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4.55 kB
| # 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), | |
| } | |