Enhance Animal Guess Game with improved logic, random questions, and replay option #63

	name: lint-python-code

	on:
	pull_request:
	branches: [main]
	paths: [".py", ".ipynb"]
	workflow_call:

	jobs:
	python-linter:
	runs-on: ubuntu-latest
	steps:
	- name: Checking out repo
	uses: actions/checkout@v4.1.0

	- name: Set up Python
	uses: actions/setup-python@v6.0.0
	with:
	python-version: "3.12"

	- name: Install dependencies
	run: \|
	pip install flake8 nbqa pylint

	- name: Lint Python Code
	run: \|
	flake8 . --select=E901,E999,F821,F822,F823 --exclude=__init__.py
	env:
	FLAKE8_OPTIONS: "--ignore=E203,W503"

	- name: Getting PR details
	run: \|
	touch pr.json
	gh pr view $PR_NUMBER --json files > pr.json
	touch pr.json
	env:
	PR_NUMBER: ${{ github.event.pull_request.number }}
	GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

	- name: Linting all Jupyter Notebook files
	uses: jannekem/run-python-script-action@v1.7
	with:
	script: \|
	import os
	import sys
	import json
	import subprocess

	with open('pr.json', 'r') as pr_details:
	files = [
	f['path']
	for f in json.load(pr_details)['files']
	if f['path'].endswith('.ipynb') and os.path.exists(f['path'])
	]

	exit_codes = []
	for path in files:
	cmd = ['nbqa', 'pylint', *os.environ['LINTER_CONFIG'].split(),
	path, *os.environ['NBQA_CONFIG'].split()]
	result = subprocess.run(cmd, capture_output=True, text=True)
	print(result.stdout)
	if result.stderr:
	print(result.stderr, file=sys.stderr)
	exit_codes.append(result.returncode)

	sys.exit(int(any(exit_codes)))
	env:
	LINTER_CONFIG: "--disable=C,import-error,no-name-in-module --fail-under=8 --verbose --output-format=colorized"
	NBQA_CONFIG: "--nbqa-dont-skip-bad-cells"

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