Django 3, React, Bootstrap 4 with Python 3 and webpack project boilerplate
A Django project boilerplate/template with lots of state of the art libraries and tools like:
For continuous integration, a Github Action configuration .github/workflows/main.yml
is included.
Also, includes a Heroku app.json
and a working Django production.py
settings, enabling easy deployments with 'Deploy to Heroku' button. Those Heroku plugins are included in app.json
:
This is a good starting point for modern Python/JavaScript web projects.
pip install django
, to have the django-admin
command available.django-admin startproject theprojectname --extension py,yml,json --name Procfile,Dockerfile,README.md,.env.example,.gitignore,Makefile --template=https://github.com/vintasoftware/django-react-boilerplate/archive/boilerplate-release.zip
Alternatively, you may start the project in the current directory by placing a .
right after the project name, using the following command:
django-admin startproject theprojectname . --extension py,yml,json --name Procfile,Dockerfile,README.md,.env.example,.gitignore,Makefile --template=https://github.com/vintasoftware/django-react-boilerplate/archive/boilerplate-release.zip
In the next steps, always remember to replace theprojectname with your project's name
--extension
and --name
params!ADMINS
settings variable in {{project_name}}/backend/{{project_name}}/settings/base.py
SERVER_EMAIL
to the email address used to send e-mails in {{project_name}}/backend/{{project_name}}/settings/production.py
github
to .github
with the command mv github .github
After completing ALL of the above, remove this Project bootstrap
section from the project README. Then follow Running
below.
backend
folder, do the following:
{{project_name}}/settings/local.py.example
:cp {{project_name}}/settings/local.py.example {{project_name}}/settings/local.py
.env.example
:
cp .env.example .env
/backend/.env
file on a text editor and uncomment the line DATABASE_URL=postgres://{{project_name}}:[email protected]:5432/{{project_name}}
make docker_setup
users
app:make docker_makemigrations
make docker_migrate
make docker_up
http://localhost:8000
on your browser and the project should be running there
make docker_up
, some containers are spinned up (frontend, backend, database, etc) and each one will be running on a different portmake docker_logs <service name>
(either backend
, frontend
, etc)make docker_down
npm install <package name> --save
The above command will update your
package.json
, but won't make the change effective inside the container yet
requirements.in
or dev-requirements.in
with the newest requirementsmake docker_update_dependencies
to update the containers with the new dependencies
The above command will stop and re-build the containers in order to make the new dependencies effective
npm install
npm run start
Open the /backend/.env
file on a text editor and do one of the following:
DATABASE_URL=sqlite:///backend/db.sqlite3
DATABASE_URL=postgres://{{project_name}}:[email protected]:5432/{{project_name}}
in order to make it correctly point to your database URL
postgres://USER:[email protected]:PORT/NAME
DATABASE_URL
setting for the database you wish to use
DATABASE_URL
for commonly used enginesOpen a new command line window and go to the project's directory
Create a new virtualenv with either virtualenvwrapper or only virtualenv: mkvirtualenv {{project_name}}
or python -m venv {{project_name}}-venv
If you're using Python's virtualenv (the latter option), make sure to create the environment with the suggested name, otherwise it will be added to version control.
Make sure the virtualenv is activated workon {{project_name}}
or source {{project_name}}-venv/bin/activate
Run make compile_install_requirements
to install the requirements
Please make sure you have already setup PostgreSQL on your environment before installing the requirements
In case you wish to use a Conda virtual environment, please remove the line
export PIP_REQUIRE_VIRTUALENV=true; \
fromMakefile
backend
directoryusers
app:
python manage.py makemigrations
python manage.py migrate
python manage.py runserver
http://localhost:8000
to see the project runningworkon {{project_name}}
or source {{project_name}}-venv/bin/activate
depending on if you are using virtualenvwrapper or just virtualenv.python manage.py celery
The project expects Mailhog SMTP server to be running on port 1025, you may alter that by changing
EMAIL_PORT
on settings
make test
Will run django tests using --keepdb
and --parallel
. You may pass a path to the desired test module in the make command. E.g.:
make test someapp.tests.test_views
Add the libname to either requirements.in
or dev-requirements.in
, then either upgrade the libs with make upgrade
or manually compile it and then, install.
pip-compile requirements.in > requirements.txt
or make upgrade
pip install -r requirements.txt
This project comes with an app.json
file, which can be used to create an app on Heroku from a GitHub repository.
Before deploying, please make sure you've generated an up-to-date requirements.txt
file containing the Python dependencies. This is necessary even if you've used Docker for local runs. Do so by following these instructions.
After setting up the project, you can init a repository and push it on GitHub. If your repository is public, you can use the following button:
If you are in a private repository, access the following link replacing $YOUR_REPOSITORY_LINK$
with your repository link.
https://heroku.com/deploy?template=$YOUR_REPOSITORY_LINK$
Remember to fill the ALLOWED_HOSTS
with the URL of your app, the default on heroku is appname.herokuapp.com
. Replace appname
with your heroku app name.
Sentry is already set up on the project. For production, add SENTRY_DSN
environment variable on Heroku, with your Sentry DSN as the value.
You can test your Sentry configuration by deploying the boilerplate with the sample page and clicking on the corresponding button.
The bin/post_compile
script has a step to push Javascript source maps to Sentry, however some environment variables need to be set on Heroku.
You need to enable Heroku dyno metadata on your Heroku App. Use the following command on Heroku CLI:
heroku labs:enable runtime-dyno-metadata -a <app name>
The environment variables that need to be set are:
SENTRY_ORG
- Name of the Sentry Organization that owns your Sentry Project.SENTRY_PROJECT_NAME
- Name of the Sentry Project.SENTRY_API_KEY
- Sentry API key that needs to be generated on Sentry. You can find or create authentication tokens within Sentry.After enabling dyno metadata and setting the environment variables, your next Heroku Deploys will create a release on Sentry where the release name is the commit SHA, and it will push the source maps to it.
prospector
and npm run lint
on project root.pre-commit install
to enable the hook into your git repo. The hook will run automatically for each commit.git commit -m "Your message" -n
to skip the hook if you need.Some settings defaults were decided based on Vinta's experiences. Here's the rationale behind them:
CELERY_ACKS_LATE = True
We believe Celery tasks should be idempotent. So for us it's safe to set CELERY_ACKS_LATE = True
to ensure tasks will be re-queued after a worker failure. Check Celery docs on "Should I use retry or acks_late?" for more info.
react
for building interactive UIsreact-dom
for rendering the UIreact-router
for page navigationwebpack
for bundling static assetswebpack-bundle-tracker
for providing the bundled assets to Djangobootstrap
for providing responsive stylesheetsreact-bootstrap
for providing components built on top of Bootstrap CSS without using pluginsnode-sass
for providing compatibility with SCSS filesaxios
for performing asynchronous callscookie
for easy integration with Django using the csrftoken
cookieredux
for easy state management across the applicationconnected-react-router
for integrating Redux with React Routerhistory
for providing browser history to Connected React Routerreact-redux
for integrating React with Reduxredux-devtools-extension
for inspecting and debugging Redux via browserredux-thunk
for interacting with the Redux store through asynchronous logiclodash
for general utility functionsclassnames
for easy working with complex CSS class names on componentsprop-types
for improving QoL while developing providing basic type-checking for React propsreact-hot-loader
for improving QoL while developing through automatic browser refreshingdjango
for building backend logic using Pythondjangorestframework
for building a REST API on top of Djangodjango-webpack-loader
for rendering the bundled frontend assetsdjango-js-reverse
for easy handling of Django URLs on JSpsycopg2
for using PostgreSQL databasesentry-sdk
for error monitoringpython-decouple
for reading environment variables on settings filescelery
for background worker tasksdjango-debreach
for additional protection against BREACH attackwhitenoise
and brotlipy
for serving static assetsIf you wish to contribute to this project, please first discuss the change you wish to make via an issue.
Check our contributing guide to learn more about our development process and how you can test your changes to the boilerplate.
This project is maintained by Vinta Software and is used in products of Vinta's clients. We are always looking for exciting work, so if you need any commercial support, feel free to get in touch: [email protected]