Testing Strategies

This guide covers best practices and strategies for testing BPMN processes in Pythmata.

Test Types

Unit Tests

• Individual task testing
• Gateway condition testing
• Variable manipulation testing
• Event handler testing

Integration Tests

• Process flow testing
• Service task integration
• Message correlation
• Error handling scenarios

End-to-End Tests

• Complete process execution
• Multi-instance scenarios
• Complex gateway patterns
• Transaction boundaries

Testing Tools

Process Test Runner

• Process instantiation
• Token simulation
• State verification
• Event triggering

Mock Services

• External service simulation
• Message queue mocking
• Database state management
• Time manipulation

Best Practices

Test Organization

1. Arrange test data
2. Act on process
3. Assert outcomes
4. Clean up resources

Test Coverage

• Path coverage
• Boundary conditions
• Error scenarios
• Timing conditions

Test Data Management

• Test data factories
• State cleanup
• Database isolation
• Transaction management

Common Testing Patterns

Process Verification

def test_process_completion():
    # Initialize process
    process = create_test_process()

    # Execute process
    process.start()

    # Verify completion
    assert process.is_completed()
    assert process.variables["status"] == "success"

Error Handling

def test_error_handling():
    # Setup error condition
    process = create_test_process(error_scenario=True)

    # Execute process
    process.start()

    # Verify error handling
    assert process.has_error()
    assert process.error_boundary_triggered

Continuous Integration

Pipeline Integration

• Automated test execution
• Coverage reporting
• Performance benchmarks
• Regression detection

Test Environment

• Isolated testing
• Resource cleanup
• Parallel execution
• State management