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# -*- coding: utf-8 -*-
# thumbor imaging service
# https://github.com/thumbor/thumbor/wiki
# Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license
# Copyright (c) 2011 globo.com thumbor@googlegroups.com
import tempfile
from os.path import abspath, dirname, join
from preggy import expect
from tornado.testing import gen_test
from tests.base import TestCase
from tests.fixtures.transformer_test_data import (
FIT_IN_CROP_DATA,
TESTITEMS,
MockErrorSyncDetector,
MockSyncDetector,
TestData,
)
from thumbor.config import Config
from thumbor.context import Context, ServerParameters
from thumbor.importer import Importer
from thumbor.transformer import Transformer
class TransformerTestCase(TestCase):
@classmethod
def setUpClass(cls):
cls.root_folder = (
tempfile.TemporaryDirectory() # pylint: disable=consider-using-with
)
cls.root_path = cls.root_folder.name
cls.loader_path = abspath(
join(dirname(__file__), "../fixtures/images/")
)
cls.base_uri = "/image"
@classmethod
def tearDownClass(cls):
if cls.root_folder is not None:
cls.root_folder.cleanup()
def setUp(self):
super().setUp()
self.has_handled = False
def get_context(self):
cfg = Config(SECURITY_KEY="ACME-SEC")
cfg.LOADER = "thumbor.loaders.file_loader"
cfg.FILE_LOADER_ROOT_PATH = self.loader_path
cfg.STORAGE = "thumbor.storages.file_storage"
cfg.FILE_STORAGE_ROOT_PATH = self.root_path
importer = Importer(cfg)
importer.import_modules()
server = ServerParameters(
8889, "localhost", "thumbor.conf", None, "info", None
)
server.security_key = "ACME-SEC"
return Context(server, cfg, importer)
@gen_test
async def test_invalid_crop(self):
data = TestData(
source_width=800,
source_height=600,
target_width=800,
target_height=600,
halign="right",
valign="top",
focal_points=[],
crop_left=200,
crop_top=0,
crop_right=100,
crop_bottom=100,
)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
await trans.transform()
expect(engine.calls["crop"]).to_be_empty()
@staticmethod
def validate_resize(test_data):
expect(test_data).to_be_resized()
expect(test_data).to_be_cropped()
@gen_test
async def test_can_resize_images(self):
for item in TESTITEMS:
context = item.to_context()
trans = Transformer(context)
await trans.transform()
self.validate_resize(item)
@gen_test
async def test_can_resize_images_with_detectors(self):
for item in TESTITEMS:
context = item.to_context(detectors=[MockSyncDetector])
trans = Transformer(context)
await trans.transform()
self.validate_resize(item)
@gen_test
async def test_can_resize_images_with_detection_error(self):
test_data = TestData(
source_width=800,
source_height=600,
target_width=400,
target_height=150,
halign="center",
valign="middle",
focal_points=[],
crop_left=0,
crop_top=75,
crop_right=800,
crop_bottom=375,
)
context = test_data.to_context(
detectors=[MockErrorSyncDetector], ignore_detector_error=True
)
trans = Transformer(context)
await trans.transform()
self.validate_resize(test_data)
@gen_test
async def test_can_resize_images_with_detection_error_not_ignoring_it(
self,
):
test_data = TestData(
source_width=800,
source_height=600,
target_width=400,
target_height=150,
halign="center",
valign="middle",
focal_points=[],
crop_left=0,
crop_top=75,
crop_right=800,
crop_bottom=375,
)
context = test_data.to_context(
detectors=[MockErrorSyncDetector], ignore_detector_error=False
)
trans = Transformer(context)
with expect.error_to_happen(IOError, message="some-io-error"):
await trans.transform()
expect(test_data.engine.calls["resize"]).to_length(0)
@gen_test
async def test_can_fit_in(self):
for test_data, (width, height, should_resize) in FIT_IN_CROP_DATA:
context = test_data.to_context()
engine = context.modules.engine
trans = Transformer(context)
await trans.transform()
expect(engine.calls["crop"]).to_be_empty()
if should_resize:
expect(engine.calls["resize"]).to_length(1)
expect(engine.calls["resize"][0]["width"]).to_equal(width)
expect(engine.calls["resize"][0]["height"]).to_equal(height)
else:
expect(engine.calls["resize"]).to_be_empty()
@gen_test
async def test_can_transform_meta_with_orientation(self):
data = TestData(
source_width=800,
source_height=600,
target_width=100,
target_height=100,
halign="right",
valign="top",
focal_points=[],
crop_left=None,
crop_top=None,
crop_right=None,
crop_bottom=None,
meta=True,
)
ctx = data.to_context()
ctx.config.RESPECT_ORIENTATION = True
engine = ctx.modules.engine
trans = Transformer(ctx)
await trans.transform()
expect(engine.calls["reorientate"]).to_equal(1)
@gen_test
async def test_can_transform_with_flip(self):
data = TestData(
source_width=800,
source_height=600,
target_width=-800,
target_height=-600,
halign="right",
valign="top",
focal_points=[],
crop_left=None,
crop_top=None,
crop_right=None,
crop_bottom=None,
)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
await trans.transform()
expect(engine.calls["horizontal_flip"]).to_equal(1)
expect(engine.calls["vertical_flip"]).to_equal(1)
@gen_test
async def test_can_resize_with_stretch(self):
data = TestData(
source_width=800,
source_height=600,
target_width=800,
target_height=200,
halign="right",
valign="top",
focal_points=[],
crop_left=None,
crop_top=None,
crop_right=None,
crop_bottom=None,
stretch=True,
)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
await trans.transform()
expect(engine.calls["resize"]).to_equal(
[{"width": 800, "height": 200}]
)
expect(engine.calls["crop"]).to_be_empty()
@gen_test
async def test_can_extract_cover(self):
data = TestData(
source_width=800,
source_height=600,
target_width=-800,
target_height=-600,
halign="right",
valign="top",
focal_points=[],
crop_left=None,
crop_top=None,
crop_right=None,
crop_bottom=None,
)
ctx = data.to_context()
ctx.request.filters = "cover()"
ctx.request.image = "some.gif"
ctx.request.extension = "GIF"
ctx.request.engine.extension = ".gif"
ctx.config.USE_GIFSICLE_ENGINE = True
engine = ctx.modules.engine
trans = Transformer(ctx)
await trans.transform()
expect(engine.calls["cover"]).to_equal(1)
@gen_test
async def test_get_target_dimensions(self):
data = TestData(
source_width=800,
source_height=600,
target_width=600,
target_height=400,
halign="right",
valign="top",
focal_points=[],
crop_left=200,
crop_top=0,
crop_right=100,
crop_bottom=100,
)
ctx = data.to_context()
trans = Transformer(ctx)
dimensions = trans.get_target_dimensions()
expect(dimensions).to_equal((600, 400))
await trans.transform()
expect(dimensions).to_equal((600, 400))
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