陈子默
11e595b088
- 缩小模块扫描范围并显式注册各业务模块自动配置 - 增加可配置线程池、MQ 连接池与消费线程池，降低默认资源占用 - 将 RAG 与分析库中间件探活下沉到健康检查并增加短缓存 - 补齐文档向量库生命周期释放与 SSE 断连清理
101 lines
2.5 KiB
YAML
101 lines
2.5 KiB
YAML
spring:
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config:
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activate:
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on-profile: prod
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datasource:
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url: jdbc:mysql://127.0.0.1:23306/easyflow?useInformationSchema=true&characterEncoding=utf-8
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username: easyflow
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password: root
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hikari:
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maximum-pool-size: 20
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minimum-idle: 4
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connection-timeout: 5000
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validation-timeout: 3000
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idle-timeout: 600000
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max-lifetime: 1800000
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data:
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redis:
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host: 127.0.0.1
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port: 6379
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database: 0
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password: ${REDIS_PASSWORD:123456}
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easyflow:
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chat:
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cache:
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session-list-ttl: 300s
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session-summary-ttl: 600s
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session-tail-ttl: 1800s
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tail-size: 50
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sync:
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enabled: true
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batch-size: 500
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fixed-delay: 30000
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repair-lookback-days: 3
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retention-months: 3
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mq:
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enabled: true
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type: redis
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redis:
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database: 1
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stream-prefix: easyflow:mq
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chat-persist-shard-count: 4
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consumer-batch-size: 200
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consumer-block-timeout: 2000ms
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pending-claim-idle: 60000ms
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max-retry: 16
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consumer-executor:
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core-size: 4
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max-size: 12
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queue-capacity: 64
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keep-alive-seconds: 60
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pool:
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max-active: 12
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max-idle: 8
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min-idle: 1
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analytical-db:
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enabled: true
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url: ${EASYFLOW_ANALYTICAL_DB_URL:jdbc:clickhouse://127.0.0.1:8123/easyflow?jdbc_ignore_unsupported_values=true&socket_timeout=30000&compress=false&ssl=false}
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username: ${EASYFLOW_ANALYTICAL_DB_USERNAME:default}
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password: ${EASYFLOW_ANALYTICAL_DB_PASSWORD:}
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driver-class-name: com.clickhouse.jdbc.ClickHouseDriver
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pool:
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max-pool-size: 10
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min-idle: 1
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connection-timeout: 5000
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validation-timeout: 3000
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idle-timeout: 600000
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max-lifetime: 1800000
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flyway:
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analytical-db:
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locations: classpath:db/migration/analyticaldb
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table: flyway_schema_history_analytical_db
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baseline-on-migrate: false
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validate-on-migrate: true
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storage:
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type: xFileStorage
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ai:
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rag:
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health:
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cache-ttl: 5s
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document-import:
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parse-monitor:
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fixed-delay: 10000
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initial-delay: 10000
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batch-size: 10
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thread-pool:
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sse:
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core-size: 4
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max-size: 16
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queue-capacity: 2000
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keep-alive-seconds: 30
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allow-core-thread-timeout: true
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document-import:
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core-size: 2
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max-size: 4
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queue-capacity: 200
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keep-alive-seconds: 60
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allow-core-thread-timeout: true
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scheduler:
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pool-size: 4
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