| @@ -10,6 +10,7 @@ import ( | |||
| "io" | |||
| "path" | |||
| "strings" | |||
| "time" | |||
| "code.gitea.io/gitea/modules/log" | |||
| "code.gitea.io/gitea/modules/obs" | |||
| @@ -64,6 +65,7 @@ type AttachmentInfo struct { | |||
| Repo *Repository `xorm:"extends"` | |||
| RelAvatarLink string `xorm:"extends"` | |||
| UserName string `xorm:"extends"` | |||
| Recommend bool `xorm:"-"` | |||
| } | |||
| type AttachmentsOptions struct { | |||
| @@ -78,6 +80,7 @@ type AttachmentsOptions struct { | |||
| JustNeedZipFile bool | |||
| NeedRepoInfo bool | |||
| Keyword string | |||
| RecommendOnly bool | |||
| } | |||
| func (a *Attachment) AfterUpdate() { | |||
| @@ -104,6 +107,14 @@ func (a *Attachment) IncreaseDownloadCount() error { | |||
| return nil | |||
| } | |||
| func (a *Attachment) UpdateDatasetUpdateUnix() error { | |||
| // Update download count. | |||
| if _, err := x.Exec("UPDATE `dataset` SET updated_unix="+fmt.Sprint(time.Now().Unix())+" WHERE id=?", a.DatasetID); err != nil { | |||
| return fmt.Errorf("UpdateDatasetUpdateUnix: %v", err) | |||
| } | |||
| return nil | |||
| } | |||
| // APIFormat converts models.Attachment to api.Attachment | |||
| func (a *Attachment) APIFormat() *api.Attachment { | |||
| return &api.Attachment{ | |||
| @@ -570,6 +581,11 @@ func Attachments(opts *AttachmentsOptions) ([]*AttachmentInfo, int64, error) { | |||
| builder.Eq{"attachment.is_private": opts.IsPrivate}, | |||
| ) | |||
| } | |||
| if opts.RecommendOnly { | |||
| cond = cond.And(builder.In("attachment.id", builder.Select("attachment.id"). | |||
| From("attachment"). | |||
| Join("INNER", "dataset", "attachment.dataset_id = dataset.id and dataset.recommend=true"))) | |||
| } | |||
| if opts.JustNeedZipFile { | |||
| var DecompressState []int32 | |||
| @@ -618,6 +634,7 @@ func Attachments(opts *AttachmentsOptions) ([]*AttachmentInfo, int64, error) { | |||
| if err != nil { | |||
| return nil, 0, fmt.Errorf("GetDatasetByID failed error: %v", err) | |||
| } | |||
| attachment.Recommend = dataset.Recommend | |||
| repo, err := GetRepositoryByID(dataset.RepoID) | |||
| if err == nil { | |||
| attachment.Repo = repo | |||
| @@ -580,6 +580,8 @@ type CommitImageParams struct { | |||
| Topics []string | |||
| CloudBrainType int | |||
| UID int64 | |||
| Place string | |||
| Type int | |||
| } | |||
| type CommitImageResult struct { | |||
| @@ -1629,12 +1631,12 @@ func CloudbrainAll(opts *CloudbrainsOptions) ([]*CloudbrainInfo, int64, error) { | |||
| var err error | |||
| condition := "cloudbrain.user_id = `user`.id" | |||
| if len(opts.Keyword) == 0 { | |||
| count, err = sess.Where(cond).Count(new(Cloudbrain)) | |||
| count, err = sess.Unscoped().Where(cond).Count(new(Cloudbrain)) | |||
| } else { | |||
| lowerKeyWord := strings.ToLower(opts.Keyword) | |||
| cond = cond.And(builder.Or(builder.Like{"LOWER(cloudbrain.job_name)", lowerKeyWord}, builder.Like{"LOWER(cloudbrain.display_job_name)", lowerKeyWord}, builder.Like{"`user`.lower_name", lowerKeyWord})) | |||
| count, err = sess.Table(&Cloudbrain{}).Where(cond). | |||
| count, err = sess.Table(&Cloudbrain{}).Unscoped().Where(cond). | |||
| Join("left", "`user`", condition).Count(new(CloudbrainInfo)) | |||
| } | |||
| @@ -567,12 +567,12 @@ func isImageStaring(e Engine, userID, imageID int64) bool { | |||
| } | |||
| func RecommendImage(imageId int64, recommond bool) error { | |||
| image := Image{Type: getRecommondType(recommond)} | |||
| image := Image{Type: GetRecommondType(recommond)} | |||
| _, err := x.ID(imageId).Cols("type").Update(image) | |||
| return err | |||
| } | |||
| func getRecommondType(recommond bool) int { | |||
| func GetRecommondType(recommond bool) int { | |||
| if recommond { | |||
| return RECOMMOND_TYPE | |||
| @@ -23,7 +23,8 @@ type Dataset struct { | |||
| Category string | |||
| Description string `xorm:"TEXT"` | |||
| DownloadTimes int64 | |||
| NumStars int `xorm:"INDEX NOT NULL DEFAULT 0"` | |||
| NumStars int `xorm:"INDEX NOT NULL DEFAULT 0"` | |||
| Recommend bool `xorm:"INDEX NOT NULL DEFAULT false"` | |||
| License string | |||
| Task string | |||
| ReleaseID int64 `xorm:"INDEX"` | |||
| @@ -99,6 +100,7 @@ type SearchDatasetOptions struct { | |||
| OwnerID int64 | |||
| RepoID int64 | |||
| IncludePublic bool | |||
| RecommendOnly bool | |||
| Category string | |||
| Task string | |||
| License string | |||
| @@ -132,6 +134,13 @@ func CreateDataset(dataset *Dataset) (err error) { | |||
| } | |||
| func RecommendDataset(dataSetId int64, recommend bool) error { | |||
| dataset := Dataset{Recommend: recommend} | |||
| _, err := x.ID(dataSetId).Cols("recommend").Update(dataset) | |||
| return err | |||
| } | |||
| func SearchDataset(opts *SearchDatasetOptions) (DatasetList, int64, error) { | |||
| cond := SearchDatasetCondition(opts) | |||
| return SearchDatasetByCondition(opts, cond) | |||
| @@ -146,6 +155,9 @@ func SearchDatasetCondition(opts *SearchDatasetOptions) builder.Cond { | |||
| if opts.RepoID > 0 { | |||
| cond = cond.And(builder.Eq{"dataset.repo_id": opts.RepoID}) | |||
| } | |||
| if opts.RecommendOnly { | |||
| cond = cond.And(builder.Eq{"dataset.recommend": opts.RecommendOnly}) | |||
| } | |||
| if opts.IncludePublic { | |||
| cond = cond.And(builder.Eq{"dataset.status": DatasetStatusPublic}) | |||
| @@ -198,7 +210,7 @@ func SearchDatasetByCondition(opts *SearchDatasetOptions, cond builder.Cond) (Da | |||
| defer sess.Close() | |||
| datasets := make(DatasetList, 0, opts.PageSize) | |||
| selectColumnsSql := "distinct dataset.id,dataset.title, dataset.status, dataset.category, dataset.description, dataset.download_times, dataset.license, dataset.task, dataset.release_id, dataset.user_id, dataset.repo_id, dataset.created_unix,dataset.updated_unix,dataset.num_stars" | |||
| selectColumnsSql := "distinct dataset.id,dataset.title, dataset.status, dataset.category, dataset.description, dataset.download_times, dataset.license, dataset.task, dataset.release_id, dataset.user_id, dataset.repo_id, dataset.created_unix,dataset.updated_unix,dataset.num_stars,dataset.recommend" | |||
| count, err := sess.Distinct("dataset.id").Join("INNER", "repository", "repository.id = dataset.repo_id"). | |||
| Join("INNER", "attachment", "attachment.dataset_id=dataset.id"). | |||
| @@ -12,15 +12,19 @@ import ( | |||
| // env keys for git hooks need | |||
| const ( | |||
| EnvRepoName = "GITEA_REPO_NAME" | |||
| EnvRepoUsername = "GITEA_REPO_USER_NAME" | |||
| EnvRepoIsWiki = "GITEA_REPO_IS_WIKI" | |||
| EnvPusherName = "GITEA_PUSHER_NAME" | |||
| EnvPusherEmail = "GITEA_PUSHER_EMAIL" | |||
| EnvPusherID = "GITEA_PUSHER_ID" | |||
| EnvKeyID = "GITEA_KEY_ID" | |||
| EnvIsDeployKey = "GITEA_IS_DEPLOY_KEY" | |||
| EnvIsInternal = "GITEA_INTERNAL_PUSH" | |||
| EnvRepoName = "GITEA_REPO_NAME" | |||
| EnvRepoUsername = "GITEA_REPO_USER_NAME" | |||
| EnvRepoIsWiki = "GITEA_REPO_IS_WIKI" | |||
| EnvPusherName = "GITEA_PUSHER_NAME" | |||
| EnvPusherEmail = "GITEA_PUSHER_EMAIL" | |||
| EnvPusherID = "GITEA_PUSHER_ID" | |||
| EnvKeyID = "GITEA_KEY_ID" | |||
| EnvIsDeployKey = "GITEA_IS_DEPLOY_KEY" | |||
| EnvIsInternal = "GITEA_INTERNAL_PUSH" | |||
| EnvRepoSize = "REPO_CURRENT_SIZE" | |||
| EnvRepoMaxFileSize = "REPO_MAX_FILE_SIZE" | |||
| EnvRepoMaxSize = "REPO_MAX_SIZE" | |||
| EnvPushSizeCheckFlag = "PUSH_SIZE_CHECK_FLAG" | |||
| ) | |||
| // InternalPushingEnvironment returns an os environment to switch off hooks on push | |||
| @@ -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 | |||
| } | |||
| @@ -831,7 +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) | |||
| 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) | |||
| @@ -839,6 +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 | |||
| } | |||
| @@ -1129,17 +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 | |||
| @@ -1155,6 +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 | |||
| @@ -1163,7 +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) { | |||
| @@ -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 { | |||
| @@ -33,6 +33,16 @@ type CommitImageCloudBrainForm struct { | |||
| Topics string `form:"topics"` | |||
| } | |||
| type CommitAdminImageCloudBrainForm struct { | |||
| Description string `form:"description" binding:"Required"` | |||
| Type int `form:"type" binding:"Required"` | |||
| Tag string `form:"tag" binding:"Required;MaxSize(100)" ` | |||
| IsPrivate bool `form:"isPrivate" binding:"Required"` | |||
| Topics string `form:"topics"` | |||
| Place string `form:"place" binding:"Required"` | |||
| IsRecommend bool `form:"isRecommend" binding:"Required"` | |||
| } | |||
| type EditImageCloudBrainForm struct { | |||
| ID int64 `form:"id" binding:"Required"` | |||
| Description string `form:"description" binding:"Required"` | |||
| @@ -312,12 +312,51 @@ sendjob: | |||
| return nil | |||
| }) | |||
| if err == nil { | |||
| go updateImageStatus(image, isSetCreatedUnix, createTime) | |||
| } | |||
| return err | |||
| } | |||
| func CommitAdminImage(params models.CommitImageParams) error { | |||
| exist, err := models.IsImageExist(params.ImageTag) | |||
| if err != nil { | |||
| return fmt.Errorf("resty CommitImage: %v", err) | |||
| } | |||
| if exist { | |||
| return models.ErrorImageTagExist{ | |||
| Tag: params.ImageTag, | |||
| } | |||
| } | |||
| image := models.Image{ | |||
| CloudbrainType: params.CloudBrainType, | |||
| UID: params.UID, | |||
| IsPrivate: params.IsPrivate, | |||
| Tag: params.ImageTag, | |||
| Description: params.ImageDescription, | |||
| Place: params.Place, | |||
| Status: models.IMAGE_STATUS_SUCCESS, | |||
| Type: params.Type, | |||
| } | |||
| err = models.WithTx(func(ctx models.DBContext) error { | |||
| if err := models.CreateLocalImage(&image); err != nil { | |||
| log.Error("Failed to insert image record.", err) | |||
| return fmt.Errorf("resty CommitImage: %v", err) | |||
| } | |||
| if err := models.SaveImageTopics(image.ID, params.Topics...); err != nil { | |||
| log.Error("Failed to insert image record.", err) | |||
| return fmt.Errorf("resty CommitImage: %v", err) | |||
| } | |||
| return nil | |||
| }) | |||
| return err | |||
| } | |||
| func updateImageStatus(image models.Image, isSetCreatedUnix bool, createTime time.Time) { | |||
| attemps := 5 | |||
| commitSuccess := false | |||
| @@ -19,7 +19,11 @@ import ( | |||
| "xorm.io/builder" | |||
| ) | |||
| func getHookTemplates() (hookNames, hookTpls, giteaHookTpls []string) { | |||
| const ( | |||
| SIZE_LIMIT_SCRIPT_NAME = "size_limit" | |||
| ) | |||
| func getHookTemplates() (hookNames, hookTpls, giteaHookTpls, sizeLimitTpls []string) { | |||
| hookNames = []string{"pre-receive", "update", "post-receive"} | |||
| hookTpls = []string{ | |||
| fmt.Sprintf("#!/usr/bin/env %s\ndata=$(cat)\nexitcodes=\"\"\nhookname=$(basename $0)\nGIT_DIR=${GIT_DIR:-$(dirname $0)}\n\nfor hook in ${GIT_DIR}/hooks/${hookname}.d/*; do\ntest -x \"${hook}\" && test -f \"${hook}\" || continue\necho \"${data}\" | \"${hook}\"\nexitcodes=\"${exitcodes} $?\"\ndone\n\nfor i in ${exitcodes}; do\n[ ${i} -eq 0 ] || exit ${i}\ndone\n", setting.ScriptType), | |||
| @@ -31,6 +35,11 @@ func getHookTemplates() (hookNames, hookTpls, giteaHookTpls []string) { | |||
| fmt.Sprintf("#!/usr/bin/env %s\n\"%s\" hook --config='%s' update $1 $2 $3\n", setting.ScriptType, setting.AppPath, setting.CustomConf), | |||
| fmt.Sprintf("#!/usr/bin/env %s\n\"%s\" hook --config='%s' post-receive\n", setting.ScriptType, setting.AppPath, setting.CustomConf), | |||
| } | |||
| sizeLimitTpls = []string{ | |||
| fmt.Sprintf("#!/usr/bin/env %s\n\n\nset -o pipefail\n\nreadonly DEFAULT_FILE_MAXSIZE_MB=\"30\" \nreadonly CONFIG_NAME=\"hooks.maxfilesize\"\nreadonly NULLSHA=\"0000000000000000000000000000000000000000\"\nreadonly EXIT_SUCCESS=0\nreadonly EXIT_FAILURE=1\nreadonly DEFAULT_REPO_MAXSIZE_MB=\"1024\" \nreadonly CHECK_FLAG_ON=1\n\n\nstatus=\"$EXIT_SUCCESS\"\n\n# skip this hook entirely if shell check is not open\ncheck_flag=${PUSH_SIZE_CHECK_FLAG}\nif [[ $check_flag != $CHECK_FLAG_ON ]]; then\nexit $EXIT_SUCCESS\nfi\n\n\n#######################################\n# check the file max size limit\n#######################################\n\n# get maximum filesize (from repository-specific config)\nmaxsize_mb=\"${REPO_MAX_FILE_SIZE}\"\n\nif [[ \"$?\" != $EXIT_SUCCESS ]]; then\necho \"failed to get ${CONFIG_NAME} from config\"\nexit \"$EXIT_FAILURE\"\nfi\n\npush_size=\"0\"\n# read lines from stdin (format: \"<oldref> <newref> <refname>\\n\")\nwhile read oldref newref refname; do\n# skip branch deletions\nif [[ \"$newref\" == \"$NULLSHA\" ]]; then\n continue\nfi\n\n# find large objects\n# check all objects from $oldref (possible $NULLSHA) to $newref, but\n# skip all objects that have already been accepted (i.e. are referenced by\n# another branch or tag).\n\nif [[ \"$oldref\" == \"$NULLSHA\" ]]; then\n target=\"$newref\"\nelse\n target=\"${oldref}..${newref}\"\nfi\nmaxsize=`expr $maxsize_mb \\* 1048576` \n\n# find objects in this push_size\n# print like:\n# 08da8e2ab9ae4095bf94dd71ac913132b880b463 commit 214\n# 43e993b768ede5740e8c65de2ed6edec25053ea1 tree 185\n# 4476971d76569039df7569af1b8d03c288f6b193 blob 20167318 b0417e6593a1.zip\nfiles=\"$(git rev-list --objects \"$target\" --tags=\\* | \\\n git cat-file $'--batch-check=%%(objectname) %%(objecttype) %%(objectsize) %%(rest)')\"\n \nif [[ \"$?\" != $EXIT_SUCCESS ]]; then\n echo \"failed to check for large files in ref ${refname}\"\n continue\nfi\n\n# rewrite IFS to seperate line in $files\nIFS=$'\\n'\nfor file in $files; do\n # if don't unset IFS,temp_array=(${file}) will get error answer\n unset IFS\n temp_array=(${file})\n # add all commit files size\n push_size=`expr $push_size + ${temp_array[2]}`\n if [[ ${temp_array[2]} -gt $maxsize ]]; then\n\t if [[ \"$status\" == $EXIT_SUCCESS ]]; then\n\t\techo -e \"Error: Your push was rejected because it contains files larger than $(numfmt --to=iec \"$maxsize_mb\") Mb\"\n\t\techo \"oversize files:\"\n\t\tstatus=\"$EXIT_FAILURE\"\n\t fi\n\t echo -e \"\\033[31m- ${temp_array[3]} \\033[0m (ref: ${refname}) \"\n fi\ndone\n\nif [[ \"$status\" != $EXIT_SUCCESS ]]; then\n\texit \"$status\"\nfi\n\ndone\n\n#######################################\n# check the repo max size limit\n#######################################\nif [[ $push_size -eq \"0\" ]]; then\n\texit $EXIT_SUCCESS\nfi\n\n\nsizelimit_mb=\"${REPO_MAX_SIZE}\"\nlet sizelimit_b=$sizelimit_mb*1024*1024\n\n# repo size at here means the size of repo directory in server \nreposize_b=${REPO_CURRENT_SIZE}\n\ntotal=`expr $push_size + $reposize_b`\n\nif [ $total -gt $sizelimit_b ]; then\n echo \"Error: Your push was rejected because the repository size is large than $sizelimit_mb Mb\"\n exit $EXIT_FAILURE\nfi\n\n\nexit $EXIT_SUCCESS\n", setting.ScriptType, setting.CustomConf), | |||
| fmt.Sprintf(""), | |||
| fmt.Sprintf(""), | |||
| } | |||
| return | |||
| } | |||
| @@ -41,7 +50,7 @@ func CreateDelegateHooks(repoPath string) error { | |||
| // createDelegateHooks creates all the hooks scripts for the repo | |||
| func createDelegateHooks(repoPath string) (err error) { | |||
| hookNames, hookTpls, giteaHookTpls := getHookTemplates() | |||
| hookNames, hookTpls, giteaHookTpls, sizeLimitTpls := getHookTemplates() | |||
| hookDir := filepath.Join(repoPath, "hooks") | |||
| for i, hookName := range hookNames { | |||
| @@ -74,8 +83,26 @@ func createDelegateHooks(repoPath string) (err error) { | |||
| if err = ensureExecutable(newHookPath); err != nil { | |||
| return fmt.Errorf("Unable to set %s executable. Error %v", oldHookPath, err) | |||
| } | |||
| if err = writeHookTpl(generateHookScriptPath(hookDir, hookName, SIZE_LIMIT_SCRIPT_NAME), sizeLimitTpls[i]); err != nil { | |||
| return err | |||
| } | |||
| } | |||
| return nil | |||
| } | |||
| func writeHookTpl(hookPath, content string) error { | |||
| if content == "" { | |||
| return nil | |||
| } | |||
| if err := ioutil.WriteFile(hookPath, []byte(content), 0777); err != nil { | |||
| return fmt.Errorf("write new hook file '%s': %v", hookPath, err) | |||
| } | |||
| if err := ensureExecutable(hookPath); err != nil { | |||
| return fmt.Errorf("Unable to set %s executable. Error %v", hookPath, err) | |||
| } | |||
| return nil | |||
| } | |||
| @@ -101,7 +128,7 @@ func ensureExecutable(filename string) error { | |||
| // CheckDelegateHooks checks the hooks scripts for the repo | |||
| func CheckDelegateHooks(repoPath string) ([]string, error) { | |||
| hookNames, hookTpls, giteaHookTpls := getHookTemplates() | |||
| hookNames, hookTpls, giteaHookTpls, sizeLimitTpls := getHookTemplates() | |||
| hookDir := filepath.Join(repoPath, "hooks") | |||
| results := make([]string, 0, 10) | |||
| @@ -146,10 +173,34 @@ func CheckDelegateHooks(repoPath string) ([]string, error) { | |||
| if !checkExecutable(newHookPath) { | |||
| results = append(results, fmt.Sprintf("new hook file %s is not executable", newHookPath)) | |||
| } | |||
| if err = checkHookFile(generateHookScriptPath(hookDir, hookName, SIZE_LIMIT_SCRIPT_NAME), sizeLimitTpls[i], results); err != nil { | |||
| return results, err | |||
| } | |||
| } | |||
| return results, nil | |||
| } | |||
| func generateHookScriptPath(hookDir, hookName, fileName string) string { | |||
| return filepath.Join(hookDir, hookName+".d", fileName) | |||
| } | |||
| func checkHookFile(filePath, tpl string, results []string) error { | |||
| if tpl == "" { | |||
| return nil | |||
| } | |||
| contents, err := ioutil.ReadFile(filePath) | |||
| if err != nil { | |||
| return err | |||
| } | |||
| if string(contents) != tpl { | |||
| results = append(results, fmt.Sprintf("old hook file %s is out of date", filePath)) | |||
| } | |||
| if !checkExecutable(filePath) { | |||
| results = append(results, fmt.Sprintf("old hook file %s is not executable", filePath)) | |||
| } | |||
| return nil | |||
| } | |||
| // SyncRepositoryHooks rewrites all repositories' pre-receive, update and post-receive hooks | |||
| // to make sure the binary and custom conf path are up-to-date. | |||
| func SyncRepositoryHooks(ctx context.Context) error { | |||
| @@ -56,6 +56,7 @@ var ( | |||
| FileMaxSize int64 | |||
| MaxFiles int | |||
| TotalMaxSize int64 | |||
| ShellFlag int | |||
| } `ini:"-"` | |||
| // Repository local settings | |||
| @@ -125,6 +126,7 @@ var ( | |||
| FileMaxSize int64 | |||
| MaxFiles int | |||
| TotalMaxSize int64 | |||
| ShellFlag int | |||
| }{ | |||
| Enabled: true, | |||
| TempPath: "data/tmp/uploads", | |||
| @@ -132,6 +134,7 @@ var ( | |||
| FileMaxSize: 30, | |||
| MaxFiles: 10, | |||
| TotalMaxSize: 1024, | |||
| ShellFlag: 0, | |||
| }, | |||
| // Repository local settings | |||
| @@ -69,8 +69,17 @@ func sessionHandler(session ssh.Session) { | |||
| os.Environ(), | |||
| "SSH_ORIGINAL_COMMAND="+command, | |||
| "SKIP_MINWINSVC=1", | |||
| models.EnvRepoMaxFileSize+"="+fmt.Sprint(setting.Repository.Upload.FileMaxSize), | |||
| models.EnvRepoMaxSize+"="+fmt.Sprint(setting.Repository.RepoMaxSize), | |||
| models.EnvPushSizeCheckFlag+"="+fmt.Sprint(setting.Repository.Upload.ShellFlag), | |||
| ) | |||
| if strings.HasPrefix(command, "git-receive-pack") { | |||
| repo := getRepoFromCommandStr(command) | |||
| if repo != nil { | |||
| cmd.Env = append(cmd.Env, models.EnvRepoSize+"="+fmt.Sprint(repo.Size)) | |||
| } | |||
| } | |||
| stdout, err := cmd.StdoutPipe() | |||
| if err != nil { | |||
| log.Error("SSH: StdoutPipe: %v", err) | |||
| @@ -131,6 +140,23 @@ func sessionHandler(session ssh.Session) { | |||
| } | |||
| } | |||
| func getRepoFromCommandStr(command string) *models.Repository { | |||
| repoPath := strings.TrimPrefix(command, "git-receive-pack '") | |||
| repoPath = strings.TrimSuffix(repoPath, ".git'") | |||
| if repoPath != "" { | |||
| nameArray := strings.Split(repoPath, "/") | |||
| if len(nameArray) >= 2 { | |||
| ownerName := nameArray[0] | |||
| repoName := nameArray[1] | |||
| if repo, err := models.GetRepositoryByOwnerAndName(ownerName, repoName); err == nil { | |||
| return repo | |||
| } | |||
| } | |||
| } | |||
| return nil | |||
| } | |||
| func publicKeyHandler(ctx ssh.Context, key ssh.PublicKey) bool { | |||
| if ctx.User() != setting.SSH.BuiltinServerUser { | |||
| return false | |||
| @@ -2,6 +2,7 @@ package storage | |||
| import ( | |||
| "encoding/xml" | |||
| "errors" | |||
| "path" | |||
| "sort" | |||
| "strconv" | |||
| @@ -129,7 +130,7 @@ func NewMultiPartUpload(uuid string) (string, error) { | |||
| return core.NewMultipartUpload(bucketName, objectName, miniov6.PutObjectOptions{}) | |||
| } | |||
| func CompleteMultiPartUpload(uuid string, uploadID string) (string, error) { | |||
| func CompleteMultiPartUpload(uuid string, uploadID string, totalChunks int) (string, error) { | |||
| client, core, err := getClients() | |||
| if err != nil { | |||
| log.Error("getClients failed:", err.Error()) | |||
| @@ -146,6 +147,11 @@ func CompleteMultiPartUpload(uuid string, uploadID string) (string, error) { | |||
| return "", err | |||
| } | |||
| if len(partInfos) != totalChunks { | |||
| log.Error("ListObjectParts number(%d) is not equal the set total chunk number(%d)", len(partInfos), totalChunks) | |||
| return "", errors.New("the parts is not complete") | |||
| } | |||
| var complMultipartUpload completeMultipartUpload | |||
| for _, partInfo := range partInfos { | |||
| complMultipartUpload.Parts = append(complMultipartUpload.Parts, miniov6.CompletePart{ | |||
| @@ -59,21 +59,55 @@ func ObsHasObject(path string) (bool, error) { | |||
| return hasObject, nil | |||
| } | |||
| func listAllParts(uuid, uploadID, key string) (output *obs.ListPartsOutput, err error) { | |||
| output = &obs.ListPartsOutput{} | |||
| partNumberMarker := 0 | |||
| for { | |||
| temp, err := ObsCli.ListParts(&obs.ListPartsInput{ | |||
| Bucket: setting.Bucket, | |||
| Key: key, | |||
| UploadId: uploadID, | |||
| MaxParts: MAX_LIST_PARTS, | |||
| PartNumberMarker: partNumberMarker, | |||
| }) | |||
| if err != nil { | |||
| log.Error("ListParts failed:", err.Error()) | |||
| return output, err | |||
| } | |||
| partNumberMarker = temp.NextPartNumberMarker | |||
| log.Info("uuid:%s, MaxParts:%d, PartNumberMarker:%d, NextPartNumberMarker:%d, len:%d", uuid, temp.MaxParts, temp.PartNumberMarker, temp.NextPartNumberMarker, len(temp.Parts)) | |||
| for _, partInfo := range temp.Parts { | |||
| output.Parts = append(output.Parts, obs.Part{ | |||
| PartNumber: partInfo.PartNumber, | |||
| ETag: partInfo.ETag, | |||
| }) | |||
| } | |||
| if !temp.IsTruncated { | |||
| break | |||
| } else { | |||
| continue | |||
| } | |||
| break | |||
| } | |||
| return output, nil | |||
| } | |||
| func GetObsPartInfos(uuid, uploadID, fileName string) (string, error) { | |||
| key := strings.TrimPrefix(path.Join(setting.BasePath, path.Join(uuid[0:1], uuid[1:2], uuid, fileName)), "/") | |||
| output, err := ObsCli.ListParts(&obs.ListPartsInput{ | |||
| Bucket: setting.Bucket, | |||
| Key: key, | |||
| UploadId: uploadID, | |||
| }) | |||
| allParts, err := listAllParts(uuid, uploadID, key) | |||
| if err != nil { | |||
| log.Error("ListParts failed:", err.Error()) | |||
| log.Error("listAllParts failed: %v", err) | |||
| return "", err | |||
| } | |||
| var chunks string | |||
| for _, partInfo := range output.Parts { | |||
| for _, partInfo := range allParts.Parts { | |||
| chunks += strconv.Itoa(partInfo.PartNumber) + "-" + partInfo.ETag + "," | |||
| } | |||
| @@ -94,45 +128,25 @@ func NewObsMultiPartUpload(uuid, fileName string) (string, error) { | |||
| return output.UploadId, nil | |||
| } | |||
| func CompleteObsMultiPartUpload(uuid, uploadID, fileName string) error { | |||
| func CompleteObsMultiPartUpload(uuid, uploadID, fileName string, totalChunks int) error { | |||
| input := &obs.CompleteMultipartUploadInput{} | |||
| input.Bucket = setting.Bucket | |||
| input.Key = strings.TrimPrefix(path.Join(setting.BasePath, path.Join(uuid[0:1], uuid[1:2], uuid, fileName)), "/") | |||
| input.UploadId = uploadID | |||
| partNumberMarker := 0 | |||
| for { | |||
| output, err := ObsCli.ListParts(&obs.ListPartsInput{ | |||
| Bucket: setting.Bucket, | |||
| Key: input.Key, | |||
| UploadId: uploadID, | |||
| MaxParts: MAX_LIST_PARTS, | |||
| PartNumberMarker: partNumberMarker, | |||
| }) | |||
| if err != nil { | |||
| log.Error("ListParts failed:", err.Error()) | |||
| return err | |||
| } | |||
| partNumberMarker = output.NextPartNumberMarker | |||
| log.Info("uuid:%s, MaxParts:%d, PartNumberMarker:%d, NextPartNumberMarker:%d, len:%d", uuid, output.MaxParts, output.PartNumberMarker, output.NextPartNumberMarker, len(output.Parts)) | |||
| for _, partInfo := range output.Parts { | |||
| input.Parts = append(input.Parts, obs.Part{ | |||
| PartNumber: partInfo.PartNumber, | |||
| ETag: partInfo.ETag, | |||
| }) | |||
| } | |||
| if len(output.Parts) < output.MaxParts { | |||
| break | |||
| } else { | |||
| continue | |||
| } | |||
| allParts, err := listAllParts(uuid, uploadID, input.Key) | |||
| if err != nil { | |||
| log.Error("listAllParts failed: %v", err) | |||
| return err | |||
| } | |||
| break | |||
| if len(allParts.Parts) != totalChunks { | |||
| log.Error("listAllParts number(%d) is not equal the set total chunk number(%d)", len(allParts.Parts), totalChunks) | |||
| return errors.New("the parts is not complete") | |||
| } | |||
| input.Parts = allParts.Parts | |||
| output, err := ObsCli.CompleteMultipartUpload(input) | |||
| if err != nil { | |||
| log.Error("CompleteMultipartUpload failed:", err.Error()) | |||
| @@ -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 | |||
| @@ -1389,6 +1397,7 @@ issues.filter_sort.feweststars = Fewest stars | |||
| issues.filter_sort.mostforks = Most forks | |||
| issues.filter_sort.fewestforks = Fewest forks | |||
| issues.filter_sort.downloadtimes = Most downloaded | |||
| issues.filter_sort.moststars = Most star | |||
| issues.action_open = Open | |||
| issues.action_close = Close | |||
| issues.action_label = Label | |||
| @@ -2502,11 +2511,16 @@ repos.contributor=Contributor | |||
| repos.yes=Yes | |||
| repos.no=No | |||
| images.recommend = Recommend | |||
| images.unrecommend = Unrecommend | |||
| datasets.dataset_manage_panel= Dataset Manage | |||
| datasets.owner=Owner | |||
| datasets.name=name | |||
| datasets.private=Private | |||
| datasets.recommend=Set recommend | |||
| datasets.unrecommend=Set unrecommend | |||
| datasets.only_recommend = Only show platform recommendations | |||
| cloudbrain.all_task_types=All Task Types | |||
| cloudbrain.all_computing_resources=All Computing Resources | |||
| @@ -2854,7 +2868,7 @@ mirror_sync_create = synced new reference <a href="%s/src/%s">%[2]s</a> to <a hr | |||
| mirror_sync_delete = synced and deleted reference <code>%[2]s</code> at <a href="%[1]s">%[3]s</a> from mirror | |||
| approve_pull_request = `approved <a href="%s/pulls/%s">%s#%[2]s</a>` | |||
| reject_pull_request = `suggested changes for <a href="%s/pulls/%s">%s#%[2]s</a>` | |||
| upload_dataset=`upload dataset <a href="%s/datasets?type=%s">%s</a>` | |||
| upload_dataset=`upload dataset <a href="%s/datasets">%s</a>` | |||
| task_gpudebugjob=`created CPU/GPU type debugging task<a href="%s/cloudbrain/%s">%s</a>` | |||
| task_npudebugjob=`created NPU type debugging task <a href="%s/modelarts/notebook/%s">%s</a>` | |||
| task_nputrainjob=`created NPU training task<a href="%s/modelarts/train-job/%s">%s</a>` | |||
| @@ -2964,6 +2978,7 @@ snn4imagenet_path = Snn4imagenet script path | |||
| brainscore_path = Brainscore script path | |||
| start_command = Start command | |||
| choose_mirror = select mirror or enter mirror path | |||
| input_mirror = Please enter image path | |||
| select_dataset = select dataset | |||
| specification = specification | |||
| select_specification = select specification | |||
| @@ -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 | |||
| @@ -1401,6 +1409,7 @@ issues.filter_sort.feweststars=点赞由少到多 | |||
| issues.filter_sort.mostforks=派生由多到少 | |||
| issues.filter_sort.fewestforks=派生由少到多 | |||
| issues.filter_sort.downloadtimes=下载次数 | |||
| issues.filter_sort.moststars=收藏数量 | |||
| issues.action_open=开启 | |||
| issues.action_close=关闭 | |||
| issues.action_label=标签 | |||
| @@ -2512,11 +2521,16 @@ repos.contributor=贡献者数 | |||
| repos.yes=是 | |||
| repos.no=否 | |||
| images.recommend = 推荐 | |||
| images.unrecommend = 不推荐 | |||
| datasets.dataset_manage_panel=数据集管理 | |||
| datasets.owner=所有者 | |||
| datasets.name=名称 | |||
| datasets.private=私有 | |||
| datasets.recommend=设为推荐 | |||
| datasets.unrecommend=取消推荐 | |||
| datasets.only_recommend = 仅显示平台推荐 | |||
| cloudbrain.all_task_types=全部任务类型 | |||
| cloudbrain.all_computing_resources=全部计算资源 | |||
| @@ -2864,7 +2878,7 @@ mirror_sync_create=从镜像同步了新的引用 <a href="%s/src/%s">%[2]s</a> | |||
| mirror_sync_delete=从镜像同步并从 <a href="%[1]s">%[3]s</a> 删除了引用 <code>%[2]s</code> | |||
| approve_pull_request=`同意了 <a href="%s/pulls/%s">%s#%[2]s</a>` | |||
| reject_pull_request=`建议变更 <a href="%s/pulls/%s">%s#%[2]s</a>` | |||
| upload_dataset=`上传了数据集文件 <a href="%s/datasets?type=%s">%s</a>` | |||
| upload_dataset=`上传了数据集文件 <a href="%s/datasets">%s</a>` | |||
| task_gpudebugjob=`创建了CPU/GPU类型调试任务 <a href="%s/cloudbrain/%s">%s</a>` | |||
| task_npudebugjob=`创建了NPU类型调试任务 <a href="%s/modelarts/notebook/%s">%s</a>` | |||
| task_nputrainjob=`创建了NPU类型训练任务 <a href="%s/modelarts/train-job/%s">%s</a>` | |||
| @@ -2974,6 +2988,7 @@ snn4imagenet_path = snn4imagenet脚本存放路径 | |||
| brainscore_path = brainscore脚本存放路径 | |||
| start_command = 启动命令 | |||
| choose_mirror = 选择镜像或输入镜像地址 | |||
| input_mirror = 请输入云脑镜像地址 | |||
| select_dataset = 选择数据集 | |||
| specification = 规格 | |||
| select_specification = 选择资源规格 | |||
| @@ -99,6 +99,11 @@ socket.onmessage = function (e) { | |||
| console.log("receive action type=" + record.OpType + " name=" + actionName + " but user is null."); | |||
| continue; | |||
| } | |||
| if(record.OpType == "24"){ | |||
| if(record.Content.indexOf("true") != -1){ | |||
| continue; | |||
| } | |||
| } | |||
| var recordPrefix = getMsg(record); | |||
| if(record.OpType == "6" || record.OpType == "10" || record.OpType == "12" || record.OpType == "13"){ | |||
| html += recordPrefix + actionName; | |||
| @@ -162,7 +167,7 @@ socket.onmessage = function (e) { | |||
| function getTaskLink(record){ | |||
| var re = getRepoLink(record); | |||
| if(record.OpType == 24){ | |||
| re = re + "/datasets?type=" + record.Content; | |||
| re = re + "/datasets"; | |||
| }else if(record.OpType == 25){ | |||
| re = re + "/cloudbrain/" + record.Content; | |||
| }else if(record.OpType == 26){ | |||
| @@ -101,16 +101,20 @@ function initPageInfo(){ | |||
| function searchItem(type,sortType){ | |||
| console.log("enter item 2."); | |||
| currentSearchKeyword = document.getElementById("keyword_input").value; | |||
| if(!isEmpty(currentSearchKeyword)){ | |||
| initPageInfo(); | |||
| currentSearchTableName = itemType[type]; | |||
| currentSearchSortBy = sortBy[sortType]; | |||
| currentSearchAscending = sortAscending[sortType]; | |||
| OnlySearchLabel =false; | |||
| page(currentPage); | |||
| if(OnlySearchLabel){ | |||
| doSearchLabel(currentSearchTableName,currentSearchKeyword,sortBy[sortType],sortAscending[sortType]) | |||
| }else{ | |||
| emptySearch(); | |||
| currentSearchKeyword = document.getElementById("keyword_input").value; | |||
| if(!isEmpty(currentSearchKeyword)){ | |||
| initPageInfo(); | |||
| currentSearchTableName = itemType[type]; | |||
| currentSearchSortBy = sortBy[sortType]; | |||
| currentSearchAscending = sortAscending[sortType]; | |||
| OnlySearchLabel =false; | |||
| page(currentPage); | |||
| }else{ | |||
| emptySearch(); | |||
| } | |||
| } | |||
| } | |||
| @@ -806,17 +810,14 @@ var repoAndOrgEN={ | |||
| function page(current){ | |||
| currentPage=current; | |||
| doSearch(currentSearchTableName,currentSearchKeyword,current,pageSize,false,currentSearchSortBy,OnlySearchLabel); | |||
| } | |||
| function nextPage(){ | |||
| currentPage = currentPage+1; | |||
| console.log("currentPage=" + currentPage); | |||
| if(currentPage >= endIndex){ | |||
| startIndex=startIndex+1; | |||
| endIndex = endIndex +1; | |||
| } | |||
| page(currentPage); | |||
| } | |||
| @@ -824,10 +825,6 @@ function page(current){ | |||
| console.log("currentPage=" + currentPage); | |||
| if(currentPage > 1){ | |||
| currentPage = currentPage-1; | |||
| if(currentPage <= startIndex && startIndex > 1){ | |||
| startIndex = startIndex -1; | |||
| endIndex = endIndex - 1; | |||
| } | |||
| console.log("currentPage=" + (currentPage)); | |||
| page(currentPage); | |||
| } | |||
| @@ -862,7 +859,7 @@ function getYPosition(e){ | |||
| showTip(getLabel(isZh,"search_input_large_0"),"warning",left+5,top); | |||
| } | |||
| else if(goNum<=totalPage){ | |||
| page(goNum); | |||
| page(parseInt(goNum,10)); | |||
| } | |||
| else{ | |||
| showTip(getLabel(isZh,"search_input_maxed"),"warning",left+5,top); | |||
| @@ -884,9 +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>"; | |||
| @@ -908,6 +910,11 @@ function getYPosition(e){ | |||
| } | |||
| } | |||
| if (endIndex < totalPage-1){ | |||
| html += "..."; | |||
| html += "<a id=\"page_" + totalPage+ "\" class=\"item\" href=\"javascript:page(" + totalPage +")\">" + totalPage + "</a>"; | |||
| } | |||
| if(currentPage >=totalPage){ | |||
| html += "<a class=\"disabled item navigation\" href=\"javascript:nextPage()\"><i class=\"icon right arrow\"></i></a>"; | |||
| html += "<a class=\"disabled item navigation\" href=\"javascript:page(" + totalPage + ")\"><span class=\"navigation_label\">" + getLabel(isZh,"search_last_page") + "</span></a>"; | |||
| @@ -21,6 +21,7 @@ import ( | |||
| const ( | |||
| tplCloudBrains base.TplName = "admin/cloudbrain/list" | |||
| tplImages base.TplName = "admin/cloudbrain/images" | |||
| tplCommitImages base.TplName = "admin/cloudbrain/imagecommit" | |||
| EXCEL_DATE_FORMAT = "20060102150405" | |||
| CREATE_TIME_FORMAT = "2006/01/02 15:04:05" | |||
| ) | |||
| @@ -114,6 +115,12 @@ func Images(ctx *context.Context) { | |||
| } | |||
| func CloudBrainCommitImageShow(ctx *context.Context) { | |||
| ctx.Data["PageIsAdminImages"] = true | |||
| ctx.HTML(200, tplCommitImages) | |||
| } | |||
| func DownloadCloudBrains(ctx *context.Context) { | |||
| page := 1 | |||
| @@ -1,6 +1,8 @@ | |||
| package admin | |||
| import ( | |||
| "net/http" | |||
| "strconv" | |||
| "strings" | |||
| "code.gitea.io/gitea/models" | |||
| @@ -49,6 +51,8 @@ func Datasets(ctx *context.Context) { | |||
| orderBy = models.SearchOrderBySizeReverse | |||
| case "size": | |||
| orderBy = models.SearchOrderBySize | |||
| case "downloadtimes": | |||
| orderBy = models.SearchOrderByDownloadTimes | |||
| case "moststars": | |||
| orderBy = models.SearchOrderByStarsReverse | |||
| case "feweststars": | |||
| @@ -70,6 +74,7 @@ func Datasets(ctx *context.Context) { | |||
| PageSize: setting.UI.ExplorePagingNum, | |||
| }, | |||
| Keyword: keyword, | |||
| RecommendOnly: ctx.QueryBool("recommend"), | |||
| SearchOrderBy: orderBy, | |||
| }) | |||
| if err != nil { | |||
| @@ -80,7 +85,7 @@ func Datasets(ctx *context.Context) { | |||
| ctx.Data["Keyword"] = keyword | |||
| ctx.Data["Total"] = count | |||
| ctx.Data["Datasets"] = datasets | |||
| ctx.Data["Recommend"] = ctx.QueryBool("recommend") | |||
| pager := context.NewPagination(int(count), setting.UI.ExplorePagingNum, page, 5) | |||
| pager.SetDefaultParams(ctx) | |||
| ctx.Data["Page"] = pager | |||
| @@ -88,6 +93,23 @@ func Datasets(ctx *context.Context) { | |||
| ctx.HTML(200, tplDatasets) | |||
| } | |||
| func DatasetAction(ctx *context.Context) { | |||
| var err error | |||
| datasetId, _ := strconv.ParseInt(ctx.Params(":id"), 10, 64) | |||
| switch ctx.Params(":action") { | |||
| case "recommend": | |||
| err = models.RecommendDataset(datasetId, true) | |||
| case "unrecommend": | |||
| err = models.RecommendDataset(datasetId, false) | |||
| } | |||
| if err != nil { | |||
| ctx.JSON(http.StatusOK, models.BaseErrorMessage(ctx.Tr("repo.star_fail", ctx.Params(":action")))) | |||
| } else { | |||
| ctx.JSON(http.StatusOK, models.BaseOKMessage) | |||
| } | |||
| } | |||
| func DeleteDataset(ctx *context.Context) { | |||
| dataset, err := models.GetDatasetByID(ctx.QueryInt64("id")) | |||
| if err != nil { | |||
| @@ -23,7 +23,7 @@ func DownloadCloudBrainBoard(ctx *context.Context) { | |||
| _, total, err := models.CloudbrainAll(&models.CloudbrainsOptions{ | |||
| ListOptions: models.ListOptions{ | |||
| Page: page, | |||
| PageSize: 1, | |||
| PageSize: pageSize, | |||
| }, | |||
| Type: models.TypeCloudBrainAll, | |||
| NeedRepoInfo: false, | |||
| @@ -331,6 +331,7 @@ func ExploreDatasets(ctx *context.Context) { | |||
| Task: task, | |||
| License: license, | |||
| OwnerID: ownerID, | |||
| RecommendOnly: ctx.QueryBool("recommend"), | |||
| ListOptions: models.ListOptions{ | |||
| Page: page, | |||
| PageSize: 30, | |||
| @@ -357,6 +358,7 @@ func ExploreDatasets(ctx *context.Context) { | |||
| ctx.Data["Category"] = category | |||
| ctx.Data["Task"] = task | |||
| ctx.Data["License"] = license | |||
| ctx.Data["Recommend"] = ctx.QueryBool("recommend") | |||
| pager.SetDefaultParams(ctx) | |||
| ctx.Data["Page"] = pager | |||
| @@ -11,7 +11,6 @@ import ( | |||
| "fmt" | |||
| "mime/multipart" | |||
| "net/http" | |||
| "path" | |||
| "strconv" | |||
| "strings" | |||
| @@ -830,20 +829,6 @@ func GetMultipartUploadUrl(ctx *context.Context) { | |||
| }) | |||
| } | |||
| func GetObsKey(ctx *context.Context) { | |||
| uuid := gouuid.NewV4().String() | |||
| key := strings.TrimPrefix(path.Join(setting.BasePath, path.Join(uuid[0:1], uuid[1:2], uuid, uuid)), "/") | |||
| ctx.JSON(200, map[string]string{ | |||
| "uuid": uuid, | |||
| "key": key, | |||
| "access_key_id": setting.AccessKeyID, | |||
| "secret_access_key": setting.SecretAccessKey, | |||
| "server": setting.Endpoint, | |||
| "bucket": setting.Bucket, | |||
| }) | |||
| } | |||
| func CompleteMultipart(ctx *context.Context) { | |||
| uuid := ctx.Query("uuid") | |||
| uploadID := ctx.Query("uploadID") | |||
| @@ -870,13 +855,13 @@ func CompleteMultipart(ctx *context.Context) { | |||
| } | |||
| if typeCloudBrain == models.TypeCloudBrainOne { | |||
| _, err = storage.CompleteMultiPartUpload(uuid, uploadID) | |||
| _, err = storage.CompleteMultiPartUpload(uuid, uploadID, fileChunk.TotalChunks) | |||
| if err != nil { | |||
| ctx.Error(500, fmt.Sprintf("CompleteMultiPartUpload failed: %v", err)) | |||
| return | |||
| } | |||
| } else { | |||
| err = storage.CompleteObsMultiPartUpload(uuid, uploadID, fileName) | |||
| err = storage.CompleteObsMultiPartUpload(uuid, uploadID, fileName, fileChunk.TotalChunks) | |||
| if err != nil { | |||
| ctx.Error(500, fmt.Sprintf("CompleteObsMultiPartUpload failed: %v", err)) | |||
| return | |||
| @@ -907,10 +892,9 @@ func CompleteMultipart(ctx *context.Context) { | |||
| ctx.Error(500, fmt.Sprintf("InsertAttachment: %v", err)) | |||
| return | |||
| } | |||
| attachment.UpdateDatasetUpdateUnix() | |||
| repository, _ := models.GetRepositoryByID(dataset.RepoID) | |||
| notification.NotifyOtherTask(ctx.User, repository, fmt.Sprint(attachment.Type), attachment.Name, models.ActionUploadAttachment) | |||
| notification.NotifyOtherTask(ctx.User, repository, fmt.Sprint(repository.IsPrivate, attachment.IsPrivate), attachment.Name, models.ActionUploadAttachment) | |||
| if attachment.DatasetID != 0 { | |||
| if isCanDecompress(attachment.Name) { | |||
| if typeCloudBrain == models.TypeCloudBrainOne { | |||
| @@ -947,34 +931,6 @@ func CompleteMultipart(ctx *context.Context) { | |||
| }) | |||
| } | |||
| func UpdateMultipart(ctx *context.Context) { | |||
| uuid := ctx.Query("uuid") | |||
| partNumber := ctx.QueryInt("chunkNumber") | |||
| etag := ctx.Query("etag") | |||
| fileChunk, err := models.GetFileChunkByUUID(uuid) | |||
| if err != nil { | |||
| if models.IsErrFileChunkNotExist(err) { | |||
| ctx.Error(404) | |||
| } else { | |||
| ctx.ServerError("GetFileChunkByUUID", err) | |||
| } | |||
| return | |||
| } | |||
| fileChunk.CompletedParts = append(fileChunk.CompletedParts, strconv.Itoa(partNumber)+"-"+strings.Replace(etag, "\"", "", -1)) | |||
| err = models.UpdateFileChunk(fileChunk) | |||
| if err != nil { | |||
| ctx.Error(500, fmt.Sprintf("UpdateFileChunk: %v", err)) | |||
| return | |||
| } | |||
| ctx.JSON(200, map[string]string{ | |||
| "result_code": "0", | |||
| }) | |||
| } | |||
| func HandleUnDecompressAttachment() { | |||
| attachs, err := models.GetUnDecompressAttachments() | |||
| if err != nil { | |||
| @@ -59,6 +59,7 @@ var ( | |||
| ) | |||
| const BENCHMARK_TYPE_CODE = "repo.cloudbrain.benchmark.types" | |||
| const CLONE_FILE_PREFIX = "file:///" | |||
| var benchmarkTypesMap = make(map[string]*models.BenchmarkTypes, 0) | |||
| @@ -702,6 +703,53 @@ func CloudBrainCommitImageCheck(ctx *context.Context, form auth.CommitImageCloud | |||
| } | |||
| func CloudBrainAdminCommitImage(ctx *context.Context, form auth.CommitAdminImageCloudBrainForm) { | |||
| if !NamePattern.MatchString(form.Tag) { | |||
| ctx.JSON(http.StatusOK, models.BaseErrorMessage(ctx.Tr("dataset.title_format_err"))) | |||
| return | |||
| } | |||
| if utf8.RuneCountInString(form.Description) > 255 { | |||
| ctx.JSON(http.StatusOK, models.BaseErrorMessage(ctx.Tr("dataset.description_format_err", 255))) | |||
| return | |||
| } | |||
| validTopics, errMessage := checkTopics(form.Topics) | |||
| if errMessage != "" { | |||
| ctx.JSON(http.StatusOK, models.BaseErrorMessage(ctx.Tr(errMessage))) | |||
| return | |||
| } | |||
| err := cloudbrain.CommitAdminImage(models.CommitImageParams{ | |||
| CommitImageCloudBrainParams: models.CommitImageCloudBrainParams{ | |||
| ImageDescription: form.Description, | |||
| ImageTag: form.Tag, | |||
| }, | |||
| IsPrivate: form.IsPrivate, | |||
| CloudBrainType: form.Type, | |||
| Topics: validTopics, | |||
| UID: ctx.User.ID, | |||
| Type: models.GetRecommondType(form.IsRecommend), | |||
| Place: form.Place, | |||
| }) | |||
| if err != nil { | |||
| log.Error("CommitImagefailed") | |||
| if models.IsErrImageTagExist(err) { | |||
| ctx.JSON(200, models.BaseErrorMessage(ctx.Tr("repo.image_exist"))) | |||
| } else if models.IsErrorImageCommitting(err) { | |||
| ctx.JSON(200, models.BaseErrorMessage(ctx.Tr("repo.image_committing"))) | |||
| } else { | |||
| ctx.JSON(200, models.BaseErrorMessage(ctx.Tr("repo.image_commit_fail"))) | |||
| } | |||
| return | |||
| } | |||
| ctx.JSON(200, models.BaseOKMessage) | |||
| } | |||
| func CloudBrainCommitImage(ctx *context.Context, form auth.CommitImageCloudBrainForm) { | |||
| if !NamePattern.MatchString(form.Tag) { | |||
| @@ -1142,7 +1190,8 @@ func GetRate(ctx *context.Context) { | |||
| } | |||
| func downloadCode(repo *models.Repository, codePath, branchName string) error { | |||
| if err := git.Clone(repo.RepoPath(), codePath, git.CloneRepoOptions{Branch: branchName}); err != nil { | |||
| //add "file:///" prefix to make the depth valid | |||
| if err := git.Clone(CLONE_FILE_PREFIX+repo.RepoPath(), codePath, git.CloneRepoOptions{Branch: branchName, Depth: 1}); err != nil { | |||
| log.Error("Failed to clone repository: %s (%v)", repo.FullName(), err) | |||
| return err | |||
| } | |||
| @@ -1202,7 +1251,7 @@ func downloadRateCode(repo *models.Repository, taskName, rateOwnerName, rateRepo | |||
| return err | |||
| } | |||
| if err := git.Clone(repoExt.RepoPath(), codePath, git.CloneRepoOptions{}); err != nil { | |||
| if err := git.Clone(CLONE_FILE_PREFIX+repoExt.RepoPath(), codePath, git.CloneRepoOptions{Depth: 1}); err != nil { | |||
| log.Error("Failed to clone repository: %s (%v)", repoExt.FullName(), err) | |||
| return err | |||
| } | |||
| @@ -358,6 +358,7 @@ func MyDatasets(ctx *context.Context) { | |||
| NeedIsPrivate: false, | |||
| JustNeedZipFile: true, | |||
| NeedRepoInfo: true, | |||
| RecommendOnly: ctx.QueryBool("recommend"), | |||
| }) | |||
| if err != nil { | |||
| ctx.ServerError("datasets", err) | |||
| @@ -398,6 +399,7 @@ func PublicDataset(ctx *context.Context) { | |||
| Type: cloudbrainType, | |||
| JustNeedZipFile: true, | |||
| NeedRepoInfo: true, | |||
| RecommendOnly: ctx.QueryBool("recommend"), | |||
| }) | |||
| if err != nil { | |||
| ctx.ServerError("datasets", err) | |||
| @@ -454,6 +456,7 @@ func MyFavoriteDataset(ctx *context.Context) { | |||
| Type: cloudbrainType, | |||
| JustNeedZipFile: true, | |||
| NeedRepoInfo: true, | |||
| RecommendOnly: ctx.QueryBool("recommend"), | |||
| }) | |||
| if err != nil { | |||
| ctx.ServerError("datasets", err) | |||
| @@ -256,6 +256,10 @@ func HTTP(ctx *context.Context) { | |||
| models.EnvPusherName + "=" + authUser.Name, | |||
| models.EnvPusherID + fmt.Sprintf("=%d", authUser.ID), | |||
| models.EnvIsDeployKey + "=false", | |||
| models.EnvRepoSize + "=" + fmt.Sprint(repo.Size), | |||
| models.EnvRepoMaxFileSize + "=" + fmt.Sprint(setting.Repository.Upload.FileMaxSize), | |||
| models.EnvRepoMaxSize + "=" + fmt.Sprint(setting.Repository.RepoMaxSize), | |||
| models.EnvPushSizeCheckFlag + "=" + fmt.Sprint(setting.Repository.Upload.ShellFlag), | |||
| } | |||
| if !authUser.KeepEmailPrivate { | |||
| environ = append(environ, models.EnvPusherEmail+"="+authUser.Email) | |||
| @@ -247,7 +247,9 @@ func Notebook2Create(ctx *context.Context, form auth.CreateModelArtsNotebookForm | |||
| func NotebookShow(ctx *context.Context) { | |||
| ctx.Data["PageIsCloudBrain"] = true | |||
| debugListType := ctx.Query("debugListType") | |||
| if debugListType == "" { | |||
| debugListType = "all" | |||
| } | |||
| var ID = ctx.Params(":id") | |||
| task, err := models.GetCloudbrainByIDWithDeleted(ID) | |||
| if err != nil { | |||
| @@ -1027,10 +1029,8 @@ func TrainJobCreate(ctx *context.Context, form auth.CreateModelArtsTrainJobForm) | |||
| gitRepo, _ := git.OpenRepository(repo.RepoPath()) | |||
| commitID, _ := gitRepo.GetBranchCommitID(branch_name) | |||
| if err := git.Clone(repo.RepoPath(), codeLocalPath, git.CloneRepoOptions{ | |||
| Branch: branch_name, | |||
| }); err != nil { | |||
| log.Error("Create task failed, server timed out: %s (%v)", repo.FullName(), err) | |||
| if err := downloadCode(repo, codeLocalPath, branch_name); err != nil { | |||
| log.Error("downloadCode failed, server timed out: %s (%v)", repo.FullName(), err) | |||
| trainJobErrorNewDataPrepare(ctx, form) | |||
| ctx.RenderWithErr("Create task failed, server timed out", tplModelArtsTrainJobNew, &form) | |||
| return | |||
| @@ -1245,9 +1245,7 @@ func TrainJobCreateVersion(ctx *context.Context, form auth.CreateModelArtsTrainJ | |||
| gitRepo, _ := git.OpenRepository(repo.RepoPath()) | |||
| commitID, _ := gitRepo.GetBranchCommitID(branch_name) | |||
| if err := git.Clone(repo.RepoPath(), codeLocalPath, git.CloneRepoOptions{ | |||
| Branch: branch_name, | |||
| }); err != nil { | |||
| if err := downloadCode(repo, codeLocalPath, branch_name); err != nil { | |||
| log.Error("Failed git clone repo to local(!: %s (%v)", repo.FullName(), err) | |||
| versionErrorDataPrepare(ctx, form) | |||
| ctx.RenderWithErr("Failed git clone repo to local!", tplModelArtsTrainJobVersionNew, &form) | |||
| @@ -1874,9 +1872,7 @@ func InferenceJobCreate(ctx *context.Context, form auth.CreateModelArtsInference | |||
| gitRepo, _ := git.OpenRepository(repo.RepoPath()) | |||
| commitID, _ := gitRepo.GetBranchCommitID(branch_name) | |||
| if err := git.Clone(repo.RepoPath(), codeLocalPath, git.CloneRepoOptions{ | |||
| Branch: branch_name, | |||
| }); err != nil { | |||
| if err := downloadCode(repo, codeLocalPath, branch_name); err != nil { | |||
| log.Error("Create task failed, server timed out: %s (%v)", repo.FullName(), err) | |||
| inferenceJobErrorNewDataPrepare(ctx, form) | |||
| ctx.RenderWithErr("Create task failed, server timed out", tplModelArtsInferenceJobNew, &form) | |||
| @@ -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.codemergecount"), | |||
| "D1": ctx.Tr("user.static.UserIndex"), | |||
| "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, userRecord.CodeMergeCount) | |||
| xlsx.SetCellValue(sheetName, "D"+rows, fmt.Sprintf("%.2f", userRecord.UserIndex)) | |||
| 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.codemergecount"), | |||
| "D1": ctx.Tr("user.static.UserIndex"), | |||
| "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, userRecord.CodeMergeCount) | |||
| xlsx.SetCellValue(sheetName, "D"+rows, fmt.Sprintf("%.2f", userRecord.UserIndex)) | |||
| 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 | |||
| @@ -525,6 +525,7 @@ func RegisterRoutes(m *macaron.Macaron) { | |||
| m.Group("/datasets", func() { | |||
| m.Get("", admin.Datasets) | |||
| m.Put("/:id/action/:action", admin.DatasetAction) | |||
| // m.Post("/delete", admin.DeleteDataset) | |||
| }) | |||
| m.Group("/cloudbrains", func() { | |||
| @@ -534,6 +535,8 @@ func RegisterRoutes(m *macaron.Macaron) { | |||
| m.Group("/images", func() { | |||
| m.Get("", admin.Images) | |||
| m.Get("/data", repo.GetAllImages) | |||
| m.Get("/commit_image", admin.CloudBrainCommitImageShow) | |||
| m.Post("/commit_image", bindIgnErr(auth.CommitAdminImageCloudBrainForm{}), repo.CloudBrainAdminCommitImage) | |||
| }) | |||
| m.Put("/image/:id/action/:action", image.Action) | |||
| @@ -608,12 +611,11 @@ func RegisterRoutes(m *macaron.Macaron) { | |||
| m.Put("/obs_proxy_multipart", repo.PutOBSProxyUpload) | |||
| m.Get("/obs_proxy_download", repo.GetOBSProxyDownload) | |||
| m.Get("/get_multipart_url", repo.GetMultipartUploadUrl) | |||
| m.Post("/complete_multipart", repo.CompleteMultipart) | |||
| m.Post("/update_chunk", repo.UpdateMultipart) | |||
| }, reqSignIn) | |||
| m.Group("/attachments", func() { | |||
| m.Post("/decompress_done_notify", repo.UpdateAttachmentDecompressState) | |||
| m.Post("/complete_multipart", repo.CompleteMultipart) | |||
| }) | |||
| m.Group("/attachments", func() { | |||
| @@ -183,7 +183,7 @@ func searchRepoByLabel(ctx *context.Context, Key string, Page int, PageSize int) | |||
| topicsQuery := elastic.NewMatchQuery("topics", Key) | |||
| boolQ.Should(topicsQuery) | |||
| res, err := client.Search("repository-es-index").Query(boolQ).SortBy(getSort(SortBy, ascending)).From(from).Size(Size).Highlight(queryHighlight("topics")).Do(ctx.Req.Context()) | |||
| res, err := client.Search("repository-es-index").Query(boolQ).SortBy(getSort(SortBy, ascending, "updated_unix.keyword", false)...).From(from).Size(Size).Highlight(queryHighlight("topics")).Do(ctx.Req.Context()) | |||
| if err == nil { | |||
| searchJson, _ := json.Marshal(res) | |||
| log.Info("searchJson=" + string(searchJson)) | |||
| @@ -200,15 +200,18 @@ func searchRepoByLabel(ctx *context.Context, Key string, Page int, PageSize int) | |||
| } | |||
| } | |||
| func getSort(SortBy string, ascending bool) elastic.Sorter { | |||
| var sort elastic.Sorter | |||
| sort = elastic.NewScoreSort() | |||
| if SortBy != "" { | |||
| if SortBy == "default" { | |||
| return sort | |||
| func getSort(SortBy string, ascending bool, secondSortBy string, secondAscending bool) []elastic.Sorter { | |||
| sort := make([]elastic.Sorter, 0) | |||
| if SortBy == "default" || SortBy == "" { | |||
| sort = append(sort, elastic.NewScoreSort()) | |||
| if secondSortBy != "" { | |||
| log.Info("SortBy=" + SortBy + " secondSortBy=" + secondSortBy) | |||
| sort = append(sort, elastic.NewFieldSort(secondSortBy).Order(secondAscending)) | |||
| } | |||
| return elastic.NewFieldSort(SortBy).Order(ascending) | |||
| } else { | |||
| sort = append(sort, elastic.NewFieldSort(SortBy).Order(ascending)) | |||
| } | |||
| log.Info("sort size=" + fmt.Sprint(len(sort))) | |||
| return sort | |||
| } | |||
| @@ -308,7 +311,7 @@ func searchRepo(ctx *context.Context, TableName string, Key string, Page int, Pa | |||
| topicsQuery := elastic.NewMatchQuery("topics", Key).Boost(1).QueryName("f_third") | |||
| boolQ.Should(nameQuery, descriptionQuery, topicsQuery) | |||
| res, err := client.Search(TableName).Query(boolQ).SortBy(getSort(SortBy, ascending)).From(from).Size(Size).Highlight(queryHighlight("alias", "description", "topics")).Do(ctx.Req.Context()) | |||
| res, err := client.Search(TableName).Query(boolQ).SortBy(getSort(SortBy, ascending, "num_stars", false)...).From(from).Size(Size).Highlight(queryHighlight("alias", "description", "topics")).Do(ctx.Req.Context()) | |||
| if err == nil { | |||
| searchJson, _ := json.Marshal(res) | |||
| log.Info("searchJson=" + string(searchJson)) | |||
| @@ -330,7 +333,7 @@ func searchRepo(ctx *context.Context, TableName string, Key string, Page int, Pa | |||
| } else { | |||
| log.Info("query all content.") | |||
| //搜索的属性要指定{"timestamp":{"unmapped_type":"date"}} | |||
| res, err := client.Search(TableName).SortBy(getSort(SortBy, ascending)).From(from).Size(Size).Do(ctx.Req.Context()) | |||
| res, err := client.Search(TableName).SortBy(getSort(SortBy, ascending, "updated_unix.keyword", false)...).From(from).Size(Size).Do(ctx.Req.Context()) | |||
| if err == nil { | |||
| searchJson, _ := json.Marshal(res) | |||
| log.Info("searchJson=" + string(searchJson)) | |||
| @@ -691,7 +694,7 @@ func searchUserOrOrg(ctx *context.Context, TableName string, Key string, Page in | |||
| boolQ.Must(UserOrOrgQuery) | |||
| } | |||
| res, err := client.Search(TableName).Query(boolQ).SortBy(getSort(SortBy, ascending)).From((Page - 1) * PageSize).Size(PageSize).Highlight(queryHighlight("name", "full_name", "description")).Do(ctx.Req.Context()) | |||
| res, err := client.Search(TableName).Query(boolQ).SortBy(getSort(SortBy, ascending, "updated_unix.keyword", false)...).From((Page - 1) * PageSize).Size(PageSize).Highlight(queryHighlight("name", "full_name", "description")).Do(ctx.Req.Context()) | |||
| if err == nil { | |||
| searchJson, _ := json.Marshal(res) | |||
| log.Info("searchJson=" + string(searchJson)) | |||
| @@ -849,7 +852,7 @@ func searchDataSet(ctx *context.Context, TableName string, Key string, Page int, | |||
| fileNameQuery := elastic.NewMatchQuery("file_name", Key).Boost(1).QueryName("f_third") | |||
| categoryQuery := elastic.NewMatchQuery("category", Key).Boost(1).QueryName("f_fourth") | |||
| boolQ.Should(nameQuery, descQuery, categoryQuery, fileNameQuery) | |||
| res, err := client.Search(TableName).Query(boolQ).SortBy(getSort(SortBy, ascending)).From(from).Size(Size).Highlight(queryHighlight("title", "description", "file_name", "category")).Do(ctx.Req.Context()) | |||
| res, err := client.Search(TableName).Query(boolQ).SortBy(getSort(SortBy, ascending, "updated_unix.keyword", false)...).From(from).Size(Size).Highlight(queryHighlight("title", "description", "file_name", "category")).Do(ctx.Req.Context()) | |||
| if err == nil { | |||
| searchJson, _ := json.Marshal(res) | |||
| log.Info("searchJson=" + string(searchJson)) | |||
| @@ -864,7 +867,7 @@ func searchDataSet(ctx *context.Context, TableName string, Key string, Page int, | |||
| } else { | |||
| log.Info("query all datasets.") | |||
| //搜索的属性要指定{"timestamp":{"unmapped_type":"date"}} | |||
| res, err := client.Search(TableName).SortBy(getSort(SortBy, ascending)).From(from).Size(Size).Do(ctx.Req.Context()) | |||
| res, err := client.Search(TableName).SortBy(getSort(SortBy, ascending, "updated_unix.keyword", false)...).From(from).Size(Size).Do(ctx.Req.Context()) | |||
| if err == nil { | |||
| searchJson, _ := json.Marshal(res) | |||
| log.Info("searchJson=" + string(searchJson)) | |||
| @@ -1057,7 +1060,7 @@ func searchIssueOrPr(ctx *context.Context, TableName string, Key string, Page in | |||
| boolQ.Must(isIssueQuery) | |||
| } | |||
| res, err := client.Search(TableName).Query(boolQ).SortBy(getSort(SortBy, ascending)).From(from).Size(Size).Highlight(queryHighlight("name", "content", "comment")).Do(ctx.Req.Context()) | |||
| res, err := client.Search(TableName).Query(boolQ).SortBy(getSort(SortBy, ascending, "updated_unix.keyword", false)...).From(from).Size(Size).Highlight(queryHighlight("name", "content", "comment")).Do(ctx.Req.Context()) | |||
| if err == nil { | |||
| searchJson, _ := json.Marshal(res) | |||
| log.Info("searchJson=" + string(searchJson)) | |||
| @@ -804,6 +804,7 @@ func Cloudbrains(ctx *context.Context) { | |||
| repos, _, err := models.SearchRepository(&models.SearchRepoOptions{ | |||
| Actor: ctx.User, | |||
| OwnerID: ctxUser.ID, | |||
| Private: true, | |||
| }) | |||
| if err != nil { | |||
| ctx.ServerError("SearchRepository", err) | |||
| @@ -106,9 +106,9 @@ func Profile(ctx *context.Context) { | |||
| for _, org := range orgs { | |||
| _, repoCount, err := models.SearchRepository(&models.SearchRepoOptions{ | |||
| OwnerID: org.ID, | |||
| Private: ctx.IsSigned, | |||
| Actor: ctx.User, | |||
| OwnerID: org.ID, | |||
| Private: ctx.IsSigned, | |||
| Actor: ctx.User, | |||
| }) | |||
| if err != nil { | |||
| ctx.ServerError("SearchRepository", err) | |||
| @@ -175,6 +175,8 @@ func Profile(ctx *context.Context) { | |||
| orderBy = models.SearchOrderByAlphabeticallyReverse | |||
| case "alphabetically": | |||
| orderBy = models.SearchOrderByAlphabetically | |||
| case "downloadtimes": | |||
| orderBy = models.SearchOrderByDownloadTimes | |||
| case "moststars": | |||
| orderBy = models.SearchOrderByStarsReverse | |||
| case "feweststars": | |||
| @@ -10,7 +10,7 @@ import ( | |||
| "github.com/elliotchance/orderedmap" | |||
| ) | |||
| var opTypes = []int{1, 2, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17, 22, 23, 25, 26, 27, 28, 29, 30, 31} | |||
| var opTypes = []int{1, 2, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31} | |||
| type ClientsManager struct { | |||
| Clients *orderedmap.OrderedMap | |||
| @@ -0,0 +1,128 @@ | |||
| <style> | |||
| .label_color{ | |||
| color:#505559 !important; | |||
| width: 6% !important; | |||
| text-align: center; | |||
| } | |||
| </style> | |||
| {{template "base/head" .}} | |||
| <div id="mask"> | |||
| <div id="loadingPage"> | |||
| <div class="rect1"></div> | |||
| <div class="rect2"></div> | |||
| <div class="rect3"></div> | |||
| <div class="rect4"></div> | |||
| <div class="rect5"></div> | |||
| </div> | |||
| </div> | |||
| <div class="repository"> | |||
| {{template "repo/header" .}} | |||
| <div class="alert"></div> | |||
| <div class="ui container"> | |||
| <div> | |||
| <div class="ui negative message" style="display: none;"> | |||
| </div> | |||
| <div class="ui info message" style="display: none;"> | |||
| </div> | |||
| <div class="ui positive message" style="display: none;"> | |||
| </div> | |||
| <h4 class="ui top attached header"> | |||
| {{.i18n.Tr "repo.submit_image"}} | |||
| </h4> | |||
| <div class="submit-image-tmplvalue" style="display: none;" data-link="{{$.Link}}" data-edit-page="{{.PageIsAdminImages}}"></div> | |||
| <div class="ui attached segment" style="padding: 2em 3em;padding-bottom: 7rem;"> | |||
| <div class="ui form" id="form_image"> | |||
| <input type="hidden" name="edit" value="edit"> | |||
| {{.CsrfTokenHtml}} | |||
| <div class="inline field"> | |||
| <label class="label_color" for="">{{$.i18n.Tr "dataset.dataset_available_clusters"}}</label> | |||
| <div class="ui basic label" style="border: none !important;color:#3291f8;"> | |||
| <svg class="svg" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="14" height="14"><path fill="none" d="M0 0h24v24H0z"></path><path d="M4 3h16a1 1 0 0 1 1 1v7H3V4a1 1 0 0 1 1-1zM3 13h18v7a1 1 0 0 1-1 1H4a1 1 0 0 1-1-1v-7zm4 3v2h3v-2H7zM7 6v2h3V6H7z"></path></svg> | |||
| CPU/GPU | |||
| </div> | |||
| <input type="hidden" value="{{.Type}}" name="type"> | |||
| </div> | |||
| <div class="inline required field"> | |||
| <label class="label_color" for="">{{$.i18n.Tr "repo.images.name"}}</label> | |||
| <input type="text" name="tag" required placeholder="{{$.i18n.Tr "repo.images.name_placerholder"}}" style="width: 80%;" maxlength="100"> | |||
| <span class="tooltips" style="display: block;padding-left: 0.5rem;">{{.i18n.Tr "repo.images.name_rule"}}</span> | |||
| </div> | |||
| <div class="inline required field"> | |||
| <label class="label_color" for="">{{$.i18n.Tr "repo.images"}}</label> | |||
| <input type="text" name="place" required placeholder="{{$.i18n.Tr "cloudbrain.input_mirror"}}" style="width: 80%;" maxlength="100"> | |||
| </div> | |||
| <div class="inline required field"> | |||
| <label class="label_color" for="">{{$.i18n.Tr "dataset.description"}}</label> | |||
| <textarea style="width: 80%;" required id="description" name="description" rows="3" maxlength="255" placeholder={{.i18n.Tr "repo.modelarts.train_job.new_place"}} onchange="this.value=this.value.substring(0, 255)" onkeydown="this.value=this.value.substring(0, 255)" onkeyup="this.value=this.value.substring(0, 255)"></textarea> | |||
| </div> | |||
| <div class="inline field" style="display: flex;align-items: center;"> | |||
| <label class="label_color" for="">{{$.i18n.Tr "repo.model.manage.label"}}</label> | |||
| <div class="ui multiple search selection dropdown" id="dropdown_image" style="width: 80%;"> | |||
| <input type="hidden" name="topics" value="" required> | |||
| <div class="default text" id="default_text">{{.i18n.Tr "repo.repo_label_helpe"}}</div> | |||
| <div class="menu" id="course_label_item"></div> | |||
| </div> | |||
| </div> | |||
| <span class="tooltips" style="display: block;padding-left: 0.5rem;margin-top: 0.5rem;margin-bottom: 1rem;">{{.i18n.Tr "repo.image.label_tooltips"}}</span> | |||
| <div class="inline fields"> | |||
| <label class="label_color" for="" style="visibility: hidden;"></label> | |||
| <div class="field"> | |||
| <div class="ui radio checkbox"> | |||
| <input type="radio" name="isRecommend" checked="checked" value="true"> | |||
| <label>{{.i18n.Tr "admin.images.recommend"}}</label> | |||
| </div> | |||
| </div> | |||
| <div class="field" style="flex: 0.15;"> | |||
| <div class="ui radio checkbox" > | |||
| <input type="radio" name="isRecommend" value="false"> | |||
| <label>{{.i18n.Tr "admin.images.unrecommend"}}</label> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| <div class="inline fields"> | |||
| <label class="label_color" for="" style="visibility: hidden;"></label> | |||
| <div class="field"> | |||
| <div class="ui radio checkbox"> | |||
| <input type="radio" name="isPrivate" checked="checked" value="false"> | |||
| <label>{{.i18n.Tr "org.settings.visibility.public"}}</label> | |||
| </div> | |||
| </div> | |||
| <div class="field" style="flex: 0.15;"> | |||
| <div class="ui radio checkbox" > | |||
| <input type="radio" name="isPrivate" value="true"> | |||
| <label>{{.i18n.Tr "home.show_private"}}</label> | |||
| </div> | |||
| </div> | |||
| <div class="field"> | |||
| <span class="label_color">{{.i18n.Tr "repo.images.public_tooltips"}}</span> | |||
| </div> | |||
| </div> | |||
| <div class="inline required field" style="padding-top: 2rem;"> | |||
| <label class="label_color" for="" style="visibility: hidden;"></label> | |||
| <button class="ui create_image green button" type="button"> | |||
| {{.i18n.Tr "repo.cloudbrain.commit_image"}} | |||
| </button> | |||
| <a class="ui button" id="cancel_submit_image">{{.i18n.Tr "repo.cloudbrain.cancel"}}</a> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| <!-- 确认模态框 --> | |||
| <div> | |||
| <div class="ui modal image_confirm_submit"> | |||
| <div class="header">{{.i18n.Tr "repo.submit_image"}}</div> | |||
| <div class="content text red center"> | |||
| <p><i class="exclamation icon"></i>{{.i18n.Tr "repo.image_overwrite"}}</p> | |||
| </div> | |||
| <div class="actions"> | |||
| <button class="ui deny small button">{{.i18n.Tr "cloudbrain.operate_cancel"}}</button> | |||
| <button class="ui green small approve button">{{.i18n.Tr "cloudbrain.operate_confirm"}}</button> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| {{template "base/footer" .}} | |||
| @@ -162,9 +162,9 @@ | |||
| {{end}} | |||
| </div> | |||
| <!-- 删除任务 --> | |||
| <form class="ui compact buttons" id="delForm-{{$JobID}}" action='{{AppSubUrl}}/{{.Repo.OwnerName}}/{{.Repo.Name}}{{if eq .JobType "BENCHMARK"}}/cloudbrain/benchmark{{else if eq .JobType "DEBUG"}}{{if eq .ComputeResource "NPU"}}/modelarts/notebook{{else}}/cloudbrain{{end}}{{else if eq .JobType "TRAIN"}}{{if eq .ComputeResource "NPU"}}/modelarts/notebook{{else}}/cloudbrain{{end}}/train-job{{end}}/{{$JobID}}/del?isadminpage=true' method="post"> | |||
| <form class="ui compact buttons" id="delForm-{{$JobID}}" action='{{AppSubUrl}}/{{.Repo.OwnerName}}/{{.Repo.Name}}{{if eq .JobType "BENCHMARK"}}/cloudbrain/benchmark{{else if or (eq .JobType "SNN4IMAGENET") (eq .JobType "BRAINSCORE")}}/cloudbrain{{else if eq .JobType "DEBUG"}}{{if eq .ComputeResource "NPU"}}/modelarts/notebook{{else}}/cloudbrain{{end}}{{else if eq .JobType "TRAIN"}}{{if eq .ComputeResource "NPU"}}/modelarts/notebook{{else}}/cloudbrain{{end}}/train-job{{end}}/{{$JobID}}/del?isadminpage=true' method="post"> | |||
| {{$.CsrfTokenHtml}} | |||
| <a style="padding: 0.5rem 1rem;margin-left:0.2rem" id="ai-delete-{{$JobID}}" data-repopath="{{.Repo.OwnerName}}/{{.Repo.Name}}/modelarts/inference-job/{{$JobID}}/del_version?isadminpage=true" data-version="{{.VersionName}}" class="ui basic ai_delete blue button" style="border-radius: .28571429rem;"> | |||
| <a style="padding: 0.5rem 1rem;margin-left:0.2rem" id="ai-delete-{{$JobID}}" data-repopath="{{.Repo.OwnerName}}/{{.Repo.Name}}/modelarts/inference-job/{{$JobID}}/del_version?isadminpage=true" data-version="" class="ui basic ai_delete blue button" style="border-radius: .28571429rem;"> | |||
| {{$.i18n.Tr "repo.delete"}} | |||
| </a> | |||
| </form> | |||
| @@ -3,12 +3,23 @@ | |||
| {{template "admin/navbar" .}} | |||
| <div class="ui container"> | |||
| {{template "base/alert" .}} | |||
| <div class="ui negative message" style="display: none;"> | |||
| </div> | |||
| <h4 class="ui top attached header"> | |||
| {{.i18n.Tr "admin.datasets.dataset_manage_panel"}} ({{.i18n.Tr "admin.total" .Total}}) | |||
| </h4> | |||
| <div class="ui attached segment"> | |||
| {{template "admin/dataset/search" .}} | |||
| </div> | |||
| <div class="ui attached segment"> | |||
| <div class="ui ten wide column"> | |||
| <div class="ui checkbox" id="dataset_check"> | |||
| <input type="checkbox"> | |||
| <label>{{.i18n.Tr "admin.datasets.only_recommend"}}</label> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| <div class="ui attached table segment"> | |||
| <table class="ui very basic striped table"> | |||
| <thead> | |||
| @@ -24,10 +35,10 @@ | |||
| {{range .Datasets}} | |||
| <tr> | |||
| <td>{{.ID}}</td> | |||
| <td><a href="{{AppSubUrl}}/">{{.Title}}</a></td> | |||
| <td style="display: flex;align-items: center;"><a href="{{AppSubUrl}}/{{.Repo.OwnerName}}/{{.Repo.Alias}}/datasets">{{.Title}}</a>{{if .Recommend}}<img src="/img/jian.svg" style="margin-left: 0.5rem;">{{end}}</td> | |||
| <td><i class="fa fa{{if .IsPrivate}}-check{{end}}-square-o"></i></td> | |||
| <td><span title="{{.CreatedUnix.FormatLong}}">{{.CreatedUnix.FormatShort}}</span></td> | |||
| <td></td> | |||
| <td>{{if .Recommend}}<span class="set_dataset" style="color: rgb(250, 140, 22);cursor: pointer;" data-url="{{$.Link}}/{{.ID}}/action/unrecommend">{{$.i18n.Tr "admin.datasets.unrecommend"}}</span>{{else}}<span class="set_dataset" style="color: rgb(19, 194, 141);cursor: pointer;" data-url="{{$.Link}}/{{.ID}}/action/recommend">{{$.i18n.Tr "admin.datasets.recommend"}}</span>{{end}}</td> | |||
| </tr> | |||
| {{end}} | |||
| </tbody> | |||
| @@ -37,16 +48,4 @@ | |||
| {{template "base/paginate" .}} | |||
| </div> | |||
| </div> | |||
| <div class="ui small basic delete modal"> | |||
| <div class="ui icon header"> | |||
| <i class="trash icon"></i> | |||
| {{.i18n.Tr "dataset.settings.delete"}} | |||
| </div> | |||
| <div class="content"> | |||
| <p>{{.i18n.Tr "dataset.settings.delete_desc"}}</p> | |||
| {{.i18n.Tr "dataset.settings.delete_notices_2" `<span class="name"></span>` | Safe}}<br> | |||
| </div> | |||
| {{template "base/delete_modal_actions" .}} | |||
| </div> | |||
| {{template "base/footer" .}} | |||
| @@ -6,18 +6,18 @@ | |||
| <i class="dropdown icon"></i> | |||
| </span> | |||
| <div class="menu"> | |||
| <a class='{{if or (eq .SortType "oldest") (not .SortType)}}active{{end}} item' href='{{$.Link}}?sort=oldest&q={{$.Keyword}}'>{{.i18n.Tr "repo.issues.filter_sort.oldest"}}</a> | |||
| <a class='{{if eq .SortType "newest"}}active{{end}} item' href='{{$.Link}}?sort=newest&q={{$.Keyword}}'>{{.i18n.Tr "repo.issues.filter_sort.latest"}}</a> | |||
| <a class='{{if eq .SortType "alphabetically"}}active{{end}} item' href='{{$.Link}}?sort=alphabetically&q={{$.Keyword}}'>{{.i18n.Tr "repo.issues.label.filter_sort.alphabetically"}}</a> | |||
| <a class='{{if eq .SortType "reversealphabetically"}}active{{end}} item' href='{{$.Link}}?sort=reversealphabetically&q={{$.Keyword}}'>{{.i18n.Tr "repo.issues.label.filter_sort.reverse_alphabetically"}}</a> | |||
| <a class='{{if eq .SortType "recentupdate"}}active{{end}} item' href='{{$.Link}}?sort=recentupdate&q={{$.Keyword}}'>{{.i18n.Tr "repo.issues.filter_sort.recentupdate"}}</a> | |||
| <a class='{{if eq .SortType "leastupdate"}}active{{end}} item' href='{{$.Link}}?sort=leastupdate&q={{$.Keyword}}'>{{.i18n.Tr "repo.issues.filter_sort.leastupdate"}}</a> | |||
| <a class='{{if eq .SortType "moststars"}}active{{end}} item' href='{{$.Link}}?sort=moststars&q={{$.Keyword}}&tab={{$.TabName}}'>{{.i18n.Tr "repo.issues.filter_sort.moststars"}}</a> | |||
| <a class='{{if eq .SortType "feweststars"}}active{{end}} item' href='{{$.Link}}?sort=feweststars&q={{$.Keyword}}&tab={{$.TabName}}'>{{.i18n.Tr "repo.issues.filter_sort.feweststars"}}</a> | |||
| <a class='{{if eq .SortType "mostforks"}}active{{end}} item' href='{{$.Link}}?sort=mostforks&q={{$.Keyword}}&tab={{$.TabName}}'>{{.i18n.Tr "repo.issues.filter_sort.mostforks"}}</a> | |||
| <a class='{{if eq .SortType "fewestforks"}}active{{end}} item' href='{{$.Link}}?sort=fewestforks&q={{$.Keyword}}&tab={{$.TabName}}'>{{.i18n.Tr "repo.issues.filter_sort.fewestforks"}}</a> | |||
| <a class='{{if eq .SortType "size"}}active{{end}} item' href='{{$.Link}}?sort=size&q={{$.Keyword}}'>{{.i18n.Tr "repo.issues.label.filter_sort.by_size"}}</a> | |||
| <a class='{{if eq .SortType "reversesize"}}active{{end}} item' href='{{$.Link}}?sort=reversesize&q={{$.Keyword}}'>{{.i18n.Tr "repo.issues.label.filter_sort.reverse_by_size"}}</a> | |||
| <a class='{{if or (eq .SortType "oldest") (not .SortType)}}active{{end}} item' href='{{$.Link}}?sort=oldest&q={{$.Keyword}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.filter_sort.oldest"}}</a> | |||
| <a class='{{if eq .SortType "newest"}}active{{end}} item' href='{{$.Link}}?sort=newest&q={{$.Keyword}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.filter_sort.latest"}}</a> | |||
| <a class='{{if eq .SortType "alphabetically"}}active{{end}} item' href='{{$.Link}}?sort=alphabetically&q={{$.Keyword}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.label.filter_sort.alphabetically"}}</a> | |||
| <a class='{{if eq .SortType "reversealphabetically"}}active{{end}} item' href='{{$.Link}}?sort=reversealphabetically&q={{$.Keyword}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.label.filter_sort.reverse_alphabetically"}}</a> | |||
| <a class='{{if eq .SortType "recentupdate"}}active{{end}} item' href='{{$.Link}}?sort=recentupdate&q={{$.Keyword}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.filter_sort.recentupdate"}}</a> | |||
| <a class='{{if eq .SortType "leastupdate"}}active{{end}} item' href='{{$.Link}}?sort=leastupdate&q={{$.Keyword}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.filter_sort.leastupdate"}}</a> | |||
| <a class='{{if eq .SortType "moststars"}}active{{end}} item' href='{{$.Link}}?sort=moststars&q={{$.Keyword}}&tab={{$.TabName}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.filter_sort.moststars"}}</a> | |||
| <a class='{{if eq .SortType "feweststars"}}active{{end}} item' href='{{$.Link}}?sort=feweststars&q={{$.Keyword}}&tab={{$.TabName}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.filter_sort.feweststars"}}</a> | |||
| <a class='{{if eq .SortType "mostforks"}}active{{end}} item' href='{{$.Link}}?sort=mostforks&q={{$.Keyword}}&tab={{$.TabName}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.filter_sort.mostforks"}}</a> | |||
| <a class='{{if eq .SortType "fewestforks"}}active{{end}} item' href='{{$.Link}}?sort=fewestforks&q={{$.Keyword}}&tab={{$.TabName}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.filter_sort.fewestforks"}}</a> | |||
| <a class='{{if eq .SortType "size"}}active{{end}} item' href='{{$.Link}}?sort=size&q={{$.Keyword}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.label.filter_sort.by_size"}}</a> | |||
| <a class='{{if eq .SortType "reversesize"}}active{{end}} item' href='{{$.Link}}?sort=reversesize&q={{$.Keyword}}&recommend={{$.Recommend}}'>{{.i18n.Tr "repo.issues.label.filter_sort.reverse_by_size"}}</a> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| @@ -26,4 +26,4 @@ | |||
| <input name="q" value="{{.Keyword}}" placeholder='{{.i18n.Tr "explore.search"}}...' autofocus> | |||
| <button class="ui blue button">{{.i18n.Tr "explore.search"}}</button> | |||
| </div> | |||
| </form> | |||
| </form> | |||
| @@ -23,7 +23,7 @@ | |||
| <el-tab-pane label="{{.i18n.Tr "dataset.current_project"}}" name="first"> | |||
| <div style="display: flex;align-items: center;justify-content: space-between;padding: 1rem 0;border-bottom:1px solid #F5F5F5" v-for="(dataset,index) in currentRepoDataset" :key="index"> | |||
| <div style="width: 90%;"> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias} </span><span class="panel_dataset_name">${dataset.Name} </span></div> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><img v-if="dataset.Recommend" src="/img/jian.svg" style="margin-left: 0.5rem;"><span class="panel_dataset_name">${dataset.Name} </span></div> | |||
| <div style="margin-top: 8px;display: flex;"> | |||
| <a :title="dataset.UserName" style="cursor: default;"> | |||
| <img class="ui avatar mini image" style="width: 20px;height: 20px;" :src="dataset.RelAvatarLink"> | |||
| @@ -49,7 +49,7 @@ | |||
| <el-tab-pane label="{{.i18n.Tr "dataset.owner_dataset"}}" name="second"> | |||
| <div style="display: flex;align-items: center;justify-content: space-between;padding: 1rem 0;border-bottom:1px solid #F5F5F5" v-for="(dataset,index) in myDataset" :key="index"> | |||
| <div style="width: 90%;"> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><img v-if="dataset.Recommend" src="/img/jian.svg" style="margin-left: 0.5rem;"><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="margin-top: 8px;display: flex;"> | |||
| <a :title="dataset.UserName" style="cursor: default;"> | |||
| <img class="ui avatar mini image" style="width: 20px;height: 20px;" :src="dataset.RelAvatarLink"> | |||
| @@ -74,7 +74,7 @@ | |||
| <el-tab-pane label="{{.i18n.Tr "dataset.public_dataset"}}" name="third"> | |||
| <div style="display: flex;align-items: center;justify-content: space-between;padding: 1rem 0;border-bottom:1px solid #F5F5F5" v-for="(dataset,index) in publicDataset" :key="index"> | |||
| <div style="width: 90%;"> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><img v-if="dataset.Recommend" src="/img/jian.svg" style="margin-left: 0.5rem;"><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="margin-top: 8px;display: flex;"> | |||
| <a :title="dataset.UserName" style="cursor: default;"> | |||
| <img class="ui avatar mini image" style="width: 20px;height: 20px;" :src="dataset.RelAvatarLink"> | |||
| @@ -99,7 +99,7 @@ | |||
| <el-tab-pane label="{{.i18n.Tr "dataset.I_liked"}}" name="fourth"> | |||
| <div style="display: flex;align-items: center;justify-content: space-between;padding: 1rem 0;border-bottom:1px solid #F5F5F5" v-for="(dataset,index) in myFavoriteDataset" :key="index"> | |||
| <div style="width: 90%;"> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><img v-if="dataset.Recommend" src="/img/jian.svg" style="margin-left: 0.5rem;"><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="margin-top: 8px;display: flex;"> | |||
| <a :title="dataset.UserName" style="cursor: default;"> | |||
| <img class="ui avatar mini image" style="width: 20px;height: 20px;" :src="dataset.RelAvatarLink"> | |||
| @@ -23,7 +23,7 @@ | |||
| <el-tab-pane label="{{.i18n.Tr "dataset.current_project"}}" name="first"> | |||
| <div style="display: flex;align-items: center;justify-content: space-between;padding: 1rem 0;border-bottom:1px solid #F5F5F5" v-for="(dataset,index) in currentRepoDataset" :key="index"> | |||
| <div style="width: 90%;"> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias} </span><span class="panel_dataset_name">${dataset.Name} </span></div> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias} </span><img v-if="dataset.Recommend" src="/img/jian.svg" style="margin-left: 0.5rem;"><span class="panel_dataset_name">${dataset.Name} </span></div> | |||
| <div style="margin-top: 8px;display: flex;"> | |||
| <a :title="dataset.UserName" style="cursor: default;"> | |||
| <img class="ui avatar mini image" style="width: 20px;height: 20px;" :src="dataset.RelAvatarLink"> | |||
| @@ -49,7 +49,7 @@ | |||
| <el-tab-pane label="{{.i18n.Tr "dataset.owner_dataset"}}" name="second"> | |||
| <div style="display: flex;align-items: center;justify-content: space-between;padding: 1rem 0;border-bottom:1px solid #F5F5F5" v-for="(dataset,index) in myDataset" :key="index"> | |||
| <div style="width: 90%;"> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><img v-if="dataset.Recommend" src="/img/jian.svg" style="margin-left: 0.5rem;"><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="margin-top: 8px;display: flex;"> | |||
| <a :title="dataset.UserName" style="cursor: default;"> | |||
| <img class="ui avatar mini image" style="width: 20px;height: 20px;" :src="dataset.RelAvatarLink"> | |||
| @@ -74,7 +74,7 @@ | |||
| <el-tab-pane label="{{.i18n.Tr "dataset.public_dataset"}}" name="third"> | |||
| <div style="display: flex;align-items: center;justify-content: space-between;padding: 1rem 0;border-bottom:1px solid #F5F5F5" v-for="(dataset,index) in publicDataset" :key="index"> | |||
| <div style="width: 90%;"> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><img v-if="dataset.Recommend" src="/img/jian.svg" style="margin-left: 0.5rem;"><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="margin-top: 8px;display: flex;"> | |||
| <a :title="dataset.UserName" style="cursor: default;"> | |||
| <img class="ui avatar mini image" style="width: 20px;height: 20px;" :src="dataset.RelAvatarLink"> | |||
| @@ -99,7 +99,7 @@ | |||
| <el-tab-pane label="{{.i18n.Tr "dataset.I_liked"}}" name="fourth"> | |||
| <div style="display: flex;align-items: center;justify-content: space-between;padding: 1rem 0;border-bottom:1px solid #F5F5F5" v-for="(dataset,index) in myFavoriteDataset" :key="index"> | |||
| <div style="width: 90%;"> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="display: flex;align-items: center;"><span class="panel_creator_reponam">${dataset.Repo.OwnerName}/${dataset.Repo.Alias}</span><img v-if="dataset.Recommend" src="/img/jian.svg" style="margin-left: 0.5rem;"><span class="panel_dataset_name">${dataset.Name}</span></div> | |||
| <div style="margin-top: 8px;display: flex;"> | |||
| <a :title="dataset.UserName" style="cursor: default;"> | |||
| <img class="ui avatar mini image" style="width: 20px;height: 20px;" :src="dataset.RelAvatarLink"> | |||
| @@ -121,11 +121,12 @@ | |||
| <i class="dropdown icon"></i> | |||
| </span> | |||
| <div class="menu"> | |||
| <a class="{{if eq .SortType "newest"}}active{{end}} item" href="{{$.Link}}?sort=newest&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}">{{.i18n.Tr "repo.issues.filter_sort.latest"}}</a> | |||
| <a class="{{if eq .SortType "oldest"}}active{{end}} item" href="{{$.Link}}?sort=oldest&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}">{{.i18n.Tr "repo.issues.filter_sort.oldest"}}</a> | |||
| <a class="{{if eq .SortType "recentupdate"}}active{{end}} item" href="{{$.Link}}?sort=recentupdate&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}">{{.i18n.Tr "repo.issues.filter_sort.recentupdate"}}</a> | |||
| <a class="{{if eq .SortType "leastupdate"}}active{{end}} item" href="{{$.Link}}?sort=leastupdate&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}">{{.i18n.Tr "repo.issues.filter_sort.leastupdate"}}</a> | |||
| <!-- <a class="{{if eq .SortType "downloadtimes"}}active{{end}} item" href="{{$.Link}}?sort=downloadtimes&q={{$.Keyword}}&tab={{$.TabName}}">{{.i18n.Tr "repo.issues.filter_sort.downloadtimes"}}</a> --> | |||
| <a class="{{if eq .SortType "newest"}}active{{end}} item" href="{{$.Link}}?sort=newest&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}&recommend={{$.Recommend}}">{{.i18n.Tr "repo.issues.filter_sort.latest"}}</a> | |||
| <a class="{{if eq .SortType "oldest"}}active{{end}} item" href="{{$.Link}}?sort=oldest&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}&recommend={{$.Recommend}}">{{.i18n.Tr "repo.issues.filter_sort.oldest"}}</a> | |||
| <a class="{{if eq .SortType "recentupdate"}}active{{end}} item" href="{{$.Link}}?sort=recentupdate&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}&recommend={{$.Recommend}}">{{.i18n.Tr "repo.issues.filter_sort.recentupdate"}}</a> | |||
| <a class="{{if eq .SortType "leastupdate"}}active{{end}} item" href="{{$.Link}}?sort=leastupdate&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}&recommend={{$.Recommend}}">{{.i18n.Tr "repo.issues.filter_sort.leastupdate"}}</a> | |||
| <a class="{{if eq .SortType "downloadtimes"}}active{{end}} item" href="{{$.Link}}?sort=downloadtimes&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}&recommend={{$.Recommend}}">{{.i18n.Tr "repo.issues.filter_sort.downloadtimes"}}</a> | |||
| <a class="{{if eq .SortType "moststars"}}active{{end}} item" href="{{$.Link}}?sort=moststars&q={{$.Keyword}}&tab={{$.TabName}}&category={{$.Category}}&task={{$.Task}}&license={{$.License}}&recommend={{$.Recommend}}">{{.i18n.Tr "repo.issues.filter_sort.moststars"}}</a> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| @@ -139,6 +140,7 @@ | |||
| {{end}} | |||
| <div class="ui row" style="clear: both;" id="dataset-base"> | |||
| <el-checkbox v-model="checked" style="padding: 0.5rem 1rem;" @change="handleCheckedChange" >仅显示平台推荐</el-checkbox> | |||
| <div class="ui two cards"> | |||
| {{range $k, $v :=.Datasets}} | |||
| <div class="ui card" @click="gotoDataset('{{.Repo.Link}}/datasets')" style="cursor: pointer;box-shadow: 0px 4px 4px 0px rgba(232,232,232,0.6);border: 1px solid rgba(232, 232, 232, 1);"> | |||
| @@ -161,7 +163,7 @@ | |||
| </span> | |||
| {{end}} | |||
| </div> | |||
| <div style="font-size: 16px;color:#0366D6;font-family: SourceHanSansSC-medium;height: 27px;font-weight: bold;">{{.Title}}</div> | |||
| <div style="font-size: 16px;color:#0366D6;font-family: SourceHanSansSC-medium;height: 27px;font-weight: bold;display: flex;align-items: center"><span title="{{.Title}}" class="nowrap" style="display: inline-block;">{{.Title}}</span>{{if .Recommend}}<img src="/img/jian.svg" style="margin-left: 0.5rem;">{{end}}</div> | |||
| {{if or (.Category) (.Task) (.License)}} | |||
| <div style="font-size: 12px;margin-top: 5px;"> | |||
| {{if .Category}} | |||
| @@ -179,7 +179,26 @@ | |||
| </div> | |||
| </div> | |||
| <input id="store_category" type="hidden" name="get_benchmark_category"> | |||
| <div class="inline required field"> | |||
| <label>{{.i18n.Tr "repo.modelarts.code_version"}}</label> | |||
| <select class="ui dropdown width80 left2" id="code_version" name="branch_name"> | |||
| {{if .branch_name}} | |||
| <option name="branch_name" value="{{.branch_name}}">{{.branch_name}}</option> | |||
| {{range $k, $v :=.Branches}} | |||
| {{ if ne $v $.branch_name }} | |||
| <option name="branch_name" value="{{$v}}">{{$v}}</option> | |||
| {{end}} | |||
| {{end}} | |||
| {{else}} | |||
| <option name="branch_name" value="{{.branchName}}">{{.branchName}}</option> | |||
| {{range $k, $v :=.Branches}} | |||
| {{ if ne $v $.branchName }} | |||
| <option name="branch_name" value="{{$v}}">{{$v}}</option> | |||
| {{end}} | |||
| {{end}} | |||
| {{end}} | |||
| </select> | |||
| </div> | |||
| <div class="inline required field"> | |||
| <label>{{.i18n.Tr "cloudbrain.gpu_type"}}</label> | |||
| <select id="cloudbrain_gpu_type" class="ui search dropdown" placeholder="选择GPU类型" style='width:385px' name="gpu_type"> | |||
| @@ -187,7 +187,7 @@ td, th { | |||
| {{.i18n.Tr "repo.cloudbrain"}} | |||
| </a> | |||
| <div class="divider"> / </div> | |||
| <a class="section backTodeBug" href="{{.RepoLink}}/debugjob?debugListType={{if eq $.debugListType "NPU"}}NPU{{else if eq $.debugListType "CPU/GPU"}}CPU/GPU{{else}}all{{end}}"> | |||
| <a class="section backTodeBug" href="{{.RepoLink}}/debugjob?debugListType=all"> | |||
| {{$.i18n.Tr "repo.modelarts.notebook"}} | |||
| </a> | |||
| <div class="divider"> / </div> | |||
| @@ -281,7 +281,7 @@ | |||
| </span> | |||
| <el-dropdown-menu slot="dropdown"> | |||
| <el-dropdown-item class="clipboard" data-clipboard-text="{{.DownloadURL}}" data-clipboard-action="copy">{{$.i18n.Tr "dataset.copy_url"}}</el-dropdown-item> | |||
| <el-dropdown-item class="clipboard" data-clipboard-text="{{.Md5}}" data-clipboard-action="copy">{{$.i18n.Tr "dataset.copy_md5"}}</el-dropdown-item> | |||
| <!-- <el-dropdown-item class="clipboard" data-clipboard-text="{{.Md5}}" data-clipboard-action="copy">{{$.i18n.Tr "dataset.copy_md5"}}</el-dropdown-item>--> | |||
| {{if and ($.CanWrite) (eq .DecompressState 1) }} | |||
| <el-dropdown-item @click.native="gotoAnnotate('{{$.RepoLink}}','{{.UUID}}',{{.Type}})">{{$.i18n.Tr "dataset.annotation"}}</el-dropdown-item> | |||
| {{end}} | |||
| @@ -193,7 +193,7 @@ td, th { | |||
| {{.i18n.Tr "repo.cloudbrain"}} | |||
| </a> | |||
| <div class="divider"> / </div> | |||
| <a class="section backTodeBug" href="{{.RepoLink}}/debugjob?debugListType={{if eq $.debugListType "NPU"}}NPU{{else if eq $.debugListType "CPU/GPU"}}CPU/GPU{{else}}all{{end}}"> | |||
| <a class="section backTodeBug" href="{{.RepoLink}}/debugjob?debugListType=all"> | |||
| {{$.i18n.Tr "repo.modelarts.notebook"}} | |||
| </a> | |||
| <div class="divider"> / </div> | |||
| @@ -249,7 +249,7 @@ td, th { | |||
| <div class="ui pointing secondary menu" style="border-bottom: 1px solid rgba(34,36,38,.15);"> | |||
| <a class="active item" data-tab="first{{$k}}">{{$.i18n.Tr "repo.modelarts.train_job.config"}}</a> | |||
| <a class="item" data-tab="second{{$k}}" onclick="loadLog({{.VersionName}})">{{$.i18n.Tr "repo.modelarts.log"}}</a> | |||
| <a class="item log_bottom" data-tab="second{{$k}}" data-version="{{.VersionName}}">{{$.i18n.Tr "repo.modelarts.log"}}</a> | |||
| <a class="item" data-tab="third{{$k}}" onclick="loadModelFile({{.VersionName}},'','','init')">{{$.i18n.Tr "repo.model_download"}}</a> | |||
| </div> | |||
| <div class="ui tab active" data-tab="first{{$k}}"> | |||
| @@ -420,7 +420,13 @@ td, th { | |||
| </div> | |||
| </div> | |||
| <div class="ui tab" data-tab="second{{$k}}"> | |||
| <div> | |||
| <div style="position: relative;"> | |||
| <span> | |||
| <a title="滚动到顶部" style="position: absolute; right: -32px;cursor: pointer;" class="log_top" data-version="{{.VersionName}}"><i class="icon-to-top"></i></a> | |||
| </span> | |||
| <span> | |||
| <a title="滚动到底部" style="position: absolute; bottom: 10px;right: -32px;cursor: pointer;" class="log_bottom" data-version="{{.VersionName}}"><i class="icon-to-bottom"></i></a> | |||
| </span> | |||
| <div class="ui message message{{.VersionName}}" style="display: none;"> | |||
| <div id="header"></div> | |||
| </div> | |||
| @@ -861,9 +867,12 @@ td, th { | |||
| console.log(err); | |||
| }); | |||
| } | |||
| if(scrollTop == 0 && scrollLeft==0){ | |||
| if(scrollTop == 1 && scrollLeft==0){ | |||
| let start_line = $(`#log${version_name} input[name=start_line]`).val() | |||
| $.get(`/api/v1/repos/${userName}/${repoPath}/modelarts/train-job/${jobID}/log?version_name=${version_name}&base_line=${start_line}&lines=50&order=asc`, (data) => { | |||
| console.log("11111") | |||
| if (data.Lines == 0){ | |||
| $(`.message${version_name} #header`).text('您已翻阅至日志顶部') | |||
| $(`.message${version_name}`).css('display', 'block') | |||
| @@ -879,4 +888,73 @@ td, th { | |||
| }); | |||
| } | |||
| } | |||
| function scrollAnimation(dom, currentY, targetY, currentX) { | |||
| let needScrollTop = targetY - currentY; | |||
| let _currentY = currentY; | |||
| setTimeout(() => { | |||
| // 一次调用滑动帧数,每次调用会不一样 | |||
| //取总距离的十分之一 | |||
| const dist = Math.ceil(needScrollTop / 10); | |||
| _currentY += dist; | |||
| //移动一个十分之一 | |||
| console.log(_currentY, targetY) | |||
| dom.scrollTo(currentX || 0, _currentY); | |||
| // 如果移动幅度小于十个像素,直接移动,否则递归调用,实现动画效果 | |||
| if (needScrollTop > 10 || needScrollTop < -10) { | |||
| scrollAnimation(dom, _currentY, targetY) | |||
| } else { | |||
| dom.scrollTo(0, targetY) | |||
| } | |||
| }, 1) | |||
| } | |||
| $('.log_top').click(function(){ | |||
| let logContentDom = document.querySelector('.log') | |||
| if(!logContentDom) | |||
| return | |||
| let version_name = $('.log_top').data('version') | |||
| $(`#log_file${version_name}`).siblings('pre').remove() | |||
| $.get(`/api/v1/repos/${userName}/${repoPath}/modelarts/train-job/${jobID}/log?version_name=${version_name}&base_line=&lines=50&order=asc`, (data) => { | |||
| $(`#log${version_name} input[name=end_line]`).val(data.EndLine) //如果变动就改变所对应的值 | |||
| $(`#log${version_name} input[name=start_line]`).val(data.StartLine) | |||
| $(`#log${version_name}`).prepend('<pre>' + data.Content) | |||
| scrollAnimation(logContentDom, logContentDom.scrollTop, 0); | |||
| }) | |||
| }) | |||
| $('.log_bottom').click(function(){ | |||
| let logContentDom = document.querySelector('.log') | |||
| let version_name = $('.log_bottom').data('version') | |||
| console.log($(`#log${version_name}`).siblings('pre')) | |||
| $(`#log_file${version_name}`).siblings('pre').remove() | |||
| $.get(`/api/v1/repos/${userName}/${repoPath}/modelarts/train-job/${jobID}/log?version_name=${version_name}&base_line=&lines=50&order=desc`, (data) => { | |||
| $(`#log${version_name} input[name=end_line]`).val(data.EndLine) //如果变动就改变所对应的值 | |||
| $(`#log${version_name} input[name=start_line]`).val(data.StartLine) | |||
| $(`#log${version_name}`).append('<pre>' + data.Content) | |||
| $.get(`/api/v1/repos/${userName}/${repoPath}/modelarts/train-job/${jobID}/log?version_name=${version_name}&base_line=${data.EndLine}&lines=50&order=desc`, (data) => { | |||
| if (data.Lines == 0){ | |||
| $(`.message${version_name} #header`).text('您已翻阅至日志底部') | |||
| $(`.message${version_name}`).css('display', 'block') | |||
| setTimeout(function(){ | |||
| $(`.message${version_name}`).css('display', 'none') | |||
| }, 1000) | |||
| }else{ | |||
| if(end_line===data.EndLine){ | |||
| return | |||
| } | |||
| else{ | |||
| $(`#log${version_name} input[name=end_line]`).val(data.EndLine) | |||
| $(`#log${version_name}`).append('<pre>' + data.Content) | |||
| } | |||
| } | |||
| }).fail(function(err) { | |||
| console.log(err); | |||
| }); | |||
| scrollAnimation(logContentDom, logContentDom.scrollTop+1, logContentDom.scrollHeight - logContentDom.clientHeight); | |||
| }) | |||
| }) | |||
| </script> | |||
| @@ -147,9 +147,9 @@ | |||
| {{end}} | |||
| </div> | |||
| <!-- 删除任务 --> | |||
| <form class="ui compact buttons" id="delForm-{{$JobID}}" action='{{AppSubUrl}}/{{.Repo.OwnerName}}/{{.Repo.Name}}{{if eq .JobType "BENCHMARK"}}/cloudbrain/benchmark{{else if eq .JobType "DEBUG"}}{{if eq .ComputeResource "NPU"}}/modelarts/notebook{{else}}/cloudbrain{{end}}{{else if eq .JobType "TRAIN"}}{{if eq .ComputeResource "NPU"}}/modelarts/train-job{{else}}/cloudbrain/train-job{{end}}{{end}}/{{$JobID}}/del?ishomepage=true' method="post"> | |||
| <form class="ui compact buttons" id="delForm-{{$JobID}}" action='{{AppSubUrl}}/{{.Repo.OwnerName}}/{{.Repo.Name}}{{if eq .JobType "BENCHMARK"}}/cloudbrain/benchmark{{else if or (eq .JobType "SNN4IMAGENET") (eq .JobType "BRAINSCORE")}}/cloudbrain{{else if eq .JobType "DEBUG"}}{{if eq .ComputeResource "NPU"}}/modelarts/notebook{{else}}/cloudbrain{{end}}{{else if eq .JobType "TRAIN"}}{{if eq .ComputeResource "NPU"}}/modelarts/train-job{{else}}/cloudbrain/train-job{{end}}{{end}}/{{$JobID}}/del?ishomepage=true' method="post"> | |||
| {{$.CsrfTokenHtml}} | |||
| <a style="padding: 0.5rem 1rem;margin-left:0.2rem" id="ai-delete-{{$JobID}}" data-repopath="{{.Repo.OwnerName}}/{{.Repo.Name}}/modelarts/inference-job/{{$JobID}}/del_version?ishomepage=true" data-version="{{.VersionName}}" class="ui basic ai_delete blue button" style="border-radius: .28571429rem;"> | |||
| <a style="padding: 0.5rem 1rem;margin-left:0.2rem" id="ai-delete-{{$JobID}}" data-repopath="{{.Repo.OwnerName}}/{{.Repo.Name}}/modelarts/inference-job/{{$JobID}}/del_version?ishomepage=true" data-version="" class="ui basic ai_delete blue button" style="border-radius: .28571429rem;"> | |||
| {{$.i18n.Tr "repo.delete"}} | |||
| </a> | |||
| </form> | |||
| @@ -71,7 +71,7 @@ | |||
| {{ $index := index .GetIssueInfos 0}} | |||
| {{$.i18n.Tr "action.comment_pull" .GetRepoLink $index .ShortRepoPath | Str2html}} | |||
| {{else if eq .GetOpType 24}} | |||
| {{$.i18n.Tr "action.upload_dataset" .GetRepoLink .Content .RefName | Str2html}} | |||
| {{$.i18n.Tr "action.upload_dataset" .GetRepoLink .RefName | Str2html}} | |||
| {{else if eq .GetOpType 25}} | |||
| {{$.i18n.Tr "action.task_gpudebugjob" .GetRepoLink .Content .RefName | Str2html}} | |||
| {{else if eq .GetOpType 26}} | |||
| @@ -27,6 +27,7 @@ import createDropzone from '../features/dropzone.js'; | |||
| const {_AppSubUrl, _StaticUrlPrefix, csrf} = window.config; | |||
| const chunkSize = 1024 * 1024 * 64; | |||
| const md5ChunkSize = 1024 * 1024 * 1; | |||
| export default { | |||
| props:{ | |||
| @@ -190,10 +191,12 @@ export default { | |||
| let currentChunk = 0; | |||
| const time = new Date().getTime(); | |||
| // console.log('计算MD5...') | |||
| this.status = this.dropzoneParams.data('md5-computing'); | |||
| file.totalChunkCounts = chunks; | |||
| loadNext(); | |||
| if (file.size==0) { | |||
| file.totalChunkCounts = 1 | |||
| } | |||
| loadMd5Next(); | |||
| fileReader.onload = (e) => { | |||
| fileLoaded.call(this, e); | |||
| @@ -207,13 +210,12 @@ export default { | |||
| spark.append(e.target.result); // Append array buffer | |||
| currentChunk++; | |||
| if (currentChunk < chunks) { | |||
| // console.log(`第${currentChunk}分片解析完成, 开始第${currentChunk +1}/${chunks}分片解析`); | |||
| this.status = `${this.dropzoneParams.data('loading-file')} ${( | |||
| (currentChunk / chunks) * | |||
| 100 | |||
| ).toFixed(2)}% (${currentChunk}/${chunks})`; | |||
| this.updateProgress(file, ((currentChunk / chunks) * 100).toFixed(2)); | |||
| loadNext(); | |||
| loadMd5Next(); | |||
| return; | |||
| } | |||
| @@ -235,6 +237,13 @@ export default { | |||
| start + chunkSize >= file.size ? file.size : start + chunkSize; | |||
| fileReader.readAsArrayBuffer(blobSlice.call(file, start, end)); | |||
| } | |||
| function loadMd5Next() { | |||
| const start = currentChunk * chunkSize; | |||
| const end = | |||
| start + md5ChunkSize >= file.size ? file.size : start + md5ChunkSize; | |||
| fileReader.readAsArrayBuffer(blobSlice.call(file, start, end)); | |||
| } | |||
| }, | |||
| async computeMD5Success(md5edFile) { | |||
| @@ -1,484 +0,0 @@ | |||
| <template> | |||
| <div class="dropzone-wrapper dataset-files"> | |||
| <div | |||
| id="dataset" | |||
| class="dropzone" | |||
| /> | |||
| <p class="upload-info"> | |||
| {{ file_status_text }} | |||
| <strong class="success text red">{{ status }}</strong> | |||
| </p> | |||
| <p>说明:<br> | |||
| - 只有zip格式的数据集才能发起云脑任务;<br> | |||
| - 云脑1提供 <span class="text blue">CPU / GPU</span> 资源,云脑2提供 <span class="text blue">Ascend NPU</span> 资源;调试使用的数据集也需要上传到对应的环境。 | |||
| </p> | |||
| </div> | |||
| </template> | |||
| <script> | |||
| /* eslint-disable eqeqeq */ | |||
| // import Dropzone from 'dropzone/dist/dropzone.js'; | |||
| // import 'dropzone/dist/dropzone.css' | |||
| import SparkMD5 from 'spark-md5'; | |||
| import axios from 'axios'; | |||
| import qs from 'qs'; | |||
| import createDropzone from '../features/dropzone.js'; | |||
| const {_AppSubUrl, _StaticUrlPrefix, csrf} = window.config; | |||
| const CloudBrainType = 1; | |||
| export default { | |||
| data() { | |||
| return { | |||
| dropzoneUploader: null, | |||
| maxFiles: 1, | |||
| maxFilesize: 1 * 1024 * 1024 * 1024 * 1024, | |||
| acceptedFiles: '*/*', | |||
| progress: 0, | |||
| status: '', | |||
| dropzoneParams: {}, | |||
| file_status_text: '' | |||
| }; | |||
| }, | |||
| async mounted() { | |||
| this.dropzoneParams = $('div#minioUploader-params'); | |||
| this.file_status_text = this.dropzoneParams.data('file-status'); | |||
| this.status = this.dropzoneParams.data('file-init-status'); | |||
| let previewTemplate = ''; | |||
| previewTemplate += '<div class="dz-preview dz-file-preview">\n '; | |||
| previewTemplate += ' <div class="dz-details">\n '; | |||
| previewTemplate += ' <div class="dz-filename">'; | |||
| previewTemplate += | |||
| ' <span data-dz-name data-dz-thumbnail></span>'; | |||
| previewTemplate += ' </div>\n '; | |||
| previewTemplate += ' <div class="dz-size" data-dz-size style="white-space: nowrap"></div>\n '; | |||
| previewTemplate += ' </div>\n '; | |||
| previewTemplate += ' <div class="dz-progress ui active progress">'; | |||
| previewTemplate += | |||
| ' <div class="dz-upload bar" data-dz-uploadprogress><div class="progress"></div></div>\n '; | |||
| previewTemplate += ' </div>\n '; | |||
| previewTemplate += ' <div class="dz-success-mark">'; | |||
| previewTemplate += ' <span>上传成功</span>'; | |||
| previewTemplate += ' </div>\n '; | |||
| previewTemplate += ' <div class="dz-error-mark">'; | |||
| previewTemplate += ' <span>上传失败</span>'; | |||
| previewTemplate += ' </div>\n '; | |||
| previewTemplate += ' <div class="dz-error-message">'; | |||
| previewTemplate += ' <span data-dz-errormessage></span>'; | |||
| previewTemplate += ' </div>\n'; | |||
| previewTemplate += '</div>'; | |||
| const $dropzone = $('div#dataset'); | |||
| console.log('createDropzone'); | |||
| const dropzoneUploader = await createDropzone($dropzone[0], { | |||
| url: '/todouploader', | |||
| maxFiles: this.maxFiles, | |||
| maxFilesize: this.maxFileSize, | |||
| timeout: 0, | |||
| autoQueue: false, | |||
| dictDefaultMessage: this.dropzoneParams.data('default-message'), | |||
| dictInvalidFileType: this.dropzoneParams.data('invalid-input-type'), | |||
| dictFileTooBig: this.dropzoneParams.data('file-too-big'), | |||
| dictRemoveFile: this.dropzoneParams.data('remove-file'), | |||
| previewTemplate | |||
| }); | |||
| dropzoneUploader.on('addedfile', (file) => { | |||
| setTimeout(() => { | |||
| // eslint-disable-next-line no-unused-expressions | |||
| file.accepted && this.onFileAdded(file); | |||
| }, 200); | |||
| }); | |||
| dropzoneUploader.on('maxfilesexceeded', function (file) { | |||
| if (this.files[0].status !== 'success') { | |||
| alert(this.dropzoneParams.data('waitting-uploading')); | |||
| this.removeFile(file); | |||
| return; | |||
| } | |||
| this.removeAllFiles(); | |||
| this.addFile(file); | |||
| }); | |||
| this.dropzoneUploader = dropzoneUploader; | |||
| }, | |||
| methods: { | |||
| resetStatus() { | |||
| this.progress = 0; | |||
| this.status = ''; | |||
| }, | |||
| updateProgress(file, progress) { | |||
| file.previewTemplate.querySelector( | |||
| '.dz-upload' | |||
| ).style.width = `${progress}%`; | |||
| }, | |||
| emitDropzoneSuccess(file) { | |||
| file.status = 'success'; | |||
| this.dropzoneUploader.emit('success', file); | |||
| this.dropzoneUploader.emit('complete', file); | |||
| }, | |||
| emitDropzoneFailed(file) { | |||
| this.status = this.dropzoneParams.data('falied'); | |||
| file.status = 'error'; | |||
| this.dropzoneUploader.emit('error', file); | |||
| // this.dropzoneUploader.emit('complete', file); | |||
| }, | |||
| onFileAdded(file) { | |||
| file.datasetId = document | |||
| .getElementById('datasetId') | |||
| .getAttribute('datasetId'); | |||
| this.resetStatus(); | |||
| this.computeMD5(file); | |||
| }, | |||
| finishUpload(file) { | |||
| this.emitDropzoneSuccess(file); | |||
| setTimeout(() => { | |||
| window.location.reload(); | |||
| }, 1000); | |||
| }, | |||
| computeMD5(file) { | |||
| this.resetStatus(); | |||
| const blobSlice = | |||
| File.prototype.slice || | |||
| File.prototype.mozSlice || | |||
| File.prototype.webkitSlice, | |||
| chunkSize = 1024 * 1024 * 64, | |||
| chunks = Math.ceil(file.size / chunkSize), | |||
| spark = new SparkMD5.ArrayBuffer(), | |||
| fileReader = new FileReader(); | |||
| let currentChunk = 0; | |||
| const time = new Date().getTime(); | |||
| // console.log('计算MD5...') | |||
| this.status = this.dropzoneParams.data('md5-computing'); | |||
| file.totalChunkCounts = chunks; | |||
| loadNext(); | |||
| fileReader.onload = (e) => { | |||
| fileLoaded.call(this, e); | |||
| }; | |||
| fileReader.onerror = (err) => { | |||
| console.warn('oops, something went wrong.', err); | |||
| file.cancel(); | |||
| }; | |||
| function fileLoaded(e) { | |||
| spark.append(e.target.result); // Append array buffer | |||
| currentChunk++; | |||
| if (currentChunk < chunks) { | |||
| // console.log(`第${currentChunk}分片解析完成, 开始第${currentChunk +1}/${chunks}分片解析`); | |||
| this.status = `${this.dropzoneParams.data('loading-file')} ${( | |||
| (currentChunk / chunks) * | |||
| 100 | |||
| ).toFixed(2)}% (${currentChunk}/${chunks})`; | |||
| this.updateProgress(file, ((currentChunk / chunks) * 100).toFixed(2)); | |||
| loadNext(); | |||
| return; | |||
| } | |||
| const md5 = spark.end(); | |||
| console.log( | |||
| `MD5计算完成:${file.name} \nMD5:${md5} \n分片:${chunks} 大小:${ | |||
| file.size | |||
| } 用时:${(new Date().getTime() - time) / 1000} s` | |||
| ); | |||
| spark.destroy(); // 释放缓存 | |||
| file.uniqueIdentifier = md5; // 将文件md5赋值给文件唯一标识 | |||
| file.cmd5 = false; // 取消计算md5状态 | |||
| this.computeMD5Success(file); | |||
| } | |||
| function loadNext() { | |||
| const start = currentChunk * chunkSize; | |||
| const end = | |||
| start + chunkSize >= file.size ? file.size : start + chunkSize; | |||
| fileReader.readAsArrayBuffer(blobSlice.call(file, start, end)); | |||
| } | |||
| }, | |||
| async computeMD5Success(md5edFile) { | |||
| const file = await this.getSuccessChunks(md5edFile); | |||
| try { | |||
| if (file.uploadID == '' || file.uuid == '') { | |||
| // 未上传过 | |||
| await this.newMultiUpload(file); | |||
| if (file.uploadID != '' && file.uuid != '') { | |||
| file.chunks = ''; | |||
| this.multipartUpload(file); | |||
| } else { | |||
| // 失败如何处理 | |||
| return; | |||
| } | |||
| return; | |||
| } | |||
| if (file.uploaded == '1') { | |||
| // 已上传成功 | |||
| // 秒传 | |||
| if (file.attachID == '0') { | |||
| // 删除数据集记录,未删除文件 | |||
| await addAttachment(file); | |||
| } | |||
| //不同数据集上传同一个文件 | |||
| if (file.datasetID != '' ) { | |||
| if (file.datasetName != "" && file.realName != "") { | |||
| var info = "该文件已上传,对应数据集(" + file.datasetName + ")-文件(" + file.realName + ")"; | |||
| window.alert(info); | |||
| window.location.reload(); | |||
| } | |||
| } | |||
| console.log('文件已上传完成'); | |||
| this.progress = 100; | |||
| this.status = this.dropzoneParams.data('upload-complete'); | |||
| this.finishUpload(file); | |||
| } else { | |||
| // 断点续传 | |||
| this.multipartUpload(file); | |||
| } | |||
| } catch (error) { | |||
| this.emitDropzoneFailed(file); | |||
| console.log(error); | |||
| } | |||
| async function addAttachment(file) { | |||
| return await axios.post( | |||
| '/attachments/add', | |||
| qs.stringify({ | |||
| uuid: file.uuid, | |||
| file_name: file.name, | |||
| size: file.size, | |||
| dataset_id: file.datasetId, | |||
| type: CloudBrainType, | |||
| _csrf: csrf, | |||
| }) | |||
| ); | |||
| } | |||
| }, | |||
| async getSuccessChunks(file) { | |||
| const params = { | |||
| params: { | |||
| md5: file.uniqueIdentifier, | |||
| type: CloudBrainType, | |||
| file_name: file.name, | |||
| _csrf: csrf | |||
| } | |||
| }; | |||
| try { | |||
| const response = await axios.get('/attachments/get_chunks', params); | |||
| file.uploadID = response.data.uploadID; | |||
| file.uuid = response.data.uuid; | |||
| file.uploaded = response.data.uploaded; | |||
| file.chunks = response.data.chunks; | |||
| file.attachID = response.data.attachID; | |||
| file.datasetID = response.data.datasetID; | |||
| file.datasetName = response.data.datasetName; | |||
| file.realName = response.data.fileName; | |||
| return file; | |||
| } catch (error) { | |||
| this.emitDropzoneFailed(file); | |||
| console.log('getSuccessChunks catch: ', error); | |||
| return null; | |||
| } | |||
| }, | |||
| async newMultiUpload(file) { | |||
| const res = await axios.get('/attachments/new_multipart', { | |||
| params: { | |||
| totalChunkCounts: file.totalChunkCounts, | |||
| md5: file.uniqueIdentifier, | |||
| size: file.size, | |||
| fileType: file.type, | |||
| type: CloudBrainType, | |||
| file_name: file.name, | |||
| _csrf: csrf | |||
| } | |||
| }); | |||
| file.uploadID = res.data.uploadID; | |||
| file.uuid = res.data.uuid; | |||
| }, | |||
| multipartUpload(file) { | |||
| const blobSlice = | |||
| File.prototype.slice || | |||
| File.prototype.mozSlice || | |||
| File.prototype.webkitSlice, | |||
| chunkSize = 1024 * 1024 * 64, | |||
| chunks = Math.ceil(file.size / chunkSize), | |||
| fileReader = new FileReader(), | |||
| time = new Date().getTime(); | |||
| let currentChunk = 0; | |||
| function loadNext() { | |||
| const start = currentChunk * chunkSize; | |||
| const end = | |||
| start + chunkSize >= file.size ? file.size : start + chunkSize; | |||
| fileReader.readAsArrayBuffer(blobSlice.call(file, start, end)); | |||
| } | |||
| function checkSuccessChunks() { | |||
| const index = successChunks.indexOf((currentChunk + 1).toString()); | |||
| if (index == -1) { | |||
| return false; | |||
| } | |||
| return true; | |||
| } | |||
| async function getUploadChunkUrl(currentChunk, partSize) { | |||
| const res = await axios.get('/attachments/get_multipart_url', { | |||
| params: { | |||
| uuid: file.uuid, | |||
| uploadID: file.uploadID, | |||
| size: partSize, | |||
| chunkNumber: currentChunk + 1, | |||
| type: CloudBrainType, | |||
| file_name: file.name, | |||
| _csrf: csrf | |||
| } | |||
| }); | |||
| urls[currentChunk] = res.data.url; | |||
| } | |||
| async function uploadMinio(url, e) { | |||
| let urls = []; | |||
| const res = await axios.put(url, e.target.result, { | |||
| headers: { | |||
| 'Content-Type': '' | |||
| }}); | |||
| etags[currentChunk] = res.headers.etag; | |||
| } | |||
| async function uploadMinioNewMethod(url,e){ | |||
| var xhr = new XMLHttpRequest(); | |||
| xhr.open('PUT', url, false); | |||
| xhr.setRequestHeader('Content-Type', '') | |||
| xhr.send(e.target.result); | |||
| var etagValue = xhr.getResponseHeader('ETag'); | |||
| //console.log(etagValue); | |||
| etags[currentChunk] = etagValue; | |||
| } | |||
| async function updateChunk(currentChunk) { | |||
| await axios.post( | |||
| '/attachments/update_chunk', | |||
| qs.stringify({ | |||
| uuid: file.uuid, | |||
| chunkNumber: currentChunk + 1, | |||
| etag: etags[currentChunk], | |||
| type: CloudBrainType, | |||
| _csrf: csrf | |||
| }) | |||
| ); | |||
| } | |||
| async function uploadChunk(e) { | |||
| try { | |||
| if (!checkSuccessChunks()) { | |||
| const start = currentChunk * chunkSize; | |||
| const partSize = | |||
| start + chunkSize >= file.size ? file.size - start : chunkSize; | |||
| // 获取分片上传url | |||
| await getUploadChunkUrl(currentChunk, partSize); | |||
| if (urls[currentChunk] != '') { | |||
| // 上传到minio | |||
| await uploadMinioNewMethod(urls[currentChunk], e); | |||
| if (etags[currentChunk] != '') { | |||
| // 更新数据库:分片上传结果 | |||
| //await updateChunk(currentChunk); | |||
| } else { | |||
| console.log("上传到minio uploadChunk etags[currentChunk] == ''");// TODO | |||
| } | |||
| } else { | |||
| console.log("uploadChunk urls[currentChunk] != ''");// TODO | |||
| } | |||
| } | |||
| } catch (error) { | |||
| this.emitDropzoneFailed(file); | |||
| console.log(error); | |||
| } | |||
| } | |||
| async function completeUpload() { | |||
| return await axios.post( | |||
| '/attachments/complete_multipart', | |||
| qs.stringify({ | |||
| uuid: file.uuid, | |||
| uploadID: file.uploadID, | |||
| file_name: file.name, | |||
| size: file.size, | |||
| dataset_id: file.datasetId, | |||
| type: CloudBrainType, | |||
| _csrf: csrf | |||
| }) | |||
| ); | |||
| } | |||
| const successChunks = []; | |||
| let successParts = []; | |||
| successParts = file.chunks.split(','); | |||
| for (let i = 0; i < successParts.length; i++) { | |||
| successChunks[i] = successParts[i].split('-')[0]; | |||
| } | |||
| const urls = []; // TODO const ? | |||
| const etags = []; | |||
| console.log('上传分片...'); | |||
| this.status = this.dropzoneParams.data('uploading'); | |||
| loadNext(); | |||
| fileReader.onload = async (e) => { | |||
| await uploadChunk(e); | |||
| fileReader.abort(); | |||
| currentChunk++; | |||
| if (currentChunk < chunks) { | |||
| console.log( | |||
| `第${currentChunk}个分片上传完成, 开始第${currentChunk + | |||
| 1}/${chunks}个分片上传` | |||
| ); | |||
| this.progress = Math.ceil((currentChunk / chunks) * 100); | |||
| this.updateProgress(file, ((currentChunk / chunks) * 100).toFixed(2)); | |||
| this.status = `${this.dropzoneParams.data('uploading')} ${( | |||
| (currentChunk / chunks) * | |||
| 100 | |||
| ).toFixed(2)}%`; | |||
| await loadNext(); | |||
| } else { | |||
| await completeUpload(); | |||
| console.log( | |||
| `文件上传完成:${file.name} \n分片:${chunks} 大小:${ | |||
| file.size | |||
| } 用时:${(new Date().getTime() - time) / 1000} s` | |||
| ); | |||
| this.progress = 100; | |||
| this.status = this.dropzoneParams.data('upload-complete'); | |||
| this.finishUpload(file); | |||
| } | |||
| }; | |||
| } | |||
| } | |||
| }; | |||
| </script> | |||
| <style> | |||
| .dropzone-wrapper { | |||
| margin: 0; | |||
| } | |||
| .ui .dropzone { | |||
| border: 2px dashed #0087f5; | |||
| box-shadow: none !important; | |||
| padding: 0; | |||
| min-height: 5rem; | |||
| border-radius: 4px; | |||
| } | |||
| .dataset .dataset-files #dataset .dz-preview.dz-file-preview, | |||
| .dataset .dataset-files #dataset .dz-preview.dz-processing { | |||
| display: flex; | |||
| align-items: center; | |||
| } | |||
| .dataset .dataset-files #dataset .dz-preview { | |||
| border-bottom: 1px solid #dadce0; | |||
| min-height: 0; | |||
| } | |||
| .upload-info{ | |||
| margin-top: 0.2em; | |||
| } | |||
| </style> | |||
| @@ -63,19 +63,28 @@ | |||
| </template> | |||
| </el-table-column> | |||
| <el-table-column | |||
| prop="CodeMergeCount" | |||
| label="PR数" | |||
| prop="UserIndex" | |||
| label="归一化用户指数" | |||
| width="120px" | |||
| align="center"> | |||
| </el-table-column> | |||
| <template slot-scope="scope"> | |||
| {{scope.row.UserIndex | rounding}} | |||
| </template> | |||
| </el-table-column> | |||
| <el-table-column | |||
| prop="UserIndex" | |||
| prop="UserIndexPrimitive" | |||
| label="用户指数" | |||
| width="120px" | |||
| align="center"> | |||
| <template slot-scope="scope"> | |||
| {{scope.row.UserIndex | rounding}} | |||
| {{scope.row.UserIndexPrimitive | rounding}} | |||
| </template> | |||
| </el-table-column> | |||
| <el-table-column | |||
| prop="CodeMergeCount" | |||
| label="PR数" | |||
| align="center"> | |||
| </el-table-column> | |||
| <el-table-column | |||
| prop="CommitCount" | |||
| label="commit数" | |||
| @@ -160,6 +169,48 @@ | |||
| label="提交模型数" | |||
| 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" | |||
| @@ -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, | |||
| @@ -1,6 +1,7 @@ | |||
| <template> | |||
| <div> | |||
| <div > | |||
| <div class="ui container" style="width: 80%;"> | |||
| <div class="ui grid"> | |||
| <div class="row" style="border: 1px solid #d4d4d5;margin-top: 15px;padding-top: 0;"> | |||
| <div class="ui attached segment"> | |||
| @@ -11,12 +12,10 @@ | |||
| </div> | |||
| </div> | |||
| </div> | |||
| <el-row style="padding: 1rem;"> | |||
| <el-col :span="2" style="margin-right: 1rem;"> | |||
| <el-checkbox v-model="checked" style="padding: 0.5rem 1rem;">仅显示平台推荐</el-checkbox> | |||
| </el-col> | |||
| <el-col :span="6"> | |||
| <el-dropdown @command="handleCommand" trigger="click" style="border: 1px solid rgba(34,36,38,.15);border-radius: 4px;padding: 0.5rem 1rem;"> | |||
| <div class="ui ten wide column" style="margin: 1rem 0;"> | |||
| <el-checkbox v-model="checked" style="padding: 0.5rem 1rem;">仅显示平台推荐</el-checkbox> | |||
| <el-dropdown @command="handleCommand" trigger="click" style="border: 1px solid rgba(34,36,38,.15);border-radius: 4px;padding: 0.5rem 1rem;"> | |||
| <span class="el-dropdown-link"> | |||
| {{dropdownPrivate}}<i class="el-icon-caret-bottom el-icon--right"></i> | |||
| </span> | |||
| @@ -25,10 +24,12 @@ | |||
| <el-dropdown-item :command="{label:'公开',private:false}">公开</el-dropdown-item> | |||
| <el-dropdown-item :command="{label:'公开',private:true}">私有</el-dropdown-item> | |||
| </el-dropdown-menu> | |||
| </el-dropdown> | |||
| </el-col> | |||
| </el-row> | |||
| <el-row> | |||
| </el-dropdown> | |||
| </div> | |||
| <div class="ui six wide column right aligned" style="margin: 1rem 0;"> | |||
| <a class="ui blue small button" href="/admin/images/commit_image">创建云脑镜像</a> | |||
| </div> | |||
| <div class="ui sixteen wide column" style="padding: 0;"> | |||
| <el-table | |||
| :data="tableDataCustom" | |||
| style="width: 100%" | |||
| @@ -116,12 +117,8 @@ | |||
| <svg width="1.4em" height="1.4em" viewBox="0 0 32 32" class="heart-stroke"><path d="M4.4 6.54c-1.761 1.643-2.6 3.793-2.36 6.056.24 2.263 1.507 4.521 3.663 6.534a29110.9 29110.9 0 0010.296 9.633l10.297-9.633c2.157-2.013 3.424-4.273 3.664-6.536.24-2.264-.599-4.412-2.36-6.056-1.73-1.613-3.84-2.29-6.097-1.955-1.689.25-3.454 1.078-5.105 2.394l-.4.319-.398-.319c-1.649-1.316-3.414-2.143-5.105-2.394a7.612 7.612 0 00-1.113-.081c-1.838 0-3.541.694-4.983 2.038z"></path></svg> | |||
| <span style="line-height: 2;margin-left:0.3rem;">{{scope.row.numStars}}</span> | |||
| </div> | |||
| <template v-if="!scope.row.isPrivate"> | |||
| <span style="padding: 0 1rem;color: rgb(250, 140, 22);cursor:pointer;" v-if="scope.row.type==5" @click="unSetRecommend(scope.$index,scope.row.id)">取消推荐</span> | |||
| <span style="padding: 0 1rem;color: rgb(19, 194, 141);cursor:pointer;" v-else @click="setRecommend(scope.$index,scope.row.id)">设为推荐</span> | |||
| </template> | |||
| <span style="padding: 0 1rem;color: rgb(19, 194, 141);cursor:pointer;" v-if="scope.row.type!==5 && !scope.row.isPrivate" @click="setRecommend(scope.$index,scope.row.id)">设为推荐</span> | |||
| <span style="padding: 0 1rem;color:#0366d6;cursor:pointer;" @click="copyUrl(scope.row.place)">复制地址</span> | |||
| <div style="padding-left:1rem;cursor:pointer;"> | |||
| <el-dropdown size="medium"> | |||
| @@ -138,7 +135,7 @@ | |||
| </template> | |||
| </el-table-column> | |||
| </el-table> | |||
| </el-row> | |||
| </div> | |||
| <div class="ui container" style="padding:2rem 0;text-align:center"> | |||
| <el-pagination | |||
| background | |||
| @@ -152,6 +149,7 @@ | |||
| </el-pagination> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| </div> | |||
| @@ -26,6 +26,15 @@ export default async function initImage(){ | |||
| } | |||
| ] | |||
| }, | |||
| place:{ | |||
| identifier : 'place', | |||
| rules: [ | |||
| { | |||
| type: 'empty', | |||
| } | |||
| ] | |||
| }, | |||
| } | |||
| }) | |||
| } | |||
| @@ -75,8 +84,9 @@ export default async function initImage(){ | |||
| type:'POST', | |||
| data:formData, | |||
| success:function(res){ | |||
| console.log(res) | |||
| if(res.Code===1){ | |||
| $('.ui.info.message').text(res.Message).show().delay(1500).fadeOut(); | |||
| $('.ui.negative.message').text(res.Message).show().delay(2500).fadeOut(); | |||
| }else if(res.Code==0){ | |||
| if(location.href.indexOf('imageAdmin')!==-1){ | |||
| location.href = `${window.config.AppSubUrl}/admin/images` | |||
| @@ -105,6 +115,11 @@ export default async function initImage(){ | |||
| $("textarea[name='description']").parent().addClass('error') | |||
| return false | |||
| } | |||
| if($("input[name='place']").length>0&&!$("input[name='place']").val()){ | |||
| console.log("1111111",$("input[name='place']")) | |||
| $("input[name='place']").parent().addClass('error') | |||
| return false | |||
| } | |||
| const postData = { | |||
| _csrf:$("input[name='_csrf']").val(), | |||
| @@ -115,6 +130,10 @@ export default async function initImage(){ | |||
| topics:$("input[name='topics']").val(), | |||
| id:$("input[name='id']").val() | |||
| } | |||
| if($("input[name='place']").val()&&$("input[name='isRecommend']:checked").val()){ | |||
| postData.isRecommend = $("input[name='isRecommend']:checked").val() | |||
| postData.place = $("input[name='place']").val() | |||
| } | |||
| let formData = $params(postData) | |||
| if($("input[name='edit']").val()=="edit"){ | |||
| postImage(formData) | |||
| @@ -143,15 +162,16 @@ export default async function initImage(){ | |||
| } | |||
| }) | |||
| } | |||
| return false | |||
| }) | |||
| $('#cancel_submit_image').click(()=>{ | |||
| console.log(pageform) | |||
| if(link.includes('cloudbrain')){ | |||
| let repoLink = link.split('cloudbrain')[0] | |||
| location.href = `${window.config.AppSubUrl}${repoLink}debugjob?debugListType=all` | |||
| }else if(pageform=='imageSquare'){ | |||
| location.href = `${window.config.AppSubUrl}/explore/images?type=myimage` | |||
| }else if(pageform=='imageAdmin'){ | |||
| }else if(pageform){ | |||
| location.href = `${window.config.AppSubUrl}/admin/images` | |||
| } | |||
| }) | |||
| @@ -34,7 +34,6 @@ import { | |||
| } from './features/notification.js'; | |||
| import {createCodeEditor} from './features/codeeditor.js'; | |||
| import MinioUploader from './components/MinioUploader.vue'; | |||
| import ObsUploader from './components/ObsUploader.vue'; | |||
| import EditAboutInfo from './components/EditAboutInfo.vue'; | |||
| // import Images from './components/Images.vue'; | |||
| import EditTopics from './components/EditTopics.vue'; | |||
| @@ -2958,7 +2957,6 @@ $(document).ready(async () => { | |||
| initCodeView(); | |||
| initVueApp(); | |||
| initVueUploader(); | |||
| initObsUploader(); | |||
| initVueDataset(); | |||
| initVueEditAbout(); | |||
| initVueEditTopic(); | |||
| @@ -3702,6 +3700,63 @@ function initVueEditAbout() { | |||
| } | |||
| function initVueDataset() { | |||
| if($('#dataset_check').length){ | |||
| if(location.search.indexOf('recommend=true')!==-1){ | |||
| $('#dataset_check').checkbox('set checked') | |||
| }else{ | |||
| $('#dataset_check').checkbox('set unchecked') | |||
| } | |||
| $('#dataset_check').checkbox({ | |||
| onChecked: function() { | |||
| if(location.search){ | |||
| const params = new URLSearchParams(location.search) | |||
| if(params.has('recommend')){ | |||
| params.delete('recommend') | |||
| location.href = AppSubUrl + location.pathname + '?' + params.toString() + '&recommend=true' | |||
| }else{ | |||
| location.href = `${window.config.AppSubUrl}/admin/datasets${location.search}&recommend=true` | |||
| } | |||
| }else{ | |||
| location.href = `${window.config.AppSubUrl}/admin/datasets?recommend=true` | |||
| } | |||
| }, | |||
| onUnchecked: function() { | |||
| if(location.search=='?recommend=true'){ | |||
| location.href = AppSubUrl + location.pathname | |||
| }else{ | |||
| const params = new URLSearchParams(location.search) | |||
| params.delete('recommend') | |||
| location.href = AppSubUrl + location.pathname + '?' + params.toString() | |||
| } | |||
| }, | |||
| }) | |||
| } | |||
| $('.set_dataset').on('click', function(){ | |||
| const $this = $(this); | |||
| let link = $this.data('url') | |||
| $.ajax({ | |||
| url:link, | |||
| type:'PUT', | |||
| success:function(res){ | |||
| console.log(res) | |||
| if(res.Code==0){ | |||
| window.location.href = '/admin/datasets' | |||
| }else{ | |||
| $('.ui.negative.message').text(res.Message).show().delay(1500).fadeOut(); | |||
| } | |||
| }, | |||
| error: function(xhr){ | |||
| // 隐藏 loading | |||
| // 只有请求不正常(状态码不为200)才会执行 | |||
| $('.ui.negative.message').html(xhr.responseText).show().delay(1500).fadeOut(); | |||
| console.log(xhr) | |||
| }, | |||
| complete:function(xhr){ | |||
| // $("#mask").css({"display":"none","z-index":"1"}) | |||
| } | |||
| }) | |||
| }); | |||
| const el = document.getElementById('dataset-base'); | |||
| if (!el) { | |||
| return; | |||
| @@ -3759,24 +3814,13 @@ function initVueDataset() { | |||
| if(document.getElementById('dataset-file-desc')){ | |||
| dataset_file_desc = document.getElementById('dataset-file-desc').value | |||
| } | |||
| // getEditInit(){ | |||
| // if($('#dataset-edit-value')){ | |||
| // $this = $('#dataset-edit-value') | |||
| // this.ruleForm.title = $this.data('edit-title') || '' | |||
| // this.ruleForm.description = $this.data('edit-description') || '' | |||
| // this.ruleForm.category = $this.data('edit-category') || '' | |||
| // this.ruleForm.task = $this.data('edit-task') || '' | |||
| // this.ruleForm.license = $this.data('edit-license') || '' | |||
| // this.ruleForm.id = $this.data('edit-id')|| '' | |||
| // } | |||
| // }, | |||
| new Vue({ | |||
| delimiters: ['${', '}'], | |||
| el, | |||
| data: { | |||
| suburl: AppSubUrl, | |||
| url:'', | |||
| checked:false, | |||
| type:0, | |||
| desc:'', | |||
| descfile:'', | |||
| @@ -3854,8 +3898,7 @@ function initVueDataset() { | |||
| }, | |||
| }, | |||
| components: { | |||
| MinioUploader, | |||
| ObsUploader | |||
| MinioUploader | |||
| }, | |||
| mounted(){ | |||
| // if(document.getElementById('postPath')){ | |||
| @@ -3874,6 +3917,12 @@ function initVueDataset() { | |||
| this.getCurrentRepoDataset(this.repolink,this.cloudbrainType) | |||
| } | |||
| const params = new URLSearchParams(location.search) | |||
| if (params.has('recommend') && params.get('recommend')=='true'){ | |||
| this.checked = true | |||
| }else{ | |||
| this.checked = false | |||
| } | |||
| }, | |||
| created(){ | |||
| if(document.getElementById('postPath')){ | |||
| @@ -3914,6 +3963,30 @@ function initVueDataset() { | |||
| } | |||
| }, | |||
| handleCheckedChange(val){ | |||
| if(val){ | |||
| if(location.search){ | |||
| const params = new URLSearchParams(location.search) | |||
| if(params.has('recommend')){ | |||
| params.delete('recommend') | |||
| let search = params.toString() | |||
| location.href = `${AppSubUrl}/explore/datasets?${search}&recommend=${val}` | |||
| }else{ | |||
| location.href = `${AppSubUrl}/explore/datasets${location.search}&recommend=${val}` | |||
| } | |||
| }else{ | |||
| location.href = `${AppSubUrl}/explore/datasets?recommend=${val}` | |||
| } | |||
| }else{ | |||
| if(location.search=='?recommend=true'){ | |||
| location.href = AppSubUrl + location.pathname | |||
| }else{ | |||
| const params = new URLSearchParams(location.search) | |||
| params.delete('recommend') | |||
| location.href = AppSubUrl + location.pathname + '?' + params.toString() | |||
| } | |||
| } | |||
| }, | |||
| createDataset(formName){ | |||
| let _this = this | |||
| this.$refs[formName].validate((valid)=>{ | |||
| @@ -4380,19 +4453,6 @@ function initVueDataAnalysis() { | |||
| render: h => h(DataAnalysis) | |||
| }); | |||
| } | |||
| // 新增 | |||
| function initObsUploader() { | |||
| const el = document.getElementById('obsUploader'); | |||
| if (!el) { | |||
| return; | |||
| } | |||
| new Vue({ | |||
| el: '#obsUploader', | |||
| components: {ObsUploader}, | |||
| template: '<ObsUploader />' | |||
| }); | |||
| } | |||
| function initVueWxAutorize() { | |||
| const el = document.getElementById('WxAutorize'); | |||
| if (!el) { | |||
| @@ -248,7 +248,22 @@ footer .column{margin-bottom:0!important; padding-bottom:0!important;} | |||
| .icon-bind{background-position: -550px -52px;} | |||
| .icon-unbind{background-position: -568px -52px;} | |||
| .CREATING, .STOPPING, .DELETING, .STARTING, i.WAITING ,.INIT,.KILLING{display:inline-block;background-image:url('/img/loading.gif');background-repeat:no-repeat;width:16px;height:16px;background-size:16px 16px;margin-right:5px;} | |||
| .icon-to-top{ | |||
| background:url("/img/icons.svg"); | |||
| background-position: -540px -208px; | |||
| width: 30px; | |||
| height: 30px; | |||
| display: inline-block; | |||
| cursor: pointer; | |||
| } | |||
| .icon-to-bottom{ | |||
| background:url("/img/icons.svg"); | |||
| background-position: -574px -208px; | |||
| width: 30px; | |||
| height: 30px; | |||
| display: inline-block; | |||
| cursor: pointer; | |||
| } | |||
| i.COMPLETED,i.SUCCEEDED{display:inline-block;width:18px;height:18px;background:url("/img/icons.svg");background-position: -496px -52px;background-position: -441px -52px;} | |||
| .text_over{ | |||
| overflow: hidden; | |||