import base64 import io from PIL import Image from src.common.logger import get_logger from .payload_content.message import Message, MessageBuilder logger = get_logger("消息压缩工具") def compress_messages( messages: list[Message], img_target_size: int = 1 * 1024 * 1024 ) -> list[Message]: """ 压缩消息列表中的图片 :param messages: 消息列表 :param img_target_size: 图片目标大小,默认1MB :return: 压缩后的消息列表 """ def reformat_static_image(image_data: bytes) -> bytes: """ 将静态图片转换为JPEG格式 :param image_data: 图片数据 :return: 转换后的图片数据 """ try: image = Image.open(image_data) if image.format and ( image.format.upper() in ["JPEG", "JPG", "PNG", "WEBP"] ): # 静态图像,转换为JPEG格式 reformated_image_data = io.BytesIO() image.save( reformated_image_data, format="JPEG", quality=95, optimize=True ) image_data = reformated_image_data.getvalue() return image_data except Exception as e: logger.error(f"图片转换格式失败: {str(e)}") return image_data def rescale_image( image_data: bytes, scale: float ) -> tuple[bytes, tuple[int, int] | None, tuple[int, int] | None]: """ 缩放图片 :param image_data: 图片数据 :param scale: 缩放比例 :return: 缩放后的图片数据 """ try: image = Image.open(image_data) # 原始尺寸 original_size = (image.width, image.height) # 计算新的尺寸 new_size = (int(original_size[0] * scale), int(original_size[1] * scale)) output_buffer = io.BytesIO() if getattr(image, "is_animated", False): # 动态图片,处理所有帧 frames = [] new_size = (new_size[0] // 2, new_size[1] // 2) # 动图,缩放尺寸再打折 for frame_idx in range(getattr(image, "n_frames", 1)): image.seek(frame_idx) new_frame = image.copy() new_frame = new_frame.resize(new_size, 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=image.info.get("duration", 100), loop=image.info.get("loop", 0), ) else: # 静态图片,直接缩放保存 resized_image = image.resize(new_size, Image.Resampling.LANCZOS) resized_image.save( output_buffer, format="JPEG", quality=95, optimize=True ) return output_buffer.getvalue(), original_size, new_size except Exception as e: logger.error(f"图片缩放失败: {str(e)}") import traceback logger.error(traceback.format_exc()) return image_data, None, None def compress_base64_image( base64_data: str, target_size: int = 1 * 1024 * 1024 ) -> str: original_b64_data_size = len(base64_data) # 计算原始数据大小 image_data = base64.b64decode(base64_data) # 先尝试转换格式为JPEG image_data = reformat_static_image(image_data) base64_data = base64.b64encode(image_data).decode("utf-8") if len(base64_data) <= target_size: # 如果转换后小于目标大小,直接返回 logger.info( f"成功将图片转为JPEG格式,编码后大小: {len(base64_data) / 1024:.1f}KB" ) return base64_data # 如果转换后仍然大于目标大小,进行尺寸压缩 scale = min(1.0, target_size / len(base64_data)) image_data, original_size, new_size = rescale_image(image_data, scale) base64_data = base64.b64encode(image_data).decode("utf-8") if original_size and new_size: logger.info( f"压缩图片: {original_size[0]}x{original_size[1]} -> {new_size[0]}x{new_size[1]}\n" f"压缩前大小: {original_b64_data_size / 1024:.1f}KB, 压缩后大小: {len(base64_data) / 1024:.1f}KB" ) return base64_data compressed_messages = [] for message in messages: if isinstance(message.content, list): # 检查content,如有图片则压缩 message_builder = MessageBuilder() for content_item in message.content: if isinstance(content_item, tuple): # 图片,进行压缩 message_builder.add_image_content( content_item[0], compress_base64_image( content_item[1], target_size=img_target_size ), ) else: message_builder.add_text_content(content_item) compressed_messages.append(message_builder.build()) else: compressed_messages.append(message) return compressed_messages