def RLCSimulation(folderName, inputType, unit, approachName, houseNumber, randomFlag):
'''
This method used to construct yaml file and construct the RLC result based on random.
str, str, int, str, [int, int, ...] => file
'''
# read CSV input files
Result = ReadCSV(folderName, inputType)
requests = list(Result[0])
ideal_type_load = modify_ideal_load(Result[1][-1], unit)
# write load profile files
getLoadProfileFiles(folderName, unit)
# get house layout and zip_loads
houseLayout = yamlCalcMethods.getHouseLayout(houseNumber, requests)
S_ZipList = yamlCalcMethods.getSZipList(len(houseLayout))
lengthMvList = yamlCalcMethods.getLengthMvList(len(houseLayout))
# get the load, which not perform RLC approach
original_loads = getOriginalObservedLoad(Result, unit, approachName)
# get the relationship between request name, and its last minute number
requestNameMinMap = yamlCalcMethods.getRequestNameMinMap(requests) # get the requestNameMinMap
# write yaml file, and return RLC result
random_observed_loads = writeYamlFileAndReturnRandomProbabilities(Result, houseNumber, requests, unit, folderName, approachName, houseLayout, requestNameMinMap, S_ZipList, lengthMvList)
# write the csv file which save original and RLC loads
write_output(ideal_type_load, original_loads, random_observed_loads, folderName, inputType, randomFlag)
print 'FINISH Random Output'
def main():
## input information
folder_name = 'Experiment2_1'
input_type = 'ideal_shiftable_load'
unit = 5
approach_name = 'profile_load'
random_flag = True
Result = ReadCSV(folder_name, input_type) # read requests information from input csv file
requests = Result[0]
ideal_type_load = modify_ideal_load(Result[1][-1], unit)
initialResult = initialSituation(ideal_type_load, requests, unit, approach_name)
original_observed_load = initialResult[1] # get the observed load without random approach
original_loads = [original_observed_load]
random_observed_load = calcRandLoad(Result, unit, approach_name) # get observed load
## get output relative parameters
random_observed_loads = [random_observed_load]
write_output(ideal_type_load, original_loads, random_observed_loads, folder_name, input_type, random_flag) # output results
print 'Job Done.'
