超时统计添加开关

@@ -4,8 +4,11 @@ import javax.annotation.PostConstruct;
 import javax.servlet.http.HttpServletRequest;
 import javax.servlet.http.HttpServletResponse;
 
+import com.yoho.search.common.utils.HttpServletRequestUtils;
+import com.yoho.search.service.base.SearchDynamicConfigService;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
+import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.core.NamedThreadLocal;
 import org.springframework.web.servlet.HandlerInterceptor;
 import org.springframework.web.servlet.ModelAndView;
@@ -30,6 +33,9 @@ public class ControllerCostInterceptor implements HandlerInterceptor {
 
 	private PerformanceMonitor monitor;
 
+	@Autowired
+	private SearchDynamicConfigService searchDynamicConfigService;
+
 	@PostConstruct
 	void init() {
 		monitor = new PerformanceMonitor("CONTROLLER_PERFORMANCE", CONTROLLER_PERFORMANCE, 10);
@@ -66,8 +72,11 @@ public class ControllerCostInterceptor implements HandlerInterceptor {
 			if (cost <= 500) {
 				return;
 			}
-			// // 5、打印响应超过500ms的请求与参数
-			// CONTROLLER_COST.info("run more than 500ms ,cost [{}] ms, RequestURL: {}", cost, HttpServletRequestUtils.getRequestUrl(request));
+			
+			// 5、打印响应超过500ms的请求与参数
+			if(searchDynamicConfigService.isControllerCostLogOpen()){
+				CONTROLLER_COST.info("run more than 500ms ,cost [{}] ms, RequestURL: {}", cost, HttpServletRequestUtils.getRequestUrl(request));
+			}
 		} catch (Exception e) {
 			// TODO: handle exception
 		} finally {

@@ -215,5 +215,12 @@ public class SearchDynamicConfigService {
 	public boolean isSearchLikeSimilarSknOpen() {
 		return configReader.getBoolean("search.searchlike.similarskn", true);
 	}
+
+	/**
+	 * 超时日志是否打开
+	 */
+	public boolean isControllerCostLogOpen() {
+		return configReader.getBoolean("search.controller.cost.log.open", true);
+	}
 	
 }

@@ -51,6 +51,8 @@ search.persional.recommend.open=true
 
 #searchlike
 search.searchlike.similarskn=true
+#log
+search.controller.cost.log.open=true
 
 search.persional.rateLimit.brand.productList=200:2
 search.persional.rateLimit.brand.aggregations=100:2