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

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 generate_description_to_txt():
    fp = open("descriptions.txt", "w", encoding="utf-8")
    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

        description = gen.process_local_image(str(image_path))
        logger.info(f"图片 {emoji_file} 的描述词生成完毕，序号：{i}， 其 description 为: {description}")
        fp.write(f"{emoji_uuid}: {description}\n")
    fp.close()

generate_description_to_txt()

content = get_emoji_url("c3151774-2c4c-48f6-a3ac-b8802cf95498")
print(content)

url = 'https://pic1.arkoo.com/56D0B40F99F841DF8A2425762AE2565D/picture/o_1i4qop009177v1tgf14db15he1iaj1is.jpg'
print(gen.process_link_image(url))