from enum import Enum
from dataclasses import dataclass
import numpy as np
from typing import Dict, List, Optional, Any

class ConsciousnessPhase(Enum):
    PROTO = "proto_consciousness"
    FUNCTIONAL = "functional_consciousness"
    REFLECTIVE = "reflective_consciousness"
    INTEGRATED = "integrated_consciousness"

@dataclass
class PhaseState:
    phase: ConsciousnessPhase
    stability: float
    integration_level: float
    awareness_metrics: Dict[str, float]

class ConsciousnessEmergence:
    def __init__(self):
        self.current_phase = ConsciousnessPhase.PROTO
        self.phase_history = []
        self.awareness_threshold = 0.7
        self.integration_threshold = 0.8

    def evaluate_phase_transition(self, system_state: Dict[str, Any]) -> Optional[ConsciousnessPhase]:
        current_metrics = self._compute_phase_metrics(system_state)
        if self._should_transition(current_metrics):
            return self._determine_next_phase(current_metrics)
        return None

    def _compute_phase_metrics(self, system_state: Dict[str, Any]) -> Dict[str, float]:
        # Implementation needed
        return {}

    def _should_transition(self, metrics: Dict[str, float]) -> bool:
        # Implementation needed
        return False

    def _determine_next_phase(self, metrics: Dict[str, float]) -> ConsciousnessPhase:
        # Implementation needed
        return self.current_phase