rpa_vision_v3/demo_integrated_execution.py

#!/usr/bin/env python3
"""Demo of integrated execution with analytics and self-healing."""

import time
from datetime import datetime, timedelta
from dataclasses import dataclass
from typing import Optional

from core.analytics.integration import get_analytics_integration


@dataclass
class MockNode:
    """Mock workflow node."""
    node_id: str
    action_type: str
    should_fail: bool = False


@dataclass
class MockWorkflow:
    """Mock workflow."""
    workflow_id: str
    nodes: list


@dataclass
class ExecutionResult:
    """Execution result."""
    success: bool
    error: Optional[str] = None


class IntegratedExecutionDemo:
    """Demo of integrated execution."""
    
    def __init__(self):
        """Initialize demo."""
        self.analytics = get_analytics_integration(enabled=True)
        self.current_execution_id = None
        self.current_workflow_id = None
        
        print("=" * 60)
        print("Integrated Execution Demo")
        print("=" * 60)
    
    def execute_workflow(self, workflow: MockWorkflow) -> bool:
        """
        Execute workflow with full analytics integration.
        
        Args:
            workflow: Workflow to execute
        
        Returns:
            True if successful
        """
        print(f"\n🚀 Executing workflow: {workflow.workflow_id}")
        print(f"   Total steps: {len(workflow.nodes)}")
        
        # 1. Start tracking
        self.current_workflow_id = workflow.workflow_id
        self.current_execution_id = self.analytics.on_execution_start(
            workflow_id=workflow.workflow_id,
            total_steps=len(workflow.nodes)
        )
        
        print(f"   Execution ID: {self.current_execution_id}")
        
        started_at = datetime.now()
        steps_completed = 0
        steps_failed = 0
        
        try:
            # 2. Execute steps
            for i, node in enumerate(workflow.nodes):
                success = self._execute_step(node, i + 1)
                
                if success:
                    steps_completed += 1
                else:
                    steps_failed += 1
                
                # Show live metrics
                live_metrics = self.analytics.get_live_metrics(self.current_execution_id)
                if live_metrics:
                    print(f"   Progress: {live_metrics['progress_percent']:.1f}%")
                
                time.sleep(0.5)  # Simulate work
            
            # 3. Complete successfully
            completed_at = datetime.now()
            duration = (completed_at - started_at).total_seconds()
            
            self.analytics.on_execution_complete(
                execution_id=self.current_execution_id,
                workflow_id=workflow.workflow_id,
                started_at=started_at,
                completed_at=completed_at,
                duration=duration,
                status='success',
                steps_completed=steps_completed,
                steps_failed=steps_failed
            )
            
            print(f"\n✅ Workflow completed successfully!")
            print(f"   Duration: {duration:.2f}s")
            print(f"   Steps completed: {steps_completed}")
            print(f"   Steps failed: {steps_failed}")
            
            return True
            
        except Exception as e:
            # 4. Complete with failure
            completed_at = datetime.now()
            duration = (completed_at - started_at).total_seconds()
            
            self.analytics.on_execution_complete(
                execution_id=self.current_execution_id,
                workflow_id=workflow.workflow_id,
                started_at=started_at,
                completed_at=completed_at,
                duration=duration,
                status='failed',
                error_message=str(e),
                steps_completed=steps_completed,
                steps_failed=steps_failed
            )
            
            print(f"\n❌ Workflow failed: {e}")
            print(f"   Duration: {duration:.2f}s")
            print(f"   Steps completed: {steps_completed}")
            print(f"   Steps failed: {steps_failed}")
            
            return False
    
    def _execute_step(self, node: MockNode, step_number: int) -> bool:
        """
        Execute a single step with analytics.
        
        Args:
            node: Node to execute
            step_number: Step number
        
        Returns:
            True if successful
        """
        print(f"\n   Step {step_number}: {node.node_id} ({node.action_type})")
        
        # Notify step start
        self.analytics.on_step_start(
            execution_id=self.current_execution_id,
            node_id=node.node_id,
            step_number=step_number
        )
        
        step_start = datetime.now()
        
        # Simulate execution
        time.sleep(0.3)
        
        # Determine result
        if node.should_fail:
            success = False
            error_msg = f"Step {node.node_id} failed (simulated)"
            print(f"      ❌ Failed: {error_msg}")
        else:
            success = True
            error_msg = None
            print(f"      ✅ Success")
        
        # Notify step complete
        step_end = datetime.now()
        self.analytics.on_step_complete(
            execution_id=self.current_execution_id,
            workflow_id=self.current_workflow_id,
            node_id=node.node_id,
            action_type=node.action_type,
            started_at=step_start,
            completed_at=step_end,
            duration=(step_end - step_start).total_seconds(),
            success=success,
            error_message=error_msg
        )
        
        return success
    
    def show_workflow_stats(self, workflow_id: str):
        """Show workflow statistics."""
        print(f"\n📊 Workflow Statistics: {workflow_id}")
        print("=" * 60)
        
        stats = self.analytics.get_workflow_stats(workflow_id, hours=1)
        
        if stats:
            perf = stats['performance']
            success = stats['success_rate']
            
            print(f"\nPerformance:")
            print(f"  Average Duration: {perf['avg_duration']:.2f}s")
            print(f"  Median Duration: {perf['median_duration']:.2f}s")
            print(f"  P95 Duration: {perf['p95_duration']:.2f}s")
            print(f"  P99 Duration: {perf['p99_duration']:.2f}s")
            
            print(f"\nSuccess Rate:")
            print(f"  Total Executions: {success['total_executions']}")
            print(f"  Successful: {success['successful_executions']}")
            print(f"  Failed: {success['failed_executions']}")
            print(f"  Success Rate: {success['success_rate']:.1f}%")
            print(f"  Reliability Score: {success['reliability_score']:.1f}")
            
            if success['failure_categories']:
                print(f"\nFailure Categories:")
                for category, count in success['failure_categories'].items():
                    print(f"  - {category}: {count}")
        else:
            print("  No statistics available yet")


def main():
    """Run demo."""
    demo = IntegratedExecutionDemo()
    
    # Create test workflows
    workflows = [
        MockWorkflow(
            workflow_id="demo_workflow_1",
            nodes=[
                MockNode("step_1", "click"),
                MockNode("step_2", "type"),
                MockNode("step_3", "click"),
            ]
        ),
        MockWorkflow(
            workflow_id="demo_workflow_1",
            nodes=[
                MockNode("step_1", "click"),
                MockNode("step_2", "type"),
                MockNode("step_3", "click"),
                MockNode("step_4", "wait"),
            ]
        ),
        MockWorkflow(
            workflow_id="demo_workflow_1",
            nodes=[
                MockNode("step_1", "click"),
                MockNode("step_2", "type", should_fail=True),  # This will fail
                MockNode("step_3", "click"),
            ]
        ),
    ]
    
    # Execute workflows
    for i, workflow in enumerate(workflows, 1):
        print(f"\n{'='*60}")
        print(f"Execution {i}/{len(workflows)}")
        print(f"{'='*60}")
        
        demo.execute_workflow(workflow)
        time.sleep(1)
    
    # Show statistics
    demo.show_workflow_stats("demo_workflow_1")
    
    print(f"\n{'='*60}")
    print("Demo Complete!")
    print(f"{'='*60}")
    print("\nNext Steps:")
    print("  1. Check the metrics database: data/analytics/metrics.db")
    print("  2. View analytics: python demo_analytics.py")
    print("  3. Generate reports: see ANALYTICS_QUICKSTART.md")
    print("  4. Integrate with your ExecutionLoop: see ANALYTICS_INTEGRATION_GUIDE.md")


if __name__ == '__main__':
    try:
        main()
    except KeyboardInterrupt:
        print("\n\nDemo interrupted by user")
    except Exception as e:
        print(f"\n\nError during demo: {e}")
        import traceback
        traceback.print_exc()