| """Caricamento dei risultati della corsa principale (solo lettura dei file copiati da PC4070TI).""" |
| import json |
| from pathlib import Path |
|
|
| ROOT = Path(__file__).resolve().parents[1] |
| RUNS = ROOT / "runs" |
| PREFIX = "main-clar-" |
| MAIN_RUNS = ROOT.parent / "main-run" / "runs" |
| LENGTHS = ["64k", "128k"] |
| POLS = ["A", "D", "B", "T"] |
| DEV_QID = "38_i13_j22_a_0031" |
| DATA = ROOT.parents[1] / "alb-bench-v2" / "alb" / "data" / "benchmark" / "kf-c" |
|
|
|
|
| def qtype_short(qt): |
| return "CF" if qt.startswith("Count Frequency") else ("FD" if qt.startswith("Find Duplicates") else qt) |
|
|
|
|
| def load_results(runs=None, prefix=None): |
| """Una riga per (lunghezza, politica, qid), dai result.json (non da results.jsonl).""" |
| runs = runs or RUNS |
| prefix = prefix or PREFIX |
| rows = [] |
| for L in LENGTHS: |
| for pol in POLS: |
| for d in sorted((runs / (prefix + L) / pol / "kf-c" / L).iterdir()): |
| r = json.loads((d / "result.json").read_text()) |
| rows.append({ |
| "L": L, "pol": pol, "qid": r["qid"], "dir": str(d), |
| "sample_id": int(r["qid"].split("_")[0]), |
| "qt": qtype_short(r["question_type"]), |
| "status": r["status"], |
| "off": float(r["score_official"] or 0), "norm": float(r["score_format_norm"] or 0), |
| "full": int(r["fully_correct"] or 0), |
| "empty": bool(r["answer_empty"]), "trunc": bool(r["answer_truncated"]), |
| "resid": bool(r["answer_residual_calls"]), "invalid": bool(r["answer_invalid_format"]), |
| "error": bool(r["answer_error"]), |
| "wall_s": r["wall_s"], "window": r["window"], "gold": r["gold"], |
| "pred": r.get("pred_answer"), "raw": r.get("raw_response"), |
| "finish": r.get("finish_reason"), |
| "engine": r.get("engine") or {}, "final_call": r.get("final_call") or {}, |
| "margin_viol": (r.get("engine") or {}).get("margin_violations"), |
| }) |
| return rows |
|
|
|
|
| def load_engine_calls(d): |
| return [json.loads(l) for l in open(Path(d) / "engine_calls.jsonl")] |
|
|
|
|
| def load_resources(d): |
| out = [] |
| for l in open(Path(d) / "resources.jsonl"): |
| try: |
| out.append(json.loads(l)) |
| except ValueError: |
| pass |
| return out |
|
|
|
|
| def samples(L, qt): |
| f = DATA / L / "tool_response" / ("count_frequency_tool.jsonl" if qt == "CF" else "find_duplicates_tool.jsonl") |
| out = {} |
| for l in open(f): |
| x = json.loads(l) |
| out[x["id"]] = x |
| return out |
|
|
|
|
| def load_main(): |
| """Corsa principale (domanda ambigua), per il confronto affiancato.""" |
| return load_results(MAIN_RUNS, "main-") |
|
|
