import csv
import os
import torch
import logging
import sys

import src.rl_minigrid.utils as utils


def create_folders_if_necessary(path):
    dirname = os.path.dirname(path)
    if not os.path.isdir(dirname):
        os.makedirs(dirname)


def get_storage_dir():
    #if "RL_STORAGE" in os.environ:
    #    return os.environ["RL_STORAGE"]
    #return "storage"
    current_directory = os.path.dirname(os.path.dirname(os.getcwd()))
    storage_dir = os.path.join(current_directory, r'storage')
    return storage_dir


def get_model_dir(model_name):
    return os.path.join(get_storage_dir(), model_name)


def get_status_path(model_dir):
    return os.path.join(model_dir, "status.pt")


def get_status(model_dir):
    path = get_status_path(model_dir)
    return torch.load(path)


def save_status(status, model_dir):
    path = get_status_path(model_dir)
    utils.create_folders_if_necessary(path)
    torch.save(status, path)


def get_vocab(model_dir):
    return get_status(model_dir)["vocab"]


def get_model_state(model_dir):
    return get_status(model_dir)["model_state"]


def get_txt_logger(model_dir):
    path = os.path.join(model_dir, "log.txt")
    utils.create_folders_if_necessary(path)

    logging.basicConfig(
        level=logging.INFO,
        format="%(message)s",
        handlers=[
            logging.FileHandler(filename=path),
            logging.StreamHandler(sys.stdout)
        ]
    )

    return logging.getLogger()


def get_csv_logger(model_dir):
    csv_path = os.path.join(model_dir, "log.csv")
    utils.create_folders_if_necessary(csv_path)
    csv_file = open(csv_path, "a")
    return csv_file, csv.writer(csv_file)
