"""This example demonstrates MagenticOne performing a task given by the user and returning a final answer."""

import argparse
import asyncio
import json
import logging
import os

from autogen_core import EVENT_LOGGER_NAME, AgentId, AgentProxy, SingleThreadedAgentRuntime
from autogen_core.code_executor import CodeBlock
from autogen_core.models._model_client import ChatCompletionClient
from autogen_ext.code_executors.docker import DockerCommandLineCodeExecutor
from autogen_magentic_one.agents.coder import Coder, Executor
from autogen_magentic_one.agents.file_surfer import FileSurfer
from autogen_magentic_one.agents.multimodal_web_surfer import MultimodalWebSurfer
from autogen_magentic_one.agents.orchestrator import LedgerOrchestrator
from autogen_magentic_one.agents.user_proxy import UserProxy
from autogen_magentic_one.messages import RequestReplyMessage
from autogen_magentic_one.utils import LogHandler

# NOTE: Don't forget to 'playwright install --with-deps chromium'


async def confirm_code(code: CodeBlock) -> bool:
    response = await asyncio.to_thread(
        input,
        f"Executor is about to execute code (lang: {code.language}):\n{code.code}\n\nDo you want to proceed? (yes/no): ",
    )
    return response.lower() == "yes"


async def main(logs_dir: str, hil_mode: bool, save_screenshots: bool) -> None:
    # Create the runtime.
    runtime = SingleThreadedAgentRuntime()

    # Create an appropriate client
    client = ChatCompletionClient.load_component(json.loads(os.environ["CHAT_COMPLETION_CLIENT_CONFIG"]))
    assert client.model_info["family"] == "gpt-4o", "This example requires the gpt-4o model"

    async with DockerCommandLineCodeExecutor(work_dir=logs_dir) as code_executor:
        # Register agents.
        await Coder.register(runtime, "Coder", lambda: Coder(model_client=client))
        coder = AgentProxy(AgentId("Coder", "default"), runtime)

        await Executor.register(
            runtime,
            "Executor",
            lambda: Executor("A agent for executing code", executor=code_executor, confirm_execution=confirm_code),
        )
        executor = AgentProxy(AgentId("Executor", "default"), runtime)

        # Register agents.
        await MultimodalWebSurfer.register(runtime, "WebSurfer", MultimodalWebSurfer)
        web_surfer = AgentProxy(AgentId("WebSurfer", "default"), runtime)

        await FileSurfer.register(runtime, "file_surfer", lambda: FileSurfer(model_client=client))
        file_surfer = AgentProxy(AgentId("file_surfer", "default"), runtime)

        await UserProxy.register(
            runtime,
            "UserProxy",
            lambda: UserProxy(description="The current user interacting with you."),
        )
        user_proxy = AgentProxy(AgentId("UserProxy", "default"), runtime)

        agent_list = [web_surfer, coder, executor, file_surfer]
        if hil_mode:
            agent_list.append(user_proxy)

        await LedgerOrchestrator.register(
            runtime,
            "Orchestrator",
            lambda: LedgerOrchestrator(
                agents=agent_list,
                model_client=client,
                max_rounds=30,
                max_time=25 * 60,
                return_final_answer=True,
            ),
        )
        # orchestrator = AgentProxy(AgentId("Orchestrator", "default"), runtime)

        runtime.start()

        actual_surfer = await runtime.try_get_underlying_agent_instance(web_surfer.id, type=MultimodalWebSurfer)
        await actual_surfer.init(
            model_client=client,
            downloads_folder=logs_dir,
            start_page="https://www.bing.com",
            browser_channel="chromium",
            headless=True,
            debug_dir=logs_dir,
            to_save_screenshots=save_screenshots,
        )

        await runtime.send_message(RequestReplyMessage(), user_proxy.id)
        await runtime.stop_when_idle()


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Run MagenticOne example with log directory.")
    parser.add_argument("--logs_dir", type=str, required=True, help="Directory to store log files and downloads")
    parser.add_argument("--hil_mode", action="store_true", default=False, help="Run in human-in-the-loop mode")
    parser.add_argument(
        "--save_screenshots", action="store_true", default=False, help="Save additional browser screenshots to file"
    )

    args = parser.parse_args()

    # Ensure the log directory exists
    if not os.path.exists(args.logs_dir):
        os.makedirs(args.logs_dir)

    logger = logging.getLogger(EVENT_LOGGER_NAME)
    logger.setLevel(logging.INFO)
    log_handler = LogHandler(filename=os.path.join(args.logs_dir, "log.jsonl"))
    logger.handlers = [log_handler]
    asyncio.run(main(args.logs_dir, args.hil_mode, args.save_screenshots))