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"""
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())
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