def create_new_experiment(link_id):
session = Session()
logging.info("Unexpected error:", sys.exc_info()[0])
logging.debug("Failed to read data_sum from DB, reloading from file")
if link_id == "dummy":
print("powerlaw graph selecteds")
rs, su = clean_and_create_experiment(("powerlaw", (50, 2, 0.3, 1, 500000000, 20, 200,)), seed=5)
else:
print("links %s graph selected" % link_id)
rs, su = clean_and_create_experiment(("links", (link_id,)), 5)
tenant = Tenant(name=link_id)
session.add(tenant)
session.add(su)
session.flush()
return tenant, su, rs
type=float)
parser.add_argument('--sourcebw', help="cumulated source bw from every source (default 100 bits) ", default=10000,
type=float)
parser.add_argument('--topo', help="specify topo to use", default=('grid', ["5", "5", "100000000", "10", "200"]),
type=valid_topo)
parser.add_argument('--plot', dest="plot", action="store_true")
parser.add_argument('--disable-heuristic', dest="disable_heuristic", action="store_true")
parser.add_argument('--dest_folder', help="destination folder for restults", default=RESULTS_FOLDER)
parser.add_argument('--json', help='display json results in stdout', dest="json", action="store_true")
parser.add_argument('--base64', help='display json results in base64', dest="b64", action="store_true")
args = parser.parse_args()
if args.disable_embedding:
rs, su = clean_and_create_experiment(args.topo, 0)
su.write(RESULTS_FOLDER)
plotsol_from_db(service_link_linewidth=5, net=True, substrate=su)
subprocess.Popen(
["neato", os.path.join(RESULTS_FOLDER, "./substrate.dot"), "-Tsvg", "-o",
os.path.join(args.dest_folder, "topo.svg")]).wait()
shutil.copy(os.path.join(RESULTS_FOLDER, "./substrate.dot"), os.path.join(args.dest_folder, "substrate.dot"))
else:
if args.auto is False and (args.vhg is None or args.vcdn is None):
parser.error('please specify --vhg and --vcdn args if not automatic calculation')
elif args.auto is True and (args.vhg is not None or args.vcdn is not None):
parser.error("can't specify vhg count of vcdn count in --auto mode")
parser.add_argument('--dest_folder',
help="destination folder for restults",
default=RESULTS_FOLDER)
parser.add_argument('--json',
help='display json results in stdout',
dest="json",
action="store_true")
parser.add_argument('--base64',
help='display json results in base64',
dest="b64",
action="store_true")
args = parser.parse_args()
if args.disable_embedding:
rs, su = clean_and_create_experiment(args.topo, 0)
su.write(RESULTS_FOLDER)
if args.json:
topo = su.get_json()
if args.b64:
sys.stdout.write(base64.b64encode(json.dumps(topo)))
else:
sys.stdout.write(json.dumps(topo))
sys.stdout.flush()
if args.plot:
plotsol_from_db(service_link_linewidth=5, net=True, substrate=su)
subprocess.Popen([
"neato",
os.path.join(RESULTS_FOLDER, "./substrate.dot"), "-Tsvg", "-o",
os.path.join(args.dest_folder, "topo.svg")
# print("loading db done")
# generate SLAS
# sla = create_sla(client_count, cdn_count, vcdn_count)
import networkx as nx
import operator
import os
import pandas as pd
g = nx.Graph()
# load all the links
if link_id == "dummy":
print("powerlaw graph selecteds")
_, su = clean_and_create_experiment(("powerlaw", (2000, 3, 0.5, 1, 1000000000, 20, 200,)), seed=6)
g = su.get_nxgraph()
else:
print("links %s graph selected" % link_id)
with open(os.path.join("offline/data", "links", "operator-%s.links" % link_id)) as f:
for line in f.read().split("\n"):
nodes = line.strip().split(" ")
while len(nodes) >= 2:
root = nodes.pop(0)
for node in nodes:
g.add_edge(root, node)
# take the biggest connected subgraph
g = max(list({sg: len(sg.nodes()) for sg in nx.connected_component_subgraphs(g)}.items()),
key=operator.itemgetter(1))[0]