def plot(cls, params_dict):
try:
params = PlotParameters(params_dict)
except PlotError as e:
raise PlotError('Invalid nodes or bench parameters', e)
# Aggregate the logs.
LogAggregator(params.max_latency).print()
# Load the aggregated log files.
robustness_files, latency_files, tps_files = [], [], []
tx_size = params.tx_size
for f in params.faults:
for n in params.nodes:
robustness_files += glob(
PathMaker.agg_file('robustness', n, 'x', tx_size, f, 'any')
)
latency_files += glob(
PathMaker.agg_file('latency', n, 'any', tx_size, f, 'any')
)
for l in params.max_latency:
tps_files += glob(
PathMaker.agg_file('tps', 'x', 'any', tx_size, f, l)
)
# Make the plots.
cls.plot_robustness(robustness_files)
cls.plot_latency(latency_files)
cls.plot_tps(tps_files)
def print(self):
if not os.path.exists(PathMaker.plots_path()):
os.makedirs(PathMaker.plots_path())
results = [
self._print_latency(),
self._print_tps(),
self._print_robustness()
]
for records in results:
for setup, values in records.items():
data = '\n'.join(f' Variable value: X={x}\n{y}'
for x, y in values)
string = ('\n'
'-----------------------------------------\n'
' RESULTS:\n'
'-----------------------------------------\n'
f'{setup}'
'\n'
f'{data}'
'-----------------------------------------\n')
filename = PathMaker.agg_file(setup.nodes,
setup.rate,
setup.tx_size,
max_latency=setup.max_latency)
with open(filename, 'w') as f:
f.write(string)
def plot_tps(cls, z_axis):
assert hasattr(z_axis, '__call__')
x_label = 'Committee size'
y_label = ['Throughput (tx/s)', 'Throughput (MB/s)']
files = glob(PathMaker.agg_file('x', 'any', r'*', r'*'))
ploter = cls(files)
ploter._plot(x_label, y_label, ploter._tps, z_axis, 'tps')
def plot_latency(cls, z_axis):
assert hasattr(z_axis, '__call__')
x_label = 'Throughput (tx/s)'
y_label = ['Latency (ms)']
files = glob(PathMaker.agg_file(r'[0-9]*', 'any', r'*', 'any'))
ploter = cls(files)
ploter._plot(x_label, y_label, ploter._latency, z_axis, 'latency')
def plot_robustness(cls, z_axis):
assert hasattr(z_axis, '__call__')
x_label = 'Input rate (tx/s)'
y_label = ['Throughput (tx/s)', 'Throughput (MB/s)']
files = glob(PathMaker.agg_file(r'[0-9]*', 'x', r'*', 'any'))
ploter = cls(files)
ploter._plot(x_label, y_label, ploter._tps, z_axis, 'robustness')
