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test_cli.py
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test_cli.py
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import pytest
import os
from openl3.cli import positive_int, positive_float, get_file_list, parse_args,\
run, main
from argparse import ArgumentTypeError
from openl3.openl3_exceptions import OpenL3Error
import tempfile
import numpy as np
import shutil
try:
# python 3.4+ should use builtin unittest.mock not mock package
from unittest.mock import patch
except ImportError:
from mock import patch
TEST_DIR = os.path.dirname(__file__)
TEST_AUDIO_DIR = os.path.join(TEST_DIR, 'data', 'audio')
TEST_IMAGE_DIR = os.path.join(TEST_DIR, 'data', 'image')
# Test audio file paths
CHIRP_MONO_PATH = os.path.join(TEST_AUDIO_DIR, 'chirp_mono.wav')
CHIRP_STEREO_PATH = os.path.join(TEST_AUDIO_DIR, 'chirp_stereo.wav')
CHIRP_44K_PATH = os.path.join(TEST_AUDIO_DIR, 'chirp_44k.wav')
CHIRP_1S_PATH = os.path.join(TEST_AUDIO_DIR, 'chirp_1s.wav')
EMPTY_PATH = os.path.join(TEST_AUDIO_DIR, 'empty.wav')
SHORT_PATH = os.path.join(TEST_AUDIO_DIR, 'short.wav')
SILENCE_PATH = os.path.join(TEST_AUDIO_DIR, 'silence.wav')
# Test image file paths
DAISY_PATH = os.path.join(TEST_IMAGE_DIR, 'daisy.jpg')
BLANK_PATH = os.path.join(TEST_IMAGE_DIR, 'blank.png')
SMALL_PATH = os.path.join(TEST_IMAGE_DIR, 'smol.png')
BENTO_PATH = os.path.join(TEST_IMAGE_DIR, 'bento.mp4')
# Regression file paths
TEST_REG_DIR = os.path.join(TEST_DIR, 'data', 'regression')
REG_CHIRP_44K_PATH = os.path.join(TEST_REG_DIR, 'chirp_44k.npz')
REG_CHIRP_44K_LINEAR_PATH = os.path.join(TEST_REG_DIR, 'chirp_44k_linear.npz')
REG_DAISY_PATH = os.path.join(TEST_REG_DIR, 'daisy.npz')
REG_DAISY_LINEAR_PATH = os.path.join(TEST_REG_DIR, 'daisy_linear.npz')
REG_BENTO_AUDIO_PATH = os.path.join(TEST_REG_DIR, 'bento_audio.npz')
REG_BENTO_AUDIO_LINEAR_PATH = os.path.join(TEST_REG_DIR, 'bento_audio_linear.npz')
REG_BENTO_IMAGE_PATH = os.path.join(TEST_REG_DIR, 'bento_image.npz')
REG_BENTO_IMAGE_LINEAR_PATH = os.path.join(TEST_REG_DIR, 'bento_image_linear.npz')
def test_positive_float():
# test that returned value is float
f = positive_float(5)
assert f == 5.0
assert type(f) is float
# test it works for valid strings
f = positive_float('1.3')
assert f == 1.3
assert type(f) is float
# make sure error raised for all invalid values:
invalid = [-5, -1.0, None, 'hello']
for i in invalid:
pytest.raises(ArgumentTypeError, positive_float, i)
def test_positive_int():
# test that returned value is int
i = positive_int(5)
assert i == 5
assert type(i) is int
i = positive_int(5.0)
assert i == 5
assert type(i) is int
# test it works for valid strings
i = positive_int('1')
assert i == 1
assert type(i) is int
# make sure error raised for all invalid values:
invalid = [-5, -1.0, None, 'hello']
for i in invalid:
pytest.raises(ArgumentTypeError, positive_int, i)
def test_get_file_list():
# test for invalid input (must be iterable, e.g. list)
pytest.raises(ArgumentTypeError, get_file_list, CHIRP_44K_PATH)
# test for valid list of file paths
flist = get_file_list([CHIRP_44K_PATH, CHIRP_1S_PATH])
assert len(flist) == 2
assert flist[0] == CHIRP_44K_PATH and flist[1] == CHIRP_1S_PATH
# test for valid folder
flist = get_file_list([TEST_AUDIO_DIR])
assert len(flist) == 7
flist = sorted(flist)
assert flist[0] == CHIRP_1S_PATH
assert flist[1] == CHIRP_44K_PATH
assert flist[2] == CHIRP_MONO_PATH
assert flist[3] == CHIRP_STEREO_PATH
assert flist[4] == EMPTY_PATH
assert flist[5] == SHORT_PATH
assert flist[6] == SILENCE_PATH
# combine list of files and folders
flist = get_file_list([TEST_AUDIO_DIR, CHIRP_44K_PATH])
assert len(flist) == 8
# nonexistent path
pytest.raises(OpenL3Error, get_file_list, ['/fake/path/to/file'])
def test_parse_args():
# test for all the defaults
args = ['audio', CHIRP_44K_PATH]
args = parse_args(args)
assert args.modality == 'audio'
assert args.inputs == [CHIRP_44K_PATH]
assert args.output_dir is None
assert args.suffix is None
assert args.input_repr == 'mel256'
assert args.content_type == 'music'
assert args.audio_embedding_size == 6144
assert args.no_audio_centering is False
assert args.audio_hop_size == 0.1
assert args.image_embedding_size == 8192
assert args.quiet is False
# test when setting all values
args = ['video', BENTO_PATH, '-o', '/output/dir', '--suffix', 'suffix',
'--input-repr', 'linear', '--content-type', 'env',
'--audio-embedding-size', '512', '--no-audio-centering',
'--audio-hop-size', '0.5', '--image-embedding-size', '512',
'--quiet']
args = parse_args(args)
assert args.inputs == [BENTO_PATH]
assert args.output_dir == '/output/dir'
assert args.suffix == 'suffix'
assert args.input_repr == 'linear'
assert args.content_type == 'env'
assert args.audio_embedding_size == 512
assert args.no_audio_centering is True
assert args.audio_hop_size == 0.5
assert args.image_embedding_size == 512
assert args.quiet is True
def test_run(capsys):
# test invalid input
invalid = [None, 5, 1.0]
for i in invalid:
pytest.raises(OpenL3Error, run, i, i)
# test empty input folder
with pytest.raises(SystemExit) as pytest_wrapped_e:
tempdir = tempfile.mkdtemp()
run('audio', [tempdir])
# make sure it exited
assert pytest_wrapped_e.type == SystemExit
assert pytest_wrapped_e.value.code == -1
# make sure it printed a message
captured = capsys.readouterr()
expected_message = 'openl3: No files found in {}. Aborting.\n'.format(str([tempdir]))
assert captured.out == expected_message
# delete tempdir
if os.path.exists(tempdir):
os.rmdir(tempdir)
# test invalid modality
with pytest.raises(OpenL3Error) as pytest_wrapped_e:
tempdir = tempfile.mkdtemp()
run('invalid', CHIRP_44K_PATH, output_dir=tempdir)
# delete tempdir
if os.path.exists(tempdir):
os.rmdir(tempdir)
# test correct execution on test audio file (regression)
tempdir = tempfile.mkdtemp()
run('audio', CHIRP_44K_PATH, output_dir=tempdir, verbose=True)
# check output file created
audio_outfile = os.path.join(tempdir, 'chirp_44k.npz')
assert os.path.isfile(audio_outfile)
# test correct execution on test image file (regression)
run('image', DAISY_PATH, output_dir=tempdir, verbose=True)
# check output file created
image_outfile = os.path.join(tempdir, 'daisy.npz')
assert os.path.isfile(image_outfile)
# regression test
audio_data_reg = np.load(REG_CHIRP_44K_PATH)
audio_data_out = np.load(audio_outfile)
image_data_reg = np.load(REG_DAISY_PATH)
image_data_out = np.load(image_outfile)
assert sorted(audio_data_out.files) == sorted(audio_data_reg.files) == sorted(
['embedding', 'timestamps'])
assert np.allclose(audio_data_out['timestamps'], audio_data_reg['timestamps'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert np.allclose(audio_data_out['embedding'], audio_data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert sorted(image_data_out.files) == sorted(image_data_reg.files) == ['embedding']
assert np.allclose(image_data_out['embedding'], image_data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)
# SECOND regression test
run('audio', CHIRP_44K_PATH, output_dir=tempdir, suffix='linear', input_repr='linear',
content_type='env', audio_embedding_size=512, audio_center=False, audio_hop_size=0.5,
verbose=False)
# check output file created
audio_outfile = os.path.join(tempdir, 'chirp_44k_linear.npz')
assert os.path.isfile(audio_outfile)
run('image', DAISY_PATH, output_dir=tempdir, suffix='linear', input_repr='linear',
content_type='env', image_embedding_size=512, verbose=False)
# check output file created
image_outfile = os.path.join(tempdir, 'daisy_linear.npz')
assert os.path.isfile(image_outfile)
# regression test
audio_data_reg = np.load(REG_CHIRP_44K_LINEAR_PATH)
audio_data_out = np.load(audio_outfile)
image_data_reg = np.load(REG_DAISY_LINEAR_PATH)
image_data_out = np.load(image_outfile)
assert sorted(audio_data_out.files) == sorted(audio_data_reg.files) == sorted(
['embedding', 'timestamps'])
assert np.allclose(audio_data_out['timestamps'], audio_data_reg['timestamps'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert np.allclose(audio_data_out['embedding'], audio_data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert sorted(image_data_out.files) == sorted(image_data_reg.files) == ['embedding']
assert np.allclose(image_data_out['embedding'], image_data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)
## Video processing regression tests
run('video', BENTO_PATH, output_dir=tempdir, verbose=True)
# check output files created
audio_outfile = os.path.join(tempdir, 'bento_audio.npz')
assert os.path.isfile(audio_outfile)
image_outfile = os.path.join(tempdir, 'bento_image.npz')
assert os.path.isfile(image_outfile)
# regression test
audio_data_reg = np.load(REG_BENTO_AUDIO_PATH)
audio_data_out = np.load(audio_outfile)
image_data_reg = np.load(REG_BENTO_IMAGE_PATH)
image_data_out = np.load(image_outfile)
assert sorted(audio_data_out.files) == sorted(audio_data_reg.files) == sorted(
['embedding', 'timestamps'])
assert np.allclose(audio_data_out['timestamps'], audio_data_reg['timestamps'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert np.allclose(audio_data_out['embedding'], audio_data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert sorted(image_data_out.files) == sorted(image_data_reg.files) == sorted(
['embedding', 'timestamps'])
assert np.allclose(image_data_out['timestamps'], image_data_reg['timestamps'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert np.allclose(image_data_out['embedding'], image_data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)
# SECOND regression test
run('video', BENTO_PATH, output_dir=tempdir, suffix='linear', input_repr='linear',
content_type='env', audio_embedding_size=512, image_embedding_size=512,
audio_center=False, audio_hop_size=0.5, verbose=False)
# check output files created
audio_outfile = os.path.join(tempdir, 'bento_audio_linear.npz')
assert os.path.isfile(audio_outfile)
image_outfile = os.path.join(tempdir, 'bento_image_linear.npz')
assert os.path.isfile(image_outfile)
# regression test
audio_data_reg = np.load(REG_BENTO_AUDIO_LINEAR_PATH)
audio_data_out = np.load(audio_outfile)
image_data_reg = np.load(REG_BENTO_IMAGE_LINEAR_PATH)
image_data_out = np.load(image_outfile)
assert sorted(audio_data_out.files) == sorted(audio_data_reg.files) == sorted(
['embedding', 'timestamps'])
assert np.allclose(audio_data_out['timestamps'], audio_data_reg['timestamps'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert np.allclose(audio_data_out['embedding'], audio_data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert sorted(image_data_out.files) == sorted(image_data_reg.files) == sorted(
['embedding', 'timestamps'])
assert np.allclose(image_data_out['timestamps'], image_data_reg['timestamps'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert np.allclose(image_data_out['embedding'], image_data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)
# delete output file and temp folder
shutil.rmtree(tempdir)
def test_main():
# Duplicate audio regression test from test_run just to hit coverage
tempdir = tempfile.mkdtemp()
with patch('sys.argv', ['openl3', 'audio', CHIRP_44K_PATH, '--output-dir', tempdir]):
main()
# check output file created
outfile = os.path.join(tempdir, 'chirp_44k.npz')
assert os.path.isfile(outfile)
# regression test
data_reg = np.load(REG_CHIRP_44K_PATH)
data_out = np.load(outfile)
assert sorted(data_out.files) == sorted(data_out.files) == sorted(
['embedding', 'timestamps'])
assert np.allclose(data_out['timestamps'], data_reg['timestamps'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert np.allclose(data_out['embedding'], data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)
def test_script_main():
# Duplicate audio regression test from test_run just to hit coverage
tempdir = tempfile.mkdtemp()
with patch('sys.argv', ['openl3', 'audio', CHIRP_44K_PATH, '--output-dir', tempdir]):
import openl3.__main__
# check output file created
outfile = os.path.join(tempdir, 'chirp_44k.npz')
assert os.path.isfile(outfile)
# regression test
data_reg = np.load(REG_CHIRP_44K_PATH)
data_out = np.load(outfile)
assert sorted(data_out.files) == sorted(data_out.files) == sorted(
['embedding', 'timestamps'])
assert np.allclose(data_out['timestamps'], data_reg['timestamps'],
rtol=1e-05, atol=1e-05, equal_nan=False)
assert np.allclose(data_out['embedding'], data_reg['embedding'],
rtol=1e-05, atol=1e-05, equal_nan=False)