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Author: APT96 <info@apt96.com>
Date:   Thu May 15 03:14:26 2025 +0100

    Initial commit

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+🩺 NCIC Live A&E Monitor
+
+This is a Python application that allows you to view live data of the amount of patients in A&E and the latest waiting times, at NCIC facilities. The data is scraped from the ncic.nhs.uk waiting times page and displayed in a user-friendly GUI.
+
+
+## Features
+
+    Real-time Data: Displays the latest A&E and UTC waiting times for NCIC hospitals
+
+    Auto-refresh: The app automatically refreshes data every 5 minutes with a countdown timer.
+
+    Customizable UI: The interface is split into two sections for A&E and UTC departments, with hospital names highlighted for clarity.
+
+    Data Fetching: Uses BeautifulSoup to scrape HTML tables from the NHS website, parsing the relevant data on patients, wait times, and arrivals.
+
+Requirements
+
+To run this application, you need to have the following Python libraries installed:
+
+    requests
+
+    beautifulsoup4
+
+    tkinter (usually comes pre-installed with Python)
+
+You can install the required libraries using pip:
+
+pip install requests beautifulsoup4
+
+Python Version
+
+This script is compatible with Python 3.x.
+
+How to Run
+
+    Clone this repository to your local machine.
+
+
+    Navigate to the directory:
+
+
+    Run the script linux.py
+
+
+
+
+The app should now open and display the current NHS waiting times for A&E and UTC departments in North Cumbria.
+
+How It Works
+GUI Components
+
+    Title and Countdown: Displays the app title and a countdown timer showing the time remaining until the next data refresh.
+
+    Two Panels: One panel shows A&E departments, and the other shows Urgent Treatment Centres (UTC).
+
+    Hospital Information: Each hospital entry includes:
+
+        Hospital name (with an icon)
+
+        Number of patients currently in the department
+
+        Average wait time
+
+        Number of arrivals in the last hour
+
+Data Fetching
+
+The fetch_data() method scrapes the NHS page and extracts data from HTML tables using BeautifulSoup. This data is then formatted and displayed in the GUI.
+Auto Refresh
+
+The app refreshes the data every 5 minutes using a background thread, with a countdown timer indicating the time remaining until the next refresh.
+Simplifying Hospital Names
+
+The simplify_name() method is used to standardize and clean up hospital names, ensuring that any extra details (such as "24hrs") are removed for consistency.
+Example Screenshot
+
+Troubleshooting
+
+    App doesn't load: Ensure that all required libraries are installed. Run pip install requests beautifulsoup4.
+
+    No data appears: The data is fetched from the live NHS website, so ensure you have an internet connection and the website is accessible.