网关部署环境
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@ -2,9 +2,15 @@
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# 使用官方Eclipse Temurin镜像作为基础镜像（JDK17兼容Spring Boot 3.x）
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FROM eclipse-temurin:17-jdk-jammy
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# 设置工作目录
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WORKDIR /app
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# 创建日志目录
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RUN mkdir -p /app/logs && chmod 755 /app/logs
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VOLUME /opt/docker-images
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ADD ebike-gather-0.0.1-SNAPSHOT.jar /ebike-gather.jar
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ADD ebike-gather-0.0.1-SNAPSHOT.jar /app/ebike-gather.jar
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# 设置JVM参数（根据实际需求调整）
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@ -3,6 +3,9 @@ package org.cdzy.gather;
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import org.springframework.boot.SpringApplication;
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import org.springframework.boot.autoconfigure.SpringBootApplication;
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/**
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* @author attiya
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*/
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@SpringBootApplication
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public class EbikeGatherApplication {
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@ -1,3 +1,53 @@
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server:
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port: 10011
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servlet:
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context-path: /gather
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spring:
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application:
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name: ebike-gather
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jackson:
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time-zone: GMT+8
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cloud:
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nacos:
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server-addr: 47.109.141.125:8848 # nacos
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username: nacos
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password: nacos
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kafka:
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bootstrap-servers: 47.109.141.125:9092
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producer:
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retries: 0
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key-serializer: org.apache.kafka.common.serialization.StringSerializer
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value-serializer: org.apache.kafka.common.serialization.StringSerializer
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consumer:
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group-id: gather-group
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key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
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value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
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listener:
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missing-topics-fatal: false
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mqtt:
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host: 47.109.141.125
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port: 1883
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username: admin
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password: admin970529
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auto-subscribe-topics: ecu/rpt/#,ecu/rsp/#
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timeout: 10 # 减少超时时间以便更快失败
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clean-session: true
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keep-alive: 60
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pool:
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max-total: 10 # 暂时减少连接数
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max-idle: 5
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min-idle: 2 # 暂时减少最小空闲数
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management:
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endpoints:
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web:
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exposure:
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include: health,info
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endpoint:
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health:
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show-details: always
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logging:
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file:
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name: /app/logs/${spring.application.name}.log
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pattern:
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dateformat: yyyy-MM-dd HH:mm:ss.SSS # 包含毫秒
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@ -1,12 +1,135 @@
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server:
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port: 10012
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servlet:
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context-path: /user
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port: 10013
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spring:
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application:
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name: ebike-user
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name: ebike-operations
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servlet:
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multipart:
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max-file-size: 30MB
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max-request-size: 100MB
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file-size-threshold: 0B
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cloud:
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nacos:
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server-addr: 192.168.2.226:8848 # nacos
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server-addr: 127.0.0.1:8848 # nacos
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username: nacos
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password: nacos
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kafka:
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bootstrap-servers: 192.168.1.11:9092
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producer:
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retries: 0
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key-serializer: org.apache.kafka.common.serialization.StringSerializer
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value-serializer: org.apache.kafka.common.serialization.StringSerializer
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consumer:
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group-id: operations-group-${random.uuid}
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key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
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value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
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listener:
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missing-topics-fatal: false
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sql:
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init:
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platform: postgis
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mode: never
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schema-locations: classpath:db/init.sql
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data-locations: classpath:db/data.sql
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jackson:
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serialization:
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write-dates-as-timestamps: false
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date-format: yyyy-MM-dd HH:mm:ss
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time-zone: GMT+8
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datasource:
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url: jdbc:postgresql://47.109.71.130:5432/ebike_operations?currentSchema=public&stringtype=unspecified
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username: root
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password: 970529
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driver-class-name: org.postgresql.Driver
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hikari:
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## 最小空闲连接数量
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minimum-idle: 2
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## 空闲连接存活最大时间，默认600000（10分钟）
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idle-timeout: 180000
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## 连接池最大连接数，默认是10
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maximum-pool-size: 5
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## 数据库连接超时时间,默认30秒，即30000
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connection-timeout: 30000
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connection-test-query: SELECT 1
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##此属性控制池中连接的最长生命周期，值0表示无限生命周期，默认1800000即30分钟
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max-lifetime: 1800000
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data:
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# redis配置
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redis:
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# Redis数据库索引（默认为0）
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database: 1
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# Redis服务器地址
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host: 192.168.1.11
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# Redis服务器连接端口
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port: 6379
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# Redis服务器连接密码（默认为空）
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password: 970529
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# 连接超时时间
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lettuce:
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pool:
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# 连接池最大连接数
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max-active: 200
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# 连接池最大阻塞等待时间（使用负值表示没有限制）
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max-wait: -1ms
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# 连接池中的最大空闲连接
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max-idle: 10
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# 连接池中的最小空闲连接
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min-idle: 0
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mybatis-flex:
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mapper-locations: classpath:mapper/*.xml
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type-handlers-package: com.cdzy.operations.handler
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############## Sa-Token 配置 (文档: https://sa-token.cc) ##############
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sa-token:
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# token 名称（同时也是 cookie 名称）
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token-name: Authorization
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# token 有效期（单位：秒） 默认30天，-1 代表永久有效
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timeout: 2592000
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# token 最低活跃频率（单位：秒），如果 token 超过此时间没有访问系统就会被冻结，默认-1 代表不限制，永不冻结
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active-timeout: -1
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# 是否允许同一账号多地同时登录 （为 true 时允许一起登录, 为 false 时新登录挤掉旧登录）
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is-concurrent: true
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# 在多人登录同一账号时，是否共用一个 token （为 true 时所有登录共用一个 token, 为 false 时每次登录新建一个 token）
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is-share: true
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# token 风格（默认可取值：uuid、simple-uuid、random-32、random-64、random-128、tik）
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token-style: random-32
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# 是否输出操作日志
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is-log: true
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management:
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endpoints:
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web:
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exposure:
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include: health,info
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endpoint:
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health:
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show-details: always
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emqx:
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api-url: http://47.109.71.130:18083/api/v5
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api-key: 684a5f936b784fe1
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api-secret: Jf3w3V9CbNsKcqTNkipVhfUGGurRPvCJknET2cs9CTKSI
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minio:
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endpoint: http://47.109.141.125:9000 # MinIO服务器地址
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access-key: ZIF4HF1LXH0RTB9MZ52O # 访问密钥
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secret-key: YuFoH+VJVzQbNLRqVMo39dM5pWXCEcMvrCrtgwB0 # 私有密钥
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bucket-name: operations-objects
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show-url: https://www.cdzhuojing.cn/file
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logging:
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file:
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name: logs/${spring.application.name}.log
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pattern:
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dateformat: yyyy-MM-dd HH:mm:ss.SSS # 包含毫秒
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geo-coding:
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api-url: https://restapi.amap.com/v3/geocode
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access-key: c9bc51e353b49acd42a560f37121929a
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wechat:
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qr-url: https://www.cdzhuojing.cn/ebike?bikeCode=
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influxdb:
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url: http://47.109.71.130:8086
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token: -bbo5zEJ7NIZyZk4uwOg1Y9XVS5pXHhyBWvH7Y0VNp0lMpGizWnFPiGLzgmZeDm_kNj1pnJRgjXFbs1FKszk7w==
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org: admin
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bucket: gps
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@ -2,9 +2,15 @@
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# 使用官方Eclipse Temurin镜像作为基础镜像（JDK17兼容Spring Boot 3.x）
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FROM eclipse-temurin:17-jdk-jammy
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# 设置工作目录
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WORKDIR /app
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# 创建日志目录
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RUN mkdir -p /app/logs && chmod 755 /app/logs
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VOLUME /opt/docker-images
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ADD ebike-staff-0.0.1-SNAPSHOT.jar /ebike-staff.jar
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ADD ebike-staff-0.0.1-SNAPSHOT.jar /app/ebike-staff.jar
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# 设置JVM参数（根据实际需求调整）
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@ -1,12 +1,109 @@
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server:
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port: 10012
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servlet:
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context-path: /user
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spring:
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application:
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name: ebike-user
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name: ebike-staff
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servlet:
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multipart:
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max-file-size: 30MB
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max-request-size: 100MB
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file-size-threshold: 0B
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cloud:
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nacos:
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server-addr: 192.168.2.226:8848 # nacos
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server-addr: 47.109.141.125:8848 # nacos
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username: nacos
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password: nacos
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password: 970529
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sql:
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init:
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platform: postgis
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mode: never
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schema-locations: classpath:db/init.sql
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data-locations: classpath:db/data.sql
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jackson:
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serialization:
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write-dates-as-timestamps: false
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date-format: yyyy-MM-dd HH:mm:ss
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time-zone: GMT+8
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datasource:
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url: jdbc:postgresql://47.109.141.125:5432/ebike_staff?currentSchema=public&stringtype=unspecified
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username: root
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password: Cdzj1234
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driver-class-name: org.postgresql.Driver
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hikari:
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## 最小空闲连接数量
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minimum-idle: 2
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## 空闲连接存活最大时间，默认600000（10分钟）
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idle-timeout: 180000
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## 连接池最大连接数，默认是10
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maximum-pool-size: 5
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## 数据库连接超时时间,默认30秒，即30000
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connection-timeout: 30000
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connection-test-query: SELECT 1
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##此属性控制池中连接的最长生命周期，值0表示无限生命周期，默认1800000即30分钟
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max-lifetime: 1800000
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data:
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# redis配置
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redis:
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# Redis数据库索引（默认为0）
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database: 1
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# Redis服务器地址
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host: 47.109.141.125
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# Redis服务器连接端口
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port: 6379
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# Redis服务器连接密码（默认为空）
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password: 970529
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# 连接超时时间
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lettuce:
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pool:
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# 连接池最大连接数
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max-active: 200
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# 连接池最大阻塞等待时间（使用负值表示没有限制）
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max-wait: -1ms
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# 连接池中的最大空闲连接
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max-idle: 10
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# 连接池中的最小空闲连接
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min-idle: 0
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mybatis-flex:
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mapper-locations: classpath:mapper/*.xml
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############## Sa-Token 配置 (文档: https://sa-token.cc) ##############
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sa-token:
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# token 名称（同时也是 cookie 名称）
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token-name: Authorization
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# token 有效期（单位：秒） 默认30天，-1 代表永久有效
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timeout: 2592000
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# token 最低活跃频率（单位：秒），如果 token 超过此时间没有访问系统就会被冻结，默认-1 代表不限制，永不冻结
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active-timeout: -1
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# 是否允许同一账号多地同时登录 （为 true 时允许一起登录, 为 false 时新登录挤掉旧登录）
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is-concurrent: true
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# 在多人登录同一账号时，是否共用一个 token （为 true 时所有登录共用一个 token, 为 false 时每次登录新建一个 token）
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is-share: true
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# token 风格（默认可取值：uuid、simple-uuid、random-32、random-64、random-128、tik）
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token-style: random-32
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# 是否输出操作日志
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is-log: true
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management:
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endpoints:
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web:
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exposure:
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include: health,info
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endpoint:
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health:
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show-details: always
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logging:
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file:
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name: /app/logs/${spring.application.name}.log
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pattern:
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dateformat: yyyy-MM-dd HH:mm:ss.SSS # 包含毫秒
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minio:
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endpoint: http://47.109.141.125:9000 # MinIO服务器地址
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access-key: ZIF4HF1LXH0RTB9MZ52O # 访问密钥
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secret-key: YuFoH+VJVzQbNLRqVMo39dM5pWXCEcMvrCrtgwB0 # 私有密钥
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bucket-name: static-objects
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show-url: https://www.cx.cdzhuojing.cn/file
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