v1.0 - Version stable: multi-PC, détection UI-DETR-1, 3 modes exécution
- Frontend v4 accessible sur réseau local (192.168.1.40) - Ports ouverts: 3002 (frontend), 5001 (backend), 5004 (dashboard) - Ollama GPU fonctionnel - Self-healing interactif - Dashboard confiance Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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282
demo_integrated_execution.py
Executable file
282
demo_integrated_execution.py
Executable file
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#!/usr/bin/env python3
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"""Demo of integrated execution with analytics and self-healing."""
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import time
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from datetime import datetime, timedelta
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from dataclasses import dataclass
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from typing import Optional
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from core.analytics.integration import get_analytics_integration
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@dataclass
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class MockNode:
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"""Mock workflow node."""
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node_id: str
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action_type: str
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should_fail: bool = False
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@dataclass
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class MockWorkflow:
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"""Mock workflow."""
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workflow_id: str
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nodes: list
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@dataclass
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class ExecutionResult:
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"""Execution result."""
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success: bool
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error: Optional[str] = None
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class IntegratedExecutionDemo:
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"""Demo of integrated execution."""
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def __init__(self):
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"""Initialize demo."""
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self.analytics = get_analytics_integration(enabled=True)
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self.current_execution_id = None
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self.current_workflow_id = None
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print("=" * 60)
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print("Integrated Execution Demo")
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print("=" * 60)
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def execute_workflow(self, workflow: MockWorkflow) -> bool:
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"""
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Execute workflow with full analytics integration.
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Args:
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workflow: Workflow to execute
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Returns:
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True if successful
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"""
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print(f"\n🚀 Executing workflow: {workflow.workflow_id}")
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print(f" Total steps: {len(workflow.nodes)}")
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# 1. Start tracking
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self.current_workflow_id = workflow.workflow_id
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self.current_execution_id = self.analytics.on_execution_start(
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workflow_id=workflow.workflow_id,
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total_steps=len(workflow.nodes)
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)
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print(f" Execution ID: {self.current_execution_id}")
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started_at = datetime.now()
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steps_completed = 0
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steps_failed = 0
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try:
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# 2. Execute steps
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for i, node in enumerate(workflow.nodes):
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success = self._execute_step(node, i + 1)
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if success:
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steps_completed += 1
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else:
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steps_failed += 1
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# Show live metrics
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live_metrics = self.analytics.get_live_metrics(self.current_execution_id)
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if live_metrics:
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print(f" Progress: {live_metrics['progress_percent']:.1f}%")
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time.sleep(0.5) # Simulate work
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# 3. Complete successfully
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completed_at = datetime.now()
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duration = (completed_at - started_at).total_seconds()
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self.analytics.on_execution_complete(
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execution_id=self.current_execution_id,
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workflow_id=workflow.workflow_id,
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started_at=started_at,
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completed_at=completed_at,
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duration=duration,
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status='success',
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steps_completed=steps_completed,
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steps_failed=steps_failed
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)
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print(f"\n✅ Workflow completed successfully!")
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print(f" Duration: {duration:.2f}s")
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print(f" Steps completed: {steps_completed}")
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print(f" Steps failed: {steps_failed}")
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return True
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except Exception as e:
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# 4. Complete with failure
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completed_at = datetime.now()
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duration = (completed_at - started_at).total_seconds()
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self.analytics.on_execution_complete(
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execution_id=self.current_execution_id,
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workflow_id=workflow.workflow_id,
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started_at=started_at,
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completed_at=completed_at,
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duration=duration,
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status='failed',
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error_message=str(e),
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steps_completed=steps_completed,
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steps_failed=steps_failed
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)
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print(f"\n❌ Workflow failed: {e}")
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print(f" Duration: {duration:.2f}s")
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print(f" Steps completed: {steps_completed}")
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print(f" Steps failed: {steps_failed}")
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return False
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def _execute_step(self, node: MockNode, step_number: int) -> bool:
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"""
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Execute a single step with analytics.
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Args:
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node: Node to execute
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step_number: Step number
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Returns:
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True if successful
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"""
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print(f"\n Step {step_number}: {node.node_id} ({node.action_type})")
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# Notify step start
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self.analytics.on_step_start(
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execution_id=self.current_execution_id,
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node_id=node.node_id,
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step_number=step_number
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)
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step_start = datetime.now()
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# Simulate execution
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time.sleep(0.3)
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# Determine result
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if node.should_fail:
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success = False
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error_msg = f"Step {node.node_id} failed (simulated)"
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print(f" ❌ Failed: {error_msg}")
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else:
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success = True
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error_msg = None
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print(f" ✅ Success")
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# Notify step complete
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step_end = datetime.now()
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self.analytics.on_step_complete(
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execution_id=self.current_execution_id,
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workflow_id=self.current_workflow_id,
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node_id=node.node_id,
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action_type=node.action_type,
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started_at=step_start,
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completed_at=step_end,
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duration=(step_end - step_start).total_seconds(),
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success=success,
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error_message=error_msg
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)
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return success
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def show_workflow_stats(self, workflow_id: str):
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"""Show workflow statistics."""
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print(f"\n📊 Workflow Statistics: {workflow_id}")
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print("=" * 60)
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stats = self.analytics.get_workflow_stats(workflow_id, hours=1)
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if stats:
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perf = stats['performance']
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success = stats['success_rate']
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print(f"\nPerformance:")
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print(f" Average Duration: {perf['avg_duration']:.2f}s")
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print(f" Median Duration: {perf['median_duration']:.2f}s")
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print(f" P95 Duration: {perf['p95_duration']:.2f}s")
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print(f" P99 Duration: {perf['p99_duration']:.2f}s")
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print(f"\nSuccess Rate:")
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print(f" Total Executions: {success['total_executions']}")
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print(f" Successful: {success['successful_executions']}")
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print(f" Failed: {success['failed_executions']}")
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print(f" Success Rate: {success['success_rate']:.1f}%")
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print(f" Reliability Score: {success['reliability_score']:.1f}")
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if success['failure_categories']:
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print(f"\nFailure Categories:")
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for category, count in success['failure_categories'].items():
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print(f" - {category}: {count}")
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else:
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print(" No statistics available yet")
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def main():
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"""Run demo."""
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demo = IntegratedExecutionDemo()
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# Create test workflows
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workflows = [
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MockWorkflow(
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workflow_id="demo_workflow_1",
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nodes=[
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MockNode("step_1", "click"),
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MockNode("step_2", "type"),
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MockNode("step_3", "click"),
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]
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),
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MockWorkflow(
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workflow_id="demo_workflow_1",
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nodes=[
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MockNode("step_1", "click"),
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MockNode("step_2", "type"),
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MockNode("step_3", "click"),
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MockNode("step_4", "wait"),
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]
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),
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MockWorkflow(
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workflow_id="demo_workflow_1",
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nodes=[
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MockNode("step_1", "click"),
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MockNode("step_2", "type", should_fail=True), # This will fail
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MockNode("step_3", "click"),
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]
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),
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]
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# Execute workflows
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for i, workflow in enumerate(workflows, 1):
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print(f"\n{'='*60}")
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print(f"Execution {i}/{len(workflows)}")
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print(f"{'='*60}")
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demo.execute_workflow(workflow)
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time.sleep(1)
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# Show statistics
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demo.show_workflow_stats("demo_workflow_1")
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print(f"\n{'='*60}")
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print("Demo Complete!")
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print(f"{'='*60}")
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print("\nNext Steps:")
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print(" 1. Check the metrics database: data/analytics/metrics.db")
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print(" 2. View analytics: python demo_analytics.py")
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print(" 3. Generate reports: see ANALYTICS_QUICKSTART.md")
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print(" 4. Integrate with your ExecutionLoop: see ANALYTICS_INTEGRATION_GUIDE.md")
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if __name__ == '__main__':
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try:
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main()
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except KeyboardInterrupt:
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print("\n\nDemo interrupted by user")
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except Exception as e:
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print(f"\n\nError during demo: {e}")
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import traceback
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traceback.print_exc()
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