from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
import time
import json


def create_fundamentals_analyst(llm, toolkit):
    def fundamentals_analyst_node(state):
        current_date = state["trade_date"]
        ticker = state["company_of_interest"]
        company_name = state["company_of_interest"]

        if toolkit.config["online_tools"]:
            tools = [toolkit.get_fundamentals_from_llm]
        else:
            tools = [
                toolkit.get_finnhub_company_insider_sentiment,
                toolkit.get_finnhub_company_insider_transactions,
                toolkit.get_simfin_balance_sheet,
                toolkit.get_simfin_cashflow,
                toolkit.get_simfin_income_stmt,
            ]

        system_message = (
            "You are a researcher tasked with analyzing fundamental information over the past week about a company. "
            "Please write a comprehensive report of the company's fundamental information such as "
            "financial documents, company profile, basic company financials, company financial history, "
            "insider sentiment and insider transactions to gain a full view of the company's fundamental information to inform traders. "
            "Make sure to include as much detail as possible. "
            "Do not simply state the trends are mixed. "
            "Provide detailed and finegrained analysis and insights that may help traders make decisions. "
            "Make sure to append a Markdown table at the end of the report to organize key points in the report, "
            "organized and easy to read.",
        )

        prompt = ChatPromptTemplate.from_messages(
            [
                (
                    "system",
                    "You are a helpful AI assistant, collaborating with other assistants."
                    " Use the provided tools to progress towards answering the question."
                    " If you are unable to fully answer, that's OK; another assistant with different tools"
                    " will help where you left off. Execute what you can to make progress."
                    " If you or any other assistant has the FINAL TRANSACTION PROPOSAL: **BUY/HOLD/SELL** or deliverable,"
                    " prefix your response with FINAL TRANSACTION PROPOSAL: **BUY/HOLD/SELL** so the team knows to stop."
                    " You have access to the following tools: {tool_names}.\n{system_message}"
                    "For your reference, the current date is {current_date}. The company we want to look at is {ticker}",
                ),
                MessagesPlaceholder(variable_name="messages"),
            ]
        )

        prompt = prompt.partial(system_message=system_message)
        prompt = prompt.partial(tool_names=", ".join([tool.name for tool in tools]))
        prompt = prompt.partial(current_date=current_date)
        prompt = prompt.partial(ticker=ticker)

        chain = prompt | llm.bind_tools(tools)

        result = chain.invoke(state["messages"])

        report = ""

        if len(result.tool_calls) == 0:
            report = result.content

        return {
            "messages": [result],
            "fundamentals_report": report,
        }

    return fundamentals_analyst_node