A test created for this example

dream/KnowledgeExtraction/KEtool_examples/AssembleDismantle/AssembleDismantle_example.py

@@ -31,62 +31,83 @@ from dream.KnowledgeExtraction.JSONOutput import JSONOutput
 import dream.simulation.LineGenerationJSON as ManPyMain #import ManPy main JSON script
 import xlrd
 import json
+import os
 
-#Read from the given directory the Excel document with the input data
-workbook = xlrd.open_workbook('inputData.xls')
-worksheets = workbook.sheet_names()
-worksheet_ProcessingTimes = worksheets[0]     #Define the worksheet with the Processing times data
-worksheet_MTTF = worksheets[1]       #Define the worksheet with Time-to-Failure data
-worksheet_MTTR = worksheets[2]       #Define the worksheet with Time-to-Repair data
-
-A = Import_Excel()                              #Call the Python object Import_Excel
-ProcessingTimes = A.Input_data(worksheet_ProcessingTimes, workbook)   #Create the Processing Times dictionary with key the Machine 1 and values the processing time data
-MTTF=A.Input_data(worksheet_MTTF, workbook)        #Create the MTTF dictionary with key the Machine 1 and time-to-failure data 
-MTTR=A.Input_data(worksheet_MTTR, workbook)        #Create the MTTR Quantity dictionary with key the Machine 1 and time-to-repair data 
-
-##Get from the above dictionaries the M1 key and define the following lists with data 
-ProcTime = ProcessingTimes.get('M1',[])         
-MTTF = MTTF.get('M1',[])
-MTTR = MTTR.get('M1',[])
-
-#Call the HandleMissingValues object and replace the missing values in the lists with the mean of the non-missing values
-B =HandleMissingValues()
-ProcTime = B.ReplaceWithMean(ProcTime)
-MTTF = B.ReplaceWithMean(MTTF)
-MTTR = B.ReplaceWithMean(MTTR)
-
-C = Distributions()      #Call the Distributions object
-D = DistFittest()      #Call the DistFittest object
-
-ProcTime_dist = D.ks_test(ProcTime)
-MTTF_dist = C.Exponential_distrfit(MTTF)
-MTTR_dist = C.Exponential_distrfit(MTTR)
-#================================= Output preparation: output the updated values in the JSON file of this example =========================================================#
-jsonFile = open('JSON_AssembleDismantle.json','r')      #It opens the JSON file 
-data = json.load(jsonFile)                                                              #It loads the file
-jsonFile.close()
-
-exportJSON=JSONOutput()
-stationId='M1'
-data=exportJSON.ProcessingTimes(data, stationId, ProcTime_dist)
-data1=exportJSON.TTF(data, stationId, MTTF_dist)
-data2=exportJSON.TTR(data1, stationId, MTTR_dist)
+def main(test=0, ExcelFileName='inputData.xls',
+                JSONFileName='JSON_AssembleDismantle.json',
+                workbook=None,
+                jsonFile=None):
+    if not workbook:
+        workbook = xlrd.open_workbook(os.path.join(os.path.dirname(os.path.realpath(__file__)), ExcelFileName))
+    #Read from the given directory the Excel document with the input data
+    worksheets = workbook.sheet_names()
+    worksheet_ProcessingTimes = worksheets[0]     #Define the worksheet with the Processing times data
+    worksheet_MTTF = worksheets[1]       #Define the worksheet with Time-to-Failure data
+    worksheet_MTTR = worksheets[2]       #Define the worksheet with Time-to-Repair data
     
-jsonFile = open('JSON_AssembleDismantle_Output.json',"w")     #It opens the JSON file
-jsonFile.write(json.dumps(data2, indent=True))                                           #It writes the updated data to the JSON file 
-jsonFile.close()                                                                        #It closes the file
-#================================ Calling the ExcelOutput object, outputs the outcomes of the statistical analysis in xls files =============================================#
-C=Output()
-C.PrintStatisticalMeasures(ProcTime,'ProcTime_StatResults.xls')   
-C.PrintStatisticalMeasures(MTTR,'MTTR_StatResults.xls')
-C.PrintStatisticalMeasures(MTTF,'MTTF_StatResults.xls')   
-C.PrintDistributionFit(ProcTime,'ProcTime_DistFitResults.xls')
-C.PrintDistributionFit(MTTR,'MTTR_DistFitResults.xls')
-
-#================================ Call ManPy and run the simulation model =============================================#
-#calls ManPy main script with the input
-simulationOutput=ManPyMain.main(input_data=json.dumps(data))
-# save the simulation output
-jsonFile = open('ManPyOutput.json',"w")     #It opens the JSON file
-jsonFile.write(simulationOutput)           #It writes the updated data to the JSON file 
-jsonFile.close()                         #It closes the file
\ No newline at end of file
+    A = Import_Excel()                              #Call the Python object Import_Excel
+    ProcessingTimes = A.Input_data(worksheet_ProcessingTimes, workbook)   #Create the Processing Times dictionary with key the Machine 1 and values the processing time data
+    MTTF=A.Input_data(worksheet_MTTF, workbook)        #Create the MTTF dictionary with key the Machine 1 and time-to-failure data 
+    MTTR=A.Input_data(worksheet_MTTR, workbook)        #Create the MTTR Quantity dictionary with key the Machine 1 and time-to-repair data 
+    
+    ##Get from the above dictionaries the M1 key and define the following lists with data 
+    ProcTime = ProcessingTimes.get('M1',[])         
+    MTTF = MTTF.get('M1',[])
+    MTTR = MTTR.get('M1',[])
+    
+    #Call the HandleMissingValues object and replace the missing values in the lists with the mean of the non-missing values
+    B =HandleMissingValues()
+    ProcTime = B.ReplaceWithMean(ProcTime)
+    MTTF = B.ReplaceWithMean(MTTF)
+    MTTR = B.ReplaceWithMean(MTTR)
+    
+    C = Distributions()      #Call the Distributions object
+    D = DistFittest()      #Call the DistFittest object
+    
+    ProcTime_dist = D.ks_test(ProcTime)
+    MTTF_dist = C.Exponential_distrfit(MTTF)
+    MTTR_dist = C.Exponential_distrfit(MTTR)
+    #================================= Output preparation: output the updated values in the JSON file of this example =========================================================#
+    if not jsonFile:
+        jsonFile = open(os.path.join(os.path.dirname(os.path.realpath(__file__)), JSONFileName),'r')      #It opens the JSON file 
+        data = json.load(jsonFile)             #It loads the file
+        jsonFile.close()
+    else:
+        data = json.load(jsonFile) 
+    
+    exportJSON=JSONOutput()
+    stationId='M1'
+    data=exportJSON.ProcessingTimes(data, stationId, ProcTime_dist)
+    data1=exportJSON.TTF(data, stationId, MTTF_dist)
+    data2=exportJSON.TTR(data1, stationId, MTTR_dist)
+    
+    #================================ Call ManPy and run the simulation model =============================================#
+    #calls ManPy main script with the input
+    simulationOutput=ManPyMain.main(input_data=json.dumps(data2))
+    
+    # if we run from test return the ManPy result
+    if test:
+        return simulationOutput
+    
+    #===================== Output the JSON file ========================================#
+    jsonFile = open('JSON_AssembleDismantle_Output.json',"w")     #It opens the JSON file
+    jsonFile.write(json.dumps(data2, indent=True))                                           #It writes the updated data to the JSON file 
+    jsonFile.close()                                                                        #It closes the file
+    #================================ Calling the ExcelOutput object, outputs the outcomes of the statistical analysis in xls files =============================================#
+    C=Output()
+    C.PrintStatisticalMeasures(ProcTime,'ProcTime_StatResults.xls')   
+    C.PrintStatisticalMeasures(MTTR,'MTTR_StatResults.xls')
+    C.PrintStatisticalMeasures(MTTF,'MTTF_StatResults.xls')   
+    C.PrintDistributionFit(ProcTime,'ProcTime_DistFitResults.xls')
+    C.PrintDistributionFit(MTTR,'MTTR_DistFitResults.xls')
+    
+    #================================ Call ManPy and run the simulation model =============================================#
+    #calls ManPy main script with the input
+    simulationOutput=ManPyMain.main(input_data=json.dumps(data))
+    # save the simulation output
+    jsonFile = open('ManPyOutput.json',"w")     #It opens the JSON file
+    jsonFile.write(simulationOutput)           #It writes the updated data to the JSON file 
+    jsonFile.close()                         #It closes the file
+    
+if __name__ == '__main__':
+    main()
\ No newline at end of file