家居大模型联调,微信小程序联调
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@@ -18,6 +18,7 @@ import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.beans.factory.annotation.Qualifier;
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import org.springframework.beans.factory.annotation.Qualifier;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Configuration;
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import org.springframework.context.annotation.Configuration;
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import org.springframework.context.annotation.Lazy;
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import org.springframework.context.annotation.Primary;
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import org.springframework.context.annotation.Primary;
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import java.io.BufferedReader;
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import java.io.BufferedReader;
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@@ -39,9 +40,11 @@ public class EnbedingModelConfig {
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@Autowired
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@Autowired
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@Lazy
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private EmbeddingModel embeddingModel;
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private EmbeddingModel embeddingModel;
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@Autowired
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@Autowired
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@Lazy
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RedisEmbeddingStore redisEmbeddingStore;
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RedisEmbeddingStore redisEmbeddingStore;
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/**
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/**
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* 创建向量数据库操作对象
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* 创建向量数据库操作对象
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@@ -107,11 +110,13 @@ public class EnbedingModelConfig {
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}
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}
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@Bean
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@Bean
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@Lazy
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public ContentRetriever contentRetriever(@Qualifier("myEmbeddingStoreInMemory")EmbeddingStore store){
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public ContentRetriever contentRetriever(@Qualifier("myEmbeddingStoreInMemory")EmbeddingStore store){
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// 使用 @Lazy 注解延迟初始化,避免启动时连接阿里云
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// embeddingModel 也是 @Lazy 的,只有在实际使用 RAG 功能时才会初始化并连接
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EmbeddingStoreContentRetriever contentRetriever = EmbeddingStoreContentRetriever.builder()
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EmbeddingStoreContentRetriever contentRetriever = EmbeddingStoreContentRetriever.builder()
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// .embeddingStore(redisEmbeddingStore)
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.embeddingStore(store)
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.embeddingStore( redisEmbeddingStore)
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.embeddingModel(embeddingModel) // 保持 @Lazy,延迟初始化
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.embeddingModel(embeddingModel)
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.minScore(0.5)//相似度
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.minScore(0.5)//相似度
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.maxResults(3) //最多返回3条
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.maxResults(3) //最多返回3条
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.build();
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.build();
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@@ -25,6 +25,8 @@ langchain4j:
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log-requests: true
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log-requests: true
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log-responses: true
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log-responses: true
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max-segments-per-batch: 10
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max-segments-per-batch: 10
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# 禁用启动时的连接测试
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enabled: true
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# redis 向量数据库
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# redis 向量数据库
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community:
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community:
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redis:
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redis:
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@@ -34,6 +36,8 @@ langchain4j:
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logging:
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logging:
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level:
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level:
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dev.langchain4j: DEBUG
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dev.langchain4j: DEBUG
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dev.langchain4j.http.client.log: ERROR
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dev.langchain4j.internal.RetryUtils: ERROR
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# MyBatis Plus SQL日志
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# MyBatis Plus SQL日志
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com.baomidou.mybatisplus: DEBUG
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com.baomidou.mybatisplus: DEBUG
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# MyBatis SQL日志
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# MyBatis SQL日志
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@@ -58,16 +62,32 @@ spring:
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datasource:
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datasource:
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driver-class-name: com.mysql.cj.jdbc.Driver
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driver-class-name: com.mysql.cj.jdbc.Driver
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# url: jdbc:mysql://124.221.59.58:3309/ai_smart_badge?useUnicode=true&characterEncoding=utf8
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# url: jdbc:mysql://124.221.59.58:3309/ai_smart_badge?useUnicode=true&characterEncoding=utf8
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url: jdbc:mysql://101.35.52.237:13307/ai_smart_badge?useUnicode=true&characterEncoding=utf8
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url: jdbc:mysql://101.35.52.237:13307/ai_smart_badge?useUnicode=true&characterEncoding=utf8&useSSL=false&serverTimezone=Asia/Shanghai&autoReconnect=true&failOverReadOnly=false&maxReconnects=3&initialTimeout=2&connectTimeout=30000&socketTimeout=60000
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username: root
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username: root
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password: cstcom.123!
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password: cstcom.123!
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# password: ChangAndb.123!
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# password: ChangAndb.123!
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hikari:
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hikari:
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# 连接池大小配置
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maximumPoolSize: 10
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maximumPoolSize: 10
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minimumIdle: 5
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minimumIdle: 5
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idleTimeout: 300000
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# 连接超时配置(毫秒)
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maxLifetime: 600000
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connectionTimeout: 30000 # 获取连接的超时时间,30秒
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validationTimeout: 5000 # 连接验证的超时时间,5秒
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# 连接生命周期配置(毫秒)
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idleTimeout: 300000 # 空闲连接超时时间,5分钟
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maxLifetime: 1800000 # 连接最大生存时间,30分钟(建议小于MySQL wait_timeout)
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# 连接验证配置
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connectionTestQuery: "SELECT 1"
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connectionTestQuery: "SELECT 1"
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# 连接泄漏检测(毫秒)- 如果连接超过此时间未归还,会记录警告
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leakDetectionThreshold: 60000 # 60秒
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# 保持连接活跃(毫秒)- 定期发送keepalive查询保持连接活跃
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keepaliveTime: 300000 # 5分钟
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# 连接池名称(便于监控和调试)
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poolName: HikariPool-Main
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# 连接初始化配置
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initializationFailTimeout: 1 # 初始化失败时立即失败,不等待
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# 是否允许连接池自动提交
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autoCommit: true
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output:
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output:
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ansi:
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ansi:
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enabled: always
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enabled: always
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