import io
import logging
import random
import zipfile
from datetime import datetime
from pathlib import Path

import numpy as np
import requests
import torch
import tqdm


def download_and_extract_zip(url: str, destination_folder: Path) -> bool:
    print(f"downloading from {url}")
    response = requests.get(url, stream=True)
    if response.status_code == 200:
        total_size = int(response.headers.get("content-length", 0))
        progress_bar = tqdm.tqdm(total=total_size, unit="B", unit_scale=True)

        zip_file = io.BytesIO()
        for chunk in response.iter_content(chunk_size=1024):
            if chunk:
                zip_file.write(chunk)
                progress_bar.update(len(chunk))

        progress_bar.close()

        zip_file.seek(0)

        with zipfile.ZipFile(zip_file, "r") as zip_ref:
            zip_ref.extractall(destination_folder)
        return True
    else:
        return False


def set_seed(seed):
    """Set seed for reproducibility."""
    random.seed(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed_all(seed)


def init_logging():
    def custom_format(record):
        dt = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
        fnameline = f"{record.pathname}:{record.lineno}"
        message = f"{record.levelname} {dt} {fnameline[-15:]:>15} {record.msg}"
        return message

    logging.basicConfig(level=logging.INFO)

    for handler in logging.root.handlers[:]:
        logging.root.removeHandler(handler)

    formatter = logging.Formatter()
    formatter.format = custom_format
    console_handler = logging.StreamHandler()
    console_handler.setFormatter(formatter)
    logging.getLogger().addHandler(console_handler)


def format_big_number(num):
    suffixes = ["", "K", "M", "B", "T", "Q"]
    divisor = 1000.0

    for suffix in suffixes:
        if abs(num) < divisor:
            return f"{num:.0f}{suffix}"
        num /= divisor

    return num