src/display/formatting.py

import os
from datetime import datetime, timezone

from huggingface_hub import HfApi
from huggingface_hub.hf_api import ModelInfo

from src.envs import RESULTS_REPO, QUEUE_REPO, RAW_RESULTS_REPO

API = HfApi()

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 make_requests_clickable_model(model_name, json_path=None):
    link = f"https://huggingface.co/{model_name}"

    #details_model_name = model_name.replace("/", "__")
    details_link = f"https://huggingface.co/datasets/{QUEUE_REPO}/tree/main"
    if '/' in model_name:
        details_link += f"/{model_name.split('/')[0]}"
    if json_path is not None:
        details_link = f"https://huggingface.co/datasets/{QUEUE_REPO}/blob/main/{json_path}"

    return model_hyperlink(link, model_name) + "  " + model_hyperlink(details_link, "📑")

def make_clickable_model(model_name, json_path=None, revision=None):
    link = f"https://huggingface.co/{model_name}"

    #details_model_name = model_name.replace("/", "__")
    if RAW_RESULTS_REPO is not None:
        details_link = f"https://huggingface.co/datasets/{RAW_RESULTS_REPO}/tree/main/{model_name}"
    else:
        details_link = f"https://huggingface.co/datasets/{RESULTS_REPO}/tree/main/{model_name}"
        if json_path is not None:
            details_link = f"https://huggingface.co/datasets/{RESULTS_REPO}/blob/main/{model_name}/{json_path}"

    if revision is not None and revision != "main":
        if len(revision) > 12:
            revision = revision[:7]
        model_name += f" (rev: {revision})"
    return model_hyperlink(link, model_name) + "  " + model_hyperlink(details_link, "📑")


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)