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"""
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VW_FlattenCsvHoldReport
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Created by:
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Emanuel Borges
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12.06.2024
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This simple program will take a VW hold report and flatten two fields, resulting in a report with many more rows.
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"""
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import csv, os
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if __name__ == '__main__':
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## Full path and file name for the file to be converted.
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csvHoldReport = r"C:\Users\eborges\OneDrive - Redgrave LLP\Documents\Cases\VW\2024-12-06 - CodingRequest\2024_10_1_15.21_eDCHold-All_StatusReport_CaseHoldsReport.csv"
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columnNamesToFlatten = ['Exchange locations','SharePoint locations']
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fileEncoding = 'UTF-16'
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csvDialect = 'excel'
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outputFilePath, outputFileName = os.path.split(csvHoldReport)
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outputFileName = f"{os.path.splitext(outputFileName)[0]}_CONVERTED{os.path.splitext(outputFileName)[-1]}"
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outputFileName = os.path.join(outputFilePath, outputFileName)
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#print(outputFileName)
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outputFile = open(outputFileName,'w')
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with open(csvHoldReport,mode='r',newline='',encoding=fileEncoding) as csv_file:
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csv_reader = csv.DictReader(csv_file, dialect=csvDialect)
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## Get the column headers
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fullHeaderList = csv_reader.fieldnames
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## Create a trimmed version that removes the fields we are going to flatten
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trimmedHeaderList = fullHeaderList.copy()
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for colName in columnNamesToFlatten:
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trimmedHeaderList.remove(colName)
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## itterate through the rows and flatten the selected fields, adding a full row for each flattened value.
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for row in csv_reader:
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for colName in columnNamesToFlatten:
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flattenedValues = row[colName]
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flattenedValues = flattenedValues.split(";")
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for flattenedValue in flattenedValues:
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pass
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#print(row['Hold name'])
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print(fullHeaderList)
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print(trimmedHeaderList)
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outputFile.close() |
