.woodpecker | ||
collector | ||
config | ||
docs | ||
requirements | ||
.env.ci | ||
.env.test | ||
.envrc.sample | ||
.gitignore | ||
justfile | ||
manage.py | ||
pyproject.toml | ||
README.md |
Teilchensammler: Collect parts in a list
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Development
This project makes use of several tools:
- direnv is used to set up environment variables and activate the virtualenv. I recommend installing it and integrate it into your favourite shell.
- just is used as a task runner.
- woodpecker-cli is used to lint
.woodpecker/workflow.yaml
. It is available from homebrew. - pytest is the test runner. Invoke it using
just test
(any arguments will be passed through to pytest). Several pytest-plugins are used:
Getting started
Python
Have Python >= 3.12 installed. I recommend pyenv (which in turn is easily installed by homebrew).
PostgreSQL
Set up PostgreSQL, a role and a schema.
I have it on localhost, using the project name for role and schema name, and
password. Using a VM, docker or even a remote instance is possible: See
.env.test
for providing connection information.
Get the code
Clone the repo. cd
into the project directory. (direnv should activate the
virtualenv.) Run python -m pip install -U pip
to upgrade pip. Then python -m pip install -r requirements/dev.txt
.
Launch the dev server: just serve
(or python -m django runserver
when you
don't have just).
Making changes
Change code, settings, templates, dependencies as you see fit. Run just lint
repeatedly. Don't forget migrations. Commit often. Please add tests.
Using the App
just serve
and open
localhost:8000/ in your browser. Start
entering Teile.
Dependency management
This project uses pip-compile-multi for hard-pinning dependencies versions.
Please see its documentation for usage instructions. In short,
requirements/prod.in
contains the list of direct requirements with occasional
version constraints (like Django<2
) and requirements/prod.txt
is
automatically generated from it by adding recursive tree of dependencies with
fixed versions. The same goes for test
and dev
.
To upgrade dependency versions, run just deps
(or pip-compile-multi --uv
).
And to install those packages run just sync
. To run both of those:
just deps sync
# OR
just fd
# OR
just freshdeps
To add a new dependency without upgrade, add it to the appropriate .in file and
run pip-compile-multi --no-upgrade
(no just recipe yet).
Installing dependencies
For installation of dependencies always use requirement/*.txt
files.
For example, the command pip install -U -r requirements/dev.txt
will install
testing requirements and development tools.
A useful command is pip-sync requirements/dev.txt
, it uninstalls packages
from your virtualenv that aren't explicitly specified as dependencies.
More on tools that are used
These are not strictly necessary but very convenient.
Direnv (automatic venv)
When direnv is integrated into the shell entering the project directory for the first time will cause direnv to create a hidden directory for the virtual environment.
It will also activate that existing virtualenv automatically upon entering the project directory.
Subshells or Shells started from Editors
If your editor spawns a shell window or new terminal, it might be necessary to
direnv reload
before running any commands. This will make sure direnv has
things set up. neovim's terminal requires this.
just
just is used as a task runner. Think "makefile" but less confusing. (make is a build tool and task runner and much more, just intends to be a task runner.)
If you don't want to install just, you can still look at its justfile
to see
how test runners, linters, dev servers and such are to be executed.