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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)
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