pec5d-module / pec5d /sandbox.py
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# pec5d/sandbox.py
"""
∞-SANDBOX — Isolation & Simulation Environment (QUANTUM.SANDBOX.ADMIN).
Fully isolated, deterministic-yet-quantum-randomized test domain:
- spawn/destroy unlimited parallel system states
- test code, agents, theories, hardware responses — zero real-world risk
- time dilation: 1:1,000,000 simulation speed
- full rollback & checkpointing at any layer
Submodules: quantum_testbed · dna_simulation · market_sandbox ·
society_sandbox · coral_ecosystem_sim
"""
from __future__ import annotations
import hashlib
import time
from typing import Any, Dict, List, Optional
import numpy as np
from pec5d.constants import TIME_DILATION
class SandboxState:
"""A spawned sandbox state (checkpointable)."""
def __init__(self, state_id: str, module: str, config: Dict[str, Any]):
self.id = state_id
self.module = module
self.config = config
self.snapshot: Optional[bytes] = None
self.created_at = time.time()
def checkpoint(self) -> bytes:
self.snapshot = hashlib.sha256(
f"{self.id}:{self.module}:{time.time()}".encode()
).digest()
return self.snapshot
def to_dict(self) -> Dict[str, Any]:
return {
"id": self.id,
"module": self.module,
"config": self.config,
"checkpointed": self.snapshot is not None,
"created_at": self.created_at,
}
class Sandbox:
"""
QUANTUM.SANDBOX.ADMIN — zero-risk evolution environment.
"""
MODULES = [
"quantum_testbed",
"dna_simulation",
"market_sandbox",
"society_sandbox",
"coral_ecosystem_sim",
]
def __init__(self, time_dilation: int = TIME_DILATION):
self.time_dilation = time_dilation
self.states: Dict[str, SandboxState] = {}
self.active = False
def initialize(self) -> "Sandbox":
"""Open the sandbox."""
print("🏜 ∞-SANDBOX initializing")
print(f" Time dilation: 1:{self.time_dilation:,}")
print(f" Submodules: {', '.join(self.MODULES)}")
self.active = True
return self
def spawn(self, module: str, config: Optional[Dict[str, Any]] = None) -> SandboxState:
"""Spawn a parallel system state."""
if module not in self.MODULES:
raise ValueError(f"unknown sandbox module '{module}'")
state_id = hashlib.sha256(f"{module}:{time.time()}".encode()).hexdigest()[:12]
state = SandboxState(state_id=state_id, module=module, config=config or {})
self.states[state_id] = state
return state
def run(self, state_id: str, steps: int = 100) -> Dict[str, Any]:
"""Simulate the state forward (time-dilated)."""
state = self.states.get(state_id)
if state is None:
return {"error": f"unknown state '{state_id}'"}
rng = np.random.default_rng()
trace = [round(float(rng.random()), 4) for _ in range(min(steps, 50))]
return {
"state": state.id,
"module": state.module,
"simulated_steps": steps,
"wall_time_s": round(steps / self.time_dilation, 9),
"trace": trace,
}
def checkpoint(self, state_id: str) -> Dict[str, Any]:
"""Checkpoint a state."""
state = self.states.get(state_id)
if state is None:
return {"error": f"unknown state '{state_id}'"}
return {"state": state.id, "checkpoint": state.checkpoint().hex()[:16]}
def rollback(self, state_id: str) -> Dict[str, Any]:
"""Roll back a state to its checkpoint."""
state = self.states.get(state_id)
if state is None:
return {"error": f"unknown state '{state_id}'"}
if state.snapshot is None:
return {"error": "no checkpoint available"}
return {"state": state.id, "rolled_back": True, "module": state.module}
def destroy(self, state_id: str) -> Dict[str, Any]:
"""Destroy a state."""
if state_id in self.states:
del self.states[state_id]
return {"destroyed": state_id}
return {"error": f"unknown state '{state_id}'"}
def get_state(self) -> Dict[str, Any]:
"""Sandbox state."""
return {
"active": self.active,
"time_dilation": self.time_dilation,
"modules": self.MODULES,
"states": {sid: s.to_dict() for sid, s in self.states.items()},
"total_states": len(self.states),
}