#!/usr/bin/env python3
"""
带回调钩子的命令行工具 / Command-line tool with callback hooks

支持通过命令行参数配置回调钩子，实现任务中断和切换。

Configuration / 配置:
    Loads settings from .env file (if present).
    从 .env 文件加载配置（如果存在）。
"""

import argparse
import os
import sys
from dotenv import load_dotenv

# Load .env file for configuration
# 加载 .env 配置文件
load_dotenv()

from phone_agent import PhoneAgent, AgentConfig
from phone_agent.model import ModelConfig
from phone_agent.config import get_messages


def create_step_callback(max_steps: int | None = None, lang: str = "cn"):
    """创建步数限制回调"""
    if max_steps is None:
        return None

    def callback(result):
        if result.step_count >= max_steps:
            return "stop"
        return None

    return callback


def main():
    parser = argparse.ArgumentParser(
        description="Phone Agent with Callback Hooks",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog="""
Examples:
    # 基本用法（与 main.py 相同）
    python run_with_callbacks.py "打开微信"

    # 限制最大执行步数
    python run_with_callbacks.py "打开微信" --max-steps 5

    # 使用智谱 API
    python run_with_callbacks.py "打开微信" \\
        --base-url https://open.bigmodel.cn/api/paas/v4 \\
        --model autoglm-phone \\
        --apikey your-key

    # 交互模式（输入新任务可切换）
    python run_with_callbacks.py --interactive
        """
    )

    # 模型配置
    parser.add_argument("--base-url", default=os.getenv("PHONE_AGENT_BASE_URL", "http://localhost:8000/v1"), help="模型 API 地址")
    parser.add_argument("--model", default=os.getenv("PHONE_AGENT_MODEL", "autoglm-phone-9b"), help="模型名称")
    parser.add_argument("--apikey", default=os.getenv("PHONE_AGENT_API_KEY", "EMPTY"), help="API 密钥")

    # Agent 配置
    parser.add_argument("--max-steps", type=int, default=int(os.getenv("PHONE_AGENT_MAX_STEPS", "100")), help="最大执行步数")
    parser.add_argument("--device-id", default=os.getenv("PHONE_AGENT_DEVICE_ID"), help="设备 ID")
    parser.add_argument("--lang", choices=["cn", "en"], default=os.getenv("PHONE_AGENT_LANG", "cn"), help="语言")

    # 回调配置
    parser.add_argument("--callback-max-steps", type=int, help="回调强制中断的步数")
    parser.add_argument("--interactive", action="store_true", help="交互模式（支持动态切换任务）")

    # 任务参数
    parser.add_argument("task", nargs="?", help="要执行的任务")

    args = parser.parse_args()

    # 创建模型配置
    model_config = ModelConfig(
        base_url=args.base_url,
        model_name=args.model,
        api_key=args.apikey,
        lang=args.lang,
    )

    # 创建回调
    step_callback = create_step_callback(args.callback_max_steps, args.lang)

    # 交互模式回调
    if args.interactive:
        import threading
        import queue

        task_queue = queue.Queue()
        input_ready = threading.Event()

        def input_listener():
            """后台监听用户输入"""
            print("\n[交互模式] 在任务执行时可以输入：")
            print("  's' + Enter - 停止当前任务")
            print("  'n:新任务' + Enter - 切换到新任务")
            print("-" * 50)

            while True:
                try:
                    cmd = input().strip()
                    if cmd.lower() == 's':
                        task_queue.put("stop")
                    elif cmd.lower().startswith('n:'):
                        task_queue.put(cmd[2:])
                except (EOFError, KeyboardInterrupt):
                    break

        threading.Thread(target=input_listener, daemon=True).start()

        def interactive_callback(result):
            """交互式回调"""
            try:
                cmd = task_queue.get_nowait()
                if cmd == "stop":
                    return "stop"
                return cmd
            except queue.Empty:
                return None

        step_callback = interactive_callback

    # 创建 Agent 配置
    agent_config = AgentConfig(
        max_steps=args.max_steps,
        device_id=args.device_id,
        lang=args.lang,
        step_callback=step_callback,
    )

    # 创建 Agent
    agent = PhoneAgent(model_config=model_config, agent_config=agent_config)

    # 打印配置信息
    msgs = get_messages(args.lang)
    print("=" * 50)
    print("Phone Agent with Callback Hooks")
    print("=" * 50)
    print(f"Model: {args.model}")
    print(f"Base URL: {args.base_url}")
    print(f"Max Steps: {args.max_steps}")
    if args.callback_max_steps:
        print(f"Callback Max Steps: {args.callback_max_steps} (强制中断)")
    print("=" * 50)

    # 执行任务
    if args.task:
        print(f"\nTask: {args.task}\n")
        result = agent.run(args.task)
        print(f"\nResult: {result}")
    elif args.interactive:
        # 交互模式循环
        print("\n输入任务 (或 'quit' 退出):\n")
        while True:
            try:
                task = input("> ").strip()
                if task.lower() in ("quit", "exit", "q"):
                    break
                if not task:
                    continue

                print(f"\n执行: {task}\n")
                result = agent.run(task)
                print(f"\n结果: {result}\n")
                agent.reset()

            except KeyboardInterrupt:
                print("\n\nGoodbye!")
                break
    else:
        # 默认交互模式
        print("\n输入任务 (或 'quit' 退出):\n")
        while True:
            try:
                task = input("> ").strip()
                if task.lower() in ("quit", "exit", "q"):
                    break
                if not task:
                    continue

                result = agent.run(task)
                print(f"\n结果: {result}\n")
                agent.reset()

            except KeyboardInterrupt:
                print("\n\nGoodbye!")
                break


if __name__ == "__main__":
    main()