All the details you need before participating with us during Hacktoberfest.
This is the back-end application for OperationCode.
We highly recommend joining our organization to receive an invite to our Slack team.
From there, you'll want to join the #oc-python-projects
and #oc-projects
channels.
You can get help from multiple professional developers, including people who have worked on the application since day 1!
Before contributing, please review our Contributing Guide
For information about the maintainers of the project, check out MAINTAINERS.md.
Recommended versions of tools used within the repo:
[email protected]
or greater (in some environments, you may need to specify version of python i.e.python test.py
vspython3 test.py
))[email protected]
or greater[email protected]
or greater- Poetry is a packaging and dependency manager, similar to pip or pipenv
- Poetry provides a custom installer that can be ran via
curl -sSL https://raw.githubusercontent.com/sdispater/poetry/master/get-poetry.py | python
- Alternatively, poetry can be installed via pip/pip3 with
pip install --user poetry
orpip3 install --user poetry
- See https://poetry.eustace.io/docs/
# Install dependencies (ensure poetry is already installed)
# if you are encountering an error with psycopg2 during poetry installation, ensure postgreqsql is installed (macOS: brew install postgresql)
poetry install
# Create database
# By default this creates a local sqlite database and adds tables for each of the defined models
# see example.env for database configurations
poetry run python src/manage.py migrate
# Create a superuser to add to the new database
poetry run python src/manage.py createsuperuser
# Run local development
poetry run python src/manage.py runserver
# Run testing suite
poetry run pytest
# Run formatting and linting
poetry run black .
# the next line shouldn't output anything to the terminal if it passes
poetry run flake8
poetry run isort -rc .
Running Bandit
Bandit is a tool designed to find common security issues in Python code.
From within the back-end/
directory you can run the following Bandit command:
bandit -r .
runs all bandit tests recursively with only filters defined in the.bandit
file.