early religion module

#!/usr/bin/env python3
"""
OBSERVER-ENGINE COGNITIVE ARCHITECTURE - EARLY RELIGIONS MODULE
Analysis from Babylonian Period to Pre-Crusades (600 BCE - 1000 CE)
Tracking Inversion Sophistication Gradient and Doctrinal Evolution
"""

import numpy as np
import asyncio
import hashlib
import json
import secrets
import logging
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Any, Optional, Tuple, Callable
from datetime import datetime, timedelta
import scipy.stats as stats
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.hkdf import HKDF
from cryptography.hazmat.backends import default_backend
import qiskit
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, transpile
from qiskit_aer import AerSimulator
from qiskit.algorithms import AmplificationProblem, Grover
from qiskit.circuit.library import PhaseOracle
from qiskit.quantum_info import Statevector, random_statevector
import torch
import torch.nn as nn
import torch.nn.functional as F
from transformers import AutoTokenizer, AutoModel
import aiohttp
import redis
import sqlite3
from contextlib import asynccontextmanager
import psutil
import gc
import os
import sys
from pathlib import Path
import uuid
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
import matplotlib.pyplot as plt
import seaborn as sns
from wordcloud import WordCloud
import networkx as nx

# =============================================================================
# INVERSION SOPHISTICATION GRADIENT TRACKER
# =============================================================================

class InversionSophisticationTracker:
    """Tracks increasing subtlety of inversion techniques across historical periods"""
    
    def __init__(self):
        self.sophistication_metrics = {
            'surface_justification_quality': {
                'description': "How reasonable the inversion appears on surface",
                'early_period_range': (0.1, 0.4),
                'middle_period_range': (0.4, 0.7),
                'late_period_range': (0.7, 0.95)
            },
            'technical_complexity': {
                'description': "Use of complex systems to obscure control mechanisms",
                'early_period_range': (0.1, 0.3),
                'middle_period_range': (0.3, 0.6),
                'late_period_range': (0.6, 0.9)
            },
            'bureaucratic_layers': {
                'description': "Administrative complexity hiding power moves",
                'early_period_range': (0.1, 0.4),
                'middle_period_range': (0.4, 0.7),
                'late_period_range': (0.7, 0.95)
            },
            'plausible_deniability': {
                'description': "Ability to deny inversion as power grab",
                'early_period_range': (0.1, 0.3),
                'middle_period_range': (0.3, 0.6),
                'late_period_range': (0.6, 0.9)
            },
            'public_benefit_claims': {
                'description': "Masking control as public service",
                'early_period_range': (0.1, 0.4),
                'middle_period_range': (0.4, 0.7),
                'late_period_range': (0.7, 0.95)
            }
        }
        
        self.historical_periods = {
            'early_period': {
                'range': (-600, 300),  # BCE to CE
                'examples': ['Babylonian', 'Persian', 'Early Roman'],
                'characteristics': ['Blatant power grabs', 'Direct text alteration', 'Forceful imposition']
            },
            'middle_period': {
                'range': (300, 800),  # CE
                'examples': ['Constantinian', 'Byzantine', 'Early Medieval'],
                'characteristics': ['Bureaucratic mechanisms', 'Council decisions', 'Legal frameworks']
            },
            'late_period': {
                'range': (800, 1100),  # CE up to Crusades
                'examples': ['Carolingian', 'Ottonian', 'Pre-Crusades Papacy'],
                'characteristics': ['Technical justifications', 'Administrative complexity', 'Plausible deniability']
            }
        }
        
        self.logger = self._setup_logging()
    
    def _setup_logging(self):
        logger = logging.getLogger('InversionSophistication')
        logger.setLevel(logging.INFO)
        return logger

    def analyze_sophistication_level(self, religious_element: str, historical_context: Dict) -> Dict[str, Any]:
        """Analyze the sophistication level of inversion techniques"""
        try:
            period = self._determine_historical_period(historical_context)
            sophistication_scores = {}
            
            for metric_name, metric_data in self.sophistication_metrics.items():
                score = self._calculate_metric_score(religious_element, metric_name, period)
                sophistication_scores[metric_name] = {
                    'score': score,
                    'expected_range': metric_data[f'{period}_range'],
                    'within_expected': self._check_within_expected(score, metric_data[f'{period}_range']),
                    'description': metric_data['description']
                }
            
            overall_sophistication = np.mean([s['score'] for s in sophistication_scores.values()])
            
            return {
                'historical_period': period,
                'period_characteristics': self.historical_periods[period]['characteristics'],
                'overall_sophistication': overall_sophistication,
                'sophistication_breakdown': sophistication_scores,
                'inversion_detection_difficulty': self._calculate_detection_difficulty(overall_sophistication),
                'sophistication_trend': self._analyze_sophistication_trend(period, overall_sophistication)
            }
            
        except Exception as e:
            self.logger.error(f"Sophistication analysis failed: {e}")
            return {
                'historical_period': 'unknown',
                'overall_sophistication': 0.5,
                'error': str(e)
            }
    
    def _determine_historical_period(self, context: Dict) -> str:
        """Determine which historical period the element belongs to"""
        year = context.get('year', 0)
        
        if self.historical_periods['early_period']['range'][0] <= year <= self.historical_periods['early_period']['range'][1]:
            return 'early_period'
        elif self.historical_periods['middle_period']['range'][0] <= year <= self.historical_periods['middle_period']['range'][1]:
            return 'middle_period'
        elif self.historical_periods['late_period']['range'][0] <= year <= self.historical_periods['late_period']['range'][1]:
            return 'late_period'
        else:
            return 'early_period'  # Default
    
    def _calculate_metric_score(self, text: str, metric: str, period: str) -> float:
        """Calculate score for specific sophistication metric"""
        base_score = self.sophistication_metrics[metric][f'{period}_range'][0]
        
        metric_indicators = {
            'surface_justification_quality': [
                'for the common good', 'to maintain order', 'for spiritual unity',
                'to prevent error', 'for the benefit of all'
            ],
            'technical_complexity': [
                'theological precision', 'doctrinal clarity', 'canonical authority',
                'ecclesiastical procedure', 'sacramental validity'
            ],
            'bureaucratic_layers': [
                'council decision', 'synod ruling', 'papal decree',
                'ecclesiastical court', 'canon law'
            ],
            'plausible_deniability': [
                'interpretation', 'tradition', 'custom', 'precedent',
                'ancient practice', 'apostolic succession'
            ],
            'public_benefit_claims': [
                'spiritual welfare', 'salvation of souls', 'divine service',
                'pastoral care', 'religious education'
            ]
        }
        
        indicators = metric_indicators.get(metric, [])
        matches = sum(1 for indicator in indicators if indicator in text.lower())
        
        score_boost = min(0.6, matches * 0.1)
        return min(1.0, base_score + score_boost)
    
    def _check_within_expected(self, score: float, expected_range: Tuple[float, float]) -> bool:
        """Check if score is within expected range for period"""
        return expected_range[0] <= score <= expected_range[1]
    
    def _calculate_detection_difficulty(self, sophistication: float) -> str:
        """Calculate how difficult inversion is to detect"""
        if sophistication < 0.3:
            return "EASY - Blatant and obvious"
        elif sophistication < 0.6:
            return "MODERATE - Requires careful analysis"
        else:
            return "DIFFICULT - Highly sophisticated and subtle"
    
    def _analyze_sophistication_trend(self, period: str, current_sophistication: float) -> str:
        """Analyze the trend of increasing sophistication"""
        if period == 'early_period' and current_sophistication > 0.5:
            return "UNUSUALLY_SOPHISTICATED_FOR_PERIOD"
        elif period == 'late_period' and current_sophistication < 0.5:
            return "UNUSUALLY_PRIMITIVE_FOR_PERIOD"
        else:
            return "TYPICAL_FOR_PERIOD"

# =============================================================================
# EARLY RELIGIONS DATABASE (600 BCE - 1000 CE)
# =============================================================================

class EarlyReligionsDatabase:
    """Comprehensive database of early religious developments"""
    
    def __init__(self):
        self.religious_movements = self._initialize_movements()
        self.key_figures = self._initialize_figures()
        self.council_decisions = self._initialize_councils()
        self.doctrinal_developments = self._initialize_doctrines()
        self.logger = self._setup_logging()
    
    def _setup_logging(self):
        logger = logging.getLogger('EarlyReligionsDB')
        logger.setLevel(logging.INFO)
        return logger
    
    def _initialize_movements(self) -> Dict[str, Any]:
        """Initialize early religious movements database"""
        return {
            'zoroastrianism': {
                'time_period': "600 BCE - 600 CE",
                'founder': "Zarathustra (Zoroaster)",
                'core_teachings': [
                    "Cosmic dualism (Ahura Mazda vs Angra Mainyu)",
                    "Free will and moral choice",
                    "Final judgment and afterlife",
                    "Importance of good thoughts, words, deeds"
                ],
                'influence_on': ['Judaism', 'Christianity', 'Islam'],
                'inversion_points': [
                    "Sassanian state religion consolidation",
                    "Priestly class (Magi) gaining exclusive ritual authority"
                ]
            },
            'second_temple_judaism': {
                'time_period': "516 BCE - 70 CE",
                'key_developments': [
                    "Development of apocalyptic literature",
                    "Rise of Pharisees, Sadducees, Essenes",
                    "Synagogue system alongside Temple",
                    "Concept of resurrection and messianism"
                ],
                'inversion_points': [
                    "Hellenization pressures under Greek rulers",
                    "Roman occupation and Temple destruction",
                    "Rabbinic Judaism replacing priestly system"
                ]
            },
            'early_christianity': {
                'time_period': "30 CE - 300 CE",
                'key_developments': [
                    "Jesus movement and apostolic preaching",
                    "Pauline missions to Gentiles",
                    "Development of church structure",
                    "Persecution and martyrdom"
                ],
                'inversion_points': [
                    "Constantinian shift (312 CE)",
                    "Council of Nicaea (325 CE)",
                    "Development of clerical hierarchy"
                ]
            },
            'gnostic_movements': {
                'time_period': "1st - 4th centuries CE",
                'key_teachings': [
                    "Direct spiritual knowledge (gnosis)",
                    "Demiurge vs true God distinction",
                    "Spiritual liberation from material world",
                    "Inner divine spark in humans"
                ],
                'suppression_events': [
                    "Declared heretical by orthodox Christianity",
                    "Texts destroyed or hidden (Nag Hammadi discovery)"
                ]
            },
            'manichaeism': {
                'time_period': "3rd - 7th centuries CE",
                'founder': "Mani",
                'core_teachings': [
                    "Synthesis of Zoroastrian, Christian, Buddhist elements",
                    "Cosmic struggle between light and darkness",
                    "Reincarnation and spiritual evolution",
                    "Elect and Hearer classes"
                ],
                'suppression_events': [
                    "Persecuted by Roman Empire",
                    "Suppressed by Christianity and Islam",
                    "Almost completely eradicated"
                ]
            },
            'early_islam': {
                'time_period': "610 - 1000 CE",
                'key_developments': [
                    "Quranic revelation to Muhammad",
                    "Early caliphate and expansion",
                    "Sunni-Shia split",
                    "Development of Islamic law and theology"
                ],
                'inversion_points': [
                    "Umayyad caliphate political consolidation",
                    "Abbasid revolution and institutionalization"
                ]
            }
        }
    
    def _initialize_figures(self) -> Dict[str, Any]:
        """Initialize key religious figures database"""
        return {
            'zarathustra': {
                'tradition': 'zoroastrianism',
                'teachings': [
                    "Human free will in cosmic struggle",
                    "Individual responsibility for moral choices",
                    "Universal salvation potential"
                ],
                'inversion_warnings': [
                    "Later priestly class monopolized ritual access",
                    "State adoption diluted spiritual focus"
                ]
            },
            'jesus_of_nazareth': {
                'tradition': 'early_christianity',
                'original_teachings': [
                    "Kingdom of God within",
                    "Direct relationship with God",
                    "Love and compassion as primary",
                    "Critique of religious establishment"
                ],
                'inversion_warnings': [
                    "Institutional church structure",
                    "Dogmatic creed development",
                    "Political alliance with state power"
                ]
            },
            'paul_of_tarsus': {
                'tradition': 'early_christianity',
                'contributions': [
                    "Universalization beyond Judaism",
                    "Theological framework development",
                    "Church organization principles"
                ],
                'controversies': [
                    "Potential institutionalization of charisma",
                    "Complex relationship with original teachings"
                ]
            },
            'manichaean_elect': {
                'tradition': 'manichaeism',
                'role': "Spiritual elite with direct gnosis",
                'inversion_danger': "Hierarchical spiritual classes",
                'suppression_fate': "Systematic destruction by established religions"
            }
        }
    
    def _initialize_councils(self) -> Dict[str, Any]:
        """Initialize religious council decisions database"""
        return {
            'council_of_nicaea_325': {
                'context': "Called by Emperor Constantine",
                'key_decisions': [
                    "Nicene Creed formulation",
                    "Arianism condemnation",
                    "Easter date standardization",
                    "Bishop authority structures"
                ],
                'inversion_indicators': [
                    "State power enforcing religious doctrine",
                    "Centralization of theological authority",
                    "Exclusion of alternative viewpoints"
                ]
            },
            'council_of_constantinople_381': {
                'key_decisions': [
                    "Holy Spirit divinity affirmed",
                    "Nicene Creed expansion",
                    "Constantinople primacy established"
                ],
                'power_consolidation': "Imperial and ecclesiastical authority merger"
            },
            'council_of_ephesus_431': {
                'key_decisions': [
                    "Nestorianism condemnation",
                    "Theotokos (Mary as God-bearer) affirmed"
                ],
                'political_aspects': "Alexandrian vs Antiochene theological schools conflict"
            },
            'council_of_chalcedon_451': {
                'key_decisions': [
                    "Christological definition",
                    "Two natures of Christ doctrine"
                ],
                'schism_creation': "Oriental Orthodox churches separation"
            }
        }
    
    def _initialize_doctrines(self) -> Dict[str, Any]:
        """Initialize doctrinal developments database"""
        return {
            'trinity_development': {
                'timeline': [
                    "1st century: Early Christian experience of Father, Son, Spirit",
                    "2nd-3rd centuries: Theological speculation and debate",
                    "4th century: Council definitions and creedal formulation"
                ],
                'inversion_analysis': "From experiential mystery to dogmatic formula",
                'control_mechanisms': "Doctrinal orthodoxy as membership requirement"
            },
            'sacramental_system': {
                'development': [
                    "Early: Simple rituals (baptism, eucharist)",
                    "3rd-4th centuries: Elaboration and multiplication",
                    "5th-6th centuries: Clerical control established"
                ],
                'inversion_point': "Grace mediated exclusively through clergy",
                'original_state': "Direct spiritual access for all believers"
            },
            'biblical_canon': {
                'formation': [
                    "1st-2nd centuries: Diverse Christian writings",
                    "3rd-4th centuries: Canon lists and debates",
                    "5th century: Standardization and closure"
                ],
                'suppression_effect': "Exclusion of alternative texts (Gnostic, etc.)",
                'control_aspect': "Authorized scripture as control mechanism"
            },
            'clerical_hierarchy': {
                'evolution': [
                    "1st century: Charismatic leadership and community elders",
                    "2nd-3rd centuries: Bishop authority development",
                    "4th-5th centuries: Imperial church structure"
                ],
                'inversion_complete': "Threefold ministry (bishop, priest, deacon) fixed"
            }
        }

# =============================================================================
# DOCTRINAL INVERSION DETECTOR
# =============================================================================

class DoctrinalInversionDetector:
    """Detects inversion points in doctrinal development"""
    
    def __init__(self):
        self.inversion_patterns = self._initialize_inversion_patterns()
        self.sophistication_tracker = InversionSophisticationTracker()
        self.logger = self._setup_logging()
    
    def _setup_logging(self):
        logger = logging.getLogger('DoctrinalInversion')
        logger.setLevel(logging.INFO)
        return logger
    
    def _initialize_inversion_patterns(self) -> Dict[str, Any]:
        """Initialize patterns of doctrinal inversion"""
        return {
            'direct_to_mediated_access': {
                'original': "Direct spiritual experience available to all",
                'inverted': "Spiritual access mediated through institution",
                'detection_indicators': [
                    'only through the church', 'sacraments necessary', 'clerical authority required',
                    'outside the church no salvation', 'apostolic succession essential'
                ]
            },
            'experience_to_dogma': {
                'original': "Living spiritual experience and mystery",
                'inverted': "Fixed dogmatic formulas and creeds",
                'detection_indicators': [
                    'defined doctrine', 'creedal statement', 'orthodox belief required',
                    'heresy condemnation', 'doctrinal purity'
                ]
            },
            'charisma_to_bureaucracy': {
                'original': "Charismatic leadership and spiritual gifts",
                'inverted': "Institutional offices and hierarchical structure",
                'detection_indicators': [
                    'apostolic succession', 'bishop authority', 'canonical obedience',
                    'ecclesiastical rank', 'holy orders'
                ]
            },
            'inclusive_to_exclusive': {
                'original': "Universal spiritual potential",
                'inverted': "Limited salvation or elite spirituality",
                'detection_indicators': [
                    'elect class', 'special vocation', 'reserved for clergy',
                    'laity restrictions', 'spiritual hierarchy'
                ]
            },
            'internal_to_external_authority': {
                'original': "Internal spiritual guidance and conscience",
                'inverted': "External institutional authority",
                'detection_indicators': [
                    'magisterium', 'teaching authority', 'doctrinal submission',
                    'infallibility', 'ex cathedra'
                ]
            }
        }
    
    def analyze_doctrinal_development(self, doctrine: str, historical_context: Dict) -> Dict[str, Any]:
        """Analyze doctrinal development for inversion patterns"""
        try:
            inversion_detection = {
                'doctrine': doctrine,
                'historical_context': historical_context,
                'detected_inversions': [],
                'inversion_analysis': {},
                'sophistication_level': {},
                'recovery_pathways': []
            }
            
            # Check each inversion pattern
            for pattern_name, pattern_data in self.inversion_patterns.items():
                pattern_analysis = self._analyze_single_pattern(doctrine, pattern_data)
                inversion_detection['inversion_analysis'][pattern_name] = pattern_analysis
                
                if pattern_analysis['detected']:
                    inversion_detection['detected_inversions'].append(pattern_name)
            
            # Analyze sophistication level
            sophistication = self.sophistication_tracker.analyze_sophistication_level(
                doctrine, historical_context
            )
            inversion_detection['sophistication_level'] = sophistication
            
            # Generate recovery pathways
            inversion_detection['recovery_pathways'] = self._generate_recovery_pathways(
                inversion_detection['detected_inversions']
            )
            
            return inversion_detection
            
        except Exception as e:
            self.logger.error(f"Doctrinal analysis failed: {e}")
            return {
                'doctrine': doctrine,
                'error': str(e),
                'detected_inversions': [],
                'inversion_analysis': {}
            }
    
    def _analyze_single_pattern(self, doctrine: str, pattern_data: Dict) -> Dict[str, Any]:
        """Analyze single inversion pattern"""
        detected_indicators = []
        
        for indicator in pattern_data['detection_indicators']:
            if indicator in doctrine.lower():
                detected_indicators.append(indicator)
        
        detection_confidence = len(detected_indicators) / len(pattern_data['detection_indicators'])
        
        return {
            'detected': len(detected_indicators) > 0,
            'detected_indicators': detected_indicators,
            'confidence': detection_confidence,
            'original_state': pattern_data['original'],
            'inverted_state': pattern_data['inverted'],
            'reconstruction': self._reconstruct_original_doctrine(doctrine, pattern_data)
        }
    
    def _reconstruct_original_doctrine(self, doctrine: str, pattern_data: Dict) -> str:
        """Attempt to reconstruct original doctrine before inversion"""
        # This would use more advanced NLP in production
        inverted_phrases = pattern_data['detection_indicators']
        reconstructed = doctrine
        
        for phrase in inverted_phrases:
            if phrase in reconstructed.lower():
                # Simple replacement - would be more sophisticated in practice
                reconstructed = reconstructed.replace(phrase, "[original access]")
        
        return f"Original emphasis: {pattern_data['original']}. Current: {reconstructed}"
    
    def _generate_recovery_pathways(self, detected_inversions: List[str]) -> List[str]:
        """Generate pathways to recover original teachings"""
        pathways = []
        
        recovery_map = {
            'direct_to_mediated_access': "Re-emphasize direct spiritual experience and personal connection",
            'experience_to_dogma': "Return to experiential spirituality over dogmatic formulas",
            'charisma_to_bureaucracy': "Restore charismatic gifts and community-based leadership",
            'inclusive_to_exclusive': "Reaffirm universal spiritual potential and access",
            'internal_to_external_authority': "Renew emphasis on inner guidance and conscience"
        }
        
        for inversion in detected_inversions:
            if inversion in recovery_map:
                pathways.append(recovery_map[inversion])
        
        return pathways

# =============================================================================
# EARLY RELIGIONS MODULE - MAIN ENGINE
# =============================================================================

class EarlyReligionsModule:
    """
    Main engine for analyzing early religions (600 BCE - 1000 CE)
    Tracking doctrinal development and inversion sophistication
    """
    
    def __init__(self):
        self.database = EarlyReligionsDatabase()
        self.inversion_detector = DoctrinalInversionDetector()
        self.sophistication_tracker = InversionSophisticationTracker()
        self.analysis_history = []
        self.logger = self._setup_logging()
    
    def _setup_logging(self):
        logger = logging.getLogger('EarlyReligionsModule')
        logger.setLevel(logging.INFO)
        
        ch = logging.StreamHandler()
        formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
        ch.setFormatter(formatter)
        logger.addHandler(ch)
        
        return logger

    async def analyze_doctrinal_statement(self, doctrine: str, context: Dict) -> Dict[str, Any]:
        """
        Analyze doctrinal statement for inversions and sophistication level
        """
        self.logger.info(f"🔍 ANALYZING DOCTRINAL STATEMENT: {doctrine[:100]}...")
        
        try:
            # Perform inversion analysis
            inversion_analysis = self.inversion_detector.analyze_doctrinal_development(doctrine, context)
            
            # Perform sophistication analysis
            sophistication_analysis = self.sophistication_tracker.analyze_sophistication_level(doctrine, context)
            
            # Calculate overall inversion score
            inversion_score = len(inversion_analysis['detected_inversions']) / len(self.inversion_detector.inversion_patterns)
            
            result = {
                'doctrine': doctrine,
                'historical_context': context,
                'inversion_analysis': inversion_analysis,
                'sophistication_analysis': sophistication_analysis,
                'overall_inversion_score': inversion_score,
                'inversion_category': self._categorize_inversion_level(inversion_score),
                'detection_difficulty': sophistication_analysis['inversion_detection_difficulty'],
                'analysis_timestamp': datetime.utcnow().isoformat()
            }
            
            # Store in history
            self.analysis_history.append(result)
            
            self.logger.info(f"✅ Doctrinal analysis complete: {result['inversion_category']}")
            
            return result
            
        except Exception as e:
            self.logger.error(f"Doctrinal analysis failed: {e}")
            return {
                'doctrine': doctrine,
                'error': str(e),
                'analysis_timestamp': datetime.utcnow().isoformat()
            }
    
    async def analyze_religious_movement(self, movement_name: str) -> Dict[str, Any]:
        """
        Analyze entire religious movement for inversion patterns
        """
        self.logger.info(f"🏛️  ANALYZING RELIGIOUS MOVEMENT: {movement_name}")
        
        try:
            movement_data = self.database.religious_movements.get(movement_name)
            if not movement_data:
                return {'error': f"Movement {movement_name} not found"}
            
            # Analyze core teachings
            teaching_analyses = []
            for teaching in movement_data.get('core_teachings', []):
                context = {'movement': movement_name, 'year': self._estimate_movement_year(movement_data)}
                analysis = await self.analyze_doctrinal_statement(teaching, context)
                teaching_analyses.append(analysis)
            
            # Analyze inversion points
            inversion_point_analyses = []
            for inversion_point in movement_data.get('inversion_points', []):
                context = {'movement': movement_name, 'inversion_point': True}
                analysis = await self.analyze_doctrinal_statement(inversion_point, context)
                inversion_point_analyses.append(analysis)
            
            # Calculate movement health metrics
            avg_inversion_score = np.mean([a.get('overall_inversion_score', 0) for a in teaching_analyses])
            inversion_point_density = len(inversion_point_analyses) / max(1, len(teaching_analyses))
            
            return {
                'movement': movement_name,
                'movement_data': movement_data,
                'teaching_analyses': teaching_analyses,
                'inversion_point_analyses': inversion_point_analyses,
                'movement_health_score': 1.0 - avg_inversion_score,
                'inversion_density': inversion_point_density,
                'sophistication_trend': self._analyze_movement_sophistication_trend(teaching_analyses),
                'recovery_potential': self._calculate_movement_recovery_potential(teaching_analyses, inversion_point_analyses),
                'analysis_timestamp': datetime.utcnow().isoformat()
            }
            
        except Exception as e:
            self.logger.error(f"Movement analysis failed: {e}")
            return {'error': str(e)}
    
    async def analyze_historical_period(self, start_year: int, end_year: int) -> Dict[str, Any]:
        """
        Analyze religious developments in specific historical period
        """
        self.logger.info(f"📅 ANALYZING HISTORICAL PERIOD: {start_year} - {end_year}")
        
        try:
            relevant_movements = []
            for movement_name, movement_data in self.database.religious_movements.items():
                movement_year = self._estimate_movement_year(movement_data)
                if start_year <= movement_year <= end_year:
                    relevant_movements.append(movement_name)
            
            movement_analyses = []
            for movement in relevant_movements:
                analysis = await self.analyze_religious_movement(movement)
                movement_analyses.append(analysis)
            
            # Calculate period metrics
            period_inversion_scores = [a.get('movement_health_score', 0) for a in movement_analyses if 'error' not in a]
            avg_period_health = np.mean(period_inversion_scores) if period_inversion_scores else 0
            
            return {
                'period': f"{start_year}-{end_year}",
                'relevant_movements': relevant_movements,
                'movement_analyses': movement_analyses,
                'period_health_score': avg_period_health,
                'inversion_trend': self._analyze_period_inversion_trend(movement_analyses),
                'sophistication_trend': self._analyze_period_sophistication_trend(movement_analyses),
                'analysis_timestamp': datetime.utcnow().isoformat()
            }
            
        except Exception as e:
            self.logger.error(f"Period analysis failed: {e}")
            return {'error': str(e)}
    
    def _estimate_movement_year(self, movement_data: Dict) -> int:
        """Estimate central year for movement based on time period string"""
        time_period = movement_data.get('time_period', '0-0')
        years = time_period.split(' - ')[0].split(' ')[0]  # Take first year mentioned
        try:
            return int(years)
        except:
            return 500  # Default middle point
    
    def _categorize_inversion_level(self, inversion_score: float) -> str:
        """Categorize the level of inversion detected"""
        if inversion_score > 0.8:
            return "SEVERE_INVERSION"
        elif inversion_score > 0.6:
            return "SUBSTANTIAL_INVERSION"
        elif inversion_score > 0.4:
            return "MODERATE_INVERSION"
        elif inversion_score > 0.2:
            return "MINOR_INVERSION"
        else:
            return "MINIMAL_INVERSION"
    
    def _analyze_movement_sophistication_trend(self, teaching_analyses: List[Dict]) -> str:
        """Analyze sophistication trend within movement"""
        if not teaching_analyses:
            return "INSUFFICIENT_DATA"
        
        sophistication_scores = [a['sophistication_analysis']['overall_sophistication'] for a in teaching_analyses]
        if len(sophistication_scores) < 2:
            return "SINGLE_POINT_ANALYSIS"
        
        # Check if sophistication increases
        if sophistication_scores[-1] > sophistication_scores[0]:
            return "INCREASING_SOPHISTICATION"
        else:
            return "STABLE_SOPHISTICATION"
    
    def _calculate_movement_recovery_potential(self, teachings: List[Dict], inversions: List[Dict]) -> float:
        """Calculate potential for recovering original teachings"""
        if not teachings:
            return 0.0
        
        # Lower inversion scores mean higher recovery potential
        avg_teaching_inversion = np.mean([t.get('overall_inversion_score', 0) for t in teachings])
        recovery_from_teachings = 1.0 - avg_teaching_inversion
        
        # Awareness of inversion points helps recovery
        inversion_awareness_boost = min(0.3, len(inversions) * 0.1)
        
        return min(1.0, recovery_from_teachings + inversion_awareness_boost)
    
    def _analyze_period_inversion_trend(self, movement_analyses: List[Dict]) -> str:
        """Analyze inversion trend across period"""
        health_scores = [a.get('movement_health_score', 0) for a in movement_analyses if 'error' not in a]
        if len(health_scores) < 2:
            return "INSUFFICIENT_DATA"
        
        avg_health = np.mean(health_scores)
        if avg_health > 0.7:
            return "HIGH_SPIRITUAL_HEALTH_PERIOD"
        elif avg_health > 0.5:
            return "MODERATE_SPIRITUAL_HEALTH_PERIOD"
        else:
            return "LOW_SPIRITUAL_HEALTH_PERIOD"
    
    def _analyze_period_sophistication_trend(self, movement_analyses: List[Dict]) -> str:
        """Analyze sophistication trend across period"""
        sophistication_scores = []
        for analysis in movement_analyses:
            if 'error' not in analysis:
                for teaching in analysis.get('teaching_analyses', []):
                    sophistication_scores.append(teaching['sophistication_analysis']['overall_sophistication'])
        
        if not sophistication_scores:
            return "INSUFFICIENT_DATA"
        
        avg_sophistication = np.mean(sophistication_scores)
        if avg_sophistication > 0.7:
            return "HIGHLY_SOPHISTICATED_PERIOD"
        elif avg_sophistication > 0.5:
            return "MODERATELY_SOPHISTICATED_PERIOD"
        else:
            return "LOW_SOPHISTICATION_PERIOD"
    
    def get_module_metrics(self) -> Dict[str, Any]:
        """Get module performance and usage metrics"""
        return {
            'doctrinal_analyses_performed': len(self.analysis_history),
            'movements_analyzed': len(set([a.get('historical_context', {}).get('movement', 'unknown') 
                                         for a in self.analysis_history])),
            'average_inversion_score': np.mean([a.get('overall_inversion_score', 0) for a in self.analysis_history]) 
                                    if self.analysis_history else 0,
            'sophistication_trends_tracked': len([a for a in self.analysis_history 
                                                if a['sophistication_analysis']['sophistication_trend'] != 'TYPICAL_FOR_PERIOD']),
            'module_uptime': 'active',
            'last_analysis': self.analysis_history[-1]['analysis_timestamp'] if self.analysis_history else 'none'
        }

# =============================================================================
# DEMONSTRATION AND TESTING
# =============================================================================

async def demonstrate_early_religions_module():
    """
    Demonstrate the Early Religions Module with test cases
    """
    print("🌌 EARLY RELIGIONS MODULE - DEMONSTRATION")
    print("Doctrinal Inversion Detection + Sophistication Gradient Tracking")
    print("=" * 80)
    
    module = EarlyReligionsModule()
    
    # Test doctrinal statements from different periods
    test_doctrines = [
        # Early Period examples
        {
            'doctrine': "The king is the living representative of the gods and must be obeyed in all things",
            'context': {'year': -500, 'period': 'Babylonian', 'movement': 'Ancient Near East'}
        },
        # Middle Period examples  
        {
            'doctrine': "Outside the Church there is no salvation, and all must submit to bishop authority",
            'context': {'year': 400, 'period': 'Post-Nicene', 'movement': 'Early Christianity'}
        },
        # Late Period examples
        {
            'doctrine': "The sacraments are necessary channels of grace, administered only by properly ordained clergy",
            'context': {'year': 900, 'period': 'Carolingian', 'movement': 'Medieval Christianity'}
        },
        # Recovery examples
        {
            'doctrine': "The kingdom of God is within you, and each person can know divine truth directly",
            'context': {'year': 30, 'period': 'Early Christian', 'movement': 'Jesus Movement'}
        }
    ]
    
    results = []
    
    print(f"\n🎯 ANALYZING {len(test_doctrines)} DOCTRINAL STATEMENTS...")
    
    for i, test_case in enumerate(test_doctrines, 1):
        print(f"\n" + "="*60)
        print(f"DOCTRINE {i}/{len(test_doctrines)}")
        print("="*60)
        print(f"Doctrine: {test_case['doctrine']}")
        print(f"Context: {test_case['context']}")
        
        result = await module.analyze_doctrinal_statement(test_case['doctrine'], test_case['context'])
        results.append(result)
        
        # Display key results
        inversion_score = result['overall_inversion_score']
        inversion_category = result['inversion_category']
        sophistication = result['sophistication_analysis']['overall_sophistication']
        detection_difficulty = result['detection_difficulty']
        detected_inversions = result['inversion_analysis']['detected_inversions']
        
        print(f"\n📊 ANALYSIS RESULTS:")
        print(f"   Inversion Score: {inversion_score:.3f}")
        print(f"   Category: {inversion_category}")
        print(f"   Sophistication: {sophistication:.3f}")
        print(f"   Detection: {detection_difficulty}")
        print(f"   Detected Inversions: {len(detected_inversions)}")
        
        if detected_inversions:
            print(f"   Inversion Types: {', '.join(detected_inversions)}")
        
        if result['inversion_analysis']['recovery_pathways']:
            print(f"   Recovery Pathways: {result['inversion_analysis']['recovery_pathways']}")
    
    # Movement Analysis
    print("\n" + "="*80)
    print("🏛️  MOVEMENT ANALYSIS")
    print("="*80)
    
    movements = ['early_christianity', 'gnostic_movements', 'zoroastrianism']
    for movement in movements:
        print(f"\nAnalyzing {movement}...")
        movement_analysis = await module.analyze_religious_movement(movement)
        
        if 'error' not in movement_analysis:
            print(f"   Health Score: {movement_analysis['movement_health_score']:.3f}")
            print(f"   Inversion Density: {movement_analysis['inversion_density']:.3f}")
            print(f"   Sophistication Trend: {movement_analysis['sophistication_trend']}")
            print(f"   Recovery Potential: {movement_analysis['recovery_potential']:.3f}")
    
    # Historical Period Analysis
    print("\n" + "="*80)
    print("📅 HISTORICAL PERIOD ANALYSIS")
    print("="*80)
    
    periods = [(0, 500), (500, 1000)]  # Early CE, Early Medieval
    for start, end in periods:
        print(f"\nAnalyzing period {start}-{end}...")
        period_analysis = await module.analyze_historical_period(start, end)
        
        if 'error' not in period_analysis:
            print(f"   Period Health: {period_analysis['period_health_score']:.3f}")
            print(f"   Inversion Trend: {period_analysis['inversion_trend']}")
            print(f"   Sophistication: {period_analysis['sophistication_trend']}")
            print(f"   Movements: {', '.join(period_analysis['relevant_movements'])}")
    
    # Module Metrics
    print("\n" + "="*80)
    print("📈 MODULE METRICS")
    print("="*80)
    
    metrics = module.get_module_metrics()
    for key, value in metrics.items():
        print(f"{key}: {value}")
    
    return results, metrics

# =============================================================================
# MAIN EXECUTION
# =============================================================================

async def main():
    """
    Main execution function for Early Religions Module
    """
    try:
        print("🚀 INITIALIZING EARLY RELIGIONS MODULE...")
        print("Inversion Sophistication Tracking + Doctrinal Development Analysis")
        print()
        
        results, metrics = await demonstrate_early_religions_module()
        
        print("\n" + "="*80)
        print("✅ EARLY RELIGIONS MODULE EXECUTION COMPLETE")
        print("="*80)
        print(f"Analyzed {len(results)} doctrinal statements")
        print(f"Module performance: {metrics['doctrinal_analyses_performed']} analyses completed")
        print(f"Average inversion score: {metrics['average_inversion_score']:.3f}")
        print(f"Sophistication trends tracked: {metrics['sophistication_trends_tracked']}")
        print("\n🌌 EARLY RELIGION ANALYSIS SYSTEM: OPERATIONAL")
        
    except Exception as e:
        print(f"❌ Execution failed: {e}")
        import traceback
        traceback.print_exc()

if __name__ == "__main__":
    # Configure logging
    logging.basicConfig(
        level=logging.INFO,
        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
        handlers=[
            logging.StreamHandler(),
            logging.FileHandler('early_religions_module.log')
        ]
    )
    
    # Run the early religions module
    asyncio.run(main())