import logging
import sys

import paddle
from paddleocr import PaddleOCR

# check GPU
# gpu = True if torch.cuda.is_available() else False
GPU = paddle.device.is_compiled_with_cuda()

IMAGE_FORMAT = (".bmp", ".gif", ".jpeg", ".jpg", ".png")
OUT_DIR = "data/output/"

RECOGNITION_THRESHOLD = 0.90
FONTPATH = "fonts/GenShinGothic-Bold.ttf"
""" Models list
# Detection:
ch_PP-OCRv4_det: lightweight model,
    supporting Chinese, English, multilingual
ch_PP-OCRv4_server_det: server model,
    supporting Chinese, English, multilingual
en_PP-OCRv3_det: lightweight model,
    supporting English, multilingual text detection

# Recognition:
ch_PP-OCRv4_rec: lightweight model,
    supporting Chinese, English, multilingual text recognition.
    dict is attached.
japan_PP-OCRv4_rec: Lightweight model for Japanese recognition
    Need dict: ppocr/utils/dict/japan_dict.txt

"""

OCR_JA = PaddleOCR(
    det_model_dir="models/detection/ch_PP-OCRv4_server_det/",
    rec_model_dir="models/recognition/japan_PP-OCRv4_rec/",
    rec_char_dict_path="models/char_dict/japan_dict.txt",
    cls_model_dir="models/cls/ch_ppocr_mobile_v2.0_cls",
    use_angle_cls=True,
    use_gpu=GPU,
    show_log=False,
)

OCR_ML = PaddleOCR(
    det_model_dir="models/detection/ch_PP-OCRv4_server_det/",
    rec_model_dir="models/recognition/ch_PP-OCRv4_rec/",
    # rec_char_dict_path="models/char_dict/japan_dict.txt",
    cls_model_dir="models/cls/ch_ppocr_mobile_v2.0_cls",
    use_angle_cls=True,
    use_gpu=GPU,
    show_log=False,
)

# MARKDOWN
TEXT_SCALE = 1
MAX_CHAR = 40  # Klever Wiki


# TODO: add logging
"""Define logging"""
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
# logger_value = logging.getLogger("Value")
# logger_value.disabled()
# logger_date = logging.getLogger("Date")
# logger_date.disable()