src/display/utils.py

from dataclasses import dataclass, make_dataclass
from enum import Enum

import pandas as pd


def fields(raw_class):
    return [v for k, v in raw_class.__dict__.items() if k[:2] != "__" and k[-2:] != "__"]


# These classes are for user facing column names,
# to avoid having to change them all around the code
# when a modif is needed
@dataclass
class ColumnContent:
    name: str
    type: str
    displayed_by_default: bool
    hidden: bool = False
    never_hidden: bool = False


## Leaderboard columns
auto_eval_column_dict = []
# Init
auto_eval_column_dict.append(
    ["method_name", ColumnContent, ColumnContent("Method", "markdown", True, never_hidden=True)]
)
auto_eval_column_dict.append(["model_name", ColumnContent, ColumnContent("Base Model", "markdown", True)])
# Scores
auto_eval_column_dict.append(["score", ColumnContent, ColumnContent("Score", "number", True)])
auto_eval_column_dict.append(["full_pass_count", ColumnContent, ColumnContent("Repaired", "number", True)])
auto_eval_column_dict.append(["fast_pass_count", ColumnContent, ColumnContent("Repaired (Fast)", "number", False)])
auto_eval_column_dict.append(["with_hint", ColumnContent, ColumnContent("Hint", "str", True)])
auto_eval_column_dict.append(["attempts", ColumnContent, ColumnContent("Number of Attempts", "number", False)])
auto_eval_column_dict.append(
    ["full_pass_count_crash", ColumnContent, ColumnContent("Repaired (Crash)", "number", True)]
)
auto_eval_column_dict.append(
    ["full_pass_count_miscompilation", ColumnContent, ColumnContent("Repaired (Miscompilation)", "number", True)]
)
auto_eval_column_dict.append(["full_pass_count_hang", ColumnContent, ColumnContent("Repaired (Hang)", "number", True)])
auto_eval_column_dict.append(
    ["build_success_rate", ColumnContent, ColumnContent("Build Success Rate (%)", "number", False)]
)
auto_eval_column_dict.append(["mttr", ColumnContent, ColumnContent("MTTR (min)", "number", True)])
auto_eval_column_dict.append(["sample_count", ColumnContent, ColumnContent("Average Sample Count", "number", False)])

# We use make dataclass to dynamically fill the scores from Tasks
AutoEvalColumn = make_dataclass("AutoEvalColumn", auto_eval_column_dict, frozen=True)

# Column selection
COLS = [c.name for c in fields(AutoEvalColumn) if not c.hidden]