import re
from typing import List, Tuple

from imgutils.data import ImageTyping
from imgutils.detect.halfbody import detect_halfbody

from .base import DeepGHSObjectDetection


def _parse_model_name(model_name: str):
    matching = re.fullmatch(r'^halfbody_detect_(?P<version>[\s\S]+?)_(?P<level>[\s\S]+?)$', model_name)
    return matching.group('version'), matching.group('level')


class HalfBodyDetection(DeepGHSObjectDetection):
    def __init__(self):
        DeepGHSObjectDetection.__init__(self, repo_id='deepghs/anime_halfbody_detection')

    def _get_default_model(self) -> str:
        return 'halfbody_detect_v1.0_s'

    def _get_default_iou_and_score(self, model_name: str) -> Tuple[float, float]:
        return 0.7, 0.5

    def _get_labels(self, model_name: str) -> List[str]:
        return ['halfbody']

    def detect(self, image: ImageTyping, model_name: str,
               iou_threshold: float = 0.7, score_threshold: float = 0.25) \
            -> List[Tuple[Tuple[float, float, float, float], str, float]]:
        version, level = _parse_model_name(model_name)
        return detect_halfbody(image, level=level, version=version,
                               conf_threshold=score_threshold, iou_threshold=iou_threshold)