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AI岗位推荐,修改候选岗位池2000

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zk
2026-06-05 15:06:59 +08:00
parent f318e44481
commit 310d99cfc3
1 changed files with 19 additions and 11 deletions
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client-api/src/main/java/org/jiayunet/service/JobService.java
+19 -11
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@@ -614,7 +614,7 @@ public class JobService {
/**
* 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>
* <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2000条候选池 4. 随机取100条 5. AI精筛返回8-10个</p>
*/
public JobAgentRecommendDto recommendJobs(JobAgentRecommendParam param, Long userId) {
StopWatch sw = new StopWatch("recommendJobs");
@@ -627,12 +627,13 @@ public class JobService {
// 2. 构造查询参数
JobQueryParam queryParam = new JobQueryParam();
queryParam.setPageNum(1);
queryParam.setPageSize(100);
queryParam.setPageSize(2000);
if (intention != null) {
queryParam.setCategoryIds(intention.getCategoryIds());
queryParam.setRegionCodes(intention.getRegionCodes());
queryParam.setIndustryIds(intention.getIndustryIds());
queryParam.setEmploymentType(intention.getEmploymentType());
queryParam.setRecruitCategory(intention.getRecruitCategory());
}
// 3. 合并排除列表：入参传的 + 已投递/待投递的
@@ -646,7 +647,7 @@ public class JobService {
applications.forEach(a -> excludeIds.add(a.getJobId()));
queryParam.setExcludeJobIds(excludeIds);
// 4. 查询候选岗位（完整列表数据）
// 4. 查询候选池（2000条）
sw.start("查候选岗位");
PageResult<JobDto> candidates = listJobs(queryParam, userId);
sw.stop();
@@ -657,27 +658,34 @@ public class JobService {
return dto;
}
// 5. 批量查岗位详情（title + description + requirement）
// 5. 随机取100条作为AI候选
List<JobDto> candidateList = new ArrayList<>(candidates.getList());
Collections.shuffle(candidateList);
if (candidateList.size() > 100) {
candidateList = candidateList.subList(0, 100);
}
// 6. 批量查岗位详情（title + description + requirement）
sw.start("查岗位详情");
List<Long> candidateJobIds = candidates.getList().stream().map(JobDto::getId).collect(Collectors.toList());
List<Long> candidateJobIds = candidateList.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));
sw.stop();
// 6. 构造别名映射（短序号 → 真实ID）和候选岗位映射
// 7. 构造别名映射（短序号 → 真实ID）和候选岗位映射
Map<Integer, Long> aliasToRealId = new HashMap<>();
Map<Long, JobDto> candidateMap = new HashMap<>();
int seq = 1;
for (JobDto dto : candidates.getList()) {
for (JobDto dto : candidateList) {
aliasToRealId.put(seq, dto.getId());
candidateMap.put(dto.getId(), dto);
seq++;
}
// 7. 构造AI输入（用短序号替代19位雪花ID，减少token消耗）
// 8. 构造AI输入（用短序号替代19位雪花ID，减少token消耗）
StringBuilder jobInfo = new StringBuilder();
seq = 1;
for (JobDto dto : candidates.getList()) {
for (JobDto dto : candidateList) {
Job detail = jobDetailMap.get(dto.getId());
jobInfo.append("ID:").append(seq++)
.append("\n标题:").append(dto.getTitle())
@@ -695,7 +703,7 @@ public class JobService {
"只返回JSON，不要其他内容。";
String userMessage = "【用户偏好（仅供参考）】\n" + preferenceInfo + "\n\n【候选岗位】\n" + jobInfo;
// 8. 调用AI
// 9. 调用AI
sw.start("AI调用");
String aiResponse = aiChatAbility.chat("job-recommend", systemPrompt, userMessage);
String json = AiResponseCleanTool.clean(aiResponse);
@@ -703,7 +711,7 @@ public class JobService {
log.info("recommendJobs耗时统计:\n{}", sw.prettyPrint());
// 9. 解析AI返回，别名映射回真实ID，过滤出选中的岗位
// 10. 解析AI返回，别名映射回真实ID，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");