Liberapay is a recurrent donations platform. We help you fund the creators and projects you appreciate.
Note: This webapp is not self-hostable.
You want to chat? Join us on Gitter. (If you use IRC, Gitter has a gateway, and we're also in the #liberapay channel on Freenode.)
Alternatively you can post a message in our GitHub salon.
You can help translate Liberapay via Weblate. Current status:
If you have questions about translating Liberapay, you can ask them in the salon.
Liberapay was originally forked from Gratipay and inherited its web micro-framework Pando (né Aspen), which is based on filesystem routing and simplates. Don't worry, it's quite simple. For example to make Liberapay return a Hello $user, your id is $userid message for requests to the URL /$user/hello, you only need to create the file www/%username/hello.spt with this inside:
from liberapay.utils import get_participant
[---]
participant = get_participant(state)
[---] text/html
{{ _("Hello {0}, your id is {1}", request.path['username'], participant.id) }}
As illustrated by the last line our default template engine is Jinja.
The _ function attempts to translate the message into the user's language and escapes the variables properly (it knows that it's generating a message for an HTML page).
The python code inside simplates is only for request-specific logic, common backend code is in the liberapay/ directory.
Firstly, make sure you have the following dependencies installed:
- python ≥ 2.7.12 (the code is compatible with python 3, but production still runs on python 2 for now)
- including the C headers of python and libffi, which are packaged separately in many Linux distributions
- postgresql 9.6 (see the official download & install docs)
- make
Then run:
make env
Now you need to give yourself superuser postgres powers (if it hasn't been done already), and create two databases:
su postgres -c "createuser --superuser $(whoami)"
createdb liberapay
createdb liberapay_tests
If you need a deeper understanding take a look at the Database Roles and Managing Databases sections of PostgreSQL's documentation.
Then you can set up the DB:
make schema
Environment variables are used for configuration, the default values are in
defaults.env and tests/test.env. You can override them in
local.env and tests/local.env respectively.
Once you've installed everything and set up the database, you can run the app:
make run
It should now be accessible at http://localhost:8339/.
You can create some fake users to make it look more like the real site:
make data
The python code interacts with the database by sending raw SQL queries through the postgres.py library.
The official PostgreSQL documentation is your friend when dealing with SQL, especially the sections "The SQL Language" and "SQL Commands".
The DB schema is in sql/schema.sql, but don't modify that file directly,
instead put the changes in sql/branch.sql. During deployment that script will
be run on the production DB and the changes will be merged into sql/schema.sql.
That process is semi-automated by release.sh.
For our styles we use SASS and Bootstrap 3. Stylesheets are in the style/ directory and our JavaScript code is in js/. Our policy for both is to have as little as possible of them: the website should be almost entirely usable without JS, and our CSS should leverage Bootstrap as much as possible instead of containing lots of custom rules that would become a burden to maintain.
We compile Bootstrap ourselves from the SASS source in the style/bootstrap/
directory. We do that to be able to easily customize it by changing values in
style/variables.scss. Modifying the files in style/bootstrap/ is probably
not a good idea.
The easiest way to run the test suite is:
make test
That recreates the test DB's schema and runs all the tests. To speed things up you can also use the following commands:
make pytestonly runs the python tests without recreating the test DBmake pytest-redoes the same but only runs the tests that failed in the previous run
Some of our tests include interactions with external services. In order to speed up those tests we record the requests and responses automatically using vcr. The records are in the tests/py/fixtures directory, one per test class.
If you add or modify interactions with external services, then the tests will fail, because VCR will not find the new or modified request in the records, and will refuse to record the new request by default (see Record Modes for more information). When that happens you can either switch the record mode from once to new_episodes (in liberapay/testing/vcr.py) or delete the obsolete fixture files.
If the new interactions are with MangoPay you have to delete the file tests/py/fixtures/MangopayOAuth.yml, otherwise you'll be using an expired authentication token and the requests will be rejected.
We depend on MangoPay for payments. If you want to modify that part of the code you'll need the MangoPay API documentation.
We use pip's Hash-Checking Mode to protect ourselves from dependency tampering. Thus when adding or upgrading a dependency the new hashes need to computed and put in the requirements file. For that you can use hashin:
pip install hashin
hashin package==x.y -r requirements_base.txt -p 2.7 -p 3.6
# note: we have several requirements files, use the right one
If for some reason you need to rehash all requirements, run make rehash-requirements.
Note: Liberapay cannot be self-hosted, this section is only meant to document how we deploy new versions.
Liberapay is currently hosted on AWS (Ireland).
To deploy the app simply run release.sh, it'll guide you through it. Of course you need to be given access first.
If you don't want to install directly dependencies on your machine, you can spin up a development environment easily, assuming you have Docker and docker-compose installed:
# build the local container
docker-compose build
# initialize the database
docker-compose run web bash recreate-schema.sh
# populate the database with fake data
docker-compose run web python -m liberapay.utils.fake_data
# launch the database and the web server
# the application should be available on http://localhost:8339
docker-compose up
You can also run tests in the DOcker environment:
docker-compose -f docker/tests.yml run tests
All arguments are passed to the underlying py.test command, so you can use -x for failing fast or --ff to retry failed tests first:
docker-compose -f docker/tests.yml run tests -x --ff