def do_all(name, g, i, t, data):
global options
assert options
filename = ''
if 'metrics' in options.operations:
stats, filename = metrics.do_metrics(options, name, g)
filename = filename.replace('data_out', 'data_vis')
else:
controllers = metrics.get_controllers(g, options)
exp_filename = metrics.get_filename(name, options, controllers)
if not os.path.exists(exp_filename + '.json'):
raise Exception("invalid file path: %s" % exp_filename)
print("exp_filename")
print(exp_filename)
input_file = open(exp_filename + '.json', 'r')
stats = json.load(input_file)
filename = exp_filename.replace('data_out', 'data_vis')
if 'cdfs' in options.operations:
plot_cdfs.do_cdfs(options, stats, filename)
if 'ranges' in options.operations:
plot_ranges.do_ranges(options, stats, filename, 'os3e')
if 'pareto' in options.operations:
plot_pareto.do_pareto(options, stats, filename)
if 'cloud' in options.operations:
plot_cloud.do_cloud(options, stats, filename, 'png')
def do_all(options, name, g, i, t, data):
filename = ''
if 'metrics' in options.operations:
stats, filename = metrics.do_metrics(options, name, g)
filename = filename.replace('data_out', 'data_vis')
else:
controllers = metrics.get_controllers(g, options)
exp_filename = metrics.get_filename(name, options, controllers)
if not os.path.exists(exp_filename + '.json'):
raise Exception("invalid file path: %s" % exp_filename)
input_file = open(exp_filename + '.json', 'r')
stats = json.load(input_file)
filename = exp_filename.replace('data_out', 'data_vis')
if 'cdfs' in options.operations:
plot_cdfs.do_cdfs(options, stats, filename)
if 'ranges' in options.operations:
plot_ranges.do_ranges(options, stats, filename)
if 'pareto' in options.operations:
plot_pareto.do_pareto(options, stats, filename)
if 'cloud' in options.operations:
plot_cloud.do_cloud(options, stats, filename, 'png')
csv_fields = ['metric', 'ptype', 'name', 'topo', 'n', 'e', 'w', 'gdf_name', 'x', 'y']
csv_tuples = []
for i, topo in enumerate(topos):
if not options.max == None and i >= options.max:
break
g, usable, note = get_topo_graph(topo)
if usable:
w = total_weight(g)
# Check for --force here?
print "usable topo: %s" % topo
total_usable += 1
controllers = metrics.get_controllers(g, options)
exp_filename = metrics.get_filename(topo, options, controllers)
path_exists = os.path.exists(exp_filename + '.json')
compute_metrics = 'metrics' in options.operations
# Compute data only when the following conditions hold:
# - asked to complete metrics, AND
# - asked to force, or data is missing
if compute_metrics and (options.force or not path_exists):
print "freshly analyzing topo: %s" % topo
stats, filename = metrics.do_metrics(options, topo, g)
filename = filename.replace('data_out', 'data_vis')
total_used += 1
# Otherwise, load the data:
else:
if not os.path.exists(exp_filename + '.json'):
if options.all_topos:
topos = sorted(zoo_topos())
else:
topos = options.topos
topo_test = nx.Graph()
t = len(topos)
ignored = []
successes = []
#g_unified = nx.Graph() #unified graph
#g_unified = nx.union_all(topos) #unify all given graphs
for i, topo in enumerate(topos):
print "topo %s of %s: %s" % (i + 1, t, topo)
g, usable, note = get_topo_graph(topo)
#g_unified = nx.union(g,topo_test)#unify graphs
exp_filename = metrics.get_filename(topo, options)
if not g:
raise Exception("WTF?! null graph: %s" % topo)
elif not options.force and os.path.exists(exp_filename + '.json'):
# Don't bother doing work if our metrics are already there.
print "skipping already-analyzed topo: %s" % topo
ignored.append(topo)
elif not has_weights(g):
ignored.append(topo)
print "no weights for %s, skipping" % topo
else:
do_all(topo, g, 1, 1, None, mylist)
successes.append(topo)
if options.all_topos:
topos = sorted(zoo_topos())
else:
topos = options.topos
topo_test = nx.Graph()
t = len(topos)
ignored = []
successes = []
#g_unified = nx.Graph() #unified graph
#g_unified = nx.union_all(topos) #unify all given graphs
for i, topo in enumerate(topos):
print "topo %s of %s: %s" % (i + 1, t, topo)
g, usable, note = get_topo_graph(topo)
#g_unified = nx.union(g,topo_test)#unify graphs
exp_filename = metrics.get_filename(topo, options)
if not g:
raise Exception("WTF?! null graph: %s" % topo)
elif not options.force and os.path.exists(exp_filename + '.json'):
# Don't bother doing work if our metrics are already there.
print "skipping already-analyzed topo: %s" % topo
ignored.append(topo)
elif not has_weights(g):
ignored.append(topo)
print "no weights for %s, skipping" % topo
else:
do_all(topo, g, 1, 1, None, mylist)
successes.append(topo)