import pathlib
from pathlib import Path
import tempfile
from typing import BinaryIO, Literal
import json
import pandas as pd

import gradio as gr
from datasets import load_dataset, Dataset
from huggingface_hub import upload_file, hf_hub_download
from gradio_leaderboard import ColumnFilter, Leaderboard, SelectColumns
from evaluation import evaluate_problem
from datetime import datetime
import os
from huggingface_hub import HfApi

from about import PROBLEM_TYPES, TOKEN, CACHE_PATH, API, submissions_repo, results_repo

def submit_boundary(
    problem_type: Literal["geometrical", "simple_to_build", "mhd_stable"],
    boundary_file: BinaryIO,
    user_state
) -> str:
    
    # profile: gr.OAuthProfile | None
    # user_state = profile.username
    
    # error handling
    # if profile.username is None:
    if user_state is None:
        raise gr.Error("You must submit your username to submit a file.")
    
    file_path = boundary_file.name

    if not file_path:
        raise gr.Error("Uploaded file object does not have a valid file path.")
    
    path_obj = pathlib.Path(file_path)
    timestamp = datetime.utcnow().isoformat()

    with (
        path_obj.open("rb") as f_in,
        tempfile.NamedTemporaryFile(delete=False, suffix=".json") as tmp_boundary,
    ):
        file_content = f_in.read()
        tmp_boundary.write(file_content)
        tmp_boundary_path = pathlib.Path(tmp_boundary.name)

        # write to dataset
        filename = f"{problem_type}/{timestamp.replace(':', '-')}_{problem_type}.json"
        record = {
            "submission_filename": filename,
            "submission_time": timestamp,
            "problem_type": problem_type,
            "boundary_json": file_content.decode("utf-8"),
            "evaluated": False,
            "user": user_state,
        }
        with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as tmp:
            json.dump(record, tmp, indent=2)
            tmp.flush()
            tmp_name = tmp.name

        API.upload_file(
            path_or_fileobj=tmp_name, 
            path_in_repo=filename,
            repo_id=submissions_repo,
            repo_type="dataset",
            commit_message=f"Add submission for {problem_type} at {timestamp}"
        )
        pathlib.Path(tmp_name).unlink()

    tmp_boundary_path.unlink()

    return "✅ Your submission has been received! Sit tight and your scores will appear on the leaderboard shortly.", filename