|
|
| import os |
| import json |
| import random |
| from typing import Any, Dict, List |
|
|
| |
| 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): |
| |
| self.ethics = EthicalAIGovernance() |
|
|
| |
| self.self_improve = SelfImprovingAI() |
| self.data_processor = AdvancedDataProcessor() |
|
|
| |
| self.neuro_symbolic = NeuroSymbolicEngine() |
| self.creativity = AIDrivenCreativity() |
| self.sentiment = EnhancedSentimentAnalyzer() |
|
|
| |
| self.quantum_web = QuantumSpiderweb() |
| self.cocooner = CocoonerMain() |
|
|
| print("[IntegratedAICore] Initialized with all systems active.") |
|
|
| def process_query(self, query: str) -> str: |
| |
| sentiment_info = self.sentiment.detailed_analysis(query) |
|
|
| |
| reasoning_output = self.neuro_symbolic.integrate_reasoning(query) |
|
|
| |
| creative_output = self.creativity.write_literature(f"Respond to: {query}") |
|
|
| |
| 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)] |
| ) |
|
|
| |
| 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" |
| ) |
|
|
| |
| 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) |
|
|