Current File : //lib/python3/dist-packages/samba/uptodateness.py
# Uptodateness utils
#
# Copyright (C) Andrew Bartlett 2015, 2018
# Copyright (C) Douglas Bagnall <douglas.bagnall@catalyst.net.nz>
# Copyright (C) Joe Guo <joeg@catalyst.net.nz>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program 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 General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import sys
import time
from ldb import SCOPE_BASE, LdbError
from samba import nttime2unix, dsdb
from samba.netcmd import CommandError
from samba.samdb import SamDB
from samba.kcc import KCC
def get_kcc_and_dsas(url, lp, creds):
"""Get a readonly KCC object and the list of DSAs it knows about."""
unix_now = int(time.time())
kcc = KCC(unix_now, readonly=True)
kcc.load_samdb(url, lp, creds)
dsa_list = kcc.list_dsas()
dsas = set(dsa_list)
if len(dsas) != len(dsa_list):
print("There seem to be duplicate dsas", file=sys.stderr)
return kcc, dsas
def get_partition_maps(samdb):
"""Generate dictionaries mapping short partition names to the
appropriate DNs."""
base_dn = samdb.domain_dn()
short_to_long = {
"DOMAIN": base_dn,
"CONFIGURATION": str(samdb.get_config_basedn()),
"SCHEMA": "CN=Schema,%s" % samdb.get_config_basedn(),
"DNSDOMAIN": "DC=DomainDnsZones,%s" % base_dn,
"DNSFOREST": "DC=ForestDnsZones,%s" % base_dn
}
long_to_short = {}
for s, l in short_to_long.items():
long_to_short[l] = s
return short_to_long, long_to_short
def get_partition(samdb, part):
# Allow people to say "--partition=DOMAIN" rather than
# "--partition=DC=blah,DC=..."
if part is not None:
short_partitions, long_partitions = get_partition_maps(samdb)
part = short_partitions.get(part.upper(), part)
if part not in long_partitions:
raise CommandError("unknown partition %s" % part)
return part
def get_utdv(samdb, dn):
"""This finds the uptodateness vector in the database."""
cursors = []
config_dn = samdb.get_config_basedn()
for c in dsdb._dsdb_load_udv_v2(samdb, dn):
inv_id = str(c.source_dsa_invocation_id)
res = samdb.search(base=config_dn,
expression=("(&(invocationId=%s)"
"(objectClass=nTDSDSA))" % inv_id),
attrs=["distinguishedName", "invocationId"])
try:
settings_dn = str(res[0]["distinguishedName"][0])
prefix, dsa_dn = settings_dn.split(',', 1)
except IndexError as e:
continue
if prefix != 'CN=NTDS Settings':
raise CommandError("Expected NTDS Settings DN, got %s" %
settings_dn)
cursors.append((dsa_dn,
inv_id,
int(c.highest_usn),
nttime2unix(c.last_sync_success)))
return cursors
def get_own_cursor(samdb):
res = samdb.search(base="",
scope=SCOPE_BASE,
attrs=["highestCommittedUSN"])
usn = int(res[0]["highestCommittedUSN"][0])
now = int(time.time())
return (usn, now)
def get_utdv_edges(local_kcc, dsas, part_dn, lp, creds):
# we talk to each remote and make a matrix of the vectors
# for each partition
# normalise by oldest
utdv_edges = {}
for dsa_dn in dsas:
res = local_kcc.samdb.search(dsa_dn,
scope=SCOPE_BASE,
attrs=["dNSHostName"])
ldap_url = "ldap://%s" % res[0]["dNSHostName"][0]
try:
samdb = SamDB(url=ldap_url, credentials=creds, lp=lp)
cursors = get_utdv(samdb, part_dn)
own_usn, own_time = get_own_cursor(samdb)
remotes = {dsa_dn: own_usn}
for dn, guid, usn, t in cursors:
remotes[dn] = usn
except LdbError as e:
print("Could not contact %s (%s)" % (ldap_url, e),
file=sys.stderr)
continue
utdv_edges[dsa_dn] = remotes
return utdv_edges
def get_utdv_distances(utdv_edges, dsas):
distances = {}
for dn1 in dsas:
try:
peak = utdv_edges[dn1][dn1]
except KeyError as e:
peak = 0
d = {}
distances[dn1] = d
for dn2 in dsas:
if dn2 in utdv_edges:
if dn1 in utdv_edges[dn2]:
dist = peak - utdv_edges[dn2][dn1]
d[dn2] = dist
else:
print(f"Missing dn {dn1} from UTD vector for dsa {dn2}",
file=sys.stderr)
else:
print("missing dn %s from UTD vector list" % dn2,
file=sys.stderr)
return distances
def get_utdv_max_distance(distances):
max_distance = 0
for vector in distances.values():
for distance in vector.values():
max_distance = max(max_distance, distance)
return max_distance
def get_utdv_summary(distances, filters=None):
maximum = failure = 0
median = 0.0 # could be average of 2 median values
values = []
# put all values into a list, exclude self to self ones
for dn_outer, vector in distances.items():
for dn_inner, distance in vector.items():
if dn_outer != dn_inner:
values.append(distance)
if values:
values.sort()
maximum = values[-1]
length = len(values)
if length % 2 == 0:
index = length//2 - 1
median = (values[index] + values[index+1])/2.0
median = round(median, 1) # keep only 1 decimal digit like 2.5
else:
index = (length - 1)//2
median = values[index]
median = float(median) # ensure median is always a float like 1.0
# if value not exist, that's a failure
expected_length = len(distances) * (len(distances) - 1)
failure = expected_length - length
summary = {
'maximum': maximum,
'median': median,
'failure': failure,
}
if filters:
return {key: summary[key] for key in filters}
else:
return summary
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