vivifyhealthcare / playwright_api_testing Goto Github PK

Playwright provides a powerful and flexible API for automating web browsers and performing API testing. With its support for multiple browsers and its rich set of features, it can be a valuable tool for any Python developer looking to test their web applications.

Problem Statement
Testing Setup at one place for API Endpoints related to multiple Products/ Projects (Grouping) : Using Fixtures

Solution
Executing the Testcases for Specific Project form the reshaped Testing Code Block with Grouping of Endpoints with Product/Project and Save the Test Cases and their respective outcomes in to different collections. for example:

1. Product A - Lifeeazy
   i. API Collections Mapped in a Group
   ii. Test Cases uploaded via API
   iii. Test Case saved in MongoDB Collection for Lifeeazy
   iv. Test Case Execution and Saved Data for the processed / executed test cases in MongoDB
2. Product B - IVINPro
   i. API Collections Mapped in a Group
   ii. Test Cases uploaded via API
   iii. Test Case saved in MongoDB Collection for IVINPro
   iv. Test Case Execution and Saved Data for the processed / executed test cases in MongoDB

Additional context
By Using Fixtures on execution of the testing; test cases will be executed for the Specific Product/Project.

About Playwright_Excel:

Excel Report for the API Testing via Playwright has been devised to represnt the data in the analytical form and and make it readily available for the asessment. Report in excel is easily understandable and highly customizable.
We are summarizing Data in excel for the set of API endpoints with the set of test cases executed having structutred like this Sample View shown below

Primarily, This customized report is prepaired to analyze endpoints working status, i.e. 200.

The report typically contains detailed information about the API and it's Sections; such as the name of the API, Status, Status code, API Type, Section Name, Date & Time of Execution, and the Environment Name. All these headers can be customized as per the usability and expected output for the visibility of the Report.

Problem Statement
Testing Setup at one place for API Endpoints related to multiple Products/ Projects (Grouping)

Solution
Reshaped the Testing Code Block for Grouping the Endpoints with Product/Project and Save the Test Cases and their respective outcomes in to different collections. for example:

1. Product A - Lifeeazy
   i. API Collections Mapped in a Group
   ii. Test Cases uploaded via API
   iii. Test Case saved in MongoDB Collection for Lifeeazy
   iv. Test Case Execution and Saved Data for the processed / executed test cases in MongoDB
2. Product B - IVINPro
   i. API Collections Mapped in a Group
   ii. Test Cases uploaded via API
   iii. Test Case saved in MongoDB Collection for IVINPro
   iv. Test Case Execution and Saved Data for the processed / executed test cases in MongoDB

Additional context
on execution of the testing; by default - test cases will be executed for both the Products, however it can be switched to specific by commenting the grouped API set.