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run_config_web.py
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"""
配置管理Web界面启动文件
提供Web配置界面功能，包括:
- 初始化Python路径
- 禁用字节码缓存
- 清理缓存文件
- 启动Web服务器
- 动态修改配置
"""
import os
import sys
import re
import logging
from flask import Flask, render_template, jsonify, request, send_from_directory, redirect, url_for, session
import importlib
import json
from colorama import init, Fore, Style
from werkzeug.utils import secure_filename
from typing import Dict, Any, List
import psutil
import subprocess
import threading
from src.autoupdate.updater import Updater
import requests
import time
from queue import Queue
import datetime
from logging.config import dictConfig
import shutil
import signal
import atexit
import socket
import webbrowser
import hashlib
import secrets
from datetime import timedelta
from src.utils.console import print_status
from src.avatar_manager import avatar_manager # 导入角色设定管理器
# 在文件开头添加全局变量声明
bot_process = None
bot_start_time = None
bot_logs = Queue(maxsize=1000)
# 配置日志
dictConfig({
'version': 1,
'formatters': {
'default': {
'format': '[%(asctime)s] %(levelname)s: %(message)s',
'datefmt': '%Y-%m-%d %H:%M:%S'
}
},
'handlers': {
'console': {
'class': 'logging.StreamHandler',
'formatter': 'default',
'level': 'DEBUG'
}
},
'root': {
'level': 'DEBUG',
'handlers': ['console']
},
'loggers': {
'werkzeug': {
'level': 'ERROR', # 将 Werkzeug 的日志级别设置为 ERROR
'handlers': ['console'],
'propagate': False
}
}
})
# 初始化日志记录器
logger = logging.getLogger(__name__)
# 初始化colorama
init()
# 添加项目根目录到Python路径
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(ROOT_DIR)
# 禁用Python的字节码缓存
sys.dont_write_bytecode = True
app = Flask(__name__,
template_folder=os.path.join(ROOT_DIR, 'src/webui/templates'),
static_folder=os.path.join(ROOT_DIR, 'src/webui/static'))
# 添加配置
app.config['UPLOAD_FOLDER'] = os.path.join(ROOT_DIR, 'src/webui/background_image')
# 确保上传目录存在
os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
# 生成密钥用于session加密
app.secret_key = secrets.token_hex(16)
# 在 app 初始化后添加
app.register_blueprint(avatar_manager)
def get_available_avatars() -> List[str]:
"""获取可用的人设目录列表"""
avatar_base_dir = os.path.join(ROOT_DIR, "data/avatars")
if not os.path.exists(avatar_base_dir):
return []
# 获取所有包含 avatar.md 和 emojis 目录的有效人设目录
avatars = []
for item in os.listdir(avatar_base_dir):
avatar_dir = os.path.join(avatar_base_dir, item)
if os.path.isdir(avatar_dir):
if os.path.exists(os.path.join(avatar_dir, "avatar.md")) and \
os.path.exists(os.path.join(avatar_dir, "emojis")):
avatars.append(f"data/avatars/{item}")
return avatars
def parse_config_groups() -> Dict[str, Dict[str, Any]]:
"""解析配置文件，将配置项按组分类"""
from src.config import config
config_groups = {
"基础配置": {},
"图像识别API配置": {},
"图像生成配置": {},
"时间配置": {},
"语音配置": {},
"Prompt配置": {},
}
# 基础配置
config_groups["基础配置"].update(
{
"LISTEN_LIST": {
"value": config.user.listen_list,
"description": "用户列表(请配置要和bot说话的账号的昵称或者群名，不要写备注！)",
},
"DEEPSEEK_BASE_URL": {
"value": config.llm.base_url,
"description": "API注册地址",
},
"DEEPSEEK_API_KEY": {
"value": config.llm.api_key,
"description": "API密钥",
},
"DIFY_BASE_URL": {
"value": config.llm.dify_base_url,
"description": "DIFY注册地址",
},
"DIFY_API_KEY": {
"value": config.llm.dify_api_key,
"description": "DIFY API密钥",
},
# "MODEL": {"value": config.llm.model, "description": "AI模型选择"},
# "MAX_TOKEN": {
# "value": config.llm.max_tokens,
# "description": "回复最大token数",
# "type": "number",
# },
# "TEMPERATURE": {
# "value": float(config.llm.temperature), # 确保是浮点数
# "type": "number",
# "description": "温度参数",
# "min": 0.0,
# "max": 1.7,
# },
}
)
# 图像识别API配置
config_groups["图像识别API配置"].update(
{
"MOONSHOT_API_KEY": {
"value": config.media.image_recognition.api_key,
"description": "Moonshot API密钥（用于图片和表情包识别）\n API申请https://platform.moonshot.cn/console/api-keys （免费15元额度）",
},
"MOONSHOT_BASE_URL": {
"value": config.media.image_recognition.base_url,
"description": "Moonshot API基础URL",
},
"MOONSHOT_TEMPERATURE": {
"value": config.media.image_recognition.temperature,
"description": "Moonshot温度参数",
},
}
)
# 图像生成配置
config_groups["图像生成配置"].update(
{
"IMAGE_MODEL": {
"value": config.media.image_generation.model,
"description": "图像生成模型",
},
"TEMP_IMAGE_DIR": {
"value": config.media.image_generation.temp_dir,
"description": "临时图片目录",
},
}
)
# 时间配置
config_groups["时间配置"].update(
{
"AUTO_MESSAGE": {
"value": config.behavior.auto_message.content,
"description": "自动消息内容",
},
"MIN_COUNTDOWN_HOURS": {
"value": config.behavior.auto_message.min_hours,
"description": "最小倒计时时间（小时）",
},
"MAX_COUNTDOWN_HOURS": {
"value": config.behavior.auto_message.max_hours,
"description": "最大倒计时时间（小时）",
},
"QUIET_TIME_START": {
"value": config.behavior.quiet_time.start,
"description": "安静时间开始",
},
"QUIET_TIME_END": {
"value": config.behavior.quiet_time.end,
"description": "安静时间结束",
},
}
)
# 语音配置
config_groups["语音配置"].update(
{
"TTS_API_URL": {
"value": config.media.text_to_speech.tts_api_url,
"description": "语音服务API地址",
},
"VOICE_DIR": {
"value": config.media.text_to_speech.voice_dir,
"description": "语音文件目录",
},
}
)
# Prompt配置
available_avatars = get_available_avatars()
config_groups["Prompt配置"].update(
{
"MAX_GROUPS": {
"value": config.behavior.context.max_groups,
"description": "最大的上下文轮数",
},
"AVATAR_DIR": {
"value": config.behavior.context.avatar_dir,
"description": "人设目录（自动包含 avatar.md 和 emojis 目录）",
"options": available_avatars,
"type": "select"
}
}
)
return config_groups
def save_config(new_config: Dict[str, Any]) -> bool:
"""保存新的配置到文件"""
try:
from src.config import (
UserSettings,
LLMSettings,
ImageRecognitionSettings,
ImageGenerationSettings,
TextToSpeechSettings,
MediaSettings,
AutoMessageSettings,
QuietTimeSettings,
ContextSettings,
BehaviorSettings,
config
)
# 添加调试日志，查看接收到的所有参数
logger.debug("接收到的所有配置参数:")
for key, value in new_config.items():
logger.debug(f"{key}: {value} (类型: {type(value)})")
# 特别处理温度参数
# temperature = float(new_config.get("TEMPERATURE", 1.1))
# logger.debug(f"处理后的温度参数: {temperature} (类型: {type(temperature)})")
# 构建所有新的配置对象
llm_settings = LLMSettings(
api_key=new_config.get("DEEPSEEK_API_KEY", ""),
base_url=new_config.get("DEEPSEEK_BASE_URL", ""),
dify_api_key=new_config.get("DIFY_API_KEY",""),
dify_base_url=new_config.get("DIFY_BASE_URL",""),
# model=new_config.get("MODEL", ""),
# max_tokens=int(new_config.get("MAX_TOKEN", 2000)),
# temperature=temperature # 使用处理后的温度值
)
media_settings = MediaSettings(
image_recognition=ImageRecognitionSettings(
api_key=new_config.get("MOONSHOT_API_KEY", ""),
base_url=new_config.get("MOONSHOT_BASE_URL", ""),
temperature=float(new_config.get("MOONSHOT_TEMPERATURE", 1.1)),
),
image_generation=ImageGenerationSettings(
model=new_config.get("IMAGE_MODEL", ""),
temp_dir=new_config.get("TEMP_IMAGE_DIR", ""),
),
text_to_speech=TextToSpeechSettings(
tts_api_url=new_config.get("TTS_API_URL", ""),
voice_dir=new_config.get("VOICE_DIR", ""),
)
)
behavior_settings = BehaviorSettings(
auto_message=AutoMessageSettings(
content=new_config.get("AUTO_MESSAGE", ""),
min_hours=float(new_config.get("MIN_COUNTDOWN_HOURS", 1)),
max_hours=float(new_config.get("MAX_COUNTDOWN_HOURS", 3)),
),
quiet_time=QuietTimeSettings(
start=new_config.get("QUIET_TIME_START", ""),
end=new_config.get("QUIET_TIME_END", ""),
),
context=ContextSettings(
max_groups=int(new_config.get("MAX_GROUPS", 15)),
avatar_dir=new_config.get("AVATAR_DIR", ""),
),
)
# 构建JSON结构
config_data = {
"categories": {
"user_settings": {
"title": "用户设置",
"settings": {
"listen_list": {
"value": UserSettings(listen_list=new_config.get("LISTEN_LIST", [])).listen_list,
"type": "array",
"description": "要监听的用户列表（请使用微信昵称，不要使用备注名）",
}
},
},
"llm_settings": {
"title": "大语言模型配置",
"settings": {
"api_key": {
"value": llm_settings.api_key,
"type": "string",
"description": "API密钥",
"is_secret": True,
},
"base_url": {
"value": llm_settings.base_url,
"type": "string",
"description": "DeepSeek API基础URL",
},
"dify_api_key": {
"value": llm_settings.dify_api_key,
"type": "string",
"description": "DIFY API密钥",
"is_secret": True,
},
"dify_base_url": {
"value": llm_settings.dify_base_url,
"type": "string",
"description": "DIFY API基础URL",
}
# "model": {
# "value": llm_settings.model,
# "type": "string",
# "description": "使用的AI模型名称",
# "options": [
# "deepseek-ai/DeepSeek-V3",
# "Pro/deepseek-ai/DeepSeek-V3",
# "Pro/deepseek-ai/DeepSeek-R1",
# ],
# },
# "max_tokens": {
# "value": llm_settings.max_tokens,
# "type": "number",
# "description": "回复最大token数量",
# },
# "temperature": {
# "value": temperature,
# "type": "number",
# "description": "AI回复的温度值",
# "min": 0.0,
# "max": 1.7
# },
},
},
"media_settings": {
"title": "媒体设置",
"settings": {
"image_recognition": {
"api_key": {
"value": media_settings.image_recognition.api_key,
"type": "string",
"description": "Moonshot AI API密钥（用于图片和表情包识别）",
"is_secret": True,
},
"base_url": {
"value": media_settings.image_recognition.base_url,
"type": "string",
"description": "Moonshot API基础URL",
},
"temperature": {
"value": media_settings.image_recognition.temperature,
"type": "number",
"description": "Moonshot AI的温度值",
"min": 0,
"max": 2,
},
},
"image_generation": {
"model": {
"value": media_settings.image_generation.model,
"type": "string",
"description": "图像生成模型",
},
"temp_dir": {
"value": media_settings.image_generation.temp_dir,
"type": "string",
"description": "临时图片存储目录",
},
},
"text_to_speech": {
"tts_api_url": {
"value": media_settings.text_to_speech.tts_api_url,
"type": "string",
"description": "TTS服务API地址",
},
"voice_dir": {
"value": media_settings.text_to_speech.voice_dir,
"type": "string",
"description": "语音文件存储目录",
},
}
},
},
"behavior_settings": {
"title": "行为设置",
"settings": {
"auto_message": {
"content": {
"value": behavior_settings.auto_message.content,
"type": "string",
"description": "自动消息内容",
},
"countdown": {
"min_hours": {
"value": behavior_settings.auto_message.min_hours,
"type": "number",
"description": "最小倒计时时间（小时）",
},
"max_hours": {
"value": behavior_settings.auto_message.max_hours,
"type": "number",
"description": "最大倒计时时间（小时）",
},
},
},
"quiet_time": {
"start": {
"value": behavior_settings.quiet_time.start,
"type": "string",
"description": "安静时间开始",
},
"end": {
"value": behavior_settings.quiet_time.end,
"type": "string",
"description": "安静时间结束",
},
},
"context": {
"max_groups": {
"value": behavior_settings.context.max_groups,
"type": "number",
"description": "最大上下文轮数",
},
"avatar_dir": {
"value": behavior_settings.context.avatar_dir,
"type": "string",
"description": "人设目录（自动包含 avatar.md 和 emojis 目录）",
},
},
},
},
}
}
# # 在保存前记录最终的温度配置
# final_temp = config_data["categories"]["llm_settings"]["settings"]["temperature"]["value"]
# logger.debug(f"最终保存到JSON的温度值: {final_temp} (类型: {type(final_temp)})")
# 使用 Config 类的方法保存配置
if not config.save_config(config_data):
logger.error("保存配置失败")
return False
# 重新加载配置模块
importlib.reload(sys.modules["src.config"])
logger.debug("配置已成功保存和重新加载")
return True
except Exception as e:
logger.error(f"保存配置失败: {str(e)}")
return False
@app.route('/')
def index():
"""重定向到控制台"""
return redirect(url_for('dashboard'))
@app.route('/save', methods=['POST'])
def save():
"""保存配置"""
try:
new_config = request.json
logger.debug(f"接收到的配置数据: {new_config}")
if save_config(new_config):
return jsonify({
"status": "success",
"message": "✨ 配置已成功保存并生效",
"title": "保存成功" # 添加标题字段
})
return jsonify({
"status": "error",
"message": "保存失败，请重试",
"title": "保存失败"
})
except Exception as e:
logger.error(f"保存失败: {str(e)}")
return jsonify({
"status": "error",
"message": f"保存失败: {str(e)}",
"title": "错误"
})
# 添加上传处理路由
@app.route('/upload_background', methods=['POST'])
def upload_background():
if 'background' not in request.files:
return jsonify({"status": "error", "message": "没有选择文件"})
file = request.files['background']
if file.filename == '':
return jsonify({"status": "error", "message": "没有选择文件"})
if file:
filename = secure_filename(file.filename)
# 清理旧的背景图片
for old_file in os.listdir(app.config['UPLOAD_FOLDER']):
os.remove(os.path.join(app.config['UPLOAD_FOLDER'], old_file))
# 保存新图片
file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
return jsonify({
"status": "success",
"message": "背景图片已更新",
"path": f"/background_image/{filename}"
})
# 添加背景图片目录的路由
@app.route('/background_image/<filename>')
def background_image(filename):
return send_from_directory(app.config['UPLOAD_FOLDER'], filename)
# 添加获取背景图片路由
@app.route('/get_background')
def get_background():
"""获取当前背景图片"""
try:
# 获取背景图片目录中的第一个文件
files = os.listdir(app.config['UPLOAD_FOLDER'])
if files:
# 返回找到的第一个图片
return jsonify({
"status": "success",
"path": f"/background_image/{files[0]}"
})
return jsonify({
"status": "success",
"path": None
})
except Exception as e:
return jsonify({
"status": "error",
"message": str(e)
})
# 添加新的路由
@app.route('/dashboard')
def dashboard():
"""仪表盘页面"""
if not session.get('logged_in'):
return redirect(url_for('login'))
return render_template(
'dashboard.html',
is_local=is_local_network(),
active_page='dashboard'
)
@app.route('/system_info')
def system_info():
"""获取系统信息"""
try:
# 创建静态变量存储上次的值
if not hasattr(system_info, 'last_bytes'):
system_info.last_bytes = {
'sent': 0,
'recv': 0,
'time': time.time()
}
cpu_percent = psutil.cpu_percent()
memory = psutil.virtual_memory()
disk = psutil.disk_usage('/')
net = psutil.net_io_counters()
# 计算网络速度
current_time = time.time()
time_delta = current_time - system_info.last_bytes['time']
# 计算每秒的字节数
upload_speed = (net.bytes_sent - system_info.last_bytes['sent']) / time_delta
download_speed = (net.bytes_recv - system_info.last_bytes['recv']) / time_delta
# 更新上次的值
system_info.last_bytes = {
'sent': net.bytes_sent,
'recv': net.bytes_recv,
'time': current_time
}
# 转换为 KB/s
upload_speed = upload_speed / 1024
download_speed = download_speed / 1024
return jsonify({
'cpu': cpu_percent,
'memory': {
'total': round(memory.total / (1024**3), 2),
'used': round(memory.used / (1024**3), 2),
'percent': memory.percent
},
'disk': {
'total': round(disk.total / (1024**3), 2),
'used': round(disk.used / (1024**3), 2),
'percent': disk.percent
},
'network': {
'upload': round(upload_speed, 2),
'download': round(download_speed, 2)
}
})
except Exception as e:
logger.error(f"获取系统信息失败: {str(e)}")
return jsonify({
'status': 'error',
'message': str(e)
}), 500
@app.route('/check_update')
def check_update():
"""检查更新"""
try:
updater = Updater()
result = updater.check_for_updates()
return jsonify({
'status': 'success',
'has_update': result.get('has_update', False),
'console_output': result['output'],
'update_info': result if result.get('has_update') else None,
'wait_input': result.get('has_update', False)
})
except Exception as e:
return jsonify({
'status': 'error',
'has_update': False,
'console_output': f'检查更新失败: {str(e)}'
})
@app.route('/confirm_update', methods=['POST'])
def confirm_update():
"""确认是否更新"""
try:
choice = request.json.get('choice', '').lower()
if choice in ('y', 'yes'):
updater = Updater()
result = updater.update()
return jsonify({
'status': 'success' if result['success'] else 'error',
'console_output': result['output']
})
else:
return jsonify({
'status': 'success',
'console_output': '用户取消更新'
})
except Exception as e:
return jsonify({
'status': 'error',
'console_output': f'更新失败: {str(e)}'
})
@app.route('/start_bot')
def start_bot():
"""启动机器人"""
global bot_process, bot_start_time
try:
if bot_process and bot_process.poll() is None:
return jsonify({
'status': 'error',
'message': '机器人已在运行中'
})
# 清空之前的日志
while not bot_logs.empty():
bot_logs.get()
# 设置环境变量
env = os.environ.copy()
env['PYTHONIOENCODING'] = 'utf-8'
# 创建新的进程组
if sys.platform.startswith('win'):
CREATE_NEW_PROCESS_GROUP = 0x00000200
DETACHED_PROCESS = 0x00000008
creationflags = CREATE_NEW_PROCESS_GROUP | DETACHED_PROCESS
else:
creationflags = 0
# 启动进程
bot_process = subprocess.Popen(
[sys.executable, 'run.py'],
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
universal_newlines=True,
bufsize=1,
env=env,
encoding='utf-8',
errors='replace',
creationflags=creationflags if sys.platform.startswith('win') else 0,
preexec_fn=os.setsid if not sys.platform.startswith('win') else None
)
# 记录启动时间
bot_start_time = datetime.datetime.now()
# 启动日志读取线程
def read_output():
try:
while bot_process and bot_process.poll() is None:
line = bot_process.stdout.readline()
if line:
try:
# 尝试解码并清理日志内容
line = line.strip()
if isinstance(line, bytes):
line = line.decode('utf-8', errors='replace')
timestamp = datetime.datetime.now().strftime('%H:%M:%S')
bot_logs.put(f"[{timestamp}] {line}")
except Exception as e:
logger.error(f"日志处理错误: {str(e)}")
continue
except Exception as e:
logger.error(f"读取日志失败: {str(e)}")
bot_logs.put(f"[ERROR] 读取日志失败: {str(e)}")
thread = threading.Thread(target=read_output, daemon=True)
thread.start()
return jsonify({
'status': 'success',
'message': '机器人启动成功'
})
except Exception as e:
logger.error(f"启动机器人失败: {str(e)}")
return jsonify({
'status': 'error',
'message': str(e)
})
@app.route('/get_bot_logs')
def get_bot_logs():
"""获取机器人日志"""
logs = []
while not bot_logs.empty():
logs.append(bot_logs.get())
# 获取运行时间
uptime = '0分钟'
if bot_start_time and bot_process and bot_process.poll() is None:
delta = datetime.datetime.now() - bot_start_time
total_seconds = int(delta.total_seconds())
hours = total_seconds // 3600
minutes = (total_seconds % 3600) // 60
seconds = total_seconds % 60
if hours > 0:
uptime = f"{hours}小时{minutes}分钟{seconds}秒"
elif minutes > 0:
uptime = f"{minutes}分钟{seconds}秒"
else:
uptime = f"{seconds}秒"
return jsonify({
'status': 'success',
'logs': logs,
'uptime': uptime,
'is_running': bot_process is not None and bot_process.poll() is None
})
@app.route('/stop_bot')
def stop_bot():
"""停止机器人"""
global bot_process
try:
if bot_process:
# 首先尝试正常终止进程
bot_process.terminate()
# 等待进程结束
try:
bot_process.wait(timeout=5) # 等待最多5秒
except subprocess.TimeoutExpired:
# 如果超时，强制结束进程
bot_process.kill()
bot_process.wait()
# 确保所有子进程都被终止
if sys.platform.startswith('win'):
subprocess.run(['taskkill', '/F', '/T', '/PID', str(bot_process.pid)],
capture_output=True)
else:
import signal
os.killpg(os.getpgid(bot_process.pid), signal.SIGTERM)
# 清理进程对象
bot_process = None
# 添加日志记录
timestamp = datetime.datetime.now().strftime('%H:%M:%S')
bot_logs.put(f"[{timestamp}] 正在关闭监听线程...")
bot_logs.put(f"[{timestamp}] 正在关闭系统...")
bot_logs.put(f"[{timestamp}] 系统已退出")
return jsonify({
'status': 'success',
'message': '机器人已停止'
})
return jsonify({
'status': 'error',
'message': '机器人未在运行'
})
except Exception as e:
logger.error(f"停止机器人失败: {str(e)}")
return jsonify({
'status': 'error',
'message': str(e)
})
@app.route('/config')
def config():
"""配置页面"""
if not session.get('logged_in'):
return redirect(url_for('login'))
config_groups = parse_config_groups() # 获取配置组
return render_template(
'config.html',
config_groups=config_groups, # 传递配置组
is_local=is_local_network(), # 传递本地网络状态
active_page='config' # 传递当前页面标识
)
# 添加获取用户信息的路由
@app.route('/user_info')
def get_user_info():
"""获取用户账户信息"""
try:
from src.config import config
api_key = config.llm.api_key
base_url = config.llm.base_url.rstrip('/')
# 确保使用正确的API端点
if 'siliconflow.cn' in base_url:
api_url = f"{base_url}/user/info"
else:
return jsonify({
'status': 'error',
'message': '当前API不支持查询用户信息'
})
headers = {
'Authorization': f'Bearer {api_key}',
'Content-Type': 'application/json'
}
response = requests.get(api_url, headers=headers, timeout=10)
if response.status_code == 200:
data = response.json()
if data.get('status') is True and data.get('data'): # 修改判断条件
user_data = data['data']
return jsonify({
'status': 'success',
'data': {
'balance': user_data.get('balance', '0'),
'total_balance': user_data.get('totalBalance', '0'),
'charge_balance': user_data.get('chargeBalance', '0'),
'name': user_data.get('name', 'Unknown'),
'email': user_data.get('email', 'Unknown'),
'status': user_data.get('status', 'Unknown')
}
})
return jsonify({
'status': 'error',
'message': f"API返回错误: {response.text}"
})
except Exception as e:
return jsonify({
'status': 'error',
'message': f"获取用户信息失败: {str(e)}"
})
# 在 app 初始化后添加
@app.route('/static/<path:filename>')
def serve_static(filename):
"""提供静态文件服务"""
return send_from_directory(app.static_folder, filename)
@app.route('/execute_command', methods=['POST'])
def execute_command():
"""执行控制台命令"""
try:
command = request.json.get('command', '').strip()
global bot_process, bot_start_time
# 处理内置命令
if command.lower() == 'help':
return jsonify({
'status': 'success',
'output': '''可用命令:
help - 显示帮助信息
clear - 清空日志
status - 显示系统状态
version - 显示版本信息
memory - 显示内存使用情况
start - 启动机器人
stop - 停止机器人
restart - 重启机器人
支持所有CMD命令，例如:
dir - 显示目录内容
cd - 切换目录
echo - 显示消息
type - 显示文件内容
等...'''
})
elif command.lower() == 'clear':
# 清空日志队列
while not bot_logs.empty():
bot_logs.get()
return jsonify({
'status': 'success',
'output': '', # 返回空输出，让前端清空日志
'clear': True # 添加标记，告诉前端需要清空日志
})
elif command.lower() == 'status':
if bot_process and bot_process.poll() is None:
uptime = '0分钟'
if bot_start_time:
delta = datetime.datetime.now() - bot_start_time
total_seconds = int(delta.total_seconds())
hours = total_seconds // 3600
minutes = (total_seconds % 3600) // 60
seconds = total_seconds % 60
if hours > 0:
uptime = f"{hours}小时{minutes}分钟{seconds}秒"
elif minutes > 0:
uptime = f"{minutes}分钟{seconds}秒"
else:
uptime = f"{seconds}秒"
return jsonify({
'status': 'success',
'output': f'机器人状态: 运行中\n运行时间: {uptime}'
})