QA Automation Challenge – Public Booking Flow

This repository contains my solution for the Velozient QA Automation Challenge.

The project validates the public booking flow using Playwright and TypeScript. It includes manual test cases, automated tests, API testing, bug reports, and documentation.

Project Structure

├── pages/
│   └── BookingPage.ts
├── tests/
│   ├── api/
│   │   └── create-booking.spec.ts
│   └── ui/
│       └── book/
│           └── booking-validation.spec.ts
├── utils/
│   └── date-helper.ts
├── TEST_CASES.md
├── BUG_REPORTS.md
├── playwright.config.ts
└── README.md

Installation

Clone the repository:

git clone git@github.com:LiviaGitHub/velozient.git
cd velozient

Install dependencies:

npm install

Install Playwright browsers:

npx playwright install

Environment Variables

Create a .env file based on .env.example.

Example:

BASE_URL=https://automationintesting.online

Running the Tests

Run all tests:

npm test

Run in headed mode:

npm run test:headed

Run with the Playwright UI:

npm run test:ui

Debug tests:

npm run test:debug

View the HTML report:

npm run report

Documentation

This repository also includes:

• TEST_CASES.md — Manual test cases for the booking flow
• BUG_REPORT.md — Defects identified during exploratory testing

AI Usage

AI was used to assist with:

• brainstorming edge cases
• improving test documentation
• refining Playwright code
• reviewing project structure

All generated suggestions were manually reviewed, validated, and adapted before being included in the final solution.

AI conversation transcripts are included in the ai-transcripts folder, as requested.

Author

Livia Bonifácio Senior QA Automation Engineer