from langchain_core.documents import Document
from typing import Union
from langchain_core.messages import BaseMessage, HumanMessage, AIMessage


def fake_token_counter(messages: Union[list[BaseMessage], BaseMessage]) -> int:
    if isinstance(messages, list):
        return sum(len(message.content.split()) for message in messages)
    return len(messages.content.split())


def convert_list_context_source_to_str(contexts: list[Document]):
    formatted_str = ""
    for i, context in enumerate(contexts):
        formatted_str += f"Document index {i}:\nContent: {context.page_content}\n"
        formatted_str += "----------------------------------------------\n\n"
    return formatted_str


def convert_message(messages):
    list_message = []
    for message in messages:
        if message["type"] == "human":
            list_message.append(HumanMessage(content=message["content"]))
        else:
            list_message.append(AIMessage(content=message["content"]))
    return list_message