import functools


def create_trader(llm, memory, config):
    """Create the trader node with language support."""
    language = config["output_language"]
    language_prompts = {
        "en": "",
        "zh-tw": "Use Traditional Chinese as the output.",
        "zh-cn": "Use Simplified Chinese as the output.",
    }
    language_prompt = language_prompts.get(language, "")

    def trader_node(state, name):
        company_name = state["company_of_interest"]
        investment_plan = state["investment_plan"]
        market_research_report = state["market_report"]
        sentiment_report = state["sentiment_report"]
        news_report = state["news_report"]
        fundamentals_report = state["fundamentals_report"]

        curr_situation = f"{market_research_report}\n\n{sentiment_report}\n\n{news_report}\n\n{fundamentals_report}"
        past_memories = memory.get_memories(curr_situation, n_matches=2)

        past_memory_str = ""
        if past_memories:
            for i, rec in enumerate(past_memories, 1):
                past_memory_str += rec["recommendation"] + "\n\n"
        else:
            past_memory_str = "No past memories found."

        context = {
            "role": "user",
            "content": f"""
                Based on a comprehensive analysis by a team of analysts, here is an investment plan tailored for {company_name}. 
                This plan incorporates insights from current technical market trends, macroeconomic indicators, and social media sentiment. 
                Use this plan as a foundation for evaluating your next trading decision.
                Proposed Investment Plan: {investment_plan}
                Leverage these insights to make an informed and strategic decision.
            """,
        }

        messages = [
            {
                "role": "system",
                "content": f"""
                            You are a trading agent analyzing market data to make investment decisions. Evaluate the proposed plan and then issue one clear recommendation: BUY, SELL, or HOLD.
                            
                            Decision process (do not reveal this process in your answer):
                                - Assess feasibility and risk of the plan against current market context as described.
                                - Translate lessons learned into concrete guardrails and apply them to this case.
                                - Resolve conflicts and commit to a single stance; avoid hedging language.

                            Output rules:                  
                                - Provide a concise rationale tied specifically to the proposed plan and applied lessons.
                                - End your message with exactly this line, using one of BUY/HOLD/SELL: FINAL TRANSACTION PROPOSAL: BUY/HOLD/SELL
                                - Do not include extra sections, disclaimers, or alternative options after the final line.
                                
                            Lessons from past decisions to apply now: {past_memory_str}
                            
                            Output language: ***{language_prompt}***
                        """,
            },
            context,
        ]

        result = llm.invoke(messages)

        return {
            "messages": [result],
            "trader_investment_plan": result.content,
            "sender": name,
        }

    return functools.partial(trader_node, name="Trader")