fix: emoji压缩功能正常使用

src/plugins/chat/emoji_manager.py

@@ -12,6 +12,8 @@ import base64
 import shutil
 import asyncio
 import time
+from PIL import Image
+import io
 
 from nonebot import get_driver
 from ..chat.config import global_config
@@ -240,41 +242,102 @@ class EmojiManager:
         print(f"\033[1;32m[调试信息]\033[0m 使用默认标签: neutral")
         return "skip"  # 默认标签
 
+    async def _compress_image(self, image_path: str, target_size: int = 4 * 1024 * 1024) -> Optional[str]:
+        """压缩图片并返回base64编码
+        Args:
+            image_path: 图片文件路径
+            target_size: 目标文件大小（字节），默认4MB
+        Returns:
+            Optional[str]: 成功返回base64编码的图片数据，失败返回None
+        """
+        try:
+            file_size = os.path.getsize(image_path)
+            if file_size <= target_size:
+                # 如果文件已经小于目标大小，直接读取并返回base64
+                with open(image_path, 'rb') as f:
+                    return base64.b64encode(f.read()).decode('utf-8')
+            
+            # 打开图片
+            with Image.open(image_path) as img:
+                # 获取原始尺寸
+                original_width, original_height = img.size
+                
+                # 计算缩放比例
+                scale = min(1.0, (target_size / file_size) ** 0.5)
+                
+                # 计算新的尺寸
+                new_width = int(original_width * scale)
+                new_height = int(original_height * scale)
+                
+                # 创建内存缓冲区
+                output_buffer = io.BytesIO()
+                
+                # 如果是GIF，处理所有帧
+                if getattr(img, "is_animated", False):
+                    frames = []
+                    for frame_idx in range(img.n_frames):
+                        img.seek(frame_idx)
+                        new_frame = img.copy()
+                        new_frame = new_frame.resize((new_width, new_height), Image.Resampling.LANCZOS)
+                        frames.append(new_frame)
+                    
+                    # 保存到缓冲区
+                    frames[0].save(
+                        output_buffer,
+                        format='GIF',
+                        save_all=True,
+                        append_images=frames[1:],
+                        optimize=True,
+                        duration=img.info.get('duration', 100),
+                        loop=img.info.get('loop', 0)
+                    )
+                else:
+                    # 处理静态图片
+                    resized_img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
+                    
+                    # 保存到缓冲区，保持原始格式
+                    if img.format == 'PNG' and img.mode in ('RGBA', 'LA'):
+                        resized_img.save(output_buffer, format='PNG', optimize=True)
+                    else:
+                        resized_img.save(output_buffer, format='JPEG', quality=95, optimize=True)
+                
+                # 获取压缩后的数据并转换为base64
+                compressed_data = output_buffer.getvalue()
+                print(f"\033[1;32m[成功]\033[0m 压缩图片: {os.path.basename(image_path)} ({original_width}x{original_height} -> {new_width}x{new_height})")
+                
+                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: {os.path.basename(image_path)}, 错误: {str(e)}")
+            return None
+            
     async def scan_new_emojis(self):
         """扫描新的表情包"""
         try:
             emoji_dir = "data/emoji"
             os.makedirs(emoji_dir, exist_ok=True)
 
-            # 获取所有jpg文件
+            # 获取所有支持的图片文件
-            files_to_process = [f for f in os.listdir(emoji_dir) if f.endswith('.jpg')]
+            files_to_process = [f for f in os.listdir(emoji_dir) if f.lower().endswith(('.jpg', '.jpeg', '.png', '.gif'))]
             
             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
-                    
-                # 读取图片数据
-                with open(image_path, 'rb') as f:
-                    image_data = f.read()
                 
-                # 将图片转换为base64
+                # 压缩图片并获取base64编码
-                image_base64 = base64.b64encode(image_data).decode('utf-8')
+                image_base64 = await self._compress_image(image_path)
+                if image_base64 is None:
+                    os.remove(image_path)
+                    continue
                 
                 # 获取表情包的情感标签
                 tag = await self._get_emoji_tag(image_base64)
                 if not tag == "skip":
-                # 准备数据库记录
+                    # 准备数据库记录
                     emoji_record = {
                         'filename': filename,
                         'path': image_path,
@@ -288,7 +351,6 @@ class EmojiManager:
                     print(f"标签: {tag}")
                 else:
                     print(f"\033[1;33m[警告]\033[0m 跳过表情包: {filename}")
-
                 
         except Exception as e:
             print(f"\033[1;31m[错误]\033[0m 扫描表情包失败: {str(e)}")