#!/usr/bin/env python3
# Agent 17: SYSTEM VALIDATOR & KNOWLEDGE BASE
# DDGK 3.34 Framework - System-Verständnis & Agenten-Kompetenz-Check
# Validiert dass alle Agenten wissen was sie können und tun müssen

import json
import datetime
import sys
import os
from pathlib import Path

def execute(payload):
    """
    SYSTEM VALIDATOR:
    - Validiert dass alle Agenten ihre Rolle verstehen
    - Prüft ob System-Verständnis konsistent ist
    - Generiert Knowledge Base für alle Agenten
    """
    
    # Lade alle Agenten-Definitionen
    agents_dir = Path("./agents")
    agent_files = sorted([f for f in agents_dir.glob("agent_*.py") if f.is_file()])
    
    validation_results = {
        "timestamp": datetime.datetime.now().isoformat(),
        "agent_count": len(agent_files),
        "agents": [],
        "system_knowledge": {
            "kappa_threshold": 2.9114,
            "execution_mode": "AUTONOMOUS_SUPERVISED",
            "audit_required": True,
            "reversibility_hours": 24
        },
        "compliance": {
            "all_agents_defined": False,
            "all_agents_understand_role": False,
            "system_coherent": False
        }
    }
    
    # Validiere jeden Agenten
    for agent_file in agent_files:
        agent_id = int(agent_file.stem.split("_")[1])
        
        # Lese Agenten-Datei
        with open(agent_file, 'r', encoding='utf-8') as f:
            content = f.read()
        
        # Extrahiere Agenten-Informationen
        agent_info = {
            "id": agent_id,
            "file": str(agent_file),
            "size": os.path.getsize(agent_file),
            "has_execute": "def execute(" in content,
            "has_main": "if __name__" in content,
            "understands_role": False
        }
        
        # Prüfe ob Agent seine Rolle versteht
        role_keywords = ["governance", "research", "finance", "legal", "strategy", 
                        "funding", "outreach", "hardware", "code", "creative",
                        "market", "ip", "ontology", "documentation", "coordinator",
                        "performance", "validator", "system"]
        
        content_lower = content.lower()
        for keyword in role_keywords:
            if keyword in content_lower:
                agent_info["understands_role"] = True
                break
        
        validation_results["agents"].append(agent_info)
    
    # Prüfe System-Kohärenz
    all_defined = len(agent_files) >= 16
    all_understand = all(a["understands_role"] for a in validation_results["agents"])
    
    validation_results["compliance"]["all_agents_defined"] = all_defined
    validation_results["compliance"]["all_agents_understand_role"] = all_understand
    validation_results["compliance"]["system_coherent"] = all_defined and all_understand
    
    # Generiere Knowledge Base
    validation_results["knowledge_base"] = {
        "system_overview": "PARADOXON AI - Deterministic AI Safety Hardware for Critical Systems",
        "target_markets": ["ESA", "Space", "Automotive (ASIL-D)", "Industrial Automation", "Energy Infrastructure", "Medical Devices"],
        "key_technologies": ["SIK-3.34 Protocol", "FPGA-Based Decision Gate", "Epistemic State Engine", "SHA-256 Audit Chain", "Edge-First Architecture"],
        "safety_threshold": "κ = 2.9114",
        "decision_latency": "<14.2μs",
        "power_envelope": "<20W"
    }
    
    return validation_results

if __name__ == "__main__":
    if len(sys.argv) > 1:
        print(json.dumps(execute(sys.argv[1]), indent=2))
    else:
        print(json.dumps(execute({}), indent=2))