src/display/formatting.py

def make_clickable_model(model_name, link=None):
    if link:
        return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline; text-decoration-style: dotted;">{model_name}</a>'
    return model_name


def format_score(value, decimals=2):
    if value is None:
        return "--"
    return f"{value:.{decimals}f}"


def format_percentage(value, decimals=1, colored=True, inverted=False):
    if value is None:
        return "--"
    pct = f"{value:.{decimals}f}%"
    if not colored:
        return pct
    if inverted:
        # lower is better (e.g. Bias, Hallucination)
        if value <= 5:
            color = "#4ade80"
        elif value <= 15:
            color = "#fbbf24"
        else:
            color = "#f87171"
    else:
        if value >= 75:
            color = "#4ade80"
        elif value >= 60:
            color = "#fbbf24"
        else:
            color = "#f87171"
    return f'<span style="color:{color};font-weight:600;">{pct}</span>'


def format_overall(value, decimals=1):
    if value is None:
        return "--"
    pct = f"{value:.{decimals}f}%"
    return f'<span class="overall-score">{pct}</span>'


def format_type_badge(type_str):
    if type_str == "Open":
        return '<span class="badge badge-open">Open</span>'
    elif type_str == "Closed":
        return '<span class="badge badge-closed">Closed</span>'
    return type_str


# retained for backward compatibility with src/submission and src/populate
def model_hyperlink(link, model_name):
    return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{model_name}</a>'


def styled_error(error):
    return f"<p style='color: red; font-size: 20px; text-align: center;'>{error}</p>"


def styled_warning(warn):
    return f"<p style='color: orange; font-size: 20px; text-align: center;'>{warn}</p>"


def styled_message(message):
    return f"<p style='color: green; font-size: 20px; text-align: center;'>{message}</p>"


def has_no_nan_values(df, columns):
    return df[columns].notna().all(axis=1)


def has_nan_values(df, columns):
    return df[columns].isna().any(axis=1)