"""Combine per-task score files into the VisSlideBench summary (Table 1 layout).

    python eval/aggregate.py --pred_dir outputs/my_model

Each metric is averaged over the cases with a valid score for that metric.
Overall is the mean of the eleven metrics (CF/IF/AQ for three generation
tasks, SC/PQ for editing) and is reported only when all four tasks exist.
"""

import argparse
import json
import os

from common import load_jsonl, mean

GEN_TASKS = ("t2i", "template", "multi_image")


def main():
    ap = argparse.ArgumentParser()
    ap.add_argument("--pred_dir", required=True)
    ap.add_argument("--by", choices=["none", "source", "prompt_type"], default="none",
                    help="Optionally split generation scores by real/synthetic source or prompt type.")
    args = ap.parse_args()
    score_dir = os.path.join(args.pred_dir, "scores")

    table, metrics = {}, []
    for task in GEN_TASKS:
        path = os.path.join(score_dir, f"{task}.jsonl")
        if not os.path.exists(path):
            continue
        rows = load_jsonl(path)
        groups = {"all": rows} if args.by == "none" else {}
        if args.by != "none":
            for r in rows:
                groups.setdefault(r.get(args.by), []).append(r)
        for g, rs in groups.items():
            entry = {m: mean(r[m] for r in rs if r.get(m) is not None) for m in ("cf", "if", "aq")}
            entry["n"] = len(rs)
            table[task if g == "all" else f"{task}/{g}"] = entry
        if args.by == "none":
            metrics += [table[task][m] for m in ("cf", "if", "aq")]

    edit_path = os.path.join(score_dir, "edit.jsonl")
    if os.path.exists(edit_path):
        ok = [r for r in load_jsonl(edit_path) if "sc" in r]
        sc, pq = mean(r["sc"] for r in ok), mean(r["pq"] for r in ok)
        table["edit"] = {"sc": sc, "pq": pq, "n": len(ok)}
        metrics += [sc, pq]

    if args.by == "none" and len(metrics) == 11 and None not in metrics:
        table["overall"] = mean(metrics)
    print(json.dumps(table, indent=1))


if __name__ == "__main__":
    main()