Testing a Pet Store using Pytest

Introduction

This repository contains the code generated for the code interview tasks submitted for the IVR Test Analyst role for Digital Technology Solutions' customer Ally Financial. It was initially cloned from automationExamples/pytest-api-example. Detailed step-by-step instructions for testing the Pet Store API are provided, along with findings and observations for the assigned tasks in the Summary section of this README file.

Summary

• I propose introducing another method for updating orders. Presently, our only option is to utilize the PATCH call with the order ID, which can pose challenges as it limits updates to available orders only. However, what about scenarios where it's essential to modify orders with pending or sold statuses?

• I was unable to complete the task of creating a PATCH request in pytest. Despite using a valid order ID, the function I wrote consistently failed. I confirmed the request's functionality using cURL and Postman, both yielding positive results. Given more time, I would have resolved the issue. Meanwhile, I created test cases for the PATCH using Postman, covering all three statuses: pending, sold, and available. This approach allows the test cycle to proceed while I troubleshoot the pytest function. To resolve the issue, I will consult the API documentation, search online, discuss with QA peers, and as a last resort, seek advice from the API developer.

• As part of completing the tasks, I fixed the pet's name schema as it was of integer data type instead of string. Additionally, I created a schema for the orders so it can be validated.

• I am including the Postman collection I used to test the project in my submission. The collection is located here pytest-api-example/assets/Pytest-API-Example.postman_collection.json.

• I have also included screenshots of all the API calls I tested using Postman in the following location of the project: pytest-api-example/assets/screenshots.

Table of Contents

0. Introduction
1. System Requirements
2. Setup
3. Instructions
4. Summary

System Requirements

• Python 3.x.x

Setup

• Install Visual Studio Code (or any preferred editor):

  • Download Visual Studio Code.

• Install Python 3.x.x (latest):

  • Download Python.

• Clone the Repository:

  git clone https://github.com/ArenaHernandez/pet_store.git
  

• Recommended VSCode Extensions

  • Python
  • Pylance
  • autopep8

Instructions

• Open Two Terminal Instances: You'll need two terminal instances, one for running the local server and one for executing pytest.

• Start Local Server: In one terminal, start the local server by running:

  python app.py
  

• Access SwaggerUI: Once the server is running, access the SwaggerUI in a browser via the following URL:

  http://127.0.0.1:5000
  

• Run Tests: In the second terminal, run the following command to execute the tests. Upon completion, a 'report.html' will be generated:

  pytest -v --html=report.html
  

• View the test report: View Report