让麦麦自己发的图片也能初始化picid等字段
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@@ -178,12 +178,24 @@ class ImageManager:
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"""获取普通图片描述,带查重和保存功能"""
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try:
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# 计算图片哈希
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# 确保base64字符串只包含ASCII字符
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if isinstance(image_base64, str):
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image_base64 = image_base64.encode("ascii", errors="ignore").decode("ascii")
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image_bytes = base64.b64decode(image_base64)
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image_hash = hashlib.md5(image_bytes).hexdigest()
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image_format = Image.open(io.BytesIO(image_bytes)).format.lower()
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# 检查图片是否已存在
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existing_image = Images.get_or_none(Images.emoji_hash == image_hash)
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if existing_image:
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# 更新计数
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if hasattr(existing_image, 'count') and existing_image.count is not None:
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existing_image.count += 1
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else:
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existing_image.count = 1
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existing_image.save()
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# 如果已有描述,直接返回
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if existing_image.description:
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return f"[图片:{existing_image.description}]"
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# 查询缓存的描述
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cached_description = self._get_description_from_db(image_hash, "image")
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@@ -192,6 +204,7 @@ class ImageManager:
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return f"[图片:{cached_description}]"
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# 调用AI获取描述
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image_format = Image.open(io.BytesIO(image_bytes)).format.lower()
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prompt = "请用中文描述这张图片的内容。如果有文字,请把文字都描述出来,请留意其主题,直观感受,输出为一段平文本,最多50字"
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description, _ = await self._llm.generate_response_for_image(prompt, image_base64, image_format)
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@@ -199,17 +212,7 @@ class ImageManager:
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logger.warning("AI未能生成图片描述")
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return "[图片(描述生成失败)]"
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# 再次检查缓存
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cached_description = self._get_description_from_db(image_hash, "image")
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if cached_description:
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logger.warning(f"虽然生成了描述,但是找到缓存图片描述 {cached_description}")
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return f"[图片:{cached_description}]"
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logger.debug(f"描述是{description}")
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# 根据配置决定是否保存图片
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# 生成文件名和路径
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# 保存图片和描述
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current_timestamp = time.time()
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filename = f"{int(current_timestamp)}_{image_hash[:8]}.{image_format}"
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image_dir = os.path.join(self.IMAGE_DIR, "image")
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@@ -221,26 +224,31 @@ class ImageManager:
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with open(file_path, "wb") as f:
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f.write(image_bytes)
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# 保存到数据库 (Images表)
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try:
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img_obj = Images.get((Images.emoji_hash == image_hash) & (Images.type == "image"))
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img_obj.path = file_path
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img_obj.description = description
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img_obj.timestamp = current_timestamp
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img_obj.save()
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except Images.DoesNotExist:
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# 保存到数据库,补充缺失字段
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if existing_image:
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existing_image.path = file_path
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existing_image.description = description
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existing_image.timestamp = current_timestamp
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if not hasattr(existing_image, 'image_id') or not existing_image.image_id:
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existing_image.image_id = str(uuid.uuid4())
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if not hasattr(existing_image, 'vlm_processed') or existing_image.vlm_processed is None:
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existing_image.vlm_processed = True
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existing_image.save()
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else:
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Images.create(
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image_id=str(uuid.uuid4()),
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emoji_hash=image_hash,
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path=file_path,
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type="image",
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description=description,
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timestamp=current_timestamp,
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vlm_processed=True,
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count=1,
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)
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logger.debug(f"保存图片元数据: {file_path}")
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except Exception as e:
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logger.error(f"保存图片文件或元数据失败: {str(e)}")
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# 保存描述到数据库 (ImageDescriptions表)
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# 保存描述到ImageDescriptions表
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self._save_description_to_db(image_hash, description, "image")
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return f"[图片:{description}]"
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