Django backend of Helium's planner application

Overview

CI/CD Codecov Python Versions GitHub License

Helium Platform Project

Prerequisites

  • Python (>= 3.6)
  • Pip (>= 9.0)
  • MySQL (>= 5.7)
  • Redis (>= 3.2)

Getting Started

The Platform is developed using Python and Django.

Project Setup

If developing on Mac, first install Homebrew and install MySQL with brew install mysql.

To setup the Python/Django Platform build environment, execute:

make install

This project is configured to work with a Virtualenv which has now been setup in the .venv folder. If you're unfamiliar with how this works, read up on Virtualenv here. The short version is, virtualenv creates isolated environments for each project's dependencies. To activate and use this environment when developing, execute:

source .venv/bin/activate

All commands below will now be run within the virtualenv (though make commands will always automatically enter the virtualenv before executing).

To ensure the database is in sync with the latest schema, database migrations are generated and run with Django. To run migrations, execute:

make migrate

Once migrations have been run, you can create a super user, which is a standard user that also has access to the /admin site.

python manage.py createsuperuser

Before commits are made, be sure to run tests and check the generated coverage report.

make test

Development

Modules

The Platform project is split up into several modules, all contained within this repository. They are independent modules that can be deployed separately, functioning on separate nodes for scalability.

The project's base configuration is defined under conf. Application-specific configuration variables should have their application name as their prefix.

  • auth
  • common
  • feed
  • importexport
  • planner

Vagrant Development

To emulate a prod-like environment, use the Vagrant box. It's setup is described more thoroughly in the deploy project. This is the recommended way to develop and test for production as this environment is provisioned in the same way other prod-like environments are deployed and interacts with related projects as necessary.

As the Vagrant environment does take a bit more time to setup (even though the setup is largely automated) and can consume more developer and system resources, the local development environment described below is the quickest and easiest way to get up and running.

Local Development

This is the simplest way to get started with minimal effort. To get going (assuming you have followed the "Getting Started" directions above), you should have the ENVIRONMENT environment variable set to "dev".

Now you're all set! To start the development server, execute:

bin/runserver

A development server will be started at http://localhost:8000.

If the USE_NGROK environment variable is set when a dev server is started (using runserver, pyngrok will be used to open a ngrok tunnel.

Additionally, this project also contains a worker that executes asynchronous or scheduled tasks, and the above server can be started with this worker as well. When developing locally, it is less necessary to run this worker (when ENVIRONMENT is "dev", tasks are executed synchronously), but it may still be useful, especially for testing scheduled tasks, so a standalone executable is provided for convenience. To start the server with the worker, ensure Redis is installed locally and instead execute:

bin/runserver --with-worker

Note that credentials to third-party services (for example, AWS services like SES) need to be set in the .env file before those services will work properly. Do NOT commit real credentials to third-party services, even in example files.

Frontend

The frontend is served from a separate repository and can be found here.

Note that the frontend was previously bundled, rendered, and served as a part of this project, but it was pulled out into its own project with the with 1.4.0 release. For reference, checkout the 1.3.8 tag or download it here to see how this was previously done.

Documentation

Auto-generated API documentation is accessible via any environment at /docs. Additional documentation can be found on the Platform Wiki.

Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.

Django-environ django-environ allows you to use Twelve-factor methodology to configure your Django application with environment variables. import envi

Daniele Faraglia 2.7k Jan 07, 2023
A quick way to add React components to your Django templates.

Django-React-Templatetags This django library allows you to add React (16+) components into your django templates. Features Include react components u

Fröjd Agency 408 Jan 08, 2023
Simple alternative to Doodle polls and scheduling (Python 3, Django 3, JavaScript)

What is jawanndenn? jawanndenn is a simple web application to schedule meetings and run polls, a libre alternative to Doodle. It is using the followin

Sebastian Pipping 169 Jan 06, 2023
Template for Django Project Using Docker

You want a Django project who use Docker and Docker-compose for Development and for Production ? It's for you !

1 Dec 17, 2021
A Blog Management System Built with django

Blog Management System Backend use: Django Features Enhanced Ui

Vishal Goswami 1 Dec 06, 2021
Py-instant-search-redis - Source code example for how to build an instant search with redis in python

py-instant-search-redis Source code example for how to build an instant search (

Giap Le 4 Feb 17, 2022
Compresses linked and inline javascript or CSS into a single cached file.

Django Compressor Django Compressor processes, combines and minifies linked and inline Javascript or CSS in a Django template into cacheable static fi

2.6k Jan 03, 2023
System checks for your project's environment.

django-version-checks System checks for your project's environment. Requirements Python 3.6 to 3.9 supported. Django 2.2 to 3.2 supported. Are your te

Adam Johnson 33 Dec 22, 2022
A app for managing lessons with Django

Course Notes A app for managing lessons with Django Some Ideas

Motahhar.Mokfi 6 Jan 28, 2022
Fast / fuzzy PostgreSQL counts for Django

Created by Stephen McDonald Introduction Up until PostgreSQL 9.2, COUNT queries generally required scanning every row in a database table. With millio

stephenmcd 85 Oct 25, 2021
A Django web application that shortens long URLs. This is a demo project to show off my tech abilities.

Django URL Shortener This project is just a complete and production-ready URL shortener web application to show off my tech and coding abilities. Impo

Seyyed Ali Ayati 5 Jan 26, 2022
CRUD with MySQL, Django and Sass.

CRUD with MySQL, Django and Sass. To have the same data in db: insert into crud_employee (first_name, last_name, email, phone, location, university) v

Luis Quiñones Requelme 1 Nov 19, 2021
Django Fett is an incomplete code generator used on several projects

Django Fett Django Fett is an incomplete code generator used on several projects. This is an attempt to clean it up and make it public for consumption

Jeff Triplett 6 Dec 31, 2021
Dynamic, database-driven Django forms

Django Dataforms django-dataforms is a wrapper for the Django forms API that lets you dynamically define forms in a database, rather than hard-coding

35 Dec 16, 2022
Bringing together django, django rest framework, and htmx

This is Just an Idea There is no code, this README just represents an idea for a minimal library that, as of now, does not exist. django-htmx-rest A l

Jack DeVries 5 Nov 24, 2022
Official Python agent for the Elastic APM

elastic-apm -- Elastic APM agent for Python This is the official Python module for Elastic APM. It provides full out-of-the-box support for many of th

elastic 369 Jan 05, 2023
wagtail_tenants is a Django/Wagtail app to provide multitenancy to your wagtail project.

wagtail-tenants wagtail_tenants is a Django/Wagtail app to provide multitenancy to your wagtail project. You are able to run a main Wagtail Site and f

<bbr> 11 Nov 20, 2022
Учебное пособие по основам Django и сопутствующим технологиям

Учебный проект для закрепления основ Django Подробный разбор проекта здесь. Инструкция по запуску проекта на своей машине: Скачиваем репозиторий Устан

Stanislav Garanzha 12 Dec 30, 2022
Code coverage measurement for Python

Coverage.py Code coverage testing for Python. Coverage.py measures code coverage, typically during test execution. It uses the code analysis tools and

Ned Batchelder 2.3k Jan 05, 2023
It takes time to start a Django Project and make it almost production-ready.

It takes time to start a Django Project and make it almost production-ready. A developer needs to spend a lot of time installing required libraries, setup a database, setup cache as well as hiding se

Khan Asfi Reza 1 Jan 01, 2022