Révision 17e0fce8
DOCSIS status monitoring
MUNIN Plugin to monitor status of Arris TG3442 / TG2492LG-85 and compatible cable modems
| plugins/router/arris-tg3442 | ||
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#!/usr/bin/env python3 |
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""" |
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# MUNIN Plugin to monitor status of Arris TG3442 / TG2492LG-85 |
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# and compatible cable modems |
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# |
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# Connect to the web-frontend and get current DOCSIS status of upstream and |
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# downstream channels. (Signal Power, SNR, Lock Status) |
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# |
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# |
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# Requirements: |
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# - BeautifulSoup |
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# - pycryptodome |
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# |
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# Configuration: |
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# [arris] |
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# env.url http://192.168.100.1 |
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# env.username admin |
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# env.password yourpassword |
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# |
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# Parameters: |
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# url - URL to web-frontend |
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# username - defaults to "admin" |
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# password - valid password |
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# |
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# |
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# References: https://www.arris.com/products/touchstone-tg3442-cable-voice-gateway/ |
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# |
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# |
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# |
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# Copyright (c) 2019 Daniel Hiepler <d-munin@coderdu.de> |
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# |
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# Permission to use, copy, and modify this software with or without fee |
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# is hereby granted, provided that this entire notice is included in |
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# all source code copies of any software which is or includes a copy or |
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# modification of this software. |
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# |
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# THIS SOFTWARE IS BEING PROVIDED "AS IS", WITHOUT ANY EXPRESS OR |
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# IMPLIED WARRANTY. IN PARTICULAR, NONE OF THE AUTHORS MAKES ANY |
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# REPRESENTATION OR WARRANTY OF ANY KIND CONCERNING THE |
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# MERCHANTABILITY OF THIS SOFTWARE OR ITS FITNESS FOR ANY PARTICULAR |
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# PURPOSE. |
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# |
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# |
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# Magic markers |
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# #%# family=contrib |
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""" |
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import binascii |
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from bs4 import BeautifulSoup |
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from Crypto.Cipher import AES |
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import hashlib |
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import json |
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import re |
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import requests |
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import sys |
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import os |
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def login(session, url, username, password): |
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"""login to """ |
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# get login page |
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r = session.get(f"{url}")
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# parse HTML |
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h = BeautifulSoup(r.text, "lxml") |
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# get session id from javascript in head |
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current_session_id = re.search(r".*var currentSessionId = '(.+)';.*", h.head.text)[1] |
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# encrypt password |
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salt = os.urandom(8) |
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iv = os.urandom(8) |
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key = hashlib.pbkdf2_hmac( |
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'sha256', |
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bytes(password.encode("ascii")),
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salt, |
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iterations=1000, |
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dklen=128/8 |
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) |
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secret = { "Password": password, "Nonce": current_session_id }
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plaintext = bytes(json.dumps(secret).encode("ascii"))
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associated_data = "loginPassword" |
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# initialize cipher |
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cipher = AES.new(key, AES.MODE_CCM, iv) |
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# set associated data |
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cipher.update(bytes(associated_data.encode("ascii")))
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# encrypt plaintext |
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encrypt_data = cipher.encrypt(plaintext) |
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# append digest |
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encrypt_data += cipher.digest() |
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# return |
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login_data = {
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'EncryptData': binascii.hexlify(encrypt_data).decode("ascii"),
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'Name': username, |
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'Salt': binascii.hexlify(salt).decode("ascii"),
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'Iv': binascii.hexlify(iv).decode("ascii"),
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'AuthData': associated_data |
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} |
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# login |
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r = session.put( |
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f"{url}/php/ajaxSet_Password.php",
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headers={
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"Content-Type": "application/json", |
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"csrfNonce": "undefined" |
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}, |
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data=json.dumps(login_data) |
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) |
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# parse result |
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result = json.loads(r.text) |
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# success? |
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if result['p_status'] == "Fail": |
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print("login failure", file=sys.stderr)
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exit(-1) |
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# remember CSRF nonce |
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csrf_nonce = result['nonce'] |
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# prepare headers |
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session.headers.update({
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"X-Requested-With": "XMLHttpRequest", |
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"csrfNonce": csrf_nonce, |
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"Origin": f"{url}/",
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"Referer": f"{url}/"
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}) |
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# set credentials cookie |
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session.cookies.set( |
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"credential", |
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"eyAidW5pcXVlIjoiMjgwb2FQU0xpRiIsICJmYW1pbHkiOiI4NTIiLCAibW9kZWxuYW1lIjoiV" |
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"EcyNDkyTEctODUiLCAibmFtZSI6InRlY2huaWNpYW4iLCAidGVjaCI6dHJ1ZSwgIm1vY2EiOj" |
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"AsICJ3aWZpIjo1LCAiY29uVHlwZSI6IldBTiIsICJnd1dhbiI6ImYiLCAiRGVmUGFzc3dkQ2h" |
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"hbmdlZCI6IllFUyIgfQ==" |
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) |
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# set session |
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r = session.post(f"{url}/php/ajaxSet_Session.php")
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def docsis_status(session): |
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"""get current DOCSIS status page, parse and return channel data""" |
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r = session.get(f"{url}/php/status_docsis_data.php")
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# extract json from javascript |
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json_downstream_data = re.search(r".*json_dsData = (.+);.*", r.text)[1] |
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json_upstream_data = re.search(r".*json_usData = (.+);.*", r.text)[1] |
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# parse json |
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downstream_data = json.loads(json_downstream_data) |
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upstream_data = json.loads(json_upstream_data) |
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# convert lock status to numeric values |
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for d in [ upstream_data, downstream_data ]: |
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for c in d: |
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if c['LockStatus'] == "ACTIVE" or c['LockStatus'] == "Locked": |
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c['LockStatus'] = 1 |
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else: |
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c['LockStatus'] = 0 |
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return downstream_data, upstream_data |
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# ----------------------------------------------------------------------------- |
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if __name__ == "__main__": |
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# get config |
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url = os.getenv("url")
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username = os.getenv("username")
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password = os.getenv("password")
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# validate config |
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if not url or not username or not password: |
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print("Set url, username and password first.", file=sys.stderr)
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exit(1) |
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# create session |
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session = requests.Session() |
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# login with username and password |
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login(session, url, username, password) |
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# get DOCSIS status |
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downstream, upstream = docsis_status(session) |
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# prepare munin graph info |
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graph_descriptions = [ |
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{
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"name": "up_signal", |
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"title": "DOCSIS Upstream signal strength", |
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"vlabel": "dBmV", |
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"info": "DOCSIS upstream signal strength by channel", |
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"data": upstream, |
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"key": "PowerLevel" |
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}, |
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{
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"name": "up_lock", |
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"title": "DOCSIS Upstream lock", |
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"vlabel": "locked", |
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"info": "DOCSIS upstream channel lock status", |
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"data": upstream, |
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"key": "LockStatus" |
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}, |
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{
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"name": "down_signal", |
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"title": "DOCSIS Downstream signal strength", |
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"vlabel": "dBmV", |
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"info": "DOCSIS downstream signal strength by channel", |
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"data": downstream, |
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"key": "PowerLevel" |
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}, |
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{
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"name": "down_lock", |
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"title": "DOCSIS Downstream lock", |
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"vlabel": "locked", |
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"info": "DOCSIS downstream channel lock status", |
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"data": downstream, |
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"key": "LockStatus" |
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}, |
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{
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"name": "down_snr", |
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"title": "DOCSIS Downstream signal/noise ratio", |
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"vlabel": "dB", |
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"info": "SNR/MER", |
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"data": downstream, |
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"key": "SNRLevel" |
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} |
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] |
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# configure ? |
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if len(sys.argv) > 1 and "config" in sys.argv[1]: |
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# process all graphs |
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for g in graph_descriptions: |
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# graph config |
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print( |
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f"multigraph docsis_{g['name']}\n"
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f"graph_title {g['title']}\n" \
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f"graph_category network\n" \ |
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f"graph_vlabel {g['vlabel']}\n" \
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f"graph_info {g['info']}\n" \
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f"graph_scale no\n" |
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) |
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# channels |
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for c in g['data']: |
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# only use channels with PowerLevel |
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if not c['PowerLevel']: |
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continue |
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print( |
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f"channel_{c['ChannelID']}.label {c['ChannelID']} ({c['Frequency']} MHz)\n"
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f"channel_{c['ChannelID']}.info Channel type: {c['ChannelType']}, Modulation: {c['Modulation']}"
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) |
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# output values ? |
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else: |
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# process all graphs |
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for g in graph_descriptions: |
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print(f"multigraph docsis_{g['name']}")
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# channels |
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for c in g['data']: |
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# only use channels with PowerLevel |
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if not c['PowerLevel']: |
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continue |
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print(f"channel_{c['ChannelID']}.value {c[g['key']]}")
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Formats disponibles : Unified diff