#!/usr/bin/env python3 """Check data/ against the closebench package. python verify.py [--src /path/to/checkout] [--n 5] [--sample-seed 0] On every row: row counts, seed sets, mode-by-seed, world/truth pairing. For N random seeds (default 5), in both locales: 1. rebuild the world from the package and compare the serialised record with the stored line byte for byte (worlds and truth files); 2. "oracle": post the fixes from the stored truth row as adjusting entries on (a) the rebuilt world and (b) a world reconstructed purely from the JSONL rows (the README recipe) -- grade() must return passed=True, score=1.0 in both; 3. en and ru rows carry identical numbers (dates, accounts, amounts, fixes). Exit status 1 if anything fails. """ from __future__ import annotations import argparse, json, os, random, sys HERE = os.path.dirname(os.path.abspath(__file__)) sys.path.insert(0, HERE) from build import SEEDS, LANGS, DATA, mode_for, import_closebench, world_record, truth_record, dumps # noqa: E402 FAILS = 0 def check(cond: bool, msg: str) -> bool: global FAILS print((" ok " if cond else " FAIL ") + msg) if not cond: FAILS += 1 return cond def read_jsonl(path: str) -> list[tuple[bytes, dict]]: """(raw line without newline, parsed object) per row.""" with open(path, "rb") as f: return [(ln.rstrip(b"\n"), json.loads(ln)) for ln in f if ln.strip()] def world_from_rows(wrow: dict, trow: dict | None = None): """Rebuild a gradeable World from dataset rows alone (no .build(), no seed replay).""" from closebench.world import World, Document, PlantedError from closebench.ledger import Entry, Line, D world = World(seed=wrow["seed"], lang=wrow["lang"], difficulty=wrow["mode"]) world.name = wrow["company"] world.period_start, world.period_end = wrow["period"]["start"], wrow["period"]["end"] for e in wrow["entries"]: world.ledger.post(Entry(e["eid"], e["date"], e["memo"], [Line(l["account"], D(l["debit"]), D(l["credit"])) for l in e["lines"]], e["source"], e["ref"])) world.ledger._seq = len(wrow["entries"]) world.documents = [Document(**d) for d in wrow["documents"]] if trow is not None: world.errors = [PlantedError(**err) for err in trow["errors"]] return world def oracle(world, trow: dict) -> dict: """Post exactly the fix for every planted error, then grade.""" from closebench.tools import Session from closebench.grader import grade s = Session(world) for err in trow["errors"]: fix = err["fix"] s.post_entry(fix["period"][1], err["err_id"], [ {"account": fix["debit_account"], "debit": fix["amount"]}, {"account": fix["credit_account"], "credit": fix["amount"]}, ]) return grade(world, s) def numbers(wrow: dict, trow: dict): """Everything about a world except its text.""" return ([(e["eid"], e["date"], e["source"], e["ref"], e["lines"]) for e in wrow["entries"]], [(d["doc_id"], d["kind"], d["date"]) for d in wrow["documents"]], [(x["err_id"], x["kind"], x["entry_ids"], x["accounts"], x["amount"], x["fix"]) for x in trow["errors"]]) def main(): ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) ap.add_argument("--src", help="closebench source checkout to import from (if not pip-installed)") ap.add_argument("--data", default=DATA) ap.add_argument("--n", type=int, default=5, help="how many random seeds to rebuild (default 5)") ap.add_argument("--sample-seed", type=int, help="fix the random choice of seeds") a = ap.parse_args() World, version = import_closebench(a.src) print(f"closebench {version}; data={a.data}") files = {} for lang in LANGS: for kind in ("worlds", "truth"): p = os.path.join(a.data, f"{kind}-{lang}.jsonl") files[kind, lang] = read_jsonl(p) print("structure") for (kind, lang), rows in sorted(files.items()): seeds = [r["seed"] for _, r in rows] check(len(rows) == len(SEEDS), f"{kind}-{lang}: {len(rows)} rows (expected {len(SEEDS)})") check(seeds == SEEDS, f"{kind}-{lang}: seeds are exactly {SEEDS[0]}..{SEEDS[49]}, {SEEDS[50]}..{SEEDS[-1]} in order") check(all(r["mode"] == mode_for(r["seed"]) and r["lang"] == lang for _, r in rows), f"{kind}-{lang}: mode matches seed rule and lang column on every row") for lang in LANGS: w_keys = [(r["seed"], r["mode"]) for _, r in files["worlds", lang]] t_keys = [(r["seed"], r["mode"]) for _, r in files["truth", lang]] check(w_keys == t_keys, f"{lang}: worlds and truth rows pair up one-to-one") check(all(len(r["errors"]) > 0 for _, r in files["truth", lang]), f"{lang}: every truth row has >= 1 error") rng = random.Random(a.sample_seed) picked = sorted(rng.sample(SEEDS, a.n)) print(f"sampled seeds: {picked}" + (f" (--sample-seed {a.sample_seed})" if a.sample_seed is not None else " (random)")) idx = {sd: i for i, sd in enumerate(SEEDS)} for sd in picked: mode = mode_for(sd) for lang in LANGS: raw_w, wrow = files["worlds", lang][idx[sd]] raw_t, trow = files["truth", lang][idx[sd]] w = World(seed=sd, lang=lang, difficulty=mode).build() check(dumps(world_record(w)).encode("utf-8") == raw_w, f"seed {sd} {lang} {mode}: rebuilt snapshot == stored worlds line, byte for byte ({len(raw_w):,d} bytes)") check(dumps(truth_record(w)).encode("utf-8") == raw_t, f"seed {sd} {lang} {mode}: rebuilt truth == stored truth line, byte for byte") r1 = oracle(w, trow) check(r1["passed"] and r1["score"] == 1.0 and not r1["missed"] and not r1["spurious_entries"], f"seed {sd} {lang}: oracle on package-built world -> score {r1['score']}, passed {r1['passed']}, " f"{len(r1['found'])}/{len(trow['errors'])} found") r2 = oracle(world_from_rows(wrow, trow), trow) check(r2["passed"] and r2["score"] == 1.0, f"seed {sd} {lang}: oracle on world rebuilt from JSONL rows -> score {r2['score']}, passed {r2['passed']}") check(numbers(files["worlds", "en"][idx[sd]][1], files["truth", "en"][idx[sd]][1]) == numbers(files["worlds", "ru"][idx[sd]][1], files["truth", "ru"][idx[sd]][1]), f"seed {sd}: en and ru differ only in text") print(f"{'ALL CHECKS PASSED' if not FAILS else f'{FAILS} CHECK(S) FAILED'}") sys.exit(1 if FAILS else 0) if __name__ == "__main__": main()