def test_process(self):
processor = climage.processor.Processor(self.config, open(IMAGE))
processed = processor.process()
self.assertEquals(processor.info['width'], 1000)
self.assertEquals(processor.info['height'], 750)
self.assertEquals(len(processed),
len(self.config['climage']['processor']['sizes']))
def test_convert(self):
image = PIL.Image.open(open(IMAGE))
output = StringIO.StringIO()
image = image.convert(mode='LA')
image.save(output, 'PNG')
image = output.getvalue()
processor = climage.processor.Processor(self.config, image)
processed = processor.process()
image = PIL.Image.open(StringIO.StringIO(processed['50x50c']))
self.assertEquals(image.mode, 'RGB')
def test_convert(self):
image = PIL.Image.open(open(IMAGE))
output = StringIO.StringIO()
image = image.convert(mode="LA")
image.save(output, "PNG")
image = output.getvalue()
processor = climage.processor.Processor(self.config, image)
processed = processor.process()
image = PIL.Image.open(StringIO.StringIO(processed["50x50c"]))
self.assertEquals(image.mode, "RGB")
def test_save_blob(self):
processor = climage.processor.Processor(self.config, open(IMAGE))
images = processor.process()
self.assertTrue("blob_info_name" in processor.info)
self.assertTrue("blob_names" in processor.info)
client = clblob.client.Client(self.config)
info = processor.info.copy()
info.pop("blob_info_name")
info.pop("blob_names")
self.assertEquals(info, json.loads(client.get(processor.info["blob_info_name"]).read()))
for size in images:
self.assertEquals(images[size], client.get(processor.info["blob_names"][size]).read())
def test_save_blob(self):
processor = climage.processor.Processor(self.config, open(IMAGE))
images = processor.process()
self.assertTrue('blob_info_name' in processor.info)
self.assertTrue('blob_names' in processor.info)
client = clblob.client.Client(self.config)
info = processor.info.copy()
info.pop('blob_info_name')
info.pop('blob_names')
self.assertEquals(
info,
json.loads(client.get(processor.info['blob_info_name']).read()))
for size in images:
self.assertEquals(
images[size],
client.get(processor.info['blob_names'][size]).read())
def run(self):
'''Run the request.'''
if self.method not in ['POST', 'PUT']:
raise clcommon.http.MethodNotAllowed()
config = self.parse_params(['filename'], ['quality', 'ttl'],
['save', 'save_blob'], ['sizes'])
config = clcommon.config.update(self.server.config,
{'climage': {'processor': config}})
response = config['climage']['server']['response']
response = self.params.get('response', response).lower()
sizes = config['climage']['processor']['sizes']
if response not in VALID_RESPONSES + sizes:
raise clcommon.http.BadRequest(
_('Invalid response parameter: %s') % response)
try:
processor = climage.processor.Processor(config, self.body_data,
self.server.image_processor_pool, self.server.blob_client)
processed = processor.process()
except climage.processor.ProcessingError, exception:
raise clcommon.http.BadRequest(str(exception))
def test_exif(self):
processor = climage.processor.Processor(self.config, open(EXIF_IMAGE))
processor.process()
self.assertEquals(processor.info['exif_gpsversionid'], '(2, 2, 0, 0)')
def test_truncate(self):
image = open(IMAGE).read()[:-100]
processor = climage.processor.Processor(self.config, image)
processed = processor.process()
self.assertEquals(len(processed),
len(self.config['climage']['processor']['sizes']))
def test_no_size(self):
config = clcommon.config.update_option(self.config,
'climage.processor.sizes', [])
processor = climage.processor.Processor(config, open(IMAGE))
processed = processor.process()
self.assertEquals(len(processed), 0)
def test_no_size(self):
config = clcommon.config.update_option(self.config, "climage.processor.sizes", [])
processor = climage.processor.Processor(config, open(IMAGE))
processed = processor.process()
self.assertEquals(len(processed), 0)
def test_process(self):
processor = climage.processor.Processor(self.config, open(IMAGE))
processed = processor.process()
self.assertEquals(processor.info["width"], 1000)
self.assertEquals(processor.info["height"], 750)
self.assertEquals(len(processed), len(self.config["climage"]["processor"]["sizes"]))
def test_exif(self):
processor = climage.processor.Processor(self.config, open(EXIF_IMAGE))
processor.process()
self.assertEquals(processor.info["exif_gpsversionid"], "(2, 2, 0, 0)")
def test_truncate(self):
image = open(IMAGE).read()[:-100]
processor = climage.processor.Processor(self.config, image)
processed = processor.process()
self.assertEquals(len(processed), len(self.config["climage"]["processor"]["sizes"]))
