private static bool GetFeatureClassTypes([NotNull] TextReader textReader,
[NotNull] Matrix matrix)
{
string featureClassName = null;
string featureClassFilter = null;
int iRow = 0;
while (true)
{
string matLine = textReader.ReadLine();
if (string.IsNullOrEmpty(matLine))
{
foreach (FeatureTypeProps fcProps in matrix._featureClassTypes)
{
fcProps.SubType.FeatureClassFilter = featureClassFilter;
}
return(false);
}
string[] matStrings = matLine.Split(';');
string defString = matStrings[0].Trim();
string featureClassSubtype = matStrings[1].Trim();
string defaultDistance = matStrings[2];
string rightSideDistance = matStrings[3];
if (iRow == 0)
{
featureClassName = defString;
}
if (iRow == 1)
{
featureClassFilter = defString;
}
iRow++;
FeatureTypeProps props =
new FeatureTypeProps
{
SubType = new ConnectionType(Assert.NotNull(featureClassName),
featureClassSubtype)
};
props.CanOverlap = new List <int>();
props.DefaultDistance = double.Parse(defaultDistance);
if (!string.IsNullOrWhiteSpace(rightSideDistance))
{
props.RightSideDistance = double.Parse(rightSideDistance);
}
// TODO: verify size
for (int iRefType = 0; iRefType < matrix._referenceTypes.Count; iRefType++)
{
string overlapString = matStrings[_matStart + iRefType].Trim();
if (overlapString == "x")
{
overlapString = "-1";
}
props.CanOverlap.Add(int.Parse(overlapString));
}
matrix._featureClassTypes =
matrix._featureClassTypes ?? new List <FeatureTypeProps>();
matrix._featureClassTypes.Add(props);
}
}
private static Matrix InitMatrix(
[NotNull] VectorDataset featureClassDataset,
[CanBeNull] string featureClassFilter,
[NotNull] VectorDataset referenceDataset,
[CanBeNull] string referenceFilter,
[NotNull] IList <int> referenceSubtypes,
[NotNull] IList <string> featuresubtypeRules)
{
List <ConnectionType> refSubtypes = new List <ConnectionType>();
{
GetSubtypes(referenceDataset, out string field, out IList <Subtype> refTypes);
Assert.NotNull(refTypes);
string reference = referenceDataset.Name;
foreach (int referenceSubtype in referenceSubtypes)
{
string subtype = refTypes.First(x => x.Code == referenceSubtype).Name;
refSubtypes.Add(
new ConnectionType(reference, field, subtype, referenceSubtype)
{
FeatureClassFilter = referenceFilter
});
}
if (refSubtypes.Count == 0)
{
foreach (Subtype refType in refTypes)
{
refSubtypes.Add(
new ConnectionType(reference, field, refType.Name, refType.Code)
{
FeatureClassFilter = referenceFilter
});
}
}
}
List <FeatureTypeProps> featureClassSubtypes = new List <FeatureTypeProps>();
{
GetSubtypes(featureClassDataset, out string field, out IList <Subtype> fcTypes);
Assert.NotNull(fcTypes);
string featureclass = featureClassDataset.Name;
foreach (string rule in featuresubtypeRules)
{
IList <string> ruleParts = rule.Split(';');
int fcSubtype = int.Parse(ruleParts[0]);
string subtype = fcTypes.First(x => x.Code == fcSubtype).Name;
List <int> canOverlaps = new List <int>();
foreach (int overlapIndex in EnumOverlapIndices(
ruleParts, rule, referenceSubtypes))
{
if (!int.TryParse(ruleParts[overlapIndex], out int canOverlap))
{
throw new InvalidOperationException(
$"Invalid overlap index '{ruleParts[overlapIndex]}' in featureSubtypeRule '{rule}'");
}
canOverlaps.Add(canOverlap);
}
ConnectionType conn =
new ConnectionType(featureclass, field, subtype, fcSubtype)
{
FeatureClassFilter = featureClassFilter
};
FeatureTypeProps props =
new FeatureTypeProps
{
SubType = conn,
DefaultDistance = double.Parse(ruleParts[1]),
CanOverlap = canOverlaps
};
if (!string.IsNullOrWhiteSpace(ruleParts[2]))
{
props.RightSideDistance = double.Parse(ruleParts[2]);
}
featureClassSubtypes.Add(props);
}
if (featuresubtypeRules.Count == 0)
{
foreach (Subtype fcType in fcTypes)
{
ConnectionType conn =
new ConnectionType(featureclass, field, fcType.Name, fcType.Code)
{
FeatureClassFilter = featureClassFilter
};
featureClassSubtypes.Add(new FeatureTypeProps
{
SubType = conn, DefaultDistance = 1,
CanOverlap =
new List <int>(new int[refSubtypes.Count])
});
}
}
}
return(new Matrix(featureClassSubtypes, refSubtypes));
}
