from dataclasses import dataclass, make_dataclass
from enum import Enum

import pandas as pd

from src.about import Tasks


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


@dataclass(frozen=True)
class AutoEvalColumn:
    model = ColumnContent("model", "markdown", True, never_hidden=True)
    average = ColumnContent("average", "number", True)
    general = ColumnContent("general", "number", True)
    speaker = ColumnContent("speaker", "number", True)
    prosody = ColumnContent("prosody", "number", True)
    intelligibility = ColumnContent("intelligibility", "number", True)
    environment = ColumnContent("environment", "number", True)
    tags = ColumnContent("tags", "str", False)


## For the queue columns in the submission tab
@dataclass(frozen=True)
class EvalQueueColumn:  # Queue column
    model = ColumnContent("model", "markdown", True)
    status = ColumnContent("status", "str", True)


## All the model information that we might need
@dataclass
class ModelDetails:
    name: str
    display_name: str = ""
    symbol: str = ""  # emoji


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

EVAL_COLS = [c.name for c in fields(EvalQueueColumn)]
EVAL_TYPES = [c.type for c in fields(EvalQueueColumn)]

BENCHMARK_COLS = ["general", "speaker", "prosody", "intelligibility", "environment"]