import numpy as np
import pytest

from image_prediction.estimator.preprocessor.utils import images_to_batch_tensor
from image_prediction.extraction import extract_images_from_pdf


@pytest.mark.parametrize("extractor_type", ["mock"])
@pytest.mark.parametrize("batch_size", [1, 2, 4])
def test_image_extractor_mock(image_extractor, images):
    images_extracted, metadata = map(list, zip(*image_extractor(images)))
    assert images_extracted == images


@pytest.mark.parametrize("extractor_type", ["parsable_pdf"])
@pytest.mark.parametrize("batch_size", [128])
@pytest.mark.parametrize("input_size", [{"depth": 3, "width": 100, "height": 90}], indirect=["input_size"])
def test_parsable_pdf_image_extractor(image_extractor, pdf, images, metadata, input_size):
    images_extracted, metadata_extracted = map(list, extract_images_from_pdf(pdf, image_extractor))
    assert np.allclose(images_to_batch_tensor(images_extracted), images_to_batch_tensor(images))
    assert list(metadata_extracted) == metadata