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"""
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NTRS-TopSenderAnalysis
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Created by:
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Emanuel Borges
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09.20.2023
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Very simple program that will read multiple CSV files and export a report based on LanID and other general information.
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To-Do: Method to QC for any parsing errors. There should be the same number of fields across all of the CSVs.;
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"""
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import csv, os, re
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if __name__ == '__main__':
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startDir = r"C:\Users\eborges\Documents\Cases\Northern Trust\20230919 - FileNetTopSenderAnalysis-Req"
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allToLanAddressesSet = set()
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regExPattern = '[A-Za-z]{2}[0-9]{2,3}@NTRS.COM'
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for (root,dirs,files) in os.walk(startDir):
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for fl in files:
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fileRowCount = 0
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eightyCharRowCount = 0
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nonEightyCharRowCount = 0
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charsOverEighty = False
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with open(os.path.join(root,fl),mode='r',encoding='ANSI') as csv_file:
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csv_reader = csv.DictReader(csv_file)
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for row in csv_reader:
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fileRowCount += 1
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if len(row['To']) == 80:
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eightyCharRowCount +=1
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else:
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nonEightyCharRowCount +=1
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if len(row['To']) > 80:
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charsOverEighty = True
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toValue = row['To']
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toValue = toValue.upper()
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if "@NTRS.COM" in toValue:
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ntrsLanAddressesList = re.findall(regExPattern, toValue)
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if ntrsLanAddressesList:
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for a in ntrsLanAddressesList:
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allToLanAddressesSet.add(a)
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print(f"{fl}|{fileRowCount}|{eightyCharRowCount}|{nonEightyCharRowCount}|{charsOverEighty}")
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csv_file.close()
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print(f"There are {len(allToLanAddressesSet)} unique LAN ID addresses.")
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outputFile = open(r"C:\Users\eborges\Documents\Cases\Northern Trust\ExtractedLanAddresses.txt",'w')
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allToLanAddressesList = list(allToLanAddressesSet)
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allToLanAddressesList.sort()
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for i in allToLanAddressesList:
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outputFile.write(f"{i}\n")
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outputFile.close()
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## Initially gathering some very basic information across the CSV files, not using csv lib
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# for (root,dirs,files) in os.walk(r"C:\Users\eborges\Documents\Cases\Northern Trust"):
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# for fl in files:
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# contents = open(os.path.join(root,fl), encoding='ANSI').readlines()
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# print(f"{fl}|{len(contents)-1}") |
