aitbc/tests/e2e/test_mock_services.py

"""
Mock Services Test for E2E Testing Framework
Demonstrates the testing framework without requiring actual services
"""

import pytest
import asyncio
import time
from unittest.mock import AsyncMock, patch
from typing import Dict, Any


class MockServiceTester:
    """Mock service tester for framework demonstration"""
    
    def __init__(self):
        self.test_results = {}
    
    async def setup_test_environment(self) -> bool:
        """Mock setup - always succeeds"""
        print("🔧 Setting up mock test environment...")
        await asyncio.sleep(0.1)  # Simulate setup time
        print("✅ Mock test environment ready")
        return True
    
    async def cleanup_test_environment(self):
        """Mock cleanup"""
        print("🧹 Cleaning up mock test environment...")
        await asyncio.sleep(0.05)
    
    async def test_mock_workflow(self) -> Dict[str, Any]:
        """Mock workflow test"""
        print("\n🤖 Testing Mock Workflow...")
        
        workflow_start = time.time()
        
        # Simulate workflow steps
        steps = [
            {"name": "text_processing", "duration": 0.02, "success": True},
            {"name": "image_processing", "duration": 0.15, "success": True},
            {"name": "optimization", "duration": 0.05, "success": True},
            {"name": "marketplace_submission", "duration": 0.03, "success": True}
        ]
        
        results = {}
        successful_steps = 0
        
        for step in steps:
            print(f"  📝 Processing {step['name']}...")
            await asyncio.sleep(step['duration'])
            
            if step['success']:
                results[step['name']] = {
                    "status": "success",
                    "processing_time": f"{step['duration']}s"
                }
                successful_steps += 1
                print(f"    ✅ {step['name']} completed")
            else:
                results[step['name']] = {"status": "failed"}
                print(f"    ❌ {step['name']} failed")
        
        workflow_duration = time.time() - workflow_start
        success_rate = successful_steps / len(steps)
        
        return {
            "workflow_name": "mock_workflow",
            "total_steps": len(steps),
            "successful_steps": successful_steps,
            "success_rate": success_rate,
            "workflow_duration": workflow_duration,
            "results": results,
            "overall_status": "success" if success_rate >= 0.75 else "failed"
        }
    
    async def test_mock_performance(self) -> Dict[str, Any]:
        """Mock performance test"""
        print("\n🚀 Testing Mock Performance...")
        
        # Simulate performance measurements
        performance_tests = [
            {"operation": "text_processing", "time": 0.018, "target": 0.02},
            {"operation": "image_processing", "time": 0.142, "target": 0.15},
            {"operation": "gpu_acceleration", "speedup": 12.5, "target": 10.0},
            {"operation": "marketplace_transaction", "time": 0.028, "target": 0.03}
        ]
        
        results = {}
        passed_tests = 0
        
        for test in performance_tests:
            await asyncio.sleep(0.01)  # Simulate test time
            
            if "speedup" in test:
                meets_target = test["speedup"] >= test["target"]
                metric = f"{test['speedup']}x speedup"
                target_metric = f"≥{test['target']}x"
            else:
                meets_target = test["time"] <= test["target"]
                metric = f"{test['time']}s"
                target_metric = f"≤{test['target']}s"
            
            results[test["operation"]] = {
                "metric": metric,
                "target": target_metric,
                "meets_target": meets_target
            }
            
            if meets_target:
                passed_tests += 1
                print(f"    ✅ {test['operation']}: {metric} (target: {target_metric})")
            else:
                print(f"    ❌ {test['operation']}: {metric} (target: {target_metric})")
        
        success_rate = passed_tests / len(performance_tests)
        
        return {
            "test_type": "mock_performance",
            "total_tests": len(performance_tests),
            "passed_tests": passed_tests,
            "success_rate": success_rate,
            "results": results,
            "overall_status": "success" if success_rate >= 0.8 else "failed"
        }


@pytest.mark.asyncio
@pytest.mark.e2e
async def test_mock_workflow():
    """Test mock workflow to demonstrate framework"""
    tester = MockServiceTester()
    
    try:
        # Setup
        if not await tester.setup_test_environment():
            pytest.skip("Mock setup failed")
        
        # Run workflow
        result = await tester.test_mock_workflow()
        
        # Assertions
        assert result["overall_status"] == "success", f"Mock workflow failed: {result}"
        assert result["success_rate"] >= 0.75, f"Success rate too low: {result['success_rate']:.1%}"
        assert result["workflow_duration"] < 1.0, "Mock workflow took too long"
        
        print(f"✅ Mock workflow: {result['success_rate']:.1%} success rate")
        
    finally:
        await tester.cleanup_test_environment()


@pytest.mark.asyncio
@pytest.mark.e2e
@pytest.mark.performance
async def test_mock_performance():
    """Test mock performance benchmarks"""
    tester = MockServiceTester()
    
    try:
        # Setup
        if not await tester.setup_test_environment():
            pytest.skip("Mock setup failed")
        
        # Run performance tests
        result = await tester.test_mock_performance()
        
        # Assertions
        assert result["overall_status"] == "success", f"Mock performance failed: {result}"
        assert result["success_rate"] >= 0.8, f"Performance success rate too low: {result['success_rate']:.1%}"
        
        print(f"✅ Mock performance: {result['success_rate']:.1%} success rate")
        
    finally:
        await tester.cleanup_test_environment()


@pytest.mark.asyncio
@pytest.mark.e2e
async def test_mock_integration():
    """Test mock integration scenarios"""
    print("\n🔗 Testing Mock Integration...")
    
    # Simulate service integration test
    integration_tests = [
        {"service_a": "multimodal", "service_b": "gpu_multimodal", "status": "success"},
        {"service_a": "marketplace", "service_b": "adaptive_learning", "status": "success"},
        {"service_a": "openclaw", "service_b": "modality_optimization", "status": "success"}
    ]
    
    successful_integrations = 0
    
    for test in integration_tests:
        await asyncio.sleep(0.02)  # Simulate integration test time
        
        if test["status"] == "success":
            successful_integrations += 1
            print(f"    ✅ {test['service_a']} ↔ {test['service_b']}")
        else:
            print(f"    ❌ {test['service_a']} ↔ {test['service_b']}")
    
    integration_rate = successful_integrations / len(integration_tests)
    
    # Assertions
    assert integration_rate >= 0.8, f"Integration rate too low: {integration_rate:.1%}"
    
    print(f"✅ Mock integration: {integration_rate:.1%} success rate")


if __name__ == "__main__":
    # Run mock tests manually
    async def main():
        tester = MockServiceTester()
        
        try:
            if await tester.setup_test_environment():
                # Run workflow test
                workflow_result = await tester.test_mock_workflow()
                print(f"\n🎯 Workflow Result: {workflow_result['success_rate']:.1%} success")
                
                # Run performance test
                performance_result = await tester.test_mock_performance()
                print(f"🎯 Performance Result: {performance_result['success_rate']:.1%} success")
                
        finally:
            await tester.cleanup_test_environment()
    
    asyncio.run(main())