I had a lot of line trouble lately. I knew the router provided the stats but it doesn't do anything with them. I wanted to visually check the line stats and be able to look as the history of the line. Prometheus and Grafana seemed the best idea as i had these already in use watching my docker container stats.
A python script to read the detailed DrayTek router stats. You can think of this as a proxy to the router stats for Prometheus.
The following stats are recorded and presented as Open Metrics (Prometheus) stats (those that can be used as counters and gauges)
> vdsl status more
---------------------- ATU-R Info (hw: annex A, f/w: annex A/B/C) -----------
Near End Far End Note
Trellis : 1 1
Bitswap : 1 1
ReTxEnable : 1 1
VirtualNoise : 0 0
20BitSupport : 0 0
LatencyPath : 0 0
LOS : 0 0
LOF : 0 0
LPR : 0 0
LOM : 0 0
SosSuccess : 0 0
NCD : 0 0
LCD : 0 0
FECS : 0 2575 (seconds)
ES : 35 3 (seconds)
SES : 3 1 (seconds)
LOSS : 0 0 (seconds)
UAS : 27 1861 (seconds)
HECError : 0 0
CRC : 126 31
RsCorrection : 0 0
INP : 230 160 (symbols)
InterleaveDelay : 0 62 (1/100 ms)
NFEC : 32 32
RFEC : 16 16
LSYMB : 16 16
INTLVBLOCK : 32 32
AELEM : 0 ----
The script requires some environment variables to be loaded, i do this in docker using a .env config file:
IP=192.168.0.1
USERNAME=admin
PASSWORD=password
SERVER_PORT=8081
METRICS_PORT=8001
TELNET_CMD=/usr/bin/telnet
SPAWN_TIMEOUT=5
The script spawns a telnet connection to the router to gather the stats from the CLI (It could be easily changed to use SSH) It does this in around 1/2second. Which is plenty fast enough for me.
The remote prometheus call to /metrics, fires off the telnet request, so this will poll as fast as you want it to. I am doing this every 5mins.
The bulk of the work is done by Python Expect (to gather the stats), Template Text Parser (to parse the stats) and of course the Prometheus Python Client (to make them available to Prometheus).
Set as a target as normal.
- job_name: router_stats
honor_timestamps: true
scrape_interval: 5m
scrape_timeout: 10s
metrics_path: /metrics
scheme: http
static_configs:
- targets:
- 192.168.0.1:8003
A grafana dashboard is included. Import as normal. It is a work in progress. You can see in the graph image above the blip we had at around 9pm - this is where we noticed slight buffering on the TV and the router sent an email alert that the line was down.
There is a docker-compose file which creates a docker image (from the included Dockerfile). This is how i prefer to run my homegrown software. It runs at around 134MB based on python3:slim. You may find it useful.