/*
 Navicat Premium Data Transfer

 Source Server         : localhost_mysql-8.0
 Source Server Type    : MySQL
 Source Server Version : 80023
 Source Host           : localhost:3306
 Source Schema         : pandax_iot

 Target Server Type    : MySQL
 Target Server Version : 80023
 File Encoding         : 65001

 Date: 05/10/2023 14:25:38
*/

SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for casbin_rule
-- ----------------------------
DROP TABLE IF EXISTS `casbin_rule`;
CREATE TABLE `casbin_rule`  (
  `ptype` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `v0` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `v1` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `v2` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `v3` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `v4` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `v5` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `id` int(0) NOT NULL AUTO_INCREMENT,
  PRIMARY KEY (`id`) USING BTREE,
  UNIQUE INDEX `idx_casbin_rule`(`ptype`, `v0`, `v1`, `v2`, `v3`, `v4`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 10162 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of casbin_rule
-- ----------------------------
INSERT INTO `casbin_rule` VALUES ('p', 'test', '/system/api/list', 'GET', '', '', '', 8679);
INSERT INTO `casbin_rule` VALUES ('p', 'test', '/system/api/all', 'GET', '', '', '', 8680);
INSERT INTO `casbin_rule` VALUES ('p', 'test', '/system/api/getPolicyPathByRoleId', 'GET', '', '', '', 8681);
INSERT INTO `casbin_rule` VALUES ('p', 'test', '/system/api/:id', 'GET', '', '', '', 8682);
INSERT INTO `casbin_rule` VALUES ('p', 'test', '/system/api', 'POST', '', '', '', 8683);
INSERT INTO `casbin_rule` VALUES ('p', 'test', '/system/api', 'PUT', '', '', '', 8684);
INSERT INTO `casbin_rule` VALUES ('p', 'test', '/system/api/:id', 'DELETE', '', '', '', 8685);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/api/list', 'GET', '', '', '', 9547);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/api/all', 'GET', '', '', '', 9548);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/api/getPolicyPathByRoleId', 'GET', '', '', '', 9549);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/api/:id', 'GET', '', '', '', 9550);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/config/list', 'GET', '', '', '', 9551);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/config/configKey', 'GET', '', '', '', 9552);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/config/:configId', 'GET', '', '', '', 9553);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/list', 'GET', '', '', '', 9554);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/list/all', 'GET', '', '', '', 9555);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/list/tree', 'GET', '', '', '', 9556);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/:id', 'GET', '', '', '', 9557);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/list', 'GET', '', '', '', 9558);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/:id', 'GET', '', '', '', 9559);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/list/tree/label', 'GET', '', '', '', 9560);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/list/all', 'GET', '', '', '', 9561);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/:id/status', 'GET', '', '', '', 9562);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/alarm/list', 'GET', '', '', '', 9563);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/cmd/list', 'GET', '', '', '', 9564);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/:id/property/history', 'GET', '', '', '', 9565);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/type/list', 'GET', '', '', '', 9566);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/type/:dictId', 'GET', '', '', '', 9567);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/data/list', 'GET', '', '', '', 9568);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/data/type', 'GET', '', '', '', 9569);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/data/:dictCode', 'GET', '', '', '', 9570);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/db/list', 'GET', '', '', '', 9571);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/list', 'GET', '', '', '', 9572);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/info/:tableId', 'GET', '', '', '', 9573);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/info/tableName', 'GET', '', '', '', 9574);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/tableTree', 'GET', '', '', '', 9575);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/gen/preview/:tableId', 'GET', '', '', '', 9576);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/job/list', 'GET', '', '', '', 9577);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/job/:jobId', 'GET', '', '', '', 9578);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/log/logLogin/list', 'GET', '', '', '', 9579);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/log/logOper/list', 'GET', '', '', '', 9580);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/menuTreeSelect', 'GET', '', '', '', 9581);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/menuRole', 'GET', '', '', '', 9582);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/roleMenuTreeSelect/:roleId', 'GET', '', '', '', 9583);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/menuPaths', 'GET', '', '', '', 9584);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/list', 'GET', '', '', '', 9585);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/:menuId', 'GET', '', '', '', 9586);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/notice/list', 'GET', '', '', '', 9587);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/organization/list', 'GET', '', '', '', 9588);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/organization/:organizationId', 'GET', '', '', '', 9589);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/organization/roleOrganizationTreeSelect/:roleId', 'GET', '', '', '', 9590);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/organization/organizationTree', 'GET', '', '', '', 9591);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/ota/list', 'GET', '', '', '', 9592);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/ota/:id', 'GET', '', '', '', 9593);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/post/list', 'GET', '', '', '', 9594);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/post/:postId', 'GET', '', '', '', 9595);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/list', 'GET', '', '', '', 9596);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/list/all', 'GET', '', '', '', 9597);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/list/tree', 'GET', '', '', '', 9598);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/:id', 'GET', '', '', '', 9599);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/:id', 'GET', '', '', '', 9600);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/list', 'GET', '', '', '', 9601);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/list/tree/label', 'GET', '', '', '', 9602);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/list/all', 'GET', '', '', '', 9603);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/role/list', 'GET', '', '', '', 9604);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/role/:roleId', 'GET', '', '', '', 9605);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/rule/chain/list', 'GET', '', '', '', 9606);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/rule/chain/:ruleId', 'GET', '', '', '', 9607);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/rule/chain/list/label', 'GET', '', '', '', 9608);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/rule/chain/log/list', 'GET', '', '', '', 9609);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/:screenId', 'GET', '', '', '', 9610);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/list', 'GET', '', '', '', 9611);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/group/list', 'GET', '', '', '', 9612);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/group/list/tree', 'GET', '', '', '', 9613);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/group/list/all', 'GET', '', '', '', 9614);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/group/:id', 'GET', '', '', '', 9615);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/template/list', 'GET', '', '', '', 9616);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/template/:id', 'GET', '', '', '', 9617);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/template/list/all', 'GET', '', '', '', 9618);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/user/list', 'GET', '', '', '', 9619);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/user/getById/:userId', 'GET', '', '', '', 9620);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/user/getInit', 'GET', '', '', '', 9621);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/user/getRoPo', 'GET', '', '', '', 9622);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/device/list', 'GET', '', '', '', 9623);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/:deviceSerial/channel', 'GET', '', '', '', 9624);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/:deviceSerial/channel/live', 'GET', '', '', '', 9625);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/:deviceSerial/ptz/start', 'GET', '', '', '', 9626);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/:deviceSerial/ptz/stop', 'GET', '', '', '', 9627);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/list', 'GET', '', '', '', 9983);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/all', 'GET', '', '', '', 9984);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/getPolicyPathByRoleId', 'GET', '', '', '', 9985);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/:id', 'GET', '', '', '', 9986);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api', 'POST', '', '', '', 9987);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api', 'PUT', '', '', '', 9988);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/:id', 'DELETE', '', '', '', 9989);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config/list', 'GET', '', '', '', 9990);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config/configKey', 'GET', '', '', '', 9991);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config/:configId', 'GET', '', '', '', 9992);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config', 'POST', '', '', '', 9993);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config', 'PUT', '', '', '', 9994);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config/:configId', 'DELETE', '', '', '', 9995);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/list', 'GET', '', '', '', 9996);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/list/all', 'GET', '', '', '', 9997);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/list/tree', 'GET', '', '', '', 9998);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/:id', 'GET', '', '', '', 9999);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group', 'POST', '', '', '', 10000);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group', 'PUT', '', '', '', 10001);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/:id', 'DELETE', '', '', '', 10002);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/list', 'GET', '', '', '', 10003);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id', 'GET', '', '', '', 10004);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device', 'POST', '', '', '', 10005);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id', 'DELETE', '', '', '', 10006);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device', 'PUT', '', '', '', 10007);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/list/tree/label', 'GET', '', '', '', 10008);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/list/all', 'GET', '', '', '', 10009);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id/status', 'GET', '', '', '', 10010);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/alarm/list', 'GET', '', '', '', 10011);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/alarm', 'PUT', '', '', '', 10012);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/alarm/:id', 'DELETE', '', '', '', 10013);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/cmd/list', 'GET', '', '', '', 10014);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/cmd', 'POST', '', '', '', 10015);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/cmd/:id', 'DELETE', '', '', '', 10016);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id/attribute/down', 'GET', '', '', '', 10017);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id/property/history', 'GET', '', '', '', 10018);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id/allot/org', 'GET', '', '', '', 10019);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/panel', 'GET', '', '', '', 10020);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/alarm/panel', 'GET', '', '', '', 10021);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type/list', 'GET', '', '', '', 10022);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type/:dictId', 'GET', '', '', '', 10023);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type', 'POST', '', '', '', 10024);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type', 'PUT', '', '', '', 10025);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type/:dictId', 'DELETE', '', '', '', 10026);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type/export', 'GET', '', '', '', 10027);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data/list', 'GET', '', '', '', 10028);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data/type', 'GET', '', '', '', 10029);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data/:dictCode', 'GET', '', '', '', 10030);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data', 'POST', '', '', '', 10031);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data', 'PUT', '', '', '', 10032);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data/:dictCode', 'DELETE', '', '', '', 10033);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/db/list', 'GET', '', '', '', 10034);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/list', 'GET', '', '', '', 10035);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/info/:tableId', 'GET', '', '', '', 10036);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/info/tableName', 'GET', '', '', '', 10037);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/tableTree', 'GET', '', '', '', 10038);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table', 'POST', '', '', '', 10039);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table', 'PUT', '', '', '', 10040);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/:tableId', 'DELETE', '', '', '', 10041);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/gen/preview/:tableId', 'GET', '', '', '', 10042);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/gen/code/:tableId', 'GET', '', '', '', 10043);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/gen/configure/:tableId', 'GET', '', '', '', 10044);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/list', 'GET', '', '', '', 10045);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job', 'POST', '', '', '', 10046);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job', 'PUT', '', '', '', 10047);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/:jobId', 'GET', '', '', '', 10048);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/:jobId', 'DELETE', '', '', '', 10049);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/stop/:jobId', 'GET', '', '', '', 10050);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/start/:jobId', 'GET', '', '', '', 10051);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/log/list', 'GET', '', '', '', 10052);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/log/all', 'DELETE', '', '', '', 10053);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/log/:logId', 'DELETE', '', '', '', 10054);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/changeStatus', 'PUT', '', '', '', 10055);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logLogin/list', 'GET', '', '', '', 10056);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logLogin/:infoId', 'DELETE', '', '', '', 10057);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logLogin/all', 'DELETE', '', '', '', 10058);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logOper/list', 'GET', '', '', '', 10059);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logOper/:operId', 'DELETE', '', '', '', 10060);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logOper/all', 'DELETE', '', '', '', 10061);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/menuTreeSelect', 'GET', '', '', '', 10062);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/menuRole', 'GET', '', '', '', 10063);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/roleMenuTreeSelect/:roleId', 'GET', '', '', '', 10064);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/menuPaths', 'GET', '', '', '', 10065);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/list', 'GET', '', '', '', 10066);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/:menuId', 'GET', '', '', '', 10067);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu', 'POST', '', '', '', 10068);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu', 'PUT', '', '', '', 10069);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/:menuId', 'DELETE', '', '', '', 10070);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/notice/list', 'GET', '', '', '', 10071);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/notice', 'POST', '', '', '', 10072);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/notice', 'PUT', '', '', '', 10073);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/notice/:noticeId', 'DELETE', '', '', '', 10074);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/list', 'GET', '', '', '', 10075);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/:organizationId', 'GET', '', '', '', 10076);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/roleOrganizationTreeSelect/:roleId', 'GET', '', '', '', 10077);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/organizationTree', 'GET', '', '', '', 10078);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization', 'POST', '', '', '', 10079);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization', 'PUT', '', '', '', 10080);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/:organizationId', 'DELETE', '', '', '', 10081);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota/list', 'GET', '', '', '', 10082);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota', 'POST', '', '', '', 10083);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota', 'PUT', '', '', '', 10084);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota/:id', 'DELETE', '', '', '', 10085);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota/:id', 'GET', '', '', '', 10086);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post/list', 'GET', '', '', '', 10087);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post/:postId', 'GET', '', '', '', 10088);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post', 'POST', '', '', '', 10089);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post', 'PUT', '', '', '', 10090);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post/:postId', 'DELETE', '', '', '', 10091);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/list', 'GET', '', '', '', 10092);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/list/all', 'GET', '', '', '', 10093);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/list/tree', 'GET', '', '', '', 10094);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/:id', 'GET', '', '', '', 10095);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category', 'POST', '', '', '', 10096);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category', 'PUT', '', '', '', 10097);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/:id', 'DELETE', '', '', '', 10098);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/:id', 'DELETE', '', '', '', 10099);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/:id', 'GET', '', '', '', 10100);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product', 'PUT', '', '', '', 10101);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/list', 'GET', '', '', '', 10102);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product', 'POST', '', '', '', 10103);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/list/tree/label', 'GET', '', '', '', 10104);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/list/all', 'GET', '', '', '', 10105);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/:id/tsl', 'GET', '', '', '', 10106);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/list', 'GET', '', '', '', 10107);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/:roleId', 'GET', '', '', '', 10108);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role', 'POST', '', '', '', 10109);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role', 'PUT', '', '', '', 10110);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/:roleId', 'DELETE', '', '', '', 10111);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/changeStatus', 'PUT', '', '', '', 10112);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/dataScope', 'PUT', '', '', '', 10113);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/export', 'GET', '', '', '', 10114);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/changeRoot', 'PUT', '', '', '', 10115);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/list', 'GET', '', '', '', 10116);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/:ruleId', 'DELETE', '', '', '', 10117);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain', 'PUT', '', '', '', 10118);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain', 'POST', '', '', '', 10119);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/:ruleId', 'GET', '', '', '', 10120);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/list/label', 'GET', '', '', '', 10121);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/clone/:ruleId', 'POST', '', '', '', 10122);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/log/list', 'GET', '', '', '', 10123);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/log/delete', 'GET', '', '', '', 10124);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen', 'PUT', '', '', '', 10125);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/:screenId', 'GET', '', '', '', 10126);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/list', 'GET', '', '', '', 10127);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/:screenId', 'DELETE', '', '', '', 10128);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen', 'POST', '', '', '', 10129);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/changeStatus', 'PUT', '', '', '', 10130);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/list', 'GET', '', '', '', 10131);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/list/tree', 'GET', '', '', '', 10132);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/list/all', 'GET', '', '', '', 10133);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/:id', 'GET', '', '', '', 10134);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group', 'POST', '', '', '', 10135);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group', 'PUT', '', '', '', 10136);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/:id', 'DELETE', '', '', '', 10137);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template/list', 'GET', '', '', '', 10138);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template', 'PUT', '', '', '', 10139);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template/:id', 'GET', '', '', '', 10140);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template/:id', 'DELETE', '', '', '', 10141);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template', 'POST', '', '', '', 10142);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template/list/all', 'GET', '', '', '', 10143);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/upload/up/oss', 'POST', '', '', '', 10144);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/upload/up', 'POST', '', '', '', 10145);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/list', 'GET', '', '', '', 10146);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/changeStatus', 'PUT', '', '', '', 10147);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/:userId', 'DELETE', '', '', '', 10148);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/avatar', 'POST', '', '', '', 10149);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/pwd', 'PUT', '', '', '', 10150);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/getById/:userId', 'GET', '', '', '', 10151);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/getInit', 'GET', '', '', '', 10152);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/getRoPo', 'GET', '', '', '', 10153);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user', 'POST', '', '', '', 10154);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user', 'PUT', '', '', '', 10155);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/export', 'GET', '', '', '', 10156);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/device/list', 'GET', '', '', '', 10157);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/:deviceSerial/channel', 'GET', '', '', '', 10158);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/:deviceSerial/channel/live', 'GET', '', '', '', 10159);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/:deviceSerial/ptz/start', 'GET', '', '', '', 10160);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/:deviceSerial/ptz/stop', 'GET', '', '', '', 10161);

-- ----------------------------
-- Table structure for demo_new_trend_of_diagnosis
-- ----------------------------
DROP TABLE IF EXISTS `demo_new_trend_of_diagnosis`;
CREATE TABLE `demo_new_trend_of_diagnosis`  (
  `date` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '日期',
  `new_diagnosis` bigint(0) NULL DEFAULT NULL COMMENT '新增确诊',
  `current_diagnosis` bigint(0) NULL DEFAULT NULL COMMENT '现有确诊'
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of demo_new_trend_of_diagnosis
-- ----------------------------
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-10', 33, 505);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-11', 28, 506);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-12', 32, 512);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-13', 35, 523);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-14', 49, 542);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-15', 206, 727);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-16', 236, 935);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-17', 358, 1262);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-18', 258, 1497);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-19', 286, 1759);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-20', 317, 2097);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-21', 325, 2365);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-22', 743, 3098);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-23', 480, 3561);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-24', 612, 4143);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-25', 554, 4675);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-26', 655, 5036);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-27', 677, 5948);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-28', 570, 6480);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-29', 503, 6951);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-30', 381, 7303);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-5-31', 378, 7652);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-6-1', 362, 7983);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-6-2', 571, 8535);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-6-3', 610, 9110);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-6-4', 497, 9674);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-6-5', 541, 10049);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-6-6', 368, 10372);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-6-7', 233, 10552);
INSERT INTO `demo_new_trend_of_diagnosis` VALUES ('2021-6-8', 232, 10740);

-- ----------------------------
-- Table structure for dev_gen_table_columns
-- ----------------------------
DROP TABLE IF EXISTS `dev_gen_table_columns`;
CREATE TABLE `dev_gen_table_columns`  (
  `column_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `table_id` bigint(0) NULL DEFAULT NULL,
  `table_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `column_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `column_comment` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `column_type` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `column_key` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `go_type` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `go_field` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `json_field` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `html_field` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `is_pk` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `is_increment` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `is_required` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `is_insert` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `is_edit` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `is_list` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `is_query` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `query_type` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `html_type` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `dict_type` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `sort` bigint(0) NULL DEFAULT NULL,
  `link_table_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `link_table_class` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `link_table_package` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `link_label_id` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `link_label_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  PRIMARY KEY (`column_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 138 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

-- ----------------------------
-- Records of dev_gen_table_columns
-- ----------------------------
INSERT INTO `dev_gen_table_columns` VALUES (1, 1, '', 'log_id', '', 'bigint(20)', '', 'int64', 'LogId', 'logId', '', '1', '', '0', '1', '0', '1', '1', 'EQ', 'input', '', 1, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (2, 1, '', 'name', '任务名称', 'varchar(128)', '', 'string', 'Name', 'name', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 2, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (3, 1, '', 'job_group', '分组', 'varchar(128)', '', 'string', 'JobGroup', 'jobGroup', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 3, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (4, 1, '', 'entry_id', '任务id', 'int(11)', '', 'int', 'EntryId', 'entryId', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (5, 1, '', 'invoke_target', '调用方法', 'varchar(128)', '', 'string', 'InvokeTarget', 'invokeTarget', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (6, 1, '', 'log_info', '日志信息', 'varchar(255)', '', 'string', 'LogInfo', 'logInfo', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (7, 1, '', 'status', '状态', 'varchar(1)', '', 'string', 'Status', 'status', '', '0', '', '1', '1', '1', '1', '1', 'EQ', 'radio', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (8, 1, '', 'create_time', '', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 8, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (9, 1, '', 'update_time', '', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 9, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (10, 1, '', 'delete_time', '', 'datetime', '', 'Time', 'DeleteTime', 'deleteTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 10, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (27, 3, '', 'delete_time', '', 'datetime', '', 'Time', 'DeleteTime', 'deleteTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 13, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (28, 4, '', 'config_value', 'ConfigValue', 'varchar(255)', '', 'string', 'ConfigValue', 'configValue', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (29, 3, '', 'business_type', '0其它 1新增 2修改 3删除', 'varchar(1)', '', 'string', 'BusinessType', 'businessType', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'select', '', 3, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (30, 4, '', 'config_type', '是否系统内置0，1', 'varchar(64)', '', 'string', 'ConfigType', 'configType', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'select', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (31, 3, '', 'method', '请求方法', 'varchar(255)', '', 'string', 'Method', 'method', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (32, 4, '', 'is_frontend', '是否前台', 'varchar(1)', '', 'string', 'IsFrontend', 'isFrontend', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (33, 3, '', 'oper_name', '操作人员', 'varchar(255)', '', 'string', 'OperName', 'operName', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (34, 4, '', 'remark', 'Remark', 'varchar(128)', '', 'string', 'Remark', 'remark', '', '0', '', '0', '1', '1', '1', '0', 'EQ', 'input', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (35, 3, '', 'oper_url', '操作url', 'varchar(255)', '', 'string', 'OperUrl', 'operUrl', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (36, 4, '', 'create_time', '', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 8, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (37, 3, '', 'oper_ip', '操作IP', 'varchar(255)', '', 'string', 'OperIp', 'operIp', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (38, 4, '', 'update_time', '', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 9, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (39, 3, '', 'create_time', '', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 11, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (40, 3, '', 'update_time', '', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 12, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (41, 3, '', 'status', '0=正常,1=异常', 'varchar(1)', '', 'string', 'Status', 'status', '', '0', '', '1', '1', '1', '1', '1', 'EQ', 'radio', '', 10, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (42, 3, '', 'oper_id', '', 'bigint(20)', '', 'int64', 'OperId', 'operId', '', '1', '', '0', '1', '0', '1', '1', 'EQ', 'input', '', 1, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (43, 5, '', 'delete_time', '', 'datetime', '', 'Time', 'DeleteTime', 'deleteTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 14, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (44, 5, '', 'category', '', 'varchar(191)', '', 'string', 'Category', 'category', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 2, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (45, 5, '', 'app_id', 'AppId', 'varchar(128)', '', 'string', 'AppId', 'appId', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 3, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (46, 5, '', 'access_key', 'accessKey', 'varchar(128)', '', 'string', 'AccessKey', 'accessKey', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (47, 5, '', 'secret_key', 'secretKey', 'varchar(128)', '', 'string', 'SecretKey', 'secretKey', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (48, 5, '', 'bucket_name', 'bucketName', 'varchar(128)', '', 'string', 'BucketName', 'bucketName', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (49, 5, '', 'endpoint', 'endpoint', 'varchar(128)', '', 'string', 'Endpoint', 'endpoint', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (50, 5, '', 'oss_code', 'ossCode', 'varchar(128)', '', 'string', 'OssCode', 'ossCode', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 8, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (51, 5, '', 'region', '地址', 'varchar(128)', '', 'string', 'Region', 'region', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 9, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (52, 5, '', 'remark', '说明', 'varchar(128)', '', 'string', 'Remark', 'remark', '', '0', '', '0', '1', '1', '1', '0', 'EQ', 'input', '', 10, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (53, 5, '', 'update_time', '', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 13, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (54, 5, '', 'status', '状态', 'varchar(1)', '', 'string', 'Status', 'status', '', '0', '', '1', '1', '1', '1', '1', 'EQ', 'radio', '', 11, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (55, 5, '', 'create_time', '', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 12, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (56, 5, '', 'oss_id', '主键编码', 'bigint(20)', '', 'int64', 'OssId', 'ossId', '', '1', '1', '0', '1', '0', '1', '1', 'EQ', 'input', '', 1, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (57, 6, '', 'app_id', 'AppId', 'varchar(128)', '', 'string', 'AppId', 'appId', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 3, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (58, 6, '', 'category', '', 'varchar(191)', '', 'string', 'Category', 'category', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 2, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (59, 6, '', 'endpoint', 'endpoint', 'varchar(128)', '', 'string', 'Endpoint', 'endpoint', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (60, 6, '', 'access_key', 'accessKey', 'varchar(128)', '', 'string', 'AccessKey', 'accessKey', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (61, 6, '', 'secret_key', 'secretKey', 'varchar(128)', '', 'string', 'SecretKey', 'secretKey', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (62, 6, '', 'bucket_name', 'bucketName', 'varchar(128)', '', 'string', 'BucketName', 'bucketName', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (63, 6, '', 'remark', '说明', 'varchar(128)', '', 'string', 'Remark', 'remark', '', '0', '', '0', '1', '1', '1', '0', 'EQ', 'input', '', 10, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (64, 6, '', 'oss_code', 'ossCode', 'varchar(128)', '', 'string', 'OssCode', 'ossCode', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 8, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (65, 6, '', 'region', '地址', 'varchar(128)', '', 'string', 'Region', 'region', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 9, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (66, 6, '', 'create_time', '', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 12, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (67, 6, '', 'delete_time', '', 'datetime', '', 'Time', 'DeleteTime', 'deleteTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 14, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (68, 6, '', 'status', '状态', 'varchar(1)', '', 'string', 'Status', 'status', '', '0', '', '1', '1', '1', '1', '1', 'EQ', 'radio', '', 11, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (69, 6, '', 'update_time', '', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 13, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (70, 6, '', 'oss_id', '主键编码', 'bigint(20)', '', 'int64', 'OssId', 'ossId', '', '1', '1', '0', '1', '0', '1', '1', 'EQ', 'input', '', 1, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (71, 7, '', 'delete_time', '', 'datetime', '', 'Time', 'DeleteTime', 'deleteTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 10, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (72, 7, '', 'host', '主机', 'varchar(191)', '', 'string', 'Host', 'host', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 2, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (73, 7, '', 'secret', '密码', 'varchar(191)', '', 'string', 'Secret', 'secret', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (74, 7, '', 'update_time', '', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 9, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (75, 7, '', 'from', '发件人', 'varchar(191)', '', 'string', 'From', 'from', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (76, 7, '', 'is_ssl', '开启ssl', 'tinyint(1)', '', 'int', 'IsSsl', 'isSsl', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (77, 7, '', 'mail_id', '主键编码', 'bigint(20)', 'Json', 'int64', 'MailId', 'mailId', '', '1', '1', '0', '1', '0', '1', '1', 'EQ', 'input', '', 1, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (82, 9, '', 'expire_time', '过期时间', 'datetime', '', 'Time', 'ExpireTime', 'expireTime', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'datetime', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (83, 9, '', 'delete_time', 'DeleteTime', 'datetime', '', 'Time', 'DeleteTime', 'deleteTime', '', '0', '', '0', '0', '0', '0', '0', 'EQ', 'datetime', '', 3, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (84, 9, '', 'create_time', 'CreateTime', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '0', '0', '1', '0', 'EQ', 'datetime', '', 1, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (85, 9, '', 'update_time', 'UpdateTime', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '0', '0', '0', '0', 'EQ', 'datetime', '', 2, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (86, 9, '', 'tenant_name', '租户名', 'varchar(255)', '', 'string', 'TenantName', 'tenantName', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (87, 9, '', 'remark', '备注', 'varchar(255)', '', 'string', 'Remark', 'remark', '', '0', '', '0', '1', '1', '1', '0', 'EQ', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (88, 9, '', 'id', 'Id', 'bigint(20)', '', 'int64', 'Id', 'id', '', '1', '1', '0', '0', '0', '1', '1', 'EQ', 'input', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (89, 10, '', 'status', '状态', 'varchar(1)', '', 'string', 'Status', 'status', '', '0', '', '1', '1', '1', '1', '1', 'EQ', 'radio', 'sys_normal_disable', 16, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (90, 10, '', 'product_category_name', '产品类型名称', 'varchar(64)', '', 'string', 'ProductCategoryName', 'productCategoryName', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 10, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (91, 10, '', 'device_type', '设备类型', 'varchar(64)', '', 'string', 'DeviceType', 'deviceType', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'select', '', 12, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (92, 10, '', 'id', 'Id', 'varchar(191)', '', 'string', 'Id', 'id', '', '1', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 1, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (93, 10, '', 'rule_chain_id', '规则链Id', 'varchar(64)', '', 'string', 'RuleChainId', 'ruleChainId', '', '0', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 15, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (94, 10, '', 'product_category_id', '产品类型Id', 'varchar(191)', '', 'string', 'ProductCategoryId', 'productCategoryId', '', '0', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 9, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (95, 10, '', 'create_time', 'CreateTime', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '0', '0', '1', '0', 'EQ', 'datetime', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (96, 10, '', 'owner', '创建者,所有者', 'varchar(64)', '', 'string', 'Owner', 'owner', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 2, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (97, 10, '', 'protocol_name', '协议名称', 'varchar(64)', '', 'string', 'ProtocolName', 'protocolName', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 11, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (98, 10, '', 'description', '产品说明', 'varchar(255)', '', 'string', 'Description', 'description', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 8, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (99, 10, '', 'name', '产品名称', 'varchar(128)', '', 'string', 'Name', 'name', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (100, 10, '', 'photo_url', '图片地址', 'varchar(255)', '', 'string', 'PhotoUrl', 'photoUrl', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (101, 10, '', 'org_id', '机构ID', 'varchar(64)', '', 'string', 'OrgId', 'orgId', '', '0', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 3, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (102, 10, '', 'update_time', 'UpdateTime', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '0', '0', '0', '0', 'EQ', 'datetime', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (103, 10, '', 'direct_connection', '是否直连', 'tinyint(1)', '', '', 'DirectConnection', 'directConnection', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 13, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (104, 10, '', 'self_learn', '自学习开关', 'tinyint(1)', '', '', 'SelfLearn', 'selfLearn', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 14, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (105, 11, '', 'update_time', 'UpdateTime', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '0', '0', '0', '0', 'EQ', 'datetime', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (106, 11, '', 'alias', '设备别名', 'varchar(128)', '', 'string', 'Alias', 'alias', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 8, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (107, 11, '', 'ext', '拓展', 'json', '', '', 'Ext', 'ext', '', '0', '', '0', '1', '1', '1', '1', 'EQ', '', '', 14, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (108, 11, '', 'id', 'Id', 'varchar(191)', '', 'string', 'Id', 'id', '', '1', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 1, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (109, 11, '', 'token', '设备token', 'varchar(128)', '', 'string', 'Token', 'token', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (110, 11, '', 'gid', '分组Id', 'varchar(191)', '', 'string', 'Gid', 'gid', '', '0', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 10, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (111, 11, '', 'ota_version', '固件版本', 'varchar(64)', '', 'string', 'OtaVersion', 'otaVersion', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 13, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (112, 11, '', 'org_id', '机构ID', 'varchar(64)', '', 'string', 'OrgId', 'orgId', '', '0', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 3, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (113, 11, '', 'name', '设备名称', 'varchar(128)', '', 'string', 'Name', 'name', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (114, 11, '', 'owner', '创建者,所有者', 'varchar(64)', '', 'string', 'Owner', 'owner', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 2, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (115, 11, '', 'description', '产品说明', 'varchar(255)', '', 'string', 'Description', 'description', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 11, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (116, 11, '', 'status', '状态', 'varchar(1)', '', 'string', 'Status', 'status', '', '0', '', '1', '1', '1', '1', '1', 'EQ', 'radio', 'sys_normal_disable', 12, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (117, 11, '', 'pid', '产品Id', 'varchar(191)', '', 'string', 'Pid', 'pid', '', '0', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 9, 'products', 'Product', 'product', 'id', 'Id', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (118, 11, '', 'create_time', 'CreateTime', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '0', '0', '1', '0', 'EQ', 'datetime', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (119, 13, '', 'description', '说明', 'varchar(255)', '', 'string', 'Description', 'description', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 9, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (120, 12, '', 'define', '数据约束', 'json', '', '', 'Define', 'define', '', '0', '', '0', '1', '1', '1', '1', 'EQ', '', '', 11, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (121, 13, '', 'pid', '产品Id', 'varchar(191)', '', 'string', 'Pid', 'pid', '', '0', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (122, 12, '', 'update_time', 'UpdateTime', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '0', '0', '0', '0', 'EQ', 'datetime', '', 3, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (123, 13, '', 'id', 'Id', 'varchar(191)', '', 'string', 'Id', 'id', '', '1', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 1, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (124, 12, '', 'classify', '模型归类', 'varchar(64)', '', 'string', 'Classify', 'classify', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (125, 13, '', 'update_time', 'UpdateTime', 'datetime', '', 'Time', 'UpdateTime', 'updateTime', '', '0', '', '0', '0', '0', '0', '0', 'EQ', 'datetime', '', 3, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (126, 12, '', 'key', '标识', 'varchar(64)', '', 'string', 'Key', 'key', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 8, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (127, 13, '', 'name', '固件名称', 'varchar(64)', '', 'string', 'Name', 'name', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 6, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (128, 12, '', 'p_name', '产品名称', 'varchar(64)', '', 'string', 'PName', 'pName', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (129, 13, '', 'p_name', '产品名称', 'varchar(191)', '', 'string', 'PName', 'pName', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 5, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (130, 12, '', 'name', '名称', 'varchar(64)', '', 'string', 'Name', 'name', '', '0', '', '1', '1', '1', '1', '1', 'LIKE', 'input', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (131, 13, '', 'create_time', 'CreateTime', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '0', '0', '1', '0', 'EQ', 'datetime', '', 2, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (132, 12, '', 'type', '数据类型', 'varchar(64)', '', 'string', 'Type', 'type', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'select', '', 10, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (133, 13, '', 'url', '下载地址', 'varchar(128)', '', 'string', 'Url', 'url', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 8, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (134, 12, '', 'description', '属性说明', 'varchar(255)', '', 'string', 'Description', 'description', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 9, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (135, 13, '', 'version', '固件版本', 'varchar(64)', '', 'string', 'Version', 'version', '', '0', '', '0', '1', '1', '1', '1', 'EQ', 'input', '', 7, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (136, 12, '', 'pid', '产品Id', 'varchar(64)', '', 'string', 'Pid', 'pid', '', '0', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 4, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (137, 12, '', 'create_time', 'CreateTime', 'datetime', '', 'Time', 'CreateTime', 'createTime', '', '0', '', '0', '0', '0', '1', '0', 'EQ', 'datetime', '', 2, '', '', '', '', '', 2, NULL);
INSERT INTO `dev_gen_table_columns` VALUES (138, 12, '', 'id', 'Id', 'varchar(191)', '', 'string', 'Id', 'id', '', '1', '', '0', '0', '0', '1', '1', 'EQ', 'input', '', 1, '', '', '', '', '', 2, NULL);

-- ----------------------------
-- Table structure for dev_gen_tables
-- ----------------------------
DROP TABLE IF EXISTS `dev_gen_tables`;
CREATE TABLE `dev_gen_tables`  (
  `table_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `table_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `table_comment` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `class_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `tpl_category` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `package_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `module_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `business_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `function_name` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `function_author` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `options` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `remark` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `pk_column` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `pk_go_field` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `pk_json_field` varchar(191) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  PRIMARY KEY (`table_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 13 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

-- ----------------------------
-- Records of dev_gen_tables
-- ----------------------------
INSERT INTO `dev_gen_tables` VALUES (1, 'log_jobs', 'LogJobs', 'LogJobs', 'crud', 'admin', 'log-jobs', 'logJobs', 'LogJobs', 'panda', '', '', 'log_id', 'LogId', 'logId', '2022-01-06 14:44:14', '2022-01-06 14:44:14', '2022-01-10 11:58:43', 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (2, 'log_logins', 'LogLogins', 'LogLogins', 'crud', 'log', 'log-logins', 'logLogins', 'logLogins', 'pandax', '', '', 'info_id', 'InfoId', 'infoId', '2022-01-06 14:44:27', '2022-01-26 14:45:46', '2022-07-16 18:24:04', 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (3, 'log_opers', 'LogOpers', 'LogOpers', 'crud', 'admin', 'log-opers', 'logOpers', 'LogOpers', 'panda', '', '', 'oper_id', 'OperId', 'operId', '2022-01-06 15:02:45', '2022-01-06 15:02:45', NULL, 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (4, 'sys_configs', 'SysConfigs', 'SysConfigs', 'crud', 'admin', 'sys-configs', 'sysConfigs', 'SysConfigs', 'panda', '', '', 'config_id', 'ConfigId', 'configId', '2022-01-06 15:02:45', '2022-01-06 15:02:45', '2022-01-12 15:56:49', 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (5, 'res_osses', 'ResOsses', 'ResOsses', 'crud', 'resource', 'res-osses', 'oss', 'ResOsses', 'panda', '', '', 'oss_id', 'OssId', 'ossId', '2022-01-13 15:12:14', '2022-01-13 15:39:11', NULL, 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (6, 'res_osses', 'ResOsses', 'ResOsses', 'crud', 'admin', 'res-osses', 'resOsses', 'ResOsses', 'panda', '', '', 'oss_id', 'OssId', 'ossId', '2022-01-13 15:12:27', '2022-01-13 15:12:27', '2022-01-13 15:12:41', 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (7, 'res_emails', 'ResEmails', 'ResEmails', 'crud', 'resource', 'res-emails', 'email', 'ResEmails', 'panda', '', '', 'mail_id', 'MailId', 'mailId', '2022-01-14 15:20:27', '2022-01-26 15:56:37', NULL, 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (8, 'sys_tenants', '租户', 'SysTenants', 'crud', 'system', 'sys-tenants', 'tenant', 'Tenant', 'panda', '', '', 'tenant_id', 'TenantId', 'tenantId', '2022-07-14 16:52:28', '2022-07-16 16:09:50', '2022-07-16 18:09:40', 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (9, 'sys_tenants', '租户', 'SysTenants', 'crud', 'system', 'sys-tenants', 'tenants', 'Tenants', 'panda', '', '', 'id', 'Id', 'id', '2022-07-16 18:14:53', '2022-07-16 22:45:33', NULL, 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (10, 'products', '产品', 'Product', 'crud', 'device', 'product', 'product', 'Product', 'panda', '', '', 'id', 'Id', 'id', '2023-06-30 08:57:48', '2023-06-30 09:35:47', NULL, 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (11, 'devices', '设备', 'Device', 'crud', 'device', 'device', 'device', 'Device', 'panda', '', '', 'id', 'Id', 'id', '2023-06-30 09:19:43', '2023-06-30 09:35:20', NULL, 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (12, 'product_templates', '产品模型', 'ProductTemplate', 'crud', 'device', 'product-template', 'template', 'Template', '熊猫', '', '', 'id', 'Id', 'id', '2023-06-30 09:31:58', '2023-06-30 09:33:09', NULL, 2, NULL);
INSERT INTO `dev_gen_tables` VALUES (13, 'product_ota', '产品固件', 'ProductOta', 'crud', 'device', 'product-ota', 'ota', 'Ota', 'panda', '', '', 'id', 'Id', 'id', '2023-06-30 09:31:58', '2023-06-30 09:34:09', NULL, 2, NULL);

-- ----------------------------
-- Table structure for device_alarms
-- ----------------------------
DROP TABLE IF EXISTS `device_alarms`;
CREATE TABLE `device_alarms`  (
  `id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '告警名称',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `device_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `product_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `type` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '告警类型',
  `level` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '告警级别',
  `state` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '告警状态',
  `details` varchar(1024) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '详情',
  `time` datetime(0) NULL DEFAULT NULL COMMENT '告警时间',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of device_alarms
-- ----------------------------
INSERT INTO `device_alarms` VALUES ('a45726cd56758eca709290c74', 'ws432', 2, 'panda', 'd_1928b99619910dae5a001fa7', 'p_3ba460634520cf4590dc90e5', '高温报警', 'MAJOR', '1', '{\"humidity\":41.6,\"temperature\":26.6,\"ts\":\"2023-09-14 08:58:24.593\"}', '2023-09-14 08:58:25');
INSERT INTO `device_alarms` VALUES ('aa462b4c73d3670fe6e5f73cc', 'ws432', 2, 'panda', 'd_1928b99619910dae5a001fa7', 'p_3ba460634520cf4590dc90e5', '高温报警', 'MAJOR', '1', '{\"humidity\":41.6,\"temperature\":26.6,\"ts\":\"2023-08-17 16:40:47.677\"}', '2023-08-17 16:34:06');
INSERT INTO `device_alarms` VALUES ('af3b39f8d8ca220fee001fcf', 'ws432', 2, 'panda', 'd_1928b99619910dae5a001fa7', 'p_3ba460634520cf4590dc90e5', '高温报警', 'MAJOR', '1', '{\"humidity\":43.6,\"temperature\":26.6,\"ts\":\"2023-08-07 16:26:09.443\"}', '2023-08-03 11:19:56');
INSERT INTO `device_alarms` VALUES ('e765e9ef022812a8b89dfb4c', '', 2, 'panda', 'd_1928b99619910dae5a001fa7', 'p_3ba460634520cf4590dc90e5', '高温报警', 'MAJOR', '3', '{\"humidity\":43.6,\"temperature\":18.6,\"ts\":\"2023-08-03 11:16:38.617\"}', '2023-08-03 11:11:44');
INSERT INTO `device_alarms` VALUES ('xjqWL6LtKK', 'ws432', 2, 'panda', '9GOIPOI6GQ', 'p_3ba460634520cf4590dc90e5', '高温报警', 'MAJOR', '1', '{\"temperature\":28.8,\"ts\":\"2023-09-22 15:03:30.271\"}', '2023-09-22 14:48:06');
INSERT INTO `device_alarms` VALUES ('xjqWL6LtKQ', 'ws432', 2, 'panda', '9GOIPOI6GQ', 'p_3ba460634520cf4590dc90e5', '高温报警', 'MAJOR', '0', '{\"temperature\":28.2,\"ts\":\"2023-09-28 09:24:14.780\"}', '2023-09-22 14:48:06');

-- ----------------------------
-- Table structure for device_cmd_log
-- ----------------------------
DROP TABLE IF EXISTS `device_cmd_log`;
CREATE TABLE `device_cmd_log`  (
  `id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `device_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `cmd_name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `cmd_content` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL,
  `state` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `response_content` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL,
  `request_time` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `response_time` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `type` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of device_cmd_log
-- ----------------------------
INSERT INTO `device_cmd_log` VALUES ('atjwpxZ69A', '9GOIPOI6GQ', 'ota', '{\"version\":\"v1.4\",\"url\":\"http://127.0.0.1:7788/upload/get/0ab71ae4a9b9b6f045d43be8de89344d_20231005105659.zip\",\"module\":\"main\",\"check\":\"1586515d5f0216eb7d2d28204321edf5\"}', '0', '', '2023-10-05 11:45:19', '', '');
INSERT INTO `device_cmd_log` VALUES ('cmd_de8489c9bf0da8f79e9573f5', 'd_1928b99619910dae5a001fa7', 'restart', '{\"aa\":444}', '0', '{\"aa\":\"7\"}', '2023-08-04 15:19:20', '2023-08-04 15:57:52', '');
INSERT INTO `device_cmd_log` VALUES ('ExEH02Mhsg', 'lCtIzLLdIQ', 'closeD', '{\"close\":\"aaa\"}', '0', '', '2023-09-27 17:16:08', '', '');
INSERT INTO `device_cmd_log` VALUES ('kOJqT2-1kg', 'lCtIzLLdIQ', 'closeD', '{\"close\":\"asd\"}', '0', '', '2023-09-27 17:21:04', '', '');
INSERT INTO `device_cmd_log` VALUES ('mtvm1Qd0PA', 'lCtIzLLdIQ', 'closeD', '{\"close\":\"010304026C00883BF0\"}', '0', '', '2023-09-27 16:45:12', '', '');
INSERT INTO `device_cmd_log` VALUES ('tlz6PjTxkg', '9GOIPOI6GQ', 'restart', '{\"aa\":12}', '0', '', '2023-10-05 11:28:49', '', '');

-- ----------------------------
-- Table structure for device_groups
-- ----------------------------
DROP TABLE IF EXISTS `device_groups`;
CREATE TABLE `device_groups`  (
  `id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '设备分组名称',
  `pid` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '上级设备分组类型',
  `path` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '设备分组路径',
  `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '设备分组说明',
  `sort` int(0) NULL DEFAULT NULL COMMENT '排序',
  `ext` json NULL COMMENT '扩展',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '状态',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of device_groups
-- ----------------------------
INSERT INTO `device_groups` VALUES ('5h2eEVcqLw', 'panda', 2, '2023-06-30 08:52:37', '2023-06-30 08:52:37', '一层', 'eiAx7ZgWKg', '/0/eiAx7ZgWKg/5h2eEVcqLw', '', 1, 'null', '0');
INSERT INTO `device_groups` VALUES ('eiAx7ZgWKg', 'panda', 2, '2023-06-30 08:52:16', '2023-06-30 08:53:47', '1号楼', '0', '/0/eiAx7ZgWKg', '1号楼，位于园区东南角，安保人：张三，电话：11111', 1, 'null', '0');

-- ----------------------------
-- Table structure for devices
-- ----------------------------
DROP TABLE IF EXISTS `devices`;
CREATE TABLE `devices`  (
  `id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '设备名称',
  `token` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '设备token',
  `alias` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '设备别名',
  `pid` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品Id',
  `gid` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '分组Id',
  `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品说明',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '状态',
  `ota_version` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '固件版本',
  `ext` json NULL COMMENT '拓展',
  `parent_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '父Id，子设备时，父设备为网关',
  `device_type` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '设备类型',
  `link_status` varchar(10) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '连接状态',
  `last_time` datetime(0) NULL DEFAULT NULL COMMENT '最后一次在线时间',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `fk_devices_product`(`pid`) USING BTREE,
  INDEX `fk_devices_device_group`(`gid`) USING BTREE,
  CONSTRAINT `fk_devices_device_group` FOREIGN KEY (`gid`) REFERENCES `device_groups` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT,
  CONSTRAINT `fk_devices_product` FOREIGN KEY (`pid`) REFERENCES `products` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of devices
-- ----------------------------
INSERT INTO `devices` VALUES ('68zSC94dFQ', 'panda', 2, '2023-07-31 14:23:13', '2023-07-31 14:23:13', 'ctr453', '', '智能控制器453', 'p_bf52caf91f7cdd2abb52eaaf', 'eiAx7ZgWKg', '', '0', '', 'null', 'rC82hwE6iw', 'gatewayS', 'offline', '2023-09-28 10:08:07');
INSERT INTO `devices` VALUES ('9GOIPOI6GQ', 'panda', 2, '2023-07-26 22:23:16', '2023-09-07 11:35:22', 'ws432', 'YWRlMTA0MmYtMzc2MS0zZTljLThjNjAtMzNhMzg4ZjdkOGQ3', '温湿度器', 'p_3ba460634520cf4590dc90e5', 'eiAx7ZgWKg', '设备说明1', '0', '', '{\"location\": {\"lat\": 37.037581, \"lng\": 118.18431, \"address\": \"山东省淄博市张店区傅家镇淄博市植物园志愿者阅览室\", \"position\": [118.027698, 36.791573]}}', '', 'direct', 'offline', '2023-09-28 09:24:46');
INSERT INTO `devices` VALUES ('l7HF7UZCEA', 'panda', 2, '2023-09-28 09:22:41', '2023-09-28 09:22:41', 'zhilian01', 'MTZlZDM3OGItODdiOS0zZDIwLWJmZjQtMWY3ODM3YzRhN2Ji', '直连设备', 'p_3ba460634520cf4590dc90e5', '5h2eEVcqLw', '', '0', '', 'null', '', 'direct', 'inactive', '2023-09-28 09:22:41');
INSERT INTO `devices` VALUES ('lCtIzLLdIQ', 'panda', 2, '2023-09-27 11:47:47', '2023-09-27 11:47:47', 'TestTcp', 'OTYwNTE3ODUtYTFhMy0zOTIwLWIwZmItYzc3OWVkZWZjOTUw', 'TCP透传', 'mSOWuiA97g', '5h2eEVcqLw', '', '0', '', 'null', '', 'direct', 'online', '2023-09-27 17:20:52');
INSERT INTO `devices` VALUES ('qmWqYlY6-w', 'panda', 2, '2023-09-27 15:08:56', '2023-09-27 15:08:56', 'httpde1', 'MDVlY2MyNzYtMzczMS0zN2Y2LTk1MWMtMDMwM2ZjNmQyNjlm', 'HTTP设备测试', 'ek2WUADl6g', '5h2eEVcqLw', '', '0', '', 'null', '', 'direct', 'online', '2023-09-27 17:36:55');
INSERT INTO `devices` VALUES ('rC82hwE6iw', 'panda', 7, '2023-09-23 14:22:18', '2023-09-16 10:03:12', 'gateway4353', 'ZTg0ZDNkZDItOWQ1Mi0zYjM2LTg1NWQtYTI0NmE0NDcyOTM2', '智能网关4353', 'p_cdbb1eccd902018d51fe062e', 'eiAx7ZgWKg', '', '0', '', '{\"location\": {\"label\": \"\", \"address\": \"天津市西青区中北镇现快速处理中心\", \"content\": \"\", \"position\": [117.100495, 39.135469]}}', '', 'gateway', 'online', '2023-10-05 13:55:32');

-- ----------------------------
-- Table structure for job_logs
-- ----------------------------
DROP TABLE IF EXISTS `job_logs`;
CREATE TABLE `job_logs`  (
  `id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `org_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '机构ID',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '任务名称',
  `entry_id` int(0) NULL DEFAULT NULL COMMENT '任务id',
  `target_invoke` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '调用方法',
  `log_info` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '日志信息',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '状态',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of job_logs
-- ----------------------------
INSERT INTO `job_logs` VALUES ('74GZAOIGuA', '', '2', '2023-08-08 17:46:00', '2023-08-08 17:46:00', 'adsa', 1, 'cronDevice', '任务运行成功，总耗时 0.001264', '0');

-- ----------------------------
-- Table structure for jobs
-- ----------------------------
DROP TABLE IF EXISTS `jobs`;
CREATE TABLE `jobs`  (
  `id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `job_name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '名称',
  `target_invoke` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '调用目标',
  `target_args` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '目标传参',
  `job_content` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '目标传参 要执行的内容',
  `cron_expression` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT 'cron表达式',
  `misfire_policy` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '执行策略',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '状态',
  `entry_id` int(0) NULL DEFAULT NULL COMMENT 'job启动时返回的id',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of jobs
-- ----------------------------
INSERT INTO `jobs` VALUES ('wvz4D6CXSw', 'panda', 2, '2023-08-08 17:29:30', '2023-08-08 17:42:58', 'adsa', 'cronDevice', 'd_1928b99619910dae5a001fa7', '{\"设备下发\":\"asdas\"}', ' 0/10 * * * * ?', '1', '0', 0);

-- ----------------------------
-- Table structure for log_logins
-- ----------------------------
DROP TABLE IF EXISTS `log_logins`;
CREATE TABLE `log_logins`  (
  `info_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `username` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '用户名',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '状态',
  `ipaddr` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip地址',
  `login_location` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '归属地',
  `browser` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '浏览器',
  `os` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '系统',
  `platform` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '固件',
  `login_time` timestamp(0) NULL DEFAULT NULL COMMENT '登录时间',
  `create_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '创建人',
  `update_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '更新者',
  `remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `msg` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`info_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 3605 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of log_logins
-- ----------------------------

-- ----------------------------
-- Table structure for log_opers
-- ----------------------------
DROP TABLE IF EXISTS `log_opers`;
CREATE TABLE `log_opers`  (
  `oper_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `title` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作的模块',
  `business_type` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '0其它 1新增 2修改 3删除',
  `method` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '请求方法',
  `oper_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作人员',
  `oper_url` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作url',
  `oper_ip` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作IP',
  `oper_location` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作地点',
  `oper_param` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '请求参数',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '0=正常,1=异常',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`oper_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1666 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of log_opers
-- ----------------------------

-- ----------------------------
-- Table structure for product_categories
-- ----------------------------
DROP TABLE IF EXISTS `product_categories`;
CREATE TABLE `product_categories`  (
  `id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品类型名称',
  `pid` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '上级产品类型',
  `path` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品类型路径',
  `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品类型说明',
  `sort` int(0) NULL DEFAULT NULL COMMENT '排序',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '状态',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of product_categories
-- ----------------------------
INSERT INTO `product_categories` VALUES ('pc_8e12a1ec7ba3bffc1337e163', 'panda', 2, '2023-08-09 11:04:37', '2023-08-09 11:04:37', '海康摄像头', 'pc_d31572a0ceaa070f18cb669a', '/0/pc_d31572a0ceaa070f18cb669a/pc_8e12a1ec7ba3bffc1337e163', '', 1, '0');
INSERT INTO `product_categories` VALUES ('pc_d31572a0ceaa070f18cb669a', 'panda', 2, '2023-08-09 11:04:00', '2023-08-09 11:04:00', '视频产品', '0', '/0/pc_d31572a0ceaa070f18cb669a', '', 1, '0');
INSERT INTO `product_categories` VALUES ('pc61058315302171445335c3d5', 'panda', 2, '2023-06-29 17:50:30', '2023-06-29 17:50:31', ' 测试', '0', '/0/pc61058315302171445335c3d5', '', 1, '0');
INSERT INTO `product_categories` VALUES ('pcd2e673d2cd92e860cff5d958', 'panda', 2, '2023-06-29 17:52:18', '2023-06-29 17:52:18', '啊实打实', 'pc61058315302171445335c3d5', '/0/pc61058315302171445335c3d5/pcd2e673d2cd92e860cff5d958', '', 2, '0');

-- ----------------------------
-- Table structure for product_ota
-- ----------------------------
DROP TABLE IF EXISTS `product_ota`;
CREATE TABLE `product_ota`  (
  `id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `pid` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品Id',
  `is_latest` tinyint(0) NULL DEFAULT NULL COMMENT '最新版本',
  `name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '固件名称',
  `version` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '固件版本',
  `url` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '下载地址',
  `check` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT 'md5校验值',
  `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '说明',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of product_ota
-- ----------------------------
INSERT INTO `product_ota` VALUES ('FlwNLfdNWg', '2023-10-05 12:09:26', '2023-10-05 12:09:26', 'p_3ba460634520cf4590dc90e5', 0, '测试固件', 'v1.1', '0683c172cdf300720c55ae418a8e83fc_20231005120900.zip', '4bb850e9e7ceb3e9f12fc35b8073eca3', '', 0);

-- ----------------------------
-- Table structure for product_templates
-- ----------------------------
DROP TABLE IF EXISTS `product_templates`;
CREATE TABLE `product_templates`  (
  `id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `pid` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品Id',
  `classify` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '模型归类',
  `name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '名称',
  `key` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '标识',
  `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '属性说明',
  `type` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '数据类型',
  `define` json NULL COMMENT '数据约束',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of product_templates
-- ----------------------------
INSERT INTO `product_templates` VALUES ('iEPLrCC1gA', '2023-09-27 11:35:25', '2023-09-27 11:35:25', 'mSOWuiA97g', 'telemetry', '温度', 'temperature', '', 'float64', '{\"max\": 100, \"min\": 0, \"unit\": \"摄氏度\"}', 2);
INSERT INTO `product_templates` VALUES ('jvvLVElnLg', '2023-09-28 09:26:46', '2023-09-28 09:44:50', 'p_bf52caf91f7cdd2abb52eaaf', 'telemetry', '温度1', 'temperature', '', 'float64', '{}', 2);
INSERT INTO `product_templates` VALUES ('tm_14732f0fa234453e328bbd30', '2023-08-01 09:09:51', '2023-08-01 10:26:05', 'p_3ba460634520cf4590dc90e5', 'telemetry', '开关', 'open', '', 'bool', '{\"boolDefine\": [{\"key\": \"0\", \"value\": \"开\"}, {\"key\": \"1\", \"value\": \"关1\"}]}', NULL);
INSERT INTO `product_templates` VALUES ('tm_377e0b1cc9812ab11464e2b4', '2023-08-01 09:22:54', '2023-08-01 09:23:09', 'p_3ba460634520cf4590dc90e5', 'telemetry', '测试参数', 'test', '', 'enum', '{\"enumDefine\": [{\"key\": \"0\", \"value\": \"开\"}, {\"key\": \"1\", \"value\": \"关\"}]}', NULL);
INSERT INTO `product_templates` VALUES ('tm_43fa702e0c3aa6bb91d79e95', '2023-07-26 22:21:59', '2023-07-26 22:21:59', 'p_3ba460634520cf4590dc90e5', 'attributes', '编号', 'num', '', 'string', '{\"rw\": \"rw\", \"default_value\": \"23332442\"}', NULL);
INSERT INTO `product_templates` VALUES ('tm_538231f64592eb53b6d46d12', '2023-09-08 13:57:19', '2023-09-08 13:57:19', 'p_cdbb1eccd902018d51fe062e', 'attributes', '版本号', 'version', '', 'string', '{\"rw\": \"r\", \"default_value\": \"v1.0\"}', NULL);
INSERT INTO `product_templates` VALUES ('tm_925cec0662102b40fe33b7bb', '2023-07-26 22:20:45', '2023-07-26 22:20:45', 'p_3ba460634520cf4590dc90e5', 'telemetry', '湿度', 'humidity', '', 'float64', '{\"max\": \"100\", \"min\": \"1\", \"step\": 0.01, \"unit\": \"G\"}', NULL);
INSERT INTO `product_templates` VALUES ('tm_ac52beea237bb9009f1029af', '2023-07-26 22:20:08', '2023-07-26 22:20:08', 'p_3ba460634520cf4590dc90e5', 'telemetry', '温度', 'temperature', '', 'float64', '{\"max\": \"100\", \"min\": \"1\", \"step\": 0.01, \"unit\": \"度\"}', NULL);
INSERT INTO `product_templates` VALUES ('tm_e815087669adc6f9fcf6bcf4', '2023-08-01 14:14:47', '2023-08-01 14:14:47', 'p_3ba460634520cf4590dc90e5', 'commands', '重启', 'restart', '设备重启指令', '', '{\"input\": [{\"key\": \"aa\", \"name\": \"重启参数\", \"type\": \"int64\", \"define\": {\"max\": 100, \"min\": 1, \"step\": 1, \"unit\": \"KW\"}}], \"output\": []}', NULL);
INSERT INTO `product_templates` VALUES ('tm-4991928839c4dec5c08109f5', '2023-07-21 10:38:02', '2023-07-21 10:38:02', 'p03d9a6fb450e8443456f41b0', 'telemetry', '电流', 'i', '', 'float64', '{\"max\": \"100\", \"min\": \"1\", \"step\": \"1\", \"unit\": \"A\"}', NULL);
INSERT INTO `product_templates` VALUES ('tm-9e922dad5c325348c123103d', '2023-07-21 10:37:05', '2023-07-21 10:37:05', 'p03d9a6fb450e8443456f41b0', 'attributes', '序列号', 'ns', '', 'string', '{\"rw\": \"r\", \"default_value\": \"NS42342\"}', NULL);
INSERT INTO `product_templates` VALUES ('tm-a2998852fd8c1507cfc8d0e1', '2023-07-21 10:37:39', '2023-07-21 10:57:49', 'p03d9a6fb450e8443456f41b0', 'telemetry', '电压', 'u', '', 'float64', '{\"max\": 100, \"min\": 1, \"step\": 1, \"unit\": \"V\"}', NULL);
INSERT INTO `product_templates` VALUES ('UksLt1hVdQ', '2023-10-05 11:43:31', '2023-10-05 11:43:31', 'p_3ba460634520cf4590dc90e5', 'commands', '固件升级', 'ota', '', '', '{\"input\": [{\"key\": \"version\", \"name\": \"版本\", \"type\": \"string\", \"define\": {}, \"description\": \"要升级的版本\"}, {\"key\": \"url\", \"name\": \"固件路径\", \"type\": \"string\", \"define\": {}, \"description\": \"固件路径\"}, {\"key\": \"module\", \"name\": \"固件模块\", \"type\": \"string\", \"define\": {}}, {\"key\": \"check\", \"name\": \"校验和\", \"type\": \"string\", \"define\": {}, \"description\": \"md5校验，校验和\"}], \"output\": []}', 2);
INSERT INTO `product_templates` VALUES ('VFuqZIlNnQ', '2023-09-27 11:36:15', '2023-09-27 11:36:15', 'mSOWuiA97g', 'telemetry', '湿度', 'humidity', '', 'float64', '{\"max\": 100, \"min\": 0, \"unit\": \"RH\"}', 2);
INSERT INTO `product_templates` VALUES ('wR1s2TfugA', '2023-09-27 15:07:54', '2023-09-27 15:07:54', 'ek2WUADl6g', 'telemetry', '温度', 'temperature', '', 'float64', '{\"max\": 100, \"min\": 0, \"unit\": \"摄氏度\"}', 2);
INSERT INTO `product_templates` VALUES ('YoDVrJFyAg', '2023-09-27 16:43:14', '2023-09-27 16:43:14', 'mSOWuiA97g', 'commands', '关闭指示灯', 'closeD', '', '', '{\"input\": [{\"key\": \"close\", \"name\": \"关闭\", \"type\": \"string\", \"define\": {}}], \"output\": []}', 2);

-- ----------------------------
-- Table structure for products
-- ----------------------------
DROP TABLE IF EXISTS `products`;
CREATE TABLE `products`  (
  `id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品名称',
  `photo_url` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '图片地址',
  `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品说明',
  `product_category_id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品类型Id',
  `protocol_name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '协议名称',
  `device_type` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '设备类型',
  `rule_chain_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '规则链Id',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '状态',
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `fk_products_product_category`(`product_category_id`) USING BTREE,
  CONSTRAINT `fk_products_product_category` FOREIGN KEY (`product_category_id`) REFERENCES `product_categories` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of products
-- ----------------------------
INSERT INTO `products` VALUES ('ek2WUADl6g', 'panda', 2, '2023-09-27 15:07:02', '2023-09-27 15:07:02', 'HTTP设备产品', '', '', 'pcd2e673d2cd92e860cff5d958', 'HTTP', 'direct', 'rulee765e9ef022812a8b89dfb4c', '0');
INSERT INTO `products` VALUES ('Fb3DlUja_Q', 'panda', 2, '2023-09-27 11:27:24', '2023-09-27 11:27:24', 'MQTT透传解析', '', '', 'pcd2e673d2cd92e860cff5d958', 'MQTT', 'direct', '', '0');
INSERT INTO `products` VALUES ('kqEUXwsU9w', 'panda', 2, '2023-08-19 09:26:50', '2023-10-05 10:41:22', '测试产品1', '9b37cd4ca37090649adcee8bf17cfdcc_20230414141350.png', '', 'pcd2e673d2cd92e860cff5d958', 'MQTT', 'direct', 'rulee765e9ef022812a8b89dfb4c', '0');
INSERT INTO `products` VALUES ('mSOWuiA97g', 'panda', 2, '2023-09-27 11:25:11', '2023-09-27 11:26:20', 'TCP透传测试产品', '', '', 'pcd2e673d2cd92e860cff5d958', 'TCP', 'direct', 'mq1YRZbUgQ', '0');
INSERT INTO `products` VALUES ('p_3ba460634520cf4590dc90e5', 'panda', 2, '2023-07-26 22:17:27', '2023-08-03 10:13:45', '测试产品', '', '', 'pcd2e673d2cd92e860cff5d958', 'MQTT', 'direct', 'rule_a37571bb6c45378b57803793', '0');
INSERT INTO `products` VALUES ('p_bf52caf91f7cdd2abb52eaaf', 'panda', 2, '2023-07-31 14:16:29', '2023-07-31 14:16:29', '智能控制器', '', '', 'pcd2e673d2cd92e860cff5d958', 'MQTT', 'gatewayS', 'rulee765e9ef022812a8b89dfb4c', '0');
INSERT INTO `products` VALUES ('p_cdbb1eccd902018d51fe062e', 'panda', 2, '2023-07-31 14:15:35', '2023-07-31 14:15:35', '网关设备', '', '网关设备', 'pcd2e673d2cd92e860cff5d958', 'MQTT', 'gateway', 'rulee765e9ef022812a8b89dfb4c', '0');

-- ----------------------------
-- Table structure for rule_chain
-- ----------------------------
DROP TABLE IF EXISTS `rule_chain`;
CREATE TABLE `rule_chain`  (
  `id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `root` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '是否根节点1 根链 0 普通链',
  `rule_name` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '名称',
  `rule_base64` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT 'Base64缩略图',
  `rule_remark` varchar(256) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '说明',
  `rule_data_json` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT 'Json数据',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of rule_chain
-- ----------------------------
INSERT INTO `rule_chain` VALUES ('mq1YRZbUgQ', 'panda', 2, '2023-07-21 16:17:51', '2023-09-27 11:40:38', '0', 'tcp透传原始数据解析', 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kqKtGzZUrp06VLLZOfOndKoqqX06tYvZFYNCfJ8zYjTcOz6626UjZs21ArytPKeM+j0c3XNyLMbrAGXzkZzLqN1LrV1Bn/OZ+xQzNvXvWHWFbxpULhw8Tz515y3rUffnDFXVq/5wlo2rLMNtY4P//qBmhl/dv0uvuhSa3mw57Jgu3zn7D3PZbiedQzmjLzcbWvlVMUR6d69e53jSsdf69atJTs7O2TjjxebIUCQZ0Y/UUsEEEAAAQQQQAABBBBAAAE/BE6fPi1Hjx6VkpIS61edyVRUVGQ96Rng+Qr09N7zzz+/1gy9aA3yfC0Zve7aG6V3rwusdjtn5G3bnlsz28yfPfI0tNKlrA/97NGamXW+usHb/nnO5zyX3Gr5aWltrXDQn8sOApcuX1wzO1BDQrsMe49AXearYaVeWQMvkgcfuluce/7VV1Y4Z+QR5NXXG3zdU4AgjzGBAAIIIIAAAggggAACCCBgrIAeBLB7927Zv3+/Fd7pfnbOyxnWxWKQp23VWWr2gQ/OP+vvvS2t1c97HgxR10ERGsB9tGS+TL7tP33OaHMGZYHukRfo4LOX+SYnN5UO7Tt53afPfqcuu01LayMnThxnRl6g0NwflQIEeVHZLVQKAQQQQAABBBBAAAEEEEDAm8Dx48flwIEDVnCnAV5ZWVmdUN6CPF8z8RISEkQPwNDltXoIhvOK1hl53oI8e+mntyDPPuU1NbW1Fc5pwOXt8AjnMlg7yLv7Bz+x9qfT5/T3etmz8G6YcFvNKa6e93gerKGzCEeOGF1z2IV9wq2vvfqch2PYMwT9+e6wl8vqLMS9ebtq9uWr71lm5NUnxNcjKUCQF0l9ykYAAQQQQAABBBBAAAEEEKhXQMO7zZs3S35+vhXg+bo0iGvWrJm0aNHC+lVDucLCQtmzZ4/1SKwedqFBWVrrtjL3w/dkxusviTPA8pyRd7i4UPQgiW5de0jvXn1rwjd/ZuQN7D/YctRQTC898VaDta5dutcKyQKdkVdX2VqOZ/Am5fQkAAAgAElEQVRX74DxuEGDOTvI8xUEOvfIC/T953I/h12ci547nyXIc2e/02oEEEAAAQQQQAABBBBAIOoFdKmsBnhbtmyR0tJSr/XVkzz1tFn9aNOmzVn3OA+78PyiBn068y43N1eysrKkSZMmXsvQ5bqrV+fI4AuvlJTmqSFza8hhF1oZz6W1OkvuualPyS033WHNetM//2Xa1JoDITTM0nDr6Sd+J7967Gc+T62d/c4SK+izg7mxY66v2SfPPp3W295zDZmR98qMF629/PSEXM/rXGbw6bucQZ63UNB5YIjer/vr3fOfD8jsD962zPTPq9d8WXOARqCn4NY1YEqOFsnnqxfJoEF1j7+cnBwZO3aspKWlhWz88WIzBAjyzOgnaokAAggggAACCCCAAAIIuEbg8OHDVoCnAVt5eXmtdutsu44dO0qHDh2sj6ZNm9bp4i3I0wAvMzPT+tBr3bp1snbtWklPT5e4uLha76usrJSCgoOS0amv9RHKK1hBnucMN29Bni6ndS6frWtWnDMIs5ed6nLXOybdI7945L6zDsJoyIy8+x6Y4jNQdC6tVf9AZ/AFEuRpoDjskhHWYRrewkV7mXD/foOsmY0/f/DXXsPHQMaJzsrbtutra/zFx9cefzqLVPeBHDBggPTv3z+Q13JvjAoQ5MVox9IsBBBAAAEEEEAAAQQQQMA0gYqKClm5cqUV4GmA5rw05OjTp4/07t07oGY5gzzPAM/5Il2Cu2/fPis4/ODDUomvrJTLLm4siYmJ0vq8diGdiWfXo6FBnrc93XSmnIZN99x3u2zctL4mtNOZefZSWHtWnS9Q54mz9l54e/N2ywu/f1Vatfp2ZqJdvn2/54w8z/d7m2EXrhl5/i6t9XYCr7YjVEtwdWZeYdEBqThTIUs+O22RfW9MsjRq1MgKrpmJF9C3fUzfTJAX091L4xBAAAEEEEAAAQQQQAABMwR0H7ylS5daYZrz0hBDA7wePXo0qCEa5OnSXOcMvPpe9J8/LpLEijPy3w80q+/WoH69oUFeUCsRgy8LZEaeM6CMFMWjzx23iv7bH1tHqgqUG8UCBHlR3DlUDQEEEEAAAQQQQAABBBBwg0BRUZF88sknor/aV5cuXazZd927dz8ngg0bNtQsofX3RQR5/kpxXygECPJCoRo77yTIi52+pCUIIIAAAggggAACCCCAgHECOgNvyZIlcvLkyZq69+3bV4YNGxaxthDkRYyegkWEII9hUJcAQR7jAwEEEEAAAQQQQAABBBBAICICu3fvlkWLFtXaD09Pj83Ozo5IfexC7/1pkcSdOiO/vL+ZJCSEryosrQ2fdbSWdOaMyBNTj1vj7sXnWVobrf0UyXoR5EVSn7IRQAABBBBAAAEEEEAAARcL/Otf/5L8/PwagbFjx1ob+0f6evw3JZKfd1omT0iSLh3jw1adQ0UFEtc4QdLbtgtbmRQUXQK78s7IP94slY4dEuXxh1Oiq3LUJioECPKiohuoBAIIIIAAAggggAACCCDgLoF169bJF198UdPou+++O2oAZs0+IQsXnpR+PRNl3OjGYatXYfFBkcR4grywiUdfQe/MPSXrN5XL6FFJMnFceA9biT4NauRNgCCPcYEAAggggAACCCCAAAIIIBBWgZKSEpk9e7aUlZVZ5UbLTDwb4XBxpTzyRLFIeaWMurSRDMlqFHKfuPg4OVRyyCqHGXkh547KAlasOi0LPjltLat95rFWktoqfLNBoxKESnkVIMhjYCCAAAIIIIAAAggggAACCIRVYOnSpZKbm2uVOWDAALnooovCWr4/hS1feUqmzzwmCVVVktkzUQZmJkrHdvEh2TNPQ7y4RvFysLCAIM+fzomhe3RPvL0HzsiqdRXWTDy9Jt/aXC4b2iSGWklTgilAkBdMTd6FAAIIIIAAAggggAACCCBQp8DevXvlww8/tO5JS0uT6667ThITE6NSTcO8mW8dl6rySokTkbjKqqDWsyo+TvSNlfHVM69OnqgO8po2Sw9qObzMDAGdiXfbTYR4ZvRW5GpJkBc5e0pGAAEEEEAAAQQQQAABBFwn8Omnn8rGjRutdn/3u9+Vrl27RrWBLrNdsqxUNmyskPyCCtEZVFwIBEtAw7t26YmS2TdRRgxPZjltsGBj+D0EeTHcuTQNAQQQQAABBBBAAAEEEIg2gddff12OHz8uycnJctttt0n8v2ejRVs9qQ8CCCAQjQIEedHYK9QJAQQQQAABBBBAAAEEEIhBgby8PJk3b57VsoyMDBk1alQMtpImIYAAAqETIMgLnS1vRgABBBBAAAEEEEAAAQQQcAg4l9UOHz5c+vTpgw8CCCCAQAACBHkBYHErAggggAACCCCAAAIIIIBAwwXeeecdOXz4sPWCyZMnS1JSUsNfxpMIIICACwUI8lzY6TQZAQQQQAABBBBAAAEEEIiEwMsvvyzl5eVWgKdBHhcCCCCAQGACBHmBeXE3AggggAACCBgiUFFRIXv27JGSkhKprKyss9ZVVVWGtMod1UxISJCUlBTp0qWLJCYmuqPRtBIBFwiUlpbKjBkzrJa2bt1aJk6c6IJW00QEEEAguAIEecH15G0IIIAAAgggEAUCa9askTWr1kpaq3RpkdxKROKCVqu4BBGJF5GE4L0zaJWLmRdVydHjh6WwqEAGDhwgAwcOjJmW0RAE3CxQUFAgs2fPtgg0qB89erSbOWg7Aggg0CABgrwGsfEQAggggAACCESrwMeLl8jxI6XSJyNLmjZtEbJqxsXHSVyjeDlYWGCVkd62XcjKcuuLT5w8Khu3fCXNmyfLlSNHuJWBdiMQMwJbt26VJUuWWO254IIL5LLLLouZttEQBBBAIFwCBHnhkqYcBBBAAAEEEAi5gM7E27v9gGRdeHnIy9ICNMw7VHKIIC/E2l+t/Ug6d2nPzLwQO/N6BEItsGrVKsnJybGKycrKkuzs7FAXyfsRQACBmBMgyIu5LqVBCCCAAAIIuFNA98Sb/vIMGTZoTEhn4nnqFhYfFEmMZ0ZeCIedzsxbtnKOTJ48iT3zQujMqxEItcDGjRvl008/tYrp16+fDBkyJNRF8n4EEEAg5gQI8mKuS2kQAggggAAC7hTYsWOHfJ2zOWyz8WzlQ0UFEtc4gSAvxMNOZ+VdmNlHMjIyQlwSr0cAgVAJ6N/Tixcvtl7ft29fGTZsWKiK4r0IIIBAzAoQ5MVs19IwBBBAAAEE3CWgy2qP7C+Tnj36hbXhBw/lS3xSIkFeiNVzt62RlNQmLK8NsTOvRyCUAvv375c5c+ZYRfTs2VNGjGDvy1B6824EEIhNAYK82OxXWoUAAggggIDrBFavXi1H88ulZ4/MsLadIC883Lnb1krzlAT21AoPN6UgEBKB4uJiefvtt613d+/eXa666qqQlMNLEUAAgVgWIMiL5d6lbQgggAACCBgqsGHDBsnMDCyQ003UjxVUEOQZ2uf1VZsgrz4hvo5A9AuUlZXJ9OnTrYp27txZxowZE/2VpoYIIIBAlAkQ5EVZh1AdBBBAAAEEEBDRUG7Lli1WmOdvoEeQF9sjhyAvtvuX1rlHYNq0aVZj27RpI+PHj3dPw2kpAgggECQBgrwgQfIaBBBAAAEEEAiegIZyOTk51gubN2/uV6BHkBc8/2h8E0FeNPYKdUIgcIGZM2fKiRMnJCEhQX7wgx8E/gKeQAABBFwuQJDn8gFA8xFAAAEEEIhGAWeQZ9evvkAvFoK8d99/Q06ePCkbvl4jM15/6ayumXTrXfLEo89KUlJyzde279giz019Wp558nlp1SrVr+6s7xn9+rbtuXL5ZaPkL9Omyh2T7pUlSxdI507drPd/+tkSefAnj/hVVrBuIsgLliTvQSCyArNnz5aCggKrEjfddJOkpKREtkKUjgACCBgmQJBnWIdRXQQQQAABBNwg4C3Iqy/QMz3IKysrleemPiXjx90k781+S2656Q7pkdGrVmD3xluvyM8f/LUVrj37uyf9GgrO8E/LeOzJh6zn7EBw6h+eka5dusuE62+p9T4NFdNat5XVa76QZs2aS1rrNtY9+nkN9AZnD/Wr/GDdRJAXLEneg0BkBRYvXiw7duywKqGHXeihF1wIIIAAAv4LEOT5b8WdCCCAAAIIIBAmAWeQV1VVJXFxcWeV7DlDz/QgT2fBaVB3370/lxdefK7OIM+ekVdcfFgeefSn8vMHf1Ur9PPWTXrvfQ9MkU+WLfLaiw/97NGaWXYa1t3/0zvPuu/lv70tr86YVusd3mYJhmKYEOSFQpV3IhB+gZUrV4oeaKRXVlYWJ1GHvwsoEQEEDBcgyDO8A6k+AggggAACsSjgLcjzFeglJSVJ+/bt5dSpU9IsLs3YU2s1PNPrmtHXW7Pm/Fla+9WqlbJg0Qdy7NhRr/dfMfwqeeH3r5615Faf81we622m3Xuz35SFi+dJyxYtrRl88+a/L198ucL6fWlpqfzPs4/KLx960u8lvecyVgnyzkWPZxGIHoHNmzfLsmXLrApxcm309As1QQABcwQI8szpK2qKAAIIIIBAzAmcPn3a2hPu+PHjNb/qJuj79++XkpISq72eAZ6vQE8/36tTfyODPHu23A0TbrWCPF1iq0trU1ul1YRlh4sLrRl7urRWZ+TZS3E9l+CqmQZ1424YIbPfWWItgdXZfvfcd7ts3LS+3jH0p+dfrgkTx44Zby2t7XtBphw6dFBOlp6QgwfzrVmDnvWp98XneANB3jkC8jgCUSJQVFQks2bNsmqjP4iZPHlylNSMaiCAAAJmCBDkmdFP1BIBBBBAAIGYENCw7cCBA7Jnzx7ZvXt3TVjn2ThnWOeGIE9nw+nMt6tHXVNrrzoN+HzNetNn3nn39bNm3Onn7VlzzkMx1NjeI08Durkfvid783bLlEl3y8ZNG2odXjHt73+QkSNGS8cOna39+G6+cYp8tGS+aNC4dPliOb9Hbzl8uEj25u06a2+9UA1UgrxQyfJeBMIv8NJLL0llZaVV8C233CItWrQIfyUoEQEEEDBUgCDP0I6j2ggggAACCJgioDPrNLzbt2+fFeCVl5fXW3VvQZ6vmXiNGjWSNm3aWP8obJHQ1sgZebo8Vme86eXrxFobTfek0/DtJz+7S9q2SZcrLr9KHn/qFz5N7T3s9u3fW2tWns7WS01tXfM5z2W4vmb82ctytcBhl4wI26EXBHn1fttwAwLGCOTm5lozsfXKyMiQVq1aGVN3KooAAghEWoAgL9I9QPkIIIAAAgjEoIDun7Zt2zbZvn27HDxYHVD5upo0aSIpKSnSsmVL61f90NBP/6Gnl1sOu7D3yLNPj9UgTWfDffnVZ6Iz6G6/9Qc1hDpjbmD/wfLOuzPP2qPO2153Gr7pvQ/8+JeS2qq12KGevvCvL7xmLeG1D8LQQy/08jwV1w4E9WueJ9+GYwgT5IVDmTIQQAABBBBAINoFCPKivYeoHwIIIIAAAgYJFBQU1AR4ZWVlXmuus+fS09OlXbt20rZtW9HTZz0v52EXnl/zPK3W/rrpp9Z6BnnOsO7KEd+VEyeO+7Xs1luQp0aep9bqjLzMCwdYoZwusXUeiqF76j039Wl55snnJTk52brnhgm3WbPv7Pd07tTVOvTCc/luqIYrQV6oZHkvAggggAACCJgkQJBnUm9RVwQQQAABBKJUwJ59p/veeV56KqEGdhrg6a+6uXl9l7cgz1eAF2tBnn1qrQZnuhedvUfekqULZPeenTV72fnaP89XkKdO+w/kSYf2nWoOw+h7QT9rRl6PjF5ndYln8Kcz9XQprX2Ihu6P52svvvr6tyFfJ8hriBrPIIAAAggggECsCRDkxVqP0h4EEEAAAQTCKKCny+bk5FinzDovncXVo0cP60Nn3wV6OYO8+gK8WAry9ARf3SPPOfvNediFvT/dgz95xJoZ5/za1D88Yy2H9RXOOYM5DeX0Hb4ufdfcD9+vFfJp2fp558w9e8luOGbmEeQF+l3E/QhERmD/MZH754oUl55d/sS+IvdfHJl6USoCCCAQKwIEebHSk7QDAQQQQACBMAt4mzWnoZ0d4GmY19BL371lyxbJzMy0Pvy5TF9a608b3XwPQZ6be5+2myowd4vIe5tEpo4WadHE1FZQbwQQQCC6BAjyoqs/qA0CCCCAAAJGCMyZM6fWLDydNTd06FDp3r17UOq/YcMGvwM8u0CCvKDQR+1LCPKitmuoGAI+BQjyGBwIIIBA8AUI8oJvyhsRQAABBBCIWQE9gfb999+v1b6OHTvK8OHDpUWLFhFtN0FeRPlDXrgGeS3OS5RBgwaFvCwKQACB4Ah4Bnl/+kIkt1CktELkcKnIPdki09eKPPtdkQ4tRI6dEnlwvsj4C0TG/nvrzl8sFPlqX3V9eqQyuy84PcNbEEDAZAGCPJN7j7ojgAACCCAQRoFjx47JG2+8UatEXfaqM/Gi4VqzZo0c2V8mPXv0C2t1Dh7Kl/ikRElv2y6s5bqtsNxtayQltYkMHDjQbU2nvQgYK+AtyNPPPXWlSHZHkVX7RKau9B3kafCnl72vnv55T4nIb682loSKI4AAAucsQJB3zoS8AAEEEEAAgdgXKC0tlZkzZ0plZWVNYydOnCitW7eOmsbv2LFDvs7ZLFkXXh7WOh0qKpC4xgkEeSFW/2rtR3JhZh/JyMgIcUm8HgEEgiXgLchzBnF1BXnDu1bPztt+uHZtmJUXrN7hPQggYKoAQZ6pPUe9EUAAAQQQCJNAeXm56J54hw4dqilx0qRJci6HWYSi6hUVFTL95RkybNAYado0fMt8C4sPiiTGE+SFolP//c4TJ4/KspVzZPLkSZKYmBjCkng1AggEUyAYQZ5zmW0w68a7EEAAAVMFCPJM7TnqjQACCCCAQBgEqqqqZNGiRbJr166a0q655hrp1KlTGEoPvAhdXrt3+4GwzcqLi4+TQyXVASdLawPvL3+f0Nl4nbu0Z1mtv2Dch0CUCNQX5O0/JnL/XJEfZFXviaf3P7dC5OeXVv9Zl9Kuzf92Xzz9ul72/nlR0kyqgQACCIRVgCAvrNwUhgACCCCAgFkCGox99dVXNZUeMmSI9OsX3j3oAhX7ePESOX6kVPpkZIV0Zp6GeHGN4uVgYQFBXqCd5Of9OhNv45avpHnzZLly5Ag/n+I2BBCIFoH6gjytp4Z1szZW1/jCttUHYfg67GJwR/bHi5a+pR4IIBA5AYK8yNlTMgIIIIAAAlEtcObMGXn33XeluLjYqmfPnj1lxAgzwhQNINesWitprdKlRXIrEYkLmnVcgojEi0hC9TuLDhdav7ZOTQtaGbyoSo4ePyyFRQUycOAAZuIxIBBAAAEEEEAAgX8LEOQxFBBAAAEEEEDAq8DmzZtl2bJl1tcSEhLk+uuvj6rDLerrNt0zb8+ePVJSUiIaSnJFj0BcXN3Banx8vKSkpEiXLl3YEy96uo2aIIAAAggggEAUCBDkRUEnUAUEEEAAAQSiUUAPuNi/f79VNV1Oq8tquRBAAAEEEEAAAQQQQCByAgR5kbOnZAQQQAABBKJWIC8vT+bNm2fVLykpyZqN17Jly6itLxVDAAEEEEAAAQQQQMANAgR5buhl2ogAAggggECAAqtWrZKcnBzrqaysLMnOzg7wDdyOAAIIIICAfwJbtmyRY8eOWTd3795dUlNT/XuQuxBAAAEXChDkubDTaTICCCCAAAL1CTiX1V599dXSrVu3+h7h6wgggAACCDRI4IsvvpB169ZZz2ZmZsrQoUMb9B4eQgABBNwgQJDnhl6mjQgggAACCAQgUFlZKf/4xz9Ef9Vr0qRJkpycHMAbuBUBBBBAAAH/BXbs2CGLFy+2HkhPT5dx48b5/zB3IoAAAi4TIMhzWYfTXAQQQAABBOoT2Ldvn8ydO9e6TZc33XDDDfU9wtcRQAABBBBosIAuq33jjTes5/XU6rvuuqvB7+JBBBBAINYFCPJivYdpHwIIIIAAAgEKOPfH6927t1x++eUBvoHbEUAAAQQQCExg+vTpUlZWZj00ceJEad26dWAv4G4EEEDAJQIEeS7paJqJAAIIIICAvwKffvqpbNy40bp9yJAh0q9fP38f5T4EEEAAAQQaJPDhhx/K3r17rWeHDx8uffr0adB7eAgBBBCIdQGCvFjvYdqHAAIIIIBAgAKLFi2SnTt3Wk9deeWVcv755wf4Bm5HAAEEEEAgMAHnbHAOvAjMjrsRQMBdAgR57upvWosAAggggEC9Av/6178kPz/fum/s2LHSsWPHep/hBgQQQAABBM5FQH+ApD9I0isjI0NGjRp1Lq/jWQQQQCBmBQjyYrZraRgCCCCAAAINE/jnP/8pR44csR6+8cYbpVWrVg17EU8hgAACCCDgp0BJSYm89dZb1t2cXOsnGrchgIArBQjyXNntNBoBBBBAAAHfAq+++qqcOnXKumHKlCnSpEkTuBBAAAEEEAi5wN///nc5c+aMNGvWTG677baQl0cBCCCAgIkCBHkm9hp1RgABBBBAIIQCL730klRWVlol3HXXXRIfHx/C0ng1AggggAAC1QLvvfeeHDp0yPr93XffDQsCCCCAgBcBgjyGBQIIIIAAAgjUEpg+fbqUlZVZn5s8ebIkJSUhhAACCCCAQMgFnCfX8t+fkHNTAAIIGCpAkGdox1FtBBBAAAEEQiXw5ptvytGjR63X33zzzdKyZctQFcV7EUAAAQQQqBFwnprOHq0MDAQQQMC7AEEeIwMBBBBAAAEEagk4lzaNHz9e2rRpgxACCCCAAAIhF1iyZIls3brVKufaa6+VDh06hLxMCkAAAQRMEyDIM63HqC8CCCCAAAIhFpg3b57k5eVZpVxzzTXSqVOnEJfI6xFAAAEEEBD59NNPZePGjRbFqFGjJCMjAxYEEEAAAQ8BgjyGBAIIIIAAAgjUEnDOiLjiiiukV69eCCGAAAIIIBBygc8//1zWr19vlTNs2DDp27dvyMukAAQQQMA0AYI803qM+iKAAAIIIBBiAec/pC6++GLp379/iEvk9QgggAACCIisWrVKcnJyLIqsrCzJzs6GBQEEEEDAQ4AgjyGBAAIIIIAAAggggAACCCAQcYHly5fLpk2brHqMGDFCevbsGfE6UQEEEEAg2gQI8qKtR6gPAggggAACCCCAAAIIIOBCgfnz58uePXuslo8bN07S09NdqECTEUAAgboFCPIYIQgggAACCCCAAAIIIIAAAhEXmDVrlhQVFVn1mDRpkiQnJ0e8TlQAAQQQiDYBgrxo6xHqgwACCCCAQAQE/vSFyJ4Skd9eLeL8fQSqQpEIIIAAAi4VmD59upSVlUmjRo3kzjvvdKkCzUYAAQTqFiDIY4QggAACCCBgoMCqfSK//ljk/otFxgbhUFmCPAMHAVVGAAEEYkjg1KlT8uqrr1otSk1NlRtuuCGGWkdTEEAAgeAJEOQFz5I3IYAAAgggEDYBDd4+2yvStJHI1NEiLZpUF33slMiD80XGX/BtwDd3i8h7m2rfV1dFz2VGnrfyw4ZCQQgggAACxgps27ZNPv74Y6v+F154oVxyySXGtoWKI4AAAqEUIMgLpS7vRgABBBBAIAQCGpY9slhkdE+R19eLPDhUJLsjQV4IqHklAggggECYBJYuXSq5ublWadddd520a9cuTCVTDAIIIGCWAEGeWf1FbRFAAAEEEBDnDLunllaD6N52+4+J3D9XpLi0+nOtkkUu7igyf9u3aBP7igzpJDJ1pUjP1iJLd4n8/FKRncVn75GnT321r/pZfU6X8XqbcWfP4Pvp0LPL/9NYkf1Hq5cBl1VUv0vL0+XA9ru2H65dBl2MAAIIIOAugaqqKpk5c6acPHlSWrZsKTfffLO7AGgtAgggEIAAQV4AWNyKAAIIIIBANAj8YqFIl5TqYE1Dvb/niGhg1qGFf0tr7f31NEzTd+jluUferI3fBm52QPiDLJHhXc9euut81jPo02cf/VjkySur66d/fmhB9SzCz/O+DQ+jwZU6IBBugYqKCtmzZ4+UlJRIZWWl38Vr6MGFQF0CCQkJkpKSIl26dJHExMSox9q1a5csXLjQqmdmZqYMHTo06utMBRFAAIFICRDkRUqechFAAAEEEGiAgDNU0yDO88/+7JGnQZ7OyHv2u9Xhmrcgzz7B1q6ihnV6TRkQWJCnQeNzK85uqM7KS29WPVOvY0v/9+9rABmPIBCVAmvWrJG1q3KkXYvGktr4jMRJEMO5eBGJr5K4BP+bHuf/rdxpgEClxElRWYLkl5TLgIFZMnDgwKittR5y8e6778qxY8esOo4ZM0Y6d+4ctfWlYggggECkBQjyIt0DlI8AAggggEAAAhqo6Ww5z6tHanUYpld9h100JMizZwE2JMir76ANO+wb3LF6iTAXArEusGTRQikrKpDB7UVaNgldhKZBXnxileQfPmKRtk87L9ZpaZ+HQElZlTX7OSmlnYwYFZ1/wc6fP9+amapX79695fLLL6cfEUAAAQTqECDIY3gggAACCCBgiIA92y41uXbgpcHc/10m8t/DRXqnBSfI03DtqSurD9Fwvl//rKGeXs59+c5Prf6zt6W1um+fLsu198X7y1ciPxws8uFWkWFdq2cFBnqyriFdRjUROEtAZ+Ll534tI7uFLsBzFqph3sGjxQR5Lh+LC7ZVSbuMzKibmffNN9/IihXV07aTkpJk3Lhx1pJgLgQQQAAB3wIEeYwOBBBAAAEEDBHwDNSc1XaGa/asPT3sQvfO08s+BMN52EVdS2tzC0VKK0TsgyjsAyr0XfYee3p4hZbRL13kZPm34aJn+c7DLpISvw0InYdzOD9vSHdQTQQCFtA98Wa8/Kp8r1fjkM7E86xYQUmxxCcyIy/gDouhB3Rm3vvflMukyVOias+8adOm1ShffPHF0r9//xhSpykIIIBAaAQI8kLjylsRQAABBBBAAAEEEKglsGPHDsn9cqDWEgoAACAASURBVEXYZuPZhecXH5GExlUsrXX5eNRZeb0HDpOMjIyISxQXF8vbb79dU4927drJddddF/F6UQEEEEDABAGCPBN6iToigAACCCCAAAIIGC+gy2pP71wnAzuE9xTR/MIjkpBMkGf8ADrHBqzKq5BGHQZEfHnt9u3b5aOPPqppTXx8vFx11VXStWvXc2whjyOAAALuECDIc0c/00oEEEAAAQQQQACBCAusXr1azuxeLwM6NAprTQjywsodtYXl5JWLpPeT7OzsiNVx1apVkpOTU1N+s2bNZMSIEdKhQ4eI1YmCEUAAAdMECPJM6zHqiwACCCCAAAIIIBBxgQ0bNkhmZmZA9dAQo3LPBoK8gNS4OVgCkQzydu7cKbm5uTWn02qb0tLS5IorrpDU1NRgNZH3IIAAAq4QIMhzRTfTSAQQQAABBAIX0KVPugRKL50x0bNnz8BfwhMIxKiAhnJbtmyxwjx/Az2CvBgdDIY0KxJBnv43ZPPmzbJv375aSp06dZLLL79cdEYeFwIIIIBAYAIEeYF5cTcCCCCAAAKuEVi5cqXorCO9hgwZIv369XNN22koAvUJOJcINm/e3K9AjyCvPlW+HkqBcAZ5OvtOA7yCgoJaTdL98Hr37i2XXHKJJCQkhLK5vBsBBBCIWQGCvJjtWhqGAAIIIIDAuQmsW7dOvvjiC+slGuJpmMeFAALVAp57fenn6gv09JmqPRukv6F75D09bbY89udZVvuvviRTXvvND6V1SnMpKjkutz/8F/nV3dfLpQO+nbm7Yu1W2b3/kNx6zSWivx9+x1M+h88TP5ooIy7qK09Pe996b9OkxvKzZ2fKtHeWnPXMjGfutd7p7crddUAe+H8z5Pf/Z5L07ta+3uH6+rzPpGuHNrXqbT9Ueuq0zzo4X3z3DSPkdw/dJslNGtdbXiRvCGWQd+LECdm7d68cOHDA+jh+/HitpjZq1MgK8Pr06cNS2kgOAspGAIGYECDIi4lupBEIIIAAAggEX0CXDX7yySfWi3VZrS6v5UIAgWoBb0GebeMr0DM9yLPbp8HdX976SP5ryhgrvNKAL711S8nZtEtuv3ZYrVBMv6YBnTPg0/dogKaXZyCn7/7xb6bLL+68VuYsXSM/vGmkFRbalzMc1M85w8W6xqYGhb+6e9xZt9QV5Hl7n2f5nvc4A8v+vbrIG7+9ryZQtAPPhZ9tEM+vheP7KthBns6227Nnj7Vs9uDBg16bkJycLL169bICvJSUlHA0kzIQQACBmBcgyIv5LqaBCCCAAAIINEwgLy9P5s2bZz2s+xldc801DXsRTyEQgwLOIK+qqkri4uLOaqVnoGd6kGcHeHeMu0xemb3cCtl+9ce35bKs3lYgZ89gs/+sIPq51+askNuvvbTWjDVfQZ6NWNdsOOeMPGdQ+Pxr82XMsP41wZk/IZ0/9zg7tq4gzzPg1Hs9ZxjaNs6vOYPKUH6rBBLknT592ppVpzPtPH89duyY9fkzZ874rG67du2sk2g1wNPvAy4EEEAAgeAJEOQFz5I3IYAAAgggEFMChw4dkvfee89qU5s2bWT8+PEx1T4ag8C5CHgL8nwFek2aNBENNjQcaVdeaOzSWl22+uGn66yw7O2FX8q+g4fPmoGnphqOLc/JrXO5qbcgT0O5jE5takLB/331Q79m5H2zPU/+uaB6GwBfl4Z/O/IO1SwNrq/vfS3frW9GnvO99uzCx+6t/rvziRffkz8+PNmaYWgHlZ4zGOur17l8XYO8LSVJ0rJlS9Gxqh8axlVWVlq/VlRUSHl5ufWhnwvk0jGuwV3Hjh2tH/xoGVwIIIAAAqERIMgLjStvRQABBBBAwHiBo0ePyptvvmm1Q/9RdvPNNxvfJhqAwLkI6MykI0eOWB9bt24VDbv18gzwfAV6em/HZvFyVY+kc6lGwM/mFx6RhOQqaZ92XsDPOh9wBnka6P309tFe977TEGz8yOya/eXsUMx+Xp/zNSNPP6+Bmy7b9WePvHOdkedr6a+/++PZPt72yXPOutu884As+XJjreW9zuDynDrGz4c1yFudV+519qg/r9BZpzq29dLgTpfKtm/f3gruNMDjQgABBBAIjwBBXnicKQUBBBBAAAHjBMrKymT69OlWvZOSkmTy5MnGtYEKI3AuAiUlJdbeX7oPmC41P3XqVM3rnGGdW4I8zwMr6jp0woZyzmDzDPImPfKidZu3/eI0SPNnRp5zOa23/fKWvfJrrwdZaLl2WNexbarX/fO8jR1/Z+RpW2/5xQvyx0emWOXbAaVznz7Tgjz1aNq0qbRu3dr6aNWqlbRt25a9787lLxmeRQABBBogQJDXADQeQQABBBBAwA0CurTqpZdespoaHx8vd911lxuaTRtdLKDLC3ft2mWFd/v375eioiKfGt6CPF8z8RITEyUtLc2azdThzGFjl9Y6MTSYapvaUj5fv12ce+bpPc6DMOoK8vRez8Mu9H7PmWt1DUnPffECGb52Wc2bNqm1t15d7/AnyFOb516ZV+ugC2/tikSQp0tr7T3r9O94e1mtjn3n8lp/l9bqLL0uXbpI586drV/ZDy+QEci9CCCAQMMECPIa5sZTCCCAAAIIxLyAzj569dVXrXbqMqopU6bEfJtpoDsFdOadLpXdvn276O+9XY0bN7ZCihYtWli/6vJaPa1TL7ccdqFt1fDp3cVfyVVDL5TrRgyS3fsPSdcObazwTU+n1T87Azo7+DpZdlouyOgoX3293VqS62tprb3UVd8x/I6nvPbF1Zdkymu/+aE0TWosj//5Xbl0YC/r13Vb9ni939usPM/96+ylwvV9B9QX5Gn99fI8IVefe23OpzX7BkZqjzxJ7yfZ2dn1NVN0Rvbhw4etce78VT/v69LA2g70NNTTE2u5EEAAAQSCL0CQF3xT3ogAAggggEBMCBQXF8vbb79tteW8886T//iP/4iJdtEIBGwBDeK2bdtmfXg7gTM1NVW6d+8uGRkZ1jJC5+U87MJT1PO0WvvrJp9a6xk8OQM3O8T715LV0qJZcq0DKuzluLoMd1Df7tZhGb6CPC1DA7nvj79cCo8ct0JB+5lJ3xtmzfTT2X//92+z5ekf32ix2rP/9Pf2s727tfd6gq7dDxri3f7wX+RXd19fs+zW29JXb98pdQV5upzWeaCF83lPP89gLxzflYGcWuurPs6AT2et7tixw+utGnxrmNe7d2/2zwtH51IGAgi4SoAgz1XdTWMRQAABBBDwX0BDjrlz51oP6Imb1113nf8PcycCUS6wbNky2bx581m11PBOA4hu3bpZ+3/5urwFeb4CvFgI8jwdvB0S4S3kci4fre+wC/36P95bKo//aILkbNpdb5C3YMV662AMe/ab84AKb/vuaRvsYNHbLD2t64q1W6zZfnqybKBBnucegvbzdln2vnk6c9CeVeirnFB8+wQjyPOslwbgu3fvtgI9X6FeZmamDBgwgBl6oehU3okAAq4UIMhzZbfTaAQQQAABBOoX0FlKH3/8sXWjzkq66qqr6n+IOxCIcgFdKrho0SLRGafOS0/dvPDCC6Vr165+tcAZ5NUX4MVKkOcMyvSU1qwLusm9T73s1euJH030GrD5wtX3XZzZQ/IKiiWjUxuxD8Lwdb/O2uvQppXcNvYSeeD/zZCFn22wbrVDM3vWnf15rY9e+w4erlne6u3ddtg2YdRgn/Wv6wANvwZPhG6yTqz1c2ltQ6pYWlpqhXr2h/MdesKthnk6Q48LAQQQQODcBAjyzs2PpxFAAAEEEIhZgfXr18vnn39uta9v374ybNiwmG0rDXOHgDOctlusp29qgBdowKBB3pYtW0RnG+mHP5fJS2v9aR/3RLdAqIM8Z+vz8/Nl3bp1VqjnvPSHQhrotWnTJrqxqB0CCCAQxQIEeVHcOVQNAQQQQACBSAosX75cNm3aZFUhKyvLrw3SI1lfykagLoHc3FxZunRpzS3NmjWzAjz9SEhICBhvw4YNfgd49ssJ8gJm5oEgCoQzyLOrrd93a9eurXWIjH6/9e/fn/+mBLFveRUCCLhLgCDPXf1NaxFAAAEEEPBbYNasWVJUVGTdr/vj6T55XAiYKKAb9E+fPr2m6nry7OjRo886wCLUbSPIC7Uw769LQIO8+Hb9ZdCgQWGF0u8/nZ2nH86LHxCFtRsoDAEEYkiAIC+GOpOmIIAAAgggECwBZ/ChsyfuvPNOiY+PD9breQ8CYRXQmXg6M0iv5ORkufrqqyU9PT2sddDC1qxZI6d3rpOBHRLDWnZ+4RFJSK6S9mnnhbVcCosugVV5FdKowwAZOHBgRCrmbbktYV5EuoJCEUDAcAGCPMM7kOojgAACCCAQCoE9e/bI/PnzrVfrCZ46e4kLARMFvvnmG1mxYoVV9cTERCvE69SpU0Saoqd65n65QkZ2iwtr+fnFRyShMUFeWNGjsLAF26qk98BhkpGREdHaLV68uNYJt4R5Ee0OCkcAAQMFCPIM7DSqjAACCCCAQKgFnCdyZmdnW3vkcSFgosCbb74pR48etao+atSoiIYYFRUVMuPlV+V7vRpLyybhC/MKSoolPlGYkWfiAA5SnUvKquT9b8pl0uQpVqAd6YswL9I9QPkIIGCyAEGeyb1H3RFAAAEEEAiBgIYe77//vujyWr3GjBkjnTt3DkFJvBKB0AroiZkLFiywCtF98W655ZbQFujH23V5bX7u12GblReXIHLwaLFVM5bW+tFBMXqLzsZrl5EZsWW13lgJ82J0sNEsBBAIuYArgzz9aaguGSopKZHKyso6kauqqkLeCRTgv4Du05SSkmIt84qGnyb6X3PuRAABBMwR+Pzzz2X9+vVWhTt06CDXXnutOZWnpgg4BJYtWyabN2+2PtOnTx8ZPnx4VPgsWbRQyooKZHB7CenMPA3x4hOrJP/wEYK8qOj58FdCZ+J9nieSlNJORoy6OvwVqKdEZ5in+7DqwUpt27aNunpSIQQQQCCaBFwX5OlPQdesWi2tU05L86TjIlIRtP6I0z3A46tEEv4d/oVvxUTQ2hD1L6pKlGMnW0hRcRMZOHBQVP1UMertqGBUCfADhajqjoAqE+s/UNBTanU23pkzZywXDT40AOFCwESBGTNmSGlpqVX1a665JmJ743mz0/8nXbsqR9q1aCypjc9IvATxh8f//n9SDfL0KjxcYv2alppiYjcaWecg9maD2l8lcVJUliD5JeUyYGBWVP8/8wcffCAHDhyw2tmtWzdrH0suBBBAAAHfAq4K8j5ePF+OHd4hPbvslabJp0I2LjTQi2t0Rg4VnbDKaNumWcjKcuuLT5Q2kdwdXaVFyx5y5Ug2YHfrODC13Z7/eIsL4T/e+HlC8EdJpUH/OGpI6z/++GPZtm2b9WirVq1kwoQJouElFwKmCezfv1/mzJljVTspKUkmT54cdU1w/lDHDs+jrpJUKGoE4uL8/6+6zm4zZRVLXl6ezJs3r8b5sssukwsuuCBq3KkIAgggEG0Crgny9B/Oe7aulP69q/9xEupLw7zCf2+sTJAXOu2cb3pJl26XRPVPGUPXet5sogDLqUzsNe91jvblSg2R/uyzz+Trr7+ueXTw4MH8/doQSJ6JCgHnyct6Sq3OyONCAIHoFFi5cqVs2LDBqlzz5s2tJbb6KxcCCCCAwNkCrgjy9Ked019+RYZkbg/pTDxP3sIjxyQusYoZeSH8ztOZeZ+t7iWTJ9/BnnkhdObVwRFgg/PgOEbbW6JxA/GGGH3zzTeyYsWKmkd1bzwNPnRWBxcCJgps375dPvroI6vqGRkZ1om1XAggEJ0Cp06dEl1ie/jwYauCOiNPZ+ZxIYAAAgi4NMjbsWOHbFg1P2yz8WxmXVob3+QMQV6Iv/N0Vl5m/zHW/6RzIRCtAvoDhRkvvyrf69U4pBube7a/oKRY4hM5qTCU40Jn5r3/TblMmjzF2B8o6Cm1b775Zg1Ty5YtZfz48dKkSZNQ0vFuBEIqsGnTJlm+fLlVRjQddBHSRvNyBAwWcIbv2gxOTDe4M6k6AgiEVMAVM/J0FszhvYukR9f8kGJ6vvxg4QlJSCLICzX61p3tpVXb77L8K9TQvP+cBPQHCrlfrpCR3fzf3+acCvz3w/nFRyShcZW0TzsvGK/jHT4EdFZe74HDjPyBwvHjx+X111+vaZnuwXTTTTeJhnlcCJgsoCcv6wnMevXr10+GDBlicnOoOwKuEFi6dKnk5uZabf3Od74jl156qSvaTSMRQACBQARcEeStXr1ajuxbID26FgZic873EuSdM6FfL9i6q420TB0t2dnZft3PTQhEQkB/oHB65zoZ2CExrMXnFx6RhGSCvFCjr8qrkEYdBhj3AwU91EIPt3BeerhFWlpaqMl4PwIhF1i1apXk5OQQ5IVcmgIQCJ6Ac29L/YHSzTffHLyX8yYEEEAgRgRcEeTp/8iV7F9IkBcjg9azGQR5MdqxMdYs/YHCmd3rZUCHRmFtGUFeeLhz8spF0vsZ8wOFsrIy0f82bty4kRAvPEOEUiIgsGvXLlm4cKFVcseOHWXs2LERqAVFIoBAIAKVlZXWVg86W1wvltcGose9CCDgFgGCvBD2NDPyQojreDVBXnic3VCKnpaWmZkZkqZqaFK5ZwNBXkh0I/9Sk4I8DTd0PNobiqsem4pHfgxRg+ALOPd+1P0ep0yZEvxCeCMCCARdYNmyZbJ582brvSyvDTovL0QAgRgQIMgLYScS5IUO9+ixJCk80lzOVMRJ0ZGm0iT5fNETFhs1amT91J1lYaGzj+U3a7ixZcsWK8wLdqBHkBfLI0ck2oO80tJS0U3E9aOgoKBWZ4wcOVJ69OgR2x1E61wr8PLLL0t5ebnV/ltvvVWaN2/uWgsajoApArqv8OLFi63qsrzWlF6jngggEE4B9wR5BxZKjy7u2CNv+85iWbJ0l9x1x8CasVRWViFP/GaZrFmbLy88P0Z6dG911jh774Nc2bO3RB740UXhHIMBl7Vjb5rs3Nte0tPbS7wex+m4qqqqrH+kDhgwQPr37x/wu2Phgf3HRO6fK1JcenZrJvYVuf/iWGhlaNrg3E9J/7EXzEAvloK8FWu3yu79h+TWay4JTUcY+NZoDfL070M7wNMwz3l16tTJ2vw/NTXVQHGqjIB/ArNnz64Jr6+++mrp1q2bfw9yFwIIREzg9OnT1vJa3QZCL10Wrz+o50IAAQQQqBYgyAvhSIjUjLxVOQdk776jMv57va3WaUD315dWWwFeaqtk+cl/LZAH7rtIsrPan9V6vVcv+9kQ8jTo1ToT76sNPWXQoItFl8l4u06dOmVtbq3/0Xf7zLy5W0Te2yQydbRIC+9cDeqHWH3IGeTZbQxWoKfvrtqzQfpHwR55GsQ9Pe19ee03P5TNOw/UhHKlp07L/776ofzwppHSOqW5vD7vM+naoY1cOqCn6DPD73iqzq5f9sqvrXv10vt//Myr8sZv75Pe3drL86/NlzHD+lu/Lyo5Lj/+zXR57N7x1p99vfvuG0bIxFGD5fP12+W/poypVTd9ZsmXG+VXd4/zazh6ho/a1sf//K58f/zlVh3O9YqWIE/DOg3vDh06ZH3k5eWd1bSuXbtaM/DOP//8c202zyMQ9QLLly+XTZs2WfXMysoyZh/LqIelggiEWGDRokWyc+dOqxT9oZOePM2FAAIIIFAtQJAXwpEQ7iDPnnU3882va7Xqe9f0kg/mban53OXDukqnTi2sPz/28HBJSvp2Vpu+43d//FxuuuE7XmfthZDLr1frbLyTp7OkR4/qsMDXpVPy27dv79pZebYLQZ5fw6rmJm9Bnv3Fcw30oinI0zY5w7TVG3dagV3WBV1rwrLC4mPyj/eWyuM/miDJTRpbYVtdwdnT02bLiIv61gR5WoYGgctzcuV3D90mf337YyvIS2vVQm5/+C8yYWS2TBg12AoM7fr86o9vy9M/vtEKF+2y7HLrCvK0nEmPvHhWZ/fv1aUmSPQM8jzDQ+e9gY2a6rsjFeQdO3ZM8vPz5cCBA1ZwV1RU5LX6SUlJNeFdenp6Q5rIMwgYKaAzUj/66COr7m3btpXrr7/eyHZQaQTcJuD8f7JevXrJFVdc4TYC2osAAgj4FCDIC+HgCHeQp02xg7h9+4/Lz35yccBhXPGRMmvGXvag9lG5xHbrzjZSLoOle/fudfac/gRPZ+bpvnmRuuLj4yUuLk70V+fv/f2cr3q3aNFC9MOfyzPI+9MXIrmFIqUVIodLRe7JFpm+VuTZ74p0aCFy7JTIg/NFxl8gMrZXdQm/WCjy1b7q3/dIje3Zfc7/adRl2tpXnldDA71oC/Kc7bJn4t0x7jJ5ZfZysX+1Z+bpvYHOyPN0c87I8zZ2NVhsaJBnv08DPb10ya894+7WsZfIi//8SKa9s8T62hM/mmjNOHzvo1Vy14TqfxTUF1L6870WyiBP/y4rKSkR3bj/yJEj1q/6oZ/Tr9V1aXBhz75LTk72pyncg0BMCej+eLpPnn3dfvvt0rRp05hqI41BIBYFnPvk6QqbCRMmxGIzaRMCCCDQIAGCvAax+fdQJII83R9vzodb5cSJ09asuvVfH5QHfr7AqvBtN19YMwNPl9B27tjyrOW1uix34UfbrfujcVZeIEGenszoLYjxr/ei965BgwaJfvhzeQvy9HNPXSmS3VFk1T6RqSt9B3ka/Oll76unf95TIvLbq72XrgdF6Ed917mEnPW9O5Cv6/iwAzv9VWc16Ydezs97G0eNGze2Znfo7CZ/+iOagjydPZfRqc1Ze9x5Lq11WtYXdjln5OnvH/vzLL+64u9P3CVfbNheE7R5PqTBm17OGXl/eeujWu+3Z9PpzEK9nEGevXTWOSPvpXc/kfEjs63ZgBog6vv0/TrzsKFXIEHenDlzasaYPdbsX3Xc2R8VFRVy8uRJ0b2C/L0SExOtfYT0Q3+Qwf53/spxXywLLFiwQHbv3m018corr2RZeSx3Nm2LGQGdcf7GG29Y7UlISJDvf//7Mfn/9THTYTQEAQTCKkCQF0LuSAR5GtCVniyXXXuO1AR52sQrLusq019fL1n920mhTsUSOSvIs5fmThx3gfX1FZ/vjbpZeQR5YoVG/gRH2ofegjxnEFdXkDe8a/XsvO2Ha3+T1DUrb/Xq1aIfpl7OWXieM/J8zdDTtg4dOrTeU26jKcjTOuvstR15h+TGqy+SW37xgqzbssdrt9n73jVkRp6GZLqMdtK1l1plabinwZy3fe1ydx2oWcqbs2l3QEtr7Yo79/Tz3APPDvJ0CbGvvf6uviTT2jfQXu4byDgOJMibNm1aIK+u916dJar73unhFZ07d7ZmAHMhgMC3ArpHnu6VpxdL9BgZCJgjMHPmTDlx4oRV4YkTJ0rr1q3NqTw1RQABBEIoQJAXQtxIBHm///OX8r+//9xqVd8+aTJ8WBd58aUc6886I++aq8/3GeTpbLxZszdZs/b0isa98gIJ8iK9tFYNNfyprKy0Puzf+/s5X0NT/xGiH/5cwQjynMts6yuTIM+3ULQFeXZNnQGa54w0z8Mu/NkjT/fZ+9mzM60Zds5gzH6XlusM0uxgzzlL0NvsP8/Zgt7ucc4K9Ha/ljvjmXutptuHeNhLfnXvPntpbzQFeZ6zRn2NsGbNmlmzQ9u1a2cd8qP/2GnUqFF937J8HQFXCOgy9Lfeestqq36v3HLLLQTeruh5Gmm6wIcffih79+61mjFixAjp2bPuPbJNby/1RwABBPwVIMjzV6oB90UiyNNqOg+s0KW1etU3I8/eG895mq0Ge9E2K4/DLgIbiPUFefuPidw/V+QHWdV74un9z60Q+fml1X/WpbRr87/dF0+/rpe9f55nbXQZhH7UdzmDzWCGnPWVW9/X9+/fbx0coJe/S2t1eW12dnZ9r5ZoC/Ls/eQG9e0eshl5TpS69sjzDOWcf7Zn9S38bIPoKbZ6cIavwzecZdhB3p3XD7dO6NVgUUM8XXbrDCgjEeR98MEHNftmOo10zNmXfl+cOXPGmolgz0aod5A5btAltjo2NdTTmXr6wYWAmwX0+87eOmH06NHSpUsXN3PQdgSMEHDuXTxw4EAZPHiwEfWmkggggECoBQjyQigcySDvid8sEz291nlibV0z8nQmX5fOKTL+e71rifj6fAjZ6nz10WNJ8tWGnjJo0MXSpEkTr/fqTLycnBwZO3as9Y9YN1/1BXlqo2HdrI3VShe2rT4Iw9dhF4M7+t4fLxac3XTYhT17Le285rVOp3X2ozPw8rd/NUCzZ+T584wdrnneW1/ZztNsH//zu3LdiEHy2pxPrVNv7b3vnDPs7KW1Wo63E27t8p1hoT/1t+8JZGltIO/VezXg0zDv+PHjNb/q7/VDZxrpARj1Xa1atbKCC/3QE725EHCbgPPvdz0AZuTIkW4joL0IGCfw9ddfy2efVR9k9Z3vfEcuvfRS49pAhRFAAIFQCBDkhUL13+8Md5Bn73GnAZ4uq33h+THWYRd62TPy7vl+liQlJYp92MWFfduIhn7t0pt73Q/PfudF2R3PCvlCSFfnq3VW3s697SU9vb3ExyfWulf/wVtQUCADBgyQ/v37R6qKlGuogPMfep5NaOhptfZ7omlGnvOE2MLiY/XOyOvTvb217PTBSWPknwu+sE591T9/sX67vPHb+6R3t/ZS1xJdDdGe+ut7kprSXP748GSve9D5c0CG54w8e4mu7uO3e/8hax8+e/89Zxs12HMedmH3iV2v//npzTKg97nNzgllkFfft5MehlFUVFTzUVhYaP3e16U/4NBAr1u3bq7/YUd9tnw9dgQ08J41a5Y101Wv8ePHS5s2bWKngbQEgRgU2Lp1qyxZUn3q/Pnnn28dVsOFAAIIICBCkBfCURDuIM9uiufS2k2bD8myT/fImO+e///buxNwq8ozT/QvMw6IIMqgIoKKGhFBjHFIDGqiK70xpgAAIABJREFUiVM5pEyi0VSlb7qmvl3pruS5VbdSQ1K3+t5KdaWqu0ZvJymjscrEaGKchxATh0RRUNAUOCMo86AgKCD9fIvasDmeAwc8+5y93/Nbz8MDHtb+1vf+3kUI//Ot9cVpHzg0LvnU97YFfWWH2/ZW4tWzNGOYV1bmLV+9b2ze1CdWrN47Bu11RLVDY3knVNmtsbevxGvgbZ166PaCvPca4DVjkFcfui14bcUuV+SVd+NNf/+xUQK99nZ4rX9M95u3PBB/8luXbHv8tYRttQDuzQ1vV5tflGNXm0rsakVebbOOEtyVX19320M7jNk2WGwb5JXgcNHSldWjuv/92jvb3cV3d272ngzy2pvn+vXrowR6CxYsqN4v9Prrr7/rtLIpxnHHHVf9KPe5g0B2gRIIlGCgHOW+P/XUU7OXrD4CLS1Q/g676667qhrKN6DKY/EOAgQIEBDkNfQe6Kkgr6FFNeHgZQOM/Q44t1PvKWvC6ZtSEwnUB3ldFeA1Y5BXH4K1DbzKf9d2sZ181NhtK+5KHR09Nlu/qUX9OR09plr/3rtfv/iM6BMR37jlgU7dCW3HLAFdeQdeCQbLUYLC8j69cpTHdi8+a9q2R33v/scvxffve6x6X15tN97aRYtJeeS2o111dzW5xxdujD4jj2/a/x0qYV5Hod7ee++9LdAr79ZzEMgqUP4clJfnl6O8nqPsginEztptdWUQKE/Z/PCHP6xKKRs6XXTRRRnKUgMBAgTes4AVee+ZsOMBBHkNxK0bWpDXPc694SolyJs/f35MmjSp+tGVRzM9WtuVdRlrq0CzB3n1fXr55ZfjmWee2bYTYO33hg8fHlOnTo3x48drK4G0Arfeeuu2TY3e//73V6/icBAg0JwCq1atiu9973vV5Pbff//41V/91eacqFkRIECgmwUEeQ0EF+Q1ELdNkDd0xMfixBNP7J4LukpagTlz5nR5gFfDEuSlvW1aLsirdeL555+Pp59+eluoUfv62WefLczLfbv26upKiP3ggw9WBmUTmMsuuyz69Cnrgh0ECDSbwJtvvhnXX399Na2yevzKK69stimaDwECBHpEoFcEebNmzYqVr9wbEw5b3K3Igrzu4X72xdEx7KBzomxL7yDQrAKCvGbtTNfMq6zI6ztqckt+Q2HevHnx1FNPRVn5IMzrmvvBKM0rsHHjxrjpppvijTfeqCb54Q9/OI466qjmnbCZEejFAmVzmm984xuVQL9+/eJzn/tcL9ZQOgECBLYL9Iog74UXXog5M++KyROf69beL1uxLvoO2hwHHbhPt163t13siaePikmTP2YFSW9rfIvVW76h8PaLT8aUMd37DrLFy1dHv722xOgR+7eYWGtNd+bCTTFgzAkt+w2FNWvWVDsDLl26dafzcliZ11r3oNl2XqD+fahlg6zzzjuv8x92JgEC3SYgyOs2ahciQKDFBHpFkLdp06b49rf+OT4w6fnYe6+3uq1Fy1e/EX36bxHkNVB83fpB8fDjR8VVV302vKS9gdCGfs8C5RsK8x59KM4a172PcC1etTr6DRTkvecG7mKAu5/bEhOnnN7S31AojzCVMG/RokXbqr3gggti9OjRjeYzPoFuFSjBdVmVV0KCcnz84x+PQw45pFvn4GIECOxa4K233oprr722OrFsUHP11Vfv+kPOIECAQC8Q6BVBXuljWQ2z4NlHum1VXp++Ectff726hazIa9yfpLIab+y4U1t2FUzjZIzcbALlGwrXfevauOCogbHfoO4L85asWRV9+4cVeQ28IdZs2BI/eHpjfOaqq1v+GwrlPr3//vujbIhRjhJulJDDQYAAAQIEultg7dq1ccMNN1SX3WeffeKKK67o7im4HgECBJpSoNcEeUX/x/fdFW+sfCGOHPtKQ1fmlRCvz4DNUR6tFeQ15r4vK/HmvXBYDNlvQpx51rmNuYhRCXSxQPmGwuJ5c7ttVV6ffhFLX9/63jOP1nZxM+uGK6vxRo2flOYbCuvWrYubb7451q9fX1V58sknx+TJkxsHaGQCBAgQINCOgF1r3RYECBBoX6BXBXmFoPxDetbMx+OAoW/HvoPXRvTZ1GX3Rgnwou+WiH5bqjFXrNz6IuUDhg/psmu0xEBby2/Q0T/eeHNIrFg1KKZMOTHNP5wbhGXYJhSYce89sWHFkjhpdDR0ZV4J8fr23xKLV66uFAR5XX8zlJV4P18YMXjoqJh+9ke7/gI9OOIvfvGLePLJJ6sZDBw4MMojtgcccEAPzsilCRAgQKC3CSxbtixuueWWquwRI0bEJZdc0tsI1EuAAIF2BXpdkFcUyqNDCxYsiPKOlNr7UdwfzSHQp8/OHzns27dvDB06NMaOHdvyj7A1h7hZ9IRA+YbC7JlPxKghA2P4wM3RN7ow/f73byiUIK8cy1eu2fp/gIcP7YlSe+yaXSj6rhq2RJ9YsaFfLF6zMU6YMjXlNxTK34/f//73q78vy3HiiSe25I68PXYDujABAgQIvGeBV199NW677bZqnFGjRsWFF174nsc0AAECBDII9MogL0Pj1ECAQGsL+IZC8/bPNxS29ubhhx+OuXPnVr8+6KCD4ld+5Veat2lm1msFvnRPxGP/vj/LSQdH/EWuxbG9tq8KJ1AEXnzxxbj33nsrjMMOOyzOOeccMAQIECAQEYI8twEBAgQIECDwLoHly5dX78qrHZ/85Cdjv/32I0WgaQRKiFeOWnj3rVkRkw6KmHZw00zRRAgQeA8C8+bNiwceeKAa4aijjooPf/jD72E0HyVAgEAeAUFenl6qhAABAgQIdKnAjTfeWL2GohynnnpqHHfccV06vsEI7KnAG29F/MF9EVefILjbU0OfI9DsAk899VT8/Oc/r6Y5adKkOOWUU5p9yuZHgACBbhEQ5HULs4sQIECAAIHWE7j77rvj5Zdfrib+vve9L0477bTWK8KM0wq0XZFXK7SEfF+4K+LiYyLOO2rrV//2FxEL1mxfvTdzUcSXfxyx4d/3PPu907ae29HXb58f8ZcPbR1rcP+Ir565NUCsP7/+6x75TXvbKawbBR577LFqo8JyTJ06NaZNm9aNV3cpAgQINK+AIK95e2NmBAgQIECgRwXqd689/PDD4yMf+UiPzsfFCdQLvPpGxO/cHrFqfUQtiCu/v6sgrxa+/c7J24O+8rmdff3a2RF/fnbEkEFbz/v6IxF/Mj3i/3twx8CwjFNCv1t+GfH1c7ee7yBAYM8EHnzwwXjmmWeqD1sVvmeGPkWAQE4BQV7OvqqKAAECBAi8Z4Fnn302ZsyYUY1jw4v3zGmABgnUAri9BkT87XkRQwbufEVe29V5tWnt7Ovf35olbDtqq+9+vjCi/N6lx0aUYLActYCx/LrMZ8yQBhVuWALJBe6///54/vnnqyqnT58eRx55ZPKKlUeAAIHOCQjyOufkLAIECBAg0OsEVq5cGTfddFNV9z777BNXXHFFrzNQcOsIlMdZxw7d+t68nT1auydBXv1jue2J1B6lrV8ZWAsYD97P6rzWuYvMtJkE7rzzznjllVeqKZ177rkxduzYZpqeuRAgQKDHBAR5PUbvwgQIECBAoPkFrrnmmm2T/PznP9/8EzbDXiFQVr390Y8jvnLm9hVvtSCvrIyrf39ebYXcEcO3viOvBGz/z08j/u8PbX/P3dqNEfsO6NzXy3jXPxnxmydF3PRMxK9N2Upeu/5xI7eOVXuHXnkM92vnWJnXK25MRRIgQIAAgW4QEOR1A7JLECBAgACBVhTYsGFDfPvb366mPnjw4LjqqqtasQxzTirQdmOKkw5ufzOLYXtFHD8y4s2N23+/fvOKCcO3r5jrzNfLeLVHZts7v3CXFYHPr9wKX79KL2krlEWAAAECBAh0o4AgrxuxXYoAAQIECLSSwJo1a+LGG2+spjx06NC4/PLLW2n65kqAAAECBAgQIEAgnYAgL11LFUSAAAECBLpGYPHixXHrrbdWg40aNSouvPDCrhnYKAQIECBAYBcCHb3PEhwBAgR6u4Agr7ffAeonQIAAAQIECBAgQIBAAwXeeGvHR87Lpeofa2/v0oK8BjbE0AQItLSAIK+l22fyBAgQIECAAAECBAgQaG6BWpB38TER5x3VubkK8jrn5CwCBHqfgCCv9/VcxQQIECBAgAABAjsRWL58edx8883bzrjgggti9OjRzAgQ2EMBQd4ewvkYAQIE2hEQ5LktCBAgQIBAcoEv3RMxdmjE75ycvFDlEehCgRkzZsSzzz5bjXj00UfHhz70oS4c3VAEepfAzoK8+t2f63eFrl+R1/bR3EuP3fp3Wtuv1+9e3buEVUuAQG8SEOT1pm6rlQABAgRaWuDVNyJ+5/aIVevfXUbtHzXtFSjIa+m2m3wPCSxcuDDuuOOO6ur9+vWLyy67rNq92UGAwO4LtPeOvBK6/e4pEdc/GfGl07eOWf/3VX2Q19FjtuX8M8Ztf1zX33e73xufIECg9QQEea3XMzMmQIAAAQJRVjDc8suIr58bMWTQzkG6+x82uzM3rSTQzAK33357LFq0qJri1KlTY9q0ac08XXMj0LQCO1uR19GquvrwbuaiiC//OOLg/bb/vdfRN7esymva28DECBDoIgFBXhdBGoYAAQIECHSnwO6EZYK87uyMa2USmD9/fvzkJz+pShoyZEi1Km/AgAGZSlQLgW4R6CjIK2Fd+fvsq2dGTDs4Yler8GqP4dZW833x7ogvnLL1sw4CBAj0FgFBXm/ptDoJECBAIJVA2yBvZ+8Jqg/ydnXeiL0j5q+IeH5lxIThEV88LeL379v6OG/9u4sKZhn3sa2Llapzy+rAa2dHfP+Z7dTlkd8PHBLx9Ucijjwg4oGXIv7DiVvP+dzU7Y9DldUW5ZyvnRMxZkiqVimmhQW2bNkSN910U6xataqq4vTTT49jjz22hSsydQI9I9BRkFf+HinHX3w0orbC7ojhW/+7PtT77tyI0w/b+vdD/d9/X31g++fLr741K2LSQYK9numyqxIg0F0CgrzuknYdAgQIECDQhQJtg7ydvSeoPsjb1XlzlmxdGTFxRMQX7opYuT7ib8/b+o+n+n9wlX9glaO2gUb9P7jazq32SNR5R7V/fhmnu1cNdmErDJVcYPbs2fHoo49WVY4aNSouvPDC5BUrj0DXC3QU5NX+ftiwaes3i44fGfHmxncHefWP0Q7uv30FX0ebYHR9BUYkQIBA8wgI8pqnF2ZCgAABAgQ6LVAflr3xdvubYNTeE1QLyS4pu/y1s1lG2/PaC+fKxGph3ZfP2BrylVV79UdtVd5PX97x/X3trbYr/yirPRI1Zr/tv/Z4VKdvASd2k8DatWvj+9//frz11lvVFT/2sY/FoYce2k1XdxkCBAgQIECAwI4Cgjx3BAECBAgQaEGBtkHezt4TVB/kdea8zgZ5Fx+z/dHYesL2VuS199hsbV6HD9v6yG15lMpBoBkFHn744Zg7d241tSOPPDKmT5/ejNM0JwIECBAgQKAXCAjyekGTlUiAAAEC+QTae7S2VFkLw+rfE9T20drOnFfOqX9ctu1/l9+bvXj77oFlPuUoj892NsgrK/X+cWbE+o0Rnz6+/VAwX+dU1IoCy5Yti1tuuaWaer9+/eLSSy+N/fffvxVLMWcCBAgQIECgxQUEeS3eQNMnQIAAgd4psKvNLsomE7WVdTvb7KKj83YV5JXfr9/sovZ4bvl6/buM6je7aLuRRe3dRuUzZaOMIYN6Zy9V3RoC999/fzz//PPVZKdOnRrTpk1rjYmbJQECBAgQIJBKQJCXqp2KIUCAAAECrSPQ0cvPW6cCM+1NAgsWLIi77rqrKnnkyJFx0UUX9aby1Uqg2wRWr14d3/3ud6vrDRkyJD71qU9127VdiAABAq0gIMhrhS6ZIwECBAgQSChQVhV+44ntu+ImLFFJiQQ2b94cN9xwQ6xfv76q6hOf+EQMGzYsUYVKIdAcAosXL45bb721msyBBx4YF198cXNMzCwIECDQJAKCvCZphGkQIECAAIHeIlBbibfo9Yivnhlhp9re0vnWr/O+++6LF154oSrk5JNPjsmTJ7d+USog0GQC9atfyw7RZadoBwECBAhsFxDkuRsIECBAgAABAgQIdELgmWeeiQcffLA6c8yYMXH++ed34lNOIUBgdwSeffbZmDFjRvWRCRMmxFlnnbU7H3cuAQIE0gsI8tK3WIEECBAgQGD3BB555JGYM2dO9aEPfOADcfzxx+/eAM4mkFRg3bp18Z3vfGdbdZ/97Gdj4MCBSatVFoGeEZg7d248/PDD1cWPPfbYOP3003tmIq5KgACBJhUQ5DVpY0yLAAECBAj0lED944Nnn312jB8/vqem4roEmk7g5ptvjuXLl1fzOvPMM+OII45oujmaEIFWFpg5c2Y88cQTVQlTpkyJk046qZXLMXcCBAh0uYAgr8tJDUiAAAECBFpboLxkvLxsvBwXXnhhjBo1qrULMnsCXShQHzIcc8wx8cEPfrALRzcUAQJWhbsHCBAgsHMBQZ47hAABAgQIENhB4MYbb4w1a9ZUX7v88stj6NChhAgQ+HeBl156Ke65557qv0aOHBkXXXQRGwIEulDgJz/5ScyfP78a8YwzzoiJEyd24eiGIkCAQOsLCPJav4cqIECAAAECXSrw7W9/OzZs2FCNedVVV8XgwYO7dHyDEWhlgbVr18YNN9xQlTBgwID4tV/7tVYux9wJNJ3A3XffHS+//HI1r4985CNx+OGHN90cTYgAAQI9KSDI60l91yZAgAABAk0ocM0112yb1ec///kmnKEpEehZgWuvvTbeeuutahKf/OQnY7/99uvZCbk6gUQC9a93KDtDlx2iHQQIECCwXUCQ524gQIAAAQIEdhAou3KW3TnL8YlPfCKGDRtGiACBOoHbb789Fi1aVH3lox/9aIwbN44PAQJdJFC/oczFF18cBx54YBeNbBgCBAjkEBDk5eijKggQIECAQJcJ/OAHP4ilS5dW49m1tstYDZRI4Oc//3k89dRTVUVTp06NadOmJapOKQR6VuC73/1urF69upqEbyb1bC9cnQCB5hQQ5DVnX8yKAAECBAj0mMC9994bL774opCixzrgws0uUB/kfeADH4jjjz++2adsfgRaRqB+VfinP/3p2HfffVtm7iZKgACB7hAQ5HWHsmsQIECAAIEWEnjooYfi6aefrmY8fvz4alWegwCB7QI//elP49/+7d+qL3zwgx+MY445Bg8BAl0kUP8OyquvvjoGDRrURSMbhgABAjkEBHk5+qgKAgQIECDQZQLPPPNMPPjgg9V4w4cPj8suu6zLxjYQgQwC9913X7zwwgtVKWeddVZMmDAhQ1lqINAUAt/4xjdi8+bN1Vw+97nPRb9+/ZpiXiZBgACBZhEQ5DVLJ8yDAAECBAg0iUDZ6KI82lQ7LrnkkhgxYkSTzM40CPS8wB133BELFy6sJnLuuefG2LFje35SZkAgiYAgL0kjlUGAQMMEBHkNozUwAQIECBBoXYHbbrstXn311aqA4447Lk499dSWK2bTpk2xYMGCWLNmTbzzzjs7nf+WLVtarr7MEy4rcIYOHVoFZP3792+6Uq+77rpYv359Na/zzz8/xowZ03RzNCECrSpw/fXXx5tvvllN/8orr4y99967VUsxbwIECDREQJDXEFaDEiBAgACB1haYPXt2PProo1URJUi59NJLq2ClVY5Zs2bF7JlPxKghA2P4wM3RJ7owqOsbEX23RJ9/f9qrT6ugtNA834k+sWJDv1i8ZmOcMGVqTJkypWlm/9prr8WPfvSjaj4lYChBg4MAga4TsGtt11kaiQCBnAKCvJx9VRUBAgQIEHhPAitWrKjCirfffrsaZ/LkyXHyySe/pzG768Mz7r0nNqxYEieNjthvUONithLk9e2/JRavXF2VNnrE/t1VYq+5zpoNW+LnCyMGDx0V08/+aFPU/Ytf/CKefPLJai5lt9qya62DAIGuE/jhD38YS5YsqQa86KKLYuTIkV03uJEIECCQQECQl6CJSiBAgAABAo0QKGFFCS3Ksddee0V5V94+++zTiEt12ZhlJd7ieXPjrHGNC/DqJ1vCvKWvr6q+JMjrsja+a6C7n9sSo8ZPaoqVeTfeeGP1uHY5zjvvvDj44IMbV7iRCfRCgbvuuqt6LUI5vIOyF94ASiZAYJcCgrxdEjmBAAECBAj0XoH6l/qPGzcuzjzzzKZ8Z1npUHkn3nXfujYuOGpgQ1fitb0blqxZFX37C/Ia+aekrMz7wdMb4zNXXd2j91/ZqbbsWFuO8qj55Zdf3siyjU2gVwr8+Mc/jueee66qffr06XHkkUf2SgdFEyBAoCMBQZ57gwABAgQIEOhQoP59YOWksvqohHllhV6zHSVkmffoQ922Gq9W/+JVq6PfwC1W5DX4hiir8iZOOT3Gjx/f4Cu1P/wrr7wS9957bxUYl6M8al4eOXcQINC1Ag899FA8/fTT1aBlo6Wy4ZKDAAECBLYLCPLcDQQIECBAgMBOBepXIZUTDzrooGqVRLNtflEeq337xSdjypju3eV08fLV0W8vQV6j/xjNXLgpBow5oUcer128eHHcc889sWHDhqrMUaNGxYUXXtjoko1PoFcKPPbYY1H+97wcU6dOjWnTpvVKB0UTIECgIwFBnnuDAAECBAgQ2KVA2zBv+PDhMWnSpJg4ceIuP9tdJzz++OOx+eWn4oQxA7rrktV1BHndw/3Ewo0RI4/v9n/Ur1y5Mu6+++544403thV6xRVXNP37IrunK65CoOsFnn322ZgxY0Y18GGHHRbnnHNO11/EiAQIEGhhAUFeCzfP1AkQIECAQHcKtA3zyrXLyqT3ve99MWHChC6dypw5c6qgcHeOmTNnxjsL5gjydgethc7t7iBv8+bNMXfu3OrHunXrtkmddtpp1T3vIECgMQIlPL/pppuqwcsGSyU4dxAgQIDAdgFBnruBAAECBAgQ6LRACfOeeOKJKP/Qqj8OPfTQOPbYY6vVE11xlFBu/vz5VZjX2UBPkNcV8s07RncGefPmzasCvBUrVuwAcsEFF8To0aObF8nMCCQQ2LJlS3zzm9+MEqaX49Of/nTsu+++CSpTAgECBLpGQJDXNY5GIUCAAAECvUagvOy/tlLpzTff3KHu/fbbL0qoN3bs2OrnPT1KKFcCw3KUf8B1JtAT5O2pdmt8rjuCvJdffrm6txctWrQDyiGHHBJnnHGGx2lb41YxywQCP/jBD2Lp0qVVJeXR2q76JlECGiUQIEAgBHluAgIECBAgQGCPBNauXbst0HvnnXfeNUZ9qDdixIjd2um2PsirDbyrQK98ZsuCOTG5hd+Rd8MdD8e69W/FE798Ka65aes7ouqPz182Pf7qi1fEXoMGbvvyvJdeiz/9x1vif/7+VXHA0PZXrZRzvnnLA/Env3VJLHhtRXzqS38XT85f0OH4T/zy5Zjx6DPxX6/+WPyXr31nh7n86W9dGn/4+Yuqz5b5HjbmwDjthCP36B7anQ81Ksh79dVX48UXX4yyK+3rr7/+rimVEPmUU07Znak6lwCB9yjws5/9LH75y19Wo5TNLsqmFw4CBAgQ2CogyHMnECBAgAABAu9JYPny5fHSSy/FggULovy6o2PYsGFRNsk44IAD4sADD6x+DBy4PZCq/1x7QV7t9zsK9Fo9yFv/1tvxJ39/c3zq46fGv9zxcPz6xWfExHHbH+OsD+P++7V3xh///fc71bda+HfL/TPjhYXLqnCuXKeMX447H3wyfvfKc+Oh2c/Gy68ui09//NTq6+W/b53xePXr2lzKHMr5Jx03oTq3HK0Y5JVHw8sL9UuA1154169fvzjiiCOqHwcffHCnnJ1EgEDXCZT3pD7yyCPVgIcffnh85CMf6brBjUSAAIEWFxDktXgDTZ8AAQIECDSTwGuvvVYFeuXHqlWrdjm1oUOHxv777189Plv7UV5uXt7FVx5xLEd5X1KfPn3eNVbbQK/Vg7xaUPelXz8//uKbt+00yKutyFuxZm38p//27fjj37h4h9BvV/ALl6yMl19bUa2kK2O8snhl/OSxZ6pAr/6ohYsXTj8xrr/twbjy/NPjsbnPN32Qt379+mqX2bJqtPyo/br289tvv90uUbkfy8YtRx55ZJRfOwgQ6BmBhQsXxh133FFdfPDgwfHJT36yw2/89MwMXZUAAQI9JyDI6zl7VyZAgAABAqkFyj/EyuOKy5Ytq37UXlzemaLrw7varzsK9AYMGBAHHXRQNf7oTSta9tHa8phqOS4+a9q7HmetmbV9tLa2au71devbfRT3o6dOiuv/22/u8MhtCefaPi5bG792/j/ceH+MP+TAai5l9V6zBHmvbh4R5THtjRs37vCjBHPlR/l6+bncK509yirRsvty2cRi3LhxUVbjOQgQ6HmBf/3Xf922Yvbss8+O8ePH9/ykzIAAAQJNICDIa4ImmAIBAgQIEMguUAKW8uLyJUuWVD+XYK+smuroaC/Iq53bUaBXvj71wIEtGeSVVXFX/v4/xGfOP21beFYeZx0xbEj84f/8XvzZf/pELF/1xrb33JUVebXVcm0fwS1OJeD70Ge/Gj/95y/H1GMO2xbcXffnv1E9Clt7hLZct4R25XHb+vfu1cK+S88+Ke59ZG7TBHlPLNr0nv+oDBo0KMaMGVM9Mlt+LitCHQQINJ/AQw89FE8//XQ1saOPPjo+9KEPNd8kzYgAAQI9ICDI6wF0lyRAgAABAgSiWmlRHr9dt27du36U36ttoNE2uMsY5JXVeD96YFZccMaUbe+oK/dICdpqQV7bjSzKZ6677aF3rbgrX//ZE/PetSlG7R145T15O3u/Xgn7au/Ja7ZHa3cnyNt7772jvJexBHW1R7hrj3H780eAQPMLlBXdd955ZzXR8iqF8nht3759m396657zAAAgAElEQVTiZkiAAIEGCwjyGgxseAIECBAgQGD3Beo3u9jVo7VlhdXIkSOrxypHbVzekivybv3JE7FkxZoKqqMda2uK5fHa3/zVs+Kzf3hNjBwxNM45dVL817+8oUPk2uO4ZSfashKvPC5bNsv4zcvPqj5TW5FXdrMt7+m78MNbd4es7aD73IIl1Yq8sovt+WdMqd6l11ObXbz2zoExduzY6h/z5RHY8qP26/79+1f/XR61LoFdRxup7P7d6BMECPSUQP3jteeee271599BgACB3i4gyOvtd4D6CRAgQIBAEwq0F+S1nWa2zS5q78irXw1XArcHZ82L8ojr/3Hp9G0Ef339XVWYVjagKI/d1q/WK+O0t5NsbUVeZ4O8co0Pn3RstYPuEWNHxpIVr8cnPvr+FLvWNuEtb0oECLQjUP947cSJE+OMM7butu0gQIBAbxYQ5PXm7qudAAECBAg0qUB9kLerAK/2+62+a23bIK8+rPvY6ZNj7ZsbOvXYbWeCvI42u6g9Vlv/SO/egwfu8I69WtBY3Du6ViNuqycWbowYeXxMmzatEcMbkwCBJhSof7y2TO+ss86qdpZ2ECBAoDcLCPJ6c/fVToAAAQIEmlSgvSCv7Qq8tlPPEuTVdq298vzT4+jDR297R97dDz0V5f12f/j5i6rSO3p/XnvhWm3zi/Z2sW3vFiiP2N754JPxHz9xZhXifXDqxCpE/LNrfljtZlsL8wR5TfoHyLQIJBL42c9+Fr/85S+risou0xdccEGUVyo4CBAg0FsFBHm9tfPqJkCAAAECTSxQH+TtKsCrlZEhyFu3/q3qHXklxDvthCPfFdaVQK68q66EeW2DvBKylU0sJh81Nv7lL347Jo4bva3D/+vmn1TvxitH2R33nofndNj9P/2tS2P6+4+NZ55fuMNcygdqm1+UR21/46vfavdajbqtHl+4MfpYkdcoXuMSaFqBtWvXxq233hrl53JMmjQpTjnllKadr4kRIECg0QKCvEYLG58AAQIECBDYbYESys2fP7/6B1v50Zmj1YO8ztTYm88R5PXm7qu9twuUFXllZV7t+PjHPx6HHHJIU7Ns2rQpFixYEGvWrNm2C3tHEy6bOjmaR6BsnFR2Oy+bq5SNlBwEmk1AkNdsHTEfAgQIECBAIObMmdPpAK/GJcjLfeMI8nL3V3UEdiVwzz33xEsvvVSdNnr06OoR22Y9Zs2aFbNmzo4Rw0bGkL2GRUSfLptqn34R0Tci+nXdmF02uTQDbYnX166M5SuWxJQpJ8SUKVPSVKaQHAKCvBx9VAUBAgQIEOj1AoK83LdACfL6jpocJ554Yu5CVUeAQLsCS5curR6xfeedd6rfHz9+fJx99tlNp/Xj+2bE2tXr4+jxU2PvvYc0bH59+vaJPgP6xtLlS6prjDxoVMOu1VsHXvfm6/HM/Mdi3333ijPP2r5zfG/1UHfzCAjymqcXZkKAAAECBAi8B4GyAuLtF5+MKWO69zGYxctXR7+9tsToEfu/h9n76K4EZi7cFAPGWBmxKye/TyCzQNuNkJotzCt/D73y/Gsx9bgzuqUNJcxbtmaZIK/B2o/Nvj8OHTvayrwGOxu+8wKCvM5bOZMAAQIECBBoYoEXXngh5j36UJw1rnsfN1q8anX0GyjIa/StcfdzW2LilNOrVTgOAgR6r0CzhnnlnXjf/tZ1cfqJH2voSry2nV++amlE/75W5DXwj0RZmffTR26Lq676jHfmNdDZ0J0XEOR13sqZBAgQIECAQBMLlH9EXfeta+OCowbGfoO6L8xbsmZV9O0fVuQ18N5Ys2FL/ODpjfGZq672j6gGOhuaQKsINGOYV76ZNPeJf+u21Xi1Xi1bsST6DOwnyGvwzVtW5R036WjfTGqws+E7JyDI65yTswgQIECAAIEWECiPNS2eN7fbVuWVl44vfX1VJePR2sbdIGU13qjxkzzW1DhiIxNoOYG2Yd5hhx0WkydPjlGjeuZdceXvn9WvbogjJxzfrZZLly2OvoP7C/IarD7vuVkxdPggfw812NnwnRMQ5HXOyVkECBAgQIBAiwjMuPee2LBiSZw0Ohq6Mq+EeH37b4nFK1cL8hp0b5SVeD9fGDF46KiYfvZHG3QVwxIg0KoCbcO8UkcJ88qPwYMHd2tZjz/+eLy+eGMcOWFSt15XkNc93POemx37Du0X06ZN654LugqBnQgI8tweBAgQIECAQDqBsjJi9swnYtSQgTF84OboG1u6rsa+EdF3S5QgrxzLV66pfh4xfGjXXaMFRupC0XdVuyX6xIoN/WLxmo1xwpSpVkC0wP1gigR6SqCEeU8++WRs3rx52xSGDh0aJ5xwQkycOHGPpjVnzpyYNGn3ArkyjzeWbBLk7ZF4839IkNf8PepNMxTk9aZuq5UAAQIECPQigfLOvAULFsSaNWt2+AdeLyJo2lL79Nn5Owz79u0b5R/iY8eO9U68pu2iiRFoHoFly5bF7Nmz48UXX9xhUnv6uG0J5ebPn1+FeZ0N9AR5zXM/NGImgrxGqBpzTwUEeXsq53MECBAgQIAAAQIECBAg0DQC8+bNqwK98g2c+uPQQw+tvjEwbty42GeffXY53/pHdvfdd99OBXqCvF2ytvQJgryWbl+6yQvy0rVUQQQIECBAgAABAgQIEOidAuvXr6/CvPJ4bHtHCfUOP/zwOOKIIzpc8dveu/d2Fei1cpC3atXK+IM/+t34vS/8YUwYf9Q2tg0b1sc/XPP1+OxnfiOGDRu+7euPzXwkLrpsevXfH/7QR+Lv/uba6vfL+X/8lS/GZZdcESdNO+Vd/F//H38ep586vfq951+YH/9y4z/H733hyzF48F7vOrf+2jMeuDsOPWRc9bky13++7h/jNz//hXY/16i7XpDXKFnj7omAIG9P1HyGAAECBAgQIECAAAECBJpWYNGiRVFW6JVXLLz99tvtzrMEegcffHDsv//+MXz48G0bZLQX5NUG6CjQa+Ugr9RWgrO//PpXY9xhE+JLf/DbHfb1i//lj6ow7sGHZ1QBX32odvMP/iWWr1gWzz8/P/6vL36lw/Cvo8E/8+n/EH/6R1+rwsOv/dVXOnVv1QeJnfrAHp4kyNtDOB9riIAgryGsBiVAgAABAgQIECBAgACBnhYoK/RKmFd+vPLKK1Hen9rRUXa6LYFeCf6WL19enbZly5Zo772ebQO9Vg/y2jPZ2Yq8EuSVQO+VhS/FJb/yqSgh3i8efagK4ubMnV0FfV/4P/+gGrasvvvLr/9Z/PlX/npbuLezFXnluuX333fs5G3T+s6/fDNO+cAH45/+/7+JCROOik9ccmW3rswT5PX0n2TXrxcQ5LkfCBAgQIAAAQIECBAgQCC9wNq1a7cFeiXYKyFde0d9eFf7dUeB3oABA+KAAw6ohhnS76CW3LW2hHC1R1drj8ded8P/atfmhzfNqL5+970/qn7+1OWfjSefejxuuvmGbY/Ylq/XB3vtPTq7syCvfPae++6IW2/7XnWNf73u9nh81i+2PeJbHu39/S//5/inv7t+h0eBG3kDC/IaqWvs3RUQ5O2umPMJECBAgAABAgQIECBAoKUFyoYYS5cujZUrV277sW7duqqm9oK8WrEdBXrl90cMHR3vn3xmt7osXbY4+g7uHyMPGrXH1/3pz+6Pr/z578dv/ccvVKvrasfOVuTddPN3qtPOnH5OfO2vvhoHjjgoHvjZfTvMoTyGu3jxqzFixEFR3o/XmaP2eG0Z64gJE2PlyhXV+/jKWGWFXxmnjFke3f1/v/ZH1ZBlFWB7YWFnrtfZcwR5nZVyXncICPK6Q9k1CBAgQIAAAQIECBAgQKCpBd54441YsWJFtVHGa6+9Vs21bXCXMcgrddZWyJVf//0//VWHfSpB24XnXxaPznx4h0drax+oX933XppdVvyVIG+vvfaOMaMPqTa5KMFd23fvvZdr7M5nBXm7o+XcRgsI8hotbHwCBAgQIECAAAECBAgQaBmB+s0udvVo7aBBg2L06NHVe/X26TOiJR+trW9MR4FZ/eq8556ft22zi7/7x7+MRa8ujB/+6Lvt9rc8ilvbbfa3//PV8ZOf3tvueccec/y2R2XLqjubXbTMHxcT7QEBQV4PoLskAQIECBAgQIAAAQIECDSnQHtBXtuZZtvsorx3rrYTbUeBW22H2Pogr37X2mLU0Yq8EhC2Pbfe9Jpv/I84a/q53fbOu92986zI210x5zdSQJDXSF1jEyBAgAABAgQIECBAgEBLCdQHebsK8Gq/3+q71pZVcGUX2vI4a3uPsLZdkVfeW1eOv/3rb8X0M87Z9pkZD9wdIw44KG6/85a47JIrqtV45djdIK+c39kVfN1xcwnyukPZNTorIMjrrJTzCBAgQIAAAQIECBAgQCC9QHtBXtsVeG0RWjnIq3+cttTV2RV5ZfOJspKvhIB/9zfXxrBhw3dYkVfb4KKct7vB3O4Gf42+KQV5jRY2/u4ICPJ2R8u5BAgQIECAAAECBAgQIJBaoD7I21WAV4No5SCvhHFlF9qy++v69es7tSKvPIZbArraUcYoq/Tq33VXf5PsbjC3u8Ffo29IQV6jhY2/OwKCvN3Rci4BAgQIECBAgAABAgQIpBYoodz8+fNj0qRJ1Y/OHK0c5LUN3Oofra0FdOWcsmNtCfsGD96rMySpzhHkpWpnyxcjyGv5FiqAAAECBAgQIECAAAECBLpKYM6cOZ0O8GrXzBLkdZVhtnEEedk62tr1CPJau39mT4AAAQIECBAgQIAAAQI9LCDI6+EGNPjyJcgbsn//OPHEExt8JcMT2LWAIG/XRs4gQIAAAQIECBAgQIAAAQIdCsyaNStWv7ohjpxwfLcqLV22OPoO7h8jDxrVrdftbReb99ysGDp8UEyZMqW3la7eJhQQ5DVhU0yJAAECBAgQIECAAAECBFpH4IUXXoi5T/xbTD3ujG6d9LIVS6LPwH6CvAarPzb7/jhu0tExfvz4Bl/J8AR2LSDI27WRMwgQIECAAAECBAgQIECAQIcCmzZtim9/67o4/cSPxd57D+k2qeWrlkb07yvIa6D4ujdfj58+cltcddVnon///g28kqEJdE5AkNc5J2cRIECAAAECBAgQIECAAIEOBcrjta88/1q3rcrr07dPLFuzrJqPR2sbd2OW1XiHjh3tsdrGERt5NwUEebsJ5nQCBAgQIECAAAECBAgQINCewI/vmxFrV6+Po8dPbejKvBLi9RnQN5YuXyLIa9CtWFbiPTP/sdh3373izLOmN+gqhiWw+wKCvN038wkCBAgQIECAAAECBAgQINCuQFmZN2vm7BgxbGQM2WtYRPTpMqk+/SKib0T02zrmipXLq58PGD6iy65hoC3x+tqVsXzFkpgy5QQr8dwQTScgyGu6lpgQAQIECBAgQIAAAQIECLSyQHln3oIFC2LNmjWxefPmVi4l3dz79Nl5sNq3b98YOnRojB071jvx0nU/R0GCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0UdVECBAgAABAgQIECBAgAABAgQIJBcQ5CVvsPIIECBAgAABAgQIECBAgAABAgRyCAjoLq0AABUoSURBVAjycvRRFQQIECBAgAABAgQIECBAgAABAskFBHnJG6w8AgQIECBAgAABAgQIECBAgACBHAKCvBx9VAUBAgQIECBAgAABAgQIECBAgEByAUFe8gYrjwABAgQIECBAgAABAgQIECBAIIeAIC9HH1VBgAABAgQIECBAgAABAgQIECCQXECQl7zByiNAgAABAgQIECBAgAABAgQIEMghIMjL0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INSERT INTO `rule_chain` VALUES ('rulee765e9ef022812a8b89dfb4c', 'panda', 2, '2023-07-21 16:17:51', '2023-08-03 10:19:33', '1', 'Root Rule Chain', 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-- ----------------------------
-- Table structure for rule_chain_msg_log
-- ----------------------------
DROP TABLE IF EXISTS `rule_chain_msg_log`;
CREATE TABLE `rule_chain_msg_log`  (
  `message_id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `msg_type` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `device_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `device_name` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `ts` datetime(0) NULL DEFAULT NULL,
  `content` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `create_at` datetime(0) NULL DEFAULT NULL
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of rule_chain_msg_log
-- ----------------------------
INSERT INTO `rule_chain_msg_log` VALUES ('3453d', 2, 'panda', 'Telemetry', 'd_1928b99619910dae5a001fa7', 'ws432', '2023-07-31 14:23:13', 'Incoming message', '2023-09-06 15:28:45');

-- ----------------------------
-- Table structure for sys_apis
-- ----------------------------
DROP TABLE IF EXISTS `sys_apis`;
CREATE TABLE `sys_apis`  (
  `id` bigint(0) NOT NULL AUTO_INCREMENT,
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  `path` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'api路径',
  `description` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'api中文描述',
  `api_group` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'api组',
  `method` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '方法',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 205 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_apis
-- ----------------------------
INSERT INTO `sys_apis` VALUES (1, '2021-12-09 09:21:04', '2021-12-09 09:21:04', NULL, '/system/user/list', '查询用户列表（分页）', 'user', 'GET');
INSERT INTO `sys_apis` VALUES (2, '2021-12-09 09:29:36', '2021-12-09 09:29:36', NULL, '/system/user/changeStatus', '修改用户状态', 'user', 'PUT');
INSERT INTO `sys_apis` VALUES (3, '2021-12-09 09:34:37', '2021-12-09 09:34:37', NULL, '/system/user/:userId', '删除用户信息', 'user', 'DELETE');
INSERT INTO `sys_apis` VALUES (4, '2021-12-09 09:36:43', '2023-09-14 14:05:54', NULL, '/system/organization/list', '获取组织列表', 'organization', 'GET');
INSERT INTO `sys_apis` VALUES (5, '2021-12-09 09:37:31', '2023-09-14 14:06:51', NULL, '/system/organization/:organizationId', '获取组织信息', 'organization', 'GET');
INSERT INTO `sys_apis` VALUES (6, '2021-12-09 18:20:32', '2021-12-09 18:20:32', NULL, '/system/user/avatar', '上传头像', 'user', 'POST');
INSERT INTO `sys_apis` VALUES (7, '2021-12-09 18:21:10', '2021-12-09 18:21:10', NULL, '/system/user/pwd', '修改密码', 'user', 'PUT');
INSERT INTO `sys_apis` VALUES (8, '2021-12-09 18:21:54', '2021-12-09 18:21:54', NULL, '/system/user/getById/:userId', '通过id获取用户信息', 'user', 'GET');
INSERT INTO `sys_apis` VALUES (9, '2021-12-09 18:58:50', '2021-12-09 18:58:50', NULL, '/system/user/getInit', '获取初始化角色岗位信息(添加用户初始化)', 'user', 'GET');
INSERT INTO `sys_apis` VALUES (10, '2021-12-09 18:59:43', '2021-12-09 18:59:43', NULL, '/system/user/getRoPo', '获取用户角色岗位信息', 'user', 'GET');
INSERT INTO `sys_apis` VALUES (11, '2021-12-09 19:00:24', '2021-12-09 19:00:24', NULL, '/system/user', '添加用户信息', 'user', 'POST');
INSERT INTO `sys_apis` VALUES (12, '2021-12-09 19:00:52', '2021-12-09 19:00:52', NULL, '/system/user', '修改用户信息', 'user', 'PUT');
INSERT INTO `sys_apis` VALUES (13, '2021-12-09 19:02:30', '2021-12-09 19:02:30', NULL, '/system/user/export', '导出用户信息', 'user', 'GET');
INSERT INTO `sys_apis` VALUES (14, '2021-12-09 19:04:04', '2023-09-14 14:06:35', NULL, '/system/organization/roleOrganizationTreeSelect/:roleId', '获取角色部门树', 'organization', 'GET');
INSERT INTO `sys_apis` VALUES (15, '2021-12-09 19:04:48', '2023-09-14 14:07:06', NULL, '/system/organization/organizationTree', '获取所有组织树', 'organization', 'GET');
INSERT INTO `sys_apis` VALUES (16, '2021-12-09 19:07:37', '2023-09-14 14:07:18', NULL, '/system/organization', '添加组织信息', 'organization', 'POST');
INSERT INTO `sys_apis` VALUES (17, '2021-12-09 19:08:14', '2023-09-14 14:07:28', NULL, '/system/organization', '修改组织信息', 'organization', 'PUT');
INSERT INTO `sys_apis` VALUES (18, '2021-12-09 19:08:40', '2023-09-14 14:07:41', NULL, '/system/organization/:organizationId', '删除组织信息', 'organization', 'DELETE');
INSERT INTO `sys_apis` VALUES (19, '2021-12-09 19:09:41', '2021-12-09 19:09:41', NULL, '/system/config/list', '获取配置分页列表', 'config', 'GET');
INSERT INTO `sys_apis` VALUES (20, '2021-12-09 19:10:11', '2021-12-09 19:10:11', NULL, '/system/config/configKey', '获取配置列表通过ConfigKey', 'config', 'GET');
INSERT INTO `sys_apis` VALUES (21, '2021-12-09 19:10:45', '2021-12-09 19:10:45', NULL, '/system/config/:configId', '获取配置信息', 'config', 'GET');
INSERT INTO `sys_apis` VALUES (22, '2021-12-09 19:11:22', '2021-12-09 19:11:22', NULL, '/system/config', '添加配置信息', 'config', 'POST');
INSERT INTO `sys_apis` VALUES (23, '2021-12-09 19:11:41', '2021-12-09 19:11:41', NULL, '/system/config', '修改配置信息', 'config', 'PUT');
INSERT INTO `sys_apis` VALUES (24, '2021-12-09 19:12:28', '2021-12-09 19:12:28', NULL, '/system/config/:configId', '删除配置信息', 'config', 'DELETE');
INSERT INTO `sys_apis` VALUES (25, '2021-12-09 19:13:08', '2021-12-09 19:13:08', NULL, '/system/dict/type/list', '获取字典类型分页列表', 'dict', 'GET');
INSERT INTO `sys_apis` VALUES (26, '2021-12-09 19:13:55', '2021-12-09 19:13:55', NULL, '/system/dict/type/:dictId', '获取字典类型信息', 'dict', 'GET');
INSERT INTO `sys_apis` VALUES (27, '2021-12-09 19:14:28', '2021-12-09 19:14:28', NULL, '/system/dict/type', '添加字典类型信息', 'dict', 'POST');
INSERT INTO `sys_apis` VALUES (28, '2021-12-09 19:14:55', '2021-12-09 19:14:55', NULL, '/system/dict/type', '修改字典类型信息', 'dict', 'PUT');
INSERT INTO `sys_apis` VALUES (29, '2021-12-09 19:15:17', '2021-12-09 19:15:17', NULL, '/system/dict/type/:dictId', '删除字典类型信息', 'dict', 'DELETE');
INSERT INTO `sys_apis` VALUES (30, '2021-12-09 19:15:50', '2021-12-09 19:15:50', NULL, '/system/dict/type/export', '导出字典类型信息', 'dict', 'GET');
INSERT INTO `sys_apis` VALUES (31, '2021-12-09 19:16:26', '2021-12-09 19:16:26', NULL, '/system/dict/data/list', '获取字典数据分页列表', 'dict', 'GET');
INSERT INTO `sys_apis` VALUES (32, '2021-12-09 19:17:01', '2021-12-09 19:17:01', NULL, '/system/dict/data/type', '获取字典数据列表通过字典类型', 'dict', 'GET');
INSERT INTO `sys_apis` VALUES (33, '2021-12-09 19:17:39', '2021-12-09 19:17:39', NULL, '/system/dict/data/:dictCode', '获取字典数据信息', 'dict', 'GET');
INSERT INTO `sys_apis` VALUES (34, '2021-12-09 19:18:20', '2021-12-09 19:18:20', NULL, '/system/dict/data', '添加字典数据信息', 'dict', 'POST');
INSERT INTO `sys_apis` VALUES (35, '2021-12-09 19:18:44', '2021-12-09 19:18:44', NULL, '/system/dict/data', '修改字典数据信息', 'dict', 'PUT');
INSERT INTO `sys_apis` VALUES (36, '2021-12-09 19:19:16', '2021-12-09 19:19:16', NULL, '/system/dict/data/:dictCode', '删除字典数据信息', 'dict', 'DELETE');
INSERT INTO `sys_apis` VALUES (37, '2021-12-09 19:21:18', '2021-12-09 19:21:18', NULL, '/system/menu/menuTreeSelect', '获取菜单树', 'menu', 'GET');
INSERT INTO `sys_apis` VALUES (38, '2021-12-09 19:21:47', '2021-12-09 19:21:47', NULL, '/system/menu/menuRole', '获取角色菜单', 'menu', 'GET');
INSERT INTO `sys_apis` VALUES (39, '2021-12-09 19:22:42', '2021-12-09 19:22:42', NULL, '/system/menu/roleMenuTreeSelect/:roleId', '获取角色菜单树', 'menu', 'GET');
INSERT INTO `sys_apis` VALUES (40, '2021-12-09 19:23:17', '2021-12-09 19:23:17', NULL, '/system/menu/menuPaths', '获取角色菜单路径列表', 'menu', 'GET');
INSERT INTO `sys_apis` VALUES (41, '2021-12-09 19:23:40', '2021-12-09 19:23:40', NULL, '/system/menu/list', '获取菜单列表', 'menu', 'GET');
INSERT INTO `sys_apis` VALUES (42, '2021-12-09 19:24:09', '2021-12-09 19:24:09', NULL, '/system/menu/:menuId', '获取菜单信息', 'menu', 'GET');
INSERT INTO `sys_apis` VALUES (43, '2021-12-09 19:24:29', '2021-12-09 19:24:29', NULL, '/system/menu', '添加菜单信息', 'menu', 'POST');
INSERT INTO `sys_apis` VALUES (44, '2021-12-09 19:24:48', '2021-12-09 19:24:48', NULL, '/system/menu', '修改菜单信息', 'menu', 'PUT');
INSERT INTO `sys_apis` VALUES (45, '2021-12-09 19:25:10', '2021-12-09 19:25:10', NULL, '/system/menu/:menuId', '删除菜单信息', 'menu', 'DELETE');
INSERT INTO `sys_apis` VALUES (46, '2021-12-09 19:25:44', '2021-12-09 19:27:06', NULL, '/system/post/list', '获取岗位分页列表', 'post', 'GET');
INSERT INTO `sys_apis` VALUES (47, '2021-12-09 19:26:55', '2021-12-09 19:26:55', NULL, '/system/post/:postId', '获取岗位信息', 'post', 'GET');
INSERT INTO `sys_apis` VALUES (48, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/post', '添加岗位信息', 'post', 'POST');
INSERT INTO `sys_apis` VALUES (49, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/post', '修改岗位信息', 'post', 'PUT');
INSERT INTO `sys_apis` VALUES (50, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/post/:postId', '删除岗位信息', 'post', 'DELETE');
INSERT INTO `sys_apis` VALUES (51, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/role/list', '获取角色分页列表', 'role', 'GET');
INSERT INTO `sys_apis` VALUES (52, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/role/:roleId', '获取角色信息', 'role', 'GET');
INSERT INTO `sys_apis` VALUES (53, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/role', '添加角色信息', 'role', 'POST');
INSERT INTO `sys_apis` VALUES (54, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/role', '修改角色信息', 'role', 'PUT');
INSERT INTO `sys_apis` VALUES (55, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/role/:roleId', '删除角色信息', 'role', 'DELETE');
INSERT INTO `sys_apis` VALUES (56, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/role/changeStatus', '修改角色状态', 'role', 'PUT');
INSERT INTO `sys_apis` VALUES (57, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/role/dataScope', '修改角色部门权限', 'role', 'PUT');
INSERT INTO `sys_apis` VALUES (58, '2021-12-09 19:25:44', '2021-12-09 19:25:44', NULL, '/system/role/export', '导出角色信息', 'role', 'GET');
INSERT INTO `sys_apis` VALUES (59, '2021-12-09 19:50:57', '2022-01-19 08:58:20', NULL, '/system/api/list', '获取api分页列表1', 'api', 'GET');
INSERT INTO `sys_apis` VALUES (60, '2021-12-09 19:51:26', '2021-12-09 19:51:26', NULL, '/system/api/all', '获取所有api', 'api', 'GET');
INSERT INTO `sys_apis` VALUES (61, '2021-12-09 19:51:54', '2021-12-09 19:51:54', NULL, '/system/api/getPolicyPathByRoleId', '获取角色拥有的api权限', 'api', 'GET');
INSERT INTO `sys_apis` VALUES (62, '2021-12-09 19:52:14', '2021-12-09 19:52:14', NULL, '/system/api/:id', '获取api信息', 'api', 'GET');
INSERT INTO `sys_apis` VALUES (63, '2021-12-09 19:52:35', '2021-12-09 19:52:35', NULL, '/system/api', '添加api信息', 'api', 'POST');
INSERT INTO `sys_apis` VALUES (64, '2021-12-09 19:52:50', '2021-12-09 19:52:50', NULL, '/system/api', '修改api信息', 'api', 'PUT');
INSERT INTO `sys_apis` VALUES (65, '2021-12-09 19:53:07', '2021-12-09 19:53:07', NULL, '/system/api/:id', '删除api信息', 'api', 'DELETE');
INSERT INTO `sys_apis` VALUES (66, '2021-12-17 10:51:05', '2021-12-17 10:54:22', NULL, '/log/logLogin/list', '获取登录日志', 'log', 'GET');
INSERT INTO `sys_apis` VALUES (67, '2021-12-17 10:51:43', '2021-12-17 10:54:28', NULL, '/log/logLogin/:infoId', '删除日志', 'log', 'DELETE');
INSERT INTO `sys_apis` VALUES (68, '2021-12-17 10:53:09', '2021-12-17 10:54:34', NULL, '/log/logLogin/all', '清空所有', 'log', 'DELETE');
INSERT INTO `sys_apis` VALUES (69, '2021-12-17 10:54:07', '2021-12-17 10:54:07', NULL, '/log/logOper/list', '操作日志列表', 'log', 'GET');
INSERT INTO `sys_apis` VALUES (70, '2021-12-17 10:53:09', '2021-12-17 10:53:09', NULL, '/log/logOper/:operId', '删除', 'log', 'DELETE');
INSERT INTO `sys_apis` VALUES (71, '2021-12-17 10:53:09', '2021-12-17 10:53:09', NULL, '/log/logOper/all', '清空', 'log', 'DELETE');
INSERT INTO `sys_apis` VALUES (72, '2021-12-24 15:41:23', '2021-12-24 15:41:23', NULL, '/job/list', '任务列表', 'job', 'GET');
INSERT INTO `sys_apis` VALUES (73, '2021-12-24 15:41:54', '2021-12-24 15:41:54', NULL, '/job', '添加', 'job', 'POST');
INSERT INTO `sys_apis` VALUES (74, '2021-12-24 15:42:11', '2021-12-24 15:42:11', NULL, '/job', '修改任务', 'job', 'PUT');
INSERT INTO `sys_apis` VALUES (75, '2021-12-24 15:42:37', '2021-12-24 16:32:21', NULL, '/job/:jobId', '获取任务', 'job', 'GET');
INSERT INTO `sys_apis` VALUES (76, '2021-12-24 15:43:09', '2021-12-24 16:32:05', NULL, '/job/:jobId', '删除job', 'job', 'DELETE');
INSERT INTO `sys_apis` VALUES (77, '2021-12-24 15:43:35', '2021-12-24 16:31:11', NULL, '/job/stop/:jobId', '停止任务', 'job', 'GET');
INSERT INTO `sys_apis` VALUES (78, '2021-12-24 15:44:09', '2021-12-24 16:30:38', NULL, '/job/start/:jobId', '开始任务', 'job', 'GET');
INSERT INTO `sys_apis` VALUES (79, '2021-12-24 15:45:03', '2023-08-08 14:15:59', NULL, '/job/log/list', '任务日志列表', 'job', 'GET');
INSERT INTO `sys_apis` VALUES (80, '2021-12-24 15:45:33', '2023-08-08 14:16:07', NULL, '/job/log/all', '清空任务日志', 'job', 'DELETE');
INSERT INTO `sys_apis` VALUES (81, '2021-12-24 15:46:08', '2023-08-08 14:16:15', NULL, '/job/log/:logId', '删除任务日志', 'job', 'DELETE');
INSERT INTO `sys_apis` VALUES (82, '2021-12-24 15:45:33', '2021-12-24 15:45:33', NULL, '/system/notice/list', '获取通知分页列表', 'notice', 'GET');
INSERT INTO `sys_apis` VALUES (83, '2021-12-24 15:45:33', '2021-12-24 15:45:33', NULL, '/system/notice', '添加通知信息', 'notice', 'POST');
INSERT INTO `sys_apis` VALUES (84, '2021-12-24 15:45:33', '2021-12-24 15:45:33', NULL, '/system/notice', '修改通知信息', 'notice', 'PUT');
INSERT INTO `sys_apis` VALUES (85, '2021-12-24 15:45:33', '2021-12-24 16:33:48', NULL, '/system/notice/:noticeId', '删除通知信息', 'notice', 'DELETE');
INSERT INTO `sys_apis` VALUES (86, '2021-12-24 22:40:19', '2021-12-24 22:40:19', NULL, '/job/changeStatus', '修改状态', 'job', 'PUT');
INSERT INTO `sys_apis` VALUES (88, '2022-01-02 13:53:06', '2022-07-18 10:57:58', NULL, '/develop/code/table/db/list', '数据库表列表', 'gen', 'GET');
INSERT INTO `sys_apis` VALUES (89, '2022-01-02 13:53:44', '2022-01-02 13:53:44', NULL, '/develop/code/table/list', '表列表', 'gen', 'GET');
INSERT INTO `sys_apis` VALUES (90, '2022-01-02 13:54:10', '2022-01-02 13:54:10', NULL, '/develop/code/table/info/:tableId', '表信息', 'gen', 'GET');
INSERT INTO `sys_apis` VALUES (91, '2022-01-02 13:54:42', '2022-07-18 10:58:35', NULL, '/develop/code/table/info/tableName', '表名获取表信息', 'gen', 'GET');
INSERT INTO `sys_apis` VALUES (92, '2022-01-02 13:55:13', '2022-01-02 13:55:13', NULL, '/develop/code/table/tableTree', '表树', 'gen', 'GET');
INSERT INTO `sys_apis` VALUES (93, '2022-01-02 13:56:37', '2022-01-02 13:56:37', NULL, '/develop/code/table', '导入表', 'gen', 'POST');
INSERT INTO `sys_apis` VALUES (94, '2022-01-02 13:57:36', '2022-01-02 13:57:36', NULL, '/develop/code/table', '修改代码生成信息', 'gen', 'PUT');
INSERT INTO `sys_apis` VALUES (95, '2022-01-02 13:58:25', '2022-01-02 13:58:25', NULL, '/develop/code/table/:tableId', '删除表数据', 'gen', 'DELETE');
INSERT INTO `sys_apis` VALUES (96, '2022-01-02 13:59:07', '2022-01-02 13:59:07', NULL, '/develop/code/gen/preview/:tableId', '预览代码', 'gen', 'GET');
INSERT INTO `sys_apis` VALUES (97, '2022-01-02 13:59:43', '2022-01-02 13:59:43', NULL, '/develop/code/gen/code/:tableId', '生成代码', 'gen', 'GET');
INSERT INTO `sys_apis` VALUES (98, '2022-01-02 14:00:10', '2022-07-17 01:19:42', NULL, '/develop/code/gen/configure/:tableId', '生成api菜单', 'gen', 'GET');
INSERT INTO `sys_apis` VALUES (124, '2023-06-29 16:59:08', '2023-06-29 17:00:17', NULL, '/device/product/category/list', '获取产品分类列表', 'product', 'GET');
INSERT INTO `sys_apis` VALUES (125, '2023-06-29 17:00:08', '2023-06-29 17:00:08', NULL, '/device/product/category/list/all', '获取所有列表', 'product', 'GET');
INSERT INTO `sys_apis` VALUES (126, '2023-06-29 17:00:56', '2023-06-29 17:00:56', NULL, '/device/product/category/list/tree', '获取树', 'product', 'GET');
INSERT INTO `sys_apis` VALUES (127, '2023-06-29 17:01:44', '2023-06-29 17:01:44', NULL, '/device/product/category/:id', '查询单个', 'product', 'GET');
INSERT INTO `sys_apis` VALUES (128, '2023-06-29 17:02:16', '2023-06-29 17:02:16', NULL, '/device/product/category', '添加分类', 'product', 'POST');
INSERT INTO `sys_apis` VALUES (129, '2023-06-29 17:02:42', '2023-06-29 17:02:42', NULL, '/device/product/category', '修改分类', 'product', 'PUT');
INSERT INTO `sys_apis` VALUES (130, '2023-06-29 17:03:07', '2023-06-29 17:03:07', NULL, '/device/product/category/:id', '删除分类', 'product', 'DELETE');
INSERT INTO `sys_apis` VALUES (131, '2023-06-29 16:59:08', '2023-06-29 17:00:17', NULL, '/device/group/list', '获取设备分组列表', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (132, '2023-06-29 17:00:08', '2023-06-29 17:00:08', NULL, '/device/group/list/all', '获取所有列表', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (133, '2023-06-29 17:00:56', '2023-06-29 17:00:56', NULL, '/device/group/list/tree', '获取树', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (134, '2023-06-29 17:01:44', '2023-06-29 17:01:44', NULL, '/device/group/:id', '查询单个', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (135, '2023-06-29 17:02:16', '2023-06-29 17:02:16', NULL, '/device/group', '添加分组', 'device', 'POST');
INSERT INTO `sys_apis` VALUES (136, '2023-06-29 17:02:42', '2023-06-29 17:02:42', NULL, '/device/group', '修改分组', 'device', 'PUT');
INSERT INTO `sys_apis` VALUES (137, '2023-06-29 17:03:07', '2023-06-29 17:03:07', NULL, '/device/group/:id', '删除分组', 'device', 'DELETE');
INSERT INTO `sys_apis` VALUES (138, '2023-06-30 14:13:39', '2023-06-30 14:13:39', NULL, '/device/product/:id', '删除产品信息', 'product', 'DELETE');
INSERT INTO `sys_apis` VALUES (139, '2023-06-30 14:13:39', '2023-06-30 14:13:39', NULL, '/device/product/:id', '获取产品信息', 'product', 'GET');
INSERT INTO `sys_apis` VALUES (140, '2023-06-30 14:13:39', '2023-06-30 14:13:39', NULL, '/device/product', '修改产品信息', 'product', 'PUT');
INSERT INTO `sys_apis` VALUES (141, '2023-06-30 14:13:39', '2023-06-30 14:13:39', NULL, '/device/product/list', '查询产品列表（分页）', 'product', 'GET');
INSERT INTO `sys_apis` VALUES (142, '2023-06-30 14:13:39', '2023-06-30 14:13:39', NULL, '/device/product', '添加产品信息', 'product', 'POST');
INSERT INTO `sys_apis` VALUES (143, '2023-06-30 14:20:03', '2023-06-30 15:26:46', NULL, '/device/list', '查询设备列表（分页）', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (144, '2023-06-30 14:20:03', '2023-06-30 15:26:52', NULL, '/device/:id', '获取设备信息', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (145, '2023-06-30 14:20:03', '2023-06-30 15:26:57', NULL, '/device', '添加设备信息', 'device', 'POST');
INSERT INTO `sys_apis` VALUES (146, '2023-06-30 14:20:03', '2023-06-30 15:27:04', NULL, '/device/:id', '删除设备信息', 'device', 'DELETE');
INSERT INTO `sys_apis` VALUES (147, '2023-06-30 14:20:03', '2023-06-30 15:27:09', NULL, '/device', '修改设备信息', 'device', 'PUT');
INSERT INTO `sys_apis` VALUES (148, '2023-06-30 15:11:25', '2023-08-02 16:06:13', NULL, '/device/group/list/tree/label', '获取设备组label', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (149, '2023-06-30 15:14:08', '2023-09-22 16:58:04', NULL, '/device/product/category/list/tree/label', '获取设置分类树', 'product', 'GET');
INSERT INTO `sys_apis` VALUES (150, '2023-07-01 10:44:25', '2023-07-01 10:44:25', NULL, '/upload/up/oss', '上传文件到oss', 'upload', 'POST');
INSERT INTO `sys_apis` VALUES (151, '2023-07-06 15:31:15', '2023-07-06 15:31:15', NULL, '/device/ota/list', '查询产品固件列表（分页）', 'ota', 'GET');
INSERT INTO `sys_apis` VALUES (152, '2023-07-06 15:31:15', '2023-07-06 15:31:15', NULL, '/device/ota', '添加产品固件信息', 'ota', 'POST');
INSERT INTO `sys_apis` VALUES (153, '2023-07-06 15:31:15', '2023-07-06 15:31:15', NULL, '/device/ota', '修改产品固件信息', 'ota', 'PUT');
INSERT INTO `sys_apis` VALUES (154, '2023-07-06 15:31:15', '2023-07-06 15:31:15', NULL, '/device/ota/:id', '删除产品固件信息', 'ota', 'DELETE');
INSERT INTO `sys_apis` VALUES (155, '2023-07-06 15:31:15', '2023-07-06 15:31:15', NULL, '/device/ota/:id', '获取产品固件信息', 'ota', 'GET');
INSERT INTO `sys_apis` VALUES (156, '2023-07-06 15:32:10', '2023-07-06 15:32:10', NULL, '/device/template/list', '查询产品模型列表（分页）', 'template', 'GET');
INSERT INTO `sys_apis` VALUES (157, '2023-07-06 15:32:10', '2023-07-06 15:32:10', NULL, '/device/template', '修改产品模型信息', 'template', 'PUT');
INSERT INTO `sys_apis` VALUES (158, '2023-07-06 15:32:10', '2023-07-06 15:32:10', NULL, '/device/template/:id', '获取产品模型信息', 'template', 'GET');
INSERT INTO `sys_apis` VALUES (159, '2023-07-06 15:32:10', '2023-07-06 15:32:10', NULL, '/device/template/:id', '删除产品模型信息', 'template', 'DELETE');
INSERT INTO `sys_apis` VALUES (160, '2023-07-06 15:32:10', '2023-07-06 15:32:10', NULL, '/device/template', '添加产品模型信息', 'template', 'POST');
INSERT INTO `sys_apis` VALUES (161, '2023-07-07 16:35:45', '2023-07-07 16:35:45', NULL, '/device/product/list/all', '获取所有列表', 'product', 'GET');
INSERT INTO `sys_apis` VALUES (162, '2023-04-13 09:03:47', '2023-04-13 09:03:47', NULL, '/visual/screen', '修改bi大屏信息', 'screen', 'PUT');
INSERT INTO `sys_apis` VALUES (163, '2023-04-13 09:03:47', '2023-04-13 09:03:47', NULL, '/visual/screen/:screenId', '获取bi大屏信息', 'screen', 'GET');
INSERT INTO `sys_apis` VALUES (164, '2023-04-13 09:03:47', '2023-04-13 09:03:47', NULL, '/visual/screen/list', '查询bi大屏列表（分页）', 'screen', 'GET');
INSERT INTO `sys_apis` VALUES (165, '2023-04-13 09:03:47', '2023-04-13 09:03:47', NULL, '/visual/screen/:screenId', '删除bi大屏信息', 'screen', 'DELETE');
INSERT INTO `sys_apis` VALUES (166, '2023-04-13 09:03:47', '2023-04-13 09:03:47', NULL, '/visual/screen', '添加bi大屏信息', 'screen', 'POST');
INSERT INTO `sys_apis` VALUES (167, '2023-04-13 10:15:27', '2023-04-13 10:15:27', NULL, '/visual/screen/group/list', '大屏分组列表', 'screen_group', 'GET');
INSERT INTO `sys_apis` VALUES (168, '2023-04-13 10:16:15', '2023-04-13 10:16:15', NULL, '/visual/screen/group/list/tree', '大屏分组列表树', 'screen_group', 'GET');
INSERT INTO `sys_apis` VALUES (169, '2023-04-13 10:16:38', '2023-04-13 10:16:38', NULL, '/visual/screen/group/list/all', '获取所有分组', 'screen_group', 'GET');
INSERT INTO `sys_apis` VALUES (170, '2023-04-13 10:17:34', '2023-04-13 10:17:34', NULL, '/visual/screen/group/:id', '获取分组', 'screen_group', 'GET');
INSERT INTO `sys_apis` VALUES (171, '2023-04-13 10:18:10', '2023-04-13 10:18:10', NULL, '/visual/screen/group', '添加分组', 'screen_group', 'POST');
INSERT INTO `sys_apis` VALUES (172, '2023-04-13 10:18:35', '2023-04-13 10:18:35', NULL, '/visual/screen/group', '修改分组', 'screen_group', 'PUT');
INSERT INTO `sys_apis` VALUES (173, '2023-04-13 10:19:09', '2023-04-13 10:19:09', NULL, '/visual/screen/group/:id', '删除分组', 'screen_group', 'DELETE');
INSERT INTO `sys_apis` VALUES (174, '2023-04-13 15:49:39', '2023-04-13 15:49:39', NULL, '/visual/screen/changeStatus', '改变状态', 'screen', 'PUT');
INSERT INTO `sys_apis` VALUES (175, '2023-04-13 15:50:18', '2023-07-21 17:44:48', NULL, '/rule/chain/changeRoot', '改变规则链', 'rulechain', 'PUT');
INSERT INTO `sys_apis` VALUES (176, '2023-04-11 02:05:25', '2023-04-11 02:05:25', NULL, '/rule/chain/list', '查询规则链列表（分页）', 'rulechain', 'GET');
INSERT INTO `sys_apis` VALUES (177, '2023-04-11 02:05:25', '2023-04-11 02:05:25', NULL, '/rule/chain/:ruleId', '删除规则链信息', 'rulechain', 'DELETE');
INSERT INTO `sys_apis` VALUES (178, '2023-04-11 02:05:25', '2023-04-11 02:05:25', NULL, '/rule/chain', '修改规则链信息', 'rulechain', 'PUT');
INSERT INTO `sys_apis` VALUES (179, '2023-04-11 02:05:25', '2023-04-11 02:05:25', NULL, '/rule/chain', '添加规则链信息', 'rulechain', 'POST');
INSERT INTO `sys_apis` VALUES (180, '2023-04-11 02:05:25', '2023-04-11 02:05:25', NULL, '/rule/chain/:ruleId', '获取规则链信息', 'rulechain', 'GET');
INSERT INTO `sys_apis` VALUES (181, '2023-07-24 11:51:10', '2023-07-24 11:51:10', NULL, '/rule/chain/list/label', '获取规则链label列表', 'rulechain', 'GET');
INSERT INTO `sys_apis` VALUES (182, '2023-07-31 14:14:06', '2023-07-31 14:14:06', NULL, '/device/list/all', '获取所有设备', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (183, '2023-08-02 16:05:24', '2023-08-02 16:05:24', NULL, '/device/:id/status', '获取设备状态', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (184, '2023-08-03 09:50:41', '2023-08-03 09:50:41', NULL, '/rule/chain/clone/:ruleId', '克隆规则链', 'rulechain', 'POST');
INSERT INTO `sys_apis` VALUES (185, '2023-08-03 14:16:55', '2023-08-03 14:16:55', NULL, '/device/alarm/list', '告警分页列表', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (186, '2023-08-03 14:17:23', '2023-08-03 14:17:23', NULL, '/device/alarm', '修改告警', 'device', 'PUT');
INSERT INTO `sys_apis` VALUES (187, '2023-08-03 14:18:14', '2023-08-03 14:18:14', NULL, '/device/alarm/:id', '删除告警信息', 'device', 'DELETE');
INSERT INTO `sys_apis` VALUES (188, '2023-08-04 10:59:57', '2023-08-04 10:59:57', NULL, '/device/cmd/list', '设备命令日志列表', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (189, '2023-08-04 11:00:18', '2023-08-04 11:00:18', NULL, '/device/cmd', '下发命令', 'device', 'POST');
INSERT INTO `sys_apis` VALUES (190, '2023-08-04 11:00:46', '2023-08-04 11:00:46', NULL, '/device/cmd/:id', '删除命令记录', 'device', 'DELETE');
INSERT INTO `sys_apis` VALUES (191, '2023-08-04 14:16:06', '2023-08-04 14:16:06', NULL, '/device/template/list/all', '查询所有tsl', 'template', 'GET');
INSERT INTO `sys_apis` VALUES (192, '2023-08-04 16:39:06', '2023-08-04 16:39:06', NULL, '/device/:id/attribute/down', '下发设备属性', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (193, '2023-08-19 09:12:31', '2023-08-19 09:12:31', NULL, '/upload/up', '上传文件到本地', 'upload', 'POST');
INSERT INTO `sys_apis` VALUES (194, '2023-09-05 08:42:13', '2023-09-05 08:42:13', NULL, '/video/ys/device/list', '获取萤石设备列表', 'video', 'GET');
INSERT INTO `sys_apis` VALUES (195, '2023-09-05 08:43:11', '2023-09-05 08:43:11', NULL, '/video/ys/:deviceSerial/channel', '获取指定设备通道', 'video', 'GET');
INSERT INTO `sys_apis` VALUES (196, '2023-09-05 08:45:31', '2023-09-05 08:45:31', NULL, '/video/ys/:deviceSerial/channel/live', '设备通道直播地址', 'video', 'GET');
INSERT INTO `sys_apis` VALUES (197, '2023-09-05 08:46:14', '2023-09-05 08:46:14', NULL, '/video/ys/:deviceSerial/ptz/start', '摄像头操作', 'video', 'GET');
INSERT INTO `sys_apis` VALUES (198, '2023-09-05 08:46:47', '2023-09-05 08:46:47', NULL, '/video/ys/:deviceSerial/ptz/stop', '摄像头操作停止', 'video', 'GET');
INSERT INTO `sys_apis` VALUES (199, '2023-09-06 15:55:44', '2023-09-06 15:55:44', NULL, '/rule/chain/log/list', '规则链审计日志', 'rulechain', 'GET');
INSERT INTO `sys_apis` VALUES (200, '2023-09-06 15:56:35', '2023-09-06 15:56:35', NULL, '/rule/chain/log/delete', '条件删除规则链审计', 'rulechain', 'GET');
INSERT INTO `sys_apis` VALUES (201, '2023-09-08 17:20:35', '2023-09-08 17:20:35', NULL, '/device/:id/property/history', '获取设备属性的遥测历史', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (202, '2023-09-15 17:29:07', '2023-09-15 17:29:07', NULL, '/device/:id/allot/org', '设备分配组织', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (203, '2023-09-22 16:56:56', '2023-09-22 16:56:56', NULL, '/device/product/:id/tsl', '获取产品tsl', 'product', 'GET');
INSERT INTO `sys_apis` VALUES (204, '2023-09-23 14:25:58', '2023-09-23 14:25:58', NULL, '/device/panel', '获取设备统计面板', 'device', 'GET');
INSERT INTO `sys_apis` VALUES (205, '2023-09-25 10:13:59', '2023-09-25 10:13:59', NULL, '/device/alarm/panel', '获取面板告警分组', 'device', 'GET');

-- ----------------------------
-- Table structure for sys_configs
-- ----------------------------
DROP TABLE IF EXISTS `sys_configs`;
CREATE TABLE `sys_configs`  (
  `config_id` bigint(0) NOT NULL AUTO_INCREMENT COMMENT '主键编码',
  `config_name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ConfigName',
  `config_key` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ConfigKey',
  `config_value` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ConfigValue',
  `config_type` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '是否系统内置0，1',
  `is_frontend` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '是否前台',
  `remark` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'Remark',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`config_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_configs
-- ----------------------------
INSERT INTO `sys_configs` VALUES (1, '账号初始密码', 'sys.user.initPassword', '123456', '0', '0', '初始密码', '2021-12-04 13:50:13', '2021-12-04 13:54:52', NULL);

-- ----------------------------
-- Table structure for sys_dict_data
-- ----------------------------
DROP TABLE IF EXISTS `sys_dict_data`;
CREATE TABLE `sys_dict_data`  (
  `dict_code` bigint(0) NOT NULL AUTO_INCREMENT,
  `dict_sort` int(0) NULL DEFAULT NULL COMMENT '排序',
  `dict_label` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '标签',
  `dict_value` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '值',
  `dict_type` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '字典类型',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '状态（0正常 1停用）',
  `css_class` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'CssClass',
  `list_class` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ListClass',
  `is_default` varchar(8) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'IsDefault',
  `create_by` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `update_by` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `remark` varchar(256) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '备注',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`dict_code`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 41 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_dict_data
-- ----------------------------
INSERT INTO `sys_dict_data` VALUES (1, 0, '男', '0', 'sys_user_sex', '0', '', '', '', 'admin', '', '男', '2021-11-30 14:58:18', '2021-11-30 14:58:18', NULL);
INSERT INTO `sys_dict_data` VALUES (2, 1, '女', '1', 'sys_user_sex', '0', '', '', '', 'admin', '', '女生', '2021-11-30 15:09:11', '2021-11-30 15:10:28', NULL);
INSERT INTO `sys_dict_data` VALUES (3, 2, '未知', '2', 'sys_user_sex', '0', '', '', '', 'admin', '', '未知', '2021-11-30 15:09:11', '2021-11-30 15:10:28', NULL);
INSERT INTO `sys_dict_data` VALUES (4, 0, '正常', '0', 'sys_normal_disable', '0', '', '', '', 'admin', '', '', '2021-12-01 15:58:50', '2021-12-01 15:58:50', NULL);
INSERT INTO `sys_dict_data` VALUES (5, 1, '停用', '1', 'sys_normal_disable', '0', '', '', '', 'admin', '', '', '2021-12-01 15:59:08', '2021-12-01 15:59:08', NULL);
INSERT INTO `sys_dict_data` VALUES (6, 0, '目录', 'M', 'sys_menu_type', '0', '', '', '', 'admin', '', '', '2021-12-02 09:49:12', '2021-12-02 09:49:12', NULL);
INSERT INTO `sys_dict_data` VALUES (7, 1, '菜单', 'C', 'sys_menu_type', '0', '', '', '', 'admin', '', '', '2021-12-02 09:49:35', '2021-12-02 09:49:52', NULL);
INSERT INTO `sys_dict_data` VALUES (8, 2, '按钮', 'F', 'sys_menu_type', '0', '', '', '', 'admin', '', '', '2021-12-02 09:49:35', '2021-12-02 09:49:35', NULL);
INSERT INTO `sys_dict_data` VALUES (9, 0, '显示', '0', 'sys_show_hide', '0', '', '', '', 'admin', '', '', '2021-12-02 09:56:40', '2021-12-02 09:56:40', NULL);
INSERT INTO `sys_dict_data` VALUES (10, 0, '隐藏', '1', 'sys_show_hide', '0', '', '', '', 'admin', '', '', '2021-12-02 09:56:52', '2021-12-02 09:56:52', NULL);
INSERT INTO `sys_dict_data` VALUES (11, 0, '是', '0', 'sys_num_yes_no', '0', '', '', '', 'admin', '', '', '2021-12-02 10:16:16', '2021-12-02 10:16:16', NULL);
INSERT INTO `sys_dict_data` VALUES (12, 1, '否', '1', 'sys_num_yes_no', '0', '', '', '', 'admin', '', '', '2021-12-02 10:16:26', '2021-12-02 10:16:26', NULL);
INSERT INTO `sys_dict_data` VALUES (13, 0, '是', '0', 'sys_yes_no', '0', '', '', '', 'admin', '', '', '2021-12-04 13:48:15', '2021-12-04 13:48:15', NULL);
INSERT INTO `sys_dict_data` VALUES (14, 0, '否', '1', 'sys_yes_no', '0', '', '', '', 'admin', '', '', '2021-12-04 13:48:21', '2021-12-04 13:48:21', NULL);
INSERT INTO `sys_dict_data` VALUES (15, 0, '创建(POST)', 'POST', 'sys_method_api', '0', '', '', '', 'admin', '', '', '2021-12-08 17:22:05', '2021-12-09 09:29:52', NULL);
INSERT INTO `sys_dict_data` VALUES (16, 1, '查询(GET)', 'GET', 'sys_method_api', '0', '', '', '', 'admin', '', '', '2021-12-08 17:22:24', '2021-12-09 09:29:59', NULL);
INSERT INTO `sys_dict_data` VALUES (17, 2, '修改(PUT)', 'PUT', 'sys_method_api', '0', '', '', '', 'admin', '', '', '2021-12-08 17:22:40', '2021-12-09 09:30:06', NULL);
INSERT INTO `sys_dict_data` VALUES (18, 3, '删除(DELETE)', 'DELETE', 'sys_method_api', '0', '', '', '', 'admin', '', '', '2021-12-08 17:22:54', '2021-12-09 09:30:13', NULL);
INSERT INTO `sys_dict_data` VALUES (19, 0, '成功', '0', 'sys_common_status', '0', '', '', '', 'admin', '', '', '2021-12-17 11:01:52', '2021-12-17 11:01:52', NULL);
INSERT INTO `sys_dict_data` VALUES (20, 0, '失败', '1', 'sys_common_status', '0', '', '', '', 'admin', '', '', '2021-12-17 11:02:08', '2021-12-17 11:02:08', NULL);
INSERT INTO `sys_dict_data` VALUES (21, 0, '其他', '0', 'sys_oper_type', '0', '', '', '', 'admin', '', '', '2021-12-17 11:30:07', '2021-12-17 11:30:07', NULL);
INSERT INTO `sys_dict_data` VALUES (22, 0, '新增', '1', 'sys_oper_type', '0', '', '', '', 'admin', '', '', '2021-12-17 11:30:21', '2021-12-17 11:30:21', NULL);
INSERT INTO `sys_dict_data` VALUES (23, 0, '修改', '2', 'sys_oper_type', '0', '', '', '', 'admin', '', '', '2021-12-17 11:30:32', '2021-12-17 11:30:32', NULL);
INSERT INTO `sys_dict_data` VALUES (24, 0, '删除', '3', 'sys_oper_type', '0', '', '', '', 'admin', '', '', '2021-12-17 11:30:40', '2021-12-17 11:30:40', NULL);
INSERT INTO `sys_dict_data` VALUES (25, 0, '默认', 'DEFAULT', 'sys_job_group', '0', '', '', '', 'panda', '', '', '2021-12-24 15:15:31', '2021-12-24 15:15:31', NULL);
INSERT INTO `sys_dict_data` VALUES (26, 1, '系统', 'SYSTEM', 'sys_job_group', '0', '', '', '', 'panda', '', '', '2021-12-24 15:15:50', '2021-12-24 15:15:50', NULL);
INSERT INTO `sys_dict_data` VALUES (27, 0, '发布通知', '1', 'sys_notice_type', '0', '', '', '', 'panda', '', '', '2021-12-26 15:24:07', '2021-12-26 15:24:07', NULL);
INSERT INTO `sys_dict_data` VALUES (28, 0, '任免通知', '2', 'sys_notice_type', '0', '', '', '', 'panda', '', '', '2021-12-26 15:24:18', '2021-12-26 15:24:18', NULL);
INSERT INTO `sys_dict_data` VALUES (29, 0, '事物通知', '3', 'sys_notice_type', '0', '', '', '', 'panda', '', '', '2021-12-26 15:24:46', '2021-12-26 15:24:46', NULL);
INSERT INTO `sys_dict_data` VALUES (30, 0, '审批通知', '4', 'sys_notice_type', '0', '', '', '', 'panda', '', '', '2021-12-26 15:25:08', '2021-12-26 15:25:08', NULL);
INSERT INTO `sys_dict_data` VALUES (31, 0, '阿里云', '0', 'res_oss_category', '0', '', '', '', 'panda', '', '', '2022-01-13 15:44:01', '2022-01-13 15:44:01', NULL);
INSERT INTO `sys_dict_data` VALUES (32, 1, '七牛云', '1', 'res_oss_category', '0', '', '', '', 'panda', '', '', '2022-01-13 15:44:18', '2022-01-13 15:44:18', NULL);
INSERT INTO `sys_dict_data` VALUES (33, 2, '腾讯云', '2', 'res_oss_category', '0', '', '', '', 'panda', '', '', '2022-01-13 15:44:39', '2022-01-13 15:44:39', NULL);
INSERT INTO `sys_dict_data` VALUES (34, 0, '阿里云', '0', 'res_sms_category', '0', '', '', '', 'panda', '', '', '2022-01-13 15:47:30', '2022-01-13 15:47:30', NULL);
INSERT INTO `sys_dict_data` VALUES (35, 1, '腾讯云', '1', 'res_sms_category', '0', '', '', '', 'panda', '', '', '2022-01-13 15:47:39', '2022-01-13 15:47:39', NULL);
INSERT INTO `sys_dict_data` VALUES (36, 0, '163邮箱', '0', 'res_mail_category', '0', '', '', '', 'panda', '', '', '2022-01-14 15:43:42', '2022-01-14 15:43:42', NULL);
INSERT INTO `sys_dict_data` VALUES (37, 0, 'qq邮箱', '1', 'res_mail_category', '0', '', '', '', 'panda', '', '', '2022-01-14 15:44:08', '2022-01-14 15:44:08', NULL);
INSERT INTO `sys_dict_data` VALUES (38, 0, '企业邮箱', '2', 'res_mail_category', '0', '', '', '', 'panda', '', '', '2022-01-14 15:44:20', '2022-01-14 15:44:20', NULL);
INSERT INTO `sys_dict_data` VALUES (39, 1, '未发布', '0', 'sys_release_type', '0', '', '', '', 'panda', '', '', '2023-07-21 16:11:27', '2023-07-21 16:11:27', NULL);
INSERT INTO `sys_dict_data` VALUES (40, 2, '已发布', '1', 'sys_release_type', '0', '', '', '', 'panda', '', '', '2023-07-21 16:11:44', '2023-07-21 16:11:44', NULL);

-- ----------------------------
-- Table structure for sys_dict_types
-- ----------------------------
DROP TABLE IF EXISTS `sys_dict_types`;
CREATE TABLE `sys_dict_types`  (
  `dict_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `dict_name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '名称',
  `dict_type` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '类型',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '状态',
  `create_by` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `update_by` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `remark` varchar(256) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '备注',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`dict_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 33 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_dict_types
-- ----------------------------
INSERT INTO `sys_dict_types` VALUES (1, '用户性别', 'sys_user_sex', '0', 'admin', '', '性别列表', '2021-11-30 14:02:52', '2021-11-30 14:07:55', '2021-11-30 14:11:54');
INSERT INTO `sys_dict_types` VALUES (2, '用户性别', 'sys_user_sex', '0', 'admin', '', '用户性别列表', '2021-11-30 14:12:33', '2021-11-30 14:12:33', '2021-11-30 14:14:19');
INSERT INTO `sys_dict_types` VALUES (3, '的心', 'sfd', '0', 'admin', '', 'fs', '2021-11-30 14:13:22', '2021-11-30 14:13:22', '2021-11-30 14:14:19');
INSERT INTO `sys_dict_types` VALUES (4, '用户性别', 'sys_user_sex', '0', 'admin', '', '性别字典', '2021-11-30 14:15:25', '2021-11-30 14:15:25', NULL);
INSERT INTO `sys_dict_types` VALUES (5, 'df', 'da', '0', 'admin', '', 'sd', '2021-11-30 15:54:33', '2021-11-30 15:54:33', '2021-11-30 15:54:40');
INSERT INTO `sys_dict_types` VALUES (6, '系统开关', 'sys_normal_disable', '0', 'admin', '', '开关列表', '2021-12-01 15:57:58', '2021-12-01 15:57:58', NULL);
INSERT INTO `sys_dict_types` VALUES (7, '菜单类型', 'sys_menu_type', '0', 'admin', '', '菜单类型列表', '2021-12-02 09:48:48', '2021-12-02 09:56:12', NULL);
INSERT INTO `sys_dict_types` VALUES (8, '菜单状态', 'sys_show_hide', '0', 'admin', '', '菜单状态列表', '2021-12-02 09:55:59', '2021-12-02 09:55:59', NULL);
INSERT INTO `sys_dict_types` VALUES (9, '数字是否', 'sys_num_yes_no', '0', 'admin', '', '数字是否列表', '2021-12-02 10:13:29', '2021-12-02 10:13:40', '2021-12-02 10:15:07');
INSERT INTO `sys_dict_types` VALUES (10, '数字是否', 'sys_num_yes_no', '0', 'admin', '', '数字是否', '2021-12-02 10:13:29', '2021-12-02 10:13:29', NULL);
INSERT INTO `sys_dict_types` VALUES (11, '状态是否', 'sys_yes_no', '0', 'admin', '', '状态是否', '2021-12-04 13:47:57', '2021-12-04 13:47:57', NULL);
INSERT INTO `sys_dict_types` VALUES (12, '网络请求方法', 'sys_method_api', '0', 'admin', '', '网络请求方法列表', '2021-12-08 17:21:27', '2021-12-08 17:21:27', NULL);
INSERT INTO `sys_dict_types` VALUES (13, '成功失败', 'sys_common_status', '0', 'admin', '', '是否成功失败', '2021-12-17 10:10:03', '2021-12-17 10:10:03', NULL);
INSERT INTO `sys_dict_types` VALUES (27, '操作分类', 'sys_oper_type', '0', 'admin', '', '操作分类列表', '2021-12-17 11:29:50', '2021-12-17 11:29:50', NULL);
INSERT INTO `sys_dict_types` VALUES (28, '任务组', 'sys_job_group', '0', 'panda', '', '系统任务，开机自启', '2021-12-24 15:14:56', '2021-12-24 15:14:56', NULL);
INSERT INTO `sys_dict_types` VALUES (29, '通知类型', 'sys_notice_type', '0', 'panda', '', '通知类型列表', '2021-12-26 15:23:26', '2021-12-26 15:23:26', NULL);
INSERT INTO `sys_dict_types` VALUES (30, 'oss分类', 'res_oss_category', '0', 'panda', '', 'oss分类列表', '2022-01-13 15:43:29', '2022-01-13 15:43:29', NULL);
INSERT INTO `sys_dict_types` VALUES (31, 'sms分类', 'res_sms_category', '0', 'panda', '', 'sms分类列表', '2021-12-26 15:23:26', '2022-01-13 15:47:13', NULL);
INSERT INTO `sys_dict_types` VALUES (32, 'mail分类', 'res_mail_category', '0', 'panda', '', 'mail分类列表', '2022-01-14 15:43:17', '2022-01-14 15:43:17', NULL);
INSERT INTO `sys_dict_types` VALUES (33, '发布状态', 'sys_release_type', '0', 'panda', '', '发布状态', '2023-07-21 16:10:38', '2023-07-21 16:10:38', NULL);

-- ----------------------------
-- Table structure for sys_menus
-- ----------------------------
DROP TABLE IF EXISTS `sys_menus`;
CREATE TABLE `sys_menus`  (
  `menu_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `menu_name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `title` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `parent_id` int(0) NULL DEFAULT NULL,
  `sort` int(0) NULL DEFAULT NULL,
  `icon` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `path` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `component` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `is_iframe` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `is_link` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `menu_type` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `is_hide` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `is_keep_alive` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `is_affix` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `permission` varchar(32) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `status` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `create_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `update_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `remark` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`menu_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 178 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_menus
-- ----------------------------
INSERT INTO `sys_menus` VALUES (1, '系统设置', '', 0, 0, 'elementSetting', '/system', 'Layout', '1', '', 'M', '0', '0', '1', '', '0', 'admin', 'panda', '', '2021-12-02 11:04:08', '2021-12-28 13:32:21', NULL);
INSERT INTO `sys_menus` VALUES (3, '用户管理', '', 1, 1, 'elementUser', '/system/user', '/system/user/index', '1', '', 'C', '0', '1', '1', 'system:user:list', '0', 'admin', 'panda', '', '2021-12-02 14:07:56', '2021-12-28 13:32:44', NULL);
INSERT INTO `sys_menus` VALUES (4, '添加用户', '', 3, 1, '', '', '', '', '', 'F', '0', '', '', 'system:user:add', '0', 'admin', '', '', '2021-12-03 13:36:33', '2021-12-03 13:36:33', NULL);
INSERT INTO `sys_menus` VALUES (5, '编辑用户', '', 3, 1, '', '', '', '', '', 'F', '0', '', '', 'system:user:edit', '0', 'admin', '', '', '2021-12-03 13:48:13', '2021-12-03 13:48:13', NULL);
INSERT INTO `sys_menus` VALUES (6, '角色管理', '', 1, 2, 'elementUserFilled', '/system/role', '/system/role/index', '1', '', 'C', '0', '1', '1', 'system:role:list', '0', '', 'panda', '', '2021-12-03 13:51:55', '2022-07-16 10:23:21', NULL);
INSERT INTO `sys_menus` VALUES (7, '菜单管理', '', 1, 2, 'iconfont icon-juxingkaobei', '/system/menu', '/system/menu/index', '1', '', 'C', '0', '1', '1', 'system:menu:list', '0', 'admin', 'panda', '', '2021-12-03 13:54:44', '2021-12-28 13:33:19', NULL);
INSERT INTO `sys_menus` VALUES (8, '组织管理', '', 1, 3, 'iconfont icon-jiliandongxuanzeqi', '/system/organization', '/system/organization/index', '1', '', 'C', '0', '1', '1', 'system:organization:list', '0', '', 'panda', '', '2021-12-03 13:58:36', '2023-09-14 14:05:07', NULL);
INSERT INTO `sys_menus` VALUES (9, '岗位管理', '', 1, 4, 'iconfont icon-neiqianshujuchucun', '/system/post', '/system/post/index', '1', '', 'C', '0', '1', '1', 'system:post:list', '0', 'admin', 'panda', '', '2021-12-03 13:54:44', '2021-12-28 13:40:31', NULL);
INSERT INTO `sys_menus` VALUES (10, '字典管理', '', 1, 5, 'elementCellphone', '/system/dict', '/system/dict/index', '1', '', 'C', '0', '1', '1', 'system:dict:list', '0', 'admin', 'panda', '', '2021-12-03 13:54:44', '2021-12-28 13:40:50', NULL);
INSERT INTO `sys_menus` VALUES (11, '参数管理', '', 1, 6, 'elementDocumentCopy', '/system/config', '/system/config/index', '1', '', 'C', '0', '1', '1', 'system:config:list', '0', 'admin', 'panda', '', '2021-12-03 13:54:44', '2021-12-28 13:41:05', NULL);
INSERT INTO `sys_menus` VALUES (12, '个人中心', '', 0, 10, 'elementAvatar', '/personal', '/personal/index', '1', '', 'M', '1', '0', '0', '', '0', 'admin', 'panda', '', '2021-12-03 14:12:43', '2023-06-27 10:09:26', NULL);
INSERT INTO `sys_menus` VALUES (13, '添加配置', '', 11, 1, '', '', '', '', '', 'F', '', '', '', 'system:config:add', '0', 'admin', '', '', '2021-12-06 17:19:19', '2021-12-06 17:19:19', NULL);
INSERT INTO `sys_menus` VALUES (14, '修改配置', '', 11, 1, '', '', '', '', '', 'F', '', '', '', 'system:config:edit', '0', 'admin', '', '', '2021-12-06 17:20:30', '2021-12-06 17:20:30', NULL);
INSERT INTO `sys_menus` VALUES (15, '删除配置', '', 11, 1, '', '', '', '', '', 'F', '', '', '', 'system:config:delete', '0', 'admin', '', '', '2021-12-06 17:23:52', '2021-12-06 17:23:52', NULL);
INSERT INTO `sys_menus` VALUES (16, '导出配置', '', 11, 1, '', '', '', '', '', 'F', '', '', '', 'system:config:export', '0', 'admin', '', '', '2021-12-06 17:24:41', '2021-12-06 17:24:41', NULL);
INSERT INTO `sys_menus` VALUES (17, '新增角色', '', 6, 1, '', '', '', '', '', 'F', '', '', '', 'system:role:add', '0', 'admin', '', '', '2021-12-06 17:43:35', '2021-12-06 17:43:35', NULL);
INSERT INTO `sys_menus` VALUES (18, '删除角色', '', 6, 1, '', '', '', '', '', 'F', '', '', '', 'system:role:delete', '0', 'admin', '', '', '2021-12-06 17:44:10', '2021-12-06 17:44:10', NULL);
INSERT INTO `sys_menus` VALUES (19, '修改角色', '', 6, 1, '', '', '', '', '', 'F', '', '', '', 'system:role:edit', '0', 'admin', '', '', '2021-12-06 17:44:48', '2021-12-06 17:44:48', NULL);
INSERT INTO `sys_menus` VALUES (20, '导出角色', '', 6, 1, '', '', '', '', '', 'F', '', '', '', 'system:role:export', '0', 'admin', '', '', '2021-12-06 17:45:25', '2021-12-06 17:45:25', NULL);
INSERT INTO `sys_menus` VALUES (21, '添加菜单', '', 7, 1, '', '', '', '', '', 'F', '', '', '', 'system:menu:add', '0', 'admin', '', '', '2021-12-06 17:46:01', '2021-12-06 17:46:01', NULL);
INSERT INTO `sys_menus` VALUES (22, '修改菜单', '', 7, 1, '', '', '', '', '', 'F', '', '', '', 'system:menu:edit', '0', 'admin', '', '', '2021-12-06 17:46:24', '2021-12-06 17:46:24', NULL);
INSERT INTO `sys_menus` VALUES (23, '删除菜单', '', 7, 1, '', '', '', '', '', 'F', '', '', '', 'system:menu:delete', '0', 'admin', '', '', '2021-12-06 17:46:47', '2021-12-06 17:46:47', NULL);
INSERT INTO `sys_menus` VALUES (24, '添加部门', '', 8, 1, '', '', '', '', '', 'F', '', '', '', 'system:organization:add', '0', '', 'panda', '', '2021-12-07 09:33:58', '2023-09-14 14:05:20', NULL);
INSERT INTO `sys_menus` VALUES (25, '编辑部门', '', 8, 1, '', '', '', '', '', 'F', '', '', '', 'system:organization:edit', '0', '', 'panda', '', '2021-12-07 09:34:39', '2023-09-14 14:05:26', NULL);
INSERT INTO `sys_menus` VALUES (26, '删除部门', '', 8, 1, '', '', '', '', '', 'F', '', '', '', 'system:organization:delete', '0', '', 'panda', '', '2021-12-07 09:35:09', '2023-09-14 14:05:32', NULL);
INSERT INTO `sys_menus` VALUES (27, '导出部门', '', 8, 1, '', '', '', '', '', 'F', '', '', '', 'system:dept:export', '0', 'admin', '', '', '2021-12-07 09:35:51', '2021-12-07 09:35:51', '2021-12-07 09:36:37');
INSERT INTO `sys_menus` VALUES (28, '添加岗位', '', 9, 1, '', '', '', '', '', 'F', '', '', '', 'system:post:add', '0', 'admin', '', '', '2021-12-07 09:35:09', '2021-12-07 09:35:09', NULL);
INSERT INTO `sys_menus` VALUES (29, '编辑岗位', '', 9, 1, '', '', '', '', '', 'F', '', '', '', 'system:post:edit', '0', 'admin', '', '', '2021-12-07 09:35:09', '2021-12-07 09:35:09', NULL);
INSERT INTO `sys_menus` VALUES (30, '删除岗位', '', 9, 1, '', '', '', '', '', 'F', '', '', '', 'system:post:delete', '0', 'admin', '', '', '2021-12-07 09:35:09', '2021-12-07 09:35:09', NULL);
INSERT INTO `sys_menus` VALUES (31, '导出岗位', '', 9, 1, '', '', '', '', '', 'F', '', '', '', 'system:post:export', '0', 'admin', '', '', '2021-12-07 09:35:09', '2021-12-07 09:35:09', NULL);
INSERT INTO `sys_menus` VALUES (32, '添加字典类型', '', 10, 1, '', '', '', '', '', 'F', '', '', '', 'system:dictT:add', '0', 'admin', '', '', '2021-12-07 09:35:09', '2021-12-07 09:35:09', NULL);
INSERT INTO `sys_menus` VALUES (33, '编辑字典类型', '', 10, 1, '', '', '', '', '', 'F', '', '', '', 'system:dictT:edit', '0', 'admin', '', '', '2021-12-07 09:35:09', '2021-12-07 09:35:09', NULL);
INSERT INTO `sys_menus` VALUES (34, '删除字典类型', '', 10, 1, '', '', '', '', '', 'F', '', '', '', 'system:dictT:delete', '0', 'admin', '', '', '2021-12-07 09:35:09', '2021-12-07 09:35:09', NULL);
INSERT INTO `sys_menus` VALUES (35, '导出字典类型', '', 10, 1, '', '', '', '', '', 'F', '', '', '', 'system:dictT:export', '0', 'admin', '', '', '2021-12-07 09:35:09', '2021-12-07 09:35:09', NULL);
INSERT INTO `sys_menus` VALUES (36, '新增字典数据', '', 10, 1, '', '', '', '', '', 'F', '', '', '', 'system:dictD:add', '0', 'admin', '', '', '2021-12-07 09:35:09', '2021-12-07 09:35:09', NULL);
INSERT INTO `sys_menus` VALUES (37, '修改字典数据', '', 10, 1, '', '', '', '', '', 'F', '', '', '', 'system:dictD:edit', '0', 'admin', '', '', '2021-12-07 09:48:04', '2021-12-07 09:48:04', NULL);
INSERT INTO `sys_menus` VALUES (38, '删除字典数据', '', 10, 1, '', '', '', '', '', 'F', '', '', '', 'system:dictD:delete', '0', 'admin', '', '', '2021-12-07 09:48:42', '2021-12-07 09:48:42', NULL);
INSERT INTO `sys_menus` VALUES (39, 'API管理', '', 1, 2, 'iconfont icon-siweidaotu', '/system/api', '/system/api/index', '1', '', 'C', '0', '1', '1', 'system:api:list', '0', '', 'panda', '', '2021-12-09 09:09:13', '2022-07-16 10:23:42', NULL);
INSERT INTO `sys_menus` VALUES (40, '添加api', '', 39, 1, '', '/system/api', '', '', '', 'F', '', '', '', 'system:api:add', '0', 'admin', '', '', '2021-12-09 09:09:54', '2021-12-09 09:09:54', NULL);
INSERT INTO `sys_menus` VALUES (41, '编辑api', '', 39, 1, '', '/system/api', '', '', '', 'F', '', '', '', 'system:api:edit', '0', 'admin', '', '', '2021-12-09 09:10:38', '2021-12-09 09:10:38', NULL);
INSERT INTO `sys_menus` VALUES (42, '删除api', '', 39, 1, '', '/system/api', '', '', '', 'F', '', '', '', 'system:api:delete', '0', 'admin', '', '', '2021-12-09 09:11:11', '2021-12-09 09:11:11', NULL);
INSERT INTO `sys_menus` VALUES (43, '日志系统', '', 0, 11, 'iconfont icon-biaodan', '/log', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'admin', 'panda', '', '2021-12-02 11:04:08', '2023-06-30 08:57:08', NULL);
INSERT INTO `sys_menus` VALUES (44, '运维监控', '', 0, 9, 'iconfont icon-gongju', '/tool', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'admin', 'panda', '', '2021-12-16 16:35:15', '2023-06-27 10:09:16', NULL);
INSERT INTO `sys_menus` VALUES (45, '操作日志', '', 43, 1, 'iconfont icon-bolangnengshiyanchang', '/log/operation', '/log/operation/index', '1', '', 'C', '0', '1', '1', 'log:operation:list', '0', 'admin', 'panda', '', '2021-12-16 16:42:03', '2021-12-28 13:39:44', NULL);
INSERT INTO `sys_menus` VALUES (46, '登录日志', '', 43, 2, 'iconfont icon--chaifenlie', '/log/login', '/log/login/index', '1', '', 'C', '0', '1', '1', 'log:login:list', '0', 'admin', 'panda', '', '2021-12-16 16:43:28', '2021-12-28 13:39:58', NULL);
INSERT INTO `sys_menus` VALUES (47, '服务监控', '', 44, 1, 'elementCpu', '/tool/monitor/', '/tool/monitor/index', '1', '', 'C', '0', '1', '1', 'tool:monitor:list', '0', 'admin', 'panda', '', '2021-12-03 14:12:43', '2021-12-28 13:41:25', NULL);
INSERT INTO `sys_menus` VALUES (49, '开发工具', '', 0, 10, 'iconfont icon-zhongduancanshu', '/develop', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'admin', 'panda', '', '2021-12-16 16:53:11', '2023-06-29 16:29:23', NULL);
INSERT INTO `sys_menus` VALUES (50, '表单构建', '', 49, 1, 'iconfont icon-zidingyibuju', '/develop/form', '/develop/form/index', '1', '', 'C', '0', '1', '1', 'develop:form:list', '0', 'admin', 'panda', '', '2021-12-16 16:55:01', '2022-07-12 18:56:18', NULL);
INSERT INTO `sys_menus` VALUES (51, '代码生成', '', 49, 2, 'iconfont icon-zhongduancanshu', '/develop/code', '/develop/code/index', '1', '', 'C', '0', '1', '1', 'develop:code:list', '0', 'admin', '', '', '2021-12-16 16:56:48', '2021-12-16 16:56:48', NULL);
INSERT INTO `sys_menus` VALUES (52, '系统接口', '', 49, 3, 'iconfont icon-wenducanshu-05', '/develop/apis', '/layout/routerView/iframes', '0', 'https://82200r6gti.apifox.cn', 'C', '0', '1', '1', 'develop:apis:list', '0', '', 'panda', '', '2021-12-16 16:58:07', '2023-09-04 11:02:29', NULL);
INSERT INTO `sys_menus` VALUES (54, '对象存储', '', 53, 1, 'iconfont icon-chazhaobiaodanliebiao', '/resource/file', '/resource/file/index', '1', '', 'C', '0', '1', '1', 'resource:file:list', '0', 'admin', 'panda', '', '2021-12-16 17:06:04', '2022-01-13 17:30:09', NULL);
INSERT INTO `sys_menus` VALUES (55, '公告通知', '', 44, 3, 'elementTicket', '/tool/notice', '/tool/notice/index', '1', '', 'C', '0', '1', '1', 'tool:notice:list', '0', 'admin', 'panda', '', '2021-12-16 22:09:11', '2021-12-28 13:42:39', NULL);
INSERT INTO `sys_menus` VALUES (59, '删除', '', 45, 1, '', '', '', '', '', 'F', '', '', '', 'log:operation:delete', '0', 'panda', '', '', '2022-01-14 13:28:25', '2022-01-14 13:28:25', NULL);
INSERT INTO `sys_menus` VALUES (60, '清空', '', 45, 1, '', '', '', '', '', 'F', '', '', '', 'log:operation:clean', '0', 'panda', '', '', '2022-01-14 13:29:24', '2022-01-14 13:29:24', NULL);
INSERT INTO `sys_menus` VALUES (63, '删除', '', 46, 1, '', '', '', '', '', 'F', '', '', '', 'log:login:delete', '0', 'panda', '', '', '2022-01-14 13:30:46', '2022-01-14 13:30:46', NULL);
INSERT INTO `sys_menus` VALUES (64, '清空', '', 46, 1, '', '', '', '', '', 'F', '', '', '', 'log:login:clean', '0', 'panda', '', '', '2022-01-14 13:31:06', '2022-01-14 13:31:06', NULL);
INSERT INTO `sys_menus` VALUES (69, '添加', '', 55, 1, '', '', '', '', '', 'F', '', '', '', 'tool:notice:add', '0', 'panda', '', '', '2022-01-14 13:35:23', '2022-01-14 13:35:23', NULL);
INSERT INTO `sys_menus` VALUES (70, '编辑', '', 55, 1, '', '', '', '', '', 'F', '', '', '', 'tool:notice:edit', '0', 'panda', '', '', '2022-01-14 13:36:04', '2022-01-14 13:36:04', NULL);
INSERT INTO `sys_menus` VALUES (71, '删除', '', 55, 1, '', '', '', '', '', 'F', '', '', '', 'tool:notice:delete', '0', 'panda', '', '', '2022-01-14 13:36:26', '2022-01-14 13:36:26', NULL);
INSERT INTO `sys_menus` VALUES (72, '查看', '', 55, 1, '', '', '', '', '', 'F', '', '', '', 'tool:notice:view', '0', 'panda', '', '', '2022-01-14 13:36:51', '2022-01-14 13:36:51', NULL);
INSERT INTO `sys_menus` VALUES (73, '导入', '', 51, 1, '', '', '', '', '', 'F', '', '', '', 'develop:code:add', '0', 'panda', '', '', '2022-01-14 13:38:35', '2022-01-14 13:38:35', NULL);
INSERT INTO `sys_menus` VALUES (74, '编辑', '', 51, 1, '', '', '', '', '', 'F', '', '', '', 'develop:code:edit', '0', 'panda', '', '', '2022-01-14 13:41:25', '2022-01-14 13:41:25', NULL);
INSERT INTO `sys_menus` VALUES (75, '删除', '', 51, 1, '', '', '', '', '', 'F', '', '', '', 'develop:code:delete', '0', 'panda', '', '', '2022-01-14 13:41:42', '2022-01-14 13:41:42', NULL);
INSERT INTO `sys_menus` VALUES (76, '预览', '', 51, 1, '', '', '', '', '', 'F', '', '', '', 'develop:code:view', '0', 'panda', '', '', '2022-01-14 13:42:01', '2022-01-14 13:42:01', NULL);
INSERT INTO `sys_menus` VALUES (77, '生成代码', '', 51, 1, '', '', '', '', '', 'F', '', '', '', 'develop:code:code', '0', 'panda', '', '', '2022-01-14 13:42:48', '2022-01-14 13:42:48', NULL);
INSERT INTO `sys_menus` VALUES (95, '设备管理', '', 0, 1, 'iconfont icon-dongtai', '/device', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'panda', 'panda', '', '2023-06-29 16:21:31', '2023-09-02 15:03:55', NULL);
INSERT INTO `sys_menus` VALUES (96, '规则链库', '', 0, 2, 'iconfont icon-shuxingtu', '/rule', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'panda', 'panda', '', '2023-06-29 16:33:23', '2023-09-02 15:04:06', NULL);
INSERT INTO `sys_menus` VALUES (97, '组态大屏', '', 0, 3, 'iconfont icon-diannaobangong', '/visual', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'panda', 'panda', '', '2023-06-29 16:34:50', '2023-07-21 14:41:55', NULL);
INSERT INTO `sys_menus` VALUES (98, '产品分类', '', 95, 1, 'iconfont icon-jiliandongxuanzeqi', '/device/product_category', '/device/product_category/index', '1', '', 'C', '0', '1', '1', 'product:category:list', '0', '', 'panda', '', '2023-06-29 16:44:56', '2023-06-29 16:49:55', NULL);
INSERT INTO `sys_menus` VALUES (99, '产品', '', 95, 2, 'iconfont icon-AIshiyanshi', '/device/product', '/device/product/index', '1', '', 'C', '0', '1', '1', 'product:list', '0', '', 'panda', '', '2023-06-29 16:46:16', '2023-06-29 16:50:34', '2023-06-30 14:16:11');
INSERT INTO `sys_menus` VALUES (100, '设备分组', '', 95, 3, 'iconfont icon-zidingyibuju', '/device/device_group', '/device/device_group/index', '1', '', 'C', '0', '1', '1', 'device:group:list', '0', '', 'panda', '', '2023-06-29 16:48:05', '2023-06-29 16:50:49', NULL);
INSERT INTO `sys_menus` VALUES (101, '设备', '', 95, 4, 'iconfont icon-dongtai', '/device/device', '/device/device/index', '1', '', 'C', '0', '1', '1', 'device:list', '0', '', 'panda', '', '2023-06-29 16:49:03', '2023-06-29 16:50:59', '2023-06-30 14:16:48');
INSERT INTO `sys_menus` VALUES (102, '添加', '', 98, 1, '', '', '', '', '', 'F', '', '', '', 'product:category:add', '0', 'panda', '', '', '2023-06-29 16:51:38', '2023-06-29 16:51:38', NULL);
INSERT INTO `sys_menus` VALUES (103, '修改', '', 98, 2, '', '', '', '', '', 'F', '', '', '', 'product:category:edit', '0', 'panda', '', '', '2023-06-29 16:52:00', '2023-06-29 16:52:00', NULL);
INSERT INTO `sys_menus` VALUES (104, '删除', '', 98, 3, '', '', '', '', '', 'F', '', '', '', 'product:category:delete', '0', 'panda', '', '', '2023-06-29 16:52:36', '2023-06-29 16:52:36', NULL);
INSERT INTO `sys_menus` VALUES (105, '新增', '', 100, 1, '', '', '', '', '', 'F', '', '', '', 'device:group:add', '0', 'panda', '', '', '2023-06-29 16:53:16', '2023-06-29 16:53:16', NULL);
INSERT INTO `sys_menus` VALUES (106, '修改', '', 100, 2, '', '', '', '', '', 'F', '', '', '', 'device:group:edit', '0', 'panda', '', '', '2023-06-29 16:53:37', '2023-06-29 16:53:37', NULL);
INSERT INTO `sys_menus` VALUES (107, '删除', '', 100, 3, '', '', '', '', '', 'F', '', '', '', 'device:group:delete', '0', 'panda', '', '', '2023-06-29 16:53:56', '2023-06-29 16:53:56', NULL);
INSERT INTO `sys_menus` VALUES (108, '克隆', '', 96, 1, '', '', '', '', '', 'F', '', '', '', 'rulechain:clone', '0', 'panda', '', '', '2023-06-29 16:54:33', '2023-06-29 16:54:33', '2023-07-21 14:41:09');
INSERT INTO `sys_menus` VALUES (109, '设计', '', 96, 2, '', '', '', '', '', 'F', '', '', '', 'rulechain:design', '0', 'panda', '', '', '2023-06-29 16:55:18', '2023-06-29 16:55:18', '2023-07-21 14:41:14');
INSERT INTO `sys_menus` VALUES (110, '预览', '', 96, 3, '', '', '', '', '', 'F', '', '', '', 'rulechain:view', '0', 'panda', '', '', '2023-06-29 16:55:39', '2023-06-29 16:55:39', '2023-07-21 14:41:18');
INSERT INTO `sys_menus` VALUES (111, '修改', '', 96, 4, '', '', '', '', '', 'F', '', '', '', 'rulechain:edit', '0', 'panda', '', '', '2023-06-29 16:55:59', '2023-06-29 16:55:59', '2023-07-21 14:41:30');
INSERT INTO `sys_menus` VALUES (112, '删除', '', 96, 5, '', '', '', '', '', 'F', '', '', '', 'rulechain:delete', '0', 'panda', '', '', '2023-06-29 16:56:15', '2023-06-29 16:56:15', '2023-07-21 14:41:26');
INSERT INTO `sys_menus` VALUES (113, '添加', '', 96, 6, '', '', '', '', '', 'F', '', '', '', 'rulechain:add', '0', 'panda', '', '', '2023-06-29 16:56:37', '2023-06-29 16:56:37', '2023-07-21 14:41:21');
INSERT INTO `sys_menus` VALUES (114, '产品管理', '', 95, 2, 'elementCpu', '/device/product', '/device/product/index', '1', '', 'C', '0', '1', '1', 'device:product:list', '0', '', 'panda', '', '2023-06-30 14:13:39', '2023-07-21 16:03:31', NULL);
INSERT INTO `sys_menus` VALUES (115, '新增产品', '', 114, 1, '', '', '', '', '', 'F', '', '', '', 'device:product:add', '0', 'admin', '', '', '2023-06-30 14:13:39', '2023-06-30 14:13:39', NULL);
INSERT INTO `sys_menus` VALUES (116, '修改产品', '', 114, 2, '', '', '', '', '', 'F', '', '', '', 'device:product:edit', '0', 'admin', '', '', '2023-06-30 14:13:39', '2023-06-30 14:13:39', NULL);
INSERT INTO `sys_menus` VALUES (117, '删除产品', '', 114, 3, '', '', '', '', '', 'F', '', '', '', 'device:product:delete', '0', 'admin', '', '', '2023-06-30 14:13:39', '2023-06-30 14:13:39', NULL);
INSERT INTO `sys_menus` VALUES (118, '设备管理', '', 95, 4, 'elementSetting', '/device/device', '/device/device/index', '1', '', 'C', '0', '1', '1', 'device:device:list', '0', '', 'panda', '', '2023-06-30 14:20:03', '2023-07-21 16:03:41', NULL);
INSERT INTO `sys_menus` VALUES (119, '修改设备', '', 118, 2, '', '', '', '', '', 'F', '', '', '', 'device:device:edit', '0', 'admin', '', '', '2023-06-30 14:20:03', '2023-06-30 14:20:03', NULL);
INSERT INTO `sys_menus` VALUES (120, '新增设备', '', 118, 1, '', '', '', '', '', 'F', '', '', '', 'device:device:add', '0', 'admin', '', '', '2023-06-30 14:20:03', '2023-06-30 14:20:03', NULL);
INSERT INTO `sys_menus` VALUES (121, '删除设备', '', 118, 3, '', '', '', '', '', 'F', '', '', '', 'device:device:delete', '0', 'admin', '', '', '2023-06-30 14:20:03', '2023-06-30 14:20:03', NULL);
INSERT INTO `sys_menus` VALUES (122, '查看', '', 114, 4, '', '', '', '', '', 'F', '', '', '', 'device:product:view', '0', 'panda', '', '', '2023-07-05 17:14:20', '2023-07-05 17:14:20', NULL);
INSERT INTO `sys_menus` VALUES (131, '查看设备', '', 118, 4, '', '', '', '', '', 'F', '', '', '', 'device:device:view', '0', 'panda', '', '', '2023-07-10 08:50:48', '2023-07-10 08:50:48', NULL);
INSERT INTO `sys_menus` VALUES (132, '规则设计', '', 96, 1, 'iconfont icon-shuxingtu', '/rule/chain', '/rule/chain/index', '1', '', 'C', '0', '1', '1', 'rule:chain:list', '0', '', 'panda', '', '2023-07-21 14:38:54', '2023-09-02 14:33:03', NULL);
INSERT INTO `sys_menus` VALUES (133, '克隆', '', 132, 1, '', '', '', '', '', 'F', '', '', '', 'rule:chain:clone', '0', '', 'panda', '', '2023-07-21 14:39:27', '2023-07-21 14:57:05', NULL);
INSERT INTO `sys_menus` VALUES (134, '设计', '', 132, 2, '', '', '', '', '', 'F', '', '', '', 'rule:chain:design', '0', '', 'panda', '', '2023-07-21 14:39:53', '2023-07-21 14:57:13', NULL);
INSERT INTO `sys_menus` VALUES (135, '预览', '', 132, 3, '', '', '', '', '', 'F', '', '', '', 'rule:chain:view', '0', '', 'panda', '', '2023-07-21 14:40:08', '2023-07-21 14:57:20', NULL);
INSERT INTO `sys_menus` VALUES (136, '修改', '', 132, 4, '', '', '', '', '', 'F', '', '', '', 'rule:chain:edit', '0', '', 'panda', '', '2023-07-21 14:40:31', '2023-07-21 14:57:26', NULL);
INSERT INTO `sys_menus` VALUES (137, '删除', '', 132, 5, '', '', '', '', '', 'F', '', '', '', 'rule:chain:delete', '0', '', 'panda', '', '2023-07-21 14:40:47', '2023-07-21 14:57:33', NULL);
INSERT INTO `sys_menus` VALUES (138, '添加', '', 132, 6, '', '', '', '', '', 'F', '', '', '', 'rule:chain:add', '0', '', 'panda', '', '2023-07-21 14:41:04', '2023-07-21 14:57:39', NULL);
INSERT INTO `sys_menus` VALUES (139, '大屏分组', '', 97, 1, 'iconfont icon-wenducanshu-05', '/visual/screen_group', '/visual/screen_group/index', '1', '', 'C', '0', '1', '1', 'screen:group:list', '0', 'panda', '', '', '2023-07-21 14:46:41', '2023-07-21 14:46:41', NULL);
INSERT INTO `sys_menus` VALUES (140, '组态大屏', '', 97, 2, 'iconfont icon-diannaobangong', '/visual/screen', '/visual/screen/index', '1', '', 'C', '0', '1', '1', 'visual:screen:list', '0', 'panda', '', '', '2023-07-21 14:47:46', '2023-07-21 14:47:46', NULL);
INSERT INTO `sys_menus` VALUES (141, '添加', '', 139, 1, '', '', '', '', '', 'F', '', '', '', 'screen:group:add', '0', 'panda', '', '', '2023-07-21 14:50:40', '2023-07-21 14:50:40', NULL);
INSERT INTO `sys_menus` VALUES (142, '编辑', '', 139, 2, '', '', '', '', '', 'F', '', '', '', 'screen:group:edit', '0', 'panda', '', '', '2023-07-21 14:50:56', '2023-07-21 14:50:56', NULL);
INSERT INTO `sys_menus` VALUES (143, '删除', '', 139, 3, '', '', '', '', '', 'F', '', '', '', '	 screen:group:delete', '0', 'panda', '', '', '2023-07-21 14:51:22', '2023-07-21 14:51:22', NULL);
INSERT INTO `sys_menus` VALUES (144, '新增组态', '', 140, 1, '', '', '', '', '', 'F', '', '', '', 'visual:screen:add', '0', 'panda', '', '', '2023-07-21 14:53:26', '2023-07-21 14:53:26', NULL);
INSERT INTO `sys_menus` VALUES (145, '修改大屏', '', 140, 2, '', '', '', '', '', 'F', '', '', '', 'visual:screen:edit', '0', 'panda', '', '', '2023-07-21 14:53:50', '2023-07-21 14:53:50', NULL);
INSERT INTO `sys_menus` VALUES (146, '删除大屏', '', 140, 3, '', '', '', '', '', 'F', '', '', '', 'visual:screen:delete', '0', 'panda', '', '', '2023-07-21 14:54:14', '2023-07-21 14:54:14', NULL);
INSERT INTO `sys_menus` VALUES (147, '克隆', '', 140, 4, '', '', '', '', '', 'F', '', '', '', 'visual:screen:clone', '0', 'panda', '', '', '2023-07-21 14:54:30', '2023-07-21 14:54:30', NULL);
INSERT INTO `sys_menus` VALUES (148, '设计', '', 140, 5, '', '', '', '', '', 'F', '', '', '', 'visual:screen:design', '0', 'panda', '', '', '2023-07-21 14:54:57', '2023-07-21 14:54:57', NULL);
INSERT INTO `sys_menus` VALUES (149, '预览', '', 140, 6, '', '', '', '', '', 'F', '', '', '', 'visual:screen:view', '0', 'panda', '', '', '2023-07-21 14:55:27', '2023-07-21 14:55:27', NULL);
INSERT INTO `sys_menus` VALUES (150, '报表管理', '', 0, 4, 'iconfont icon-putong', '/report', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'panda', 'panda', '', '2023-07-24 10:12:26', '2023-07-24 10:13:54', '2023-08-18 14:01:16');
INSERT INTO `sys_menus` VALUES (151, '报表设计', '', 150, 1, 'iconfont icon-dayin', '/report', '/layout/routerView/iframes', '0', 'http://101.35.247.125:9001/edit', 'C', '0', '1', '1', 'report:list', '0', 'panda', '', '', '2023-07-24 10:13:47', '2023-07-24 10:13:47', '2023-08-18 14:01:12');
INSERT INTO `sys_menus` VALUES (152, '任务中心', '', 0, 5, 'iconfont icon-dayin', '/job', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'panda', 'panda', '', '2023-08-08 14:08:11', '2023-10-05 14:03:38', NULL);
INSERT INTO `sys_menus` VALUES (153, '任务中心', '', 152, 1, 'elementAlarmClock', '/job/job', '/job/job/index', '1', '', 'C', '0', '1', '1', 'job:list', '0', '', 'panda', '', '2023-08-08 14:10:37', '2023-08-08 14:12:49', NULL);
INSERT INTO `sys_menus` VALUES (154, '任务日志', '', 152, 2, 'elementDocument', '/job/log', '/job/log/index', '1', '', 'C', '0', '1', '1', 'job:log:list', '0', 'panda', '', '', '2023-08-08 14:12:37', '2023-08-08 14:12:37', NULL);
INSERT INTO `sys_menus` VALUES (155, '新增', '', 153, 1, '', '', '', '', '', 'F', '', '', '', 'job:add', '0', 'panda', '', '', '2023-08-08 14:20:17', '2023-08-08 14:20:17', NULL);
INSERT INTO `sys_menus` VALUES (156, '编辑', '', 153, 2, '', '', '', '', '', 'F', '', '', '', 'job:edit', '0', 'panda', '', '', '2023-08-08 14:20:44', '2023-08-08 14:20:44', NULL);
INSERT INTO `sys_menus` VALUES (157, '删除', '', 153, 3, '', '', '', '', '', 'F', '', '', '', 'job:delete', '0', 'panda', '', '', '2023-08-08 14:21:03', '2023-08-08 14:21:03', NULL);
INSERT INTO `sys_menus` VALUES (158, '运行启动', '', 153, 4, '', '', '', '', '', 'F', '', '', '', 'job:run', '0', 'panda', '', '', '2023-08-08 14:21:25', '2023-08-08 14:21:25', NULL);
INSERT INTO `sys_menus` VALUES (159, '删除', '', 154, 1, '', '', '', '', '', 'F', '', '', '', 'job:log:delete', '0', 'panda', '', '', '2023-08-08 14:22:05', '2023-08-08 14:22:05', NULL);
INSERT INTO `sys_menus` VALUES (160, '清空', '', 154, 2, '', '', '', '', '', 'F', '', '', '', 'job:log:clean', '0', 'panda', '', '', '2023-08-08 14:22:33', '2023-08-08 14:22:33', NULL);
INSERT INTO `sys_menus` VALUES (161, '视频监控', '', 0, 4, 'iconfont icon-step', '/video', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'panda', 'panda', '', '2023-09-02 13:52:17', '2023-10-05 14:04:19', NULL);
INSERT INTO `sys_menus` VALUES (164, '视频广场', '', 161, 3, 'elementGrid', '/video/splitview', '/video/splitview/index', '1', '', 'C', '0', '1', '1', 'video:splitview:list', '0', 'panda', '', '', '2023-09-02 14:00:41', '2023-09-02 14:00:41', NULL);
INSERT INTO `sys_menus` VALUES (165, '规则审计', '', 96, 2, 'iconfont icon--chaifenhang', '/rule/log', '/rule/log/index', '1', '', 'C', '0', '1', '1', 'rule:log:list', '0', 'panda', '', '', '2023-09-02 14:05:46', '2023-09-02 14:05:46', NULL);
INSERT INTO `sys_menus` VALUES (166, '告警中心', '', 0, 6, 'iconfont icon-radio-off-full', '/alarm', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'panda', 'panda', '', '2023-09-02 14:10:27', '2023-09-02 14:11:21', NULL);
INSERT INTO `sys_menus` VALUES (167, '告警日志', '', 166, 1, 'iconfont icon-jiliandongxuanzeqi', '/alarm/log', '/alarm/log/index', '1', '', 'C', '0', '1', '1', 'alarm:log:list', '0', 'panda', '', '', '2023-09-02 14:12:13', '2023-09-02 14:12:13', NULL);
INSERT INTO `sys_menus` VALUES (168, '设备地图', '', 95, 5, 'iconfont icon-ditu', 'device:map', '/device/map/index', '1', '', 'C', '0', '1', '1', 'device:map:list', '0', 'panda', '', '', '2023-09-02 14:14:00', '2023-09-02 14:14:00', NULL);
INSERT INTO `sys_menus` VALUES (169, '边缘管理', '', 0, 7, 'iconfont icon-wendu', '/edge', 'Layout', '1', '', 'M', '1', '1', '1', '', '0', 'panda', 'panda', '', '2023-09-02 14:27:39', '2023-10-05 10:15:19', NULL);
INSERT INTO `sys_menus` VALUES (170, '网关管理', '', 169, 1, 'iconfont icon-gouxuan-weixuanzhong-xianxingfangkuang', '/edge/gateway', '/edge/gateway/index', '1', '', 'C', '0', '1', '1', 'edge:gateway:list', '0', '', 'panda', '', '2023-09-02 14:44:13', '2023-09-19 10:20:34', NULL);
INSERT INTO `sys_menus` VALUES (171, '采集器', '', 169, 2, 'iconfont icon-wendu', '/edge/collector', '/edge/collector/index', '1', '', 'C', '0', '1', '1', 'edge:collector:list', '0', '', 'panda', '', '2023-09-02 14:45:31', '2023-09-19 10:20:57', NULL);
INSERT INTO `sys_menus` VALUES (172, '应用管理', '', 0, 8, 'iconfont icon-shoujidiannao', '/apply', 'Layout', '1', '', 'M', '1', '1', '1', '', '1', 'panda', 'panda', '', '2023-09-02 14:50:48', '2023-09-04 10:55:19', NULL);
INSERT INTO `sys_menus` VALUES (173, '应用商店', '', 172, 1, 'iconfont icon-shoujidiannao', '/apply/common', '/apply/common/index', '1', '', 'C', '0', '1', '1', 'apply:common:list', '0', 'panda', '', '', '2023-09-02 14:51:56', '2023-09-02 14:51:56', NULL);
INSERT INTO `sys_menus` VALUES (174, '我的应用', '', 172, 2, 'iconfont icon-LoggedinPC', '/apply/meapp', '/apply/meapp/index', '1', '', 'C', '0', '1', '1', 'apply:meapp:list', '0', 'panda', '', '', '2023-09-02 14:52:45', '2023-09-02 14:52:45', NULL);
INSERT INTO `sys_menus` VALUES (175, '萤石设备', '', 161, 2, 'iconfont icon-gerenzhongxin', '/video/ezviz', '/video/ezviz/index', '1', '', 'C', '0', '1', '1', 'video:ezviz:list', '0', 'panda', '', '', '2023-09-05 10:05:27', '2023-09-05 10:05:27', NULL);
INSERT INTO `sys_menus` VALUES (176, '国标设备', '', 161, 1, 'iconfont icon-wendu', '/video/gb28181', '/video/gb28181/index', '1', '', 'C', '0', '1', '1', 'video:gb28181:list', '0', 'panda', '', '', '2023-09-05 10:07:07', '2023-09-05 10:07:07', NULL);
INSERT INTO `sys_menus` VALUES (177, '分配设备', '', 118, 5, '', '', '', '', '', 'F', '', '', '', 'device:device:allot', '0', 'panda', '', '', '2023-09-15 17:32:08', '2023-09-15 17:32:08', NULL);

-- ----------------------------
-- Table structure for sys_notices
-- ----------------------------
DROP TABLE IF EXISTS `sys_notices`;
CREATE TABLE `sys_notices`  (
  `notice_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `title` varchar(128) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '标题',
  `content` text CHARACTER SET utf8 COLLATE utf8_general_ci NULL COMMENT '标题',
  `notice_type` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '通知类型',
  `organization_id` int(0) NULL DEFAULT NULL COMMENT '部门Id,部门及子部门',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  `user_name` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  PRIMARY KEY (`notice_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 3 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

-- ----------------------------
-- Records of sys_notices
-- ----------------------------
INSERT INTO `sys_notices` VALUES (1, '关于学习交流的通知', '<p>发布<b>入群</b>通知&nbsp;<span style=\"color: var(--el-text-color-regular);\">467890197, 交流学习</span><span style=\"font-size: 14px; color: var(--el-text-color-regular);\"></span></p>', '1', 0, '2021-12-26 15:29:25', '2021-12-26 16:19:48', NULL, 'panda');
INSERT INTO `sys_notices` VALUES (2, 'test', '<p>sdsad</p>', '1', 2, '2021-12-26 16:23:13', '2021-12-26 16:23:13', '2021-12-26 16:31:31', 'panda');
INSERT INTO `sys_notices` VALUES (3, '版本更新通知：任务功能，通知功能完成', '<p><span style=\"font-size: 14px; color: var(--el-text-color-regular);\">', '1', 0, '2021-12-26 17:33:47', '2021-12-26 17:33:47', NULL, 'panda');

-- ----------------------------
-- Table structure for sys_organizations
-- ----------------------------
DROP TABLE IF EXISTS `sys_organizations`;
CREATE TABLE `sys_organizations`  (
  `organization_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `parent_id` int(0) NULL DEFAULT NULL COMMENT '上级组织',
  `organization_path` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '组织路径',
  `organization_name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '组织名称',
  `sort` int(0) NULL DEFAULT NULL COMMENT '排序',
  `leader` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '负责人',
  `phone` varchar(11) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '手机',
  `email` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '邮箱',
  `status` char(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '状态',
  `create_by` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '创建人',
  `update_by` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '修改人',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`organization_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_organizations
-- ----------------------------
INSERT INTO `sys_organizations` VALUES (2, 0, '/0/2', '熊猫科技', 0, 'xm', '18353366836', '342@qq.com', '0', 'admin', 'admin', '2021-12-01 17:31:53', '2021-12-02 08:56:19', NULL);
INSERT INTO `sys_organizations` VALUES (3, 2, '/0/2/3', '研发部', 1, 'panda', '18353366543', 'ewr@qq.com', '0', 'admin', 'admin', '2021-12-01 17:37:43', '2021-12-02 08:55:56', NULL);
INSERT INTO `sys_organizations` VALUES (7, 2, '/0/2/7', '营销部', 2, 'panda', '18353333333', '342@qq.com', '0', 'panda', 'panda', '2021-12-24 10:46:24', '2021-12-24 10:47:15', NULL);

-- ----------------------------
-- Table structure for sys_posts
-- ----------------------------
DROP TABLE IF EXISTS `sys_posts`;
CREATE TABLE `sys_posts`  (
  `post_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `post_name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '岗位名称',
  `post_code` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '岗位代码',
  `sort` int(0) NULL DEFAULT NULL COMMENT '岗位排序',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '状态',
  `remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '描述',
  `create_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `update_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`post_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_posts
-- ----------------------------
INSERT INTO `sys_posts` VALUES (1, '首席执行官', 'CEO', 1, '0', '首席执行官', 'panda', '', '2021-12-02 09:21:44', '2022-07-16 17:36:32', NULL);
INSERT INTO `sys_posts` VALUES (4, '首席技术执行官', 'CTO', 2, '0', '', 'panda', '', '2021-12-02 09:21:44', '2022-07-16 17:37:42', NULL);

-- ----------------------------
-- Table structure for sys_role_menus
-- ----------------------------
DROP TABLE IF EXISTS `sys_role_menus`;
CREATE TABLE `sys_role_menus`  (
  `id` bigint(0) NOT NULL AUTO_INCREMENT,
  `role_id` int(0) NULL DEFAULT NULL,
  `menu_id` int(0) NULL DEFAULT NULL,
  `role_name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 7878 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_role_menus
-- ----------------------------
INSERT INTO `sys_role_menus` VALUES (6590, 5, 1, 'test');
INSERT INTO `sys_role_menus` VALUES (6591, 5, 3, 'test');
INSERT INTO `sys_role_menus` VALUES (6592, 5, 4, 'test');
INSERT INTO `sys_role_menus` VALUES (6593, 5, 5, 'test');
INSERT INTO `sys_role_menus` VALUES (6594, 5, 6, 'test');
INSERT INTO `sys_role_menus` VALUES (6595, 5, 7, 'test');
INSERT INTO `sys_role_menus` VALUES (6596, 5, 8, 'test');
INSERT INTO `sys_role_menus` VALUES (6597, 5, 9, 'test');
INSERT INTO `sys_role_menus` VALUES (6598, 5, 10, 'test');
INSERT INTO `sys_role_menus` VALUES (6599, 5, 11, 'test');
INSERT INTO `sys_role_menus` VALUES (6600, 5, 13, 'test');
INSERT INTO `sys_role_menus` VALUES (6601, 5, 14, 'test');
INSERT INTO `sys_role_menus` VALUES (6602, 5, 15, 'test');
INSERT INTO `sys_role_menus` VALUES (6603, 5, 16, 'test');
INSERT INTO `sys_role_menus` VALUES (6604, 5, 17, 'test');
INSERT INTO `sys_role_menus` VALUES (6605, 5, 18, 'test');
INSERT INTO `sys_role_menus` VALUES (6606, 5, 19, 'test');
INSERT INTO `sys_role_menus` VALUES (6607, 5, 20, 'test');
INSERT INTO `sys_role_menus` VALUES (6608, 5, 21, 'test');
INSERT INTO `sys_role_menus` VALUES (6609, 5, 22, 'test');
INSERT INTO `sys_role_menus` VALUES (6610, 5, 23, 'test');
INSERT INTO `sys_role_menus` VALUES (6611, 5, 24, 'test');
INSERT INTO `sys_role_menus` VALUES (6612, 5, 25, 'test');
INSERT INTO `sys_role_menus` VALUES (6613, 5, 26, 'test');
INSERT INTO `sys_role_menus` VALUES (6614, 5, 28, 'test');
INSERT INTO `sys_role_menus` VALUES (6615, 5, 29, 'test');
INSERT INTO `sys_role_menus` VALUES (6616, 5, 30, 'test');
INSERT INTO `sys_role_menus` VALUES (6617, 5, 31, 'test');
INSERT INTO `sys_role_menus` VALUES (6618, 5, 32, 'test');
INSERT INTO `sys_role_menus` VALUES (6619, 5, 33, 'test');
INSERT INTO `sys_role_menus` VALUES (6620, 5, 34, 'test');
INSERT INTO `sys_role_menus` VALUES (6621, 5, 35, 'test');
INSERT INTO `sys_role_menus` VALUES (6622, 5, 36, 'test');
INSERT INTO `sys_role_menus` VALUES (6623, 5, 37, 'test');
INSERT INTO `sys_role_menus` VALUES (6624, 5, 38, 'test');
INSERT INTO `sys_role_menus` VALUES (6625, 5, 39, 'test');
INSERT INTO `sys_role_menus` VALUES (6626, 5, 40, 'test');
INSERT INTO `sys_role_menus` VALUES (6627, 5, 41, 'test');
INSERT INTO `sys_role_menus` VALUES (6628, 5, 42, 'test');
INSERT INTO `sys_role_menus` VALUES (7377, 2, 1, 'manage');
INSERT INTO `sys_role_menus` VALUES (7378, 2, 3, 'manage');
INSERT INTO `sys_role_menus` VALUES (7379, 2, 4, 'manage');
INSERT INTO `sys_role_menus` VALUES (7380, 2, 5, 'manage');
INSERT INTO `sys_role_menus` VALUES (7381, 2, 6, 'manage');
INSERT INTO `sys_role_menus` VALUES (7382, 2, 7, 'manage');
INSERT INTO `sys_role_menus` VALUES (7383, 2, 8, 'manage');
INSERT INTO `sys_role_menus` VALUES (7384, 2, 9, 'manage');
INSERT INTO `sys_role_menus` VALUES (7385, 2, 10, 'manage');
INSERT INTO `sys_role_menus` VALUES (7386, 2, 11, 'manage');
INSERT INTO `sys_role_menus` VALUES (7387, 2, 12, 'manage');
INSERT INTO `sys_role_menus` VALUES (7388, 2, 13, 'manage');
INSERT INTO `sys_role_menus` VALUES (7389, 2, 14, 'manage');
INSERT INTO `sys_role_menus` VALUES (7390, 2, 15, 'manage');
INSERT INTO `sys_role_menus` VALUES (7391, 2, 16, 'manage');
INSERT INTO `sys_role_menus` VALUES (7392, 2, 17, 'manage');
INSERT INTO `sys_role_menus` VALUES (7393, 2, 18, 'manage');
INSERT INTO `sys_role_menus` VALUES (7394, 2, 19, 'manage');
INSERT INTO `sys_role_menus` VALUES (7395, 2, 20, 'manage');
INSERT INTO `sys_role_menus` VALUES (7396, 2, 21, 'manage');
INSERT INTO `sys_role_menus` VALUES (7397, 2, 22, 'manage');
INSERT INTO `sys_role_menus` VALUES (7398, 2, 23, 'manage');
INSERT INTO `sys_role_menus` VALUES (7399, 2, 24, 'manage');
INSERT INTO `sys_role_menus` VALUES (7400, 2, 25, 'manage');
INSERT INTO `sys_role_menus` VALUES (7401, 2, 26, 'manage');
INSERT INTO `sys_role_menus` VALUES (7402, 2, 28, 'manage');
INSERT INTO `sys_role_menus` VALUES (7403, 2, 29, 'manage');
INSERT INTO `sys_role_menus` VALUES (7404, 2, 30, 'manage');
INSERT INTO `sys_role_menus` VALUES (7405, 2, 31, 'manage');
INSERT INTO `sys_role_menus` VALUES (7406, 2, 32, 'manage');
INSERT INTO `sys_role_menus` VALUES (7407, 2, 33, 'manage');
INSERT INTO `sys_role_menus` VALUES (7408, 2, 34, 'manage');
INSERT INTO `sys_role_menus` VALUES (7409, 2, 35, 'manage');
INSERT INTO `sys_role_menus` VALUES (7410, 2, 36, 'manage');
INSERT INTO `sys_role_menus` VALUES (7411, 2, 37, 'manage');
INSERT INTO `sys_role_menus` VALUES (7412, 2, 38, 'manage');
INSERT INTO `sys_role_menus` VALUES (7413, 2, 39, 'manage');
INSERT INTO `sys_role_menus` VALUES (7414, 2, 40, 'manage');
INSERT INTO `sys_role_menus` VALUES (7415, 2, 41, 'manage');
INSERT INTO `sys_role_menus` VALUES (7416, 2, 42, 'manage');
INSERT INTO `sys_role_menus` VALUES (7417, 2, 43, 'manage');
INSERT INTO `sys_role_menus` VALUES (7418, 2, 44, 'manage');
INSERT INTO `sys_role_menus` VALUES (7419, 2, 45, 'manage');
INSERT INTO `sys_role_menus` VALUES (7420, 2, 46, 'manage');
INSERT INTO `sys_role_menus` VALUES (7421, 2, 47, 'manage');
INSERT INTO `sys_role_menus` VALUES (7422, 2, 49, 'manage');
INSERT INTO `sys_role_menus` VALUES (7423, 2, 50, 'manage');
INSERT INTO `sys_role_menus` VALUES (7424, 2, 51, 'manage');
INSERT INTO `sys_role_menus` VALUES (7425, 2, 52, 'manage');
INSERT INTO `sys_role_menus` VALUES (7426, 2, 55, 'manage');
INSERT INTO `sys_role_menus` VALUES (7427, 2, 59, 'manage');
INSERT INTO `sys_role_menus` VALUES (7428, 2, 60, 'manage');
INSERT INTO `sys_role_menus` VALUES (7429, 2, 63, 'manage');
INSERT INTO `sys_role_menus` VALUES (7430, 2, 64, 'manage');
INSERT INTO `sys_role_menus` VALUES (7431, 2, 69, 'manage');
INSERT INTO `sys_role_menus` VALUES (7432, 2, 70, 'manage');
INSERT INTO `sys_role_menus` VALUES (7433, 2, 71, 'manage');
INSERT INTO `sys_role_menus` VALUES (7434, 2, 72, 'manage');
INSERT INTO `sys_role_menus` VALUES (7435, 2, 73, 'manage');
INSERT INTO `sys_role_menus` VALUES (7436, 2, 74, 'manage');
INSERT INTO `sys_role_menus` VALUES (7437, 2, 75, 'manage');
INSERT INTO `sys_role_menus` VALUES (7438, 2, 76, 'manage');
INSERT INTO `sys_role_menus` VALUES (7439, 2, 77, 'manage');
INSERT INTO `sys_role_menus` VALUES (7440, 2, 95, 'manage');
INSERT INTO `sys_role_menus` VALUES (7441, 2, 96, 'manage');
INSERT INTO `sys_role_menus` VALUES (7442, 2, 97, 'manage');
INSERT INTO `sys_role_menus` VALUES (7443, 2, 98, 'manage');
INSERT INTO `sys_role_menus` VALUES (7444, 2, 100, 'manage');
INSERT INTO `sys_role_menus` VALUES (7445, 2, 102, 'manage');
INSERT INTO `sys_role_menus` VALUES (7446, 2, 103, 'manage');
INSERT INTO `sys_role_menus` VALUES (7447, 2, 104, 'manage');
INSERT INTO `sys_role_menus` VALUES (7448, 2, 105, 'manage');
INSERT INTO `sys_role_menus` VALUES (7449, 2, 106, 'manage');
INSERT INTO `sys_role_menus` VALUES (7450, 2, 107, 'manage');
INSERT INTO `sys_role_menus` VALUES (7451, 2, 114, 'manage');
INSERT INTO `sys_role_menus` VALUES (7452, 2, 115, 'manage');
INSERT INTO `sys_role_menus` VALUES (7453, 2, 116, 'manage');
INSERT INTO `sys_role_menus` VALUES (7454, 2, 117, 'manage');
INSERT INTO `sys_role_menus` VALUES (7455, 2, 118, 'manage');
INSERT INTO `sys_role_menus` VALUES (7456, 2, 119, 'manage');
INSERT INTO `sys_role_menus` VALUES (7457, 2, 120, 'manage');
INSERT INTO `sys_role_menus` VALUES (7458, 2, 121, 'manage');
INSERT INTO `sys_role_menus` VALUES (7459, 2, 122, 'manage');
INSERT INTO `sys_role_menus` VALUES (7460, 2, 131, 'manage');
INSERT INTO `sys_role_menus` VALUES (7461, 2, 132, 'manage');
INSERT INTO `sys_role_menus` VALUES (7462, 2, 133, 'manage');
INSERT INTO `sys_role_menus` VALUES (7463, 2, 134, 'manage');
INSERT INTO `sys_role_menus` VALUES (7464, 2, 135, 'manage');
INSERT INTO `sys_role_menus` VALUES (7465, 2, 136, 'manage');
INSERT INTO `sys_role_menus` VALUES (7466, 2, 137, 'manage');
INSERT INTO `sys_role_menus` VALUES (7467, 2, 138, 'manage');
INSERT INTO `sys_role_menus` VALUES (7468, 2, 139, 'manage');
INSERT INTO `sys_role_menus` VALUES (7469, 2, 140, 'manage');
INSERT INTO `sys_role_menus` VALUES (7470, 2, 141, 'manage');
INSERT INTO `sys_role_menus` VALUES (7471, 2, 142, 'manage');
INSERT INTO `sys_role_menus` VALUES (7472, 2, 143, 'manage');
INSERT INTO `sys_role_menus` VALUES (7473, 2, 144, 'manage');
INSERT INTO `sys_role_menus` VALUES (7474, 2, 145, 'manage');
INSERT INTO `sys_role_menus` VALUES (7475, 2, 146, 'manage');
INSERT INTO `sys_role_menus` VALUES (7476, 2, 147, 'manage');
INSERT INTO `sys_role_menus` VALUES (7477, 2, 148, 'manage');
INSERT INTO `sys_role_menus` VALUES (7478, 2, 149, 'manage');
INSERT INTO `sys_role_menus` VALUES (7479, 2, 152, 'manage');
INSERT INTO `sys_role_menus` VALUES (7480, 2, 153, 'manage');
INSERT INTO `sys_role_menus` VALUES (7481, 2, 154, 'manage');
INSERT INTO `sys_role_menus` VALUES (7482, 2, 155, 'manage');
INSERT INTO `sys_role_menus` VALUES (7483, 2, 156, 'manage');
INSERT INTO `sys_role_menus` VALUES (7484, 2, 157, 'manage');
INSERT INTO `sys_role_menus` VALUES (7485, 2, 158, 'manage');
INSERT INTO `sys_role_menus` VALUES (7486, 2, 159, 'manage');
INSERT INTO `sys_role_menus` VALUES (7487, 2, 160, 'manage');
INSERT INTO `sys_role_menus` VALUES (7488, 2, 161, 'manage');
INSERT INTO `sys_role_menus` VALUES (7489, 2, 164, 'manage');
INSERT INTO `sys_role_menus` VALUES (7490, 2, 165, 'manage');
INSERT INTO `sys_role_menus` VALUES (7491, 2, 166, 'manage');
INSERT INTO `sys_role_menus` VALUES (7492, 2, 167, 'manage');
INSERT INTO `sys_role_menus` VALUES (7493, 2, 168, 'manage');
INSERT INTO `sys_role_menus` VALUES (7494, 2, 169, 'manage');
INSERT INTO `sys_role_menus` VALUES (7495, 2, 170, 'manage');
INSERT INTO `sys_role_menus` VALUES (7496, 2, 171, 'manage');
INSERT INTO `sys_role_menus` VALUES (7497, 2, 175, 'manage');
INSERT INTO `sys_role_menus` VALUES (7498, 2, 176, 'manage');
INSERT INTO `sys_role_menus` VALUES (7499, 2, 177, 'manage');
INSERT INTO `sys_role_menus` VALUES (7752, 1, 1, 'admin');
INSERT INTO `sys_role_menus` VALUES (7753, 1, 3, 'admin');
INSERT INTO `sys_role_menus` VALUES (7754, 1, 4, 'admin');
INSERT INTO `sys_role_menus` VALUES (7755, 1, 5, 'admin');
INSERT INTO `sys_role_menus` VALUES (7756, 1, 6, 'admin');
INSERT INTO `sys_role_menus` VALUES (7757, 1, 7, 'admin');
INSERT INTO `sys_role_menus` VALUES (7758, 1, 8, 'admin');
INSERT INTO `sys_role_menus` VALUES (7759, 1, 9, 'admin');
INSERT INTO `sys_role_menus` VALUES (7760, 1, 10, 'admin');
INSERT INTO `sys_role_menus` VALUES (7761, 1, 11, 'admin');
INSERT INTO `sys_role_menus` VALUES (7762, 1, 12, 'admin');
INSERT INTO `sys_role_menus` VALUES (7763, 1, 13, 'admin');
INSERT INTO `sys_role_menus` VALUES (7764, 1, 14, 'admin');
INSERT INTO `sys_role_menus` VALUES (7765, 1, 15, 'admin');
INSERT INTO `sys_role_menus` VALUES (7766, 1, 16, 'admin');
INSERT INTO `sys_role_menus` VALUES (7767, 1, 17, 'admin');
INSERT INTO `sys_role_menus` VALUES (7768, 1, 18, 'admin');
INSERT INTO `sys_role_menus` VALUES (7769, 1, 19, 'admin');
INSERT INTO `sys_role_menus` VALUES (7770, 1, 20, 'admin');
INSERT INTO `sys_role_menus` VALUES (7771, 1, 21, 'admin');
INSERT INTO `sys_role_menus` VALUES (7772, 1, 22, 'admin');
INSERT INTO `sys_role_menus` VALUES (7773, 1, 23, 'admin');
INSERT INTO `sys_role_menus` VALUES (7774, 1, 24, 'admin');
INSERT INTO `sys_role_menus` VALUES (7775, 1, 25, 'admin');
INSERT INTO `sys_role_menus` VALUES (7776, 1, 26, 'admin');
INSERT INTO `sys_role_menus` VALUES (7777, 1, 28, 'admin');
INSERT INTO `sys_role_menus` VALUES (7778, 1, 29, 'admin');
INSERT INTO `sys_role_menus` VALUES (7779, 1, 30, 'admin');
INSERT INTO `sys_role_menus` VALUES (7780, 1, 31, 'admin');
INSERT INTO `sys_role_menus` VALUES (7781, 1, 32, 'admin');
INSERT INTO `sys_role_menus` VALUES (7782, 1, 33, 'admin');
INSERT INTO `sys_role_menus` VALUES (7783, 1, 34, 'admin');
INSERT INTO `sys_role_menus` VALUES (7784, 1, 35, 'admin');
INSERT INTO `sys_role_menus` VALUES (7785, 1, 36, 'admin');
INSERT INTO `sys_role_menus` VALUES (7786, 1, 37, 'admin');
INSERT INTO `sys_role_menus` VALUES (7787, 1, 38, 'admin');
INSERT INTO `sys_role_menus` VALUES (7788, 1, 39, 'admin');
INSERT INTO `sys_role_menus` VALUES (7789, 1, 40, 'admin');
INSERT INTO `sys_role_menus` VALUES (7790, 1, 41, 'admin');
INSERT INTO `sys_role_menus` VALUES (7791, 1, 42, 'admin');
INSERT INTO `sys_role_menus` VALUES (7792, 1, 43, 'admin');
INSERT INTO `sys_role_menus` VALUES (7793, 1, 44, 'admin');
INSERT INTO `sys_role_menus` VALUES (7794, 1, 45, 'admin');
INSERT INTO `sys_role_menus` VALUES (7795, 1, 46, 'admin');
INSERT INTO `sys_role_menus` VALUES (7796, 1, 47, 'admin');
INSERT INTO `sys_role_menus` VALUES (7797, 1, 49, 'admin');
INSERT INTO `sys_role_menus` VALUES (7798, 1, 50, 'admin');
INSERT INTO `sys_role_menus` VALUES (7799, 1, 51, 'admin');
INSERT INTO `sys_role_menus` VALUES (7800, 1, 52, 'admin');
INSERT INTO `sys_role_menus` VALUES (7801, 1, 55, 'admin');
INSERT INTO `sys_role_menus` VALUES (7802, 1, 59, 'admin');
INSERT INTO `sys_role_menus` VALUES (7803, 1, 60, 'admin');
INSERT INTO `sys_role_menus` VALUES (7804, 1, 63, 'admin');
INSERT INTO `sys_role_menus` VALUES (7805, 1, 64, 'admin');
INSERT INTO `sys_role_menus` VALUES (7806, 1, 69, 'admin');
INSERT INTO `sys_role_menus` VALUES (7807, 1, 70, 'admin');
INSERT INTO `sys_role_menus` VALUES (7808, 1, 71, 'admin');
INSERT INTO `sys_role_menus` VALUES (7809, 1, 72, 'admin');
INSERT INTO `sys_role_menus` VALUES (7810, 1, 73, 'admin');
INSERT INTO `sys_role_menus` VALUES (7811, 1, 74, 'admin');
INSERT INTO `sys_role_menus` VALUES (7812, 1, 75, 'admin');
INSERT INTO `sys_role_menus` VALUES (7813, 1, 76, 'admin');
INSERT INTO `sys_role_menus` VALUES (7814, 1, 77, 'admin');
INSERT INTO `sys_role_menus` VALUES (7815, 1, 95, 'admin');
INSERT INTO `sys_role_menus` VALUES (7816, 1, 96, 'admin');
INSERT INTO `sys_role_menus` VALUES (7817, 1, 97, 'admin');
INSERT INTO `sys_role_menus` VALUES (7818, 1, 98, 'admin');
INSERT INTO `sys_role_menus` VALUES (7819, 1, 100, 'admin');
INSERT INTO `sys_role_menus` VALUES (7820, 1, 102, 'admin');
INSERT INTO `sys_role_menus` VALUES (7821, 1, 103, 'admin');
INSERT INTO `sys_role_menus` VALUES (7822, 1, 104, 'admin');
INSERT INTO `sys_role_menus` VALUES (7823, 1, 105, 'admin');
INSERT INTO `sys_role_menus` VALUES (7824, 1, 106, 'admin');
INSERT INTO `sys_role_menus` VALUES (7825, 1, 107, 'admin');
INSERT INTO `sys_role_menus` VALUES (7826, 1, 114, 'admin');
INSERT INTO `sys_role_menus` VALUES (7827, 1, 115, 'admin');
INSERT INTO `sys_role_menus` VALUES (7828, 1, 116, 'admin');
INSERT INTO `sys_role_menus` VALUES (7829, 1, 117, 'admin');
INSERT INTO `sys_role_menus` VALUES (7830, 1, 118, 'admin');
INSERT INTO `sys_role_menus` VALUES (7831, 1, 119, 'admin');
INSERT INTO `sys_role_menus` VALUES (7832, 1, 120, 'admin');
INSERT INTO `sys_role_menus` VALUES (7833, 1, 121, 'admin');
INSERT INTO `sys_role_menus` VALUES (7834, 1, 122, 'admin');
INSERT INTO `sys_role_menus` VALUES (7835, 1, 131, 'admin');
INSERT INTO `sys_role_menus` VALUES (7836, 1, 132, 'admin');
INSERT INTO `sys_role_menus` VALUES (7837, 1, 133, 'admin');
INSERT INTO `sys_role_menus` VALUES (7838, 1, 134, 'admin');
INSERT INTO `sys_role_menus` VALUES (7839, 1, 135, 'admin');
INSERT INTO `sys_role_menus` VALUES (7840, 1, 136, 'admin');
INSERT INTO `sys_role_menus` VALUES (7841, 1, 137, 'admin');
INSERT INTO `sys_role_menus` VALUES (7842, 1, 138, 'admin');
INSERT INTO `sys_role_menus` VALUES (7843, 1, 139, 'admin');
INSERT INTO `sys_role_menus` VALUES (7844, 1, 140, 'admin');
INSERT INTO `sys_role_menus` VALUES (7845, 1, 141, 'admin');
INSERT INTO `sys_role_menus` VALUES (7846, 1, 142, 'admin');
INSERT INTO `sys_role_menus` VALUES (7847, 1, 143, 'admin');
INSERT INTO `sys_role_menus` VALUES (7848, 1, 144, 'admin');
INSERT INTO `sys_role_menus` VALUES (7849, 1, 145, 'admin');
INSERT INTO `sys_role_menus` VALUES (7850, 1, 146, 'admin');
INSERT INTO `sys_role_menus` VALUES (7851, 1, 147, 'admin');
INSERT INTO `sys_role_menus` VALUES (7852, 1, 148, 'admin');
INSERT INTO `sys_role_menus` VALUES (7853, 1, 149, 'admin');
INSERT INTO `sys_role_menus` VALUES (7854, 1, 152, 'admin');
INSERT INTO `sys_role_menus` VALUES (7855, 1, 153, 'admin');
INSERT INTO `sys_role_menus` VALUES (7856, 1, 154, 'admin');
INSERT INTO `sys_role_menus` VALUES (7857, 1, 155, 'admin');
INSERT INTO `sys_role_menus` VALUES (7858, 1, 156, 'admin');
INSERT INTO `sys_role_menus` VALUES (7859, 1, 157, 'admin');
INSERT INTO `sys_role_menus` VALUES (7860, 1, 158, 'admin');
INSERT INTO `sys_role_menus` VALUES (7861, 1, 159, 'admin');
INSERT INTO `sys_role_menus` VALUES (7862, 1, 160, 'admin');
INSERT INTO `sys_role_menus` VALUES (7863, 1, 161, 'admin');
INSERT INTO `sys_role_menus` VALUES (7864, 1, 164, 'admin');
INSERT INTO `sys_role_menus` VALUES (7865, 1, 165, 'admin');
INSERT INTO `sys_role_menus` VALUES (7866, 1, 166, 'admin');
INSERT INTO `sys_role_menus` VALUES (7867, 1, 167, 'admin');
INSERT INTO `sys_role_menus` VALUES (7868, 1, 168, 'admin');
INSERT INTO `sys_role_menus` VALUES (7869, 1, 169, 'admin');
INSERT INTO `sys_role_menus` VALUES (7870, 1, 170, 'admin');
INSERT INTO `sys_role_menus` VALUES (7871, 1, 171, 'admin');
INSERT INTO `sys_role_menus` VALUES (7872, 1, 172, 'admin');
INSERT INTO `sys_role_menus` VALUES (7873, 1, 173, 'admin');
INSERT INTO `sys_role_menus` VALUES (7874, 1, 174, 'admin');
INSERT INTO `sys_role_menus` VALUES (7875, 1, 175, 'admin');
INSERT INTO `sys_role_menus` VALUES (7876, 1, 176, 'admin');
INSERT INTO `sys_role_menus` VALUES (7877, 1, 177, 'admin');

-- ----------------------------
-- Table structure for sys_role_organizations
-- ----------------------------
DROP TABLE IF EXISTS `sys_role_organizations`;
CREATE TABLE `sys_role_organizations`  (
  `role_id` int(0) NULL DEFAULT NULL,
  `organization_id` int(0) NULL DEFAULT NULL,
  `id` bigint(0) NOT NULL AUTO_INCREMENT,
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 15 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_role_organizations
-- ----------------------------
INSERT INTO `sys_role_organizations` VALUES (1, 2, 9);
INSERT INTO `sys_role_organizations` VALUES (1, 3, 10);
INSERT INTO `sys_role_organizations` VALUES (1, 7, 11);
INSERT INTO `sys_role_organizations` VALUES (2, 2, 12);
INSERT INTO `sys_role_organizations` VALUES (2, 3, 13);
INSERT INTO `sys_role_organizations` VALUES (2, 7, 14);

-- ----------------------------
-- Table structure for sys_roles
-- ----------------------------
DROP TABLE IF EXISTS `sys_roles`;
CREATE TABLE `sys_roles`  (
  `role_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `role_name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '角色名称',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '状态',
  `role_key` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '角色代码',
  `data_scope` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '数据范围（1：全部数据权限 2：自定数据权限 3：本部门数据权限 4：本部门及以下数据权限）',
  `role_sort` int(0) NULL DEFAULT NULL COMMENT '角色排序',
  `create_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `update_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`role_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 6 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_roles
-- ----------------------------
INSERT INTO `sys_roles` VALUES (1, '超管理员', '0', 'admin', '4', 1, 'admin', 'panda', '超级管理', '2021-12-02 16:03:26', '2023-09-25 10:14:10', NULL);
INSERT INTO `sys_roles` VALUES (2, '管理员', '0', 'manage', '1', 2, 'panda', 'panda', '', '2021-12-19 16:06:20', '2023-09-20 10:37:46', NULL);
INSERT INTO `sys_roles` VALUES (5, '测试', '0', 'test', '0', 3, 'panda', '', '', '2023-09-14 11:34:44', '2023-09-14 11:34:44', NULL);

-- ----------------------------
-- Table structure for sys_users
-- ----------------------------
DROP TABLE IF EXISTS `sys_users`;
CREATE TABLE `sys_users`  (
  `user_id` bigint(0) NOT NULL AUTO_INCREMENT,
  `nick_name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `phone` varchar(11) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `role_id` int(0) NULL DEFAULT NULL,
  `salt` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `avatar` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `sex` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `email` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `organization_id` int(0) NULL DEFAULT NULL,
  `post_id` int(0) NULL DEFAULT NULL,
  `create_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `update_by` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `delete_time` datetime(0) NULL DEFAULT NULL,
  `username` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `password` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `role_ids` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '多角色',
  `post_ids` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '多岗位',
  PRIMARY KEY (`user_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 7 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of sys_users
-- ----------------------------
INSERT INTO `sys_users` VALUES (1, 'pandax', '13818888888', 1, NULL, '', '0', '1@qq.com', 2, 4, 'panda', '1', NULL, '0', '2021-12-03 09:46:55', '2022-02-09 13:28:49', NULL, 'panda', '$2a$10$cKFFTCzGOvaIHHJY2K45Zuwt8TD6oPzYi4s5MzYIBAWCLL6ZhouP2', '1', '1,4');
INSERT INTO `sys_users` VALUES (3, '测试用户', '18435234356', 2, '', '', '0', '342@163.com', 3, 1, 'test', '', '', '0', '2021-12-06 15:16:53', '2022-05-10 19:19:25', NULL, 'test', '$2a$10$4cHTracxWJLdhMmazvbm1urKyD3v5N2AYxAFtNYh6juU39kgae73e', '2', '1,4');
INSERT INTO `sys_users` VALUES (4, 'panda', '18353366912', 2, '', '', '0', '2417920382@qq.com', 2, 4, 'panda', '', '', '0', '2021-12-19 15:58:09', '2021-12-19 16:06:54', NULL, 'admin', '$2a$10$cKFFTCzGOvaIHHJY2K45Zuwt8TD6oPzYi4s5MzYIBAWCLL6ZhouP2', '2', '4,1');
INSERT INTO `sys_users` VALUES (5, 'tenant', '', 1, '', '', '0', '', 3, 1, 'panda', '1', '', '0', '2021-12-03 09:46:55', '2022-02-09 13:28:49', NULL, 'tenant', '$2a$10$ycRsRdsrNQInLB2Ib0maOetsWZ0kFctmF6ytAErWTjOx5cWdeJMcK', '1', '1,4');
INSERT INTO `sys_users` VALUES (6, 'tt', '', 0, '', '', '', '', 7, 0, 'panda', '', '', '', '2023-09-14 14:58:50', '2023-09-14 14:58:50', NULL, 'fsdfsdfs', '$2a$10$D4igypJIcjca57RQcKPFAuOf/fY77itlB9PZyYgrCsK61crZijYLS', '2', '');

-- ----------------------------
-- Table structure for visual_data_set_field
-- ----------------------------
DROP TABLE IF EXISTS `visual_data_set_field`;
CREATE TABLE `visual_data_set_field`  (
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `field_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '字段id',
  `table_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '表id',
  `name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '字段名(描述)',
  `group_type` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '维度/指标标识 d:维度，q:指标',
  `origin_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '原始字段名称',
  `origin_type` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '原始字段类型',
  `de_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '数据源查询名',
  `de_type` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '数据源字段类型：0-文本，1-时间，2-数值，3-数值小数',
  `ext_field` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '是否扩展字段 0否 1是',
  PRIMARY KEY (`field_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of visual_data_set_field
-- ----------------------------
INSERT INTO `visual_data_set_field` VALUES ('2023-04-30 10:36:03', '2023-07-18 02:10:39', '234342', 'pxcea96e8b46ddac0b0ac34c9b', '昵称', 'q', NULL, NULL, 'nickname', '0', NULL);
INSERT INTO `visual_data_set_field` VALUES ('2023-08-15 08:38:29', '2023-08-15 08:38:29', 'px12d31893e2e7c34e61d22367', 'pxd6f0fd0c3f365d68c6e9f5fa', 'date', 'd', NULL, NULL, 'date', '0', '');
INSERT INTO `visual_data_set_field` VALUES ('2023-08-15 09:23:17', '2023-08-15 09:23:17', 'px23318fc04a912e24b78bcd7b', 'px07efe5a950fb6927b37da6c9', 'name', 'd', NULL, NULL, 'name', '0', '');
INSERT INTO `visual_data_set_field` VALUES ('2023-08-14 18:10:08', '2023-08-15 09:50:14', 'px38ab56b7c143d966a9d855fc', 'px8d2d3d823f50d49fe4abbbff', '新增确诊', 'q', NULL, NULL, 'new_diagnosis', '2', '');
INSERT INTO `visual_data_set_field` VALUES ('2023-08-15 09:23:17', '2023-08-15 09:49:38', 'px4abb36991e29f076c63bacd5', 'px07efe5a950fb6927b37da6c9', '年龄', 'q', NULL, NULL, 'age', '2', '');
INSERT INTO `visual_data_set_field` VALUES ('2023-08-15 08:38:29', '2023-08-15 08:38:29', 'px55027695cb4e5a23f3569060', 'pxd6f0fd0c3f365d68c6e9f5fa', 'current_diagnosis', 'q', NULL, NULL, 'current_diagnosis', '2', '');
INSERT INTO `visual_data_set_field` VALUES ('2023-08-15 09:23:17', '2023-08-15 09:23:17', 'px657fa68e05b958654e40bbe6', 'px07efe5a950fb6927b37da6c9', 'score', 'q', NULL, NULL, 'score', '2', '');
INSERT INTO `visual_data_set_field` VALUES ('2023-08-14 18:10:09', '2023-08-15 09:50:20', 'pxb0bfc6afeecf8042cc73a028', 'px8d2d3d823f50d49fe4abbbff', '现有确诊', 'q', NULL, NULL, 'current_diagnosis', '2', '');
INSERT INTO `visual_data_set_field` VALUES ('2023-08-15 08:38:29', '2023-08-15 08:38:29', 'pxdbacfa603f6c1f88423e6fdb', 'pxd6f0fd0c3f365d68c6e9f5fa', 'new_diagnosis', 'q', NULL, NULL, 'new_diagnosis', '2', '');
INSERT INTO `visual_data_set_field` VALUES ('2023-08-14 18:10:08', '2023-08-15 09:50:27', 'pxfeec273823f2f42f087b1416', 'px8d2d3d823f50d49fe4abbbff', '日期', 'd', NULL, NULL, 'date', '0', '');

-- ----------------------------
-- Table structure for visual_data_set_table
-- ----------------------------
DROP TABLE IF EXISTS `visual_data_set_table`;
CREATE TABLE `visual_data_set_table`  (
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `table_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '表id',
  `data_source_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '数据圆ID',
  `table_type` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT 'db,sql,excel,union',
  `info` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '原始表信息',
  `create_by` bigint(0) NULL DEFAULT NULL,
  `name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '名称',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  PRIMARY KEY (`table_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of visual_data_set_table
-- ----------------------------
INSERT INTO `visual_data_set_table` VALUES ('2023-08-15 09:23:16', '2023-08-15 09:23:16', 'px07efe5a950fb6927b37da6c9', '', 'api', '{\"method\":\"get\",\"url\":\"http://127.0.0.1:8889/visual/datasource/testApiUser\",\"headers\":[{\"key\":\"X-TOKEN\",\"value\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJVc2VySWQiOjEsIlRlbmFudElkIjowLCJVc2VyTmFtZSI6InBhbmRhIiwiUm9sZUlkIjoxLCJSb2xlS2V5IjoiYWRtaW4iLCJEZXB0SWQiOjIsIlBvc3RJZCI6NCwiZXhwIjoxNjkyNjYzMTMzLCJpc3MiOiJQYW5kYVgiLCJuYmYiOjE2OTIwNTczMzN9.easKyloj7D2KKVDaoFeCJunjplxPg0Loo_NJSMi8C8Y\"}],\"params\":[],\"datas\":[],\"respScript\":\"return resp.data\"}', 0, '测试API', 2, 'panda');
INSERT INTO `visual_data_set_table` VALUES ('2023-08-14 17:32:54', '2023-08-14 18:10:08', 'px8d2d3d823f50d49fe4abbbff', 'px9256d7dd9add568796911b25', 'sql', '{\"sql\": \"select * from demo_new_trend_of_diagnosis where new_diagnosis > ${diag}\",\"inParams\": [{\"deName\":\"diag\",\"deType\":\"2\",\"deValue\":35}]}', 0, '疫情', 2, 'panda');
INSERT INTO `visual_data_set_table` VALUES ('2023-04-27 16:46:41', '2023-04-27 16:46:41', 'pxcea96e8b46ddac0b0ac34c9b', 'pxab7d17d7e8db23ee3ac0a897', 'sql', '{\"sql\": \"select nickname from res_emails\"}', 0, 'testSql', 2, 'panda');
INSERT INTO `visual_data_set_table` VALUES ('2023-04-27 16:22:42', '2023-08-15 08:38:29', 'pxd6f0fd0c3f365d68c6e9f5fa', 'px9256d7dd9add568796911b25', 'db', '{\"table\": \"demo_new_trend_of_diagnosis\"}', 0, 'testSet', 2, 'panda');
INSERT INTO `visual_data_set_table` VALUES ('2023-04-27 17:14:49', '2023-04-27 17:14:49', 'pxebe07ffb9d98bd22aef895cc', '', 'excel', '{\"filePath\": \"uploads/excel/c7ddb65e42_20230427171333.xlsx\"}', 0, 'testExcel', 2, 'panda');
INSERT INTO `visual_data_set_table` VALUES ('2023-04-30 09:46:24', '2023-04-30 09:46:24', 'pxf665b4faeb5915d811263dd2', 'pxab7d17d7e8db23ee3ac0a897', 'sql', '{\"sql\": \"select COUNT(*) from log_jobs group by job_group\"}', 0, '付款', 2, 'panda');

-- ----------------------------
-- Table structure for visual_data_set_table_function
-- ----------------------------
DROP TABLE IF EXISTS `visual_data_set_table_function`;
CREATE TABLE `visual_data_set_table_function`  (
  `name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '函数名称',
  `func` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '函数表达式',
  `db_type` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '所属数据库',
  `desc` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL COMMENT '描述'
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of visual_data_set_table_function
-- ----------------------------
INSERT INTO `visual_data_set_table_function` VALUES ('ABS', 'ABS(x)', 'MySQL', '返回x的绝对值');
INSERT INTO `visual_data_set_table_function` VALUES ('PI', 'PI()', 'MySQL', '返回圆周率π，默认显示6位小数');
INSERT INTO `visual_data_set_table_function` VALUES ('SQRT', 'SQRT(x)', 'MySQL', '返回非负数的x的二次方根');
INSERT INTO `visual_data_set_table_function` VALUES ('MOD', 'MOD(x,y)', 'MySQL', '返回x被y除后的余数');
INSERT INTO `visual_data_set_table_function` VALUES ('CEIL', 'CEIL(x)', 'MySQL', '返回不小于x的最小整数');
INSERT INTO `visual_data_set_table_function` VALUES ('FLOOR', 'FLOOR(x)', 'MySQL', '返回不大于x的最大整数');
INSERT INTO `visual_data_set_table_function` VALUES ('ROUND', 'ROUND(x)', 'MySQL', '返回离x最近的整数');
INSERT INTO `visual_data_set_table_function` VALUES ('ROUND', 'ROUND(x,y)', 'MySQL', '保留x小数点后y位的值，但截断时要进行四舍五入');
INSERT INTO `visual_data_set_table_function` VALUES ('SIGN', 'SIGN(x)', 'MySQL', '返回参数x的符号，-1表示负数，0表示0，1表示正数');
INSERT INTO `visual_data_set_table_function` VALUES ('POW', 'POW(x,y)', 'MySQL', '返回x的y次乘方的值');
INSERT INTO `visual_data_set_table_function` VALUES ('EXP', 'EXP(x)', 'MySQL', '返回e的x乘方后的值');
INSERT INTO `visual_data_set_table_function` VALUES ('LOG', 'LOG(x)', 'MySQL', '返回x的自然对数，x相对于基数e的对数');
INSERT INTO `visual_data_set_table_function` VALUES ('LOG10', 'LOG10(x)', 'MySQL', '返回x的基数为10的对数');
INSERT INTO `visual_data_set_table_function` VALUES ('RADIANS', 'RADIANS(x)', 'MySQL', '返回x由角度转化为弧度的值');
INSERT INTO `visual_data_set_table_function` VALUES ('DEGREES', 'DEGREES(x)', 'MySQL', '返回x由弧度转化为角度的值');
INSERT INTO `visual_data_set_table_function` VALUES ('SIN', 'SIN(x)', 'MySQL', '返回x的正弦，其中x为给定的弧度值');
INSERT INTO `visual_data_set_table_function` VALUES ('ASIN', 'ASIN(x)', 'MySQL', '返回x的反正弦值');
INSERT INTO `visual_data_set_table_function` VALUES ('COS', 'COS(x)', 'MySQL', '返回x的余弦，其中x为给定的弧度值');
INSERT INTO `visual_data_set_table_function` VALUES ('ACOS', 'ACOS(x)', 'MySQL', '返回x的反余弦值');
INSERT INTO `visual_data_set_table_function` VALUES ('TAN', 'TAN(x)', 'MySQL', '返回x的正切，其中x为给定的弧度值');
INSERT INTO `visual_data_set_table_function` VALUES ('ATAN', 'ATAN(x)', 'MySQL', '返回x的反正切值');
INSERT INTO `visual_data_set_table_function` VALUES ('COT', 'COT(x)', 'MySQL', '返回给定弧度值x的余切');
INSERT INTO `visual_data_set_table_function` VALUES ('CHAR_LENGTH', 'CHAR_LENGTH(str)', 'MySQL', '计算字符串字符个数');
INSERT INTO `visual_data_set_table_function` VALUES ('TRIM', 'TRIM(s)', 'MySQL', '返回字符串s删除了两边空格之后的字符串');
INSERT INTO `visual_data_set_table_function` VALUES ('LTRIM', 'LTRIM(s)', 'MySQL', '返回字符串s，其左边所有空格被删除');
INSERT INTO `visual_data_set_table_function` VALUES ('RTRIM', 'RTRIM(s)', 'MySQL', '返回字符串s，其右边所有空格被删除');
INSERT INTO `visual_data_set_table_function` VALUES ('REPLACE', 'REPLACE(s,s1,s2)', 'MySQL', '返回一个字符串，用字符串s2替代字符串s中所有的字符串s1');
INSERT INTO `visual_data_set_table_function` VALUES ('SUBSTRING', 'SUBSTRING(s,n,len)', 'MySQL', '获取从字符串s中的第n个位置开始长度为len的字符串');
INSERT INTO `visual_data_set_table_function` VALUES ('CONCAT', 'CONCAT(s1,s2，...)', 'MySQL', '返回连接参数产生的字符串，一个或多个待拼接的内容，任意一个为NULL则返回值为NULL');
INSERT INTO `visual_data_set_table_function` VALUES ('INSERT', 'INSERT(s1,x,len,s2)', 'MySQL', '返回字符串s1，其子字符串起始于位置x，被字符串s2取代len个字符');
INSERT INTO `visual_data_set_table_function` VALUES ('LOWER', 'LOWER(str)', 'MySQL', '将str中的字母全部转换成小写');
INSERT INTO `visual_data_set_table_function` VALUES ('UPPER', 'UPPER(str)', 'MySQL', '将字符串中的字母全部转换成大写');
INSERT INTO `visual_data_set_table_function` VALUES ('LEFT', 'LEFT(s,n)', 'MySQL', '返回字符串s从最左边开始的n个字符');
INSERT INTO `visual_data_set_table_function` VALUES ('RIGHT', 'RIGHT(s,n)', 'MySQL', '返回字符串s从最右边开始的n个字符');
INSERT INTO `visual_data_set_table_function` VALUES ('REPEAT', 'REPEAT(s,n)', 'MySQL', '返回一个由重复字符串s组成的字符串，字符串s的数目等于n');
INSERT INTO `visual_data_set_table_function` VALUES ('SPACE', 'SPACE(n)', 'MySQL', '返回一个由n个空格组成的字符串');
INSERT INTO `visual_data_set_table_function` VALUES ('REVERSE', 'REVERSE(s)', 'MySQL', '将字符串s反转');
INSERT INTO `visual_data_set_table_function` VALUES ('CURDATE', 'CURDATE()', 'MySQL', '将当前日期按照\"YYYY-MM-DD\"或者\"YYYYMMDD\"格式的值返回，具体格式根据函数用在字符串或是数字语境中而定');
INSERT INTO `visual_data_set_table_function` VALUES ('CURRENT_DATE', 'CURRENT_DATE()', 'MySQL', '将当前日期按照\"YYYY-MM-DD\"或者\"YYYYMMDD\"格式的值返回，具体格式根据函数用在字符串或是数字语境中而定');
INSERT INTO `visual_data_set_table_function` VALUES ('NOW', 'NOW()', 'MySQL', '返回当前日期和时间值，格式为\"YYYY_MM-DD HH:MM:SS\"或\"YYYYMMDDHHMMSS\"，具体格式根据函数用在字符串或数字语境中而定');
INSERT INTO `visual_data_set_table_function` VALUES ('SYSDATE', 'SYSDATE()', 'MySQL', '返回当前日期和时间值，格式为\"YYYY_MM-DD HH:MM:SS\"或\"YYYYMMDDHHMMSS\"，具体格式根据函数用在字符串或数字语境中而定');
INSERT INTO `visual_data_set_table_function` VALUES ('LOCALTIME', 'LOCALTIME()', 'MySQL', '返回当前日期和时间值，格式为\"YYYY_MM-DD HH:MM:SS\"或\"YYYYMMDDHHMMSS\"，具体格式根据函数用在字符串或数字语境中而定');
INSERT INTO `visual_data_set_table_function` VALUES ('CURRENT_TIMESTAMP', 'CURRENT_TIMESTAMP()', 'MySQL', '返回当前日期和时间值，格式为\"YYYY_MM-DD HH:MM:SS\"或\"YYYYMMDDHHMMSS\"，具体格式根据函数用在字符串或数字语境中而定');
INSERT INTO `visual_data_set_table_function` VALUES ('UNIX_TIMESTAMP', 'UNIX_TIMESTAMP()', 'MySQL', '返回一个格林尼治标准时间1970-01-01 00:00:00到现在的秒数');
INSERT INTO `visual_data_set_table_function` VALUES ('UNIX_TIMESTAMP', 'UNIX_TIMESTAMP(date)', 'MySQL', '返回一个格林尼治标准时间1970-01-01 00:00:00到指定时间的秒数');
INSERT INTO `visual_data_set_table_function` VALUES ('FROM_UNIXTIME', 'FROM_UNIXTIME(date)', 'MySQL', '把UNIX时间戳转换为普通格式的时间');
INSERT INTO `visual_data_set_table_function` VALUES ('CASE', 'CASE expr WHEN v1 THEN r1 [WHEN v2 THEN v2] [ELSE rn] END', 'MySQL', '如果expr等于某个vn，则返回对应位置THEN后面的结果，如果与所有值都不想等，则返回ELSE后面的rn');
INSERT INTO `visual_data_set_table_function` VALUES ('IF', 'IF(expr,v1,v2)', 'MySQL', '如果expr是TRUE则返回v1，否则返回v2');
INSERT INTO `visual_data_set_table_function` VALUES ('IFNULL', 'IFNULL(v1,v2)', 'MySQL', '如果v1不为NULL，则返回v1，否则返回v2');
INSERT INTO `visual_data_set_table_function` VALUES ('datalength', 'datalength(s)', 'SqlServer', '返回字符串包含字符数,但不包含后面的空格');
INSERT INTO `visual_data_set_table_function` VALUES ('substring', 'substring(expression,start,length)', 'SqlServer', '取子串');
INSERT INTO `visual_data_set_table_function` VALUES ('ltrim', 'ltrim(expression)', 'SqlServer', '把字符串头部的空格去掉');
INSERT INTO `visual_data_set_table_function` VALUES ('rtrim', 'rtrim(expression)', 'SqlServer', '把字符串尾部的空格去掉');
INSERT INTO `visual_data_set_table_function` VALUES ('upper', 'substring(expression)', 'SqlServer', '转为大写');
INSERT INTO `visual_data_set_table_function` VALUES ('lower', 'substring(expression)', 'SqlServer', '转为小写');
INSERT INTO `visual_data_set_table_function` VALUES ('reverse', 'reverse(expression)', 'SqlServer', '反转字符串');
INSERT INTO `visual_data_set_table_function` VALUES ('pi', 'pi()', 'SqlServer', 'π');
INSERT INTO `visual_data_set_table_function` VALUES ('abs', 'abs(numeric_expr)', 'SqlServer', '求绝对值');
INSERT INTO `visual_data_set_table_function` VALUES ('sqrt', 'sqrt(float_expr)', 'SqlServer', '平方根');
INSERT INTO `visual_data_set_table_function` VALUES ('power', 'power(numeric_expr,power) ', 'SqlServer', '返回power次方');
INSERT INTO `visual_data_set_table_function` VALUES ('getdate', 'getdate() ', 'SqlServer', '返回日期');
INSERT INTO `visual_data_set_table_function` VALUES ('getutcdate', 'getutcdate() ', 'SqlServer', '获取utc时间');
INSERT INTO `visual_data_set_table_function` VALUES ('day', 'day(getdate()) ', 'SqlServer', '取出天');
INSERT INTO `visual_data_set_table_function` VALUES ('abs', 'abs(x)', 'PostgreSQL', '绝对值');
INSERT INTO `visual_data_set_table_function` VALUES ('sin', 'sin(x)', 'PostgreSQL', '正弦');
INSERT INTO `visual_data_set_table_function` VALUES ('sqrt', 'sqrt(double/numeric)', 'PostgreSQL', '平方根');
INSERT INTO `visual_data_set_table_function` VALUES ('lower', 'lower(string)', 'PostgreSQL', '把字串转化为小写');
INSERT INTO `visual_data_set_table_function` VALUES ('length', 'length(string text)', 'PostgreSQL', 'string中字符的数目');
INSERT INTO `visual_data_set_table_function` VALUES ('md5', 'md5(string text)', 'PostgreSQL', '计算给出string的MD5散列，以十六进制返回结果');
INSERT INTO `visual_data_set_table_function` VALUES ('strpos', 'strpos(string, substring)', 'PostgreSQL', '声明的子字串的位置');
INSERT INTO `visual_data_set_table_function` VALUES ('to_char', 'to_char(timestamp, text)', 'PostgreSQL', '将时间戳转换为字符串');
INSERT INTO `visual_data_set_table_function` VALUES ('to_timestamp', 'to_timestamp(double precision)', 'PostgreSQL', '把UNIX纪元转换成时间戳');

-- ----------------------------
-- Table structure for visual_data_source
-- ----------------------------
DROP TABLE IF EXISTS `visual_data_source`;
CREATE TABLE `visual_data_source`  (
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `source_id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '数据源Id',
  `source_type` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '数据源类型',
  `source_name` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '数据源名称',
  `source_comment` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '数据源描述',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '数据源状态 1:在线 0连接异常',
  `db` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '详细信息',
  `create_by` bigint(0) NULL DEFAULT NULL,
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  PRIMARY KEY (`source_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of visual_data_source
-- ----------------------------
INSERT INTO `visual_data_source` VALUES ('2023-06-17 14:29:07', '2023-06-17 14:29:07', 'px7ffd02bc7a1fd559d460985d', 'MySQL', 'ddd', '', '0', '{\"host\":\"127.0.0.1\",\"port\":3306,\"dbname\":\"iThings\",\"username\":\"root\",\"password\":\"password\",\"config\":\"charset=utf8\\u0026loc=Local\\u0026parseTime=true\",\"schema\":\"\"}', 0, 2, 'panda');
INSERT INTO `visual_data_source` VALUES ('2023-04-25 16:08:44', '2023-08-14 10:34:38', 'px9256d7dd9add568796911b25', 'MySQL', '本地数据库', '描述', '1', '{\"host\":\"127.0.0.1\",\"port\":3306,\"dbname\":\"pandax\",\"username\":\"root\",\"password\":\"!MyEMS1\",\"config\":\"charset=utf8\\u0026loc=Local\\u0026parseTime=true\",\"schema\":\"\"}', 0, 2, 'panda');
INSERT INTO `visual_data_source` VALUES ('2023-04-25 09:21:18', '2023-08-11 16:07:02', 'pxab7d17d7e8db23ee3ac0a897', 'MySQL', 'test', '啊啊', '0', '{\"host\":\"127.0.0.1\",\"port\":3306,\"dbname\":\"pandax\",\"username\":\"root\",\"password\":\"!MyEMS1\",\"config\":\"\",\"schema\":\"\"}', 0, 2, 'panda');

-- ----------------------------
-- Table structure for visual_screen
-- ----------------------------
DROP TABLE IF EXISTS `visual_screen`;
CREATE TABLE `visual_screen`  (
  `id` varchar(191) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL,
  `group_id` int(0) NULL DEFAULT NULL COMMENT '分组Id',
  `screen_name` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '名称',
  `screen_data_json` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT 'Json数据',
  `screen_base64` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT 'Base64缩略图',
  `screen_remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '说明',
  `status` varchar(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '状态',
  `create_time` datetime(0) NULL DEFAULT NULL,
  `update_time` datetime(0) NULL DEFAULT NULL,
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of visual_screen
-- ----------------------------
INSERT INTO `visual_screen` VALUES ('pxaec91a00471c2633dafc430d', 3, '孪生大屏', '{\"lfData\":[{\"name\":\"首屏\",\"dataCode\":{\"nodes\":[{\"id\":\"fe16e9b5-21a6-462c-8779-c92a8512f2ef\",\"type\":\"edit-model\",\"x\":628,\"y\":353,\"properties\":{\"icon\":\"icon_module/svg/3d1.svg\",\"name\":\"编辑模型\",\"sceneId\":\"6440ac0e61b8953c46f251bd\",\"nodeSize\":{\"width\":1256,\"height\":705}},\"zIndex\":1},{\"id\":\"b3863e68-f265-47e5-9a23-4660ca2db1a4\",\"type\":\"image\",\"x\":626,\"y\":29,\"properties\":{\"icon\":\"icon_module/svg/image.svg\",\"name\":\"图片\",\"imgFit\":\"fill\",\"imgSrc\":\"img/header/header13.png\",\"metadata\":\"{\\n\\t\\\"value\\\": \\\"img/border-circle/border-circle5.png\\\"\\n}\",\"dataset\":{\"dataType\":\"static\"},\"nodeSize\":{\"width\":1242,\"height\":55}},\"zIndex\":1},{\"id\":\"57fab955-6cd3-4724-b8fb-6f7dfcf4a4a7\",\"type\":\"text\",\"x\":605,\"y\":31,\"properties\":{\"icon\":\"icon_module/svg/text.svg\",\"name\":\"文本\",\"textColor\":\"#329DE0\",\"textAlign\":\"center\",\"textSize\":22,\"textWeight\":\"normal\",\"text\":\"熊猫可视化大屏\"},\"zIndex\":1,\"text\":{\"x\":605,\"y\":31,\"value\":\"熊猫可视化大屏\"}},{\"id\":\"cf588390-b10d-4b1b-b1a2-837bad5b9c51\",\"type\":\"image\",\"x\":199,\"y\":225,\"properties\":{\"icon\":\"icon_module/svg/image.svg\",\"name\":\"图片\",\"imgFit\":\"fill\",\"imgSrc\":\"img/border-rect/border-rect8.png\",\"metadata\":\"{\\n\\t\\\"value\\\": 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', 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', 'da', '0', '2023-07-24 09:51:02', '2023-08-07 16:26:51', 'panda', 2);
INSERT INTO `visual_screen` VALUES ('zt_08ca17dbc53c916369ffb3d0', 2, '测试组态', '', '', '', '0', '2023-08-12 09:31:22', '2023-08-12 09:31:22', 'panda', 2);

-- ----------------------------
-- Table structure for visual_screen_group
-- ----------------------------
DROP TABLE IF EXISTS `visual_screen_group`;
CREATE TABLE `visual_screen_group`  (
  `id` int(0) NOT NULL AUTO_INCREMENT,
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `name` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '分组名',
  `pid` int(0) NULL DEFAULT NULL COMMENT '父Id',
  `path` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '路径',
  `sort` int(0) NULL DEFAULT NULL COMMENT '排序',
  `status` char(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '状态',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of visual_screen_group
-- ----------------------------
INSERT INTO `visual_screen_group` VALUES (1, 2, 'panda', '拓扑图', 0, '/0/1', 1, '0');
INSERT INTO `visual_screen_group` VALUES (2, 2, 'panda', '组态设计', 0, '/0/2', 2, '0');
INSERT INTO `visual_screen_group` VALUES (3, 2, 'panda', 'BI大屏', 0, '/0/3', 3, '0');
INSERT INTO `visual_screen_group` VALUES (5, 2, 'panda', '标准拓扑', 1, '/0/1/5', 1, '0');
INSERT INTO `visual_screen_group` VALUES (6, 2, 'panda', '网络拓扑', 1, '/0/1/6', 2, '0');
INSERT INTO `visual_screen_group` VALUES (7, 2, 'panda', '报表设计', 0, '/0/7', 4, '0');

-- ----------------------------
-- Table structure for visual_screen_image
-- ----------------------------
DROP TABLE IF EXISTS `visual_screen_image`;
CREATE TABLE `visual_screen_image`  (
  `org_id` int(0) NULL DEFAULT NULL COMMENT '机构ID',
  `owner` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '创建者,所有者',
  `file_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
  `file_path` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of visual_screen_image
-- ----------------------------
INSERT INTO `visual_screen_image` VALUES (2, 'panda', 'e9cc37b4b094c1510624894650b2dca7_20230913093840.gif', 'uploads/file/visual/e9cc37b4b094c1510624894650b2dca7_20230913093840.gif');

SET FOREIGN_KEY_CHECKS = 1;
