♻️ fix lint problems

nonebot_plugin_llmchat/__init__.py

@@ -1,13 +1,13 @@
 import asyncio
+import base64
 from collections import defaultdict, deque
 from datetime import datetime
 import json
 import os
 import random
 import re
-import time
-import base64
 import ssl
+import time
 from typing import TYPE_CHECKING
 
 import aiofiles
@@ -39,7 +39,11 @@ require("nonebot_plugin_apscheduler")
 from nonebot_plugin_apscheduler import scheduler
 
 if TYPE_CHECKING:
-    from openai.types.chat import ChatCompletionMessageParam
+    from openai.types.chat import (
+        ChatCompletionContentPartImageParam,
+        ChatCompletionContentPartTextParam,
+        ChatCompletionMessageParam,
+    )
 
 __plugin_meta__ = PluginMetadata(
     name="llmchat",
@@ -210,7 +214,7 @@ async def process_images(event: GroupMessageEvent) -> list[str]:
                     ssl_context = ssl.create_default_context()
                     ssl_context.check_hostname = False
                     ssl_context.verify_mode = ssl.CERT_NONE
-                    ssl_context.set_ciphers('DEFAULT@SECLEVEL=2')
+                    ssl_context.set_ciphers("DEFAULT@SECLEVEL=2")
 
                     # 下载图片并将图片转换为base64
                     async with httpx.AsyncClient(verify=ssl_context) as client:
@@ -219,7 +223,7 @@ async def process_images(event: GroupMessageEvent) -> list[str]:
                             logger.error(f"下载图片失败: {image_url}, 状态码: {response.status_code}")
                             continue
                         image_data = response.content
-                        base64_data = base64.b64encode(image_data).decode('utf-8')
+                        base64_data = base64.b64encode(image_data).decode("utf-8")
                         base64_images.append(base64_data)
                 except Exception as e:
                     logger.error(f"处理图片时出错: {e}")
@@ -288,15 +292,17 @@ async def process_messages(group_id: int):
             # 没有未处理的消息说明已经被处理了，跳过
             if state.past_events.__len__() < 1:
                 break
-            
+
             # 将消息中的图片转成 base64
             base64_images = []
             if preset.support_image:
                 base64_images = await process_images(event)
 
             # 将机器人错过的消息推送给LLM
-            content = ",".join([format_message(ev) for ev in state.past_events])
-            content = [{"type": "text", "text": content}]
+            text_content = ",".join([format_message(ev) for ev in state.past_events])
+            content: list[ChatCompletionContentPartTextParam | ChatCompletionContentPartImageParam] = [
+                {"type": "text", "text": text_content}
+            ]
             for base64_image in base64_images:
                 content.append({"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"}})