sovereign_stack.py

#!/usr/bin/env python3
"""
SOVEREIGN STACK - MASTER ORCHESTRATOR
Integrates: STEM_SCAFFOLDING + Coordinator + Worker Spawner + Frameworks

This is the APEX - the system that builds systems using heterogeneous swarms
"""

import sys
import json
from pathlib import Path

# Add paths for imports
sys.path.append(str(Path(__file__).parent))
sys.path.append(str(Path(__file__).parent / "core"))
sys.path.append(str(Path(__file__).parent / "swarm"))

from core.stem_scaffolder import StemScaffolder
from swarm.coordinator import CoordinatorEngine
from swarm.worker_spawner import DynamicWorkerSpawner

class SovereignStack:
    """
    The complete sovereign stack orchestrator
    
    Combines:
    - STEM_SCAFFOLDING: Axiom inversion system builder
    - Coordinator: Task routing & ISO-METRIC validation
    - Worker Spawner: Heterogeneous swarm execution
    - Your Frameworks: MoIE, CAE, ISAE, PRRE
    """
    
    def __init__(self):
        print("=" * 70)
        print("🌊 SOVEREIGN STACK - HETEROGENEOUS SWARM INTELLIGENCE")
        print("=" * 70)
        
        # Initialize all components
        print("\n📦 Initializing components...")
        self.scaffolder = StemScaffolder()
        self.coordinator = CoordinatorEngine()
        self.spawner = DynamicWorkerSpawner()
        
        print("\n✅ SOVEREIGN STACK ONLINE")
        print("=" * 70)
    
    def build_system(self, goal: str):
        """
        FULL PIPELINE: Axiom Inversion → Task Routing → Swarm Execution
        
        This is the recursive system builder in action
        """
        print(f"\n🎯 BUILDING SYSTEM: {goal}\n")
        print("=" * 70)
        
        # Phase 1: STEM SCAFFOLDING - Axiom Inversion
        print("\n📊 PHASE 1: AXIOM INVERSION VIA STEM_SCAFFOLDING")
        print("-" * 70)
        result = self.scaffolder.scaffold_system(goal)
        
        print(f"\n✅ Architecture generated:")
        print(f"   Axioms: {len(result['axioms'])}")
        print(f"   Inverted paradigms: {len(result['inverted_paradigms'])}")
        print(f"   Self-aware: {result['self_aware']}")
        
        # Phase 2: COORDINATOR - Task Routing
        print("\n🧠 PHASE 2: TASK ROUTING VIA COORDINATOR")
        print("-" * 70)
        
        # Convert build plan steps into tasks for the coordinator
        tasks = []
        for step in result['build_plan']['steps']:
            task = {
                "id": f"build_step_{step['phase']}",
                "description": step['action'],
                "command": step['command'],
                "priority": step['phase'],
                "potentially_harmful": False,
                "estimated_cost": 3,
                "estimated_value": 9,
                "necessity_score": 0.95
            }
            tasks.append(task)
            
            # Route each task through coordinator
            tier = self.coordinator.route_task(task)
            print(f"   Step {step['phase']}: {step['action'][:50]}... → {tier.upper()}")
        
        # Phase 3: SWARM EXECUTION (if any worker-tier tasks)
        worker_tasks = [t for t in tasks if "scan" in t['description'].lower() or "extract" in t['description'].lower()]
        
        if worker_tasks:
            print(f"\n🌊 PHASE 3: HETEROGENEOUS SWARM EXECUTION")
            print("-" * 70)
            print(f"   Worker tasks detected: {len(worker_tasks)}")
            print(f"   Would spawn {min(len(worker_tasks), 100)} BitNet workers in parallel")
            print(f"   Expected completion: ~30 seconds")
            
            # In production: spawner.spawn_swarm(worker_tasks, tier="worker")
        
        # Summary
        print(f"\n🎉 SYSTEM BUILD COMPLETE")
        print("=" * 70)
        print(f"Goal: {goal}")
        print(f"Architecture: {result['build_plan']['output']}")
        print(f"Build steps: {len(tasks)}")
        print(f"Total duration: {result['build_plan']['total_duration']}")
        print("=" * 70)
        
        return result
    
    def show_blueprint(self):
        """Display the complete sovereign stack architecture"""
        print("\n" + "=" * 70)
        print("📋 SOVEREIGN STACK ARCHITECTURE")
        print("=" * 70)
        print("""
Tier 1 (Worker Swarm)    → 50-100 BitNet instances (0.4GB each)
   ↓ Fast, parallel execution
   
Tier 2 (Reasoner Swarm)  → 5-10 Medium models (2-4GB each)
   ↓ Complex analysis & synthesis
   
Tier 3 (Strategist)      → API-based large models
   ↓ Breakthrough thinking
   
Coordinator Engine       → Always-on orchestrator (2GB)
   • Task routing
   • ISO-METRIC validation
   • Lifecycle management
   
STEM_SCAFFOLDING         → Recursive system builder
   • MoIE: Axiom inversion
   • CAE: Coherence amplification
   • ISAE: Self-awareness validation
   • PRRE: Pattern optimization
        """)
        print("=" * 70)


if __name__ == "__main__":
    # Initialize the complete stack
    stack = SovereignStack()
    
    # Show the blueprint
    stack.show_blueprint()
    
    # Example usage
    if len(sys.argv) > 1:
        goal = " ".join(sys.argv[1:])
        stack.build_system(goal)
    else:
        print("\n🧪 DEMO MODE - Building test system\n")
        
        # Demo: Build a code analyzer
        stack.build_system(
            "Build a code quality analyzer that scans Python codebases " +
            "for security vulnerabilities and technical debt using swarm intelligence"
        )