💾 Add caching logic to the static content view
Boost.org Website
Overview
A Django based website that will power https://boost.org
Local Development Setup
This project will use Python 3.11, Docker, and Docker Compose.
NOTE: All of these various docker compose commands, along with other helpful
developer utility commands, are codified in our justfile and can be ran with
less typing.
You will need to install just, by following the documentation
Copy file env.template to .env and adjust values to match your local environment:
$ cp env.template .env
NOTE: Double check that the exposed port assigned to the PostgreSQL container does not clash with a database or other server you have running locally.
Then run:
# start our services (and build them if necessary)
$ docker compose up
# to create a superuser
$ docker compose run --rm web python manage.py createsuperuser
# to create database migrations
$ docker compose run --rm web python manage.py makemigrations
# to run database migrations
$ docker compose run --rm web python manage.py migrate
This will create the Docker image, install dependencies, start the services defined in docker-compose.yml, and start the webserver.
Cleaning up
To shut down our database and any long running services, we shut everyone down using:
$ docker compose down
Environment Variables
See Environment Variables for more information on environment variables.
Running the tests
To run the tests, execute:
$ docker compose run --rm web pytest
or run:
$ just test
Yarn and Tailwind
To install dependencies, execute:
$ yarn
For development purposes, in a secondary shell run the following yarn script configured in package.json which will build styles.css with the watcher.
$ yarn dev
For production, execute:
$ yarn build
Generating Fake Data
Versions and LibraryVersions
First, make sure your GITHUB_TOKEN is set in you .env file and run ./manage.py update_libraries. This takes a long time. See below.
Run ./manage.py generate_fake_versions. This will create 50 active Versions, and associate Libraries to them.
The data created is realistic-looking in that each Library will contain a M2M relationship to every Version newer than the oldest one it's included in. (So if a Library's earliest LibraryVersion is 1.56.0, then there will be a LibraryVersion object for that Library for each Version since 1.56.0 was released.)
This does not add VersionFile objects to the Versions.
Libraries, Pull Requests, and Issues
There is not currently a way to generate fake Libraries, Issues, or Pull Requests. To generate those, use your GitHub token and run ./manage.py update_libraries locally to pull in live GitHub data. This command takes a long time to run; you might consider editing libraries/github.py to add counters and breaks to shorten the runtime.
Deploying
TDB
Production Environment Considerations
TDB
Pre-commit
Pre-commit is configured for the following
- Black
- Ruff
- Djhtml for cleaning up django templates
- Rustywind for sorting tailwind classes
Add the hooks by executing pre-commit install