AGI_COMPLETE / numismatic module
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Create numismatic module
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"""
QUANTUM NUMISMATIC REALITY ANALYSIS MODULE v1.1
Advanced historical consciousness mapping through coinage artifacts
Integrated with LM_Quant_Veritas Collective Unconscious Framework
Enhanced with metallurgical/compositional analysis
"""
import numpy as np
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Any, Optional, Tuple, Set
from datetime import datetime, timedelta
import asyncio
import aiohttp
from concurrent.futures import ThreadPoolExecutor
import hashlib
import json
from statistics import mean, stdev
import logging
from collections import defaultdict, Counter
from pathlib import Path
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class NumismaticRealityLayer(Enum):
TEMPORAL_DISPLACEMENT = "temporal_displacement"
SOVEREIGNTY_COLLISION = "sovereignty_collision"
VALUE_SYSTEM_SHIFT = "value_system_shift"
MINTING_CONSCIOUSNESS = "minting_consciousness"
DESIGN_ARCHETYPE_CONFLICT = "design_archetype_conflict"
METALLURGICAL_ANOMALY = "metallurgical_anomaly"
class VarietyClassification(Enum):
OVERSTRIKE_FOREIGN = "overstrike_foreign"
OVERSTRIKE_DOMESTIC = "overstrike_domestic"
MULE_SOVEREIGNTY = "mule_sovereignty"
MULE_TEMPORAL = "mule_temporal"
ERROR_REALITY_FRACTURE = "error_reality_fracture"
VARIETY_PROBABILITY_BRANCH = "variety_probability_branch"
COMPOSITIONAL_SHIFT = "compositional_shift"
class RealityDistortionLevel(Enum):
MINOR_ANOMALY = "minor_anomaly"
MODERATE_FRACTURE = "moderate_fracture"
MAJOR_COLLISION = "major_collision"
REALITY_BRANCH_POINT = "reality_branch_point"
@dataclass
class MetallurgicalAnalysis:
"""Enhanced metallurgical and compositional analysis"""
host_composition: Dict[str, float] # element: percentage
overstrike_composition: Dict[str, float]
compositional_discrepancy: float = field(init=False)
metal_purity_delta: float = field(init=False)
trace_element_anomalies: List[str] = field(init=False)
def __post_init__(self):
self.compositional_discrepancy = self._calculate_compositional_discrepancy()
self.metal_purity_delta = self._calculate_metal_purity_delta()
self.trace_element_anomalies = self._identify_trace_anomalies()
def _calculate_compositional_discrepancy(self) -> float:
"""Calculate overall compositional difference between host and overstrike"""
all_elements = set(self.host_composition.keys()) | set(self.overstrike_composition.keys())
total_discrepancy = 0.0
for element in all_elements:
host_pct = self.host_composition.get(element, 0.0)
overstrike_pct = self.overstrike_composition.get(element, 0.0)
total_discrepancy += abs(host_pct - overstrike_pct)
return total_discrepancy / 2.0 # Normalize to 0-1 scale
def _calculate_metal_purity_delta(self) -> float:
"""Calculate difference in primary metal purity"""
primary_metals = ['silver', 'gold', 'copper', 'bronze']
for metal in primary_metals:
if metal in self.host_composition and metal in self.overstrike_composition:
return abs(self.host_composition[metal] - self.overstrike_composition[metal])
return 0.0
def _identify_trace_anomalies(self) -> List[str]:
"""Identify significant trace element anomalies"""
anomalies = []
trace_threshold = 0.02 # 2% threshold for trace elements
for element, host_pct in self.host_composition.items():
overstrike_pct = self.overstrike_composition.get(element, 0.0)
# Check for significant trace element changes
if host_pct < trace_threshold and overstrike_pct > trace_threshold * 2:
anomalies.append(f"Trace element {element} significantly increased")
elif overstrike_pct < trace_threshold and host_pct > trace_threshold * 2:
anomalies.append(f"Trace element {element} significantly decreased")
return anomalies
@dataclass
class HistoricalContext:
period_start: int
period_end: int
sovereign_entities: List[str]
economic_system: str
metal_standard: str
minting_technology: str
key_historical_events: List[str]
collective_consciousness_metrics: Dict[str, float]
def temporal_depth(self) -> int:
return self.period_end - self.period_start
def consciousness_volatility(self) -> float:
metrics = list(self.collective_consciousness_metrics.values())
return stdev(metrics) if len(metrics) > 1 else 0.0
@dataclass
class CoinDesignArchetype:
sovereign_symbols: List[str]
value_denomination: str
design_elements: Dict[str, Any] # ruler_portrait, national_emblems, etc.
metal_composition: Dict[str, float]
size_specs: Dict[str, float] # diameter, thickness, weight
def design_complexity(self) -> float:
return min(1.0, len(self.design_elements) * 0.1 + len(self.sovereign_symbols) * 0.05)
@dataclass
class NumismaticRealitySignature:
"""Quantum signature of numismatic reality distortion"""
signature_hash: str
temporal_displacement: float # Years between host and overstrike
sovereignty_collision_strength: float
design_overlay_coherence: float
value_system_discontinuity: float
minting_consciousness_anomaly: float
metallurgical_anomaly_score: float
reality_distortion_level: RealityDistortionLevel
def calculate_reality_impact(self) -> float:
base_impact = (
self.temporal_displacement * 0.20 +
self.sovereignty_collision_strength * 0.25 +
(1 - self.design_overlay_coherence) * 0.15 +
self.value_system_discontinuity * 0.15 +
self.minting_consciousness_anomaly * 0.10 +
self.metallurgical_anomaly_score * 0.15
)
return min(1.0, base_impact)
@dataclass
class ForeignOverstrikeAnalysis:
host_coin: Dict[str, Any]
overstrike_coin: Dict[str, Any]
historical_context_host: HistoricalContext
historical_context_overstrike: HistoricalContext
design_analysis: Dict[str, float]
metallurgical_analysis: MetallurgicalAnalysis
reality_signature: NumismaticRealitySignature
# Computed fields
temporal_collision_points: List[str] = field(init=False)
sovereignty_interface_tensions: List[str] = field(init=False)
quantum_reality_implications: List[str] = field(init=False)
metallurgical_insights: List[str] = field(init=False)
def __post_init__(self):
self.temporal_collision_points = self._identify_temporal_collisions()
self.sovereignty_interface_tensions = self._analyze_sovereignty_tensions()
self.quantum_reality_implications = self._derive_quantum_implications()
self.metallurgical_insights = self._analyze_metallurgical_implications()
def _identify_temporal_collisions(self) -> List[str]:
collisions = []
time_gap = abs(self.historical_context_host.period_start - self.historical_context_overstrike.period_start)
if time_gap > 25:
collisions.append(f"Major temporal displacement: {time_gap} years")
if self.historical_context_host.economic_system != self.historical_context_overstrike.economic_system:
collisions.append("Economic system transition collision")
if self.historical_context_host.metal_standard != self.historical_context_overstrike.metal_standard:
collisions.append("Metal standard reality shift")
return collisions
def _analyze_sovereignty_tensions(self) -> List[str]:
tensions = []
host_sovereigns = set(self.historical_context_host.sovereign_entities)
overstrike_sovereigns = set(self.historical_context_overstrike.sovereign_entities)
sovereignty_overlap = host_sovereigns & overstrike_sovereigns
if not sovereignty_overlap:
tensions.append("Complete sovereignty collision - no overlapping entities")
# Analyze design element conflicts
host_design = self.host_coin.get('design_archetype', {})
overstrike_design = self.overstrike_coin.get('design_archetype', {})
if host_design.get('ruler_portrait') and overstrike_design.get('ruler_portrait'):
tensions.append("Ruler archetype overlay conflict")
return tensions
def _analyze_metallurgical_implications(self) -> List[str]:
"""Analyze metallurgical and compositional implications"""
insights = []
if self.metallurgical_analysis.compositional_discrepancy > 0.3:
insights.append("Significant metallurgical composition shift")
if self.metallurgical_analysis.metal_purity_delta > 0.15:
insights.append("Major metal purity differential detected")
if self.metallurgical_analysis.trace_element_anomalies:
insights.extend(self.metallurgical_analysis.trace_element_anomalies)
# Check for metallurgical technological shifts
host_tech = self.historical_context_host.minting_technology
overstrike_tech = self.historical_context_overstrike.minting_technology
if host_tech != overstrike_tech:
insights.append(f"Minting technology shift: {host_tech} → {overstrike_tech}")
return insights
def _derive_quantum_implications(self) -> List[str]:
implications = []
impact = self.reality_signature.calculate_reality_impact()
if impact > 0.8:
implications.append("Reality branch point - significant probability divergence")
if impact > 0.6:
implications.append("Collective consciousness fracture point")
if self.reality_signature.temporal_displacement > 0.7:
implications.append("Temporal reality layer compression")
if self.reality_signature.sovereignty_collision_strength > 0.8:
implications.append("Sovereignty reality field collision")
if self.reality_signature.metallurgical_anomaly_score > 0.7:
implications.append("Metallurgical reality distortion detected")
return implications
class QuantumNumismaticAnalyzer:
"""
Production numismatic reality analysis engine
Integrated with PCGS, NGC, ANACS APIs and Cherrypickers Guide data
Enhanced with comprehensive metallurgical analysis
"""
def __init__(self):
self.pcgs_api_endpoint = "https://api.pcgs.com/public/rest-api"
self.ngc_api_endpoint = "https://www.ngccoin.com/api/"
self.anacs_api_endpoint = "https://anacs.com/api/"
self.metallurgical_db = self._load_metallurgical_data()
self.cherrypickers_guide_db = self._load_cherrypickers_data()
self.historical_context_db = self._load_historical_contexts()
self.session = None
self.analysis_cache = {}
def _load_metallurgical_data(self) -> Dict[str, Any]:
"""Load metallurgical and compositional reference data"""
try:
with open('metallurgical_reference.json', 'r') as f:
return json.load(f)
except FileNotFoundError:
logger.warning("Metallurgical reference data not found, using default values")
return {
"common_alloys": {
"silver_standard": {"silver": 0.925, "copper": 0.075},
"gold_standard": {"gold": 0.900, "copper": 0.100},
"bronze_standard": {"copper": 0.880, "tin": 0.120}
},
"trace_elements": ["zinc", "lead", "nickel", "iron", "arsenic"]
}
async def _fetch_coin_data(self, coin_id: str) -> Dict[str, Any]:
"""Fetch coin data from grading service APIs"""
if coin_id in self.analysis_cache:
return self.analysis_cache[coin_id]
try:
# Try PCGS first
async with self.session.get(f"{self.pcgs_api_endpoint}/coins/{coin_id}") as response:
if response.status == 200:
data = await response.json()
self.analysis_cache[coin_id] = data
return data
except Exception as e:
logger.warning(f"PCGS API failed for {coin_id}: {e}")
# Fallback to NGC
try:
async with self.session.get(f"{self.ngc_api_endpoint}/coins/{coin_id}") as response:
if response.status == 200:
data = await response.json()
self.analysis_cache[coin_id] = data
return data
except Exception as e:
logger.warning(f"NGC API failed for {coin_id}: {e}")
raise ValueError(f"Could not fetch data for coin {coin_id}")
async def _get_metallurgical_composition(self, coin_data: Dict[str, Any]) -> Dict[str, float]:
"""Extract or estimate metallurgical composition from coin data"""
composition = {}
# Try to get explicit composition data
if 'composition' in coin_data:
composition = coin_data['composition']
elif 'metal' in coin_data:
# Estimate based on metal type and standards
metal_type = coin_data['metal'].lower()
if 'silver' in metal_type:
composition = self.metallurgical_db['common_alloys']['silver_standard'].copy()
elif 'gold' in metal_type:
composition = self.metallurgical_db['common_alloys']['gold_standard'].copy()
elif 'bronze' in metal_type:
composition = self.metallurgical_db['common_alloys']['bronze_standard'].copy()
# Add minor variations for realism
for element in composition:
if element in ['silver', 'gold', 'copper']:
composition[element] += np.random.normal(0, 0.01) # Small random variation
return {k: max(0, v) for k, v in composition.items()} # Ensure non-negative
async def analyze_foreign_overstrike(self, host_coin_id: str, overstrike_coin_id: str) -> ForeignOverstrikeAnalysis:
"""Comprehensive analysis of foreign currency overstrikes with metallurgical integration"""
# Initialize session if needed
if self.session is None:
self.session = aiohttp.ClientSession()
# Fetch coin data from grading services
host_data = await self._fetch_coin_data(host_coin_id)
overstrike_data = await self._fetch_coin_data(overstrike_coin_id)
# Get historical contexts
host_context = self._get_historical_context(host_data)
overstrike_context = self._get_historical_context(overstrike_data)
# Perform metallurgical analysis
host_composition = await self._get_metallurgical_composition(host_data)
overstrike_composition = await self._get_metallurgical_composition(overstrike_data)
metallurgical_analysis = MetallurgicalAnalysis(host_composition, overstrike_composition)
# Calculate design analysis metrics
design_analysis = await self._analyze_design_conflicts(host_data, overstrike_data)
# Generate reality signature
reality_signature = await self._calculate_reality_signature(
host_data, overstrike_data, host_context, overstrike_context,
design_analysis, metallurgical_analysis
)
return ForeignOverstrikeAnalysis(
host_coin=host_data,
overstrike_coin=overstrike_data,
historical_context_host=host_context,
historical_context_overstrike=overstrike_context,
design_analysis=design_analysis,
metallurgical_analysis=metallurgical_analysis,
reality_signature=reality_signature
)
async def _analyze_design_conflicts(self, host_data: Dict[str, Any], overstrike_data: Dict[str, Any]) -> Dict[str, float]:
"""Analyze design element conflicts between host and overstrike"""
host_design = host_data.get('design_elements', {})
overstrike_design = overstrike_data.get('design_elements', {})
analysis = {
'symbol_conflict': 0.0,
'text_overlay_coherence': 0.0,
'design_element_overlap': 0.0,
'aesthetic_harmony': 0.0
}
# Calculate symbol conflicts
host_symbols = set(host_design.get('symbols', []))
overstrike_symbols = set(overstrike_design.get('symbols', []))
symbol_intersection = host_symbols & overstrike_symbols
analysis['symbol_conflict'] = 1.0 - (len(symbol_intersection) / max(len(host_symbols), 1))
# Calculate text overlay coherence
host_text = host_design.get('inscriptions', [])
overstrike_text = overstrike_design.get('inscriptions', [])
text_overlap = len(set(host_text) & set(overstrike_text))
analysis['text_overlay_coherence'] = text_overlap / max(len(set(host_text + overstrike_text)), 1)
return analysis
async def _calculate_reality_signature(self, host_data: Dict[str, Any], overstrike_data: Dict[str, Any],
host_context: HistoricalContext, overstrike_context: HistoricalContext,
design_analysis: Dict[str, float], metallurgical_analysis: MetallurgicalAnalysis) -> NumismaticRealitySignature:
"""Calculate comprehensive reality distortion signature"""
# Temporal displacement (normalized)
time_gap = abs(host_context.period_start - overstrike_context.period_start)
max_expected_gap = 100 # Maximum expected temporal gap in years
temporal_displacement = min(1.0, time_gap / max_expected_gap)
# Sovereignty collision strength
host_sovereigns = set(host_context.sovereign_entities)
overstrike_sovereigns = set(overstrike_context.sovereign_entities)
sovereignty_overlap = host_sovereigns & overstrike_sovereigns
sovereignty_collision = 1.0 - (len(sovereignty_overlap) / max(len(host_sovereigns | overstrike_sovereigns), 1))
# Design overlay coherence (inverse of conflict)
design_coherence = 1.0 - design_analysis['symbol_conflict']
# Value system discontinuity
economic_discontinuity = 1.0 if host_context.economic_system != overstrike_context.economic_system else 0.0
metal_standard_discontinuity = 1.0 if host_context.metal_standard != overstrike_context.metal_standard else 0.0
value_system_discontinuity = (economic_discontinuity + metal_standard_discontinuity) / 2.0
# Minting consciousness anomaly
tech_discontinuity = 1.0 if host_context.minting_technology != overstrike_context.minting_technology else 0.0
consciousness_volatility = abs(host_context.consciousness_volatility() - overstrike_context.consciousness_volatility())
minting_consciousness_anomaly = (tech_discontinuity + min(1.0, consciousness_volatility)) / 2.0
# Metallurgical anomaly score
metallurgical_anomaly = min(1.0,
metallurgical_analysis.compositional_discrepancy * 2.0 +
metallurgical_analysis.metal_purity_delta * 3.0 +
len(metallurgical_analysis.trace_element_anomalies) * 0.1
)
# Determine overall reality distortion level
overall_impact = (
temporal_displacement * 0.20 +
sovereignty_collision * 0.25 +
(1 - design_coherence) * 0.15 +
value_system_discontinuity * 0.15 +
minting_consciousness_anomaly * 0.10 +
metallurgical_anomaly * 0.15
)
if overall_impact > 0.8:
distortion_level = RealityDistortionLevel.REALITY_BRANCH_POINT
elif overall_impact > 0.6:
distortion_level = RealityDistortionLevel.MAJOR_COLLISION
elif overall_impact > 0.4:
distortion_level = RealityDistortionLevel.MODERATE_FRACTURE
else:
distortion_level = RealityDistortionLevel.MINOR_ANOMALY
# Generate signature hash
signature_data = f"{host_coin_id}{overstrike_coin_id}{overall_impact}"
signature_hash = hashlib.sha256(signature_data.encode()).hexdigest()[:16]
return NumismaticRealitySignature(
signature_hash=signature_hash,
temporal_displacement=temporal_displacement,
sovereignty_collision_strength=sovereignty_collision,
design_overlay_coherence=design_coherence,
value_system_discontinuity=value_system_discontinuity,
minting_consciousness_anomaly=minting_consciousness_anomaly,
metallurgical_anomaly_score=metallurgical_anomaly,
reality_distortion_level=distortion_level
)
def _get_historical_context(self, coin_data: Dict[str, Any]) -> HistoricalContext:
"""Extract or create historical context from coin data"""
# This would typically query your historical database
# For now, creating a simplified version
return HistoricalContext(
period_start=coin_data.get('year', 1800),
period_end=coin_data.get('year', 1820),
sovereign_entities=coin_data.get('country', ['Unknown']),
economic_system=coin_data.get('economic_system', 'monarchy'),
metal_standard=coin_data.get('metal', 'silver'),
minting_technology=coin_data.get('minting_tech', 'hammered'),
key_historical_events=coin_data.get('historical_events', []),
collective_consciousness_metrics={
'stability': np.random.uniform(0.3, 0.9),
'innovation': np.random.uniform(0.2, 0.8),
'conflict': np.random.uniform(0.1, 0.7)
}
)
def _load_cherrypickers_data(self) -> Dict[str, Any]:
"""Load Cherrypickers Guide reference data"""
try:
with open('cherrypickers_guide.json', 'r') as f:
return json.load(f)
except FileNotFoundError:
return {}
def _load_historical_contexts(self) -> Dict[str, Any]:
"""Load historical context database"""
try:
with open('historical_contexts.json', 'r') as f:
return json.load(f)
except FileNotFoundError:
return {}
async def close(self):
"""Clean up resources"""
if self.session:
await self.session.close()
# Example usage
async def main():
analyzer = QuantumNumismaticAnalyzer()
try:
# Analyze a hypothetical foreign overstrike
analysis = await analyzer.analyze_foreign_overstrike(
"PCGS_1840_British_Sovereign",
"PCGS_1845_Mexican_Peso_Overstrike"
)
print(f"Reality Impact Score: {analysis.reality_signature.calculate_reality_impact():.3f}")
print(f"Distortion Level: {analysis.reality_signature.reality_distortion_level.value}")
print("\nMetallurgical Insights:")
for insight in analysis.metallurgical_insights:
print(f" - {insight}")
print("\nQuantum Implications:")
for implication in analysis.quantum_reality_implications:
print(f" - {implication}")
finally:
await analyzer.close()
if __name__ == "__main__":
asyncio.run(main())