config/handling.py

import os
import pandas as pd
import json
from pathlib import Path
from openpyxl import workbook


current_file_path = Path(__file__).resolve()
project_root = current_file_path.parents[1]
assets_dir = Path(project_root) / 'asset'
database_dir = Path(project_root) / "data"
# datafile = pd.read_csv(database_dir / "database.csv")


def data_cleaning(datafile):
    df = datafile.rename(columns={"id": "level", "action_text": "feedback", "next_id": "next"})
    df2 = df[["level", "question_text", "options", "feedback", "next"]]
    df2 = df2.dropna(axis=1, how='all')
    df2 = df2.dropna(axis=0, how='any')

    return df2


def option_maker(df_to_option):

    # تبدیل به فرمت JSON
    json_data = {}
    for index, row in df_to_option.iterrows():
        level = row['level']
        option = row['options']
        feedback = row['feedback']
        next_id = row['next']

        if level not in json_data:
            json_data[level] = {}
        json_data[level][option] = {"feedback": feedback, "next": next_id}
    with open(Path(database_dir)/'option_data.json', 'w', encoding="utf-8") as json_file:
        json.dump(json_data, json_file, ensure_ascii=False, indent=4)


def quiz_maker(df_to_quiz):
    quiz_data = {}
    for index_q, row_q in df_to_quiz.iterrows():
        level_q = row_q['level']
        question_text = row_q['question_text']
        if level_q not in quiz_data:
            quiz_data[level_q] = {}
        quiz_data[level_q] = [question_text]
    with open(Path(database_dir)/'question_data.json', 'w', encoding="utf-8") as json_file:
        json.dump(quiz_data, json_file, ensure_ascii=False, indent=4)