添加用户第一页数据是否缓存的开关

@@ -17,6 +17,7 @@ import com.yoho.search.recall.scene.models.req.UserRecallRequest;
 import com.yoho.search.recall.scene.models.req.UserRecallResponse;
 import com.yoho.search.recall.scene.models.common.RecallSknInfo;
 import com.yoho.search.service.base.SearchCommonService;
+import com.yoho.search.service.base.SearchDynamicConfigService;
 import com.yoho.search.service.helper.SearchCommonHelper;
 import org.apache.commons.collections.MapUtils;
 import org.elasticsearch.index.query.BoolQueryBuilder;
@@ -47,6 +48,8 @@ public class SceneRecallProductListService {
     private UserRecallRequestResponseCacheBean userRecallRequestResponseCacheBean;
     @Autowired
     private SknInfoResqusetResponseCacheBean sknInfoResqusetResponseCacheBean;
+    @Autowired
+    private SearchDynamicConfigService searchDynamicConfigService;
 
     /**
      * 个性化召回列表入口1
@@ -78,15 +81,21 @@ public class SceneRecallProductListService {
      * @return
      */
     public SearchApiResult recallProductList(UserRecallRequest userRecallRequest, int page) {
-        //1、执行召回
+        //1、判断第一页是要需要查缓存【不查询缓存时，只添加缓存，以保证用户数据的实时性】
+        boolean ignoreQueryCache = false;
+        if(page==1 && !searchDynamicConfigService.searchPersionalNewStrategyFirstPageCacheOpen()){
+            ignoreQueryCache = true;
+        }
+
+        //2、执行召回
         long begin = System.currentTimeMillis();
-        boolean ignoreQueryCache = page==1?true:false;//第一页不查缓存，只添加缓存，保证用户数据的实时性
         UserRecallResponse userRecallResponse = userRecallRequestResponseCacheBean.queryRecallResult(userRecallRequest,ignoreQueryCache);
-
         RECALL_NEW_LOGGER.info("RecallProductListService[1]-queryRecallResult,cost is [{}]", System.currentTimeMillis()-begin);
-        //2、根据召回结果查询商品信息
+
+        //3、根据召回结果查询商品信息
         List<Map<String, Object>> productList = this.queryProductList(userRecallRequest, userRecallResponse,page, userRecallRequest.getPageSize());
-        //3、构造返回结果
+
+        //4、构造返回结果
         JSONObject dataMap = new JSONObject();
         dataMap.put("total", userRecallResponse.getTotal());
         dataMap.put("page", page);

@@ -50,15 +50,6 @@ public class SearchDynamicConfigService {
 		return configReader.getBoolean("search.price.plan.open", true);
 	}
 
-//	/**
-//	 * 获取个性化搜索特征向量的版本 默认为-1
-//	 *
-//	 * @return
-//	 */
-//	public String personalizedSearchVersion() {
-//		return configReader.getString("search.personalized.feature.version", "-1");
-//	}
-
 	/**
 	 * 频道降分是否打开
 	 *
@@ -87,15 +78,6 @@ public class SearchDynamicConfigService {
 	}
 
 	/**
-	 * 是否支持从conversion索引获取搜索提示词
-	 * 
-	 * @return
-	 */
-	public boolean isSearchSuggestionFromConversionOpen() {
-		return configReader.getBoolean("search.suggestion.tips.conversion.open", true);
-	}
-
-	/**
 	 * 关于API查看动态参数值
 	 */
 	public String getDynamicParameterValue(String key) {
@@ -185,6 +167,15 @@ public class SearchDynamicConfigService {
 	}
 
 	/**
+	 * 新的的召回策略-第一页是否缓存
+	 *
+	 * @return
+	 */
+	public boolean searchPersionalNewStrategyFirstPageCacheOpen() {
+		return configReader.getBoolean("search.persional.newstrategy.first_page_cache.open", false);
+	}
+
+	/**
 	 * 促销页使用新的的召回策略
 	 *
 	 * @return

@@ -35,6 +35,11 @@ search.suggestion.tips.conversion.open=true
 #searchlike.not_in_shop.same_sort_percent
 search.searchlike.not_in_shop.same_sort_percent=60
 
+#searchlike
+search.searchlike.similarskn=true
+#log
+search.controller.cost.log.open=true
+
 #persional
 search.degrade.open.personalized=true
 
@@ -46,16 +51,13 @@ search.sortpage.recall.brand.count=30
 
 search.persional.newstrategy.open=true
 search.persional.newstrategy.promotion.open=true
+search.persional.newstrategy.first_page_cache.open=false
 
 #rateLimit
 search.persional.rateLimit.open=true
 search.persional.recommend.open=true
 
-#searchlike
-search.searchlike.similarskn=true
-#log
-search.controller.cost.log.open=true
-
+#rateLimit config
 search.persional.rateLimit.brand.productList=200:2
 search.persional.rateLimit.brand.aggregations=100:2
 
@@ -94,7 +96,6 @@ search.persional.rateLimit.zq.aggregations=100:2
 search.persional.rateLimit.group_brands=100:2
 search.persional.rateLimit.group_shops=100:2
 
-
 search.persional.rateLimit.search=100:2
 search.persional.rateLimit.productindex.productList=100:2
 search.persional.rateLimit.productindex.productListWithPhrase=100:2