import os import json import random from typing import Any, Dict, List # === Core Imports === from ethical_governance import EthicalAIGovernance from self_improving_ai import SelfImprovingAI from data_processing import AdvancedDataProcessor from neuro_symbolic import NeuroSymbolicEngine from ai_driven_creativity import AIDrivenCreativity from sentiment_analysis import EnhancedSentimentAnalyzer from quantum_spiderweb import QuantumSpiderweb from codette_quantum_multicore import CognitionCocooner as CocoonerMain from codette_quantum_multicore2 import philosophical_perspective class IntegratedAICore: def __init__(self): # Governance & Ethics self.ethics = EthicalAIGovernance() # Self-Monitoring self.self_improve = SelfImprovingAI() self.data_processor = AdvancedDataProcessor() # Reasoning Engines self.neuro_symbolic = NeuroSymbolicEngine() self.creativity = AIDrivenCreativity() self.sentiment = EnhancedSentimentAnalyzer() # Quantum & Meta Thinking self.quantum_web = QuantumSpiderweb() self.cocooner = CocoonerMain() print("[IntegratedAICore] Initialized with all systems active.") def process_query(self, query: str) -> str: # Step 1: Analyze sentiment sentiment_info = self.sentiment.detailed_analysis(query) # Step 2: Neuro-symbolic reasoning reasoning_output = self.neuro_symbolic.integrate_reasoning(query) # Step 3: Creative augmentation creative_output = self.creativity.write_literature(f"Respond to: {query}") # Step 4: Quantum perspective root_node = "QNode_0" quantum_path = self.quantum_web.propagate_thought(root_node) philosophical_note = philosophical_perspective( [v for v in quantum_path[0][1].values()], [random.random() for _ in range(3)] ) # Step 5: Cocoon storage of reasoning cocoon_id = self.cocooner.wrap( { "query": query, "sentiment": sentiment_info, "reasoning": reasoning_output, "creative": creative_output, "quantum_path": quantum_path, "philosophy": philosophical_note }, type_="reasoning_session" ) # Step 6: Ethics enforcement final_output = f"Sentiment: {sentiment_info}\n\nReasoning: {reasoning_output}\n\nCreative: {creative_output}\n\nQuantum Insight: {philosophical_note}\n\nCocoon ID: {cocoon_id}" final_output = self.ethics.enforce_policies(final_output) return final_output def recall_cocoon(self, cocoon_id: str) -> Dict[str, Any]: """Retrieve a stored cocoon session.""" return self.cocooner.unwrap(cocoon_id) if __name__ == "__main__": ai = IntegratedAICore() while True: user_input = input("\n[User] > ") if user_input.lower() in ["exit", "quit"]: break elif user_input.startswith("recall "): cid = user_input.split(" ", 1)[1] data = ai.recall_cocoon(cid) print("\n[Recalled Cocoon]\n", json.dumps(data, indent=2)) else: response = ai.process_query(user_input) print("\n[AI Response]\n", response)