chore(api/core): apply ruff reformatting (#7624)
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@@ -33,12 +33,17 @@ class ToolEngine:
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"""
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Tool runtime engine take care of the tool executions.
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"""
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@staticmethod
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def agent_invoke(
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tool: Tool, tool_parameters: Union[str, dict],
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user_id: str, tenant_id: str, message: Message, invoke_from: InvokeFrom,
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tool: Tool,
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tool_parameters: Union[str, dict],
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user_id: str,
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tenant_id: str,
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message: Message,
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invoke_from: InvokeFrom,
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agent_tool_callback: DifyAgentCallbackHandler,
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trace_manager: Optional[TraceQueueManager] = None
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trace_manager: Optional[TraceQueueManager] = None,
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) -> tuple[str, list[tuple[MessageFile, bool]], ToolInvokeMeta]:
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"""
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Agent invokes the tool with the given arguments.
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@@ -47,40 +52,30 @@ class ToolEngine:
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if isinstance(tool_parameters, str):
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# check if this tool has only one parameter
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parameters = [
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parameter for parameter in tool.get_runtime_parameters() or []
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parameter
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for parameter in tool.get_runtime_parameters() or []
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if parameter.form == ToolParameter.ToolParameterForm.LLM
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]
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if parameters and len(parameters) == 1:
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tool_parameters = {
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parameters[0].name: tool_parameters
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}
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tool_parameters = {parameters[0].name: tool_parameters}
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else:
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raise ValueError(f"tool_parameters should be a dict, but got a string: {tool_parameters}")
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# invoke the tool
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try:
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# hit the callback handler
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agent_tool_callback.on_tool_start(
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tool_name=tool.identity.name,
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tool_inputs=tool_parameters
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)
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agent_tool_callback.on_tool_start(tool_name=tool.identity.name, tool_inputs=tool_parameters)
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meta, response = ToolEngine._invoke(tool, tool_parameters, user_id)
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response = ToolFileMessageTransformer.transform_tool_invoke_messages(
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messages=response,
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user_id=user_id,
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tenant_id=tenant_id,
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conversation_id=message.conversation_id
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messages=response, user_id=user_id, tenant_id=tenant_id, conversation_id=message.conversation_id
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)
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# extract binary data from tool invoke message
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binary_files = ToolEngine._extract_tool_response_binary(response)
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# create message file
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message_files = ToolEngine._create_message_files(
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tool_messages=binary_files,
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agent_message=message,
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invoke_from=invoke_from,
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user_id=user_id
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tool_messages=binary_files, agent_message=message, invoke_from=invoke_from, user_id=user_id
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)
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plain_text = ToolEngine._convert_tool_response_to_str(response)
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@@ -91,7 +86,7 @@ class ToolEngine:
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tool_inputs=tool_parameters,
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tool_outputs=plain_text,
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message_id=message.id,
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trace_manager=trace_manager
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trace_manager=trace_manager,
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)
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# transform tool invoke message to get LLM friendly message
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@@ -99,14 +94,10 @@ class ToolEngine:
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except ToolProviderCredentialValidationError as e:
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error_response = "Please check your tool provider credentials"
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agent_tool_callback.on_tool_error(e)
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except (
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ToolNotFoundError, ToolNotSupportedError, ToolProviderNotFoundError
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) as e:
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except (ToolNotFoundError, ToolNotSupportedError, ToolProviderNotFoundError) as e:
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error_response = f"there is not a tool named {tool.identity.name}"
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agent_tool_callback.on_tool_error(e)
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except (
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ToolParameterValidationError
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) as e:
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except ToolParameterValidationError as e:
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error_response = f"tool parameters validation error: {e}, please check your tool parameters"
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agent_tool_callback.on_tool_error(e)
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except ToolInvokeError as e:
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@@ -124,21 +115,20 @@ class ToolEngine:
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return error_response, [], ToolInvokeMeta.error_instance(error_response)
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@staticmethod
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def workflow_invoke(tool: Tool, tool_parameters: Mapping[str, Any],
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user_id: str,
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workflow_tool_callback: DifyWorkflowCallbackHandler,
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workflow_call_depth: int,
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thread_pool_id: Optional[str] = None
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) -> list[ToolInvokeMessage]:
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def workflow_invoke(
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tool: Tool,
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tool_parameters: Mapping[str, Any],
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user_id: str,
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workflow_tool_callback: DifyWorkflowCallbackHandler,
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workflow_call_depth: int,
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thread_pool_id: Optional[str] = None,
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) -> list[ToolInvokeMessage]:
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"""
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Workflow invokes the tool with the given arguments.
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"""
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try:
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# hit the callback handler
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workflow_tool_callback.on_tool_start(
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tool_name=tool.identity.name,
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tool_inputs=tool_parameters
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)
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workflow_tool_callback.on_tool_start(tool_name=tool.identity.name, tool_inputs=tool_parameters)
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if isinstance(tool, WorkflowTool):
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tool.workflow_call_depth = workflow_call_depth + 1
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@@ -159,21 +149,24 @@ class ToolEngine:
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except Exception as e:
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workflow_tool_callback.on_tool_error(e)
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raise e
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@staticmethod
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def _invoke(tool: Tool, tool_parameters: dict, user_id: str) \
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-> tuple[ToolInvokeMeta, list[ToolInvokeMessage]]:
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def _invoke(tool: Tool, tool_parameters: dict, user_id: str) -> tuple[ToolInvokeMeta, list[ToolInvokeMessage]]:
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"""
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Invoke the tool with the given arguments.
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"""
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started_at = datetime.now(timezone.utc)
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meta = ToolInvokeMeta(time_cost=0.0, error=None, tool_config={
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'tool_name': tool.identity.name,
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'tool_provider': tool.identity.provider,
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'tool_provider_type': tool.tool_provider_type().value,
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'tool_parameters': deepcopy(tool.runtime.runtime_parameters),
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'tool_icon': tool.identity.icon
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})
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meta = ToolInvokeMeta(
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time_cost=0.0,
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error=None,
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tool_config={
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"tool_name": tool.identity.name,
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"tool_provider": tool.identity.provider,
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"tool_provider_type": tool.tool_provider_type().value,
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"tool_parameters": deepcopy(tool.runtime.runtime_parameters),
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"tool_icon": tool.identity.icon,
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},
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)
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try:
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response = tool.invoke(user_id, tool_parameters)
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except Exception as e:
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@@ -184,20 +177,22 @@ class ToolEngine:
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meta.time_cost = (ended_at - started_at).total_seconds()
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return meta, response
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@staticmethod
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def _convert_tool_response_to_str(tool_response: list[ToolInvokeMessage]) -> str:
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"""
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Handle tool response
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"""
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result = ''
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result = ""
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for response in tool_response:
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if response.type == ToolInvokeMessage.MessageType.TEXT:
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result += response.message
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elif response.type == ToolInvokeMessage.MessageType.LINK:
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result += f"result link: {response.message}. please tell user to check it."
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elif response.type == ToolInvokeMessage.MessageType.IMAGE_LINK or \
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response.type == ToolInvokeMessage.MessageType.IMAGE:
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elif (
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response.type == ToolInvokeMessage.MessageType.IMAGE_LINK
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or response.type == ToolInvokeMessage.MessageType.IMAGE
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):
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result += "image has been created and sent to user already, you do not need to create it, just tell the user to check it now."
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elif response.type == ToolInvokeMessage.MessageType.JSON:
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result += f"tool response: {json.dumps(response.message, ensure_ascii=False)}."
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@@ -205,7 +200,7 @@ class ToolEngine:
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result += f"tool response: {response.message}."
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return result
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@staticmethod
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def _extract_tool_response_binary(tool_response: list[ToolInvokeMessage]) -> list[ToolInvokeMessageBinary]:
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"""
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@@ -214,52 +209,59 @@ class ToolEngine:
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result = []
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for response in tool_response:
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if response.type == ToolInvokeMessage.MessageType.IMAGE_LINK or \
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response.type == ToolInvokeMessage.MessageType.IMAGE:
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if (
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response.type == ToolInvokeMessage.MessageType.IMAGE_LINK
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or response.type == ToolInvokeMessage.MessageType.IMAGE
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):
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mimetype = None
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if response.meta.get('mime_type'):
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mimetype = response.meta.get('mime_type')
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if response.meta.get("mime_type"):
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mimetype = response.meta.get("mime_type")
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else:
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try:
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url = URL(response.message)
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extension = url.suffix
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guess_type_result, _ = guess_type(f'a{extension}')
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guess_type_result, _ = guess_type(f"a{extension}")
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if guess_type_result:
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mimetype = guess_type_result
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except Exception:
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pass
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if not mimetype:
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mimetype = 'image/jpeg'
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result.append(ToolInvokeMessageBinary(
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mimetype=response.meta.get('mime_type', 'image/jpeg'),
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url=response.message,
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save_as=response.save_as,
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))
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elif response.type == ToolInvokeMessage.MessageType.BLOB:
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result.append(ToolInvokeMessageBinary(
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mimetype=response.meta.get('mime_type', 'octet/stream'),
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url=response.message,
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save_as=response.save_as,
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))
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elif response.type == ToolInvokeMessage.MessageType.LINK:
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# check if there is a mime type in meta
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if response.meta and 'mime_type' in response.meta:
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result.append(ToolInvokeMessageBinary(
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mimetype=response.meta.get('mime_type', 'octet/stream') if response.meta else 'octet/stream',
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mimetype = "image/jpeg"
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result.append(
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ToolInvokeMessageBinary(
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mimetype=response.meta.get("mime_type", "image/jpeg"),
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url=response.message,
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save_as=response.save_as,
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))
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)
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)
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elif response.type == ToolInvokeMessage.MessageType.BLOB:
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result.append(
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ToolInvokeMessageBinary(
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mimetype=response.meta.get("mime_type", "octet/stream"),
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url=response.message,
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save_as=response.save_as,
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)
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)
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elif response.type == ToolInvokeMessage.MessageType.LINK:
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# check if there is a mime type in meta
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if response.meta and "mime_type" in response.meta:
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result.append(
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ToolInvokeMessageBinary(
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mimetype=response.meta.get("mime_type", "octet/stream")
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if response.meta
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else "octet/stream",
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url=response.message,
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save_as=response.save_as,
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)
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)
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return result
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@staticmethod
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def _create_message_files(
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tool_messages: list[ToolInvokeMessageBinary],
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agent_message: Message,
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invoke_from: InvokeFrom,
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user_id: str
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tool_messages: list[ToolInvokeMessageBinary], agent_message: Message, invoke_from: InvokeFrom, user_id: str
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) -> list[tuple[Any, str]]:
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"""
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Create message file
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@@ -270,29 +272,29 @@ class ToolEngine:
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result = []
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for message in tool_messages:
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file_type = 'bin'
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if 'image' in message.mimetype:
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file_type = 'image'
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elif 'video' in message.mimetype:
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file_type = 'video'
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elif 'audio' in message.mimetype:
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file_type = 'audio'
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elif 'text' in message.mimetype:
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file_type = 'text'
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elif 'pdf' in message.mimetype:
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file_type = 'pdf'
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elif 'zip' in message.mimetype:
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file_type = 'archive'
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file_type = "bin"
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if "image" in message.mimetype:
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file_type = "image"
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elif "video" in message.mimetype:
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file_type = "video"
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elif "audio" in message.mimetype:
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file_type = "audio"
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elif "text" in message.mimetype:
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file_type = "text"
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elif "pdf" in message.mimetype:
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file_type = "pdf"
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elif "zip" in message.mimetype:
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file_type = "archive"
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# ...
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message_file = MessageFile(
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message_id=agent_message.id,
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type=file_type,
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transfer_method=FileTransferMethod.TOOL_FILE.value,
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belongs_to='assistant',
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belongs_to="assistant",
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url=message.url,
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upload_file_id=None,
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created_by_role=('account'if invoke_from in [InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER] else 'end_user'),
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created_by_role=("account" if invoke_from in [InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER] else "end_user"),
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created_by=user_id,
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)
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@@ -300,11 +302,8 @@ class ToolEngine:
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db.session.commit()
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db.session.refresh(message_file)
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result.append((
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message_file.id,
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message.save_as
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))
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result.append((message_file.id, message.save_as))
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db.session.close()
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return result
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return result
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