system-pri/backend/app/coordinator/utils.py

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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 = ['first_name', 'last_name', 'index', 'mode']
if len(headers - set(columns)) != 0:
return False
flag = True
col_types = ['object', 'object', 'int', 'int']
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(**dict(item.items(), mode=mode))
for _, item in df.iterrows())
return students