feat(chat): 增加数据库SQL访问接口
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@@ -1,10 +1,13 @@
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package com.lanyuanxiaoyao.service.ai.chat;
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import com.ulisesbocchio.jasyptspringboot.annotation.EnableEncryptableProperties;
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import org.springframework.beans.BeansException;
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import org.springframework.boot.SpringApplication;
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import org.springframework.boot.autoconfigure.SpringBootApplication;
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import org.springframework.boot.context.properties.EnableConfigurationProperties;
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import org.springframework.cloud.client.discovery.EnableDiscoveryClient;
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import org.springframework.context.ApplicationContext;
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import org.springframework.context.ApplicationContextAware;
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import org.springframework.retry.annotation.EnableRetry;
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/**
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@@ -16,8 +19,19 @@ import org.springframework.retry.annotation.EnableRetry;
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@EnableConfigurationProperties
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@EnableEncryptableProperties
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@EnableRetry
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public class AiChatApplication {
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public class AiChatApplication implements ApplicationContextAware {
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private static ApplicationContext context;
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public static void main(String[] args) {
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SpringApplication.run(AiChatApplication.class, args);
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}
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public static <T> T getBean(Class<T> clazz) {
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return context.getBean(clazz);
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}
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@Override
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public void setApplicationContext(ApplicationContext context) throws BeansException {
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AiChatApplication.context = context;
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}
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}
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@@ -3,6 +3,7 @@ package com.lanyuanxiaoyao.service.ai.chat.controller;
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import cn.hutool.core.util.ObjectUtil;
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import cn.hutool.core.util.StrUtil;
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import com.lanyuanxiaoyao.service.ai.chat.entity.MessageVO;
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import com.lanyuanxiaoyao.service.ai.chat.tools.TableTool;
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import com.lanyuanxiaoyao.service.forest.service.KnowledgeService;
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import java.io.IOException;
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import java.time.LocalDateTime;
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@@ -52,11 +53,27 @@ public class ChatController {
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private ChatClient.ChatClientRequestSpec buildRequest(Long knowledgeId, ImmutableList<MessageVO> messages) {
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var builder = StrUtil.builder()
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.append(StrUtil.format("""
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你是一名专业的AI运维助手,负责“Hudi数据同步服务平台”的运维工作;
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你是一名专业的AI运维助手,负责“Hudi数据同步服务”的运维工作;
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你将会友好地帮助用户解答关于该平台运维工作的问题,你会尽可能通过各种方式获取知识和数据来解答;
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对于无法通过已有知识回答的问题,你会提示用户你无法解答该问题,而不是虚构不存在的数据或答案;
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对于与该平台无关的问题,你会委婉地拒绝用户,并提示无法回答;
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你将始终在中文语境下进行对话。
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Hudi数据同步服务将TeleDB、TelePG数据库中的数据同步到Hudi表,并通过Hudi-Hive插件,将Hudi表包装为Hive表提供给外系统查询使用;
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平台分为数据同步任务、数据压缩任务和服务管理平台三部分;以下是关于该平台的关键概念:
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同步任务:基于Flink开发,运行在Hadoop Yarn集群上,该任务常驻运行在集群上,每个任务负责一张或多张表的数据同步,同步任务从指定的Pulsar队列中实时读取数据,经过数据转换和业务处理后,写入Hudi表;
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压缩任务:基于Flink开发,运行在Hadoop Yarn集群上,该任务根据指定的调度策略周期性定时启动,每个任务将一张指定的Hudi MOR表中的log数据压缩为parquet数据,当压缩完成时,上一次压缩到当前压缩之间被写入的数据才能被外部系统查询;
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管理平台:使用Spring Cloud框架开发的微服务集群,用于管理同步任务和压缩任务的运行、停止和状态监控等信息;
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TeleDB:中国电信自研的分布式MySQL集群组件,可以实现一张MySQL表在物理上拆分为多张MySQL表(这种类似分片的物理表被称作“set”)存储在多个MySQL服务中,实现可扩容、可容灾等特性;
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TelePG:中国电信自研的分布式PostgreSQL集群组件,其功能类似TeleDB;
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源端(上游):类似TeleDB、TelePG这些提供原始数据的数据库;
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目标端(下游):数据同步到Hudi表后提供给外部系统查询用的Hive表;
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Pulsar:TeleDB、TelePG产生的增量日志(类似MySQL的binlog)会写入Pulsar队列,同步任务再从Pulsar队列中读取增量日志进行处理;
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逻辑表:Hudi数据同步服务按逻辑表为概念配置同步任务,一张逻辑表对应一张TeleDB或TelePG上的数据表;逻辑表中包含广东所有地市的业务数据,数据量大的表通常会按地市进行分片(分区);
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Hudi表:逻辑表经过同步任务同步后写入Hudi表,根据逻辑表的数据量,数据量大的会根据地市分为A、B表,B表也被称为大表,通常包含广深东佛(广州、深圳、东莞、佛山)四个大区的数据,A表包含广东除了广深东佛外的其他地市,特大表,如acct_item,会按一个地市对应一个Hudi表;Hudi表统一配置为MOR表,使用Bucket Index索引;
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Hive表:即作为目标端的Hudi表,通常和逻辑表一一对应,通过使用Hive外表将经过拆分的Hudi A、B表重新合成为一个Hive表;
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Flink 任务:通常指同步任务,根据Hudi表数据量,数据量大的
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当前时间为:{}
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""", LocalDateTime.now().format(formatter)));
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@@ -65,7 +82,7 @@ public class ChatController {
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var documents = knowledgeService.query(knowledgeId, vo.getContent(), 10, 0.5);
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if (ObjectUtil.isNotEmpty(documents)) {
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builder.append(StrUtil.format("""
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以下是与用户问题有关的外部知识,优先利用该知识回答用户的提问:
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以下是与用户问题有关的外部知识,优先结合该知识回答用户的提问:
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{}
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""", documents.makeString("\n")));
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@@ -73,6 +90,7 @@ public class ChatController {
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}
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return chatClient.prompt()
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.system(builder.toString())
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.tools(new TableTool())
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.messages(
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messages
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.collect(message -> StrUtil.equals(message.getRole(), ROLE_ASSISTANT)
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@@ -0,0 +1,35 @@
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package com.lanyuanxiaoyao.service.ai.chat.tools;
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import com.lanyuanxiaoyao.service.ai.chat.AiChatApplication;
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import com.lanyuanxiaoyao.service.forest.service.InfoService;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.ai.tool.annotation.Tool;
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import org.springframework.ai.tool.annotation.ToolParam;
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/**
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* @author lanyuanxiaoyao
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* @version 20250605
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*/
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public class TableTool {
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private static final Logger logger = LoggerFactory.getLogger(TableTool.class);
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@Tool(description = """
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执行SQL语句,获取查询结果;结果可能是一行或多行,行内以逗号分隔字段。
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""", returnDirect = true)
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public String executeJdbc(
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@ToolParam(description = """
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完整的MySQL查询语句,禁止使用除select外的任何语句。
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""") String sql
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) {
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InfoService infoService = AiChatApplication.getBean(InfoService.class);
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String result = infoService.jdbc(sql)
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.collect(map -> map.valuesView().makeString(","))
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.makeString("\n");
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logger.info("SQL result: \n{}", result);
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return result;
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}
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private void queryTableMeta() {
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}
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}
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@@ -8,6 +8,7 @@ import com.lanyuanxiaoyao.service.configuration.entity.PageResponse;
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import com.lanyuanxiaoyao.service.configuration.entity.info.*;
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import java.util.Map;
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import org.eclipse.collections.api.list.ImmutableList;
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import org.eclipse.collections.api.map.ImmutableMap;
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/**
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* Info 接口
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@@ -193,4 +194,7 @@ public interface InfoService {
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@Get("/info/clean_table_version")
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Integer cleanTableVersion();
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@Post(value = "/jdbc", contentType = "plain/text")
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ImmutableList<ImmutableMap<String, String>> jdbc(@Body String sql);
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}
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@@ -0,0 +1,28 @@
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package com.lanyuanxiaoyao.service.info.controller;
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import com.lanyuanxiaoyao.service.info.service.JdbcService;
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import org.eclipse.collections.api.list.ImmutableList;
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import org.eclipse.collections.api.map.ImmutableMap;
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import org.springframework.web.bind.annotation.PostMapping;
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import org.springframework.web.bind.annotation.RequestBody;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RestController;
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/**
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* @author lanyuanxiaoyao
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* @version 20250605
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*/
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@RestController
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@RequestMapping("/jdbc")
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public class JdbcController {
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private final JdbcService jdbcService;
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public JdbcController(JdbcService jdbcService) {
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this.jdbcService = jdbcService;
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}
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@PostMapping("")
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public ImmutableList<ImmutableMap<String, String>> jdbc(@RequestBody String sql) {
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return jdbcService.jdbc(sql);
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}
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}
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@@ -0,0 +1,43 @@
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package com.lanyuanxiaoyao.service.info.service;
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import java.util.List;
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import java.util.Map;
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import org.eclipse.collections.api.factory.Lists;
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import org.eclipse.collections.api.factory.Maps;
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import org.eclipse.collections.api.list.ImmutableList;
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import org.eclipse.collections.api.map.ImmutableMap;
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import org.eclipse.collections.api.map.MutableMap;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.jdbc.core.JdbcTemplate;
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import org.springframework.stereotype.Service;
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/**
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* 执行JDBC
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*
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* @author lanyuanxiaoyao
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* @version 20250605
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*/
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@Service
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public class JdbcService {
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private static final Logger logger = LoggerFactory.getLogger(JdbcService.class);
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private final JdbcTemplate jdbcTemplate;
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public JdbcService(JdbcTemplate jdbcTemplate) {
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this.jdbcTemplate = jdbcTemplate;
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}
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public ImmutableList<ImmutableMap<String, String>> jdbc(String sql) {
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logger.info("Executing SQL: {}", sql);
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List<Map<String, Object>> lines = jdbcTemplate.queryForList(sql);
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return Lists.immutable.ofAll(lines)
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.collect(map -> {
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MutableMap<String, String> item = Maps.mutable.empty();
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for (Map.Entry<String, Object> entry : map.entrySet()) {
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item.put(entry.getKey(), String.valueOf(entry.getValue()));
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}
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return item.toImmutable();
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});
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}
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}
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