import os
from pathlib import Path
from dashscope import MultiModalConversation
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\\"
root_folder = "G:\\Python\\mcunc\\EmojiTextGenerator\\"
emoji_folder = "G:\\Python\\mcunc\\EmojiTextGenerator\\emojis\\"

emoji = yield_emoji_path(emoji_folder)

gen = Generator(api_key)

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
    # print(emoji_uuid)
    image = compress_image(emoji_file)
    image_path = Path(root_folder) / image
    # print(image_path)

    description = gen.process_single_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()