def run(self):
if self.load_exported_image and len(
self.workflow.exported_image_sequence) > 0:
image_metadata = self.workflow.exported_image_sequence[-1]
image = image_metadata.get('path')
image_type = image_metadata.get('type')
self.log.info('preparing to compress image %s', image)
with open(image, 'rb') as image_stream:
outfile = self._compress_image_stream(image_stream)
else:
if self.source_build:
self.log.info('skipping, no exported source image to compress')
return
image = self.workflow.image
image_type = IMAGE_TYPE_DOCKER_ARCHIVE
self.log.info('fetching image %s from docker', image)
with self.tasker.get_image(image) as image_stream:
outfile = self._compress_image_stream(image_stream)
metadata = get_exported_image_metadata(outfile, image_type)
if self.uncompressed_size != 0:
metadata['uncompressed_size'] = self.uncompressed_size
savings = 1 - metadata['size'] / metadata['uncompressed_size']
self.log.debug(
'uncompressed: %s, compressed: %s, ratio: %.2f %% saved',
human_size(metadata['uncompressed_size']),
human_size(metadata['size']), 100 * savings)
self.workflow.exported_image_sequence.append(metadata)
self.log.info('compressed image is available as %s', outfile)
def run(self):
if self.load_exported_image and len(self.workflow.exported_image_sequence) > 0:
image_metadata = self.workflow.exported_image_sequence[-1]
image = image_metadata.get('path')
image_type = image_metadata.get('type')
self.log.info('preparing to compress image %s', image)
with open(image, 'rb') as image_stream:
outfile = self._compress_image_stream(image_stream)
else:
image = self.workflow.image
image_type = IMAGE_TYPE_DOCKER_ARCHIVE
self.log.info('fetching image %s from docker', image)
with self.tasker.d.get_image(image) as image_stream:
outfile = self._compress_image_stream(image_stream)
metadata = get_exported_image_metadata(outfile, image_type)
if self.uncompressed_size != 0:
metadata['uncompressed_size'] = self.uncompressed_size
savings = 1 - metadata['size'] / metadata['uncompressed_size']
self.log.debug('uncompressed: %s, compressed: %s, ratio: %.2f %% saved',
human_size(metadata['uncompressed_size']),
human_size(metadata['size']),
100*savings)
self.workflow.exported_image_sequence.append(metadata)
self.log.info('compressed image is available as %s', outfile)
def run(self):
if self.load_exported_image:
if len(self.workflow.exported_image_sequence) == 0:
raise RuntimeError(
'load_exported_image used, but no exported image')
image_metadata = self.workflow.exported_image_sequence[-1]
image = image_metadata.get('path')
image_type = image_metadata.get('type')
self.log.info('preparing to compress image %s', image)
with open(image, 'rb') as image_stream:
outfile = self._compress_image_stream(image_stream)
else:
image = self.workflow.image
image_type = IMAGE_TYPE_DOCKER_ARCHIVE
self.log.info('fetching image %s from docker', image)
with self.tasker.d.get_image(image) as image_stream:
outfile = self._compress_image_stream(image_stream)
metadata = get_exported_image_metadata(outfile, image_type)
if self.uncompressed_size != 0:
metadata['uncompressed_size'] = self.uncompressed_size
savings = 1 - metadata['size'] / float(
metadata['uncompressed_size'])
self.log.debug(
'uncompressed: %s, compressed: %s, ratio: %.2f %% saved',
human_size(metadata['uncompressed_size']),
human_size(metadata['size']), 100 * savings)
self.workflow.exported_image_sequence.append(metadata)
self.log.info('compressed image is available as %s', outfile)
def run(self):
if self.load_exported_image:
if len(self.workflow.exported_image_sequence) == 0:
raise RuntimeError('load_exported_image used, but no exported image')
image = self.workflow.exported_image_sequence[-1].get('path')
self.log.info('preparing to compress image %s', image)
with open(image, 'rb') as image_stream:
outfile = self._compress_image_stream(image_stream)
else:
image = self.workflow.image
self.log.info('fetching image %s from docker', image)
with self.tasker.d.get_image(image) as image_stream:
outfile = self._compress_image_stream(image_stream)
metadata = get_exported_image_metadata(outfile)
if self.uncompressed_size != 0:
metadata['uncompressed_size'] = self.uncompressed_size
savings = 1 - metadata['size'] / float(metadata['uncompressed_size'])
self.log.debug('uncompressed: %s, compressed: %s, ratio: %.2f %% saved',
human_size(metadata['uncompressed_size']),
human_size(metadata['size']),
100*savings)
self.workflow.exported_image_sequence.append(metadata)
self.log.info('compressed image is available as %s', outfile)
def test_human_size(size_input, expected):
assert human_size(size_input) == expected
def test_human_size(size_input, expected):
assert human_size(size_input) == expected