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A test function that validates the structure and behavior of a workflow progress tracking system for SQL query processing, including progress states, step transitions, and completion data.

Purpose

This function serves as a unit test to verify that the workflow progress tracking data structures are correctly formatted and functional. It tests three main aspects: (1) in-progress workflow state with current step tracking, (2) progress step mapping and status transitions based on completion percentage, and (3) final completion structure with results metadata. The test is designed to ensure that a SQL workflow system can properly track and report its execution state through various stages from parsing to finalization.

Source Code

def test_workflow_progress_structure():
    """Test the workflow progress structure"""
    print("=== Testing Enhanced SQL Workflow Progress Structure ===")
    
    try:
        # Test workflow data structure
        workflow_data = {
            'status': 'in_progress',
            'current_step': 'query_generation',
            'progress': 30,
            'message': 'Generating optimized SQL query...',
            'iterations': [],
            'start_time': '2025-10-06T19:00:00'
        }
        
        print("✅ Workflow data structure created successfully")
        print(f"   Status: {workflow_data['status']}")
        print(f"   Step: {workflow_data['current_step']}")
        print(f"   Progress: {workflow_data['progress']}%")
        print(f"   Message: {workflow_data['message']}")
        
        # Test progress steps mapping
        current_step = workflow_data['current_step']
        progress = workflow_data['progress']
        
        steps = {
            'parsing': 'waiting',
            'query_generation': 'waiting',
            'data_retrieval': 'waiting', 
            'quality_assessment': 'waiting',
            'optimization': 'waiting',
            'finalization': 'waiting'
        }
        
        # Update step statuses based on current progress
        if progress >= 10:
            steps['parsing'] = 'completed'
        if current_step == 'query_generation' or progress >= 30:
            steps['query_generation'] = 'active' if current_step == 'query_generation' else 'completed'
        if progress >= 50:
            steps['data_retrieval'] = 'completed' if progress > 50 else 'active'
        
        print("✅ Progress steps mapping working correctly")
        for step, status in steps.items():
            print(f"   {step}: {status}")
        
        # Test completion structure
        completion_data = {
            'status': 'completed',
            'current_step': 'completed',
            'progress': 100,
            'message': 'Enhanced workflow completed successfully!',
            'final_results': {
                'final_rows': 1000,
                'final_columns': 9,
                'quality_score': 95,
                'iterations_used': 1,
                'optimization_achieved': True,
                'analysis_ready': True
            }
        }
        
        print("✅ Completion structure created successfully")
        print(f"   Final rows: {completion_data['final_results']['final_rows']}")
        print(f"   Quality score: {completion_data['final_results']['quality_score']}")
        
        print("\n✅ All progress tracking structures working correctly!")
        
    except Exception as e:
        print(f"❌ Test failed: {str(e)}")
        import traceback
        traceback.print_exc()

Return Value

This function does not return any value (implicitly returns None). It performs validation through print statements and exception handling, outputting success messages (✅) or failure messages (❌) to stdout. If an exception occurs, it prints the error message and full traceback.

Dependencies

• traceback

Required Imports

import traceback

Usage Example

# Direct execution of the test function
test_workflow_progress_structure()

# Expected output includes:
# === Testing Enhanced SQL Workflow Progress Structure ===
# ✅ Workflow data structure created successfully
#    Status: in_progress
#    Step: query_generation
#    Progress: 30%
#    Message: Generating optimized SQL query...
# ✅ Progress steps mapping working correctly
#    parsing: completed
#    query_generation: active
#    data_retrieval: waiting
#    quality_assessment: waiting
#    optimization: waiting
#    finalization: waiting
# ✅ Completion structure created successfully
#    Final rows: 1000
#    Quality score: 95
# ✅ All progress tracking structures working correctly!

Best Practices

• This is a test function meant for validation purposes, not for production use
• The function uses print statements for output rather than assertions, making it suitable for manual inspection but not for automated test frameworks
• Consider adapting this to use unittest or pytest assertions for integration into a test suite
• The workflow steps (parsing, query_generation, data_retrieval, quality_assessment, optimization, finalization) represent a fixed pipeline that should match the actual workflow implementation
• Progress percentages are hardcoded in the test; ensure they align with actual workflow progress calculations
• The function catches all exceptions broadly - in production code, consider more specific exception handling

Tags

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