feat(normalizer): add main() CLI to persons_tree

Wires the two-pass pipeline (parse → deduplicate → index → resolve)
into a runnable CLI with --input, --output, and --dry-run flags.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tools/import-normalizer/persons_tree.py

@@ -310,3 +310,100 @@ def _parse_bemerkung(
 
     # No pattern matched — full text goes to notes, nothing to unresolved
     return [], [], s
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description="Normalize Personendatei 2.xlsx → canonical-persons-tree.json"
+    )
+    parser.add_argument(
+        "--input", default=str(config.PERSON_WORKBOOK),
+        help="Path to Personendatei 2.xlsx"
+    )
+    parser.add_argument(
+        "--output", default=str(config.OUT_DIR / "canonical-persons-tree.json"),
+        help="Path for output JSON"
+    )
+    parser.add_argument("--dry-run", action="store_true", help="Print stats, skip write")
+    args = parser.parse_args()
+
+    from ingest import read_sheet, build_header_map
+
+    rows = read_sheet(Path(args.input), config.PERSON_SHEET)
+    if not rows:
+        print("ERROR: sheet is empty", file=sys.stderr)
+        sys.exit(1)
+
+    header_row = [str(v) for v in rows[0]]
+    fields_map, _ = build_header_map(header_row, config.PERSON_HEADER_MAP, config.PERSON_REQUIRED_FIELDS)
+
+    # --- Pass 1: parse rows ---
+    persons_raw: list[dict] = []
+    for row_num, row in enumerate(rows[1:], start=2):
+        field_dict = {field: (row[col] if col < len(row) else "") for field, col in fields_map.items()}
+        if not field_dict.get("last_name", "").strip():
+            continue
+        persons_raw.append(_parse_row(row_num, field_dict))
+
+    persons, skipped_msgs = _deduplicate(persons_raw)
+    for msg in skipped_msgs:
+        print(f"  SKIP {msg}", file=sys.stderr)
+
+    index = _build_index(persons)
+
+    # --- Pass 2: resolve relationships ---
+    all_rels: list[dict] = []
+    all_unresolved: list[dict] = []
+
+    spouse_rels, spouse_unres = _resolve_spouses(persons, index)
+    all_rels.extend(spouse_rels)
+    all_unresolved.extend(spouse_unres)
+
+    for p in persons:
+        bemerkung = p.pop("_bemerkung_raw", None) or ""
+        p.pop("_spouse_raw", None)
+
+        rels, unres, remaining = _parse_bemerkung(p["rowId"], bemerkung, index)
+        all_rels.extend(rels)
+        all_unresolved.extend(unres)
+
+        if remaining:
+            existing = p.get("notes") or ""
+            if remaining not in existing:
+                p["notes"] = (existing + " " + remaining).strip() if existing else remaining
+
+    # --- Stats output ---
+    spouse_count = sum(1 for r in all_rels if r["type"] == "SPOUSE_OF")
+    parent_count = sum(1 for r in all_rels if r["type"] == "PARENT_OF")
+    print(f"✓ {len(persons)} persons parsed")
+    print(f"✓ {len(all_rels)} relationships emitted ({spouse_count} SPOUSE_OF, {parent_count} PARENT_OF)")
+    if all_unresolved:
+        print(f"⚠  {len(all_unresolved)} unresolved (see unresolved[] in output)")
+
+    if args.dry_run:
+        print("\n--- dry-run: first 5 unresolved ---")
+        for u in all_unresolved[:5]:
+            print(f"  {u}")
+        return
+
+    output = {
+        "generated_at": datetime.datetime.now().isoformat(),
+        "source": Path(args.input).name,
+        "stats": {
+            "persons": len(persons),
+            "relationships": len(all_rels),
+            "unresolved": len(all_unresolved),
+        },
+        "persons": persons,
+        "relationships": all_rels,
+        "unresolved": all_unresolved,
+    }
+
+    out_path = Path(args.output)
+    out_path.parent.mkdir(exist_ok=True)
+    out_path.write_text(json.dumps(output, ensure_ascii=False, indent=2), encoding="utf-8")
+    print(f"→  {args.output}")
+
+
+if __name__ == "__main__":
+    main()