/back-end

OperationCode's main back-end server

Primary LanguagePythonMIT LicenseMIT

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Welcome!

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

Maintainers

For information about the maintainers of the project, check out MAINTAINERS.md.

Quick Start

Recommended versions of tools used within the repo:

  • python@3.7 or greater (in some environments, you may need to specify version of python i.e. python test.py vs python3 test.py))
  • git@2.17.1 or greater
  • poetry@0.12.11 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 or pip3 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.