Learn Django through Inventory management system

About project

Youtube : Project Overview
Github : https://github.com/suyash-srivastava-dev/Inventory-Management

This project aims covers application with Database, models, Views, templates with CRUD functionality.

I have implemented an inventory management system using Django to efficiently manage products, stock levels, suppliers and sales. It supports crud operations for product and suppliers, facilitate stock management and enable tracking of sales order.

I have used django as a backend and for front-end it involves HTML CSS JavaScript with the django template that is jinja. For the database I have used mysql or sqlite. You can below settings for postgres & mysql.

# Postgres
DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql', 
        'NAME': 'your_database_name', 
        'USER': 'your_db_user', 
        'PASSWORD': 'your_db_password', 
        'HOST': 'localhost', 
        'PORT': '5432', 
    }
}

# MySQL
DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.mysql', 
        'NAME': 'your_database_name', 
        'USER': 'your_db_user', 
        'PASSWORD': 'your_db_password', 
        'HOST': 'localhost', 
        'PORT': '3306', 
    }
}

Database model parameters

• product which consists of name description category price stock quantity and supplier
• supplier table which contains name email phone number and address
• sales order that contains product quantity total price sales data and status
• stock movement that contains product quantity movement type movement date and notes

Models : inventory_management/models.py

Tasks

The application is allows you to add product ,list product, add supplier, list supplier, add stock movements ,create sales order, cancel sales order ,complete sales order, list sales order and stock level check.

Run project

Note: Recommended to use virtual environment for the application.

From Project

1. Install dependecy : pip install -r requirements.txt
2. Run the django application : python manage.py runserver
3. check project on http://localhost:8000/

From Docker

1. Build the application image : docker-compose build
2. Create container out of the image: docker-compose up -d
3. check project on http://localhost:8000/