from typing import Generator, Any
from random import randint

import pandas as pd

from .exceptions import InvalidNameOrTypeHeaderException
from ..students.models import Student


def check_columns(df: pd.DataFrame) -> bool:
    headers = set(df.keys().values)
    columns = ['NAZWISKO', 'IMIE', 'INDEKS', 'PESEL', 'EMAIL']

    if len(headers - set(columns)) != 0:
        return False

    flag = True
    col_types = ['object', 'object', 'int', 'float64', 'object']

    for name, col_type in zip(columns, col_types):
        if not str(df.dtypes[name]).startswith(col_type):
            flag = False
            break

    return flag


def parse_csv(file, mode) -> Generator[Student, Any, None]:
    df = pd.read_csv(file)

    # if not check_columns(df):
    #     raise InvalidNameOrTypeHeaderException

    students = (Student(last_name=dict(item.items())['NAZWISKO'],
                        first_name=dict(item.items())['IMIE'],
                        index=dict(item.items())['INDEKS'],
                        pesel=str(int(dict(item.items())['PESEL'])) if not pd.isna(dict(item.items())['PESEL']) else None,
                        email=dict(item.items())['EMAIL'],
                        mode=mode)
                for _, item in df.iterrows())

    return students