private GoalPrioritizingConfiguration ReadGoalPrioritizingConfiguration()
{
if (CurrentName == "GoalPrioritizing")
{
var currentLine = new StringReader(CurrentLine);
GetNextLine();
var gp = new InputVar <string>("GoalPrioritizing");
ReadValue(gp, currentLine);
var goalPrioritizingType = new InputVar <string>("GoalPrioritizingType");
ReadValue(goalPrioritizingType, currentLine);
var type = (GoalPrioritizingType)Enum.Parse(typeof(GoalPrioritizingType), goalPrioritizingType.Value);
switch (type)
{
case GoalPrioritizingType.Default: break;
case GoalPrioritizingType.VBGP:
{
var configFile = new InputVar <string>("GoalPrioritizingConfig");
ReadValue(configFile, currentLine);
return(new GoalPrioritizingConfiguration
{
GoalPrioritizingType = GoalPrioritizingType.VBGP,
ConfigFile = configFile.Value.String
});
}
}
}
return(new GoalPrioritizingConfiguration
{
GoalPrioritizingType = GoalPrioritizingType.Default,
ConfigFile = ""
});
}
private List <AgentArchetypeVariable> ReadAgentArchetypeVariables()
{
SkipUntilConfiguration("AgentArchetypeVariables");
var variableName = new InputVar <string>("VariableName");
var archetypeName = new InputVar <string>("ArchetypeName");
var variableType = new InputVar <string>("VariableType");
var variableValue = new InputVar <string>("VariableValue");
var agentArchetypeVariables = new List <AgentArchetypeVariable>();
while (!CurrentName.Equals("AgentGoalAttributes"))
{
var currentLine = new StringReader(CurrentLine);
var agentArchetypeVariable = new AgentArchetypeVariable();
// 2021-01-21 Archetype name must come first
ReadValue(archetypeName, currentLine);
agentArchetypeVariable.ArchetypeName = archetypeName.Value;
ReadValue(variableName, currentLine);
agentArchetypeVariable.VariableName = variableName.Value;
ReadValue(variableType, currentLine);
agentArchetypeVariable.VariableType = variableType.Value;
ReadValue(variableValue, currentLine);
agentArchetypeVariable.VariableValue = variableValue.Value;
agentArchetypeVariables.Add(agentArchetypeVariable);
GetNextLine();
}
return(agentArchetypeVariables);
}
private List <AgentArchetype> ReadAgentArchetypes()
{
SkipUntilConfiguration("AgentArchetypeAttributes");
var archetypeName = new InputVar <string>("ArchetypeName");
var archetypePrefix = new InputVar <string>("ArchetypePrefix");
var dataSetOriented = new InputVar <bool>("DataSetOriented");
var goalImportanceAdjusting = new InputVar <bool>("GoalImportanceAdjusting");
var agentArchetypes = new List <AgentArchetype>();
while (!CurrentName.Equals("AgentArchetypeVariables"))
{
var currentLine = new StringReader(CurrentLine);
var agentArchetype = new AgentArchetype();
ReadValue(archetypeName, currentLine);
agentArchetype.ArchetypeName = archetypeName.Value;
ReadValue(archetypePrefix, currentLine);
agentArchetype.ArchetypePrefix = archetypePrefix.Value;
ReadValue(dataSetOriented, currentLine);
agentArchetype.DataSetOriented = dataSetOriented.Value;
ReadValue(goalImportanceAdjusting, currentLine);
agentArchetype.GoalImportanceAdjusting = goalImportanceAdjusting.Value;
agentArchetypes.Add(agentArchetype);
GetNextLine();
}
return(agentArchetypes);
}
private List <Probability> ReadProbabilities()
{
SkipUntilConfiguration("ProbabilityAttributes");
var variableParameter = new InputVar <string>("VariableParameter");
var variableType = new InputVar <string>("VariableType");
var fileName = new InputVar <string>("FileName");
var ignoreFirstLine = new InputVar <bool>("IgnoreFirstLine");
var probabilities = new List <Probability>();
while (!string.IsNullOrEmpty(CurrentLine))
{
var probability = new Probability();
var currentLine = new StringReader(CurrentLine);
ReadValue(variableParameter, currentLine);
probability.VariableParameter = variableParameter.Value;
ReadValue(variableType, currentLine);
probability.VariableType = variableType.Value;
ReadValue(fileName, currentLine);
probability.FileName = fileName.Value;
ReadValue(ignoreFirstLine, currentLine);
probability.IgnoreFirstLine = ignoreFirstLine.Value;
probabilities.Add(probability);
GetNextLine();
}
return(probabilities);
}
private List <MentalModel> ReadMentalModels()
{
SkipUntilConfiguration("MentalModelAttributes");
var agentArchetype = new InputVar <string>("AgentArchetype");
var name = new InputVar <string>("Name");
var modifiable = new InputVar <bool>("Modifiable");
var maxNumberOfDecisionOptions = new InputVar <int>("MaxNumberOfDecisionOptions");
var decisionOptionGoalRelationship = new InputVar <string>("DecisionOptionGoalRelationship");
var associatedWithGoals = new InputVar <string>("AssociatedWithGoals");
var consequentValueRange = new InputVar <string>("ConsequentValueRange");
var consequentRound = new InputVar <int>("ConsequentRound");
// Debugger.Launch();
var mentalModels = new List <MentalModel>();
while (CurrentName != "DecisionOptionAttributes")
{
var stringReader = new StringReader(CurrentLine);
var mentalModel = new MentalModel();
ReadValue(agentArchetype, stringReader);
mentalModel.AgentArchetype = agentArchetype.Value;
ReadValue(name, stringReader);
mentalModel.Name = name.Value;
ReadValue(modifiable, stringReader);
mentalModel.Modifiable = modifiable.Value;
ReadValue(maxNumberOfDecisionOptions, stringReader);
mentalModel.MaxNumberOfDecisionOptions = maxNumberOfDecisionOptions.Value;
ReadValue(decisionOptionGoalRelationship, stringReader);
mentalModel.DecisionOptionGoalRelationship = decisionOptionGoalRelationship.Value;
ReadValue(associatedWithGoals, stringReader);
mentalModel.AssociatedWithGoals = associatedWithGoals.Value;
if (stringReader.Index < CurrentLine.Length)
{
ReadValue(consequentValueRange, stringReader);
mentalModel.ConsequentValueRange = consequentValueRange.Value;
ReadValue(consequentRound, stringReader);
mentalModel.ConsequentRound = consequentRound.Value;
}
mentalModels.Add(mentalModel);
GetNextLine();
}
return(mentalModels);
}
private List <GoalAttribute> ReadGoalAttributes()
{
SkipUntilConfiguration("GoalAttributes");
var agentArchetype = new InputVar <string>("AgentArchetype");
var goalName = new InputVar <string>("Goal");
var goalTendency = new InputVar <string>("GoalTendency");
var referenceVariable = new InputVar <string>("ReferenceVariable");
var changeValueOnPrior = new InputVar <bool>("ChangeValueOnPrior");
var isCumulative = new InputVar <bool>("IsCumulative");
var focalValueReferenceVariable = new InputVar <string>("FocalValueReferenceVariable");
var goals = new List <GoalAttribute>();
while (CurrentName != "MentalModelAttributes")
{
var currentLine = new StringReader(CurrentLine);
var goal = new GoalAttribute();
ReadValue(agentArchetype, currentLine);
goal.AgentArchetype = agentArchetype.Value;
ReadValue(goalName, currentLine);
goal.Name = goalName.Value;
ReadValue(goalTendency, currentLine);
goal.Tendency = (GoalTendency)Enum.Parse(typeof(GoalTendency), goalTendency.Value);
ReadValue(referenceVariable, currentLine);
goal.ReferenceVariable = referenceVariable.Value;
ReadValue(changeValueOnPrior, currentLine);
goal.ChangeValueOnPrior = changeValueOnPrior.Value;
ReadValue(isCumulative, currentLine);
goal.IsCumulative = isCumulative.Value;
ReadValue(focalValueReferenceVariable, currentLine);
goal.FocalValueReferenceVariable =
focalValueReferenceVariable.Value == "-" ? "" : focalValueReferenceVariable.Value;
goals.Add(goal);
GetNextLine();
}
return(goals);
}
//read biomass coefficients from a file into matrix, (float) BioMassData(int ID,2). No Return Value
//Read a ID first from the file, and ID is the size of BioMassData;
//Read the two variable in to BioMassData(v1,v2)
protected override BiomassParam Parse()
{
ReadLandisDataVar();
InputVar <int> speciesnum = new InputVar <int>("Number_of_species_class");
ReadVar(speciesnum);
SpeciesParameters.biomass_util.SetBiomassNum(speciesnum.Value.Actual);
InputVar <float> biomassThreshold = new InputVar <float>("minimum_DBH_for_calculating_biomass");
ReadVar(biomassThreshold);
SpeciesParameters.biomass_util.BiomassThreshold = biomassThreshold.Value.Actual;
InputVar <float> float_val = new InputVar <float>("V0 or V1 value for each species");
for (int i = 1; i <= speciesnum.Value.Actual; i++)
{
if (AtEndOfInput)
{
throw NewParseException("Expected a line here");
}
Landis.Utilities.StringReader currentLine = new Landis.Utilities.StringReader(CurrentLine);
ReadValue(float_val, currentLine);
SpeciesParameters.biomass_util.SetBiomassData(i, 1, float_val.Value.Actual);
ReadValue(float_val, currentLine);
SpeciesParameters.biomass_util.SetBiomassData(i, 2, float_val.Value.Actual);
//CheckNoDataAfter("the Ecoregion " + float_val + " column",
// currentLine);
GetNextLine();
}
return(null);
}
