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