#region License Information /* HeuristicLab * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using System.Linq; using System.Web.Http; using HeuristicLab.Services.Hive; using HeuristicLab.Services.Hive.DataAccess; using HeuristicLab.Services.Hive.DataAccess.Interfaces; using DT = HeuristicLab.Services.WebApp.Maintenance.WebApi.DataTransfer; namespace HeuristicLab.Services.WebApp.Maintenance.WebApi { public class FactClientInfoController : ApiController { private IPersistenceManager PersistenceManager { get { return ServiceLocator.Instance.PersistenceManager; } } public DT.FactClientInfo GetFactClientInfo(DateTime start, DateTime end) { var pm = PersistenceManager; var factClientInfo = pm.FactClientInfoDao; var query = factClientInfo.GetAll().Where(x => x.Time >= start && x.Time <= end); return new DT.FactClientInfo { Rows = query.Count(), Clients = query.Select(x => x.ClientId).Distinct().Count() }; } public void Aggregate(DateTime start, DateTime end, int entries) { var pm = PersistenceManager; var factClientInfoDao = pm.FactClientInfoDao; var dimTimeDao = pm.DimTimeDao; var clientIds = pm.UseTransaction(() => factClientInfoDao.GetAll() .Where(x => x.Time >= start && x.Time <= end) .Select(x => x.ClientId) .Distinct() ); foreach (var id in clientIds) { AggregateClient(pm, id, start, end, entries); } dimTimeDao.DeleteUnusedTimes(); } private void AggregateClient(IPersistenceManager pm, Guid clientId, DateTime start, DateTime end, int entries) { var factClientInfoDao = pm.FactClientInfoDao; var clientInfos = pm.UseTransaction(() => factClientInfoDao.GetByClientId(clientId) .Where(x => x.Time >= start && x.Time <= end) .OrderBy(x => x.Time) .ToList() ); var e = clientInfos.GetEnumerator(); if (!e.MoveNext()) return; do { var infosToAggregate = new List { e.Current }; var prev = e.Current; while (e.MoveNext() && infosToAggregate.Count() != entries) { var cur = e.Current; if (prev.IsAllowedToCalculate != cur.IsAllowedToCalculate || prev.SlaveState != cur.SlaveState) break; infosToAggregate.Add(cur); prev = cur; } if (infosToAggregate.Count() >= 2) { AggregateClientInfos(pm, infosToAggregate); } } while (e.Current != null); } private void AggregateClientInfos(IPersistenceManager pm, List clientInfos) { var factClientInfoDao = pm.FactClientInfoDao; var last = clientInfos.Last(); var infos = clientInfos.GroupBy(x => x.ClientId).Select(x => new { NumUsedCores = (int)x.Average(y => y.NumUsedCores), NumTotalCores = (int)x.Average(y => y.NumTotalCores), UsedMemory = (int)x.Average(y => y.UsedMemory), TotalMemory = (int)x.Average(y => y.TotalMemory), CpuUtilization = Math.Round(x.Average(y => y.CpuUtilization), 2), IdleTime = x.Sum(y => y.IdleTime), OfflineTime = x.Sum(y => y.OfflineTime), UnavailableTime = x.Sum(y => y.UnavailableTime) }).SingleOrDefault(); if (infos != null) { pm.UseTransaction(() => { last.NumUsedCores = infos.NumUsedCores; last.NumTotalCores = infos.NumTotalCores; last.UsedMemory = infos.UsedMemory; last.TotalMemory = infos.TotalMemory; last.CpuUtilization = infos.CpuUtilization; last.IdleTime = infos.IdleTime; last.OfflineTime = infos.OfflineTime; last.UnavailableTime = infos.UnavailableTime; clientInfos.Remove(last); factClientInfoDao.Delete(clientInfos); pm.SubmitChanges(); }); } } } }