def writeYamlFile(folderName, inputType, unit, approachName, houseLayout, houseNumber):
'''
This method used to prepare and output files which could be used in SmartGridToolBox yaml input file.
The content includes: 1) houseLayout 2) load txt files 3) appliance file
str, str, int, str, [[int], [int], ...], int, float => file
'''
# first of all, write the load txt
print 'START read request type file'
RequestTypeDict = CsvToLoad.readExperiment(folderName)
for RequestType in RequestTypeDict.values():
load_list = CsvToLoad.extractApplianceProfile(RequestType, unit)
CsvToLoad.generateLoadTxt(load_list, RequestType.request_name, folderName, unit)
# then get the total start time list
print 'START read requests file'
Result = ReadCSV(folderName, inputType) # read requests information from input csv file
applienceMap = yamlCalcMethods.calcRandStartTime(Result, unit, approachName, houseNumber) # get observed load
file_name = ''.join(('CSVdata/', folderName, '/' 'resident_', folderName, '_', str(houseNumber), '.yaml'))
writeFile = open(file_name, 'w')
yamlWriteMethods.writeConstParameters(writeFile)
yamlWriteMethods.writeHouseLayout(writeFile, houseLayout) # write house layout
yamlWriteMethods.writeVariableList(writeFile, houseLayout) # write variable list
yamlWriteMethods.writeConstSimulation(writeFile)
yamlWriteMethods.writeConstNetwork(writeFile)
yamlWriteMethods.writeConstHeartbeat(writeFile)
yamlWriteMethods.writeTimeSerialLoop(writeFile, applienceMap, folderName) # write load / time_series content
yamlWriteMethods.writeConstBus(writeFile)
yamlWriteMethods.writeConstGenericgen(writeFile)
yamlWriteMethods.writeConstLoop(writeFile)
applianceCount = 0
yamlWriteMethods.writeAllAppliance(houseLayout, writeFile, applienceMap, applianceCount)
writeFile.close()
def writeYamlFileWithLargeNumOfHouses(folderName, inputType, unit, approachName, houseNumber):
"""
This method used to create a yaml file with the large number of houses. In order to save code time, several
methods will import from 'yamlCalcMethods' and 'yamlWriteMethods'. Consider of the tiny different requirement,
it is better to write a new python to construct yaml file.
str, str, int, str, int, float => file
"""
print "START read request type file"
RequestTypeDict = CsvToLoad.readExperiment(folderName)
for RequestType in RequestTypeDict.values():
load_list = CsvToLoad.extractApplianceProfile(RequestType, unit)
CsvToLoad.generateLoadTxt(load_list, RequestType.request_name, folderName, unit)
print "START read requests file"
Result = ReadCSV(folderName, inputType) # read requests information from input csv file
requests = list(Result[0])
houseLayout = yamlCalcMethods.getHouseLayout(houseNumber, requests)
requestNameMinMap = yamlCalcMethods.getRequestNameMinMap(requests) # get the requestNameMinMap
ideal_shiftable_load = modify_ideal_load(Result[1][-1], unit) # get ideal shift-able load
signal_load = list(ideal_shiftable_load) # make ideal shift-able load equal to signal load
requests = updateProfile(requests, unit) # update profile
requests = getProbDistribution(requests, signal_load, unit, approachName) # update probabilities
fileCount = 0
totalRequestNumber = getTotalRequestNumber(requests)
restRequestNumber = int(totalRequestNumber)
while restRequestNumber != 0:
if restRequestNumber < houseNumber:
repeatNumber = restRequestNumber
else:
repeatNumber = houseNumber
fileName = "".join(("CSVdata/", folderName, "/resident/" "resident_", folderName, "_", str(fileCount), ".yaml"))
applianceMap = getApplianceMap(repeatNumber, requests, unit) # get the start time and request name dict
requests = setNewRequests(requests) # delete the request which quantity is zero
writeFile = open(fileName, "w")
yamlWriteMethods.writeConstParameters(writeFile)
yamlWriteMethods.writeHouseLayout(writeFile, houseLayout)
yamlWriteMethods.writeVariableList(writeFile, houseLayout)
yamlWriteMethods.writeConstSimulation(writeFile)
yamlWriteMethods.writeConstNetwork(writeFile)
yamlWriteMethods.writeConstHeartbeat(writeFile)
yamlWriteMethods.writeTimeSerialLoop(writeFile, applianceMap, folderName) # write load / time_series content
yamlWriteMethods.writeConstBus(writeFile)
yamlWriteMethods.writeConstGenericgen(writeFile)
yamlWriteMethods.writeConstLoop(writeFile)
applianceCount = 0
yamlWriteMethods.writeAllAppliance(houseLayout, writeFile, applianceMap, applianceCount, requestNameMinMap)
writeFile.close()
print "No.",
print fileCount,
print "yaml file had constructed"
fileCount = fileCount + 1
restRequestNumber = restRequestNumber - repeatNumber
print "CONSTRUCT ",
print fileCount,
print "yaml files"
def writeYamlFileAndReturnRandomProbabilities(Result, houseNumber, requests, unit, folderName, approachName, houseLayout, requestNameMinMap, S_ZipList, lengthMvList):
'''
This method used to get the random RLC result list, and request start time.
Result, int, [request, ...], int, str, str, [int, int,..], {str:int,...} => files, [[int, int,...]]
'''
# deal with the random output, and start time at same time
fileCount = 0
totalRequestNumber = yamlLargeHouseNumber.getTotalRequestNumber(requests)
restRequestNumber = int(totalRequestNumber)
# tempList = folderName.split('_');
# subFolder = ''.join((tempList[0][-1], '_', tempList[1][0]));
while restRequestNumber != 0:
if restRequestNumber < houseNumber:
repeatNumber = restRequestNumber
else:
repeatNumber = houseNumber
# fileName = ''.join(('~/project/SmartGridToolbox/examples/ResidentialA/resident/', subFolder, '/', folderName, '_', str(fileCount), '.yaml'))
fileName = ''.join(('CSVdata/', folderName, '/resident/' 'resident_', folderName, '_', str(fileCount), '.yaml'))
applianceMap = getApplianceMap(repeatNumber, requests, unit) # get the start time and request name dict
# tempNumber = 0
# for element in applianceMap.keys():
# tempNumber = tempNumber + len(applianceMap[element])
# if tempNumber > houseNumber:
# for key in applianceMap.keys():
# print key,
# print len(applianceMap[key])
# tempCount = 0
# for element in applianceMap.keys():
# if len(applianceMap[element]) != 0:
# tempCount = tempCount + 1
# if tempCount > 1:
# print 'FILE NAME IS',
# print fileCount
# for element in applianceMap.keys():
# if len(applianceMap[element]) != 0:
# print element,
# print len(applianceMap[element])
deleteRequests = setNewRequests(requests) # delete the request which quantity is zero
writeFile = open(fileName, 'w')
yamlWriteMethods.writeConstParameters(writeFile)
yamlWriteMethods.writeHouseLayout(writeFile, houseLayout)
yamlWriteMethods.writeVariableList(writeFile, houseLayout, S_ZipList, lengthMvList)
yamlWriteMethods.writeConstSimulation(writeFile)
yamlWriteMethods.writeConstNetwork(writeFile)
yamlWriteMethods.writeConstHeartbeat(writeFile)
yamlWriteMethods.writeTimeSerialLoop(writeFile, applianceMap, folderName) # write load / time_series content
yamlWriteMethods.writeConstBus(writeFile)
yamlWriteMethods.writeConstGenericgen(writeFile)
yamlWriteMethods.writeConstLoop(writeFile)
applianceCount = 0
yamlWriteMethods.writeAllAppliance(houseLayout, writeFile, applianceMap, applianceCount, requestNameMinMap)
writeFile.close()
print 'No.',
print fileCount,
print 'yaml file had constructed'
fileCount = fileCount + 1
# after constructed request number, reduce the rest request number
restRequestNumber = restRequestNumber - repeatNumber
deleteRequests = setTempProbabilitiesToProbabilities(deleteRequests)
## get the RLC random result
random_observed_load = calculateExpectedLoad(requests, unit) # get observed load
## get output relative parameters
random_observed_loads = [random_observed_load]
return random_observed_loads
def writeYamlFileAndReturnRandomProbabilitiesOneRequest(Result, houseNumber, requests, unit, folderName, approachName, houseLayout, requestNameMinMap, S_ZipList, lengthMvList):
'''
This method used to constructed yaml file and return load information, and each yaml file only had one kind of request.
'''
fileCount = 0
totalRequestNumber = yamlLargeHouseNumber.getTotalRequestNumber(requests)
restRequestNumber = int(totalRequestNumber)
createdRequestNum = 0
while restRequestNumber != 0:
if restRequestNumber < houseNumber:
repeatNumber = restRequestNumber
else:
repeatNumber = houseNumber
fileName = ''.join(('CSVdata/', folderName, '/resident/' 'resident_', folderName, '_', str(fileCount), '.yaml'))
tempResult = getApplianceMapOneRequest(repeatNumber, requests, unit) # get the start time and request name dict
applianceMap = tempResult[0]
usedNumber = int(tempResult[1])
writeFile = open(fileName, 'w')
yamlWriteMethods.writeConstParameters(writeFile)
yamlWriteMethods.writeHouseLayout(writeFile, houseLayout)
yamlWriteMethods.writeVariableList(writeFile, houseLayout, S_ZipList, lengthMvList)
yamlWriteMethods.writeConstSimulation(writeFile)
yamlWriteMethods.writeConstNetwork(writeFile)
yamlWriteMethods.writeConstHeartbeat(writeFile)
yamlWriteMethods.writeTimeSerialLoop(writeFile, applianceMap, folderName) # write load / time_series content
yamlWriteMethods.writeConstBus(writeFile)
yamlWriteMethods.writeConstGenericgen(writeFile)
yamlWriteMethods.writeConstLoop(writeFile)
applianceCount = 0
yamlWriteMethods.writeAllAppliance(houseLayout, writeFile, applianceMap, applianceCount, requestNameMinMap)
writeFile.close()
print 'FileCount is:',
print fileCount
for key in applianceMap.keys():
print key,
print len(applianceMap[key])
deleteRequests = RLCSimulate.setNewRequests(requests) # delete the request which quantity is zero
fileCount = fileCount + 1
restRequestNumber = restRequestNumber - usedNumber
createdRequestNum = createdRequestNum + usedNumber
print 'created request number is: ',
print createdRequestNum
deleteRequests = RLCSimulate.setTempProbabilitiesToProbabilities(deleteRequests)
## get the RLC random result
random_observed_load = RLCSimulate.calculateExpectedLoad(requests, unit) # get observed load
## get output relative parameters
random_observed_loads = [random_observed_load]
return random_observed_loads