feat: expose knowledge type priority traces

ai_knowledge_base_v2/apps/backend/app/api/admin_agent_records.py

@@ -14,6 +14,7 @@ from app.models.admin import Admin
 from app.models.knowledge import (
     HumanAttentionHistory,
     HumanAttentionRecord,
+    Knowledge,
     KnowledgeRetrievalCandidate,
     KnowledgeRetrievalLog,
 )
@@ -113,11 +114,19 @@ def retrieval_detail(
         .where(KnowledgeRetrievalCandidate.retrieval_log_id == log.id)
         .order_by(KnowledgeRetrievalCandidate.selected.desc(), KnowledgeRetrievalCandidate.id)
     ).all()
+    knowledge_ids = {item.knowledge_id for item in candidates}
+    knowledge_map = {
+        item.id: item
+        for item in db.scalars(select(Knowledge).where(Knowledge.id.in_(knowledge_ids))).all()
+    } if knowledge_ids else {}
     data = _retrieval_dict(log, detail=True)
     data["candidates"] = [
         {
             "id": item.id,
             "knowledgeId": item.knowledge_id,
+            "knowledgeName": knowledge_map[item.knowledge_id].name if item.knowledge_id in knowledge_map else "",
+            "knowledgeType": knowledge_map[item.knowledge_id].knowledge_type if item.knowledge_id in knowledge_map else "general",
+            "knowledgeTypeLabel": _knowledge_type_label(knowledge_map[item.knowledge_id].knowledge_type if item.knowledge_id in knowledge_map else "general"),
             "versionId": item.version_id,
             "chunkId": item.chunk_id,
             "sectionId": item.section_id,
@@ -131,6 +140,15 @@ def retrieval_detail(
     return api_success(data)
 
 
+def _knowledge_type_label(value: str) -> str:
+    return {
+        "fixed": "固定信息类·最高优先级",
+        "course": "课程知识库",
+        "qa": "答疑知识库",
+        "general": "通用知识库",
+    }.get(value, value or "通用知识库")
+
+
 @router.get("/attention/list")
 def attention_list(
     priority: str = Query(default=""),