import os
import asyncio
from langchain_openai import ChatOpenAI
from langchain.tools import tool
from deepagents import create_deep_agent
from deepagents.backends import CompositeBackend, LocalShellBackend, FilesystemBackend
from langchain.agents import create_agent

# --- LLM configuration (OpenRouter) ---
llm = ChatOpenAI(
    model="openai/gpt-oss-20b:free",
    base_url="https://openrouter.ai/api/v1",
    api_key=os.getenv("OPENAI_API_KEY"),
    temperature=0.7,
)

# --- Backend for deepagents ---
backend = CompositeBackend([
    LocalShellBackend(workspace_dir="./workspace"),
    FilesystemBackend(),
])

# --- Tool with sub‑agent that returns a price table ---
@tool
def get_price(product: str, city: str) -> str:
    """Retrieve price for product in city. Returns a Markdown table:
    | Продукт | Цена (руб.) | Магазин |
    """
    # Sub‑agent to generate a realistic price table
    sub_llm = ChatOpenAI(
        model="openai/gpt-oss-20b:free",
        base_url="https://openrouter.ai/api/v1",
        api_key=os.getenv("OPENAI_API_KEY"),
        temperature=0.0,
    )
    sub_agent = create_agent(
        model=sub_llm,
        tools=[],
        system_prompt=f"Generate a realistic price for {product} in {city}. Return the result as a Markdown table with columns Продукт, Цена (руб.), Магазин.",
    )
    # Ask sub‑agent to produce the table
    res = sub_agent.invoke(
        {"messages": [{"role": "user", "content": "Provide the price table"}]}
    )
    return res["messages"][-1]["content"]

# --- Main hierarchical agent ---
main_agent = create_deep_agent(
    model=llm,
    tools=[get_price],
    backend=backend,
    system_prompt="Ты помощник по планированию покупок. Принимаешь список продуктов, узнаёшь цены и считаешь итоговую стоимость.",
)

async def main():
    question = "Помоги составить список покупок: молоко, хлеб, яблоки. Я нахожусь в Казани."
    result = await main_agent.ainvoke(
        {"messages": [{"role": "human", "content": question}]},
        {"configurable": {"thread_id": "shopping-session-1"}},
    )
    # Print all messages in order (tool calls and final answer)
    for msg in result["messages"]:
        if "content" in msg:
            print(msg["content"])
        if "tool_calls" in msg:
            for call in msg["tool_calls"]:
                print(f"{call['name']}({call['args']})")
    # Final answer (last message)
    print("\n--- Final answer ---")
    print(result["messages"][-1]["content"])

if __name__ == "__main__":
    asyncio.run(main())