"""Normalize and segment text without neural generation."""

from __future__ import annotations

import re


def normalize_whitespace(text: str) -> str:
    text = text.replace("\r\n", "\n").replace("\r", "\n")
    text = re.sub(r"[ \t]+", " ", text)
    text = re.sub(r"\n{3,}", "\n\n", text)
    return text.strip()


def split_paragraphs(text: str) -> list[str]:
    parts = [p.strip() for p in re.split(r"\n\s*\n", text) if p.strip()]
    return parts or ([text.strip()] if text.strip() else [])


def split_sentences_regex(text: str) -> list[str]:
    """Fallback sentence splitter when spaCy is unavailable."""
    text = text.strip()
    if not text:
        return []
    parts = re.split(r"(?<=[.!?])\s+", text)
    return [p.strip() for p in parts if p.strip()]


def word_count(text: str) -> int:
    return len(text.split()) if text.strip() else 0