student.sql

/*
 Navicat Premium Data Transfer

 Source Server         : .
 Source Server Type    : MySQL
 Source Server Version : 50738
 Source Host           : localhost:3306
 Source Schema         : student

 Target Server Type    : MySQL
 Target Server Version : 50738
 File Encoding         : 65001

 Date: 28/07/2022 09:02:45
*/

SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for admininfo
-- ----------------------------
DROP TABLE IF EXISTS `admininfo`;
CREATE TABLE `admininfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键、自增',
  `powerid` int(11) NOT NULL COMMENT '管理员权限',
  `status` int(255) NOT NULL COMMENT '1：已启用  2：已关闭',
  `username` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '账号',
  `password` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '密码',
  `create_time` datetime(0) NOT NULL COMMENT '创建时间',
  `update_time` datetime(0) NOT NULL COMMENT '修改时间',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 12 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of admininfo
-- ----------------------------
INSERT INTO `admininfo` VALUES (1, 1, 1, 'superadmin', '$2y$10$CbS7fZoHDMOD8fx2iFQHk.EgbSrxbHNN4ZuXM5IZwSCzRSQAkklGG', '2022-07-11 14:21:29', '2022-07-21 14:22:33');
INSERT INTO `admininfo` VALUES (2, 2, 1, 'admin', '$2y$10$Iw6ye0IES//bHWtONhIZeOgMIhAMKL3uyJFLahPiV/9kt2x4my9x6', '2022-07-11 14:21:29', '2022-07-11 14:21:29');
INSERT INTO `admininfo` VALUES (3, 3, 1, 'tchadmin', '$2y$10$k9iI3MvfDPtsY0FRm1VOXO/5eOWtJVcG9VNWi/YykfpV0DKDCNADe', '2022-07-11 14:21:29', '2022-07-11 14:21:29');
INSERT INTO `admininfo` VALUES (4, 4, 1, 'admin', '$2y$10$lot9ZuYpw.QLAl6ssxnEFeVbNTplSezGbEl1UwfbJ/c8FDUc1BJMG', '2022-07-11 14:21:29', '2022-07-11 14:21:29');
INSERT INTO `admininfo` VALUES (6, 1, 1, 'zhangsan', '$2y$10$nMDlOcG8uQaTHV1iWj.mseVoMtQ0JLlOry1wYAnlq9esL8VNv8gwq', '2022-07-21 11:06:59', '2022-07-21 11:06:59');
INSERT INTO `admininfo` VALUES (9, 1, 0, 'zhangsan11', '$2y$10$9VKRUFFVCG5UNKWnH9TrCepzl2ROSsMc6ocS7Tbsg8ztqlqBSf1pS', '2022-07-21 11:11:24', '2022-07-21 14:30:03');
INSERT INTO `admininfo` VALUES (11, 2, 1, 'lisi', '$2y$10$00dWM0d2qwiv4ybBrB6aqOTUSDEKD.pKuSkJvzFdYEfnKSJJ3T7ZW', '2022-07-21 14:20:33', '2022-07-21 14:30:17');

-- ----------------------------
-- Table structure for epknowledgeinfo
-- ----------------------------
DROP TABLE IF EXISTS `epknowledgeinfo`;
CREATE TABLE `epknowledgeinfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键、自增',
  `title` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '文章标题',
  `content` longtext CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '文章内容',
  `source` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '文章来源',
  `create_time` datetime(0) NOT NULL COMMENT '文章创建时间',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 11 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of epknowledgeinfo
-- ----------------------------
INSERT INTO `epknowledgeinfo` VALUES (1, '日本樱岛火山喷发', '新华社东京7月24日电（记者郭丹）据日本气象厅消息，日本九州地区鹿儿岛县的樱岛火山24日晚发生大规模喷发。日本气象厅已发布最高级别警报，并要求周边民众紧急避险。\r\n\r\n日本气象厅说，当地时间24日20时05分许，樱岛南岳山顶火山口发生喷发，受风力影响，烟尘朝东吹去。火山喷发带来的火山碎屑流出2.5公里远。\r\n\r\n气象厅说，从18日起，樱岛观测到细微的地壳变动，显示山体正在膨胀。23日到24日下午3时，南岳山顶火山口共发生4次喷发，喷发的烟尘最高达1200米。\r\n\r\n据鹿儿岛市消防局消息，目前尚未收到人员伤亡消息。\r\n\r\n樱岛是位于日本九州南部鹿儿岛湾内的一座活火山岛，面积77平方公里，由北岳、中岳、南岳3座火山体组成。', '新华社', '2022-07-24 22:56:00');
INSERT INTO `epknowledgeinfo` VALUES (2, '九寨沟游客因拍照站位发生肢体冲突', '7月23日，有网友称，近日，在四川阿坝州九寨沟景区内，有游客发生了肢体冲突。景区表示，经工作人员劝导，双方自行离开。\r\n\r\n7月23日，封面新闻记者从九寨沟景区管理局获悉，事发于7月21日下午，在五花海游览区域，有游客因为拍照站位问题发生肢体冲突。在景区工作人员及时劝导下，双方各自离开了，未向景区投诉，也未报警。\r\n\r\n九寨沟景区管理局提醒，请游客遵守法规，恪守公德，讲究礼仪，爱护环境，文明游览。', '封面新闻', '2022-07-24 19:00:00');
INSERT INTO `epknowledgeinfo` VALUES (3, '男子多次带女友吃海鲜只付塑料袋钱', '近日，江苏一男子多次带女友到盒马吃饭，之后利用自助结账钻空子逃单。据了解，该男子用餐后，自称去结账，让女友去边上等待，每次都会消费三文鱼、车厘子等贵价商品，支付时仅付款垃圾袋或塑料袋的费用，1个多月共逃单4次，总计2100多元。目前，该男子已因涉嫌盗窃罪被法院判处拘役3个月，并处罚金3000元。', '荔枝新闻', '2022-07-24 17:04:00');
INSERT INTO `epknowledgeinfo` VALUES (4, '青岛李沧区一酒店疑发生闪爆', '7月24日下午，李沧区湘潭路街道雨湖路上一酒店疑发生闪爆事故。当天下午6时许，半岛全媒体记者在现场看到，事发酒店已盖上了一层篷布，酒店工作人员正在清理现场。记者注意到，闪爆产生的冲击波威力巨大，酒店玻璃等设施受损严重，数十米远外的马路上散落着破碎的玻璃碴子。附近一家商店员工回忆，事发时发生一声巨响，感觉商店都“晃了一下”。记者从湘潭路街道办事处获悉，事故发生后工作人员第一时间赶到现场，初步调查事故可能与燃气罐软管有关。据相关负责人介绍，此次事故未造成人员伤亡，目前事故确切原因正在调查中。', '环球网', '2022-07-24 19:53:34');
INSERT INTO `epknowledgeinfo` VALUES (5, '核酸点检测人员罢工 疑因被拖欠工资', '近日，有辽宁沈阳网友爆料称，当地部分核酸点贴出了“停止检测”的通知，而检测人员罢工原因疑为被拖欠工资。\r\n\r\n7月23日，天目新闻记者联系上了同样被拖欠工资的核酸采样员张涵（化名），张涵告诉记者，她此前是在今年沈阳疫情较为严峻的时候，上岗成为一名核酸检测“大白”，“当时沈阳市沈河区卫生健康局委托沈阳盛京服务外包有限公司（以下简称‘沈阳盛京’）在智联招聘、BOSS直聘等招聘平台发布了招聘核酸采样员的岗位，我们是和沈阳盛京签署的临时用工协议。”\r\n\r\n张涵提供的临时用工协议中显示，乙方同意由甲方派遣至沈阳市沈河区卫生健康局工作，乙方的工作岗位、地点由用工单位确定并由用工单位负责日常管理。同时，该份临时用工协议中也明确规定岗位工资标准为4000元一月，甲方每月的15日，以转账形式支付乙方工资。张涵向记者透露，从5月份至今自己只收到了一笔工资，还是因为采样员去投诉，才由沈阳盛京垫付的，“收到的是5月份的工资，6月和7月的工资一直没收到，问了沈阳盛京方，他们工作人员回应称是局里钱没发下来。”\r\n\r\n针对部分核酸点贴出了“停止检测”的通知，张涵也表示，核酸检测点出现人员罢工现象实属无奈，“现在我所了解到仅沈河区被拖欠工资的核酸采样员就有数十人，大家都可以等，但需要沈阳盛京或者区卫生健康局给出明确时间。”\r\n\r\n23日下午，天目新闻记者拨打了临时用工协议中沈阳盛京所填写的电话，接听电话的工作人员则表示该电话号码属于辽宁中企人力资源服务有限公司，对沈阳盛京服务外包有限公司不了解，旗下没有招聘过核酸采样员的岗位。根据爱企查显示，沈阳盛京服务外包有限公司地址为沈阳市沈河区悦宾街1号方圆大厦，但临时用工协议中却是沈阳市大东区小河沿路3号，且沈阳盛京的法定代表人与辽宁中企人力资源服务有限公司法定代表人同名，辽宁中企人力资源服务有限公司是沈阳盛京的股东之一。\r\n\r\n随后，记者又拨打了沈阳市沈河区卫生健康局局长办公室电话，工作人员回应：“此前应该是政府财政部门晚转了几天，22日已经由财政部门拨了这笔款项，且款项是直接汇给沈阳盛京服务外包有限公司，不经过局里。”', '天目新闻', '2022-07-24 10:08:45');
INSERT INTO `epknowledgeinfo` VALUES (6, '宝宝银镯变色被送医意外发现汞中毒', '7月22日，西安市中心医院官方号分享了一个病例：一位母亲发现1岁宝宝手腕的银镯子变色了，回想起最近孩子在晚上经常莫名其妙哭闹，睡眠差，联想到影视作品中“银针测毒”的片段，担心孩子“中毒”，于是焦急地带孩子前往西安市中心医院儿科门诊就医。经过医生的仔细询问，这位母亲回想起之前曾经打碎过水银温度计。医生建议给孩子做尿汞的检测，经检查，孩子尿汞超标数倍，需要立即住院进行驱汞治疗。西安市中心医院提醒，水银可挥发到空气中，经过呼吸道、误食或接触破损皮肤均可引起中毒，严重甚至可能导致死亡。一旦出现长时间的接触汞或者疑似汞中毒，建议来查尿汞，必要时在医院进行正规的驱汞治疗。', '潇湘晨报', '2022-07-24 18:44:58');
INSERT INTO `epknowledgeinfo` VALUES (7, '神十四航天员在太空等待“问天”', '问天实验舱的发射，是中国空间站首次在有人的状态下迎接航天器的来访。在这样一个重要的历史时刻，三名航天员也满怀期待迎接自己的新家。7月24日中午，问天实验舱发射前，空间站组合体过境祖国海南岛上空，神舟十四号航天员乘组从太空中拍下了海南岛。三名航天员在轨收看了问天实验舱发射的全过程。神舟十四号航天员 陈冬：热烈欢迎问天舱从我们日思夜想的祖国向我们奔赴而来。这是有史以来第一次，中国航天员在太空观看发射任务，在浩瀚宇宙迎接空间站另一个舱段的到来。我们亲眼见证空间站的逐渐壮大，亲身参与空间站的建设工作，我们深感荣幸和自豪。家与家联通，太空家园展新颜；天与地齐心，航天任务谱新篇。我们会继续努力！神舟十四号航天员 刘洋：非常感谢地面科研人员给我们送来问天舱，让我们的太空家园变得更加宽敞。我们深感使命光荣，也将不负重托，继续完成对太空家园的建造工作，完成中国空间站的搭建任务。今天，我要将这一历史时刻叠成一颗幸运星，把对中国太空家园的美好祝福写进星辰大海。神舟十四号航天员 蔡旭哲：后续我们还将陆续迎来梦天舱、天舟五号和神舟十五号乘组的到来。让我们共同期待这美好的时刻，共同见证璀璨星空诞生越来越多的中国奇迹、越来越快的中国速度。', '潇湘晨报', '2022-07-25 00:12:14');
INSERT INTO `epknowledgeinfo` VALUES (8, '3人嘴馋上树偷摘84斤水蜜桃被拘', '产自嘉兴凤桥的水蜜桃，是远近闻名的消暑佳品。近日，浙江嘉兴南湖区公安分局凤桥派出所接到报警，辖区永红村的陈阿姨家辛苦种植一年的水蜜桃被偷了。接警后，民警很快锁定了嫌疑车辆和三名嫌疑人，民警找到他们时，三人正在一边清洗水蜜桃，一边商讨水蜜桃的吃法。经查，三名嫌疑人是同事关系，目前三人因盗窃被公安机关依法处以行政拘留5天的处罚，同时，三人向陈阿姨赔偿了经济损失4000元。\r\n\r\n据嘉兴公安，近日一大早，陈阿姨来到自家桃园正要摘取水蜜桃去贩卖，却发现前一天还硕果累累的十几棵桃树“秃”了。只见现场一片狼藉，不仅大的桃子被摘走，连尚未成熟的小桃子也被摘下丢了一地，桃树的枝杈也被折断了不少。今年天气不适宜桃子生长，产量本来就没有往年多，看到亲手种的桃子被这样糟蹋，陈阿姨又气又急。凤桥派出所民警通过现场勘查和监控调查，很快锁定了嫌疑车辆和三名嫌疑人。民警第一时间找到嫌疑人住处，敲开门后发现，三人正在一边清洗水蜜桃一边商讨水蜜桃的吃法。经查，三名嫌疑人是同事关系。案发当晚，罗某开车带李某、吴某去游泳，在路过陈阿姨的桃园时，被一阵水蜜桃香勾出了馋虫，于是偷偷潜入桃园。\r\n\r\n桃子的香气引得他们直流口水，三人甚至顾不上摘，直接咬树上的桃子来解馋。\r\n\r\n目前，罗某、李某、吴某因盗窃被公安机关，依法处以行政拘留5天的处罚，同时三人向陈阿姨赔偿了经济损失4000元。\r\n\r\n7月24日，此事在网上引发网友热议，有网友表示，“馋摘几个吃吃，感受一下小时候的感觉可以理解，全部摘光属于偷窃行为，性质不同了”，也有网友表示，“想吃就去买，没必要去偷”。', '潇湘晨报', '2022-07-24 12:10:26');
INSERT INTO `epknowledgeinfo` VALUES (9, '两封穿越时空的信', '“带着我的梦想上天宫”征集活动开展以来，收到全国各地3万余封来信。香港培侨中学的陈蔓琳和同学也相约写信，寄给中国空间站。令她惊喜的是，自己的信真的收到了回音。航天员陈冬在信中鼓励她和同学们勇敢追梦，将来为我国的航天事业做出贡献。\r\n\r\n从地球到太空，从天宫到校园，两封穿越时空的信，一次畅谈心扉的交流，拉近了天与地的距离。', '人民日报', '2022-07-24 11:15:36');
INSERT INTO `epknowledgeinfo` VALUES (10, '女子车内被殴打扒衣 警方:感情纠纷', '近日，网曝安徽六安有人当街堵车，并抓住车内女子殴打扒衣。被打女子称，再也不想跟他有任何瓜葛了。网上曝光的视频显示，一女子在奥迪车内遭到另一女子掌掴，衣服被撕扯。在这个过程中，一小男孩护住白衣女子，期间有路人劝阻黑衣女子“你不能在公路上打人”。有网友称，一个男的看到他老婆拔腿就跑了。有感情纠纷就可以随意打人？这一位打人的够狠，但你打错对象了，应该打你自己的老公。惩戒小三你也得看小三知不知情，万一是男人骗她说单身呢？感情这种事儿，自己的感情，自己的婚姻，只能自己努力经营好。\r\n\r\n有人称，已经调查清楚了，人家根本就不知道那男的有对象。如果是小三被打很正常，但是一定要搞清楚不能打错人，打小三也不要撕衣服呀！如果是我，也不会在大街上出手。想过就既往不咎。不想过直接就离。这样也是对自己的尊重。也有人认为，难道自律、道德观、责任感不是每个人该有的？这个男人出轨要怪他老婆没魅力？就算没魅力出轨就应该？希望国家能出台相关的法律，能对小三和出轨者采取有效的惩戒。家是国之本，看看现在的那么多家庭因为小三出问题，很少有完美和谐的了。', '科技生活快报', '2022-07-24 14:00:46');

-- ----------------------------
-- Table structure for facultyinfo
-- ----------------------------
DROP TABLE IF EXISTS `facultyinfo`;
CREATE TABLE `facultyinfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `Faculty_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '院系名称',
  `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 5 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of facultyinfo
-- ----------------------------
INSERT INTO `facultyinfo` VALUES (1, '软件工程', '2022-07-18 09:30:42');
INSERT INTO `facultyinfo` VALUES (2, '信息与制造', '2022-07-18 09:31:10');
INSERT INTO `facultyinfo` VALUES (3, '继续教育', '2022-07-18 09:31:21');
INSERT INTO `facultyinfo` VALUES (4, '土木工程与建造', '2022-07-18 09:31:37');

-- ----------------------------
-- Table structure for govdocumentsinfo
-- ----------------------------
DROP TABLE IF EXISTS `govdocumentsinfo`;
CREATE TABLE `govdocumentsinfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键、自增',
  `title` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '文章标题',
  `content` longtext CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '文章内容',
  `source` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '文章来源',
  `create_time` datetime(0) NOT NULL COMMENT '文章创建时间',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 11 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of govdocumentsinfo
-- ----------------------------
INSERT INTO `govdocumentsinfo` VALUES (1, '神州十四号航天员在太空等待问天', '问天实验舱的发射，是中国空间站首次在有人的状态下迎接航天器的来访。在这样一个重要的历史时刻，三名航天员也满怀期待迎接自己的新家。\r\n\r\n　　7月24日中午，问天实验舱发射前，空间站组合体过境祖国海南岛上空，神舟十四号航天员乘组从太空中拍下了海南岛。三名航天员在轨收看了问天实验舱发射的全过程。神舟十四号航天员 陈冬：热烈欢迎问天舱从我们日思夜想的祖国向我们奔赴而来。这是有史以来第一次，中国航天员在太空观看发射任务，在浩瀚宇宙迎接空间站另一个舱段的到来。我们亲眼见证空间站的逐渐壮大，亲身参与空间站的建设工作，我们深感荣幸和自豪。家与家联通，太空家园展新颜；天与地齐心，航天任务谱新篇。我们会继续努力！神舟十四号航天员 刘洋：非常感谢地面科研人员给我们送来问天舱，让我们的太空家园变得更加宽敞。我们深感使命光荣，也将不负重托，继续完成对太空家园的建造工作，完成中国空间站的搭建任务。今天，我要将这一历史时刻叠成一颗幸运星，把对中国太空家园的美好祝福写进星辰大海。神舟十四号航天员 蔡旭哲：后续我们还将陆续迎来梦天舱、天舟五号和神舟十五号乘组的到来。让我们共同期待这美好的时刻，共同见证璀璨星空诞生越来越多的中国奇迹、越来越快的中国速度。', '央视新闻客户端', '2022-07-24 20:22:00');
INSERT INTO `govdocumentsinfo` VALUES (2, '（国际）日本樱岛火山喷发 气象厅发布最高级别警报', '本文转自：新华社\r\n\r\n新华社东京7月24日电（记者郭丹）据日本气象厅消息，日本九州地区鹿儿岛县的樱岛火山24日晚发生大规模喷发。日本气象厅已发布最高级别警报，并要求周边民众紧急避险。\r\n\r\n日本气象厅说，当地时间24日20时05分许，樱岛南岳山顶火山口发生喷发，受风力影响，烟尘朝东吹去。火山喷发带来的火山碎屑流出2.5公里远。\r\n\r\n气象厅说，从18日起，樱岛观测到细微的地壳变动，显示山体正在膨胀。23日到24日下午3时，南岳山顶火山口共发生4次喷发，喷发的烟尘最高达1200米。\r\n\r\n据鹿儿岛市消防局消息，目前尚未收到人员伤亡消息。\r\n\r\n樱岛是位于日本九州南部鹿儿岛湾内的一座活火山岛，面积77平方公里，由北岳、中岳、南岳3座火山体组成。\r\n\r\n本文转自：新华社\r\n\r\n新华社东京7月24日电（记者郭丹）据日本气象厅消息，日本九州地区鹿儿岛县的樱岛火山24日晚发生大规模喷发。日本气象厅已发布最高级别警报，并要求周边民众紧急避险。\r\n\r\n日本气象厅说，当地时间24日20时05分许，樱岛南岳山顶火山口发生喷发，受风力影响，烟尘朝东吹去。火山喷发带来的火山碎屑流出2.5公里远。\r\n\r\n气象厅说，从18日起，樱岛观测到细微的地壳变动，显示山体正在膨胀。23日到24日下午3时，南岳山顶火山口共发生4次喷发，喷发的烟尘最高达1200米。\r\n\r\n据鹿儿岛市消防局消息，目前尚未收到人员伤亡消息。\r\n\r\n樱岛是位于日本九州南部鹿儿岛湾内的一座活火山岛，面积77平方公里，由北岳、中岳、南岳3座火山体组成。', '人民资讯', '2022-07-24 22:56:26');
INSERT INTO `govdocumentsinfo` VALUES (3, '两封穿越时空的信', '“带着我的梦想上天宫”征集活动开展以来，收到全国各地3万余封来信。香港培侨中学的陈蔓琳和同学也相约写信，寄给中国空间站。令她惊喜的是，自己的信真的收到了回音。航天员陈冬在信中鼓励她和同学们勇敢追梦，将来为我国的航天事业做出贡献。\r\n\r\n从地球到太空，从天宫到校园，两封穿越时空的信，一次畅谈心扉的交流，拉近了天与地的距离。\r\n\r\n（来源：人民日报客户端）', '人民日报', '2022-07-24 11:15:02');
INSERT INTO `govdocumentsinfo` VALUES (4, '供奉侵华日军战犯牌位的吴啊萍受审讯画面曝光：想跟所有人忏悔', '南京通报玄奘寺供奉侵华日军战犯牌位事件调查处理情况\r\n\r\n玄奘寺供奉侵华日军战犯牌位事件发生后，南京市委市政府迅速成立调查组，组织进行全面深入调查处理。现将有关情况通报如下。\r\n\r\n经调查核实，在玄奘寺供奉侵华日军战犯牌位者为吴啊萍（女，1990年9月生，大学学历，无曾用名），自幼在原籍福建晋江生活，2000年迁至南京随父母生活，2009年到北京某医学院就读，2013年进入南京某医院从事护理工作，2019年9月辞职去五台山某寺庙当居士，2022年7月22日被南京市公安机关依法立案调查。\r\n\r\n2017年12月18日，吴啊萍到玄奘寺要求供奉牌位，并在登记表上填写“松井石根、谷寿夫、野田毅、田中军吉、向井敏明、华群（美国人明妮·魏特琳）”6人名字。当值僧人灵松（1979年9月生，初中辍学）询问被供奉者是其亲属还是朋友，吴啊萍谎称是其朋友。寺庙按照每个牌位每年100元标准、供奉5年共收费3000元，灵松开具了收据，注明供奉时间“2018—2022”，随后在黄色牌位纸（9×4厘米）上写下标注“友”字的6人名字和“吴啊萍”落款，塑封后摆放于地藏殿的“往生莲位”区第15排7—12号位，距地面高度约3米。2018年底，玄奘寺对地藏殿进行修缮，陆续将牌位全部撤下。2021年12月地藏殿修缮完毕后，牌位被摆回原处。\r\n\r\n2022年2月26日，一名女信众到玄奘寺地藏殿寻找自己供奉的牌位，僧人庆玄、禄玄与几名游客一起帮助寻找，其间发现了侵华日军战犯牌位，一游客拍下照片。庆玄随即撤下5名侵华日军战犯牌位，当晚将此事告知住持传真，传真要求严禁外传，此后一直未向主管部门报告。7月21日，拍照游客将照片发布到社交平台，被大量转发，引起社会高度关注。\r\n\r\n经公安机关广泛走访、全面深入调查，吴啊萍供奉侵华日军战犯牌位属个人行为，未发现其受人指使或与他人共谋的情况。据吴啊萍供述，她到南京后了解到侵华日军战犯的暴行，知道了松井石根等5名战犯的罪行，遂产生心理阴影，长期被噩梦缠绕；在接触佛教后，产生了通过供奉5名侵华日军战犯“解冤释结”、“脱离苦难”的错误想法；同时了解到美国传教士魏特琳女士在侵华日军南京大屠杀期间保护女性的善举，因受战争刺激，回国后在家中自杀，想通过供奉帮其解脱。经调查，2017年3月以来，吴啊萍曾因失眠、焦虑等症状，先后3次到医院就诊，并服用镇静催眠药物。吴啊萍出于自己对因果释结的错误认知和自私自利的动机，在明知5名被供奉者为侵华日军战犯的情况下，仍出资在宗教活动场所为其设置牌位，严重违背了佛教扬善惩恶的教义教规，严重破坏公共秩序，严重伤害民族感情，造成恶劣社会影响，涉嫌犯寻衅滋事罪，已被公安机关刑事拘留，案件正在进一步审理中。\r\n\r\n此次事件发生后，南京市宗教事务管理部门对玄奘寺进行了调查处理。玄奘寺对被供奉者身份没有进行核查，发现供奉侵华日军战犯牌位后，虽已撤下但一直隐瞒不报。根据《宗教事务条例》相关规定，南京市玄武区民宗局已责令玄奘寺进行整顿，并已撤换传真玄奘寺主要负责人职务；市佛教协会同时免除传真副会长职务。对反映的玄奘寺及相关人员其他问题线索，有关部门将依法依规进一步调查处理。\r\n\r\n此次玄奘寺供奉侵华日军战犯牌位事件，暴露出我市在宗教活动场所管理等方面存在的问题，市及玄武区宗教事务管理部门作风不严不实，对有关宗教活动场所失管失察。南京市委、玄武区委及纪检监察机关已依纪依规依法对相关责任人作出严肃处理：对市民宗局党组书记、局长苏宇红予以诫勉，对市民宗局党组成员、副局长纪勤予以免职、给予党内严重警告处分，对市民宗局党组成员、副局长王键给予党内警告处分，对市民宗局宗教一处处长张文波给予党内警告处分，对市民宗局政策法规处（行政审批服务处）处长后乃娟给予党内警告处分，对玄武区民宗局局长胡圆圆予以免职、给予党内严重警告处分，对玄武区民宗局副局长周勇给予党内严重警告处分，对玄武区民宗局民宗科科长杨菁给予政务警告处分，对玄武区玄武门街道统战委员桂旭光给予党内警告处分。\r\n\r\n在宗教活动场所发生供奉侵华日军战犯牌位事件，严重冲击社会道德底线，严重伤害民族感情，令人震惊和愤慨。广大网民和市民及时发现指出问题，充分体现了强烈的爱国情感，体现了对南京的关心关爱。我们将深刻警醒反思，深刻汲取教训，举一反三、全面整改，坚决防止类似问题发生。南京见证了中华民族从沉沦中奋起的苦难与辉煌，对挑衅历史定论、挑战民族大义的行为，我们坚决依法严惩，以实际行动守护历史记忆，捍卫民族尊严，维护和平正义。\r\n\r\n南京市委市政府调查组\r\n\r\n2022年7月24日', '杭州日报', '2022-07-25 07:00:00');
INSERT INTO `govdocumentsinfo` VALUES (5, '南京通报玄奘寺供奉侵华日军战犯牌位事件调查处理情况', '7月24日，南京市委市政府调查组发布消息，通报玄奘寺供奉侵华日军战犯牌位事件调查处理情况，通报全文如下：\r\n\r\n关于南京玄奘寺供奉侵华日军\r\n\r\n战犯牌位事件调查处理情况的通报\r\n\r\n玄奘寺供奉侵华日军战犯牌位事件发生后，南京市委市政府迅速成立调查组，组织进行全面深入调查处理。现将有关情况通报如下。\r\n\r\n经调查核实，在玄奘寺供奉侵华日军战犯牌位者为吴啊萍（女，1990年9月生，大学学历，无曾用名），自幼在原籍福建晋江生活，2000年迁至南京随父母生活，2009年到北京某医学院就读，2013年进入南京某医院从事护理工作，2019年9月辞职去五台山某寺庙当居士，2022年7月22日被南京市公安机关依法立案调查。\r\n\r\n2017年12月18日，吴啊萍到玄奘寺要求供奉牌位，并在登记表上填写“松井石根、谷寿夫、野田毅、田中军吉、向井敏明、华群（美国人明妮·魏特琳）”6人名字。当值僧人灵松（1979年9月生，初中辍学）询问被供奉者是其亲属还是朋友，吴啊萍谎称是其朋友。寺庙按照每个牌位每年100元标准、供奉5年共收费3000元，灵松开具了收据，注明供奉时间“2018—2022”，随后在黄色牌位纸（9×4厘米）上写下标注“友”字的6人名字和“吴啊萍”落款，塑封后摆放于地藏殿的“往生莲位”区第15排7—12号位，距地面高度约3米。2018年底，玄奘寺对地藏殿进行修缮，陆续将牌位全部撤下。2021年12月地藏殿修缮完毕后，牌位被摆回原处。\r\n\r\n2022年2月26日，一名女信众到玄奘寺地藏殿寻找自己供奉的牌位，僧人庆玄、禄玄与几名游客一起帮助寻找，其间发现了侵华日军战犯牌位，一游客拍下照片。庆玄随即撤下5名侵华日军战犯牌位，当晚将此事告知住持传真，传真要求严禁外传，此后一直未向主管部门报告。7月21日，拍照游客将照片发布到社交平台，被大量转发，引起社会高度关注。\r\n\r\n经公安机关广泛走访、全面深入调查，吴啊萍供奉侵华日军战犯牌位属个人行为，未发现其受人指使或与他人共谋的情况。据吴啊萍供述，她到南京后了解到侵华日军战犯的暴行，知道了松井石根等5名战犯的罪行，遂产生心理阴影，长期被噩梦缠绕；在接触佛教后，产生了通过供奉5名侵华日军战犯“解冤释结”、“脱离苦难”的错误想法；同时了解到美国传教士魏特琳女士在侵华日军南京大屠杀期间保护女性的善举，因受战争刺激，回国后在家中自杀，想通过供奉帮其解脱。经调查，2017年3月以来，吴啊萍曾因失眠、焦虑等症状，先后3次到医院就诊，并服用镇静催眠药物。吴啊萍出于自己对因果释结的错误认知和自私自利的动机，在明知5名被供奉者为侵华日军战犯的情况下，仍出资在宗教活动场所为其设置牌位，严重违背了佛教扬善惩恶的教义教规，严重破坏公共秩序，严重伤害民族感情，造成恶劣社会影响，涉嫌犯寻衅滋事罪，已被公安机关刑事拘留，案件正在进一步审理中。\r\n\r\n此次事件发生后，南京市宗教事务管理部门对玄奘寺进行了调查处理。玄奘寺对被供奉者身份没有进行核查，发现供奉侵华日军战犯牌位后，虽已撤下但一直隐瞒不报。根据《宗教事务条例》相关规定，南京市玄武区民宗局已责令玄奘寺进行整顿，并已撤换传真玄奘寺主要负责人职务；市佛教协会同时免除传真副会长职务。对反映的玄奘寺及相关人员其他问题线索，有关部门将依法依规进一步调查处理。\r\n\r\n此次玄奘寺供奉侵华日军战犯牌位事件，暴露出我市在宗教活动场所管理等方面存在的问题，市及玄武区宗教事务管理部门作风不严不实，对有关宗教活动场所失管失察。南京市委、玄武区委及纪检监察机关已依纪依规依法对相关责任人作出严肃处理：对市民宗局党组书记、局长苏宇红予以诫勉，对市民宗局党组成员、副局长纪勤予以免职、给予党内严重警告处分，对市民宗局党组成员、副局长王键给予党内警告处分，对市民宗局宗教一处处长张文波给予党内警告处分，对市民宗局政策法规处（行政审批服务处）处长后乃娟给予党内警告处分，对玄武区民宗局局长胡圆圆予以免职、给予党内严重警告处分，对玄武区民宗局副局长周勇给予党内严重警告处分，对玄武区民宗局民宗科科长杨菁给予政务警告处分，对玄武区玄武门街道统战委员桂旭光给予党内警告处分。\r\n\r\n在宗教活动场所发生供奉侵华日军战犯牌位事件，严重冲击社会道德底线，严重伤害民族感情，令人震惊和愤慨。广大网民和市民及时发现指出问题，充分体现了强烈的爱国情感，体现了对南京的关心关爱。我们将深刻警醒反思，深刻汲取教训，举一反三、全面整改，坚决防止类似问题发生。南京见证了中华民族从沉沦中奋起的苦难与辉煌，对挑衅历史定论、挑战民族大义的行为，我们坚决依法严惩，以实际行动守护历史记忆，捍卫民族尊严，维护和平正义。\r\n\r\n（总台记者 景明 唐高林）', '国际在线', '2022-07-24 22:34:00');
INSERT INTO `govdocumentsinfo` VALUES (6, '校党委书记被免职！“邵阳学院花1800万引进23名菲律宾博士”一事，官方通报来了', '湖南省政府网于7月24日发布关于邵阳学院引进博士有关情况的通报：\r\n\r\n近期，邵阳学院引进博士一事引发社会关注。对此，省委省政府高度重视，省教育厅立即成立调查组进驻学院进行调查。\r\n\r\n经查，邵阳学院没有结合学院发展实际科学制订师资队伍建设规划，在博士人才引进等方面存在不当做法。学院党委在此过程中论证不充分、决策不科学、工作不严谨，党委书记彭希林同志负有主要领导责任。省教育厅已责成邵阳学院纠正不当做法。\r\n\r\n省委已对彭希林同志给予免职处理。据邵阳学院官网显示，彭希林此前担任该校党委书记一职。日前，湖南省邵阳学院发布于该校官网的一份引进人才待遇公示，引发舆论争议。\r\n\r\n7月7日，湖南省邵阳学院人事处发布的《出国攻读博士毕业返校与同类型拟引进博士名单待遇公示》出现在该校官网主页上。\r\n\r\n公示显示，该校本批次引进23名在菲律宾亚当森大学读取哲学（教育学）专业的博士生。每名博士生引进费35万元、科研启动费15万元、过渡性租房补贴14.4万元、不需解决配偶工作增加引进费20万元，合计84.4万元。根据这则公示，兑付上述23名博士的待遇，该校总计需花费1800万元。公示显示，这23名博士均是2019年8月~2021年12月在亚当森大学完成博士学历，所学专业均为哲学（教育学），除一位音乐舞蹈学院的副教授备注为“校外引进”外，其余22名博士之前便为该校工作人员，职称包括讲师、副教授、高级实验师等，备注均为“毕业返校”。\r\n\r\n据新京报，公示发布后，引发网友接连质疑：公示名单显示，前述23名博士统一毕业于菲律宾亚当森大学哲学（教育学）专业，却分别就职于该校机械与能源工程学院、理学院、经济与管理学院、体育学院等多个“专业不对口”的二级学院；\r\n\r\n此外，这批博士的就读时间均是2019年8月至2021年12月，相比国内高校主流的博士“四年学制”大为“缩水”，且亚当森大学并非当地名校，哲学专业也很一般。\r\n\r\n7月19日，话题“校方回应花1800万引进23名菲律宾博士”登上了微博热搜。据新黄河，18日，邵阳学院办公室一位工作人员回应称，学校已经关注到网上对此事的争议，后续学校人事处会统一进行回复。\r\n\r\n据新京报，18日，湖南省教育厅人事处一工作人员对表示，“我们已经关注到了网上的相关舆情，正在与邵阳学院衔接处理。”\r\n\r\n邵阳学院多名二级学院院长向新京报记者表示，由于难以引进国内的博士人才，学校不得不采取“权宜之计”，内部选拔一批拥有硕士学历的教师前往国外读取博士，“提高教师队伍中博士学历的比例，对以后升级为大学、申请硕士点都有帮助。”\r\n\r\n每日经济新闻综合自湖南省省政府网、新黄河、新京报、公开资料\r\n\r\n每日经济新闻', '每日经济新闻', '2022-07-24 23:39:24');
INSERT INTO `govdocumentsinfo` VALUES (7, '东亚杯：国足0-0战平日本队，韩佳奇多次关键扑救', '齐鲁网·闪电新闻7月24日讯 山东电视体育频道消息，今晚6点20，东亚杯第二轮开打，国足对阵日本男足。最终，国足0-0战平日本队。\r\n\r\n上半场，第1分钟，吴少聪后场长传给到前场左路，小温跟上凌空抽射，大迫敬介扑球脱手出了底线，国足获得角球。第10分钟，胁坂泰斗右路推进带到禁区线上直接起脚打门，韩佳奇飞身将球扑出。第37分钟，宫市亮右路带球杀到突到禁区，朱辰杰上抢放铲直接将球破坏。第43分钟，日本右路小池龙太下底传中，国足门前解围失误，禁区内混战，韩佳奇将球破坏。上半场，日本队多次威胁国足球门，韩佳奇做出多次扑救力保球门不失。半场战罢，中国男足0-0日本队。下半场，第59分钟，韩佳奇倒地扑救，挡出细谷真大内切抽射。第78分钟，町野修斗禁区内头球攻门，球顶偏了。第81分钟，制造威胁，朱辰杰禁区内凌空射门打高。第84分钟，韩佳奇门前反应迅速，挡出对手劲射打门。\r\n\r\n【双方阵容】\r\n\r\n中国男足首发：\r\n\r\n1-韩佳奇、3-吴少聪、5-朱辰杰、6-蒋光太、16-温家宝、8-戴伟浚、19-黄嘉辉、18-何宇鹏、20-方昊、11-谭龙、14-陈国抗\r\n\r\n替补：\r\n\r\n12-彭鹏、25-黄子豪、2-叶力江-什那儿、4-蒋圣龙、17-徐浩峰、23-梁少文、24苏士豪、13-徐越、15-迪力依米提-土地、7-陶强龙、21-么旭辰、22-刘祝润、26-刘若钒\r\n\r\n日本首发：\r\n\r\n1-大迫敬介、4-中谷进之介、19-佐佐木翔、22-荒木隼人、25-小池龙太、7-野津田岳人、8-森岛司、14-胁坂泰斗、15-桥本拳人、17-宫市亮、20-细谷真大\r\n\r\n替补：\r\n\r\n12-谷晃生、23-铃木彩艳、2-山根视来、3-谷口彰悟、5-畠中槙之辅、6-岩田智辉、9-西村拓真、10-岩崎悠人、11-町野修斗、13-杉冈大晖、16-相马勇纪、18-水沼宏太、21-满田诚、24-大南拓磨、26-藤田让瑠', '闪电新闻', '2022-07-24 20:12:34');
INSERT INTO `govdocumentsinfo` VALUES (8, '青岛李沧区一酒店疑发生闪爆，事故原因正在调查中', '本文转自【半岛新闻】；\r\n\r\n7月24日下午，李沧区湘潭路街道雨湖路上一酒店疑发生闪爆事故。当天下午6时许，半岛全媒体记者在现场看到，事发酒店已盖上了一层篷布，酒店工作人员正在清理现场。记者注意到，闪爆产生的冲击波威力巨大，酒店玻璃等设施受损严重，数十米远外的马路上散落着破碎的玻璃碴子。附近一家商店员工回忆，事发时发生一声巨响，感觉商店都“晃了一下”。记者从湘潭路街道办事处获悉，事故发生后工作人员第一时间赶到现场，初步调查事故可能与燃气罐软管有关。据相关负责人介绍，此次事故未造成人员伤亡，目前事故确切原因正在调查中。', '环球网', '2022-07-24 19:53:03');
INSERT INTO `govdocumentsinfo` VALUES (9, '沈阳多个核酸点检测人员被拖欠工资？当地卫健局：款项已经拨至外包公司', '天目新闻 记者 商泽阳\r\n\r\n近日，有辽宁沈阳网友爆料称，当地部分核酸点贴出了“停止检测”的通知，而检测人员罢工原因疑为被拖欠工资。\r\n\r\n7月23日，天目新闻记者联系上了同样被拖欠工资的核酸采样员张涵（化名），张涵告诉记者，她此前是在今年沈阳疫情较为严峻的时候，上岗成为一名核酸检测“大白”，“当时沈阳市沈河区卫生健康局委托沈阳盛京服务外包有限公司（以下简称‘沈阳盛京’）在智联招聘、BOSS直聘等招聘平台发布了招聘核酸采样员的岗位，我们是和沈阳盛京签署的临时用工协议。”\r\n\r\n张涵提供的临时用工协议中显示，乙方同意由甲方派遣至沈阳市沈河区卫生健康局工作，乙方的工作岗位、地点由用工单位确定并由用工单位负责日常管理。同时，该份临时用工协议中也明确规定岗位工资标准为4000元一月，甲方每月的15日，以转账形式支付乙方工资。张涵向记者透露，从5月份至今自己只收到了一笔工资，还是因为采样员去投诉，才由沈阳盛京垫付的，“收到的是5月份的工资，6月和7月的工资一直没收到，问了沈阳盛京方，他们工作人员回应称是局里钱没发下来。”\r\n\r\n针对部分核酸点贴出了“停止检测”的通知，张涵也表示，核酸检测点出现人员罢工现象实属无奈，“现在我所了解到仅沈河区被拖欠工资的核酸采样员就有数十人，大家都可以等，但需要沈阳盛京或者区卫生健康局给出明确时间。”\r\n\r\n23日下午，天目新闻记者拨打了临时用工协议中沈阳盛京所填写的电话，接听电话的工作人员则表示该电话号码属于辽宁中企人力资源服务有限公司，对沈阳盛京服务外包有限公司不了解，旗下没有招聘过核酸采样员的岗位。根据爱企查显示，沈阳盛京服务外包有限公司地址为沈阳市沈河区悦宾街1号方圆大厦，但临时用工协议中却是沈阳市大东区小河沿路3号，且沈阳盛京的法定代表人与辽宁中企人力资源服务有限公司法定代表人同名，辽宁中企人力资源服务有限公司是沈阳盛京的股东之一。\r\n\r\n随后，记者又拨打了沈阳市沈河区卫生健康局局长办公室电话，工作人员回应：“此前应该是政府财政部门晚转了几天，22日已经由财政部门拨了这笔款项，且款项是直接汇给沈阳盛京服务外包有限公司，不经过局里。”', '天目新闻', '2022-07-24 10:09:29');
INSERT INTO `govdocumentsinfo` VALUES (10, '3人路过桃园嘴馋上树偷摘84斤水蜜桃，被抓时正商量怎么吃', '产自嘉兴凤桥的水蜜桃，是远近闻名的消暑佳品。近日，浙江嘉兴南湖区公安分局凤桥派出所接到报警，辖区永红村的陈阿姨家辛苦种植一年的水蜜桃被偷了。接警后，民警很快锁定了嫌疑车辆和三名嫌疑人，民警找到他们时，三人正在一边清洗水蜜桃，一边商讨水蜜桃的吃法。经查，三名嫌疑人是同事关系，目前三人因盗窃被公安机关依法处以行政拘留5天的处罚，同时，三人向陈阿姨赔偿了经济损失4000元。\r\n\r\n据嘉兴公安，近日一大早，陈阿姨来到自家桃园正要摘取水蜜桃去贩卖，却发现前一天还硕果累累的十几棵桃树“秃”了。只见现场一片狼藉，不仅大的桃子被摘走，连尚未成熟的小桃子也被摘下丢了一地，桃树的枝杈也被折断了不少。今年天气不适宜桃子生长，产量本来就没有往年多，看到亲手种的桃子被这样糟蹋，陈阿姨又气又急。凤桥派出所民警通过现场勘查和监控调查，很快锁定了嫌疑车辆和三名嫌疑人。民警第一时间找到嫌疑人住处，敲开门后发现，三人正在一边清洗水蜜桃一边商讨水蜜桃的吃法。经查，三名嫌疑人是同事关系。案发当晚，罗某开车带李某、吴某去游泳，在路过陈阿姨的桃园时，被一阵水蜜桃香勾出了馋虫，于是偷偷潜入桃园。\r\n\r\n桃子的香气引得他们直流口水，三人甚至顾不上摘，直接咬树上的桃子来解馋。\r\n\r\n目前，罗某、李某、吴某因盗窃被公安机关，依法处以行政拘留5天的处罚，同时三人向陈阿姨赔偿了经济损失4000元。\r\n\r\n7月24日，此事在网上引发网友热议，有网友表示，“馋摘几个吃吃，感受一下小时候的感觉可以理解，全部摘光属于偷窃行为，性质不同了”，也有网友表示，“想吃就去买，没必要去偷”。', '潇湘晨报', '2022-07-24 12:10:40');

-- ----------------------------
-- Table structure for leaveschoolinfo
-- ----------------------------
DROP TABLE IF EXISTS `leaveschoolinfo`;
CREATE TABLE `leaveschoolinfo`  (
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-- ----------------------------
-- Records of leaveschoolinfo
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INSERT INTO `leaveschoolinfo` VALUES (2, '张三1', 2, '剪头发', '2022-07-11 14:13:06', '0000-00-00 00:00:00', '2022-07-11 14:13:06', '2022-07-25 21:39:49', NULL, '21313');
INSERT INTO `leaveschoolinfo` VALUES (3, '张三2', 1, '生病感冒', '2022-07-11 14:13:06', '0000-00-00 00:00:00', '2022-07-11 14:13:06', '2022-07-11 14:13:06', NULL, '123123');
INSERT INTO `leaveschoolinfo` VALUES (4, 'lisi', 0, '约会', '2022-07-11 22:07:59', '2022-07-13 22:07:59', '2022-07-12 22:07:37', '2022-07-12 22:07:37', NULL, '123');
INSERT INTO `leaveschoolinfo` VALUES (5, '王五', 1, '头晕', '2022-01-01 00:00:00', '2022-01-03 00:00:00', '2022-07-14 08:22:01', '2022-07-14 08:22:01', NULL, '31233');
INSERT INTO `leaveschoolinfo` VALUES (6, '1231321', 0, '测试出校数据', '2022-07-15 08:40:59', '2022-08-15 08:40:59', '2022-07-15 08:41:13', '2022-07-15 08:41:13', NULL, '3333');
INSERT INTO `leaveschoolinfo` VALUES (7, '3243', 0, '234', '2022-07-21 00:00:00', '2022-07-21 00:00:00', '2022-07-21 21:30:53', '2022-07-21 21:30:53', NULL, '2222');
INSERT INTO `leaveschoolinfo` VALUES (8, '李元芳', 0, 'dsfsd', '2022-07-25 00:00:00', '2022-07-25 00:00:00', '2022-07-25 15:09:54', '2022-07-25 15:09:54', NULL, '1111');
INSERT INTO `leaveschoolinfo` VALUES (9, '李元芳', 1, '出门散心', '2022-08-26 00:00:00', '2022-09-26 00:00:00', '2022-07-26 21:53:14', '2022-07-26 21:53:14', NULL, '23440101411');
INSERT INTO `leaveschoolinfo` VALUES (10, '李元芳', 1, '萨顶顶的光和热', '2022-08-27 00:00:00', '2022-09-27 00:00:00', '2022-07-27 08:21:02', '2022-07-27 08:21:02', '尽早返回', '23440101411');
INSERT INTO `leaveschoolinfo` VALUES (11, '李元芳', 1, '天高皇帝远封口费哈尔v', '2022-07-27 00:00:00', '2022-08-27 00:00:00', '2022-07-27 08:21:30', '2022-07-27 08:21:30', '尽早返回', '23440101411');
INSERT INTO `leaveschoolinfo` VALUES (12, '李元芳', 2, '热帖热帖', '2022-07-27 00:00:00', '2022-08-27 00:00:00', '2022-07-27 08:25:51', '2022-07-27 08:25:51', '疫情不可出校', '23440101411');
INSERT INTO `leaveschoolinfo` VALUES (13, '李元芳', 1, '去玩', '2022-08-27 00:00:00', '2022-09-27 00:00:00', '2022-07-27 08:37:06', '2022-07-27 08:37:06', '同意。早点回来', '23440101411');
INSERT INTO `leaveschoolinfo` VALUES (14, '李元芳', 1, 'gdfd', '2022-09-27 00:00:00', '2022-10-27 00:00:00', '2022-07-27 15:59:34', '2022-07-27 15:59:34', NULL, '23440101411');
INSERT INTO `leaveschoolinfo` VALUES (15, '李元芳', 1, 'vbfgjghgdff', '2024-09-27 00:00:00', '2024-10-27 00:00:00', '2022-07-27 16:27:39', '2022-07-27 16:27:39', '同意，早去早回', '23440101411');

-- ----------------------------
-- Table structure for newslettersinfo
-- ----------------------------
DROP TABLE IF EXISTS `newslettersinfo`;
CREATE TABLE `newslettersinfo`  (
  `id` int(11) NOT NULL COMMENT '主键、自增',
  `address` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '文章地区',
  `title` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '文章标题',
  `content` text CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '文章内容',
  `create_time` datetime(0) NOT NULL COMMENT '文章创建时间',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of newslettersinfo
-- ----------------------------

-- ----------------------------
-- Table structure for pointloginfo
-- ----------------------------
DROP TABLE IF EXISTS `pointloginfo`;
CREATE TABLE `pointloginfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键、自增',
  `stuname` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '学生名字',
  `changepoint` int(255) NOT NULL COMMENT '积分值变动',
  `nowpoint` int(11) NOT NULL COMMENT '现有积分值',
  `remark` text CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '积分获取说明',
  `create_time` datetime(0) NOT NULL COMMENT '创建时间',
  `none` int(1) NOT NULL,
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 10 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of pointloginfo
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INSERT INTO `pointloginfo` VALUES (1, '张三', 5, 35, '管理员修改', '2022-07-13 22:27:27', 0);
INSERT INTO `pointloginfo` VALUES (2, '张三', -15, 20, '管理员修改', '2022-07-13 22:28:19', 0);
INSERT INTO `pointloginfo` VALUES (3, '张三', 1, 21, '管理员修改', '0000-00-00 00:00:00', 0);
INSERT INTO `pointloginfo` VALUES (4, '张三', 0, 21, '管理员修改', '0000-00-00 00:00:00', 0);
INSERT INTO `pointloginfo` VALUES (5, '张三', 0, 21, '管理员修改', '2022-07-13 22:46:04', 0);
INSERT INTO `pointloginfo` VALUES (6, '张三', 0, 21, '管理员修改', '2022-07-13 22:46:32', 0);
INSERT INTO `pointloginfo` VALUES (7, '张三', 0, 21, '管理员修改', '2022-07-13 22:51:25', 0);
INSERT INTO `pointloginfo` VALUES (8, '张三', 4, 25, '管理员修改', '2022-07-13 23:12:26', 0);
INSERT INTO `pointloginfo` VALUES (9, '张三', 75, 100, '管理员修改', '2022-07-15 14:50:42', 0);

-- ----------------------------
-- Table structure for pointruleinfo
-- ----------------------------
DROP TABLE IF EXISTS `pointruleinfo`;
CREATE TABLE `pointruleinfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `check_days` int(255) NOT NULL COMMENT '第x天签到天数',
  `point_num` int(11) NOT NULL COMMENT '第x天签到获取积分值',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 8 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of pointruleinfo
-- ----------------------------
INSERT INTO `pointruleinfo` VALUES (1, 1, 1);
INSERT INTO `pointruleinfo` VALUES (2, 2, 2);
INSERT INTO `pointruleinfo` VALUES (3, 3, 3);
INSERT INTO `pointruleinfo` VALUES (4, 4, 4);
INSERT INTO `pointruleinfo` VALUES (5, 5, 5);
INSERT INTO `pointruleinfo` VALUES (6, 6, 6);
INSERT INTO `pointruleinfo` VALUES (7, 7, 7);

-- ----------------------------
-- Table structure for pointsinfo
-- ----------------------------
DROP TABLE IF EXISTS `pointsinfo`;
CREATE TABLE `pointsinfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键、自增',
  `uid` bigint(20) NOT NULL COMMENT '学生uid',
  `stuname` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '学生名字',
  `point` int(10) NOT NULL COMMENT '积分值',
  `days` int(255) NOT NULL COMMENT '连续签到天数',
  `create_time` datetime(0) NOT NULL COMMENT '创建时间',
  `update_time` datetime(0) NOT NULL COMMENT '修改时间',
  `none` int(1) NOT NULL COMMENT '1：存在 0：删除',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 6 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of pointsinfo
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INSERT INTO `pointsinfo` VALUES (1, 0, '张三', 100, 0, '2022-07-11 14:17:53', '2022-07-15 14:50:42', 0);
INSERT INTO `pointsinfo` VALUES (2, 0, '张三1', 10, 0, '2022-07-11 14:17:53', '0000-00-00 00:00:00', 0);
INSERT INTO `pointsinfo` VALUES (3, 0, '张三2', 90, 0, '2022-07-11 14:17:53', '0000-00-00 00:00:00', 0);
INSERT INTO `pointsinfo` VALUES (4, 2044010111, '张三', 47, 1, '2022-07-18 10:42:44', '2022-07-18 15:24:58', 0);
INSERT INTO `pointsinfo` VALUES (5, 23440101411, '李元芳', 35, 8, '2022-07-19 10:40:57', '2022-07-27 22:25:44', 0);

-- ----------------------------
-- Table structure for powerinfo
-- ----------------------------
DROP TABLE IF EXISTS `powerinfo`;
CREATE TABLE `powerinfo`  (
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  `power` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '权限内容',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 5 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of powerinfo
-- ----------------------------
INSERT INTO `powerinfo` VALUES (1, '超级管理员');
INSERT INTO `powerinfo` VALUES (2, '普通管理员');
INSERT INTO `powerinfo` VALUES (3, '教导管理员');
INSERT INTO `powerinfo` VALUES (4, '普通教师管理员');

-- ----------------------------
-- Table structure for returnschoolinfo
-- ----------------------------
DROP TABLE IF EXISTS `returnschoolinfo`;
CREATE TABLE `returnschoolinfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键、自增',
  `stuname` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '学生名字',
  `leave_status` tinyint(4) NOT NULL COMMENT '0、申请中 1、同意 2、拒绝',
  `remark` text CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '返校说明',
  `return_date` datetime(0) NOT NULL COMMENT '归来日期',
  `create_time` datetime(0) NOT NULL COMMENT '创建时间',
  `update_time` datetime(0) NOT NULL COMMENT '修改时间',
  `explain` text CHARACTER SET utf8 COLLATE utf8_general_ci NULL COMMENT '修改状态说明',
  `uid` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT 'uid',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 12 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of returnschoolinfo
-- ----------------------------
INSERT INTO `returnschoolinfo` VALUES (1, '张三', 2, '回来读书', '2022-07-11 14:16:17', '2022-07-11 14:16:17', '2022-07-15 14:48:14', NULL, '');
INSERT INTO `returnschoolinfo` VALUES (2, '张三1', 1, '回来拿书', '2022-07-11 14:16:17', '2022-07-11 14:16:17', '0000-00-00 00:00:00', NULL, '');
INSERT INTO `returnschoolinfo` VALUES (3, '张三2', 2, '回来收拾行李', '2022-07-11 14:16:17', '2022-07-11 14:16:17', '0000-00-00 00:00:00', NULL, '');
INSERT INTO `returnschoolinfo` VALUES (4, 'lisi', 0, '约会', '2022-07-13 22:07:59', '2022-07-12 22:13:28', '2022-07-12 22:13:28', NULL, '');
INSERT INTO `returnschoolinfo` VALUES (5, 'lisi', 0, '约会', '2022-07-13 22:07:59', '2022-07-12 22:13:42', '2022-07-12 22:13:42', NULL, '');
INSERT INTO `returnschoolinfo` VALUES (6, '312312', 2, '测试', '2022-07-13 23:45:18', '2022-07-13 23:45:38', '2022-07-13 23:45:38', NULL, '');
INSERT INTO `returnschoolinfo` VALUES (7, 'lisi', 0, '约会', '2022-07-20 00:00:00', '2022-07-15 08:43:00', '2022-07-15 08:43:00', NULL, '');
INSERT INTO `returnschoolinfo` VALUES (8, '345', 0, '35454', '2022-07-21 00:00:00', '2022-07-21 21:32:15', '2022-07-21 21:32:15', NULL, '');
INSERT INTO `returnschoolinfo` VALUES (9, '李元芳', 0, 'sdsdfsdfsd', '2022-07-25 00:01:00', '2022-07-25 15:10:11', '2022-07-25 15:10:11', NULL, '123456');
INSERT INTO `returnschoolinfo` VALUES (10, 'lisi', 0, '约会', '2022-07-20 00:00:00', '2022-07-26 14:36:33', '2022-07-26 14:36:33', NULL, '1111');
INSERT INTO `returnschoolinfo` VALUES (11, '李元芳', 0, '回来读书', '2022-08-26 02:00:00', '2022-07-26 21:59:53', '2022-07-26 21:59:53', NULL, '23440101411');

-- ----------------------------
-- Table structure for stuinfo
-- ----------------------------
DROP TABLE IF EXISTS `stuinfo`;
CREATE TABLE `stuinfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '学生id、主键、自增',
  `faculty_id` int(11) NULL DEFAULT NULL COMMENT '院系id·',
  `grade` int(255) NULL DEFAULT NULL COMMENT '年级',
  `classnumber` int(11) NULL DEFAULT NULL COMMENT '所属班级',
  `uid` bigint(20) NULL DEFAULT NULL COMMENT '学工号',
  `name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '学生名字',
  `password` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '学生登录密码',
  `in_school_status` tinyint(255) NOT NULL COMMENT '0、离校  1、在校',
  `create_time` datetime(0) NOT NULL COMMENT '创建时间',
  `update_time` datetime(0) NOT NULL COMMENT '修改时间',
  `openid` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '微信OpenID',
  `invite_openid` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '被邀请id',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 18 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of stuinfo
-- ----------------------------
INSERT INTO `stuinfo` VALUES (1, 0, 0, 0, 2055950496, '张三', '123451111', 0, '2022-07-11 13:53:02', '2022-07-13 16:40:10', '', NULL);
INSERT INTO `stuinfo` VALUES (2, 0, 0, 0, 2055950496, '张三2', '123123', 1, '2022-07-11 13:54:53', '0000-00-00 00:00:00', '', NULL);
INSERT INTO `stuinfo` VALUES (3, 0, 0, 0, 2055950496, '张三3', '1111', 0, '2022-07-11 13:54:53', '2022-07-15 14:36:14', '', NULL);
INSERT INTO `stuinfo` VALUES (4, 0, 0, 0, 2055950496, '张三4', '222222', 1, '2022-07-11 13:54:53', '0000-00-00 00:00:00', '', NULL);
INSERT INTO `stuinfo` VALUES (5, 0, 0, 0, 2055950496, '张三5', '333333', 1, '2022-07-11 13:54:53', '0000-00-00 00:00:00', '', NULL);
INSERT INTO `stuinfo` VALUES (6, 0, 0, 0, 2055950496, '张三6', '444444', 1, '2022-07-11 13:54:53', '0000-00-00 00:00:00', '', NULL);
INSERT INTO `stuinfo` VALUES (7, 0, 0, 0, 2055950496, '张三7', 'admin', 1, '2022-07-11 13:54:53', '2022-07-12 09:47:58', '', NULL);
INSERT INTO `stuinfo` VALUES (17, 2, 23, 4, 23440101411, '李元芳', '$2y$10$uWhDW9j47qABZVnfFrrQJ.tgA/GZjVxVJCkbvCfiSqQVROgKz/CpK', 1, '2022-07-20 10:12:29', '2022-07-20 10:40:58', 'oU99F5CsQ3xdd0qmVmQxH21Xje_s', NULL);

-- ----------------------------
-- Table structure for tripreportinfo
-- ----------------------------
DROP TABLE IF EXISTS `tripreportinfo`;
CREATE TABLE `tripreportinfo`  (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键、自增',
  `uid` bigint(20) NOT NULL COMMENT '学工号',
  `stuname` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '学生名字',
  `temperature` double NOT NULL COMMENT '体温',
  `from_address` tinyint(4) NOT NULL COMMENT '1、住校 2、居家 3、外出',
  `address` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '详细所在地',
  `symptom` text CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '当前症状',
  `is_disease` tinyint(255) NOT NULL COMMENT '0、无 1、确诊 2、疑似',
  `is_covid` varchar(5) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '是/否',
  `is_higharea` tinyint(255) NOT NULL COMMENT '1、是 2、否',
  `is_touch` tinyint(255) NOT NULL COMMENT '1、是 2、否',
  `health_code` longtext CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '健康码图片地址',
  `trip_code` longtext CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '行程码图片地址',
  `create_time` datetime(0) NOT NULL COMMENT '创建时间',
  `update_time` datetime(0) NOT NULL COMMENT '修改时间',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 11 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of tripreportinfo
-- ----------------------------
INSERT INTO `tripreportinfo` VALUES (1, 2055950496, '张三', 36.6666, 3, '福建省省内', '没事', 0, '否', 0, 0, 'http://baidu.com', 'http://baidu.com', '2022-07-11 14:07:48', '2022-07-15 14:42:58');
INSERT INTO `tripreportinfo` VALUES (2, 2055950496, '张三1', 36.6, 1, '福建省龙岩市新罗区闽西职业技术学院', '无', 0, '否', 2, 2, 'http://baidu.com', 'http://baidu.com', '2022-07-11 14:08:15', '2022-07-11 14:08:15');
INSERT INTO `tripreportinfo` VALUES (3, 2055950496, '张三2', 36.6, 1, '福建省龙岩市新罗区闽西职业技术学院', '无', 0, '否', 2, 2, 'http://baidu.com', 'http://baidu.com', '2022-07-11 14:08:15', '2022-07-11 14:08:15');
INSERT INTO `tripreportinfo` VALUES (4, 1, 'zhangsan', 36.1, 1, '福建省厦门市', '无', 0, '是', 1, 1, 'xxxx', 'xxxx', '2022-07-12 15:28:30', '2022-07-12 15:28:30');
INSERT INTO `tripreportinfo` VALUES (5, 1, 'zhangsan', 36.1, 1, '福建省厦门市', '无', 0, '是', 1, 1, 'xxxx', 'xxxx', '2022-07-12 16:27:40', '2022-07-12 16:27:40');
INSERT INTO `tripreportinfo` VALUES (6, 1, 'zhangsan', 36.1, 1, '福建省厦门市', '无', 0, '是', 1, 1, 'xxxx', 'xxxx', '2022-07-12 16:28:53', '2022-07-12 16:28:53');
INSERT INTO `tripreportinfo` VALUES (7, 1, 'zhangsan', 36.1, 1, '福建省厦门市', '无', 0, '是', 1, 1, 'xxxx', 'xxxx', '2022-07-12 16:29:40', '2022-07-12 16:29:40');
INSERT INTO `tripreportinfo` VALUES (8, 123, '123123', 36.6, 1, '中国', '无', 0, '否', 2, 2, 'xxxx', 'xxxx', '2022-07-15 08:38:55', '2022-07-15 08:38:55');
INSERT INTO `tripreportinfo` VALUES (9, 23440101411, '李元芳', 11, 1, '1', 'fare', 1, '1', 1, 1, 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7oLg9B7ohXIokh2MPNFoaGV8HejMebsEvvt7aXNeYqIfrtu3boPzszM3FPGHvauTiBqgdjUkiTZoKpfIKLpGhf7v8x8Tpqm36lxjAhtAIHoBbKUU5IkH1HVc4joKTWqtD3PY2ZhYeEdc3Nzd9coLoRSkEBjBLKUb7fbPWxiYuLpqrpRVQ8vyMHnsv90Op075ufnfwVR+MQ6HluNE8h4MMJrUwlAIE2tLPLyQgAC8YIRRppKAAJpamWRlxcCEIgXjDDSVAIQSFMri7y8EIBAvGCEkaYSgECaWlnk5YUABOIFI4w0lQAE0tTKIi8vBCAQLxhhpKkEIJCmVhZ5eSEAgXjBCCNNJQCBNLWyyMsLAQjEC0YYaSoBCKSplUVeXghAIF4wwkhTCUAgTa0s8vJCAALxghFGmkoAAmlqZZGXFwIQiBeMMNJUAhBIUyuLvLwQgEC8YISRphKAQJpaWeTlhQAE4gUjjDSVAATS1MoiLy8EIBAvGGGkqQQgkKZWFnl5IQCBeMEII00lAIE0tbLIywsBCMQLRhhpKgEIpKmVRV5eCEAgXjDCSFMJQCBNrSzy8kIAAvGCEUaaSgACaWplkZcXAhCIF4ww0lQCEEhTK4u8vBCAQLxghJGmEoBAmlpZ5OWFAATiBSOMNJUABNLUyiIvLwQgEC8YYaSpBCCQplYWeXkh8D/BMPpQp5J7sgAAAABJRU5ErkJggg==', 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'2022-07-25 15:14:49', '2022-07-25 15:14:49');
INSERT INTO `tripreportinfo` VALUES (10, 23440101411, '李元芳', 111, 1, '11', 'fare', 1, '1', 2, 2, 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sY5vZGaNMtWjEtTZIb3BSpcGskc2ejVytVzU5Wq3C5/538DYLNRaBXhEjbSdLVPBYJ55GuzzJ12F7xkKSLTKggSCkt1kgiRVXUjRyJnxjFU9CulOkdbbL7RUlPVU8Ous9Eitcrst4qqqjty8qDY36jo4KCkjpKVmpDEmqxuVXCd1TC3XRdaq/Ul5t9SlHUxvTbuRM7Rnc5+TuL2j2odHHUOjktoZcZ1dJrYqN6OZnhhM7sJg1qCgrLFp1a6F93q6yKdjnuSV649i7djK8xIFN7rqbTDSJlp6dZBa6PLpptojdo7h1udy8yd9T26iNEPnh/+9x+g8dNbdaaO8WWOWGOCkmnlfUauURcqzKrgxuklLobDZ3us8rHVms1GI2R7t2d/HdwKLnSvQq1WWwur6Oape9HtRNd7VaqKvaRDeYWVT9GomUUjY6l1I1Inv4NdqphV3L+RgNNV/wDwDF20h8xtFtTFrpE5oWeShJ8DVvU7og/PVB4if/TNU0ouGkiLPabnXw1bImtkmSFjcNyqYRV1UXO9PCdK0gvcFgtUlZMqK/2MUed73ciGj3K0z0WgVZcK/K19wmZLKq8Wprbk/H8cchYkU6OVmmFziWiobpTU/SkUerFNG1F1Fb1qphi5TGPCZxtu6ICOTWvNAqZ39Yn/ANMsauGeyUlk0oo2K9rKSGKsjb/ExWphfN4DeKOrgr6SKqppEkhlbrNcnKSZHuADFWhdFOZG0dvhzvdK5+O4iJ5zeopWzQslYuWvajkXtKc70lp5NLdMXWyld1lDTvy5OCPxn89VPCbFoLdfVDR9lPKqpUUK7GRq8URPY/hu7ymUx2RsphdINF6LSNadauaoj6X1tXYuRM62M5yi8xmiyut0pbNQSVtXJqxsTcnK5eRE7ZjCuc6W6K2qw00EdJUVk1bUvRsUT3tVMcqqiNRe13zN0nQxtvSkS1VXWJOrEWRI3tRqO5cdaY/ROoXSbS6qvNemt0rHrQxcUZv3Y7iZ765MqvROs+P3Kv8Au2fqM+/hFnb9CdGLq+dlFc7hK6mfqSplG6q7+dm/gvAy9t0AtdruENbDVVj5IXazWve1Wr3cNNT0W0woLLUXKSop6mRKubaM2bWrhMrxyqc5ulh0xoNIa19JS09VG9kayKsrWomMonIq84nY8NJbpW2e+WioSdUt8sixTx4TGV4Kq8eCqveMHo5Y7bedI9IfVClbPsqpdTLlTGXvzwXtGxaYT2JLYkF6nVrdZJGRxr+0cqcyfhk1DRuvr1h0gr7SsETpJmO1qp6IkbHK/eqquMp2xHger3aOrXVVLS6HVVWtLK6N7oXvcmUVU5F3ZwedRPo/SRpJVaE1sEarjXlc9qZ7qmxaLvslhoZGzX6gnqqh+0nk6YbhV5k393wk6VT2i/2ZaOC/W6KVHo9qvqG6uU58KNjJW3Rix0c0NdR29sMyJrNcj3LjKdte2YrSC7Vjr3W2qOROlG2uSWRuqmdbDuXjzHto2zSR80ElVdrdWW9iK1Vpl1ldhMJv1U5cGLf/AKXpFpVVcWwUKwp2ut9LVJHkeehjrs+zx0VTbYa+2TxvfCr0RWsc1y9a5F3b3J+PgqraS6pRTquhFpiRI3ftGuiVW7uJdWC0UF20BoUuDJHxwLJIiMdqruc4wMaaGzs14rNe5GL/ABNTKeUX4j00YprhJZI3QaKW64R6zsVEyxo52/lzvN20dp5YYJX1FkpLVK52NWn1OvTnVW980fY6IonuFfUT6H+Y2bQ+12CViXi0QVMa5dH+3fleTO7KkkhiuiRZaKOnbd010qZJmxvXW63VwvJ3jGV9HoG23VDqOumdUpE5Ymrr7343cW85sfRL3aOw7s/6S3d3lMbdLs2W0VUfUTUU2tC5Ns6mREj3eyzq7scSx4C22Wko+h5V3GJH7eqo3pIquym5V4J3jJ6PV2jkejlGypqbY2dIsPSR8aORe3neecH/AEUL9kf+alWj+iVhq9HaOpqLex80kWs5yvdlV8IFXQ6Vq2quVmFata/GOGMIe9fdJanTCPRyeGGWgqKdXSI5q6y7ncue0h4dDljY7TXMYmGtrHoidrCHjUf9LNJ9lXyXk+I9Wv0V0Tp5LLX1CypI7bLHPE6RuFXduRFTkPL1d6Hvyei/3Bf0llf6m2UnRGimuzY3UiUvXJJFtEzh2N2F5Sq9XrQmezVcVDFSJUvickStolautjdhdXcXQyV5oLBU6H1dxt1vpEa6BzopW06MVMbspuynAvtCWo7Q2gavBWPRfHcYun/6J1+yyeUpldB/edb/AKL/AC3EnwPPqA0Z+bl+/k/Uavppo/ZbVFSUlsolbW1UmG/tXuw3uKvOqHSlXCZU0O1f/iXog1FwXrqW3Jqx82U3J+OV7wiZG42qgbbLVTUTd6Qxo1V515V8OTyk0esssjpJLVRve9Vc5zoGqqqvFeBd1kMlRRzQwzLDJIxWtkTixVTiap1IaQ/9sKrxHfqJCo03slqo9FaqemttLDK1WYfHE1qp16cqIX9gsFmnsFDLLa6SSR8DVc50LVVVxxVcGq6XWW6WmzLJW6ST1jJHoxIHtVEcvHsl4YyXGjdivF1skFTS6VVEEe9uxRHLs8Lw9l3PCZfDyjdoLFaKWZs1PbKSKRi5a9kLUVO4uC8kVWxOVOKIuDUk0R0gRyKul9UqJyajv1G1vRW0ytVdZUZhV59xirnthfplpDRvqqa+xxMZIrFSRiZzhF5G9stNL7dpLSWyJ13u8VVC6ZEaxiYXWwuF9ihsHQy978/2l35IY7TSon0hvVPY7U1JpKbMki53I5E4Z7SfmZR5Rd09k046Wi1NIKdrdRNVqt4Jjh7AWStv9Npk20XW5JVN2KvVGNRG8N3IimX0Y0njvLHUdUzpa4wdbLCqYzjlT0GMb/0q/wD7XzKQbbV09JPFmsghlYzrv2rEcje3vNGtNtpNKdKJbg2igZaqJdSNjYkRszudUxv5/AbVpJaqu82l1FSVfSznuTXcqbnN5UU0i+WS76LWOJYtIJtltUYkULVjRM535Rd4glsSTUMGlq2ess1BFDNHrUsqQNy9eVF3d3/lTwvCI3oiWZrURESJyIicnE8JdAZHw09bS3apkr2Kx7X1D8tTgq8iqe121k6Idl11RXbJcqnDO8Caf/pSn+y+Y2+RY1arJFbhyYVHcqGoU/8A0pT/AGXzGS0h0RoNIJ2VNVNUMfExWokTmon4ookW9s0VmtddcHUFx2VHVMVI4mplY3Ly55MchrOklsv+jtJBO7Sesn20qR6qSPbjcq59kvMZzobRpFbK6NqqqMqVame0h5dExXvobfDH7N1TlvdwvpLHkeEXQ+uqVC1rdJZWVMiddKjXa67uVdbJf0WiV9pq2GebSmqnjjejnRuV+Hoi8PZHglB0Q0THqtReK39B76GXa811yuNJdqps7qVUb1rGoiLnfwRBOxldIL3bKGkqKWqrY4p3QqrY1XeuUXBh+h9daBbHDbumWdN6z12P8WOP5GY0gsdsr6SoqqqjjlnbCqNkXOUwi4NY0Y0f6c0SZVW1zKS5Oe5EqlTKo3OFTwZ4EjWh7aIV9Hb57/JWVMUDem13yPRM73cOcxWjelaWx1fDR2+evnqah0kTY0wmMrx4r+BXohovQXSrubrnr1T6WbUTL1RHrl2VXlXhzma6HsUcEV2SNiNRtUrUwnImcIWdC70Q0huN9qrg2vijh6Wc1qRMbjVXfnKry7hp9eEttgfAx+J6v9m3HFE/iXwfmWugSa9ZfZ+SSrXHhd6TAaY2+519VcrnXMdDT0Stjp28j8qm9PDle8hNdxl10Xsq6J2+pulVUU8UEOu58K8Vfhd6aqrzIYf1O6H3z7X+Kv8A9M3Vkr4dDaWSO3+qDkpo8U/Z7k7S/kYH1Vrf/wAvU8VP0CBiEtvQ+ThfK5P5V/8Apm16LaOWWiVt1tNXVVDJWK1qyuTCpnfu1UXkMX6q1v8A+XqeKn6DbbNK+a1wySW/1Pcuc0/Yb+4nd4CRhuiH70aj6cflIa5R07VooF6gFnzG39rt8a+72XDl4mx9EP3o1H02eUhhaFk/SFPjog08CbJv7JUjyzcnW+z5OBY8CjpZv/5dL/vH+BjrlEkdfbcaMLZ81Df2m01tftcDN6lR/wDmPTeCP9Zibw2RK62rJpRFeP8ASW/s2avWdvc5RA6gADBQAAClxUUO4glBBKkBijlQ9Shu9yHoFgAAUAPGR+etaEmdEkmetQ8l4EkKRhM7QAVxxq9crwAiONXrleBcoiImECJhMISVnEaDwqvYp3T3PCq9indCW8LYhSSOQjU9aX2xe4XhZ0vti9wvCttfAWtRT5y9ib+VC6AWY2xakF3UU+cvYm/lQtCNMxoK4ZlhdztXih5kEY70yrHte1HNXKKVGNhnWF3O1eKGQa5HtRycFMm+ttrau/g7/mLVC6rvg+/5i1QyhVSFSFKFSFEkkISQSAABBJAEEKSQpRSpCkqQoFzQ/Cd7zl2WlD8J3vOXZjPlQAEAAAAABpnRQ97dP9sb5DzXmr0P0amfVDOP9o2Z1bp9rKiWq2K3O7Lv85HTmn3zTa/G/wA5lCNb1uh9/wCIf8ReaBdI9WFx9Tdp0p0v+z2nssazePfyZjpzT75ptfjf5x07p/yWm2eN/nKNvNMvsjIuiPZpJHoxjKd6uc5cIiYfvU2m2vrZLfC+4xxxVSp+0ZH7FFzyb1/M1PSXRm4aR6WwI9mxt8UCIs7XZVUyuUxz78dzf2jGPKrbS+4WyuuWjldI9ktvfJI57nNVWq1HNRcp3i00rrdEZ7FKy0MpEq1c3V2UCsdjO/fhOQ3ltgtDaSCkdbqaSGnRUibJGj9XPHjz8pi79b6C10TKih0VpLg9ZEa6KOnajkTC79zV5k8JYlGO07fq6DUbezfEn/Cq+Y2SrudLY7K2rrH6sccbUwiZVy43InbNLur79ph0pbU0fmttLHKjnOlRURMJjlRNyIq7kOgVFJT1dM6mqYWSwuTCs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', '2022-07-25 15:15:42', '2022-07-25 15:15:42');

SET FOREIGN_KEY_CHECKS = 1;