43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
from typing import Generator, Any
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from random import randint
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import pandas as pd
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from .exceptions import InvalidNameOrTypeHeaderException
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from ..students.models import Student
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def check_columns(df: pd.DataFrame) -> bool:
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headers = set(df.keys().values)
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columns = ['NAZWISKO','IMIE','INDEKS','PESEL','EMAIL']
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if len(headers - set(columns)) != 0:
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return False
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flag = True
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col_types = ['object', 'object', 'int', 'float64', 'object']
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for name, col_type in zip(columns, col_types):
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if not str(df.dtypes[name]).startswith(col_type):
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flag = False
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break
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return flag
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def parse_csv(file, mode) -> Generator[Student, Any, None]:
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df = pd.read_csv(file, mode)
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# if not check_columns(df):
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# raise InvalidNameOrTypeHeaderException
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students = (Student(last_name = dict(item.items())['NAZWISKO'],
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first_name = dict(item.items())['NAZWISKO'],
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index = dict(item.items())['INDEKS'],
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pesel = str(int(dict(item.items())['PESEL'])) if not pd.isna(dict(item.items())['PESEL']) else '',
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email = dict(item.items())['EMAIL'],
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mode=mode)
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for _, item in df.iterrows())
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return students
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