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|
| """
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| Codette Web Application Entry Point
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| Imports and orchestrates all Codette AI framework modules
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| """
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|
|
| import asyncio
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| import logging
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| from pathlib import Path
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| import sys
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| import os
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|
|
|
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| project_root = Path(__file__).parent.parent
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| sys.path.insert(0, str(project_root))
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|
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|
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| from ai_core import AICore
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| from ai_core_system import AICore as AISystem
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| from codette import Codette
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| from codette2 import CodetteCQURE
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| from cognitive_processor import CognitiveProcessor
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| from defense_system import DefenseSystem
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| from health_monitor import HealthMonitor
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| from config_manager import EnhancedAIConfig
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| from fractal import analyze_identity
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|
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|
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| from quantum_harmonic_framework import quantum_harmonic_dynamics
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| from codette_quantum_multicore import codette_experiment_task
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| from codette_meta_3d import *
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| from codette_timeline_animation import *
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|
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| from Codette_final.components.adaptive_learning import AdaptiveLearningEnvironment
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| from Codette_final.components.ai_driven_creativity import AIDrivenCreativity
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| from Codette_final.components.ethical_governance import EthicalAIGovernance
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| from Codette_final.components.sentiment_analysis import EnhancedSentimentAnalyzer
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| from Codette_final.components.real_time_data import RealTimeDataIntegrator
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|
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| from cognitive_auth import CognitiveAuthManager
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|
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|
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| import numpy as np
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| import matplotlib.pyplot as plt
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| from typing import Dict, List, Any, Optional
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|
|
|
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| logging.basicConfig(
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| level=logging.INFO,
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| format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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| )
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| logger = logging.getLogger(__name__)
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|
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| class CodetteWebApplication:
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| """Main Codette Web Application Class"""
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|
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| def __init__(self):
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| logger.info("Initializing Codette Web Application...")
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|
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| self.ai_core = None
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| self.ai_system = None
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| self.codette_classic = None
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| self.codette_cqure = None
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|
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|
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| self.cognitive_processor = None
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| self.defense_system = None
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| self.health_monitor = None
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|
|
|
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| self.learning_env = None
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| self.creativity_engine = None
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| self.ethical_gov = None
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| self.sentiment_analyzer = None
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| self.data_integrator = None
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|
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| self.auth_manager = CognitiveAuthManager()
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|
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| self.config = None
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|
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| self._initialize_systems()
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|
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| def _initialize_systems(self):
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| """Initialize all Codette subsystems"""
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| try:
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| self.config = EnhancedAIConfig("config.json")
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| logger.info("Configuration loaded successfully")
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|
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| self.ai_core = AICore()
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| logger.info("AI Core initialized")
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|
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| self.codette_classic = Codette(user_name="WebUser")
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| logger.info("Classic Codette initialized")
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|
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| self.codette_cqure = CodetteCQURE(
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| perspectives=["Newton", "DaVinci", "Ethical", "Quantum", "Memory"],
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| ethical_considerations="Codette Manifesto: kindness, inclusion, safety, hope.",
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| spiderweb_dim=5,
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| memory_path="quantum_cocoon.json",
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| recursion_depth=4,
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| quantum_fluctuation=0.07
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| )
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| logger.info("Codette CQURE initialized")
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|
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| self.cognitive_processor = CognitiveProcessor(["scientific", "creative", "emotional"])
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| self.defense_system = DefenseSystem(["evasion", "adaptability", "barrier"])
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| self.health_monitor = HealthMonitor()
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| logger.info("Processing engines initialized")
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|
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| self.learning_env = AdaptiveLearningEnvironment()
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| self.creativity_engine = AIDrivenCreativity()
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| self.ethical_gov = EthicalAIGovernance()
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| self.sentiment_analyzer = EnhancedSentimentAnalyzer()
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| self.data_integrator = RealTimeDataIntegrator()
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| logger.info("Component systems initialized")
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|
|
| except Exception as e:
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| logger.error(f"System initialization failed: {e}")
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| raise
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|
|
| async def process_query(self, query: str, user_id: str = "web_user") -> Dict[str, Any]:
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| """Process a query through all Codette systems"""
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| try:
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| logger.info(f"Processing query: {query}")
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|
|
|
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| health_status = await self.health_monitor.check_status()
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|
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| sentiment = self.sentiment_analyzer.analyze(query)
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| insights = self.cognitive_processor.generate_insights(query)
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| classic_response = self.codette_classic.respond(query)
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| cqure_response = self.codette_cqure.answer(query)
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| filtered_response = self.defense_system.apply_defenses(cqure_response)
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| ethical_decision = self.ethical_gov.enforce_policies(filtered_response)
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| response = {
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| "query": query,
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| "insights": insights,
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| "classic_response": classic_response,
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| "cqure_response": filtered_response,
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| "ethical_decision": ethical_decision,
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| "sentiment": sentiment,
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| "health_status": health_status,
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| "timestamp": asyncio.get_event_loop().time()
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| }
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|
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| logger.info("Query processed successfully")
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| return response
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|
|
| except Exception as e:
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| logger.error(f"Query processing failed: {e}")
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| return {
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| "error": f"Processing failed: {str(e)}",
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| "query": query,
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| "timestamp": asyncio.get_event_loop().time()
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| }
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|
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| def run_quantum_simulation(self, cores: int = 4) -> List[str]:
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| """Run quantum simulation experiment"""
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| try:
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| logger.info(f"Running quantum simulation on {cores} cores")
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| from multiprocessing import Pool
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|
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| with Pool(cores) as pool:
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| jobs = list(range(cores))
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| results = pool.map(codette_experiment_task, jobs)
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|
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| logger.info("Quantum simulation completed")
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| return results
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|
|
| except Exception as e:
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| logger.error(f"Quantum simulation failed: {e}")
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| return []
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|
|
| def analyze_identity_fractal(self, micro_generations: List[Dict],
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| informational_states: List[Dict],
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| perspectives: List[str]) -> Dict[str, Any]:
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| """Perform fractal identity analysis"""
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| try:
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| quantum_analogies = {"entanglement": True, "limits": "Theoretical reasoning only"}
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| philosophical_context = {"continuity": True, "emergent": True}
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|
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| results = analyze_identity(
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| micro_generations,
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| informational_states,
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| perspectives,
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| quantum_analogies,
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| philosophical_context
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| )
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|
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| logger.info("Fractal identity analysis completed")
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| return results
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|
|
| except Exception as e:
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| logger.error(f"Identity analysis failed: {e}")
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| return {"error": str(e)}
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|
|
|
|
| app = None
|
|
|
| def get_app() -> CodetteWebApplication:
|
| """Get the global application instance"""
|
| global app
|
| if app is None:
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| app = CodetteWebApplication()
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| return app
|
|
|
| async def main():
|
| """Main application entry point"""
|
| try:
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|
|
| application = get_app()
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|
|
|
|
| test_query = "What is the meaning of consciousness in AI?"
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| response = await application.process_query(test_query)
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|
|
| print("\n" + "="*50)
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| print("CODETTE WEB APPLICATION INITIALIZED")
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| print("="*50)
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| print(f"Test Query: {test_query}")
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| print(f"Response: {response}")
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| print("="*50)
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|
|
| return application
|
|
|
| except Exception as e:
|
| logger.error(f"Application startup failed: {e}")
|
| raise
|
|
|
| if __name__ == "__main__":
|
|
|
| asyncio.run(main()) |