def setValue(self, valueName, valueValue):
''' set the variable valueName to valueValue
@param valueName: name of variable to be set
@type valueName: string
@param valueValue: new value
@type valueValue: any type castable to the type of the variable valueName
'''
ScalarVariableReferenceVector = FMUInterface.createfmiReferenceVector(1)
ScalarVariableReferenceVector[0] = self.description.scalarVariables[valueName].valueReference
if self.description.scalarVariables[valueName].type.type == 'Real':
ScalarVariableValueVector = FMUInterface.createfmiRealVector(1)
ScalarVariableValueVector[0] = float(valueValue)
self.fmiSetReal(ScalarVariableReferenceVector, ScalarVariableValueVector)
elif self.description.scalarVariables[valueName].type.type in ['Integer', 'Enumeration']:
ScalarVariableValueVector = FMUInterface.createfmiIntegerVector(1)
ScalarVariableValueVector[0] = int(valueValue)
self.fmiSetInteger(ScalarVariableReferenceVector, ScalarVariableValueVector)
elif self.description.scalarVariables[valueName].type.type == 'Boolean':
ScalarVariableValueVector = FMUInterface.createfmiBooleanVector(1)
if valueValue == "true":
ScalarVariableValueVector[0] = fmiTrue
else:
ScalarVariableValueVector[0] = fmiFalse
self.fmiSetBoolean(ScalarVariableReferenceVector, ScalarVariableValueVector)
elif self.description.scalarVariables[valueName].type.type == 'String':
ScalarVariableValueVector = FMUInterface.createfmiStringVector(1)
ScalarVariableValueVector[0] = str(valueValue)
self.fmiSetString(ScalarVariableReferenceVector, ScalarVariableValueVector)
def prepareResultFile():
# Prepare result file
fmi = self.description
(modelDescription, modelVariables, simpleTypes, units,
enumerations) = MtsfFmi.convertFromFmi('', fmi)
# Phase 1 of result file generation
settings = self.integrationSettings
experimentSetup = pyMtsf.ExperimentSetup(
startTime=settings.startTime,
stopTime=settings.stopTime,
algorithm=settings.algorithmName,
relativeTolerance=settings.errorToleranceRel,
author=getpass.getuser(),
description="",
generationDateAndTime=time.strftime("%a, %d %b %Y %H:%M:%S",
time.gmtime()),
generationTool="PySimulator",
machine=os.getenv('COMPUTERNAME'),
cpuTime="")
modelVariables.allSeries[0].initialRows = 1 # Fixed
modelVariables.allSeries[2].initialRows = 10 # Discrete
if settings.gridPointsMode == 'NumberOf':
nGridPoints = settings.gridPoints
elif settings.gridPointsMode == 'Width':
nGridPoints = 1 + int(
(settings.stopTime - settings.startTime) /
settings.gridWidth)
else:
nGridPoints = 1
modelVariables.allSeries[1].initialRows = max(
nGridPoints,
modelVariables.allSeries[2].initialRows) # Continuous
# Create result object
mtsf = Mtsf.Results(settings.resultFileName, modelDescription,
modelVariables, experimentSetup, simpleTypes,
units, enumerations)
if not mtsf.isAvailable:
print("Result file " + settings.resultFileName +
" cannot be opened for write access.\n")
self.integrationResults = Plugins.SimulationResult.IntegrationResults.Results(
)
return False
# Create fmi reference lists in categories
for series in mtsf._mtsf.results.series.values():
for category in series.category.values():
category.references = FMUInterface.createfmiReferenceVector(
category.nColumn)
category.iReferences = -1
dataType = pyMtsf.CategoryReverseMapping[category.name]
if dataType == 'Real':
category.fmiGetValues = self.interface.fmiGetReal
elif dataType == 'Integer':
category.fmiGetValues = self.interface.fmiGetInteger
elif dataType == 'Boolean':
category.fmiGetValues = self.interface.fmiGetBoolean
elif dataType == 'String':
category.fmiGetValues = self.interface.fmiGetString
for name, variable in modelVariables.variable.items():
if variable.aliasName is None:
variable.category.iReferences += 1
if name in fmi.scalarVariables:
# print variable.seriesIndex, variable.category.name, name, variable.category.iReferences, len(variable.category.references)
variable.category.references[
variable.category.
iReferences] = fmi.scalarVariables[
name].valueReference
else:
# e.g. for time variables, that do not exist in fmi-world
series = variable.category.series
series.independentVariableCategory = variable.category
variable.category.independentVariableColumn = variable.columnIndex
variable.category.references[
variable.category.iReferences] = 0
for series in mtsf._mtsf.results.series.values():
if hasattr(series, 'independentVariableCategory'):
category = series.independentVariableCategory
column = category.independentVariableColumn
if column > 0:
dummy = 0
else:
dummy = 1
if category.references.shape[0] > dummy:
category.references[column] = category.references[
dummy]
else:
category.references = numpy.array([])
else:
series.independentVariableCategory = None
self.integrationResults = mtsf
return True
def getValue(self, name):
''' Returns the values of the variables given in name;
name is either a String or a list of Strings.
'''
if types.TypeType(name) == types.ListType:
n = len(name)
nameList = True
names = name
else:
n = 1
nameList = False
names = [name]
iReal = []
iInteger = []
iBoolean = []
iString = []
refReal = []
refInteger = []
refBoolean = []
refString = []
for i, x in enumerate(names):
dataType = self.description.scalarVariables[x].type.type
if dataType == 'Real':
refReal.append(
self.description.scalarVariables[x].valueReference)
iReal.append(i)
elif dataType == 'Integer':
refInteger.append(
self.description.scalarVariables[x].valueReference)
iInteger.append(i)
elif dataType == 'Boolean':
refBoolean.append(
self.description.scalarVariables[x].valueReference)
iBoolean.append(i)
elif dataType == 'String':
refString.append(
self.description.scalarVariables[x].valueReference)
iString.append(i)
retValue = range(n)
k = len(refReal)
if k > 0:
ref = FMUInterface.createfmiReferenceVector(k)
for i in xrange(k):
ref[i] = refReal[i]
values = self.interface.fmiGetReal(ref)
for i in xrange(k):
retValue[iReal[i]] = values[i]
k = len(refInteger)
if k > 0:
ref = FMUInterface.createfmiReferenceVector(k)
for i in xrange(k):
ref[i] = refInteger[i]
values = self.interface.fmiGetInteger(ref)
for i in xrange(k):
retValue[iInteger[i]] = values[i]
k = len(refBoolean)
if k > 0:
ref = FMUInterface.createfmiReferenceVector(k)
for i in xrange(k):
ref[i] = refBoolean[i]
values = self.interface.fmiGetBoolean(ref)
for i in xrange(k):
retValue[iBoolean[i]] = values[i]
k = len(refString)
if k > 0:
ref = FMUInterface.createfmiReferenceVector(k)
for i in xrange(k):
ref[i] = refString[i]
values = self.interface.fmiGetString(ref)
for i in xrange(k):
retValue[iString[i]] = values[i]
if nameList:
return retValue
else:
return retValue[0]
def getValue(self, name):
''' Returns the values of the variables given in name;
name is either a String or a list of Strings.
'''
if type(name) == list:
n = len(name)
nameList = True
names = name
else:
n = 1
nameList = False
names = [name]
iReal = []
iInteger = []
iBoolean = []
iString = []
refReal = []
refInteger = []
refBoolean = []
refString = []
for i, x in enumerate(names):
dataType = self.description.scalarVariables[x].type.type
if dataType == 'Real':
refReal.append(self.description.scalarVariables[x].valueReference)
iReal.append(i)
elif dataType == 'Integer':
refInteger.append(self.description.scalarVariables[x].valueReference)
iInteger.append(i)
elif dataType == 'Boolean':
refBoolean.append(self.description.scalarVariables[x].valueReference)
iBoolean.append(i)
elif dataType == 'String':
refString.append(self.description.scalarVariables[x].valueReference)
iString.append(i)
#TODO: hier werden Werte für bestimmte Variablen abgerufen.
retValue = list(range(n))
k = len(refReal)
if k > 0:
ref = FMUInterface.createfmiReferenceVector(k)
for i in range(k):
ref[i] = refReal[i]
values = self.fmiGetReal(ref)
for i in range(k):
retValue[iReal[i]] = values[i]
k = len(refInteger)
if k > 0:
ref = FMUInterface.createfmiReferenceVector(k)
for i in range(k):
ref[i] = refInteger[i]
values = self.fmiGetInteger(ref)
for i in range(k):
retValue[iInteger[i]] = values[i]
k = len(refBoolean)
if k > 0:
ref = FMUInterface.createfmiReferenceVector(k)
for i in range(k):
ref[i] = refBoolean[i]
values = self.fmiGetBoolean(ref)
for i in range(k):
retValue[iBoolean[i]] = values[i]
k = len(refString)
if k > 0:
ref = FMUInterface.createfmiReferenceVector(k)
for i in range(k):
ref[i] = refString[i]
values = self.fmiGetString(ref)
for i in range(k):
retValue[iString[i]] = values[i]
if nameList:
return retValue
else:
return retValue[0]
def prepareResultFile():
# Prepare result file
fmi = self.description
(modelDescription, modelVariables, simpleTypes, units, enumerations) = MtsfFmi.convertFromFmi('', fmi)
# Phase 1 of result file generation
settings = self.integrationSettings
experimentSetup = pyMtsf.ExperimentSetup(startTime=settings.startTime, stopTime=settings.stopTime,
algorithm=settings.algorithmName, relativeTolerance=settings.errorToleranceRel,
author=getpass.getuser(), description="",
generationDateAndTime=time.strftime("%a, %d %b %Y %H:%M:%S", time.gmtime()),
generationTool="PySimulator", machine=os.getenv('COMPUTERNAME'),
cpuTime="")
modelVariables.allSeries[0].initialRows = 1 # Fixed
modelVariables.allSeries[2].initialRows = 10 # Discrete
if settings.gridPointsMode == 'NumberOf':
nGridPoints = settings.gridPoints
elif settings.gridPointsMode == 'Width':
nGridPoints = 1 + int((settings.stopTime - settings.startTime) / settings.gridWidth)
else:
nGridPoints = 1
modelVariables.allSeries[1].initialRows = max(nGridPoints, modelVariables.allSeries[2].initialRows) # Continuous
# Create result object
mtsf = Mtsf.Results(settings.resultFileName,
modelDescription, modelVariables, experimentSetup, simpleTypes, units, enumerations)
if not mtsf.isAvailable:
print("Result file " + settings.resultFileName + " cannot be opened for write access.\n")
self.integrationResults = Plugins.SimulationResult.IntegrationResults.Results()
return False
# Create fmi reference lists in categories
for series in mtsf._mtsf.results.series.values():
for category in series.category.values():
category.references = FMUInterface.createfmiReferenceVector(category.nColumn)
category.iReferences = -1
dataType = pyMtsf.CategoryReverseMapping[category.name]
if dataType == 'Real':
category.fmiGetValues = self.interface.fmiGetReal
elif dataType == 'Integer':
category.fmiGetValues = self.interface.fmiGetInteger
elif dataType == 'Boolean':
category.fmiGetValues = self.interface.fmiGetBoolean
elif dataType == 'String':
category.fmiGetValues = self.interface.fmiGetString
for name, variable in modelVariables.variable.items():
if variable.aliasName is None:
variable.category.iReferences += 1
if name in fmi.scalarVariables:
# print variable.seriesIndex, variable.category.name, name, variable.category.iReferences, len(variable.category.references)
variable.category.references[variable.category.iReferences] = fmi.scalarVariables[name].valueReference
else:
# e.g. for time variables, that do not exist in fmi-world
series = variable.category.series
series.independentVariableCategory = variable.category
variable.category.independentVariableColumn = variable.columnIndex
variable.category.references[variable.category.iReferences] = 0
for series in mtsf._mtsf.results.series.values():
if hasattr(series, 'independentVariableCategory'):
category = series.independentVariableCategory
column = category.independentVariableColumn
if column > 0:
dummy = 0
else:
dummy = 1
if category.references.shape[0] > dummy:
category.references[column] = category.references[dummy]
else:
category.references = numpy.array([])
else:
series.independentVariableCategory = None
self.integrationResults = mtsf
return True
