a3 überarbeitet, Zeile 290 einlesen funktioniert, ohne try:, mehr regex
kevin
parent
fc34a84e3b
commit
dbb2f8044b
124
SL2/s2_a3.py
124
SL2/s2_a3.py
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@ -1,82 +1,82 @@
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import re
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import json
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import string
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text_file = open(r"Personen.txt", "r")
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data = text_file.readlines()
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file = open(r"Personen.txt", 'r')
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lines = file.readlines()
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del lines[0] #delete line "Name,Adresse,GebDatum,Telefon"
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arr = [None] * len(data)
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counter = 1
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text_file.close()
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personsData = [None] * len(lines)
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for line in data:
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try:
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data_array = re.split(",", line)
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name = data_array[0]
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name_array = re.split("\s",name)
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adresse1 = data_array[1]
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adresse2 = data_array[2]
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geburtsdatum = data_array[3]
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telefon = data_array[4]
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telefon = telefon.replace("\n", "")
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file.close()
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titel = re.search("^.*\.$",name_array[0])
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index = 0 #set index equals line
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for line in lines:
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lineData = re.split(",", line) #splits whole line into name, adresse, birthday, number
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nameData = re.split("\s", lineData[0]) #splits name area
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if titel != None:
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titel = titel.string
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if len(name_array) == 4:
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vorname = name_array[1]
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zweitname = name_array[2]
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nachname = name_array[3]
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#pre inzialiizing data
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title = None #could be null
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vname = ""
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secName = None #could be null
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name = ""
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bday = ""
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street = ""
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streetNumber = 0 #integer-format
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postal = 0 #integer-format
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city = ""
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phone = ""
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#Name-Extract
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if(re.fullmatch(".*\.$", nameData[0]) and len(nameData) > 2): #Ausnahmebehandlung für "Klaus-D. Baum" Zeile 290 bzw. Personen . im Vornamen | . = beliebiger char \.$ = Ende auf Punkt
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title = nameData[0]
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if(len(nameData) == 4): #Check für Zweitnamen
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vname = nameData[1]
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secName = nameData[2]
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name = nameData[3]
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else:
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vorname = name_array[1]
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nachname = name_array[2]
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zweitname = None
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vname = nameData[1]
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name = nameData[2]
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else:
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if len(name_array) == 3:
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vorname = name_array[0]
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zweitname = name_array[1]
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nachname = name_array[2]
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if(len(nameData) == 3): #Check für Zweitnamen
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vname = nameData[0]
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secName = nameData[1]
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name = nameData[2]
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else:
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vorname = name_array[0]
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nachname = name_array[1]
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zweitname = None
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vname = nameData[0]
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name = nameData[1]
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# adresse_array = re.split("\s", adresse)
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plz = re.findall("\d{5}", adresse2)
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hausnummer = re.findall(r"\b\d{1,4}\b", adresse1)
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strasse_chars = re.findall("\D",adresse1)
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strasse = ''.join(strasse_chars)
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strasse = strasse.replace("\"", "")
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ort_chars = re.findall("\D",adresse2)
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ort = ''.join(ort_chars)
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ort = ort.replace("\"", "")
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#Adresse-Extract
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street = re.search('[^\"\s\d]+', lineData[1]).group(0) # ^ = ignoriert Leerzeichen " und Zahlen
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streetNumber = re.search('(?<=\D)\d+', lineData[1]).group(0) #beginnt bei ersten Zahl
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postal = re.search('\d{5}', lineData[2]).group(0) #extrahiert die ersten fünf Zahlen
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city = re.search('[^\"\s\d]+', lineData[2]).group(0) #ignoriert " Leerzeichen und Zahlen
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#Birthday
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bdayData = re.split("-", lineData[3]) #split birthday data
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bday = bdayData[2]+"."+bdayData[1]+"."+bdayData[0] #compose data in right order
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geburtsdatum = re.findall("[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]", line)
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# telefon = re.findall("\d{6,20}", line)
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#Telefon
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phone = re.search('[^\n]+', lineData[4]).group(0) #just extract \n and keep format
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#json format einteilung
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person = {
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"Index" : counter,
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"Titel" : titel,
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"Vorname" : vorname,
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"Zweitname" : zweitname,
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"Nachname" : nachname,
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"Geburtsdatum" : geburtsdatum,
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"Strasse" : strasse,
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"Hausnummer" : hausnummer,
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"PLZ" : plz,
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"Wohnort" : ort,
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"Rufnummer" : telefon
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}
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'Index' : index,
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'Titel' : title,
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'Vorname' : vname,
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'Zweitname' : secName,
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'Nachname' : name,
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'Geburtstag' : bday,
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'Strasse' : street,
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'Hausnummer' : streetNumber,
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'PLZ' : postal,
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'Wohnort' : city,
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'Telefonnummer' : phone}
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personsData[index] = person
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arr[counter - 1] = person
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counter = counter + 1
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except:
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continue
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index += 1
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with open(r"PersonenNeu.json", "w") as f:
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json.dump(arr,f, indent=1, ensure_ascii=False)
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with open(r'PersonenNeu.json', 'w') as f:
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json.dump(personsData, f, indent=1, ensure_ascii=False)
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f.close()
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