from PIL import Image
from tensorflow import keras
import sys
import io

sys.path.append("./../app")
import model

model_instance: keras.Model = model.create_model()


def template(filename: str) -> (int, int, Image.Image):
    image: Image.Image = Image.open(filename)
    width: int
    height: int
    width, height = image.size
    image_bytes: io.BytesIO = io.BytesIO()
    image.save(image_bytes, format=image.format)
    output_image: Image.Image = model.run_model(image_bytes, model_instance)
    return width, height, output_image


def test_image_jpg():
    width: int
    height: int
    output_image: Image.Image
    width, height, output_image = template("test_images/test1.jpg")

    assert width == output_image.size[0]
    assert height == output_image.size[1]


def test_image_png():
    width: int
    height: int
    output_image: Image.Image
    width, height, output_image = template("test_images/test2.png")

    assert width == output_image.size[0]
    assert height == output_image.size[1]


def test_image_jpeg():
    width: int
    height: int
    output_image: Image.Image
    width, height, output_image = template("test_images/test3.jpeg")

    assert width == output_image.size[0]
    assert height == output_image.size[1]