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129 lines
5.3 KiB
Python
129 lines
5.3 KiB
Python
import enum
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from typing import Any, cast
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from core.model_runtime.entities.message_entities import (AssistantPromptMessage, ImagePromptMessageContent,
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PromptMessage, SystemPromptMessage, TextPromptMessageContent,
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ToolPromptMessage, UserPromptMessage)
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from langchain.schema import AIMessage, BaseMessage, FunctionMessage, HumanMessage, SystemMessage
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from pydantic import BaseModel
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class PromptMessageFileType(enum.Enum):
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IMAGE = 'image'
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@staticmethod
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def value_of(value):
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for member in PromptMessageFileType:
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if member.value == value:
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return member
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raise ValueError(f"No matching enum found for value '{value}'")
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class PromptMessageFile(BaseModel):
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type: PromptMessageFileType
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data: Any
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class ImagePromptMessageFile(PromptMessageFile):
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class DETAIL(enum.Enum):
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LOW = 'low'
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HIGH = 'high'
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type: PromptMessageFileType = PromptMessageFileType.IMAGE
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detail: DETAIL = DETAIL.LOW
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class LCHumanMessageWithFiles(HumanMessage):
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# content: Union[str, List[Union[str, Dict]]]
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content: str
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files: list[PromptMessageFile]
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def lc_messages_to_prompt_messages(messages: list[BaseMessage]) -> list[PromptMessage]:
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prompt_messages = []
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for message in messages:
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if isinstance(message, HumanMessage):
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if isinstance(message, LCHumanMessageWithFiles):
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file_prompt_message_contents = []
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for file in message.files:
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if file.type == PromptMessageFileType.IMAGE:
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file = cast(ImagePromptMessageFile, file)
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file_prompt_message_contents.append(ImagePromptMessageContent(
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data=file.data,
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detail=ImagePromptMessageContent.DETAIL.HIGH
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if file.detail.value == "high" else ImagePromptMessageContent.DETAIL.LOW
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))
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prompt_message_contents = [TextPromptMessageContent(data=message.content)]
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prompt_message_contents.extend(file_prompt_message_contents)
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prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
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else:
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prompt_messages.append(UserPromptMessage(content=message.content))
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elif isinstance(message, AIMessage):
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message_kwargs = {
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'content': message.content
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}
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if 'function_call' in message.additional_kwargs:
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message_kwargs['tool_calls'] = [
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AssistantPromptMessage.ToolCall(
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id=message.additional_kwargs['function_call']['id'],
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type='function',
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function=AssistantPromptMessage.ToolCall.ToolCallFunction(
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name=message.additional_kwargs['function_call']['name'],
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arguments=message.additional_kwargs['function_call']['arguments']
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)
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)
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]
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prompt_messages.append(AssistantPromptMessage(**message_kwargs))
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elif isinstance(message, SystemMessage):
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prompt_messages.append(SystemPromptMessage(content=message.content))
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elif isinstance(message, FunctionMessage):
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prompt_messages.append(ToolPromptMessage(content=message.content, tool_call_id=message.name))
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return prompt_messages
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def prompt_messages_to_lc_messages(prompt_messages: list[PromptMessage]) -> list[BaseMessage]:
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messages = []
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for prompt_message in prompt_messages:
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if isinstance(prompt_message, UserPromptMessage):
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if isinstance(prompt_message.content, str):
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messages.append(HumanMessage(content=prompt_message.content))
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else:
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message_contents = []
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for content in prompt_message.content:
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if isinstance(content, TextPromptMessageContent):
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message_contents.append(content.data)
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elif isinstance(content, ImagePromptMessageContent):
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message_contents.append({
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'type': 'image',
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'data': content.data,
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'detail': content.detail.value
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})
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messages.append(HumanMessage(content=message_contents))
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elif isinstance(prompt_message, AssistantPromptMessage):
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message_kwargs = {
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'content': prompt_message.content
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}
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if prompt_message.tool_calls:
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message_kwargs['additional_kwargs'] = {
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'function_call': {
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'id': prompt_message.tool_calls[0].id,
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'name': prompt_message.tool_calls[0].function.name,
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'arguments': prompt_message.tool_calls[0].function.arguments
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}
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}
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messages.append(AIMessage(**message_kwargs))
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elif isinstance(prompt_message, SystemPromptMessage):
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messages.append(SystemMessage(content=prompt_message.content))
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elif isinstance(prompt_message, ToolPromptMessage):
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messages.append(FunctionMessage(name=prompt_message.tool_call_id, content=prompt_message.content))
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return messages
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