyncio.Event) -> None:
handle = None
inode = None
pending = ""
while not stop.is_set():
try:
stat = await asyncio.to_thread(os.stat, path)
if handle is None:
handle = await asyncio.to_thread(open, path, "r", encoding="utf-8", errors="replace")
await asyncio.to_thread(handle.seek, 0, os.SEEK_END)
inode = (stat.st_dev, stat.st_ino)
elif inode != (stat.st_dev, stat.st_ino):
# Drain what is currently available from the renamed file before switching.
for line in handle:
event = parse_line(line)
if event:
telemetry.ingest(event)
handle.close()
handle = await asyncio.to_thread(open, path, "r", encoding="utf-8", errors="replace")
inode = (stat.st_dev, stat.st_ino)
# Never join a partial line from the old inode to a new file.
pending = ""
data = await asyncio.to_thread(handle.read)
if data:
pending += data
lines = pending.split("\n")
pending = lines.pop()
for line in lines:
event = parse_line(line)
if event:
telemetry.ingest(event)
await asyncio.sleep(.15)
except FileNotFoundError:
if handle:
data = handle.read()
if data:
pending += data
await asyncio.sleep(.5)
except (OSError, ValueError):
if handle:
handle.close()
handle, inode = None, None
await asyncio.sleep(.5)
if handle:
handle.close()
def create_app(log_path: str = DEFAULT_LOG, retention: int = 3600) -> FastAPI:
telemetry = Telemetry(retention)
stop = asyncio.Event()
app = FastAPI(title="Nginx Live Traffic Monitor")
app.mount("/static", StaticFiles(directory=Path(__file__).parent / "static"), name="static")
@app.on_event("startup")
async def startup() -> None:
app.state.task = asyncio.create_task(follow_log(log_path, telemetry, stop))
app.state.publisher = asyncio.create_task(publish())
@app.on_event("shutdown")
async def shutdown() -> None:
stop.set()
for task in (getattr(app.state, "task", None), getattr(app.state, "publisher", None)):
if task:
task.cancel()
async def publish() -> None:
while not stop.is_set():
payload = json.dumps(telemetry.snapshot(3600), separators=(",", ":"))
with telemetry.lock:
subscribers = list(telemetry.subscribers)
for queue in subscribers:
try:
queue.put_nowait(payload)
except asyncio.QueueFull:
try:
queue.get_nowait()
except asyncio.QueueEmpty:
pass
queue.put_nowait(payload)
await asyncio.sleep(1)
@app.get("/")
async def index() -> FileResponse:
return FileResponse(Path(__file__).parent / "static" / "index.html")
@app.get("/api/telemetry")
async def telemetry_api(window: int = 300) -> dict[str, Any]:
return telemetry.snapshot(max(60, min(window, 3600)))
@app.get("/api/events")
async def events(request: Request, window: int = 300) -> StreamingResponse:
queue = telemetry.subscribe()
initial = json.dumps(telemetry.snapshot(max(60, min(window, 3600))), separators=(",", ":"))
async def stream() -> AsyncIterator[str]:
try:
yield f"data: {initial}\n\n"
while True:
if await request.is_disconnected():
break
try:
payload = await asyncio.wait_for(queue.get(), timeout=15)
yield f"data: {payload}\n\n"
except asyncio.TimeoutError:
yield ": keep-alive\n\n"
finally:
telemetry.unsubscribe(queue)
return StreamingResponse(stream(), media_type="text/event-stream", headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"})
app.state.telemetry = telemetry
return app
def main() -> None:
parser = argparse.ArgumentParser(description="Live Nginx traffic dashboard")
parser.add_argument("--log-path", default=os.getenv("TRAFFIC_LOG_PATH", DEFAULT_LOG))
parser.add_argument("--host", default=os.getenv("LISTEN_ADDRESS", "127.0.0.1"))
parser.add_argument("--port", type=int, default=int(os.getenv("LISTEN_PORT", "8080")))
parser.add_argument("--retention", type=int, default=int(os.getenv("TELEMETRY_RETENTION", "3600")))
args = parser.parse_args()
import uvicorn
uvicorn.run(create_app(args.log_path, args.retention), host=args.host, port=args.port)
if __name__ == "__main__":
main()

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<!doctype html>
<html lang="en" data-theme="system">
<head>
<meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1">
<title>Nginx Live Traffic Monitor</title>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bulma@1.0.2/css/bulma.min.css">
<style>
:root { --chart-grid: #d9e1ea; }
[data-theme="dark"] { --chart-grid: #3b4654; }
body { background: var(--bulma-scheme-main-bis); min-height: 100vh; }
.navbar, .card { background: var(--bulma-scheme-main); }
.chart-wrap { height: 390px; position: relative; }
.metric-value { font-size: 1.35rem; font-weight: 700; white-space: nowrap; }
.metric-label { color: var(--bulma-text-weak); font-size: .75rem; text-transform: uppercase; letter-spacing: .05em; }
.host-list { max-height: 185px; overflow-y: auto; }
.legend-dot { width: .65rem; height: .65rem; display: inline-block; border-radius: 50%; margin-right: .4rem; }
@media (max-width: 768px) { .chart-wrap { height: 280px; } }
</style>
</head>
<body>
<nav class="navbar is-shadowless" role="navigation"><div class="container">
<div class="navbar-brand"><div class="navbar-item"><strong>Nginx Live Traffic</strong></div></div>
<div class="navbar-end"><div class="navbar-item"><div class="select is-small"><select id="theme"><option value="system">System</option><option value="light">Light</option><option value="dark">Dark</option></select></div></div></div>
</div></nav>
<main class="section pt-5"><div class="container">
<div class="level mb-4"><div><h1 class="title is-4 mb-1">Traffic overview</h1><p class="subtitle is-6 mb-0" id="connection">Connecting to telemetry…</p></div>
<div class="field has-addons"><p class="control"><span class="select is-small"><select id="window"><option value="60">1 minute</option><option value="300" selected>5 minutes</option><option value="900">15 minutes</option><option value="3600">1 hour</option></select></span></p></div>
</div>
<div class="columns is-multiline mb-2" id="metrics"></div>
<div class="card mb-5"><div class="card-content"><div class="level mb-3"><div class="level-left"><h2 class="title is-5 mb-0">Throughput</h2></div><div class="level-right"><span class="tag is-light" id="updated">Waiting for data</span></div></div><div class="chart-wrap"><canvas id="traffic-chart"></canvas></div></div></div>
<div class="card"><div class="card-content"><div class="columns"><div class="column is-one-quarter"><h2 class="title is-5">Host breakouts</h2><p class="help mb-3">Select hosts to compare their recent traffic.</p><div id="hosts" class="host-list"></div></div><div class="column"><div class="chart-wrap"><canvas id="host-chart"></canvas></div></div></div></div></div>
</div></main>
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.4/dist/chart.umd.min.js"></script>
<script>
const palette = ['#3273dc','#23d160','#ff3860','#ffdd57','#7957d5','#00d1b2','#f14668','#209cee'];
let selected = new Set(), latest = null, source;
const $ = id => document.getElementById(id);
function bytesPerSecond(value) { const bits = value * 8; if (bits >= 1e9) return (bits/1e9).toFixed(1)+' Gbit/s'; if (bits >= 1e6) return (bits/1e6).toFixed(1)+' Mbit/s'; if (bits >= 1e3) return (bits/1e3).toFixed(1)+' Kbit/s'; return Math.round(bits)+' bit/s'; }
function duration(v) { return v == null ? '—' : v.toFixed(3)+' s'; }
function applyTheme(value) { const actual = value === 'system' ? (matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light') : value; document.documentElement.dataset.theme = actual; document.documentElement.style.colorScheme = actual; if (typeof trafficChart !== 'undefined') { trafficChart.options.scales.x.grid.color = getComputedStyle(document.documentElement).getPropertyValue('--chart-grid'); hostChart.options.scales.x.grid.color = trafficChart.options.scales.x.grid.color; trafficChart.update(); hostChart.update(); } }
function metric(label, value) { return `<div class="column is-half-mobile is-one-quarter-tablet"><div class="card"><div class="card-content py-4"><div class="metric-label">${label}</div><div class="metric-value">${value}</div></div></div></div>`; }
function renderMetrics(s) { const status = s.status.reduce((a,b)=>a+b,0); const errors = status ? ((s.status[2]+s.status[3])/status*100).toFixed(1)+'%' : '0.0%'; $('metrics').innerHTML = metric('Inbound', bytesPerSecond(s.incoming))+metric('Outbound', bytesPerSecond(s.outgoing))+metric('Requests', s.requests.toFixed(1)+'/sec')+metric('Transferred', formatBytes(s.total_incoming+s.total_outgoing))+metric('Avg latency', duration(s.latency))+metric('p95 latency', duration(s.p95))+metric('Upstream avg', duration(s.upstream))+metric('Errors (4xx/5xx)', errors)+metric('Active hosts', s.active_hosts)+metric('Busiest host', s.busiest_host || '—'); }
function formatBytes(n) { const units=['B','KB','MB','GB','TB']; let i=0; while(n>=1000 && i<units.length-1){n/=1000;i++;} return (i? n.toFixed(1):Math.round(n))+' '+units[i]; }
function makeChart(id, datasets) { return new Chart($(id), {type:'line', data:{labels:[],datasets}, options:{animation:false, maintainAspectRatio:false, interaction:{mode:'index',intersect:false}, scales:{x:{grid:{color:getComputedStyle(document.documentElement).getPropertyValue('--chart-grid')},ticks:{maxTicksLimit:8}},y:{beginAtZero:true,ticks:{callback:v=>bytesPerSecond(v)}}}, plugins:{legend:{display:true}}}}); }
const trafficChart = makeChart('traffic-chart',[{label:'Inbound',data:[],borderColor:'#3273dc',backgroundColor:'#3273dc',tension:.25,pointRadius:0},{label:'Outbound',data:[],borderColor:'#23d160',backgroundColor:'#23d160',tension:.25,pointRadius:0}]);
const hostChart = makeChart('host-chart',[]);
function render(data) { latest=data; const windowSize=Number($('window').value); const points=data.points.slice(-windowSize); trafficChart.data.labels=points.map(p=>new Date(p.time*1000).toLocaleTimeString([], {hour:'2-digit',minute:'2-digit',second:'2-digit'})); trafficChart.data.datasets[0].data=points.map(p=>p.incoming); trafficChart.data.datasets[1].data=points.map(p=>p.outgoing); trafficChart.update(); hostChart.data.labels=trafficChart.data.labels; hostChart.data.datasets=[...selected].map((host,i)=>({label:host,data:(data.host_points[host]||[]).slice(-windowSize).map(p=>p.incoming+p.outgoing),borderColor:palette[i%palette.length],tension:.25,pointRadius:0})); hostChart.update(); renderMetrics(data.summary); $('updated').textContent='Updated '+new Date().toLocaleTimeString(); }
function connect() { if(source) source.close(); source=new EventSource('/api/events?window='+$('window').value); source.onopen=()=>{$('connection').textContent='Live · updates every second';}; source.onmessage=e=>render(JSON.parse(e.data)); source.onerror=()=>{$('connection').textContent='Reconnecting…';}; }
function renderHosts(hosts) { $('hosts').innerHTML=hosts.map((host,i)=>`<label class="checkbox is-block mb-2"><input type="checkbox" value="${escapeHtml(host)}" ${selected.has(host)?'checked':''}> <span class="legend-dot" style="background:${palette[i%palette.length]}"></span>${escapeHtml(host)}</label>`).join('') || '<p class="has-text-grey">No hosts observed yet.</p>'; document.querySelectorAll('#hosts input').forEach(input=>input.onchange=()=>{input.checked?selected.add(input.value):selected.delete(input.value); if(latest) render(latest);}); }
function escapeHtml(s) { return s.replace(/[&<>'"]/g,c=>({'&':'&amp;','<':'&lt;','>':'&gt;',"'":'&#39;','"':'&quot;'}[c])); }
const oldRender=render; render=data=>{oldRender(data);renderHosts(data.hosts);};
$('theme').value=localStorage.getItem('nginx-theme')||'system'; applyTheme($('theme').value); $('theme').onchange=()=>{localStorage.setItem('nginx-theme',$('theme').value);applyTheme($('theme').value);}; $('window').onchange=connect; connect();
</script>
</body></html>

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<svg xmlns="http://www.w3.org/2000/svg" width="1200" height="650" viewBox="0 0 1200 650">
<rect width="1200" height="650" fill="#f5f7fa"/>
<rect x="40" y="30" width="1120" height="55" rx="6" fill="#fff" stroke="#d9e1ea"/>
<text x="70" y="66" font-family="sans-serif" font-size="22" font-weight="bold" fill="#363636">Nginx Live Traffic</text>
<rect x="40" y="110" width="1120" height="110" rx="6" fill="#fff" stroke="#d9e1ea"/>
<text x="70" y="145" font-family="sans-serif" font-size="13" fill="#7a7a7a">INBOUND</text><text x="70" y="180" font-family="sans-serif" font-size="26" font-weight="bold" fill="#363636">3.8 Mbit/s</text>
<text x="320" y="145" font-family="sans-serif" font-size="13" fill="#7a7a7a">OUTBOUND</text><text x="320" y="180" font-family="sans-serif" font-size="26" font-weight="bold" fill="#363636">42.3 Mbit/s</text>
<text x="600" y="145" font-family="sans-serif" font-size="13" fill="#7a7a7a">REQUESTS</text><text x="600" y="180" font-family="sans-serif" font-size="26" font-weight="bold" fill="#363636">183/sec</text>
<text x="40" y="275" font-family="sans-serif" font-size="21" font-weight="bold" fill="#363636">Throughput</text>
<rect x="40" y="295" width="1120" height="250" rx="6" fill="#fff" stroke="#d9e1ea"/>
<polyline points="80,480 180,430 280,455 380,370 480,410 580,330 680,390 780,320 880,360 980,300 1080,340" fill="none" stroke="#3273dc" stroke-width="4"/>
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<text x="40" y="610" font-family="sans-serif" font-size="16" fill="#7a7a7a">Screenshot placeholder — run the app to view live data.</text>
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[Unit]
Description=Nginx live traffic monitor
After=network.target nginx.service
[Service]
Type=simple
User=nginx-monitor
Group=nginx-monitor
WorkingDirectory=/opt/nginx-live-traffic-monitor
ExecStart=/opt/nginx-live-traffic-monitor/.venv/bin/nginx-traffic-monitor --host 127.0.0.1 --port 8080
Restart=on-failure
RestartSec=2
NoNewPrivileges=true
PrivateTmp=true
[Install]
WantedBy=multi-user.target

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pyproject.toml Normal file
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[project]
name = "nginx-live-traffic-monitor"
version = "0.1.0"
description = "Small in-memory live traffic dashboard for an Nginx reverse proxy"
requires-python = ">=3.10"
dependencies = ["fastapi>=0.115,<1", "uvicorn[standard]>=0.30,<1"]
[project.optional-dependencies]
test = ["pytest>=8,<9"]
[project.scripts]
nginx-traffic-monitor = "app.main:main"

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requirements.txt Normal file
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fastapi>=0.115,<1
uvicorn[standard]>=0.30,<1

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tests/test_main.py Normal file
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import time
from app.main import Telemetry, parse_line
def test_parse_line_and_multiple_upstreams():
event = parse_line("1720000000.123 example.test GET 200 120 240 0.150 0.100, 0.200")
assert event["host"] == "example.test"
assert event["incoming"] == 120
assert event["upstream_time"] == 0.15
def test_malformed_lines_are_ignored():
assert parse_line("not enough fields") is None
assert parse_line("1 host GET nope 1 2 0.1 -") is None
assert parse_line("1 host GET 600 1 2 0.1 -") is None
def test_telemetry_is_aggregated_and_bounded():
telemetry = Telemetry(60)
base = int(time.time()) - 30
for second in range(70):
telemetry.ingest(parse_line(f"{base + second} host GET 200 10 20 .1 -"))
assert telemetry.total_incoming == 700
assert len(telemetry.global_series.buckets) <= 60
snapshot = telemetry.snapshot(60)
assert snapshot["summary"]["requests"] >= 1
assert snapshot["hosts"] == ["host"]