from prometheus_client import start_http_server, Gauge
import requests
from requests.auth import HTTPBasicAuth
from bs4 import BeautifulSoup

# Router credentials and URL
router_url = '
password = ''

# Prometheus metrics
download_speed = Gauge('router_download_speed', 'Download speed (Mbps)', ['device_name', 'ip_address', 'connection_type'])
upload_speed = Gauge('router_upload_speed', 'Upload speed (Mbps)', ['device_name', 'ip_address', 'connection_type'])
connection_type_metric = Gauge('router_connection_type', 'Connection type', ['device_name', 'ip_address'])

# Function to extract metrics from device information page
def extract_metrics(html_content):
# Parse HTML using BeautifulSoup
soup = BeautifulSoup(html_content, 'html.parser', from_encoding="utf-8")

# Find all devices in the device list
devices = soup.find_all('div', class_='form-internal-content')

# Extract metrics for each device
for device in devices:
device_name = device.find('div', class_='headlineLabel sort_pcname hasui_no').text.strip()

# IP Address
ip_address = device.find('div', class_='var_mdevice_ipv4:').text.strip()

# Download speed
download_speed_value = float(device.find('span', id=lambda x: x and x.startswith('down_speed_')).text.strip())
download_speed.labels(device_name=device_name, ip_address=ip_address, connection_type='').set(download_speed_value)

# Upload speed
upload_speed_value = float(device.find('span', id=lambda x: x and x.startswith('up_speed_:')).text.strip())
upload_speed.labels(device_name=device_name, ip_address=ip_address, connection_type='').set(upload_speed_value)

# Connection type
connection_div = device.find('div', class_=lambda c: c and ('cat_wlan5' in c or 'cat_wlan' in c or 'cat_lan' in c))
if connection_div:
class_name = connection_div.get('class')
if 'cat_wlan5' in class_name:
connection_type = 'wifi 5GHz'
elif 'cat_wlan' in class_name:
connection_type = 'wifi 2.4GHz'
elif 'cat_lan' in class_name:
connection_type = 'Ethernet'
else:
connection_type = 'Unknown'
else:
connection_type = 'Unknown'
connection_type_metric.labels(device_name=device_name, ip_address=ip_address).set(connection_type)

# Function to fetch device information page and update metrics
def update_metrics():
try:
# Session object to persist Cookies
session = requests.Session()

# Login to the router using HTTP Basic Authentication
login_response = session.get(router_url, auth=HTTPBasicAuth('', password))

# Check if login was successful
if login_response.status_code == 200:
# Access the page containing device information
device_info_page = session.get(f'{router_url}/html/content/network/devices.html?lang=de')

# Check if device_info_page was retrieved successfully
if device_info_page.status_code == 200:
# Extract metrics from HTML content
extract_metrics(device_info_page.content)
else:
print(f'Failed to retrieve device information page: {device_info_page.status_code}')
else:
print(f'Login failed: {login_response.status_code}')

# Close the session
session.close()
except Exception as e:
print(f'Error occurred: {str(e)}')

# Start HTTP server to expose metrics
start_http_server(8000) # Expose metrics on port 8000

# Periodically update metrics
while True:
update_metrics()

@viper.de 

Sehr cool. Danke Kannst du mir da noch einen Tipp geben, wie? Ich bin mir sicher, auch schon dafür hier im Forum eine Lösung gelesen zu haben, aber ich finde sie nicht mehr.  Aktuell erhalte ich folgenden Output

import base64
import json
import requests

def fetch_data():
url = 'http://192.168.2.1/data/devicelist.json'
response = requests.get(url)

if response.status_code == 200:
try:
data = response.text

# Add missing padding if necessary
padded_data = data
missing_padding = len(padded_data) % 4
if missing_padding:
padded_data += '=' * (4 - missing_padding)

# Decode the base64 encoded data
decoded_data = base64.b64decode(padded_data)

try:
# Try to decode with utf-8
text_data = decoded_data.decode('utf-8')
except UnicodeDecodeError:
# If utf-8 fails, try with latin-1
text_data = decoded_data.decode('latin-1')

print("Decoded text data:")
print(text_data)

# Attempt to load the JSON data
try:
# Load the JSON data
json_data = json.loads(text_data)
return json.dumps(json_data, indent=4) # Convert JSON data to readable string
except json.JSONDecodeError as e:
print(f"Error decoding JSON: {e}")
return None
except Exception as e:
print(f"Error processing data: {e}")
return None
else:
print(f"Failed to fetch data, status code: {response.status_code}")
return None

if __name__ == "__main__":
data = fetch_data()
if data:
print(data)





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(probier ob es Dich weiterbringt)