-#!/usr/bin/env python
# -*- coding: utf-8 -*-
from constants import TESTBED_ID, TESTBED_VERSION
from nepi.util.graphtools import mst
from nepi.util import ipaddr2
from nepi.util import environ
+from nepi.util import server
from nepi.util.parallel import ParallelRun
import sys
import os
import metadata
import weakref
-def getAPI(user, pass_):
+def getAPI(user, pass_, **kw):
import plcapi
- return plcapi.PLCAPI(username=user, password=pass_)
+ return plcapi.PLCAPI(username=user, password=pass_, **kw)
def filterBlacklist(candidates):
blpath = environ.homepath('plblacklist')
finally:
bl.close()
+def appendBlacklist(node_ids):
+ if not isinstance(node_ids, list):
+ node_ids = [ node_ids ]
+
+ blpath = environ.homepath('plblacklist')
+ bl = open(blpath, "a")
+
+ try:
+ for node_id in node_ids:
+ bl.write("%s\n" % (node_id,))
+ finally:
+ bl.close()
+
+def getVnet(api, slicename):
+ return api.GetSliceVsysNetTag(slicename)
+
def getNodes(api, num, **constraints):
# Now do the backtracking search for a suitable solution
# First with existing slice nodes
# Obtain all IPs in numeric format
# (which means faster distance computations)
for node in nodes:
- node._ip = socket.gethostbyname(hostgetter(node))
+ node._ip = server.gethostbyname(hostgetter(node))
node._ip_n = struct.unpack('!L', socket.inet_aton(node._ip))[0]
# Compute plan