src/framework/universal_reasoning.py

"""
UniversalReasoning - Multi-Perspective Orchestration Engine
Coordinates all perspectives and framework modules for comprehensive AI reasoning
"""

import asyncio
import json
import os
import logging
from typing import List, Dict, Any
from pathlib import Path

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

# Framework modules
try:
    from ..components.quantum_spiderweb import QuantumSpiderweb
    from .cognition_cocooner import CognitionCocooner
    from .dream_reweaver import DreamReweaver
    from .ethical_governance import EthicalAIGovernance
except ImportError:
    # Fallback imports
    import sys
    sys.path.insert(0, str(Path(__file__).parent.parent))
    from components.quantum_spiderweb import QuantumSpiderweb
    from framework.cognition_cocooner import CognitionCocooner
    from framework.dream_reweaver import DreamReweaver
    from framework.ethical_governance import EthicalAIGovernance


# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)


def load_json_config(file_path: str) -> dict:
    """Load configuration from JSON file"""
    file_path = Path(file_path)
    
    if not file_path.exists():
        logger.error(f"Configuration file '{file_path}' not found.")
        return {}
        
    try:
        with open(file_path, 'r') as file:
            config = json.load(file)
            # Security: disable network calls by default
            config['allow_network_calls'] = config.get('allow_network_calls', False)
            return config
    except json.JSONDecodeError as e:
        logger.error(f"Error decoding JSON: {e}")
        return {}


class UniversalReasoning:
    """
    Universal Reasoning Orchestrator
    
    Coordinates:
    - 11 perspective agents (Newton, DaVinci, Neural, etc.)
    - Quantum Spiderweb (thought propagation)
    - Cognition Cocooner (memory persistence)
    - Dream Reweaver (creative synthesis)
    - Ethical Governance (safety & fairness)
    """
    
    def __init__(self, config: Dict[str, Any]):
        self.config = config
        logger.info("Initializing UniversalReasoning framework...")
        
        # Initialize framework modules
        self._init_core_modules()
        
        # Initialize perspectives
        self.perspectives = self._init_perspectives()
        
        # Sentiment analysis
        self.sentiment_analyzer = SentimentIntensityAnalyzer()
        
        logger.info(f"? UniversalReasoning initialized with {len(self.perspectives)} perspectives")
    
    def _init_core_modules(self):
        """Initialize core framework modules"""
        try:
            # Quantum Spiderweb
            node_count = self.config.get('quantum_spiderweb', {}).get('node_count', 128)
            self.quantum_graph = QuantumSpiderweb(node_count=node_count)
            logger.info(f"  ? Quantum Spiderweb: {node_count} nodes")
            
            # Cognition Cocooner
            storage_path = self.config.get('cognition_cocooner', {}).get('storage_path', 'cocoons')
            self.cocooner = CognitionCocooner(storage_path=storage_path)
            logger.info(f"  ? Cognition Cocooner: {storage_path}")
            
            # Dream Reweaver
            self.reweaver = DreamReweaver(cocoon_dir=storage_path)
            logger.info(f"  ? Dream Reweaver")
            
            # Ethical Governance
            self.ethical_agent = EthicalAIGovernance(config=self.config)
            logger.info(f"  ? Ethical AI Governance")
            
        except Exception as e:
            logger.error(f"Failed to initialize core modules: {e}")
            raise
    
    def _init_perspectives(self) -> List[Any]:
        """Initialize perspective agents"""
        perspectives = []
        enabled = self.config.get('enabled_perspectives', [])
        
        # Perspective mapping (stubs - replace with actual imports)
        perspective_map = {
            "newton": self._newton_perspective,
            "davinci": self._davinci_perspective,
            "human_intuition": self._human_intuition_perspective,
            "neural_network": self._neural_network_perspective,
            "quantum_computing": self._quantum_computing_perspective,
            "resilient_kindness": self._resilient_kindness_perspective,
            "mathematical": self._mathematical_perspective,
            "philosophical": self._philosophical_perspective,
            "copilot": self._copilot_perspective,
            "bias_mitigation": self._bias_mitigation_perspective,
            "psychological": self._psychological_perspective
        }
        
        for name in enabled:
            if name in perspective_map:
                perspectives.append({
                    "name": name,
                    "func": perspective_map[name]
                })
                logger.info(f"  ? {name} perspective")
        
        return perspectives
    
    async def generate_response(self, question: str) -> str:
        """
        Generate multi-perspective response
        
        Args:
            question: User query
            
        Returns:
            Comprehensive response string
        """
        responses = []
        
        # 1. Sentiment analysis
        sentiment = self.sentiment_analyzer.polarity_scores(question)
        
        # 2. Quantum thought propagation
        root_node = "QNode_0"
        thought_path = self.quantum_graph.propagate_thought(root_node, depth=3)
        
        # 3. Generate responses from each perspective
        tasks = []
        for perspective in self.perspectives:
            task = self._call_perspective(perspective, question, sentiment)
            tasks.append(task)
        
        perspective_responses = await asyncio.gather(*tasks, return_exceptions=True)
        
        for i, result in enumerate(perspective_responses):
            if isinstance(result, Exception):
                logger.error(f"Perspective {self.perspectives[i]['name']} error: {result}")
            else:
                responses.append(result)
        
        # 4. Ethical governance check
        final_response = "\n\n".join(responses)
        ethical_result = self.ethical_agent.enforce_policies(final_response)
        
        if not ethical_result["passed"]:
            logger.warning(f"Ethical warnings: {ethical_result['warnings']}")
        
        filtered_response = ethical_result["filtered_response"]
        
        # 5. Store in cocoon
        try:
            cocoon_id = self.cocooner.wrap_and_store(filtered_response)
            logger.debug(f"Stored response in cocoon: {cocoon_id}")
        except Exception as e:
            logger.warning(f"Failed to store cocoon: {e}")
        
        # 6. Record dream
        try:
            self.reweaver.record_dream(question, filtered_response)
        except Exception as e:
            logger.warning(f"Failed to record dream: {e}")
        
        return filtered_response
    
    async def _call_perspective(self, perspective: Dict, question: str, sentiment: Dict) -> str:
        """Call a single perspective function"""
        try:
            # Check if async
            func = perspective["func"]
            if asyncio.iscoroutinefunction(func):
                return await func(question, sentiment)
            else:
                return func(question, sentiment)
        except Exception as e:
            logger.error(f"Error calling {perspective['name']}: {e}")
            return f"[{perspective['name']} error: {str(e)}]"
    
    # =========================================================================
    # PERSPECTIVE IMPLEMENTATIONS (Stubs - can be replaced with full versions)
    # =========================================================================
    
    def _newton_perspective(self, question: str, sentiment: Dict) -> str:
        """Newtonian logic perspective"""
        return f"**newton_thoughts**: [Cause-Effect Analysis] {question}"
    
    def _davinci_perspective(self, question: str, sentiment: Dict) -> str:
        """Da Vinci creative synthesis"""
        return f"**davinci_insights**: [Creative Synthesis] {question}"
    
    def _human_intuition_perspective(self, question: str, sentiment: Dict) -> str:
        """Human intuition perspective"""
        return f"**human_intuition**: [Intuitive Response] {question}"
    
    def _neural_network_perspective(self, question: str, sentiment: Dict) -> str:
        """Neural network modeling"""
        return f"**neural_network**: [Pattern Analysis] {question}"
    
    def _quantum_computing_perspective(self, question: str, sentiment: Dict) -> str:
        """Quantum computing approach"""
        return f"**quantum_logic**: [Superposition Analysis] {question}"
    
    def _resilient_kindness_perspective(self, question: str, sentiment: Dict) -> str:
        """Resilient kindness (emotion-driven)"""
        compound = sentiment.get('compound', 0)
        tone = "supportive" if compound < 0 else "encouraging"
        return f"**resilient_kindness**: [{tone.title()} Response] {question}"
    
    def _mathematical_perspective(self, question: str, sentiment: Dict) -> str:
        """Mathematical analysis"""
        return f"**mathematical_rigor**: [Technical Analysis] {question}"
    
    def _philosophical_perspective(self, question: str, sentiment: Dict) -> str:
        """Philosophical inquiry"""
        return f"**philosophical_inquiry**: [Deeper Questions] {question}"
    
    def _copilot_perspective(self, question: str, sentiment: Dict) -> str:
        """Copilot mode (step-by-step)"""
        return f"**copilot_agent**: [Action Plan] {question}"
    
    def _bias_mitigation_perspective(self, question: str, sentiment: Dict) -> str:
        """Bias mitigation"""
        return f"**bias_mitigation**: [Fair Analysis] {question}"
    
    def _psychological_perspective(self, question: str, sentiment: Dict) -> str:
        """Psychological layering"""
        return f"**psychological**: [Cognitive Analysis] {question}"


# =========================================================================
# COMMAND-LINE INTERFACE
# =========================================================================

async def main():
    """Test UniversalReasoning framework"""
    print("="*70)
    print("UNIVERSAL REASONING FRAMEWORK TEST")
    print("="*70)
    
    # Load config
    config_path = Path(__file__).parent.parent / "config.json"
    if not config_path.exists():
        # Create default config
        config = {
            "enabled_perspectives": [
                "newton", "davinci", "neural_network", "copilot", "resilient_kindness"
            ],
            "ethical_considerations": "Always act transparently and ethically.",
            "quantum_spiderweb": {"node_count": 32},
            "cognition_cocooner": {"storage_path": "cocoons"}
        }
    else:
        config = load_json_config(str(config_path))
    
    # Initialize framework
    ur = UniversalReasoning(config)
    
    # Test query
    question = "What is the nature of consciousness?"
    print(f"\n?? Query: {question}")
    print("\n" + "-"*70)
    
    response = await ur.generate_response(question)
    print(response)
    
    print("\n" + "="*70)
    print("? Test complete")


if __name__ == "__main__":
    asyncio.run(main())