Giter Site home page Giter Site logo

system_sensors's Introduction

RPI System sensors

GitHub Release License

Project Maintenance GitHub Activity

Community Forum

I’ve created a simple python script that runs every 60 seconds and sends several system data over MQTT. It uses the MQTT Discovery for Home Assistant so you don’t need to configure anything in Home Assistant if you have discovery enabled for MQTT

It currently logs the following data:

  • CPU usage
  • CPU temperature
  • CPU Clock Speed
  • Disk usage
  • Memory usage
  • Power status of the RPI
  • Last boot
  • Last message received timestamp
  • Swap usage
  • Wifi signal strength
  • Wifi connected SSID
  • Amount of upgrades pending
  • Disk usage of external drives
  • Hostname
  • Host local IP
  • Host OS distro and version
  • CPU Load (1min, 5min and 15min)
  • Network Download & Upload throughput

System Requirements

You need to have at least python 3.6 installed to use System Sensors.

Installation:

  1. Clone this repo >> git clone https://github.com/Sennevds/system_sensors.git
  2. cd system_sensors
  3. pip3 install -r requirements.txt
  4. sudo apt-get install python3-apt
  5. Edit settings_example.yaml in "~/system_sensors/src" to reflect your setup and save as settings.yaml:
Value Required Default Description
mqtt true \ Details of the MQTT broker
mqtt:hostname true \ Hostname of the MQTT broker
mqtt:port false 1883 Port of the MQTT broker
mqtt:user false \ The userlogin( if defined) for the MQTT broker
mqtt:password false \ the password ( if defined) for the MQTT broker
deviceName true \ device name is sent with topic
client_id true \ client id to connect to the MQTT broker
timezone true \ Your local timezone (you can find the list of timezones here: time zones)
power_integer_state(Deprecated) false false Deprecated
update_interval false 60 The update interval to send new values to the MQTT broker
sensors false \ Enable/disable individual sensors (see example settings.yaml for how-to). Default is true for all sensors.
  1. python3 src/system_sensors.py src/settings.yaml
  2. (optional) create service to autostart the script at boot:
    1. sudo cp example_system_sensors.service /etc/systemd/system/system_sensors.service
    2. edit the path to your script path and settings.yaml. Also make sure you replace pi in "User=pi" with the account from which this script will be run. This is typically 'pi' on default raspbian system.
    3. sudo systemctl enable system_sensors.service
    4. sudo systemctl start system_sensors.service

Home Assistant configuration:

Configuration:

The only config you need in Home Assistant is the following:

mqtt:
  discovery: true
  discovery_prefix: homeassistant

Lovelace UI example:

I have used following custom plugins for lovelace:

  • vertical-stack-in-card
  • mini-graph-card
  • bar-card

Config:

- type: 'custom:vertical-stack-in-card'
    title: Deconz System Monitor
    cards:
      - type: horizontal-stack
        cards:
          - type: custom:mini-graph-card
            entities:
              - sensor.deconz_cpu_usage
            name: CPU
            line_color: '#2980b9'
            line_width: 2
            hours_to_show: 24
          - type: custom:mini-graph-card
            entities:
              - sensor.deconz_temperature
            name: Temp
            line_color: '#2980b9'
            line_width: 2
            hours_to_show: 24
      - type: custom:bar-card
        entity: sensor.deconz_disk_use
        title: HDD
        title_position: inside
        align: split
        show_icon: true
        color: '#00ba6a'
      - type: custom:bar-card
        entity: sensor.deconz_memory_use
        title: RAM
        title_position: inside
        align: split
        show_icon: true
      - type: entities
        entities:
          - sensor.deconz_last_boot
          - sensor.deconz_under_voltage

Example:

alt text

system_sensors's People

Contributors

alexmerm avatar codeclinic avatar dependabot[bot] avatar eddy805 avatar jsa1987 avatar kylehase avatar maxvram avatar poeschl avatar sennevds avatar svbz3r0 avatar tomlut avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.