添加 /tools/userVectorSortBrand.json

@@ -197,7 +197,11 @@ public class ToolsController {
         }
     }
 
-
+    /**
+     * 获取用户根据向量预测出来的品类品牌
+     * @param request
+     * @return
+     */
     @RequestMapping(method = RequestMethod.GET, value = "/userVectorSortBrand")
     @ResponseBody
     public SearchApiResult userVectorSortBrand(HttpServletRequest request) {

@@ -3,12 +3,14 @@ package com.yoho.search.service.scene;
 import com.yoho.search.models.SearchApiResult;
 import com.yoho.search.recall.scene.beans.builder.UserRecallRequestBuilder;
 import com.yoho.search.recall.scene.beans.persional.QueryUserPersionalFactorBean;
+import com.yoho.search.recall.scene.models.personal.UserPersonalFactor;
 import com.yoho.search.recall.scene.models.req.UserRecallRequest;
 import com.yoho.search.service.base.SearchRequestParams;
 import org.apache.commons.collections.MapUtils;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 
+import java.util.HashMap;
 import java.util.Map;
 
 @Service
@@ -27,9 +29,32 @@ public class UserVectorSortBrandService {
      */
     public SearchApiResult userVectorSortBrand(Map<String, String> paramMap) {
         try {
-            int pageSize = MapUtils.getIntValue(paramMap, SearchRequestParams.PARAM_SEARCH_VIEWNUM,30);
+            int pageSize = MapUtils.getIntValue(paramMap, SearchRequestParams.PARAM_SEARCH_VIEWNUM,20);
             UserRecallRequest userRecallRequest = userRecallRequestBuilder.buildUserRecallRequest(paramMap,pageSize);
-            return new SearchApiResult();
+            UserPersonalFactor userPersonalFactor = queryUserPersionalFactorBean.queryPersionalFactor(userRecallRequest);
+
+            Map<String,Object> results = new HashMap<>();
+            //uid+udid
+            results.put("uid",userRecallRequest.getUid());
+            results.put("udid",userRecallRequest.getUdid());
+
+            //推荐的skn
+            results.put("recommendSknList",userPersonalFactor.getRecommendSknList());
+            results.put("realTimeSimilarSknList",userPersonalFactor.getRealTimeSimilarSknList());
+
+            //用户价格带
+            results.put("sortPriceAreasListSize",userPersonalFactor.getSortPriceAreasListSize());
+
+            //实时的品类品牌
+            results.put("realTimeSortBrandList",userPersonalFactor.getRealTimeSortBrandList());
+            //RNN预测的品类品牌
+            results.put("forecastSortBrandList",userPersonalFactor.getForecastSortBrandListSize());
+
+            //向量相关
+            results.put("userVector",userPersonalFactor.getVector());
+            results.put("vectorSortBrandList",userPersonalFactor.getVectorSortBrandListSize());
+
+            return new SearchApiResult().setData(results);
         }catch (Exception e){
             return new SearchApiResult();
         }