def retrieve_files(args):
session = boto3.Session(profile_name='aws-chiles02')
s3 = session.resource('s3')
bucket = s3.Bucket(args.bucket)
size = 0
for key in bucket.objects.all():
size += key.size
LOG.info('{0}, {1}, {2}, {3}'.format(key.key, bytes2human(key.size), size, bytes2human(size)))
LOG.info('Size = {0}'.format(bytes2human(size)))
def copy_measurement_set(measurement_set, directory_out, bucket_name):
LOG.info('measurement_set: {0}, bucket_name: {1}'.format(measurement_set, bucket_name))
(measurement_set_directory, measurement_set_filename) = split(measurement_set)
key = 'observation_data/{0}.tar'.format(measurement_set_filename)
session = boto3.Session(profile_name='aws-chiles02')
s3 = session.resource('s3', use_ssl=False)
bucket = s3.Bucket(bucket_name)
objs = list(bucket.objects.filter(Prefix=key))
if len(objs) > 0 and objs[0].key == key:
LOG.info('The measurement set {0} exists in {1}'.format(key, bucket_name))
else:
tar_filename = os.path.join(directory_out, '{0}.tar'.format(measurement_set_filename))
bash = 'cd {0} && tar -cvf {1} {2}'.format(measurement_set_directory, tar_filename, measurement_set_filename)
return_code = run_command(bash)
path_exists = os.path.exists(tar_filename)
if return_code != 0 or not path_exists:
LOG.error('tar return_code: {0}, exists: {1}'.format(return_code, path_exists))
else:
tar_size = float(os.path.getsize(tar_filename))
chunk_size = int(tar_size / 9999)
LOG.info(
'tar_filename: {0}, bucket: {1}, key: {2}, size: {3}, chunk_size: {4}'.format(
tar_filename,
bucket_name,
key,
bytes2human(tar_size),
chunk_size
)
)
transfer_config = TransferConfig(
multipart_chunksize=chunk_size
)
s3_client = s3.meta.client
transfer = S3Transfer(s3_client, transfer_config)
transfer.upload_file(
tar_filename,
bucket_name,
key,
callback=ProgressPercentage(
key,
tar_size
),
extra_args={
'StorageClass': 'REDUCED_REDUNDANCY',
}
)
# Clean up
if path_exists:
os.remove(tar_filename)
def main():
arguments = parse_arguments()
logging.basicConfig(level=logging.INFO)
if arguments.verbosity == 0:
logging.getLogger('boto3').setLevel(level=logging.WARN)
logging.getLogger('botocore').setLevel(level=logging.WARN)
logging.getLogger('nose').setLevel(level=logging.WARN)
session = boto3.Session(profile_name='aws-chiles02')
s3 = session.resource('s3', use_ssl=False)
bucket = s3.Bucket(arguments.bucket)
size = 0
count = 0
for key in bucket.objects.all():
size += key.size
count += 1
if count % 100 == 0:
LOG.info('Count: {0}, size: {1}'.format(count, bytes2human(size)))
LOG.info('Size: {0}'.format(bytes2human(size)))
def main():
arguments = parse_arguments()
logging.basicConfig(level=logging.INFO)
if arguments.verbosity == 0:
logging.getLogger('boto3').setLevel(level=logging.WARN)
logging.getLogger('botocore').setLevel(level=logging.WARN)
logging.getLogger('nose').setLevel(level=logging.WARN)
session = boto3.Session(profile_name='aws-chiles02')
s3 = session.resource('s3', use_ssl=False)
bucket = s3.Bucket(arguments.bucket)
size = 0
count = 0
for key in bucket.objects.all():
size += key.size
count += 1
if count % 100 == 0:
LOG.info('Count: {0}, size: {1}'.format(count, bytes2human(size)))
LOG.info('Size: {0}'.format(bytes2human(size)))
def copy_measurement_set(measurement_set, directory_out, bucket_name):
LOG.info('measurement_set: {0}, bucket_name: {1}'.format(
measurement_set, bucket_name))
(measurement_set_directory,
measurement_set_filename) = split(measurement_set)
key = 'observation_data/{0}.tar'.format(measurement_set_filename)
session = boto3.Session(profile_name='aws-chiles02')
s3 = session.resource('s3', use_ssl=False)
bucket = s3.Bucket(bucket_name)
objs = list(bucket.objects.filter(Prefix=key))
if len(objs) > 0 and objs[0].key == key:
LOG.info('The measurement set {0} exists in {1}'.format(
key, bucket_name))
else:
tar_filename = os.path.join(directory_out,
'{0}.tar'.format(measurement_set_filename))
bash = 'cd {0} && tar -cvf {1} {2}'.format(measurement_set_directory,
tar_filename,
measurement_set_filename)
return_code = run_command(bash)
path_exists = os.path.exists(tar_filename)
if return_code != 0 or not path_exists:
LOG.error('tar return_code: {0}, exists: {1}'.format(
return_code, path_exists))
else:
tar_size = float(os.path.getsize(tar_filename))
chunk_size = int(tar_size / 9999)
LOG.info(
'tar_filename: {0}, bucket: {1}, key: {2}, size: {3}, chunk_size: {4}'
.format(tar_filename, bucket_name, key, bytes2human(tar_size),
chunk_size))
transfer_config = TransferConfig(multipart_chunksize=chunk_size)
s3_client = s3.meta.client
transfer = S3Transfer(s3_client, transfer_config)
transfer.upload_file(tar_filename,
bucket_name,
key,
callback=ProgressPercentage(key, tar_size),
extra_args={
'StorageClass': 'REDUCED_REDUNDANCY',
})
# Clean up
if path_exists:
os.remove(tar_filename)
def retrieve_files(args):
session = boto3.Session(profile_name='aws-chiles02')
s3 = session.resource('s3', use_ssl=False)
bucket = s3.Bucket(args.bucket)
size = 0
for key in bucket.objects.all():
if key.key.endswith('_calibrated_deepfield.ms.tar'):
obj = s3.Object(key.bucket_name, key.key)
storage_class = obj.storage_class
restore = obj.restore
size += key.size
if args.verbosity >= 1:
LOG.info('{0}, {1}, {2}, {3}'.format(key.key, storage_class, restore, size))
LOG.info('Size = {0}'.format(bytes2human(size)))
