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function test_result_type_compatibility

Maturity: 39

A test function that verifies result type compatibility between enhanced and standard workflows by comparing their result type strings.

File:
/tf/active/vicechatdev/full_smartstat/test_enhanced_data_loading.py
Lines:
59 - 69
Complexity:
simple

Purpose

This function serves as a unit test to ensure that both standard and enhanced workflows use compatible result types. It prints diagnostic information showing the result types from both workflows and confirms they match. This is useful for regression testing and validating that workflow refactoring hasn't introduced type incompatibilities.

Source Code

def test_result_type_compatibility():
    """Test that result types are compatible between enhanced and standard workflows"""
    print("\n=== Testing Result Type Compatibility ===")
    
    # Test the result types
    standard_result_type = "data_summary"
    enhanced_result_type = "data_summary"  # Now fixed to use same type
    
    print(f"✅ Standard workflow result type: {standard_result_type}")
    print(f"✅ Enhanced workflow result type: {enhanced_result_type}")
    print(f"✅ Types match: {standard_result_type == enhanced_result_type}")

Return Value

This function does not return any value (implicitly returns None). It performs its validation by printing output to stdout and relies on the caller to verify the printed results.

Usage Example

# Simply call the function to run the compatibility test
test_result_type_compatibility()

# Expected output:
# === Testing Result Type Compatibility ===
# ✅ Standard workflow result type: data_summary
# ✅ Enhanced workflow result type: data_summary
# ✅ Types match: True

Best Practices

  • This function is designed for testing/debugging purposes and should be called in test suites or during development
  • The function uses print statements for output rather than assertions, so it should be wrapped in proper test assertions if used in automated testing
  • Consider converting this to a proper unit test using pytest or unittest framework with actual assertions instead of print statements
  • The hardcoded result type values ('data_summary') suggest this test may need updating if workflow types change

Tags

testing validation compatibility workflow unit-test type-checking diagnostic

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