更新技能

app/ai/skill_gap_analyzer/analyzer.py

@@ -28,17 +28,25 @@ _skill_gap_chain = (
 )
 
 
-async def analyze_skill_gap(skill_tags: list[str], resume_json: str) -> list[str]:
-    """分析技能差距，返回缺失技能列表"""
+async def analyze_skill_gap(skill_tags: list[str], resume_json: str) -> list[dict]:
+    """分析技能差距，返回差距条目列表 [{keyword, title, description}]，keyword 为缺失技能"""
     try:
         raw = await _skill_gap_chain.ainvoke({"skill_tags": str(skill_tags), "resume_json": resume_json})
         result = parse_llm_json(raw)
         if isinstance(result, list):
-            return [s for s in result if isinstance(s, str) and s in skill_tags]
-        return skill_tags  # 解析异常降级：全部标记缺失
+            return result
+        return _fallback_gaps(skill_tags)  # 解析异常降级：全部标记缺失
     except Exception as e:
         log.warning(f"AI技能差距分析失败: {e}")
-        return skill_tags  # 降级：全部标记缺失
+        return _fallback_gaps(skill_tags)  # 降级：全部标记缺失
+
+
+def _fallback_gaps(skill_tags: list[str]) -> list[dict]:
+    """降级：把全部岗位技能标记为缺失"""
+    return [
+        {"keyword": kw, "title": f"缺少{kw}", "description": "岗位要求该技能，简历暂未体现。"}
+        for kw in skill_tags
+    ]
 
 
 # ===== 定制简历 - summary 优化 =====