#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
固定翼飞行机器人 · 地面站（单文件版）
================================================
用法：把本文件复制到任何地方，然后运行：

    python ground_station.py

首次运行会自动：
  1. 检测并安装依赖（flask / flask-socketio / python-socketio）
  2. 在本文件旁边创建 gcs_app/（网页、静态库、飞机模拟器）
  3. 在本文件旁边创建 gcs_data/（缓存、黑匣子飞行记录、连接记忆）
  4. 启动服务端并自动打开浏览器

再次运行会直接复用已有文件；文件缺失时自动补全。

模拟器（没有真实飞机时测试用）：
    python gcs_app/plane_sim.py

作者：福鼎市初中生创客项目组（地面站部分）
"""

import io
import os
import sys
import time
import json
import base64
import socket
import zlib
import csv
import zipfile
import threading
import webbrowser
import subprocess
from datetime import datetime

# ============================================================
#  0. 路径与自举
# ============================================================
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
APP_DIR = os.path.join(BASE_DIR, 'gcs_app')      # 程序文件（网页/静态库）
DATA_DIR = os.path.join(BASE_DIR, 'gcs_data')    # 缓存与数据（黑匣子/记忆）

# 内嵌资源包（zip → zlib → base64）。见文件末尾。
# 注意：飞机模拟器 plane_sim.py 是独立文件，不内嵌。
EMBEDDED_ZIP = 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"
EMBEDDED_FILES = [
    'index.html', 'requirements.txt',
    'static/leaflet.css', 'static/leaflet.js', 'static/socket.io.min.js',
]


def ensure_deps():
    """检测依赖，缺失则自动 pip 安装（优先国内镜像加速）"""
    try:
        import flask  # noqa
        import flask_socketio  # noqa
        import socketio  # noqa
        return
    except ImportError:
        print("[依赖] 检测到缺少依赖，正在自动安装...")
        print("       若长时间无反应，请确认电脑已联网（需要从网络下载依赖包）")
        cmd = [sys.executable, '-m', 'pip', 'install', '-q',
               '--disable-pip-version-check',
               'flask', 'flask-socketio', 'python-socketio']
        ok = False
        try:
            subprocess.check_call(cmd)
            ok = True
        except Exception:
            # 换国内镜像再试一次（学校/家庭网络访问国外源常超时）
            print("[依赖] 默认源安装失败，尝试使用清华镜像源...")
            try:
                subprocess.check_call(cmd + ['-i', 'https://pypi.tuna.tsinghua.edu.cn/simple'])
                ok = True
            except Exception as e:
                print(f"[依赖] 安装失败：{e}")
        if ok:
            print("[依赖] 安装完成")
        else:
            print()
            print("[依赖] 自动安装失败。请按以下步骤手动安装：")
            print("   1. 打开命令行（开始菜单搜索 cmd）")
            print("   2. 输入：pip install flask flask-socketio python-socketio")
            print("      （网络慢可加镜像：pip install -i https://pypi.tuna.tsinghua.edu.cn/simple flask flask-socketio python-socketio）")
            print("   3. 装完后再双击 ground_station.py")
            try:
                input("按回车键关闭窗口...")
            except Exception:
                pass
            sys.exit(1)


def ensure_files():
    """检查程序文件，缺失或损坏时从内嵌包自动补全"""
    os.makedirs(APP_DIR, exist_ok=True)
    os.makedirs(os.path.join(APP_DIR, 'static'), exist_ok=True)
    os.makedirs(DATA_DIR, exist_ok=True)

    raw = zlib.decompress(base64.b64decode(EMBEDDED_ZIP))
    with zipfile.ZipFile(io.BytesIO(raw)) as zf:
        missing = []
        for name in zf.namelist():
            dest = os.path.join(APP_DIR, name)
            info = zf.getinfo(name)
            if (not os.path.exists(dest) or
                    os.path.getsize(dest) != info.file_size):
                missing.append(name)
        if missing:
            print(f"[文件] 检测到 {len(missing)} 个文件缺失或损坏，正在补全...")
            for name in missing:
                zf.extract(name, APP_DIR)
                print(f"[文件] 已生成 {os.path.join('gcs_app', name)}")
        else:
            print("[文件] 程序文件完整，直接使用")
    return missing


def find_free_port(preferred=5000, exclude=()):
    """端口被占用时自动向后找空闲端口（避开飞机协议端口）"""
    for port in range(preferred, preferred + 11):
        if port in exclude:
            continue
        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
            s.settimeout(0.3)
            if s.connect_ex(('127.0.0.1', port)) != 0:
                return port
    return preferred


# ============================================================
#  1. 服务端配置
# ============================================================
UDP_PORT = 8888        # 飞机 UDP 信标端口（发现用）
TCP_PORT = 5001        # 飞机 TCP 遥测/控制端口
HTTP_PORT = find_free_port(5000, exclude=(TCP_PORT,))   # 网页端口（自动避让，绝不用5001）
PLANE_TIMEOUT = 5      # 飞机信标超时（秒）
LINK_TIMEOUT = 3       # 链路超时（秒），超过则判定信号中断

FLIGHT_LOG_DIR = os.path.join(DATA_DIR, 'flight_logs')   # 黑匣子CSV目录
last_device_file = os.path.join(DATA_DIR, '.last_device')  # 连接记忆

# 【关键】先确保依赖装好，再导入 flask 系列（否则未装依赖的电脑会直接闪退）
ensure_deps()

from flask import Flask, send_from_directory, request
from flask_socketio import SocketIO, emit

app = Flask(__name__, static_folder=APP_DIR, static_url_path='')
app.config['SECRET_KEY'] = 'gcs_2026'
socketio = SocketIO(app, cors_allowed_origins="*", async_mode='threading')

# ============================================================
#  2. 全局状态
# ============================================================
discovered = {}          # {plane_id: {id, name, has_410, ip, port, last_seen}}
pairing = None           # {'id', 'ip', 'port', 'start'}
connected = None         # {'id', 'name', 'has_410', 'ip'}
plane_conn = None        # TCP socket 对象
plane_lock = threading.Lock()
last_plane_data_time = 0

blackbox_file = None
blackbox_writer = None
blackbox_lock = threading.Lock()

server_release_armed = False
current_waypoint = -1
last_device_id = None

# ========== 访问口令（可选，默认关闭） ==========
# 开启后：同一WiFi下的其他浏览器必须输入口令才能控制飞机。
# 口令保存在 gcs_data/access_pwd.txt，重启后仍然生效。
ACCESS_PWD_FILE = os.path.join(DATA_DIR, 'access_pwd.txt')
authed_sids = set()      # 已通过口令认证的 session


def load_access_pwd():
    try:
        if os.path.exists(ACCESS_PWD_FILE):
            with open(ACCESS_PWD_FILE, 'r', encoding='utf-8') as f:
                return f.read().strip() or None
    except Exception:
        pass
    return None


ACCESS_PWD = load_access_pwd()


def is_authorized():
    """控制类指令的鉴权：未开启口令时全部放行"""
    return ACCESS_PWD is None or request.sid in authed_sids


def load_last_device():
    global last_device_id
    if os.path.exists(last_device_file):
        with open(last_device_file, 'r', encoding='utf-8') as f:
            last_device_id = f.read().strip()


def save_last_device(pid):
    try:
        with open(last_device_file, 'w', encoding='utf-8') as f:
            f.write(pid)
    except Exception:
        pass


def send_to_plane(msg):
    """向飞机发送 JSON 消息"""
    with plane_lock:
        if plane_conn is None:
            return False
        try:
            data = (json.dumps(msg) + '\n').encode('utf-8')
            plane_conn.sendall(data)
            return True
        except Exception:
            return False


def broadcast_to_browser(event, data):
    socketio.emit(event, data)


# ============================================================
#  3. 黑匣子（飞行数据CSV记录）
# ============================================================
BLACKBOX_FIELDS = ['time', 'roll', 'pitch', 'yaw', 'alt', 'speed', 'lat', 'lng',
                   'battery_v', 'battery_pct', 'current', 'gps_sats', 'payload',
                   'mode', 'link_rssi', 'throttle', 'elevator', 'rudder', 'current_wp']


def blackbox_start(plane_id, plane_name):
    global blackbox_file, blackbox_writer, server_release_armed, current_waypoint
    os.makedirs(FLIGHT_LOG_DIR, exist_ok=True)
    ts = datetime.now().strftime('%Y%m%d_%H%M%S')
    safe_name = plane_id.replace('/', '_')
    path = os.path.join(FLIGHT_LOG_DIR, f'flight_{ts}_{safe_name}.csv')
    blackbox_file = open(path, 'w', newline='', encoding='utf-8')
    blackbox_writer = csv.DictWriter(blackbox_file, fieldnames=BLACKBOX_FIELDS, extrasaction='ignore')
    blackbox_writer.writeheader()
    server_release_armed = False
    current_waypoint = -1
    print(f"[黑匣子] 开始记录: {path}")
    return path


def blackbox_write(telemetry):
    with blackbox_lock:
        if blackbox_writer is None:
            return
        row = dict(telemetry)
        row['time'] = datetime.now().strftime('%H:%M:%S.%f')[:-3]
        row['current_wp'] = current_waypoint
        try:
            blackbox_writer.writerow(row)
            blackbox_file.flush()
        except Exception:
            pass


def blackbox_stop():
    global blackbox_file, blackbox_writer
    with blackbox_lock:
        if blackbox_file:
            try:
                blackbox_file.close()
                print("[黑匣子] 记录已保存")
            except Exception:
                pass
        blackbox_file = None
        blackbox_writer = None


# ============================================================
#  4. UDP 发现线程
# ============================================================
def udp_listener():
    sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
    sock.bind(('0.0.0.0', UDP_PORT))
    sock.settimeout(1.0)
    print(f"[UDP] 监听飞机信标端口 {UDP_PORT}")
    while True:
        try:
            data, addr = sock.recvfrom(1024)
            msg = json.loads(data.decode('utf-8'))
            pid = msg.get('id', 'unknown')
            discovered[pid] = {
                'id': pid,
                'name': msg.get('name', pid),
                'has_410': msg.get('has_410', False),
                'ip': addr[0],
                'port': addr[1],
                'last_seen': time.time()
            }
            if last_device_id and pid == last_device_id and connected is None and pairing is None:
                start_pairing(pid)
        except socket.timeout:
            pass
        except Exception:
            pass
        now = time.time()
        expired = [pid for pid, p in discovered.items() if now - p['last_seen'] > PLANE_TIMEOUT]
        for pid in expired:
            del discovered[pid]


# ============================================================
#  5. 配对逻辑
# ============================================================
def start_pairing(pid):
    global pairing
    if pid not in discovered:
        return False
    plane = discovered[pid]
    try:
        sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        sock.sendto(json.dumps({'type': 'pairing_request'}).encode(),
                    (plane['ip'], plane.get('port', UDP_PORT)))
        sock.close()
    except Exception:
        pass
    pairing = {'id': pid, 'ip': plane['ip'], 'port': plane.get('port', UDP_PORT), 'start': time.time()}
    broadcast_to_browser('pairing_request', {'id': pid, 'name': plane['name']})
    print(f"[配对] 向 {plane['name']}({pid}) 发送配对请求，等待用户确认")

    def timeout():
        global pairing
        time.sleep(30)
        if pairing and pairing['id'] == pid:
            pairing = None
            broadcast_to_browser('pairing_timeout', {'id': pid})
            print(f"[配对] {pid} 超时")
    threading.Thread(target=timeout, daemon=True).start()
    return True


def confirm_pairing(pid):
    global pairing, connected, plane_conn
    if not pairing or pairing['id'] != pid:
        return False
    plane = discovered.get(pid)
    if not plane:
        return False
    try:
        sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        sock.sendto(json.dumps({'type': 'pairing_confirmed', 'tcp_port': TCP_PORT}).encode(),
                    (plane['ip'], plane.get('port', UDP_PORT)))
        sock.close()
    except Exception:
        pass
    pairing = None
    broadcast_to_browser('pairing_confirmed', {'id': pid, 'name': plane['name']})
    save_last_device(pid)
    print(f"[配对] {plane['name']}({pid}) 已确认，等待TCP连接...")
    return True


def cancel_pairing(pid):
    global pairing
    if not pairing or pairing['id'] != pid:
        return False
    plane = discovered.get(pid)
    if plane:
        try:
            sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
            sock.sendto(json.dumps({'type': 'pairing_cancelled'}).encode(),
                        (plane['ip'], plane.get('port', UDP_PORT)))
            sock.close()
        except Exception:
            pass
    pairing = None
    broadcast_to_browser('pairing_cancelled', {'id': pid})
    print(f"[配对] {pid} 已取消")
    return True


# ============================================================
#  6. TCP 飞机连接线程
# ============================================================
def tcp_server():
    global plane_conn, connected
    server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
    server.bind(('0.0.0.0', TCP_PORT))
    server.listen(1)
    server.settimeout(1.0)
    print(f"[TCP] 等待飞机连接端口 {TCP_PORT}")
    while True:
        try:
            conn, addr = server.accept()
        except socket.timeout:
            continue
        with plane_lock:
            if plane_conn:
                conn.close()
                continue
            plane_conn = conn
        conn.settimeout(1.0)
        print(f"[TCP] 飞机连接来自 {addr}")
        try:
            buf = b''
            while b'\n' not in buf:
                chunk = conn.recv(256)
                if not chunk:
                    break
                buf += chunk
            if buf:
                # 按行切分：第一行是握手hello，其余是粘包提前到达的遥测（不能丢）
                lines = buf.decode('utf-8').split('\n')
                hello_raw = lines[0].strip()
                if hello_raw:
                    hello = json.loads(hello_raw)
                    pid = hello.get('id', 'unknown')
                    connected = {
                        'id': pid,
                        'name': hello.get('name', pid),
                        'has_410': hello.get('has_410', False),
                        'cam_port': hello.get('cam_port'),  # 可选MJPEG图传端口，无则不启用摄像头模式
                        'ip': addr[0]
                    }
                    save_last_device(pid)
                    blackbox_start(pid, connected['name'])
                    broadcast_to_browser('plane_connected', connected)
                    print(f"[TCP] 飞机 {connected['name']}({pid}) 已连接")
                # 粘包剩余行立即处理，不让遥测循环从空buf开始
                extra = '\n'.join(lines[1:]).encode('utf-8')
                while b'\n' in extra:
                    line, extra = extra.split(b'\n', 1)
                    if line.strip():
                        try:
                            handle_plane_message(json.loads(line.decode('utf-8')))
                        except Exception:
                            pass
                buf = extra
            else:
                buf = b''
        except Exception as e:
            print(f"[TCP] 握手失败: {e}")
            buf = b''
        global last_plane_data_time
        last_plane_data_time = time.time()
        buf = b''
        while True:
            try:
                chunk = conn.recv(4096)
                if not chunk:
                    break
                last_plane_data_time = time.time()
                buf += chunk
                while b'\n' in buf:
                    line, buf = buf.split(b'\n', 1)
                    if line.strip():
                        try:
                            msg = json.loads(line.decode('utf-8'))
                            handle_plane_message(msg)
                        except Exception:
                            pass
            except socket.timeout:
                if time.time() - last_plane_data_time > LINK_TIMEOUT:
                    print(f"[链路] 超过{LINK_TIMEOUT}秒未收到数据，判定信号中断")
                    break
                continue
            except Exception:
                break
        blackbox_stop()
        with plane_lock:
            plane_conn = None
        disconnected_name = connected['name'] if connected else '未知'
        connected = None
        is_link_lost = (time.time() - last_plane_data_time) > LINK_TIMEOUT
        if is_link_lost:
            broadcast_to_browser('link_lost', {'name': disconnected_name, 'reason': 'timeout'})
            print(f"[链路] 飞机 {disconnected_name} 信号中断（超时）")
        else:
            broadcast_to_browser('plane_disconnected', {'name': disconnected_name})
            print(f"[TCP] 飞机 {disconnected_name} 断开")
        try:
            conn.close()
        except Exception:
            pass


def handle_plane_message(msg):
    global current_waypoint
    mtype = msg.get('type')
    if mtype == 'telemetry':
        msg['sv_ts'] = int(time.time() * 1000)  # 服务端接收时间戳
        blackbox_write(msg)
        broadcast_to_browser('telemetry', msg)
    elif mtype == 'log':
        broadcast_to_browser('plane_log', msg)
    elif mtype == 'payload_status':
        broadcast_to_browser('payload_status', msg)
    elif mtype == 'released':
        broadcast_to_browser('released', msg)
    elif mtype == 'waypoint_reached':
        current_waypoint = msg.get('index', current_waypoint)
        broadcast_to_browser('waypoint_reached', msg)
    elif mtype == 'wp_progress':
        current_waypoint = msg.get('current', current_waypoint)
        broadcast_to_browser('wp_progress', msg)


# ============================================================
#  7. HTTP 路由
# ============================================================
@app.route('/')
def index():
    return send_from_directory(APP_DIR, 'index.html')


@app.route('/static/<path:filename>')
def static_files(filename):
    return send_from_directory(os.path.join(APP_DIR, 'static'), filename)


@app.route('/api/flights')
def api_flights():
    """黑匣子飞行记录列表"""
    files = []
    if os.path.isdir(FLIGHT_LOG_DIR):
        for f in sorted(os.listdir(FLIGHT_LOG_DIR), reverse=True):
            if f.endswith('.csv'):
                p = os.path.join(FLIGHT_LOG_DIR, f)
                try:
                    files.append({
                        'name': f,
                        'size': os.path.getsize(p),
                        'time': datetime.fromtimestamp(os.path.getmtime(p)).strftime('%Y-%m-%d %H:%M:%S'),
                    })
                except Exception:
                    pass
    return {'flights': files}


@app.route('/api/flights/<path:filename>')
def api_flight_file(filename):
    """下载某次飞行记录CSV"""
    return send_from_directory(FLIGHT_LOG_DIR, filename)


# ============================================================
#  8. SocketIO 浏览器事件
# ============================================================
@socketio.on('connect')
def on_connect():
    emit('status', {
        'connected': connected is not None,
        'plane': connected,
        'pairing': pairing,
        'discovered': list(discovered.values()),
        'release_armed': server_release_armed,
        'access_pwd': ACCESS_PWD is not None,
    })


@socketio.on('auth')
def on_auth(data):
    """输入访问口令（前端在开启口令后自动发送）"""
    if not ACCESS_PWD:
        authed_sids.add(request.sid)
        emit('auth_result', {'ok': True, 'enabled': False})
        return
    if data.get('pwd') == ACCESS_PWD:
        authed_sids.add(request.sid)
        emit('auth_result', {'ok': True, 'enabled': True})
        print("[安全] 浏览器已通过口令认证")
    else:
        emit('auth_result', {'ok': False, 'enabled': True})


@socketio.on('set_access_pwd')
def on_set_access_pwd(data):
    """设置/关闭访问口令（未开启时任何人可设；已开启需先认证）"""
    global ACCESS_PWD
    if ACCESS_PWD and request.sid not in authed_sids:
        socketio.emit('plane_log', {'level': 'WARN', 'msg': '未授权：无法修改访问口令'})
        return
    pwd = (data.get('pwd') or '').strip()
    if pwd:
        ACCESS_PWD = pwd
        try:
            with open(ACCESS_PWD_FILE, 'w', encoding='utf-8') as f:
                f.write(pwd)
        except Exception:
            pass
        authed_sids.clear()
        emit('auth_result', {'ok': True, 'enabled': True, 'msg': '访问口令已设置'})
        print("[安全] 访问口令已开启")
    else:
        ACCESS_PWD = None
        try:
            if os.path.exists(ACCESS_PWD_FILE):
                os.remove(ACCESS_PWD_FILE)
        except Exception:
            pass
        authed_sids.clear()
        emit('auth_result', {'ok': True, 'enabled': False, 'msg': '访问口令已关闭'})
        print("[安全] 访问口令已关闭")


@socketio.on('get_discovered')
def on_get_discovered():
    emit('discovered_list', list(discovered.values()))


@socketio.on('start_pairing')
def on_start_pairing(data):
    pid = data.get('id')
    if pid:
        start_pairing(pid)


@socketio.on('confirm_pairing')
def on_confirm_pairing(data):
    pid = data.get('id')
    if pid:
        confirm_pairing(pid)


@socketio.on('cancel_pairing')
def on_cancel_pairing(data):
    pid = data.get('id')
    if pid:
        cancel_pairing(pid)


@socketio.on('control')
def on_control(data):
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：控制被拒绝（请先输入访问口令）'})
        return
    if not send_to_plane({'type': 'control', **data}):
        # 控制发送失败（链路断开）时提示一次，避免静默丢指令
        emit('plane_log', {'level': 'WARN', 'msg': '控制指令发送失败：飞机链路可能已断开'})


@socketio.on('arm')
def on_arm():
    """解锁电机（真实飞控必须解锁后油门才输出）"""
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：操作被拒绝'})
        return
    print("[解锁] 请求解锁电机")
    send_to_plane({'type': 'arm', 'armed': True})


@socketio.on('disarm')
def on_disarm():
    """锁定电机（应急，切断动力输出）"""
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：操作被拒绝'})
        return
    print("[锁定] 请求锁定电机")
    send_to_plane({'type': 'arm', 'armed': False})


@socketio.on('disconnect_plane')
def on_disconnect_plane():
    """地面站主动断开飞机连接（重连/切换设备用）"""
    global plane_conn
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：操作被拒绝'})
        return
    with plane_lock:
        conn = plane_conn
        plane_conn = None
    if conn:
        try:
            conn.close()
            print("[TCP] 地面站主动断开飞机连接")
        except Exception:
            pass
    else:
        emit('plane_log', {'level': 'WARN', 'msg': '当前没有已连接的飞机'})


@socketio.on('arm_release')
def on_arm_release():
    global server_release_armed
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：操作被拒绝'})
        return
    server_release_armed = True
    print("[释放] 保险已开启")
    socketio.emit('release_armed_state', {'armed': True})


@socketio.on('disarm_release')
def on_disarm_release():
    global server_release_armed
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：操作被拒绝'})
        return
    server_release_armed = False
    print("[释放] 保险已关闭")
    socketio.emit('release_armed_state', {'armed': False})


@socketio.on('release')
def on_release():
    global server_release_armed
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：释放被拒绝'})
        return False
    if not server_release_armed:
        print("[释放] 拒绝：保险未开启")
        socketio.emit('plane_log', {'level': 'WARN', 'msg': '释放被拒绝：请先开启保险'})
        return False
    ok = send_to_plane({'type': 'release'})
    server_release_armed = False
    socketio.emit('release_armed_state', {'armed': False})
    return ok


@socketio.on('rtl')
def on_rtl():
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：返航被拒绝'})
        return
    send_to_plane({'type': 'rtl'})


@socketio.on('set_mode')
def on_set_mode(data):
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：操作被拒绝'})
        return
    send_to_plane({'type': 'mode', 'mode': data.get('mode', 'auto')})


@socketio.on('upload_waypoints')
def on_upload_waypoints(data):
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：航点上传被拒绝'})
        return
    send_to_plane({'type': 'waypoints', 'points': data.get('points', [])})


@socketio.on('emergency_stop')
def on_emergency_stop():
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：急停被拒绝'})
        return
    print("[急停] 收到应急停止指令，立即切断动力")
    send_to_plane({'type': 'emergency_stop'})
    socketio.emit('plane_log', {'level': 'WARN', 'msg': '地面站触发应急停止'})


@socketio.on('set_param')
def on_set_param(data):
    if not is_authorized():
        emit('plane_log', {'level': 'WARN', 'msg': '未授权：参数设置被拒绝'})
        return
    send_to_plane({'type': 'param', 'key': data.get('key'), 'value': data.get('value')})


@socketio.on('disconnect')
def on_disconnect():
    pass


# ============================================================
#  9. 定时推送发现列表
# ============================================================
def discovered_broadcaster():
    while True:
        socketio.emit('discovered_list', list(discovered.values()))
        time.sleep(1)


# ============================================================
#  10. 主入口
# ============================================================
def open_browser_later(url):
    threading.Timer(1.5, lambda: webbrowser.open(url)).start()


def preflight_ports():
    """预检飞机协议端口，被占用时给出明确提示而非静默失败"""
    issues = []
    try:
        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        s.bind(('0.0.0.0', UDP_PORT))
        s.close()
    except OSError:
        issues.append(f"UDP {UDP_PORT} 已被其他程序占用 → 飞机「发现」功能不可用")
    try:
        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        s.bind(('0.0.0.0', TCP_PORT))
        s.close()
    except OSError:
        issues.append(f"TCP {TCP_PORT} 已被其他程序占用 → 飞机「连接」功能不可用")
    for i in issues:
        print("[警告]", i)
    if issues:
        print("        请先关闭占用端口的程序，再重启本地面站")
    return not issues


def main():
    print("=" * 52)
    print("  固定翼飞行机器人 · 地面站（单文件版）")
    print("=" * 52)

    ensure_deps()
    ensure_files()

    load_last_device()
    preflight_ports()
    threading.Thread(target=udp_listener, daemon=True).start()
    threading.Thread(target=tcp_server, daemon=True).start()
    threading.Thread(target=discovered_broadcaster, daemon=True).start()

    url = f"http://localhost:{HTTP_PORT}"
    print(f"\n  网页地址: {url}")
    print(f"  飞机UDP信标端口: {UDP_PORT}")
    print(f"  飞机TCP连接端口: {TCP_PORT}")
    print(f"  程序文件: {os.path.join(os.path.basename(BASE_DIR) or '.', 'gcs_app')}")
    print(f"  数据缓存: {os.path.join(os.path.basename(BASE_DIR) or '.', 'gcs_data')}")
    print(f"  上次设备: {last_device_id or '无'}")
    print(f"  访问口令: {'已开启（需口令才能控制）' if ACCESS_PWD else '未开启'}")
    print("=" * 52)
    print("  正在自动打开浏览器...（若未弹出，请手动访问上方地址）\n")

    open_browser_later(url)
    # 兼容新旧版 flask-socketio：新版需 allow_unsafe_werkzeug，旧版不支持该参数
    try:
        socketio.run(app, host='0.0.0.0', port=HTTP_PORT, debug=False, allow_unsafe_werkzeug=True)
    except TypeError:
        socketio.run(app, host='0.0.0.0', port=HTTP_PORT, debug=False)


def _pause_and_exit(code=1):
    """窗口模式下暂停，让用户看清错误再关闭（双击运行时避免闪退）"""
    print()
    print("=" * 52)
    print("程序已停止。若上面有红色错误信息，请截图保存。")
    print("排查方法：")
    print("  1. 需要联网安装依赖；若网络不通，请连接网络后重试")
    print("  2. 若仍失败，在命令行运行：python ground_station.py 查看完整错误")
    print("  3. 常见原因：Python 版本过旧 / 依赖装不上 / 端口被占用")
    print("=" * 52)
    try:
        input("按回车键关闭窗口...")
    except Exception:
        pass
    sys.exit(code)


def main():
    try:
        _run_server()
    except SystemExit:
        raise
    except Exception:
        import traceback
        print()
        print("!" * 52)
        print("地面站启动失败，错误信息如下：")
        traceback.print_exc()
        print("!" * 52)
        _pause_and_exit(1)


def _run_server():
    print("=" * 52)
    print("  固定翼飞行机器人 · 地面站（单文件版）")
    print("=" * 52)

    ensure_deps()
    ensure_files()

    load_last_device()
    preflight_ports()
    threading.Thread(target=udp_listener, daemon=True).start()
    threading.Thread(target=tcp_server, daemon=True).start()
    threading.Thread(target=discovered_broadcaster, daemon=True).start()

    url = f"http://localhost:{HTTP_PORT}"
    print(f"\n  网页地址: {url}")
    print(f"  飞机UDP信标端口: {UDP_PORT}")
    print(f"  飞机TCP连接端口: {TCP_PORT}")
    print(f"  程序文件: {os.path.join(os.path.basename(BASE_DIR) or '.', 'gcs_app')}")
    print(f"  数据缓存: {os.path.join(os.path.basename(BASE_DIR) or '.', 'gcs_data')}")
    print(f"  上次设备: {last_device_id or '无'}")
    print(f"  访问口令: {'已开启（需口令才能控制）' if ACCESS_PWD else '未开启'}")
    print("=" * 52)
    print("  正在自动打开浏览器...（若未弹出，请手动访问上方地址）\n")

    open_browser_later(url)
    # 兼容新旧版 flask-socketio：新版需 allow_unsafe_werkzeug，旧版不支持该参数
    try:
        socketio.run(app, host='0.0.0.0', port=HTTP_PORT, debug=False, allow_unsafe_werkzeug=True)
    except TypeError:
        socketio.run(app, host='0.0.0.0', port=HTTP_PORT, debug=False)


if __name__ == '__main__':
    main()
#（注：内容由AI生成）