#!/usr/bin/env python3 """Validate CropMath clean formula catalog metadata.""" from __future__ import annotations import argparse import csv import json from pathlib import Path import re REQUIRED_FIELDS = [ "formula_id", "family", "name_en", "unit", "precision", "expression", "latex", "math_type", "sample_count", ] EXPECTED_FORMULAS = 62 PUBLIC_ID_RE = re.compile(r"CMF\d{3}") PUBLIC_CATEGORIES = { "growth_yield", "carbon_nitrogen_cycle", "methane_emission", "environmental_response", } def main() -> None: parser = argparse.ArgumentParser(description="Validate clean formula catalog table") parser.add_argument("--path", default="release/cropmath-v1/metadata/formula_catalog.csv") args = parser.parse_args() path = Path(args.path) issues: list[str] = [] with path.open(encoding="utf-8") as f: rows = list(csv.DictReader(f)) ids = [row.get("formula_id", "") for row in rows] if len(ids) != len(set(ids)): issues.append("duplicate formula_id rows") if len(ids) != EXPECTED_FORMULAS: issues.append(f"formula count {len(ids)}, expected {EXPECTED_FORMULAS}") invalid_ids = [formula_id for formula_id in ids if not PUBLIC_ID_RE.fullmatch(formula_id)] if invalid_ids: issues.append(f"invalid public formula IDs: {invalid_ids[:5]}") for row in rows: fid = row.get("formula_id", "") missing = [field for field in REQUIRED_FIELDS if not str(row.get(field, "")).strip()] if missing: issues.append(f"{fid}: missing required fields {missing}") if row.get("family") not in PUBLIC_CATEGORIES: issues.append(f"{fid}: invalid public category {row.get('family')!r}") report = { "path": str(path), "formulas": len(rows), "expected_formulas": EXPECTED_FORMULAS, "pass": not issues, "issues": issues, } print(json.dumps(report, ensure_ascii=False, indent=2)) if issues: raise SystemExit(1) if __name__ == "__main__": main()