import os
import pathlib
import shutil
import tempfile
from copy import deepcopy
from unittest.mock import patch
import ffmpy
import matplotlib.pyplot as plt
import numpy as np
import pytest
from PIL import Image
import gradio as gr
from gradio import media_data
os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
class TestImagePreprocessing:
def test_decode_base64_to_image(self):
output_image = gr.processing_utils.decode_base64_to_image(
deepcopy(media_data.BASE64_IMAGE)
)
assert isinstance(output_image, Image.Image)
def test_encode_url_or_file_to_base64(self):
output_base64 = gr.processing_utils.encode_url_or_file_to_base64(
"gradio/test_data/test_image.png"
)
assert output_base64 == deepcopy(media_data.BASE64_IMAGE)
def test_encode_file_to_base64(self):
output_base64 = gr.processing_utils.encode_file_to_base64(
"gradio/test_data/test_image.png"
)
assert output_base64 == deepcopy(media_data.BASE64_IMAGE)
def test_encode_url_to_base64(self):
output_base64 = gr.processing_utils.encode_url_to_base64(
"https://raw.githubusercontent.com/gradio-app/gradio/main/gradio/test_data/test_image.png"
)
assert output_base64 == deepcopy(media_data.BASE64_IMAGE)
def test_encode_plot_to_base64(self):
plt.plot([1, 2, 3, 4])
output_base64 = gr.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 = gr.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 = gr.processing_utils.encode_pil_to_base64(img)
assert output_base64 == deepcopy(media_data.ARRAY_TO_BASE64_IMAGE)
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 = gr.processing_utils.encode_pil_to_base64(input_img)
decoded_image = gr.processing_utils.decode_base64_to_image(encoded_image)
assert decoded_image.info == input_img.info
def test_resize_and_crop(self):
img = Image.open("gradio/test_data/test_image.png")
new_img = gr.processing_utils.resize_and_crop(img, (20, 20))
assert new_img.size == (20, 20)
with pytest.raises(ValueError):
gr.processing_utils.resize_and_crop(
**{"img": img, "size": (20, 20), "crop_type": "test"}
)
class TestAudioPreprocessing:
def test_audio_from_file(self):
audio = gr.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 = gr.processing_utils.audio_from_file("gradio/test_data/test_audio.wav")
gr.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_ = gr.processing_utils.convert_to_16_bit_wav(audio_)
assert np.allclose(audio, audio_)
assert audio_.dtype == "int16"
audio_ = audio.astype("float32")
audio_ = gr.processing_utils.convert_to_16_bit_wav(audio_)
assert np.allclose(audio, audio_)
assert audio_.dtype == "int16"
audio_ = gr.processing_utils.convert_to_16_bit_wav(audio)
assert np.allclose(audio, audio_)
assert audio_.dtype == "int16"
class TestOutputPreprocessing:
def test_decode_base64_to_binary(self):
binary = gr.processing_utils.decode_base64_to_binary(
deepcopy(media_data.BASE64_IMAGE)
)
assert deepcopy(media_data.BINARY_IMAGE) == binary
def test_decode_base64_to_file(self):
temp_file = gr.processing_utils.decode_base64_to_file(
deepcopy(media_data.BASE64_IMAGE)
)
assert isinstance(temp_file, tempfile._TemporaryFileWrapper)
def test_create_tmp_copy_of_file(self):
f = tempfile.NamedTemporaryFile(delete=False)
temp_file = gr.processing_utils.create_tmp_copy_of_file(f.name)
assert isinstance(temp_file, tempfile._TemporaryFileWrapper)
@patch("shutil.copy2")
def test_create_tmp_filenames(self, mock_copy2):
filepath = "C:/gradio/test_image.png"
file_obj = gr.processing_utils.create_tmp_copy_of_file(filepath)
assert "test_image" in file_obj.name
assert file_obj.name.endswith(".png")
filepath = "ABCabc123.csv"
file_obj = gr.processing_utils.create_tmp_copy_of_file(filepath)
assert "ABCabc123" in file_obj.name
assert file_obj.name.endswith(".csv")
filepath = "lion#1.jpeg"
file_obj = gr.processing_utils.create_tmp_copy_of_file(filepath)
assert "lion1" in file_obj.name
assert file_obj.name.endswith(".jpeg")
filepath = "%%lio|n#1.jpeg"
file_obj = gr.processing_utils.create_tmp_copy_of_file(filepath)
assert "lion1" in file_obj.name
assert file_obj.name.endswith(".jpeg")
filepath = "/home/lion--_1.txt"
file_obj = gr.processing_utils.create_tmp_copy_of_file(filepath)
assert "lion--_1" in file_obj.name
assert file_obj.name.endswith(".txt")
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 = gr.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 = gr.processing_utils._convert(x, np.floating)
assert y.dtype == x.dtype
class TestVideoProcessing:
def test_video_has_playable_codecs(self, test_file_dir):
assert gr.processing_utils.video_is_playable(
str(test_file_dir / "video_sample.mp4")
)
assert gr.processing_utils.video_is_playable(
str(test_file_dir / "video_sample.ogg")
)
assert gr.processing_utils.video_is_playable(
str(test_file_dir / "video_sample.webm")
)
assert not gr.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") as tmp_not_playable_vid:
shutil.copy(
str(test_file_dir / "bad_video_sample.mp4"),
tmp_not_playable_vid.name,
)
assert gr.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") as tmp_not_playable_vid:
shutil.copy(
str(test_file_dir / "bad_video_sample.mp4"), tmp_not_playable_vid.name
)
playable_vid = gr.processing_utils.convert_video_to_playable_mp4(
tmp_not_playable_vid.name
)
assert gr.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") as tmp_not_playable_vid:
shutil.copy(
str(test_file_dir / "bad_video_sample.mp4"), tmp_not_playable_vid.name
)
playable_vid = gr.processing_utils.convert_video_to_playable_mp4(
tmp_not_playable_vid.name
)
# If the conversion succeeded it'd be .mp4
assert pathlib.Path(playable_vid).suffix == ".avi"