Merge pull request '新增用户分析相关属性' (#2002) from zouap_static into V20220428

Reviewed-on: https://git.openi.org.cn/OpenI/aiforge/pulls/2002
Reviewed-by: ychao_1983 <ychao_1983@sina.com>

models/user_business_analysis.go

@@ -82,17 +82,27 @@ type UserBusinessAnalysisAll struct {
 	DataDate string `xorm:"NULL"`
 
 	//cloudbraintask
-	CloudBrainTaskNum int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuInferenceJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuBenchMarkJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	CloudBrainRunTime int     `xorm:"NOT NULL DEFAULT 0"`
-	CommitDatasetNum  int     `xorm:"NOT NULL DEFAULT 0"`
-	UserIndex         float64 `xorm:"NOT NULL DEFAULT 0"`
-	UserLocation      string  `xorm:"NULL"`
+	CloudBrainTaskNum  int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuInferenceJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuBenchMarkJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	CloudBrainRunTime  int     `xorm:"NOT NULL DEFAULT 0"`
+	CommitDatasetNum   int     `xorm:"NOT NULL DEFAULT 0"`
+	UserIndex          float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserIndexPrimitive float64 `xorm:"NOT NULL DEFAULT 0"`
+
+	UserLocation string `xorm:"NULL"`
+
+	FocusOtherUser   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectDataset   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedDataset int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendDataset int `xorm:"NOT NULL DEFAULT 0"`
+	CollectImage     int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedImage   int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendImage   int `xorm:"NOT NULL DEFAULT 0"`
 }
 
 type UserBusinessAnalysis struct {
@@ -159,17 +169,27 @@ type UserBusinessAnalysis struct {
 
 	DataDate string `xorm:"NULL"`
 
-	CloudBrainTaskNum int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuInferenceJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuBenchMarkJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	CloudBrainRunTime int     `xorm:"NOT NULL DEFAULT 0"`
-	CommitDatasetNum  int     `xorm:"NOT NULL DEFAULT 0"`
-	UserIndex         float64 `xorm:"NOT NULL DEFAULT 0"`
-	UserLocation      string  `xorm:"NULL"`
+	CloudBrainTaskNum  int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuInferenceJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuBenchMarkJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	CloudBrainRunTime  int     `xorm:"NOT NULL DEFAULT 0"`
+	CommitDatasetNum   int     `xorm:"NOT NULL DEFAULT 0"`
+	UserIndex          float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserIndexPrimitive float64 `xorm:"NOT NULL DEFAULT 0"`
+
+	UserLocation string `xorm:"NULL"`
+
+	FocusOtherUser   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectDataset   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedDataset int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendDataset int `xorm:"NOT NULL DEFAULT 0"`
+	CollectImage     int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedImage   int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendImage   int `xorm:"NOT NULL DEFAULT 0"`
 }
 
 type UserBusinessAnalysisQueryOptions struct {
@@ -410,8 +430,10 @@ func refreshUserStaticTable(wikiCountMap map[string]int, tableName string, pageS
 	log.Info("truncate all data from table: " + tableName)
 	statictisSess.Exec("TRUNCATE TABLE " + tableName)
 
-	log.Info("pageStartTime:" + pageStartTime.Format("2006-01-02 15:04:05"))
-	log.Info("pageEndTime time:" + pageEndTime.Format("2006-01-02 15:04:05"))
+	StartTimeNextDay := pageStartTime.AddDate(0, 0, 1)
+	EndTimeNextDay := pageEndTime.AddDate(0, 0, 1)
+	log.Info("pageStartTime:" + pageStartTime.Format("2006-01-02 15:04:05") + " nextDay:" + StartTimeNextDay.Format("2006-01-02 15:04:05"))
+	log.Info("pageEndTime time:" + pageEndTime.Format("2006-01-02 15:04:05") + " nextDay:" + EndTimeNextDay.Format("2006-01-02 15:04:05"))
 
 	start_unix := pageStartTime.Unix()
 	end_unix := pageEndTime.Unix()
@@ -426,8 +448,8 @@ func refreshUserStaticTable(wikiCountMap map[string]int, tableName string, pageS
 	CommentCountMap := queryComment(start_unix, end_unix)
 	FocusRepoCountMap := queryWatch(start_unix, end_unix)
 	StarRepoCountMap := queryStar(start_unix, end_unix)
-	WatchedCountMap := queryFollow(start_unix, end_unix)
-	CommitCodeSizeMap := queryCommitCodeSize(start_unix, end_unix)
+	WatchedCountMap, WatchOtherMap := queryFollow(start_unix, end_unix)
+	CommitCodeSizeMap := queryCommitCodeSize(StartTimeNextDay.Unix(), EndTimeNextDay.Unix())
 	CommitDatasetSizeMap, CommitDatasetNumMap := queryDatasetSize(start_unix, end_unix)
 	SolveIssueCountMap := querySolveIssue(start_unix, end_unix)
 	CreateRepoCountMap := queryUserCreateRepo(start_unix, end_unix)
@@ -436,6 +458,12 @@ func refreshUserStaticTable(wikiCountMap map[string]int, tableName string, pageS
 	OpenIIndexMap := queryUserRepoOpenIIndex(startTime.Unix(), end_unix)
 	CloudBrainTaskMap, CloudBrainTaskItemMap := queryCloudBrainTask(start_unix, end_unix)
 	AiModelManageMap := queryUserModel(start_unix, end_unix)
+
+	CollectDataset, CollectedDataset := queryDatasetStars(start_unix, end_unix)
+	RecommendDataset := queryRecommedDataSet(start_unix, end_unix)
+	CollectImage, CollectedImage := queryImageStars(start_unix, end_unix)
+	RecommendImage := queryRecommedImage(start_unix, end_unix)
+
 	DataDate := currentTimeNow.Format("2006-01-02") + " 00:01"
 
 	cond := "type != 1 and is_active=true"
@@ -472,6 +500,7 @@ func refreshUserStaticTable(wikiCountMap map[string]int, tableName string, pageS
 			dateRecordAll.IssueCount = getMapValue(dateRecordAll.ID, IssueCountMap)
 			dateRecordAll.CommentCount = getMapValue(dateRecordAll.ID, CommentCountMap)
 			dateRecordAll.FocusRepoCount = getMapValue(dateRecordAll.ID, FocusRepoCountMap)
+			dateRecordAll.FocusOtherUser = getMapValue(dateRecordAll.ID, WatchOtherMap)
 			dateRecordAll.StarRepoCount = getMapValue(dateRecordAll.ID, StarRepoCountMap)
 			dateRecordAll.WatchedCount = getMapValue(dateRecordAll.ID, WatchedCountMap)
 			dateRecordAll.CommitCodeSize = getMapValue(dateRecordAll.ID, CommitCodeSizeMap)
@@ -496,13 +525,20 @@ func refreshUserStaticTable(wikiCountMap map[string]int, tableName string, pageS
 			dateRecordAll.NpuInferenceJob = getMapKeyStringValue(fmt.Sprint(dateRecordAll.ID)+"_NpuInferenceJob", CloudBrainTaskItemMap)
 			dateRecordAll.GpuBenchMarkJob = getMapKeyStringValue(fmt.Sprint(dateRecordAll.ID)+"_GpuBenchMarkJob", CloudBrainTaskItemMap)
 			dateRecordAll.CommitModelCount = getMapValue(dateRecordAll.ID, AiModelManageMap)
-			dateRecordAll.UserIndex = getUserIndexFromAnalysisAll(dateRecordAll, ParaWeight)
-			userIndexMap[dateRecordAll.ID] = dateRecordAll.UserIndex
-			if maxUserIndex < dateRecordAll.UserIndex {
-				maxUserIndex = dateRecordAll.UserIndex
+			dateRecordAll.CollectDataset = getMapValue(dateRecordAll.ID, CollectDataset)
+			dateRecordAll.CollectedDataset = getMapValue(dateRecordAll.ID, CollectedDataset)
+			dateRecordAll.RecommendDataset = getMapValue(dateRecordAll.ID, RecommendDataset)
+			dateRecordAll.CollectImage = getMapValue(dateRecordAll.ID, CollectImage)
+			dateRecordAll.CollectedImage = getMapValue(dateRecordAll.ID, CollectedImage)
+			dateRecordAll.RecommendImage = getMapValue(dateRecordAll.ID, RecommendImage)
+
+			dateRecordAll.UserIndexPrimitive = getUserIndexFromAnalysisAll(dateRecordAll, ParaWeight)
+			userIndexMap[dateRecordAll.ID] = dateRecordAll.UserIndexPrimitive
+			if maxUserIndex < dateRecordAll.UserIndexPrimitive {
+				maxUserIndex = dateRecordAll.UserIndexPrimitive
 			}
-			if minUserIndex > dateRecordAll.UserIndex {
-				minUserIndex = dateRecordAll.UserIndex
+			if minUserIndex > dateRecordAll.UserIndexPrimitive {
+				minUserIndex = dateRecordAll.UserIndexPrimitive
 			}
 			dateRecordBatch = append(dateRecordBatch, dateRecordAll)
 			if len(dateRecordBatch) >= BATCH_INSERT_SIZE {
@@ -552,7 +588,7 @@ func insertTable(dateRecords []UserBusinessAnalysisAll, tableName string, static
 
 	insertBatchSql := "INSERT INTO public." + tableName +
 		"(id, count_date, code_merge_count, commit_count, issue_count, comment_count, focus_repo_count, star_repo_count, watched_count, gitea_age_month, commit_code_size, commit_dataset_size, " +
-		"commit_model_count, solve_issue_count, encyclopedias_count, regist_date, create_repo_count, login_count, open_i_index, email, name, data_date,cloud_brain_task_num,gpu_debug_job,npu_debug_job,gpu_train_job,npu_train_job,npu_inference_job,gpu_bench_mark_job,cloud_brain_run_time,commit_dataset_num,user_index,user_location) " +
+		"commit_model_count, solve_issue_count, encyclopedias_count, regist_date, create_repo_count, login_count, open_i_index, email, name, data_date,cloud_brain_task_num,gpu_debug_job,npu_debug_job,gpu_train_job,npu_train_job,npu_inference_job,gpu_bench_mark_job,cloud_brain_run_time,commit_dataset_num,user_index,user_location,focus_other_user,collect_dataset,collected_dataset,recommend_dataset,collect_image,collected_image,recommend_image,user_index_primitive) " +
 		"VALUES"
 
 	for i, record := range dateRecords {
@@ -560,7 +596,8 @@ func insertTable(dateRecords []UserBusinessAnalysisAll, tableName string, static
 			", " + fmt.Sprint(record.IssueCount) + ", " + fmt.Sprint(record.CommentCount) + ", " + fmt.Sprint(record.FocusRepoCount) + ", " + fmt.Sprint(record.StarRepoCount) +
 			", " + fmt.Sprint(record.WatchedCount) + ", " + fmt.Sprint(record.GiteaAgeMonth) + ", " + fmt.Sprint(record.CommitCodeSize) + ", " + fmt.Sprint(record.CommitDatasetSize) +
 			", " + fmt.Sprint(record.CommitModelCount) + ", " + fmt.Sprint(record.SolveIssueCount) + ", " + fmt.Sprint(record.EncyclopediasCount) + ", " + fmt.Sprint(record.RegistDate) +
-			", " + fmt.Sprint(record.CreateRepoCount) + ", " + fmt.Sprint(record.LoginCount) + ", " + fmt.Sprint(record.OpenIIndex) + ", '" + record.Email + "', '" + record.Name + "', '" + record.DataDate + "'," + fmt.Sprint(record.CloudBrainTaskNum) + "," + fmt.Sprint(record.GpuDebugJob) + "," + fmt.Sprint(record.NpuDebugJob) + "," + fmt.Sprint(record.GpuTrainJob) + "," + fmt.Sprint(record.NpuTrainJob) + "," + fmt.Sprint(record.NpuInferenceJob) + "," + fmt.Sprint(record.GpuBenchMarkJob) + "," + fmt.Sprint(record.CloudBrainRunTime) + "," + fmt.Sprint(record.CommitDatasetNum) + "," + fmt.Sprint(record.UserIndex) + ",'" + record.UserLocation + "')"
+			", " + fmt.Sprint(record.CreateRepoCount) + ", " + fmt.Sprint(record.LoginCount) + ", " + fmt.Sprint(record.OpenIIndex) + ", '" + record.Email + "', '" + record.Name + "', '" + record.DataDate + "'," + fmt.Sprint(record.CloudBrainTaskNum) + "," + fmt.Sprint(record.GpuDebugJob) + "," + fmt.Sprint(record.NpuDebugJob) + "," + fmt.Sprint(record.GpuTrainJob) + "," + fmt.Sprint(record.NpuTrainJob) + "," + fmt.Sprint(record.NpuInferenceJob) + "," + fmt.Sprint(record.GpuBenchMarkJob) + "," + fmt.Sprint(record.CloudBrainRunTime) + "," + fmt.Sprint(record.CommitDatasetNum) + "," + fmt.Sprint(record.UserIndex) + ",'" + record.UserLocation + "'," +
+			fmt.Sprint(record.FocusOtherUser) + "," + fmt.Sprint(record.CollectDataset) + "," + fmt.Sprint(record.CollectedDataset) + "," + fmt.Sprint(record.RecommendDataset) + "," + fmt.Sprint(record.CollectImage) + "," + fmt.Sprint(record.CollectedImage) + "," + fmt.Sprint(record.RecommendImage) + "," + fmt.Sprint(record.UserIndexPrimitive) + ")"
 		if i < (len(dateRecords) - 1) {
 			insertBatchSql += ","
 		}
@@ -628,7 +665,7 @@ func CounDataByDateAndReCount(wikiCountMap map[string]int, startTime time.Time,
 	CommentCountMap := queryComment(start_unix, end_unix)
 	FocusRepoCountMap := queryWatch(start_unix, end_unix)
 	StarRepoCountMap := queryStar(start_unix, end_unix)
-	WatchedCountMap := queryFollow(start_unix, end_unix)
+	WatchedCountMap, WatchOtherMap := queryFollow(start_unix, end_unix)
 
 	CommitCodeSizeMap, err := GetAllUserKPIStats()
 	if err != nil {
@@ -643,6 +680,12 @@ func CounDataByDateAndReCount(wikiCountMap map[string]int, startTime time.Time,
 	OpenIIndexMap := queryUserRepoOpenIIndex(start_unix, end_unix)
 	CloudBrainTaskMap, CloudBrainTaskItemMap := queryCloudBrainTask(start_unix, end_unix)
 	AiModelManageMap := queryUserModel(start_unix, end_unix)
+
+	CollectDataset, CollectedDataset := queryDatasetStars(start_unix, end_unix)
+	RecommendDataset := queryRecommedDataSet(start_unix, end_unix)
+	CollectImage, CollectedImage := queryImageStars(start_unix, end_unix)
+	RecommendImage := queryRecommedImage(start_unix, end_unix)
+
 	statictisSess := xStatistic.NewSession()
 	defer statictisSess.Close()
 
@@ -683,13 +726,12 @@ func CounDataByDateAndReCount(wikiCountMap map[string]int, startTime time.Time,
 			dateRecord.FocusRepoCount = getMapValue(dateRecord.ID, FocusRepoCountMap)
 			dateRecord.StarRepoCount = getMapValue(dateRecord.ID, StarRepoCountMap)
 			dateRecord.WatchedCount = getMapValue(dateRecord.ID, WatchedCountMap)
-
+			dateRecord.FocusOtherUser = getMapValue(dateRecord.ID, WatchOtherMap)
 			if _, ok := CommitCodeSizeMap[dateRecord.Email]; !ok {
 				dateRecord.CommitCodeSize = 0
 			} else {
 				dateRecord.CommitCodeSize = int(CommitCodeSizeMap[dateRecord.Email].CommitLines)
 			}
-
 			dateRecord.CommitDatasetSize = getMapValue(dateRecord.ID, CommitDatasetSizeMap)
 			dateRecord.CommitDatasetNum = getMapValue(dateRecord.ID, CommitDatasetNumMap)
 			dateRecord.SolveIssueCount = getMapValue(dateRecord.ID, SolveIssueCountMap)
@@ -715,7 +757,15 @@ func CounDataByDateAndReCount(wikiCountMap map[string]int, startTime time.Time,
 			dateRecord.GpuBenchMarkJob = getMapKeyStringValue(fmt.Sprint(dateRecord.ID)+"_GpuBenchMarkJob", CloudBrainTaskItemMap)
 			dateRecord.CloudBrainRunTime = getMapKeyStringValue(fmt.Sprint(dateRecord.ID)+"_CloudBrainRunTime", CloudBrainTaskItemMap)
 			dateRecord.CommitModelCount = getMapValue(dateRecord.ID, AiModelManageMap)
-			dateRecord.UserIndex = getUserIndex(dateRecord, ParaWeight)
+
+			dateRecord.CollectDataset = getMapValue(dateRecord.ID, CollectDataset)
+			dateRecord.CollectedDataset = getMapValue(dateRecord.ID, CollectedDataset)
+			dateRecord.RecommendDataset = getMapValue(dateRecord.ID, RecommendDataset)
+			dateRecord.CollectImage = getMapValue(dateRecord.ID, CollectImage)
+			dateRecord.CollectedImage = getMapValue(dateRecord.ID, CollectedImage)
+			dateRecord.RecommendImage = getMapValue(dateRecord.ID, RecommendImage)
+
+			dateRecord.UserIndexPrimitive = getUserIndex(dateRecord, ParaWeight)
 			setUserMetrics(userMetrics, userRecord, start_unix, end_unix, dateRecord)
 			_, err = statictisSess.Insert(&dateRecord)
 			if err != nil {
@@ -765,7 +815,7 @@ func setUserMetrics(userMetrics map[string]int, user *User, start_time int64, en
 		userMetrics["TotalActivateRegistUser"] = getMapKeyStringValue("TotalActivateRegistUser", userMetrics) + 1
 	}
 
-	if dateRecord.UserIndex > 0 || dateRecord.LoginCount > 0 {
+	if getUserActivate(dateRecord) > 0 {
 		userMetrics["HasActivityUser"] = getMapKeyStringValue("HasActivityUser", userMetrics) + 1
 	}
 
@@ -802,7 +852,12 @@ func getUserIndexFromAnalysisAll(dateRecord UserBusinessAnalysisAll, ParaWeight
 	result += float64(dateRecord.StarRepoCount) * getParaWeightValue("StarRepoCount", ParaWeight, 0.1)
 	result += float64(dateRecord.LoginCount) * getParaWeightValue("LoginCount", ParaWeight, 0.1)
 	result += float64(dateRecord.WatchedCount) * getParaWeightValue("WatchedCount", ParaWeight, 0.3)
-	result += float64(dateRecord.CommitCodeSize) * getParaWeightValue("CommitCodeSize", ParaWeight, 0.1)
+	codeLine := float64(dateRecord.CommitCodeSize)
+	limitCodeLine := getParaWeightValue("LimitCommitCodeSize", ParaWeight, 1000)
+	if codeLine >= limitCodeLine {
+		codeLine = limitCodeLine
+	}
+	result += codeLine * getParaWeightValue("CommitCodeSize", ParaWeight, 0.01)
 	result += float64(dateRecord.SolveIssueCount) * getParaWeightValue("SolveIssueCount", ParaWeight, 0.2)
 	result += float64(dateRecord.EncyclopediasCount) * getParaWeightValue("EncyclopediasCount", ParaWeight, 0.1)
 	result += float64(dateRecord.CreateRepoCount) * getParaWeightValue("CreateRepoCount", ParaWeight, 0.05)
@@ -810,6 +865,34 @@ func getUserIndexFromAnalysisAll(dateRecord UserBusinessAnalysisAll, ParaWeight
 	result += float64(dateRecord.CommitModelCount) * getParaWeightValue("CommitModelCount", ParaWeight, 0.2)
 	result += dateRecord.OpenIIndex * getParaWeightValue("OpenIIndex", ParaWeight, 0.1)
 
+	result += float64(dateRecord.CollectDataset) * getParaWeightValue("CollectDataset", ParaWeight, 0.1)
+	result += float64(dateRecord.CollectedDataset) * getParaWeightValue("CollectedDataset", ParaWeight, 0.1)
+	result += float64(dateRecord.RecommendDataset) * getParaWeightValue("RecommendDataset", ParaWeight, 0.2)
+	result += float64(dateRecord.CollectImage) * getParaWeightValue("CollectImage", ParaWeight, 0.1)
+	result += float64(dateRecord.CollectedImage) * getParaWeightValue("CollectedImage", ParaWeight, 0.1)
+	result += float64(dateRecord.RecommendImage) * getParaWeightValue("RecommendImage", ParaWeight, 0.2)
+
+	return result
+}
+
+func getUserActivate(dateRecord UserBusinessAnalysis) int {
+	var result int
+	result += dateRecord.CodeMergeCount
+	result += dateRecord.CommitCount
+	result += dateRecord.IssueCount
+	result += dateRecord.CommentCount
+	result += dateRecord.FocusRepoCount
+	result += dateRecord.StarRepoCount
+	result += dateRecord.SolveIssueCount
+	result += dateRecord.EncyclopediasCount
+	result += dateRecord.CreateRepoCount
+	result += dateRecord.CloudBrainTaskNum
+	result += dateRecord.CommitModelCount
+	result += dateRecord.CommitDatasetNum
+	result += dateRecord.FocusOtherUser
+	result += dateRecord.CollectDataset
+	result += dateRecord.CollectImage
+	result += dateRecord.CommitCodeSize
 	return result
 }
 
@@ -831,12 +914,12 @@ func getUserIndex(dateRecord UserBusinessAnalysis, ParaWeight map[string]float64
 	result += float64(dateRecord.StarRepoCount) * getParaWeightValue("StarRepoCount", ParaWeight, 0.1)
 	result += float64(dateRecord.LoginCount) * getParaWeightValue("LoginCount", ParaWeight, 0.1)
 	result += float64(dateRecord.WatchedCount) * getParaWeightValue("WatchedCount", ParaWeight, 0.3)
-	codeLine := float64(dateRecord.CommitCodeSize) / 1000
-	limitCodeLine := getParaWeightValue("LimitCommitCodeSize", ParaWeight, 100)
+	codeLine := float64(dateRecord.CommitCodeSize)
+	limitCodeLine := getParaWeightValue("LimitCommitCodeSize", ParaWeight, 1000)
 	if codeLine >= limitCodeLine {
 		codeLine = limitCodeLine
 	}
-	result += codeLine * getParaWeightValue("CommitCodeSize", ParaWeight, 0.1)
+	result += codeLine * getParaWeightValue("CommitCodeSize", ParaWeight, 0.01)
 	result += float64(dateRecord.SolveIssueCount) * getParaWeightValue("SolveIssueCount", ParaWeight, 0.2)
 	result += float64(dateRecord.EncyclopediasCount) * getParaWeightValue("EncyclopediasCount", ParaWeight, 0.1)
 	result += float64(dateRecord.CreateRepoCount) * getParaWeightValue("CreateRepoCount", ParaWeight, 0.05)
@@ -844,6 +927,13 @@ func getUserIndex(dateRecord UserBusinessAnalysis, ParaWeight map[string]float64
 	result += float64(dateRecord.CommitModelCount) * getParaWeightValue("CommitModelCount", ParaWeight, 0.2)
 	result += dateRecord.OpenIIndex * getParaWeightValue("OpenIIndex", ParaWeight, 0.1)
 
+	result += float64(dateRecord.CollectDataset) * getParaWeightValue("CollectDataset", ParaWeight, 0.1)
+	result += float64(dateRecord.CollectedDataset) * getParaWeightValue("CollectedDataset", ParaWeight, 0.1)
+	result += float64(dateRecord.RecommendDataset) * getParaWeightValue("RecommendDataset", ParaWeight, 0.2)
+	result += float64(dateRecord.CollectImage) * getParaWeightValue("CollectImage", ParaWeight, 0.1)
+	result += float64(dateRecord.CollectedImage) * getParaWeightValue("CollectedImage", ParaWeight, 0.1)
+	result += float64(dateRecord.RecommendImage) * getParaWeightValue("RecommendImage", ParaWeight, 0.2)
+
 	return result
 }
 
@@ -1134,17 +1224,18 @@ func queryStar(start_unix int64, end_unix int64) map[int64]int {
 	return resultMap
 }
 
-func queryFollow(start_unix int64, end_unix int64) map[int64]int {
+func queryFollow(start_unix int64, end_unix int64) (map[int64]int, map[int64]int) {
 
 	sess := x.NewSession()
 	defer sess.Close()
 	resultMap := make(map[int64]int)
+	resultFocusedByOtherMap := make(map[int64]int)
 	cond := " created_unix>=" + fmt.Sprint(start_unix) + " and created_unix<=" + fmt.Sprint(end_unix)
 
 	count, err := sess.Where(cond).Count(new(Follow))
 	if err != nil {
 		log.Info("query follow error. return.")
-		return resultMap
+		return resultMap, resultFocusedByOtherMap
 	}
 	var indexTotal int64
 	indexTotal = 0
@@ -1160,6 +1251,11 @@ func queryFollow(start_unix int64, end_unix int64) map[int64]int {
 			} else {
 				resultMap[followRecord.FollowID] += 1
 			}
+			if _, ok := resultFocusedByOtherMap[followRecord.UserID]; !ok {
+				resultFocusedByOtherMap[followRecord.UserID] = 1
+			} else {
+				resultFocusedByOtherMap[followRecord.UserID] += 1
+			}
 		}
 
 		indexTotal += PAGE_SIZE
@@ -1168,7 +1264,215 @@ func queryFollow(start_unix int64, end_unix int64) map[int64]int {
 		}
 	}
 
-	return resultMap
+	return resultMap, resultFocusedByOtherMap
+}
+
+func queryRecommedDataSet(start_unix int64, end_unix int64) map[int64]int {
+	sess := x.NewSession()
+	defer sess.Close()
+	userIdDdatasetMap := make(map[int64]int)
+	cond := " created_unix>=" + fmt.Sprint(start_unix) + " and created_unix<=" + fmt.Sprint(end_unix) + " and recommend=true"
+	count, err := sess.Where(cond).Count(new(Dataset))
+	if err != nil {
+		log.Info("query recommend dataset error. return.")
+		return userIdDdatasetMap
+	}
+	var indexTotal int64
+	indexTotal = 0
+	for {
+		sess.Select("id,user_id,recommend").Where(cond).Table(new(Dataset)).OrderBy("id asc").Limit(PAGE_SIZE, int(indexTotal))
+		datasetList := make([]*Dataset, 0)
+		sess.Find(&datasetList)
+		log.Info("query datasetList size=" + fmt.Sprint(len(datasetList)))
+		for _, datasetRecord := range datasetList {
+			if _, ok := userIdDdatasetMap[datasetRecord.UserID]; !ok {
+				userIdDdatasetMap[datasetRecord.UserID] = 1
+			} else {
+				userIdDdatasetMap[datasetRecord.UserID] += 1
+			}
+		}
+		indexTotal += PAGE_SIZE
+		if indexTotal >= count {
+			break
+		}
+	}
+	return userIdDdatasetMap
+}
+
+func queryAllDataSet() (map[int64]int64, map[int64]int64) {
+	sess := x.NewSession()
+	defer sess.Close()
+	datasetUserIdMap := make(map[int64]int64)
+	userIdDdatasetMap := make(map[int64]int64)
+	count, err := sess.Count(new(Dataset))
+	if err != nil {
+		log.Info("query dataset error. return.")
+		return datasetUserIdMap, userIdDdatasetMap
+	}
+	var indexTotal int64
+	indexTotal = 0
+	for {
+		sess.Select("id,user_id").Table(new(Dataset)).OrderBy("id asc").Limit(PAGE_SIZE, int(indexTotal))
+		datasetList := make([]*Dataset, 0)
+		sess.Find(&datasetList)
+		log.Info("query datasetList size=" + fmt.Sprint(len(datasetList)))
+		for _, datasetRecord := range datasetList {
+			datasetUserIdMap[datasetRecord.ID] = datasetRecord.UserID
+			if _, ok := userIdDdatasetMap[datasetRecord.UserID]; !ok {
+				userIdDdatasetMap[datasetRecord.UserID] = 1
+			} else {
+				userIdDdatasetMap[datasetRecord.UserID] += 1
+			}
+		}
+		indexTotal += PAGE_SIZE
+		if indexTotal >= count {
+			break
+		}
+	}
+	return datasetUserIdMap, userIdDdatasetMap
+}
+
+func queryRecommedImage(start_unix int64, end_unix int64) map[int64]int {
+	sess := x.NewSession()
+	defer sess.Close()
+	userIdImageMap := make(map[int64]int)
+	cond := " created_unix>=" + fmt.Sprint(start_unix) + " and created_unix<=" + fmt.Sprint(end_unix) + " and type=5"
+	count, err := sess.Where(cond).Count(new(Image))
+	if err != nil {
+		log.Info("query recommend image error. return.")
+		return userIdImageMap
+	}
+	var indexTotal int64
+	indexTotal = 0
+	for {
+		sess.Select("id,uid,type").Where(cond).Table(new(Image)).OrderBy("id asc").Limit(PAGE_SIZE, int(indexTotal))
+		imageList := make([]*Image, 0)
+		sess.Find(&imageList)
+		log.Info("query imageList size=" + fmt.Sprint(len(imageList)))
+		for _, imageRecord := range imageList {
+			if _, ok := userIdImageMap[imageRecord.UID]; !ok {
+				userIdImageMap[imageRecord.UID] = 1
+			} else {
+				userIdImageMap[imageRecord.UID] += 1
+			}
+		}
+		indexTotal += PAGE_SIZE
+		if indexTotal >= count {
+			break
+		}
+	}
+	return userIdImageMap
+}
+
+func queryAllImage() (map[int64]int64, map[int64]int64) {
+	sess := x.NewSession()
+	defer sess.Close()
+	imageUserIdMap := make(map[int64]int64)
+	userIdDImageMap := make(map[int64]int64)
+	count, err := sess.Count(new(Image))
+	if err != nil {
+		log.Info("query image error. return.")
+		return imageUserIdMap, userIdDImageMap
+	}
+	var indexTotal int64
+	indexTotal = 0
+	for {
+		sess.Select("id,uid").Table(new(Image)).OrderBy("id asc").Limit(PAGE_SIZE, int(indexTotal))
+		imageList := make([]*Image, 0)
+		sess.Find(&imageList)
+		log.Info("query imageList size=" + fmt.Sprint(len(imageList)))
+		for _, imageRecord := range imageList {
+			imageUserIdMap[imageRecord.ID] = imageRecord.UID
+			if _, ok := userIdDImageMap[imageRecord.UID]; !ok {
+				userIdDImageMap[imageRecord.UID] = 1
+			} else {
+				userIdDImageMap[imageRecord.UID] += 1
+			}
+		}
+		indexTotal += PAGE_SIZE
+		if indexTotal >= count {
+			break
+		}
+	}
+	return imageUserIdMap, userIdDImageMap
+}
+
+func queryDatasetStars(start_unix int64, end_unix int64) (map[int64]int, map[int64]int) {
+	sess := x.NewSession()
+	defer sess.Close()
+	datasetCollect := make(map[int64]int)
+	datasetCollected := make(map[int64]int)
+	datasetUserIdMap, _ := queryAllDataSet()
+	cond := " created_unix>=" + fmt.Sprint(start_unix) + " and created_unix<=" + fmt.Sprint(end_unix)
+	count, err := sess.Where(cond).Count(new(DatasetStar))
+	if err != nil {
+		log.Info("query follow error. return.")
+		return datasetCollect, datasetCollected
+	}
+	var indexTotal int64
+	indexTotal = 0
+	for {
+		sess.Select("id,uid,dataset_id").Table(new(DatasetStar)).Where(cond).OrderBy("id asc").Limit(PAGE_SIZE, int(indexTotal))
+		datasetStarList := make([]*DatasetStar, 0)
+		sess.Find(&datasetStarList)
+		log.Info("query datasetStarList size=" + fmt.Sprint(len(datasetStarList)))
+		for _, datasetStarRecord := range datasetStarList {
+			if _, ok := datasetCollect[datasetStarRecord.UID]; !ok {
+				datasetCollect[datasetStarRecord.UID] = 1
+			} else {
+				datasetCollect[datasetStarRecord.UID] += 1
+			}
+			if _, ok := datasetCollected[datasetUserIdMap[datasetStarRecord.DatasetID]]; !ok {
+				datasetCollected[datasetUserIdMap[datasetStarRecord.DatasetID]] = 1
+			} else {
+				datasetCollected[datasetUserIdMap[datasetStarRecord.DatasetID]] += 1
+			}
+		}
+		indexTotal += PAGE_SIZE
+		if indexTotal >= count {
+			break
+		}
+	}
+	return datasetCollect, datasetCollected
+}
+
+func queryImageStars(start_unix int64, end_unix int64) (map[int64]int, map[int64]int) {
+	sess := x.NewSession()
+	defer sess.Close()
+	imageCollect := make(map[int64]int)
+	imageCollected := make(map[int64]int)
+	imageUserIdMap, _ := queryAllDataSet()
+	cond := " created_unix>=" + fmt.Sprint(start_unix) + " and created_unix<=" + fmt.Sprint(end_unix)
+	count, err := sess.Where(cond).Count(new(ImageStar))
+	if err != nil {
+		log.Info("query follow error. return.")
+		return imageCollect, imageCollected
+	}
+	var indexTotal int64
+	indexTotal = 0
+	for {
+		sess.Select("id,uid,dataset_id").Table(new(ImageStar)).Where(cond).OrderBy("id asc").Limit(PAGE_SIZE, int(indexTotal))
+		imageStarList := make([]*ImageStar, 0)
+		sess.Find(&imageStarList)
+		log.Info("query imageStarList size=" + fmt.Sprint(len(imageStarList)))
+		for _, imageStarRecord := range imageStarList {
+			if _, ok := imageCollect[imageStarRecord.UID]; !ok {
+				imageCollect[imageStarRecord.UID] = 1
+			} else {
+				imageCollect[imageStarRecord.UID] += 1
+			}
+			if _, ok := imageCollected[imageUserIdMap[imageStarRecord.ImageID]]; !ok {
+				imageCollected[imageUserIdMap[imageStarRecord.ImageID]] = 1
+			} else {
+				imageCollected[imageUserIdMap[imageStarRecord.ImageID]] += 1
+			}
+		}
+		indexTotal += PAGE_SIZE
+		if indexTotal >= count {
+			break
+		}
+	}
+	return imageCollect, imageCollected
 }
 
 func queryDatasetSize(start_unix int64, end_unix int64) (map[int64]int, map[int64]int) {

models/user_business_struct.go

@@ -45,17 +45,26 @@ type UserBusinessAnalysisCurrentYear struct {
 	Name     string `xorm:"NOT NULL"`
 	DataDate string `xorm:"NULL"`
 
-	CloudBrainTaskNum int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuInferenceJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuBenchMarkJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	CloudBrainRunTime int     `xorm:"NOT NULL DEFAULT 0"`
-	CommitDatasetNum  int     `xorm:"NOT NULL DEFAULT 0"`
-	UserIndex         float64 `xorm:"NOT NULL DEFAULT 0"`
-	UserLocation      string  `xorm:"NULL"`
+	CloudBrainTaskNum  int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuInferenceJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuBenchMarkJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	CloudBrainRunTime  int     `xorm:"NOT NULL DEFAULT 0"`
+	CommitDatasetNum   int     `xorm:"NOT NULL DEFAULT 0"`
+	UserIndex          float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserIndexPrimitive float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserLocation       string  `xorm:"NULL"`
+
+	FocusOtherUser   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectDataset   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedDataset int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendDataset int `xorm:"NOT NULL DEFAULT 0"`
+	CollectImage     int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedImage   int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendImage   int `xorm:"NOT NULL DEFAULT 0"`
 }
 
 type UserBusinessAnalysisLast30Day struct {
@@ -101,17 +110,26 @@ type UserBusinessAnalysisLast30Day struct {
 	Name     string `xorm:"NOT NULL"`
 	DataDate string `xorm:"NULL"`
 
-	CloudBrainTaskNum int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuInferenceJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuBenchMarkJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	CloudBrainRunTime int     `xorm:"NOT NULL DEFAULT 0"`
-	CommitDatasetNum  int     `xorm:"NOT NULL DEFAULT 0"`
-	UserIndex         float64 `xorm:"NOT NULL DEFAULT 0"`
-	UserLocation      string  `xorm:"NULL"`
+	CloudBrainTaskNum  int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuInferenceJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuBenchMarkJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	CloudBrainRunTime  int     `xorm:"NOT NULL DEFAULT 0"`
+	CommitDatasetNum   int     `xorm:"NOT NULL DEFAULT 0"`
+	UserIndex          float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserIndexPrimitive float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserLocation       string  `xorm:"NULL"`
+
+	FocusOtherUser   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectDataset   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedDataset int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendDataset int `xorm:"NOT NULL DEFAULT 0"`
+	CollectImage     int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedImage   int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendImage   int `xorm:"NOT NULL DEFAULT 0"`
 }
 
 type UserBusinessAnalysisLastMonth struct {
@@ -157,17 +175,26 @@ type UserBusinessAnalysisLastMonth struct {
 	Name     string `xorm:"NOT NULL"`
 	DataDate string `xorm:"NULL"`
 
-	CloudBrainTaskNum int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuInferenceJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuBenchMarkJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	CloudBrainRunTime int     `xorm:"NOT NULL DEFAULT 0"`
-	CommitDatasetNum  int     `xorm:"NOT NULL DEFAULT 0"`
-	UserIndex         float64 `xorm:"NOT NULL DEFAULT 0"`
-	UserLocation      string  `xorm:"NULL"`
+	CloudBrainTaskNum  int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuInferenceJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuBenchMarkJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	CloudBrainRunTime  int     `xorm:"NOT NULL DEFAULT 0"`
+	CommitDatasetNum   int     `xorm:"NOT NULL DEFAULT 0"`
+	UserIndex          float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserIndexPrimitive float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserLocation       string  `xorm:"NULL"`
+
+	FocusOtherUser   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectDataset   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedDataset int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendDataset int `xorm:"NOT NULL DEFAULT 0"`
+	CollectImage     int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedImage   int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendImage   int `xorm:"NOT NULL DEFAULT 0"`
 }
 
 type UserBusinessAnalysisCurrentMonth struct {
@@ -213,17 +240,26 @@ type UserBusinessAnalysisCurrentMonth struct {
 	Name     string `xorm:"NOT NULL"`
 	DataDate string `xorm:"NULL"`
 
-	CloudBrainTaskNum int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuInferenceJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuBenchMarkJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	CloudBrainRunTime int     `xorm:"NOT NULL DEFAULT 0"`
-	CommitDatasetNum  int     `xorm:"NOT NULL DEFAULT 0"`
-	UserIndex         float64 `xorm:"NOT NULL DEFAULT 0"`
-	UserLocation      string  `xorm:"NULL"`
+	CloudBrainTaskNum  int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuInferenceJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuBenchMarkJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	CloudBrainRunTime  int     `xorm:"NOT NULL DEFAULT 0"`
+	CommitDatasetNum   int     `xorm:"NOT NULL DEFAULT 0"`
+	UserIndex          float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserIndexPrimitive float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserLocation       string  `xorm:"NULL"`
+
+	FocusOtherUser   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectDataset   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedDataset int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendDataset int `xorm:"NOT NULL DEFAULT 0"`
+	CollectImage     int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedImage   int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendImage   int `xorm:"NOT NULL DEFAULT 0"`
 }
 
 type UserBusinessAnalysisCurrentWeek struct {
@@ -269,17 +305,27 @@ type UserBusinessAnalysisCurrentWeek struct {
 	Name     string `xorm:"NOT NULL"`
 	DataDate string `xorm:"NULL"`
 
-	CloudBrainTaskNum int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuInferenceJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuBenchMarkJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	CloudBrainRunTime int     `xorm:"NOT NULL DEFAULT 0"`
-	CommitDatasetNum  int     `xorm:"NOT NULL DEFAULT 0"`
-	UserIndex         float64 `xorm:"NOT NULL DEFAULT 0"`
-	UserLocation      string  `xorm:"NULL"`
+	CloudBrainTaskNum  int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuInferenceJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuBenchMarkJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	CloudBrainRunTime  int     `xorm:"NOT NULL DEFAULT 0"`
+	CommitDatasetNum   int     `xorm:"NOT NULL DEFAULT 0"`
+	UserIndex          float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserIndexPrimitive float64 `xorm:"NOT NULL DEFAULT 0"`
+
+	UserLocation string `xorm:"NULL"`
+
+	FocusOtherUser   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectDataset   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedDataset int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendDataset int `xorm:"NOT NULL DEFAULT 0"`
+	CollectImage     int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedImage   int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendImage   int `xorm:"NOT NULL DEFAULT 0"`
 }
 
 type UserBusinessAnalysisYesterday struct {
@@ -325,17 +371,27 @@ type UserBusinessAnalysisYesterday struct {
 	Name     string `xorm:"NOT NULL"`
 	DataDate string `xorm:"NULL"`
 
-	CloudBrainTaskNum int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuDebugJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuTrainJob       int     `xorm:"NOT NULL DEFAULT 0"`
-	NpuInferenceJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	GpuBenchMarkJob   int     `xorm:"NOT NULL DEFAULT 0"`
-	CloudBrainRunTime int     `xorm:"NOT NULL DEFAULT 0"`
-	CommitDatasetNum  int     `xorm:"NOT NULL DEFAULT 0"`
-	UserIndex         float64 `xorm:"NOT NULL DEFAULT 0"`
-	UserLocation      string  `xorm:"NULL"`
+	CloudBrainTaskNum  int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuDebugJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuTrainJob        int     `xorm:"NOT NULL DEFAULT 0"`
+	NpuInferenceJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	GpuBenchMarkJob    int     `xorm:"NOT NULL DEFAULT 0"`
+	CloudBrainRunTime  int     `xorm:"NOT NULL DEFAULT 0"`
+	CommitDatasetNum   int     `xorm:"NOT NULL DEFAULT 0"`
+	UserIndex          float64 `xorm:"NOT NULL DEFAULT 0"`
+	UserIndexPrimitive float64 `xorm:"NOT NULL DEFAULT 0"`
+
+	UserLocation string `xorm:"NULL"`
+
+	FocusOtherUser   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectDataset   int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedDataset int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendDataset int `xorm:"NOT NULL DEFAULT 0"`
+	CollectImage     int `xorm:"NOT NULL DEFAULT 0"`
+	CollectedImage   int `xorm:"NOT NULL DEFAULT 0"`
+	RecommendImage   int `xorm:"NOT NULL DEFAULT 0"`
 }
 
 type UserAnalysisPara struct {

options/locale/locale_en-US.ini

@@ -507,8 +507,16 @@ static.CloudBrainTaskNum=CloudBrain Task Count
 static.CloudBrainRunTime=CloudBrain Run Time
 static.CommitDatasetNum=Commit Dataset Count
 static.CommitModelCount=Commit Model Count
-static.UserIndex=User Index
+static.UserIndex=Normalized user index
+static.UserIndexPrimitive=User Index
 static.countdate=Count Date
+static.FocusOtherUser=Focus Other User Count
+static.CollectDataset=Collect Dataset Count
+static.CollectedDataset=Collected Dataset Count
+static.RecommendDataset=Recommended Dataset Count
+static.CollectImage=Collect Image Count
+static.CollectedImage=Collected Image Count
+static.RecommendImage=Recommended Image Count
 static.all=All
 static.public.user_business_analysis_current_month=Current_Month
 static.public.user_business_analysis_current_week=Current_Week

options/locale/locale_zh-CN.ini

@@ -512,8 +512,16 @@ static.CloudBrainTaskNum=云脑任务数
 static.CloudBrainRunTime=云脑运行时间（小时）
 static.CommitDatasetNum=上传（提交）数据集文件数
 static.CommitModelCount=提交模型数
-static.UserIndex=用户指数
+static.UserIndex=归一化用户指数
+static.UserIndexPrimitive=用户指数
 static.countdate=系统统计时间
+static.FocusOtherUser=关注他人数
+static.CollectDataset=收藏数据集
+static.CollectedDataset=被收藏数据集
+static.RecommendDataset=被推荐数据集数
+static.CollectImage=收藏镜像数
+static.CollectedImage=被收藏镜像数
+static.RecommendImage=被推荐镜像数
 static.all=所有
 static.public.user_business_analysis_current_month=本月
 static.public.user_business_analysis_current_week=本周

public/home/search.js

@@ -810,14 +810,7 @@ var repoAndOrgEN={
 function page(current){
     
     currentPage=current;
-    startIndex = currentPage -1;
-    if(startIndex < 1){
-        startIndex = 1;
-    }
-    endIndex = currentPage + 2;
-    if(endIndex >= totalPage){
-        endIndex = totalPage;
-    }
+   
     doSearch(currentSearchTableName,currentSearchKeyword,current,pageSize,false,currentSearchSortBy,OnlySearchLabel);
   }
   
@@ -888,9 +881,14 @@ function getYPosition(e){
     var html ="";
     console.log("currentPage=" + currentPage);
     console.log("privateTotal=" + privateTotal);
-    // if(totalPage==0){
-    //     return;
-    // }
+    startIndex = currentPage -1;
+    if(startIndex < 1){
+        startIndex = 1;
+    }
+    endIndex = currentPage + 2;
+    if(endIndex >= totalPage){
+        endIndex = totalPage;
+    }
     html += "<span class=\"item\">" + getLabel(isZh,"search_input_total") + " " + totalNum + " " + getLabel(isZh,"search_srtip") + "</span>"
     if(currentPage > 1){
         html += "<a class=\"item navigation\" href=\"javascript:page(1)\"><span class=\"navigation_label\">" + getLabel(isZh,"search_home_page") + "</span></a>";

routers/repo/user_data_analysis.go

@@ -19,6 +19,130 @@ const (
 	PAGE_SIZE = 2000
 )
 
+func getExcelHeader(ctx *context.Context) map[string]string {
+	excelHeader := make([]string, 0)
+	excelHeader = append(excelHeader, ctx.Tr("user.static.id"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.name"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.UserIndex"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.UserIndexPrimitive"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.codemergecount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.commitcount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.issuecount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.commentcount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.focusrepocount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.starrepocount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.logincount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.watchedcount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.commitcodesize"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.solveissuecount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.encyclopediascount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.createrepocount"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.openiindex"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.CloudBrainTaskNum"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.CloudBrainRunTime"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.CommitDatasetNum"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.CommitModelCount"))
+
+	excelHeader = append(excelHeader, ctx.Tr("user.static.FocusOtherUser"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.CollectDataset"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.CollectedDataset"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.RecommendDataset"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.CollectImage"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.CollectedImage"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.RecommendImage"))
+
+	excelHeader = append(excelHeader, ctx.Tr("user.static.registdate"))
+	excelHeader = append(excelHeader, ctx.Tr("user.static.countdate"))
+
+	excelHeaderMap := make(map[string]string, 0)
+	var i byte
+	i = 0
+	for _, value := range excelHeader {
+		excelColumn := getColumn(i) + fmt.Sprint(1)
+		log.Info("excelColumn=" + excelColumn)
+		excelHeaderMap[excelColumn] = value
+		i++
+	}
+	return excelHeaderMap
+}
+
+func writeExcel(row int, xlsx *excelize.File, sheetName string, userRecord *models.UserBusinessAnalysisAll) {
+	rows := fmt.Sprint(row)
+	var tmp byte
+	tmp = 0
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.ID)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.Name)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, fmt.Sprintf("%.2f", userRecord.UserIndex))
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, fmt.Sprintf("%.2f", userRecord.UserIndexPrimitive))
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CodeMergeCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CommitCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.IssueCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CommentCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.FocusRepoCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.StarRepoCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.LoginCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.WatchedCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CommitCodeSize)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.SolveIssueCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.EncyclopediasCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CreateRepoCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, fmt.Sprintf("%.2f", userRecord.OpenIIndex))
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CloudBrainTaskNum)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, fmt.Sprintf("%.2f", float64(userRecord.CloudBrainRunTime)/3600))
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CommitDatasetNum)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CommitModelCount)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.FocusOtherUser)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CollectDataset)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CollectedDataset)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.RecommendDataset)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CollectImage)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.CollectedImage)
+	tmp = tmp + 1
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, userRecord.RecommendImage)
+	tmp = tmp + 1
+	formatTime := userRecord.RegistDate.Format("2006-01-02 15:04:05")
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, formatTime[0:len(formatTime)-3])
+	tmp = tmp + 1
+
+	formatTime = userRecord.DataDate
+	xlsx.SetCellValue(sheetName, getColumn(tmp)+rows, formatTime)
+}
+func getColumn(tmp byte) string {
+	var tmpA byte
+	tmpA = 'A'
+	if tmp < 26 {
+		return string(tmpA + tmp)
+	} else {
+		return "A" + string(tmpA+(tmp-26))
+	}
+}
+
 func queryUserDataPage(ctx *context.Context, tableName string, queryObj interface{}) {
 	page := ctx.QueryInt("page")
 	if page <= 0 {
@@ -37,30 +161,7 @@ func queryUserDataPage(ctx *context.Context, tableName string, queryObj interfac
 		sheetName := ctx.Tr("user.static.sheetname")
 		index := xlsx.NewSheet(sheetName)
 		xlsx.DeleteSheet("Sheet1")
-		dataHeader := map[string]string{
-			"A1": ctx.Tr("user.static.id"),
-			"B1": ctx.Tr("user.static.name"),
-			"C1": ctx.Tr("user.static.UserIndex"),
-			"D1": ctx.Tr("user.static.codemergecount"),
-			"E1": ctx.Tr("user.static.commitcount"),
-			"F1": ctx.Tr("user.static.issuecount"),
-			"G1": ctx.Tr("user.static.commentcount"),
-			"H1": ctx.Tr("user.static.focusrepocount"),
-			"I1": ctx.Tr("user.static.starrepocount"),
-			"J1": ctx.Tr("user.static.logincount"),
-			"K1": ctx.Tr("user.static.watchedcount"),
-			"L1": ctx.Tr("user.static.commitcodesize"),
-			"M1": ctx.Tr("user.static.solveissuecount"),
-			"N1": ctx.Tr("user.static.encyclopediascount"),
-			"O1": ctx.Tr("user.static.createrepocount"),
-			"P1": ctx.Tr("user.static.openiindex"),
-			"Q1": ctx.Tr("user.static.CloudBrainTaskNum"),
-			"R1": ctx.Tr("user.static.CloudBrainRunTime"),
-			"S1": ctx.Tr("user.static.CommitDatasetNum"),
-			"T1": ctx.Tr("user.static.CommitModelCount"),
-			"U1": ctx.Tr("user.static.registdate"),
-			"V1": ctx.Tr("user.static.countdate"),
-		}
+		dataHeader := getExcelHeader(ctx)
 		for k, v := range dataHeader {
 			//设置单元格的值
 			xlsx.SetCellValue(sheetName, k, v)
@@ -74,31 +175,7 @@ func queryUserDataPage(ctx *context.Context, tableName string, queryObj interfac
 			log.Info("return count=" + fmt.Sprint(count))
 			for _, userRecord := range re {
 				row++
-				rows := fmt.Sprint(row)
-				xlsx.SetCellValue(sheetName, "A"+rows, userRecord.ID)
-				xlsx.SetCellValue(sheetName, "B"+rows, userRecord.Name)
-				xlsx.SetCellValue(sheetName, "C"+rows, fmt.Sprintf("%.2f", userRecord.UserIndex))
-				xlsx.SetCellValue(sheetName, "D"+rows, userRecord.CodeMergeCount)
-				xlsx.SetCellValue(sheetName, "E"+rows, userRecord.CommitCount)
-				xlsx.SetCellValue(sheetName, "F"+rows, userRecord.IssueCount)
-				xlsx.SetCellValue(sheetName, "G"+rows, userRecord.CommentCount)
-				xlsx.SetCellValue(sheetName, "H"+rows, userRecord.FocusRepoCount)
-				xlsx.SetCellValue(sheetName, "I"+rows, userRecord.StarRepoCount)
-				xlsx.SetCellValue(sheetName, "J"+rows, userRecord.LoginCount)
-				xlsx.SetCellValue(sheetName, "K"+rows, userRecord.WatchedCount)
-				xlsx.SetCellValue(sheetName, "L"+rows, userRecord.CommitCodeSize)
-				xlsx.SetCellValue(sheetName, "M"+rows, userRecord.SolveIssueCount)
-				xlsx.SetCellValue(sheetName, "N"+rows, userRecord.EncyclopediasCount)
-				xlsx.SetCellValue(sheetName, "O"+rows, userRecord.CreateRepoCount)
-				xlsx.SetCellValue(sheetName, "P"+rows, fmt.Sprintf("%.2f", userRecord.OpenIIndex))
-				xlsx.SetCellValue(sheetName, "Q"+rows, userRecord.CloudBrainTaskNum)
-				xlsx.SetCellValue(sheetName, "R"+rows, fmt.Sprintf("%.2f", float64(userRecord.CloudBrainRunTime)/3600))
-				xlsx.SetCellValue(sheetName, "S"+rows, userRecord.CommitDatasetNum)
-				xlsx.SetCellValue(sheetName, "T"+rows, userRecord.CommitModelCount)
-				formatTime := userRecord.RegistDate.Format("2006-01-02 15:04:05")
-				xlsx.SetCellValue(sheetName, "U"+rows, formatTime[0:len(formatTime)-3])
-				formatTime = userRecord.DataDate
-				xlsx.SetCellValue(sheetName, "V"+rows, formatTime)
+				writeExcel(row, xlsx, sheetName, userRecord)
 			}
 
 			indexTotal += PAGE_SIZE
@@ -236,62 +313,16 @@ func QueryUserStaticDataPage(ctx *context.Context) {
 		sheetName := ctx.Tr("user.static.sheetname")
 		index := xlsx.NewSheet(sheetName)
 		xlsx.DeleteSheet("Sheet1")
-		dataHeader := map[string]string{
-			"A1": ctx.Tr("user.static.id"),
-			"B1": ctx.Tr("user.static.name"),
-			"C1": ctx.Tr("user.static.UserIndex"),
-			"D1": ctx.Tr("user.static.codemergecount"),
-			"E1": ctx.Tr("user.static.commitcount"),
-			"F1": ctx.Tr("user.static.issuecount"),
-			"G1": ctx.Tr("user.static.commentcount"),
-			"H1": ctx.Tr("user.static.focusrepocount"),
-			"I1": ctx.Tr("user.static.starrepocount"),
-			"J1": ctx.Tr("user.static.logincount"),
-			"K1": ctx.Tr("user.static.watchedcount"),
-			"L1": ctx.Tr("user.static.commitcodesize"),
-			"M1": ctx.Tr("user.static.solveissuecount"),
-			"N1": ctx.Tr("user.static.encyclopediascount"),
-			"O1": ctx.Tr("user.static.createrepocount"),
-			"P1": ctx.Tr("user.static.openiindex"),
-			"Q1": ctx.Tr("user.static.CloudBrainTaskNum"),
-			"R1": ctx.Tr("user.static.CloudBrainRunTime"),
-			"S1": ctx.Tr("user.static.CommitDatasetNum"),
-			"T1": ctx.Tr("user.static.CommitModelCount"),
-			"U1": ctx.Tr("user.static.registdate"),
-			"V1": ctx.Tr("user.static.countdate"),
-		}
+
+		dataHeader := getExcelHeader(ctx)
 		for k, v := range dataHeader {
 			//设置单元格的值
 			xlsx.SetCellValue(sheetName, k, v)
 		}
 
 		for i, userRecord := range re {
-			rows := fmt.Sprint(i + 2)
-
-			xlsx.SetCellValue(sheetName, "A"+rows, userRecord.ID)
-			xlsx.SetCellValue(sheetName, "B"+rows, userRecord.Name)
-			xlsx.SetCellValue(sheetName, "C"+rows, fmt.Sprintf("%.2f", userRecord.UserIndex))
-			xlsx.SetCellValue(sheetName, "D"+rows, userRecord.CodeMergeCount)
-			xlsx.SetCellValue(sheetName, "E"+rows, userRecord.CommitCount)
-			xlsx.SetCellValue(sheetName, "F"+rows, userRecord.IssueCount)
-			xlsx.SetCellValue(sheetName, "G"+rows, userRecord.CommentCount)
-			xlsx.SetCellValue(sheetName, "H"+rows, userRecord.FocusRepoCount)
-			xlsx.SetCellValue(sheetName, "I"+rows, userRecord.StarRepoCount)
-			xlsx.SetCellValue(sheetName, "J"+rows, userRecord.LoginCount)
-			xlsx.SetCellValue(sheetName, "K"+rows, userRecord.WatchedCount)
-			xlsx.SetCellValue(sheetName, "L"+rows, userRecord.CommitCodeSize)
-			xlsx.SetCellValue(sheetName, "M"+rows, userRecord.SolveIssueCount)
-			xlsx.SetCellValue(sheetName, "N"+rows, userRecord.EncyclopediasCount)
-			xlsx.SetCellValue(sheetName, "O"+rows, userRecord.CreateRepoCount)
-			xlsx.SetCellValue(sheetName, "P"+rows, fmt.Sprintf("%.2f", userRecord.OpenIIndex))
-			xlsx.SetCellValue(sheetName, "Q"+rows, userRecord.CloudBrainTaskNum)
-			xlsx.SetCellValue(sheetName, "R"+rows, fmt.Sprintf("%.2f", float64(userRecord.CloudBrainRunTime)/3600))
-			xlsx.SetCellValue(sheetName, "S"+rows, userRecord.CommitDatasetNum)
-			xlsx.SetCellValue(sheetName, "T"+rows, userRecord.CommitModelCount)
-			formatTime := userRecord.RegistDate.Format("2006-01-02 15:04:05")
-			xlsx.SetCellValue(sheetName, "U"+rows, formatTime[0:len(formatTime)-3])
-			formatTime = userRecord.DataDate
-			xlsx.SetCellValue(sheetName, "V"+rows, formatTime)
+			row := i + 2
+			writeExcel(row, xlsx, sheetName, userRecord)
 		}
 
 		//设置默认打开的表单

web_src/js/components/UserAnalysis.vue

@@ -64,7 +64,7 @@
                 </el-table-column>
                 <el-table-column
                     prop="UserIndex"
-                    label="用户指数"
+                    label="归一化用户指数"
                     width="120px"
                     align="center">
                     <template slot-scope="scope">
@@ -72,6 +72,15 @@
                     </template>
                 </el-table-column> 
                 <el-table-column
+                    prop="UserIndexPrimitive"
+                    label="用户指数"
+                    width="120px"
+                    align="center">
+                    <template slot-scope="scope">
+                            {{scope.row.UserIndexPrimitive | rounding}}
+                    </template>
+                </el-table-column> 
+                <el-table-column
                     prop="CodeMergeCount"
                     label="PR数"
                     align="center">
@@ -161,6 +170,48 @@
                     width="120px"
                     align="center">
                 </el-table-column> 
+                <el-table-column
+                    prop="FocusOtherUser"
+                    label="关注他人数"
+                    width="120px"
+                    align="center">
+                </el-table-column> 
+                <el-table-column
+                    prop="CollectDataset"
+                    label="收藏数据集"
+                    width="120px"
+                    align="center">
+                </el-table-column> 
+                <el-table-column
+                    prop="CollectedDataset"
+                    label="被收藏数据集"
+                    width="120px"
+                    align="center">
+                </el-table-column> 
+                <el-table-column
+                    prop="RecommendDataset"
+                    label="被推荐数据集数"
+                    width="120px"
+                    align="center">
+                </el-table-column> 
+                <el-table-column
+                    prop="CollectImage"
+                    label="收藏镜像数"
+                    width="120px"
+                    align="center">
+                </el-table-column> 
+                <el-table-column
+                    prop="CollectedImage"
+                    label="被收藏镜像数"
+                    width="120px"
+                    align="center">
+                </el-table-column> 
+                <el-table-column
+                    prop="RecommendImage"
+                    label="被推荐镜像数"
+                    width="120px"
+                    align="center">
+                </el-table-column> 
                  <el-table-column
                     prop="RegistDate"
                     label="用户注册时间"
@@ -214,7 +265,7 @@
                 value_time: '',
                 search:'',
                 data:'',
-                columns: [{title: 'ID',key: 'ID'},{title: '用户名',key: 'Name'},{title: 'PR数',key: 'CodeMergeCount'},{title: 'commit数',key:'CommitCount'},{title: '提出任务数',key: 'IssueCount'},{title: '评论数',key: 'CommentCount'},{title: '关注项目数',key: 'FocusRepoCount'},{title: '点赞项目数',key: 'StarRepoCount'},{title: '登录次数',key: 'LoginCount'},{title:'关注者数',key:'WatchedCount'},{title:'commit代码行数',key:'CommitCodeSize'},{title:'已解决任务数',key:'SolveIssueCount'},{title:'百科页面贡献次数',key:'EncyclopediasCount'},{title:'创建项目',key:'CreateRepoCount'},{title:'用户注册时间',key:'RegistDate'},{title:'云脑任务数',key:'CloudBrainTaskNum'},{title:'云脑运行时间（小时）',key:'CloudBrainRunTime'},{title:'上传（提交）数据集文件数',key:'CommitDatasetNum'},{title:'提交模型数',key:'CommitModelCount'},{title:'用户指数',key:'UserIndex'},{title:'系统统计时间',key:'CountDate'}],
+                columns: [{title: 'ID',key: 'ID'},{title: '用户名',key: 'Name'},{title: 'PR数',key: 'CodeMergeCount'},{title: 'commit数',key:'CommitCount'},{title: '提出任务数',key: 'IssueCount'},{title: '评论数',key: 'CommentCount'},{title: '关注项目数',key: 'FocusRepoCount'},{title: '点赞项目数',key: 'StarRepoCount'},{title: '登录次数',key: 'LoginCount'},{title:'关注者数',key:'WatchedCount'},{title:'commit代码行数',key:'CommitCodeSize'},{title:'已解决任务数',key:'SolveIssueCount'},{title:'百科页面贡献次数',key:'EncyclopediasCount'},{title:'创建项目',key:'CreateRepoCount'},{title:'用户注册时间',key:'RegistDate'},{title:'云脑任务数',key:'CloudBrainTaskNum'},{title:'云脑运行时间（小时）',key:'CloudBrainRunTime'},{title:'上传（提交）数据集文件数',key:'CommitDatasetNum'},{title:'提交模型数',key:'CommitModelCount'},{title:'归一化用户指数',key:'UserIndex'},{title:'用户指数',key:'UserIndexPrimitive'},{title:'关注他人数',key:'FocusOtherUser'},{title:'收藏数据集',key:'CollectDataset'},{title:'被收藏数据集',key:'CollectedDataset'},{title:'被推荐数据集数',key:'RecommendDataset'},{title:'收藏镜像数',key:'CollectImage'},{title:'被收藏镜像数',key:'CollectedImage'},{title:'被推荐镜像数',key:'RecommendImage'},{title:'系统统计时间',key:'CountDate'}],
                 blob:'',
                 fileName:'',
                 dynamic:7,