d120 / pyfeedback / 14319914219

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14319914219

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4-dash 
tan parser modification

9 of 10 new or added lines in 1 file covered. (90.0%)

2640 of 2965 relevant lines covered (89.04%)

0.89 hits per line

Source File
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96.15
/src/feedback/parser/tan.py
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from csv import reader, Sniffer
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2 
from typing import Dict, List
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import re
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4 









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def parse(csv: bytes) -> Dict[str, List[str]]:




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    data: Dict[str, List[str]] = {}




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    csvfile = csv.read().decode('utf-8')




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    dialect = Sniffer().sniff(csvfile[0:1024])




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    csvreader = reader(csvfile.split("\n")[1:], dialect)




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    data: Dict[str, List[str]] = {}




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    for row in csvreader:




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        if row == []:




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            break




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        tan = ''




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        # is this a TAN lecture?










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        if row[2] != '':




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            # short tan is in the third field










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            tan = row[2]




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        else:










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            # codewords are saved in the second field










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            tan = row[1]




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        pattern = r"\(\d{2}-\d{2}-.*\)"




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        dic = {




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            "&" : "&",










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            "ä" : "ä",










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            "Ä" : "Ä",










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            "ö" : "ö",










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            "Ö" : "Ö",










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            "ü" : "ü",










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            "Ü" : "Ü",










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            "ß" : "ß",










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        }










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        # remove suffix with modul number











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        row_0 = re.sub(pattern, "", row[0]).strip()




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        # replace html characters











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        for ch in dic.keys() :




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            if ch in row_0 :




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                row_0 = row_0.replace(ch, dic.get(ch))




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        if row_0 not in data:




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            data[row_0] = [tan]




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        else:











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            data[row_0].append(tan)




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    return data



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