LITTLE KNITS STORY

- This is project with the most modern technologies, also for testing new version of python and django.
- This is just a pet project backend, this is not a boxed solution, this is just an API for my project.
- The project that underlies this repository is coming out of deep beta and the production version of the product 1.0.0 is being prepared.
- So the master branch can be used however you like.
- There is a lot of experimental stuff in the development branch.

Project Deploying

Project Contents

• Project Structure
• Project Features
• Project Install
• Project Issues

Project Code

Project Structure

applications:
    account       + 
    api           + 
    blog          +
      comments    -
      like        - 
    contacts      + 
    courses       - 
    dashboard     - 
    feed          -
    menu          + 
    reviews       + 
    shop          +
      order       +
      product     +
      delivery    -
    shorter       -
    slider        + 
    subscribe     + 
    notification  - 
      in app      - 
      email       -

Project Technology

• Python (docs, hub.docker)
• Django (docs)
• DRF (docs)
• Celery (docs)
• Swagger (docs)
• Redis (docs, hub.docker)
• PostgreSQL (docs, hub.docker)
• Nginx (hub.docker, hub.docker)
• Docker (docs)
• Docker compose (docs)
• GraphQL (docs

Project Features

• Versioning
• Support multilingual
• CI/CD with github actions
• Auto posting FB, INST, VK
• Watermarks photo
• Async views for graphQL
• ... be sure to add features ...

Project Install

• Clone project:

        git clone -b develop https://github.com/63phc/lks.git

• There are two ways to start a project, all in docker or only pg, redis in docker
• You can not use docker, then you should have pg and redis in local

Start for developing locale with postgres, redis in docker

   cp .env.example .env
   # all 
   docker-compose -f .docker/docker-compose.local.yml up --build --quiet-pull
   # postgresql redis
   docker-compose -f .docker/docker-compose.local.yml up postgresql redis

• Create virtual env:

    python3 -m venv Venv
    source Venv/bin/activate
    pip3 install -r src/requirements/development.txt

• Prepare project:

    python manage.py makemigrations
    python manage.py migrate
    python manage.py collectstatic
    python manage.py createsuperuser
    python manage.py loaddata src/fixtures/*.json
    python manage.py runserver

    gunicorn src.core.wsgi:application -w 2 -b 0.0.0.0:8000
    gunicorn src.core.asgi:application -k uvicorn.workers.UvicornWorker

Parameters

• .env file:

Environment	Default	Description
SECRET_KEY
ENVIRONMENT	test	test using sqlite
NGINX_PORT	26363
POSTGRES_NAME	lks_pg_name
POSTGRES_USER	lks_pg_user
POSTGRES_DB	lks_pg_db
POSTGRES_PASSWORD	lks_pg_pass
PGDATA	/var/lib/postgresql/data/pgdata
POSTGRES_HOST	localhost
POSTGRES_PORT	5432
REDIS_HOST	localhost
REDIS_PASSWORD	pswd123
REDIS_PORT	6379
FLOWER_PORT	9876
FLOWER_USER	admin
FLOWER_PASSWORD	admin
PROVIDER_EMAIL
EMAIL_HOST
EMAIL_PORT	587
EMAIL_HOST_USER
EMAIL_HOST_PASSWORD
SENDGRID_API_KEY
MAILGUN_API_KEY
FIXER_ACCESS_KEY
OPEN_EXCHANGE_RATES_APP_ID
SENTRY_DNS

Start in Docker

• Install Docker: instructions
• edit .docker/dev/.env file with your params:

        cp .env.example .docker/.env
        docker-compose -f .docker/docker-compose.yml build
        docker-compose -f .docker/docker-compose.yml up
        #
        docker-compose -f .docker/docker-compose.yml run backend python manage.py makemigrations
        docker-compose -f .docker/docker-compose.yml run backend python manage.py migrate
        docker-compose -f .docker/docker-compose.yml run backend python manage.py loaddata src/fixtures/*.json

• Pycharm Setup: https://www.jetbrains.com/help/pycharm/docker.html

Project Issues

• If you find any bugs, feel free to file an issue on the github issue tracker.