ClipBox

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ClipBox is an exquisite and efficient temporary file sharing station, similar to FileCodeBox, supporting file sharing, clipboard sharing, and short link functionality. Additionally, it integrates a unique Exam Clock feature, allowing users to set exam subjects and times based on a configuration document and supporting NTP time synchronization.

Features

• Instant File Transfer: Achieves rapid file upload through dual hash verification on the frontend and backend, ensuring data security.
• Clipboard Sharing: Supports quick sharing of text content and cross-device access.
• Short Link Service: Can convert long URLs into easy-to-share short links.
• Exam Clock: A customizable exam countdown clock that supports NTP network time synchronization to ensure precise timing.
• Lightweight and Efficient: Built on Flask, it has low resource consumption and fast response times.
• Dark/Light Mode Toggle: Supports switching between dark and light modes to suit different environments.

Demo

Home Page	File Upload	Text Sharing

Retrieval Code	Exam Clock	Clock Config Doc

Use Cases

• Temporary File Transfer: Quickly transfer files between different devices without the need to log in or install heavy applications.
• Code Snippet Sharing: Share code snippets, configuration files, or logs with colleagues or friends.
• Online Exam Timing: Provide a precise, unified network countdown clock for online exams or simulated tests.
• Temporary Link Sharing: Convert complex long links into concise short links for easy sharing on social media or messaging apps.

Technical Stack

• Backend: Flask, Flask-SQLAlchemy
• Database: MySQL (connected via PyMySQL)
• Frontend: Native HTML, CSS, JavaScript
• Others: NTP

Quick Start

Environment Requirements

• Python 3.x
• MySQL

Local Development

1. Clone the Repository:

   git clone https://github.com/MeTerminator/ClipBox.git
   cd clipbox

2. Install Dependencies:

   pip install -r requirements.txt

3. Configure the Application:

   • Modify the database connection information and other configurations in app/config.py as prompted.

4. Run the Application:

   python main.py

   The application will be running at http://127.0.0.1:5328.

Deployment Guide

For stable operation in a production environment, it is recommended to use a WSGI server for deployment.

Option 1: Gunicorn (for Linux/macOS)

1. Install Gunicorn:

   pip install gunicorn

2. Run the Application:

   gunicorn -w 4 -b 0.0.0.0:5328 'app:create_app()'

   • -w 4: Starts 4 worker processes.
   • -b 0.0.0.0:5328: Binds to port 5328 on all network interfaces.

Option 2: Waitress (for Windows)

1. Install Waitress:

   pip install waitress

2. Create a run.py file:

   from waitress import serve
   from app import create_app
   
   app = create_app()
   
   if __name__ == '__main__':
       serve(app, host='0.0.0.0', port=5328)

3. Run the Application:

   python run.py

Contribution Guide

We welcome contributions in any form!

• Report Bugs: If you find a bug, please submit the details through GitHub Issues.
• Feature Suggestions: If you have ideas for new features, feel free to propose them via Issues.
• Code Contribution: Please follow these steps:
  1. Fork this repository.
  2. Create your feature branch (git checkout -b feature/AmazingFeature).
  3. Commit your changes (git commit -m 'Add some AmazingFeature').
  4. Push to the branch (git push origin feature/AmazingFeature).
  5. Open a Pull Request.

License

This project is open-sourced under the MIT License.

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