import base64
import mimetypes

from io import BytesIO

from PIL import Image, ImageFile

import pydicom

try:
    from .pydicom_PIL import get_PIL_image
except:
    from pydicom_PIL import get_PIL_image

def image_as_base64(image_file):
    """
    :param `image_file` for the complete path of image.
    :param `format` is format for image, eg: `png` or `jpg`.
    """
    # if not os.path.isfile(image_file):
    #    return None

    encoded_string = ""
    # with open(image_file, 'rb') as img_f:
    #    encoded_string = base64.b64encode(img_f.read())
    encoded_string = base64.b64encode(image_file.file.read())
    mimetype, enc = mimetypes.guess_type(image_file.path)
    if "dicom" in mimetype:
        return "data:{};base64,{}".format(mimetype, encoded_string.decode("utf-8"))
    return "data:image/{};base64,{}".format(mimetype, encoded_string.decode("utf-8"))



def pil_dicom_image(source, exif_orientation=True, **options):
    """
    Try to open the source file directly using PIL, ignoring any errors.
    exif_orientation
        If EXIF orientation data is present, perform any required reorientation
        before passing the data along the processing pipeline.
    """
    # Use a BytesIO wrapper because if the source is an incomplete file like
    # object, PIL may have problems with it. For example, some image types
    # require tell and seek methods that are not present on all storage
    # File objects.
    #if not source:
    #    return
    #source = BytesIO(source.read())

    # open file with pydicom
    ds = pydicom.read_file(source)

    # return the image file
    return get_PIL_image(ds)

    #with Image.open(source) as image:
    #    # Fully load the image now to catch any problems with the image contents.
    #    try:
    #        ImageFile.LOAD_TRUNCATED_IMAGES = True
    #        image.load()
    #    finally:
    #        ImageFile.LOAD_TRUNCATED_IMAGES = False

    #if exif_orientation:
    #    image = utils.exif_orientation(image)



def show_PIL(dataset):
    """Display an image using the Python Imaging Library (PIL)"""
    im = get_PIL_image(dataset)
    im.show()