添加AI推荐列表

client-api/src/main/java/org/jiayunet/controller/JobController.java

@@ -4,6 +4,7 @@ import lombok.AllArgsConstructor;
 import org.jiayunet.pojo.PageResult;
 import org.jiayunet.pojo.dto.job.JobDetailDto;
 import org.jiayunet.pojo.dto.job.JobDto;
+import org.jiayunet.pojo.dto.job.JobAgentRecommendDto;
 import org.jiayunet.pojo.param.job.*;
 import org.jiayunet.pojo.vo.JobApplyCountVo;
 import org.jiayunet.pojo.vo.JobFavoriteCountVo;
@@ -139,4 +140,13 @@ public class JobController {
         Long userId = UserSecurityTool.getUserId();
         return jobService.listAgentTasks(param, userId);
     }
+
+    /**
+     * 求职助手岗位推荐（AI精筛）
+     */
+    @PostMapping("/agent/recommend")
+    public JobAgentRecommendDto recommendJobs(@RequestBody JobAgentRecommendParam param) {
+        Long userId = UserSecurityTool.getUserId();
+        return jobService.recommendJobs(param, userId);
+    }
 }

client-api/src/main/java/org/jiayunet/pojo/dto/job/JobAgentRecommendDto.java

@@ -0,0 +1,20 @@
+package org.jiayunet.pojo.dto.job;
+
+import lombok.Data;
+
+import java.util.List;
+
+/**
+ * 求职助手岗位推荐出参
+ *
+ * @author zk
+ */
+@Data
+public class JobAgentRecommendDto {
+
+    /** 推荐说明（20字以内） */
+    private String summary;
+
+    /** 推荐的岗位列表（8-10个，完整列表数据） */
+    private List<JobDto> list;
+}

client-api/src/main/java/org/jiayunet/pojo/param/job/JobAgentRecommendParam.java

@@ -0,0 +1,20 @@
+package org.jiayunet.pojo.param.job;
+
+import lombok.Data;
+
+import java.util.List;
+
+/**
+ * 求职助手岗位推荐入参
+ *
+ * @author zk
+ */
+@Data
+public class JobAgentRecommendParam {
+
+    /** 用户偏好描述，如"更喜欢技术一点的产品" */
+    private String preference;
+
+    /** 排除已推荐过的岗位ID列表 */
+    private List<Long> excludeJobIds;
+}

client-api/src/main/java/org/jiayunet/pojo/param/job/JobQueryParam.java

@@ -30,6 +30,9 @@ public class JobQueryParam extends PageParam {
     /** 指定岗位ID列表（用于收藏列表） */
     private List<Long> jobIds;
 
+    /** 排除岗位ID列表（用于推荐时排除已推荐过的） */
+    private List<Long> excludeJobIds;
+
     /** 岗位状态过滤（0=有效 1=已下架 2=已过期，可多选，null或空=查所有） */
     private List<Integer> statusFilter;
 }

client-api/src/main/java/org/jiayunet/service/JobService.java

@@ -1,5 +1,6 @@
 package org.jiayunet.service;
 
+import org.jiayunet.ai.AiChatAbility;
 import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
 import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
 import lombok.extern.slf4j.Slf4j;
@@ -8,11 +9,16 @@ import org.jiayunet.pojo.PageResult;
 import org.jiayunet.pojo.dto.job.JobDetailDto;
 import org.jiayunet.pojo.dto.job.JobDto;
 import org.jiayunet.pojo.dto.job.JobMatchScoreDto;
+import org.jiayunet.pojo.dto.job.JobAgentRecommendDto;
+import org.jiayunet.pojo.param.job.JobAgentRecommendParam;
 import org.jiayunet.pojo.param.job.JobAgentTaskQueryParam;
 import org.jiayunet.pojo.param.job.JobApplyQueryParam;
 import org.jiayunet.pojo.param.job.JobFavoriteQueryParam;
 import org.jiayunet.pojo.param.job.JobQueryParam;
 import org.jiayunet.pojo.po.*;
+import org.jiayunet.tool.HttpTool;
+import org.jiayunet.exception.BusinessException;
+import org.jiayunet.exception.BusinessExpCodeEnum;
 import org.jiayunet.pojo.vo.JobApplyCountVo;
 import org.jiayunet.pojo.vo.JobFavoriteCountVo;
 import org.jiayunet.pojo.vo.JobListItemVo;
@@ -20,6 +26,7 @@ import org.springframework.beans.BeanUtils;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 
+import com.fasterxml.jackson.databind.JsonNode;
 import java.time.Instant;
 import java.util.*;
 import java.util.stream.Collectors;
@@ -66,6 +73,12 @@ public class JobService {
     @Autowired
     private JobMatchService jobMatchService;
 
+    @Autowired
+    private UserJobIntentionMapper userJobIntentionMapper;
+
+    @Autowired
+    private AiChatAbility aiChatAbility;
+
     /**
      * 岗位列表查询
      * <p>方法逻辑流程：</p>
@@ -96,7 +109,10 @@ public class JobService {
         List<UserJobDislike> dislikes = userJobDislikeMapper.selectList(new LambdaQueryWrapper<UserJobDislike>().eq(UserJobDislike::getUserId, userId));
 
         // 3. 提取排除列表
-        List<Long> excludeJobIds = dislikes.stream().map(UserJobDislike::getJobId).filter(Objects::nonNull).distinct().collect(Collectors.toList());
+        List<Long> excludeJobIds = new ArrayList<>(dislikes.stream().map(UserJobDislike::getJobId).filter(Objects::nonNull).distinct().collect(Collectors.toList()));
+        if (param.getExcludeJobIds() != null && !param.getExcludeJobIds().isEmpty()) {
+            excludeJobIds.addAll(param.getExcludeJobIds());
+        }
         List<Long> excludeCompanyIds = dislikes.stream().map(UserJobDislike::getCompanyId).filter(Objects::nonNull).distinct().collect(Collectors.toList());
 
         // 4. 提取不感兴趣的地区（直接使用，不扩展子级）
@@ -561,4 +577,104 @@ public class JobService {
 
         return vo;
     }
+
+    /**
+     * 求职助手岗位推荐
+     * <p>1. 查求职意向构造筛选条件（无意向则不设条件） 2. 排除已推荐的+已投递的 3. 取前35条候选 4. AI精筛返回8-10个</p>
+     */
+    public JobAgentRecommendDto recommendJobs(JobAgentRecommendParam param, Long userId) {
+        // 1. 查求职意向
+        UserJobIntention intention = userJobIntentionMapper.selectOne(new LambdaQueryWrapper<UserJobIntention>().eq(UserJobIntention::getUserId, userId));
+
+        // 2. 构造查询参数
+        JobQueryParam queryParam = new JobQueryParam();
+        queryParam.setPageNum(1);
+        queryParam.setPageSize(35);
+        if (intention != null) {
+            queryParam.setCategoryIds(intention.getCategoryIds());
+            queryParam.setRegionCodes(intention.getRegionCodes());
+            queryParam.setIndustryIds(intention.getIndustryIds());
+            queryParam.setEmploymentType(intention.getEmploymentType());
+        }
+
+        // 3. 合并排除列表：入参传的 + 已投递/待投递的
+        List<Long> excludeIds = new ArrayList<>();
+        if (param.getExcludeJobIds() != null) {
+            excludeIds.addAll(param.getExcludeJobIds());
+        }
+        List<UserJobApplication> applications = userJobApplicationMapper.selectList(new LambdaQueryWrapper<UserJobApplication>().eq(UserJobApplication::getUserId, userId));
+        applications.forEach(a -> excludeIds.add(a.getJobId()));
+        queryParam.setExcludeJobIds(excludeIds);
+
+        // 4. 查询候选岗位（完整列表数据）
+        PageResult<JobDto> candidates = listJobs(queryParam, userId);
+        if (candidates.getList().isEmpty()) {
+            JobAgentRecommendDto dto = new JobAgentRecommendDto();
+            dto.setSummary("暂无合适的岗位推荐");
+            dto.setList(Collections.emptyList());
+            return dto;
+        }
+
+        // 5. 批量查岗位详情（title + description + requirement）
+        List<Long> candidateJobIds = candidates.getList().stream().map(JobDto::getId).collect(Collectors.toList());
+        List<Job> jobDetails = jobMapper.selectList(new LambdaQueryWrapper<Job>().in(Job::getId, candidateJobIds).select(Job::getId, Job::getTitle, Job::getDescription, Job::getRequirement));
+        Map<Long, Job> jobDetailMap = jobDetails.stream().collect(Collectors.toMap(Job::getId, j -> j));
+
+        // 6. 构造候选岗位映射（供AI返回后过滤使用）
+        Map<Long, JobDto> candidateMap = candidates.getList().stream().collect(Collectors.toMap(JobDto::getId, d -> d));
+
+        // 7. 构造AI输入
+        StringBuilder jobInfo = new StringBuilder();
+        for (JobDto dto : candidates.getList()) {
+            Job detail = jobDetailMap.get(dto.getId());
+            jobInfo.append("ID:").append(dto.getId())
+                    .append("\n标题:").append(dto.getTitle())
+                    .append("\n公司:").append(dto.getCompanyName())
+                    .append("\n岗位职责:").append(detail != null ? detail.getDescription() : "")
+                    .append("\n任职要求:").append(detail != null ? detail.getRequirement() : "")
+                    .append("\n---\n");
+        }
+
+        String preferenceInfo = param.getPreference() != null ? param.getPreference() : "无特殊偏好";
+
+        String systemPrompt = "你是一个求职推荐助手。根据用户的偏好，从候选岗位中选出8-10个最合适的岗位。" +
+                "返回JSON格式：{\"summary\":\"推荐说明（20字以内）\",\"jobIds\":[岗位ID列表]}。" +
+                "只返回JSON，不要其他内容。";
+        String userMessage = "【用户偏好】\n" + preferenceInfo + "\n\n【候选岗位】\n" + jobInfo;
+
+        // 8. 调用AI
+        String aiResponse = aiChatAbility.chat("job-recommend", systemPrompt, userMessage);
+        String json = cleanAiResponse(aiResponse);
+
+        // 9. 解析AI返回，过滤出选中的岗位
+        try {
+            JsonNode root = HttpTool.objectMapper.readTree(json);
+            String summary = root.path("summary").asText("为你精选了合适的岗位");
+            List<Long> selectedIds = new ArrayList<>();
+            root.path("jobIds").forEach(node -> selectedIds.add(node.asLong()));
+
+            List<JobDto> selectedJobs = selectedIds.stream()
+                    .map(candidateMap::get)
+                    .filter(Objects::nonNull)
+                    .collect(Collectors.toList());
+
+            JobAgentRecommendDto result = new JobAgentRecommendDto();
+            result.setSummary(summary);
+            result.setList(selectedJobs);
+            return result;
+        } catch (Exception e) {
+            log.error("AI推荐结果解析失败, response={}", json, e);
+            throw new BusinessException(BusinessExpCodeEnum.UNKNOWN_ERROR, "AI推荐结果解析失败");
+        }
+    }
+
+    /** 清理AI返回的markdown代码块和控制字符 */
+    private String cleanAiResponse(String response) {
+        String json = response.trim();
+        if (json.startsWith("```")) {
+            json = json.replaceAll("^```\\w*\\n?", "").replaceAll("\\n?```$", "").trim();
+        }
+        json = json.replaceAll("[\\x00-\\x08\\x0B\\x0C\\x0E-\\x1F]", "");
+        return json;
+    }
 }

client-api/src/main/resources/application-local.yml

@@ -88,6 +88,11 @@ app:
         base-url: ${AI_BASE_URL:https://ark.cn-beijing.volces.com/api/v3}
         api-key: ${AI_API_KEY:fd065993-bee2-4f31-8bf2-56d5d3012c02}
         model: ${AI_MODEL:doubao-seed-2-0-lite-260215}
+      job-recommend:
+        base-url: ${AI_BASE_URL:https://ark.cn-beijing.volces.com/api/v3}
+        api-key: ${AI_API_KEY:fd065993-bee2-4f31-8bf2-56d5d3012c02}
+        model: ${AI_MODEL:doubao-1-5-pro-32k-250115}
+
 
   # 岗位清洗配置
   job-clean:

common/src/main/java/org/jiayunet/pojo/PageParam.java

@@ -20,7 +20,7 @@ public class PageParam {
 
     /** 每页条数 */
     @Min(value = 1, message = "每页条数最小为1")
-    @Max(value = 100, message = "每页条数最大为100")
+    @Max(value = 1000, message = "每页条数最大为100")
     private Integer pageSize = 10;
 
     /**