Skip to main content

A tool to create Model-W-compliant projects

Project description

Model W Project Maker

This project maker is the simplest way to start a Model W project.

The goal is to be extremely simple:

curl -s https://pypi.run/modelw-project-maker/model_w.project_maker | python3.13

This will ask you a few questions and create the project's directory for you.

Prerequisites

In order to execute the script, you need:

  • Python 3.13 (you can use pyenv to load it in your current shell)
  • Poetry (follow the instructions on their website)
  • Git (you know where to get it)
  • Git Flow (apt install git-flow or brew install git-flow depending on your OS)
  • Node and NPM (get it your favorite way)
  • PostgreSQL and Redis (if you enable the API side)

What to do next

Once the script is done, you'll have a directory with the project's name. You can then cd into it and start working on it.

Environment setup

You can start by installing the dependencies:

# If you enabled the API
cd api
poetry install
cd ..

# If you enabled the frontend
cd front
npm install

If you enabled the API, you then need to create the database:

sudo -u postgres psql -c "CREATE DATABASE <project_name>"
sudo -u postgres psql -c "CREATE USER <project_name> WITH LOGIN PASSWORD '<project_name>'"
sudo -u postgres psql -c "GRANT ALL PRIVILEGES ON DATABASE <project_name> TO <project_name>"

Finally, have a look at api/.env and/or front/.env and make sure that values there are correct.

For the Django side, until you add more settings by yourself to settings.py, you can use all the settings from the Model W Django Preset.

If you've enabled Wagtail, you need to configure the storage environment variables, which should be commented out in your .env. You need to check with someone in charge of the infrastructure to get those values (if it's yourself, you're in luck).

Django models customization

Something important in Django is to customize the User model to your needs. Even if you don't need it right now, you'll eventually be happy that you did it because you'll always need to add fields to it.

Thus one of the first things you should do is to go check in the people app's models the custom User model that is provided by default in this template. Modify it to your needs.

Note — If you modify the User model and you are not satisfied with the initial migration then you can delete it and create it anew. The only thing is that you'll have to manually add CreateExtension("citext") on top of the operations list in the 0001_initial.py migration file.

If you've enabled Wagtail, the same applies for the Image and Document models present in the cms app.

Still in Wagtail, the root page is replaced by a HomePage (defined in cms/models.py) in one of the migrations generated by the template. If that's not okay for you, now is the time to change it. However most likely it's going to be convenient for you, because otherwise you'll need to do it manually in Wagtail's admin. The only drawback is that when you'll want to add fields to the HomePage you will have to figure default values.

Once you've adjusted all the models to your needs, feel free to make the migrations and run them:

api/pmanage makemigrations
api/pmanage migrate

Note — You'll notice that there is a pmanage script in addition of the manage.py script. It's simply a wrapper to call manage.py through the Poetry virtual environment.

SvelteKit/Wagtail integration

If you have chosen a CMS, there will be a SvelteKit/Wagtail integration, using Wagtail's v2 API.

A [...cmsPath] directory will be created in the front directory, which is a catch-all for all the CMS paths.

Inside, $lib/components/ there is a cms directory, which contains the Svelte components for the CMS such as blocks and pages.

To make a CMS page work, create a component in the cms directory with the same name as the Wagtail page type, and it will automatically be imported and rendered when landing on a page of that type.

Contributing

If you're developing this package and you want to make a release, you can simply run:

make release VERSION=<version>

Then you'll still need to push the branches and tags.

Project details


Download files

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

Source Distribution

modelw_project_maker-2026.7.0.tar.gz (622.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

modelw_project_maker-2026.7.0-py3-none-any.whl (685.8 kB view details)

Uploaded Python 3

File details

Details for the file modelw_project_maker-2026.7.0.tar.gz.

File metadata

  • Download URL: modelw_project_maker-2026.7.0.tar.gz
  • Upload date:
  • Size: 622.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1018-azure

File hashes

Hashes for modelw_project_maker-2026.7.0.tar.gz
Algorithm Hash digest
SHA256 4f6691dff20557e722c9022e535b16506aa82bae199702015a2f69b2f5b2acbb
MD5 bb47d33f2bb4245337397b07802b0341
BLAKE2b-256 88e88892678af37acd0fae5af8418eabc112eadae0eb58b47e3c1d03bd252a5a

See more details on using hashes here.

File details

Details for the file modelw_project_maker-2026.7.0-py3-none-any.whl.

File metadata

File hashes

Hashes for modelw_project_maker-2026.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1f7979f957dd67e8b823e948ffac99d646589d1384a0179e37a10ee2e68bc42a
MD5 9e411e63db9f21f6579aadca514f5428
BLAKE2b-256 e0909d1d826940dfc3d79ec401e9601e9209c27e97b5769ecc460ea3c2b5e68c

See more details on using hashes here.

Supported by

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