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TANGWY 1 year ago
parent b97f549d89 4f7d2f018b
commit 315f1470ec
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  1. 144
      conf/defaultRule.json
  2. 210
      corn/log_alarm.py
  3. 142
      cron/log_alarm.py
  4. 0
      cron/ueba_cron.py
  5. 0
      cron/ueba_cron_data_insert.py
  6. 21
      cron/ueba_cron_pg.py
  7. 44
      files/2024-07-13.json
  8. 2
      install.py
  9. 21
      jobs/jobmeta.json
  10. 819
      mock/mock_data.json
  11. 221
      mock/mock_data2.json
  12. 6
      package.json
  13. 14
      right_config.json
  14. 292
      utils/base_dataclean.py
  15. 122
      utils/base_dataclean_pg.py
  16. 281
      utils/dashboard_data.py
  17. 40
      utils/dashboard_data_conversion.py
  18. 59
      utils/dashboard_data_pg.py
  19. 38
      utils/db2json.py
  20. 90
      utils/es_operation.py
  21. 124
      utils/file_to_pg.py
  22. 4
      views/dashboard_views.py

144
conf/defaultRule.json
Unescape View File

@ -1,38 +1,150 @@
{ {
"white_list": { "white_list": {
"ip": [ "ip": [
400000, 510400,
400001 510401,
510402,
510405,
510406,
510407,
510404,
510403,
510030,
510031,
510009,
510008,
510004,
510408,
510410,
510409
], ],
"account": [ "account": [
400000, 510400,
400001 510401,
510402,
510405,
510406,
510407,
510404,
510403,
510030,
510031,
510009,
510008,
510004,
510408,
510410,
510409
], ],
"interface": [ "interface": [
400000, 510400,
400001 510401,
510402,
510405,
510406,
510407,
510404,
510403,
510030,
510031,
510009,
510008,
510004,
510408,
510410,
510409
], ],
"menu": [ "menu": [
400000, 510400,
400001 510401,
510402,
510405,
510406,
510407,
510404,
510403,
510030,
510031,
510009,
510008,
510004,
510408,
510410,
510409
] ]
}, },
"grey_list": { "grey_list": {
"ip": [ "ip": [
400000, 510400,
400001 510401,
510402,
510405,
510406,
510407,
510404,
510403,
510030,
510031,
510009,
510008,
510004,
510408,
510410,
510409
], ],
"account": [ "account": [
400000, 510400,
400001 510401,
510402,
510405,
510406,
510407,
510404,
510403,
510030,
510031,
510009,
510008,
510004,
510408,
510410,
510409
], ],
"interface": [ "interface": [
400000, 510400,
400001 510401,
510402,
510405,
510406,
510407,
510404,
510403,
510030,
510031,
510009,
510008,
510004,
510408,
510410,
510409
], ],
"menu": [ "menu": [
400000, 510400,
400001 510401,
510402,
510405,
510406,
510407,
510404,
510403,
510030,
510031,
510009,
510008,
510004,
510408,
510410,
510409
] ]
} }
} }

210
corn/log_alarm.py
Unescape View File

@ -1,210 +0,0 @@
# coding:utf-8
import sys
import uuid
import json
import time
import random
path = str(sys.path[0])
home_path = path.split("isop_uebaapiData")[0]
sys.path.append(home_path)
from isop_uebaapiData.util import send_logs
def alarm(cookies, api):
"""2、HTTP日志"""
inputstr = '''[{"msgtype":1,"hash":"8DE9-BDAB-F622-2FA8","dev_ip":"10.67.5.17","product":"uts"},{"sid":"6004744450036c44f815500016d00a5f5151105430a3ed","timestamp":1567673939,"sip":"10.67.0.52","sport":5624,"dip":"10.67.0.53","dport":80,"protocol":6,"app":3087428650795009,"app_proto":8,"direct":4,"app.detail":{"method":"GET","http_protocol":"1.1","ret_code":200,"host":"10.67.1.1","uri":"/webtest/uploadFile.php","referer":"http://[2222::65]/webtest/","content_type":" multipart/form-data; boundary=----WebKitFormBoundary2zcCUl4lQf1h7A7S","content_type_server":" text/html","server":"Apache/2.4.4 (Win32) OpenSSL/0.9.8y PHP/5.4.19","user_agent":"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36","link":"","cookies":"loginmainacctid=wangshiguang;operatorId=d2601586;com.huawei.boss.CURRENT_MENUID=BLAR_ChargeCrm3_WEB;","content_encoding":"","location":"","content_length":70080,"content_length_server":200,"set_cookie":"","range":"","connection":"keep-alive","connection_server":"Keep-Alive","x_forwarded_for":"","post_data":"LS0tLS0tV2ViS2l0Rm9ybUJvdW5kYXJ5MnpjQ1VsNGxRZjFoN0E3Uw0KQ29udGVudC1EaXNwb3NpdGlvbjogZm9ybS1kYXRhOyBuYW1lPSJmaWxlIjsgZmlsZW5hbWU9IjAwMDFhZDQ0MWRjYjM4NjIxOGE3Njk5MmFjZjhiNzA1Ig0=","response_body":"VXBsb2FkOiAwMDAxYWQ0NDFkY2IzODYyMThhNzY5OTJhY2Y4YjcwNTxiciAvPlR5cGU6IGFwcGxpY2F0aW9uL29jdGV0LXN0cmVhbTxiciAvPlNpemU6IDY4LjEyNzkyOTY4NzUgS2I8YnIgLz5UZW1wIGZpbGU6IEQ6XHhhbXBwXHRtcFxwaHA2ODI1LnRtcDxiciAvPjAwMDFhZDQ0MWRjYjM4NjIxOGE3Njk5MmFjZjhiNzA1IGFscmVhZHkgZXhpc3RzLiA="}}]'''
inputarr = json.loads(inputstr, strict=False)
# 随机生成timestamp
inputarr[1]["timestamp"] = 1720782138
inputarr[1]["sid"] = str(uuid.uuid1())
# inputarr[1]["sip"] = "10.67.4.33"
inputarr[1]["sip"] = generate_random_ip()
inputarr[1]["dip"] = "10.67.1.1"
inputarr[1]["dport"] = "8180"
inputarr[1]["app.detail"]["uri"] = "/alarmtest.action?BMECID=352432757&BMETimestamp=1692788489260&queryNumber=158713459"
inputarr[1]["app.detail"]["host"] = api
inputarr[1]["app.detail"]["cookies"] = cookies
return json.dumps(inputarr)
def generate_random_ip():
# 固定前缀 "192.168."
prefix = "192.168."
# 生成随机的第三和第四段IP地址
third_octet = random.randint(0, 255)
fourth_octet = random.randint(0, 255)
# 拼接IP地址
ip = "{}{}.{}".format(prefix, third_octet, fourth_octet)
return ip
def AbIDVisitAPINums510404():
datalist = {"TCP_5011": list()}
ID2Area = {
"武汉": ["1101820", "1101821", "1101822", "1101823", "1101825"],
"荆州": ["2001800", "2001801", "2001808"],
"江汉": ["1801820", "1801810"],
"省公司市场部": ["1002011", "1002012", "1002013"]
}
api_list = ["test.alarm.com/webtest", "alarm.com/testalarm", "business.system..alarmcom", "hhh.alarm.com",
"good.alarm.com"]
info_list = [
["u-locale=zh_CN;loginmainacctid=zhang3;operatorId=" + ID2Area["武汉"][
0] + ";com.huawei.boss.CURRENT_MENUID=BLAR_ChargeCrm3_WEB;", 60],
["u-locale=zh_CN;loginmainacctid=zhang3;operatorId=" + ID2Area["荆州"][
2] + ";com.huawei.boss.CURRENT_MENUID=BLAR_ChargeCrm3_WEB;", 120]
]
for i in range(len(info_list)):
cookies = info_list[i][0]
count = info_list[i][1]
for j in range(count):
api = random.choice(api_list)
datalist["TCP_5011"].append(alarm(cookies, api))
for key in datalist.keys():
send_logs(datalist[key])
return "510405场景的告警数据已生成"
def get_random_jobnum():
# 定义包含不同前缀的字符串数组
prefix_strings = [
['10243', '10895', '10134', '10781', '10962'], # 10打头的字符串示例
['11089', '11057', '11023', '11016', '11030'], # 110打头的字符串示例
['14076', '14049', '14098', '14032', '14061'], # 140打头的字符串示例
['26054', '26013', '26087', '26029', '26061'], # 260打头的字符串示例
['20083', '20015', '20072', '20096', '20048'], # 200打头的字符串示例
['19035', '19017', '19049', '19082', '19096'], # 190打头的字符串示例
['180237', '180276', '180204', '180295', '180219'] # 1802打头的字符串示例
]
# 随机选择一个前缀数组
selected_prefix_array = random.choice(prefix_strings)
# 随机选择一个具体的字符串
selected_string = random.choice(selected_prefix_array)
return selected_string
def get_random_person():
people_list = [
"Alice", "Bob", "Charlie", "David", "Emma", "Frank", "Grace", "Henry", "Isabel", "Jack",
"Kate", "Liam", "Mia", "Noah", "Olivia", "Patrick", "Quinn", "Rachel", "Samuel", "Taylor",
"Ursula", "Victor", "Wendy", "Xavier", "Yvonne", "Zachary", "Amelia", "Benjamin", "Catherine",
"Daniel", "Ella", "Finn", "Gabriella", "Hugo", "Isabella", "Jacob", "Katherine", "Lucas",
"Madeline", "Nathan", "Olivia", "Peter", "Quincy", "Riley", "Sophia", "Thomas", "Uma",
"Vincent", "Willa", "Xander", "Yasmine", "Zoe", "Aaron", "Bella", "Connor", "Daisy", "Ethan",
"Freya", "George", "Hannah", "Isaac", "Julia", "Kevin", "Lily", "Matthew", "Nora", "Owen",
"Penelope", "Quentin", "Rebecca", "Samantha", "Tristan", "Ursula", "Violet", "Wyatt", "Ximena",
"Yara", "Zane", "Anna", "Blake", "Charlotte", "David", "Eva", "Felix", "Grace", "Hector",
"Ivy", "James", "Kylie", "Luna", "Milo", "Natalie", "Oscar", "Paige", "Quinn", "Ruby",
"Simon", "Tessa", "Uriel", "Victoria", "Wesley", "Xavier", "Yasmine", "Zara"
# 继续添加更多的名称...
]
random_person = random.choice(people_list)
return random_person
def get_random_menu():
# 定义系统菜单列表
system_menu = [
"主页", "设置", "个人资料", "消息", "通知", "帮助", "帐户", "关于", "联系我们", "服务",
"购物车", "订单", "支付", "地址", "密码", "登出", "登入", "注册", "搜索", "反馈",
"隐私政策", "条款与条件", "FAQ", "文档", "论坛", "博客", "新闻", "视频", "图片", "音频",
"下载", "上传", "社交", "分享", "喜欢", "收藏", "评论", "点赞", "订阅", "播放列表",
"播放历史", "推荐", "推广", "活动", "招聘", "加入我们", "团队", "合作伙伴", "协议",
"项目", "贡献", "捐赠", "赞助", "开发", "设计", "产品", "技术支持", "客户支持",
"销售", "市场营销", "业务", "管理", "数据", "分析", "报告", "绩效", "策略",
"创新", "优化", "测试", "安全", "备份", "恢复", "更新", "版本", "发布",
"变更日志", "许可证", "授权", "注册码", "订购", "付款方式", "配置", "设置向导", "快捷方式",
"自定义", "调整", "模板", "样式", "主题", "颜色", "字体", "大小", "布局",
"格式", "检查更新", "下载中心", "资源", "链接", "网站地图", "计划", "时间表", "日历",
"事件", "提醒", "警报", "通讯录", "联系人", "目录", "分类", "标签", "搜索结果",
"页面", "文章", "产品", "服务", "项目", "案例", "作品", "示例", "演示",
"展示", "参考", "指南", "教程", "培训", "学习", "认证", "证书", "奖章",
"徽章", "勋章", "成就", "积分", "排名", "比赛", "竞赛", "评估", "评价",
"考核", "调查", "研究", "分析", "文章", "书籍", "参考文献", "论文", "报告",
"期刊", "杂志", "图书馆", "书架", "存档", "档案", "历史", "数据", "统计",
"指标", "指数", "系列", "序列", "集合", "列表", "图表", "图形", "统计",
"数字", "计数", "数量", "比率", "百分比", "概述", "汇总", "详情", "全球",
"国家", "地区", "城市", "位置", "地点", "位置", "方向", "距离", "路线",
"导航", "地图", "位置", "坐标", "GPS", "导航", "位置", "追踪", "监控",
"控制台", "管理面板", "仪表板", "仪表盘", "仪表板", "仪表盘", "指示灯", "信号", "状态",
"进度", "完成", "处理", "操作", "任务", "流程", "工作流", "记录", "日志",
"日志", "评论", "反馈", "意见", "建议", "建议", "改进建议", "问题", "解决方案",
"答案", "解释", "说明", "描述", "详情", "信息", "数据", "内容", "媒体",
"文档", "文件", "附件", "图像", "图片", "照片", "图表", "图形", "表格",
"表单", "输入", "输出", "导入", "导出", "分享", "链接", "电子邮件", "消息",
"聊天", "对话", "会话", "会议", "通话", "视频", "音频", "音乐", "歌曲",
"播放", "暂停", "停止", "跳过", "前进", "回放", "录制", "编辑", "剪辑",
"修剪", "调整", "滤镜", "效果", "转换", "格式", "编码", "解码", "播放器",
"播放列表", "收藏夹", "书签", "标签", "标签", "评论", "反馈", "评分", "评级",
"排名", "推荐", "推广", "广告", "宣传", "促销", "优惠", "折扣", "优惠券",
"礼品卡", "优惠码", "资料", "信息", "内容", "资源", "资产", "库存", "存储",
"存储", "备份", "还原", "升级", "更新", "版本", "修复", "修复", "故障",
"错误", "问题", "错误", "故障", "问题", "警告", "异常", "异常", "异常",
"重试", "恢复", "恢复", "取消", "撤销", "回滚", "复制", "粘贴", "剪切",
"移动", "重命名", "删除", "清除", "清理", "清除", "清理", "优化", "优化",
"增加", "增强", "强化", "加强", "改进", "改善", "优化", "优化", "设计",
"开发", "测试", "部署", "配置", "设置", "安装", "卸载", "升级", "更新",
"修复", "修正", "修补", "更新", "安全", "保护", "防护", "防御", "防止",
"检查", "扫描", "监控", "跟踪", "追踪", "审计", "审查", "测试", "测量"
]
# 随机选择一个菜单项
random_menu_item = random.choice(system_menu)
return random_menu_item
if __name__ == '__main__':
datalist = {"TCP_5011": list()}
ID2Area = {
"武汉": ["1101820", "1101821", "1101822", "1101823", "1101825"],
"荆州": ["2001800", "2001801", "2001808"],
"江汉": ["1801820", "1801810"],
"省公司市场部": ["1002011", "1002012", "1002013"]
}
api_list = ["test.alarm.com/webtest", "alarm.com/testalarm", "business.system..alarmcom", "hhh.alarm.com", "good.alarm.com","baidu.com","sohu.com","xinlang.com","erpx.com"]
info_list = [
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 1000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 5000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 5000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 5000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 2000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 2000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 2000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 2000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 1000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 1000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 1000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 1000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 1000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 1000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 1000]
]
for i in range(len(info_list)):
cookies = info_list[i][0]
count = info_list[i][1]
for j in range(count):
api = random.choice(api_list)
datalist["TCP_5011"].append(alarm(cookies, api))
for key in datalist.keys():
send_logs(datalist[key])
print "510405场景的告警数据已生成"

142
cron/log_alarm.py
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@ -0,0 +1,142 @@
# coding:utf-8
import sys
import uuid
import json
import time
import random
path = str(sys.path[0])
home_path = path.split("isop_uebaapiData")[0]
sys.path.append(home_path)
from isop_uebaapiData.util import send_logs
def alarm(cookies, api):
"""2、HTTP日志"""
inputstr = '''[{"msgtype":1,"hash":"8DE9-BDAB-F622-2FA8","dev_ip":"10.67.5.17","product":"uts"},{"sid":"6004744450036c44f815500016d00a5f5151105430a3ed","timestamp":1567673939,"sip":"10.67.0.52","sport":5624,"dip":"10.67.0.53","dport":80,"protocol":6,"app":3087428650795009,"app_proto":8,"direct":4,"app.detail":{"method":"GET","http_protocol":"1.1","ret_code":200,"host":"10.67.1.1","uri":"/webtest/uploadFile.php","referer":"http://[2222::65]/webtest/","content_type":" multipart/form-data; boundary=----WebKitFormBoundary2zcCUl4lQf1h7A7S","content_type_server":" text/html","server":"Apache/2.4.4 (Win32) OpenSSL/0.9.8y PHP/5.4.19","user_agent":"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36","link":"","cookies":"loginmainacctid=wangshiguang;operatorId=d2601586;com.huawei.boss.CURRENT_MENUID=BLAR_ChargeCrm3_WEB;","content_encoding":"","location":"","content_length":70080,"content_length_server":200,"set_cookie":"","range":"","connection":"keep-alive","connection_server":"Keep-Alive","x_forwarded_for":"","post_data":"LS0tLS0tV2ViS2l0Rm9ybUJvdW5kYXJ5MnpjQ1VsNGxRZjFoN0E3Uw0KQ29udGVudC1EaXNwb3NpdGlvbjogZm9ybS1kYXRhOyBuYW1lPSJmaWxlIjsgZmlsZW5hbWU9IjAwMDFhZDQ0MWRjYjM4NjIxOGE3Njk5MmFjZjhiNzA1Ig0=","response_body":"VXBsb2FkOiAwMDAxYWQ0NDFkY2IzODYyMThhNzY5OTJhY2Y4YjcwNTxiciAvPlR5cGU6IGFwcGxpY2F0aW9uL29jdGV0LXN0cmVhbTxiciAvPlNpemU6IDY4LjEyNzkyOTY4NzUgS2I8YnIgLz5UZW1wIGZpbGU6IEQ6XHhhbXBwXHRtcFxwaHA2ODI1LnRtcDxiciAvPjAwMDFhZDQ0MWRjYjM4NjIxOGE3Njk5MmFjZjhiNzA1IGFscmVhZHkgZXhpc3RzLiA="}}]'''
inputarr = json.loads(inputstr, strict=False)
# 随机生成timestamp
inputarr[1]["timestamp"] = int(time.time())
inputarr[1]["sid"] = str(uuid.uuid1())
# inputarr[1]["sip"] = "10.67.4.33"
inputarr[1]["sip"] = generate_random_ip()
inputarr[1]["dip"] = "10.67.1.1"
inputarr[1]["dport"] = "8180"
inputarr[1]["app.detail"]["uri"] = "/alarmtest.action?BMECID=352432757&BMETimestamp=1692788489260&queryNumber=158713459"
inputarr[1]["app.detail"]["host"] = api
inputarr[1]["app.detail"]["cookies"] = cookies
return json.dumps(inputarr)
def generate_random_ip():
# 固定前缀 "192.168."
prefix = "192.168."
# 生成随机的第三和第四段IP地址
third_octet = 1
fourth_octet = random.randint(0, 50)
# 拼接IP地址
ip = "{}{}.{}".format(prefix, third_octet, fourth_octet)
return ip
def AbIDVisitAPINums510404():
datalist = {"TCP_5011": list()}
ID2Area = {
"武汉": ["1101820", "1101821", "1101822", "1101823", "1101825"],
"荆州": ["2001800", "2001801", "2001808"],
"江汉": ["1801820", "1801810"],
"省公司市场部": ["1002011", "1002012", "1002013"]
}
api_list = ["test.alarm.com/webtest", "alarm.com/testalarm", "business.system..alarmcom", "hhh.alarm.com",
"good.alarm.com"]
info_list = [
["u-locale=zh_CN;loginmainacctid=zhang3;operatorId=" + ID2Area["武汉"][
0] + ";com.huawei.boss.CURRENT_MENUID=BLAR_ChargeCrm3_WEB;", 60],
["u-locale=zh_CN;loginmainacctid=zhang3;operatorId=" + ID2Area["荆州"][
2] + ";com.huawei.boss.CURRENT_MENUID=BLAR_ChargeCrm3_WEB;", 120]
]
for i in range(len(info_list)):
cookies = info_list[i][0]
count = info_list[i][1]
for j in range(count):
api = random.choice(api_list)
datalist["TCP_5011"].append(alarm(cookies, api))
for key in datalist.keys():
send_logs(datalist[key])
return "510405场景的告警数据已生成"
def get_random_jobnum():
# 定义包含不同前缀的字符串数组
prefix_strings = [
['10243', '10895', '10134', '10781', '10962'], # 10打头的字符串示例
['11089', '11057', '11023', '11016', '11030'], # 110打头的字符串示例
['14076', '14049', '14098', '14032', '14061'], # 140打头的字符串示例
['26054', '26013', '26087', '26029', '26061'], # 260打头的字符串示例
['20083', '20015', '20072', '20096', '20048'], # 200打头的字符串示例
['19035', '19017', '19049', '19082', '19096'], # 190打头的字符串示例
['180237', '180276', '180204', '180295', '180219'] # 1802打头的字符串示例
]
# 随机选择一个前缀数组
selected_prefix_array = random.choice(prefix_strings)
# 随机选择一个具体的字符串
selected_string = random.choice(selected_prefix_array)
return selected_string
def get_random_person():
people_list = [
"Alice", "Bob", "Charlie", "David", "Emma", "Frank", "Grace", "Henry", "Isabel", "Jack",
"Kate", "Liam", "Mia", "Noah", "Olivia"
# 继续添加更多的名称...
]
random_person = random.choice(people_list)
return random_person
def get_random_menu():
# 定义系统菜单列表
system_menu = [
"主页", "设置", "个人资料", "消息", "通知", "帮助", "帐户", "关于", "联系我们", "服务",
"购物车", "订单", "支付", "地址", "密码"
]
# 随机选择一个菜单项
random_menu_item = random.choice(system_menu)
return random_menu_item
if __name__ == '__main__':
datalist = {"TCP_5011": list()}
ID2Area = {
"武汉": ["1101820", "1101821", "1101822", "1101823", "1101825"],
"荆州": ["2001800", "2001801", "2001808"],
"江汉": ["1801820", "1801810"],
"省公司市场部": ["1002011", "1002012", "1002013"]
}
api_list = ["test.alarm.com/webtest", "alarm.com/testalarm", "business.system..alarmcom", "hhh.alarm.com", "good.alarm.com","baidu.com","sohu.com","xinlang.com","erpx.com"]
info_list = [
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 1000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000],
["u-locale=zh_CN; loginmainacctid="+get_random_person()+"; userticket=209@9889@23223@10.0.1.183@lis8; operatorId=" + get_random_jobnum() + "; com.huawei.boss.CURRENT_MENUID="+get_random_menu()+";", 3000]
]
for i in range(len(info_list)):
cookies = info_list[i][0]
count = info_list[i][1]
for j in range(count):
api = random.choice(api_list)
datalist["TCP_5011"].append(alarm(cookies, api))
for key in datalist.keys():
send_logs(datalist[key])
print "510405场景的告警数据已生成"

0
corn/ueba_corn.py → cron/ueba_cron.py
Unescape View File

0
corn/ueba_corn_data_insert.py → cron/ueba_cron_data_insert.py
Unescape View File

21
corn/ueba_corn_pg.py → cron/ueba_cron_pg.py
Unescape View File

@ -32,14 +32,26 @@ class UserCron:
#每5分钟执行一次 #每5分钟执行一次
def processing(self): def processing(self):
logger_cron.info("JOB：接收到执行指令")
job_id =self.generate_job_id() job_id =self.generate_job_id()
task_run_count =0
try: try:
start,end,status,run_count,jobid= DBUtils.get_job_period()
if jobid !="":
job_id=jobid
logger_cron.info("JOB："+job_id+"开始执行") logger_cron.info("JOB："+job_id+"开始执行")
start,end= DBUtils.get_job_period() if status ==1:
logger_cron.info("JOB："+job_id+"正在运行中不执行")
return
if status==3 and run_count >3:
logger_cron.info("JOB："+job_id+"失败次数大于3不执行")
return
if start is None or end is None: if start is None or end is None:
logger_cron.info("JOB："+job_id+"结束时间大于服务器时间不执行") logger_cron.info("JOB："+job_id+"结束时间大于(服务器时间-15分钟）不执行")
return return
task_run_count = run_count+1
logger_cron.info("JOB："+job_id+"运行参数:{},{}".format(start,end)) logger_cron.info("JOB："+job_id+"运行参数:{},{}".format(start,end))
logger_cron.info("JOB："+job_id+"准备将job写入job表") logger_cron.info("JOB："+job_id+"准备将job写入job表")
DBUtils.insert_job_record(job_id,start,end,JOB_STATUS.get("RUNNING")) DBUtils.insert_job_record(job_id,start,end,JOB_STATUS.get("RUNNING"))
@ -48,12 +60,13 @@ class UserCron:
logger_cron.info("JOB："+job_id+"准备获取es数据") logger_cron.info("JOB："+job_id+"准备获取es数据")
entry(start,end,job_id) entry(start,end,job_id)
logger_cron.info("JOB："+job_id+"完成es数据获取") logger_cron.info("JOB："+job_id+"完成es数据获取")
DBUtils.write_job_status(job_id,JOB_STATUS.get("FINISH"),"") DBUtils.write_job_status(job_id,JOB_STATUS.get("FINISH"),"",task_run_count)
logger_cron.info("JOB："+job_id+"更新job表状态完成") logger_cron.info("JOB："+job_id+"更新job表状态完成")
except Exception ,e: except Exception ,e:
err_info=traceback.format_exc() err_info=traceback.format_exc()
logger_cron.error("JOB："+job_id+"执行失败:"+err_info) logger_cron.error("JOB："+job_id+"执行失败:"+err_info)
DBUtils.write_job_status(job_id,JOB_STATUS.get("ERROR"),err_info) DBUtils.write_job_status(job_id,JOB_STATUS.get("ERROR"),err_info,task_run_count)
raise raise
if __name__ == '__main__': if __name__ == '__main__':

44
files/2024-07-13.json
Unescape View File

@ -1,44 +0,0 @@
{
"ip":[
{
"ip":"192.168.1.1",
"jobnum":"1122222",
"count":212
},
{
"ip":"192.168.2.1",
"jobnum":"1122222",
"count":212
}
],
"account":[
{
"account":"zhangs",
"jobnum":"1122222",
"count":212
},
{
"account":"zhang3",
"jobnum":"112222",
"count":211
}
],
"interface":[
{
"interface":"www.baidu.com/user",
"jobnum":"1122222",
"account":"zhangs",
"ip":"192.168.1.1",
"count":212
}
],
"menu":[
{
"menu":"菜单1",
"jobnum":"1122222",
"account":"zhangs",
"ip":"192.168.1.1",
"count":212
}
]
}

2
install.py
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@ -76,7 +76,7 @@ class Install():
def install(self): def install(self):
try: try:
installDBSchema(["pg_struct.sql"]) installDBSchema(["pg_struct.sql","pg_data.sql"])
add_task() add_task()
logger.info('>>>安装结束！！！') logger.info('>>>安装结束！！！')
except Exception as e: except Exception as e:

21
jobs/jobmeta.json
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@ -1,13 +1,24 @@
[ [
{ {
"task_name": "ueba_corn", "task_name": "ueba_cron",
"task_type": 1, "task_type": 1,
"exec_cmd": "python /home/master/ISOP/apps/uebaMetricsAnalysis/corn/ueba_corn.py", "exec_cmd": "python /home/master/ISOP/apps/uebaMetricsAnalysis/cron/ueba_cron_pg.py",
"task_owner": "uebaMetricsAnalysis", "task_owner": "uebaMetricsAnalysis",
"run_mode": 1, "run_mode": 1,
"duration_args": "*/2 * * * * *", "duration_args": "0 */1 * * * ?",
"retry_nums": 5, "retry_nums": 0,
"is_enable": 1, "is_enable": 1,
"task_description": "每天执行一次 清洗数据到es-ueba索引" "task_description": "每分钟执行一次数据清洗"
},
{
"task_name": "ueba_cron_data_insert",
"task_type": 1,
"exec_cmd": "python /home/master/ISOP/apps/uebaMetricsAnalysis/cron/ueba_cron_data_insert.py",
"task_owner": "uebaMetricsAnalysis",
"run_mode": 1,
"duration_args": "0 0 3 * * ?",
"retry_nums": 0,
"is_enable": 1,
"task_description": "每天执行一次 将汇总数据写入pg"
} }
] ]

819
mock/mock_data.json
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@ -2,191 +2,784 @@
"summary": { "summary": {
"ip": [ "ip": [
{ {
"company": "湖北公司", "company": "宜昌分公司",
"req_frequency": 122, "req_frequency": 517,
"frequency_rate": 0.2, "frequency_rate": 17.1475953565506,
"ip_count": 323, "ip_count": 8,
"ip_reat": 0.3, "ip_rate": 0.195121951219512,
"ip_avg": 0.43, "ip_avg": 2.14344941956882,
"trend": 0.3 "trend": 0.09
}, },
{ {
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}, },
{ {
"menu_name": "接口地址", "menu_name": "菜单3",
"req_frequency": 122, "req_frequency": 61,
"req_ip": "xxx.xx.xx.x", "req_ip": "192.146.3.43",
"req_account": 0.2, "req_account": "xiaod01",
"req_jobnum": 0.2 "req_jobnum": "65343"
} }
] ]
} }

221
mock/mock_data2.json
Unescape View File

@ -0,0 +1,221 @@
{
"summary": {
"ip": [
{
"company": "孝感分公司",
"req_frequency": 122,
"frequency_rate": 0.2,
"ip_count": 323,
"ip_rate": 0.3,
"ip_avg": 0.43,
"trend": 0.3
},
{
"company": "宜昌分公司",
"req_frequency": 122,
"frequency_rate": 0.2,
"ip_count": 323,
"ip_rate": 0.3,
"ip_avg": 0.43,
"trend": 0.3
},
{
"company": "随州分公司",
"req_frequency": 122,
"frequency_rate": 0.2,
"ip_count": 323,
"ip_rate": 0.3,
"ip_avg": 0.43,
"trend": 0.3
},
{
"company": "黄冈分公司",
"req_frequency": 122,
"frequency_rate": 0.2,
"ip_count": 323,
"ip_rate": 0.3,
"ip_avg": 0.43,
"trend": 0.3
},
{
"company": "省公司",
"req_frequency": 122,
"frequency_rate": 0.2,
"ip_count": 323,
"ip_rate": 0.3,
"ip_avg": 0.43,
"trend": 0.3
}
],
"account": [
{
"company": "湖北公司",
"req_frequency": 122,
"frequency_rate": 0.2,
"account_count": 323,
"account_rate": 0.3,
"account_avg": 0.43,
"trend": 0.3
},
{
"company": "宜昌公司",
"req_frequency": 122,
"frequency_rate": 0.2,
"account_count": 323,
"account_rate": 0.3,
"account_avg": 0.43,
"trend": 0.3
}
],
"interface": [
{
"interface_addr": "/getuser",
"req_frequency": 122,
"frequency_rate": 0.2,
"frequency_avg": 0.43,
"trend": 0.3
},
{
"interface_addr": "/getcpminfo",
"req_frequency": 122,
"frequency_rate": 0.2,
"frequency_avg": 0.43,
"trend": 0.3
}
],
"menu": [
{
"menu_name": "接口地址",
"req_frequency": 122,
"frequency_rate": 0.2,
"frequency_avg": 0.43,
"trend": 0.3
},
{
"menu_name": "接口地址",
"req_frequency": 122,
"frequency_rate": 0.2,
"frequency_avg": 0.43,
"trend": 0.3
}
]
},
"detail": {
"ip": {
"湖北公司": [
{
"req_ip": "xxx.xx.xx.x",
"req_frequency": 22
},
{
"req_ip": "xx1x.xx.xx.x",
"req_frequency": 21
}
],
"宜昌公司": [
{
"req_ip": "xxx.xx.xx.x",
"req_frequency": 22
},
{
"req_ip": "xx1x.xx.xx.x",
"req_frequency": 21
}
]
},
"account": {
"湖北公司": [
{
"req_account": "admin",
"req_frequency": 22,
"req_jobnum": 98799
},
{
"req_account": "admin",
"req_frequency": 22,
"req_jobnum": 98799
}
],
"宜昌公司": [
{
"req_account": "admin",
"req_frequency": 22,
"req_jobnum": 98799
},
{
"req_account": "admin",
"req_frequency": 22,
"req_jobnum": 98799
}
]
},
"interface": {
"接口1": [
{
"interface_addr": "接口地址",
"req_frequency": 122,
"req_ip": "xxx.xx.xx.x",
"req_account": 0.2,
"req_jobnum": 0.2
},
{
"interface_addr": "接口地址",
"req_frequency": 122,
"req_ip": "xxx.xx.xx.x",
"req_account": 0.2,
"req_jobnum": 0.2
}
],
"接口2": [
{
"interface_addr": "接口地址",
"req_frequency": 122,
"req_ip": "xxx.xx.xx.x",
"req_account": 0.2,
"req_jobnum": 0.2
},
{
"interface_addr": "接口地址",
"req_frequency": 122,
"req_ip": "xxx.xx.xx.x",
"req_account": 0.2,
"req_jobnum": 0.2
}
]
},
"menu": {
"菜单1": [
{
"menu_name": "接口地址",
"req_frequency": 122,
"req_ip": "xxx.xx.xx.x",
"req_account": 0.2,
"req_jobnum": 0.2
},
{
"menu_name": "接口地址",
"req_frequency": 122,
"req_ip": "xxx.xx.xx.x",
"req_account": 0.2,
"req_jobnum": 0.2
}
],
"菜单2": [
{
"menu_name": "接口地址",
"req_frequency": 122,
"req_ip": "xxx.xx.xx.x",
"req_account": 0.2,
"req_jobnum": 0.2
},
{
"menu_name": "接口地址",
"req_frequency": 122,
"req_ip": "xxx.xx.xx.x",
"req_account": 0.2,
"req_jobnum": 0.2
}
]
}
}
}

6
package.json
Unescape View File

@ -1,8 +1,8 @@
{ {
"name": "UebaMetricsAnalysis", "name": "uebaMetricsAnalysis",
"version": "V3.0R01F00", "version": "V3.0R01F00",
"menuurl": "/UebaMetricsAnalysis", "menuurl": "/uebaMetricsAnalysis",
"menuregx": "^/UebaMetricsAnalysis", "menuregx": "^/uebaMetricsAnalysis",
"menuname": "指标晾晒统计", "menuname": "指标晾晒统计",
"summary": "指标晾晒统计", "summary": "指标晾晒统计",
"platform_mode": "simple_mode", "platform_mode": "simple_mode",

14
right_config.json
Unescape View File

@ -1,16 +1,16 @@
{ {
"name": "指标晾晒统计", "name": "指标晾晒统计",
"key": "UebaMetricsAnalysis", "key": "uebaMetricsAnalysis",
"prefix": "UebaMetricsAnalysis", "prefix": "uebaMetricsAnalysis",
"allfix": [ "allfix": [
"^/UebaMetricsAnalysis" "^/uebaMetricsAnalysis"
], ],
"fix": [ "fix": [
"^/UebaMetricsAnalysis" "^/uebaMetricsAnalysis"
], ],
"link": "/WebApi/UebaMetricsAnalysis/static/dist/#/", "link": "/WebApi/uebaMetricsAnalysis/static/dist/#/",
"pinyin": "zhibiaoliangshaitongji", "pinyin": "zhibiaoliangshaitongji",
"app_name": "UebaMetricsAnalysis", "app_name": "uebaMetricsAnalysis",
"children": [ "children": [
], ],
@ -18,6 +18,6 @@
1 1
], ],
"role_menu_register":{ "role_menu_register":{
"指标晾晒统计": "UebaMetricsAnalysis" "指标晾晒统计": "uebaMetricsAnalysis"
} }
} }

292
utils/base_dataclean.py
Unescape View File

@ -1,292 +0,0 @@
#encoding=utf-8
import json
import time,datetime
import traceback
from datetime import datetime, timedelta
import calendar
from esUtil import EsUtil
import pytz
size = 1000# 可以根据实际情况调整
##01 创建索引
def createIndex(index):
map={
"data_type":"keyword",
"req_account":"keyword",
"req_frequency":"integer",
"req_jobnum":"keyword",
"interface_addr":"keyword",
"req_ip":"ip",
"menu_name":"keyword",
"date_time":"date"
}
es_util_instance = EsUtil()
reqs = es_util_instance.is_index_exist(index)
if reqs =="false":
try:
res = es_util_instance.create_index_simple(index,map)
except Exception,e:
print e.message
## IP维度
def get_ip_group_data(index,startTime,endTime):
try:
query_body={
"size": 0,
"query": {
"range": {"timestamp": {"gte": startTime,"lte": endTime}}
},
"aggs": {
"composite_buckets": {
"composite": {
"size": size,
"sources": [
{"sip": { "terms": {"field": "sip"} }},
{"trojan_type": { "terms": { "field": "trojan_type"}}}
]
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas=[]
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
try:
response = es_util_instance.search(index,query_body)
except Exception,e:
print "err"
for bucket in response["aggregations"]["composite_buckets"]["buckets"]:
data = {
"data_type": "ip",
"req_account": "",
"req_frequency": bucket['doc_count'],
"req_jobnum": bucket['key']['trojan_type'] ,
"interface_addr": "",
"req_ip":bucket['key']['sip'] ,
"menu_name": "",
"date_time": int(time.time() * 1000) # 当前时间，使用isoformat格式化
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
except Exception,e:
print "x_err:"+e.message
return datas
## 账号维度
def get_account_group_data(index,startTime,endTime):
query_body={
"size": 0,
"query": {
"range": {"timestamp": {"gte": startTime,"lte": endTime}}
},
"aggs": {
"composite_buckets": {
"composite": {
"size": size,
"sources": [
{"account": { "terms": {"field": "account"} }},
{"trojan_type": { "terms": { "field": "trojan_type"}}}
]
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas=[]
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
for bucket in response["aggregations"]["composite_buckets"]["buckets"]:
#print(bucket['key']['sip'] + ":" + str(bucket['doc_count']))
data = {
"data_type": "account",
"req_account": bucket['key']['account'],
"req_frequency": bucket['doc_count'],
"req_jobnum": bucket['key']['trojan_type'] ,
"interface_addr": "",
"req_ip":"0.0.0.0" ,
"menu_name": "",
"date_time": int(time.time() * 1000) # 当前时间，使用isoformat格式化
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
## 接口维度
def get_interface_group_data(index,startTime,endTime):
query_body={
"size": 0,
"query": {
"range": {"timestamp": {"gte": startTime,"lte": endTime}}
},
"aggs": {
"composite_buckets": {
"composite": {
"size": size,
"sources": [
{"interface": { "terms": {"field": "interface"} }},
{"sip": { "terms": { "field": "sip"}}},
{"account": { "terms": { "field": "account"}}},
{"trojan_type": { "terms": { "field": "trojan_type"}}},
]
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas=[]
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
for bucket in response["aggregations"]["composite_buckets"]["buckets"]:
#print(bucket['key']['sip'] + ":" + str(bucket['doc_count']))
data = {
"data_type": "interface",
"req_account": bucket['key']['account'],
"req_frequency": bucket['doc_count'],
"req_jobnum": bucket['key']['trojan_type'] ,
"interface_addr": bucket['key']['interface'] ,
"req_ip":bucket['key']['sip'],
"menu_name": "",
"date_time": int(time.time() * 1000) # 当前时间，使用isoformat格式化
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
## 菜单维度
def get_menu_group_data(index,startTime,endTime):
query_body={
"size": 0,
"query": {
"range": {"timestamp": {"gte": startTime,"lte": endTime}}
},
"aggs": {
"composite_buckets": {
"composite": {
"size": size,
"sources": [
{"worm_family": { "terms": {"field": "worm_family"} }},
{"sip": { "terms": { "field": "sip"}}},
{"account": { "terms": { "field": "account"}}},
{"trojan_type": { "terms": { "field": "trojan_type"}}},
]
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas=[]
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
for bucket in response["aggregations"]["composite_buckets"]["buckets"]:
#print(bucket['key']['sip'] + ":" + str(bucket['doc_count']))
data = {
"data_type": "menu",
"req_account": bucket['key']['account'],
"req_frequency": bucket['doc_count'],
"req_jobnum": bucket['key']['trojan_type'] ,
"interface_addr": "" ,
"req_ip":bucket['key']['sip'],
"menu_name": bucket['key']['worm_family'],
"date_time": int(time.time() * 1000) # 当前时间，使用isoformat格式化
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
##03 数据写入
def data_insert(index,data):
es_util_instance = EsUtil()
response = es_util_instance.bulk_insert(index,data)
return response
def clean_data(write_index,read_index,start,end):
data_ip = get_ip_group_data(read_index,start,end)
print "data_ip:"+str(len(data_ip))
data_account = get_account_group_data(read_index,start,end)
print "data_ip:"+str(len(data_account))
data_interface = get_interface_group_data(read_index,start,end)
print "data_ip:"+str(len(data_interface))
data_menu = get_menu_group_data(read_index,start,end)
print "data_ip:"+str(len(data_menu))
res_data = data_ip+data_account+data_interface+data_menu
response = data_insert(write_index,res_data)
print json.dumps(response)
#入口
def entry(write_index,read_index,start,end):
createIndex(write_index)
clean_data(write_index,read_index,start,end)
#前一天的0点0分0秒
def get_start_end_time(hour,minute,second):
# 获取当前日期时间
now = datetime.now()
# 计算昨天的日期时间
yesterday = now - timedelta(days=1)
# 将时间部分设为 00:00:00
yesterday_midnight = yesterday.replace(hour=hour, minute=minute, second=second, microsecond=0)
# 使用 pytz 来获取 UTC 时区对象
utc = pytz.utc
# 将时间对象本地化为 UTC 时区
yesterday_midnight_utc = utc.localize(yesterday_midnight)
# 格式化为带时区的字符串（ISO 8601格式）
formatted_date = yesterday_midnight_utc.strftime("%Y-%m-%dT%H:%M:%SZ")
return formatted_date
def index():
try:
#写入的索引 按月创建,注意跨天的场景
write_index= "b_ueba_2024_07"
read_index ="bsa_traffic*"
#任务执行时间是每天 凌晨12点
#查询的范围 开始时间前一天的0点0分0秒，结束时间是 前一天的23.59.59秒
start = "2024-06-02T00:00:00Z"#get_start_end_time(0,0,0)
end = get_start_end_time(23,59,59)
print start +":"+ end
entry(write_index,read_index,start,end)
except Exception ,e:
print "定时任务执行失败："+traceback.format_exc()
# logger.error("定时任务执行失败：".format(str(e), traceback.format_exc()))
index()

122
utils/base_dataclean_pg.py
Unescape View File

@ -5,6 +5,7 @@ import time,datetime
import traceback import traceback
from datetime import datetime, timedelta from datetime import datetime, timedelta
import calendar import calendar
import codecs
from esUtil import EsUtil from esUtil import EsUtil
from uebaMetricsAnalysis.utils.ext_logging import logger,logger_cron,get_clean_file_path from uebaMetricsAnalysis.utils.ext_logging import logger,logger_cron,get_clean_file_path
@ -22,7 +23,16 @@ def get_ip_group_data(index,startTime,endTime):
query_body={ query_body={
"size": 0, "size": 0,
"query": { "query": {
"range": {"timestamp": {"gt": startTime,"lte": endTime}} "bool": {
"filter": [
{"range": {"timestamp": {"gt": startTime,"lte": endTime}}},
{"bool": {
"must_not": [
{"match_phrase": {"account": ""}}
]
}}
]
}
}, },
"aggs": { "aggs": {
"composite_buckets": { "composite_buckets": {
@ -62,7 +72,16 @@ def get_account_group_data(index,startTime,endTime):
query_body={ query_body={
"size": 0, "size": 0,
"query": { "query": {
"range": {"timestamp": {"gt": startTime,"lte": endTime}} "bool": {
"filter": [
{"range": {"timestamp": {"gt": startTime,"lte": endTime}}},
{"bool": {
"must_not": [
{"match_phrase": {"account": ""}}
]
}}
]
}
}, },
"aggs": { "aggs": {
"composite_buckets": { "composite_buckets": {
@ -105,7 +124,16 @@ def get_interface_group_data(index,startTime,endTime):
query_body={ query_body={
"size": 0, "size": 0,
"query": { "query": {
"range": {"timestamp": {"gt": startTime,"lte": endTime}} "bool": {
"filter": [
{"range": {"timestamp": {"gt": startTime,"lte": endTime}}},
{"bool": {
"must_not": [
{"match_phrase": {"account": ""}}
]
}}
]
}
}, },
"aggs": { "aggs": {
"composite_buckets": { "composite_buckets": {
@ -152,7 +180,16 @@ def get_menu_group_data(index,startTime,endTime):
query_body={ query_body={
"size": 0, "size": 0,
"query": { "query": {
"range": {"timestamp": {"gt": startTime,"lte": endTime}} "bool": {
"filter": [
{"range": {"timestamp": {"gt": startTime,"lte": endTime}}},
{"bool": {
"must_not": [
{"match_phrase": {"account": ""}}
]
}}
]
}
}, },
"aggs": { "aggs": {
"composite_buckets": { "composite_buckets": {
@ -212,6 +249,28 @@ def clean_data(read_index,start,end,jobid):
#todo 读取上一次5分钟的文件，与这5分钟的文件合并 #todo 读取上一次5分钟的文件，与这5分钟的文件合并
#合并完成后 写文件 #合并完成后 写文件
group_and_write_to_file(data_ip, data_account, data_interface, data_menu, start,jobid) group_and_write_to_file(data_ip, data_account, data_interface, data_menu, start,jobid)
#读取大文件
def read_large_json_file(filename, chunk_size=1024*1024*5): # 每次读取5MB的数据
json_object = ''
with codecs.open(filename, 'r', encoding='utf-8') as f:
while True:
chunk = f.read(chunk_size)
if not chunk:
break
json_object += chunk
data = json.loads(json_object)
return data
#写入大文件
def write_large_file(filename, data_list, chunk_size=1024*1024*5):
with codecs.open(filename, 'w', encoding='utf-8') as f:
for i in range(0, len(data_list), chunk_size):
chunk = data_list[i:i + chunk_size]
f.write(chunk)
def group_and_write_to_file(data_ip, data_account, data_interface, data_menu, start,jobid): def group_and_write_to_file(data_ip, data_account, data_interface, data_menu, start,jobid):
ipGroupStr = "ip,jobnum" ipGroupStr = "ip,jobnum"
ipGroup = group_and_sum(data_ip, ipGroupStr) ipGroup = group_and_sum(data_ip, ipGroupStr)
@ -232,28 +291,27 @@ def group_and_write_to_file(data_ip, data_account, data_interface, data_menu, st
# current_dir = os.getcwd() # current_dir = os.getcwd()
base_path = get_clean_file_path() base_path = get_clean_file_path()
logger_cron.info("JOB: "+jobid+",写入文件base路径"+base_path) logger_cron.info("JOB: "+jobid+",写入文件base路径"+base_path)
time_struct = time.gmtime(long(start) / 1000.0) # UTC时间 date_time = convert_utc_to_local_time(start)
date_time = time.strftime('%Y-%m-%d', time_struct) date_str = time.strftime('%Y-%m-%d', date_time)
file_path = os.path.join(base_path,date_time + '.json') file_path = os.path.join(base_path,date_str + '.json')
logger_cron.info("JOB:"+jobid+", 写入文件路径"+file_path) logger_cron.info("JOB:"+jobid+", 写入文件路径"+file_path)
all_data = [data] all_data = [data]
logger_cron.info("JOB: "+jobid+",准备读取已有文件") logger_cron.info("JOB: "+jobid+",准备读取已有文件")
if os.path.exists(file_path): if os.path.exists(file_path):
# 打开文件并读取内容 # 打开文件并读取内容
with codecs.open(file_path, 'r', encoding='utf-8') as file: old_json_data =read_large_json_file(file_path)
content = file.read() all_data = [data, old_json_data]
old_json_data = json.loads(content)
all_data = [data, old_json_data]
logger_cron.info("JOB:"+jobid+", 读取已有文件完成") logger_cron.info("JOB:"+jobid+", 读取已有文件完成")
merged_data = merge_data(all_data)
# 使用codecs模块以UTF-8编码打开文件 merged_data = merge_data(all_data)
f = codecs.open(file_path, 'w', encoding='utf-8')
json_data = json.dumps(merged_data) json_data = json.dumps(merged_data)
f.write(json_data)
f.close() #写入文件
write_large_file(file_path,json_data)
logger_cron.info("JOB: "+jobid+",写入文件完成") logger_cron.info("JOB: "+jobid+",写入文件完成")
def group_and_sum(data, by_fields="ip,jobnum"): def group_and_sum(data, by_fields="ip,jobnum"):
# 将by_fields转换为列表 # 将by_fields转换为列表
@ -333,6 +391,20 @@ def merge_data(datasets):
return aggregated_data return aggregated_data
def convert_utc_to_local_time(timestamp):
# 将毫秒时间戳转换为秒
seconds_since_epoch = long(timestamp) / 1000.0
# 使用 gmtime() 得到 UTC 时间结构体
time_struct_utc = time.gmtime(seconds_since_epoch)
# 将 UTC 时间转换为北京时间（东八区），即加 8 小时
time_struct_beijing = time.mktime(time_struct_utc) + (8 * 60 * 60)
# 将时间戳转换回 struct_time
time_struct_beijing = time.localtime(time_struct_beijing)
return time_struct_beijing
#入口 #入口
def entry(start,end,jobid): def entry(start,end,jobid):
@ -340,18 +412,28 @@ def entry(start,end,jobid):
es_util_instance = EsUtil() es_util_instance = EsUtil()
start = datetime_to_timestamp(start) start = datetime_to_timestamp(start)
end = datetime_to_timestamp(end) end = datetime_to_timestamp(end)
logger_cron.info("JOB："+jobid+",start为"+str(start))
logger_cron.info("JOB："+jobid+",end为"+str(end))
res=es_util_instance.get_available_index_name(start,end,base_index) res=es_util_instance.get_available_index_name(start,end,base_index)
logger_cron.info("JOB："+jobid+",index为"+json.dumps(res)) logger_cron.info("JOB："+jobid+",index为"+json.dumps(res))
if len(res)==0: if len(res)==0:
return return
index =",".join(res) index =",".join(res)
clean_data(index,start,end,jobid) clean_data(index,start,end,jobid)
# start = 1720776186000
# end = 1720776486000
# start = '2024-07-18 15:20:31'
# end = '2024-07-18 15:25:31'
# date_format = "%Y-%m-%d %H:%M:%S"
# date_str = datetime.strptime(start, date_format)
# end_str = datetime.strptime(end, date_format)
# # # 将 datetime 对象转换为秒级时间戳 # # # 将 datetime 对象转换为秒级时间戳
# # timestamp_seconds = time.mktime(dt.timetuple()) # # timestamp_seconds = time.mktime(dt.timetuple())
# # # 获取微秒数 # # # 获取微秒数
# # microseconds = dt.microsecond # # microseconds = dt.microsecond
# # # 转换为毫秒级时间戳 # # # 转换为毫秒级时间戳
# # timestamp_milliseconds = int(timestamp_seconds * 1000 + microseconds / 1000.0) # # timestamp_milliseconds = int(timestamp_seconds * 1000 + microseconds / 1000.0)
# entry(start,end) # entry(date_str,end_str,"xxxxxxxxxxxxxxxxxxx")

281
utils/dashboard_data.py
Unescape View File

@ -1,281 +0,0 @@
#!/usr/bin/python
#encoding=utf-8
# author: tangwy
import json
import os,re
import codecs
import traceback
from isoc.utils.esUtil import EsUtil
from dashboard_data_conversion import ip_summary_data_format, account_summary_data_format, \
interface_summary_data_format, menu_summary_data_format
from ext_logging import logger
## IP维度
def es_get_ip_group_data(index,startTime,endTime):
page_size = 9000 #可以根据实际情况调整
query_body={
"query": {
"bool": {
"filter": [
{ "term": { "data_type": "ip" } },
{"range":{
"date_time": {
"gte": startTime,
"lte": endTime
}
}}
]
}
},
"aggs": {
"composite_buckets": {
"composite": {
"size" : page_size,
"sources": [
{ "req_ip": { "terms": { "field": "req_ip" } } },
{ "req_jobnum": { "terms": { "field": "req_jobnum" } } }
]
},
"aggregations": {
"total_count": {
"sum": {
"field": "req_frequency"
}
}
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas = []
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
buckets = response.get("aggregations", {}).get("composite_buckets", {}).get("buckets", [])
for bucket in buckets:
data= {
"ip":bucket['key']['req_ip'],
"jobnum":bucket['key']['req_jobnum'],
"count":bucket['total_count']['value']
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
## 账号维度
def es_get_account_group_data(index,startTime,endTime):
page_size = 9000 #可以根据实际情况调整
query_body={
"size": 0,
"query": {
"bool": {
"filter": [
{ "term": { "data_type": "account" } },
{"range":{
"date_time": {
"gte": startTime,
"lte": endTime
}
}}
]
}
},
"aggs": {
"composite_buckets": {
"composite": {
"size" : page_size,
"sources": [
{ "req_account": { "terms": { "field": "req_account" } } },
{ "req_jobnum": { "terms": { "field": "req_jobnum" } } }
]
},
"aggregations": {
"total_count": {
"sum": {
"field": "req_frequency"
}
}
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas = []
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
buckets = response.get("aggregations", {}).get("composite_buckets", {}).get("buckets", [])
for bucket in buckets:
data= {
"account":bucket['key']['req_account'],
"jobnum":bucket['key']['req_jobnum'],
"count":bucket['total_count']['value']
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
## 菜单维度
def es_get_menu_group_data(index,startTime,endTime):
page_size = 9000 #可以根据实际情况调整
query_body={
"size": 0,
"query": {
"bool": {
"filter": [
{ "term": { "data_type": "menu" } },
{"range":{
"date_time": {
"gte": startTime,
"lte": endTime
}
}}
]
}
},
"aggs": {
"composite_buckets": {
"composite": {
"size" : page_size,
"sources": [
{ "menu_name": { "terms": { "field": "menu_name" } } },
{ "req_account": { "terms": { "field": "req_account" } } },
{ "req_ip": { "terms": { "field": "req_ip" } } },
{ "req_jobnum": { "terms": { "field": "req_jobnum" } } }
]
},
"aggregations": {
"total_count": {
"sum": {
"field": "req_frequency"
}
}
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas = []
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
buckets = response.get("aggregations", {}).get("composite_buckets", {}).get("buckets", [])
for bucket in buckets:
data= {
"menu":bucket['key']['menu_name'],
"ip":bucket['key']['req_ip'],
"account":bucket['key']['req_account'],
"jobnum":bucket['key']['req_jobnum'],
"count":bucket['total_count']['value']
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
## 接口维度
def es_get_interface_group_data(index,startTime,endTime):
page_size = 9999 #可以根据实际情况调整
query_body={
"query": {
"bool": {
"filter": [
{ "term": { "data_type": "interface" } },
{"range":{
"date_time": {
"gte": startTime,
"lte": endTime
}
}}
]
}
},
"aggs": {
"group_by_menu": {
"composite": {
"size" : page_size,
"sources": [
{ "interface_addr": { "terms": { "field": "interface_addr" } } },
{ "req_account": { "terms": { "field": "req_account" } } },
{ "req_ip": { "terms": { "field": "req_ip" } } },
{ "req_jobnum": { "terms": { "field": "req_jobnum" } } }
]
},
"aggregations": {
"total_count": {
"sum": {
"field": "req_frequency"
}
}
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas = []
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
buckets = response.get("aggregations", {}).get("composite_buckets", {}).get("buckets", [])
for bucket in buckets:
data= {
"interface":bucket['key']['interface_addr'],
"ip":bucket['key']['req_ip'],
"account":bucket['key']['req_account'],
"jobnum":bucket['key']['req_jobnum'],
"count":bucket['total_count']['value']
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
def entry(data_type,start,end):
base_index = 'c_ueba_001'
# es_util_instance = EsUtil()
# res=es_util_instance.get_available_index_name(start,end,base_index)
# if len(res)==0:
# return
# index =",".join(res)
index=base_index
try:
data = {}
if data_type == "1":
ip_summary_data = es_get_ip_group_data(index, start, end)
data = ip_summary_data_format(ip_summary_data)
if data_type == "2":
account_summary_data = es_get_account_group_data(index, start, end)
data = account_summary_data_format(account_summary_data)
if data_type == "3":
interface_summary_data = es_get_interface_group_data(index, start, end)
data = interface_summary_data_format(interface_summary_data)
if data_type == "4":
menu_summary_data = es_get_menu_group_data(index, start, end)
data = menu_summary_data_format(menu_summary_data)
return data
except Exception, e:
logger.error(traceback.format_exc())
raise e

40
utils/dashboard_data_conversion.py
Unescape View File

@ -31,7 +31,12 @@ def keep_digits_filter(code):
""" """
return ''.join(filter(str.isdigit, str(code))) return ''.join(filter(str.isdigit, str(code)))
#安全除
def safe_divide(numerator, denominator):
if denominator == 0:
return
else:
return numerator / denominator
def find_region_by_code(code, region_dict): def find_region_by_code(code, region_dict):
""" """
查询工号对应公司 查询工号对应公司
@ -72,7 +77,6 @@ def ip_summary_data_format(ip_summary_data):
# 统计总请求次数和独立IP数 # 统计总请求次数和独立IP数
reqs_total = sum(data["reqs"] for data in grouped_data.values()) reqs_total = sum(data["reqs"] for data in grouped_data.values())
# 请求为0抛出 # 请求为0抛出
if reqs_total == 0: if reqs_total == 0:
return result return result
@ -88,7 +92,7 @@ def ip_summary_data_format(ip_summary_data):
# 本公司的 ip个数/所有公司 ip个数的合计 # 本公司的 ip个数/所有公司 ip个数的合计
"ip_rate": round(len(data["ips"]) / len(ips_total), 4), "ip_rate": round(len(data["ips"]) / len(ips_total), 4),
# 本公司的 请求次数/本公司 ip个数的合计 # 本公司的 请求次数/本公司 ip个数的合计
"ip_avg": data["reqs"] // len(data["ips"]), "ip_avg": safe_divide(data["reqs"],len(data["ips"])),
} }
for company, data in grouped_data.items() for company, data in grouped_data.items()
] ]
@ -146,7 +150,7 @@ def account_summary_data_format(account_summary_data):
# 本公司的 账号次数/所有公司 账号次数的合计 # 本公司的 账号次数/所有公司 账号次数的合计
"account_rate": round(len(data["accounts"]) / len(accounts_total), 4), "account_rate": round(len(data["accounts"]) / len(accounts_total), 4),
# 本公司的 请求次数/本公司 账号次数的合计 # 本公司的 请求次数/本公司 账号次数的合计
"account_avg": data["reqs"] // len(data["accounts"]), "account_avg": safe_divide(data["reqs"],len(data["accounts"])),
} }
for company, data in grouped_data.items() for company, data in grouped_data.items()
] ]
@ -199,9 +203,9 @@ def interface_summary_data_format(interface_summary_data):
# 本接口的 请求次数/所有接口 请求次数的合计 # 本接口的 请求次数/所有接口 请求次数的合计
"frequency_rate": round(data["reqs"] / reqs_total, 4), "frequency_rate": round(data["reqs"] / reqs_total, 4),
# 本接口的 请求次数/ 20 查询top20接口 # 本接口的 请求次数/ 20 查询top20接口
"frequency_avg": data["reqs"] // 20, "frequency_avg": safe_divide(data["reqs"],20),
} }
for company, data in grouped_data.items() for interface, data in grouped_data.items()
] ]
result["summary"]["interface"] = sorted(interface_data_list, key=lambda x: x["req_frequency"], reverse=True) result["summary"]["interface"] = sorted(interface_data_list, key=lambda x: x["req_frequency"], reverse=True)
@ -257,9 +261,9 @@ def menu_summary_data_format(menu_summary_data):
# 本菜单的 请求次数 /所有菜单 请求次数的合计 # 本菜单的 请求次数 /所有菜单 请求次数的合计
"frequency_rate": round(data["reqs"] / reqs_total, 4), "frequency_rate": round(data["reqs"] / reqs_total, 4),
# 本菜单的 请求次数 /所有菜单 个数的合计 # 本菜单的 请求次数 /所有菜单 个数的合计
"frequency_avg": data["reqs"] // len(menu_total), "frequency_avg": safe_divide(data["reqs"],len(menu_total)),
} }
for company, data in grouped_data.items() for menu, data in grouped_data.items()
] ]
result["summary"]["menu"] = sorted(menu_data_list, key=lambda x: x["req_frequency"], reverse=True) result["summary"]["menu"] = sorted(menu_data_list, key=lambda x: x["req_frequency"], reverse=True)
@ -269,13 +273,17 @@ def menu_summary_data_format(menu_summary_data):
return result return result
#调整时间
def adjust_times(start_time, end_time): def adjust_times(start_time, end_time):
# 计算开始时间和结束时间之间的天数差 start_time = datetime.strptime(start_time, "%Y-%m-%d")
delta_days = (end_time - start_time).days end_time = datetime.strptime(end_time, "%Y-%m-%d")
# 从开始和结束时间各自减去这个天数差
adjusted_start_time = start_time - timedelta(days=delta_days)
adjusted_end_time = end_time - timedelta(days=delta_days)
return adjusted_start_time, adjusted_end_time delta_days = (end_time - start_time).days
if delta_days == 0:
pre_date = start_time-timedelta(1)
pre_date = start_time-timedelta(1)
return pre_date.strftime("%Y-%m-%d"),pre_date.strftime("%Y-%m-%d")
if delta_days > 0:
pre_start_date = start_time-timedelta(delta_days+1)
pre_end_date = end_time-timedelta(delta_days+1)
return pre_start_date.strftime("%Y-%m-%d"),pre_end_date.strftime("%Y-%m-%d")
return start_time, end_time

59
utils/dashboard_data_pg.py
Unescape View File

@ -1,7 +1,7 @@
#!/usr/bin/python #!/usr/bin/python
# encoding=utf-8 # encoding=utf-8
# author: tangwy # author: tangwy
from __future__ import division
import json import json
import os, re import os, re
import codecs import codecs
@ -113,7 +113,27 @@ def pg_get_menu_group_data(startTime, endTime):
return result return result
def pg_get_previous_company_count(startTime, endTime, data_type): def pg_get_account_previous_company_count(startTime, endTime, data_type):
"""
账号维度查询菜请求次数
:param startTime: 开始时间,
:param endTime: 结束时间,
:param data_type: 公司聚合类型 ACCOUNT or IP ,
"""
result = defaultdict(int)
if data_type in DATA_TYPE:
data_type = DATA_TYPE[data_type]
sql = """ select jobnum, account,sum(count) from {TABLE_NAME}
where logdate >= %s and logdate <= %s and data_type = %s
group by jobnum,account""".format(TABLE_NAME=TABLE_NAME)
res = json.loads(CFunction.execute(CPgSqlParam(sql, params=(startTime, endTime, data_type))))
if res:
for item in res:
company = find_region_by_code(item[0], jobnum_region_dict)
result[company] += item[2]
return result
def pg_get_ip_previous_company_count(startTime, endTime, data_type):
""" """
账号维度查询菜请求次数 账号维度查询菜请求次数
:param startTime: 开始时间, :param startTime: 开始时间,
@ -123,14 +143,14 @@ def pg_get_previous_company_count(startTime, endTime, data_type):
result = defaultdict(int) result = defaultdict(int)
if data_type in DATA_TYPE: if data_type in DATA_TYPE:
data_type = DATA_TYPE[data_type] data_type = DATA_TYPE[data_type]
sql = """ select jobnum, sum(count) from {TABLE_NAME} sql = """ select jobnum,ip, sum(count) from {TABLE_NAME}
where logdate >= %s and logdate <= %s and data_type = %s where logdate >= %s and logdate <= %s and data_type = %s
group by jobnum""".format(TABLE_NAME=TABLE_NAME) group by jobnum,ip """.format(TABLE_NAME=TABLE_NAME)
res = json.loads(CFunction.execute(CPgSqlParam(sql, params=(startTime, endTime, data_type)))) res = json.loads(CFunction.execute(CPgSqlParam(sql, params=(startTime, endTime, data_type))))
if res: if res:
for item in res: for item in res:
company = find_region_by_code(item[0], jobnum_region_dict) company = find_region_by_code(item[0], jobnum_region_dict)
result[company] += item[1] result[company] += item[2]
return result return result
def pg_get_previous_interface_count(startTime, endTime): def pg_get_previous_interface_count(startTime, endTime):
@ -140,13 +160,13 @@ def pg_get_previous_interface_count(startTime, endTime):
:param endTime: 结束时间, :param endTime: 结束时间,
""" """
result = defaultdict(int) result = defaultdict(int)
sql = """ select interface, sum(count) from {TABLE_NAME} sql = """ select interface, ip, jobnum,account, sum(count) from {TABLE_NAME}
where logdate >= %s and logdate <= %s and data_type = %s where logdate >= %s and logdate <= %s and data_type = %s
group by interface""".format(TABLE_NAME=TABLE_NAME) group by interface, ip, jobnum,account""".format(TABLE_NAME=TABLE_NAME)
res = json.loads(CFunction.execute(CPgSqlParam(sql, params=(startTime, endTime, DATA_TYPE["INTERFACE"])))) res = json.loads(CFunction.execute(CPgSqlParam(sql, params=(startTime, endTime, DATA_TYPE["INTERFACE"]))))
if res: if res:
for item in res: for item in res:
result[item[0]] += item[1] result[item[0]] += item[4]
return result return result
@ -157,13 +177,13 @@ def pg_get_previous_menu_count(startTime, endTime):
:param endTime: 结束时间, :param endTime: 结束时间,
""" """
result = defaultdict(int) result = defaultdict(int)
sql = """ select menu, sum(count) from {TABLE_NAME} sql = """ select menu, ip,jobnum,account, sum(count) from {TABLE_NAME}
where logdate >= %s and logdate <= %s and data_type = %s where logdate >= %s and logdate <= %s and data_type = %s
group by menu""".format(TABLE_NAME=TABLE_NAME) group by menu, ip,jobnum,account""".format(TABLE_NAME=TABLE_NAME)
res = json.loads(CFunction.execute(CPgSqlParam(sql, params=(startTime, endTime, DATA_TYPE["MENU"])))) res = json.loads(CFunction.execute(CPgSqlParam(sql, params=(startTime, endTime, DATA_TYPE["MENU"]))))
if res: if res:
for item in res: for item in res:
result[item[0]] += item[1] result[item[0]] += item[4]
return result return result
def entry(data_type, start, end): def entry(data_type, start, end):
@ -172,17 +192,25 @@ def entry(data_type, start, end):
start = datetime.strptime(start, date_format) start = datetime.strptime(start, date_format)
end = datetime.strptime(end, date_format) end = datetime.strptime(end, date_format)
old_start,old_end = adjust_times(start, end)
start = start.strftime('%Y-%m-%d')
end = end.strftime('%Y-%m-%d')
old_start,old_end = adjust_times(start, end)
print (old_start)
print (old_end)
data = {} data = {}
if data_type == "1": if data_type == "1":
ip_summary_data = pg_get_ip_group_data(start, end) ip_summary_data = pg_get_ip_group_data(start, end)
data = ip_summary_data_format(ip_summary_data) data = ip_summary_data_format(ip_summary_data)
previous_company_dict = pg_get_previous_company_count(old_start, start, "IP") previous_company_dict = pg_get_ip_previous_company_count(old_start, old_end, "IP")
for d in data["summary"]["ip"]: for d in data["summary"]["ip"]:
if previous_company_dict.get(d["company"], 0) == 0: if previous_company_dict.get(d["company"], 0) == 0:
d["trend"] = 0 d["trend"] = 0
print("xxx")
else: else:
print("dddd:"+str(d["req_frequency"]))
print(previous_company_dict.get(d["company"], 0))
d["trend"] = round( d["trend"] = round(
(d["req_frequency"] - previous_company_dict.get(d["company"], 0)) / previous_company_dict.get( (d["req_frequency"] - previous_company_dict.get(d["company"], 0)) / previous_company_dict.get(
d["company"], 0), 4) d["company"], 0), 4)
@ -191,7 +219,7 @@ def entry(data_type, start, end):
account_summary_data = pg_get_account_group_data(start, end) account_summary_data = pg_get_account_group_data(start, end)
data = account_summary_data_format(account_summary_data) data = account_summary_data_format(account_summary_data)
previous_company_dict = pg_get_previous_company_count(old_start, start, "ACCOUNT") previous_company_dict = pg_get_account_previous_company_count(old_start, start, "ACCOUNT")
for d in data["summary"]["account"]: for d in data["summary"]["account"]:
if previous_company_dict.get(d["company"], 0) == 0: if previous_company_dict.get(d["company"], 0) == 0:
d["trend"] = 0 d["trend"] = 0
@ -227,3 +255,6 @@ def entry(data_type, start, end):
d["menu_name"], 0), 4) d["menu_name"], 0), 4)
return data return data
# res = entry("1","2024-07-17 00:00:00","2024-07-17 23:59:59")
# # print res
# logger.info(json.dumps(res))

38
utils/db2json.py
Unescape View File

@ -101,7 +101,7 @@ class DBUtils(object):
return camel_list return camel_list
@classmethod @classmethod
def write_job_status(self,job_id,status,err): def write_job_status(self,job_id,status,err,run_count):
#success #success
if status == 2: if status == 2:
sql = """update {JOB_TABLE_NAME} set status=%s ,complate_time = %s sql = """update {JOB_TABLE_NAME} set status=%s ,complate_time = %s
@ -109,31 +109,43 @@ class DBUtils(object):
CFunction.execute(CPgSqlParam(sql, params=(status,datetime.now(), job_id))) CFunction.execute(CPgSqlParam(sql, params=(status,datetime.now(), job_id)))
#failed #failed
if status == 3: if status == 3:
sql = """update {JOB_TABLE_NAME} set status=%s, err=%s sql = """update {JOB_TABLE_NAME} set status=%s, err=%s ,run_count = %s
where job_id=%s """.format(JOB_TABLE_NAME=JOB_TABLE_NAME) where job_id=%s """.format(JOB_TABLE_NAME=JOB_TABLE_NAME)
CFunction.execute(CPgSqlParam(sql, params=(status, err, job_id))) CFunction.execute(CPgSqlParam(sql, params=(status, err, job_id,run_count)))
@classmethod @classmethod
def insert_job_record(self,job_id,start_time,end_time,status): def insert_job_record(self,job_id,start_time,end_time,status):
sql = """insert into {JOB_TABLE_NAME}(job_id,start_time,end_time,status) values(%s,%s,%s,%s)""".format(JOB_TABLE_NAME=JOB_TABLE_NAME) sql = """insert into {JOB_TABLE_NAME}(job_id,start_time,end_time,status,run_count) values(%s,%s,%s,%s,%s)""".format(JOB_TABLE_NAME=JOB_TABLE_NAME)
CFunction.execute(CPgSqlParam(sql, params=(job_id,start_time, end_time,status))) CFunction.execute(CPgSqlParam(sql, params=(job_id,start_time, end_time,status,1)))
#获取 job的执行时间 开始时间-结束时间 #获取 job的执行时间 开始时间-结束时间
@classmethod @classmethod
def get_job_period(self): def get_job_period(self):
sql = """select job_id, to_char(end_time,'YYYY-MM-DD HH24:MI:SS') as end_time from {JOB_TABLE_NAME} order by end_time desc limit 1""".format(JOB_TABLE_NAME=JOB_TABLE_NAME) sql = """select job_id, to_char(end_time,'YYYY-MM-DD HH24:MI:SS') as end_time,status,run_count,to_char(start_time,'YYYY-MM-DD HH24:MI:SS') as start_time from {JOB_TABLE_NAME} order by end_time desc limit 1""".format(JOB_TABLE_NAME=JOB_TABLE_NAME)
res = json.loads(CFunction.execute(CPgSqlParam(sql, params=()))) res = json.loads(CFunction.execute(CPgSqlParam(sql, params=())))
print json.dumps(res) print json.dumps(res)
data = {} data = {}
if res: if res:
data["job_id"]=res[0][0] data["job_id"]=res[0][0]
data["end_time"]=res[0][1] data["end_time"]=res[0][1]
data["status"]=res[0][2]
data["run_count"]=res[0][3]
data["start_time"]=res[0][4]
if len(data)==0: if len(data)==0:
start_time = datetime.now() - timedelta(minutes=5) start_time = datetime.now() - timedelta(minutes=20)
end_time = datetime.now() end_time = datetime.now()- timedelta(minutes=15)
return start_time,end_time,2,0,""
if len(data)>0: if len(data)>0:
start_time = data["end_time"] #运行中
if data["status"] ==1:
return None,None, 1,data["run_count"],data["job_id"]
#运行失败 重试不超过3次
if data["status"] ==3 and data["run_count"]<=3:
start_time = data["start_time"]
end_time = data["end_time"]
return start_time,end_time,3,data["run_count"],data["job_id"]
start_time = data["end_time"]
start_time = datetime.strptime(start_time, '%Y-%m-%d %H:%M:%S') start_time = datetime.strptime(start_time, '%Y-%m-%d %H:%M:%S')
# 检查时间是否为23:59:59 # 检查时间是否为23:59:59
if start_time.hour == 23 and start_time.minute == 59 and start_time.second == 59: if start_time.hour == 23 and start_time.minute == 59 and start_time.second == 59:
@ -142,11 +154,13 @@ class DBUtils(object):
start_time = start_time.replace(hour=0, minute=0, second=0) start_time = start_time.replace(hour=0, minute=0, second=0)
end_time = start_time + timedelta(minutes=5) end_time = start_time + timedelta(minutes=5)
if end_time > datetime.now(): #kafka数据到es会存在5分钟左右的数据延迟这里设置15分钟
if end_time > (datetime.now()-timedelta(minutes=15)):
logger_cron.info("end_time:"+end_time.strftime("%Y-%m-%d %H:%M:%S")+",datetime.now:"+datetime.now().strftime("%Y-%m-%d %H:%M:%S")) logger_cron.info("end_time:"+end_time.strftime("%Y-%m-%d %H:%M:%S")+",datetime.now:"+datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
return None,None return None,None,2,999,""
start_time ,end_time =self.adjust_end_time_if_cross_day(start_time,end_time) start_time ,end_time =self.adjust_end_time_if_cross_day(start_time,end_time)
return start_time,end_time #需要在入口生成jobid 所以给空
return start_time,end_time,data["status"],data["run_count"],""
@classmethod @classmethod
#处理跨天的场景 #处理跨天的场景

90
utils/es_operation.py
Unescape View File

@ -1,90 +0,0 @@
#!/usr/bin/python
#encoding=utf-8
# author: tangwy
import json
import os,re
import codecs
import csv
import ConfigParser
from isoc.utils.esUtil import EsUtil
print json.dumps(es_host_list)
# conf_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'conf')
# ini_path = os.path.join(conf_path, 'conf.ini')
# config = ConfigParser.ConfigParser()
# config.read(ini_path)
# ES_HOST = config.get('COMMON', 'es_host')
# ES_PER_COUNT = config.get('COMMON', 'es_per_count')
# ES_INDEX_NAME = config.get('COMMON', 'es_index_name')
# CSV_FILE_PATH = config.get('COMMON', 'csv_file_path')
def createIndex():
es = Elasticsearch(es_host_list)
es.create(index="urba_analyse_2024_06", ignore=400)
map={
"ip1": "text",
"ip2": "text",
"ip3": "text",
"ip4": "text",
}
es_instance = EsUtil()
res = es_instance.create_index_simple("urba_analyse_2024_06")
return res
# def generate_ip_range(start_ip, end_ip):
# start_parts = list(map(int, start_ip.split('.')))
# end_parts = list(map(int, end_ip.split('.')))
# ip_range = []
# while start_parts < end_parts:
# ip_range.append('.'.join(map(str, start_parts)))
# start_parts[3] += 1
# for i in range(3, 0, -1):
# if start_parts[i] == 256:
# start_parts[i] = 0
# start_parts[i-1] += 1
# ip_range.append('.'.join(map(str, start_parts))) # 添加结束IP地址
# return ip_range
# # scroll查询数据
# def get_ip_summary_data(start_time,end_time,query_body):
# es = Elasticsearch(ES_HOST)
# msg = es.search(index=ES_INDEX_NAME,scroll="3m",size=ES_PER_COUNT,_source_includes= ["cookies","url","sip","dip"], query=query_body)
# result = msg['hits']['hits']
# total = msg['hits']['total']
# scroll_id = msg['_scroll_id']
# for i in range(0,int(total["value"]/ES_PER_COUNT)+1):
# query_scroll = es.scroll(scroll_id=scroll_id, scroll='3m')["hits"]["hits"]
# result += query_scroll
# return result
# # 读取csv文件 获取ip归属地
# def get_ip_area_relation(csv_file_path):
# iprange_map = {}
# with codecs.open(csv_file_path, mode='r',encoding='utf-8') as file:
# csv_reader = csv.reader(file)
# for row in csv_reader:
# headers = next(csv_reader)
# ip_start = headers[0]
# ip_end = headers[1]
# ip_range = generate_ip_range(ip_start, ip_end)
# ip_area = headers[5]
# print (ip_area)
# for ip in ip_range:
# iprange_map[ip] = ip_area
# return iprange_map
# get_ip_area_relation("/tmp/data/ip_area_relation.csv")

124
utils/file_to_pg.py
Unescape View File

@ -2,10 +2,16 @@
#encoding=utf-8 #encoding=utf-8
# author: tangwy # author: tangwy
import re,os,json import re,os,json
import codecs
from db2json import DBUtils from db2json import DBUtils
from datetime import datetime, timedelta from datetime import datetime, timedelta
from ext_logging import logger_cron,get_clean_file_path from ext_logging import logger_cron,get_clean_file_path
date_pattern = re.compile(r'\d{4}-\d{2}-\d{2}') from dataInterface.functions import CFunction
from dataInterface.db.params import CPgSqlParam
date_pattern = re.compile(r'^\d{4}-\d{2}-\d{2}.json$')
LOG_TABLE_NAME = "ueba_analysis_schema.logs"
DATA_TYPE = { DATA_TYPE = {
"IP": 1, "IP": 1,
@ -14,20 +20,75 @@ DATA_TYPE = {
"MENU": 4, "MENU": 4,
} }
# 获取当前日期并格式化为"年-月"
def get_current_year_month():
now = datetime.now()
return now.strftime("%Y_%m")
# 获取当前月份的第一天并格式化为"年-月-日"
def get_first_day_of_current_month():
now = datetime.now()
first_day = now.replace(day=1)
return first_day.strftime("%Y-%m-%d")
# 获取当前日期，然后计算下个月的第一天
def get_first_day_of_next_month():
now = datetime.now()
if now.month == 12:
next_month = now.replace(year=now.year+1, month=1, day=1)
else:
next_month = now.replace(month=now.month+1, day=1)
return next_month.strftime("%Y-%m-%d")
#获取表名
def get_table_name():
year_month = get_current_year_month()
return LOG_TABLE_NAME+'_'+ year_month
#获取表区间
def get_table_data_range():
start= get_first_day_of_current_month()
end = get_first_day_of_next_month()
return start,end
#创建分区表
def create_fq_table():
table_name = get_table_name()
start,end = get_table_data_range()
logger_cron.info("INSERT：准备创建分区表{},{},{}".format(table_name,start,end))
sql = """CREATE TABLE if not EXISTS {TABLE_NAME} PARTITION OF ueba_analysis_schema.logs
FOR VALUES FROM ('{START}') TO ('{END}');""".format(TABLE_NAME=table_name,START = start,END=end)
CFunction.execute(CPgSqlParam(sql))
logger_cron.info("INSERT：创建分区表完成")
#读取大文件
def read_large_json_file(filename, chunk_size=1024*1024*5): # 每次读取5MB的数据
json_object = ''
with codecs.open(filename, 'r', encoding='utf-8') as f:
while True:
chunk = f.read(chunk_size)
if not chunk:
break
json_object += chunk
data = json.loads(json_object)
return data
def get_all_files(path): def get_all_files(path):
# 列出所有包含匹配模式的文件名 # 列出所有包含匹配模式的文件名
files = [] files = []
for filename in os.listdir(path): for filename in os.listdir(path):
if date_pattern.search(filename): if date_pattern.search(filename):
files.append({"filename": filename, "path": os.path.join(path,filename)}) if datetime.now().strftime("%Y-%m-%d")+".json" != filename:
files.append({"filename": filename, "path": os.path.join(path,filename)})
return files return files
def insert_data(files): def insert_data(files):
for item in files: for itemFile in files:
if os.path.exists(item.get("path",'')): if os.path.exists(itemFile.get("path",'')):
with open(os.path.join(item.get('path','')), 'r') as file: data =read_large_json_file(itemFile.get("path",''))
data = json.load(file) logger_cron.info("INSERT: 准备读取聚合文件:"+itemFile.get('path',''))
logger_cron.info("INSERT: 读取聚合文件完成")
ip_list = data.get('ip', []) ip_list = data.get('ip', [])
account_list = data.get('account', []) account_list = data.get('account', [])
interface_list = data.get('interface', []) interface_list = data.get('interface', [])
@ -38,7 +99,7 @@ def insert_data(files):
logger_cron.info("INSERT: INTERFACE维度 " +str(len(interface_list))) logger_cron.info("INSERT: INTERFACE维度 " +str(len(interface_list)))
logger_cron.info("INSERT: MENU维度 " +str(len(menu_list))) logger_cron.info("INSERT: MENU维度 " +str(len(menu_list)))
basename, extension = os.path.splitext(item.get('filename', '')) basename, extension = os.path.splitext(itemFile.get('filename', ''))
log_date = basename log_date = basename
print ("filename:"+log_date) print ("filename:"+log_date)
records = [] records = []
@ -51,7 +112,7 @@ def insert_data(files):
logdate = log_date logdate = log_date
datatype = DATA_TYPE.get("IP",1) datatype = DATA_TYPE.get("IP",1)
interface = item.get('interface', '') interface = item.get('interface', '')
records.append((menu, ip, account, jobnum, count, logdate,datatype,interface)) records.append({"menu":menu, "ip":ip, "account":account, "jobnum":jobnum, "count":count, "logdate":logdate,"datatype":datatype,"interface":interface})
for item in account_list: for item in account_list:
menu = item.get('menu', '') menu = item.get('menu', '')
ip = item.get('ip', '0.0.0.0') ip = item.get('ip', '0.0.0.0')
@ -61,7 +122,7 @@ def insert_data(files):
logdate = log_date logdate = log_date
datatype = DATA_TYPE.get("ACCOUNT",2) datatype = DATA_TYPE.get("ACCOUNT",2)
interface = item.get('interface', '') interface = item.get('interface', '')
records.append((menu, ip, account, jobnum, count, logdate,datatype,interface)) records.append({"menu":menu, "ip":ip, "account":account, "jobnum":jobnum, "count":count, "logdate":logdate,"datatype":datatype,"interface":interface})
for item in interface_list: for item in interface_list:
menu = item.get('menu', '') menu = item.get('menu', '')
ip = item.get('ip', '0.0.0.0') ip = item.get('ip', '0.0.0.0')
@ -71,7 +132,7 @@ def insert_data(files):
logdate = log_date logdate = log_date
datatype = DATA_TYPE.get("INTERFACE",3) datatype = DATA_TYPE.get("INTERFACE",3)
interface = item.get('interface', '') interface = item.get('interface', '')
records.append((menu, ip, account, jobnum, count, logdate,datatype,interface)) records.append({"menu":menu, "ip":ip, "account":account, "jobnum":jobnum, "count":count, "logdate":logdate,"datatype":datatype,"interface":interface})
for item in menu_list: for item in menu_list:
menu = item.get('menu', '') menu = item.get('menu', '')
ip = item.get('ip', '0.0.0.0') ip = item.get('ip', '0.0.0.0')
@ -81,20 +142,29 @@ def insert_data(files):
logdate = log_date logdate = log_date
datatype = DATA_TYPE.get("MENU",4) datatype = DATA_TYPE.get("MENU",4)
interface = item.get('interface', '') interface = item.get('interface', '')
records.append((menu, ip, account, jobnum, count, logdate,datatype,interface)) records.append({"menu":menu, "ip":ip, "account":account, "jobnum":jobnum, "count":count, "logdate":logdate,"datatype":datatype,"interface":interface})
# 构建SQL插入语句
sql = "INSERT INTO ueba_analysis_schema.logs (menu, ip, account, jobnum, count, logdate,data_type,interface) VALUES " data_list=[]
values = ["('%s', '%s', '%s', '%s', %d, '%s','%s','%s')" % (menu, ip, account, jobnum, count, logdate,datatype,interface) for item in records:
for menu, ip, account, jobnum, count, logdate,datatype,interface in records] data_list.append(item.get('menu', ''))
sql += ",".join(values) data_list.append(item.get('ip', ''))
data_list.append(item.get('account', ''))
logger_cron.info("INSERT: 准备数据插入") data_list.append(item.get('jobnum', ''))
DBUtils.execute(sql) data_list.append(item.get('count', ''))
data_list.append(item.get('logdate', ''))
data_list.append(item.get('datatype', ''))
data_list.append(item.get('interface', ''))
sql = """INSERT INTO ueba_analysis_schema.logs(menu,ip,account,jobnum,count,logdate,data_type,interface)
VALUES {}""".format(",".join(['(%s,%s,%s,%s,%s,%s,%s,%s)' for x in records]))
CFunction.execute(CPgSqlParam(sql, params=data_list))
logger_cron.info("INSERT: 数据插入完成") logger_cron.info("INSERT: 数据插入完成")
#重命名文件 #重命名文件
os.rename(item.get('path',''),"done_"+item.get('path','')) logger_cron.info(itemFile.get('path',''))
logger_cron.info("INSERT: 重命名文件完成，"+item.get('path','')) logger_cron.info("done_"+itemFile.get('filename', ''))
os.rename(itemFile.get('path',''),get_clean_file_path()+"/done_"+itemFile.get('filename', ''))
logger_cron.info("INSERT: 重命名文件完成，"+itemFile.get('filename', ''))
def delete_files(directory_path): def delete_files(directory_path):
""" """
@ -124,6 +194,12 @@ def delete_files(directory_path):
logger_cron.info("INSERT: 删除文件"+file_path) logger_cron.info("INSERT: 删除文件"+file_path)
def entry(): def entry():
files = get_all_files(get_clean_file_path()) base_path = get_clean_file_path()
files = get_all_files(base_path)
logger_cron.info("INSERT：获取文件数量"+str(len(files)))
#创建分区表
create_fq_table()
#数据入库
insert_data(files) insert_data(files)
delete_files() #删除文件
delete_files(base_path)

4
views/dashboard_views.py
Unescape View File

@ -20,8 +20,8 @@ class DashboardViewSets(viewsets.GenericViewSet):
def get_summary_data_list(self,request): def get_summary_data_list(self,request):
try: try:
data_type = request.GET.get('type') data_type = request.GET.get('type')
startTime ="2024-06-13 00:00:00"# request.GET.get('startDate') startTime =request.GET.get('startDate')
endTime = "2024-08-13 00:00:00"#request.GET.get('endDate') endTime = request.GET.get('endDate')
#1:ip,2:账号,3:接口,4:菜单 #1:ip,2:账号,3:接口,4:菜单
logger.info("获取分析结构数据:"+data_type+";" + startTime +";"+ endTime) logger.info("获取分析结构数据:"+data_type+";" + startTime +";"+ endTime)
return Result.ok(entry(data_type,startTime,endTime)) return Result.ok(entry(data_type,startTime,endTime))

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