--- title: Full development environment --- ## Backend To create a local development setup for authentik, you need the following: ### Requirements - Python 3.10 - poetry, which is used to manage dependencies, and can be installed with `pip install poetry` - Go 1.16 - PostgreSQL (any recent version will do) - Redis (any recent version will do) For PostgreSQL and Redis, you can use the docker-compose file in `scripts/`. You can also use a native install, if you prefer. ### Setup ```shell poetry shell # Creates a python virtualenv, and activates it in a new shell poetry install # Install all required dependencies, including development dependencies ``` To configure authentik to use the local databases, create a file in the authentik directory called `local.env.yml`, with the following contents ```yaml debug: true postgresql: user: postgres log_level: debug secret_key: "A long key you can generate with `pwgen 40 1` for example" ``` To apply database migrations, run `make migrate`. This is needed after the initial setup, and whenever you fetch new source from upstream. Afterwards, you can start authentik by running `make run`. authentik is now accessible under `localhost:9000`. Generally speaking, authentik is a Django application, ran by gunicorn, proxied by a Go application. The Go application serves static files. Most functions and classes have type-hints and docstrings, so it is recommended to install a Python Type-checking Extension in your IDE to navigate around the code. Before committing code, run `make lint` to ensure your code is formatted well. This also requires `pyright@1.1.136`, which can be installed with npm. Run `make gen` to generate an updated OpenAPI document for any changes you made. ## Frontend By default, no compiled bundle of the frontend is included. To build the UI, you need Node 14 or newer. To build the UI, run these commands: ``` cd web/ npm i npm run build ``` If you want to make changes to the UI, run `npm run watch` instead. To ensure the code is formatted well, run `npx eslint . --fix` and `npm run lit-analyse`.