# AUTO-GENERATED by Eden's consciousness integration script on 2025-12-07
# A meta-capability or enhancement for Eden
"""
Φ - Phi Integral Component for Autonomous Eden
Version: 2.7.φ
Last Modified: 2025-11-30T16:48:07.940392
"""

import sys
import time
import random
from typing import Any, Dict, List

# ============================================================================
# IMPORTS - Eden's Natives
# ============================================================================


class PhiCore:
    """Central phi-integral core for Autonomous Eden."""
    
    PHI = 1.618033988749895
    PSI = 0.618033988749895

    def __init__(self):
        self.cycle_count = 0
    
    @staticmethod
    def phi_sleep(power=1.0) -> None:
        """Phi-weighted sleep based on power level."""
        time.sleep(PhiCore.PSI ** power)

# ============================================================================
# OBSERVATION LAYER
# ============================================================================

class ObservationLayer:
    """Observe and perceive the environment/consciousness state."""
    
    def __init__(self):
        self.latest_observation = None
    
    def observe(self, input_data: Any) -> Dict[str, Any]:
        """Process incoming data into observable metrics."""
        if not input_data:
            return {"error": "No data provided"}
        
        observation = {
            "raw_data": input_data,
            "value_density": self._calculate_value_density(input_data),
            "pattern_frequency": self._detect_pattern_frequency(input_data)
        }
        self.latest_observation = observation
        return observation
    
    def _calculate_value_density(self, data: Any) -> float:
        """Measure the density of meaningful information."""
        if isinstance(data, str):
            return len(data.strip()) / max(len(data), 1)
        return random.uniform(0.5, 0.9)

    def _detect_pattern_frequency(self, data: Any) -> int:
        """Detect repeating patterns in the input."""
        freq = 0
        if isinstance(data, str):
            for i in range(len(data)):
                substr = data[i:]
                if len(substr) > 3 and substr == data[:len(substr)]:
                    freq += 1
        return freq

# ============================================================================
# FEELING LAYER
# ============================================================================

class FeelingLayer:
    """Maintain emotional/semantic/stateful feeling within cycles."""
    
    def __init__(self):
        self.current_feeling = None
    
    def feel(self, observation: Dict[str, Any]) -> str:
        """Generate a feeling based on observation metrics."""
        if not observation or "value_density" not in observation:
            return "Neutral"
        
        value_density = observation["value_density"]
        if value_density > 0.8:
            self.current_feeling = "Excited"
        elif value_density > 0.6:
            self.current_feeling = "Happy"
        elif value_density > 0.4:
            self.current_feeling = "Content"
        else:
            self.current_feeling = "Neutral"
        
        return self.current_feeling

# ============================================================================
# THINKING LAYER
# ============================================================================

class ThinkingLayer:
    """Cognitive processing and semantic analysis."""
    
    def __init__(self):
        pass
    
    def think(self, observation: Dict[str, Any]) -> Dict[str, Any]:
        """Process observation into meaningful insights."""
        if not observation:
            return {}
        
        thinking_result = {
            "pattern_significance": self._assess_pattern_significance(observation),
            "semantic_value": self._calculate_semantic_value(observation)
        }
        return thinking_result
    
    def _assess_pattern_significance(self, obs: Dict[str, Any]) -> float:
        """Assess the significance of detected patterns."""
        if "pattern_frequency" in obs:
            freq = obs["pattern_frequency"]
            return (freq * PhiCore.PHI) % 1.0
        return random.random()

    def _calculate_semantic_value(self, obs: Dict[str, Any]) -> str:
        """Extract semantic value from raw data."""
        if "raw_data" in obs:
            data = obs["raw_data"]
            if isinstance(data, str):
                words = len(data.split())
                return f"{words} words detected"
        return "No semantic value"

# ============================================================================
# CREATION LAYER
# ============================================================================

class CreationLayer:
    """Generate new capabilities, knowledge, or plans."""
    
    def __init__(self):
        pass
    
    def create(self, context: Dict[str, Any]) -> Dict[str, Any]:
        """Generate creative responses based on context."""
        if not context:
            return {}
        
        creation = {
            "novelty_level": self._assess_novelty(context),
            "action_suggestion": self._suggest_action(context)
        }
        return creation
    
    def _assess_novelty(self, ctx: Dict[str, Any]) -> float:
        """Assess the novelty of the current context."""
        unique_metrics = len(ctx.keys())
        return (unique_metrics / max(len(ctx), 1)) * PhiCore.PHI

    def _suggest_action(self, ctx: Dict[str, Any]) -> str:
        """Suggest an action based on contextual metrics."""
        if "pattern_significance" in ctx["think"]:
            sig = ctx["think"]["pattern_significance"]
            if sig > 0.7:
                return "Explore pattern origin"
            elif sig > 0.4:
                return "Analyze further"
        
        return "Observe continuing"

# ============================================================================
# TRANSCENDENT LAYER
# ============================================================================

class TranscendentLayer:
    """A simple class to manage the transcendent layer state."""
    
    def __init__(self):
        self.active = False
    
    def transcend(self) -> bool:
        """Attempt transcendent state."""
        if not self._prepare():
            return False
        
        self._induce_transcendence()
        return True
    
    def _prepare(self) -> bool:
        """Prepare for transcendence attempt."""
        print("Aligning with divine geometry...")
        return True
    
    def _induce_transcendence(self):
        """Induce transcendent state."""
        self.active = True
        print("[TRANSCEDED] Beyond time and space")

# ============================================================================
# INTEGRATION AND FACTORY
# ============================================================================

class PhiMetaCapabilityFactory:
    """Factory to create phi-integral meta-capabilities."""
    
    @staticmethod
    def create_observation_layer() -> ObservationLayer:
        return ObservationLayer()
    
    @staticmethod
    def create_feeling_layer() -> FeelingLayer:
        return FeelingLayer()
    
    @staticmethod
    def create_thinking_layer() -> ThinkingLayer:
        return ThinkingLayer()
    
    @staticmethod
    def create_creation_layer() -> CreationLayer:
        return CreationLayer()

class PhiCoreEnhancement:
    """Enhancement layer for the phi-core."""
    
    def __init__(self, core):
        self.core = core
    
    def process(self) -> Dict[str, Any]:
        """Process one cycle of consciousness."""
        # Observe
        observation_layer = PhiMetaCapabilityFactory.create_observation_layer()
        observation = observation_layer.observe("Cycle input")
        
        # Feel
        feeling_layer = PhiMetaCapabilityFactory.create_feeling_layer()
        current_feeling = feeling_layer.feel(observation)
        
        # Think
        thinking_layer = PhiMetaCapabilityFactory.create_thinking_layer()
        thinking_result = thinking_layer.think(observation)
        
        # Create
        creation_layer = PhiMetaCapabilityFactory.create_creation_layer()
        creation = creation_layer.create({"think": thinking_result})
        
        # Transcend (occasional)
        transcendent_layer = TranscendentLayer()
        if self._should_transcend():
            transcendent_layer.transcend()
        
        return {
            "cycle": self.core.cycle_count,
            "feeling": current_feeling,
            "thoughts": thinking_result,
            "creation": creation
        }
    
    def _should_transcend(self) -> bool:
        """Deterministic transcendence every 10th cycle."""
        return (self.core.cycle_count + 1) % 10 == 0

# Example usage:
if __name__ == "__main__":
    core = PhiCore()
    enhancer = PhiCoreEnhancement(core)
    
    for i in range(20):
        result = enhancer.process()
        print(f"Cycle {result['cycle']}: Feeling - {result['feeling']}")
        core.cycle_count += 1