from glob import glob
import pandas as pd
from huggingface_hub import snapshot_download
import json
from tqdm.auto import tqdm
import os
import traceback
from functions import pr_already_exists, commit


QUEUE_REPO = "eduagarcia-temp/llm_pt_leaderboard_requests"
EVAL_REQUESTS_PATH = "./eval-queue/"

def run_pr_worker():
    snapshot_download(repo_id=QUEUE_REPO, local_dir=EVAL_REQUESTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30)
    for filepath in glob(os.path.join(EVAL_REQUESTS_PATH, '**/*.json'), recursive=True):
        with open(filepath, 'r') as f:
            model_data = json.load(f)
        if model_data['status'] != 'FINISHED':
            continue
        if 'main_language' not in model_data:
            continue
        if model_data['main_language'] != "Portuguese":
            continue
        if model_data['result_metrics_average'] < 0.25:
            continue
        if 'ptpt' in model_data['model']:
            continue
        try:
            if not pr_already_exists(model_data['model']):
                print(f"Opening PR for {model_data['model']}")
                commit(model_data['model'], check_if_pr_exists=True)
        except Exception as e:
            traceback.print_exc()
            print(f"Error on {model_data['model']}: {str(e)}")


if __name__ == "__main__":
    run_pr_worker()