main #36

Merged
charles merged 10 commits from main into prod 2025-11-20 15:28:32 +08:00
7 changed files with 514 additions and 34 deletions

View File

@ -6,6 +6,7 @@ async def time_convert(resoucetime=None):
return beijing_time.strftime("%Y-%m-%d %H:%M:%S")
async def baidu_sms_kafka_consumer(ns={}):
import os
consumer = BaiduKafKaConsumer({
# 接入点
'bootstrap.servers': '120.48.10.223:9095,180.76.96.108:9095,180.76.147.36:9095',
@ -29,14 +30,34 @@ async def baidu_sms_kafka_consumer(ns={}):
# 订阅的主题名称
consumer.subscribe(['kaiyuanyun_msg_topic'])
for i in range(30):
msg = consumer.poll(0.1) # 单次轮询获取消息
files = ["baidu_kafka_msg.txt", "baidu_kafka_id.txt", "baidu_kafka_error.txt"]
for filename in files:
if not os.path.exists(filename):
with open(filename, 'w', encoding='utf-8') as f: # 'w' 模式会覆盖已有文件,但检查后使用是安全的
pass # 创建空文件
else:
pass
total_count = 0
for i in range(2):
if i == 0:
# 写入文件记录轮询开始时间 时间格式: YYYY-MM-DD HH:MM:SS
with open('baidu_kafka_msg.txt', 'a', encoding='utf-8') as f:
f.write(f"轮询开始时间:{datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
msg = consumer.poll(0.2) # 单次轮询获取消息
if msg is None:
if i == 10:
with open('baidu_kafka_msg.txt', 'a', encoding='utf-8') as f:
f.write(f"轮询第10次消息为None{datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
continue
elif msg.error():
print(f"消费者错误: {msg.error()}")
# 写入日志文件记录错误信息
with open('baidu_kafka_error.txt', 'a', encoding='utf-8') as f:
f.write(f"{datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - 消费者错误: {msg.error()}\n")
else:
total_count += 1
try:
# 解析消息内容为字典(避免变量名冲突)
msg_data_ori = json.loads(msg.value().decode('utf-8'))
@ -44,14 +65,8 @@ async def baidu_sms_kafka_consumer(ns={}):
messageid = msg_data.get('id')
taskid = msg_data.get('taskId')
filename = 'baidu_kafka_msg.txt'
# 检查文件是否存在,不存在则创建
if not os.path.exists(filename):
with open(filename, 'w', encoding='utf-8') as f:
print(f"文件不存在,已创建 {filename}")
# 读取文件内容进行检查
with open(filename, 'r', encoding='utf-8') as f:
with open('baidu_kafka_id.txt', 'r', encoding='utf-8') as f:
content = f.read()
if messageid in content:
@ -59,18 +74,22 @@ async def baidu_sms_kafka_consumer(ns={}):
continue
else:
# 追加写入目标内容
with open(filename, 'a', encoding='utf-8') as f:
with open('baidu_kafka_id.txt', 'a', encoding='utf-8') as f:
f.write(messageid + '\n')
print(f"已写入 '{messageid}' 到文件")
with open('baidu_kafka_msg.txt', 'a', encoding='utf-8') as f:
f.write(str(msg_data) + '\n')
db = DBPools()
async with db.sqlorContext('kboss') as sor:
# 1. 去重检查messageid和taskid
exist_msg = await sor.R('baidu_kafka_msg', {'messageid': messageid, 'taskid': taskid})
if exist_msg:
print(f"消息id {messageid} 已存在,跳过处理")
consumer.close()
return
continue
# consumer.close()
# return
# 2. 构建小写key的ns字典完整映射所有字段
ns_msg = {
@ -119,15 +138,25 @@ async def baidu_sms_kafka_consumer(ns={}):
# 查询用户手机号
account_id = msg_data.get('accountId')
user_local_id_li = await sor.R('baidu_users', {'baidu_id': account_id})
user_local_id = user_local_id_li[0]['user_id']
user_mobile_li = await sor.R('users', {'id': user_local_id, 'del_flg': '0'})
mobile = user_mobile_li[0]['mobile']
if user_local_id_li:
user_local_id = user_local_id_li[0]['user_id']
user_mobile_li = await sor.R('users', {'id': user_local_id, 'del_flg': '0'})
mobile = user_mobile_li[0]['mobile']
# 调用短信发送接口
kyy_send_status = await send_vcode(mobile, sms_stype, {'content': msg_content})
if kyy_send_status.get('status'):
await sor.U('baidu_kafka_msg', {'id': ns_msg['id'], 'kyysendstatus': '1'})
print(f"已触发短信发送至 {mobile}")
# 调用短信发送接口
kyy_send_status = await send_vcode(mobile, sms_stype, {'content': msg_content})
if kyy_send_status.get('status'):
await sor.U('baidu_kafka_msg', {'id': ns_msg['id'], 'kyysendstatus': '1'})
else:
# 记录错误日志 短信发送失败
with open('baidu_kafka_error.txt', 'a', encoding='utf-8') as f:
f.write(f"{datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - 错误: 短信发送失败至 {mobile},状态: {kyy_send_status}\n")
print(f"短信发送失败至 {mobile},状态: {kyy_send_status}")
else:
# 记录错误日志 用户未找到
with open('baidu_kafka_error.txt', 'a', encoding='utf-8') as f:
f.write(f"{datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - 错误: 未找到百度用户ID {account_id} 对应的本地用户\n")
print(f"未找到百度用户ID {account_id} 对应的本地用户")
except json.JSONDecodeError:
print("错误消息内容非有效JSON")
@ -141,6 +170,9 @@ async def baidu_sms_kafka_consumer(ns={}):
'status': False,
'msg': f"处理异常: {str(e)}"
}
# 记录total_count
with open('baidu_kafka_msg.txt', 'a', encoding='utf-8') as f:
f.write(f"本次轮询共处理消息数:{total_count}\n")
consumer.close() # 确保消费者关闭
return {

View File

@ -33,4 +33,5 @@
*/1 * * * * curl https://www.opencomputing.cn/account/email_info.dspy > /d/zhc/crontab_prod.log 2>&1
*/1 * * * * curl https://www.opencomputing.cn/jdcloud/get_partner_order_list.dspy?page=1 > /d/zhc/crontab_prod.log 2>&1
* * * * * curl https://www.opencomputing.cn/baiduc/baidu_new_update_resouce.dspy > /d/zhc/crontab_prod.log 2>&1
* * * * * curl https://www.opencomputing.cn/baiduc/baidu_sms_kafka_consumer.dspy > /d/zhc/crontab_dev.log 2>&1
#* * * * * curl https://www.opencomputing.cn/baiduc/baidu_sms_kafka_consumer.dspy > /d/zhc/crontab_dev.log 2>&1
*/5 * * * * /usr/bin/python3 /d/zhc/kboss_prod/kgadget/src/more_task_scheduler.py >> /tmp/multi_task_scheduler_cron.log 2>&1

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@ -90,6 +90,188 @@ Vue.use(HappyScroll)
// mockXHR()
// }
// ==================== 防 F12 和右键检查功能开始 ====================
// 只在生产环境启用防调试功能
if (process.env.NODE_ENV === 'production') {
// 禁止右键菜单
document.addEventListener('contextmenu', function(e) {
e.preventDefault();
return false;
});
// 禁止F12和开发者工具快捷键
document.addEventListener('keydown', function(e) {
// 禁止F12
if (e.key === 'F12') {
e.preventDefault();
return false;
}
// 禁止Ctrl+Shift+I (Chrome, Edge)
if (e.ctrlKey && e.shiftKey && e.key === 'I') {
e.preventDefault();
return false;
}
// 禁止Ctrl+Shift+J (Chrome)
if (e.ctrlKey && e.shiftKey && e.key === 'J') {
e.preventDefault();
return false;
}
// 禁止Ctrl+U (查看源代码)
if (e.ctrlKey && e.key === 'u') {
e.preventDefault();
return false;
}
// 禁止Ctrl+Shift+C (开发者工具检查元素)
if (e.ctrlKey && e.shiftKey && e.key === 'C') {
e.preventDefault();
return false;
}
// 禁止Ctrl+Shift+J (Firefox)
if (e.ctrlKey && e.shiftKey && e.key === 'K') {
e.preventDefault();
return false;
}
});
// 更准确的开发者工具检测
let isDevToolsOpened = false;
// 方法1: 检查开发者工具宽度
function checkDevToolsByWidth() {
const threshold = 160; // 开发者工具通常至少160px宽
const widthThreshold = window.outerWidth - window.innerWidth > threshold;
const heightThreshold = window.outerHeight - window.innerHeight > threshold;
return widthThreshold || heightThreshold;
}
// 方法2: 检查debugger执行时间更宽松的阈值
function checkDevToolsByDebugger() {
return new Promise((resolve) => {
const start = performance.now();
debugger;
const end = performance.now();
// 使用更宽松的阈值,避免误报
resolve(end - start > 200);
});
}
// 方法3: 检查控制台是否打开
function checkDevToolsByConsole() {
const element = new Image();
Object.defineProperty(element, 'id', {
get: function() {
isDevToolsOpened = true;
}
});
console.log(element);
console.clear(); // 清除测试日志
}
// 方法4: 检查Eruda等移动端调试工具
function checkMobileDevTools() {
return !!(window.eruda || window.__eruda || window.vConsole);
}
// 处理检测到调试器的情况
function handleDebuggerDetected() {
if (!isDevToolsOpened) {
isDevToolsOpened = true;
// 可以选择以下一种或多种处理方式
// 1. 显示警告信息(推荐)
alert('检测到开发者工具已打开,为了系统安全,请关闭开发者工具。');
// 2. 跳转到关于页面或其他安全页面
// window.location.href = '/about';
// 3. 清空敏感数据
// sessionStorage.clear();
// localStorage.clear();
// 4. 关闭窗口(慎用)
// window.close();
// 5. 禁用页面交互
// document.body.innerHTML = '<h1>请关闭开发者工具后刷新页面</h1>';
}
}
// 定期检查(使用更宽松的间隔)
const checkInterval = setInterval(async function() {
// 如果已经检测到开发工具打开,停止检查
if (isDevToolsOpened) {
clearInterval(checkInterval);
return;
}
// 检查移动端调试工具
if (checkMobileDevTools()) {
handleDebuggerDetected();
return;
}
// 检查窗口大小
if (checkDevToolsByWidth()) {
handleDebuggerDetected();
return;
}
// 检查debugger异步
const isDebugging = await checkDevToolsByDebugger();
if (isDebugging) {
handleDebuggerDetected();
return;
}
// 偶尔检查控制台(不要太频繁)
if (Math.random() < 0.1) { // 10%的概率检查
checkDevToolsByConsole();
}
}, 2000); // 每2秒检查一次减少性能影响
// 监听窗口大小变化(添加去抖)
let resizeTimer;
window.addEventListener('resize', function() {
clearTimeout(resizeTimer);
resizeTimer = setTimeout(function() {
if (checkDevToolsByWidth() && !isDevToolsOpened) {
handleDebuggerDetected();
}
}, 500);
});
// 禁用控制台输出(可选,根据需求开启)
// 注意这会影响你自己的console.log调试建议只在生产环境使用
if (typeof console !== 'undefined') {
const noop = () => {};
const methods = ['log', 'debug', 'info', 'warn', 'error', 'table', 'dir', 'trace'];
methods.forEach(method => {
console[method] = noop;
});
// 防止重写console被绕过
Object.defineProperty(window, 'console', {
get: function() {
return {
log: noop, debug: noop, info: noop, warn: noop, error: noop,
table: noop, dir: noop, trace: noop
};
},
set: function() {}
});
}
console.log('防调试保护已启用');
}
// ==================== 防 F12 和右键检查功能结束 ====================
Vue.use(Element, {
size: Cookies.get('size') || 'medium' // set element-ui default size
// locale: enLang // 如果使用中文,无需设置,请删除

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@ -130,7 +130,7 @@ export default Vue.extend({
viewList: [],
navList: [],
// data mybalance
// mybalance: 0, //
mybalance: 0,
todoList: [
{ name: '待支付', count: 0 },
{ name: '待续费', count: 0 },
@ -144,7 +144,7 @@ export default Vue.extend({
},
created() {
// initMybalance 使 computed mybalance
// this.initMybalance(); //
this.initMybalance(); //
this.getUnreadMsgCount();
this.fetchTodoCount();
},
@ -188,12 +188,12 @@ export default Vue.extend({
return this.navIcons[iconIndex];
},
// initMybalance 使 computed mybalance
// async initMybalance() { //
// const res = await editReachargelogAPI()
// if (res.status) {
// this.mybalance = res.data
// }
// },
async initMybalance() { //
const res = await editReachargelogAPI()
if (res.status) {
this.mybalance = res.data
}
},
async getUnreadMsgCount() {
try {
const res = await getUnreadmsgAPI();

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@ -403,7 +403,6 @@ export default {
background-color: #f5f7fa;
min-height: calc(100vh - 40px);
box-sizing: border-box;
.table-container {
background: #fff;
border-radius: 8px;

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@ -94,6 +94,32 @@ module.exports = {
alias: {
'@': resolve('src')
}
},
// 生产环境去除console和debugger
optimization: {
minimizer: [
{
apply: (compiler) => {
// 只在生产环境生效
if (process.env.NODE_ENV === 'production') {
const TerserPlugin = require('terser-webpack-plugin')
new TerserPlugin({
terserOptions: {
compress: {
drop_console: true, // 移除console
drop_debugger: true, // 移除debugger
pure_funcs: ['console.log', 'console.info', 'console.warn', 'console.error'] // 移除特定的console方法
},
mangle: true, // 代码混淆
output: {
comments: false // 移除注释
}
}
}).apply(compiler)
}
}
}
]
}
},
chainWebpack(config) {
@ -128,6 +154,8 @@ module.exports = {
symbolId: 'icon-[name]'
})
.end()
// 生产环境配置
config
.when(process.env.NODE_ENV !== 'development',
config => {
@ -165,7 +193,19 @@ module.exports = {
})
// https:// webpack.js.org/configuration/optimization/#optimizationruntimechunk
config.optimization.runtimeChunk('single')
// 生产环境启用代码压缩和优化
config.optimization.minimize(true)
}
)
// 添加防调试插件配置(可选)
if (process.env.NODE_ENV === 'production') {
// 可以在这里添加其他生产环境特定的防调试配置
config.plugin('define').tap(args => {
args[0]['process.env'].DISABLE_DEBUG = 'true'
return args
})
}
}
}

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@ -0,0 +1,226 @@
#!/usr/bin/env python3
"""
多任务定时脚本 - 带进程检测功能
适用于 Linux crontab 部署
"""
import os
import sys
import time
import logging
import requests
import subprocess
from apscheduler.schedulers.blocking import BlockingScheduler
from apscheduler.executors.pool import ThreadPoolExecutor
from datetime import datetime
# 配置日志
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('/tmp/multi_task_scheduler.log'),
logging.StreamHandler(sys.stdout)
]
)
logger = logging.getLogger(__name__)
class ProcessChecker:
"""进程检测类"""
def __init__(self, pid_file='/tmp/multi_task_scheduler.pid'):
self.pid_file = pid_file
def is_running(self):
"""检查进程是否已经在运行"""
if not os.path.exists(self.pid_file):
return False
try:
with open(self.pid_file, 'r') as f:
pid = int(f.read().strip())
# 检查PID是否存在
try:
os.kill(pid, 0)
return True
except OSError:
os.remove(self.pid_file)
return False
except (ValueError, IOError) as e:
logger.warning(f"读取PID文件失败: {e}")
if os.path.exists(self.pid_file):
os.remove(self.pid_file)
return False
def create_pid_file(self):
"""创建PID文件"""
try:
with open(self.pid_file, 'w') as f:
f.write(str(os.getpid()))
logger.info(f"创建PID文件: {self.pid_file}")
except IOError as e:
logger.error(f"创建PID文件失败: {e}")
def remove_pid_file(self):
"""删除PID文件"""
try:
if os.path.exists(self.pid_file):
os.remove(self.pid_file)
logger.info(f"删除PID文件: {self.pid_file}")
except IOError as e:
logger.error(f"删除PID文件失败: {e}")
class TaskExecutor:
"""任务执行器"""
def __init__(self):
self.session = requests.Session()
self.session.headers.update({
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
})
def visit_baidu(self):
"""任务1: 访问百度每5秒"""
start_time = time.time()
try:
response = self.session.get(
'https://www.baidu.com/',
timeout=10,
verify=True
)
duration = time.time() - start_time
logger.info(
f"[百度访问] 成功 - 状态码: {response.status_code} - "
f"响应时间: {duration:.2f}"
)
return True
except Exception as e:
logger.error(f"[百度访问] 失败 - 错误: {e}")
return False
def execute_curl_command(self, url, task_name, log_file='/d/zhc/crontab_prod.log'):
"""执行curl命令的通用方法"""
start_time = time.time()
try:
# 构建curl命令
command = ['curl', '-s', url]
# 执行命令
result = subprocess.run(
command,
capture_output=True,
text=True,
timeout=300 # 5分钟超时
)
duration = time.time() - start_time
# 记录结果到日志文件
with open(log_file, 'a', encoding='utf-8') as f:
f.write(f"\n{'='*50}\n")
f.write(f"任务: {task_name}\n")
f.write(f"执行时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
f.write(f"URL: {url}\n")
f.write(f"返回码: {result.returncode}\n")
f.write(f"执行时间: {duration:.2f}\n")
f.write(f"输出: {result.stdout}\n")
if result.stderr:
f.write(f"错误: {result.stderr}\n")
f.write(f"{'='*50}\n")
if result.returncode == 0:
logger.info(f"[{task_name}] 成功 - 执行时间: {duration:.2f}")
return True
else:
logger.error(f"[{task_name}] 失败 - 返回码: {result.returncode}, 错误: {result.stderr}")
return False
except subprocess.TimeoutExpired:
logger.error(f"[{task_name}] 超时 - 执行超过5分钟")
return False
except Exception as e:
logger.error(f"[{task_name}] 异常 - 错误: {e}")
return False
def get_baidu_kafka_info(self):
"""任务2: 访问百度kafka信息源"""
return self.execute_curl_command(
'https://www.opencomputing.cn/baiduc/baidu_sms_kafka_consumer.dspy',
'访问百度kafka信息源'
)
def setup_scheduler():
"""设置和启动调度器"""
# 配置执行器
executors = {
'default': ThreadPoolExecutor(5)
}
# 创建调度器
scheduler = BlockingScheduler(executors=executors)
# 创建任务执行器实例
task_executor = TaskExecutor()
# 添加任务1: 每5秒访问百度
# scheduler.add_job(
# task_executor.visit_baidu,
# 'interval',
# seconds=5,
# id='visit_baidu_job',
# replace_existing=True
# )
# 添加任务2:
scheduler.add_job(
task_executor.get_baidu_kafka_info,
'interval',
seconds=5,
id='get_baidu_kafka_info_job',
replace_existing=True
)
return scheduler
def main():
"""主函数"""
# 创建进程检测器
process_checker = ProcessChecker()
# 检查是否已有实例在运行
if process_checker.is_running():
logger.info("检测到脚本已在运行,退出当前实例")
sys.exit(0)
# 创建PID文件
process_checker.create_pid_file()
logger.info("多任务定时脚本启动...")
logger.info(f"进程PID: {os.getpid()}")
logger.info("任务列表:")
logger.info("1. 每5秒访问百度kafka信息源")
logger.info("按 Ctrl+C 退出程序")
scheduler = None
try:
# 设置并启动调度器
scheduler = setup_scheduler()
scheduler.start()
except KeyboardInterrupt:
logger.info("收到中断信号,正在关闭...")
except Exception as e:
logger.error(f"程序运行出错: {e}")
finally:
# 清理资源
if scheduler and scheduler.running:
scheduler.shutdown()
process_checker.remove_pid_file()
logger.info("程序已退出")
if __name__ == "__main__":
main()