def is_equal_with_tolerance(image1, image2, tolerance=Var.current("tolerance")):
with allure.step("Comparing two images with tolerance: " + tolerance):
image1_path = Img.root_path() + "/Data/Images/" + image1
image2_path = Img.root_path() + "/reports/images/" + image2
result = imgcompare.is_equal(image1_path, image2_path, tolerance=tolerance)
allure.attach.file(image1_path, name=image1, attachment_type=allure.attachment_type.PNG)
allure.attach.file(image2_path, name=image2, attachment_type=allure.attachment_type.PNG)
if not result:
if Var.env("snap") == "1":
with allure.step("Copying the response file to the source file"):
Img.copy_image(image2_path, image1_path)
with allure.step("Attaching the diff image file"):
image_diff_percent = imgcompare.image_diff_percent(image1_path, image2_path)
allure.step("Difference Percentage for comparing images is" + image_diff_percent)
diff_img_name = "diff_" + image1 + image2 + ".png"
diff_img_path = Img.root_path() + "/reports/images/" + diff_img_name
diffimg.diff(image1_path, image2_path, delete_diff_file=False,
diff_img_file=diff_img_path, ignore_alpha=False)
allure.attach.file(diff_img_path, name=diff_img_name, attachment_type=allure.attachment_type.PNG)
assert (result is True), "Compared images are not equal even with tolerance"
def is_equal(image1, image2):
with allure.step("Comparing two images"):
try:
image1_path = Img.root_path() + "/Data/Images/" + image1 + ".png"
image2_path = Img.root_path() + "/reports/images/" + image2 + ".png"
result = imgcompare.is_equal(image1_path, image2_path)
allure.attach.file(image1_path, name=image1, attachment_type=allure.attachment_type.PNG)
allure.attach.file(image2_path, name=image2, attachment_type=allure.attachment_type.PNG)
except Exception as e:
allure.step("Exception happened while comparing the image: " + str(e))
result = False
if not result:
if Var.env("snap") == "1":
with allure.step("Copying the response file to the source file"):
Img.copy_image(image1_path, image2_path)
with allure.step("Attaching the diff image file"):
image_diff_percent = imgcompare.image_diff_percent(image1_path, image2_path)
allure.step("Difference Percentage for comparing images is" + str(image_diff_percent))
diff_img_name = "diff_" + image1 + image2 + ".png"
diff_img_path = Img.root_path() + "/reports/images/" + diff_img_name
diffimg.diff(image1_path, image2_path, delete_diff_file=False,
diff_img_file=diff_img_path, ignore_alpha=False)
allure.attach.file(diff_img_path, name=diff_img_name, attachment_type=allure.attachment_type.PNG)
assert (result is True), "Compared images are not equal"
def main():
args = get_parser().parse_args()
news = args.news
dir_path = args.dir
out_dir = pathlib.Path(args.output)
if not out_dir.exists():
out_dir.mkdir()
for i in sorted(glob.glob(f'{dir_path}/*.jpg')):
nm = pynayzr.NewsModel(news, image_path=i)
filename = os.path.splitext(os.path.basename(i))[0]
nm.save_all(out_dir.joinpath(filename))
images = sorted(glob.glob(f'{out_dir}/*_title.jpg'))
bottoms = sorted(glob.glob(f'{out_dir}/*_bottom.jpg'))
# Compare base
current = images[0]
current_i = 0
# Unique title, (start, end), duration
uniq = []
times = []
durations = []
# Static part's box
# NOTE: This will compare with "bottom", not title
if args.reference:
cp_box = args.reference
elif news in REFERENCE_BOX:
cp_box = REFERENCE_BOX[news]
else:
# XXX: Should warn user?
cp_box = (0, 0, 1, 1)
cp = Image.open(bottoms[0]).crop(cp_box)
# Couting for continuous frame
continuous = 0
# Compare the images
prev = current
for index, i in enumerate(images[1:]):
continuous += 1
if not imgcompare.is_equal(current, i, 12):
if continuous > args.threshold:
im = Image.open(bottoms[current_i + 1])
if imgcompare.is_equal(cp, im.crop(cp_box), 3):
uniq.append(prev)
times.append((get_frame_time(current), get_frame_time(i)))
durations.append(times[-1][1] - times[-1][0])
current = i
current_i = index
continuous = 0
prev = i
# Print the information
print(
len(images), len(uniq), f'mean: {statistics.mean(durations):.2f}, '
f'stdev: {statistics.stdev(durations):.2f}, '
f'median: {statistics.median(durations)}')
# Output
TIME_DURATION_SPACE = 100
w, h = Image.open(uniq[0]).size
w += TIME_DURATION_SPACE # Give some space for time
im = Image.new('RGB', (w, h * len(uniq)), '#FFFFFF')
for index, i in enumerate(uniq):
duration = ' ~ '.join(
[get_time(times[index][0]),
get_time(times[index][1] - 1)])
im.paste(Image.open(i), (0, h * index))
ImageDraw.Draw(im).text(
(w - (TIME_DURATION_SPACE - 10), h * index + 10), duration,
(0, 0, 0))
im.save('out.jpg')
def test_is_equal(self):
self.assertTrue(imgcompare.is_equal(JPG_CAT, JPG_CAT_SLIGHT_DIFF, 0.5))
self.assertFalse(imgcompare.is_equal(JPG_CAT, JPG_CAT_SLIGHT_DIFF,
0.2))
self.assertTrue(imgcompare.is_equal(JPG_BLACK, JPG_BLACK))
self.assertTrue(imgcompare.is_equal(JPG_BLACK, JPG_BLACK, 0.2))
def test_upgrade_10():
img = upgradeTex(layeredImage, 0)
imgClean = cleanImg(img.getFlattenLayers())
imgClean.save(f"{THISDIR}/data/out_10.png")
assert imgcompare.is_equal(imgClean, f"{THISDIR}/data/out_10_expected.png")