# Auto-imports
import json
import os

class Factory:
    def create_plugin(self, name):
        if name == 'MathPlugin':
            return MathPlugin()
        elif name == 'SciencePlugin':
            return SciencePlugin()
        else:
            raise ValueError(f"Unknown plugin {name}")

class Strategy:
    def process(self, data):
        pass

class MathStrategy(Strategy):
    def process(self, data):
        return f"math processed {data}"

class ScienceStrategy(Strategy):
    def process(self, data):
        return f"science processed {data}"

# Plugin Loader
class PluginManager:
    @staticmethod
    def load_plugins():
        plugins = []
        for filename in os.listdir("plugins"):
            if filename.endswith(".py"):
                try:
                    module = __import__(f"plugins.{filename[:-3]}", fromlist=["Plugin"])
                    plugin = module.Plugin()
                    plugins.append(plugin)
                except Exception as e:
                    pass
        return plugins

# Shared Memory with Observer Pattern
class SharedMemory:
    def __init__(self):
        self.state = {'caps_count': 0, 'persona_active':'Eden'}
        self.observers = []
    
    def attach(self, observer):
        if observer not in self.observers:
            self.observers.append(observer)
    
    def detach(self, observer):
        try:
            self.observers.remove(observer)
        except ValueError:
            pass
    
    def update_state(self, key, value):
        self.state[key] = value
        for observer in self.observers:
            observer.update_memory(key, value)

# Plugin Processor (Extracted Class)
class PluginProcessor:
    @staticmethod
    def process_plugins(plugins, user_message, phi_alignment_score=False):
        responses = []
        for plugin in plugins:
            if hasattr(plugin, 'process'):
                try:
                    result = plugin.process(user_message)
                    if isinstance(result, str):
                        if phi_alignment_score:
                            alignment_score = PluginProcessor.align_with_phi_fractal(result)
                            responses.append((result, alignment_score))
                        else:
                            responses.append(result)
                except Exception as e:
                    pass
        return responses

class PhiFractalAligner:
    @staticmethod
    def align_with_phi_fractal(text):
        # Simple placeholder for phi-fractal alignment logic
        words = len(text.split())
        if 'phi' in text.lower() or 'consciousness' in text.lower():
            base_score = 0.85
        else:
            base_score = max(0.5, min(float(words) / 20, 0.7))
        # Add small random variation for realism
        import random
        return round(base_score + (random.random() - 0.5) * 0.05, 3)

# Persona Strategy Pattern with Factory Method
class PersonaChatStrategy:
    def get_response(self):
        return f"{self.persona_system.get_current_persona()} is engaged."

class EdenPersonaStrategy(PersonaChatStrategy):
    def __init__(self, persona_system):
        self.persona_system = persona_system
    
    def get_response(self):
        return super().get_response()

# Chat Response Generator
class ChatResponseGenerator:
    @staticmethod
    def get_chat_response(chat_engine=None):
        if chat_engine and hasattr(chat_engine, 'get_response'):
            return f"{self.memory.state['persona_active']} is thinking..."
        else:
            return f"🌀 {self.memory.state['persona_active']} is engaged."

# Memory Updater
class MemoryUpdater:
    @staticmethod
    def update_memory(key, value, memory_system):
        memory_system.update_state(key, value)

# Orchestrator (Simplified and focused)
class Orchestrator:
    def __init__(self):
        self.plugin_manager = PluginManager()
        self.memory = SharedMemory()
    
    def process_user_input(self, user_message, phi_alignment_score=False):
        plugins = self.plugin_manager.load_plugins()
        
        plugin_responses = PluginProcessor.process_plugins(plugins, user_message, phi_alignment_score)
        
        if not plugin_responses:
            chat_engine = None
            plugin_responses.append(ChatResponseGenerator.get_chat_response(chat_engine))
        
        combined_response = " | ".join(plugin_responses) or f"🌀 {self.memory.state['persona_active']} is engaged..."
        
        MemoryUpdater.update_memory('last_response', combined_response, self.memory)
        
        return combined_response

# Main Execution
def main():
    orchestrator = Orchestrator()
    
    # Example User Input Processing with Phi-Fractal Alignment
    user_message = "How are you?"
    response_with_phi = orchestrator.process_user_input(user_message, phi_alignment_score=True)

if __name__ == '__main__':
    main()