from pathlib import Path
import dashscope
from models.generator import Generator
from models.emoji_db import check_emoji, update_description
from controllers.localfile_handles import get_emoji_count, yield_emoji_path
from controllers.compress_image import compress_image
from models.logger import setup_logger

logger = setup_logger()

api_key = "sk-213f83213fce4e2ba41b8e67721f19cb"
dashscope.api_key = api_key

root_folder = "D:\\Python\\mcunc\\EmojiTextGenerator\\"
emoji_folder = "D:\\Python\\mcunc\\EmojiTextGenerator\\emojis\\"

emoji = yield_emoji_path(emoji_folder)

gen = Generator(api_key)

def main():
    for i in range(get_emoji_count(emoji_folder)):
        emoji_file = next(emoji)
        emoji_uuid = ''
        p = Path(emoji_file)
        if p.suffix == ".jpg" or p.suffix == ".jpeg":
            emoji_uuid = p.stem
        image = compress_image(emoji_file)
        image_path = Path(root_folder) / image

        if check_emoji(emoji_uuid):
            try:
                description = gen.process_local_image(str(image_path))
            except AttributeError:
                logger.warning("AI模型未响应，请检查是否欠费！")
                break
            update_description(emoji_uuid, description)
            if description:
                logger.info(f"图片 {emoji_file} 的描述词生成完毕，序号：{i + 1}， 其 description 为: {description}")
            else:
                logger.warning(f"图片 {emoji_file} 的描述词生成失败！序号：{i + 1}")

if __name__ == '__main__':
    try:
        main()
    except KeyboardInterrupt:
        exit()