修改压缩

src/plugins/chat/utils_image.py

@@ -255,4 +255,73 @@ def compress_base64_image_by_scale(base64_data: str, scale: float = 0.5) -> str:
         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 
+        return base64_data 
+    
+async def compress_image( image_path: str, target_size: int = 0.8 * 1024 * 1024):
+    """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0.8MB
+    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

src/plugins/models/utils_model.py

@@ -7,7 +7,7 @@ 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
+from ..chat.utils_image import compress_base64_image_by_scale,compress_image
 
 driver = get_driver()
 config = driver.config