import os
import gradio as gr
from easygui import msgbox
import subprocess
import time
import webbrowser
from .custom_logging import setup_logging

# Set up logging
log = setup_logging()

tensorboard_proc = None
TENSORBOARD = 'tensorboard' if os.name == 'posix' else 'tensorboard.exe'

# Set the default tensorboard port
DEFAULT_TENSORBOARD_PORT = 6006

def start_tensorboard(headless, logging_dir, wait_time=5):
    global tensorboard_proc
    
    headless_bool = True if headless.get('label') == 'True' else False

    # Read the TENSORBOARD_PORT from the environment, or use the default
    tensorboard_port = os.environ.get('TENSORBOARD_PORT', DEFAULT_TENSORBOARD_PORT)
    
    # Check if logging directory exists and is not empty; if not, warn the user and exit
    if not os.path.exists(logging_dir) or not os.listdir(logging_dir):
        log.error('Error: logging folder does not exist or does not contain logs.')
        msgbox(msg='Error: logging folder does not exist or does not contain logs.')
        return  # Exit the function with an error code

    run_cmd = [
        TENSORBOARD,
        '--logdir',
        logging_dir,
        '--host',
        '0.0.0.0',
        '--port',
        str(tensorboard_port),
    ]

    log.info(run_cmd)
    if tensorboard_proc is not None:
        log.info(
            'Tensorboard is already running. Terminating existing process before starting new one...'
        )
        stop_tensorboard()

    # Start background process
    log.info('Starting TensorBoard on port {}'.format(tensorboard_port))
    try:
        tensorboard_proc = subprocess.Popen(run_cmd)
    except Exception as e:
        log.error('Failed to start Tensorboard:', e)
        return

    if not headless_bool:
        # Wait for some time to allow TensorBoard to start up
        time.sleep(wait_time)

        # Open the TensorBoard URL in the default browser
        tensorboard_url = f'http://localhost:{tensorboard_port}'
        log.info(f'Opening TensorBoard URL in browser: {tensorboard_url}')
        webbrowser.open(tensorboard_url)


def stop_tensorboard():
    global tensorboard_proc
    if tensorboard_proc is not None:
        log.info('Stopping tensorboard process...')
        try:
            tensorboard_proc.terminate()
            tensorboard_proc = None
            log.info('...process stopped')
        except Exception as e:
            log.error('Failed to stop Tensorboard:', e)
    else:
        log.warning('Tensorboard is not running...')


def gradio_tensorboard():
    with gr.Row():
        button_start_tensorboard = gr.Button('Start tensorboard')
        button_stop_tensorboard = gr.Button('Stop tensorboard')

    return (button_start_tensorboard, button_stop_tensorboard)