def initialize_ecmp_deps(self):
"""Initialize ECMP dependencies"""
for n, node in map(
lambda x: (x[0], self.node(x[0])),
filter(lambda x: x[1] > 1, self.dag.out_degree_iter())):
if node.has_any_fake_node():
log.debug('%s does ECMP and has a fake node', n)
self.ecmp[n].add(n)
else:
f = []
paths = self._p.default_path(n, self.dest)
for p in paths:
# Try to find the first fake node for each path
for h in p[:-1]:
if self.node(h).has_any_fake_node():
f.add(h)
break
if len(f) > 0 and len(f) < len(paths):
log.warning(
'%s does ECMP and has less downstream fake '
'nodes than paths (%s < %s), forcing it to '
'have a fake node.', n, len(f), len(paths))
node.fake_type = Node.GLOBAL
elif f:
log.debug('Registering ECMP depencies on %s: %s', n, f)
for fake in f:
self.ecmp[fake].add(f)
def __read_private_ips(self, filename):
router_private_address = defaultdict(dict)
ip_to_bd = defaultdict(list)
try:
with open(filename, 'r') as f:
private_address_binding = json.load(f)
for subnets in private_address_binding.itervalues():
# Log router id in broadcast domain
sub = subnets.keys()
for rid, ip in subnets.iteritems():
# Enable single private address as string
if not is_container(ip):
ip = [ip]
# Log private addresses adjacencies
other = sub[:]
other.remove(rid)
for s in other:
router_private_address[rid][s] = ip
for i in ip:
# Register the broadcast domain for each ip
ip_to_bd[i] = other
except ValueError as e:
log.error('Incorrect private IP addresses binding file')
log.error(str(e))
ip_to_bd.clear()
router_private_address.clear()
except IOError as e:
log.warning('Cannot read private address file')
ip_to_bd.clear()
router_private_address.clear()
return router_private_address, ip_to_bd
def initialize_ecmp_deps(self):
"""Initialize ECMP dependencies"""
for n, node in map(lambda x: (x[0], self.node(x[0])),
filter(lambda x: x[1] > 1,
self.dag.out_degree_iter())):
if node.has_any_fake_node():
log.debug('%s does ECMP and has a fake node', n)
self.ecmp[n].add(n)
else:
f = []
paths = self._p.default_path(n, self.dest)
for p in paths:
# Try to find the first fake node for each path
for h in p[:-1]:
if self.node(h).has_any_fake_node():
f.add(h)
break
if len(f) > 0 and len(f) < len(paths):
log.warning('%s does ECMP and has less downstream fake '
'nodes than paths (%s < %s), forcing it to '
'have a fake node.', n, len(f), len(paths))
node.fake_type = Node.GLOBAL
elif f:
log.debug('Registering ECMP depencies on %s: %s', n, f)
for fake in f:
self.ecmp[fake].add(f)
def _get_proxy_routes(self, points):
for prefix, parts in groupby(sorted(points, key=itemgetter(3)),
key=itemgetter(3)):
route = []
for p in parts:
src, dst, cost = p[0], p[1], p[2]
if cost >= 0:
src = None
fwd_addr = self.root.get_fwd_address(src, dst)
# Can have multiple private addresses per interface, handle
# here the selection ...
if isinstance(fwd_addr, list):
try:
fwd_addr = fwd_addr[cost]
except IndexError:
log.warning('Required private forwarding address index'
' is out of bounds. Wanted index %s '
'- Have %s elements.',
abs(cost), len(fwd_addr))
fwd_addr = fwd_addr[0]
cost = 1
try:
fwd_addr = str(ip_interface(fwd_addr).ip)
except ValueError:
log.debug('Forwarding address for %s-%s has no netmask: %s',
src, dst, fwd_addr)
route.append((fwd_addr, str(cost)))
yield prefix, route
def testWeird(self):
log.warning('Testing Weird')
self._test(self.gadgets.weird,
{'3_8': nx.DiGraph([('D', 'C'),
('C', 'B'),
('B', 'A')])},
2)
def testTrapezoid(self):
log.warning('Testing Trapezoid')
self._test(self.gadgets.trap,
{'1_8': nx.DiGraph([('R1', 'R2'),
('R2', 'E2'),
('E2', 'D')])},
1)
def testSquareWithThreeConsecutiveChanges(self):
log.warning('Testing SquareWithThreeConsecutiveChanges')
self._test(
self.gadgets.square, {
'3_8':
IGPGraph([('D2', 'B1'), ('B1', 'T1'), ('T1', 'T2'),
('T2', 'B2'), ('B2', 'D1')])
}, 3)
def testDiamond(self):
log.warning('Testing Diamond')
self._test(
self.gadgets.diamond, {
'3_8':
IGPGraph([('A', 'Y1'), ('A', 'Y2'), ('Y2', 'X'), ('Y1', 'X'),
('X', 'D'), ('O', 'D')])
}, 2)
def testPaperGadget(self):
log.warning('Testing PaperGadget')
self._test(
self.gadgets.paper_gadget, {
'3_8':
IGPGraph([('H1', 'X'), ('H2', 'X'), ('H3', 'X'), ('X', 'Y'),
('A1', 'Y'), ('A2', 'Y')])
}, 1)
def remove_lsa(self, *lsas):
"""Instructs the southbound controller to remove LSAs"""
lsas = list(lsas)
if lsas:
self.quagga_manager.remove(lsas)
self.advertized_lsa.difference_update(lsas)
else:
log.warning('Tried to remove an empty list of LSA')
def advertize_lsa(self, *lsas):
"""Instructs the southbound controller to announce LSAs"""
lsas = list(lsas)
if lsas:
self.quagga_manager.add(lsas)
self.advertized_lsa.update(lsas)
else:
log.warning('Tried to advertize an empty list of LSA')
def remove_lsa(self, *lsas):
"""Instructs the southbound controller to remove LSAs"""
lsas = list(lsas)
if lsas:
self.quagga_manager.remove(lsas)
self.advertized_lsa.difference_update(lsas)
else:
log.warning('Tried to remove an empty list of LSA')
def advertize_lsa(self, *lsas):
"""Instructs the southbound controller to announce LSAs"""
lsas = list(lsas)
if lsas:
self.quagga_manager.add(lsas)
self.advertized_lsa.update(lsas)
else:
log.warning('Tried to advertize an empty list of LSA')
def testDoubleDiamond(self):
log.warning('Testing DoubleDiamond')
self._test(
self.gadgets.ddiamond, {
'1_8':
IGPGraph([('H1', 'Y1'), ('H1', 'Y2'), ('Y1', 'X'), ('Y2', 'X'),
('H2', 'X'), ('X', 'D')])
}, 3)
def testParallel(self):
log.warning('Testing Parallel')
self._test(
self.gadgets.parallel, {
'3_8':
IGPGraph([('A2', 'B2'), ('B2', 'C2'), ('C2', 'D2'),
('D2', 'D1'), ('D1', 'C1'), ('C1', 'B1'),
('B1', 'A1'), ('A1', 'D')])
}, 4)
def testSquareWithThreeConsecutiveChanges(self):
log.warning('Testing SquareWithThreeConsecutiveChanges')
self._test(self.gadgets.square,
{'3_8': nx.DiGraph([('D2', 'B1'),
('B1', 'T1'),
('T1', 'T2'),
('T2', 'B2'),
('B2', 'D1')])},
3)
def testSquareWithThreeConsecutiveChangesAndMultipleRequirements(self):
log.warning('Testing SquareWithThreeConsecutiveChanges'
'AndMultipleRequirements')
dag = IGPGraph([('D2', 'B1'), ('B1', 'T1'), ('T1', 'T2'), ('T2', 'B2'),
('B2', 'D1')])
self._test(self.gadgets.square, {
'3_8': dag,
'8_3': dag.reverse(copy=True)
}, 5)
def testDiamond(self):
log.warning('Testing Diamond')
self._test(self.gadgets.diamond,
{'3_8': nx.DiGraph([('A', 'Y1'),
('A', 'Y2'),
('Y2', 'X'),
('Y1', 'X'),
('X', 'D'),
('O', 'D')])},
2)
def testPaperGadget(self):
log.warning('Testing PaperGadget')
self._test(self.gadgets.paper_gadget,
{'3_8': nx.DiGraph([('H1', 'X'),
('H2', 'X'),
('H3', 'X'),
('X', 'Y'),
('A1', 'Y'),
('A2', 'Y')])},
1)
def testDoubleDiamond(self):
log.warning('Testing DoubleDiamond')
self._test(self.gadgets.ddiamond,
{'1_8': nx.DiGraph([('H1', 'Y1'),
('H1', 'Y2'),
('Y1', 'X'),
('Y2', 'X'),
('H2', 'X'),
('X', 'D')])},
3)
def testTrapezoidWithEcmp(self):
log.warning('Testing TrapezoidWithEcmp')
self._test(self.gadgets.trap,
{'2_8': nx.DiGraph([('R1', 'R2'),
('R2', 'E2'),
('E2', 'D'),
# ECMP on E1
('E1', 'D'),
('E1', 'R1')])},
3)
def testSquareWithThreeConsecutiveChangesAndMultipleRequirements(self):
log.warning('Testing SquareWithThreeConsecutiveChanges'
'AndMultipleRequirements')
dag = nx.DiGraph([('D2', 'B1'),
('B1', 'T1'),
('T1', 'T2'),
('T2', 'B2'),
('B2', 'D1')])
self._test(self.gadgets.square,
{'3_8': dag, '8_3': dag.reverse(copy=True)},
5)
def testParallel(self):
log.warning('Testing Parallel')
self._test(self.gadgets.parallel,
{'3_8': nx.DiGraph([('A2', 'B2'),
('B2', 'C2'),
('C2', 'D2'),
('D2', 'D1'),
('D1', 'C1'),
('C1', 'B1'),
('B1', 'A1'),
('A1', 'D')])},
4)
def solve(self, topo, requirement_dags):
# a list of tuples with info on the node to be attracted,
# the forwarding address, the cost to be set in the fake LSA,
# and the respective destinations
self.fake_ospf_lsas = []
self.reqs = requirement_dags
self.igp_graph = topo
self.igp_paths = ShortestPath(self.igp_graph)
# process input forwarding DAGs, one at the time
for dest, dag in requirement_dags.iteritems():
log.info('Solving DAG for dest %s', dest)
self.dest, self.dag = dest, dag
log.debug('Checking dest in dag')
ssu.add_dest_to_graph(dest, dag)
log.debug('Checking dest in igp graph')
ssu.add_dest_to_graph(dest,
topo,
edges_src=dag.predecessors,
spt=self.igp_paths,
metric=self.new_edge_metric)
ssu.complete_dag(dag,
topo,
dest,
self.igp_paths,
skip=self.reqs.keys())
# Add temporarily the destination to the igp graph and/or req dags
if not ssu.solvable(dag, topo):
log.warning('Skipping requirement for dest: %s', dest)
continue
for node in dag:
nhs = self.nhs_for(node, dest, dag)
if not nhs:
continue
for req_nh in nhs:
log.debug('Placing a fake node for %s->%s', node, req_nh)
for i in xrange(get_edge_multiplicity(dag, node, req_nh)):
self.fake_ospf_lsas.append(
ssu.LSA(node=node,
nh=req_nh,
cost=(-1 - i),
dest=dest))
# Check whether we need to include one more fake node to handle
# the case where we create a new route from scratch.
for p in dag.predecessors_iter(dest):
if not is_fake(topo, p, dest):
continue
log.debug(
'%s is a terminal node towards %s but had no prior '
'route to it! Adding a synthetic route', p, dest)
self.fake_ospf_lsas.append(
ssu.GlobalLie(dest, self.new_edge_metric, p))
return self.fake_ospf_lsas
def solve(self, graph, requirements):
"""Compute the augmented topology for a given graph and a set of
requirements.
:type graph: IGPGraph
:type requirements: { dest: IGPGraph }
:param requirements: the set of requirement DAG on a per dest. basis
:return: list of fake LSAs"""
self.reqs = requirements
log.info('Preparing IGP graph')
self.g = prepare_graph(graph, requirements)
log.info('Computing SPT')
self._p = ShortestPath(graph)
lsa = []
for dest, dag in requirements.iteritems():
self.dest, self.dag = dest, dag
self.ecmp.clear()
log.info('Evaluating requirement %s', dest)
log.info('Ensuring the consistency of the DAG')
self.check_dest()
ssu.complete_dag(self.dag,
self.g,
self.dest,
self._p,
skip=self.reqs.keys())
log.info('Computing original and required next-hop sets')
for n, node in self.nodes():
node.forced_nhs = set(self.dag.successors(n))
node.original_nhs = set(
[p[1] for p in self._p.default_path(n, self.dest)])
if not ssu.solvable(self.dag, self.g):
log.warning('Consistency check failed, skipping %s', dest)
continue
log.info('Placing initial fake nodes')
self.place_fake_nodes()
log.info('Initializing fake nodes')
self.initialize_fake_nodes()
log.info('Propagating initial lower bounds')
self.propagate_lb()
log.debug('Fake node bounds: %s',
[n for _, n in self.nodes() if n.has_any_fake_node()])
log.info('Reducing the augmented topology')
self.merge_fake_nodes()
self.remove_redundant_fake_nodes()
log.info('Generating LSAs')
lsas = self.create_fake_lsa()
log.info('Solved the DAG for destination %s with LSA set: %s',
self.dest, lsas)
lsa.extend(lsas)
return lsa
def testTrapezoidWithEcmp(self):
log.warning('Testing TrapezoidWithEcmp')
self._test(
self.gadgets.trap,
{
'2_8':
IGPGraph([
('R1', 'R2'),
('R2', 'E2'),
('E2', 'D'),
# ECMP on E1
('E1', 'D'),
('E1', 'R1')
])
},
3)
def solve(self, graph, requirements):
"""Compute the augmented topology for a given graph and a set of
requirements.
:type graph: IGPGraph
:type requirements: { dest: IGPGraph }
:param requirements: the set of requirement DAG on a per dest. basis
:return: list of fake LSAs"""
self.reqs = requirements
log.info('Preparing IGP graph')
self.g = prepare_graph(graph, requirements)
log.info('Computing SPT')
self._p = ShortestPath(graph)
lsa = []
for dest, dag in requirements.iteritems():
self.dest, self.dag = dest, dag
self.ecmp.clear()
log.info('Evaluating requirement %s', dest)
log.info('Ensuring the consistency of the DAG')
self.check_dest()
ssu.complete_dag(self.dag, self.g, self.dest, self._p,
skip=self.reqs.keys())
log.info('Computing original and required next-hop sets')
for n, node in self.nodes():
node.forced_nhs = set(self.dag.successors(n))
node.original_nhs = set([p[1] for p in
self._p.default_path(n, self.dest)])
if not ssu.solvable(self.dag, self.g):
log.warning('Consistency check failed, skipping %s', dest)
continue
log.info('Placing initial fake nodes')
self.place_fake_nodes()
log.info('Initializing fake nodes')
self.initialize_fake_nodes()
log.info('Propagating initial lower bounds')
self.propagate_lb()
log.debug('Fake node bounds: %s',
[n for _, n in self.nodes() if n.has_any_fake_node()])
log.info('Reducing the augmented topology')
self.merge_fake_nodes()
self.remove_redundant_fake_nodes()
log.info('Generating LSAs')
lsas = self.create_fake_lsa()
log.info('Solved the DAG for destination %s with LSA set: %s',
self.dest, lsas)
lsa.extend(lsas)
return lsa
def create_fake_lsa(self):
lsa = []
for n in self.dag:
if n == self.dest:
continue
node = self.node(n)
for nh in node.forced_nhs:
if nh == self.dest:
log.warning('Ignoring LSA towards nh == dest ?!?')
continue
log.debug('Creating LSA for %s -> %s', n, nh)
lsa.append(ssu.LSA(node=n,
nh=nh,
cost=node.lb + 1
if node.fake == Node.GLOBAL else -1,
dest=self.dest))
return lsa
def solve(self, topo, requirement_dags):
# a list of tuples with info on the node to be attracted,
# the forwarding address, the cost to be set in the fake LSA,
# and the respective destinations
self.fake_ospf_lsas = []
self.reqs = requirement_dags
self.igp_graph = topo
self.igp_paths = ShortestPath(self.igp_graph)
# process input forwarding DAGs, one at the time
for dest, dag in requirement_dags.iteritems():
log.info('Solving DAG for dest %s', dest)
self.dest, self.dag = dest, dag
log.debug('Checking dest in dag')
ssu.add_dest_to_graph(dest, dag)
log.debug('Checking dest in igp graph')
ssu.add_dest_to_graph(dest, topo,
edges_src=dag.predecessors,
spt=self.igp_paths,
metric=self.new_edge_metric)
ssu.complete_dag(dag, topo, dest, self.igp_paths,
skip=self.reqs.keys())
# Add temporarily the destination to the igp graph and/or req dags
if not ssu.solvable(dag, topo):
log.warning('Skipping requirement for dest: %s', dest)
continue
for node in dag:
nhs = self.nhs_for(node, dest, dag)
if not nhs:
continue
for req_nh in nhs:
log.debug('Placing a fake node for %s->%s', node, req_nh)
for i in xrange(get_edge_multiplicity(dag, node, req_nh)):
self.fake_ospf_lsas.append(ssu.LSA(node=node,
nh=req_nh,
cost=(-1 - i),
dest=dest))
# Check whether we need to include one more fake node to handle
# the case where we create a new route from scratch.
for p in dag.predecessors_iter(dest):
if not is_fake(topo, p, dest):
continue
log.debug('%s is a terminal node towards %s but had no prior '
'route to it! Adding a synthetic route', p, dest)
self.fake_ospf_lsas.append(
ssu.GlobalLie(dest, self.new_edge_metric, p))
return self.fake_ospf_lsas
def create_fake_lsa(self):
lsa = []
for n in self.dag:
if n == self.dest:
continue
node = self.node(n)
for nh in node.forced_nhs:
if nh == self.dest:
log.warning('Ignoring LSA towards nh == dest ?!?')
continue
log.debug('Creating LSA for %s -> %s', n, nh)
lsa.append(
ssu.LSA(node=n,
nh=nh,
cost=node.lb +
1 if node.fake == Node.GLOBAL else -1,
dest=self.dest))
return lsa
def solve(self, topo, requirement_dags):
# a list of tuples with info on the node to be attracted,
# the forwarding address, the cost to be set in the fake LSA,
# and the respective destinations
self.fake_ospf_lsas = []
self.reqs = requirement_dags
self.igp_graph = topo
self.igp_paths = ShortestPath(self.igp_graph)
log.debug('Original SPT: %s', self.igp_paths)
# process input forwarding DAGs, one at the time
for dest, dag in requirement_dags.iteritems():
log.debug('Solving DAG for dest %s', dest)
self.dest, self.dag = dest, dag
log.debug('Checking dest in dag')
ssu.add_dest_to_graph(dest, dag)
log.debug('Checking dest in igp graph')
ssu.add_dest_to_graph(dest,
topo,
edges_src=dag.predecessors,
spt=self.igp_paths,
metric=self.new_edge_metric)
ssu.complete_dag(dag,
topo,
dest,
self.igp_paths,
skip=self.reqs.keys())
# Add temporarily the destination to the igp graph and/or req dags
if not ssu.solvable(dag, topo):
log.warning('Skipping requirement for dest: %s', dest)
continue
for node in nx.topological_sort(dag, reverse=True)[1:]:
nhs, original_nhs = self.nhs_for(node, dag, dest)
if not self.require_fake_node(nhs, original_nhs):
log.debug('%s does not require a fake node (%s - %s)',
node, nhs, original_nhs)
continue
for req_nh in nhs:
log.debug('Placing a fake node for nh %s', req_nh)
self.fake_ospf_lsas.append(
ssu.LSA(node=node, nh=req_nh, cost=-1, dest=dest))
return self.fake_ospf_lsas
def solve(self, topo, requirement_dags):
# a list of tuples with info on the node to be attracted,
# the forwarding address, the cost to be set in the fake LSA,
# and the respective destinations
self.fake_ospf_lsas = []
self.reqs = requirement_dags
self.igp_graph = topo
self.igp_paths = ShortestPath(self.igp_graph)
log.debug('Original SPT: %s', self.igp_paths)
# process input forwarding DAGs, one at the time
for dest, dag in requirement_dags.iteritems():
log.debug('Solving DAG for dest %s', dest)
self.dest, self.dag = dest, dag
log.debug('Checking dest in dag')
ssu.add_dest_to_graph(dest, dag)
log.debug('Checking dest in igp graph')
ssu.add_dest_to_graph(dest, topo,
edges_src=dag.predecessors,
spt=self.igp_paths,
metric=self.new_edge_metric)
ssu.complete_dag(dag, topo, dest, self.igp_paths,
skip=self.reqs.keys())
# Add temporarily the destination to the igp graph and/or req dags
if not ssu.solvable(dag, topo):
log.warning('Skipping requirement for dest: %s', dest)
continue
for node in nx.topological_sort(dag, reverse=True)[1:]:
nhs, original_nhs = self.nhs_for(node, dag, dest)
if not self.require_fake_node(nhs, original_nhs):
log.debug('%s does not require a fake node (%s - %s)',
node, nhs, original_nhs)
continue
for req_nh in nhs:
log.debug('Placing a fake node for nh %s', req_nh)
self.fake_ospf_lsas.append(ssu.LSA(node=node,
nh=req_nh,
cost=-1,
dest=dest))
return self.fake_ospf_lsas
def __init__(self):
self.BASE_NET = ip_network(CFG.get(DEFAULTSECT, 'base_net'))
self.private_address_network = ip_network(CFG.get(DEFAULTSECT,
'private_net'))
try:
with open(CFG.get(DEFAULTSECT, 'private_ips'), 'r') as f:
self.private_address_binding = json.load(f)
self.router_private_address = {}
for subnets in self.private_address_binding.itervalues():
for rid, ip in subnets.iteritems():
try:
iplist = self.router_private_address[rid]
except KeyError:
iplist = self.router_private_address[rid] = []
# Enable single private address as string
if isinstance(ip, str):
ip = [ip]
iplist.extend(ip)
except Exception as e:
log.warning('Incorrect private IP addresses binding file')
log.warning(str(e))
self.private_address_binding = {}
self.router_private_address = {}
self.last_line = ''
self.leader_watchdog = None
self.transaction = None
self.graph = IGPGraph()
self.routers = {} # router-id : lsa
self.networks = {} # DR IP : lsa
self.ext_networks = {} # (router-id, dest) : lsa
self.controllers = defaultdict(list) # controller nr : ip_list
self.listener = {}
self.keep_running = True
self.queue = Queue()
self.processing_thread = Thread(target=self.process_lsa,
name="lsa_processing_thread")
self.processing_thread.setDaemon(True)
self.processing_thread.start()
"""This module provides a structure to represent an IGP topology"""
import os
import networkx as nx
from fibbingnode import log
# The draw_graph call will be remapped to 'nothing' if matplotlib (aka extra
# packages) is not available
try:
import matplotlib.pyplot as plt
except ImportError:
log.warning('Missing packages to draw the network, disabling the fonction')
def draw_graph(*_): pass
else:
def draw_graph(graph, output):
"""If matplotlib is available, draw the given graph to output file"""
try:
layout = spring_layout(graph)
metrics = {
(src, dst): data['metric']
for src, dst, data in graph.edges_iter(data=True)
}
nx.draw_networkx_edge_labels(graph, layout, edge_labels=metrics)
nx.draw(graph, layout, node_size=20)
nx.draw_networkx_labels(graph, layout, labels={n: n for n in graph})
if os.path.exists(output):
os.unlink(output)
plt.savefig(output)
plt.close()
log.debug('Graph of %d nodes saved in %s', len(graph), output)
except:
import heapq
import networkx as nx
from itertools import count
from fibbingnode import log
import fibbingnode.algorithms.utils as ssu
from fibbingnode.misc.utils import extend_paths_list, is_container
# The draw_graph call will be remapped to 'nothing' if matplotlib (aka extra
# packages) is not available
try:
import matplotlib
matplotlib.use('PDF')
import matplotlib.pyplot as plt
except ImportError:
log.warning('Missing packages to draw the network, disabling the fonction')
def draw_graph(*_):
"""Can't draw without matplotlib"""
pass
else:
def draw_graph(graph, output):
"""If matplotlib is available, draw the given graph to output file"""
try:
layout = nx.spring_layout(graph)
metrics = {
(src, dst): data['metric']
for src, dst, data in graph.edges_iter(data=True)
}
nx.draw_networkx_edge_labels(graph, layout, edge_labels=metrics)
nx.draw(graph, layout, node_size=20)
nx.draw_networkx_labels(graph, layout,
def log_test_name(self):
# Get previous stack frame, 3rd part is func name
test = inspect.stack()[1][3]
log.warning('[%s] Testing %s with %s', self.__class__.__name__, test,
self.solver_provider.__name__)
def log_test_name(self):
# Get previous stack frame, 3rd part is func name
test = inspect.stack()[1][3]
log.warning('[%s] Testing %s with %s', self.__class__.__name__, test,
self.solver_provider.__name__)
def testTrapezoid(self):
log.warning('Testing Trapezoid')
self._test(
self.gadgets.trap,
{'1_8': IGPGraph([('R1', 'R2'), ('R2', 'E2'), ('E2', 'D')])}, 1)
def testWeird(self):
log.warning('Testing Weird')
self._test(self.gadgets.weird,
{'3_8': IGPGraph([('D', 'C'), ('C', 'B'), ('B', 'A')])}, 2)