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nino.borges |
765 |
"""
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EndoTableFieldNameSearch
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Created by:
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Emanuel Borges
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09.13.2021
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Very simple program that will read a pair of csv files and extract the table and field data which matches specific terms
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in the field or table name, along with other informaiton about that field and table.
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"""
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import os
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if __name__ == '__main__':
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nino.borges |
766 |
tableReportFileName = r"C:\Users\eborges\Documents\Cases\Endo\Temp\2021.09.10 Aspect Delivery - Multi Systems DB Tables and Fields Reports\SFA_db_info-tableonly.csv"
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fieldReportFileName = r"C:\Users\eborges\Documents\Cases\Endo\Temp\2021.09.10 Aspect Delivery - Multi Systems DB Tables and Fields Reports\SFA_db_info.csv"
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nino.borges |
765 |
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nino.borges |
766 |
outputFileName = r"C:\Users\eborges\Documents\Cases\Endo\Temp\2021.08.18 IQVIA - Navigator data dictionary\RedgraveAnalysis(SFA)2.csv"
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nino.borges |
765 |
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## List of terms to search in the table and field names
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interestingList = ["COMMENT", "NOTE"]
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fieldMatrix = {}
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tableMatrix = {}
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## First populate the tableMatrix
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contents = open(tableReportFileName).readlines()
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contents = contents[1:]
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for line in contents:
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line = line.replace("\n","")
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line = line.split("|")
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tableMatrix[line[0].upper()] = line[1]
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print("Total rows, excluding the headder row, for table list is %s"% len(tableMatrix.keys()))
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## Second populate the fieldMatrix
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contents = open(fieldReportFileName).readlines()
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contents = contents[1:]
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for line in contents:
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line = line.replace("\n","")
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line = line.split("|")
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fieldMatrix[(line[1].upper(),line[2].upper())] = (line[3], line[5],line[9])
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print("Total rows, excluding the headder row, for field list is %s"% len(fieldMatrix.keys()))
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tableFieldList = list(fieldMatrix.keys())
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finalList = []
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for term in interestingList:
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temp = [i for i in tableFieldList if term in str(i)]
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finalList += temp
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print("Total entries that match terms is %s"% len(finalList))
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## Now deduplicate the list
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test = {}
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for i in finalList:
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test[i] = 1
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print("Total Deduplicated entries that match terms is %s"% len(list(test.keys())))
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outputFile = open(outputFileName,'w')
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for tf in list(test.keys()):
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nl = outputFile.write("%s|%s|%s|%s|%s|%s\n"%(tf[0],tf[1],fieldMatrix[tf][2],tableMatrix[tf[0]],fieldMatrix[tf][0],fieldMatrix[tf][1]))
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outputFile.close() |
