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Simon Bußmann
2026-02-23 02:29:50 +01:00
parent 8a0e48b3cb
commit 77c1615675
16 changed files with 1671 additions and 838 deletions
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4
.gitignore vendored
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@@ -1,5 +1,5 @@
__pycache__ __pycache__
config.py
speedtest.db
.venv .venv
nohup.out nohup.out
data
.env

36
Dockerfile
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@@ -1,36 +0,0 @@
# Use a lightweight Python base image
FROM python:3.13-slim
# Set environment variables to prevent Python from writing pyc files
# and to flush stdout/stderr immediately (useful for docker logs)
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
# Set the working directory
WORKDIR /app
RUN apt-get update && \
apt-get install -y git && \
rm -rf /var/lib/apt/lists/*
# Install dependencies first (for better caching)
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the rest of the application code
COPY . .
# Create a directory for the database mount (optional but good for clarity)
RUN mkdir -p /data
# Default environment variable for the database path inside the container
ENV DB_PATH="/data/speedtest.db"
ENV PORT=5000
# Expose the port the app runs on
EXPOSE 5000
# Run using Gunicorn
# -b 0.0.0.0:5000: Bind to all interfaces on port 5000
# --access-logfile -: Log access to stdout
CMD ["gunicorn", "--workers", "1", "--bind", "0.0.0.0:5000", "--access-logfile", "-", "app:app"]

148
app.py
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@@ -1,148 +0,0 @@
import os
import time
from datetime import datetime
from flask import Flask, render_template, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import text
app = Flask(__name__)
# connect to your existing database file
# ensure the path is correct relative to where you run this script
db_path = os.path.join(os.getcwd(), 'speedtest.db')
app.config['SQLALCHEMY_DATABASE_URI'] = f'sqlite:///{db_path}'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
# Reflect the existing table explicitly to match your schema
class SpeedTest(db.Model):
__tablename__ = 'speed_tests'
id = db.Column(db.Integer, primary_key=True)
timestamp = db.Column(db.Float, nullable=False)
failed = db.Column(db.Boolean, nullable=False)
isp = db.Column(db.String)
ip = db.Column(db.String)
location_code = db.Column(db.String)
location_city = db.Column(db.String)
location_region = db.Column(db.String)
latency = db.Column(db.Float)
jitter = db.Column(db.Float)
down_100kB = db.Column(db.Float)
down_1MB = db.Column(db.Float)
down_10MB = db.Column(db.Float)
down_25MB = db.Column(db.Float)
down_90th = db.Column(db.Float) # We will graph this
up_100kB = db.Column(db.Float)
up_1MB = db.Column(db.Float)
up_10MB = db.Column(db.Float)
up_90th = db.Column(db.Float) # We will graph this
@app.route('/')
def index():
return render_template('index.html')
@app.route('/api/hourly_stats')
def get_hourly_stats():
# We use raw SQL for efficiency and to easily extract the hour from the timestamp
# strftime('%H') works on the unix timestamp if we convert it first
# SQLite: strftime('%H', datetime(timestamp, 'unixepoch'))
sql = text("""
SELECT
strftime('%H', datetime(timestamp, 'unixepoch', 'localtime')) as hour,
AVG(down_90th) as avg_down,
AVG(up_90th) as avg_up,
COUNT(*) as count
FROM speed_tests
WHERE failed = 0
GROUP BY hour
ORDER BY hour ASC
""")
result = db.session.execute(sql)
data = []
for row in result:
data.append({
'hour': row[0], # 00, 01, ... 23
'down': row[1],
'up': row[2],
'count': row[3]
})
return jsonify(data)
@app.route('/api/data')
def get_data():
# Get start/end dates from query params (defaults to last 24h if missing)
start_str = request.args.get('start')
end_str = request.args.get('end')
# Default to last 7 days if no filter provided
now = time.time()
if start_str and end_str:
# Convert string 'YYYY-MM-DD' to unix timestamp
start_ts = datetime.strptime(start_str, '%Y-%m-%d').timestamp()
end_ts = datetime.strptime(end_str, '%Y-%m-%d').timestamp() + 86400 # Include the full end day
else:
start_ts = now - (7 * 24 * 60 * 60)
end_ts = now
# Query the database
query = SpeedTest.query.filter(
SpeedTest.timestamp >= start_ts,
SpeedTest.timestamp <= end_ts
).order_by(SpeedTest.timestamp.asc())
results = query.all()
# Process data for JSON response
data = []
total_tests = 0
failed_tests = 0
total_down = 0
total_up = 0
count_valid_speed = 0
for r in results:
total_tests += 1
if r.failed:
failed_tests += 1
# Format timestamp for JS (milliseconds)
ts_ms = r.timestamp * 1000
# Only include successful speeds in averages
if not r.failed and r.down_90th is not None and r.up_90th is not None:
total_down += r.down_90th
total_up += r.up_90th
count_valid_speed += 1
data.append({
'timestamp': ts_ms,
'readable_date': datetime.fromtimestamp(r.timestamp).strftime('%Y-%m-%d %H:%M'),
'down': r.down_90th,
'up': r.up_90th,
'failed': r.failed,
'latency': r.latency,
'isp': r.isp
})
# Calculate Averages and Uptime
uptime_pct = ((total_tests - failed_tests) / total_tests * 100) if total_tests > 0 else 0
avg_down = (total_down / count_valid_speed) if count_valid_speed > 0 else 0
avg_up = (total_up / count_valid_speed) if count_valid_speed > 0 else 0
return jsonify({
'rows': data,
'stats': {
'uptime': round(uptime_pct, 2),
'avg_down': round(avg_down, 2),
'avg_up': round(avg_up, 2),
'total_tests': total_tests
}
})
if __name__ == '__main__':
app.run(debug=True)

28
docker-compose.yml Normal file
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@@ -0,0 +1,28 @@
services:
speedtest:
build: ./measurement
container_name: speedtest
restart: unless-stopped
network_mode: host # needed for get_mac_address ARP lookup
volumes:
- sqlite-data:/data
environment:
- DB_PATH=/data/speedtest.db
- ROUTER_MAC=${ROUTER_MAC}
grafana:
image: grafana/grafana:latest
container_name: grafana
restart: unless-stopped
ports:
- "${GRAFANA_PORT}:3000"
environment:
- GF_SECURITY_ADMIN_USER=${GRAFANA_ADMIN_USER}
- GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD}
- GF_INSTALL_PLUGINS=frser-sqlite-datasource
volumes:
- sqlite-data:/data:ro
- ./provisioning:/etc/grafana/provisioning
volumes:
sqlite-data:

10
grafana/provisioning/dashboards/dashboard.yml Normal file
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@@ -0,0 +1,10 @@
apiVersion: 1
providers:
- name: Speed Tests
type: file
updateIntervalSeconds: 30
allowUiUpdates: true
options:
path: /etc/grafana/provisioning/dashboards
foldersFromFilesStructure: false

1598
grafana/provisioning/dashboards/speed_tests.json Normal file
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11
grafana/provisioning/datasources/sqlite.yml Normal file
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@@ -0,0 +1,11 @@
apiVersion: 1
datasources:
- name: SQLite
type: frser-sqlite-datasource
uid: speed-tests-sqlite
access: proxy
isDefault: true
jsonData:
path: /var/lib/grafana/data/speedtest.db
editable: true

14
measurement/Dockerfile Normal file
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@@ -0,0 +1,14 @@
FROM python:3.12-slim
RUN apt-get update && apt-get install -y cron && rm -rf /var/lib/apt/lists/*
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
COPY crontab /etc/cron.d/speedtest
RUN chmod 0644 /etc/cron.d/speedtest && crontab /etc/cron.d/speedtest
CMD ["cron", "-f"]

3
measurement/config.py Normal file
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@@ -0,0 +1,3 @@
import os
DB_PATH = os.get_env("DB_PATH")

1
measurement/crontab Normal file
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@@ -0,0 +1 @@
*/15 * * * * cd /app && python run_speedtest.py >> /proc/1/fd/1 2>> /proc/1/fd/2

0
db.py → measurement/db.py
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18
requirements.txt → measurement/requirements.txt
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@@ -2,14 +2,8 @@
# uv export --format requirements-txt -o requirements.txt --no-hashes # uv export --format requirements-txt -o requirements.txt --no-hashes
blinker==1.9.0 blinker==1.9.0
# via flask # via flask
certifi==2025.11.12
# via requests
charset-normalizer==3.4.4
# via requests
click==8.3.1 click==8.3.1
# via flask # via flask
cloudflarepycli @ git+https://github.com/cato447/cloudflarepycli@26477fb5511839648a774f1685426925b5b44311
# via speed-logger
colorama==0.4.6 ; sys_platform == 'win32' colorama==0.4.6 ; sys_platform == 'win32'
# via click # via click
flask==3.1.2 flask==3.1.2
@@ -18,8 +12,6 @@ getmac==0.9.5
# via speed-logger # via speed-logger
gunicorn==23.0.0 gunicorn==23.0.0
# via speed-logger # via speed-logger
idna==3.11
# via requests
itsdangerous==2.2.0 itsdangerous==2.2.0
# via flask # via flask
jinja2==3.1.6 jinja2==3.1.6
@@ -35,21 +27,19 @@ packaging==25.0
# via gunicorn # via gunicorn
pandas==2.3.3 pandas==2.3.3
# via speed-logger # via speed-logger
prometheus-client==0.23.1
# via speed-logger
python-dateutil==2.9.0.post0 python-dateutil==2.9.0.post0
# via pandas # via pandas
pytz==2025.2 pytz==2025.2
# via # via
# pandas # pandas
# speed-logger # speed-logger
requests==2.32.5
# via cloudflarepycli
six==1.17.0 six==1.17.0
# via python-dateutil # via python-dateutil
tzdata==2025.3 tzdata==2025.3
# via pandas # via pandas
urllib3==2.6.2
# via requests
werkzeug==3.1.4 werkzeug==3.1.4
# via flask # via flask
sqlalchemy==2.0.46
# via flask-sqlalchemy
flask-sqlalchemy==3.1.1
# via speed-logger

6
run_speedtest.py → measurement/run_speedtest.py
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@@ -1,13 +1,7 @@
from cfspeedtest import CloudflareSpeedtest from cfspeedtest import CloudflareSpeedtest
from db import init_db, insert_result from db import init_db, insert_result
from getmac import get_mac_address
from config import ROUTER_MAC
def run_test_and_save(): def run_test_and_save():
if get_mac_address(ip="192.168.0.1") != ROUTER_MAC:
print(get_mac_address(ip="192.168.0.1"), ROUTER_MAC)
print("Not connected to home network")
return
try: try:
tester = CloudflareSpeedtest() tester = CloudflareSpeedtest()
results = tester.run_all(megabits=True) # returns SuiteResults results = tester.run_all(megabits=True) # returns SuiteResults

6
pyproject.toml
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@@ -6,13 +6,7 @@ readme = "README.md"
requires-python = ">=3.13" requires-python = ">=3.13"
dependencies = [ dependencies = [
"cloudflarepycli", "cloudflarepycli",
"flask>=3.1.0",
"flask-sqlalchemy>=3.1.1",
"getmac>=0.9.5", "getmac>=0.9.5",
"gunicorn>=23.0.0",
"pandas>=2.2.3",
"prometheus-client>=0.21.1",
"pytz>=2025.2",
] ]
[tool.uv.sources] [tool.uv.sources]

232
templates/index.html
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@@ -1,232 +0,0 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Speed Test Dashboard</title>
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-date-fns"></script>
<style>
body { font-family: sans-serif; padding: 20px; background: #f4f4f9; }
.controls { background: white; padding: 15px; border-radius: 8px; margin-bottom: 20px; display: flex; gap: 10px; align-items: center;}
.cards { display: grid; grid-template-columns: repeat(3, 1fr); gap: 20px; margin-bottom: 20px; }
.card { background: white; padding: 20px; border-radius: 8px; text-align: center; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }
.card h3 { margin: 0 0 10px 0; color: #666; font-size: 0.9em; text-transform: uppercase; }
.card .value { font-size: 1.8em; font-weight: bold; color: #333; }
.chart-container { background: white; padding: 20px; border-radius: 8px; margin-bottom: 20px; height: 400px; }
table { width: 100%; border-collapse: collapse; background: white; border-radius: 8px; overflow: hidden; }
th, td { padding: 12px; text-align: left; border-bottom: 1px solid #eee; }
th { background: #007bff; color: white; }
.failed-row { background-color: #ffe6e6; color: #b30000; }
</style>
</head>
<body>
<div class="controls">
<label>From: <input type="date" id="startDate"></label>
<label>To: <input type="date" id="endDate"></label>
<button onclick="fetchData()">Update Dashboard</button>
</div>
<div class="cards">
<div class="card">
<h3>Uptime</h3>
<div class="value" id="uptimeVal">--%</div>
</div>
<div class="card">
<h3>Avg Download</h3>
<div class="value" id="avgDownVal">-- Mbps</div>
</div>
<div class="card">
<h3>Avg Upload</h3>
<div class="value" id="avgUpVal">-- Mbps</div>
</div>
</div>
<div class="chart-container">
<canvas id="speedChart"></canvas>
</div>
<div class="chart-container" style="margin-top: 20px;">
<h3>Average Speed by Hour of Day (0-24h)</h3>
<canvas id="hourlyChart"></canvas>
</div>
<h3>Detailed Logs</h3>
<table>
<thead>
<tr>
<th>Time</th>
<th>ISP</th>
<th>Download (90th)</th>
<th>Upload (90th)</th>
<th>Latency</th>
<th>Status</th>
</tr>
</thead>
<tbody id="tableBody">
</tbody>
</table>
<script>
let chartInstance = null;
async function fetchData() {
const start = document.getElementById('startDate').value;
const end = document.getElementById('endDate').value;
let url = '/api/data';
if(start && end) {
url += `?start=${start}&end=${end}`;
}
const response = await fetch(url);
const data = await response.json();
updateStats(data.stats);
updateChart(data.rows);
updateTable(data.rows);
}
function updateStats(stats) {
document.getElementById('uptimeVal').innerText = stats.uptime + '%';
document.getElementById('avgDownVal').innerText = stats.avg_down + ' Mbps';
document.getElementById('avgUpVal').innerText = stats.avg_up + ' Mbps';
}
function updateTable(rows) {
const tbody = document.getElementById('tableBody');
tbody.innerHTML = '';
// Show last 50 rows for performance (reverse order)
const recentRows = rows.slice().reverse().slice(0, 100);
recentRows.forEach(row => {
const tr = document.createElement('tr');
if(row.failed) tr.classList.add('failed-row');
tr.innerHTML = `
<td>${row.readable_date}</td>
<td>${row.isp || 'N/A'}</td>
<td>${row.down ? row.down.toFixed(2) : '-'}</td>
<td>${row.up ? row.up.toFixed(2) : '-'}</td>
<td>${row.latency ? row.latency.toFixed(2) + 'ms' : '-'}</td>
<td>${row.failed ? 'FAILED' : 'OK'}</td>
`;
tbody.appendChild(tr);
});
}
function updateChart(rows) {
const ctx = document.getElementById('speedChart').getContext('2d');
// Prepare data for Chart.js
const downData = rows.filter(r => !r.failed).map(r => ({x: r.timestamp, y: r.down}));
const upData = rows.filter(r => !r.failed).map(r => ({x: r.timestamp, y: r.up}));
if (chartInstance) {
chartInstance.destroy();
}
chartInstance = new Chart(ctx, {
type: 'line',
data: {
datasets: [
{
label: 'Download (90th)',
data: downData,
borderColor: '#007bff',
tension: 0.1
},
{
label: 'Upload (90th)',
data: upData,
borderColor: '#28a745',
tension: 0.1
}
]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
type: 'time',
time: { unit: 'day' },
title: { display: true, text: 'Date' }
},
y: {
title: { display: true, text: 'Speed (Mbps)' },
beginAtZero: true
}
}
}
});
}
// Set default dates (past 7 days) and load
window.onload = function() {
const today = new Date();
const lastWeek = new Date();
lastWeek.setDate(today.getDate() - 7);
document.getElementById('endDate').valueAsDate = today;
document.getElementById('startDate').valueAsDate = lastWeek;
fetchData();
fetchHourlyData();
};
async function fetchHourlyData() {
const response = await fetch('/api/hourly_stats');
const data = await response.json();
const ctx = document.getElementById('hourlyChart').getContext('2d');
new Chart(ctx, {
type: 'bar', // Bar chart is better for comparing buckets
data: {
labels: data.map(d => d.hour + ":00"),
datasets: [
{
label: 'Avg Download (Mbps)',
data: data.map(d => d.down),
backgroundColor: 'rgba(0, 123, 255, 0.7)',
},
{
label: 'Avg Upload (Mbps)',
data: data.map(d => d.up),
backgroundColor: 'rgba(40, 167, 69, 0.7)',
}
]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
y: { beginAtZero: true, title: { display: true, text: 'Mbps' } }
},
plugins: {
annotation: {
annotations: {
box1: {
// Highlight the 1pm - 11pm danger zone
type: 'box',
xMin: 13,
xMax: 23,
backgroundColor: 'rgba(255, 99, 132, 0.1)',
borderWidth: 0,
label: { content: 'Problem Area', enabled: true }
}
}
}
}
}
});
}
// Call this function in window.onload along with your existing fetchData()
// window.onload = function() { ... fetchHourlyData(); ... }
</script>
</body>
</html>

394
uv.lock generated
View File

@@ -2,15 +2,6 @@ version = 1
revision = 2 revision = 2
requires-python = ">=3.13" requires-python = ">=3.13"
[[package]]
name = "blinker"
version = "1.9.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/21/28/9b3f50ce0e048515135495f198351908d99540d69bfdc8c1d15b73dc55ce/blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf", size = 22460, upload-time = "2024-11-08T17:25:47.436Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/10/cb/f2ad4230dc2eb1a74edf38f1a38b9b52277f75bef262d8908e60d957e13c/blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc", size = 8458, upload-time = "2024-11-08T17:25:46.184Z" },
]
[[package]] [[package]]
name = "certifi" name = "certifi"
version = "2025.11.12" version = "2025.11.12"
@@ -61,18 +52,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/0a/4c/925909008ed5a988ccbb72dcc897407e5d6d3bd72410d69e051fc0c14647/charset_normalizer-3.4.4-py3-none-any.whl", hash = "sha256:7a32c560861a02ff789ad905a2fe94e3f840803362c84fecf1851cb4cf3dc37f", size = 53402, upload-time = "2025-10-14T04:42:31.76Z" }, { url = "https://files.pythonhosted.org/packages/0a/4c/925909008ed5a988ccbb72dcc897407e5d6d3bd72410d69e051fc0c14647/charset_normalizer-3.4.4-py3-none-any.whl", hash = "sha256:7a32c560861a02ff789ad905a2fe94e3f840803362c84fecf1851cb4cf3dc37f", size = 53402, upload-time = "2025-10-14T04:42:31.76Z" },
] ]
[[package]]
name = "click"
version = "8.3.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "colorama", marker = "sys_platform == 'win32'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/3d/fa/656b739db8587d7b5dfa22e22ed02566950fbfbcdc20311993483657a5c0/click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a", size = 295065, upload-time = "2025-11-15T20:45:42.706Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/98/78/01c019cdb5d6498122777c1a43056ebb3ebfeef2076d9d026bfe15583b2b/click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6", size = 108274, upload-time = "2025-11-15T20:45:41.139Z" },
]
[[package]] [[package]]
name = "cloudflarepycli" name = "cloudflarepycli"
version = "2.1.0" version = "2.1.0"
@@ -81,45 +60,6 @@ dependencies = [
{ name = "requests" }, { name = "requests" },
] ]
[[package]]
name = "colorama"
version = "0.4.6"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" }
wheels = [
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]
[[package]]
name = "flask"
version = "3.1.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "blinker" },
{ name = "click" },
{ name = "itsdangerous" },
{ name = "jinja2" },
{ name = "markupsafe" },
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