"""
Multilingual normalization layer for clinical messages.
Preserves raw input while generating normalized, canonical representations.
"""

import re
import unicodedata
from typing import Dict, Any, Tuple

from app.services.contextual_normalizer import (
    normalize_duration_from_message,
    detect_previous_question_intent,
    is_duration_expression,
    is_severity_expression,
    is_location_expression,
    is_negative_expression,
    is_casual_filler,
    extract_severity_from_message,
    extract_location_from_message,
)


def normalize_text(text: str) -> str:
    """
    Cleans Unicode, strips extra spaces, standardizes quotes and punctuation.
    """
    if not text:
        return ""
    # Unicode Normalization Form C
    normalized = unicodedata.normalize("NFC", text)
    # Replace non-breaking spaces and smart quotes
    normalized = normalized.replace("\xa0", " ").replace("’", "'").replace("“", '"').replace("”", '"')
    # Collapse multiple whitespaces
    normalized = re.sub(r"\s+", " ", normalized).strip()
    return normalized


def detect_language(text: str, default_lang: str = "en") -> str:
    """
    Detects script/language (ta, hi, te, kn, en).
    """
    if not text:
        return default_lang

    # Script character ranges
    has_ta = bool(re.search(r"[\u0B80-\u0BFF]", text))
    has_hi = bool(re.search(r"[\u0900-\u097F]", text))
    has_te = bool(re.search(r"[\u0C00-\u0C7F]", text))
    has_kn = bool(re.search(r"[\u0C80-\u0CFF]", text))

    if has_ta:
        return "ta-IN"
    if has_hi:
        return "hi-IN"
    if has_te:
        return "te-IN"
    if has_kn:
        return "kn-IN"

    # Transliterated language keywords
    msg_lower = text.lower()
    if any(w in msg_lower for w in ["irukku", "thalaivali", "romba", "mudiyala", "saapudren"]):
        return "ta-IN"
    if any(w in msg_lower for w in ["dard", "ho raha", "hoga", "le raha"]):
        return "hi-IN"
    if any(w in msg_lower for w in ["noppi", "undi", "thala noppi"]):
        return "te-IN"
    if any(w in msg_lower for w in ["novu", "ide", "thale novu"]):
        return "kn-IN"

    return default_lang or "en-IN"