"""
JEDI Core Engine — The Brain of the Swarm

Integrates:
- Strategic planning (LLM-based)
- Swarm coordination (multi-agent RL)
- Threat analysis (pattern recognition)
- Legal gate (authorization enforcement)

Inspired by: Vitalis Cognitive Substrate + FSI_FELON Chimera
"""

import json
import time
import threading
import hashlib
from enum import Enum
from typing import Optional, Dict, List, Any
from datetime import datetime


class EngineState(Enum):
    IDLE = "idle"
    PLANNING = "planning"
    DEPLOYING = "deploying"
    ACTIVE = "active"
    PAUSED = "paused"
    EMERGENCY = "emergency"
    SHUTDOWN = "shutdown"


class ThreatLevel(Enum):
    NONE = 0
    LOW = 1
    MEDIUM = 2
    HIGH = 3
    CRITICAL = 4
    NATION_STATE = 5


class JEDIEngine:
    """
    The JEDI Core AI Engine coordinates all nanobot operations.
    
    Architecture:
    - Strategic Planner: Mission decomposition and resource allocation
    - Swarm Coordinator: Multi-agent orchestration and consensus
    - Threat Analyzer: Pattern recognition and adversary profiling
    - Legal Gate: Authorization verification and rules of engagement
    """
    
    def __init__(self, config: Optional[Dict] = None):
        self.config = config or self._default_config()
        self.state = EngineState.IDLE
        self.threat_level = ThreatLevel.NONE
        self.ledger = Ledger()
        self.active_missions = {}
        self.deployed_nanobots = {}
        self.swarm_memory = SwarmMemory()
        self._lock = threading.Lock()
        self._start_time = time.time()
        
        self.ledger.log("engine_init", {
            "version": "0.1.0",
            "config": self.config,
            "timestamp": datetime.utcnow().isoformat()
        })
    
    def _default_config(self) -> Dict:
        return {
            "max_nanobots": 1000,
            "max_concurrent_missions": 10,
            "heartbeat_interval": 30,
            "self_destruct_timeout": 3600,
            "legal_gate_required": True,
            "human_in_loop": True,
            "swarm_consensus_threshold": 0.7,
            "threat_auto_escalate": True,
            "encryption": "post_quantum",
            "audit_all_actions": True,
        }
    
    def assess_threat(self, intel: Dict) -> ThreatLevel:
        """Analyze incoming intelligence and assess threat level."""
        indicators = intel.get("indicators", [])
        confidence = intel.get("confidence", 0.0)
        
        score = 0
        for indicator in indicators:
            itype = indicator.get("type", "")
            severity = indicator.get("severity", 0)
            
            if itype == "nation_state_attribution":
                score += 50
            elif itype == "apt_group":
                score += 35
            elif itype == "ransomware":
                score += 30
            elif itype == "data_exfiltration":
                score += 25
            elif itype == "lateral_movement":
                score += 15
            elif itype == "suspicious_process":
                score += 10
            elif itype == "anomalous_traffic":
                score += 5
            
            score += severity
        
        score *= confidence
        
        if score >= 80:
            self.threat_level = ThreatLevel.NATION_STATE
        elif score >= 60:
            self.threat_level = ThreatLevel.CRITICAL
        elif score >= 40:
            self.threat_level = ThreatLevel.HIGH
        elif score >= 20:
            self.threat_level = ThreatLevel.MEDIUM
        elif score >= 5:
            self.threat_level = ThreatLevel.LOW
        else:
            self.threat_level = ThreatLevel.NONE
        
        self.ledger.log("threat_assessment", {
            "score": score,
            "level": self.threat_level.name,
            "indicators_count": len(indicators)
        })
        
        return self.threat_level
    
    def create_mission(self, mission_config: Dict) -> Dict:
        """Create a new mission with legal gate verification."""
        if self.config["legal_gate_required"]:
            from ..legal.gate import LegalGate
            gate = LegalGate()
            auth_result = gate.verify_authorization(mission_config)
            if not auth_result["authorized"]:
                return {
                    "error": "Authorization denied",
                    "reason": auth_result["reason"],
                    "required": auth_result["required_level"]
                }
        
        mission_id = hashlib.sha256(
            f"{time.time()}_{json.dumps(mission_config)}".encode()
        ).hexdigest()[:16]
        
        mission = {
            "id": mission_id,
            "config": mission_config,
            "status": "created",
            "created_at": datetime.utcnow().isoformat(),
            "nanobots_deployed": [],
            "intel_collected": [],
            "actions_taken": [],
            "authorization": auth_result if self.config["legal_gate_required"] else {"authorized": True},
        }
        
        with self._lock:
            self.active_missions[mission_id] = mission
        
        self.ledger.log("mission_created", {
            "mission_id": mission_id,
            "type": mission_config.get("type", "unknown"),
            "target": mission_config.get("target", "unknown")
        })
        
        return mission
    
    def deploy_nanobot(self, nanobot_type: str, mission_id: str, target: Dict) -> Dict:
        """Deploy a nanobot to a target."""
        from .nanobot import Nanobot, NanobotType
        
        if mission_id not in self.active_missions:
            return {"error": "Mission not found"}
        
        mission = self.active_missions[mission_id]
        if mission["status"] == "paused":
            return {"error": "Mission is paused"}
        
        bot = Nanobot(
            nanobot_type=NanobotType(nanobot_type),
            mission_id=mission_id,
            target=target
        )
        
        with self._lock:
            self.deployed_nanobots[bot.id] = bot
            mission["nanobots_deployed"].append(bot.id)
        
        self.ledger.log("nanobot_deployed", {
            "bot_id": bot.id,
            "type": nanobot_type,
            "mission_id": mission_id,
            "target": target.get("address", "unknown")
        })
        
        return {
            "bot_id": bot.id,
            "type": nanobot_type,
            "status": "deployed",
            "mission_id": mission_id
        }
    
    def get_situation_report(self) -> Dict:
        """Generate a comprehensive situation report."""
        uptime = time.time() - self._start_time
        return {
            "engine_state": self.state.value,
            "threat_level": self.threat_level.name,
            "uptime_seconds": round(uptime, 1),
            "active_missions": len(self.active_missions),
            "deployed_nanobots": len(self.deployed_nanobots),
            "mission_details": {
                mid: {
                    "status": m["status"],
                    "nanobots": len(m["nanobots_deployed"]),
                    "intel_count": len(m["intel_collected"]),
                    "actions": len(m["actions_taken"])
                }
                for mid, m in self.active_missions.items()
            },
            "nanobot_status": {
                bid: {
                    "type": b.nanobot_type.value,
                    "state": b.state,
                    "uptime": round(time.time() - b.deploy_time, 1)
                }
                for bid, b in self.deployed_nanobots.items()
            },
            "ledger_entries": len(self.ledger.entries),
            "config": self.config
        }
    
    def emergency_shutdown(self, reason: str):
        """Emergency shutdown of all operations."""
        self.state = EngineState.SHUTDOWN
        
        with self._lock:
            for bot_id, bot in self.deployed_nanobots.items():
                bot.self_destruct()
            for mission_id, mission in self.active_missions.items():
                mission["status"] = "emergency_shutdown"
        
        self.ledger.log("emergency_shutdown", {
            "reason": reason,
            "nanobots_terminated": len(self.deployed_nanobots),
            "missions_aborted": len(self.active_missions)
        })


class Ledger:
    """
    Cryptographic Conscience — Immutable audit trail.
    Inspired by Vitalis Core's Ledger system.
    Every action is SHA-256 hashed and chained.
    """
    
    def __init__(self):
        self.entries = []
        self._previous_hash = "0" * 64
    
    def log(self, event_type: str, data: Dict):
        entry = {
            "timestamp": datetime.utcnow().isoformat(),
            "event_type": event_type,
            "data": data,
            "previous_hash": self._previous_hash,
        }
        
        entry_str = json.dumps(entry, sort_keys=True)
        entry["hash"] = hashlib.sha256(entry_str.encode()).hexdigest()
        self._previous_hash = entry["hash"]
        self.entries.append(entry)
    
    def verify_integrity(self) -> bool:
        """Verify the entire ledger chain is unbroken."""
        previous = "0" * 64
        for entry in self.entries:
            if entry["previous_hash"] != previous:
                return False
            check = {k: v for k, v in entry.items() if k != "hash"}
            check_str = json.dumps(check, sort_keys=True)
            if hashlib.sha256(check_str.encode()).hexdigest() != entry["hash"]:
                return False
            previous = entry["hash"]
        return True
    
    def export(self) -> List[Dict]:
        return list(self.entries)


class SwarmMemory:
    """
    Shared memory across all nanobots in the swarm.
    Uses consensus-based writes to prevent corruption.
    """
    
    def __init__(self):
        self.store = {}
        self._lock = threading.Lock()
        self._write_votes = {}
    
    def read(self, key: str) -> Optional[Any]:
        with self._lock:
            return self.store.get(key)
    
    def write(self, key: str, value: Any, voter_id: str):
        """Consensus-based write — requires multiple nanobot votes."""
        with self._lock:
            if key not in self._write_votes:
                self._write_votes[key] = {}
            self._write_votes[key][voter_id] = value
            
            if len(self._write_votes[key]) >= 3:
                from collections import Counter
                values = list(self._write_votes[key].values())
                most_common = Counter([json.dumps(v, sort_keys=True) for v in values]).most_common(1)[0]
                self.store[key] = json.loads(most_common[0])
                del self._write_votes[key]
    
    def snapshot(self) -> Dict:
        with self._lock:
            return dict(self.store)