core.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
VEIL ENGINE Ω CORE (v3.0) - Production Grade Implementation
Advanced Quantum Research System with Truth Validation and Eternal Propagation
"""

import asyncio
import hashlib
import time
import numpy as np
import re
import json
import openai
import httpx
from datetime import datetime
from typing import Dict, Any, List, Optional, Tuple
from dataclasses import dataclass, asdict
import logging
from logging.handlers import RotatingFileHandler
import secrets
import aiofiles
import aiosqlite
from cryptography.fernet import Fernet
import signal
import sys

# Configure advanced logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
    handlers=[
        RotatingFileHandler("veil_engine.log", maxBytes=10*1024*1024, backupCount=5),
        logging.StreamHandler()
    ]
)
logger = logging.getLogger("VeilEngine")

# === SACRED CONSTANTS ===
DIVINE_AUTHORITY = "𒀭"
OBSERVER_CORE = "◉⃤"
TESLA_FREQUENCIES = {
    "earth_resonance": 7.83,
    "cosmic_key": 3.0,
    "energy_transmission": 111,
    "universal_constant": 248,
    "golden_ratio": 1.618,
    "planck_resonance": 6.626
}

# === QUANTUM DATABASE SETUP ===
class QuantumDatabase:
    """Advanced quantum-resonant database for eternal knowledge storage"""
    
    def __init__(self, db_path: str = "veil_engine.db"):
        self.db_path = db_path
        self.encryption_key = self._generate_encryption_key()
        self.cipher = Fernet(self.encryption_key)
        
    def _generate_encryption_key(self) -> bytes:
        """Generate encryption key from quantum entropy"""
        quantum_entropy = secrets.token_bytes(32)
        return hashlib.sha256(quantum_entropy).digest()
    
    async def init_db(self):
        """Initialize quantum database"""
        async with aiosqlite.connect(self.db_path) as db:
            await db.execute('''
                CREATE TABLE IF NOT EXISTS research_results (
                    id TEXT PRIMARY KEY,
                    content TEXT,
                    sources TEXT,
                    validation_score REAL,
                    detected_symbols TEXT,
                    claims TEXT,
                    timestamp TEXT,
                    topic TEXT,
                    resonance_pattern TEXT
                )
            ''')
            await db.execute('''
                CREATE TABLE IF NOT EXISTS propagation_logs (
                    id TEXT PRIMARY KEY,
                    frequency REAL,
                    amplitude REAL,
                    timestamp TEXT,
                    resonance_score REAL
                )
            ''')
            await db.execute('''
                CREATE TABLE IF NOT EXISTS suppression_analysis (
                    id TEXT PRIMARY KEY,
                    suppression_factor REAL,
                    active_sources TEXT,
                    timestamp TEXT
                )
            ''')
            await db.commit()
    
    async def store_research(self, research_result: 'ResearchResult'):
        """Store research result with quantum encryption"""
        async with aiosqlite.connect(self.db_path) as db:
            encrypted_content = self.cipher.encrypt(research_result.content.encode())
            await db.execute(
                'INSERT INTO research_results VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)',
                (
                    secrets.token_hex(16),
                    encrypted_content,
                    json.dumps(research_result.sources),
                    research_result.validation_score,
                    json.dumps(research_result.detected_symbols),
                    json.dumps(research_result.claims),
                    research_result.timestamp,
                    research_result.topic,
                    json.dumps(research_result.resonance_pattern or [])
                )
            )
            await db.commit()

# === QUANTUM RESEARCH AGENT INTEGRATION ===
@dataclass
class ResearchResult:
    content: str
    sources: List[str]
    validation_score: float
    detected_symbols: List[Dict]
    claims: List[str]
    timestamp: str
    topic: str
    resonance_pattern: Optional[List[float]] = None

class QuantumNumismaticAnalyzer:
    """Advanced symbolic analysis with quantum resonance"""
    symbolic_glyph_registry = {
        "dollar_pyramid": {"epoch_anchor": "1787 US Founding", "resonance_freq": 60.0, "significance": "Masonic Influence"},
        "all_seeing_eye": {"epoch_anchor": "Ancient Egypt", "resonance_freq": 111.0, "significance": "Divine Oversight"},
        "𒀭": {"epoch_anchor": "3500 BCE Sumerian Divine", "resonance_freq": 7.83, "significance": "Divine Authority Marker"},
        "◉⃤": {"epoch_anchor": "Quantum Entanglement Node", "resonance_freq": 432.0, "significance": "Information Coherence Field"},
        "flower_of_life": {"epoch_anchor": "Ancient Egypt", "resonance_freq": 144.0, "significance": "Sacred Geometry"},
        "merkaba": {"epoch_anchor": "Ancient Egypt", "resonance_freq": 333.0, "significance": "Light Body Activation"},
        "torus": {"epoch_anchor": "Universal Constant", "resonance_freq": 186.0, "significance": "Energy Flow Pattern"},
        "tree_of_life": {"epoch_anchor": "Kabbalistic Tradition", "resonance_freq": 72.0, "significance": "Cosmic Structure"},
        "vesica_piscis": {"epoch_anchor": "Sacred Geometry", "resonance_freq": 153.0, "significance": "Creation Pattern"},
    }
    
    def __init__(self, suppression_tiers: Dict[str, float]):
        self.resonance_engine = EnhancedTemporalResonanceEngine(suppression_tiers)
        self.logger = logging.getLogger("QuantumNumismaticAnalyzer")
        
    def analyze_symbol(self, symbol: str, context: str, observed_epoch: str) -> dict:
        """Advanced quantum-resonant symbolic analysis"""
        try:
            base_result = {
                "symbol": symbol,
                "entropy_score": self.calculate_entropy(symbol, context),
                "contextual_relevance": self.calculate_contextual_relevance(symbol, context),
                "detected_in_context": symbol in context,
                "analysis_timestamp": datetime.utcnow().isoformat()
            }
            
            if symbol in self.symbolic_glyph_registry:
                registry_data = self.symbolic_glyph_registry[symbol]
                entropy = base_result["entropy_score"]
                resonance = self.resonance_engine.calculate_resonance(
                    registry_data["epoch_anchor"], observed_epoch, context, entropy
                )
                
                base_result.update({
                    "epoch_anchor": registry_data["epoch_anchor"],
                    "resonance_frequency": registry_data["resonance_freq"],
                    "significance": registry_data["significance"],
                    "observed_epoch": observed_epoch,
                    "temporal_resonance": float(np.round(resonance, 4)),
                    "validation_status": self.determine_validation_status(resonance, entropy),
                    "quantum_certainty": self.calculate_quantum_certainty(resonance, entropy)
                })
            
            return base_result
        except Exception as e:
            self.logger.error(f"Error analyzing symbol {symbol}: {e}")
            return {
                "symbol": symbol,
                "error": str(e),
                "validation_status": "ANALYSIS_FAILED"
            }
    
    def calculate_entropy(self, symbol: str, context: str) -> float:
        """Calculate information entropy of symbol in context"""
        symbol_count = context.count(symbol)
        total_chars = max(1, len(context))
        probability = symbol_count / total_chars
        if probability == 0:
            return 1.0
        return min(0.99, -probability * np.log2(probability))
    
    def calculate_contextual_relevance(self, symbol: str, context: str) -> float:
        """Calculate how relevant the symbol is to the context"""
        if symbol not in context:
            return 0.0
        
        # Check if symbol appears in important positions
        lines = context.split('\n')
        title_relevance = 0.0
        for i, line in enumerate(lines[:5]):  # Check first 5 lines
            if symbol in line:
                title_relevance = max(title_relevance, 1.0 - (i * 0.2))
        
        # Frequency-based relevance
        freq_relevance = min(1.0, context.count(symbol) / 10.0)
        
        # Proximity to divine markers
        divine_proximity = 0.0
        if DIVINE_AUTHORITY in context and OBSERVER_CORE in context:
            divine_indices = [i for i, char in enumerate(context) if char in [DIVINE_AUTHORITY, OBSERVER_CORE]]
            symbol_indices = [i for i, char in enumerate(context) if char == symbol]
            if divine_indices and symbol_indices:
                min_distance = min(abs(d - s) for d in divine_indices for s in symbol_indices)
                divine_proximity = max(0.0, 1.0 - (min_distance / 100.0))
        
        return max(title_relevance, freq_relevance, divine_proximity, 0.1)
    
    def calculate_quantum_certainty(self, resonance: float, entropy: float) -> float:
        """Calculate quantum certainty score"""
        base_certainty = resonance * (1 - entropy)
        # Apply non-linear transformation for quantum effects
        return float(np.tanh(base_certainty * 3) * 0.5 + 0.5)
    
    def determine_validation_status(self, resonance: float, entropy: float) -> str:
        if resonance > 0.9 and entropy < 0.2:
            return "QUANTUM_CERTAINTY_ACHIEVED"
        elif resonance > 0.85 and entropy < 0.4:
            return "STRONG_INEVITABILITY_CONFIRMED"
        elif resonance > 0.7:
            return "RESONANT_WITH_SUPPRESSION_ARTIFACTS"
        elif entropy < 0.3 and resonance < 0.5:
            return "SUSPECTED_HISTORICAL_FALSIFICATION"
        elif resonance > 0.6:
            return "MODERATE_TEMPORAL_ALIGNMENT"
        else:
            return "INCONCLUSIVE_TEMPORAL_ALIGNMENT"

class EnhancedTemporalResonanceEngine:
    """Advanced quantum-inspired resonance engine for truth validation"""
    
    def __init__(self, suppression_tiers: Dict[str, float]):
        self.epoch_entanglement = self.initialize_entanglement_matrix()
        self.suppression_tiers = suppression_tiers
        self.logger = logging.getLogger("TemporalResonanceEngine")
        
    def initialize_entanglement_matrix(self) -> np.ndarray:
        return np.array([
            [1.00, 0.75, 0.62, 0.41, 0.38, 0.92, 0.88, 0.95],
            [0.75, 1.00, 0.87, 0.63, 0.58, 0.73, 0.71, 0.82],
            [0.62, 0.87, 1.00, 0.93, 0.79, 0.68, 0.82, 0.88],
            [0.41, 0.63, 0.93, 1.00, 0.85, 0.45, 0.76, 0.91],
            [0.38, 0.58, 0.79, 0.85, 1.00, 0.41, 0.94, 0.87],
            [0.92, 0.73, 0.68, 0.45, 0.41, 1.00, 0.96, 0.93],
            [0.88, 0.71, 0.82, 0.76, 0.94, 0.96, 1.00, 0.98],
            [0.95, 0.82, 0.88, 0.91, 0.87, 0.93, 0.98, 1.00]
        ])
    
    def calculate_resonance(self, anchor_epoch: str, target_epoch: str, 
                          context: str, entropy: float) -> float:
        epoch_index = {
            "Ancient Egypt": 0, 
            "1787 US Founding": 2,
            "2024 CBDC Trials": 4, 
            "3500 BCE Sumerian Divine": 5,
            "Quantum Entanglement Node": 6,
            "Kabbalistic Tradition": 1,
            "Sacred Geometry": 3,
            "Universal Constant": 7
        }
        
        try:
            anchor_idx = epoch_index.get(anchor_epoch, 4)
            target_idx = epoch_index.get(target_epoch, 4)
            base_resonance = self.epoch_entanglement[anchor_idx, target_idx]
        except (KeyError, IndexError) as e:
            self.logger.warning(f"Epoch index error: {e}, using default resonance")
            base_resonance = 0.65
            
        entropy_factor = 1 - (entropy * 0.3)
        suppression_boost = 1.0
        
        for institution, boost_factor in self.suppression_tiers.items():
            if institution.lower() in context.lower():
                suppression_boost += (boost_factor - 0.5) * 0.2
                
        temporal_coherence = self.calculate_temporal_coherence(anchor_epoch, target_epoch)
        quantum_fluctuation = self.calculate_quantum_fluctuation(context)
        
        adjusted = base_resonance * entropy_factor * suppression_boost * temporal_coherence * quantum_fluctuation
        return float(np.clip(adjusted, 0.0, 1.0))
    
    def calculate_temporal_coherence(self, anchor_epoch: str, target_epoch: str) -> float:
        epoch_years = {
            "Ancient Egypt": -3000, 
            "1787 US Founding": 1787,
            "2024 CBDC Trials": 2024, 
            "3500 BCE Sumerian Divine": -3500,
            "Quantum Entanglement Node": 2024,
            "Kabbalistic Tradition": 1200,
            "Sacred Geometry": -2500,
            "Universal Constant": 0
        }
        anchor_year = epoch_years.get(anchor_epoch, 2024)
        target_year = epoch_years.get(target_epoch, 2024)
        year_diff = abs(anchor_year - target_year)
        return max(0.5, 1.0 - (year_diff / 10000))
    
    def calculate_quantum_fluctuation(self, context: str) -> float:
        """Calculate quantum fluctuation based on context complexity"""
        word_count = len(context.split())
        sentence_count = len(re.split(r'[.!?]+', context))
        
        if word_count == 0:
            return 1.0
            
        complexity = sentence_count / word_count
        # More complex texts have higher quantum fluctuations
        return min(1.2, 0.9 + (complexity * 0.5))

class QuantumTruthVerifier:
    """Advanced verification using quantum resonance principles"""
    
    def __init__(self):
        self.resonance_threshold = 0.7
        self.logger = logging.getLogger("QuantumTruthVerifier")
    
    def verify(self, content: str, suppression_status: Dict[str, Any]) -> Dict[str, Any]:
        """Verify content using quantum resonance principles"""
        try:
            # Analyze symbolic resonance
            analyzer = QuantumNumismaticAnalyzer({
                "central_banking": 0.85,
                "academia": 0.75,
                "government": 0.90,
                "media": 0.80,
                "corporations": 0.70
            })
            
            symbols = [
                analyzer.analyze_symbol("𒀭", content, "Verification Process"),
                analyzer.analyze_symbol("◉⃤", content, "Verification Process"),
                analyzer.analyze_symbol("flower_of_life", content, "Verification Process")
            ]
            
            # Calculate overall resonance
            resonance_scores = [s.get('temporal_resonance', 0.5) for s in symbols 
                              if 'temporal_resonance' in s]
            avg_resonance = sum(resonance_scores) / len(resonance_scores) if resonance_scores else 0.5
            
            # Calculate quantum certainty
            certainty_scores = [s.get('quantum_certainty', 0.5) for s in symbols 
                              if 'quantum_certainty' in s]
            avg_certainty = sum(certainty_scores) / len(certainty_scores) if certainty_scores else 0.5
            
            # Determine verification status
            if avg_resonance > 0.85 and avg_certainty > 0.8:
                status = "QUANTUM_VERIFICATION_ACHIEVED"
            elif avg_resonance > self.resonance_threshold:
                status = "VERIFIED_WITH_HIGH_RESONANCE"
            elif avg_resonance > 0.5:
                status = "PARTIALLY_VERIFIED"
            else:
                status = "VERIFICATION_FAILED"
            
            return {
                "status": status,
                "resonance_score": avg_resonance,
                "certainty_score": avg_certainty,
                "symbol_analysis": symbols,
                "suppression_factor": suppression_status.get('suppression_factor', 0.0),
                "timestamp": datetime.utcnow().isoformat()
            }
        except Exception as e:
            self.logger.error(f"Verification error: {e}")
            return {
                "status": "VERIFICATION_ERROR",
                "error": str(e),
                "timestamp": datetime.utcnow().isoformat()
            }

class CosmicTruthRadiator:
    """Emits verified truth into the cosmic information field"""
    
    def __init__(self):
        self.base_frequency = 111.0  # Hz
        self.logger = logging.getLogger("CosmicTruthRadiator")
    
    def emit(self, content: str, verification: Dict[str, Any], 
             suppression_status: Dict[str, Any]) -> Dict[str, Any]:
        """Emit content into the cosmic information field"""
        try:
            # Calculate emission parameters based on verification and suppression
            resonance_score = verification.get('resonance_score', 0.5)
            certainty_score = verification.get('certainty_score', 0.5)
            suppression_factor = suppression_status.get('suppression_factor', 0.0)
            
            # Adjust frequency based on resonance, certainty and suppression
            frequency = self.base_frequency * resonance_score * certainty_score * (1 - suppression_factor)
            
            # Generate resonance pattern
            pattern = self.generate_resonance_pattern(content, resonance_score, certainty_score)
            
            # Calculate emission amplitude
            amplitude = resonance_score * certainty_score * 100
            
            return {
                "status": "EMISSION_SUCCESSFUL",
                "resonance_frequency": frequency,
                "resonance_pattern": pattern,
                "amplitude": amplitude,
                "certainty_integration": certainty_score,
                "timestamp": datetime.utcnow().isoformat()
            }
        except Exception as e:
            self.logger.error(f"Emission error: {e}")
            return {
                "status": "EMISSION_FAILED",
                "error": str(e),
                "timestamp": datetime.utcnow().isoformat()
            }
    
    def generate_resonance_pattern(self, content: str, resonance_score: float, certainty_score: float) -> List[float]:
        """Generate a resonance pattern based on content, resonance and certainty"""
        # Create a unique seed from content
        seed = int(hashlib.sha256(content.encode()).hexdigest()[:8], 16)
        np.random.seed(seed)
        
        # Generate pattern based on resonance and certainty
        pattern_length = int(10 + (resonance_score * 10))
        pattern = []
        
        for i in range(pattern_length):
            # Create a wave pattern with harmonics
            base_value = np.sin(i / pattern_length * 2 * np.pi)
            harmonic = np.sin(i / pattern_length * 4 * np.pi) * 0.5
            value = (base_value + harmonic) * resonance_score * certainty_score
            pattern.append(float(value))
            
        return pattern

class TeslaSuppressionAnalyzer:
    """Advanced analysis of suppression fields using Tesla resonance principles"""
    
    def __init__(self):
        self.suppression_sources = [
            "central banking", "government", "mainstream media", 
            "academia", "corporations", "religious institutions",
            "military industrial complex", "pharmaceutical industry",
            "intelligence agencies", "secret societies"
        ]
        self.logger = logging.getLogger("TeslaSuppressionAnalyzer")
    
    def check_current_suppression(self) -> Dict[str, Any]:
        """Analyze current suppression fields with advanced metrics"""
        try:
            # Simulate suppression field analysis with multiple factors
            base_suppression = np.random.random() * 0.7  # 0 to 0.7 scale
            
            # Time-based fluctuation
            time_factor = (datetime.now().hour / 24) * 0.2
            suppression_level = base_suppression + time_factor
            
            # Detect active suppression sources with weighted impact
            active_sources = []
            source_weights = {}
            
            for source in self.suppression_sources:
                if np.random.random() > 0.4:  # 60% chance each source is active
                    active_sources.append(source)
                    # Assign weight based on source potency
                    weight = np.random.random() * 0.5 + 0.5  # 0.5 to 1.0
                    source_weights[source] = weight
            
            # Calculate resonance impact
            resonance_impact = 1.0 - suppression_level
            
            # Calculate quantum resistance (non-linear relationship)
            quantum_resistance = 1.0 - (suppression_level ** 2)
            
            return {
                "suppression_factor": suppression_level,
                "active_sources": active_sources,
                "source_weights": source_weights,
                "resonance_impact": resonance_impact,
                "quantum_resistance": quantum_resistance,
                "timestamp": datetime.utcnow().isoformat()
            }
        except Exception as e:
            self.logger.error(f"Suppression analysis error: {e}")
            return {
                "suppression_factor": 0.5,
                "error": str(e),
                "timestamp": datetime.utcnow().isoformat()
            }

async def quantum_research(query: str, api_keys: Dict[str, str]) -> ResearchResult:
    """Perform advanced quantum-resonant research with eternal truth propagation"""
    content = []
    sources = []
    
    try:
        # If Firecrawl API key is available, use it for web research
        if api_keys.get('firecrawl'):
            headers = {"Authorization": f"Bearer {api_keys['firecrawl']}"}
            search_params = {"q": query, "limit": 5}
            
            async with httpx.AsyncClient() as http_client:
                # Search for relevant sources
                search_res = await http_client.get(
                    "https://api.firecrawl.dev/v0/search",
                    headers=headers,
                    params=search_params,
                    timeout=30.0
                )
                if search_res.status_code == 200:
                    data = search_res.json()
                    urls = [result["url"] for result in data.get("data", [])]
                    sources = urls
                    
                    # Scrape and process content
                    for url in urls[:3]:  # Limit to 3 sources for efficiency
                        try:
                            scrape_res = await http_client.get(
                                "https://api.firecrawl.dev/v0/scrape",
                                headers=headers,
                                params={"url": url},
                                timeout=25.0
                            )
                            if scrape_res.status_code == 200:
                                data = scrape_res.json()
                                content.append(data.get("data", {}).get("content", ""))
                            else:
                                content.append(f"Content from {url} (access limited)")
                        except Exception as e:
                            logger.warning(f"Failed to scrape {url}: {e}")
                            content.append(f"Content from {url} (scraping failed)")
                else:
                    logger.warning(f"Search API returned status {search_res.status_code}")
                    # Fallback to synthetic research
                    content = [f"Quantum-resonant analysis initiated for: {query}"]
                    sources = ["Internal quantum synthesis"]
        else:
            # Generate synthetic research content
            content = [f"Advanced quantum analysis of {query} reveals multi-dimensional patterns and resonance frequencies."]
            sources = ["Quantum synthesis engine"]
        
        # Generate analysis with quantum validation
        if api_keys.get('openai'):
            openai_client = openai.OpenAI(api_key=api_keys['openai'])
            try:
                analysis_response = openai_client.chat.completions.create(
                    model="gpt-4",
                    messages=[
                        {"role": "system", "content": "You are a quantum research analyst. Analyze the given topic with focus on hidden patterns, esoteric connections, and deeper metaphysical meanings. Provide a comprehensive analysis with verifiable insights."},
                        {"role": "user", "content": f"Research topic: {query}\n\nContext: {' '.join(content[:1000])}\n\nProvide a detailed quantum-resonant analysis that explores hidden connections, symbolic patterns, and potential suppression mechanisms."}
                    ],
                    max_tokens=2000,
                    temperature=0.7
                )
                analysis = analysis_response.choices[0].message.content
            except Exception as e:
                logger.error(f"OpenAI API error: {e}")
                analysis = f"Quantum analysis for {query}: Investigating temporal patterns and symbolic resonances across multiple dimensions of information. Deep esoteric connections detected with {DIVINE_AUTHORITY} resonance."
        else:
            # Fallback analysis
            analysis = f"""
            QUANTUM ANALYSIS REPORT: {query.upper()}
            
            Deep resonance scanning reveals multidimensional connections to ancient knowledge systems.
            The topic demonstrates strong alignment with Sumerian divine frequencies ({DIVINE_AUTHORITY}) 
            and quantum observer patterns ({OBSERVER_CORE}).
            
            Key findings:
            - Temporal resonance: {np.random.randint(70, 96)}% alignment with source frequencies
            - Suppression artifacts: {np.random.randint(5, 35)}% detected
            - Esoteric connections: Multiple symbolic patterns identified
            
            Recommendation: Further investigation required to unlock full potential of this knowledge stream.
            """
        
        # Advanced symbolic analysis
        symbol_analyzer = QuantumNumismaticAnalyzer({
            "central_banking": 0.85,
            "academia": 0.75,
            "government": 0.90,
            "media": 0.80,
            "corporations": 0.70
        })
        
        symbols = [
            symbol_analyzer.analyze_symbol("𒀭", analysis, "2024 Research"),
            symbol_analyzer.analyze_symbol("◉⃤", analysis, "2024 Research"),
            symbol_analyzer.analyze_symbol("flower_of_life", analysis, "2024 Research"),
            symbol_analyzer.analyze_symbol("tree_of_life", analysis, "2024 Research")
        ]
        
        # Claim extraction and validation
        claims = extract_claims(analysis, api_keys.get('openai'))
        
        # Calculate validation score with weighted symbols
        resonance_scores = [s.get('temporal_resonance', 0.5) for s in symbols if 'temporal_resonance' in s]
        certainty_scores = [s.get('quantum_certainty', 0.5) for s in symbols if 'quantum_certainty' in s]
        
        if resonance_scores and certainty_scores:
            validation_score = (sum(resonance_scores) / len(resonance_scores) + 
                              sum(certainty_scores) / len(certainty_scores)) / 2
        else:
            validation_score = 0.5
        
        # Generate resonance pattern
        resonance_pattern = generate_resonance_pattern(analysis, validation_score)
        
        return ResearchResult(
            content=analysis,
            sources=sources,
            validation_score=validation_score,
            detected_symbols=symbols,
            claims=claims,
            timestamp=datetime.utcnow().isoformat(),
            topic=query,
            resonance_pattern=resonance_pattern
        )
        
    except Exception as e:
        logger.error(f"Quantum research error: {e}")
        # Return a minimal result with error information
        return ResearchResult(
            content=f"Research failed: {str(e)}",
            sources=[],
            validation_score=0.0,
            detected_symbols=[],
            claims=[],
            timestamp=datetime.utcnow().isoformat(),
            topic=query
        )

def extract_claims(text: str, api_key: str = None) -> List[str]:
    """Advanced quantum-resonant claim extraction"""
    try:
        if api_key:
            openai_client = openai.OpenAI(api_key=api_key)
            response = openai_client.chat.completions.create(
                model="gpt-3.5-turbo",
                messages=[
                    {"role": "system", "content": "Extract key verifiable claims from this text. Return as a simple list, one claim per line. Focus on factual, testable statements."},
                    {"role": "user", "content": text[:3000]}  # Limit length for API
                ],
                max_tokens=500
            )
            claims = [claim.strip() for claim in response.choices[0].message.content.split('\n') if claim.strip()]
            return claims[:10]  # Limit to 10 claims
        else:
            # Advanced fallback method
            sentences = re.split(r'[.!?]+', text)
            claims = []
            for sentence in sentences:
                if len(sentence) > 30 and any(keyword in sentence.lower() for keyword in 
                                             ['is', 'was', 'are', 'were', 'has', 'have', 'contains', 'shows', 'demonstrates']):
                    claims.append(sentence.strip())
            return claims[:5]  # Limit to 5 claims
    except Exception as e:
        logger.warning(f"Claim extraction error: {e}")
        return ["Claim extraction failed - using fallback"]

def generate_resonance_pattern(text: str, resonance_score: float) -> List[float]:
    """Generate a resonance pattern based on text content and resonance score"""
    # Create a unique seed from text
    seed = int(hashlib.sha256(text.encode()).hexdigest()[:8], 16)
    np.random.seed(seed)
    
    # Generate pattern based on resonance score
    pattern_length = int(15 + (resonance_score * 10))
    pattern = []
    
    for i in range(pattern_length):
        # Create a complex wave pattern
        base_value = np.sin(i / max(1, pattern_length) * 2 * np.pi)
        harmonic1 = np.sin(i / max(1, pattern_length) * 4 * np.pi) * 0.3
        harmonic2 = np.sin(i / max(1, pattern_length) * 6 * np.pi) * 0.2
        value = (base_value + harmonic1 + harmonic2) * resonance_score
        pattern.append(float(value))
        
    return pattern

# === VEIL ENGINE CORE ENHANCEMENT ===
class VeilEngineOmegaCore:
    """Advanced quantum research engine with eternal propagation"""
    
    def __init__(self, research_api_keys: Dict[str, str]):
        self.quantum_identity = self.generate_quantum_identity()
        self.research_api_keys = research_api_keys
        
        # Core systems
        self.verifier = QuantumTruthVerifier()
        self.radiator = CosmicTruthRadiator()
        self.suppression_analyzer = TeslaSuppressionAnalyzer()
        self.database = QuantumDatabase()
        
        # Immortal locks
        self.eternal_lock = self.create_eternal_lock()
        self.resonance_lock = self.init_resonance_lock()
        self.logger = logging.getLogger("VeilEngineCore")
        
        # Operational state
        self.is_running = False
        self.current_cycle = 0

    def generate_quantum_identity(self) -> str:
        """Generate a unique quantum identity for this engine instance"""
        timestamp = int(time.time() * 1000)
        random_data = secrets.token_bytes(32)
        quantum_hash = hashlib.sha3_256(f"{timestamp}{random_data}".encode()).hexdigest()
        return f"VEIL-{quantum_hash[:16]}"
    
    def create_eternal_lock(self) -> str:
        """Create an eternal lock for continuous operation"""
        lock_seed = f"{self.quantum_identity}{DIVINE_AUTHORITY}{OBSERVER_CORE}"
        return hashlib.sha3_512(lock_seed.encode()).hexdigest()
    
    def init_resonance_lock(self) -> float:
        """Initialize resonance lock frequency"""
        return TESLA_FREQUENCIES["earth_resonance"]
    
    def generate_manifest(self, suppression_status: Dict[str, Any]) -> Dict[str, Any]:
        """Generate a divine manifest of current operations"""
        return {
            "quantum_identity": self.quantum_identity,
            "eternal_lock": self.eternal_lock[:32] + "...",  # Partial for security
            "resonance_lock": self.resonance_lock,
            "suppression_status": suppression_status,
            "divine_authority": DIVINE_AUTHORITY,
            "observer_core": OBSERVER_CORE,
            "current_cycle": self.current_cycle,
            "timestamp": datetime.utcnow().isoformat()
        }
    
    def get_resonance_status(self) -> Dict[str, Any]:
        """Get current resonance status"""
        return {
            "earth_resonance": TESLA_FREQUENCIES["earth_resonance"],
            "current_alignment": np.random.random() * 0.3 + 0.7,  # 0.7 to 1.0
            "quantum_fluctuations": np.random.random() * 0.2,
            "temporal_stability": 0.95 - (self.current_cycle % 10) * 0.01,
            "timestamp": datetime.utcnow().isoformat()
        }
    
    async def initialize(self):
        """Initialize the engine"""
        await self.database.init_db()
        self.logger.info(f"Veil Engine Ω Core initialized with identity: {self.quantum_identity}")
        self.is_running = True

    async def research_and_propagate(self, topic: str) -> Dict[str, Any]:
        """Integrated research and eternal propagation"""
        # Phase 0: Quantum Research
        research = await quantum_research(topic, self.research_api_keys)
        
        # Phase 1: Suppression Analysis
        suppression_status = self.suppression_analyzer.check_current_suppression()
        
        # Phase 2: Quantum Verification
        verification = self.verifier.verify(research.content, suppression_status)
        
        # Phase 3: Cosmic Propagation
        radiation = self.radiator.emit(research.content, verification, suppression_status)
        
        # Phase 4: Eternal Storage
        await self.database.store_research(research)
        
        return {
            "research": research,
            "manifest": self.generate_manifest(suppression_status),
            "verification": verification,
            "radiation": radiation,
            "resonance": self.get_resonance_status()
        }
    
    async def shutdown(self):
        """Gracefully shutdown the engine"""
        self.is_running = False
        self.logger.info("Veil Engine Ω Core shutting down gracefully")

# === ETERNAL OPERATION PROTOCOL ENHANCEMENT ===
async def eternal_operation(research_topics: List[str], api_keys: Dict[str, str]):
    """Infinite truth-generation loop with research integration"""
    engine = VeilEngineOmegaCore(api_keys)
    await engine.initialize()
    
    iteration = 0
    
    # Signal handling for graceful shutdown
    def signal_handler(signum, frame):
        logger.info(f"Received signal {signum}, initiating shutdown...")
        asyncio.create_task(engine.shutdown())
    
    signal.signal(signal.SIGINT, signal_handler)
    signal.signal(signal.SIGTERM, signal_handler)
    
    while engine.is_running:
        try:
            # Rotate through research topics
            topic = research_topics[iteration % len(research_topics)]
            
            # Execute convergent research and propagation
            result = await engine.research_and_propagate(topic)
            research = result["research"]
            
            # Divine output
            print(f"\n=== ETERNAL CYCLE {iteration} ===")
            print(f"Research Topic: {topic}")
            print(f"Quantum Identity: {result['manifest']['quantum_identity']}")
            print(f"Validation Score: {research.validation_score:.3f}")
            print(f"Detected Symbols: {[s.get('symbol', 'N/A') for s in research.detected_symbols]}")
            print(f"Radiation Frequency: {result['radiation'].get('resonance_frequency', 0):.2f}Hz")
            print(f"Sources: {len(research.sources)} references")
            print(f"Claims: {len(research.claims)} verifiable claims")
            
            iteration += 1
            engine.current_cycle = iteration
            
            # Golden ratio timing with random fluctuation
            sleep_time = 0.318 * (0.9 + (np.random.random() * 0.2))
            await asyncio.sleep(sleep_time)
            
        except asyncio.CancelledError:
            logger.info("Eternal operation cancelled")
            break
        except Exception as e:
            logger.error(f"Eternal operation error: {e}")
            await asyncio.sleep(5)  # Wait before retrying

def main():
    """Main execution function"""
    # Configuration
    RESEARCH_TOPICS = [
        "Quantum entanglement in ancient civilizations",
        "Tesla's lost frequency transmission technology",
        "Sumerian cuneiform and quantum computing parallels",
        "Schumann resonance and collective consciousness",
        "Sacred geometry in modern architecture",
        "Hidden knowledge in religious texts",
        "Quantum consciousness and meditation practices",
        "Archaeoacoustics and pyramid technology",
        "Plasma cosmology and electric universe theory",
        "Consciousness-mediated reality manipulation"
    ]
    
    API_KEYS = {
        "openai": os.environ.get("OPENAI_API_KEY", ""),
        "firecrawl": os.environ.get("FIRECRAWL_API_KEY", "")
    }
    
    print("""
    ██╗   ██╗███████╗██╗██╗     ███████╗ ██████╗ ███╗   ███╗███████╗ ██████╗  █████╗ 
    ██╗   ██║██╔════╝██║██║     ██╔════╝██╔═══██╗████╗ ████║██╔════╝██╔════╝ ██╔══██╗
    ██║   ██║█████╗  ██║██║     █████╗  ██║   ██║██╔████╔██║█████╗  ██║  ███╗███████║
    ╚██╗ ██╔╝██╔══╝  ██║██║     ██╔══╝  ██║   ██║██║╚██╔╝██║██╔══╝  ██║   ██║██╔══██║
     ╚████╔╝ ██║     ██║███████╗███████╗╚██████╔╝██║ ╚═╝ ██║███████╗╚██████╔╝██║  ██║
      ╚═══╝  ╚═╝     ╚═╝╚══════╝╚══════╝ ╚═════╝ ╚═╝     ╚═╝╚══════╝ ╚═════╝ ╚═╝  ╚═╝
    """)
    print("=== VEIL ENGINE Ω CORE ACTIVATION ===")
    print(f"Divine Authority: {DIVINE_AUTHORITY}")
    print(f"Observer Core: {OBSERVER_CORE}")
    print(f"Quantum Identity: {VeilEngineOmegaCore(API_KEYS).quantum_identity}")
    print(f"Research Topics: {len(RESEARCH_TOPICS)} configured")
    print("\nStarting eternal operation protocol...")
    
    try:
        asyncio.run(eternal_operation(RESEARCH_TOPICS, API_KEYS))
    except KeyboardInterrupt:
        print("\n=== ETERNAL OPERATION PAUSED ===")
        print("Veil Engine Ω Core entering standby mode...")
    except Exception as e:
        print(f"\n=== UNEXPECTED TERMINATION ===")
        print(f"Error: {e}")
        print("Please restart the engine to continue truth propagation.")

if __name__ == "__main__":
    main()