删除 5m以上缓存图片

src/plugins/chat/emoji_manager.py

@@ -235,6 +235,7 @@ class EmojiManager:
             
         except Exception as e:
             print(f"\033[1;31m[错误]\033[0m 获取标签失败: {str(e)}")
+            return "skip"
         
         print(f"\033[1;32m[调试信息]\033[0m 使用默认标签: neutral")
         return "skip"  # 默认标签
@@ -249,12 +250,20 @@ class EmojiManager:
             files_to_process = [f for f in os.listdir(emoji_dir) if f.endswith('.jpg')]
             
             for filename in files_to_process:
+                image_path = os.path.join(emoji_dir, filename)
+                
+                # 检查文件大小
+                file_size = os.path.getsize(image_path)
+                if file_size > 5 * 1024 * 1024:  # 5MB
+                    print(f"\033[1;33m[警告]\033[0m 表情包文件过大 ({file_size/1024/1024:.2f}MB)，删除: {filename}")
+                    os.remove(image_path)
+                    continue
+                
                 # 检查是否已经注册过
                 existing_emoji = self.db.db['emoji'].find_one({'filename': filename})
                 if existing_emoji:
                     continue
                     
-                image_path = os.path.join(emoji_dir, filename)
                 # 读取图片数据
                 with open(image_path, 'rb') as f:
                     image_data = f.read()

src/plugins/chat/message.py

@@ -72,7 +72,7 @@ class Message:
         #将详细翻译为详细可读文本
         time_str = time.strftime("%m-%d %H:%M:%S", time.localtime(self.time))
         try:
-            name = f"[({self.user_id}){self.user_nickname}]{self.user_cardname}"
+            name = f"{self.user_nickname}(ta的昵称:{self.user_cardname},ta的id:{self.user_id})"
         except:
             name = self.user_nickname or f"用户{self.user_id}"
         content = self.processed_plain_text

src/plugins/chat/utils_image.py

@@ -6,32 +6,26 @@ import os
 from ...common.database import Database
 import zlib  # 用于 CRC32
 import base64
-from .config import global_config
 from nonebot import get_driver
 
 driver = get_driver()
 config = driver.config
 
 
-def storage_image(image_data: bytes,type: str, max_size: int = 200) -> bytes:
-    if type == 'image':
-        return storage_compress_image(image_data, max_size)
-    elif type == 'emoji':
-        return storage_emoji(image_data)
-    else:
-        raise ValueError(f"不支持的图片类型: {type}")
 
-
+def storage_compress_image(base64_data: str, max_size: int = 200) -> str:
-def storage_compress_image(image_data: bytes, max_size: int = 200) -> bytes:
     """
-    压缩图片到指定大小（单位：KB）并在数据库中记录图片信息
+    压缩base64格式的图片到指定大小（单位：KB）并在数据库中记录图片信息
     Args:
-        image_data: 图片字节数据
+        base64_data: base64编码的图片数据
-        group_id: 群组ID
-        user_id: 用户ID
         max_size: 最大文件大小（KB）
+    Returns:
+        str: 压缩后的base64图片数据
     """
     try:
+        # 将base64转换为字节数据
+        image_data = base64.b64decode(base64_data)
+        
         # 使用 CRC32 计算哈希值
         hash_value = format(zlib.crc32(image_data) & 0xFFFFFFFF, 'x')
         
@@ -41,11 +35,11 @@ def storage_compress_image(image_data: bytes, max_size: int = 200) -> bytes:
         
         # 连接数据库
         db = Database(
-            host= config.mongodb_host,
+            host=config.mongodb_host,
-            port= int(config.mongodb_port),
+            port=int(config.mongodb_port),
-            db_name=  config.database_name,
+            db_name=config.database_name,
-            username= config.mongodb_username,
+            username=config.mongodb_username,
-            password= config.mongodb_password,
+            password=config.mongodb_password,
             auth_source=config.mongodb_auth_source
         )
         
@@ -55,14 +49,14 @@ def storage_compress_image(image_data: bytes, max_size: int = 200) -> bytes:
         
         if existing_image:
             print(f"\033[1;33m[提示]\033[0m 发现重复图片，使用已存在的文件: {existing_image['path']}")
-            return image_data
+            return base64_data
 
         # 将字节数据转换为图片对象
         img = Image.open(io.BytesIO(image_data))
         
         # 如果是动图，直接返回原图
         if getattr(img, 'is_animated', False):
-            return image_data
+            return base64_data
             
         # 计算当前大小（KB）
         current_size = len(image_data) / 1024
@@ -127,14 +121,16 @@ def storage_compress_image(image_data: bytes, max_size: int = 200) -> bytes:
             
         except Exception as db_error:
             print(f"\033[1;31m[错误]\033[0m 数据库操作失败: {str(db_error)}")
-            
+        
-        return compressed_data
+        # 将压缩后的数据转换为base64
+        compressed_base64 = base64.b64encode(compressed_data).decode('utf-8')
+        return compressed_base64
         
     except Exception as e:
         print(f"\033[1;31m[错误]\033[0m 压缩图片失败: {str(e)}")
         import traceback
         print(traceback.format_exc())
-        return image_data 
+        return base64_data
 
 def storage_emoji(image_data: bytes) -> bytes:
     """
@@ -215,4 +211,48 @@ def storage_image(image_data: bytes) -> bytes:
         
     except Exception as e:
         print(f"\033[1;31m[错误]\033[0m 保存图片失败: {str(e)}")
-        return image_data 
+        return image_data 
+
+def compress_base64_image_by_scale(base64_data: str, scale: float = 0.5) -> str:
+    """按比例压缩base64格式的图片
+    Args:
+        base64_data: base64编码的图片数据
+        scale: 压缩比例（0-1之间的浮点数）
+    Returns:
+        str: 压缩后的base64图片数据
+    """
+    try:
+        # 将base64转换为字节数据
+        image_data = base64.b64decode(base64_data)
+        
+        # 将字节数据转换为图片对象
+        img = Image.open(io.BytesIO(image_data))
+        
+        # 如果是动图，直接返回原图
+        if getattr(img, 'is_animated', False):
+            return base64_data
+            
+        # 计算新的尺寸
+        new_width = int(img.width * scale)
+        new_height = int(img.height * scale)
+        
+        # 缩放图片
+        img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
+        
+        # 转换为RGB模式（去除透明通道）
+        if img.mode in ('RGBA', 'P'):
+            img = img.convert('RGB')
+        
+        # 保存压缩后的图片
+        output = io.BytesIO()
+        img.save(output, format='JPEG', quality=85, optimize=True)
+        compressed_data = output.getvalue()
+        
+        # 转换回base64
+        return base64.b64encode(compressed_data).decode('utf-8')
+        
+    except Exception as e:
+        print(f"\033[1;31m[错误]\033[0m 压缩图片失败: {str(e)}")
+        import traceback
+        print(traceback.format_exc())
+        return base64_data 

src/plugins/models/utils_model.py

@@ -6,6 +6,7 @@ from typing import Tuple, Union
 from nonebot import get_driver
 from loguru import logger
 from ..chat.config import global_config
+from ..chat.utils_image import compress_base64_image_by_scale
 
 driver = get_driver()
 config = driver.config
@@ -82,27 +83,28 @@ class LLM_request:
         }
         
         # 构建请求体
-        data = {
+        def build_request_data(img_base64: str):
-            "model": self.model_name,
+            return {
-            "messages": [
+                "model": self.model_name,
-                {
+                "messages": [
-                    "role": "user",
+                    {
-                    "content": [
+                        "role": "user",
-                        {
+                        "content": [
-                            "type": "text",
+                            {
-                            "text": prompt
+                                "type": "text",
-                        },
+                                "text": prompt
-                        {
+                            },
-                            "type": "image_url",
+                            {
-                            "image_url": {
+                                "type": "image_url",
-                                "url": f"data:image/jpeg;base64,{image_base64}"
+                                "image_url": {
+                                    "url": f"data:image/jpeg;base64,{img_base64}"
+                                }
                             }
-                        }
+                        ]
-                    ]
+                    }
-                }
+                ],
-            ],
+                **self.params
-            **self.params
+            }
-        }
         
         # 发送请求到完整的chat/completions端点
         api_url = f"{self.base_url.rstrip('/')}/chat/completions"
@@ -110,9 +112,11 @@ class LLM_request:
         
         max_retries = 3
         base_wait_time = 15
+        current_image_base64 = image_base64
         
         for retry in range(max_retries):
             try:
+                data = build_request_data(current_image_base64)
                 async with aiohttp.ClientSession() as session:
                     async with session.post(api_url, headers=headers, json=data) as response:
                         if response.status == 429:
@@ -120,6 +124,10 @@ class LLM_request:
                             logger.warning(f"遇到请求限制(429)，等待{wait_time}秒后重试...")
                             await asyncio.sleep(wait_time)
                             continue
+                        elif response.status == 413:
+                            logger.warning("图片太大(413)，尝试压缩...")
+                            current_image_base64 = compress_base64_image_by_scale(current_image_base64)
+                            continue
                             
                         response.raise_for_status()  # 检查其他响应状态