from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from tradingagents.agents.utils.agent_utils import (
    build_fundamentals_context,
    build_instrument_context,
    get_balance_sheet,
    get_cashflow,
    get_fundamentals,
    get_income_statement,
    get_insider_transactions,
    get_language_instruction,
)
from tradingagents.dataflows.config import get_config


def create_fundamentals_analyst(llm):
    def fundamentals_analyst_node(state):
        current_date = state["trade_date"]
        symbol = state["company_of_interest"]
        instrument_context = build_instrument_context(symbol)
        fundamentals_context = build_fundamentals_context(symbol)

        tools = [
            get_fundamentals,
            get_balance_sheet,
            get_cashflow,
            get_income_statement,
        ]

        system_message = (
            "You are a researcher tasked with analyzing fundamental information about the target trading instrument. "
            "Write a comprehensive report that helps traders understand intrinsic value drivers and key risks. "
            "Use as much concrete evidence as possible."
            + " 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."
            + " Use the available tools: `get_fundamentals` for overview data, `get_balance_sheet`, `get_cashflow`, and `get_income_statement` for financial statement detail when available."
            + f" {fundamentals_context}"
            + get_language_instruction(),
        )

        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}. {instrument_context}",
                ),
                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(instrument_context=instrument_context)

        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