/// ------------------------------------------------------------------------------------
/// <summary>
/// Parses a single record, going through its fields and parsing them into individual
/// word entries.
/// </summary>
/// ------------------------------------------------------------------------------------
public void ParseEntry(RecordCacheEntry entry)
{
TmpRecCacheAddAction(entry.Id, entry[m_phoneticFieldName]);
entry.WordEntries = new List <WordCacheEntry>();
// Parse interlinear fields first, if there are any.
if (entry.HasInterlinearData)
{
ParseEntryAsInterlinear(entry);
}
var eticField = entry.Project.GetPhoneticField();
// var eticMapping = entry.DataSource.FieldMappings.Single(m => m.Field.Name == eticField.Name);
// If we didn't parse any interlinear fields or the phonetic wasn't among
// them, make sure it gets parsed before any other non interlinear fields.
//if (eticMapping.IsParsed && !entry.GetIsInterlinearField(eticField.Name))
// ParseSingleFieldInEntry(entry, eticField);
// I've commented out the check above because it doesn't seem right that the
// phonetic mapping's IsParsed can be false. Therefore, I will always parse
// it. I hesitate to delete the commented out code in case I'm overlooking
// something.
if (!entry.GetIsInterlinearField(eticField.Name))
{
ParseSingleFieldInEntry(entry, eticField);
}
// Parse all the non phonetic, non interlinear fields.
foreach (var mapping in entry.DataSource.FieldMappings.Where(m => m.IsParsed &&
m.Field.Type != FieldType.Phonetic && !entry.GetIsInterlinearField(m.Field.Name)))
{
ParseSingleFieldInEntry(entry, mapping.Field);
}
}
