second commit

main.py

@@ -1,17 +1,47 @@
 import os
-from dashscope import MultiModalConversation
-import dashscope
+from pathlib import Path
+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
 
-# 本地图像的绝对路径
-local_path = r"D:\Python\mcunc\EmojiTextGenerator\emojis\00e4f193-74af-40f7-8722-59d5a5931f92.jpg"
-image_path = f"file://{local_path}"
-messages = [
-                {'role':'user',
-                'content': [{'image': image_path},
-                            {'text': '使用简洁语言描述该表情包 ，例如 在吗 ，生气，？'}]}]
-response = MultiModalConversation.call(
-    api_key="sk-213f83213fce4e2ba41b8e67721f19cb",
-    model='qwen3-vl-plus',
-    messages=messages)
+logger = setup_logger()
 
-print(response.output.choices[0].message.content[0]["text"])
+root_folder = "D:\\Python\\mcunc\\EmojiTextGenerator\\"
+emoji_folder = "D:\\Python\\mcunc\\EmojiTextGenerator\\emojis\\"
+emoji = yield_emoji_path(emoji_folder)
+
+api_key = "sk-213f83213fce4e2ba41b8e67721f19cb"
+gen = Generator(api_key)
+
+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)
+
+if check_emoji(emoji_uuid):
+    description = gen.process_single_image(str(image_path))
+    update_description(emoji_uuid, description)
+    logger.info(f"图片 {emoji_file} 的描述词生成完毕， 其 description 为: {description}")
+else:
+    logger.error(f"图片 {emoji_uuid} 不在数据库中！")
+
+# # 本地图像的绝对路径
+# local_path = r"D:\Python\mcunc\EmojiTextGenerator\emojis\00e4f193-74af-40f7-8722-59d5a5931f92.jpg"
+# image_path = f"file://{local_path}"
+# messages = [
+#                 {'role':'user',
+#                 'content': [{'image': image_path},
+#                             {'text': '使用简洁语言描述该表情包 ，例如 在吗 ，生气，？'}]}]
+# response = MultiModalConversation.call(
+#     api_key="sk-213f83213fce4e2ba41b8e67721f19cb",
+#     model='qwen3-vl-plus',
+#     messages=messages)
+#
+# print(response.output.choices[0].message.content[0]["text"])