https://github.com/ynstf/molla-shop-platform

Ecommerce Platform website with django
https://github.com/ynstf/molla-shop-platform

api django docker flask kubernetes microservices nlp

Last synced: 2 days ago
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Ecommerce Platform website with django

• Host: GitHub
• URL: https://github.com/ynstf/molla-shop-platform
• Owner: ynstf
• License: mit
• Created: 2023-11-15T13:48:06.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-04-11T10:11:10.000Z (7 months ago)
• Last Synced: 2024-04-11T11:27:01.339Z (7 months ago)
• Topics: api, django, docker, flask, kubernetes, microservices, nlp
• Language: JavaScript
• Homepage:
• Size: 46.6 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE.txt

Awesome Lists containing this project

README

        
Intelligent E-commerce Platform: NLP, Computer Vision, and Recommendations

# websit microservices

## step1

    create first layout of website

    create database models (tables)

    create home products page (show all product)

    create product page (show the selected product)

    create regester,login and logout page

    create new product listing form

    fixe category issus

    search for products

    <<>> Profile 

    <<<<<<>>>>>> register in website by gmail or (confirmation)

     manage paginations

    <<<<>>>> create a set of category and products 

    <<<>>>> fixe images sizes

    add errors pages

    <<<<<<<>>>>>>> add message page

## step2

    initialize git

    put remote of github repo

    push project to github

    create first CI

    <<<<<<>>>>>> create test.py in django

## step3

    build docker image

    push to docker hub

	use database with my app by docer-compse

    add secrets to github secrets

    create .env with database details mysql + secret

## step3.5 microservices related on platform

    <<<<<<<>>>>>>> build messages aplication

    build products aplication

    build searsh aplication

    build category aplication

    build policy aplication

    build auth aplication

    <<<<>>>> connect the microservices

## step4

    create cloud service account

    structur of deployments in k8s

    build continers on k8s

	<<<>>> run scripts into deployment

	<<<<>>>> use database as deployment with volumes

    <<<<<<>>>>>> make deployment

    <<<<<<>>>>>> make service 

    <<<<<<>>>>>> make secrets from .env ENTERYPOINT.sh

    <<<<<<>>>>>> CD with Github actions and degital ocean depend on CI

# AI Microservices

# step1

    create the policy of website

    <<<<<<>>>>>> create and scrap data of product with policy and not with

    <<<<<>>>>> create model to classify the products in policy or out

    <<<<<>>>>> create model to recommand the products to users