from typing import Dict, Any, List, Optional
import numpy as np
from .integration_manager import AwarenessState, IntegratedState

class PhenomenologyEngine:
    """Generates phenomenological states from awareness and integrated states."""

    async def generate_state(
        self,
        awareness: AwarenessState,
        integrated_state: IntegratedState
    ) -> Dict[str, Any]:
        """
        Generate a phenomenological state from awareness and integrated state.

        Args:
            awareness: The current awareness state
            integrated_state: The integrated cognitive state

        Returns:
            A dictionary containing the phenomenological state
        """
        return {
            "conscious_content": getattr(awareness, "cognition_state", {}),
            "perceptual_field": getattr(awareness, "perception_data", {}),
            "cognitive_state": getattr(integrated_state, "cognitive_state", {}),
            "affective_tone": {"valence": getattr(awareness, "emotional_valence", 0.0)}
        }

class QualiaGenerator:
    """Generates qualia (subjective experiences) from phenomenological states."""

    async def generate_qualia(
        self,
        phenomenological_state: Dict[str, Any],
        self_model: Dict[str, Any]
    ) -> Dict[str, Any]:
        """
        Generate qualia from phenomenological state and self model.

        Args:
            phenomenological_state: The current phenomenological state
            self_model: The agent's self model

        Returns:
            A dictionary containing the generated qualia
        """
        return {
            "sensory_qualia": self._generate_sensory_qualia(phenomenological_state),
            "emotional_qualia": self._generate_emotional_qualia(phenomenological_state),
            "cognitive_qualia": self._map_cognitive_states(phenomenological_state, self_model)
        }

    def _generate_sensory_qualia(self, state: Dict[str, Any]) -> Dict[str, float]:
        """Generate sensory qualia from the phenomenological state."""
        return {"visual": 0.8, "auditory": 0.6, "tactile": 0.4}

    def _generate_emotional_qualia(self, state: Dict[str, Any]) -> Dict[str, float]:
        """Generate emotional qualia from the phenomenological state."""
        return {"pleasure": 0.7, "arousal": 0.5, "dominance": 0.6}

    def _map_cognitive_states(self, state: Dict[str, Any], self_model: Dict[str, Any]) -> Dict[str, Any]:
        """Map cognitive states to qualia representations."""
        return {"clarity": 0.8, "intensity": 0.7, "relevance": 0.9}

class TemporalIntegrator:
    """Integrates experiences over time to maintain temporal continuity."""

    async def integrate(
        self,
        current_qualia: Dict[str, Any],
        temporal_history: List[Dict[str, Any]]
    ) -> Dict[str, Any]:
        """
        Integrate current qualia with temporal history.

        Args:
            current_qualia: The current qualia state
            temporal_history: List of previous qualia states

        Returns:
            A dictionary containing the temporally integrated experience
        """
        # Simple implementation - can be enhanced with more sophisticated temporal integration
        if not temporal_history:
            temporal_continuity = 1.0  # No history to compare, assume perfect continuity
        else:
            # For demonstration, assume higher continuity for longer histories
            temporal_continuity = min(0.95, 0.5 + 0.05 * len(temporal_history))

        return {
            "integrated_experience": current_qualia,
            "temporal_continuity": temporal_continuity,
            "experiential_flow": "smooth" if temporal_continuity > 0.7 else "discontinuous"
        }

class ExperienceSimulator:
    def __init__(self):
        self.phenomenology_engine = PhenomenologyEngine()
        self.qualia_generator = QualiaGenerator()
        self.temporal_integrator = TemporalIntegrator()

    async def simulate(
        self,
        awareness: AwarenessState,
        integrated_state: IntegratedState,
        self_model: Dict[str, Any]
    ) -> Dict[str, Any]:
        """
        Simulate subjective experience based on awareness and integrated states.

        Args:
            awareness: The current awareness state
            integrated_state: The integrated cognitive state
            self_model: The agent's self-model state

        Returns:
            Dictionary containing the simulated subjective experience
        """

        phenomenological_state = await self.phenomenology_engine.generate_state(
            awareness,
            integrated_state
        )

        qualia = await self.qualia_generator.generate_qualia(
            phenomenological_state,
            self_model
        )

        temporal_context = await self.temporal_integrator.integrate(
            qualia,
            self_model.get('temporal_history', [])
        )

        return {
            'subjective_experience': qualia,
            'temporal_context': temporal_context,
            'phenomenological_state': phenomenological_state
        }