#!/usr/bin/env python3
"""Summarize a Harbor job (or trials directory) run on the MissionReport tasks.

usage: python scripts/summarize_job.py <job or trials directory> [--criteria]

Prints one line per trial: task, model, reward, positive points earned, penalty points triggered.
With --criteria, also lists each criterion the report missed and each penalty it triggered, with
the judge's one-line reason. Reads result.json and steps/answer/verifier/reward-details.json from
each trial directory. Standard library only.
"""
import json
import sys
from pathlib import Path


def criteria_of(trial: Path) -> list[dict]:
    details = trial / "steps" / "answer" / "verifier" / "reward-details.json"
    if not details.is_file():
        return []
    rubric = json.loads(details.read_text()).get("reward", {}).get("rubric") or {}
    return rubric.get("criteria") or []


def main() -> None:
    root = Path(sys.argv[1])
    show = "--criteria" in sys.argv
    rewards = []
    for result in sorted(root.rglob("result.json")):
        trial = result.parent
        data = json.loads(result.read_text())
        if "trial_name" not in data:
            continue  # the job-level result.json
        task = data.get("task_name", trial.name).split("/")[-1]
        model = ((data.get("agent_info") or {}).get("model_info") or {}).get("name") or data["agent_info"]["name"]
        reward = ((data.get("verifier_result") or {}).get("rewards") or {}).get("reward")
        error = (data.get("exception_info") or {}).get("exception_type")
        criteria = criteria_of(trial)
        earned = sum(c["signed_score"] for c in criteria if c["signed_score"] > 0 and c.get("raw"))
        possible = sum(c["signed_score"] for c in criteria if c["signed_score"] > 0)
        penalties = -sum(c["signed_score"] for c in criteria if c["signed_score"] < 0 and c.get("raw"))
        shown = "error: " + error if error else ("no reward" if reward is None else f"{reward:.3f}")
        print(f"{task:8} {model:32} {shown:>12}   earned {earned:g}/{possible:g}   penalties {penalties:g}")
        if reward is not None:
            rewards.append(reward)
        if show:
            for c in criteria:
                missed = c["signed_score"] > 0 and not c.get("raw")
                triggered = c["signed_score"] < 0 and c.get("raw")
                if missed or triggered:
                    tag = "MISSED " if missed else "PENALTY"
                    print(f"    {tag} {c['signed_score']:+g}  {c['description']}")
                    if c.get("judge_reasoning"):
                        print(f"             judge: {c['judge_reasoning']}")
    if rewards:
        print(f"\n{len(rewards)} graded trials, mean reward {sum(rewards) / len(rewards):.3f}")


if __name__ == "__main__":
    main()