Source code for derobertis_cv.models.grades.scale

from dataclasses import dataclass
from typing import Dict, Tuple




@dataclass
class GradingScaleModel:
    grade_ranges: Dict[str, Tuple[float, float]]

    def __post_init__(self):
        if len(self.grade_ranges) == 0:
            raise ValueError("no grade ranges provided")
        last_bot = 101
        for grade_name, (bot, top) in self.grade_ranges.items():
            if top != last_bot - 1:
                raise ValueError(
                    f"grade range for {grade_name} is not consecutive in {self}. "
                    f"({top} should be {last_bot} - 1)"
                )
            last_bot = bot
        if bot != 0:
            raise ValueError(f"lowest grade did not go to zero, instead went to {bot}")