gradio / test /test_processing_utils.py
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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, ImageCms
from gradio import processing_utils, utils
class TestTempFileManagement:
def test_hash_file(self):
h1 = processing_utils.hash_file("gradio/test_data/cheetah1.jpg")
h2 = processing_utils.hash_file("gradio/test_data/cheetah1-copy.jpg")
h3 = processing_utils.hash_file("gradio/test_data/cheetah2.jpg")
assert h1 == h2
assert h1 != h3
def test_make_temp_copy_if_needed(self, gradio_temp_dir):
f = processing_utils.save_file_to_cache(
"gradio/test_data/cheetah1.jpg", cache_dir=gradio_temp_dir
)
try: # Delete if already exists from before this test
os.remove(f)
except OSError:
pass
f = processing_utils.save_file_to_cache(
"gradio/test_data/cheetah1.jpg", cache_dir=gradio_temp_dir
)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
assert Path(f).name == "cheetah1.jpg"
f = processing_utils.save_file_to_cache(
"gradio/test_data/cheetah1.jpg", cache_dir=gradio_temp_dir
)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
f = processing_utils.save_file_to_cache(
"gradio/test_data/cheetah1-copy.jpg", cache_dir=gradio_temp_dir
)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 2
assert Path(f).name == "cheetah1-copy.jpg"
def test_save_b64_to_cache(self, gradio_temp_dir):
base64_file_1 = media_data.BASE64_IMAGE
base64_file_2 = media_data.BASE64_AUDIO["data"]
f = processing_utils.save_base64_to_cache(
base64_file_1, cache_dir=gradio_temp_dir
)
try: # Delete if already exists from before this test
os.remove(f)
except OSError:
pass
f = processing_utils.save_base64_to_cache(
base64_file_1, cache_dir=gradio_temp_dir
)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
f = processing_utils.save_base64_to_cache(
base64_file_1, cache_dir=gradio_temp_dir
)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
f = processing_utils.save_base64_to_cache(
base64_file_2, cache_dir=gradio_temp_dir
)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 2
@pytest.mark.flaky
def test_save_url_to_cache(self, gradio_temp_dir):
url1 = "https://raw.githubusercontent.com/gradio-app/gradio/main/gradio/test_data/test_image.png"
url2 = "https://raw.githubusercontent.com/gradio-app/gradio/main/gradio/test_data/cheetah1.jpg"
f = processing_utils.save_url_to_cache(url1, cache_dir=gradio_temp_dir)
try: # Delete if already exists from before this test
os.remove(f)
except OSError:
pass
f = processing_utils.save_url_to_cache(url1, cache_dir=gradio_temp_dir)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
f = processing_utils.save_url_to_cache(url1, cache_dir=gradio_temp_dir)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
f = processing_utils.save_url_to_cache(url2, cache_dir=gradio_temp_dir)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 2
def test_save_url_to_cache_with_spaces(self, gradio_temp_dir):
url = "https://huggingface.co/datasets/freddyaboulton/gradio-reviews/resolve/main00015-20230906102032-7778-Wonderwoman VintageMagStyle _lora_SDXL-VintageMagStyle-Lora_1_, Very detailed, clean, high quality, sharp image.jpg"
processing_utils.save_url_to_cache(url, cache_dir=gradio_temp_dir)
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
class TestImagePreprocessing:
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, gradio_temp_dir):
input_img = Image.open("gradio/test_data/test_image.png")
input_img = input_img.convert("RGB")
input_img.info = {"key1": "value1", "key2": "value2"}
input_img.save(gradio_temp_dir / "test_test_image.png")
file_obj = processing_utils.save_pil_to_cache(
input_img, cache_dir=gradio_temp_dir
)
output_img = Image.open(file_obj)
assert output_img.info == input_img.info
def test_np_pil_encode_to_the_same(self, gradio_temp_dir):
arr = np.random.randint(0, 255, size=(100, 100, 3), dtype=np.uint8)
pil = Image.fromarray(arr)
assert processing_utils.save_pil_to_cache(
pil, cache_dir=gradio_temp_dir
) == processing_utils.save_img_array_to_cache(arr, cache_dir=gradio_temp_dir)
def test_encode_pil_to_temp_file_metadata_color_profile(self, gradio_temp_dir):
# Read image
img = Image.open("gradio/test_data/test_image.png")
img_metadata = Image.open("gradio/test_data/test_image.png")
img_metadata.info = {"key1": "value1", "key2": "value2"}
# Creating sRGB profile
profile = ImageCms.createProfile("sRGB")
profile2 = ImageCms.ImageCmsProfile(profile)
img.save(
gradio_temp_dir / "img_color_profile.png", icc_profile=profile2.tobytes()
)
img_cp1 = Image.open(str(gradio_temp_dir / "img_color_profile.png"))
# Creating XYZ profile
profile = ImageCms.createProfile("XYZ")
profile2 = ImageCms.ImageCmsProfile(profile)
img.save(
gradio_temp_dir / "img_color_profile_2.png", icc_profile=profile2.tobytes()
)
img_cp2 = Image.open(str(gradio_temp_dir / "img_color_profile_2.png"))
img_path = processing_utils.save_pil_to_cache(img, cache_dir=gradio_temp_dir)
img_metadata_path = processing_utils.save_pil_to_cache(
img_metadata, cache_dir=gradio_temp_dir
)
img_cp1_path = processing_utils.save_pil_to_cache(
img_cp1, cache_dir=gradio_temp_dir
)
img_cp2_path = processing_utils.save_pil_to_cache(
img_cp2, cache_dir=gradio_temp_dir
)
assert len({img_path, img_metadata_path, img_cp1_path, img_cp2_path}) == 4
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 conversion 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
), 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
)
with patch("os.remove", wraps=os.remove) as mock_remove:
playable_vid = processing_utils.convert_video_to_playable_mp4(
tmp_not_playable_vid.name
)
# check tempfile got deleted
assert not Path(mock_remove.call_args[0][0]).exists()
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"