""" 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())