import os
import json
from src.envs import API, EVAL_REQUESTS_PATH, DYNAMIC_INFO_REPO, DYNAMIC_INFO_FILE_PATH, DYNAMIC_INFO_PATH, EVAL_RESULTS_PATH, H4_TOKEN, IS_PUBLIC, QUEUE_REPO, REPO_ID, RESULTS_REPO
from huggingface_hub import snapshot_download
from src.submission.submit import add_new_eval

snapshot_download(
    repo_id=QUEUE_REPO, local_dir=EVAL_REQUESTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30
)

with open('initial_queue.jsonl', 'r', encoding='utf-8') as outfile:
    for line in outfile:
        if not line.startswith('//'):
            data = json.loads(line)
            model_id = f'{data["model"]}_eval_request_False_{data["precision"]}_{data["weight_type"]}'
            model_path = os.path.join(EVAL_REQUESTS_PATH, model_id + '.json')
            if not os.path.exists(model_path):
                print(f"Adding new eval {model_id}")
                message = add_new_eval(
                    model=data["model"],
                    base_model=data["base_model"],
                    revision=data["revision"],
                    precision=data["precision"],
                    private=False,
                    weight_type=data["weight_type"],
                    model_type=data["model_type"]
                )
                print(message)