# USED BY THE WEB-APP FOR EXTRACTING FEATURES. 

import logging
from typing import Any, Dict

from feature_core import extract_features, load_nlp_model

logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
if not logger.handlers:
    handler = logging.StreamHandler()
    handler.setFormatter(logging.Formatter("%(name)s - %(levelname)s - %(message)s"))
    logger.addHandler(handler)


try:
    nlp = load_nlp_model("tl_calamancy_md-0.2.0")
except Exception as e:
    logger.error(f"Failed to load CalamanCy: {e}")
    nlp = None


def extract_features_web(text: str) -> Dict[str, Any]:
    if nlp is None:
        logger.error("NLP model unavailable")
        return {}

    try:
        return extract_features(text, nlp)
    except Exception as e:
        logger.error(f"NLP processing failed: {e}")
        return {}