/
ChatController.java
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/
ChatController.java
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package com.alibaba.dbhub.server.web.api.controller.ai;
import java.io.IOException;
import java.time.Duration;
import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.stream.Collectors;
import com.alibaba.dbhub.server.domain.api.enums.AiSqlSourceEnum;
import com.alibaba.dbhub.server.domain.api.model.Config;
import com.alibaba.dbhub.server.domain.api.model.DataSource;
import com.alibaba.dbhub.server.domain.api.param.TableQueryParam;
import com.alibaba.dbhub.server.domain.api.service.ConfigService;
import com.alibaba.dbhub.server.domain.api.service.DataSourceService;
import com.alibaba.dbhub.server.domain.api.service.TableService;
import com.alibaba.dbhub.server.domain.support.enums.DbTypeEnum;
import com.alibaba.dbhub.server.domain.support.model.TableColumn;
import com.alibaba.dbhub.server.tools.base.excption.BusinessException;
import com.alibaba.dbhub.server.tools.base.excption.CommonErrorEnum;
import com.alibaba.dbhub.server.tools.base.wrapper.result.DataResult;
import com.alibaba.dbhub.server.tools.common.util.EasyEnumUtils;
import com.alibaba.dbhub.server.web.api.aspect.ConnectionInfoAspect;
import com.alibaba.dbhub.server.web.api.controller.ai.config.LocalCache;
import com.alibaba.dbhub.server.web.api.controller.ai.converter.ChatConverter;
import com.alibaba.dbhub.server.web.api.controller.ai.enums.GptVersionType;
import com.alibaba.dbhub.server.web.api.controller.ai.enums.PromptType;
import com.alibaba.dbhub.server.web.api.controller.ai.listener.OpenAIEventSourceListener;
import com.alibaba.dbhub.server.web.api.controller.ai.listener.RestAIEventSourceListener;
import com.alibaba.dbhub.server.web.api.controller.ai.request.ChatQueryRequest;
import com.alibaba.dbhub.server.web.api.controller.ai.request.ChatRequest;
import com.alibaba.dbhub.server.web.api.controller.ai.rest.client.RestAIClient;
import com.alibaba.dbhub.server.web.api.util.ApplicationContextUtil;
import com.alibaba.dbhub.server.web.api.util.OpenAIClient;
import cn.hutool.core.util.StrUtil;
import cn.hutool.json.JSONUtil;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.unfbx.chatgpt.entity.chat.Message;
import com.unfbx.chatgpt.entity.completions.Completion;
import com.unfbx.chatgpt.exception.BaseException;
import com.unfbx.chatgpt.exception.CommonError;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections4.CollectionUtils;
import org.apache.commons.lang3.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.web.bind.annotation.CrossOrigin;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestHeader;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
/**
* 描述:
*
* @author https:www.unfbx.com
* @date 2023-03-01
*/
@RestController
@ConnectionInfoAspect
@RequestMapping("/api/ai")
@Slf4j
public class ChatController {
@Autowired
private TableService tableService;
@Autowired
private ChatConverter chatConverter;
@Autowired
private DataSourceService dataSourceService;
@Value("${chatgpt.context.length}")
private Integer contextLength;
@Value("${chatgpt.version}")
private String gptVersion;
/**
* chat的超时时间
*/
private static final Long CHAT_TIMEOUT = Duration.ofMinutes(10).toMillis();
/**
* 提示语最大token数
*/
private Integer MAX_PROMPT_LENGTH = 3850;
/**
* token转换字符串长度
*/
private Integer TOKEN_CONVERT_CHAR_LENGTH = 4;
/**
* 返回token大小
*/
private Integer RETURN_TOKEN_LENGTH = 150;
/**
* 自定义模型流式输出接口DEMO
* <p>
* Note:使用自己本地的流式输出的自定义AI,接口输入和输出需与该样例保持一致
* </p>
*
* @param queryRequest
* @return
* @throws IOException
*/
@PostMapping("/custom/stream/chat")
@CrossOrigin
public SseEmitter customChat(@RequestBody ChatRequest queryRequest) throws IOException {
SseEmitter emitter = new SseEmitter(CHAT_TIMEOUT);
// 设置 SSEEmitter 的事件处理程序
emitter.onCompletion(() -> log.info(LocalDateTime.now() + ", on completion"));
emitter.onTimeout(() -> {
log.info(LocalDateTime.now() + ", uid# on timeout");
emitter.complete();
});
// 启动一个新的线程来生成 SSE 事件
new Thread(() -> {
try {
for (int i = 0; i < 10; i++) {
emitter.send(SseEmitter.event().name("message").data("Event " + i));
Thread.sleep(1000);
}
} catch (Exception e) {
emitter.completeWithError(e);
} finally {
emitter.complete();
}
}).start();
return emitter;
}
/**
* 自定义模型非流式输出接口DEMO
* <p>
* Note:使用自己本地的飞流式输出自定义AI,接口输入和输出需与该样例保持一致
* </p>
*
* @param queryRequest
* @return
* @throws IOException
*/
@PostMapping("/custom/non/stream/chat")
@CrossOrigin
public String customNonStreamChat(@RequestBody ChatRequest queryRequest) throws IOException {
String data = "自定义AI样例接口连接成功!!!!";
return data;
}
/**
* 问答对话模型
*
* @param msg
* @param headers
* @return
* @throws IOException
*/
@GetMapping("/chat1")
@CrossOrigin
public SseEmitter chat(@RequestParam("message") String msg, @RequestHeader Map<String, String> headers)
throws IOException {
//默认30秒超时,设置为0L则永不超时
SseEmitter sseEmitter = new SseEmitter(CHAT_TIMEOUT);
String uid = headers.get("uid");
if (StrUtil.isBlank(uid)) {
throw new BaseException(CommonError.SYS_ERROR);
}
if (useOpenAI()) {
return chatWithOpenAi(msg, sseEmitter, uid);
}
return chatWithRestAi(msg, sseEmitter);
}
/**
* SQL转换模型
*
* @param queryRequest
* @param headers
* @return
* @throws IOException
*/
@GetMapping("/chat")
@CrossOrigin
public SseEmitter completions(ChatQueryRequest queryRequest, @RequestHeader Map<String, String> headers)
throws IOException {
//默认30秒超时,设置为0L则永不超时
SseEmitter sseEmitter = new SseEmitter(CHAT_TIMEOUT);
String uid = headers.get("uid");
if (StrUtil.isBlank(uid)) {
throw new BusinessException(CommonErrorEnum.COMMON_SYSTEM_ERROR);
}
//提示消息不得为空
if (StringUtils.isBlank(queryRequest.getMessage())) {
throw new BusinessException(CommonErrorEnum.PARAM_ERROR);
}
if (useOpenAI()) {
return chatWithOpenAiSql(queryRequest, sseEmitter, uid);
}
return chatWithRestAi(queryRequest.getMessage(), sseEmitter);
}
/**
* 是否使用OPENAI
*
* @return
*/
private Boolean useOpenAI() {
ConfigService configService = ApplicationContextUtil.getBean(ConfigService.class);
Config config = configService.find(RestAIClient.AI_SQL_SOURCE).getData();
if (Objects.nonNull(config) && AiSqlSourceEnum.RESTAI.getCode().equals(config.getContent())) {
return false;
}
return true;
}
/**
* 使用自定义AI接口进行聊天
*
* @param prompt
* @param sseEmitter
* @return
*/
private SseEmitter chatWithRestAi(String prompt, SseEmitter sseEmitter) {
RestAIEventSourceListener eventSourceListener = new RestAIEventSourceListener(sseEmitter);
RestAIClient.getInstance().restCompletions(prompt, eventSourceListener);
return sseEmitter;
}
/**
* 使用OPENAI SQL接口
*
* @param queryRequest
* @param sseEmitter
* @param uid
* @return
* @throws IOException
*/
private SseEmitter chatWithOpenAiSql(ChatQueryRequest queryRequest, SseEmitter sseEmitter, String uid)
throws IOException {
String prompt = buildPrompt(queryRequest);
if (prompt.length() / TOKEN_CONVERT_CHAR_LENGTH > MAX_PROMPT_LENGTH) {
log.error("提示语超出最大长度:{},输入长度:{}, 请重新输入", MAX_PROMPT_LENGTH,
prompt.length() / TOKEN_CONVERT_CHAR_LENGTH);
throw new BusinessException(CommonErrorEnum.PARAM_ERROR);
}
GptVersionType modelType = EasyEnumUtils.getEnum(GptVersionType.class, gptVersion);
switch (modelType) {
case GPT3:
return chatGpt3(prompt, sseEmitter, uid);
case GPT35:
List<Message> messages = new ArrayList<>();
prompt = prompt.replaceAll("#", "");
log.info(prompt);
Message currentMessage = Message.builder().content(prompt).role(Message.Role.USER).build();
messages.add(currentMessage);
return chatGpt35(messages, sseEmitter, uid);
default:
break;
}
return chatGpt3(prompt, sseEmitter, uid);
}
/**
* 使用OPENAI聊天相关接口
*
* @param msg
* @param sseEmitter
* @param uid
* @return
* @throws IOException
*/
private SseEmitter chatWithOpenAi(String msg, SseEmitter sseEmitter, String uid) throws IOException {
String messageContext = (String)LocalCache.CACHE.get(uid);
List<Message> messages = new ArrayList<>();
if (StrUtil.isNotBlank(messageContext)) {
messages = JSONUtil.toList(messageContext, Message.class);
if (messages.size() >= contextLength) {
messages = messages.subList(1, contextLength);
}
Message currentMessage = Message.builder().content(msg).role(Message.Role.USER).build();
messages.add(currentMessage);
} else {
Message currentMessage = Message.builder().content(msg).role(Message.Role.USER).build();
messages.add(currentMessage);
}
return chatGpt35(messages, sseEmitter, uid);
}
/**
* 使用GPT3.5模型
*
* @param messages
* @param sseEmitter
* @param uid
* @return
*/
private SseEmitter chatGpt35(List<Message> messages, SseEmitter sseEmitter, String uid) throws IOException {
sseEmitter.send(SseEmitter.event().id(uid).name("连接成功!!!!").data(LocalDateTime.now()).reconnectTime(3000));
sseEmitter.onCompletion(() -> {
log.info(LocalDateTime.now() + ", uid#" + uid + ", on completion");
});
sseEmitter.onTimeout(
() -> log.info(LocalDateTime.now() + ", uid#" + uid + ", on timeout#" + sseEmitter.getTimeout()));
sseEmitter.onError(
throwable -> {
try {
log.info(LocalDateTime.now() + ", uid#" + "765431" + ", on error#" + throwable.toString());
sseEmitter.send(SseEmitter.event().id("765431").name("发生异常!").data(throwable.getMessage())
.reconnectTime(3000));
} catch (IOException e) {
e.printStackTrace();
}
}
);
OpenAIEventSourceListener openAIEventSourceListener = new OpenAIEventSourceListener(sseEmitter);
OpenAIClient.getInstance().streamChatCompletion(messages, openAIEventSourceListener);
LocalCache.CACHE.put(uid, JSONUtil.toJsonStr(messages), LocalCache.TIMEOUT);
return sseEmitter;
}
/**
* 使用GPT3.0模型
*
* @param prompt
* @param sseEmitter
* @param uid
* @return
*/
private SseEmitter chatGpt3(String prompt, SseEmitter sseEmitter, String uid) throws IOException {
sseEmitter.send(SseEmitter.event().id(uid).name("chatGpt3连接成功!!!!").data(LocalDateTime.now())
.reconnectTime(3000));
sseEmitter.onCompletion(() -> {
log.info(LocalDateTime.now() + ", uid#" + uid + ", on completion");
});
sseEmitter.onTimeout(
() -> log.info(LocalDateTime.now() + ", uid#" + uid + ", chatGpt3 on timeout#" + sseEmitter.getTimeout()));
sseEmitter.onError(
throwable -> {
try {
log.info(LocalDateTime.now() + ", uid#" + "765431" + ", chatGpt3 on error#" + throwable.toString());
sseEmitter.send(SseEmitter.event().id("765431").name("chatGpt3 发生异常!")
.data(throwable.getMessage())
.reconnectTime(3000));
} catch (IOException e) {
e.printStackTrace();
}
}
);
// 获取返回结果
OpenAIEventSourceListener openAIEventSourceListener = new OpenAIEventSourceListener(sseEmitter);
Completion completion = Completion.builder().maxTokens(RETURN_TOKEN_LENGTH).stream(true).stop(
Lists.newArrayList("#", ";")).user(uid).prompt(prompt).build();
OpenAIClient.getInstance().streamCompletions(completion, openAIEventSourceListener);
return sseEmitter;
}
/**
* 构建schema参数
*
* @param tableQueryParam
* @param tableNames
* @return
*/
private Map<String, List<TableColumn>> buildTableColumn(TableQueryParam tableQueryParam,
List<String> tableNames) {
if (CollectionUtils.isEmpty(tableNames)) {
return Maps.newHashMap();
}
List<TableColumn> tableColumns = tableService.queryColumns(tableQueryParam);
if (CollectionUtils.isEmpty(tableColumns)) {
return Maps.newHashMap();
}
return tableColumns.stream().filter(tableColumn -> tableNames.contains(tableColumn.getTableName())).collect(
Collectors.groupingBy(TableColumn::getTableName, Collectors.toList()));
}
/**
* 构建prompt
*
* @param queryRequest
* @return
*/
private String buildPrompt(ChatQueryRequest queryRequest) {
// 查询schema信息
DataResult<DataSource> dataResult = dataSourceService.queryById(queryRequest.getDataSourceId());
String dataSourceType = DbTypeEnum.MYSQL.getCode();
if (StringUtils.isNotBlank(dataSourceType)) {
dataSourceType = dataResult.getData().getType();
}
TableQueryParam queryParam = chatConverter.chat2tableQuery(queryRequest);
Map<String, List<TableColumn>> tableColumns = buildTableColumn(queryParam, queryRequest.getTableNames());
List<String> tableSchemas = tableColumns.entrySet().stream().map(
entry -> String.format("%s(%s)", entry.getKey(),
entry.getValue().stream().map(TableColumn::getName).collect(
Collectors.joining(", ")))).collect(Collectors.toList());
String properties = String.join("\n#", tableSchemas);
String prompt = queryRequest.getMessage();
String promptType = StringUtils.isBlank(queryRequest.getPromptType()) ? PromptType.NL_2_SQL.getCode()
: queryRequest.getPromptType();
PromptType pType = EasyEnumUtils.getEnum(PromptType.class, promptType);
String ext = StringUtils.isNotBlank(queryRequest.getExt()) ? queryRequest.getExt() : "";
String schemaProperty = CollectionUtils.isNotEmpty(tableSchemas) ? String.format(
"### 请根据以下table properties和SQL input%s. %s\n#\n### %s SQL tables, with their properties:\n#\n# "
+ "%s\n#\n#\n### SQL input: %s", pType.getDescription(), ext, dataSourceType,
properties, prompt) : String.format("### 请根据以下SQL input%s. %s\n#\n### SQL input: %s",
pType.getDescription(), ext, prompt);
switch (pType) {
case SQL_2_SQL:
schemaProperty = StringUtils.isNotBlank(queryRequest.getDestSqlType()) ? String.format(
"%s\n#\n### 目标SQL类型: %s", schemaProperty, queryRequest.getDestSqlType()) : String.format(
"%s\n#\n### 目标SQL类型: %s", schemaProperty, dataSourceType);
default:
break;
}
return schemaProperty;
}
}