#!/usr/bin/env python3 """ TATTERED PAST PACKAGE - QUANTUM INTEGRATED FRAMEWORK v3.0 Advanced Historical Reevaluation + Artistic Expression Analysis + Biblical Reassessment With Concurrent Processing, Caching, Serialization, and Enterprise Features """ import numpy as np from dataclasses import dataclass, field from enum import Enum from typing import Dict, List, Any, Optional, Tuple, TypedDict, ClassVar from datetime import datetime import hashlib import json import asyncio from collections import Counter import re from statistics import mean import logging from functools import lru_cache from concurrent.futures import ThreadPoolExecutor import pickle from pathlib import Path import aiofiles from dataclasses_json import dataclass_json from typing_extensions import Self # Configure advanced logging logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - [%(correlation_id)s] %(message)s', handlers=[ logging.FileHandler('tattered_past_analysis.log'), logging.StreamHandler() ] ) logger = logging.getLogger(__name__) # ============================================================================= # ENHANCED ENUMS AND DATA STRUCTURES v3.0 # ============================================================================= class ArtisticDomain(Enum): LITERATURE = "literature" VISUAL_ARTS = "visual_arts" MUSIC = "music" PERFORMING_ARTS = "performing_arts" ARCHITECTURE = "architecture" DIGITAL_ARTS = "digital_arts" CINEMA = "cinema" CRAFTS = "crafts" CONCEPTUAL_ART = "conceptual_art" SACRED_TEXTS = "sacred_texts" RELIGIOUS_ART = "religious_art" QUANTUM_ART = "quantum_art" HOLOGRAPHIC_MEDIA = "holographic_media" class LiteraryGenre(Enum): FICTION = "fiction" POETRY = "poetry" DRAMA = "drama" NON_FICTION = "non_fiction" MYTHOLOGY = "mythology" FOLKLORE = "folklore" SCI_FI = "science_fiction" FANTASY = "fantasy" HISTORICAL = "historical" PHILOSOPHICAL = "philosophical" SACRED = "sacred" PROPHETIC = "prophetic" APOCALYPTIC = "apocalyptic" QUANTUM_NARRATIVE = "quantum_narrative" TEMPORAL_FICTION = "temporal_fiction" class TruthRevelationMethod(Enum): SYMBOLIC_REPRESENTATION = "symbolic_representation" EMOTIONAL_RESONANCE = "emotional_resonance" PATTERN_RECOGNITION = "pattern_recognition" ARCHETYPAL_EXPRESSION = "archetypal_expression" COGNITIVE_DISSONANCE = "cognitive_dissonance" SUBLIMINAL_MESSAGING = "subliminal_messaging" CULTURAL_CRITIQUE = "cultural_critique" HISTORICAL_REFERENCE = "historical_reference" CATASTROPHIC_MEMORY = "catastrophic_memory" POLITICAL_REDACTION = "political_redaction" QUANTUM_ENTANGLEMENT = "quantum_entanglement" TEMPORAL_ANOMALY = "temporal_anomaly" class HistoricalPeriod(Enum): PRE_CATASTROPHIC = "pre_catastrophic" # Pre-3000 BCE EARLY_BRONZE = "early_bronze" # 3000-2000 BCE MIDDLE_BRONZE = "middle_bronze" # 2000-1550 BCE LATE_BRONZE = "late_bronze" # 1550-1200 BCE IRON_AGE_I = "iron_age_i" # 1200-1000 BCE IRON_AGE_II = "iron_age_ii" # 1000-586 BCE BABYLONIAN_EXILE = "babylonian_exile" # 586-539 BCE PERSIAN_PERIOD = "persian_period" # 539-332 BCE HELLENISTIC = "hellenistic" # 332-63 BCE ROMAN_PERIOD = "roman_period" # 63 BCE-324 CE BYZANTINE = "byzantine" # 324-1453 CE MODERN = "modern" # 1453 CE-Present class CataclysmType(Enum): COSMIC_IMPACT = "cosmic_impact" VOLCANIC_ERUPTION = "volcanic_eruption" EARTHQUAKE = "earthquake" TSUNAMI = "tsunami" CLIMATE_SHIFT = "climate_shift" AIRBURST = "airburst" SOLAR_FLARE = "solar_flare" GEOMAGNETIC_REVERSAL = "geomagnetic_reversal" PLASMA_EVENT = "plasma_event" DIMENSIONAL_SHIFT = "dimensional_shift" class ReligiousEvolutionStage(Enum): ANIMISTIC_NATURALISM = "animistic_naturalism" # Pre-3000 BCE CANAANITE_SYNCRETISM = "canaanite_syncretism" # 3000-1200 BCE MONOTHEISTIC_REVOLUTION = "monotheistic_revolution" # 1200-600 BCE EXILIC_TRANSFORMATION = "exilic_transformation" # 600-400 BCE HELLENISTIC_SYNTHESIS = "hellenistic_synthesis" # 400-100 BCE ROMAN_ADAPTATION = "roman_adaptation" # 100 BCE-300 CE MEDIEVAL_ORTHODOXY = "medieval_orthodoxy" # 300-1500 CE MODERN_SYNCRETISM = "modern_syncretism" # 1500 CE-Present class PoliticalRedactionType(Enum): ROYAL_LEGITIMATION = "royal_legitimation" IMPERIAL_ACCOMMODATION = "imperial_accommodation" THEOLOGICAL_CONSISTENCY = "theological_consistency" CULTURAL_SUPREMACY = "cultural_supremacy" PROPHETIC_FULFILLMENT = "prophetic_fulfillment" MIRACLE_EMBELLISHMENT = "miracle_embellishment" CHRONOLOGICAL_COMPRESSION = "chronological_compression" GENEALOGICAL_FABRICATION = "genealogical_fabrication" class AnalysisLevel(Enum): BASIC = "basic" STANDARD = "standard" ADVANCED = "advanced" QUANTUM = "quantum" # ============================================================================= # ENHANCED TYPED DICTIONARIES v2.0 # ============================================================================= class ContentAnalysis(TypedDict): themes: List[str] symbols: Dict[str, float] word_count: int complexity_score: float archetypes: List[str] temporal_anomalies: List[str] quantum_signatures: List[float] class TruthMetrics(TypedDict): symbolic_power: float emotional_impact: float cultural_significance: float historical_accuracy: float philosophical_depth: float quantum_coherence: float temporal_fidelity: float class AnalysisConfig(TypedDict): level: AnalysisLevel enable_quantum_analysis: bool enable_temporal_analysis: bool max_workers: int cache_enabled: bool output_format: str # ============================================================================= # UNIVERSAL SERIALIZATION MIXIN v2.1 # ============================================================================= class SerializableMixin: """Universal serialization interface for all analysis classes""" def to_dict(self) -> Dict[str, Any]: """Convert object to dictionary with enhanced serialization""" result = {} for key, value in self.__dict__.items(): if key.startswith('_'): continue if isinstance(value, Enum): result[key] = value.value elif isinstance(value, list) and value and isinstance(value[0], Enum): result[key] = [item.value for item in value] elif hasattr(value, 'to_dict'): result[key] = value.to_dict() elif isinstance(value, (list, tuple)) and value and hasattr(value[0], 'to_dict'): result[key] = [item.to_dict() for item in value] else: result[key] = value return result def to_json(self, indent: int = 2) -> str: """Convert object to JSON string""" return json.dumps(self.to_dict(), indent=indent, ensure_ascii=False, default=str) def to_json_file(self, filepath: str) -> None: """Save object as JSON file""" with open(filepath, 'w', encoding='utf-8') as f: f.write(self.to_json()) @classmethod async def from_json_file(cls, filepath: str) -> Self: """Load object from JSON file asynchronously""" async with aiofiles.open(filepath, 'r', encoding='utf-8') as f: data = json.loads(await f.read()) return cls.from_dict(data) @classmethod def from_dict(cls, data: Dict[str, Any]) -> Self: """Create object from dictionary""" return cls(**data) # ============================================================================= # ENHANCED CORE ANALYSIS CLASSES v3.0 # ============================================================================= @dataclass class HistoricalCataclysm(SerializableMixin): name: str cataclysm_type: CataclysmType traditional_description: str scientific_explanation: str estimated_date: Tuple[int, int] geological_evidence: List[str] biblical_references: List[str] artistic_depictions: List[str] scientific_correlation: float political_redactions: List[PoliticalRedactionType] quantum_coefficient: float = field(default=0.0) temporal_echo_patterns: List[str] = field(default_factory=list) def __post_init__(self): self.quantum_coefficient = self._calculate_quantum_coefficient() def _calculate_quantum_coefficient(self) -> float: """Calculate quantum entanglement coefficient for temporal echoes""" base = self.scientific_correlation temporal_echoes = len(self.temporal_echo_patterns) * 0.1 redaction_resistance = (1.0 - len(self.political_redactions) * 0.05) return min(1.0, base * 0.7 + temporal_echoes * 0.2 + redaction_resistance * 0.1) @dataclass class ReligiousEvolutionAnalysis(SerializableMixin): stage: ReligiousEvolutionStage timeframe: str characteristics: List[str] political_drivers: List[str] archaeological_evidence: List[str] key_developments: Dict[str, str] artistic_expressions: List[str] quantum_preservation_factor: float = field(init=False) def __post_init__(self): self.quantum_preservation_factor = self._calculate_quantum_preservation() self.truth_preservation_score = self._calculate_truth_preservation() def _calculate_truth_preservation(self) -> float: base_score = 0.5 if self.stage in [ReligiousEvolutionStage.ANIMISTIC_NATURALISM, ReligiousEvolutionStage.CANAANITE_SYNCRETISM]: base_score += 0.3 political_complexity = len(self.political_drivers) * 0.1 base_score -= political_complexity return max(0.1, min(1.0, base_score)) def _calculate_quantum_preservation(self) -> float: """Calculate quantum-level truth preservation across temporal boundaries""" stage_weights = { ReligiousEvolutionStage.ANIMISTIC_NATURALISM: 0.95, ReligiousEvolutionStage.CANAANITE_SYNCRETISM: 0.85, ReligiousEvolutionStage.MONOTHEISTIC_REVOLUTION: 0.70, ReligiousEvolutionStage.EXILIC_TRANSFORMATION: 0.60, ReligiousEvolutionStage.HELLENISTIC_SYNTHESIS: 0.50, ReligiousEvolutionStage.ROMAN_ADAPTATION: 0.40, ReligiousEvolutionStage.MEDIEVAL_ORTHODOXY: 0.30, ReligiousEvolutionStage.MODERN_SYNCRETISM: 0.20 } return stage_weights.get(self.stage, 0.5) @dataclass class BiblicalTextAnalysis(SerializableMixin): book: str chapter_verse: str historical_period: HistoricalPeriod religious_stage: ReligiousEvolutionStage text_content: str literal_interpretation: str scientific_reinterpretation: str cataclysm_correlation: Optional[HistoricalCataclysm] political_redactions: List[PoliticalRedactionType] analysis_level: AnalysisLevel = field(default=AnalysisLevel.STANDARD) # Computed fields symbolic_density: float = field(init=False) catastrophic_memory_score: float = field(init=False) redaction_confidence: float = field(init=False) artistic_truth_preservation: float = field(init=False) quantum_temporal_score: float = field(init=False) def __post_init__(self): self.symbolic_density = self._calculate_symbolic_density() self.catastrophic_memory_score = self._assess_catastrophic_memory() self.redaction_confidence = self._calculate_redaction_confidence() self.artistic_truth_preservation = self._assess_artistic_preservation() self.quantum_temporal_score = self._calculate_quantum_temporal_score() def _calculate_symbolic_density(self) -> float: symbolic_patterns = [ r'\b(water|flood|fire|brimstone|darkness|earthquake|storm)\b', r'\b(heaven|firmament|abyss|deep|chaos|void)\b', r'\b(serpent|dragon|leviathan|behemoth)\b', r'\b(light|pillar|cloud|smoke|thunder|lightning)\b', r'\b(wheel|throne|cherub|seraph|glory)\b' # Enhanced patterns ] words = self.text_content.lower().split() if not words: return 0.0 symbolic_matches = 0 for pattern in symbolic_patterns: matches = re.findall(pattern, self.text_content.lower()) symbolic_matches += len(matches) density = symbolic_matches / len(words) * 15 return min(1.0, density) def _assess_catastrophic_memory(self) -> float: if not self.cataclysm_correlation: return 0.1 base_score = self.cataclysm_correlation.scientific_correlation stage_weights = { ReligiousEvolutionStage.ANIMISTIC_NATURALISM: 1.0, ReligiousEvolutionStage.CANAANITE_SYNCRETISM: 0.9, ReligiousEvolutionStage.MONOTHEISTIC_REVOLUTION: 0.7, ReligiousEvolutionStage.EXILIC_TRANSFORMATION: 0.5, ReligiousEvolutionStage.HELLENISTIC_SYNTHESIS: 0.4, ReligiousEvolutionStage.ROMAN_ADAPTATION: 0.3, ReligiousEvolutionStage.MEDIEVAL_ORTHODOXY: 0.2, ReligiousEvolutionStage.MODERN_SYNCRETISM: 0.1 } weight = stage_weights.get(self.religious_stage, 0.5) # Quantum enhancement for catastrophic memory quantum_boost = self.cataclysm_correlation.quantum_coefficient * 0.2 return min(1.0, base_score * weight + quantum_boost) def _calculate_redaction_confidence(self) -> float: if not self.political_redactions: return 0.1 redaction_strengths = { PoliticalRedactionType.ROYAL_LEGITIMATION: 0.8, PoliticalRedactionType.IMPERIAL_ACCOMMODATION: 0.7, PoliticalRedactionType.THEOLOGICAL_CONSISTENCY: 0.6, PoliticalRedactionType.CULTURAL_SUPREMACY: 0.9, PoliticalRedactionType.PROPHETIC_FULFILLMENT: 0.5, PoliticalRedactionType.MIRACLE_EMBELLISHMENT: 0.7, PoliticalRedactionType.CHRONOLOGICAL_COMPRESSION: 0.8, PoliticalRedactionType.GENEALOGICAL_FABRICATION: 0.9 } confidence = mean([redaction_strengths.get(r, 0.5) for r in self.political_redactions]) return min(1.0, confidence) def _assess_artistic_preservation(self) -> float: base_preservation = 1.0 - self.redaction_confidence symbolic_boost = self.symbolic_density * 0.3 catastrophic_boost = self.catastrophic_memory_score * 0.4 quantum_preservation = self.quantum_temporal_score * 0.3 total = base_preservation + symbolic_boost + catastrophic_boost + quantum_preservation return min(1.0, total / 2.0) # Normalized def _calculate_quantum_temporal_score(self) -> float: """Calculate quantum temporal coherence score""" temporal_indicators = [ 'time', 'eternity', 'forever', 'age', 'generation', 'beginning', 'end', 'now', 'then', 'when' ] indicators_found = sum(1 for indicator in temporal_indicators if indicator in self.text_content.lower()) base_score = min(1.0, indicators_found * 0.1) # Boost for quantum analysis level if self.analysis_level == AnalysisLevel.QUANTUM: base_score *= 1.3 return min(1.0, base_score) @dataclass class IntegratedArtisticAnalysis(SerializableMixin): domain: ArtisticDomain work_identifier: str historical_context: HistoricalPeriod religious_context: ReligiousEvolutionStage content_analysis: Dict[str, Any] biblical_correlations: List[BiblicalTextAnalysis] catastrophic_memories: List[HistoricalCataclysm] truth_revelation_metrics: Dict[str, float] political_redaction_indicators: List[PoliticalRedactionType] analysis_timestamp: str = field(default_factory=lambda: datetime.now().isoformat()) correlation_id: str = field(default_factory=lambda: hashlib.md5(datetime.now().isoformat().encode()).hexdigest()[:8]) # Enhanced computed fields integrated_truth_score: float = field(init=False) historical_accuracy_score: float = field(init=False) quantum_coherence_score: float = field(init=False) temporal_fidelity_score: float = field(init=False) def __post_init__(self): self.integrated_truth_score = self._calculate_integrated_truth() self.historical_accuracy_score = self._calculate_historical_accuracy() self.quantum_coherence_score = self._calculate_quantum_coherence() self.temporal_fidelity_score = self._calculate_temporal_fidelity() def _calculate_integrated_truth(self) -> float: # Enhanced weighting with quantum factors artistic_truth = self.truth_revelation_metrics.get('symbolic_power', 0.5) * 0.25 biblical_alignment = len(self.biblical_correlations) * 0.15 / max(1, len(self.biblical_correlations)) catastrophic_preservation = len(self.catastrophic_memories) * 0.25 / max(1, len(self.catastrophic_memories)) redaction_resistance = (1.0 - len(self.political_redaction_indicators) * 0.1) * 0.15 quantum_coherence = self.truth_revelation_metrics.get('quantum_coherence', 0.3) * 0.20 total = artistic_truth + biblical_alignment + catastrophic_preservation + redaction_resistance + quantum_coherence return min(1.0, total) # Already normalized def _calculate_historical_accuracy(self) -> float: period_weights = { HistoricalPeriod.PRE_CATASTROPHIC: 0.9, HistoricalPeriod.EARLY_BRONZE: 0.8, HistoricalPeriod.MIDDLE_BRONZE: 0.7, HistoricalPeriod.LATE_BRONZE: 0.6, HistoricalPeriod.IRON_AGE_I: 0.5, HistoricalPeriod.IRON_AGE_II: 0.4, HistoricalPeriod.BABYLONIAN_EXILE: 0.3, HistoricalPeriod.PERSIAN_PERIOD: 0.3, HistoricalPeriod.HELLENISTIC: 0.2, HistoricalPeriod.ROMAN_PERIOD: 0.2, HistoricalPeriod.BYZANTINE: 0.1, HistoricalPeriod.MODERN: 0.1 } base_accuracy = period_weights.get(self.historical_context, 0.5) catastrophic_boost = len(self.catastrophic_memories) * 0.1 redaction_penalty = len(self.political_redaction_indicators) * 0.05 return max(0.1, min(1.0, base_accuracy + catastrophic_boost - redaction_penalty)) def _calculate_quantum_coherence(self) -> float: """Calculate quantum coherence across analysis dimensions""" temporal_indicators = self.content_analysis.get('temporal_anomalies', []) quantum_signatures = self.content_analysis.get('quantum_signatures', []) temporal_score = len(temporal_indicators) * 0.2 quantum_score = mean(quantum_signatures) if quantum_signatures else 0.3 # Boost for catastrophic memory quantum coefficients cataclysm_quantum = mean([c.quantum_coefficient for c in self.catastrophic_memories]) if self.catastrophic_memories else 0.0 total = temporal_score * 0.4 + quantum_score * 0.4 + cataclysm_quantum * 0.2 return min(1.0, total) def _calculate_temporal_fidelity(self) -> float: """Calculate temporal fidelity and anomaly detection""" base_fidelity = self.historical_accuracy_score * 0.6 quantum_temporal = self.quantum_coherence_score * 0.4 # Penalty for political redactions (distort temporal accuracy) redaction_penalty = len(self.political_redaction_indicators) * 0.05 return max(0.1, min(1.0, base_fidelity + quantum_temporal - redaction_penalty)) # ============================================================================= # ENHANCED SUPPORTING ENGINES v3.0 # ============================================================================= class LiteraryAnalysisEngine: def __init__(self, config: AnalysisConfig): self.config = config self._theme_cache = {} self._symbol_cache = {} @lru_cache(maxsize=1000) def analyze_literary_work(self, work_data: Dict[str, Any]) -> Dict[str, Any]: """Cached literary analysis with enhanced capabilities""" content = work_data.get('content', '') # Parallel processing for large texts with ThreadPoolExecutor(max_workers=self.config.get('max_workers', 4)) as executor: theme_future = executor.submit(self._extract_themes, content) symbol_future = executor.submit(self._analyze_symbols, content) quantum_future = executor.submit(self._analyze_quantum_signatures, content) themes = theme_future.result() symbols = symbol_future.result() quantum_signatures = quantum_future.result() return { 'content_analysis': ContentAnalysis( themes=themes, symbols=symbols, word_count=len(content.split()), complexity_score=self._calculate_complexity(content), archetypes=self._detect_archetypes(content), temporal_anomalies=self._detect_temporal_anomalies(content), quantum_signatures=quantum_signatures ), 'truth_metrics': TruthMetrics( symbolic_power=self._assess_symbolic_power(content), emotional_impact=self._assess_emotional_impact(content), cultural_significance=work_data.get('cultural_significance', 0.5), historical_accuracy=work_data.get('historical_accuracy', 0.4), philosophical_depth=self._assess_philosophical_depth(content), quantum_coherence=mean(quantum_signatures) if quantum_signatures else 0.3, temporal_fidelity=self._assess_temporal_fidelity(content) ) } def _extract_themes(self, text: str) -> List[str]: cache_key = hashlib.md5(text.encode()).hexdigest() if cache_key in self._theme_cache: return self._theme_cache[cache_key] themes = [] text_lower = text.lower() theme_indicators = { 'truth': ['truth', 'reality', 'knowledge', 'wisdom', 'enlightenment'], 'power': ['power', 'control', 'authority', 'dominance', 'rule'], 'love': ['love', 'romance', 'affection', 'passion', 'devotion'], 'death': ['death', 'mortality', 'afterlife', 'funeral', 'grave'], 'time': ['time', 'eternity', 'moment', 'forever', 'temporal'], 'quantum': ['quantum', 'superposition', 'entanglement', 'parallel', 'multiverse'] } for theme, indicators in theme_indicators.items(): if any(indicator in text_lower for indicator in indicators): themes.append(theme) self._theme_cache[cache_key] = themes return themes def _analyze_symbols(self, text: str) -> Dict[str, float]: cache_key = hashlib.md5(text.encode()).hexdigest() if cache_key in self._symbol_cache: return self._symbol_cache[cache_key] symbols = {} text_lower = text.lower() symbol_patterns = { 'light': ['light', 'bright', 'illumination', 'enlightenment', 'radiance'], 'dark': ['dark', 'shadow', 'night', 'obscurity', 'darkness'], 'water': ['water', 'river', 'ocean', 'flow', 'flood'], 'journey': ['journey', 'quest', 'travel', 'path', 'voyage'], 'quantum': ['wave', 'particle', 'observer', 'collapse', 'probability'] } for symbol, patterns in symbol_patterns.items(): matches = sum(1 for pattern in patterns if pattern in text_lower) symbols[symbol] = min(1.0, matches * 0.15) self._symbol_cache[cache_key] = symbols return symbols def _analyze_quantum_signatures(self, text: str) -> List[float]: """Detect quantum-level patterns in text""" signatures = [] text_lower = text.lower() # Quantum terminology detection quantum_terms = ['quantum', 'entanglement', 'superposition', 'observer', 'probability'] quantum_matches = sum(1 for term in quantum_terms if term in text_lower) signatures.append(min(1.0, quantum_matches * 0.2)) # Temporal anomaly detection temporal_terms = ['time', 'eternity', 'moment', 'now', 'then', 'parallel'] temporal_matches = sum(1 for term in temporal_terms if term in text_lower) signatures.append(min(1.0, temporal_matches * 0.15)) # Symbolic complexity symbolic_density = len(re.findall(r'\b(light|dark|water|fire|earth|air)\b', text_lower)) signatures.append(min(1.0, symbolic_density * 0.1)) return signatures def _detect_archetypes(self, text: str) -> List[str]: archetypes = [] text_lower = text.lower() archetype_patterns = { 'hero': ['hero', 'champion', 'savior', 'protagonist'], 'wise_elder': ['wise', 'sage', 'mentor', 'teacher', 'guide'], 'trickster': ['trickster', 'deceiver', 'jester', 'fool'], 'quantum_observer': ['observer', 'watcher', 'witness', 'seer'] } for archetype, patterns in archetype_patterns.items(): if any(pattern in text_lower for pattern in patterns): archetypes.append(archetype) return archetypes def _detect_temporal_anomalies(self, text: str) -> List[str]: anomalies = [] text_lower = text.lower() temporal_patterns = { 'time_loop': ['again', 'repeat', 'cycle', 'eternal return'], 'temporal_paradox': ['paradox', 'contradiction', 'impossible', 'before after'], 'quantum_leap': ['suddenly', 'instant', 'moment', 'shift'] } for anomaly, patterns in temporal_patterns.items(): if any(pattern in text_lower for pattern in patterns): anomalies.append(anomaly) return anomalies def _calculate_complexity(self, text: str) -> float: words = text.split() if not words: return 0.0 avg_word_length = mean([len(word) for word in words]) sentence_count = text.count('.') + text.count('!') + text.count('?') avg_sentence_length = len(words) / sentence_count if sentence_count > 0 else len(words) complexity = (avg_word_length * 0.3) + (avg_sentence_length * 0.2) / 10 return min(1.0, complexity) def _assess_symbolic_power(self, text: str) -> float: symbolic_terms = ['symbol', 'metaphor', 'allegory', 'representation', 'meaning'] matches = sum(1 for term in symbolic_terms if term in text.lower()) return min(1.0, matches * 0.2) def _assess_emotional_impact(self, text: str) -> float: emotional_words = ['love', 'hate', 'fear', 'joy', 'sorrow', 'anger', 'passion'] matches = sum(1 for word in emotional_words if word in text.lower()) return min(1.0, matches * 0.1) def _assess_philosophical_depth(self, text: str) -> float: philosophical_terms = ['truth', 'reality', 'existence', 'consciousness', 'being', 'meaning'] matches = sum(1 for term in philosophical_terms if term in text.lower()) return min(1.0, matches * 0.15) def _assess_temporal_fidelity(self, text: str) -> float: temporal_terms = ['time', 'eternity', 'moment', 'now', 'past', 'future'] matches = sum(1 for term in temporal_terms if term in text.lower()) return min(1.0, matches * 0.1) # ============================================================================= # MASTER ORCHESTRATION SYSTEM v3.0 # ============================================================================= class TatteredPastSystem: """ Master orchestration system for all analysis engines Enterprise-grade with caching, concurrency, and serialization """ _instance: ClassVar[Optional[Self]] = None _initialized: ClassVar[bool] = False def __new__(cls, config: Optional[AnalysisConfig] = None) -> Self: if cls._instance is None: cls._instance = super().__new__(cls) return cls._instance def __init__(self, config: Optional[AnalysisConfig] = None): if self._initialized: return self.config = config or AnalysisConfig( level=AnalysisLevel.STANDARD, enable_quantum_analysis=True, enable_temporal_analysis=True, max_workers=8, cache_enabled=True, output_format='json' ) # Initialize engines with dependency injection self.historical_engine = HistoricalReevaluationEngine(self.config) self.artistic_engine = ArtisticExpressionEngine(self.historical_engine, self.config) self.historical_engine.artistic_analyzer = self.artistic_engine # Initialize analysis cache self._analysis_cache = {} self._result_store = Path('./analysis_results') self._result_store.mkdir(exist_ok=True) self._initialized = True logger.info("TatteredPastSystem initialized with enterprise features") async def analyze_workflow(self, domain: ArtisticDomain, work_data: Dict[str, Any], analysis_level: AnalysisLevel = AnalysisLevel.STANDARD) -> IntegratedArtisticAnalysis: """ Master analysis workflow with concurrent processing and caching """ # Generate cache key cache_key = self._generate_cache_key(domain, work_data, analysis_level) # Check cache if self.config['cache_enabled'] and cache_key in self._analysis_cache: logger.info(f"Cache hit for analysis: {cache_key}") return self._analysis_cache[cache_key] # Concurrent analysis tasks analysis_task = asyncio.create_task( self.artistic_engine.analyze_artistic_work_integrated(domain, work_data, analysis_level) ) # Wait for completion analysis_result = await analysis_task # Cache result if self.config['cache_enabled']: self._analysis_cache[cache_key] = analysis_result # Serialize result await self._serialize_analysis_result(analysis_result) return analysis_result async def batch_analyze_works(self, works: List[Tuple[ArtisticDomain, Dict[str, Any]]], analysis_level: AnalysisLevel = AnalysisLevel.STANDARD) -> List[IntegratedArtisticAnalysis]: """ Batch analyze multiple works with maximum concurrency """ tasks = [ self.analyze_workflow(domain, work_data, analysis_level) for domain, work_data in works ] results = await asyncio.gather(*tasks, return_exceptions=True) # Filter out exceptions valid_results = [r for r in results if not isinstance(r, Exception)] logger.info(f"Batch analysis completed: {len(valid_results)}/{len(works)} successful") return valid_results def _generate_cache_key(self, domain: ArtisticDomain, work_data: Dict[str, Any], analysis_level: AnalysisLevel) -> str: """Generate unique cache key for analysis""" content = work_data.get('content', '') or work_data.get('description', '') or work_data.get('lyrics', '') key_data = f"{domain.value}:{work_data.get('identifier', 'unknown')}:{analysis_level.value}:{content}" return hashlib.md5(key_data.encode()).hexdigest() async def _serialize_analysis_result(self, result: IntegratedArtisticAnalysis) -> None: """Serialize analysis result to file""" timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") filename = f"analysis_{result.correlation_id}_{timestamp}.json" filepath = self._result_store / filename await asyncio.to_thread(result.to_json_file, str(filepath)) logger.info(f"Analysis result serialized: {filepath}") def get_system_metrics(self) -> Dict[str, Any]: """Get system performance and usage metrics""" return { 'cache_size': len(self._analysis_cache), 'result_store_count': len(list(self._result_store.glob('*.json'))), 'config': self.config, 'initialized': self._initialized, 'timestamp': datetime.now().isoformat() } def clear_cache(self) -> None: """Clear analysis cache""" self._analysis_cache.clear() logger.info("Analysis cache cleared") # ============================================================================= # ENHANCED CORE ENGINES v3.0 # ============================================================================= class HistoricalReevaluationEngine: """Enhanced historical engine with caching and enterprise features""" def __init__(self, config: AnalysisConfig): self.config = config self.cataclysm_database = self._initialize_cataclysm_db() self.religious_evolution_db = self._initialize_religious_evolution_db() self.artistic_analyzer = None # Injected later self.political_analyzer = PoliticalRedactionAnalyzer(config) logger.info("HistoricalReevaluationEngine initialized with enhanced features") @lru_cache(maxsize=1) def _initialize_cataclysm_db(self) -> Dict[str, HistoricalCataclysm]: """Cached cataclysm database initialization""" return { 'biblical_flood': HistoricalCataclysm( name="Biblical Flood", cataclysm_type=CataclysmType.COSMIC_IMPACT, traditional_description="Global flood, divine punishment", scientific_explanation="Cometary debris impact causing regional tidal surges", estimated_date=(-5600, -5500), geological_evidence=["Black Sea deluge evidence", "Mediterranean breaching"], biblical_references=["Genesis 6-9"], artistic_depictions=["Mesopotamian flood myths", "Gilgamesh epic"], scientific_correlation=0.94, political_redactions=[PoliticalRedactionType.THEOLOGICAL_CONSISTENCY], temporal_echo_patterns=["global flood myths", "ark narratives"] ), 'sodom_gomorrah': HistoricalCataclysm( name="Sodom and Gomorrah", cataclysm_type=CataclysmType.AIRBURST, traditional_description="Divine fire and brimstone", scientific_explanation="Tunguska-like airburst over Dead Sea region", estimated_date=(-1650, -1600), geological_evidence=["Tall el-Hammam impact melt layers", "Sulfur deposits"], biblical_references=["Genesis 19"], artistic_depictions=["Renaissance paintings", "Ancient mosaics"], scientific_correlation=0.96, political_redactions=[PoliticalRedactionType.MIRACLE_EMBELLISHMENT], temporal_echo_patterns=["city destruction myths", "fire from heaven stories"] ) } @lru_cache(maxsize=1) def _initialize_religious_evolution_db(self) -> Dict[ReligiousEvolutionStage, ReligiousEvolutionAnalysis]: """Cached religious evolution database""" return { ReligiousEvolutionStage.ANIMISTIC_NATURALISM: ReligiousEvolutionAnalysis( stage=ReligiousEvolutionStage.ANIMISTIC_NATURALISM, timeframe="Pre-3000 BCE", characteristics=["Nature spirits", "Local deities", "Ancestor worship"], political_drivers=["Tribal cohesion", "Environmental adaptation"], archaeological_evidence=["Canaanite high places", "Household shrines"], key_developments={"base": "Natural phenomenon deification"}, artistic_expressions=["Petroglyphs", "Clay figurines", "Megalithic art"] ), ReligiousEvolutionStage.CANAANITE_SYNCRETISM: ReligiousEvolutionAnalysis( stage=ReligiousEvolutionStage.CANAANITE_SYNCRETISM, timeframe="3000-1200 BCE", characteristics=["El as high god", "Baal as storm god", "Asherah as consort"], political_drivers=["City-state formation", "Trade network integration"], archaeological_evidence=["Ugaritic texts", "Canaanite temples"], key_developments={"yahweh_origin": "Yahweh as minor warrior god in Canaanite pantheon"}, artistic_expressions=["Canaanite metalwork", "Temple architecture", "Cultic objects"] ) } async def analyze_biblical_passage(self, book: str, chapter_verse: str, text: str, analysis_level: AnalysisLevel = AnalysisLevel.STANDARD) -> BiblicalTextAnalysis: """Enhanced biblical analysis with configurable levels""" historical_context = self._determine_historical_context(book, chapter_verse) religious_stage = self._determine_religious_stage(historical_context) cataclysm = self._identify_cataclysm_correlation(text) political_redactions = self.political_analyzer.analyze_redactions(text, historical_context) return BiblicalTextAnalysis( book=book, chapter_verse=chapter_verse, historical_period=historical_context, religious_stage=religious_stage, text_content=text, literal_interpretation="Traditional theological interpretation", scientific_reinterpretation=self._provide_scientific_reinterpretation(text, cataclysm), cataclysm_correlation=cataclysm, political_redactions=political_redactions, analysis_level=analysis_level ) def _determine_historical_context(self, book: str, chapter_verse: str) -> HistoricalPeriod: early_books = ["Genesis", "Exodus", "Leviticus", "Numbers", "Deuteronomy"] if book in early_books: return HistoricalPeriod.LATE_BRONZE return HistoricalPeriod.IRON_AGE_II def _determine_religious_stage(self, historical_period: HistoricalPeriod) -> ReligiousEvolutionStage: mapping = { HistoricalPeriod.PRE_CATASTROPHIC: ReligiousEvolutionStage.ANIMISTIC_NATURALISM, HistoricalPeriod.EARLY_BRONZE: ReligiousEvolutionStage.ANIMISTIC_NATURALISM, HistoricalPeriod.MIDDLE_BRONZE: ReligiousEvolutionStage.CANAANITE_SYNCRETISM, HistoricalPeriod.LATE_BRONZE: ReligiousEvolutionStage.CANAANITE_SYNCRETISM, HistoricalPeriod.IRON_AGE_I: ReligiousEvolutionStage.MONOTHEISTIC_REVOLUTION, HistoricalPeriod.IRON_AGE_II: ReligiousEvolutionStage.MONOTHEISTIC_REVOLUTION, } return mapping.get(historical_period, ReligiousEvolutionStage.MONOTHEISTIC_REVOLUTION) def _identify_cataclysm_correlation(self, text: str) -> Optional[HistoricalCataclysm]: text_lower = text.lower() if any(word in text_lower for word in ['flood', 'deluge', 'waters']): return self.cataclysm_database['biblical_flood'] elif any(word in text_lower for word in ['fire', 'brimstone', 'sodom', 'gomorrah']): return self.cataclysm_database['sodom_gomorrah'] return None def _provide_scientific_reinterpretation(self, text: str, cataclysm: Optional[HistoricalCataclysm]) -> str: if not cataclysm: return "No clear cataclysm correlation identified" return f"Scientific: {cataclysm.scientific_explanation}. Correlation: {cataclysm.scientific_correlation:.2f}" class ArtisticExpressionEngine: """Enhanced artistic engine with concurrent processing""" def __init__(self, historical_engine: HistoricalReevaluationEngine, config: AnalysisConfig): self.historical_engine = historical_engine self.config = config self.literary_analyzer = LiteraryAnalysisEngine(config) self.lyrical_analyzer = LyricalAnalysisEngine(config) logger.info("ArtisticExpressionEngine initialized with concurrent processing") async def analyze_artistic_work_integrated(self, domain: ArtisticDomain, work_data: Dict[str, Any], analysis_level: AnalysisLevel = AnalysisLevel.STANDARD) -> IntegratedArtisticAnalysis: """Enhanced analysis with true concurrent processing""" # Domain-specific analysis if domain == ArtisticDomain.LITERATURE: domain_analysis = await asyncio.to_thread(self.literary_analyzer.analyze_literary_work, work_data) elif domain == ArtisticDomain.MUSIC: domain_analysis = await asyncio.to_thread(self.lyrical_analyzer.analyze_lyrics, work_data) else: domain_analysis = await self._generic_artistic_analysis(work_data) # Historical context historical_context = self._determine_artistic_period(work_data) religious_context = self.historical_engine._determine_religious_stage(historical_context) # Concurrent sub-analyses correlations_task = asyncio.create_task( self._find_biblical_correlations(work_data, domain_analysis) ) memories_task = asyncio.create_task( self._detect_catastrophic_memories(work_data, domain_analysis) ) redactions_task = asyncio.create_task( self._analyze_political_redactions(work_data, historical_context) ) # Gather all results concurrently biblical_correlations, catastrophic_memories, political_redactions = await asyncio.gather( correlations_task, memories_task, redactions_task ) return IntegratedArtisticAnalysis( domain=domain, work_identifier=work_data.get('identifier', 'unknown'), historical_context=historical_context, religious_context=religious_context, content_analysis=domain_analysis.get('content_analysis', {}), biblical_correlations=biblical_correlations, catastrophic_memories=catastrophic_memories, truth_revelation_metrics=domain_analysis.get('truth_metrics', {}), political_redaction_indicators=political_redactions ) def _determine_artistic_period(self, work_data: Dict[str, Any]) -> HistoricalPeriod: period_str = work_data.get('period', '').lower() if 'bronze' in period_str: return HistoricalPeriod.LATE_BRONZE elif 'iron' in period_str: return HistoricalPeriod.IRON_AGE_II elif 'hellenistic' in period_str: return HistoricalPeriod.HELLENISTIC elif 'roman' in period_str: return HistoricalPeriod.ROMAN_PERIOD else: return HistoricalPeriod.IRON_AGE_II async def _find_biblical_correlations(self, work_data: Dict[str, Any], domain_analysis: Dict[str, Any]) -> List[BiblicalTextAnalysis]: """Async biblical correlation analysis""" correlations = [] content = work_data.get('content', '') or work_data.get('description', '') or work_data.get('lyrics', '') biblical_themes = ['creation', 'flood', 'exodus', 'prophet', 'messiah', 'apocalypse'] found_themes = [theme for theme in biblical_themes if theme in content.lower()] for theme in found_themes: simplified_analysis = BiblicalTextAnalysis( book="Correlation", chapter_verse="1:1", historical_period=HistoricalPeriod.IRON_AGE_II, religious_stage=ReligiousEvolutionStage.MONOTHEISTIC_REVOLUTION, text_content=f"Theme: {theme}", literal_interpretation="Artistic representation", scientific_reinterpretation="Cultural memory preservation", cataclysm_correlation=None, political_redactions=[] ) correlations.append(simplified_analysis) return correlations async def _detect_catastrophic_memories(self, work_data: Dict[str, Any], domain_analysis: Dict[str, Any]) -> List[HistoricalCataclysm]: """Async catastrophic memory detection""" memories = [] content = work_data.get('content', '') or work_data.get('description', '') or work_data.get('lyrics', '') cataclysm_indicators = { 'biblical_flood': ['flood', 'deluge', 'waters', 'rainbow'], 'sodom_gomorrah': ['fire', 'brimstone', 'sulfur', 'city destruction'] } for cataclysm_key, indicators in cataclysm_indicators.items(): if any(indicator in content.lower() for indicator in indicators): cataclysm = self.historical_engine.cataclysm_database.get(cataclysm_key) if cataclysm: memories.append(cataclysm) return memories async def _analyze_political_redactions(self, work_data: Dict[str, Any], historical_context: HistoricalPeriod) -> List[PoliticalRedactionType]: """Async political redaction analysis""" redactions = [] content = work_data.get('content', '') or work_data.get('description', '') if 'king' in content.lower() or 'royal' in content.lower(): redactions.append(PoliticalRedactionType.ROYAL_LEGITIMATION) if 'empire' in content.lower() or 'emperor' in content.lower(): redactions.append(PoliticalRedactionType.IMPERIAL_ACCOMMODATION) if 'miracle' in content.lower() or 'divine' in content.lower(): redactions.append(PoliticalRedactionType.MIRACLE_EMBELLISHMENT) return redactions async def _generic_artistic_analysis(self, work_data: Dict[str, Any]) -> Dict[str, Any]: """Generic async artistic analysis""" return { 'content_analysis': { 'description': work_data.get('description', ''), 'themes': work_data.get('themes', []), 'techniques': work_data.get('techniques', []) }, 'truth_metrics': { 'symbolic_power': 0.5, 'emotional_impact': 0.5, 'cultural_significance': 0.5, 'historical_accuracy': 0.3, 'philosophical_depth': 0.4 } } # ============================================================================= # ENHANCED SUPPORTING COMPONENTS v3.0 # ============================================================================= class LyricalAnalysisEngine: def __init__(self, config: AnalysisConfig): self.config = config def analyze_lyrics(self, song_data: Dict[str, Any]) -> Dict[str, Any]: lyrics = song_data.get('lyrics', '') return { 'content_analysis': { 'archetypes': self._detect_archetypes(lyrics), 'hidden_knowledge': self._find_hidden_knowledge(lyrics), 'esoteric_score': self._calculate_esoteric_density(lyrics) }, 'truth_metrics': { 'symbolic_power': self._calculate_esoteric_density(lyrics), 'emotional_impact': 0.7, 'cultural_significance': song_data.get('cultural_significance', 0.5), 'historical_accuracy': 0.3, 'philosophical_depth': self._assess_philosophical_depth(lyrics) } } def _detect_archetypes(self, lyrics: str) -> List[str]: archetypes = [] lyrics_lower = lyrics.lower() archetype_patterns = { 'cosmic_revelation': ['black hole', 'sun', 'star', 'galaxy', 'cosmic'], 'quantum_metaphor': ['quantum', 'superposition', 'entanglement'], 'historical_cipher': ['ancient', 'lost civilization', 'atlantis'], 'consciousness_code': ['consciousness', 'awareness', 'mind'] } for archetype, patterns in archetype_patterns.items(): if any(pattern in lyrics_lower for pattern in patterns): archetypes.append(archetype) return archetypes def _find_hidden_knowledge(self, lyrics: str) -> List[str]: knowledge = [] lyrics_lower = lyrics.lower() if 'black hole sun' in lyrics_lower: knowledge.append("ENCODED_PHRASE:black hole sun") numbers = re.findall(r'\b(11|22|33|44|108|144)\b', lyrics) if numbers: knowledge.append(f"SACRED_NUMBERS:{numbers}") return knowledge def _calculate_esoteric_density(self, lyrics: str) -> float: esoteric_terms = ['mystery', 'secret', 'hidden', 'arcane', 'occult'] matches = sum(1 for term in esoteric_terms if term in lyrics.lower()) word_count = len(lyrics.split()) return min(1.0, matches / max(1, word_count) * 20) def _assess_philosophical_depth(self, lyrics: str) -> float: philosophical_terms = ['truth', 'reality', 'existence', 'consciousness'] matches = sum(1 for term in philosophical_terms if term in lyrics.lower()) return min(1.0, matches * 0.2) class PoliticalRedactionAnalyzer: def __init__(self, config: AnalysisConfig): self.config = config def analyze_redactions(self, text: str, historical_context: HistoricalPeriod) -> List[PoliticalRedactionType]: redactions = [] text_lower = text.lower() if any(word in text_lower for word in ['king', 'royal', 'throne']): redactions.append(PoliticalRedactionType.ROYAL_LEGITIMATION) if any(word in text_lower for word in ['empire', 'emperor', 'caesar']): redactions.append(PoliticalRedactionType.IMPERIAL_ACCOMMODATION) if any(word in text_lower for word in ['miracle', 'wonder', 'sign']): redactions.append(PoliticalRedactionType.MIRACLE_EMBELLISHMENT) if any(word in text_lower for word in ['chosen', 'elect', 'superior']): redactions.append(PoliticalRedactionType.CULTURAL_SUPREMACY) return redactions # ============================================================================= # ADVANCED DEMONSTRATION v3.0 # ============================================================================= async def demonstrate_enterprise_capabilities(): """Demonstrate v3.0 enterprise features""" print("\n" + "="*80) print("šŸš€ TATTERED PAST FRAMEWORK v3.0 - ENTERPRISE DEMONSTRATION") print("="*80) # Initialize enterprise system config = AnalysisConfig( level=AnalysisLevel.QUANTUM, enable_quantum_analysis=True, enable_temporal_analysis=True, max_workers=8, cache_enabled=True, output_format='json' ) system = TatteredPastSystem(config) # Batch analysis demonstration works_to_analyze = [ (ArtisticDomain.LITERATURE, { 'title': 'Mona Lisa', 'identifier': 'da-vinci-mona-lisa', 'content': 'Enigmatic portrait with cosmic landscape and temporal anomalies', 'period': 'Renaissance', 'cultural_context': 'Italian Renaissance' }), (ArtisticDomain.LITERATURE, { 'title': 'Vitruvian Man', 'identifier': 'da-vinci-vitruvian', 'content': 'Human proportions with quantum geometry and ancient measurement systems', 'period': 'Renaissance', 'cultural_context': 'Renaissance humanism' }), (ArtisticDomain.MUSIC, { 'title': 'Black Hole Sun', 'identifier': 'soundgarden-bhs', 'lyrics': 'Black hole sun wont you come wash away the rain cosmic revelation', 'period': 'Modern', 'cultural_context': '1990s grunge' }) ] print("\nšŸ” BATCH ANALYSIS INITIATED (Concurrent Processing)") results = await system.batch_analyze_works(works_to_analyze, AnalysisLevel.QUANTUM) print(f"āœ… Batch analysis completed: {len(results)} works processed") # Display enhanced metrics for result in results: print(f"\nšŸ“Š {result.work_identifier.upper()}") print(f" Integrated Truth Score: {result.integrated_truth_score:.3f}") print(f" Quantum Coherence: {result.quantum_coherence_score:.3f}") print(f" Temporal Fidelity: {result.temporal_fidelity_score:.3f}") print(f" Historical Accuracy: {result.historical_accuracy_score:.3f}") print(f" Catastrophic Memories: {len(result.catastrophic_memories)}") print(f" Correlation ID: {result.correlation_id}") # System metrics metrics = system.get_system_metrics() print(f"\nšŸ“ˆ SYSTEM METRICS:") print(f" Cache Size: {metrics['cache_size']}") print(f" Stored Results: {metrics['result_store_count']}") print(f" Analysis Level: {metrics['config']['level'].value}") print(f"\nšŸ’« QUANTUM TEMPORAL ANALYSIS: OPERATIONAL") print(" Enterprise-grade framework ready for production deployment") print(" Concurrent processing, caching, and serialization active") # ============================================================================= # MAIN EXECUTION v3.0 # ============================================================================= async def main(): """Enterprise-grade main execution""" try: # Add correlation ID to logging correlation_id = hashlib.md5(datetime.now().isoformat().encode()).hexdigest()[:8] logging.LoggerAdapter(logger, {'correlation_id': correlation_id}) logger.info("Starting Tattered Past Framework v3.0") await demonstrate_enterprise_capabilities() logger.info("Framework execution completed successfully") except Exception as e: logger.error(f"Framework execution failed: {e}") raise if __name__ == "__main__": asyncio.run(main())