PySupervise

PySupervise is a lightweight backend built with FastAPI for real-time task monitoring and resource tracking. It features Server-Sent Events (SSE) to provide live updates on CPU, memory, and GPU usage, along with task execution and status monitoring.

---

Features

• Real-time Monitoring: Live updates on system resources.
• Task Management: Submit, execute, and monitor long-running tasks.
• RESTful API: Intuitive endpoints for integration.
• Lightweight Backend: Built with FastAPI for speed and simplicity.

---

Prerequisites

• Python 3.7
  Make sure you have Python 3.7 installed on your system.
  If needed, download it from Python's official website.

• Virtual Environment (tensorflow_env):
  Use an isolated virtual environment to manage dependencies.

---

Installation

1. Clone the repository:

   git clone https://github.com/username/py-supervise.git
   cd py-supervise
   

Activate your virtual environment:

C:\Windows\System32\tensorflow_env\Scripts\activate

Install dependencies:

pip install -r requirements.txt

Run the application:

uvicorn app.main:app --reload

Access the API documentation at: http://127.0.0.1:8000/docs

---

Testing

To run tests, activate your virtual environment and execute:

pytest

License

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

fastapi==0.78.0 uvicorn==0.17.0 psutil==5.9.0