Example #1
0
        public IList <Cluster> GetList(Int32 allCount, ClusterFilter filter)
        {
            var usersData    = new List <UserDto>();
            var clustersData = new List <ClusterDto>();

            Task.WaitAll(Task.Run(() =>
            {
                usersData = Reliable(() => ReadUsers(allCount));
            }), Task.Run(() =>
            {
                if (filter.WithProperties)
                {
                    clustersData = Reliable(() => ReadClusters(allCount));
                }
            }));

            var grouppedByMac = usersData.GroupBy(d => d.Mac).ToDictionary(d => d.Key, d => (Double)d.Sum(u => u.XCount));
            var weigtData     = usersData.GroupBy(d => new { d.Mac, d.ClusterId })
                                .Select(d => new { d.Key.Mac, d.Key.ClusterId, Freq = d.Sum(f => f.XCount) / grouppedByMac[d.Key.Mac] });

            if (filter.Id.HasValue)
            {
                weigtData = weigtData.Where(d => d.ClusterId + 1 == filter.Id.Value);
            }

            return(weigtData.GroupBy(d => d.ClusterId).Select(g =>
            {
                var cluster = new Cluster {
                    Id = g.Key + 1
                };
                cluster.Name = Convert.ToString(cluster.Id);

                if (filter.WithSize)
                {
                    cluster.SizeHistory = new[] { new Tuple <TimeSpan, Double>(TimeSpan.Zero, g.Sum(gg => gg.Freq)) }
                }
                ;

                if (filter.WithUsers)
                {
                    cluster.UsersInfo = g.OrderByDescending(gg => gg.Freq)
                                        .Select(gg => new Tuple <User, Double>(new User {
                        MacAddress = gg.Mac
                    }, gg.Freq)).ToList();
                }

                if (filter.WithProperties)
                {
                    cluster.Properties = clustersData.Where(c => c.ClusterId == cluster.Id).Select(c => new Property
                    {
                        Type = ClusterDto.types[c.ColumnId],
                        Mean = c.Value
                    }).ToList();
                }

                return cluster;
            }).ToList());
        }
Example #2
0
        public IList <Cluster> GetList(ClusterFilter filter)
        {
            var query = Session.QueryOver <ClusterDto>();

            if (filter.Id.HasValue)
            {
                query = query.Where(c => c.Id == filter.Id.Value);
            }

            if (filter.WithSize)
            {
                Session.QueryOver <ClusterDto>()
                .Fetch(dto => dto.Sizes)
                .Eager.Fetch(dto => dto.Sizes[0].Learning)
                .Eager.Future();
            }

            var clusters = query.Future().ToList();

            if (filter.WithUsers)
            {
                foreach (var cluster in clusters)
                {
                    var clusterId = cluster.Id;
                    cluster.Users =
                        Session.QueryOver <UserProfileDto>()
                        .Fetch(p => p.User).Eager
                        .Where(p => p.Cluster.Id == clusterId)
                        .OrderBy(p => p.Probability)
                        .Desc.Take(20).List();
                }
            }

            if (filter.WithProperties)
            {
                foreach (var cluster in clusters)
                {
                    var clusterId = cluster.Id;
                    cluster.RProfile = Session.QueryOver <ClusterRProfileDto>().Where(p => p.Cluster.Id == clusterId).List();
                    cluster.NProfile = Session.QueryOver <ClusterNProfileDto>().Where(p => p.Cluster.Id == clusterId).List();
                }
            }

            return(clusters.Select(dto => (Cluster)dto).ToList());
        }
Example #3
0
        public IList <Cluster> GetList(Int32 allCount, ClusterFilter filter)
        {
            var clusters = new[]
            {
                new Cluster
                {
                    Id          = 1,
                    Name        = "Hive 1",
                    SizeHistory = new[] { new Tuple <TimeSpan, double>(TimeSpan.Zero, 1) },
                    UsersInfo   = new Collection <Tuple <User, double> > {
                        new Tuple <User, double>(new User {
                            MacAddress = "11"
                        }, 0.9)
                    },
                    Properties = new Collection <Property>()
                },
                new Cluster
                {
                    Id          = 2,
                    Name        = "Hive 2",
                    SizeHistory = new[] { new Tuple <TimeSpan, double>(TimeSpan.Zero, 2) },
                    UsersInfo   = new Collection <Tuple <User, double> >
                    {
                        new Tuple <User, double>(new User {
                            MacAddress = "13"
                        }, 0.6),
                        new Tuple <User, double>(new User {
                            MacAddress = "16"
                        }, 0.8),
                    },
                    Properties = new Collection <Property>()
                }
            }.ToList();

            if (filter.Id.HasValue)
            {
                clusters = clusters.Where(c => c.Id == filter.Id.Value).ToList();
            }

            return(clusters);
        }