Introduction

Why settle for less efficient testing methods when Robot Framework offers a streamlined, powerful alternative? This blog post delves into the reasons why adopting Robot Framework for testing scripts can revolutionize your development process. Covering everything from installation to executing a basic script in PyCharm, we offer a concise guide that showcases Robot Framework’s simplicity and efficiency.

Table of Contents

• Why Robot Framework?
• Why Robot Framework Selenium Library?
• Prerequisite Steps
  • Download and Install Python and PyCharm Editor
  • Install Robot Framework and its libraries
• Test Case Creation
  • PyCharm Project Setup
  • Install robot framework language server
  • Create a Robot file and write a test script
• Run the created Test Case and check the result
• Conclusion

Why Robot Framework?

Why Robot Framework Selenium Library?

Prerequisite Steps

Download and Install Python and Pycharm Editor

We’ve already covered the process of downloading and installing Python as well as how to setup Pycharm Editor. In our previous blog on Python with Selenium.

Install Robot Framework and its libraries

• Open the command prompt as administrator and enter the below commands to install the robot framework and its libraries.
  • pip install selenium
  • pip install robotframework
  • pip install robotframework-seleniumlibrary
• You can verify that the robot framework and its libraries are installed by entering the below command in the command prompt.
  • pip list

Test Case Creation

1. PyCharm Project Setup

• Enter the project name, choose the location of the project, Interpreter type as Project venv and click on the ‘Create’ button.

• Ensure that your created project is displayed like the image below.

2. Install Robot Framework Language Server

• Open ‘Settings’ from the ‘File’ menu or ‘Ctrl+Alt+s’ shortcut key.

• Select Plugins and click on the Marketplace tab

• Search for Robot Framework Language Server and click on Install

3. Create a Robot file and write a test script

• Create a new robot file with the name ‘LinearFlow.robot’ by selecting ‘File’ from the ‘File > New’ menu or by right-clicking on the project name and selecting ‘New’.

• Once a robot file is created, start writing basic test code as described below.

# Import files
*** Settings ***
Library     SeleniumLibrary

*** Variables ***
${expected_validation_message}      The field is required.
${expected_contact_us_header_text}  Let's talk

*** Test Cases ***

Verify Validation Message Displayed When User Click On Submit Button With Empty Fields
   # Launch browser and enter url
   Open Browser    url=https://jignect.tech/      browser=chrome

   # Maximize window and set default wait time
   Maximize Browser Window
   Set Browser Implicit Wait    30 Seconds

   # Verify web page is displayed
   Title Should Be    title=Software Testing Company | QA Services Ahmedabad     message=Title does not matched

   # Click on the contact us button and verify desired page is displayed
   Click Element    xpath=//ul[@id='menu-main-menu']//a[text()='Contact Us']
   ${actual_header_text}   Get Text    css=div[class='contact-title'] h2
   Should Be Equal As Strings    ${actual_header_text}    ${expected_contact_us_header_text}

   # Click on the submit button of contact us form
   Click Element    css=input[value='Submit']

   # Call the custom keyword and verify validation messages
   Assert Empty Field Validation Message    css:textarea[name*='textarea'] + span
   Assert Empty Field Validation Message    css:input[placeholder='Full name']+span
   Assert Empty Field Validation Message    css:input[placeholder='Work email address']+span
   Assert Empty Field Validation Message    css:input[placeholder='Company']+span
   Assert Empty Field Validation Message    css:input[placeholder='Phone number']+span
   Assert Empty Field Validation Message    css:div.checkboxErrormsg span#checkboxOne + Span

# Custom Keywords
*** Keywords ***
Assert Empty Field Validation Message
   [Arguments]     ${locator}
   Element Text Should Be    ${locator}    ${expected_validation_message}

Run the created Test Case and check the result

Test Run Results

• The results shown in the PyCharm Run tool window provide important information about the test run.
• As you can see, the test we created has passed and is functioning correctly as anticipated.
• By reviewing these results, we can understand which tests passed, failed, or were skipped. 
• This helps us improve our testing process and make our scripts better and more precise.

Conclusion