src/codette_imports.py

#!/usr/bin/env python3
"""
Codette Framework Imports Module
Centralized import management for all Codette AI components
"""

import sys
import logging
from pathlib import Path
from typing import Dict, Any, List, Optional

# Setup logging
logger = logging.getLogger(__name__)

# Core AI System
try:
    from ai_core import AICore
    from ai_core_system import AICore as AISystemCore
    from ai_core_identityscan import AICore as AIIdentityCore
except ImportError as e:
    logger.warning(f"Core AI imports failed: {e}")
    AICore = AISystemCore = AIIdentityCore = None

# Codette Core
try:
    from codette import Codette
except ImportError as e:
    logger.warning(f"Codette core import failed: {e}")
    Codette = None

# Essential Components
try:
    from cognitive_processor import CognitiveProcessor 
    from cognitive_auth import CognitiveAuthManager
    from defense_system import DefenseSystem
    from health_monitor import HealthMonitor
    from config_manager import EnhancedAIConfig
except ImportError as e:
    logger.warning(f"Essential components import failed: {e}")
    CognitiveProcessor = CognitiveAuthManager = DefenseSystem = None
    HealthMonitor = EnhancedAIConfig = None

# BioKinetic and Advanced Systems
try:
    from biokinetic_mesh import BioKineticMesh
    from quantum_spiderweb import QuantumSpiderweb
    from pattern_library import PatternLibrary
    from fractal import analyze_identity
except ImportError as e:
    logger.warning(f"Advanced systems import failed: {e}")
    BioKineticMesh = QuantumSpiderweb = PatternLibrary = analyze_identity = None

# Scientific and AI Libraries
try:
    import numpy as np
    import torch
    import transformers
    from scipy.integrate import solve_ivp
    from scipy.fft import fft, fftfreq
    from sklearn.cluster import KMeans
except ImportError as e:
    logger.warning(f"Scientific library imports failed: {e}")

# Utility Libraries
import json
import os
import asyncio
import aiohttp
from datetime import datetime
from typing import Dict, List, Any, Optional, Union
from collections import defaultdict, deque
import hashlib
import random
import time
import logging

# Configure logging
logging.basicConfig(level=logging.INFO)

# Initialize HuggingFace
try:
    from huggingface_hub import InferenceClient
    hf_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")
except ImportError as e:
    logger.warning(f"HuggingFace imports failed: {e}")
    InferenceClient = None

class CodetteImportManager:
    """Manages Codette framework imports and utilities"""
    
    def __init__(self):
        self.available_modules = self._check_available_modules()
        self._log_import_status()
    
    def _check_available_modules(self) -> Dict[str, bool]:
        """Check which modules are available"""
        modules = {
            "ai_core": AICore is not None,
            "ai_core_system": AISystemCore is not None,
            "ai_core_identity": AIIdentityCore is not None,
            "codette": Codette is not None,
            "cognitive": {
                "processor": CognitiveProcessor is not None,
                "auth": CognitiveAuthManager is not None
            },
            "defense_system": DefenseSystem is not None,
            "health_monitor": HealthMonitor is not None,
            "advanced_systems": {
                "biokinetic": BioKineticMesh is not None,
                "quantum": QuantumSpiderweb is not None,
                "patterns": PatternLibrary is not None,
                "fractal": analyze_identity is not None
            },
            "scientific": {
                "numpy": np is not None,
                "torch": torch is not None,
                "transformers": transformers is not None,
                "huggingface": InferenceClient is not None
            }
        }
        return modules
    
    def _log_import_status(self):
        """Log the status of imports"""
        logger.info("Codette Import Status:")
        
        def log_nested(prefix: str, module_dict: Dict):
            for key, value in module_dict.items():
                if isinstance(value, dict):
                    logger.info(f"{prefix}{key}:")
                    log_nested(f"{prefix}  ", value)
                else:
                    status = "✅ Available" if value else "❌ Missing"
                    logger.info(f"{prefix}{key}: {status}")
                    
        log_nested("", self.available_modules)
    
    def get_available_systems(self) -> List[str]:
        """Get list of available systems"""
        systems = []
        
        def collect_systems(module_dict: Dict, prefix: str = ""):
            for key, value in module_dict.items():
                if isinstance(value, dict):
                    collect_systems(value, f"{prefix}{key}.")
                elif value:
                    systems.append(f"{prefix}{key}")
                    
        collect_systems(self.available_modules)
        return systems
    
    def create_system(self) -> Optional[Any]:
        """Create a Codette system with available components"""
        try:
            if not self.available_modules["codette"]:
                logger.warning("Codette core system not available")
                return None
                
            # Initialize with advanced AI Core if available
            if self.available_modules["ai_core"]:
                codette = Codette(
                    user_name="User",
                    perspectives=["Newton", "DaVinci", "Ethical", "Quantum", "Memory"],
                    spiderweb_dim=5
                )
                
                # Configure additional systems
                if self.available_modules["advanced_systems"]["quantum"]:
                    codette.quantum_web = QuantumSpiderweb(node_count=128)
                    
                if self.available_modules["cognitive"]["processor"]:
                    codette.cognitive_processor = CognitiveProcessor(
                        modes=["scientific", "creative", "emotional", "quantum"]
                    )
                    
                return codette
            else:
                # Fallback to basic system
                return Codette("User")
                
        except Exception as e:
            logger.error(f"Failed to create system: {e}")
            return None

# Create global import manager
import_manager = CodetteImportManager()

# Export key components
__all__ = [
    'CodetteImportManager',
    'import_manager',
    'AICore',
    'AISystemCore',
    'AIIdentityCore',
    'Codette',
    'CognitiveProcessor',
    'CognitiveAuthManager',
    'DefenseSystem',
    'HealthMonitor',
    'BioKineticMesh',
    'QuantumSpiderweb',
    'PatternLibrary',
    'analyze_identity',
    'EnhancedAIConfig'
]