def deploy(broker, provider, force, env):
providers = {"g5k": t.g5k, "vagrant": t.vagrant}
p = providers[provider]
p(broker=broker, force=force, env=env)
t.inventory()
t.prepare(broker=broker)
def deploy(broker, provider, force, conf, env):
config = {}
with open(conf) as f:
config = yaml.load(f)
p = PROVIDERS[provider]
p(broker=broker, force=force, config=config, env=env)
t.inventory()
t.prepare(broker=broker)
sweeps = sweep(PARAMETERS)
sweeper = ParamSweeper(
# Maybe puts the sweeper under the experimentation directory
# This should be current/sweeps
persistence_dir=os.path.join("%s/sweeps" % TEST_DIR),
sweeps=sweeps,
save_sweeps=True,
name="test_case_1")
#Get the next parameter in the set of all remaining params
#This set is temporary viewed as sorted List with this filter function.
params = sweeper.get_next(sort_params_by_nbr_clients)
while params:
if not accept(params):
# skipping element
# Note that the semantic of sweeper.skip is different
sweeper.done(params)
params = sweeper.get_next(sort_params_by_nbr_clients)
continue
# cleaning old backup_dir
params.pop("backup_dir", None)
params.update({"backup_dir": generate_id(params)})
t.g5k(broker=BROKER, env=TEST_DIR)
t.inventory()
t.prepare(broker=BROKER)
print(params)
t.test_case_1(**params)
sweeper.done(params)
params = sweeper.get_next(sort_params_by_nbr_clients)
t.destroy()
def prepare():
t.prepare()
def campaign(broker, provider, conf, test, env):
def generate_id(params):
def clean(s):
return str(s).replace("/", "_sl_") \
.replace(":", "_sc_")
return "-".join([
"%s__%s" % (clean(k), clean(v)) for k, v in sorted(params.items())
])
def accept(params):
call_ratio_max = 3
cast_ratio_max = 3
call_type = params["call_type"]
if params["nbr_servers"] > params["nbr_clients"]:
return False
if call_type == "rpc-call":
if not params["pause"]:
# maximum rate
return call_ratio_max * params["nbr_servers"] >= params[
"nbr_clients"]
else:
# we can afford more clients
# based on our estimation a client sends 200msgs at full rate
return call_ratio_max * params["nbr_servers"] >= params[
"nbr_clients"] * 200 * params["pause"]
else:
if not params["pause"]:
# maximum rate
return cast_ratio_max * params["nbr_servers"] >= params[
"nbr_clients"]
else:
# we can afford more clients
# based on our estimation a client sends 200msgs at full rate
return cast_ratio_max * params["nbr_servers"] >= params[
"nbr_clients"] * 1000 * params["pause"]
# Function to pass in parameter to ParamSweeper.get_next()
# Give the illusion that the Set of params is sorted by nbr_clients
def sort_params_by_nbr_clients(set):
return sorted((list(set)), key=lambda k: k['nbr_clients'])
# Dump each params in the backup dir
def dump_param(params):
if not os.path.exists("%s/params.json" % test):
with open("%s/params.json" % test, 'w') as outfile:
json.dump([], outfile)
#Add the current params to the json
with open("%s/params.json" % test, 'r') as outfile:
all_params = json.load(outfile)
all_params.append(params)
with open("%s/params.json" % test, 'w') as outfile:
json.dump(all_params, outfile)
# Loading the conf
config = {}
with open(conf) as f:
config = yaml.load(f)
parameters = config["campaign"][test]
sweeps = sweep(parameters)
filtered_sweeps = [param for param in sweeps if accept(param)]
sweeper = ParamSweeper(
# Maybe puts the sweeper under the experimentation directory
# This should be current/sweeps
persistence_dir=os.path.join("%s/sweeps" % test),
sweeps=filtered_sweeps,
save_sweeps=True,
name=test)
params = sweeper.get_next(sort_params_by_nbr_clients)
PROVIDERS[provider](broker=broker, config=config, env=test)
t.inventory()
while params:
params.pop("backup_dir", None)
params.update({"backup_dir": generate_id(params)})
t.prepare(broker=broker)
t.test_case_1(**params)
sweeper.done(params)
dump_param(params)
params = sweeper.get_next(sort_params_by_nbr_clients)
t.destroy()