get_marks.py

import aiohttp
import pandas as pd
from io import StringIO

from constants.constants import vtop_doMarks_view_url
from utils.payloads import get_doMarks_view_payload


async def _get_doMarks_view_page(
    sess: aiohttp.ClientSession, username: str, semID: str, csrf: str
) -> str:
    async with sess.post(
        vtop_doMarks_view_url, data=get_doMarks_view_payload(username, semID, csrf)
    ) as req:
        return await req.text()


def _parse_marks(marks_page):
    try:
        tables = pd.read_html(StringIO(marks_page))
    except ValueError:
        return {}

    course_details = tables[0].iloc[1::2, :]
    marks_data = {}

    for i in range(course_details.shape[0]):
        course = course_details.iloc[i]
        marks_data[course[1]] = {
            "courseName": course[3],
            "courseType": course[4],
            "professor": course[6],
            "courseSlot": course[7],
            "marks": {},
        }

        current_course_table = tables[i + 1]
        for j in range(1, current_course_table.shape[0]):
            entry = current_course_table.iloc[j]
            marks_data[course[1]]["marks"][entry[1]] = {
                "maxMarks": entry[2],
                "maxWeightageMarks": entry[3],
                "scoredMarks": entry[5],
                "scoredWeightageMarks": entry[6],
            }

    return marks_data


async def get_marks_data(
    sess: aiohttp.ClientSession, username: str, semID: str, csrf: str
):
    return _parse_marks(await _get_doMarks_view_page(sess, username, semID, csrf))