app.py

# app.py

import gradio as gr
import pandas as pd
from apscheduler.schedulers.background import BackgroundScheduler
from gradio_leaderboard import Leaderboard, SelectColumns
from huggingface_hub import whoami

from src.about import CITATION_BUTTON_LABEL, CITATION_BUTTON_TEXT, EVALUATION_QUEUE_TEXT, WHAT_IS_F1_HTML
from src.datamodel.data import F1Data
from src.display.css_html_js import custom_css
from src.display.formatting import styled_error
from src.display.utils import AutoEvalColumn, ModelType, fields
from src.envs import API, CODE_PROBLEMS_REPO, REPO_ID, RESULTS_REPO, SUBMISSIONS_REPO
from src.logger import get_logger
from src.populate import get_leaderboard_df
from src.submission.submit import add_new_solutions, fetch_user_info
from src.validation.validate import MAX_INPUT_LENGTH, MIN_INPUT_LENGTH, is_submission_file_valid, is_valid

logger = get_logger(__name__)

ENSURE_ALL_PRESENT = False  # TODO: Switch to True.
SPLIT = "warmup"  # TODO temp

lbdb = F1Data(
    cp_ds_name=CODE_PROBLEMS_REPO,
    sub_ds_name=SUBMISSIONS_REPO,
    res_ds_name=RESULTS_REPO,
    split=SPLIT,
)

leaderboard_df = None

logger.info("Initialized LBDB")


def restart_space():
    logger.info("Restarting space")
    API.restart_space(repo_id=REPO_ID)


def refresh_leaderboard_data():
    """Refresh the leaderboard data from the latest results"""
    global leaderboard_df
    try:
        logger.info("Loading leaderboard data...")
        new_leaderboard_df = get_leaderboard_df(RESULTS_REPO)

        if new_leaderboard_df is not None:
            logger.info("Leaderboard data refreshed successfully")
            leaderboard_df = new_leaderboard_df
        else:
            logger.warning("No new leaderboard data found")
            return None
    except Exception as e:
        logger.error(f"Error refreshing leaderboard data: {e}")
        return None


def init_leaderboard(dataframe: pd.DataFrame):

    if dataframe is None:
        raise ValueError("Leaderboard DataFrame is None.")

    lb = Leaderboard(
        value=dataframe,
        datatype=[c.type for c in fields(AutoEvalColumn)],
        select_columns=SelectColumns(
            default_selection=[c.name for c in fields(AutoEvalColumn) if c.displayed_by_default],
            cant_deselect=[c.name for c in fields(AutoEvalColumn) if c.never_hidden],
            label="Select Columns to Display:",
        ),
        search_columns=[AutoEvalColumn.system.name, AutoEvalColumn.organization.name],
        hide_columns=[c.name for c in fields(AutoEvalColumn) if c.hidden],
        bool_checkboxgroup_label="Hide models",
        interactive=False,
    )
    lb.col_count = (1, "fixed")
    return lb


def add_solution_cbk(
    system_name: str,
    org: str,
    submission_path: str,
    profile: gr.OAuthProfile | None,
    oauth_token: gr.OAuthToken | None,
):
    logger.info("Fetching user details for submission")
    logger.info("PROFILE %s", profile)
    logger.info("TOKEN %s", oauth_token)

    if profile is None or oauth_token is None:
        return styled_error("Please sign in with Hugging Face before submitting.")

    # Display handle and display name (may change over time)
    logger.info(f"User handle: {profile.username}")
    display_name = profile.name or profile.username
    logger.info(f"Display name: {display_name}")

    # Stable account id
    user_info = fetch_user_info(oauth_token)
    logger.info("Logged in user info: %s", user_info)
    stable_id = user_info.get("id") if user_info else None
    logger.info(f"User stable ID: {stable_id}")

    if not stable_id:
        return styled_error("Could not retrieve your stable user ID. Please try signing in again.")
    user_id = stable_id

    if not profile.username:
        return styled_error("Could not retrieve username. Please try signing in again.")

    try:
        # Validating the submission file.
        if not submission_path:
            return styled_error("Please upload JSONL submission file.")

        if not is_submission_file_valid(
            submission_path,
            is_warmup_dataset=(SPLIT == "warmup"),
        ):
            return styled_error("Failed to read JSONL submission file. Please try again later.")

        # Validating all user-supplied arguments.
        sys_type = "default"  # Placeholder
        for val, val_name in [
            (system_name, "System name"),
            (org, "Organisation name"),
            # (sys_type, "System type"),
        ]:
            if len(val) == 0:
                return styled_error(f"Please fill in the '{val_name}' field.")

            if not is_valid(val):
                return styled_error(
                    f"{val_name} is invalid! Must only contain characters [a-zA-Z0-9], spaces, "
                    + "or the special characters '-' and '.', and be of length between "
                    + f"{MIN_INPUT_LENGTH} and {MAX_INPUT_LENGTH}."
                )
    except Exception:
        logger.warning("Failed to process user submission", exc_info=True)
        return styled_error("An error occurred. Please try again later.")  # Intentionally vague.

    return add_new_solutions(
        lbdb,
        profile.username,
        user_id,
        system_name,
        org,
        sys_type,  # Passing the placeholder
        submission_path,
        is_warmup_dataset=(SPLIT == "warmup"),
        ensure_all_present=ENSURE_ALL_PRESENT,
    )


def gate_submission(oauth_token: gr.OAuthToken | None):
    """
    @brief Toggles the visibility of the login box and submission panel based on the user's login status.
    """
    logger.info("GATE TOKEN %s", oauth_token)
    if oauth_token is None:
        logger.info("GATE: NO TOKEN")
        return gr.update(visible=True), gr.update(visible=False)
    try:
        whoami(oauth_token.token)
        logger.info("GATE: TOKEN IS VALID")
        return gr.update(visible=False), gr.update(visible=True)
    except Exception:
        logger.info("GATE: TOKEN HAS EXPIRED")
        return gr.update(visible=True), gr.update(visible=False)


def get_theme():
    # return gr.themes.Soft(
    #     primary_hue=gr.themes.colors.blue,
    #     secondary_hue=gr.themes.colors.sky,
    #     neutral_hue=gr.themes.colors.gray,
    # ).set(
    #     body_background_fill="#FFFFFF",
    #     panel_background_fill="#f3f4f6",
    # )
    return "light"


blocks = gr.Blocks(css=custom_css, theme=get_theme(), js="() => { document.body.classList.remove('dark') }")
with blocks:

    with gr.Tabs(elem_classes="tab-buttons") as tabs:
        with gr.TabItem("What is FormulaOne", id=0):
            gr.HTML(WHAT_IS_F1_HTML)

        with gr.TabItem("FormulaOne Leaderboard", elem_id="formulaone-leaderboard-tab-table", id=1):
            refresh_leaderboard_data()
            assert leaderboard_df is not None
            leaderboard_component = init_leaderboard(leaderboard_df)

        with gr.TabItem("Submit Solutions", elem_id="formulaone-submit-tab-table", id=2):
            logger.info("Tab submission")
            with gr.Column():
                with gr.Row():
                    gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")

            with gr.Row():
                gr.Markdown("# ✉️✨ Submit your solutions", elem_classes="markdown-text")

            login_box = gr.Group(visible=True)
            with login_box:
                gr.Markdown("Please sign in with Hugging Face to submit")
                gr.LoginButton()

            submit_panel = gr.Group(visible=False)
            with submit_panel:
                with gr.Row():
                    with gr.Column():
                        system_name_textbox = gr.Textbox(label=AutoEvalColumn.system.name)
                        org_textbox = gr.Textbox(label=AutoEvalColumn.organization.name)
                        submission_file = gr.File(label="JSONL solutions file", file_types=[".jsonl"])

                logger.info("Submit button")
                submit_button = gr.Button("Submit", variant="primary")
                submission_result = gr.Markdown()

                submit_button.click(
                    add_solution_cbk,
                    [
                        system_name_textbox,
                        org_textbox,
                        submission_file,
                    ],
                    submission_result,
                )

    with gr.Row():
        logger.info("Citation")
        with gr.Accordion(CITATION_BUTTON_LABEL, open=False):
            gr.Code(
                value=CITATION_BUTTON_TEXT.strip(),
                elem_id="citation-block",
            )

    blocks.load(lambda: leaderboard_df, inputs=[], outputs=[leaderboard_component])
    blocks.load(gate_submission, inputs=None, outputs=[login_box, submit_panel])


logger.info("Scheduler")
scheduler = BackgroundScheduler()
scheduler.add_job(restart_space, "interval", seconds=1800)
scheduler.add_job(refresh_leaderboard_data, "interval", seconds=120)
scheduler.start()
logger.info("Launch")
blocks.queue(default_concurrency_limit=40).launch()

logger.info("Done")