我正在尝试找到使用python-ldap获取属于groupOfNames成员的组的所有LDAP用户帐户的列表的最佳方法。这是在OpenLDAP服务器上,而不是AD。我编写了下面的函数,它完成了这项工作但需要永远运行。我希望python-ldap有一些我不知道的内置函数,或者我可以修改一些东西以使其更快地运行。如果没有,希望其他人会发现此代码有用。在此先感谢您的帮助!
def get_nested_members(con, dn):
"""
Parameters
----------
con : LDAPObject
An authenticated python-ldap connection object
dn : string
The dn of the groupOfNames to be checked
Returns
-------
members : list
A list of all accounts that are members of the given dn
"""
members = []
searched = []
to_search = [dn]
while len(to_search) > 0:
current_dn = to_search.pop()
cn = current_dn.split(',')[0]
r = con.search_s(base_dn, ldap.SCOPE_SUBTREE, cn, [])[0][1]
if 'groupOfNames' in r['objectClass']:
if 'member' in r:
for i in r['member']:
if((i != current_dn) and (i not in searched)):
to_search.append(i)
searched.append(current_dn)
elif 'posixGroup' in r['objectClass']:
if 'memberUid' in r:
for i in r['memberUid']:
members.append(i)
searched.append(current_dn)
elif 'posixAccount' in r['objectClass']:
if 'uid' in r:
members.append(r['uid'][0])
else:
print('ERROR: encountered record of unknown type:')
pprint(str([current_dn, r]))
return list(set(members))
答案 0 :(得分:0)
我意识到重复运行ldapsearch是限制因素,所以我创建了一个新版本,它首先构建了ALL group和groupOfNames记录的字典。它占用的内存比旧解决方案多一点,但对LDAP服务器的负担较小,运行速度明显更快(从我的应用程序的约15分钟减少到<1秒)。我会将原始代码保留在新版本下面,以供参考。 merge_dicts()函数的信用转到Aaron Hall。
import ldap
def merge_dicts(*dict_args):
"""Given any number of dicts, shallow copy and merge into a new dict,
precedence goes to key value pairs in latter dicts.
"""
result = {}
for dictionary in dict_args:
result.update(dictionary)
return result
def get_nested_members(con, dn, base_dn='dc=example'):
"""Search a groupOfNames and return all posixAccount members from all its subgroups
Parameters
----------
con: LDAPObject
An authenticated LDAP connection object
dn: string
The dn of the groupOfNames to be searched for members
(optional) base_dn: string
The base dn to search on. Make sure to change the default value to fit your LDAP server
Returns
-------
members: list
A list of all nested members from the provided groupOfNames
"""
logging.info('Getting nested members of ' + str(dn))
print('Getting nested members of ' + str(dn))
if type(dn) is list:
to_search = [] + dn
elif type(dn) is str:
to_search = [dn]
else:
print('ERROR: Invalid dn value. Please supply either a sting or list of strings.')
return []
members = []
searched = []
groupOfNames_list = con.search_s(base_dn, ldap.SCOPE_SUBTREE, 'objectClass=groupOfNames', ['dn', 'member', 'cn'])
groupOfNames_dict = {}
for g in range(len(groupOfNames_list)):
groupOfNames_dict[groupOfNames_list[g][0]] = groupOfNames_list[g][1]
groupOfNames_list = None #To free up memory
group_list = con.search_s(base_dn, ldap.SCOPE_SUBTREE, 'objectClass=posixGroup', ['dn', 'memberUid', 'cn'])
group_dict = {}
for g in range(len(group_list)):
group_dict[group_list[g][0]] = group_list[g][1]
group_list = None #To free up memory
all_groups = merge_dicts(groupOfNames_dict, group_dict)
group_dict = None #To free up memory
groupOfNamesdict = None #To free up memory
while len(to_search) > 0:
search_dn = to_search.pop()
try:
g = all_groups[search_dn]
if 'memberUid' in g:
members += g['memberUid']
searched.append(search_dn)
elif 'member' in g:
m = g['member']
for i in m:
if i.startswith('uid='):
members.append((i.split(',')[0]).split('=')[1])
elif i.startswith('cn='):
if i not in searched:
to_search.append(i)
searched.append(search_dn)
else:
searched.append(search_dn)
except:
searched.append(search_dn)
return list(set(members))