#!/usr/bin/env python3 """Strict, reproducible checks for the 100 manually reviewed semantic records.""" from __future__ import annotations import argparse import json from collections import Counter from pathlib import Path ROOT = Path(__file__).resolve().parents[1] ANN = ROOT / "annotations" EXPECTED = {f"CBX100_{index:04d}" for index in range(1, 101)} def read_jsonl(path: Path) -> list[dict]: with path.open(encoding="utf-8") as handle: return [json.loads(line) for line in handle if line.strip()] def main() -> None: parser = argparse.ArgumentParser() parser.add_argument("--integrated", action="store_true", help="also verify metadata/prompt synchronization") args = parser.parse_args() rows = read_jsonl(ANN / "visual_semantics.jsonl") ids = [row.get("sample_id") for row in rows] errors: list[str] = [] if len(rows) != 100: errors.append(f"expected 100 rows, found {len(rows)}") if len(set(ids)) != len(ids): errors.append("duplicate sample IDs: " + str([item for item, count in Counter(ids).items() if count > 1])) if set(ids) != EXPECTED: errors.append(f"ID mismatch; missing={sorted(EXPECTED-set(ids))}, extra={sorted(set(ids)-EXPECTED)}") required = { "sample_id", "annotation_method", "primary_form", "visual_features", "visual_caption_en", "visual_caption_zh", "feature_tree_hint", "confidence", } feature_keys = {"openings", "recesses", "protrusions", "repeated_structures", "symmetry", "surface_character"} for row in rows: sid = row.get("sample_id", "") missing = required - row.keys() if missing: errors.append(f"{sid}: missing fields {sorted(missing)}") continue if row["annotation_method"] != "manual_visual_inspection_of_four_view_render": errors.append(f"{sid}: invalid annotation method") if set(row["visual_features"]) != feature_keys: errors.append(f"{sid}: visual_features schema mismatch") if not row["visual_caption_en"].strip() or not row["visual_caption_zh"].strip(): errors.append(f"{sid}: blank caption") if len(row["feature_tree_hint"]) < 2: errors.append(f"{sid}: insufficient feature-tree hints") image = ROOT / "data" / "multiview" / f"{sid}.png" if not image.is_file(): errors.append(f"{sid}: missing reviewed four-view image") if len({row["visual_caption_en"] for row in rows}) != 100: errors.append("English captions are not unique per sample") if len({row["visual_caption_zh"] for row in rows}) != 100: errors.append("Chinese captions are not unique per sample") if args.integrated: metadata = {row["sample_id"]: row for row in read_jsonl(ANN / "metadata_extended.jsonl")} prompts = {row["sample_id"]: row for row in read_jsonl(ANN / "prompts.jsonl")} if set(metadata) != EXPECTED or set(prompts) != EXPECTED: errors.append("integrated index IDs do not match the 100-sample set") for visual in rows: sid = visual["sample_id"] if sid not in metadata or sid not in prompts: continue if metadata[sid]["descriptions"]["en"] != visual["visual_caption_en"]: errors.append(f"{sid}: metadata English description is not synchronized") if prompts[sid]["descriptions"]["zh"] != visual["visual_caption_zh"]: errors.append(f"{sid}: prompt-index Chinese description is not synchronized") if metadata[sid]["prompts"] != prompts[sid]["prompts"]: errors.append(f"{sid}: prompt payloads are not synchronized") if errors: print("Visual-semantic validation: FAILED") for error in errors: print("-", error) raise SystemExit(1) print("Visual-semantic validation: PASSED") print("- 100/100 sample IDs present and unique") print("- 100/100 four-view images present") print("- 100/100 English and Chinese captions are sample-specific") print("- structured features and feature-tree hints complete") if args.integrated: print("- metadata and prompt indexes synchronized") if __name__ == "__main__": main()