import json
import os
from typing import List, List, Tuple, Any, Dict
from huggingface_hub import snapshot_download
from collections import defaultdict
import requests

from src.envs import EVAL_REQUESTS_PATH, QUEUE_REPO

def webhook_bot(msg: str):
    bot_url = os.environ.get("DISCORD_WEBHOOK_URL", "")
    if bot_url != "":
        requests.post(bot_url, json={"content": msg})

def read_all_pending_model(EVAL_REQUESTS_PATH: str) -> Dict[str, List[Tuple[Any, str]]]:
    depth = 1
    alls = defaultdict(list)
    for root, _, files in os.walk(EVAL_REQUESTS_PATH):
        current_depth = root.count(os.sep) - EVAL_REQUESTS_PATH.count(os.sep)
        if current_depth == depth:
            for file in files:
                if not file.endswith(".json"):
                    continue
                file_abs_path = os.path.join(root, file)
                with open(file_abs_path, "r") as f:
                    info = json.load(f)
                    alls[info['model']].append((info, file_abs_path))

    pendings = {}
    for k in alls.keys():
        is_pending = False
        for stat in alls[k]:
            info_dict = stat[0]
            if info_dict['status'] == "PENDING":
                is_pending = True
        if is_pending:
            pendings[k] = alls[k]
    return pendings

def watch_submit_queue():
    try:
        snapshot_download(
            repo_id=QUEUE_REPO,
            local_dir=EVAL_REQUESTS_PATH,
            repo_type="dataset",
            tqdm_class=None,
            etag_timeout=30,
        )
        
        alls = read_all_pending_model(EVAL_REQUESTS_PATH)
        pending_model = []
        for model_name in alls.keys():
            for request_row in alls[model_name]:
                info, filepath = request_row
                status = info["status"]
                model_name = info["model"]
                if status == "PENDING":
                    pending_model.append(model_name)
        pending_model = list(set(pending_model))
        pending_model_str = '\n'.join(pending_model)
        webhook_bot(f'Leaderboard model pending: {len(pending_model)}\n### Models\n{pending_model_str}')
    except Exception as e:
        print(f'Watch submit queue error: {e}')
        pass