/usr/lib/python2.7/dist-packages/ClusterShell/Topology.py is in clustershell 1.7-1-1.
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#
# Copyright CEA/DAM/DIF (2010-2015)
# Contributor: Henri DOREAU <henri.doreau@cea.fr>
# Contributor: Stephane THIELL <sthiell@stanford.edu>
#
# This file is part of the ClusterShell library.
#
# This software is governed by the CeCILL-C license under French law and
# abiding by the rules of distribution of free software. You can use,
# modify and/ or redistribute the software under the terms of the CeCILL-C
# license as circulated by CEA, CNRS and INRIA at the following URL
# "http://www.cecill.info".
#
# As a counterpart to the access to the source code and rights to copy,
# modify and redistribute granted by the license, users are provided only
# with a limited warranty and the software's author, the holder of the
# economic rights, and the successive licensors have only limited
# liability.
#
# In this respect, the user's attention is drawn to the risks associated
# with loading, using, modifying and/or developing or reproducing the
# software by the user in light of its specific status of free software,
# that may mean that it is complicated to manipulate, and that also
# therefore means that it is reserved for developers and experienced
# professionals having in-depth computer knowledge. Users are therefore
# encouraged to load and test the software's suitability as regards their
# requirements in conditions enabling the security of their systems and/or
# data to be ensured and, more generally, to use and operate it in the
# same conditions as regards security.
#
# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL-C license and that you accept its terms.
"""
ClusterShell topology module
This module contains the network topology parser and its related
classes. These classes are used to build a topology tree of nodegroups
according to the configuration file.
This file must be written using the following syntax:
# for now only [routes] tree is taken in account:
[routes]
admin: first_level_gateways[0-10]
first_level_gateways[0-10]: second_level_gateways[0-100]
second_level_gateways[0-100]: nodes[0-2000]
...
"""
import ConfigParser
from ClusterShell.NodeSet import NodeSet
class TopologyError(Exception):
"""topology parser error to report invalid configurations or parsing
errors
"""
class TopologyNodeGroup(object):
"""Base element for in-memory representation of the propagation tree.
Contains a nodeset, with parent-children relationships with other
instances.
"""
def __init__(self, nodeset=None):
"""initialize a new TopologyNodeGroup instance."""
# Base nodeset
self.nodeset = nodeset
# Parent TopologyNodeGroup (TNG) instance
self.parent = None
# List of children TNG instances
self._children = []
self._children_len = 0
# provided for convenience
self._children_ns = None
def printable_subtree(self, prefix=''):
"""recursive method that returns a printable version the subtree from
the current node with a nice presentation
"""
res = ''
# For now, it is ok to use a recursive method here as we consider that
# tree depth is relatively small.
if self.parent is None:
# root
res = '%s\n' % str(self.nodeset)
elif self.parent.parent is None:
# first level
if not self._is_last():
res = '|- %s\n' % str(self.nodeset)
else:
res = '`- %s\n' % str(self.nodeset)
else:
# deepest levels...
if not self.parent._is_last():
prefix += '| '
else:
# fix last line
prefix += ' '
if not self._is_last():
res = '%s|- %s\n' % (prefix, str(self.nodeset))
else:
res = '%s`- %s\n' % (prefix, str(self.nodeset))
# perform recursive calls to print out every node
for child in self._children:
res += child.printable_subtree(prefix)
return res
def add_child(self, child):
"""add a child to the children list and define the current instance as
its parent
"""
assert isinstance(child, TopologyNodeGroup)
if child in self._children:
return
child.parent = self
self._children.append(child)
if self._children_ns is None:
self._children_ns = NodeSet()
self._children_ns.add(child.nodeset)
def clear_child(self, child, strict=False):
"""remove a child"""
try:
self._children.remove(child)
self._children_ns.difference_update(child.nodeset)
if len(self._children_ns) == 0:
self._children_ns = None
except ValueError:
if strict:
raise
def clear_children(self):
"""delete all children"""
self._children = []
self._children_ns = None
def children(self):
"""get the children list"""
return self._children
def children_ns(self):
"""return the children as a nodeset"""
return self._children_ns
def children_len(self):
"""returns the number of children as the sum of the size of the
children's nodeset
"""
if self._children_ns is None:
return 0
else:
return len(self._children_ns)
def _is_last(self):
"""used to display the subtree: we won't prefix the line the same way if
the current instance is the last child of the children list of its
parent.
"""
return self.parent._children[-1::][0] == self
def __str__(self):
"""printable representation of the nodegroup"""
return '<TopologyNodeGroup (%s)>' % str(self.nodeset)
class TopologyTree(object):
"""represent a simplified network topology as a tree of machines to use to
connect to other ones
"""
class TreeIterator(object):
"""efficient tool for tree-traversal"""
def __init__(self, tree):
"""we do simply manage a stack with the remaining nodes"""
self._stack = [tree.root]
def next(self):
"""return the next node in the stack or raise a StopIteration
exception if the stack is empty
"""
if len(self._stack) > 0 and self._stack[0] is not None:
node = self._stack.pop()
self._stack += node.children()
return node
else:
raise StopIteration()
def __init__(self):
"""initialize a new TopologyTree instance."""
self.root = None
self.groups = []
def load(self, rootnode):
"""load topology tree"""
self.root = rootnode
stack = [rootnode]
while len(stack) > 0:
curr = stack.pop()
self.groups.append(curr)
if curr.children_len() > 0:
stack += curr.children()
def __iter__(self):
"""provide an iterator on the tree's elements"""
return TopologyTree.TreeIterator(self)
def __str__(self):
"""printable representation of the tree"""
if self.root is None:
return '<TopologyTree instance (empty)>'
return self.root.printable_subtree()
def find_nodegroup(self, node):
"""Find TopologyNodeGroup from given node (helper to find new root)"""
for group in self.groups:
if node in group.nodeset:
return group
raise TopologyError('TopologyNodeGroup not found for node %s' % node)
class TopologyRoute(object):
"""A single route between two nodesets"""
def __init__(self, src_ns, dst_ns):
"""both src_ns and dst_ns are expected to be non-empty NodeSet
instances
"""
self.src = src_ns
self.dst = dst_ns
if len(src_ns & dst_ns) != 0:
raise TopologyError(
'Source and destination nodesets overlap')
def dest(self, nodeset=None):
"""get the route's destination. The optionnal argument serves for
convenience and provides a way to use the method for a subset of the
whole source nodeset
"""
if nodeset is None or nodeset in self.src:
return self.dst
else:
return None
def __str__(self):
"""printable representation"""
return '%s -> %s' % (str(self.src), str(self.dst))
class TopologyRoutingTable(object):
"""This class provides a convenient way to store and manage topology
routes
"""
def __init__(self):
"""Initialize a new TopologyRoutingTable instance."""
self._routes = []
self.aggregated_src = NodeSet()
self.aggregated_dst = NodeSet()
def add_route(self, route):
"""add a new route to the table. The route argument is expected to be a
TopologyRoute instance
"""
if self._introduce_circular_reference(route):
raise TopologyError(
'Loop detected! Cannot add route %s' % str(route))
if self._introduce_convergent_paths(route):
raise TopologyError(
'Convergent path detected! Cannot add route %s' % str(route))
self._routes.append(route)
self.aggregated_src.add(route.src)
self.aggregated_dst.add(route.dst)
def connected(self, src_ns):
"""find out and return the aggregation of directly connected children
from src_ns.
Argument src_ns is expected to be a NodeSet instance. Result is returned
as a NodeSet instance
"""
next_hop = NodeSet.fromlist([dst for dst in \
[route.dest(src_ns) for route in self._routes] if dst is not None])
if len(next_hop) == 0:
return None
return next_hop
def __str__(self):
"""printable representation"""
return '\n'.join([str(route) for route in self._routes])
def __iter__(self):
"""return an iterator over the list of rotues"""
return iter(self._routes)
def _introduce_circular_reference(self, route):
"""check whether the last added route adds a topology loop or not"""
current_ns = route.dst
# iterate over the destinations until we find None or we come back on
# the src
while True:
_dest = self.connected(current_ns)
if _dest is None or len(_dest) == 0:
return False
if len(_dest & route.src) != 0:
return True
current_ns = _dest
def _introduce_convergent_paths(self, route):
"""check for undesired convergent paths"""
for known_route in self._routes:
# source cannot be a superset of an already known destination
if route.src > known_route.dst:
return True
# same thing...
if route.dst < known_route.src:
return True
# two different nodegroups cannot point to the same one
if len(route.dst & known_route.dst) != 0 \
and route.src != known_route.src:
return True
return False
class TopologyGraph(object):
"""represent a complete network topology by storing every "can reach"
relations between nodes.
"""
def __init__(self):
"""initialize a new TopologyGraph instance."""
self._routing = TopologyRoutingTable()
self._nodegroups = {}
self._root = ''
def add_route(self, src_ns, dst_ns):
"""add a new route from src nodeset to dst nodeset. The destination
nodeset must not overlap with already known destination nodesets
(otherwise a TopologyError is raised)
"""
assert isinstance(src_ns, NodeSet)
assert isinstance(dst_ns, NodeSet)
#print 'adding %s -> %s' % (str(src_ns), str(dst_ns))
self._routing.add_route(TopologyRoute(src_ns, dst_ns))
def dest(self, from_nodeset):
"""return the aggregation of the destinations for a given nodeset"""
return self._routing.connected(from_nodeset)
def to_tree(self, root):
"""convert the routing table to a topology tree of nodegroups"""
# convert the routing table into a table of linked TopologyNodeGroup's
self._routes_to_tng()
# ensure this is a valid pseudo-tree
self._validate(root)
tree = TopologyTree()
tree.load(self._nodegroups[self._root])
return tree
def __str__(self):
"""printable representation of the graph"""
res = '<TopologyGraph>\n'
res += '\n'.join(['%s: %s' % (str(k), str(v)) for k, v in \
self._nodegroups.iteritems()])
return res
def _routes_to_tng(self):
"""convert the routing table into a graph of TopologyNodeGroup
instances. Loops are not very expensive here as the number of routes
will always be much lower than the number of nodes.
"""
# instanciate nodegroups as biggest groups of nodes sharing both parent
# and destination
aggregated_src = self._routing.aggregated_src
for route in self._routing:
self._nodegroups[str(route.src)] = TopologyNodeGroup(route.src)
# create a nodegroup for the destination if it is a leaf group.
# Otherwise, it will be created as src for another route
leaf = route.dst - aggregated_src
if len(leaf) > 0:
self._nodegroups[str(leaf)] = TopologyNodeGroup(leaf)
# add the parent <--> children relationships
for group in self._nodegroups.itervalues():
dst_ns = self._routing.connected(group.nodeset)
if dst_ns is not None:
for child in self._nodegroups.itervalues():
if child.nodeset in dst_ns:
group.add_child(child)
def _validate(self, root):
"""ensure that the graph is valid for conversion to tree"""
if len(self._nodegroups) == 0:
raise TopologyError("No route found in topology definition!")
# ensure that every node is reachable
src_all = self._routing.aggregated_src
dst_all = self._routing.aggregated_dst
res = [(k, v) for k, v in self._nodegroups.items() if root in v.nodeset]
if len(res) > 0:
kgroup, group = res[0]
del self._nodegroups[kgroup]
self._nodegroups[root] = group
else:
raise TopologyError('"%s" is not a valid root node!' % root)
self._root = root
class TopologyParser(ConfigParser.ConfigParser):
"""This class offers a way to interpret network topologies supplied under
the form :
# Comment
<these machines> : <can reach these ones>
"""
def __init__(self, filename=None):
"""instance wide variables initialization"""
ConfigParser.ConfigParser.__init__(self)
self.optionxform = str # case sensitive parser
self._topology = {}
self.graph = None
self._tree = None
if filename:
self.load(filename)
def load(self, filename):
"""read a given topology configuration file and store the results in
self._routes. Then build a propagation tree.
"""
try:
self.read(filename)
if self.has_section("routes"):
self._topology = self.items("routes")
else:
# compat routes section [deprecated since v1.7]
self._topology = self.items("Main")
except ConfigParser.Error:
raise TopologyError(
'Invalid configuration file: %s' % filename)
self._build_graph()
def _build_graph(self):
"""build a network topology graph according to the information we got
from the configuration file.
"""
self.graph = TopologyGraph()
for src, dst in self._topology:
self.graph.add_route(NodeSet(src), NodeSet(dst))
def tree(self, root, force_rebuild=False):
"""Return a previously generated propagation tree or build it if
required. As rebuilding tree can be quite expensive, once built,
the propagation tree is cached. you can force a re-generation
using the optionnal `force_rebuild' parameter.
"""
if self._tree is None or force_rebuild:
self._tree = self.graph.to_tree(root)
return self._tree
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