The projects includes API testing on different set of API testing achieved through different python libraries. The tests folder contains scenarios on unit tests, API tests, contract data tests as essential areas of API testing.

The repository uses pytest as the test writing library for different scenarios using vscode as the IDE Set up pytest in VS code.

Before we set up Pytest in VS Code, you need to install the below prerequisites in your operating system-

• VS Code
• Python

To set up Pytest in VS Code, follow the steps described below- Check the pip version installed and use the set up version to work with pytest -

• Pip install pytest

Open your VS Code and search for Python on the extensions. You’ll find the Python extension at the top of the search result. Select and click install. This allows to work with python interact within VSCode and utilize Github copilot as an agent.

Now the Python extension installation will automatically install Pytest on your environment. All you need to do is just configure Pytest. Follow the below steps to configure Pytest. Click the flask icon on the left tool bar. You can find this once you open a repository that contains Python unit tests. Now click on “Configure Python Tests”, select pytest and the test code library. After configuring Pytest, VS Code will automatically discover your Unit Tests.

• To download and install requests, run this command from the terminal : pip install requests

Pytest is particularly effective in virtual environments when VSCode is utilized. A virtual environment is a way to create an environment that is built-in. A folder is created by a virtual environment that contains a copy to a specific interpreter. Installing packages in a virtual environment will result in a new folder that is isolated from other packages used by other workspaces. Working in virtual environments- open the Command Palette (⇧⌘P), search for the Python: Create Environment command, and select it

If you are creating an environment using Venv, the command presents a list of interpreters that can be used as a base for the new virtual environment. The Python: Select Interpreter command displays a list of available environments, select the virtual env

Set up requirements.txt for required packages

• pydantic - Data validation library for python
• requests - To get data from APIs
• pytest - python testing library
• jsonschema : to enable json structure for python
• pytest-html : plugin for pytest to generate HTML report for results
• pytest-cov : pytest plugin to render coverage reports.
• pre-commit : maange pre commit hooks

To install the set up: pip install -r requirements.txt

The report view provides report after execution of tests in TEST RESULTS tab in VScode. The results are in html format using pytest-html format of report structure with pytest-cov that gives stats on test execution and code coverage at the end of each run.