Django Ecommerce

Table of Contents

• Requirements
  • Software Installation
  • Accounts Required
• Steps for running project
  • One Time Setup
    • Clone Project
    • Environment Setup
    • Create DB in postgresql
    • Fill .env file
    • Installation of Dependencies
    • Migrations and SuperUser
  • Running Server
    • Django
    • Celery
    • Elasticsearch
• Load Initial Data (optional)

Requirements for running project

• Software Installation:
  • python >3.5.x
  • virtualenv
  • git-bash
  • Redis
  • postgresql
  • ElasticSearch
• Accounts Required:
  • Gmail account with less secure apps on
  • Cloudinary
  • Sentry

Before running the project make sure that postgresql, elasticsearch and redis servers are running.

Steps for running project:

Clone Repository:

git clone https://github.com/rishank-shah/django-ecommerce.git
cd django-ecommerce
cp .env.example .env

Environment Setup:

pip install virtualenv
virtualenv venv

Create DB

Create a DB in postgresql and enter the same DB name in the .env file

Fill .env file:

Fill the .env file with the correct database, cloudinary, email, sentry credentials, elasticsearch and redis url.

Installation of Dependencies:

source venv/bin/activate
pip install -r requirements.txt

Migrations and SuperUser

source venv/bin/activate
source .env
python manage.py migrate
python manage.py createsuperuser

Running Django Server:

source venv/bin/activate
source .env
python manage.py runserver

Running Celery:

For running celery open another terminal navigate to django-ecommerce folder and execute the following commands

source venv/bin/activate
source .env
celery -A ecommerce_project worker -l info

ElasticSearch:

If you are facing an error while saving products in admin, navigate to django-ecommerce folder and execute the following commands

source venv/bin/activate
source .env
python manage.py search_index --rebuild

Press y and enter

Initial Data

You can load some initial data from fixture load_product_data.json

Please Note Images will not be displayed as your cloudinary account will be different

source venv/bin/activate
source .env
python manage.py loaddata load_product_data.json

If all commands run successfully website will be running on PORT 8000 on localhost http://localhost:8000