Everything except simplified kripendorf working

src/main.py

@@ -10,12 +10,12 @@ def main():
 
     mainFolderPath,configFileMain,hashL, xlsxList = initialisation.main()
     levelListM,inputsSubListM, inputsDimListM, inputsInterDimensionalListM, kripSimplifiedListM=data_import.main(mainFolderPath,configFileMain, xlsxList)
-    outputDataframeMain, subDimConsistencyListMain, DimConsistencyListMain, DimWeightListMain,DimConsistencyListMain=data_processing.main(inputsSubListM, inputsDimListM)
+    outputDataframeMain, DimConsistencyListMain, DimWeightListMain=data_processing.main(inputsSubListM, inputsDimListM)
 
     from src.methods import report_generator # to make global variable work
     report_generator.main(mainFolderPath,configFileMain,len(xlsxList),levelListM,inputsSubListM, inputsDimListM,
                            inputsInterDimensionalListM, kripSimplifiedListM,outputDataframeMain, 
-                           subDimConsistencyListMain, DimConsistencyListMain,DimWeightListMain)
+                            DimConsistencyListMain,DimWeightListMain)
 
     logging.info("Program ended")
     logging.info("Program runtime: " + f"{(time.time() - start_time):.2f}" + " seconds")

src/methods/data_processing.py

@@ -16,7 +16,7 @@ def main(subInputList,dimInputList):
     #matrix = matrix_make(data)
     #print(ahp(matrix,RI[matrix.shape[0]]))
     subDimListWeights, subDimConsistencyList = process_list_to_usable(subInputList)
-    DimWeightList,DimConsistencyList,colList = process_dataframe_to_usable(dimInputList)
+    DimWeightList,colList = process_dataframe_to_usable(dimInputList)
 
     outputList = multiply_weights(subDimListWeights,DimWeightList)
     outputCalcWeights= convert_to_dataframe(outputList,colList)
@@ -25,9 +25,10 @@ def main(subInputList,dimInputList):
     outputConsistency = convert_to_dataframe(subDimConsistencyList,colList)
     #outputDimConsistency = convert_to_dataframe(DimConsistencyList,colList)
 
+
 
     logging.info("M - Data processing finished successfully")
-    return outputCalcWeights,outputSubDimweights,outputConsistency, DimWeightList,DimConsistencyList
+    return outputCalcWeights,outputConsistency, DimWeightList
 
 
 def process_list_to_usable(uncutList):
@@ -65,7 +66,7 @@ def process_dataframe_to_usable(uncutDataframe):
 
 
 
-    return workingListWeights, workingConsistencyIndexList, columnList
+    return workingListWeights, columnList
 
 def multiply_weights(sudDimWeights, dimWeights):
     finalList=[]

src/methods/report_generator.py

@@ -11,7 +11,7 @@
 ##############Main function##############
 def main(mFP,cFM,nList,levelListSM,weightListSM, dimensionListSM, 
          interDimensionalListSM, kripSimplifiedListSM, outputDataframeSM, 
-         subDimConsistencyListSM, DimConsistencyListSM,DimWeightListSM):
+         subDimConsistencyListSM,DimWeightListSM):
     logging.info("M - Report generation started")
     outFolderPath = check_output_folder(cFM.get("Settings", "outputFolder"),mFP) #check if output folder exists
     listDimension,combinedList=get_subsection(cFM) #get subsections and dimensions from config file
@@ -23,7 +23,7 @@ def main(mFP,cFM,nList,levelListSM,weightListSM, dimensionListSM,
     csv_dim_inputs_pre(dimensionListSM,sOF) #generates csv file with dimensions inputs
     csv_interdim_comparisions_input(interDimensionalListSM,sOF) #generates csv file with interdimensional comparisions
     csv_calculated_weights(outputDataframeSM,sOF,combinedList,DimWeightListSM,listDimension) #generates csv file with calculated weights
-
+    csv_consistency_indexes(subDimConsistencyListSM,sOF,listDimension) #generates csv file with consistency indexes
 
     logging.info("M - Report generation finished successfully")
     return None
@@ -102,27 +102,22 @@ def csv_kripke_simplified(kSL,sOF): #doesn't work
 
 def csv_calculated_weights(df,sOF,combL,DimWeightListSMFunc,listDimensionFunc):
     data = {}
-
-    # Loop through each array in the list and create a column name and add to the dictionary
     for i, array in enumerate(DimWeightListSMFunc):
-        column_name = 'col' + str(i + 1)  # Create a column name for the array
-        data[column_name] = array       # Add the array to the dictionary with its column name
-
-    # Create a pandas dataframe using the dictionary
+        column_name = 'col' + str(i + 1)  
+        data[column_name] = array       
     dfDimension = pd.DataFrame(data)
     dfDimension.index=listDimensionFunc
-
-
     df.index=combL
     dfDimension.columns=df.columns
-
-
     finalout = pd.concat([dfDimension,df],axis=0)
     outPath=os.path.join(sOF, "Calculated_weights.csv")
     finalout.to_csv(outPath, index=True)
     return None
 
-def csv_consistency_indexes():
+def csv_consistency_indexes(sDCL,sOF,listDimensionFunc):
+    sDCL.index=listDimensionFunc
+    outPath=os.path.join(sOF, "Consistency_indexes.csv")
+    sDCL.to_csv(outPath, index=True)
     return None