3D printer speed monitoring dashboard for Klipper.

• Klipper w/ Moonraker (already installed if you're using Fluidd or Mainsail); use KIAUH to install it
• InfluxDB 2 (the metrics database)
  • An auth token you generate
• Grafana (tested on Grafana 10, but should work with older ones just fine)
• Python

This can run on any computer with Python on it, and it'll interface with both your printer and your metrics db (InfluxDB)

• Copy .env.template to .env, edit the file

# Example config
export INFLUXDB_URL="http://influxdb.local:8086"  # url to your InfluxDB instance
export INFLUXDB_TOKEN="bunch of numbers and characters"  # token you generate in the InfluxDB UI
export INFLUXDB_BUCKET="moonraker"
export INFLUXDB_ORG="home"
export BASE_MOONRAKER_HOST="klipper.local:7125"  # IP of your RaspberryPi (or anything else) running Klipper

• Install python dependencies:

$ pip install -r requirements.txt

• Run the script

$ source .env  # unrelated to Python virtualenv! You can use venv just fine
$ python ws_client.py
> Subscribed successfully

• Import dashboard.json to your grafana instance

• Q: Fluidd already supports speed diagnostics, why would I need this?
• A: Fluidd metrics live in your browser tab. Soon as you turn it off, they're lost. This allows you to revisit previous prints to compare and contrast any improvements you're making.

• Grafana Live setup for the Live speed panel; MQTT broker sending data to both influx and grafana
  • Should load historical data first, then start loading live data on top, if possible
• Adapters for writing to metrics DBs other than Influx