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

58 lines
1.9 KiB
Python

from typing import Generator, Any, List
from collections import defaultdict
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
def generate_csv(students: List[Student]) -> str:
headers = ['PESEL', 'INDEKS', 'IMIE', 'NAZWISKO', 'EMAIL', 'CDYD_KOD', 'PRZ_KOD', 'TZAJ_KOD', 'GR_NR', 'PRG_KOD']
data = [(student.pesel, student.index, student.first_name, student.last_name, student.email,
student.group.cdyd_kod, student.group.prz_kod, student.group.tzaj_kod, student.group.project_supervisor_id,
None) for student in students]
dataframe = defaultdict(list)
for row in data:
for idx, item in enumerate(row):
dataframe[headers[idx]].append(item)
df = pd.DataFrame(dataframe)
return df.to_csv(index=False)