# Radiacode Monitor

This project provides a real-time monitoring dashboard for a Radiacode gamma spectrometer. It processes live radiation data, stores it in a SQLite database, and serves an updated JSON payload for a web-based frontend.

## Features

- ![Screenshot](images/Screenshot.png)
- **Real-time Monitoring**: Displays live dose rate and count rate trends.
- **Energy Spectrum**: Shows the accumulated gamma energy spectrum (keV).
- **24-Hour Spectrogram**: A heatmap waterfall view of the radiation spectrum at 5-minute intervals over the last 24 hours.
- **Data Persistence**: Uses SQLite to store historical radiation data.
- **Web Dashboard**: A lightweight HTML/JavaScript frontend using Plotly for interactive charting.

## File Structure

- `rc_read2.py`: The main Python script that interfaces with the Radiacode device, processes data, and updates the database and web JSON.
- `frontend.htm`: The web dashboard displaying the charts.
- `radiacode_data.db`: SQLite database containing historical spectrum and rate data.
- `live_spectrum.json`: Aggregated JSON data used by the frontend.

## Setup and Usage

1.  **Prerequisites**:
    - A Radiacode device connected to the system.
    - Python 3 with `sqlite3` and the `radiacode` wrapper library installed.

2.  **Running the Monitor**:
    Execute the Python script to start the data collection loop:
    ```bash
    python rc_read2.py
    ```

3.  **Viewing the Dashboard**:
    The dashboard is designed to be served via a web server (like Apache) that can access the `live_spectrum.json` file. Point your web server to the directory containing `frontend.htm`.

## Data Processing

- **Intervals**: The script polls for spectrum data every 5 minutes and performs a hardware reset to ensure clean window alignment.
- **Aggregation**: The `update_web_json` function downsamples the last 24 hours of rate data and aggregates spectrum counts to keep the JSON payload size manageable for the web frontend.