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A project that allows you to monitor and manage your Raspberry Pi's system metrics such as CPU usage, memory usage, and more via a Flask server and a client application.

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RPi Metrics

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Welcome to the RPi Metrics project! This project allows you to monitor and manage your Raspberry Pi's system metrics such as CPU usage, memory usage, and more via a Flask server and a client application (optional but highly recommended).

Tip

You can also remote poweroff and remote update your Pi, from anywhere in the world, provided that the server is reachable from the wider internet. (Check out https://pi-monitor.qincai.xyz to see it yourself!)

Prerequisites

Ensure you have the following installed on your Raspberry Pi: If you don't have everything, no worries! Just use the installation script below! It will handle everything for you!

  • Python 3
  • Pip
  • Git
  • Curl

However, ensure that curl is already installed on your system before using the Quick Installer.

Quick Installation

Use the installation script by running:

sudo su
bash <(curl -sSL https://qincai.xyz/rpi-metrics-installer.sh)

Alternatively, you can run:

curl -sSL https://qincai.xyz/rpi-metrics-installer.sh | sudo bash -s - -y

to accept all defaults.

Or:

curl -sSL https://qincai.xyz/rpi-metrics-installer.sh | bash -s - --no-check-root

to bypass root check.

Setting Up the Server

Note

You can skip this if you used the Quick Installer script.

  1. Clone this repository

    sudo git -c http.followRedirects=true clone https://github.com/QinCai-rui/RPi-Metrics.git /usr/share/rpi-metrics
  2. Navigate to the server directory:

    cd /usr/share/rpi-metrics/Server
  3. Activate the virtual environment:

    source venv/bin/activate
  4. Run the server:

    sudo python3 rpi_metrics_server.py
  5. Alternatively, start it as a systemd service (Recommended):

    sudo cp /usr/share/rpi-metrics/Server/rpi-metricsd.service /etc/systemd/system/
    sudo systemctl enable --now rpi-metricsd

Setting Up the Client

The client should be a Raspberry Pi Pico W or Pico 2 W with 2 buttons and an SSD1306 128x64 screen. The Pico is optional. You can use this API on any device.

  1. Create a .env file in the client directory with the following content:

    SSID = "your_wifi_ssid"
    PSK = "your_wifi_password"
    SERVER_URL = "http://your_server_url"
    API_KEY = "your_api_key_here"
  2. Download the client code to your Pi Pico. The code is here.

  3. Ensure your Raspberry Pi Pico is connected to the internet.

  4. Run the client script (or save it as main.py to run at startup).

Available API Endpoints

  • GET /api/time: Retrieve the current system time. Example Output:

    {
      "Current Time":"Jan 01 00:00:00"
    }

  • GET /api/mem: Retrieve memory statistics. Example Output:

    {
      "Total RAM": "465MiB",
      "Total Swap": "2048MiB",
      "Used RAM": "244",
      "Used Swap": "72"
    }

  • GET /api/cpu: Retrieve CPU usage. Example Output:

    {
      "CPU Usage": "31%"
    }

  • POST /api/shutdown: Shutdown the system (requires API key in the header). Header name should be x-api-key. The server returns HTTP 200 and the following if a valid API key is provided:

    {
        "message": "System shutting down"
    }

    If a valid API key is not provided, the server returns HTTP 401 and the following:

    {
        "error": "Unauthorized"
    }   

    Example Usage:

    curl -L -X POST http://your_server_url/api/shutdown -H "x-api-key: your_api_key_here"

  • POST /api/update: Update the system (requires API key in the header). Header name should be x-api-key. The server returns HTTP 200 and the following if a valid API key is provided, after a update:

    {
        "message": "System update complete!"
    }

    If a valid API key is not provided, the server returns HTTP 401 and the following:

    {
        "error": "Unauthorized"
    }   

    Example Usage:

    curl -L -X POST http://your_server_url/api/update -H "x-api-key: your_api_key_here"

  • GET /api/all: Retrieve comprehensive system statistics. Example Output:

    {
      "CPU Usage": "31%",
      "Current Time": "Jan 1 00:00:00",
      "IP Address": "192.168.2.123 100.93.81.48 fd7a:115c:a1e0::8c01:5130",
      "SoC Temperature": "48.9C",
      "Total RAM": "465MiB",
      "Total Swap": "2048MiB",
      "Used RAM": "244",
      "Used Swap": "72"
    }

  • GET /: Access the user-friendly GUI. Example Output: root GUI output image

Uninstallation

If for any reason, you want to uninstall the RPi Metrics server from your Raspberry Pi, use rpi-metrics-uninstall to uninstall it. If that command is not found, try this if you only want to uninstall this project, Python excluded:

curl -sSL https://qincai.xyz/rpi-metrics-uninstaller.sh | sudo bash -s - -wet

Use this if you want to remove Python and other packages installed as well:

curl -sSL https://qincai.xyz/rpi-metrics-uninstaller.sh | sudo bash -s - -extra-wet

Warning

Passing the --extra-wet flag will remove python3, python3-pip, and python3-venv from your system. USE WITH CAUTION!!

Contributing

Contributions are welcome! Please create an issue or fork the repository and submit a pull request for review.

License

This project is licensed under the GPLv3 License. See the LICENSE file for details.

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A project that allows you to monitor and manage your Raspberry Pi's system metrics such as CPU usage, memory usage, and more via a Flask server and a client application.

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