# flake8: noqa
from langchain.chains.prompt_selector import ConditionalPromptSelector, is_chat_model
from langchain_core.prompts.chat import (
AIMessagePromptTemplate,
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from langchain_core.prompts.prompt import PromptTemplate
DEFAULT_REFINE_PROMPT_TMPL = (
"The original question is as follows: {question}\n"
"We have provided an existing answer: {existing_answer}\n"
"We have the opportunity to refine the existing answer "
"(only if needed) with some more context below.\n"
"------------\n"
"{context_str}\n"
"------------\n"
"Given the new context, refine the original answer to better "
"answer the question. "
"If the context isn't useful, return the original answer."
)
DEFAULT_REFINE_PROMPT = PromptTemplate.from_template(DEFAULT_REFINE_PROMPT_TMPL)
refine_template = (
"We have the opportunity to refine the existing answer "
"(only if needed) with some more context below.\n"
"------------\n"
"{context_str}\n"
"------------\n"
"Given the new context, refine the original answer to better "
"answer the question. "
"If the context isn't useful, return the original answer."
)
CHAT_REFINE_PROMPT = ChatPromptTemplate.from_messages(
[
("human", "{question}"),
("ai", "{existing_answer}"),
("human", refine_template),
]
)
REFINE_PROMPT_SELECTOR = ConditionalPromptSelector(
default_prompt=DEFAULT_REFINE_PROMPT,
conditionals=[(is_chat_model, CHAT_REFINE_PROMPT)],
)
DEFAULT_TEXT_QA_PROMPT_TMPL = (
"Context information is below. \n"
"------------\n"
"{context_str}\n"
"------------\n"
"Given the context information and not prior knowledge, "
"answer the question: {question}\n"
)
DEFAULT_TEXT_QA_PROMPT = PromptTemplate.from_template(DEFAULT_TEXT_QA_PROMPT_TMPL)
chat_qa_prompt_template = (
"Context information is below.\n"
"------------\n"
"{context_str}\n"
"------------\n"
"Given the context information and not prior knowledge, "
"answer any questions"
)
CHAT_QUESTION_PROMPT = ChatPromptTemplate.from_messages(
[
("system", chat_qa_prompt_template),
("human", "{question}"),
]
)
QUESTION_PROMPT_SELECTOR = ConditionalPromptSelector(
default_prompt=DEFAULT_TEXT_QA_PROMPT,
conditionals=[(is_chat_model, CHAT_QUESTION_PROMPT)],
)