public IList<object> LoadData(DataObjectMetadata metadata)
		{
			var type = this.TypeLoader.LoadType(metadata.AssemblyName, metadata.ClassName);
			var entityName = this.DocumentSession.Advanced.DocumentStore.Conventions.GetTypeTagName(type);
			var itemQuery = this.DocumentSession.Advanced.LuceneQuery<object>().WhereEquals("@metadata.Raven-Entity-Name", entityName).ToList();
			return itemQuery;
		}
        public MetadataDefinitionViewModel() : this(null)
        {
            add = new RelayCommand((o) =>
            {
                if (FieldName != null && FieldName.Trim() != string.Empty)
                {
                    return(true);
                }
                return(false);
            },
                                   (o) =>
            {
                DataObjectMetadata meta            = FromCurrentToMetadata();
                DataObjectMetadataViewModel metaVm = new DataObjectMetadataViewModel(meta);
                MetadataCollection.Add(metaVm);
            });

            remove = new RelayCommand((o) =>
            {
                if (o == null)
                {
                    return(false);
                }
                int i = (int)o;
                return((i >= 0) && (i < MetadataCollection.Count));
            },
                                      (o) =>
            {
                int i = (int)o;
                MetadataCollection.RemoveAt(i);
            });
        }
		public object GetDataObject(DataObjectMetadata metadata, int objectId)
		{
			var type = this.TypeLoader.LoadType(metadata.AssemblyName, metadata.ClassName);
			var entityName = this.DocumentSession.Advanced.DocumentStore.Conventions.GetTypeTagName(type);
			var itemQuery = this.DocumentSession.Advanced.LuceneQuery<dynamic>().WhereEquals("@metadata.Raven-Entity-Name", entityName);
			var item = itemQuery.Single(i=>i.Id == objectId);
			return item;
		}
        public IList <object> LoadData(DataObjectMetadata metadata)
        {
            var type       = this.TypeLoader.LoadType(metadata.AssemblyName, metadata.ClassName);
            var entityName = this.DocumentSession.Advanced.DocumentStore.Conventions.GetTypeTagName(type);
            var itemQuery  = this.DocumentSession.Advanced.LuceneQuery <object>().WhereEquals("@metadata.Raven-Entity-Name", entityName).ToList();

            return(itemQuery);
        }
        public object GetDataObject(DataObjectMetadata metadata, int objectId)
        {
            var type       = this.TypeLoader.LoadType(metadata.AssemblyName, metadata.ClassName);
            var entityName = this.DocumentSession.Advanced.DocumentStore.Conventions.GetTypeTagName(type);
            var itemQuery  = this.DocumentSession.Advanced.LuceneQuery <dynamic>().WhereEquals("@metadata.Raven-Entity-Name", entityName);
            var item       = itemQuery.Single(i => i.Id == objectId);

            return(item);
        }
		public DataObjectMetadata CreateMetadata(string objectName, string assemblyName, string className)
		{
			var item = new DataObjectMetadata
			{
				ObjectName = objectName,
				AssemblyName = assemblyName,
				ClassName = className
			};
			this.DocumentSession.Store(item);
			this.DocumentSession.SaveChanges();
			return item;
		}
Exemple #7
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        /// <summary>
        /// internal function: normalises all the data input between 0 and 1
        /// </summary>
        private void normaliseArray(DataObjectMetadata metadataPreset)
        {
            //1 make a copy of the parsed array
            float[,] normArray = new float[dataArray.GetUpperBound(0) + 1, dataArray.GetUpperBound(1) + 1];

            originalDataValues = new float[dataArray.GetUpperBound(0) + 1, dataArray.GetUpperBound(1) + 1];

            //for each dimensions (column) normalise all data
            for (int i = 0; i <= normArray.GetUpperBound(1); i++)
            {
                float[] rawDimension = GetCol(dataArray, i);
                float   minDimension = rawDimension.Min();
                float   maxDimension = rawDimension.Max();

                metadata[i].minValue = minDimension;
                metadata[i].maxValue = maxDimension;
                metadata[i].binCount = (int)Mathf.Min(maxDimension - minDimension + 1, 200);
                // TODO: add some automated bin size calculations

                if (metadataPreset != null)
                {
                    foreach (var binSizePreset in metadataPreset.BinSizePreset)
                    {
                        if (binSizePreset.index == i)
                        {
                            metadata[i].binCount = binSizePreset.binCount;
                        }
                    }
                }

                float[] normalisedDimension = new float[rawDimension.Length];

                dimensionsRange.Add(i, new Vector2(minDimension, maxDimension));

                for (int j = 0; j < rawDimension.Length; j++)
                {
                    if (minDimension < maxDimension)
                    {
                        normalisedDimension[j] = normaliseValue(rawDimension[j], minDimension, maxDimension, 0f, 1f);
                    }
                    else
                    {
                        // avoid NaNs or nonsensical normalization
                        normalisedDimension[j] = 0;
                    }
                }

                SetCol <float>(normArray, i, normalisedDimension);
            }
            originalDataValues = dataArray;
            dataArray          = normArray;
        }
        public DataObjectMetadata CreateMetadata(string objectName, string assemblyName, string className)
        {
            var item = new DataObjectMetadata
            {
                ObjectName   = objectName,
                AssemblyName = assemblyName,
                ClassName    = className
            };

            this.DocumentSession.Store(item);
            this.DocumentSession.SaveChanges();
            return(item);
        }
Exemple #9
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        public void loadCSV(string data, DataObjectMetadata metadataPreset)
        {
            if (System.IO.File.Exists(override_file))
            {
                StreamReader reader = new StreamReader(override_file);
                data = reader.ReadToEnd();
            }

            this.metadataPreset = metadataPreset;
            if (metadataPreset != null)
            {
                geocodeIdentifier = metadataPreset.GeocodeIdentifier;
                geocodeSuffix     = metadataPreset.GeocodeSuffix;
            }

            string[] lines = data.ToString().TrimEnd(Environment.NewLine.ToCharArray()).Split('\n');
            lines = lines.Take(10000).ToArray();

            int columnsN = lines[0].Split(split).Length;

            string[][] cells = new string[columnsN][];
            for (int i = 0; i < columnsN; i++)
            {
                cells[i] = new string[lines.Length];
            }

            for (int i = 0; i < lines.Length; i++)
            {
                string[] line = lines[i].Split(split);
                for (int j = 0; j < line.Length; j++)
                {
                    cells[j][i] = line[j].Replace("\r", String.Empty);
                }
            }

            //first line is the identifiers
            for (int i = 1; i < lines.Length; i++)
            {
                dataArray.Add(new List <float>());
                originalDataValues.Add(new List <float>());
            }

            dataPoints = lines.Length - 1;

            foreach (string[] column in cells)
            {
                addColumn(column);
            }
        }
Exemple #10
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 public DataObject(string data, DataObjectMetadata metadata = null)
 {
     loadCSV(data, metadata);
 }
Exemple #11
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        /// <summary>
        ///
        /// </summary>
        /// <param name="data"></param>
        public void loadCSV(string data, DataObjectMetadata metadataPreset)
        {
            string[] lines = data.ToString().TrimEnd(Environment.NewLine.ToCharArray()).Split('\n');

            //1: read types
            identifiers = lines[0].Split(split);
            typesToRead = lines[1].Split(split);

            // create metadata
            metadata = new DimensionMetadata[identifiers.Count()];

            //clean identifiers strings
            for (int i = 0; i < identifiers.Length; i++)
            {
                string id = identifiers[i].Replace("\r", string.Empty);
                identifiers[i] = id;
            }
            nbDimensions = identifiers.Length;

            dataArray  = new float[lines.Length - 1, identifiers.Length]; // ignore the first line of identifiers
            dataPoints = dataArray.GetUpperBound(0) + 1;

            string[] theTypes = new string[typesToRead.Length];

            //type reading
            for (int i = 0; i < typesToRead.Length; i++)
            {
                if (isBool(typesToRead[i]))
                {
                    theTypes[i] = "bool";
                    TypeDimensionDictionary.Add(i, "bool");
                }
                else if (isFloat(typesToRead[i]))
                {
                    theTypes[i] = "float";
                    TypeDimensionDictionary.Add(i, "float");
                }
                else
                {
                    theTypes[i] = "string";
                    TypeDimensionDictionary.Add(i, "string");
                }
            }

            float textualPointer = 0f;

            //line reading
            for (int i = 1; i < lines.Length; i++)
            {
                string[] values = lines[i].Split(split);
                //dimension reading
                for (int k = 0; k < identifiers.Length; k++)
                {
                    string cleanedValue = values[k].Replace("\r", string.Empty);

                    //1- get the corresponding type
                    if (isBool(cleanedValue))
                    {
                        dataArray[i - 1, k] = Convert.ToSingle(bool.Parse(cleanedValue));
                    }
                    else if (cleanedValue.Contains(':'))// isDateTime(values[k]))
                    {
                        //DateTime dt = DateTime.Parse(values[k]);
                        string[] valH = cleanedValue.Split(':');
                        dataArray[i - 1, k] = float.Parse(valH[0]) * 60 + float.Parse(valH[1]);// *60 + float.Parse(valH[2]);
                    }
                    else if (isInt(cleanedValue))
                    {
                        dataArray[i - 1, k] = (float)int.Parse(cleanedValue);
                    }
                    else if (isFloat(cleanedValue))
                    {
                        //Debug.Log(k);
                        dataArray[i - 1, k] = float.Parse(cleanedValue);
                    }
                    else if (!String.IsNullOrEmpty(cleanedValue))
                    {
                        //lookup if already encoded
                        if (textualDimensions.ContainsValue(cleanedValue))
                        {
                            //Debug.Log(i + " " + k);
                            dataArray[i - 1, k] = textualDimensions.FirstOrDefault(x => x.Value == cleanedValue).Key;
                        }
                        else
                        {
                            //new key
                            textualPointer++;
                            textualDimensions.Add(textualPointer, cleanedValue);
                            dataArray[i - 1, k] = textualPointer;
                        }
                    }
                    else
                    {
                        dataArray[i - 1, k] = 0f;
                    }
                }
            }

            normaliseArray(metadataPreset);

            //build the dictionnary of sorted dimensions
            for (int i = 0; i < identifiers.Length; i++)
            {
                List <float> sortedDimension = getDimension(identifiers[i]).ToList();
                sortedDimension.Sort();
                sortedDimensions.Add(identifiers[i], sortedDimension);
            }
        }