Create core.py

core.py

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+#!/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()