spring:
  datasourcePrevent:                                #作弊防控数据源
    type: com.alibaba.druid.pool.DruidDataSource
    url: jdbc:oracle:thin:@119.96.87.17:1521:orcl
    username: zbfk_zt
    password: zbfk
    driver-class-name: oracle.jdbc.OracleDriver
    initialSize: 5                                  #初始化提供的连接数
    minIdle: 5                                      #数据库连接池的最小维持连接数
    maxActive: 20                                   #最大的连接数
    maxWait: 60000                                  #最大等待时间
    timeBetweenEvictionRunsMillis: 60000            #空闲时间超过minEvictableIdleTimeMillis的连接则释放
    minEvictableIdleTimeMillis: 300000              #等待连接获取的最大超时时间
    validationQuery: SELECT 1 FROM DUAL             #启动开启检查连接性
    filters: stat,wall,log4j                        #监控配置
    connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000  # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
    useGlobalDataSourceStat: true                   # 合并多个DruidDataSource的监控数据


  datasourceBaseLibrary:                            #基础数据库数据源
    type: com.alibaba.druid.pool.DruidDataSource
    url: jdbc:oracle:thin:@119.96.87.17:1521:orcl
    username: jcsj
    password: jcsj123
    driver-class-name: oracle.jdbc.OracleDriver
    initialSize: 5                                  #初始化提供的连接数
    minIdle: 5                                      #数据库连接池的最小维持连接数
    maxActive: 20                                   #最大的连接数
    maxWait: 60000
    timeBetweenEvictionRunsMillis: 60000            #空闲时间超过minEvictableIdleTimeMillis的连接则释放
    minEvictableIdleTimeMillis: 300000              #等待连接获取的最大超时时间
    validationQuery: SELECT 1 FROM DUAL             #启动开启检查连接性
    filters: stat,wall,log4j                        #监控配置
    connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000  # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
    useGlobalDataSourceStat: true                   # 合并多个DruidDataSource的监控数据

  datasourceCommand:                                #应急指挥库数据源
    type: com.alibaba.druid.pool.DruidDataSource
    url: jdbc:oracle:thin:@119.96.87.17:1521:orcl
    username: yjzh_zt
    password: yjzh_zt
    driver-class-name: oracle.jdbc.OracleDriver
    initialSize: 5                                  #初始化提供的连接数
    minIdle: 5                                      #数据库连接池的最小维持连接数
    maxActive: 20                                   #最大的连接数
    maxWait: 60000
    timeBetweenEvictionRunsMillis: 60000            #空闲时间超过minEvictableIdleTimeMillis的连接则释放
    minEvictableIdleTimeMillis: 300000              #等待连接获取的最大超时时间
    validationQuery: SELECT 1 FROM DUAL             #启动开启检查连接性
    filters: stat,wall,log4j                        #监控配置
    connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000  # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
    useGlobalDataSourceStat: true                   # 合并多个DruidDataSource的监控数据

  datasourceIdentity:                                #身份认证库数据源
    type: com.alibaba.druid.pool.DruidDataSource
    url: jdbc:oracle:thin:@119.96.87.17:1521:orcl
    username: SFRZXT_ZT
    password: SFRZXT_ZT
    driver-class-name: oracle.jdbc.OracleDriver
    initialSize: 5                                  #初始化提供的连接数
    minIdle: 5                                      #数据库连接池的最小维持连接数
    maxActive: 20                                   #最大的连接数
    maxWait: 60000
    timeBetweenEvictionRunsMillis: 60000            #空闲时间超过minEvictableIdleTimeMillis的连接则释放
    minEvictableIdleTimeMillis: 300000              #等待连接获取的最大超时时间
    validationQuery: SELECT 1 FROM DUAL             #启动开启检查连接性
    filters: stat,wall,log4j                        #监控配置
    connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000  # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
    useGlobalDataSourceStat: true                   # 合并多个DruidDataSource的监控数据

  datasourceInspection:                                #网上巡查数据源
    type: com.alibaba.druid.pool.DruidDataSource
    url: jdbc:oracle:thin:@119.96.87.17:1521:orcl
    username: WSXC_ZT
    password: wsxczt123
    driver-class-name: oracle.jdbc.OracleDriver
    initialSize: 5                                  #初始化提供的连接数
    minIdle: 5                                      #数据库连接池的最小维持连接数
    maxActive: 20                                   #最大的连接数
    maxWait: 60000
    timeBetweenEvictionRunsMillis: 60000            #空闲时间超过minEvictableIdleTimeMillis的连接则释放
    minEvictableIdleTimeMillis: 300000              #等待连接获取的最大超时时间
    validationQuery: SELECT 1 FROM DUAL             #启动开启检查连接性
    filters: stat,wall,log4j                        #监控配置
    connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000  # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
    useGlobalDataSourceStat: true                   # 合并多个DruidDataSource的监控数据

cache:
  redis:
    entity:30;account:30;

global:
  swagger:
    import: true

aliyun:
  accessKeyId: LTAI4FkmdGP1dhEMWs1Csnm5
  accessKeySecret: 66Kdty0k1aC9GUofUdHzLduoQxzS8p
  endpointUrl: http://1608795094315923.mns.cn-beijing.aliyuncs.com/

yunji:
  notifyCWriteIO: http://119.96.87.17:8085/wsxc/yj/notifyCWriteIO

qxjFtp:  #湖北气象局ftp服务器配置
  ip: 119.96.96.160
  port: 21
  username: ksy
  password: kSy@0707
  yjFilePath: /yj/
  ybFilePath: /yb/
  yjDownPath: d:/yj/
  ybDownPath: d:/yb/

yjzh:
   sendWarnInfo: http://119.96.87.17:19002/open/zh/weather/sendWeatherMsg

#datav大屏配置
datav:
  menuUrlPrefix: http://127.0.0.1:8181/
  boundJsonUrlPrefix: https://testmap.oss-cn-beijing.aliyuncs.com/  #下钻热力层边界json文件url前缀
  boundTopoJsonUrlPrefix: https://testmap.oss-cn-beijing.aliyuncs.com/ #下钻热力层边界topojson文件url前缀
  boundJsonUrlSuffix: .json                         #下钻热力层边界json文件url后缀
  boundTopoJsonUrlSuffix: .topojson                 #下钻热力层边界topojson文件url后缀
  tokenUrlNodejsPath: D:/opt/project/nodeExe/nodeExe.js       #生成dataV分享页Token参数签名校验的node文件路径
  wsyqxtUrl: http://tsgz.istarshine.com/#/userLogin?token=16e614fe-2425-44fe-b773-e2391a0a0d20&type=token&goback=false # iframe引入网上舆情大屏地址


  kqzlScreeId: cfbc1b232d7ffc59e0fb2bac3f2ea69a     #考情总览大屏ID
  kqzlToken: ZQ2vIEaOoSd76_yuWGsv-1k89xj9BdpC       #考情总览大屏TOKEN

  sfrzScreeId: e96d1728503584a70743164a08bd45d9     #身份认证大屏ID
  sfrzToken: e4gb2LAbibJyX4-XE76wbqebLO4mwor1       #身份认证大屏TOKEN

  zbfkScreeId: 7b8d60dd1358d24634ed61eabe45b04f     #作弊防控大屏ID
  zbfkToken: XVgqxhl3dnUuG-ay_9EOof-uLuR1uGMi       #作弊防控大屏TOKEN

  wsxcScreeId: 04d31b6de71605ff3a293c6a7c74323d     #网上巡查大屏ID
  wsxcToken: Kd6n4Kw_gmPSSVubv1qxuRamFLnRs7Yz       #网上巡查大屏TOKEN

  yjzhScreeId: 99bde6b44c2441665ebca0974854999c     #应急指挥大屏ID
  yjzhToken: cD4SvgWElGQuViqI3e8TBAb60MaC9b1E       #应急指挥大屏TOKEN

  khScreeId: 1670e4e492dd420fedac4f2c7de87176     #考后看板大屏ID
  khToken: LavCWKXaTOBlobsi7NW2sugqxZlOHiZ3       #考后大屏TOKEN

  kzScreeId: 812685b36b9a0c456948500e40b05ef5     #考中大屏ID
  kzToken: FJuARbk7crCVi-iHCFHQRbRO7gxDvxn7       #考中大屏TOKEN

  kqScreeId: 01f55699d5b426f79f8eac5432fcabec     #考前看板大屏ID
  kqToken: 4y7LyDiVVJDekIpuPHFj9-wjPxTcW0D7       #考前大屏TOKEN

  kdScreeId: 88b43e2626bc67dc59260c5cebddf68a     #考点看板大屏ID
  kdToken: v9BVQZMFsmoL5siwS9o6dRL71nrg-iIV       #考点大屏TOKEN

  wsyqScreeId: 1b7d9921d0ca64a50e5dd7e8e02f476a     #网上舆情看板大屏ID
  wsyqToken: X2IQ6m4pAXPwNAiBY2qBOOpyCk8hWMNC       #网上舆情大屏TOKEN

  kzyqScreeId: 224cfe42a090a2cc85e1408cf12a0857     #考中疫情看板大屏ID
  kzyqToken: 5DoeDCDVEfYz-xGhaWBeM9cgckdvnOdC       #考中疫情大屏TOKEN

  qxxxScreeId: 0936173fca5bf44817d7497cf871a49c     #气象信息看板大屏ID
  qxxxToken: LJG_rtdAKYDh0KEcYW0-HdDDz6Vc8BbB       #气象信息大屏TOKEN