gradio/test/test_processing_utils.py

import os
import shutil
import tempfile
from copy import deepcopy
from pathlib import Path
from unittest.mock import patch

import ffmpy
import numpy as np
import pytest
from gradio_client import media_data
from PIL import Image

from gradio import processing_utils, utils

os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"


class TestImagePreprocessing:
    def test_decode_base64_to_image(self):
        output_image = processing_utils.decode_base64_to_image(
            deepcopy(media_data.BASE64_IMAGE)
        )
        assert isinstance(output_image, Image.Image)

        b64_img_without_header = deepcopy(media_data.BASE64_IMAGE).split(",")[1]
        output_image_without_header = processing_utils.decode_base64_to_image(
            b64_img_without_header
        )

        assert output_image == output_image_without_header

    def test_encode_plot_to_base64(self):
        with utils.MatplotlibBackendMananger():
            import matplotlib.pyplot as plt

            plt.plot([1, 2, 3, 4])
            output_base64 = processing_utils.encode_plot_to_base64(plt)
        assert output_base64.startswith(
            "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAo"
        )

    def test_encode_array_to_base64(self):
        img = Image.open("gradio/test_data/test_image.png")
        img = img.convert("RGB")
        numpy_data = np.asarray(img, dtype=np.uint8)
        output_base64 = processing_utils.encode_array_to_base64(numpy_data)
        assert output_base64 == deepcopy(media_data.ARRAY_TO_BASE64_IMAGE)

    def test_encode_pil_to_base64(self):
        img = Image.open("gradio/test_data/test_image.png")
        img = img.convert("RGB")
        img.info = {}  # Strip metadata
        output_base64 = processing_utils.encode_pil_to_base64(img)
        assert output_base64 == deepcopy(media_data.ARRAY_TO_BASE64_IMAGE)

    def test_save_pil_to_file_keeps_pnginfo(self):
        input_img = Image.open("gradio/test_data/test_image.png")
        input_img = input_img.convert("RGB")
        input_img.info = {"key1": "value1", "key2": "value2"}

        file_obj = processing_utils.save_pil_to_file(input_img)
        output_img = Image.open(file_obj)

        assert output_img.info == input_img.info

    def test_encode_pil_to_base64_keeps_pnginfo(self):
        input_img = Image.open("gradio/test_data/test_image.png")
        input_img = input_img.convert("RGB")
        input_img.info = {"key1": "value1", "key2": "value2"}

        encoded_image = processing_utils.encode_pil_to_base64(input_img)
        decoded_image = processing_utils.decode_base64_to_image(encoded_image)

        assert decoded_image.info == input_img.info

    @patch("PIL.Image.Image.getexif", return_value={274: 3})
    @patch("PIL.ImageOps.exif_transpose")
    def test_base64_to_image_does_rotation(self, mock_rotate, mock_exif):
        input_img = Image.open("gradio/test_data/test_image.png")
        base64 = processing_utils.encode_pil_to_base64(input_img)
        processing_utils.decode_base64_to_image(base64)
        mock_rotate.assert_called_once()

    def test_resize_and_crop(self):
        img = Image.open("gradio/test_data/test_image.png")
        new_img = processing_utils.resize_and_crop(img, (20, 20))
        assert new_img.size == (20, 20)
        with pytest.raises(ValueError):
            processing_utils.resize_and_crop(
                **{"img": img, "size": (20, 20), "crop_type": "test"}
            )


class TestAudioPreprocessing:
    def test_audio_from_file(self):
        audio = processing_utils.audio_from_file("gradio/test_data/test_audio.wav")
        assert audio[0] == 22050
        assert isinstance(audio[1], np.ndarray)

    def test_audio_to_file(self):
        audio = processing_utils.audio_from_file("gradio/test_data/test_audio.wav")
        processing_utils.audio_to_file(audio[0], audio[1], "test_audio_to_file")
        assert os.path.exists("test_audio_to_file")
        os.remove("test_audio_to_file")

    def test_convert_to_16_bit_wav(self):
        # Generate a random audio sample and set the amplitude
        audio = np.random.randint(-100, 100, size=(100), dtype="int16")
        audio[0] = -32767
        audio[1] = 32766

        audio_ = audio.astype("float64")
        audio_ = processing_utils.convert_to_16_bit_wav(audio_)
        assert np.allclose(audio, audio_)
        assert audio_.dtype == "int16"

        audio_ = audio.astype("float32")
        audio_ = processing_utils.convert_to_16_bit_wav(audio_)
        assert np.allclose(audio, audio_)
        assert audio_.dtype == "int16"

        audio_ = processing_utils.convert_to_16_bit_wav(audio)
        assert np.allclose(audio, audio_)
        assert audio_.dtype == "int16"


class TestOutputPreprocessing:
    float_dtype_list = [
        float,
        float,
        np.double,
        np.single,
        np.float32,
        np.float64,
        "float32",
        "float64",
    ]

    def test_float_conversion_dtype(self):
        """Test any convertion from a float dtype to an other."""

        x = np.array([-1, 1])
        # Test all combinations of dtypes conversions
        dtype_combin = np.array(
            np.meshgrid(
                TestOutputPreprocessing.float_dtype_list,
                TestOutputPreprocessing.float_dtype_list,
            )
        ).T.reshape(-1, 2)

        for dtype_in, dtype_out in dtype_combin:
            x = x.astype(dtype_in)
            y = processing_utils._convert(x, dtype_out)
            assert y.dtype == np.dtype(dtype_out)

    def test_subclass_conversion(self):
        """Check subclass conversion behavior"""
        x = np.array([-1, 1])
        for dtype in TestOutputPreprocessing.float_dtype_list:
            x = x.astype(dtype)
            y = processing_utils._convert(x, np.floating)
            assert y.dtype == x.dtype


class TestVideoProcessing:
    def test_video_has_playable_codecs(self, test_file_dir):
        assert processing_utils.video_is_playable(
            str(test_file_dir / "video_sample.mp4")
        )
        assert processing_utils.video_is_playable(
            str(test_file_dir / "video_sample.ogg")
        )
        assert processing_utils.video_is_playable(
            str(test_file_dir / "video_sample.webm")
        )
        assert not processing_utils.video_is_playable(
            str(test_file_dir / "bad_video_sample.mp4")
        )

    def raise_ffmpy_runtime_exception(*args, **kwargs):
        raise ffmpy.FFRuntimeError("", "", "", "")

    @pytest.mark.parametrize(
        "exception_to_raise", [raise_ffmpy_runtime_exception, KeyError(), IndexError()]
    )
    def test_video_has_playable_codecs_catches_exceptions(
        self, exception_to_raise, test_file_dir
    ):
        with patch("ffmpy.FFprobe.run", side_effect=exception_to_raise):
            with tempfile.NamedTemporaryFile(
                suffix="out.avi", delete=False
            ) as tmp_not_playable_vid:
                shutil.copy(
                    str(test_file_dir / "bad_video_sample.mp4"),
                    tmp_not_playable_vid.name,
                )
                assert processing_utils.video_is_playable(tmp_not_playable_vid.name)

    def test_convert_video_to_playable_mp4(self, test_file_dir):
        with tempfile.NamedTemporaryFile(
            suffix="out.avi", delete=False
        ) as tmp_not_playable_vid:
            shutil.copy(
                str(test_file_dir / "bad_video_sample.mp4"), tmp_not_playable_vid.name
            )
            playable_vid = processing_utils.convert_video_to_playable_mp4(
                tmp_not_playable_vid.name
            )
            assert processing_utils.video_is_playable(playable_vid)

    @patch("ffmpy.FFmpeg.run", side_effect=raise_ffmpy_runtime_exception)
    def test_video_conversion_returns_original_video_if_fails(
        self, mock_run, test_file_dir
    ):
        with tempfile.NamedTemporaryFile(
            suffix="out.avi", delete=False
        ) as tmp_not_playable_vid:
            shutil.copy(
                str(test_file_dir / "bad_video_sample.mp4"), tmp_not_playable_vid.name
            )
            playable_vid = processing_utils.convert_video_to_playable_mp4(
                tmp_not_playable_vid.name
            )
            # If the conversion succeeded it'd be .mp4
            assert Path(playable_vid).suffix == ".avi"