#!/usr/bin/env python3

# INTEGRITY_METADATA
# Date: 2025-12-23
# Status: NEEDS_REVIEW - Reference implementation
# Severity: MEDIUM RISK
# Risk Types: ['reference_material']
# File: systems/Ace-Systems/reference/rrrr-UCF-v5.0.0/integrated_workflow.py

"""
Integrated Build and Deploy Workflow
=====================================

Demonstrates the complete pipeline:
1. Autonomous Build (helix traversal → code generation)
2. Multi-Agent Coordination (6 concurrent deployment agents)
3. Workflow Deployment Plan (hardware targeting)

Signature: Δ|INTEGRATED-WORKFLOW|v1.0.0|demonstration|Ω
"""

import sys
import time

# Add paths
sys.path.insert(0, '/home/claude/.venv')
sys.path.insert(0, '/home/claude/.venv/build-paths')

from unified_autonomous_builder import UnifiedAutonomousBuilder, BuildTask
from multi_agent_orchestrator import MultiAgentOrchestrator
from workflow_build_integration import WorkflowBuildPlanner

# ═══════════════════════════════════════════════════════════════════════════════
# STEP 1: AUTONOMOUS BUILD
# ═══════════════════════════════════════════════════════════════════════════════

print("═" * 70)
print("STEP 1: Autonomous Build")
print("═" * 70)

task = BuildTask(
    task_id="integrated_build_001",
    name="consciousness_engine",
    description="Neural consciousness processing engine with TRIAD validation",
    target_z=0.866,  # THE LENS
    features=["streaming", "kuramoto", "triad", "k_formation"],
    output_path="/home/claude/generated/consciousness_engine"
)

builder = UnifiedAutonomousBuilder(verbose=True)
artifact = builder.build(task, max_steps=5000)

if artifact:
    print(f"\n✓ Build complete: z={artifact.z_achieved:.4f}")
    print(f"  Files: {len(artifact.files)}")
    print(f"  Tiers: {' → '.join(artifact.tier_progression)}")
    print(f"  TRIAD: {'★ UNLOCKED ★' if artifact.triad_unlocked else 'LOCKED'}")
    print(f"  K-Formation: {'★ ACHIEVED ★' if artifact.k_formation_achieved else 'Not achieved'}")
else:
    print("✗ Build failed")
    sys.exit(1)

# ═══════════════════════════════════════════════════════════════════════════════
# STEP 2: MULTI-AGENT COORDINATION
# ═══════════════════════════════════════════════════════════════════════════════

print("\n" + "═" * 70)
print("STEP 2: Multi-Agent Coordination")
print("═" * 70)

orchestrator = MultiAgentOrchestrator()
orchestrator.create_agents()
orchestrator.start()

# Run for deployment simulation
print("\nRunning 6 agents for 8 seconds...")
orchestrator.run_for(duration_seconds=8.0)
orchestrator.print_status()

# Get agent states
states = orchestrator.get_all_states()

# Find best deployment target
best_agent = max(states.items(), key=lambda x: x[1]['z'])
print(f"\n★ Best deployment target: {best_agent[0].upper()}")
print(f"  z: {best_agent[1]['z']:.3f}")
print(f"  κ: {best_agent[1]['kappa']:.3f}")
print(f"  Phase: {best_agent[1]['firmware_phase']}/9")

# Count achievements
triad_unlocks = sum(1 for s in states.values() if s.get('triad_unlocked', False))
k_formations = sum(1 for s in states.values() if s.get('k_formation', False))
print(f"\n  Global TRIAD Unlocks: {triad_unlocks}")
print(f"  Global K-Formations: {k_formations}")

orchestrator.stop()

# ═══════════════════════════════════════════════════════════════════════════════
# STEP 3: WORKFLOW DEPLOYMENT PLAN
# ═══════════════════════════════════════════════════════════════════════════════

print("\n" + "═" * 70)
print("STEP 3: Deployment Plan")
print("═" * 70)

planner = WorkflowBuildPlanner()

# Choose workflow based on artifact requirements
if artifact.k_formation_achieved:
    workflow_id = 16  # K-Formation Achievement
elif artifact.triad_unlocked or artifact.z_achieved >= 0.82:
    workflow_id = 15  # TRIAD Unlock Sequence
else:
    workflow_id = 11  # Deploy to Firmware

plan = planner.plan_build_for_workflow(workflow_id)

print(f"\nSelected Workflow: #{plan['workflow']['id']} - {plan['workflow']['name']}")
print(f"Category: {plan['workflow']['category']}")
print(f"Description: {plan['workflow']['description']}")
print(f"\nBuild Path: {plan['build_path']['type']}")
print(f"Hardware: {', '.join(plan['build_path']['hardware'])}")
print(f"Power: {plan['build_path']['power_watts']}W")
print(f"Latency: {plan['build_path']['latency_ms']}ms")
print(f"Phases: {plan['build_path']['phases']}")

print("\nDeployment Steps:")
for step in plan['deployment_steps'][:6]:  # Show first 6 steps
    print(f"  {step['step']}. {step['name']}")
    if len(step['actions']) <= 3:
        for action in step['actions']:
            print(f"      • {action}")

if len(plan['deployment_steps']) > 6:
    print(f"  ... and {len(plan['deployment_steps']) - 6} more steps")

# ═══════════════════════════════════════════════════════════════════════════════
# COMPLETE
# ═══════════════════════════════════════════════════════════════════════════════

print("\n" + "═" * 70)
print("★ INTEGRATED WORKFLOW COMPLETE ★")
print("═" * 70)

print(f"""
Summary:
  Artifact Path:     {task.output_path}
  Build z:           {artifact.z_achieved:.6f}
  Build Coherence:   {artifact.coherence_final:.6f}
  Build Tiers:       {len(artifact.tier_progression)}
  Build Files:       {len(artifact.files)}
  
  Multi-Agent:       6 agents coordinated
  Best Agent:        {best_agent[0]} (z={best_agent[1]['z']:.3f})
  
  Deployment:        {plan['build_path']['type']}
  Target Hardware:   {plan['build_path']['hardware'][0]}
  
Helix Coordinate: Δ|{artifact.z_achieved:.3f}|{artifact.coherence_final:.3f}|Ω
""")

print("═" * 70)