def validate_request(self):
self._validate_operation()
self._validate_url()
self._validate_signature()
self._validate_client()
self._validate_host()
opts = self._get_save_options()
ops = self._get_operations()
if "resize" in ops:
Image.validate_dimensions(self.get_argument("w"), self.get_argument("h"))
opts.update(self._get_resize_options())
if "rotate" in ops:
Image.validate_degree(self.get_argument("deg"))
opts.update(self._get_rotate_options())
if "region" in ops:
Image.validate_rectangle(self.get_argument("rect"))
Image.validate_options(opts)
def main():
"""Generates expected results"""
cases = image_test.get_image_resize_cases()
for case in cases:
with open(case["source_path"], "rb") as f:
print("Generating {}".format(case["expected_path"]))
try:
img = Image(f).resize(case["width"], case["height"], mode=case["mode"],
background=case.get("background"), filter=case.get("filter"),
position=case.get("position"), retain=case.get("retain"))
except NotImplementedError as exc:
continue
rv = img.save(format=case.get("format"), optimize=case.get("optimize"), progressive=case.get("progressive"),
quality=case.get("quality"))
with open(case["expected_path"], "wb") as expected:
expected.write(rv.read())
cases = image_test.get_image_rotate_cases()
for case in cases:
with open(case["source_path"], "rb") as f:
print("Generating {}".format(case["expected_path"]))
img = Image(f).rotate(case["degree"], expand=case.get("expand"), filter=case.get("filter"))
rv = img.save(format=case.get("format"), optimize=case.get("optimize"), progressive=case.get("progressive"),
quality=case.get("quality"))
with open(case["expected_path"], "wb") as expected:
expected.write(rv.read())
cases = image_test.get_image_region_cases()
for case in cases:
with open(case["source_path"], "rb") as f:
print("Generating {}".format(case["expected_path"]))
img = Image(f).region(case["rect"].split(","))
rv = img.save(format=case.get("format"), optimize=case.get("optimize"), progressive=case.get("progressive"),
quality=case.get("quality"))
with open(case["expected_path"], "wb") as expected:
expected.write(rv.read())
cases = image_test.get_image_chained_cases()
for case in cases:
with open(case["source_path"], "rb") as f:
print("Generating {}".format(case["expected_path"]))
img = Image(f)
for operation in case["operation"]:
if operation == "resize":
img.resize(case["width"], case["height"])
elif operation == "rotate":
img.rotate(case["degree"])
elif operation == "region":
img.region(case["rect"].split(","))
rv = img.save()
with open(case["expected_path"], "wb") as expected:
expected.write(rv.read())
cases = image_test.get_image_exif_cases()
for case in cases:
with open(case["source_path"], "rb") as f:
print("Generating {}".format(case["expected_path"]))
img = Image(f).resize(case["width"], case["height"])
rv = img.save(preserve_exif=case['preserve_exif'])
with open(case["expected_path"], "wb") as expected:
expected.write(rv.read())