blob: e11eb493a51cc204ec332fd388c9bbd3e2a0c1fe [file] [log] [blame]
# Copyright (c) 2006,2007 Mitch Garnaat http://garnaat.org/
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish, dis-
# tribute, sublicense, and/or sell copies of the Software, and to permit
# persons to whom the Software is furnished to do so, subject to the fol-
# lowing conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
def bucket_lister(bucket, prefix='', delimiter='', marker='', headers=None):
"""
A generator function for listing keys in a bucket.
"""
more_results = True
k = None
while more_results:
rs = bucket.get_all_keys(prefix=prefix, marker=marker,
delimiter=delimiter, headers=headers)
for k in rs:
yield k
if k:
marker = rs.next_marker or k.name
more_results= rs.is_truncated
class BucketListResultSet:
"""
A resultset for listing keys within a bucket. Uses the bucket_lister
generator function and implements the iterator interface. This
transparently handles the results paging from S3 so even if you have
many thousands of keys within the bucket you can iterate over all
keys in a reasonably efficient manner.
"""
def __init__(self, bucket=None, prefix='', delimiter='', marker='', headers=None):
self.bucket = bucket
self.prefix = prefix
self.delimiter = delimiter
self.marker = marker
self.headers = headers
def __iter__(self):
return bucket_lister(self.bucket, prefix=self.prefix,
delimiter=self.delimiter, marker=self.marker,
headers=self.headers)
def versioned_bucket_lister(bucket, prefix='', delimiter='',
key_marker='', version_id_marker='', headers=None):
"""
A generator function for listing versions in a bucket.
"""
more_results = True
k = None
while more_results:
rs = bucket.get_all_versions(prefix=prefix, key_marker=key_marker,
version_id_marker=version_id_marker,
delimiter=delimiter, headers=headers,
max_keys=999)
for k in rs:
yield k
key_marker = rs.next_key_marker
version_id_marker = rs.next_version_id_marker
more_results= rs.is_truncated
class VersionedBucketListResultSet:
"""
A resultset for listing versions within a bucket. Uses the bucket_lister
generator function and implements the iterator interface. This
transparently handles the results paging from S3 so even if you have
many thousands of keys within the bucket you can iterate over all
keys in a reasonably efficient manner.
"""
def __init__(self, bucket=None, prefix='', delimiter='', key_marker='',
version_id_marker='', headers=None):
self.bucket = bucket
self.prefix = prefix
self.delimiter = delimiter
self.key_marker = key_marker
self.version_id_marker = version_id_marker
self.headers = headers
def __iter__(self):
return versioned_bucket_lister(self.bucket, prefix=self.prefix,
delimiter=self.delimiter,
key_marker=self.key_marker,
version_id_marker=self.version_id_marker,
headers=self.headers)
def multipart_upload_lister(bucket, key_marker='',
upload_id_marker='',
headers=None):
"""
A generator function for listing multipart uploads in a bucket.
"""
more_results = True
k = None
while more_results:
rs = bucket.get_all_multipart_uploads(key_marker=key_marker,
upload_id_marker=upload_id_marker,
headers=headers)
for k in rs:
yield k
key_marker = rs.next_key_marker
upload_id_marker = rs.next_upload_id_marker
more_results= rs.is_truncated
class MultiPartUploadListResultSet:
"""
A resultset for listing multipart uploads within a bucket.
Uses the multipart_upload_lister generator function and
implements the iterator interface. This
transparently handles the results paging from S3 so even if you have
many thousands of uploads within the bucket you can iterate over all
keys in a reasonably efficient manner.
"""
def __init__(self, bucket=None, key_marker='',
upload_id_marker='', headers=None):
self.bucket = bucket
self.key_marker = key_marker
self.upload_id_marker = upload_id_marker
self.headers = headers
def __iter__(self):
return multipart_upload_lister(self.bucket,
key_marker=self.key_marker,
upload_id_marker=self.upload_id_marker,
headers=self.headers)