/// <summary>
/// Update properties.
/// </summary>
/// <param name="fp">TDRCFrequencyPoint used to copy its values to this data structure.</param>
public void updateData(TDRCFrequencyPoint fp)
{
dimension = fp.dimension;
time = fp.time;
value = fp.value;
pos = fp.pos;
color = fp.color;
}
/// <summary>
/// Method to parse and process the loaded data.
/// </summary>
/// <param name="dataText">String representing the loaded text data.</param>
private void parseLoadedData(string textData)
{
// Note: CSV model / template (= loaded text data) has three field names (string) "dimension", (string) "time", and (int) value, and uses , as a delimiter
// Method structure documentation:
// [1] Parse the loaded text data to dynamically detect all existing unique dimension values.
// [2] Create a dictionary with List<TDRCFrequencyPoint> (values) for each unique dimension (key).
// [3] Parse through the loaded data again to populate individual list values (TDRCFrequencyPoint) for each dimension.
// [1] Parse the loaded text data to dynamically detect all existing unique dimension values.
//
// prepare text processing
StringReader strReader = new StringReader(textData);
// dynamically detect individual dimensions in the loaded data (based on the "dimension" field)
// by analyzing all rows in the data
List <string> detectedDimensions = new List <string>();
while (strReader.Peek() > -1)
{
// read and dismantle current line
string currentLine = strReader.ReadLine();
string[] clParts = currentLine.Split(','); // indexes: 0 = dimension, 1 = time, 2 = value
// get current dimension, and cut pre-/post-quote " of the string
string currentDimension = removeStringQuotes(clParts[0]);
// ignore header row
if (currentDimension.Equals("dimension") == false)
{
// if current dimension is not yet in the captured key list, capture it
if (detectedDimensions.Contains(currentDimension) != true)
{
detectedDimensions.Add(currentDimension);
}
}
}
// ATTENTION: Data visualzation as a 3D Radar Chart only makes sense if there are at least three data variables (= dimensions) in the data set (in order to create a radar mesh).
// Developer Note: Consider deciding / implementing a maximum count for different data variables (= dimensions) in the future.
if (detectedDimensions.Count < 3)
{
Debug.LogError("[TDRCDataLoader] parseLoadedData detected less than 3 (required) dimensions (= data variables), with textData = " + textData);
return; // abort further data processing and (GameObject) initialization
}
// [2] Create a dictionary with List<TDRCFrequencyPoint> (values) for each unique dimension (key).
//
// initialize lists of TDRCFrequencyPoints for individual dimensions (based on identified dimensions from parsed data)
// and keep track of them in a dictionary (key = dimension, value = List of TDRCFrequencyPoints for that dimension)
dataDict = new Dictionary <string, List <TDRCFrequencyPoint> >();
for (int d = 0; d < detectedDimensions.Count; d++)
{
dataDict.Add(detectedDimensions[d], new List <TDRCFrequencyPoint>());
}
// [3] Parse through the loaded data again to populate individual list values (TDRCFrequencyPoint) for each dimension.
//
// populate data structure with content from loaded data
strReader = new StringReader(textData); // reset string reader for processing from the start
while (strReader.Peek() > -1)
{
// read and dismantle current line
string currentLine = strReader.ReadLine();
string[] clParts = currentLine.Split(','); // indexes: 0 = dimension, 1 = time, 2 = value
// ignore header row
if (removeStringQuotes(clParts[0]).Equals("dimension") == false)
{
// set up new TDRCFrequencyPoint based on current line
TDRCFrequencyPoint fp = new TDRCFrequencyPoint();
fp.dimension = removeStringQuotes(clParts[0]);
fp.time = removeStringQuotes(clParts[1]);
bool wasCurrentValueParsed = int.TryParse(clParts[2], out fp.value);
if (wasCurrentValueParsed == false)
{
Debug.LogError("[TDRCDataLoader] Error parsing int value for current line = " + currentLine);
}
// determine to which dimension the current TDRCFrequencyPoint should be added
foreach (string dimensionKey in dataDict.Keys)
{
// check if current dimension key corresponds to the current TDRCFrequencyPoint's dimension
// if yes: add it to the List of TDRCFrequencyPoints, and break
if (dimensionKey.Equals(fp.dimension) == true)
{
dataDict[dimensionKey].Add(fp);
break;
}
}
}
}
// [3] Initiate GameObject set up based on loaded data (follow up from at the end of initiateDataLoading()).
//
tdrcInterface.freqPolyManager.initWithTDRCFrequencyPointListAndColorDictionary(dataDict, colorDict);
}
