feat(config): 添加 aima 和 cangan 环境配置文件
- 新增 application-aima.yml 配置文件，包含数据库、Redis、MinIO、gRPC等完整配置 - 新增 application-cangan.yml 配置文件，针对长安环境的特定配置 - 配置了 MySQL 数据源连接参数和 Druid 连接池设置 - 设置了 Redis 缓存服务连接参数和连接池配置 - 添加了 MinIO 对象存储服务配置 - 配置了 gRPC 客户端连接参数 - 设置了 AI 平台 API 接口地址和认证密钥 - 配置了媒体分析服务基础 URL 和 API 密钥 - 包含 Flowise TTS 服务相关接口配置
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148
cmvr-iot-admin/src/main/resources/application-aima.yml
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148
cmvr-iot-admin/src/main/resources/application-aima.yml
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server:
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# 服务器的HTTP端口，默认为8080
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port: 14080
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# 数据源配置
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spring:
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datasource:
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type: com.alibaba.druid.pool.DruidDataSource
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driverClassName: com.mysql.cj.jdbc.Driver
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druid:
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# 主库数据源
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master:
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url: jdbc:mysql://192.168.28.10:3306/${CMVR_DB_NAME:aima}?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8
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username: root
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password: cmvr2468
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# 从库数据源
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slave:
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# 从数据源开关/默认关闭
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enabled: false
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url:
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username:
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password:
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# 初始连接数
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initialSize: 5
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# 最小连接池数量
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minIdle: 10
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# 最大连接池数量
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maxActive: 20
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# 配置获取连接等待超时的时间
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maxWait: 60000
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# 配置连接超时时间
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connectTimeout: 30000
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# 配置网络超时时间
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socketTimeout: 60000
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# 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
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timeBetweenEvictionRunsMillis: 60000
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# 配置一个连接在池中最小生存的时间，单位是毫秒
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minEvictableIdleTimeMillis: 300000
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# 配置一个连接在池中最大生存的时间，单位是毫秒
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maxEvictableIdleTimeMillis: 900000
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# 配置检测连接是否有效
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validationQuery: SELECT 1 FROM DUAL
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testWhileIdle: true
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testOnBorrow: false
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testOnReturn: false
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webStatFilter:
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enabled: true
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statViewServlet:
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enabled: true
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# 设置白名单，不填则允许所有访问
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allow:
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url-pattern: /druid/*
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# 控制台管理用户名和密码
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login-username: cmvr-iot
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login-password: 123456
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filter:
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stat:
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enabled: true
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# 慢SQL记录
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log-slow-sql: true
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slow-sql-millis: 1000
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merge-sql: true
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wall:
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config:
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multi-statement-allow: true
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# 服务模块
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devtools:
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restart:
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# 热部署开关
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enabled: true
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# redis 配置
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data.redis:
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# 地址
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host: 192.168.28.10
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# 端口，默认为6379
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port: 6379
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# 数据库索引
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database: ${CMVR_REDIS_DATABASE:12}
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# 密码
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password: cmvr2468
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# 连接超时时间
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timeout: 10s
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lettuce:
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pool:
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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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# 连接池中的最大空闲连接
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max-idle: 8
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# 连接池的最大数据库连接数
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max-active: 8
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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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# Minio配置
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minio:
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url: http://192.168.28.10:9000
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accessKey: AKICMVR
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secretKey: wJalrXUtnFEMI
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bucketName: cmvr-iot
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# gRPC 客户端设置
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grpc:
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client:
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grpc-server: # 自定义服务名
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address: 'static://10.148.108.100:50051' # 调用 gRPC 的地址
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# address: 'static://10.148.108.100:50051' # 调用 gRPC 的地址
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enableKeepAlive: true
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keepAliveWithoutCalls: true
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negotiationType: plaintext # 明文传输
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api:
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app-id: d0epfibvo3em6c4iul40
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app-key: d0eqt1kqek3vg7g4ofi0
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work-flow-url: https://aiagentplatform.cmft.com/api/proxy/api/v1/run_app_workflow
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query-result-url: https://aiagentplatform.cmft.com/api/proxy/api/v1/query_run_app_process
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bge-vl: http://192.168.1.8:5000/search_similar
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generate_advanced_audio: http://192.168.0.102:9003/generate_advanced_audio
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# 智能体应用id和秘钥
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# ActionEnum 的枚举作为 key
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agents:
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INTENT_RECOGNITION: # 意图识别
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app-id: d5dn5ibp9adhq1b34lig
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app-key: d6j5bcellh49on5tasvg
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TI_TOUCH_COORDINATES: # 获取触控二维坐标
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app-id: d1ebtabnjkflk4gmhikg
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app-key: d5thge2cktmipk78h82g
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evaluation: http://192.168.0.8:8000/analyze
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current-page: http://192.168.0.222:5000/search_similar
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flowise:
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tts: 192.168.0.222:8080/tts/
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start: http://192.168.0.108:3000/api/v1/prediction/f99329e9-b33d-437d-90ed-69eaa8a05418
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abort: http://192.168.0.108:3000/api/v1/chatmessage/abort/f99329e9-b33d-437d-90ed-69eaa8a05418/
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query: http://192.168.0.108:3000/api/v1/executions/
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api-key: pg61JW6W_GXyqmqSoURJ4mlSRrCMRzGLBJli_w3BFkg
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media-analysis:
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base-url: ${MEDIA_ANALYSIS_BASE_URL:http://192.168.28.10:14080}
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api-key: ${MEDIA_ANALYSIS_API_KEY:cmvr-analysis-2026-c65ec181d5ab4a49aef34e6fd1be6704}
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connect-timeout-ms: 5000
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read-timeout-ms: 600000
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# Isolate the resource-center development instance from the currently running robot gateway.
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#cmvr:
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# resource:
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# robot-state:
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# enabled: false
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# quic:
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# enabled: false
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148
cmvr-iot-admin/src/main/resources/application-cangan.yml
Normal file
148
cmvr-iot-admin/src/main/resources/application-cangan.yml
Normal file
@ -0,0 +1,148 @@
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server:
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# 服务器的HTTP端口，默认为8080
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port: 14080
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# 数据源配置
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spring:
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datasource:
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type: com.alibaba.druid.pool.DruidDataSource
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driverClassName: com.mysql.cj.jdbc.Driver
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druid:
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# 主库数据源
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master:
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url: jdbc:mysql://192.168.28.10:3306/${CMVR_DB_NAME:changan}?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8
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username: root
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password: cmvr2468
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# 从库数据源
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slave:
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# 从数据源开关/默认关闭
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enabled: false
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url:
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username:
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password:
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# 初始连接数
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initialSize: 5
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# 最小连接池数量
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minIdle: 10
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# 最大连接池数量
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maxActive: 20
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# 配置获取连接等待超时的时间
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maxWait: 60000
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# 配置连接超时时间
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connectTimeout: 30000
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# 配置网络超时时间
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socketTimeout: 60000
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# 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
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timeBetweenEvictionRunsMillis: 60000
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# 配置一个连接在池中最小生存的时间，单位是毫秒
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minEvictableIdleTimeMillis: 300000
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# 配置一个连接在池中最大生存的时间，单位是毫秒
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maxEvictableIdleTimeMillis: 900000
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# 配置检测连接是否有效
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validationQuery: SELECT 1 FROM DUAL
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testWhileIdle: true
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testOnBorrow: false
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testOnReturn: false
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webStatFilter:
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enabled: true
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statViewServlet:
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enabled: true
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# 设置白名单，不填则允许所有访问
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allow:
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url-pattern: /druid/*
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# 控制台管理用户名和密码
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login-username: cmvr-iot
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login-password: 123456
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filter:
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stat:
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enabled: true
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# 慢SQL记录
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log-slow-sql: true
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slow-sql-millis: 1000
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merge-sql: true
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wall:
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config:
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multi-statement-allow: true
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# 服务模块
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devtools:
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restart:
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# 热部署开关
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enabled: true
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# redis 配置
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data.redis:
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# 地址
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host: 192.168.28.10
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# 端口，默认为6379
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port: 6379
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# 数据库索引
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database: ${CMVR_REDIS_DATABASE:11}
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# 密码
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password: cmvr2468
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# 连接超时时间
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timeout: 10s
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lettuce:
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pool:
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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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# 连接池中的最大空闲连接
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max-idle: 8
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# 连接池的最大数据库连接数
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max-active: 8
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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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# Minio配置
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minio:
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url: http://192.168.28.10:9000
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accessKey: AKICMVR
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secretKey: wJalrXUtnFEMI
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bucketName: cmvr-iot
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# gRPC 客户端设置
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grpc:
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client:
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grpc-server: # 自定义服务名
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address: 'static://10.148.108.100:50051' # 调用 gRPC 的地址
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# address: 'static://10.148.108.100:50051' # 调用 gRPC 的地址
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enableKeepAlive: true
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keepAliveWithoutCalls: true
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negotiationType: plaintext # 明文传输
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api:
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app-id: d0epfibvo3em6c4iul40
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app-key: d0eqt1kqek3vg7g4ofi0
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work-flow-url: https://aiagentplatform.cmft.com/api/proxy/api/v1/run_app_workflow
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query-result-url: https://aiagentplatform.cmft.com/api/proxy/api/v1/query_run_app_process
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bge-vl: http://192.168.1.8:5000/search_similar
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generate_advanced_audio: http://192.168.0.102:9003/generate_advanced_audio
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# 智能体应用id和秘钥
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# ActionEnum 的枚举作为 key
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agents:
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INTENT_RECOGNITION: # 意图识别
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app-id: d5dn5ibp9adhq1b34lig
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app-key: d6j5bcellh49on5tasvg
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TI_TOUCH_COORDINATES: # 获取触控二维坐标
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app-id: d1ebtabnjkflk4gmhikg
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app-key: d5thge2cktmipk78h82g
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evaluation: http://192.168.0.8:8000/analyze
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current-page: http://192.168.0.222:5000/search_similar
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flowise:
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tts: 192.168.0.222:8080/tts/
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start: http://192.168.0.108:3000/api/v1/prediction/f99329e9-b33d-437d-90ed-69eaa8a05418
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abort: http://192.168.0.108:3000/api/v1/chatmessage/abort/f99329e9-b33d-437d-90ed-69eaa8a05418/
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query: http://192.168.0.108:3000/api/v1/executions/
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api-key: pg61JW6W_GXyqmqSoURJ4mlSRrCMRzGLBJli_w3BFkg
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media-analysis:
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base-url: ${MEDIA_ANALYSIS_BASE_URL:http://192.168.28.10:14080}
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api-key: ${MEDIA_ANALYSIS_API_KEY:cmvr-analysis-2026-c65ec181d5ab4a49aef34e6fd1be6704}
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connect-timeout-ms: 5000
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read-timeout-ms: 600000
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# Isolate the resource-center development instance from the currently running robot gateway.
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cmvr:
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resource:
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robot-state:
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enabled: false
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quic:
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enabled: false
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