rpa_vision_v3/demo_self_healing.py

#!/usr/bin/env python3
"""
Demo script for Self-Healing Workflows system.

This script demonstrates the key features of the self-healing system.
"""

import sys
from pathlib import Path
from datetime import datetime

# Add project root to path
sys.path.insert(0, str(Path(__file__).parent))

from core.healing.healing_engine import SelfHealingEngine
from core.healing.learning_repository import LearningRepository
from core.healing.confidence_scorer import ConfidenceScorer
from core.healing.recovery_logger import RecoveryLogger
from core.healing.models import RecoveryContext, RecoveryResult
from core.healing.execution_integration import get_self_healing_integration


def print_header(title: str):
    """Print a formatted header."""
    print("\n" + "=" * 70)
    print(f"  {title}")
    print("=" * 70)


def demo_confidence_scorer():
    """Demonstrate confidence scoring."""
    print_header("1. Confidence Scorer Demo")
    
    scorer = ConfidenceScorer()
    
    # Test text similarity
    print("\n📊 Text Similarity:")
    pairs = [
        ("Submit", "Submit"),
        ("Submit", "Send"),
        ("Submit", "Cancel"),
    ]
    
    for text1, text2 in pairs:
        similarity = scorer._text_similarity(text1, text2)
        print(f"  '{text1}' vs '{text2}': {similarity:.3f}")
    
    # Test confidence calculation
    print("\n📊 Recovery Confidence:")
    context = RecoveryContext(
        original_action='click',
        target_element='Submit Button',
        failure_reason='element_not_found',
        screenshot_path='/tmp/test.png',
        workflow_id='demo_workflow',
        node_id='node_1',
        attempt_count=1
    )
    
    strategies = ['semantic_variant', 'spatial_fallback', 'timing_adaptation']
    for strategy in strategies:
        confidence = scorer.calculate_recovery_confidence(strategy, context, 0.8)
        print(f"  {strategy}: {confidence:.3f}")


def demo_learning_repository():
    """Demonstrate learning repository."""
    print_header("2. Learning Repository Demo")
    
    import tempfile
    temp_dir = Path(tempfile.mkdtemp())
    repo = LearningRepository(temp_dir)
    
    # Store some patterns
    print("\n💾 Storing recovery patterns...")
    
    contexts_and_results = [
        (
            RecoveryContext(
                original_action='click',
                target_element='Submit',
                failure_reason='element_not_found',
                screenshot_path='/tmp/test1.png',
                workflow_id='workflow_1',
                node_id='node_1',
                attempt_count=1,
                metadata={'element_type': 'button'}
            ),
            RecoveryResult(
                success=True,
                strategy_used='semantic_variant',
                new_element='Send',
                confidence_score=0.85
            )
        ),
        (
            RecoveryContext(
                original_action='click',
                target_element='Login',
                failure_reason='element_moved',
                screenshot_path='/tmp/test2.png',
                workflow_id='workflow_1',
                node_id='node_2',
                attempt_count=1,
                metadata={'element_type': 'button'}
            ),
            RecoveryResult(
                success=True,
                strategy_used='spatial_fallback',
                confidence_score=0.75
            )
        ),
    ]
    
    for context, result in contexts_and_results:
        repo.store_pattern(context, result)
        print(f"  ✅ Stored: {result.strategy_used} for {context.failure_reason}")
    
    # Retrieve patterns
    print(f"\n📚 Total patterns stored: {len(repo.get_all_patterns())}")
    
    for pattern in repo.get_all_patterns():
        print(f"  - {pattern.recovery_strategy}: {pattern.success_rate:.1%} success rate")
    
    # Cleanup
    import shutil
    shutil.rmtree(temp_dir, ignore_errors=True)


def demo_recovery_strategies():
    """Demonstrate recovery strategies."""
    print_header("3. Recovery Strategies Demo")
    
    from core.healing.strategies import (
        SemanticVariantStrategy,
        SpatialFallbackStrategy,
        TimingAdaptationStrategy,
        FormatTransformationStrategy
    )
    
    # Semantic Variants
    print("\n🔤 Semantic Variant Strategy:")
    strategy = SemanticVariantStrategy()
    variants = strategy._get_semantic_variants('submit')
    print(f"  'submit' → {', '.join(variants[:5])}")
    
    variants = strategy._get_semantic_variants('login')
    print(f"  'login' → {', '.join(variants[:5])}")
    
    # Spatial Fallback
    print("\n📍 Spatial Fallback Strategy:")
    strategy = SpatialFallbackStrategy()
    print(f"  Search radii: {strategy.search_radii} pixels")
    
    # Timing Adaptation
    print("\n⏱️  Timing Adaptation Strategy:")
    strategy = TimingAdaptationStrategy()
    print(f"  Min wait: {strategy.min_wait}s")
    print(f"  Max wait: {strategy.max_wait}s")
    print(f"  Adaptation factor: {strategy.adaptation_factor}x")
    
    # Format Transformation
    print("\n🔄 Format Transformation Strategy:")
    strategy = FormatTransformationStrategy()
    print(f"  Date formats: {len(strategy.date_formats)} variations")
    print(f"  Phone formats: {len(strategy.phone_formats)} variations")


def demo_self_healing_engine():
    """Demonstrate self-healing engine."""
    print_header("4. Self-Healing Engine Demo")
    
    import tempfile
    temp_dir = Path(tempfile.mkdtemp())
    engine = SelfHealingEngine(storage_path=temp_dir)
    
    print(f"\n🔧 Engine initialized with {len(engine.recovery_strategies)} strategies")
    
    # Create a recovery context
    context = RecoveryContext(
        original_action='click',
        target_element='Submit Button',
        failure_reason='element_not_found',
        screenshot_path='/tmp/demo.png',
        workflow_id='demo_workflow',
        node_id='demo_node',
        attempt_count=1,
        confidence_threshold=0.7
    )
    
    print("\n🔍 Getting recovery suggestions...")
    suggestions = engine.get_recovery_suggestions(context)
    
    for i, suggestion in enumerate(suggestions, 1):
        print(f"  {i}. {suggestion.strategy}")
        print(f"     Confidence: {suggestion.confidence:.3f}")
        print(f"     Description: {suggestion.description}")
        print(f"     Est. time: {suggestion.estimated_time}s")
    
    # Cleanup
    import shutil
    shutil.rmtree(temp_dir, ignore_errors=True)


def demo_integration():
    """Demonstrate integration layer."""
    print_header("5. Integration Layer Demo")
    
    import tempfile
    temp_dir = Path(tempfile.mkdtemp())
    
    healing = get_self_healing_integration(
        storage_path=temp_dir / 'healing',
        log_path=temp_dir / 'logs',
        enabled=True
    )
    
    print("\n✅ Self-healing integration initialized")
    print(f"   Enabled: {healing.enabled}")
    
    # Get statistics
    stats = healing.get_statistics()
    print(f"\n📊 Statistics:")
    print(f"   Total attempts: {stats.get('total_attempts', 0)}")
    print(f"   Successful recoveries: {stats.get('successful_recoveries', 0)}")
    
    # Cleanup
    import shutil
    shutil.rmtree(temp_dir, ignore_errors=True)


def demo_complete_workflow():
    """Demonstrate a complete recovery workflow."""
    print_header("6. Complete Recovery Workflow Demo")
    
    import tempfile
    temp_dir = Path(tempfile.mkdtemp())
    
    # Initialize
    healing = get_self_healing_integration(
        storage_path=temp_dir / 'healing',
        log_path=temp_dir / 'logs',
        enabled=True
    )
    
    print("\n📝 Simulating workflow execution failure...")
    
    # Simulate a failure
    from core.execution.action_executor import ExecutionResult, ExecutionStatus
    
    action_info = {
        'action': 'click',
        'target': 'Submit Button',
        'element_type': 'button'
    }
    
    execution_result = ExecutionResult(
        status=ExecutionStatus.TARGET_NOT_FOUND,
        message='Element not found: Submit Button',
        duration_ms=100
    )
    
    print(f"   ❌ Action failed: {execution_result.message}")
    
    # Attempt recovery
    print("\n🔧 Attempting recovery...")
    recovery = healing.handle_execution_failure(
        action_info=action_info,
        execution_result=execution_result,
        workflow_id='demo_workflow',
        node_id='demo_node',
        screenshot_path='/tmp/demo.png',
        attempt_count=1
    )
    
    if recovery:
        if recovery.success:
            print(f"   ✅ Recovery successful!")
            print(f"      Strategy: {recovery.strategy_used}")
            print(f"      Confidence: {recovery.confidence_score:.3f}")
            print(f"      Time: {recovery.execution_time:.3f}s")
        else:
            print(f"   ❌ Recovery failed")
            print(f"      Reason: {recovery.error_message}")
    
    # Get insights
    print("\n💡 Insights:")
    insights = healing.get_insights()
    if insights:
        for insight in insights:
            print(f"   - {insight}")
    else:
        print("   - No insights yet (need more data)")
    
    # Cleanup
    import shutil
    shutil.rmtree(temp_dir, ignore_errors=True)


def main():
    """Run all demos."""
    print("\n" + "🎯" * 35)
    print("  SELF-HEALING WORKFLOWS - DEMONSTRATION")
    print("🎯" * 35)
    
    try:
        demo_confidence_scorer()
        demo_learning_repository()
        demo_recovery_strategies()
        demo_self_healing_engine()
        demo_integration()
        demo_complete_workflow()
        
        print("\n" + "=" * 70)
        print("  ✅ All demos completed successfully!")
        print("=" * 70)
        print("\n📚 For more information, see:")
        print("   - SELF_HEALING_IMPLEMENTATION.md")
        print("   - SELF_HEALING_QUICKSTART.md")
        print("\n")
        
    except Exception as e:
        print(f"\n❌ Error during demo: {e}")
        import traceback
        traceback.print_exc()
        return 1
    
    return 0


if __name__ == '__main__':
    sys.exit(main())