Skip to main content

GrooveShop Django Backend

Project description

GrooveShop

- Django

- Nuxt3

- MediaStream

DOCKER :

DJANGO :

Run django db migrations through docker compose :

  • docker compose run backend sh -c "python manage.py makemigrations --noinput"
    

Run django db migrate through docker compose :

  • docker compose run backend sh -c "python manage.py migrate"
    

Create superuser through docker compose :

  • docker compose run backend sh -c "python manage.py createsuperuser"
    

Run django collectstatic through docker compose :

  • docker compose run backend sh -c "python manage.py collectstatic --noinput"
    

Run django tests through docker compose :

  • docker compose run backend sh -c "python manage.py test tests/"
    

Run django tests with coverage and html through docker compose :

  • docker compose run backend sh -c "coverage run --omit=*/migrations/*,*/management/*,*/manage.py,*/setup.py,*/asgi.py,*/wsgi.py --source='.' manage.py test tests/ && coverage report && coverage html"
    

Run django coverage html through docker compose :

  • docker compose run backend sh -c "coverage html"
    

Seed database with fake data through docker compose :

  • docker compose run backend sh -c "python manage.py populate_all"
    

Run docker compose for specific yml file :

  • docker compose -f <docker compose-file.yml> up -d --build
    

Run docker commands through docker exec :

  • docker exec -it <container_id> <command>
    

Run specific shell command through docker exec :

  • docker exec -it <container_id> sh -c "<command>"
    

Run Locale Message generation through docker exec :

  • docker exec -it <container_id> sh -c "django-admin makemessages -l <locale>"
    
  • docker exec -it <container_id> sh -c "django-admin makemessages --all --ignore=env"
    

Run Locale Message compilation through docker exec :

  • docker exec -it <container_id> sh -c "django-admin compilemessages --ignore=env"
    

PYTHON

--- VERSION 3.11.0 ---

Virtual Environment :

  • Install virtualenv : pip install virtualenv
    Create virtual environment : virtualenv <env_name>
    (Case 1)Activate virtual environment : source <env_name>/bin/activate
    (Case 2)Activate virtual environment : <env_name>/scripts/activate
    Deactivate virtual environment : deactivate
    Install requirements : pip install -r requirements.txt
    Install requirements for specific environment : pip install -r requirements/<env_name>.txt
    

Django :

  • Install django : pip install django
    Create django project : django-admin startproject <project_name>
    Create django app : python manage.py startapp <app_name>
    Run django db migrations : python manage.py makemigrations
    Run django db migrate : python manage.py migrate
    Create superuser : python manage.py createsuperuser
    Run django collectstatic : python manage.py collectstatic
    Run django test : python manage.py test
    Run django shell : python manage.py shell
    Run django shell_plus : python manage.py shell_plus
    Run django dbshell : python manage.py dbshell
    Run django runserver : python manage.py runserver
    

Lint :

  • Step 1: cd src
    
  • AVAILABLE COMMANDS :
    pre-commit run --all-files
    black .
    

Poetry :

  • Install poetry : curl -sSL https://install.python-poetry.org | python3 - OR (Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
    Create poetry project : poetry new <project_name>
    Install dependencies : poetry install
    Update poetry lock file : poetry lock
    Add dependency : poetry add <dependency_name>
    Remove dependency : poetry remove <dependency_name>
    Update dependency : poetry update <dependency_name>
    Run shell : poetry shell
    Run script : poetry run <script_name>
    

Strawberry :

  • Install strawberry : pip install strawberry-graphql
    Create strawberry project : strawberry server
    Run strawberry server : strawberry server
    Run strawberry server for project schema : (src path) : strawberry server core.graphql.schema:schema
    

pre-commit :

  • pre-commit install
    git config --unset core.hooksPath
    

Anaconda :

  • Install anaconda : https://docs.anaconda.com/anaconda/install/
    Create conda environment : conda create --name <env_name> python=3.11.0
    Activate conda environment : conda activate <env_name>
    Deactivate conda environment : conda deactivate
    Create conda environment from yml file : conda env create -f environment.yml
    

DRF-Spectacular :

  • Generate schema : python manage.py spectacular --color --file schema.yml
    

MEDIA STREAM:

NPM :

--- VERSION 18.16.0 ---

  • Step 1: cd mediaStream
    
  • Run npm Install : npm install
    

GIT

--- VERSION 2.36.0.windows.1 ---

Delete origin tags :

  • git tag -l | xargs -n 1 git push --delete origin
    

Delete local tags :

  • git tag -l | xargs git tag -d
    

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

grooveshop_django_api-0.8.6.tar.gz (13.8 MB view details)

Uploaded Source

Built Distribution

grooveshop_django_api-0.8.6-py3-none-any.whl (93.7 kB view details)

Uploaded Python 3

File details

Details for the file grooveshop_django_api-0.8.6.tar.gz.

File metadata

  • Download URL: grooveshop_django_api-0.8.6.tar.gz
  • Upload date:
  • Size: 13.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for grooveshop_django_api-0.8.6.tar.gz
Algorithm Hash digest
SHA256 e4ff27daf8ef0a9fb448ff039c62a2ac75326f00b832165de6508bc9507009e1
MD5 be6d1737c9be49943930ced62de59743
BLAKE2b-256 680aa8b54784ce71916d82a19d2b4cbdc7c5865ea8d67371950802774520fb02

See more details on using hashes here.

Provenance

File details

Details for the file grooveshop_django_api-0.8.6-py3-none-any.whl.

File metadata

File hashes

Hashes for grooveshop_django_api-0.8.6-py3-none-any.whl
Algorithm Hash digest
SHA256 2168f53cedf1612242b2feac872069c3a2b8b6b0afdf6b8ecc984ec2dbfc90ea
MD5 2f4aa57c8d5338363f129908a48bf10b
BLAKE2b-256 769bcead2ab2656e0acf4121ca56a5260196d2f2ffb75168166ff66b61972aa6

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page