from __future__ import annotations

import re


NL_PHRASE_REPLACEMENTS = {
    "PLAN": "PLAN",
}


def normalize_nl_text(text: str, field_path: str = "") -> str:
    cleaned = text
    for source, target in NL_PHRASE_REPLACEMENTS.items():
        cleaned = cleaned.replace(source, target)
    return re.sub(r"\s+", " ", cleaned).strip()