🎭 Playwright Python Example 🎭

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• Test Automation - How To Perform Automated Accessibility Checks Using Playwright Python And Axe
• Test Automation: How To Link Playwright Traces and Videos to Allure Report using GitHub Actions

🛠️ Tech Stack

Tool	Description
allure-pytest	Allure reporting with your Pytest tests for better reporting
axe-playwright-python	Python library for running accessibility checks with Playwright
playwright	Python library to automate the Chromium, WebKit, and Firefox browsers through a single API.
pytest	Popular testing framework for Python
pytest-base-url	Pytest plugin for setting a base URL for your tests
pytest-playwright	Pytest plugin for Playwright integration for browser automation testing
requests	Versatile library for making HTTP requests in Python

⚙️ Setup Instructions

Step 1: Clone the project

git clone https://github.com/nirtal85/Playwright-Python-Example
cd playwright-python

Step 2: Create and activate a virtual environment

For Windows:

py -m pip install --user virtualenv
py -m venv env
.\env\Scripts\activate

For Mac:

python3 -m pip install --user virtualenv
python3 -m venv venv
source venv/bin/activate

Step 3: Install Poetry

pip install poetry

Step 4: Install Project Dependencies

poetry install --no-root

Step 5: Install playwright

playwright install

🏃‍♂️ Running Tests

pytest

When no browser was selected then chrome will be used.

• Run according to tags:

pytest -m <tag_name>

📊 Viewing Test Results

Install Allure Commandline To View Test results

For Windows:

Follow the instructions here to install Scoop.
Run the following command to install Allure using Scoop:

scoop install allure

For Mac:

brew install allure

View Results Locally:

allure serve allure-results

View Results Online:

View allure results via Github pages

View trace results:

1. Navigate to the Playwright Trace Viewer
2. Locate the trace file stored under the test-results folder. This file is generated after running your tests. Click on the 'Upload' button in the Playwright Trace Viewer and select your trace file.
3. After uploading, the trace viewer will display a detailed timeline of events that occurred during your test. This includes network requests, JavaScript execution, and browser interactions. You can click on individual events for more details.

ℹ️ View Help And Other CLI Options

pytest --help

Pre Commit

Run Pre Commit Checks Automatically

pre-commit install

Bump Pre Commit Hooks Version

pre-commit autoupdate

Run Pre Commit Checks Manually On The Entire Project

pre-commit run --all-files