refactor: Update langflow schema message module to use ChatPromptTemplate for generating prompt template
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1 changed files with 9 additions and 5 deletions
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@ -1,5 +1,5 @@
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from datetime import datetime, timezone
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from typing import Annotated, Any, AsyncIterator, Iterator, Optional, List
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from typing import Annotated, Any, AsyncIterator, Iterator, List, Optional
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from fastapi.encoders import jsonable_encoder
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from langchain_core.load import load
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@ -7,11 +7,16 @@ from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, System
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from langchain_core.prompt_values import ImagePromptValue
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from langchain_core.prompts import BaseChatPromptTemplate, ChatPromptTemplate, PromptTemplate
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from langchain_core.prompts.image import ImagePromptTemplate
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from loguru import logger
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from pydantic import BeforeValidator, ConfigDict, Field, field_serializer, field_validator
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from langflow.base.prompts.utils import dict_values_to_string
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from langflow.schema.data import Data
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from langflow.schema.image import Image, get_file_paths, is_image_file
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from langflow.base.prompts.utils import dict_values_to_string
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from langflow.schema.data import Data
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from langflow.schema.image import Image, get_file_paths, is_image_file
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from loguru import logger
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from pydantic import BeforeValidator, ConfigDict, Field, field_serializer, field_validator
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def _timestamp_to_str(timestamp: datetime) -> str:
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@ -172,8 +177,7 @@ class Message(Data):
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if isinstance(value, cls):
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content_dicts = await value.get_file_content_dicts()
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contents.extend(content_dicts)
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prompt_template = ChatPromptTemplate.from_messages([HumanMessage(content=contents)])
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prompt_template = ChatPromptTemplate.from_messages([HumanMessage(content=contents)]) # type: ignore
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instance.prompt = jsonable_encoder(prompt_template.to_json())
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instance.messages = instance.prompt.get("kwargs", {}).get("messages", [])
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return instance
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return instance
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