更新技能

app/services/skill_gap_service.py

@@ -79,19 +79,20 @@ class SkillGapService:
             return self._gap_result(10.0, job, detail.resume, [])
         # 4. 拼 AI 输入
         resume_json = _build_resume_json(detail)
-        # 5. AI 分析
-        missing = await analyze_skill_gap(skill_tags, resume_json)
-        # 6. 计算匹配分
-        score = round((len(skill_tags) - len(missing)) / len(skill_tags) * 10, 1)
-        return self._gap_result(score, job, detail.resume, missing)
+        # 5. AI 分析（返回差距条目 [{keyword, title, description}]）
+        gaps = await analyze_skill_gap(skill_tags, resume_json)
+        # 6. 计算匹配分（缺失技能 = 差距条目的 keyword）
+        missing_count = len(gaps)
+        score = round((len(skill_tags) - missing_count) / len(skill_tags) * 10, 1)
+        return self._gap_result(score, job, detail.resume, gaps)
 
     @staticmethod
-    def _gap_result(score: float, job: Job, resume: UserResume, missing: list[str]) -> dict:
+    def _gap_result(score: float, job: Job, resume: UserResume, gaps: list[dict]) -> dict:
         return {
             "score": score,
             "job": {"jobId": str(job.id), "title": job.title, "skillTags": job.skill_tags or []},
             "resume": {"resumeId": str(resume.id), "resumeName": resume.resume_name or "", "targetPosition": resume.target_position or ""},
-            "missingSkills": missing,
+            "gaps": gaps,
         }
 
     # ===== 生成定制简历 =====