From 0be80a07e38f08dd40e20175d788a3bfad8e68ef Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Mon, 11 Aug 2025 11:41:24 +0800
Subject: [PATCH] feat(ai): 增加 AI 陪练报告数据解析功能 - 新增 Report、RadarData 和 Evaluation 类用于解析报告数据 - 在 AiService 接口中添加 extractReportData 方法 - 在 AiServiceImpl 中实现报告数据的提取和解析 - 更新 ApiMemberTalkVo，增加 report 字段用于存储解析后的报告数据 - 修改前端相关的回答格式和类型
---
src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java | 159 ++++++++++++++++++++++++++++++++++++++++------------
1 files changed, 122 insertions(+), 37 deletions(-)
diff --git a/src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java b/src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java
index 3ab9f2c..fca39c3 100644
--- a/src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java
+++ b/src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java
@@ -24,6 +24,7 @@
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;
+import java.util.function.Consumer;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.stream.Collectors;
@@ -37,8 +38,25 @@
public class AiServiceImpl implements AiService {
private static final String CODE_SUCCESS = "200";
+ private static final String CODE_GOING_ON = "199";
private static final String CODE_NOT_FOUND = "201";
private static final String CODE_ERROR = "500";
+
+ private static final String SCHEMA_JSON = "{\n" +
+ " \"radar_data\": {\n" +
+ " \"problem_understanding\": \"object\",\n" +
+ " \"fluency\": \"object\",\n" +
+ " \"principle_adherence\": \"object\",\n" +
+ " \"logicality\": \"object\",\n" +
+ " \"knowledge_mastery\": \"object\"\n" +
+ " },\n" +
+ " \"evaluation\": {\n" +
+ " \"highlight\": \"object\",\n" +
+ " \"suggestion\": \"object\",\n" +
+ " \"reference_answer\": \"object\",\n" +
+ " \"key_knowledge\": \"object\"\n" +
+ " }\n" +
+ " }";
private final AiProductRoleService aiProductRoleService;
private final ObjectMapper objectMapper;
@@ -56,8 +74,13 @@
@PostConstruct
public void init() {
- ConnectionPool connectionPool = new ConnectionPool(10, 30, TimeUnit.SECONDS);
+ // 增加连接池大小和存活时间
+ ConnectionPool connectionPool = new ConnectionPool(32, 60, TimeUnit.SECONDS);
Dispatcher dispatcher = new Dispatcher();
+ // 增加并发请求数量
+ dispatcher.setMaxRequests(128);
+ dispatcher.setMaxRequestsPerHost(32);
+
this.service = ArkService.builder()
.dispatcher(dispatcher)
.connectionPool(connectionPool)
@@ -100,7 +123,7 @@
aiRequest.setLinkId(linkId);
aiRequest.setContent(content);
- return question(aiRequest);
+ return this.question(aiRequest);
}
@Override
@@ -119,25 +142,8 @@
messages.add(systemMessage);
messages.add(userMessage);
- // 生成 JSON Schema
- String schemaJson = "{\n" +
- " \"radar_data\": {\n" +
- " \"problem_understanding\": \"object\",\n" +
- " \"fluency\": \"object\",\n" +
- " \"principle_adherence\": \"object\",\n" +
- " \"logicality\": \"object\",\n" +
- " \"knowledge_mastery\": \"object\"\n" +
- " },\n" +
- " \"evaluation\": {\n" +
- " \"highlight\": \"object\",\n" +
- " \"suggestion\": \"object\",\n" +
- " \"reference_answer\": \"object\",\n" +
- " \"key_knowledge\": \"object\"\n" +
- " }\n" +
- " }";
try {
- JsonNode schemaNode = objectMapper.readTree(schemaJson);
- // 配置响应格式
+ JsonNode schemaNode = objectMapper.readTree(SCHEMA_JSON);
ChatCompletionRequest.ChatCompletionRequestResponseFormat responseFormat = new ChatCompletionRequest.ChatCompletionRequestResponseFormat(
"json_schema",
new ResponseFormatJSONSchemaJSONSchemaParam(
@@ -152,11 +158,12 @@
.messages(messages)
.stream(false)
.responseFormat(responseFormat)
- .temperature(1.0)
- .topP(0.7)
- .maxTokens(4096)
+ .temperature(0.7) // 降低温度参数，提高确定性，可能提升速度
+ .topP(0.9) // 调整topP参数
+ .maxTokens(2048) // 减少最大token数
.frequencyPenalty(0.0)
.build();
+
List<ChatCompletionChoice> choices = service.createChatCompletion(chatCompletionRequest).getChoices();
String result = choices.stream()
.map(choice -> choice.getMessage().getContent())
@@ -170,10 +177,97 @@
log.error("初始化AI服务失败，JSON格式化输出初始化失败", e);
return buildErrorResponse(CODE_ERROR, "AI服务调用失败");
} catch (Exception e) {
- log.error("调用AI服务失败，modelId: {}, content: {}", linkId, content, e);
+ log.error("调用AI服务失败，modelId: {}", linkId, e);
return buildErrorResponse(CODE_ERROR, "AI服务调用失败");
}
}
+
+ @Override
+ public void streamQuestion(AiRequest aiRequest, Consumer<AiResponse> callback) {
+
+ String promptTemplate = aiRequest.getPromptTemplate();
+ String linkId = aiRequest.getLinkId();
+ String content = aiRequest.getContent();
+ if (!StringUtils.hasText(promptTemplate) || !StringUtils.hasText(linkId) || !StringUtils.hasText(content)) {
+ log.warn("请求参数不完整，promptTemplate: {}, linkId: {}, content: {}", promptTemplate, linkId, content);
+ }
+
+ final List<ChatMessage> messages = new ArrayList<>();
+ final ChatMessage systemMessage = ChatMessage.builder().role(ChatMessageRole.SYSTEM).content(promptTemplate).build();
+ final ChatMessage userMessage = ChatMessage.builder().role(ChatMessageRole.USER).content(content).build();
+ messages.add(systemMessage);
+ messages.add(userMessage);
+
+ try {
+ JsonNode schemaNode = objectMapper.readTree(SCHEMA_JSON);
+ ChatCompletionRequest.ChatCompletionRequestResponseFormat responseFormat = new ChatCompletionRequest.ChatCompletionRequestResponseFormat(
+ "json_schema",
+ new ResponseFormatJSONSchemaJSONSchemaParam(
+ "ai_response",
+ "json数据响应",
+ schemaNode,
+ true
+ )
+ );
+ ChatCompletionRequest chatCompletionRequest = ChatCompletionRequest.builder()
+ .model(linkId)
+ .messages(messages)
+ .stream(true) // 启用流式响应
+ .responseFormat(responseFormat)
+ .temperature(0.7)
+ .topP(0.9)
+ .maxTokens(2048)
+ .build();
+
+ service.streamChatCompletion(chatCompletionRequest)
+ .doOnError(Throwable::printStackTrace) // 处理错误
+ .blockingForEach(response -> {
+ AiResponse partialResponse = new AiResponse();
+ if (response.getChoices() != null && !response.getChoices().isEmpty()) {
+ String responseStr = String.valueOf(response.getChoices().get(0).getMessage().getContent());
+ if (responseStr != null) {
+ // 构造部分响应并回调
+ partialResponse = buildGOINGONResponse(responseStr);
+ }
+ }else{
+ partialResponse = buildPartialResponse("成功");
+ }
+ callback.accept(partialResponse);
+ });
+// service.streamChatCompletion(chatCompletionRequest)
+// .doOnError(throwable -> {
+// log.error("流式调用AI服务失败", throwable);
+// callback.accept(buildErrorResponse(CODE_ERROR, "AI服务调用失败"));
+// })
+// .subscribe(chatCompletionChunk -> {
+// // 处理每个数据块
+// Object chunkContent = chatCompletionChunk.getChoices().get(0).getMessage().getContent();
+// // 构造部分响应并回调
+// AiResponse partialResponse = buildGOINGONResponse(chunkContent);
+// callback.accept(partialResponse);
+// });
+ } catch (Exception e) {
+ log.error("调用AI服务失败", e);
+ callback.accept(buildErrorResponse(CODE_ERROR, "AI服务调用失败"));
+ }
+ }
+
+ private AiResponse buildGOINGONResponse(Object chunkContent) {
+ AiResponse response = new AiResponse();
+ response.setCode(CODE_GOING_ON);
+ response.setDescription("成功");
+ response.setResContext(chunkContent.toString());
+ return response;
+ }
+
+ private AiResponse buildPartialResponse(Object chunkContent) {
+ AiResponse response = new AiResponse();
+ response.setCode(CODE_SUCCESS);
+ response.setDescription("成功");
+ response.setResContext(chunkContent.toString());
+ return response;
+ }
+
private static final Pattern JSON_PATTERN = Pattern.compile(
"<\\|FunctionCallBegin\\|>(.*?)<\\|FunctionCallEnd\\|>",
@@ -182,22 +276,19 @@
@Override
public Report extractReportData(String modelOutput) {
- // 提取JSON部分
Matcher matcher = JSON_PATTERN.matcher(modelOutput);
if (!matcher.find()) {
- log.warn("未匹配到FunctionCall内容，原始输出: {}", modelOutput);
+ log.warn("未匹配到FunctionCall内容，原始输出长度: {}", modelOutput.length());
return null;
}
String jsonContent = matcher.group(1);
- log.debug("提取到的JSON内容: {}", jsonContent);
+ log.debug("提取到的JSON内容长度: {}", jsonContent.length());
- // 解析JSON到Report对象
try {
return objectMapper.readValue(jsonContent, Report.class);
} catch (JsonProcessingException e) {
- log.error("JSON解析失败，原始内容: {}", jsonContent, e);
- // 尝试修复截断的JSON（可选）
+ log.error("JSON解析失败，原始内容长度: {}", jsonContent.length(), e);
Report repairedReport = tryRepairTruncatedJson(jsonContent);
if (repairedReport != null) {
log.info("成功修复截断的JSON");
@@ -207,13 +298,7 @@
}
}
- /**
- * 尝试修复截断的JSON字符串
- * @param truncatedJson 可能被截断的JSON字符串
- * @return 修复后的Report对象，如果无法修复则返回null
- */
private Report tryRepairTruncatedJson(String truncatedJson) {
- // 简单的修复策略：尝试添加缺失的结束括号
String[] repairAttempts = {
truncatedJson + "\"}}}",
truncatedJson + "}}}",
@@ -229,7 +314,7 @@
}
}
- log.warn("无法修复截断的JSON: {}", truncatedJson);
+ log.warn("无法修复截断的JSON，原始内容长度: {}", truncatedJson.length());
return null;
}
--
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