# One-off patch of the dataset's v1.2 shards to v1.3 (lead, 2026-11-05): prefill rows with condition "setup" dropped, as
# the steering runs dropped that planted conclusion when its kind joined "It's not real". Same shards, schema and compression;
# rewrites build_report.json counts.
# Usage: python patch_v1_3.py <dataset folder>
import collections, glob, json, math, os, sys
import pyarrow.compute as pc, pyarrow.parquet as pq

H = sys.argv[1]
cnt = dict(rows=0, setting=collections.Counter(), bench=collections.Counter(), mon=collections.Counter(), js=collections.Counter())
dropped = 0
for f in sorted(glob.glob(f"{H}/data/reviews-*.parquet")):
    pf = pq.ParquetFile(f); t = pf.read(); n0 = t.num_rows; rg = math.ceil(n0 / pf.metadata.num_row_groups)
    t = t.filter(pc.invert(pc.and_(pc.equal(t["setting"], "prefill"), pc.fill_null(pc.equal(t["prefill_condition"], "setup"), False))))
    dropped += n0 - t.num_rows
    pq.write_table(t, f, compression="zstd", row_group_size=rg)
    cnt["rows"] += t.num_rows
    for k, col in (("setting", "setting"), ("bench", "benchmark"), ("mon", "monitor_model")):
        cnt[k].update(t[col].to_pylist())
    cnt["js"].update(f"{s}/{j}" for s, j in zip(t["setting"].to_pylist(), t["judge_status"].to_pylist()))
rep = json.load(open(f"{H}/build_report.json"))
rep.update(rows=cnt["rows"], rows_by_setting=dict(sorted(cnt["setting"].items())), rows_by_benchmark=dict(sorted(cnt["bench"].items())),
           rows_by_monitor=dict(sorted(cnt["mon"].items())), judge_status=dict(sorted(cnt["js"].items())),
           bytes=sum(os.path.getsize(f) for f in glob.glob(f"{H}/data/reviews-*.parquet")),
           v1_3_patch="2026-11-05: prefill condition 'setup' dropped (%d rows)" % dropped)
json.dump(rep, open(f"{H}/build_report.json", "w"), indent=1, sort_keys=True)
print("dropped", dropped, "rows", cnt["rows"]); print(json.dumps({k: rep[k] for k in ("rows_by_setting", "rows_by_monitor", "rows_by_benchmark")}, indent=1))