fit-configurations

February 21, 2026 · View on GitHub

Configuration module for the FIT Project, built using PySide6.

This module provides the graphical interface for configuring settings used by the FIT application.

🐍 Dependencies

Main dependencies are:

See pyproject.toml for full details.

Local checks (same as CI)

Run these commands before opening a PR, so failures are caught locally first.

What each tool does

  • pytest: runs automated tests (unit, contract, and integration suites).
  • ruff: checks code style and common static issues (lint).
  • mypy: performs static type checking on annotated Python code.
  • bandit: scans source code for common security anti-patterns.
  • pip-audit: checks installed dependencies for known CVEs.

1) Base setup

python3 -m venv .venv
source .venv/bin/activate
python -m pip install -U pip
pip install . pytest ruff mypy "bandit[toml]" pip-audit

2) Test suite

export QT_QPA_PLATFORM=offscreen

# unit tests
pytest -m unit -q tests

# contract tests
pytest -m contract -q tests

# integration tests (requires fit-assets package)
pytest -m integration -q tests

# end-to-end smoke tests
pytest -m e2e -q tests

3) Quality and security checks

ruff check fit_configurations tests
mypy fit_configurations
bandit -c pyproject.toml -r fit_configurations -q -ll -ii
PIPAPI_PYTHON_LOCATION="$(python -c 'import sys; print(sys.executable)')" \
  python -m pip_audit --progress-spinner off

Note: pip-audit may print a skip message for fit-common and fit-assets because it is a local package and not published on PyPI.

Installation

    python3 -m venv .venv
    source .venv/bin/activate
    pip install --upgrade pip
    pip install poetry
    poetry lock
    poetry install
    poetry run python main.py