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"""
"""
# Created on 2014.07.08
#
# Author: Giovanni Cannata
#
# Copyright 2015 Giovanni Cannata
#
# This file is part of ldap3.
#
# ldap3 is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# ldap3 is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with ldap3 in the COPYING and COPYING.LESSER files.
# If not, see <http://www.gnu.org/licenses/>.
from ... import SUBTREE, DEREF_ALWAYS
def paged_search_generator(connection,
search_base,
search_filter,
search_scope=SUBTREE,
dereference_aliases=DEREF_ALWAYS,
attributes=None,
size_limit=0,
time_limit=0,
types_only=False,
get_operational_attributes=False,
controls=None,
paged_size=100,
paged_criticality=False):
responses = []
cookie = True # performs search at least one time
count = 0
while cookie:
count += 1
result = connection.search(search_base,
search_filter,
search_scope,
dereference_aliases,
attributes,
size_limit,
time_limit,
types_only,
get_operational_attributes,
controls,
paged_size,
paged_criticality,
None if cookie is True else cookie)
if not isinstance(result, bool):
response, result = connection.get_response(result)
else:
response = connection.response
result = connection.result
responses.extend(response)
try:
cookie = result['controls']['1.2.840.113556.1.4.319']['value']['cookie']
except KeyError:
cookie = None
while responses:
yield responses.pop()
connection.response = None
def paged_search_accumulator(connection,
search_base,
search_filter,
search_scope=SUBTREE,
dereference_aliases=DEREF_ALWAYS,
attributes=None,
size_limit=0,
time_limit=0,
types_only=False,
get_operational_attributes=False,
controls=None,
paged_size=100,
paged_criticality=False):
responses = []
for response in paged_search_generator(connection,
search_base,
search_filter,
search_scope,
dereference_aliases,
attributes,
size_limit,
time_limit,
types_only,
get_operational_attributes,
controls,
paged_size,
paged_criticality):
responses.append(response)
connection.response = responses
return responses
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