from __future__ import annotations import json import re from dataclasses import dataclass from typing import Any from .sandbox import run_python_submission @dataclass(frozen=True) class Score: passed: bool value: float maximum: float error: str | None = None def response_text(response: dict[str, Any]) -> str: return str(response.get("content") or "") def strict_json(text: str) -> Any: stripped = text.strip() if stripped.startswith("```") or not stripped: raise ValueError("Expected bare JSON without Markdown fences") decoder = json.JSONDecoder() value, end = decoder.raw_decode(stripped) if stripped[end:].strip(): raise ValueError("Unexpected text after JSON value") return value def _normalize_tool_calls(response: dict[str, Any]) -> list[dict[str, Any]]: normalized = [] for call in response.get("tool_calls") or []: function = call.get("function") or {} arguments = function.get("arguments", {}) if isinstance(arguments, str): arguments = json.loads(arguments) normalized.append({"name": function.get("name"), "arguments": arguments}) return normalized def score_response(scorer: str, expected: Any, response: dict[str, Any]) -> Score: try: if scorer == "exact_text": actual = response_text(response).strip() passed = actual == str(expected) elif scorer == "strict_json_exact": actual = strict_json(response_text(response)) passed = actual == expected elif scorer == "strict_json_subset": actual = strict_json(response_text(response)) if not isinstance(actual, dict) or not isinstance(expected, dict): passed = False else: passed = all(actual.get(key) == value for key, value in expected.items()) elif scorer == "tool_calls_exact": actual = _normalize_tool_calls(response) passed = actual == expected elif scorer == "python_code": text = response_text(response).strip() match = re.fullmatch(r"```(?:python)?\s*(.*?)\s*```", text, re.DOTALL | re.IGNORECASE) code = match.group(1) if match else text outcome = run_python_submission(code, str(expected["tests"])) passed = outcome["passed"] return Score(passed, float(passed), 1.0, outcome.get("error")) else: raise ValueError(f"Unknown scorer: {scorer}") return Score(passed, float(passed), 1.0, None if passed else "answer mismatch") except Exception as exc: return Score(False, 0.0, 1.0, f"{type(exc).__name__}: {exc}")