How do you perform data-driven testing in Robot Framework?

Data-driven testing in Robot Framework allows you to execute the same test logic with multiple sets of input data. This is extremely useful for testing various scenarios, boundary conditions, and data combinations without having to write repetitive test cases. Here are the primary ways to achieve data-driven testing in Robot Framework:

1. Using FOR Loops:

  • Simplest Approach: For basic data-driven testing, you can use FOR loops to iterate over a list of values or dictionaries.

    ***Test Cases***
    Data Driven Test with List
        @{users}    Create List    user1    user2    user3
        FOR    ${user}    IN    @{users}
            Log    Testing with user: ${user}
            # Perform test steps using ${user}
    
    Data Driven Test with Dictionary
        &{user_data}    Create Dictionary    name=John    age=30    city=New York
        FOR    ${key}    ${value}    IN    &{user_data}
            Log    ${key}: ${value}
            # Perform test steps using ${key} and ${value}

2. Using Test Template:

  • More Structured: The Test Template setting allows you to define a keyword that acts as a template for your test cases. You then provide the data in the ***Test Cases*** section, and Robot Framework automatically creates test cases for each data row.

    ***Settings***
    Test Template    Login with User
    
    ***Test Cases***
    Valid User 1    user1    password123
    Valid User 2    user2    another_password
    Invalid User    invalid_user    wrong_password
    
    ***Keywords***
    Login with User
        [Arguments]    ${username}    ${password}
        Input Text    username_field    ${username}
        Input Password    password_field    ${password}
        Click Button    login_button
        # Assertions based on login result

  • In this example, the Login with User keyword is used as a template. Robot Framework will generate three test cases: "Valid User 1," "Valid User 2," and "Invalid User," each with the corresponding data.


3. Using External Data Files:

  • Most Powerful: For larger datasets, it's best to store the data in external files (CSV, Excel, etc.) and then read it into your tests.

    • CSV:

      ***Settings***
      Library    Collections
      
      ***Test Cases***
      Data Driven Test from CSV
          @{data}    Get Lines From File    test_data.csv
          FOR    ${row}    IN    @{data}
              @{values}    Split String    ${row}    ,
              ${username}    Set Variable    ${values}[0]
              ${password}    Set Variable    ${values}[1]
              Log    User: ${username}, Password: ${password}
              # Perform test steps
    • Excel: You can use the ExcelLibrary (install it: pip install robotframework-excellibrary) to read data from Excel files.

      ***Settings***
      Library    ExcelLibrary
      
      ***Test Cases***
      Data Driven Test from Excel
          Open Excel    test_data.xlsx
          ${sheet}    Read Excel Sheet    Sheet1
          FOR    ${row}    IN    @{sheet}
              ${username}    Set Variable    ${row}[0]
              ${password}    Set Variable    ${row}[1]
              Log    User: ${username}, Password: ${password}
              # Perform test steps
          Close Excel

       

4. Using the DataDriver Library:

  • Advanced and Feature-Rich: The DataDriver library (install it: pip install robotframework-datadriver) provides a more comprehensive solution for data-driven testing. It allows you to easily read data from various sources (CSV, Excel, JSON, YAML) and create test cases dynamically.

    ***Settings***
    
    Library    DataDriver    file=test_data.csv
    
    ***Test Template***
    Login with User
    
    ***Test Cases***  # These will be generated based on the CSV data
    
    ***Keywords***
    Login with User
        [Arguments]    ${username}    ${password}
        # Test steps
    

     

Key Considerations:

  • Data Source: Choose the data source that best suits your needs and the size of your dataset.
  • Data Format: Ensure that your data is properly formatted for parsing (e.g., correct delimiters in CSV, proper structure in JSON).
  • Variable Handling: Use variables to store and access the data within your test cases.
  • Test Case Naming: When using Test Template or DataDriver, Robot Framework will automatically generate test case names. You can customize these names using placeholders from your data.
  • Error Handling: Implement proper error handling to manage situations where data might be missing or invalid.