#!/usr/bin/env python3 """Validate the local GPU desktop-planning evidence for Experiment 6-12.""" from __future__ import annotations import argparse import hashlib import json import sys from pathlib import Path from typing import Any EXPECTED_TOOL_NAMES = ["observe_scene", "pick", "place", "verify_state", "stop"] def file_sha256(path: Path) -> str: digest = hashlib.sha256() with path.open("rb") as handle: for chunk in iter(lambda: handle.read(1024 * 1024), b""): digest.update(chunk) return digest.hexdigest() def validate(data: dict[str, Any], evidence_dir: Path | None = None) -> list[str]: errors: list[str] = [] def expect(condition: bool, message: str) -> None: if not condition: errors.append(message) expect(data.get("schema_version") == "3.0", "schema_version must be 3.0") expect(data.get("experiment_id") == "6-12", "experiment_id must be 6-12") expect(data.get("kind") == "desktop_manipulation_planning", "wrong evidence kind") expect(data.get("status") == "complete", "local evidence must be complete") metrics = data.get("metrics", {}) expect(metrics.get("device", {}).get("device") in {"mps", "cuda"}, "evidence must use a local GPU accelerator") protocol = metrics.get("protocol", {}) expect(len(protocol.get("seeds", [])) >= 3, "at least three planner seeds are required") expect(set(protocol.get("failure_probabilities", [])) >= {0.0, 0.25, 0.5}, "zero, moderate and high failure conditions are required") expect(protocol.get("total_episodes", 0) >= 2000, "at least 2000 planner episodes are required") models = metrics.get("models", []) expect(len(models) == len(protocol.get("seeds", [])), "one world-model report is required per seed") expect(max((item.get("test_mse", 1.0) for item in models), default=1.0) < 0.03, "world-model test MSE is too high") cells = metrics.get("cells", []) expect(len(cells) == len(protocol.get("seeds", [])) * len(protocol.get("failure_probabilities", [])) * 3, "one result cell is required per seed/failure/mode condition") high_failure = [item for item in cells if item.get("failure_probability") == 0.5] expect(high_failure and all(item.get("mode") in {"closed_loop", "predictive"} and item.get("success_rate") == 1.0 for item in high_failure if item.get("mode") != "open_loop"), "closed-loop and predictive planners must recover high-failure trials") open_loop_high = [item for item in high_failure if item.get("mode") == "open_loop"] expect(open_loop_high and max(item.get("success_rate", 1.0) for item in open_loop_high) < 1.0, "open-loop baseline must expose injected failures") expect(metrics.get("deterministic_replay") is True, "repeating a fixed planner seed must reproduce the same episode") contract = data.get("tool_contract", []) expect(contract == EXPECTED_TOOL_NAMES, "工具契约不是桌面操作实验规定的五个工具") artifacts = data.get("artifacts", []) expect(len(artifacts) == 3, "metrics, events and scene artifacts are required") if evidence_dir is not None: for index, artifact in enumerate(artifacts): path = evidence_dir / str(artifact.get("path", "")) expect(path.is_file(), f"artifact[{index}] does not exist") if path.is_file(): expect(file_sha256(path) == artifact.get("sha256"), f"artifact[{index}] hash mismatch") if artifact.get("kind") == "events": try: event_log = json.loads(path.read_text(encoding="utf-8")) except (OSError, json.JSONDecodeError) as exc: errors.append(f"event log cannot be read: {exc}") else: expect(event_log.get("tools") == EXPECTED_TOOL_NAMES, "event log tool list does not match the contract") episodes = event_log.get("episodes", []) expect(len(episodes) == protocol.get("total_episodes", 0), "one auditable event trace is required per episode") expect(all(isinstance(item.get("events"), list) for item in episodes), "every episode must contain a tool event list") extension = data.get("xlerobot_robocrew_extension", {}) expect(extension.get("actuation_attempted") is False, "local run must not claim hardware actuation") return errors def main() -> int: parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("evidence", type=Path) args = parser.parse_args() try: data = json.loads(args.evidence.read_text(encoding="utf-8")) except (OSError, json.JSONDecodeError) as exc: print(f"INVALID: {exc}", file=sys.stderr) return 2 errors = validate(data, args.evidence.resolve().parent) if errors: print("INVALID") for error in errors: print(f"- {error}") return 1 print("VALID: experiment 6-12 local GPU evidence") return 0 if __name__ == "__main__": raise SystemExit(main())