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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"]
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