Lab Management Dashboard

A Django-based Cluster Dashboard for efficiently managing clusters and nodes inventory in enterprise environments.

Technology Stack

• Backend: Django 4.2+ (Python)
• Frontend: HTML5, CSS3, JavaScript (ES6+)
• Database: SQLite (development), MySQL/PostgreSQL ready
• Data Processing: Pandas for Excel import

Project Structure

lab_management/
├── lab_management/          # Django project settings
│   ├── __init__.py
│   ├── settings.py
│   ├── urls.py
│   └── wsgi.py
├── dashboard/              # Main application
│   ├── __init__.py
│   ├── admin.py           # Django admin configuration
│   ├── apps.py
│   ├── models.py          # Database models
│   ├── urls.py            # App URL routing
│   ├── utils.py           # Utility functions
│   ├── views.py           # Business logic
│   └── templates/
│       └── dashboard/     # HTML templates
│           ├── base.html
│           ├── dashboard.html
│           ├── cluster_*.html
│           ├── node_*.html
│           └── import_excel.html
├── static/                # CSS, JS, images
├── media/                 # User uploads
├── requirements.txt       # Python dependencies
├── .gitignore            # Git ignore rules
└── README.md             # This file

Quick Start

Prerequisites

• Python 3.8+
• pip (Python package manager)
• Git

Installation

1. Clone the repository

   git clone <repository-url>
   cd lab_management

2. Create virtual environment

   python -m venv venv
   source venv/bin/activate  

3. Install dependencies

   pip install -r requirements.txt

4. Database setup

   python manage.py makemigrations
   python manage.py migrate

5. Create superuser (optional)

   python manage.py createsuperuser

6. Run development server

   python manage.py runserver 0.0.0.0:8000