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How can you integrate Robot Framework with Excel for data-driven testing?

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Data-driven testing is a technique that allows you to run the same test case with different input and output values. This way, you can cover more scenarios and reduce the repetition of test steps. One of the tools that you can use for data-driven testing is Robot Framework, a generic open-source automation framework for software testing. Robot Framework supports various data sources, such as text files, CSV files, and Excel files. In this article, you will learn how to integrate Robot Framework with Excel for data-driven testing.

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Muhammad Daniyal Asif

SQA Engineer | Jira | Test Management | Functional Testing
RISHIKESH KUMAR

Salesforce Community Group Leader Vaishali | Quality Assurance (QA) | Manual Tester | 3X Salesforce Certified | Mentor|…

1 Install Robot Framework and Excel Library

To use Excel files as data sources for Robot Framework, you need to install both Robot Framework and Excel Library. Robot Framework is a Python-based framework that can be installed using pip, the Python package manager. Excel Library is a Robot Framework library that provides keywords for interacting with Excel files. You can also install Excel Library using pip. To install both tools, run the following commands in your terminal: pip install robotframework pip install robotframework-excellibrary

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Muhammad Daniyal Asif

SQA Engineer | Jira | Test Management | Functional Testing
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Integrating Robot Framework with Excel for data-driven testing involves Python's Excel libraries and Robot Framework's capabilities. Organize data in Excel sheets, install Python libraries like openpyxl or xlrd for reading and xlwt or xlsxwriter for writing. Create custom Robot Framework keywords to extract data and incorporate it into test cases. Ensure accurate result reporting. This integration streamlines testing, leveraging Excel within Robot Framework effectively.

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2 Create an Excel File with Test Data

Next, you need to create an Excel file with the test data that you want to use for your test cases. The Excel file should have a header row with the names of the variables that you will use in your test steps. For example, if you want to test a login functionality with different usernames and passwords, you can create an Excel file like this:

| Username | Password | Expected Result |

|----------|----------|-----------------|

| admin | admin123 | Success |

| guest | guest123 | Failure |

| user | user123 | Success |

Save the Excel file in the same folder as your Robot Framework test suite.

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Md Maruf Rahman

ISTQB? Certified Tester | QA Automation Engineer | Cypress | WebdriverIO | Selenium |
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To integrate Robot Framework with Excel for data-driven testing, begin by creating an Excel file containing test data. This file will hold various test scenarios, inputs, and expected outputs in a structured format. Each row can represent a unique test case, with columns for different variables such as input data, expected results, and any other relevant information. Save this Excel file in a location accessible to your Robot Framework test suite. By organizing test data in an Excel sheet, you can easily update and manage multiple test cases, enhancing the efficiency and maintainability of your data-driven tests.

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3 Import Excel Library and Open Excel File

In your Robot Framework test suite, you need to import the Excel Library and open the Excel file that you created. You can use the Library setting to import the Excel Library and the Test Setup setting to open the Excel file. For example, you can write something like this:

*** Settings ***
Library    ExcelLibrary
Test Setup    Open Excel    testdata.xlsx

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4 Loop Through the Rows and Read the Values

To perform data-driven testing, you need to loop through the rows of the Excel file and read the values of each cell. You can use the FOR loop syntax and the Get Row Count and Read Cell keywords from the Excel Library. For example, you can write something like this:

*** Test Cases ***
Data-Driven Login Test
    ${row_count}=    Get Row Count
    FOR    ${row}    IN RANGE    1    ${row_count}
        ${username}=    Read Cell    ${row}    0
        ${password}=    Read Cell    ${row}    1
        ${expected_result}=    Read Cell    ${row}    2
        Log    Username: ${username} Password: ${password} Expected Result: ${expected_result}
        # Write your test steps here using ${username}, ${password}, and ${expected_result}
    END

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5 Close Excel File and Report Results

After looping through the rows and executing the test steps, you need to close the Excel file and report the results. You can use the Test Teardown setting to close the Excel file and the BuiltIn library to report the results. For example, you can write something like this:

*** Settings ***
Library    BuiltIn
Test Teardown    Close Excel
*** Test Cases ***
Data-Driven Login Test
    # Same as before
        # Write your test steps here using ${username}, ${password}, and ${expected_result}
        Run Keyword And Continue On Failure    Should Be Equal    ${actual_result}    ${expected_result}
    END

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RISHIKESH KUMAR

Salesforce Community Group Leader Vaishali | Quality Assurance (QA) | Manual Tester | 3X Salesforce Certified | Mentor| Ex-NSS Group Leader & Campus Ambassador | Speaker |
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To close an Excel file and report results, use programming languages like Python or VBA to execute commands to close the file and generate a report.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you integrate Robot Framework with Excel for data-driven testing?

1

2

3

4

5

6

1 Install Robot Framework and Excel Library

2 Create an Excel File with Test Data

3 Import Excel Library and Open Excel File

4 Loop Through the Rows and Read the Values

5 Close Excel File and Report Results

6 Here’s what else to consider

Quality Assurance

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How can you integrate Robot Framework with Excel for data-driven testing?

1

2

3

4

5

6

1 Install Robot Framework and Excel Library

2 Create an Excel File with Test Data

3 Import Excel Library and Open Excel File

4 Loop Through the Rows and Read the Values

5 Close Excel File and Report Results

6 Here’s what else to consider

Quality Assurance

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