feat: implement robust personnel data extraction pipeline with text-based fallback and coordinate-aware processing

src/ocr_sprint/api/routes/documents.py

@@ -86,14 +86,18 @@ def _row_to_response(row: object) -> DocumentResponse:
 
     assert isinstance(row, JobRow)
     status_enum = DocumentStatus(row.status)
-    result_obj: ExtractionResult | None = None
+    personel_list = None
     if row.result is not None:
         result_obj = ExtractionResult.model_validate(row.result)
+        # Auto-number personnel entries sequentially (1, 2, 3, ...)
+        for idx, entry in enumerate(result_obj.personel, start=1):
+            entry.no = idx
+        personel_list = result_obj.personel
     return DocumentResponse(
         job_id=row.job_id,
         status=status_enum,
         confidence=row.confidence,
-        data=result_obj,
+        data=personel_list,
         review_flags=list(row.review_flags or []),
         error=row.error,
         approved=bool(row.approved),