Web-Based Project for Energy Boundary Method Application

This project provides a web front-end interface that allows users to upload a data file and trigger the execution of the applyEnergyBoundaryMethod function from the backend. The application is built using Node.js and Express for the server-side, and HTML, CSS, and JavaScript for the client-side.

Project Structure

web-front-end
├── public
│   ├── index.html          # HTML structure of the web front-end
│   ├── styles
│   │   └── style.css       # CSS styles for the web front-end
│   └── scripts
│       └── app.js          # Client-side JavaScript code
├── src
|   ├── static_data         # Proprietary data needed for EBM application
│   ├── server.js           # Entry point for the server-side application
│   └── utils
│       └── fileHandler.js   # Utility functions for handling file uploads
├── package.json            # npm configuration file
├── .gitignore              # Files and directories to be ignored by Git
└── README.md               # Documentation for the project

Setup Instructions

1. Clone the repository:

   git clone git@github.com:briansayles/autoEBM.git
   cd autoEBM
   

2. Create necessary files (proprietary data) in static_data folder: arcFlashBoundaries.json ebmStatucValues.json shockBoundaries.json

3. Install dependencies:

   npm install
   

4. Run the server:

   node src/server.js OR npm start
   

5. Open the application: Navigate to http://localhost:3000 in your web browser.

Usage

• Use the file input buttons to select a data file, customer setup file and label template file (in the required formats).
• Enter a job number or name in the text field (optional).
• Use the checkboxes to disable Excel summary file creation, all Word label files creation, or only the merged Word file creation.
• Click the "Upload" button to send the file to the server.
• The server will process the file and execute the applyEnergyBoundaryMethod function.
• Upon completion, the web page will display links to the output files, which you can click to download to your local machine.

License

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