Web Test AutomationGrafana Automation Testing Project
Welcome!
This project is my final creation from a software testing and automation course I completed. I poured everything I learned into it to make it as useful and cool as possible. This project brings together automation for web and API testing, focusing on well-structured code, advanced tools, and reports that make the results easy to understand.
What Does This Project Do?
- Web UI Testing Automation: The project uses Selenium to validate the UI of web applications. It ensures that every button, text field, and form behaves exactly as it should.
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API Testing: Leveraging Python’s
requestslibrary, I tested various API calls to ensure the responses are correct and bug-free. - Data-Driven Testing: All tests are powered by CSV files, enabling the execution of multiple scenarios to make sure the application handles everything we throw at it.
- Fancy Reports: Allure was used to generate reports that show what passed, what failed, and where improvements are needed. This way, even if you're not a coding expert, you can still understand what's going on.
- Modularity and Readable Code: The project is built in a modular way, which means it’s easy to add new tests, features, or make adjustments without losing your mind.
How Is It Built?
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configuration/: Contains all the test configuration settings, from browser settings to Allure configurations. -
ddt/: Stores CSV files that provide all the data used for testing. -
extensions/: Custom actions like API calls, UI actions, and specific verification checks. -
page_objects/: Implements the Page Object Model (POM) to organize all page elements in a clean way. -
test_cases/: This is where all the test scripts live. It’s where the magic happens. -
utilities/: General tools that assist with managing the tests, like event listeners and configuration helpers. -
workflows/: Contains full test scenarios and business logic, all broken down in an organized manner.
Tools and Technologies
- Language: Python – classic and reliable.
- Automation: Selenium and Pytest for running browser-based tests.
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API Testing: Python's
requestslibrary. - Reporting: Allure – to make everything clear and easy to understand.
- Data: CSV format for flexible testing scenarios.
Getting Started
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Clone the repository:
git clone https://github.com/atiaron/Grafana-Automation-Testing.git
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Install the dependencies:
pip install -r requirements.txt
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Run the tests: Use Pytest to run all tests:
pytest --alluredir=allure-results
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Generate a report with Allure:
allure serve allure-results