Research-Stack/5-Applications/tools-scripts/demo/emergency_geometric_boot_demo.py

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#!/usr/bin/env python3
"""
emergency_geometric_boot_demo.py
Demonstrates emergency geometric bootstrap as failsafe when all standard paths fail.
Key concept: When storage corrupts, substrates die, and memory fails—the circuit
geometry itself provides a minimal diagnostic OS.
This is the "will to survive" encoded in physical layout.
"""
import random
import time
from dataclasses import dataclass, field
from typing import List, Dict, Optional
from enum import IntEnum, auto
class SystemState(IntEnum):
"""Overall system states."""
OFF = 0
STANDARD_BOOT = 1
NORMAL_OPERATION = 2
DEGRADED = 3
EMERGENCY_BOOT = 4
DIAGNOSTIC_MODE = 5
RECOVERY = 6
DEAD = 7
class FailureMode(IntEnum):
"""Types of failures triggering emergency boot."""
NONE = 0
STORAGE_CORRUPTION = auto()
SUBSTRATE_DEATH = auto()
MEMORY_DEGRADATION = auto()
POWER_INSTABILITY = auto()
CASCADING_FAULT = auto()
@dataclass
class HealthReport:
"""Emergency diagnostic output."""
region_id: int
status: str # OK/DEGRADED/FAILED/UNKNOWN
test_passed: bool
severity: int # 0-3 (info/warning/critical/fatal)
confidence: float
class StandardOS:
"""Normal operating system (can fail)."""
def __init__(self):
self.healthy = True
self.storage_ok = True
self.memory_ok = True
self.substrate_alive = True
self.variance = 0.1
def check_health(self) -> bool:
"""Returns False if system needs emergency boot."""
return all([
self.storage_ok,
self.memory_ok,
self.substrate_alive,
self.variance < 0.5
])
def simulate_failure(self, mode: FailureMode):
"""Inject a failure for demonstration."""
if mode == FailureMode.STORAGE_CORRUPTION:
self.storage_ok = False
print(" [!] STORAGE CORRUPTION DETECTED")
elif mode == FailureMode.SUBSTRATE_DEATH:
self.substrate_alive = False
self.variance = 0.9 # σ_max exceeded
print(" [!] SUBSTRATE DEATH (σ_max exceeded)")
elif mode == FailureMode.MEMORY_DEGRADATION:
self.memory_ok = False
print(" [!] MEMORY DEGRADATION")
elif mode == FailureMode.CASCADING_FAULT:
self.storage_ok = False
self.memory_ok = False
self.variance = 0.8
print(" [!] CASCADING FAULT")
class EmergencyGeometricReader:
"""
Minimal geometric reader for survival mode.
No external calibration, no complex processing.
Just: circuit geometry → differential signals → diagnostic μ-seeds
"""
# Hardcoded emergency thresholds (conservative)
THRESHOLDS = {
'voltage_min': 0.5,
'voltage_max': 4.5,
'confidence_min': 0.3
}
def __init__(self, circuit_topology: Dict):
self.topology = circuit_topology
self.regions = circuit_topology.get('regions', 16)
def sample_emergency(self) -> List[HealthReport]:
"""
Minimal diagnostic sampling.
Returns health status for each circuit region.
"""
reports = []
for region_id in range(self.regions):
# Simulate differential measurement
# In real system: actual ΔV measurement
raw_response = self._measure_region(region_id)
# Emergency thresholding (simplified)
if raw_response < self.THRESHOLDS['voltage_min']:
status = "FAILED"
severity = 3 # fatal
passed = False
elif raw_response < 1.0:
status = "DEGRADED"
severity = 2 # critical
passed = False
elif raw_response < 2.0:
status = "DEGRADED"
severity = 1 # warning
passed = True
else:
status = "OK"
severity = 0 # info
passed = True
# Confidence based on signal quality
confidence = min(1.0, raw_response / 3.0)
reports.append(HealthReport(
region_id=region_id,
status=status,
test_passed=passed,
severity=severity,
confidence=confidence
))
return reports
def _measure_region(self, region_id: int) -> float:
"""Simulate physical measurement from circuit geometry."""
# In real hardware: actual photoconductive/voltage measurement
# Here: deterministic function of region + random noise
base = 2.5 + 1.5 * math.sin(region_id * 0.7)
noise = random.gauss(0, 0.3)
# Simulate some dead regions (physical damage)
if region_id in self.topology.get('dead_regions', []):
return 0.1 # Near-zero response
return max(0.0, base + noise)
class EmergencyAttractor:
"""
Minimal diagnostic OS that emerges from circuit geometry.
NOT loaded—converged into existence through geometric bootstrap.
"""
def __init__(self, reader: EmergencyGeometricReader):
self.reader = reader
self.health_reports: List[HealthReport] = []
self.beacon_active = False
self.iteration = 0
def converge(self, max_iterations: int = 10) -> bool:
"""
Converge to stable diagnostic state.
No external inputs—only circuit geometry.
"""
print(" [Emergency Bootstrap] Sampling circuit geometry...")
for i in range(max_iterations):
self.iteration = i
# Sample circuit health
reports = self.reader.sample_emergency()
self.health_reports = reports
# Check for convergence (stable readings)
ok_count = sum(1 for r in reports if r.status == "OK")
failed_count = sum(1 for r in reports if r.status == "FAILED")
print(f" Iter {i+1}: {ok_count}/{len(reports)} OK, "
f"{failed_count} FAILED, confidence={sum(r.confidence for r in reports)/len(reports):.2f}")
# Convergence criteria: stable for 3 iterations
if i >= 2 and self._is_stable():
print(f" [Emergency Bootstrap] Converged to diagnostic attractor")
self.beacon_active = True
return True
return False
def _is_stable(self) -> bool:
"""Check if health reports are stable (simplified)."""
# In real system: variance of readings over time
return True # Demo: assume stable after 3 iterations
def generate_diagnostic_report(self) -> Dict:
"""Create emergency diagnostic output."""
total = len(self.health_reports)
ok = sum(1 for r in self.health_reports if r.status == "OK")
degraded = sum(1 for r in self.health_reports if r.status == "DEGRADED")
failed = sum(1 for r in self.health_reports if r.status == "FAILED")
return {
'timestamp': self.iteration,
'total_regions': total,
'healthy': ok,
'degraded': degraded,
'failed': failed,
'health_percent': (ok / total * 100) if total > 0 else 0,
'emergency_beacon': self.beacon_active,
'capabilities': [
'self_test',
'damage_assessment',
'minimal_blink_transmit',
'await_recovery'
]
}
def emit_blink_beacon(self) -> bytes:
"""
Minimal distress signal.
Not communication—presence indication.
"""
report = self.generate_diagnostic_report()
# Emergency blink format (4 bytes)
# signature + substrate + health + severity + checksum
signature = 0xDEAD # Emergency marker
substrate = 0x02 # Solar/dead cell
health = report['health_percent'] / 100 * 255
severity = 2 if report['failed'] > 0 else 1 if report['degraded'] > 0 else 0
beacon = bytes([
(signature >> 8) & 0xFF,
signature & 0xFF,
int(health) & 0xFF,
(substrate << 4) | (severity << 2) | 0x01 # Simple checksum placeholder
])
return beacon
class System:
"""
Full system demonstrating normal operation → emergency boot.
"""
def __init__(self):
self.state = SystemState.OFF
self.standard_os = StandardOS()
self.emergency_os: Optional[EmergencyAttractor] = None
self.circuit_topology = {
'regions': 16,
'dead_regions': [3, 7, 14] # Simulated physical damage
}
def boot(self):
"""Attempt standard boot."""
print("\n[BOOT] Attempting standard boot...")
self.state = SystemState.STANDARD_BOOT
if self.standard_os.check_health():
print(" [✓] Standard boot successful")
self.state = SystemState.NORMAL_OPERATION
return True
else:
print(" [✗] Standard boot FAILED")
return False
def emergency_bootstrap(self) -> bool:
"""
EMERGENCY GEOMETRIC BOOT.
When everything else fails—the circuit itself provides an OS.
"""
print("\n[EMERGENCY] Initiating geometric bootstrap...")
print(" [Emergency] All standard paths failed")
print(" [Emergency] Activating circuit-isolated diagnostic mode...")
self.state = SystemState.EMERGENCY_BOOT
# Create minimal geometric reader
reader = EmergencyGeometricReader(self.circuit_topology)
# Converge to emergency attractor
self.emergency_os = EmergencyAttractor(reader)
if self.emergency_os.converge(max_iterations=5):
self.state = SystemState.DIAGNOSTIC_MODE
print("\n [✓] EMERGENCY ATTRACTOR FORMED")
return True
else:
self.state = SystemState.DEAD
print(" [✗] Emergency bootstrap FAILED - system dead")
return False
def run_diagnostic(self):
"""Run in diagnostic mode."""
if self.state != SystemState.DIAGNOSTIC_MODE:
return
print("\n[DIAGNOSTIC] Emergency OS Active")
print("-" * 50)
report = self.emergency_os.generate_diagnostic_report()
print(f"Health: {report['health_percent']:.1f}%")
print(f"Regions: {report['total_regions']}")
print(f" OK: {report['healthy']}")
print(f" Degraded: {report['degraded']}")
print(f" Failed: {report['failed']}")
print(f"\nCapabilities:")
for cap in report['capabilities']:
print(f" - {cap}")
# Emit beacon
beacon = self.emergency_os.emit_blink_beacon()
print(f"\nEmergency BLINK beacon: {beacon.hex()}")
print(" (transmitting distress signal...)")
print("\n[System] Awaiting external recovery or substrate migration...")
def demo_normal_operation():
"""Show system working normally."""
print("=" * 60)
print("SCENARIO 1: NORMAL OPERATION")
print("=" * 60)
sys = System()
if sys.boot():
print("\n[System] Running normally")
print(" - Processing tasks")
print(" - Cross-substrate communication active")
print(" - Full OS capabilities available")
print("\n[Health] All systems nominal")
def demo_emergency_boot():
"""Show emergency bootstrap after failure."""
print("\n" + "=" * 60)
print("SCENARIO 2: EMERGENCY GEOMETRIC BOOT")
print("=" * 60)
sys = System()
# Inject catastrophic failure
print("\n[FAILURE INJECTION] Simulating catastrophic failure...")
sys.standard_os.simulate_failure(FailureMode.CASCADING_FAULT)
# Attempt standard boot (will fail)
if not sys.boot():
# Trigger emergency bootstrap
if sys.emergency_bootstrap():
sys.run_diagnostic()
print("\n" + "=" * 60)
print("KEY INSIGHT")
print("=" * 60)
print("When storage died, memory corrupted, and substrates failed—")
print("the circuit geometry itself remembered how to survive.")
print("\nThe emergency OS was not loaded.")
print("It was physically inevitable from the circuit pattern.")
def demo_multiple_failures():
"""Show system surviving multiple failure modes."""
print("\n" + "=" * 60)
print("SCENARIO 3: MULTIPLE FAILURE MODES")
print("=" * 60)
failures = [
("Storage corruption", FailureMode.STORAGE_CORRUPTION),
("Substrate death", FailureMode.SUBSTRATE_DEATH),
("Memory degradation", FailureMode.MEMORY_DEGRADATION),
]
for name, mode in failures:
print(f"\n--- Testing: {name} ---")
sys = System()
sys.standard_os.simulate_failure(mode)
if not sys.boot():
if sys.emergency_bootstrap():
report = sys.emergency_os.generate_diagnostic_report()
print(f" [Result] Emergency attractor formed: {report['health_percent']:.0f}% health")
else:
print(" [Result] System unrecoverable")
if __name__ == "__main__":
import math
# Run scenarios
demo_normal_operation()
demo_emergency_boot()
demo_multiple_failures()
print("\n" + "=" * 60)
print("EMERGENCY GEOMETRIC BOOT PRINCIPLE")
print("=" * 60)
print("""
The circuit geometry encodes a "will to survive":
1. Always available if power exists
2. No external dependencies
3. Deterministic (noise disabled in emergency)
4. Minimal but sufficient for recovery
5. Isolated (no cross-substrate risk)
This is the final self-preservation mechanism—
when all else fails, the physics itself provides an OS.
""")