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PandaX/resource/pandax_iot.sql

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/*
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: 24/10/2023 16:19:56
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
CREATE DATABASE IF NOT EXISTS pandax_iot;
-- ----------------------------
-- 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 = 10604 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', '', '', '', 10162);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/api/all', 'GET', '', '', '', 10163);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/api/getPolicyPathByRoleId', 'GET', '', '', '', 10164);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/api/:id', 'GET', '', '', '', 10165);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/config/list', 'GET', '', '', '', 10166);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/config/configKey', 'GET', '', '', '', 10167);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/config/:configId', 'GET', '', '', '', 10168);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/list', 'GET', '', '', '', 10169);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/list/all', 'GET', '', '', '', 10170);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/list/tree', 'GET', '', '', '', 10171);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/:id', 'GET', '', '', '', 10172);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/list', 'GET', '', '', '', 10173);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/:id', 'GET', '', '', '', 10174);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/group/list/tree/label', 'GET', '', '', '', 10175);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/list/all', 'GET', '', '', '', 10176);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/:id/status', 'GET', '', '', '', 10177);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/alarm/list', 'GET', '', '', '', 10178);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/cmd/list', 'GET', '', '', '', 10179);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/:id/property/history', 'GET', '', '', '', 10180);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/panel', 'GET', '', '', '', 10181);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/alarm/panel', 'GET', '', '', '', 10182);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/type/list', 'GET', '', '', '', 10183);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/type/:dictId', 'GET', '', '', '', 10184);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/data/list', 'GET', '', '', '', 10185);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/data/type', 'GET', '', '', '', 10186);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/dict/data/:dictCode', 'GET', '', '', '', 10187);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/db/list', 'GET', '', '', '', 10188);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/list', 'GET', '', '', '', 10189);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/info/:tableId', 'GET', '', '', '', 10190);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/info/tableName', 'GET', '', '', '', 10191);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/table/tableTree', 'GET', '', '', '', 10192);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/develop/code/gen/preview/:tableId', 'GET', '', '', '', 10193);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/job/list', 'GET', '', '', '', 10194);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/job/:jobId', 'GET', '', '', '', 10195);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/log/logLogin/list', 'GET', '', '', '', 10196);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/log/logOper/list', 'GET', '', '', '', 10197);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/menuTreeSelect', 'GET', '', '', '', 10198);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/menuRole', 'GET', '', '', '', 10199);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/roleMenuTreeSelect/:roleId', 'GET', '', '', '', 10200);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/menuPaths', 'GET', '', '', '', 10201);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/list', 'GET', '', '', '', 10202);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/menu/:menuId', 'GET', '', '', '', 10203);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/notice/list', 'GET', '', '', '', 10204);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/organization/list', 'GET', '', '', '', 10205);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/organization/:organizationId', 'GET', '', '', '', 10206);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/organization/roleOrganizationTreeSelect/:roleId', 'GET', '', '', '', 10207);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/organization/organizationTree', 'GET', '', '', '', 10208);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/ota/list', 'GET', '', '', '', 10209);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/ota/:id', 'GET', '', '', '', 10210);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/post/list', 'GET', '', '', '', 10211);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/post/:postId', 'GET', '', '', '', 10212);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/list', 'GET', '', '', '', 10213);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/list/all', 'GET', '', '', '', 10214);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/list/tree', 'GET', '', '', '', 10215);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/:id', 'GET', '', '', '', 10216);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/:id', 'GET', '', '', '', 10217);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/list', 'GET', '', '', '', 10218);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/category/list/tree/label', 'GET', '', '', '', 10219);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/list/all', 'GET', '', '', '', 10220);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/product/:id/tsl', 'GET', '', '', '', 10221);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/role/list', 'GET', '', '', '', 10222);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/role/:roleId', 'GET', '', '', '', 10223);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/rule/chain/list', 'GET', '', '', '', 10224);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/rule/chain/:ruleId', 'GET', '', '', '', 10225);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/rule/chain/list/label', 'GET', '', '', '', 10226);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/rule/chain/log/list', 'GET', '', '', '', 10227);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/:screenId', 'GET', '', '', '', 10228);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/list', 'GET', '', '', '', 10229);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/group/list', 'GET', '', '', '', 10230);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/group/list/tree', 'GET', '', '', '', 10231);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/group/list/all', 'GET', '', '', '', 10232);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/visual/screen/group/:id', 'GET', '', '', '', 10233);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/template/list', 'GET', '', '', '', 10234);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/template/:id', 'GET', '', '', '', 10235);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/device/template/list/all', 'GET', '', '', '', 10236);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/user/list', 'GET', '', '', '', 10237);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/user/getById/:userId', 'GET', '', '', '', 10238);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/user/getInit', 'GET', '', '', '', 10239);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/system/user/getRoPo', 'GET', '', '', '', 10240);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/device/list', 'GET', '', '', '', 10241);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/:deviceSerial/channel', 'GET', '', '', '', 10242);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/:deviceSerial/channel/live', 'GET', '', '', '', 10243);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/:deviceSerial/ptz/start', 'GET', '', '', '', 10244);
INSERT INTO `casbin_rule` VALUES ('p', 'manage', '/video/ys/:deviceSerial/ptz/stop', 'GET', '', '', '', 10245);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/list', 'GET', '', '', '', 10425);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/all', 'GET', '', '', '', 10426);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/getPolicyPathByRoleId', 'GET', '', '', '', 10427);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/:id', 'GET', '', '', '', 10428);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api', 'POST', '', '', '', 10429);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api', 'PUT', '', '', '', 10430);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/api/:id', 'DELETE', '', '', '', 10431);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config/list', 'GET', '', '', '', 10432);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config/configKey', 'GET', '', '', '', 10433);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config/:configId', 'GET', '', '', '', 10434);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config', 'POST', '', '', '', 10435);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config', 'PUT', '', '', '', 10436);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/config/:configId', 'DELETE', '', '', '', 10437);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/list', 'GET', '', '', '', 10438);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/list/all', 'GET', '', '', '', 10439);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/list/tree', 'GET', '', '', '', 10440);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/:id', 'GET', '', '', '', 10441);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group', 'POST', '', '', '', 10442);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group', 'PUT', '', '', '', 10443);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/:id', 'DELETE', '', '', '', 10444);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/list', 'GET', '', '', '', 10445);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id', 'GET', '', '', '', 10446);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device', 'POST', '', '', '', 10447);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id', 'DELETE', '', '', '', 10448);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device', 'PUT', '', '', '', 10449);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/group/list/tree/label', 'GET', '', '', '', 10450);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/list/all', 'GET', '', '', '', 10451);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id/status', 'GET', '', '', '', 10452);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/alarm/list', 'GET', '', '', '', 10453);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/alarm', 'PUT', '', '', '', 10454);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/alarm/:id', 'DELETE', '', '', '', 10455);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/cmd/list', 'GET', '', '', '', 10456);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/cmd', 'POST', '', '', '', 10457);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/cmd/:id', 'DELETE', '', '', '', 10458);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id/attribute/down', 'GET', '', '', '', 10459);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id/property/history', 'GET', '', '', '', 10460);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/:id/allot/org', 'GET', '', '', '', 10461);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/panel', 'GET', '', '', '', 10462);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/alarm/panel', 'GET', '', '', '', 10463);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type/list', 'GET', '', '', '', 10464);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type/:dictId', 'GET', '', '', '', 10465);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type', 'POST', '', '', '', 10466);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type', 'PUT', '', '', '', 10467);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type/:dictId', 'DELETE', '', '', '', 10468);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/type/export', 'GET', '', '', '', 10469);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data/list', 'GET', '', '', '', 10470);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data/type', 'GET', '', '', '', 10471);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data/:dictCode', 'GET', '', '', '', 10472);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data', 'POST', '', '', '', 10473);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data', 'PUT', '', '', '', 10474);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/dict/data/:dictCode', 'DELETE', '', '', '', 10475);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/db/list', 'GET', '', '', '', 10476);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/list', 'GET', '', '', '', 10477);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/info/:tableId', 'GET', '', '', '', 10478);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/info/tableName', 'GET', '', '', '', 10479);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/tableTree', 'GET', '', '', '', 10480);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table', 'POST', '', '', '', 10481);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table', 'PUT', '', '', '', 10482);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/table/:tableId', 'DELETE', '', '', '', 10483);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/gen/preview/:tableId', 'GET', '', '', '', 10484);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/gen/code/:tableId', 'GET', '', '', '', 10485);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/develop/code/gen/configure/:tableId', 'GET', '', '', '', 10486);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/list', 'GET', '', '', '', 10487);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job', 'POST', '', '', '', 10488);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job', 'PUT', '', '', '', 10489);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/:jobId', 'GET', '', '', '', 10490);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/:jobId', 'DELETE', '', '', '', 10491);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/stop/:jobId', 'GET', '', '', '', 10492);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/start/:jobId', 'GET', '', '', '', 10493);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/log/list', 'GET', '', '', '', 10494);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/log/all', 'DELETE', '', '', '', 10495);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/log/:logId', 'DELETE', '', '', '', 10496);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/job/changeStatus', 'PUT', '', '', '', 10497);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logLogin/list', 'GET', '', '', '', 10498);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logLogin/:infoId', 'DELETE', '', '', '', 10499);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logLogin/all', 'DELETE', '', '', '', 10500);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logOper/list', 'GET', '', '', '', 10501);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logOper/:operId', 'DELETE', '', '', '', 10502);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/log/logOper/all', 'DELETE', '', '', '', 10503);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/menuTreeSelect', 'GET', '', '', '', 10504);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/menuRole', 'GET', '', '', '', 10505);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/roleMenuTreeSelect/:roleId', 'GET', '', '', '', 10506);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/menuPaths', 'GET', '', '', '', 10507);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/list', 'GET', '', '', '', 10508);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/:menuId', 'GET', '', '', '', 10509);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu', 'POST', '', '', '', 10510);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu', 'PUT', '', '', '', 10511);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/menu/:menuId', 'DELETE', '', '', '', 10512);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/notice/list', 'GET', '', '', '', 10513);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/notice', 'POST', '', '', '', 10514);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/notice', 'PUT', '', '', '', 10515);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/notice/:noticeId', 'DELETE', '', '', '', 10516);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/list', 'GET', '', '', '', 10517);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/:organizationId', 'GET', '', '', '', 10518);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/roleOrganizationTreeSelect/:roleId', 'GET', '', '', '', 10519);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/organizationTree', 'GET', '', '', '', 10520);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization', 'POST', '', '', '', 10521);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization', 'PUT', '', '', '', 10522);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/organization/:organizationId', 'DELETE', '', '', '', 10523);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota/list', 'GET', '', '', '', 10524);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota', 'POST', '', '', '', 10525);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota', 'PUT', '', '', '', 10526);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota/:id', 'DELETE', '', '', '', 10527);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/ota/:id', 'GET', '', '', '', 10528);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post/list', 'GET', '', '', '', 10529);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post/:postId', 'GET', '', '', '', 10530);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post', 'POST', '', '', '', 10531);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post', 'PUT', '', '', '', 10532);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/post/:postId', 'DELETE', '', '', '', 10533);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/list', 'GET', '', '', '', 10534);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/list/all', 'GET', '', '', '', 10535);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/list/tree', 'GET', '', '', '', 10536);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/:id', 'GET', '', '', '', 10537);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category', 'POST', '', '', '', 10538);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category', 'PUT', '', '', '', 10539);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/:id', 'DELETE', '', '', '', 10540);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/:id', 'DELETE', '', '', '', 10541);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/:id', 'GET', '', '', '', 10542);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product', 'PUT', '', '', '', 10543);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/list', 'GET', '', '', '', 10544);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product', 'POST', '', '', '', 10545);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/category/list/tree/label', 'GET', '', '', '', 10546);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/list/all', 'GET', '', '', '', 10547);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/product/:id/tsl', 'GET', '', '', '', 10548);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/list', 'GET', '', '', '', 10549);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/:roleId', 'GET', '', '', '', 10550);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role', 'POST', '', '', '', 10551);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role', 'PUT', '', '', '', 10552);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/:roleId', 'DELETE', '', '', '', 10553);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/changeStatus', 'PUT', '', '', '', 10554);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/dataScope', 'PUT', '', '', '', 10555);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/role/export', 'GET', '', '', '', 10556);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/changeRoot', 'PUT', '', '', '', 10557);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/list', 'GET', '', '', '', 10558);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/:ruleId', 'DELETE', '', '', '', 10559);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain', 'PUT', '', '', '', 10560);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain', 'POST', '', '', '', 10561);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/:ruleId', 'GET', '', '', '', 10562);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/list/label', 'GET', '', '', '', 10563);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/clone/:ruleId', 'POST', '', '', '', 10564);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/log/list', 'GET', '', '', '', 10565);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/rule/chain/log/delete', 'GET', '', '', '', 10566);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen', 'PUT', '', '', '', 10567);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/:screenId', 'GET', '', '', '', 10568);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/list', 'GET', '', '', '', 10569);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/:screenId', 'DELETE', '', '', '', 10570);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen', 'POST', '', '', '', 10571);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/changeStatus', 'PUT', '', '', '', 10572);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/list', 'GET', '', '', '', 10573);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/list/tree', 'GET', '', '', '', 10574);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/list/all', 'GET', '', '', '', 10575);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/:id', 'GET', '', '', '', 10576);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group', 'POST', '', '', '', 10577);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group', 'PUT', '', '', '', 10578);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/visual/screen/group/:id', 'DELETE', '', '', '', 10579);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template/list', 'GET', '', '', '', 10580);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template', 'PUT', '', '', '', 10581);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template/:id', 'GET', '', '', '', 10582);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template/:id', 'DELETE', '', '', '', 10583);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template', 'POST', '', '', '', 10584);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/device/template/list/all', 'GET', '', '', '', 10585);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/upload/up/oss', 'POST', '', '', '', 10586);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/upload/up', 'POST', '', '', '', 10587);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/list', 'GET', '', '', '', 10588);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/changeStatus', 'PUT', '', '', '', 10589);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/:userId', 'DELETE', '', '', '', 10590);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/avatar', 'POST', '', '', '', 10591);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/pwd', 'PUT', '', '', '', 10592);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/getById/:userId', 'GET', '', '', '', 10593);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/getInit', 'GET', '', '', '', 10594);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/getRoPo', 'GET', '', '', '', 10595);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user', 'POST', '', '', '', 10596);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user', 'PUT', '', '', '', 10597);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/system/user/export', 'GET', '', '', '', 10598);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/device/list', 'GET', '', '', '', 10599);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/:deviceSerial/channel', 'GET', '', '', '', 10600);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/:deviceSerial/channel/live', 'GET', '', '', '', 10601);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/:deviceSerial/ptz/start', 'GET', '', '', '', 10602);
INSERT INTO `casbin_rule` VALUES ('p', 'admin', '/video/ys/:deviceSerial/ptz/stop', 'GET', '', '', '', 10603);
-- ----------------------------
-- 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
-- ----------------------------
-- ----------------------------
-- 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_go_type` 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
-- ----------------------------
-- ----------------------------
-- 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
-- ----------------------------
-- ----------------------------
-- 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,
`mode` 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
-- ----------------------------
-- ----------------------------
-- 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 ('9uOQ1Ku0PQ', 'panda', 2, '2023-10-14 17:43:25', '2023-10-17 10:10:07', '默认分组', '0', '/0/9uOQ1Ku0PQ', '未定义分组的设备都在这里面', 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 ('2HbCMj8WOQ', 'panda', 2, '2023-10-12 19:22:25', '2023-10-12 19:22:25', 'sparksiiot', 'ZGRlMTE2NmEtYWY5MS0zZDRmLTlhYTktZWE1Njg5Yjk0MTlm', '星原网关', 'uqNNwYJ5rw', '5h2eEVcqLw', '', '0', '', 'null', '', 'gateway', 'online', '2023-10-14 21:32:48');
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', 'online', '2023-10-14 12:27:55');
INSERT INTO `devices` VALUES ('k2opRSpr-g', 'panda', 7, '2023-10-14 22:21:02', '2023-10-17 10:09:05', 'testsub', '', '测试子设备', 'I_HlHDdh_Q', '9uOQ1Ku0PQ', '', '0', '', 'null', 'rC82hwE6iw', 'gatewayS', 'online', '2023-10-17 16:10:48');
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', 'offline', '2023-10-08 13:52:06');
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', 'offline', '2023-10-07 15:03:32');
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', 'offline', '2023-10-17 16:35:39');
INSERT INTO `devices` VALUES ('YbWKD905pQ', 'panda', 2, '2023-10-12 19:23:29', '2023-10-12 19:23:29', 'Panasonic', '', '松下PLC', 'M32969chcw', '5h2eEVcqLw', '', '0', '', 'null', '2HbCMj8WOQ', 'gatewayS', 'online', '2023-10-12 19:53:59');
-- ----------------------------
-- 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
-- ----------------------------
-- ----------------------------
-- 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 = 3622 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 = 1759 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 ('-_FMhNN1QA', 'panda', 2, '2023-10-10 14:55:42', '2023-10-10 14:55:43', '温度传感器', '0', '/0/-_FMhNN1QA', '', 3, '0');
INSERT INTO `product_categories` VALUES ('4BqMUN37_g', 'panda', 2, '2023-10-10 14:56:41', '2023-10-10 14:56:42', 'xx温度传感器', '-_FMhNN1QA', '/0/-_FMhNN1QA/4BqMUN37_g', '', 1, '0');
INSERT INTO `product_categories` VALUES ('8f_oaHIo9A', 'panda', 2, '2023-10-12 19:17:09', '2023-10-12 19:17:09', 'SBOX-G系列网关', '0', '/0/8f_oaHIo9A', '', 4, '0');
INSERT INTO `product_categories` VALUES ('KVys13MMsA', 'panda', 2, '2023-10-14 17:36:30', '2023-10-17 10:09:57', '平台默认产品', '0', '/0/KVys13MMsA', '未定义产品的设备,默认继承的产品', 1, '0');
INSERT INTO `product_categories` VALUES ('oKQcjqY8ZQ', 'panda', 2, '2023-10-12 19:17:30', '2023-10-12 19:17:30', 'SBOX-G系列网关', '8f_oaHIo9A', '/0/8f_oaHIo9A/oKQcjqY8ZQ', '', 1, '0');
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',
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', '');
-- ----------------------------
-- 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',
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 ('5QH8bNo7iA', '2023-10-12 19:21:20', '2023-10-17 15:48:44', 'M32969chcw', 'telemetry', 'X00', 'X00', '', 'bool', '{\"boolDefine\": [{\"key\": \"0\", \"value\": \"正确\"}, {\"key\": \"1\", \"value\": \"失败\"}]}');
INSERT INTO `product_templates` VALUES ('8AcZGXTL5A', '2023-10-12 19:21:30', '2023-10-12 19:21:30', 'M32969chcw', 'telemetry', 'Y00', 'Y00', '', 'bool', '{\"boolDefine\": [{\"key\": \"0\", \"value\": \"\"}, {\"key\": \"1\", \"value\": \"\"}]}');
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\"}');
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', '{}');
INSERT INTO `product_templates` VALUES ('n_yL_KvBOg', '2023-10-17 10:46:14', '2023-10-17 10:46:14', 'I_HlHDdh_Q', 'telemetry', 'test', 'test', '', 'string', 'null');
INSERT INTO `product_templates` VALUES ('R83jjHlUog', '2023-10-12 19:21:45', '2023-10-12 19:21:45', 'M32969chcw', 'telemetry', 'D0', 'D0', '', 'int64', '{}');
INSERT INTO `product_templates` VALUES ('SrVmTxfd5A', '2023-10-17 15:50:22', '2023-10-17 16:11:39', 'I_HlHDdh_Q', 'telemetry', 'bolt', 'bolt', '', 'bool', '{\"boolDefine\": [{\"key\": \"0\", \"value\": \"失败\"}, {\"key\": \"1\", \"value\": \"正确\"}]}');
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\"}]}');
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\"}]}');
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\"}');
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\"}');
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\"}');
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\"}');
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\": []}');
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\"}');
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\"}');
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\"}');
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\": []}');
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\"}');
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\"}');
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\": []}');
-- ----------------------------
-- 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 ('I_HlHDdh_Q', 'panda', 2, '2023-10-14 17:37:14', '2023-10-17 11:36:32', '默认子网关', '', '', 'KVys13MMsA', 'MQTT', 'gatewayS', 'rulee765e9ef022812a8b89dfb4c', '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 ('M32969chcw', 'panda', 2, '2023-10-12 19:20:20', '2023-10-12 19:20:20', '松下PLC', '', '', 'oKQcjqY8ZQ', 'MQTT', 'gatewayS', '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');
INSERT INTO `products` VALUES ('uqNNwYJ5rw', 'panda', 2, '2023-10-12 19:19:17', '2023-10-12 19:19:17', '星原网关', '1df420e901be965018e95bac136ec17f_20231012191851.jpg', '', 'oKQcjqY8ZQ', '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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INSERT INTO `rule_chain` VALUES ('rulee765e9ef022812a8b89dfb4c', 'panda', 2, '2023-07-21 16:17:51', '2023-10-13 20:31:26', '1', 'Root Rule Chain', 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', '根链1', 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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
-- ----------------------------
-- ----------------------------
-- 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,
UNIQUE KEY `sys_apis_udk` (`path`,`method`)
) ENGINE = InnoDB AUTO_INCREMENT = 206 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01',
`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 = 179 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 (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, '告警监控', '', 0, 9, 'iconfont icon-gongju', '/tool', 'Layout', '1', '', 'M', '0', '1', '1', '', '0', 'admin', 'panda', '', '2021-12-16 16:35:15', '2023-10-18 10:17:52', 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 (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 (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 (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', '1', '1', '1', '', '1', 'panda', 'panda', '', '2023-09-02 13:52:17', '2023-10-24 14:05:25', 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 (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', '', '1', 'panda', 'panda', '', '2023-09-02 14:27:39', '2023-10-24 14:05:34', 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);
INSERT INTO `sys_menus` VALUES (178, '告警中心', '', 44, 1, 'iconfont icon-radio-off-full', '/tool/alarm', '/tool/alarm/index', '1', '', 'C', '0', '1', '1', 'tool:alarm:list', '0', 'panda', '', '', '2023-10-18 10:20:51', '2023-10-18 10:20:51', 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 = 4 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');
-- ----------------------------
-- 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 AUTO_INCREMENT = 8 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 AUTO_INCREMENT = 7 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 = 8253 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 (7878, 2, 1, 'manage');
INSERT INTO `sys_role_menus` VALUES (7879, 2, 3, 'manage');
INSERT INTO `sys_role_menus` VALUES (7880, 2, 4, 'manage');
INSERT INTO `sys_role_menus` VALUES (7881, 2, 5, 'manage');
INSERT INTO `sys_role_menus` VALUES (7882, 2, 6, 'manage');
INSERT INTO `sys_role_menus` VALUES (7883, 2, 7, 'manage');
INSERT INTO `sys_role_menus` VALUES (7884, 2, 8, 'manage');
INSERT INTO `sys_role_menus` VALUES (7885, 2, 9, 'manage');
INSERT INTO `sys_role_menus` VALUES (7886, 2, 10, 'manage');
INSERT INTO `sys_role_menus` VALUES (7887, 2, 11, 'manage');
INSERT INTO `sys_role_menus` VALUES (7888, 2, 12, 'manage');
INSERT INTO `sys_role_menus` VALUES (7889, 2, 13, 'manage');
INSERT INTO `sys_role_menus` VALUES (7890, 2, 14, 'manage');
INSERT INTO `sys_role_menus` VALUES (7891, 2, 15, 'manage');
INSERT INTO `sys_role_menus` VALUES (7892, 2, 16, 'manage');
INSERT INTO `sys_role_menus` VALUES (7893, 2, 17, 'manage');
INSERT INTO `sys_role_menus` VALUES (7894, 2, 18, 'manage');
INSERT INTO `sys_role_menus` VALUES (7895, 2, 19, 'manage');
INSERT INTO `sys_role_menus` VALUES (7896, 2, 20, 'manage');
INSERT INTO `sys_role_menus` VALUES (7897, 2, 21, 'manage');
INSERT INTO `sys_role_menus` VALUES (7898, 2, 22, 'manage');
INSERT INTO `sys_role_menus` VALUES (7899, 2, 23, 'manage');
INSERT INTO `sys_role_menus` VALUES (7900, 2, 24, 'manage');
INSERT INTO `sys_role_menus` VALUES (7901, 2, 25, 'manage');
INSERT INTO `sys_role_menus` VALUES (7902, 2, 26, 'manage');
INSERT INTO `sys_role_menus` VALUES (7903, 2, 28, 'manage');
INSERT INTO `sys_role_menus` VALUES (7904, 2, 29, 'manage');
INSERT INTO `sys_role_menus` VALUES (7905, 2, 30, 'manage');
INSERT INTO `sys_role_menus` VALUES (7906, 2, 31, 'manage');
INSERT INTO `sys_role_menus` VALUES (7907, 2, 32, 'manage');
INSERT INTO `sys_role_menus` VALUES (7908, 2, 33, 'manage');
INSERT INTO `sys_role_menus` VALUES (7909, 2, 34, 'manage');
INSERT INTO `sys_role_menus` VALUES (7910, 2, 35, 'manage');
INSERT INTO `sys_role_menus` VALUES (7911, 2, 36, 'manage');
INSERT INTO `sys_role_menus` VALUES (7912, 2, 37, 'manage');
INSERT INTO `sys_role_menus` VALUES (7913, 2, 38, 'manage');
INSERT INTO `sys_role_menus` VALUES (7914, 2, 39, 'manage');
INSERT INTO `sys_role_menus` VALUES (7915, 2, 40, 'manage');
INSERT INTO `sys_role_menus` VALUES (7916, 2, 41, 'manage');
INSERT INTO `sys_role_menus` VALUES (7917, 2, 42, 'manage');
INSERT INTO `sys_role_menus` VALUES (7918, 2, 43, 'manage');
INSERT INTO `sys_role_menus` VALUES (7919, 2, 44, 'manage');
INSERT INTO `sys_role_menus` VALUES (7920, 2, 45, 'manage');
INSERT INTO `sys_role_menus` VALUES (7921, 2, 46, 'manage');
INSERT INTO `sys_role_menus` VALUES (7922, 2, 47, 'manage');
INSERT INTO `sys_role_menus` VALUES (7923, 2, 49, 'manage');
INSERT INTO `sys_role_menus` VALUES (7924, 2, 50, 'manage');
INSERT INTO `sys_role_menus` VALUES (7925, 2, 51, 'manage');
INSERT INTO `sys_role_menus` VALUES (7926, 2, 52, 'manage');
INSERT INTO `sys_role_menus` VALUES (7927, 2, 55, 'manage');
INSERT INTO `sys_role_menus` VALUES (7928, 2, 59, 'manage');
INSERT INTO `sys_role_menus` VALUES (7929, 2, 60, 'manage');
INSERT INTO `sys_role_menus` VALUES (7930, 2, 63, 'manage');
INSERT INTO `sys_role_menus` VALUES (7931, 2, 64, 'manage');
INSERT INTO `sys_role_menus` VALUES (7932, 2, 69, 'manage');
INSERT INTO `sys_role_menus` VALUES (7933, 2, 70, 'manage');
INSERT INTO `sys_role_menus` VALUES (7934, 2, 71, 'manage');
INSERT INTO `sys_role_menus` VALUES (7935, 2, 72, 'manage');
INSERT INTO `sys_role_menus` VALUES (7936, 2, 73, 'manage');
INSERT INTO `sys_role_menus` VALUES (7937, 2, 74, 'manage');
INSERT INTO `sys_role_menus` VALUES (7938, 2, 75, 'manage');
INSERT INTO `sys_role_menus` VALUES (7939, 2, 76, 'manage');
INSERT INTO `sys_role_menus` VALUES (7940, 2, 77, 'manage');
INSERT INTO `sys_role_menus` VALUES (7941, 2, 95, 'manage');
INSERT INTO `sys_role_menus` VALUES (7942, 2, 96, 'manage');
INSERT INTO `sys_role_menus` VALUES (7943, 2, 97, 'manage');
INSERT INTO `sys_role_menus` VALUES (7944, 2, 98, 'manage');
INSERT INTO `sys_role_menus` VALUES (7945, 2, 100, 'manage');
INSERT INTO `sys_role_menus` VALUES (7946, 2, 102, 'manage');
INSERT INTO `sys_role_menus` VALUES (7947, 2, 103, 'manage');
INSERT INTO `sys_role_menus` VALUES (7948, 2, 104, 'manage');
INSERT INTO `sys_role_menus` VALUES (7949, 2, 105, 'manage');
INSERT INTO `sys_role_menus` VALUES (7950, 2, 106, 'manage');
INSERT INTO `sys_role_menus` VALUES (7951, 2, 107, 'manage');
INSERT INTO `sys_role_menus` VALUES (7952, 2, 114, 'manage');
INSERT INTO `sys_role_menus` VALUES (7953, 2, 115, 'manage');
INSERT INTO `sys_role_menus` VALUES (7954, 2, 116, 'manage');
INSERT INTO `sys_role_menus` VALUES (7955, 2, 117, 'manage');
INSERT INTO `sys_role_menus` VALUES (7956, 2, 118, 'manage');
INSERT INTO `sys_role_menus` VALUES (7957, 2, 119, 'manage');
INSERT INTO `sys_role_menus` VALUES (7958, 2, 120, 'manage');
INSERT INTO `sys_role_menus` VALUES (7959, 2, 121, 'manage');
INSERT INTO `sys_role_menus` VALUES (7960, 2, 122, 'manage');
INSERT INTO `sys_role_menus` VALUES (7961, 2, 131, 'manage');
INSERT INTO `sys_role_menus` VALUES (7962, 2, 132, 'manage');
INSERT INTO `sys_role_menus` VALUES (7963, 2, 133, 'manage');
INSERT INTO `sys_role_menus` VALUES (7964, 2, 134, 'manage');
INSERT INTO `sys_role_menus` VALUES (7965, 2, 135, 'manage');
INSERT INTO `sys_role_menus` VALUES (7966, 2, 136, 'manage');
INSERT INTO `sys_role_menus` VALUES (7967, 2, 137, 'manage');
INSERT INTO `sys_role_menus` VALUES (7968, 2, 138, 'manage');
INSERT INTO `sys_role_menus` VALUES (7969, 2, 139, 'manage');
INSERT INTO `sys_role_menus` VALUES (7970, 2, 140, 'manage');
INSERT INTO `sys_role_menus` VALUES (7971, 2, 141, 'manage');
INSERT INTO `sys_role_menus` VALUES (7972, 2, 142, 'manage');
INSERT INTO `sys_role_menus` VALUES (7973, 2, 143, 'manage');
INSERT INTO `sys_role_menus` VALUES (7974, 2, 144, 'manage');
INSERT INTO `sys_role_menus` VALUES (7975, 2, 145, 'manage');
INSERT INTO `sys_role_menus` VALUES (7976, 2, 146, 'manage');
INSERT INTO `sys_role_menus` VALUES (7977, 2, 147, 'manage');
INSERT INTO `sys_role_menus` VALUES (7978, 2, 148, 'manage');
INSERT INTO `sys_role_menus` VALUES (7979, 2, 149, 'manage');
INSERT INTO `sys_role_menus` VALUES (7980, 2, 152, 'manage');
INSERT INTO `sys_role_menus` VALUES (7981, 2, 153, 'manage');
INSERT INTO `sys_role_menus` VALUES (7982, 2, 154, 'manage');
INSERT INTO `sys_role_menus` VALUES (7983, 2, 155, 'manage');
INSERT INTO `sys_role_menus` VALUES (7984, 2, 156, 'manage');
INSERT INTO `sys_role_menus` VALUES (7985, 2, 157, 'manage');
INSERT INTO `sys_role_menus` VALUES (7986, 2, 158, 'manage');
INSERT INTO `sys_role_menus` VALUES (7987, 2, 159, 'manage');
INSERT INTO `sys_role_menus` VALUES (7988, 2, 160, 'manage');
INSERT INTO `sys_role_menus` VALUES (7989, 2, 161, 'manage');
INSERT INTO `sys_role_menus` VALUES (7990, 2, 164, 'manage');
INSERT INTO `sys_role_menus` VALUES (7991, 2, 165, 'manage');
INSERT INTO `sys_role_menus` VALUES (7992, 2, 166, 'manage');
INSERT INTO `sys_role_menus` VALUES (7993, 2, 167, 'manage');
INSERT INTO `sys_role_menus` VALUES (7994, 2, 168, 'manage');
INSERT INTO `sys_role_menus` VALUES (7995, 2, 169, 'manage');
INSERT INTO `sys_role_menus` VALUES (7996, 2, 170, 'manage');
INSERT INTO `sys_role_menus` VALUES (7997, 2, 171, 'manage');
INSERT INTO `sys_role_menus` VALUES (7998, 2, 175, 'manage');
INSERT INTO `sys_role_menus` VALUES (7999, 2, 176, 'manage');
INSERT INTO `sys_role_menus` VALUES (8000, 2, 177, 'manage');
INSERT INTO `sys_role_menus` VALUES (8128, 1, 1, 'admin');
INSERT INTO `sys_role_menus` VALUES (8129, 1, 3, 'admin');
INSERT INTO `sys_role_menus` VALUES (8130, 1, 4, 'admin');
INSERT INTO `sys_role_menus` VALUES (8131, 1, 5, 'admin');
INSERT INTO `sys_role_menus` VALUES (8132, 1, 6, 'admin');
INSERT INTO `sys_role_menus` VALUES (8133, 1, 7, 'admin');
INSERT INTO `sys_role_menus` VALUES (8134, 1, 8, 'admin');
INSERT INTO `sys_role_menus` VALUES (8135, 1, 9, 'admin');
INSERT INTO `sys_role_menus` VALUES (8136, 1, 10, 'admin');
INSERT INTO `sys_role_menus` VALUES (8137, 1, 11, 'admin');
INSERT INTO `sys_role_menus` VALUES (8138, 1, 12, 'admin');
INSERT INTO `sys_role_menus` VALUES (8139, 1, 13, 'admin');
INSERT INTO `sys_role_menus` VALUES (8140, 1, 14, 'admin');
INSERT INTO `sys_role_menus` VALUES (8141, 1, 15, 'admin');
INSERT INTO `sys_role_menus` VALUES (8142, 1, 16, 'admin');
INSERT INTO `sys_role_menus` VALUES (8143, 1, 17, 'admin');
INSERT INTO `sys_role_menus` VALUES (8144, 1, 18, 'admin');
INSERT INTO `sys_role_menus` VALUES (8145, 1, 19, 'admin');
INSERT INTO `sys_role_menus` VALUES (8146, 1, 20, 'admin');
INSERT INTO `sys_role_menus` VALUES (8147, 1, 21, 'admin');
INSERT INTO `sys_role_menus` VALUES (8148, 1, 22, 'admin');
INSERT INTO `sys_role_menus` VALUES (8149, 1, 23, 'admin');
INSERT INTO `sys_role_menus` VALUES (8150, 1, 24, 'admin');
INSERT INTO `sys_role_menus` VALUES (8151, 1, 25, 'admin');
INSERT INTO `sys_role_menus` VALUES (8152, 1, 26, 'admin');
INSERT INTO `sys_role_menus` VALUES (8153, 1, 28, 'admin');
INSERT INTO `sys_role_menus` VALUES (8154, 1, 29, 'admin');
INSERT INTO `sys_role_menus` VALUES (8155, 1, 30, 'admin');
INSERT INTO `sys_role_menus` VALUES (8156, 1, 31, 'admin');
INSERT INTO `sys_role_menus` VALUES (8157, 1, 32, 'admin');
INSERT INTO `sys_role_menus` VALUES (8158, 1, 33, 'admin');
INSERT INTO `sys_role_menus` VALUES (8159, 1, 34, 'admin');
INSERT INTO `sys_role_menus` VALUES (8160, 1, 35, 'admin');
INSERT INTO `sys_role_menus` VALUES (8161, 1, 36, 'admin');
INSERT INTO `sys_role_menus` VALUES (8162, 1, 37, 'admin');
INSERT INTO `sys_role_menus` VALUES (8163, 1, 38, 'admin');
INSERT INTO `sys_role_menus` VALUES (8164, 1, 39, 'admin');
INSERT INTO `sys_role_menus` VALUES (8165, 1, 40, 'admin');
INSERT INTO `sys_role_menus` VALUES (8166, 1, 41, 'admin');
INSERT INTO `sys_role_menus` VALUES (8167, 1, 42, 'admin');
INSERT INTO `sys_role_menus` VALUES (8168, 1, 43, 'admin');
INSERT INTO `sys_role_menus` VALUES (8169, 1, 44, 'admin');
INSERT INTO `sys_role_menus` VALUES (8170, 1, 45, 'admin');
INSERT INTO `sys_role_menus` VALUES (8171, 1, 46, 'admin');
INSERT INTO `sys_role_menus` VALUES (8172, 1, 47, 'admin');
INSERT INTO `sys_role_menus` VALUES (8173, 1, 49, 'admin');
INSERT INTO `sys_role_menus` VALUES (8174, 1, 50, 'admin');
INSERT INTO `sys_role_menus` VALUES (8175, 1, 51, 'admin');
INSERT INTO `sys_role_menus` VALUES (8176, 1, 52, 'admin');
INSERT INTO `sys_role_menus` VALUES (8177, 1, 55, 'admin');
INSERT INTO `sys_role_menus` VALUES (8178, 1, 59, 'admin');
INSERT INTO `sys_role_menus` VALUES (8179, 1, 60, 'admin');
INSERT INTO `sys_role_menus` VALUES (8180, 1, 63, 'admin');
INSERT INTO `sys_role_menus` VALUES (8181, 1, 64, 'admin');
INSERT INTO `sys_role_menus` VALUES (8182, 1, 69, 'admin');
INSERT INTO `sys_role_menus` VALUES (8183, 1, 70, 'admin');
INSERT INTO `sys_role_menus` VALUES (8184, 1, 71, 'admin');
INSERT INTO `sys_role_menus` VALUES (8185, 1, 72, 'admin');
INSERT INTO `sys_role_menus` VALUES (8186, 1, 73, 'admin');
INSERT INTO `sys_role_menus` VALUES (8187, 1, 74, 'admin');
INSERT INTO `sys_role_menus` VALUES (8188, 1, 75, 'admin');
INSERT INTO `sys_role_menus` VALUES (8189, 1, 76, 'admin');
INSERT INTO `sys_role_menus` VALUES (8190, 1, 77, 'admin');
INSERT INTO `sys_role_menus` VALUES (8191, 1, 95, 'admin');
INSERT INTO `sys_role_menus` VALUES (8192, 1, 96, 'admin');
INSERT INTO `sys_role_menus` VALUES (8193, 1, 97, 'admin');
INSERT INTO `sys_role_menus` VALUES (8194, 1, 98, 'admin');
INSERT INTO `sys_role_menus` VALUES (8195, 1, 100, 'admin');
INSERT INTO `sys_role_menus` VALUES (8196, 1, 102, 'admin');
INSERT INTO `sys_role_menus` VALUES (8197, 1, 103, 'admin');
INSERT INTO `sys_role_menus` VALUES (8198, 1, 104, 'admin');
INSERT INTO `sys_role_menus` VALUES (8199, 1, 105, 'admin');
INSERT INTO `sys_role_menus` VALUES (8200, 1, 106, 'admin');
INSERT INTO `sys_role_menus` VALUES (8201, 1, 107, 'admin');
INSERT INTO `sys_role_menus` VALUES (8202, 1, 114, 'admin');
INSERT INTO `sys_role_menus` VALUES (8203, 1, 115, 'admin');
INSERT INTO `sys_role_menus` VALUES (8204, 1, 116, 'admin');
INSERT INTO `sys_role_menus` VALUES (8205, 1, 117, 'admin');
INSERT INTO `sys_role_menus` VALUES (8206, 1, 118, 'admin');
INSERT INTO `sys_role_menus` VALUES (8207, 1, 119, 'admin');
INSERT INTO `sys_role_menus` VALUES (8208, 1, 120, 'admin');
INSERT INTO `sys_role_menus` VALUES (8209, 1, 121, 'admin');
INSERT INTO `sys_role_menus` VALUES (8210, 1, 122, 'admin');
INSERT INTO `sys_role_menus` VALUES (8211, 1, 131, 'admin');
INSERT INTO `sys_role_menus` VALUES (8212, 1, 132, 'admin');
INSERT INTO `sys_role_menus` VALUES (8213, 1, 133, 'admin');
INSERT INTO `sys_role_menus` VALUES (8214, 1, 134, 'admin');
INSERT INTO `sys_role_menus` VALUES (8215, 1, 135, 'admin');
INSERT INTO `sys_role_menus` VALUES (8216, 1, 136, 'admin');
INSERT INTO `sys_role_menus` VALUES (8217, 1, 137, 'admin');
INSERT INTO `sys_role_menus` VALUES (8218, 1, 138, 'admin');
INSERT INTO `sys_role_menus` VALUES (8219, 1, 139, 'admin');
INSERT INTO `sys_role_menus` VALUES (8220, 1, 140, 'admin');
INSERT INTO `sys_role_menus` VALUES (8221, 1, 141, 'admin');
INSERT INTO `sys_role_menus` VALUES (8222, 1, 142, 'admin');
INSERT INTO `sys_role_menus` VALUES (8223, 1, 143, 'admin');
INSERT INTO `sys_role_menus` VALUES (8224, 1, 144, 'admin');
INSERT INTO `sys_role_menus` VALUES (8225, 1, 145, 'admin');
INSERT INTO `sys_role_menus` VALUES (8226, 1, 146, 'admin');
INSERT INTO `sys_role_menus` VALUES (8227, 1, 147, 'admin');
INSERT INTO `sys_role_menus` VALUES (8228, 1, 148, 'admin');
INSERT INTO `sys_role_menus` VALUES (8229, 1, 149, 'admin');
INSERT INTO `sys_role_menus` VALUES (8230, 1, 152, 'admin');
INSERT INTO `sys_role_menus` VALUES (8231, 1, 153, 'admin');
INSERT INTO `sys_role_menus` VALUES (8232, 1, 154, 'admin');
INSERT INTO `sys_role_menus` VALUES (8233, 1, 155, 'admin');
INSERT INTO `sys_role_menus` VALUES (8234, 1, 156, 'admin');
INSERT INTO `sys_role_menus` VALUES (8235, 1, 157, 'admin');
INSERT INTO `sys_role_menus` VALUES (8236, 1, 158, 'admin');
INSERT INTO `sys_role_menus` VALUES (8237, 1, 159, 'admin');
INSERT INTO `sys_role_menus` VALUES (8238, 1, 160, 'admin');
INSERT INTO `sys_role_menus` VALUES (8239, 1, 161, 'admin');
INSERT INTO `sys_role_menus` VALUES (8240, 1, 164, 'admin');
INSERT INTO `sys_role_menus` VALUES (8241, 1, 165, 'admin');
INSERT INTO `sys_role_menus` VALUES (8242, 1, 168, 'admin');
INSERT INTO `sys_role_menus` VALUES (8243, 1, 169, 'admin');
INSERT INTO `sys_role_menus` VALUES (8244, 1, 170, 'admin');
INSERT INTO `sys_role_menus` VALUES (8245, 1, 171, 'admin');
INSERT INTO `sys_role_menus` VALUES (8246, 1, 172, 'admin');
INSERT INTO `sys_role_menus` VALUES (8247, 1, 173, 'admin');
INSERT INTO `sys_role_menus` VALUES (8248, 1, 174, 'admin');
INSERT INTO `sys_role_menus` VALUES (8249, 1, 175, 'admin');
INSERT INTO `sys_role_menus` VALUES (8250, 1, 176, 'admin');
INSERT INTO `sys_role_menus` VALUES (8251, 1, 177, 'admin');
INSERT INTO `sys_role_menus` VALUES (8252, 1, 178, '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', '2023-10-18 10:23:08', NULL);
INSERT INTO `sys_roles` VALUES (2, '管理员', '0', 'manage', '1', 2, 'panda', 'panda', '', '2021-12-19 16:06:20', '2023-10-07 11:37:58', 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');
-- ----------------------------
-- Table structure for video_channels
-- ----------------------------
DROP TABLE IF EXISTS `video_channels`;
CREATE TABLE `video_channels` (
`id` int(0) UNSIGNED NOT NULL AUTO_INCREMENT,
`create_time` bigint(0) NULL DEFAULT NULL,
`update_time` bigint(0) NULL DEFAULT NULL,
`channelid` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`deviceid` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`memo` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`manufacturer` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`model` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`owner` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`civilcode` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`address` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`parental` int(0) NULL DEFAULT NULL,
`safetyway` int(0) NULL DEFAULT NULL,
`registerway` int(0) NULL DEFAULT NULL,
`secrecy` int(0) NULL DEFAULT NULL,
`status` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`active` bigint(0) NULL DEFAULT NULL,
`uri` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`vf` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`height` int(0) NULL DEFAULT NULL,
`width` int(0) NULL DEFAULT NULL,
`fps` int(0) NULL DEFAULT NULL,
`streamtype` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`url` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of video_channels
-- ----------------------------
INSERT INTO `video_channels` VALUES (1, 1698039122, 1698043094, '37070000081318000001', '37070000081118000001', '通道1', 'channel1', 'Happytimesoft', 'IPC', 'Owner', '3707000008', 'Address', 0, 0, 1, 0, 'ON', 1698043094, 'sip:37070000081318000001@3707000008', '', 0, 0, 0, 'push', '');
-- ----------------------------
-- Table structure for video_devices
-- ----------------------------
DROP TABLE IF EXISTS `video_devices`;
CREATE TABLE `video_devices` (
`id` int(0) UNSIGNED NOT NULL AUTO_INCREMENT,
`owner` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`org_id` bigint(0) NULL DEFAULT NULL,
`create_time` bigint(0) NULL DEFAULT NULL,
`update_time` bigint(0) NULL DEFAULT NULL,
`name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`deviceid` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`region` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`host` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`port` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`transport` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`proto` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`report` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`raddr` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`manufacturer` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`devicetype` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`firmware` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`model` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`uri` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`active` bigint(0) NULL DEFAULT NULL,
`regist` tinyint(1) NULL DEFAULT NULL,
`pwd` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`source` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`expires` int(0) UNSIGNED NULL DEFAULT NULL,
`registerTime` bigint(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 4 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of video_devices
-- ----------------------------
INSERT INTO `video_devices` VALUES (1, '', 0, 1698038844, 1698043099, '设备1', '37070000081118000001', '3707000008', '192.168.10.42', '51906', 'UDP', '', '', '', 'Happytimesoft', '', 'V1.0', 'HTIPC', 'sip:37070000081118000001@3707000008', 1698043094, 0, '11111', '172.17.0.1:59217', 0, 1698043099);
INSERT INTO `video_devices` VALUES (2, 'panda', 2, 1698046874, 1698046874, '设备1', '37070000081118000002', '3707000008', '', '', '', '', '', '', '', '', '', '', '', 0, 0, '11111', '', NULL, 0);
INSERT INTO `video_devices` VALUES (3, 'panda', 2, 1698047362, 1698047362, '设备2', '37070000081118000003', '3707000008', '', '', '', '', '', '', '', '', '', '', '', 0, 0, '22222', '', NULL, 0);
-- ----------------------------
-- Table structure for video_files
-- ----------------------------
DROP TABLE IF EXISTS `video_files`;
CREATE TABLE `video_files` (
`id` int(0) UNSIGNED NOT NULL AUTO_INCREMENT,
`create_time` bigint(0) NULL DEFAULT NULL,
`update_time` bigint(0) NULL DEFAULT NULL,
`start` bigint(0) NULL DEFAULT NULL,
`end` bigint(0) NULL DEFAULT NULL,
`stream` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`f_id` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`status` int(0) NULL DEFAULT NULL,
`file` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`clear` tinyint(1) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of video_files
-- ----------------------------
-- ----------------------------
-- Table structure for video_streams
-- ----------------------------
DROP TABLE IF EXISTS `video_streams`;
CREATE TABLE `video_streams` (
`id` int(0) UNSIGNED NOT NULL AUTO_INCREMENT,
`create_time` bigint(0) NULL DEFAULT NULL,
`update_time` bigint(0) NULL DEFAULT NULL,
`t` int(0) NULL DEFAULT NULL,
`deviceid` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`channelid` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`streamtype` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`status` int(0) NULL DEFAULT NULL,
`ftag` json NULL,
`ttag` json NULL,
`callid` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`stop` tinyint(1) NULL DEFAULT NULL,
`msg` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`cseqno` int(0) UNSIGNED NULL DEFAULT NULL,
`streamid` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`http` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`rtmp` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`rtsp` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`wsflv` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`stream` tinyint(1) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 9 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of video_streams
-- ----------------------------
INSERT INTO `video_streams` VALUES (1, 1698039787, 1698039787, 0, '37070000081118000001', '37070000081318000001', 'push', 0, '{}', '{}', '', 0, '', 0, '29B92701', '', '', '', '', 0);
INSERT INTO `video_streams` VALUES (2, 1698039816, 1698039816, 0, '37070000081118000001', '37070000081318000001', 'push', 0, '{}', '{}', '', 0, '', 0, '29B92702', '', '', '', '', 0);
INSERT INTO `video_streams` VALUES (3, 1698039887, 1698039890, 0, '37070000081118000001', '37070000081318000001', 'push', 1, '{\"tag\": \"o8MWSBZj57pch4TdzXgq\"}', '{\"tag\": \"00005d03\"}', '4B0LFTByOlfCOmAWf0bYyzJQLIyzi73p', 1, '', 3, '29B92703', 'http://localhost:8080/rtp/29B92703/hls.m3u8', 'rtmp://localhost:1935/rtp/29B92703', 'rtsp://localhost:554/rtp/29B92703', 'ws://localhost:8080/rtp/29B92703.live.flv', 0);
INSERT INTO `video_streams` VALUES (4, 1698040159, 1698040161, 0, '37070000081118000001', '37070000081318000001', 'push', 1, '{\"tag\": \"UDFgzmV1lrdl2LuJfGTx\"}', '{\"tag\": \"00006df1\"}', 'PayEguj27LYBML2kW1yUV2o1qq27NyqO', 1, '', 3, '29B92704', 'http://localhost:8080/rtp/29B92704/hls.m3u8', 'rtmp://localhost:1935/rtp/29B92704', 'rtsp://localhost:554/rtp/29B92704', 'ws://localhost:8080/rtp/29B92704.live.flv', 0);
INSERT INTO `video_streams` VALUES (5, 1698040772, 1698040774, 0, '37070000081118000001', '37070000081318000001', 'push', 1, '{\"tag\": \"UqYBOalMDruqRNzQy0U3\"}', '{\"tag\": \"00005815\"}', '1ZZ0t54YHYT9hWdAfhs2T4FpDNkZdUuF', 1, '', 3, '29B92705', 'http://192.168.10.42:880/rtp/29B92705/hls.m3u8', 'rtmp://192.168.10.42:1935/rtp/29B92705', 'rtsp://192.168.10.42:554/rtp/29B92705', 'ws://192.168.10.42:880/rtp/29B92705.live.flv', 0);
INSERT INTO `video_streams` VALUES (6, 1698040846, 1698040848, 0, '37070000081118000001', '37070000081318000001', 'push', 1, '{\"tag\": \"A9Y1RLkAbi1WM7XOhyzS\"}', '{\"tag\": \"00004c66\"}', 'A9Y1RLkAbi1WM7XOhyzSGdC5KhGrtMck', 1, '', 3, '29B92706', 'http://192.168.10.42:880/rtp/29B92706/hls.m3u8', 'rtmp://192.168.10.42:1935/rtp/29B92706', 'rtsp://192.168.10.42:554/rtp/29B92706', 'ws://192.168.10.42:880/rtp/29B92706.live.flv', 0);
INSERT INTO `video_streams` VALUES (7, 1698041624, 1698041626, 0, '37070000081118000001', '37070000081318000001', 'push', 1, '{\"tag\": \"BuNJYjbO5dHIpA9p4RIK\"}', '{\"tag\": \"0000065a\"}', 'wET8Bq0EutPQYQMaws0mOhmw6oEDqnnt', 1, '', 3, '29B92707', 'http://192.168.10.42:880/rtp/29B92707/hls.m3u8', 'rtmp://192.168.10.42:1935/rtp/29B92707', 'rtsp://192.168.10.42:554/rtp/29B92707', 'ws://192.168.10.42:880/rtp/29B92707.live.flv', 0);
INSERT INTO `video_streams` VALUES (8, 1698042098, 1698042100, 0, '37070000081118000001', '37070000081318000001', 'push', 1, '{\"tag\": \"D5AWrSB2DpNvi3qjbv4Q\"}', '{\"tag\": \"00007fd6\"}', 'kpvlQ0k85O21AhTiBNcdQX0pC5ASb4pf', 1, '', 3, '29B92708', 'http://192.168.10.42:880/rtp/29B92708/hls.m3u8', 'rtmp://192.168.10.42:1935/rtp/29B92708', 'rtsp://192.168.10.42:554/rtp/29B92708', 'ws://192.168.10.42:880/rtp/29B92708.live.flv', 0);
-- ----------------------------
-- Table structure for video_sys_infos
-- ----------------------------
DROP TABLE IF EXISTS `video_sys_infos`;
CREATE TABLE `video_sys_infos` (
`id` int(0) UNSIGNED NOT NULL AUTO_INCREMENT,
`create_time` bigint(0) NULL DEFAULT NULL,
`update_time` bigint(0) NULL DEFAULT NULL,
`region` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`c_id` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`cnum` int(0) NULL DEFAULT NULL,
`d_id` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`dnum` int(0) NULL DEFAULT NULL,
`l_id` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`media_server` tinyint(1) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of video_sys_infos
-- ----------------------------
INSERT INTO `video_sys_infos` VALUES (1, 1698038782, 1698047362, '3707000008', '37070000081318', 1, '37070000081118', 3, '37070000082008000001', 0);
-- ----------------------------
-- Table structure for video_ys
-- ----------------------------
DROP TABLE IF EXISTS `video_ys`;
CREATE TABLE `video_ys` (
`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',
`description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '产品说明',
`app_key` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,
`secret` varchar(255) 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 video_ys
-- ----------------------------
-- ----------------------------
-- 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
-- ----------------------------
-- ----------------------------
-- 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
-- ----------------------------
-- ----------------------------
-- 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01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
-- ----------------------------
-- ----------------------------
-- 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 ('pxaec91a00471c2633dafc430f', 3, '测试大屏', '{\"lfData\":[{\"name\":\"首屏\",\"dataCode\":{\"nodes\":[{\"id\":\"ddd271a7-49a6-4537-be99-3f3359b3978b\",\"type\":\"water-pool\",\"x\":190,\"y\":391,\"properties\":{\"icon\":\"icon_module/svg/pool.svg\",\"name\":\"水池\",\"textColor\":\"#59a5a5\",\"textSize\":20,\"borderWidth\":4,\"borderColor\":\"#1f1f1f\",\"poolType\":\"pool\",\"mainColor\":\"#a0edff\",\"fuColor\":\"rgba(40, 187, 255, 0.5)\",\"metadata\":\"{\\n\\t\\\"value\\\": 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', 'da', '0', '2023-07-24 09:51:02', '2023-10-05 07:29:49', 'panda', 2);
INSERT INTO `visual_screen` VALUES ('zt_08ca17dbc53c916369ffb3d0', 2, '测试组态', 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', 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', '', '0', '2023-10-05 07:35:58', '2023-10-05 07:41:23', '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;