import json
import os
from datetime import datetime, timezone
import shutil

from src.display.formatting import styled_error, styled_message, styled_warning
from src.envs import API, EVAL_REQUESTS_PATH, TOKEN, QUEUE_REPO
from src.submission.check_validity import (
    already_submitted_models,
    check_model_card,
    get_model_size,
    is_model_on_hub,
)

REQUESTED_MODELS = None
USERS_TO_SUBMISSION_DATES = None

def add_new_eval(
    model_name: str,
    output_format: str,
    revision_name: str,
    upload_file,
    version: str,
):
    global REQUESTED_MODELS
    global USERS_TO_SUBMISSION_DATES
    if not REQUESTED_MODELS:
        REQUESTED_MODELS, USERS_TO_SUBMISSION_DATES = already_submitted_models(EVAL_REQUESTS_PATH)

    print(upload_file)
    print(version)
    

    # Does the model actually exist?
    if revision_name == "":
        revision_name = "main"

    folder_path = f"entry_{model_name}_{datetime.now()}"
    file_name = f"pred.json"
    current_time = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")

    path = f"{EVAL_REQUESTS_PATH}/{version}/{folder_path}/{file_name}"

    shutil.copy(upload_file, file_name)
    print("Uploading eval file")
    API.upload_file(
        path_or_fileobj=file_name,
        path_in_repo=path.split("eval-queue/")[1],
        repo_id=QUEUE_REPO,
        repo_type="dataset",
        commit_message=f"Add {model_name} pred to eval queue",
    )

    # Remove the local file
    os.remove(file_name)


    # Seems good, creating the eval
    print("Adding new eval")

    eval_entry = {
        "model": model_name,
        "revision": revision_name,
        "status": "PENDING",
        "submitted_time": current_time,
        "output_format": output_format,
        "submission_file": file_name,
        "private": False,
    }

    OUT_DIR = f"{EVAL_REQUESTS_PATH}/{version}/{folder_path}"
    os.makedirs(OUT_DIR, exist_ok=True)
    out_path = f"{OUT_DIR}/eval_request.json"

    with open(out_path, "w") as f:
        f.write(json.dumps(eval_entry))

    print("Uploading eval file")
    API.upload_file(
        path_or_fileobj=out_path,
        path_in_repo=out_path.split("eval-queue/")[1],
        repo_id=QUEUE_REPO,
        repo_type="dataset",
        commit_message=f"Add {model_name} to eval queue",
    )

    # Remove the local file
    os.remove(out_path)

    return styled_message(
        "Your request has been submitted to the evaluation queue!\nPlease wait for up to an hour for the model to show in the PENDING list."
    )