from dataclasses import dataclass, make_dataclass


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
# Init
auto_eval_column_dict = [
    ["eval_name", ColumnContent, ColumnContent("Eval Name", "str", True)],
    ["result_name", ColumnContent, ColumnContent("Result Name", "str", False)],
    ["date", ColumnContent, ColumnContent("Submission Date", "str", True)],
    ["miou", ColumnContent, ColumnContent("mIoU ⬆️", "number", True)],
    ["accuracy", ColumnContent, ColumnContent("Accuracy ⬆️", "number", False)],
    # ["precision_score", ColumnContent, ColumnContent("Precision ⬆️", "number", False)],
    # ["recall", ColumnContent, ColumnContent("Recall ⬆️", "number", False)],
    # ["f1", ColumnContent, ColumnContent("F1 ⬆️", "number", False)],
    # ["producer_accuracy", ColumnContent, ColumnContent("Producer Accuracy", "list", False)],
    # ["user_accuracy", ColumnContent, ColumnContent("User Accuracy", "list", False)],
    # ["confusion_matrix", ColumnContent, ColumnContent("Confusion Matrix", "matrix", False)],
    # ["num_classes", ColumnContent, ColumnContent("Number of classes", "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]