Merge pull request #590 from SuanmoSuanyangTechnology/fix/perceptual-filename
fix(multimodel): gate perceptual memory writes on provider support
This commit is contained in:
@@ -59,22 +59,22 @@ class MultimodalFormatStrategy(ABC):
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self.file = file
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@abstractmethod
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async def format_image(self, url: str, content: bytes | None = None) -> Dict[str, Any]:
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async def format_image(self, url: str, content: bytes | None = None) -> tuple[bool, Dict[str, Any]]:
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"""格式化图片"""
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pass
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@abstractmethod
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async def format_document(self, file_name: str, text: str) -> Dict[str, Any]:
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async def format_document(self, file_name: str, text: str) -> tuple[bool, Dict[str, Any]]:
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"""格式化文档"""
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pass
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@abstractmethod
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async def format_audio(self, file_type: str, url: str, content: bytes | None = None) -> Dict[str, Any]:
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async def format_audio(self, file_type: str, url: str, content: bytes | None = None) -> tuple[bool, Dict[str, Any]]:
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"""格式化音频"""
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pass
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@abstractmethod
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async def format_video(self, url: str) -> Dict[str, Any]:
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async def format_video(self, url: str) -> tuple[bool, Dict[str, Any]]:
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"""格式化视频"""
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pass
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@@ -82,16 +82,16 @@ class MultimodalFormatStrategy(ABC):
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class DashScopeFormatStrategy(MultimodalFormatStrategy):
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"""通义千问策略"""
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async def format_image(self, url: str, content: bytes | None = None) -> Dict[str, Any]:
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async def format_image(self, url: str, content: bytes | None = None) -> tuple[bool, Dict[str, Any]]:
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"""通义千问图片格式:{"type": "image", "image": "url"}"""
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return {
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return True, {
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"type": "image",
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"image": url
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}
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async def format_document(self, file_name: str, text: str) -> Dict[str, Any]:
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async def format_document(self, file_name: str, text: str) -> tuple[bool, Dict[str, Any]]:
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"""通义千问文档格式"""
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return {
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return True, {
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"type": "text",
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"text": f"<document name=\"{file_name}\">\n{text}\n</document>"
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}
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@@ -102,26 +102,26 @@ class DashScopeFormatStrategy(MultimodalFormatStrategy):
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url: str,
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content: bytes | None = None,
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transcription: Optional[str] = None
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) -> Dict[str, Any]:
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) -> tuple[bool, Dict[str, Any]]:
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"""
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通义千问音频格式
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- 原生支持: qwen-audio 系列
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- 其他模型: 需要转录为文本
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"""
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if transcription:
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return {
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return True, {
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"type": "text",
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"text": f"<audio url=\"{url}\">\ntext_transcription:{transcription}\n</audio>"
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}
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# 通义千问音频格式:{"type": "audio", "audio": "url"}
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return {
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return True, {
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"type": "audio",
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"audio": url
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}
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async def format_video(self, url: str) -> Dict[str, Any]:
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async def format_video(self, url: str) -> tuple[bool, Dict[str, Any]]:
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"""通义千问视频格式(qwen-vl 系列原生支持)"""
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return {
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return True, {
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"type": "video",
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"video": url
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}
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@@ -130,7 +130,7 @@ class DashScopeFormatStrategy(MultimodalFormatStrategy):
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class BedrockFormatStrategy(MultimodalFormatStrategy):
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"""Bedrock/Anthropic 策略"""
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async def format_image(self, url: str, content: bytes | None = None) -> Dict[str, Any]:
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async def format_image(self, url: str, content: bytes | None = None) -> tuple[bool, Dict[str, Any]]:
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"""
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Bedrock/Anthropic 格式: base64 编码
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{"type": "image", "source": {"type": "base64", "media_type": "...", "data": "..."}}
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@@ -153,7 +153,7 @@ class BedrockFormatStrategy(MultimodalFormatStrategy):
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logger.info(f"图片编码完成: media_type={media_type}, size={len(base64_data)}")
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return {
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return True, {
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"type": "image",
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"source": {
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"type": "base64",
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@@ -162,13 +162,13 @@ class BedrockFormatStrategy(MultimodalFormatStrategy):
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}
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}
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async def format_document(self, file_name: str, text: str) -> Dict[str, Any]:
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async def format_document(self, file_name: str, text: str) -> tuple[bool, Dict[str, Any]]:
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"""Bedrock/Anthropic 文档格式(需要 base64 编码)"""
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# Bedrock 文档需要 base64 编码
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text_bytes = text.encode('utf-8')
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base64_text = base64.b64encode(text_bytes).decode('utf-8')
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return {
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return True, {
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"type": "document",
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"source": {
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"type": "base64",
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@@ -182,24 +182,24 @@ class BedrockFormatStrategy(MultimodalFormatStrategy):
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url: str,
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content: bytes | None = None,
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transcription: Optional[str] = None
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) -> Dict[str, Any]:
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) -> tuple[bool, Dict[str, Any]]:
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"""
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Bedrock/Anthropic 音频格式
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不支持原生音频,必须转录为文本
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"""
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if transcription:
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return {
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return True, {
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"type": "text",
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"text": f"[音频转录]\n{transcription}"
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}
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return {
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return False, {
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"type": "text",
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"text": "[音频文件:Bedrock 不支持原生音频,请启用音频转文本功能]"
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}
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async def format_video(self, url: str) -> Dict[str, Any]:
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async def format_video(self, url: str) -> tuple[bool, Dict[str, Any]]:
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"""Bedrock/Anthropic 视频格式"""
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return {
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return False, {
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"type": "text",
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"text": f"<video url=\"{url}\">\n[视频文件,当前 provider 暂不支持]\n</video>"
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}
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@@ -208,18 +208,18 @@ class BedrockFormatStrategy(MultimodalFormatStrategy):
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class OpenAIFormatStrategy(MultimodalFormatStrategy):
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"""OpenAI 策略"""
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async def format_image(self, url: str, content: bytes | None = None) -> Dict[str, Any]:
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async def format_image(self, url: str, content: bytes | None = None) -> tuple[bool, Dict[str, Any]]:
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"""OpenAI 格式: {"type": "image_url", "image_url": {"url": "..."}}"""
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return {
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return True, {
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"type": "image_url",
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"image_url": {
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"url": url
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}
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}
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async def format_document(self, file_name: str, text: str) -> Dict[str, Any]:
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async def format_document(self, file_name: str, text: str) -> tuple[bool, Dict[str, Any]]:
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"""OpenAI 文档格式"""
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return {
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return True, {
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"type": "text",
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"text": f"<document name=\"{file_name}\">\n{text}\n</document>"
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}
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@@ -230,14 +230,14 @@ class OpenAIFormatStrategy(MultimodalFormatStrategy):
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url: str,
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content: bytes | None = None,
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transcription: Optional[str] = None
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) -> Dict[str, Any]:
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) -> tuple[bool, Dict[str, Any]]:
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"""
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OpenAI 音频格式
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- gpt-4o-audio 系列支持原生音频(需要 base64 编码)
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- 其他模型使用转录文本
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"""
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if transcription:
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return {
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return True, {
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"type": "text",
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"text": f"<audio url=\"{url}\">\n{transcription}\n</audio>"
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}
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@@ -266,7 +266,7 @@ class OpenAIFormatStrategy(MultimodalFormatStrategy):
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# supported_ext = {"wav", "mp3", "mp4", "ogg", "flac", "webm", "m4a", "wave", "x-m4a"}
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file_ext = "wav" if not file_ext else file_ext
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return {
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return True, {
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"type": "input_audio",
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"input_audio": {
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"data": f"data:;base64,{base64_audio}",
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@@ -275,14 +275,14 @@ class OpenAIFormatStrategy(MultimodalFormatStrategy):
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}
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except Exception as e:
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logger.error(f"下载音频失败: {e}")
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return {
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return False, {
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"type": "text",
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"text": f"[音频处理失败: {str(e)}]"
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}
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async def format_video(self, url: str) -> Dict[str, Any]:
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async def format_video(self, url: str) -> tuple[bool, Dict[str, Any]]:
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"""OpenAI 视频格式"""
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return {
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return True, {
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"type": "video_url",
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"video_url": {
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"url": url
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@@ -377,21 +377,25 @@ class MultimodalService:
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file.url = await self.get_file_url(file)
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try:
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if file.type == FileType.IMAGE and "vision" in self.capability:
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content = await self._process_image(file, strategy)
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is_support, content = await self._process_image(file, strategy)
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result.append(content)
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self.write_perceptual_memory(end_user_id, file.type, file.url, content)
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if is_support:
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self.write_perceptual_memory(end_user_id, file.type, file.url, content)
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elif file.type == FileType.DOCUMENT:
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content = await self._process_document(file, strategy)
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is_support, content = await self._process_document(file, strategy)
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result.append(content)
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self.write_perceptual_memory(end_user_id, file.type, file.url, content)
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if is_support:
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self.write_perceptual_memory(end_user_id, file.type, file.url, content)
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elif file.type == FileType.AUDIO and "audio" in self.capability:
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content = await self._process_audio(file, strategy)
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is_support, content = await self._process_audio(file, strategy)
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result.append(content)
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self.write_perceptual_memory(end_user_id, file.type, file.url, content)
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if is_support:
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self.write_perceptual_memory(end_user_id, file.type, file.url, content)
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elif file.type == FileType.VIDEO and "video" in self.capability:
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content = await self._process_video(file, strategy)
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is_support, content = await self._process_video(file, strategy)
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result.append(content)
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self.write_perceptual_memory(end_user_id, file.type, file.url, content)
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if is_support:
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self.write_perceptual_memory(end_user_id, file.type, file.url, content)
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else:
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logger.warning(f"不支持的文件类型: {file.type}")
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except Exception as e:
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@@ -424,7 +428,7 @@ class MultimodalService:
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if end_user_id and self.api_config:
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write_perceptual_memory.delay(end_user_id, self.api_config.model_dump(), file_type, file_url, file_message)
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async def _process_image(self, file: FileInput, strategy) -> Dict[str, Any]:
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async def _process_image(self, file: FileInput, strategy) -> tuple[bool, Dict[str, Any]]:
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"""
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处理图片文件
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@@ -440,12 +444,12 @@ class MultimodalService:
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return await strategy.format_image(file.url, content=file.get_content())
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except Exception as e:
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logger.error(f"处理图片失败: {e}", exc_info=True)
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return {
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return False, {
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"type": "text",
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"text": f"[图片处理失败: {str(e)}]"
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}
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async def _process_document(self, file: FileInput, strategy) -> Dict[str, Any]:
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async def _process_document(self, file: FileInput, strategy) -> tuple[bool, Dict[str, Any]]:
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"""
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处理文档文件(PDF、Word 等)
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@@ -457,7 +461,7 @@ class MultimodalService:
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Dict: 根据 provider 返回不同格式的文档内容
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"""
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if file.transfer_method == TransferMethod.REMOTE_URL:
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return {
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return True, {
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"type": "text",
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"text": f"<document url=\"{file.url}\">\n{await self._extract_document_text(file)}\n</document>"
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}
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@@ -475,7 +479,7 @@ class MultimodalService:
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# 使用策略格式化文档
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return await strategy.format_document(file_name, text)
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async def _process_audio(self, file: FileInput, strategy) -> Dict[str, Any]:
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async def _process_audio(self, file: FileInput, strategy) -> tuple[bool, Dict[str, Any]]:
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"""
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处理音频文件
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@@ -503,12 +507,12 @@ class MultimodalService:
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return await strategy.format_audio(file.file_type, file.url, file.get_content(), transcription)
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except Exception as e:
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logger.error(f"处理音频失败: {e}", exc_info=True)
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return {
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return False, {
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"type": "text",
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"text": f"[音频处理失败: {str(e)}]"
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}
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async def _process_video(self, file: FileInput, strategy) -> Dict[str, Any]:
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async def _process_video(self, file: FileInput, strategy) -> tuple[bool, Dict[str, Any]]:
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"""
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处理视频文件
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@@ -524,7 +528,7 @@ class MultimodalService:
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return await strategy.format_video(file.url)
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except Exception as e:
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logger.error(f"处理视频失败: {e}", exc_info=True)
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return {
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return False, {
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"type": "text",
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"text": f"[视频处理失败: {str(e)}]"
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}
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