初步重构llmrequest

src/llm_models/utils.py

@@ -0,0 +1,152 @@
+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