新增风险监控接口并补齐案例结果字段

app/api/router.py

@@ -7,6 +7,7 @@ from app.api.v1.conversations import router as conversations_router
 from app.api.v1.dashboard import router as dashboard_router
 from app.api.v1.health import router as health_router
 from app.api.v1.model_config import router as model_config_router
+from app.api.v1.monitoring import router as monitoring_router
 from app.api.v1.ocr import router as ocr_router
 from app.api.v1.reports import router as reports_router
 from app.api.v1.risk_items import router as risk_items_router
@@ -17,6 +18,7 @@ from app.api.v1.suppliers import router as suppliers_router
 api_router = APIRouter(prefix="/api/v1")
 api_router.include_router(health_router)
 api_router.include_router(model_config_router)
+api_router.include_router(monitoring_router)
 api_router.include_router(ocr_router)
 api_router.include_router(auth_router)
 api_router.include_router(conversations_router)

app/api/v1/monitoring.py

@@ -0,0 +1,28 @@
+from typing import Annotated
+
+from fastapi import APIRouter, Depends
+
+from app.api.dependencies import DatabaseSession, require_permission
+from app.models.entities import OperationAudit, UserAccount
+from app.schemas.common import ApiResponse
+
+router = APIRouter(prefix="/monitoring", tags=["monitoring"])
+
+
+@router.post("/risk")
+async def monitor_risk(
+    payload: dict,
+    session: DatabaseSession,
+    current_user: Annotated[UserAccount, Depends(require_permission("risk.assess", operate=True))],
+) -> ApiResponse[dict]:
+    session.add(
+        OperationAudit(
+            actor_user_id=current_user.id,
+            actor_emp_no=current_user.emp_no,
+            action="risk.monitor.add",
+            resource_type="risk_assessment",
+            resource_id=str(payload.get("subject_id") or ""),
+            audit_metadata=payload,
+        )
+    )
+    return ApiResponse(data={"monitored": True, "subject_id": payload.get("subject_id")})

app/schemas/risk_prediction.py

@@ -79,6 +79,7 @@ class SimilarCase(ApiSchema):
     description: str | None = None
     root_cause: str | None = None
     defect_level: str | None = None
+    result: str | None = None
     problem: str | None = None
     solution: str | None = None
     similarity: float | None = None

app/services/rag.py

@@ -123,6 +123,7 @@ class AnomalyCaseRAG:
             AnomalyCase.solution,
             AnomalyCase.root_cause,
             AnomalyCase.defect_level,
+            AnomalyCase.result,
         )
         vector_ready = await self._vector_column_ready()
         has_vectors = await self._has_stored_vectors() if vector_ready else False
@@ -135,7 +136,7 @@ class AnomalyCaseRAG:
             """
             SELECT id, date, product_name, product_category, material_type, supplier,
                    factory, stage_new, anomaly_type, description, solution, root_cause,
-                   defect_level, 1 - (embedding_vector <=> CAST(:embedding AS halfvec)) AS vector_score
+                   defect_level, result, 1 - (embedding_vector <=> CAST(:embedding AS halfvec)) AS vector_score
             FROM anomaly_cases
             WHERE embedding_vector IS NOT NULL
             ORDER BY embedding_vector <=> CAST(:embedding AS halfvec)
@@ -306,6 +307,7 @@ class AnomalyCaseRAG:
             description=row.get("description"),
             root_cause=row.get("root_cause"),
             defect_level=row.get("defect_level"),
+            result=row.get("result"),
             problem=(row.get("anomaly_type") or row.get("description") or "历史异常未填写"),
             solution=(row.get("solution") or row.get("root_cause") or "请查看原始案例记录"),
         )