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...

Administrator

2025-08-06 5a624d468c8f4eddd89c8cf9b99eb6466fa21481

 src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java

@@ -1,13 +1,15 @@
package cc.mrbird.febs.ai.service.impl;

import cc.mrbird.febs.ai.entity.AiProductRole;
import cc.mrbird.febs.ai.req.ai.AiRequest;
import cc.mrbird.febs.ai.res.ai.AiResponse;
import cc.mrbird.febs.ai.res.ai.Report;
import cc.mrbird.febs.ai.service.AiProductRoleService;
import cc.mrbird.febs.ai.service.AiService;
import com.volcengine.ark.runtime.model.completion.chat.ChatCompletionChoice;
import com.volcengine.ark.runtime.model.completion.chat.ChatCompletionRequest;
import com.volcengine.ark.runtime.model.completion.chat.ChatMessage;
import com.volcengine.ark.runtime.model.completion.chat.ChatMessageRole;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.volcengine.ark.runtime.model.completion.chat.*;
import com.volcengine.ark.runtime.service.ArkService;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
@@ -22,6 +24,8 @@
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.stream.Collectors;

/**
@@ -37,6 +41,7 @@
    private static final String CODE_ERROR = "500";

    private final AiProductRoleService aiProductRoleService;
    private final ObjectMapper objectMapper;

    @Value("${ai.service.ak}")
    private String ak;
@@ -90,11 +95,19 @@
            return buildErrorResponse(CODE_ERROR, "角色配置不完整");
        }

        return question(promptTemplate, linkId, content);
        AiRequest aiRequest = new AiRequest();
        aiRequest.setPromptTemplate(promptTemplate);
        aiRequest.setLinkId(linkId);
        aiRequest.setContent(content);

        return question(aiRequest);
    }

    @Override
    public AiResponse question(String promptTemplate, String linkId, String content) {
    public AiResponse question(AiRequest aiRequest) {
        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);
            return buildErrorResponse(CODE_ERROR, "请求参数不完整");
@@ -106,16 +119,44 @@
        messages.add(systemMessage);
        messages.add(userMessage);

        ChatCompletionRequest chatCompletionRequest = ChatCompletionRequest.builder()
                .model(linkId)
                .messages(messages)
                .temperature(1.0)
                .topP(0.7)
                .maxTokens(4096)
                .frequencyPenalty(0.0)
                .build();

        // 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
            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(false)
                    .responseFormat(responseFormat)
                    .temperature(1.0)
                    .topP(0.7)
                    .maxTokens(4096)
                    .frequencyPenalty(0.0)
                    .build();
            List<ChatCompletionChoice> choices = service.createChatCompletion(chatCompletionRequest).getChoices();
            String result = choices.stream()
                    .map(choice -> choice.getMessage().getContent())
@@ -123,11 +164,73 @@
                    .map(Object::toString)
                    .collect(Collectors.joining());

            return buildSuccessResponse(result);
            Report report = this.extractReportData(result);
            return buildSuccessResponse(report, result);
        } catch (JsonProcessingException e) {
            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);
            return buildErrorResponse(CODE_ERROR, "AI服务调用失败");
        }
    }

    private static final Pattern JSON_PATTERN = Pattern.compile(
            "<\\|FunctionCallBegin\\|>(.*?)<\\|FunctionCallEnd\\|>",
            Pattern.DOTALL
    );

    @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);
            return null;
        }

        String jsonContent = matcher.group(1);
        log.debug("提取到的JSON内容: {}", jsonContent);

        // 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）
            Report repairedReport = tryRepairTruncatedJson(jsonContent);
            if (repairedReport != null) {
                log.info("成功修复截断的JSON");
                return repairedReport;
            }
            return null;
        }
    }

    /**
     * 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 + "}}}",
                truncatedJson + "}}"
        };

        for (String attempt : repairAttempts) {
            try {
                return objectMapper.readValue(attempt, Report.class);
            } catch (JsonProcessingException e) {
                log.debug("修复尝试失败: {}", attempt);
                continue;
            }
        }

        log.warn("无法修复截断的JSON: {}", truncatedJson);
        return null;
    }

    private AiResponse buildErrorResponse(String code, String description) {
@@ -144,4 +247,13 @@
        response.setResContext(result);
        return response;
    }

    private AiResponse buildSuccessResponse(Report report, String result) {
        AiResponse response = new AiResponse();
        response.setCode(CODE_SUCCESS);
        response.setDescription("成功");
        response.setResContext(result);
        response.setReport(report);
        return response;
    }
}