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Python 3.13+ PyTest Playwright Allure TestOps

E2E Test Automation Project for HRM System

by DarliRo

This project is for writing and running automated tests using Pytest & Playwright (TBD)

Initial Setup

  • Install Python (version 3.13+)
  • Install PDM for dependency management
  • Create and activate a virtual environment: python3 -m venv .venv && source .venv/bin/activate
  • Install project dependencies: pdm lock && pdm sync
  • Set up pre-commit hooks (auto-code check before commit): pre-commit install -f
  • Create a .env file to store and retrieve environment variables: touch .env

Running Tests Locally

Through Terminal:

  • Basic Run: pytest -sv tests/path_to_file_or_directory
  • Run with Browser UI / Headed: pytest -sv --headed tests/path_to_file_or_directory
  • Run with Slow Interactions / Debug:pytest -sv --headed --slowmo 500 tests/path_to_file_or_directory
  • Generate Allure Reports: pytest -sv --alluredir=allure-results tests/path_to_file_or_directory

Running Tests in GitHub Actions

Manual Run:

  • Go to GitHub Actions page
  • Find the desired workflow (e.g., UI Tests)
  • Click the Run workflow button
  • Select the branch you want to run
  • Click Run workflow again to trigger the execution

Allure Report Setup

  • Install Allure Report
  • Generate a report based on the latest test run: allure generate allure-results --clean -o allure-report
  • Open the report locally: allure open allure-report

Code Linting and Formatting with ruff

  • Check Code Quality: ruff check path_to_file_or_folder
  • Autofix Errors: ruff check path_to_file_or_folder --fix
  • Format Code: ruff format path_to_file_or_folder --fix

Tips:

  • Usage of conftest.py: At each level of the tests folder, you can place a conftest.py with fixtures or hooks specific to that level of testing
  • Simulating Debug Runs: Use --headed and --slowmo options to visually debug tests with browser UI and control interaction speeds

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