def build_ip(anm):
import autonetkit.plugins.ipv4 as ip
G_ip = anm.add_overlay("ip")
G_in = anm['input']
G_graphics = anm['graphics']
G_phy = anm['phy']
G_ip.add_nodes_from(G_in)
G_ip.add_edges_from(G_in.edges(type="physical"))
ank.aggregate_nodes(G_ip, G_ip.nodes("is_switch"), retain = "edge_id")
edges_to_split = [edge for edge in G_ip.edges() if edge.attr_both("is_l3device")]
split_created_nodes = list(ank.split(G_ip, edges_to_split, retain='edge_id'))
for node in split_created_nodes:
node['graphics'].x = ank.neigh_average(G_ip, node, "x", G_graphics)
node['graphics'].y = ank.neigh_average(G_ip, node, "y", G_graphics)
G_ip.update(split_created_nodes, collision_domain=True)
for node in G_ip.nodes("collision_domain"):
graphics_node = G_graphics.node(node)
node.host = G_phy.node(node.neighbors().next()).host # Set host to be same as one of the neighbors (arbitrary choice)
asn = ank.neigh_most_frequent(G_ip, node, "asn", G_phy) # arbitrary choice
node.asn = asn
graphics_node.asn = asn
graphics_node.x = ank.neigh_average(G_ip, node, "x", G_graphics)
graphics_node.device_type = "collision_domain"
cd_label = "cd_" + "_".join(sorted(ank.neigh_attr(G_ip, node, "label", G_phy)))
node.label = cd_label
graphics_node.label = cd_label
ip.allocate_ips(G_ip)
def build_ipv4(anm, infrastructure=True):
"""Builds IPv4 graph"""
g_ipv4 = anm.add_overlay("ipv4")
g_in = anm['input']
g_graphics = anm['graphics']
g_phy = anm['phy']
g_ipv4.add_nodes_from(g_in)
g_ipv4.add_edges_from(g_in.edges(type="physical"))
ank_utils.aggregate_nodes(g_ipv4, g_ipv4.nodes("is_switch"),
retain="edge_id")
edges_to_split = [edge for edge in g_ipv4.edges() if edge.attr_both(
"is_l3device")]
split_created_nodes = list(
ank_utils.split(g_ipv4, edges_to_split, retain='edge_id'))
for node in split_created_nodes:
node['graphics'].x = ank_utils.neigh_average(g_ipv4, node, "x",
g_graphics) + 0.1 # temporary fix for gh-90
node['graphics'].y = ank_utils.neigh_average(g_ipv4, node, "y",
g_graphics) + 0.1 # temporary fix for gh-90
asn = ank_utils.neigh_most_frequent(
g_ipv4, node, "asn", g_phy) # arbitrary choice
node['graphics'].asn = asn
node.asn = asn # need to use asn in IP overlay for aggregating subnets
switch_nodes = g_ipv4.nodes("is_switch") # regenerate due to aggregated
g_ipv4.update(switch_nodes, collision_domain=True)
# switches are part of collision domain
g_ipv4.update(split_created_nodes, collision_domain=True)
# Assign collision domain to a host if all neighbours from same host
for node in split_created_nodes:
if ank_utils.neigh_equal(g_ipv4, node, "host", g_phy):
node.host = ank_utils.neigh_attr(
g_ipv4, node, "host", g_phy).next() # first attribute
# set collision domain IPs
for node in g_ipv4.nodes("collision_domain"):
graphics_node = g_graphics.node(node)
graphics_node.device_type = "collision_domain"
if not node.is_switch:
label = "_".join(
sorted(ank_utils.neigh_attr(g_ipv4, node, "label", g_phy)))
cd_label = "cd_%s" % label # switches keep their names
node.label = cd_label
node.cd_id = cd_label
graphics_node.label = cd_label
#TODO: need to set allocate_ipv4 by default in the readers
if g_in.data.allocate_ipv4 is False:
manual_ipv4_allocation(anm)
else:
import autonetkit.plugins.ipv4 as ipv4
ipv4.allocate_ips(g_ipv4, infrastructure)
ank_utils.save(g_ipv4)
def build_ip(anm):
g_ip = anm.add_overlay("ip")
g_in = anm['input']
g_graphics = anm['graphics']
g_phy = anm['phy']
g_ip.add_nodes_from(g_in)
g_ip.add_edges_from(g_in.edges(type="physical"))
ank_utils.aggregate_nodes(g_ip, g_ip.nodes("is_switch"), retain="edge_id")
edges_to_split = [
edge for edge in g_ip.edges() if edge.attr_both("is_l3device")
]
for edge in edges_to_split:
edge.split = True # mark as split for use in building nidb
split_created_nodes = list(
ank_utils.split(g_ip,
edges_to_split,
retain=['edge_id', 'split'],
id_prepend="cd"))
for node in split_created_nodes:
node['graphics'].x = ank_utils.neigh_average(
g_ip, node, "x", g_graphics) + 0.1 # temporary fix for gh-90
node['graphics'].y = ank_utils.neigh_average(
g_ip, node, "y", g_graphics) + 0.1 # temporary fix for gh-90
asn = ank_utils.neigh_most_frequent(g_ip, node, "asn",
g_phy) # arbitrary choice
node['graphics'].asn = asn
node.asn = asn # need to use asn in IP overlay for aggregating subnets
switch_nodes = g_ip.nodes("is_switch") # regenerate due to aggregated
g_ip.update(switch_nodes, collision_domain=True)
# switches are part of collision domain
g_ip.update(split_created_nodes, collision_domain=True)
# Assign collision domain to a host if all neighbours from same host
for node in split_created_nodes:
if ank_utils.neigh_equal(g_ip, node, "host", g_phy):
node.host = ank_utils.neigh_attr(g_ip, node, "host",
g_phy).next() # first attribute
# set collision domain IPs
for node in g_ip.nodes("collision_domain"):
graphics_node = g_graphics.node(node)
graphics_node.device_type = "collision_domain"
if not node.is_switch:
# use node sorting, as accomodates for numeric/string names
neighbors = sorted(neigh for neigh in node.neighbors())
label = "_".join(neigh.label for neigh in neighbors)
cd_label = "cd_%s" % label # switches keep their names
node.label = cd_label
node.cd_id = cd_label
graphics_node.label = cd_label
def build_ip(anm):
g_ip = anm.add_overlay("ip")
g_in = anm['input']
g_graphics = anm['graphics']
g_phy = anm['phy']
g_ip.add_nodes_from(g_in)
g_ip.add_edges_from(g_in.edges(type="physical"))
ank_utils.aggregate_nodes(g_ip, g_ip.nodes("is_switch"),
retain="edge_id")
edges_to_split = [edge for edge in g_ip.edges() if edge.attr_both(
"is_l3device")]
for edge in edges_to_split:
edge.split = True # mark as split for use in building nidb
split_created_nodes = list(
ank_utils.split(g_ip, edges_to_split,
retain=['edge_id', 'split'], id_prepend = "cd"))
for node in split_created_nodes:
node['graphics'].x = ank_utils.neigh_average(g_ip, node, "x",
g_graphics) + 0.1
# temporary fix for gh-90
node['graphics'].y = ank_utils.neigh_average(g_ip, node, "y",
g_graphics) + 0.1
# temporary fix for gh-90
asn = ank_utils.neigh_most_frequent(
g_ip, node, "asn", g_phy) # arbitrary choice
node['graphics'].asn = asn
node.asn = asn # need to use asn in IP overlay for aggregating subnets
switch_nodes = g_ip.nodes("is_switch") # regenerate due to aggregated
g_ip.update(switch_nodes, collision_domain=True)
# switches are part of collision domain
g_ip.update(split_created_nodes, collision_domain=True)
# Assign collision domain to a host if all neighbours from same host
for node in split_created_nodes:
if ank_utils.neigh_equal(g_ip, node, "host", g_phy):
node.host = ank_utils.neigh_attr(
g_ip, node, "host", g_phy).next() # first attribute
# set collision domain IPs
for node in g_ip.nodes("collision_domain"):
graphics_node = g_graphics.node(node)
graphics_node.device_type = "collision_domain"
if not node.is_switch:
# use node sorting, as accomodates for numeric/string names
neighbors = sorted(neigh for neigh in node.neighbors())
label = "_".join(neigh.label for neigh in neighbors)
cd_label = "cd_%s" % label # switches keep their names
node.label = cd_label
node.cd_id = cd_label
graphics_node.label = cd_label
def split_ptp(anm):
g_l1 = anm['layer1']
g_phy = anm['phy']
edges_to_split = [e for e in g_l1.edges()]
edges_to_split = [
e for e in edges_to_split if not (e.src.is_hub() or e.dst.is_hub())
]
# TODO: debug the edges to split
# print "edges to split", edges_to_split
for edge in edges_to_split:
edge.split = True # mark as split for use in building nidb
split_created_nodes = list(
ank_utils.split(g_l1,
edges_to_split,
retain=['split'],
id_prepend='cd_'))
for node in split_created_nodes:
node.device_type = "collision_domain"
node.collision_domain = True
# TODO: if parallel nodes, offset
# TODO: remove graphics, assign directly
g_graphics = anm['graphics']
if len(g_graphics):
co_ords_overlay = g_graphics # source from graphics overlay
else:
co_ords_overlay = g_phy # source from phy overlay
for node in split_created_nodes:
node['graphics'].x = ank_utils.neigh_average(g_l1, node, 'x',
co_ords_overlay) + 0.1
# temporary fix for gh-90
node['graphics'].y = ank_utils.neigh_average(g_l1, node, 'y',
co_ords_overlay) + 0.1
# temporary fix for gh-90
asn = ank_utils.neigh_most_frequent(g_l1, node, 'asn',
g_phy) # arbitrary choice
node['graphics'].asn = asn
node.asn = asn # need to use asn in IP overlay for aggregating subnets
def split_ptp(anm):
g_l1 = anm['layer1']
g_phy = anm['phy']
edges_to_split = [e for e in g_l1.edges()]
edges_to_split = [e for e in edges_to_split
if not (e.src.is_hub() or e.dst.is_hub())]
# TODO: debug the edges to split
# print "edges to split", edges_to_split
for edge in edges_to_split:
edge.split = True # mark as split for use in building nidb
split_created_nodes = list(ank_utils.split(g_l1, edges_to_split,
retain=['split'],
id_prepend='cd_'))
for node in split_created_nodes:
node.device_type = "collision_domain"
node.collision_domain = True
# TODO: if parallel nodes, offset
# TODO: remove graphics, assign directly
g_graphics = anm['graphics']
if len(g_graphics):
co_ords_overlay = g_graphics # source from graphics overlay
else:
co_ords_overlay = g_phy # source from phy overlay
for node in split_created_nodes:
node['graphics'].x = ank_utils.neigh_average(g_l1, node, 'x',
co_ords_overlay) + 0.1
# temporary fix for gh-90
node['graphics'].y = ank_utils.neigh_average(g_l1, node, 'y',
co_ords_overlay) + 0.1
# temporary fix for gh-90
asn = ank_utils.neigh_most_frequent(
g_l1, node, 'asn', g_phy) # arbitrary choice
node['graphics'].asn = asn
node.asn = asn # need to use asn in IP overlay for aggregating subnets
def build_ip(anm):
import autonetkit.plugins.ipv4 as ip
G_ip = anm.add_overlay("ip")
G_in = anm['input']
G_graphics = anm['graphics']
G_phy = anm['phy']
G_ip.add_nodes_from(G_in)
G_ip.add_edges_from(G_in.edges(type="physical"))
ank.aggregate_nodes(G_ip, G_ip.nodes("is_switch"), retain="edge_id")
edges_to_split = [
edge for edge in G_ip.edges() if edge.attr_both("is_l3device")
]
split_created_nodes = list(
ank.split(G_ip, edges_to_split, retain='edge_id'))
for node in split_created_nodes:
node['graphics'].x = ank.neigh_average(G_ip, node, "x", G_graphics)
node['graphics'].y = ank.neigh_average(G_ip, node, "y", G_graphics)
G_ip.update(split_created_nodes, collision_domain=True)
for node in G_ip.nodes("collision_domain"):
graphics_node = G_graphics.node(node)
node.host = G_phy.node(
node.neighbors().next()
).host # Set host to be same as one of the neighbors (arbitrary choice)
asn = ank.neigh_most_frequent(G_ip, node, "asn",
G_phy) # arbitrary choice
node.asn = asn
graphics_node.asn = asn
graphics_node.x = ank.neigh_average(G_ip, node, "x", G_graphics)
graphics_node.device_type = "collision_domain"
cd_label = "cd_" + "_".join(
sorted(ank.neigh_attr(G_ip, node, "label", G_phy)))
node.label = cd_label
graphics_node.label = cd_label
ip.allocate_ips(G_ip)
def build_layer2_broadcast(anm):
g_l2 = anm['layer2']
g_phy = anm['phy']
g_graphics = anm['graphics']
g_l2_bc = anm.add_overlay('layer2_bc')
g_l2_bc.add_nodes_from(g_l2.l3devices())
g_l2_bc.add_nodes_from(g_l2.switches())
g_l2_bc.add_edges_from(g_l2.edges(), retain=['link_type'])
# remove external connectors
edges_to_split = [edge for edge in g_l2_bc.edges()
if edge.src.is_l3device() and edge.dst.is_l3device()]
# TODO: debug the edges to split
for edge in edges_to_split:
edge.split = True # mark as split for use in building nidb
split_created_nodes = list(ank_utils.split(g_l2_bc, edges_to_split,
retain=['split'],
id_prepend='cd_'))
# TODO: if parallel nodes, offset
# TODO: remove graphics, assign directly
if len(g_graphics):
co_ords_overlay = g_graphics # source from graphics overlay
else:
co_ords_overlay = g_phy # source from phy overlay
for node in split_created_nodes:
node['graphics'].x = ank_utils.neigh_average(g_l2_bc, node, 'x',
co_ords_overlay) + 0.1
# temporary fix for gh-90
node['graphics'].y = ank_utils.neigh_average(g_l2_bc, node, 'y',
co_ords_overlay) + 0.1
# temporary fix for gh-90
asn = ank_utils.neigh_most_frequent(
g_l2_bc, node, 'asn', g_phy) # arbitrary choice
node['graphics'].asn = asn
node.asn = asn # need to use asn in IP overlay for aggregating subnets
# also allocate an ASN for virtual switches
vswitches = [n for n in g_l2_bc.nodes()
if n['layer2'].device_type == "switch"
and n['layer2'].device_subtype == "virtual"]
for node in vswitches:
# TODO: refactor neigh_most_frequent to allow fallthrough attributes
# asn = ank_utils.neigh_most_frequent(g_l2_bc, node, 'asn', g_l2) #
# arbitrary choice
asns = [n['layer2'].asn for n in node.neighbors()]
asns = [x for x in asns if x is not None]
asn = ank_utils.most_frequent(asns)
node.asn = asn # need to use asn in IP overlay for aggregating subnets
# also mark as broadcast domain
from collections import defaultdict
coincident_nodes = defaultdict(list)
for node in split_created_nodes:
coincident_nodes[(node['graphics'].x, node['graphics'].y)].append(node)
coincident_nodes = {k: v for k, v in coincident_nodes.items()
if len(v) > 1} # trim out single node co-ordinates
import math
for _, val in coincident_nodes.items():
for index, item in enumerate(val):
index = index + 1
x_offset = 25 * math.floor(index / 2) * math.pow(-1, index)
y_offset = -1 * 25 * math.floor(index / 2) * math.pow(-1, index)
item['graphics'].x = item['graphics'].x + x_offset
item['graphics'].y = item['graphics'].y + y_offset
switch_nodes = g_l2_bc.switches() # regenerate due to aggregated
g_l2_bc.update(switch_nodes, broadcast_domain=True)
# switches are part of collision domain
g_l2_bc.update(split_created_nodes, broadcast_domain=True)
# Assign collision domain to a host if all neighbours from same host
for node in split_created_nodes:
if ank_utils.neigh_equal(g_l2_bc, node, 'host', g_phy):
node.host = ank_utils.neigh_attr(g_l2_bc, node, 'host',
g_phy).next() # first attribute
# set collision domain IPs
# TODO; work out why this throws a json exception
#autonetkit.ank.set_node_default(g_l2_bc, broadcast_domain=False)
for node in g_l2_bc.nodes('broadcast_domain'):
graphics_node = g_graphics.node(node)
#graphics_node.device_type = 'broadcast_domain'
if node.is_switch():
# TODO: check not virtual
node['phy'].broadcast_domain = True
if not node.is_switch():
# use node sorting, as accomodates for numeric/string names
graphics_node.device_type = 'broadcast_domain'
neighbors = sorted(neigh for neigh in node.neighbors())
label = '_'.join(neigh.label for neigh in neighbors)
cd_label = 'cd_%s' % label # switches keep their names
node.label = cd_label
graphics_node.label = cd_label
node.device_type = "broadcast_domain"
node.label = node.id
graphics_node.label = node.id
for node in vswitches:
node.broadcast_domain = True
def build_ip(anm):
#TODO: use the l3_conn graph
g_ip = anm.add_overlay('ip')
g_in = anm['input']
g_graphics = anm['graphics']
g_phy = anm['phy']
#TODO: add these from layer2 graph - and scrap g_ip: clone g_layer2 to g_ipv4 and g_ipv6
g_ip.add_nodes_from(g_phy)
g_ip.add_edges_from(g_phy.edges())
ank_utils.aggregate_nodes(g_ip, g_ip.switches())
edges_to_split = [
edge for edge in g_ip.edges()
if edge.src.is_l3device() and edge.dst.is_l3device()
]
for edge in edges_to_split:
edge.split = True # mark as split for use in building nidb
split_created_nodes = list(
ank_utils.split(g_ip,
edges_to_split,
retain=['split'],
id_prepend='cd'))
for node in split_created_nodes:
node['graphics'].x = ank_utils.neigh_average(g_ip, node, 'x',
g_graphics) + 0.1
# temporary fix for gh-90
node['graphics'].y = ank_utils.neigh_average(g_ip, node, 'y',
g_graphics) + 0.1
# temporary fix for gh-90
asn = ank_utils.neigh_most_frequent(g_ip, node, 'asn',
g_phy) # arbitrary choice
node['graphics'].asn = asn
node.asn = asn # need to use asn in IP overlay for aggregating subnets
switch_nodes = g_ip.switches() # regenerate due to aggregated
g_ip.update(switch_nodes, broadcast_domain=True)
# switches are part of collision domain
g_ip.update(split_created_nodes, broadcast_domain=True)
# Assign collision domain to a host if all neighbours from same host
for node in split_created_nodes:
if ank_utils.neigh_equal(g_ip, node, 'host', g_phy):
node.host = ank_utils.neigh_attr(g_ip, node, 'host',
g_phy).next() # first attribute
# set collision domain IPs
#TODO; work out why this throws a json exception
#autonetkit.ank.set_node_default(g_ip, broadcast_domain=False)
for node in g_ip.nodes('broadcast_domain'):
graphics_node = g_graphics.node(node)
#graphics_node.device_type = 'broadcast_domain'
if node.is_switch():
node['phy'].broadcast_domain = True
if not node.is_switch():
# use node sorting, as accomodates for numeric/string names
graphics_node.device_type = 'broadcast_domain'
neighbors = sorted(neigh for neigh in node.neighbors())
label = '_'.join(neigh.label for neigh in neighbors)
cd_label = 'cd_%s' % label # switches keep their names
node.label = cd_label
node.cd_id = cd_label
graphics_node.label = cd_label
node.device_type = "broadcast_domain"
def build_layer2_broadcast(anm):
g_l2 = anm['layer2']
g_phy = anm['phy']
g_graphics = anm['graphics']
g_l2_bc = anm.add_overlay('layer2_bc')
g_l2_bc.add_nodes_from(g_l2)
g_l2_bc.add_edges_from(g_l2.edges())
edges_to_split = [edge for edge in g_l2_bc.edges()
if edge.src.is_l3device() and edge.dst.is_l3device()]
for edge in edges_to_split:
edge.split = True # mark as split for use in building nidb
split_created_nodes = list(ank_utils.split(g_l2_bc, edges_to_split,
retain=['split'],
id_prepend='cd_'))
for node in split_created_nodes:
node['graphics'].x = ank_utils.neigh_average(g_l2_bc, node, 'x',
g_graphics) + 0.1
# temporary fix for gh-90
node['graphics'].y = ank_utils.neigh_average(g_l2_bc, node, 'y',
g_graphics) + 0.1
# temporary fix for gh-90
asn = ank_utils.neigh_most_frequent(g_l2_bc, node, 'asn', g_phy) # arbitrary choice
node['graphics'].asn = asn
node.asn = asn # need to use asn in IP overlay for aggregating subnets
switch_nodes = g_l2_bc.switches() # regenerate due to aggregated
g_l2_bc.update(switch_nodes, broadcast_domain=True)
# switches are part of collision domain
g_l2_bc.update(split_created_nodes, broadcast_domain=True)
# Assign collision domain to a host if all neighbours from same host
for node in split_created_nodes:
if ank_utils.neigh_equal(g_l2_bc, node, 'host', g_phy):
node.host = ank_utils.neigh_attr(g_l2_bc, node, 'host',
g_phy).next() # first attribute
# set collision domain IPs
#TODO; work out why this throws a json exception
#autonetkit.ank.set_node_default(g_l2_bc, broadcast_domain=False)
for node in g_l2_bc.nodes('broadcast_domain'):
graphics_node = g_graphics.node(node)
#graphics_node.device_type = 'broadcast_domain'
if node.is_switch():
node['phy'].broadcast_domain = True
if not node.is_switch():
# use node sorting, as accomodates for numeric/string names
graphics_node.device_type = 'broadcast_domain'
neighbors = sorted(neigh for neigh in node.neighbors())
label = '_'.join(neigh.label for neigh in neighbors)
cd_label = 'cd_%s' % label # switches keep their names
node.label = cd_label
graphics_node.label = cd_label
node.device_type = "broadcast_domain"
def build_layer2_broadcast(anm):
g_l2 = anm['layer2']
g_phy = anm['phy']
g_graphics = anm['graphics']
g_l2_bc = anm.add_overlay('layer2_bc')
g_l2_bc.add_nodes_from(g_l2.l3devices())
g_l2_bc.add_nodes_from(g_l2.switches())
g_l2_bc.add_edges_from(g_l2.edges())
# remove external connectors
edges_to_split = [
edge for edge in g_l2_bc.edges()
if edge.src.is_l3device() and edge.dst.is_l3device()
]
#TODO: debug the edges to split
#print "edges to split", edges_to_split
for edge in edges_to_split:
edge.split = True # mark as split for use in building nidb
split_created_nodes = list(
ank_utils.split(g_l2_bc,
edges_to_split,
retain=['split'],
id_prepend='cd_'))
#TODO: if parallel nodes, offset
#TODO: remove graphics, assign directly
for node in split_created_nodes:
node['graphics'].x = ank_utils.neigh_average(g_l2_bc, node, 'x',
g_graphics) + 0.1
# temporary fix for gh-90
node['graphics'].y = ank_utils.neigh_average(g_l2_bc, node, 'y',
g_graphics) + 0.1
# temporary fix for gh-90
asn = ank_utils.neigh_most_frequent(g_l2_bc, node, 'asn',
g_phy) # arbitrary choice
node['graphics'].asn = asn
node.asn = asn # need to use asn in IP overlay for aggregating subnets
from collections import defaultdict
coincident_nodes = defaultdict(list)
for node in split_created_nodes:
coincident_nodes[(node['graphics'].x, node['graphics'].y)].append(node)
coincident_nodes = {
k: v
for k, v in coincident_nodes.items() if len(v) > 1
} # trim out single node co-ordinates
import math
for key, val in coincident_nodes.items():
for index, item in enumerate(val):
index = index + 1
x_offset = 25 * math.floor(index / 2) * math.pow(-1, index)
y_offset = -1 * 25 * math.floor(index / 2) * math.pow(-1, index)
item['graphics'].x = item['graphics'].x + x_offset
item['graphics'].y = item['graphics'].y + y_offset
switch_nodes = g_l2_bc.switches() # regenerate due to aggregated
g_l2_bc.update(switch_nodes, broadcast_domain=True)
# switches are part of collision domain
g_l2_bc.update(split_created_nodes, broadcast_domain=True)
# Assign collision domain to a host if all neighbours from same host
for node in split_created_nodes:
if ank_utils.neigh_equal(g_l2_bc, node, 'host', g_phy):
node.host = ank_utils.neigh_attr(g_l2_bc, node, 'host',
g_phy).next() # first attribute
# set collision domain IPs
#TODO; work out why this throws a json exception
#autonetkit.ank.set_node_default(g_l2_bc, broadcast_domain=False)
for node in g_l2_bc.nodes('broadcast_domain'):
graphics_node = g_graphics.node(node)
#graphics_node.device_type = 'broadcast_domain'
if node.is_switch():
node['phy'].broadcast_domain = True
if not node.is_switch():
# use node sorting, as accomodates for numeric/string names
graphics_node.device_type = 'broadcast_domain'
neighbors = sorted(neigh for neigh in node.neighbors())
label = '_'.join(neigh.label for neigh in neighbors)
cd_label = 'cd_%s' % label # switches keep their names
node.label = cd_label
graphics_node.label = cd_label
node.device_type = "broadcast_domain"
node.label = node.id
graphics_node.label = node.id
def build_ip(anm):
import autonetkit.plugins.ip as ip
G_ip = anm.add_overlay("ip")
G_in = anm['input']
G_graphics = anm['graphics']
G_phy = anm['phy']
G_ip.add_nodes_from(G_in)
G_ip.add_edges_from(G_in.edges(type="physical"))
#TODO: need to look at if allocate_v6 is specified: ie manually set
ank.aggregate_nodes(G_ip, G_ip.nodes("is_switch"), retain = "edge_id")
#TODO: add function to update edge properties: can overload node update?
edges_to_split = [edge for edge in G_ip.edges() if edge.attr_both("is_l3device")]
split_created_nodes = list(ank.split(G_ip, edges_to_split, retain='edge_id'))
for node in split_created_nodes:
node['graphics'].x = ank.neigh_average(G_ip, node, "x", G_graphics)
node['graphics'].y = ank.neigh_average(G_ip, node, "y", G_graphics)
asn = ank.neigh_most_frequent(G_ip, node, "asn", G_phy) # arbitrary choice
node['graphics'].asn = asn
# need to use asn in IP overlay for aggregating subnets
node.asn = asn
#TODO: could choose largest ASN if tie break
#TODO: see if need G_phy - should auto fall through to phy for ASN
switch_nodes = G_ip.nodes("is_switch")# regenerate due to aggregated
G_ip.update(switch_nodes, collision_domain=True) # switches are part of collision domain
G_ip.update(split_created_nodes, collision_domain=True)
# Assign collision domain to a host if all neighbours from same host
for node in split_created_nodes:
if ank.neigh_equal(G_ip, node, "host", G_phy):
node.host = ank.neigh_attr(G_ip, node, "host", G_phy).next() # first attribute
#TODO: Need to allocate interfaces or appropriate bypass for collision domain nodes
# set collision domain IPs
#TODO: trim next line
collision_domain_id = itertools.count(0) # TODO: remove this, as isn't needed as set id to be based on neighbors
for node in G_ip.nodes("collision_domain"):
graphics_node = G_graphics.node(node)
graphics_node.device_type = "collision_domain"
cd_id = collision_domain_id.next()
node.cd_id = cd_id
#TODO: Use this label
if not node.is_switch:
label = "_".join(sorted(ank.neigh_attr(G_ip, node, "label", G_phy)))
cd_label = "cd_%s" % label # switches keep their names
node.label = cd_label
node.cd_id = cd_label
graphics_node.label = cd_label
if G_in.data.allocate_ipv4 == False:
import netaddr
G_in_directed = anm['input_directed']
for l3_device in G_ip.nodes("is_l3device"):
directed_node = G_in_directed.node(l3_device)
l3_device.loopback = directed_node.ipv4loopback
for edge in l3_device.edges():
# find edge in G_in_directed
directed_edge = G_in_directed.edge(edge)
edge.ip_address = netaddr.IPAddress(directed_edge.ipv4)
# set subnet onto collision domain (can come from either direction)
collision_domain = edge.dst
if not collision_domain.subnet:
#TODO: see if direct method in netaddr to deduce network
prefixlen = directed_edge.netPrefixLenV4
cidr_string = "%s/%s" % (edge.ip_address, prefixlen)
intermediate_subnet = netaddr.IPNetwork(cidr_string)
cidr_string = "%s/%s" % (intermediate_subnet.network, prefixlen)
subnet = netaddr.IPNetwork(cidr_string)
collision_domain.subnet = subnet
# also need to form aggregated IP blocks (used for e.g. routing prefix advertisement)
loopback_blocks = {}
infra_blocks = {}
for asn, devices in G_ip.groupby("asn").items():
routers = [d for d in devices if d.is_router]
loopbacks = [r.loopback for r in routers]
loopback_blocks[asn] = netaddr.cidr_merge(loopbacks)
collision_domains = [d for d in devices if d.collision_domain]
subnets = [cd.subnet for cd in collision_domains]
infra_blocks[asn] = netaddr.cidr_merge(subnets)
G_ip.data.loopback_blocks = loopback_blocks
G_ip.data.infra_blocks = infra_blocks
else:
ip.allocate_ips(G_ip)
ank.save(G_ip)
