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constellation/.github/actions/e2e_benchmark/evaluate/graph.py
Moritz Eckert 0b66119a41 docs: group perf graphics by csp
2023-04-11 14:28:21 +02:00

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"""Generate graphs comparing K-Bench benchmarks across cloud providers and Constellation."""
import json
import os
import tempfile
from collections import defaultdict
from pathlib import Path
from urllib import request
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import font_manager as fm
SUBJECTS_AZURE = ['constellation-azure', 'AKS']
SUBJECTS_GCP = ['constellation-gcp', 'GKE']
LEGEND_NAMES_AZURE = ['Constellation', 'AKS']
LEGEND_NAMES_GCP = ['Constellation', 'GKE']
BAR_COLORS = ['#90FF99', '#929292', '#8B04DD', '#000000']
FONT_URL = "https://github.com/google/fonts/raw/main/apache/roboto/static/Roboto-Regular.ttf"
FONT_NAME = "Roboto-Regular.ttf"
FONT_SIZE = 13
# Some lookup dictionaries for x axis
fio_iops_unit = 'IOPS'
fio_bw_unit = 'MiB/s'
net_unit = 'Mbit/s'
def configure() -> str:
"""Read the benchmark data paths.
Expects ENV vars (required):
- BDIR=benchmarks
Raises TypeError if at least one of them is missing.
Returns: out_dir
"""
out_dir = os.environ.get('BDIR', None)
if not out_dir:
raise TypeError(
'ENV variables BDIR is required.')
return out_dir
def bar_chart(data, title='', unit='', x_label=''):
# """Draws a bar chart with multiple bars per data point.
# Args:
# data (dict[str, list]): Benchmark data dictionary: subject -> lists of value points
# title (str, optional): The title for the chart. Defaults to "".
# suffix (str, optional): The suffix for values e.g. "MiB/s". Defaults to "".
# x_label (str, optional): The label for the x-axis. Defaults to "".
# Returns:
# fig (matplotlib.pyplot.figure): The pyplot figure
# """
# Create plot and set configs
plt.rcdefaults()
plt.rc('font', family=FONT_NAME, size=FONT_SIZE)
fig, ax = plt.subplots(figsize=(10, 5))
# Calculate y positions
y_pos = np.arange(len(data))
bars = ax.barh(y_pos, data.values(), align='center', color=BAR_COLORS)
# Axis formatting
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_color('#DDDDDD')
ax.tick_params(bottom=False, left=False)
ax.set_axisbelow(True)
ax.xaxis.grid(True, color='#EEEEEE')
ax.yaxis.grid(False)
# Bar annotations
for bar in bars:
ax.text(
1.03*bar.get_width(),
bar.get_y() + bar.get_height() / 2,
f'{bar.get_width():.0f}',
verticalalignment='center',
)
# Set labels and titles
ax.set_yticks(y_pos, labels=data.keys())
ax.invert_yaxis() # labels read top-to-bottom
ax.set_xlabel(x_label, fontdict={"fontsize": 12})
if unit != '':
unit = f"({unit})"
ax.set_title(f'{title} {unit}', fontdict={
"fontsize": 20, 'weight': 'bold'})
plt.tight_layout()
# plt.show()
return fig
def main():
""" Download and setup fonts"""
path = Path(tempfile.mkdtemp())
font_path = path / FONT_NAME
request.urlretrieve(FONT_URL, font_path)
font = fm.FontEntry(fname=str(font_path), name=FONT_NAME)
fm.fontManager.ttflist.append(font)
"""Read the files and create diagrams."""
out_dir = configure()
combined_results = defaultdict(dict)
for test in SUBJECTS_AZURE+SUBJECTS_GCP:
# Read the previous results
read_path = os.path.join(
out_dir, '{subject}.json'.format(subject=test))
try:
with open(read_path, 'r') as res_file:
combined_results[test].update(json.load(res_file))
except OSError as e:
raise ValueError(
'Failed reading {subject} benchmark records: {e}'.format(subject=test, e=e))
# Network charts
# P2P TCP + UDP Azure
net_data = {}
for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
net_data[l+" - TCP"] = int(combined_results[s]
['knb']['pod2pod']['tcp_bw_mbit'])
for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
net_data[l+" - UDP"] = int(combined_results[s]
['knb']['pod2pod']['udp_bw_mbit'])
bar_chart(data=net_data,
title='K8S CNI Benchmark - Pod to Pod - Azure - Bandwidth',
unit=net_unit,
x_label=f"Bandwidth in {net_unit} - Higher is better")
save_name = os.path.join(out_dir, 'benchmark_net_p2p_azure.png')
plt.savefig(save_name)
# P2P TCP + UDP GCP
net_data = {}
for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
net_data[l+" - TCP"] = int(combined_results[s]
['knb']['pod2pod']['tcp_bw_mbit'])
for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
net_data[l+" - UDP"] = int(combined_results[s]
['knb']['pod2pod']['udp_bw_mbit'])
bar_chart(data=net_data,
title='K8S CNI Benchmark - Pod to Pod - GCP - Bandwidth',
unit=net_unit,
x_label=f"Bandwidth in {net_unit} - Higher is better")
save_name = os.path.join(out_dir, 'benchmark_net_p2p_gcp.png')
plt.savefig(save_name)
# P2SVC TCP + UDP Azure
net_data = {}
for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
net_data[l+" - TCP"] = int(combined_results[s]
['knb']['pod2svc']['tcp_bw_mbit'])
for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
net_data[l+" - UDP"] = int(combined_results[s]
['knb']['pod2svc']['udp_bw_mbit'])
bar_chart(data=net_data,
title='K8S CNI Benchmark - Pod to Service - Azure - Bandwidth',
unit=net_unit,
x_label=f"Bandwidth in {net_unit} - Higher is better")
save_name = os.path.join(out_dir, 'benchmark_net_p2svc_azure.png')
plt.savefig(save_name)
# P2P TCP + UDP GCP
net_data = {}
for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
net_data[l+" - TCP"] = int(combined_results[s]
['knb']['pod2svc']['tcp_bw_mbit'])
for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
net_data[l+" - UDP"] = int(combined_results[s]
['knb']['pod2svc']['udp_bw_mbit'])
bar_chart(data=net_data,
title='K8S CNI Benchmark - Pod to Service - GCP - Bandwidth',
unit=net_unit,
x_label=f"Bandwidth in {net_unit} - Higher is better")
save_name = os.path.join(out_dir, 'benchmark_net_p2svc_gcp.png')
plt.savefig(save_name)
# FIO charts
# IOPS on Azure
fio_data = {}
for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
fio_data[l+" - Read"] = int(combined_results[s]
['fio']['read_iops']['iops'])
for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
fio_data[l+" - Write"] = int(combined_results[s]
['fio']['write_iops']['iops'])
bar_chart(data=fio_data,
title='FIO Benchmark - Azure - IOPS',
x_label=f"{fio_iops_unit} - Higher is better")
save_name = os.path.join(out_dir, 'benchmark_fio_azure_iops.png')
plt.savefig(save_name)
# IOPS on GCP
fio_data = {}
for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
fio_data[l+" - Read"] = int(combined_results[s]
['fio']['read_iops']['iops'])
for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
fio_data[l+" - Write"] = int(combined_results[s]
['fio']['write_iops']['iops'])
bar_chart(data=fio_data,
title='FIO Benchmark - GCP - IOPS',
x_label=f"{fio_iops_unit} - Higher is better")
save_name = os.path.join(out_dir, 'benchmark_fio_gcp_iops.png')
plt.savefig(save_name)
# Bandwidth on Azure
fio_data = {}
for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
fio_data[l+" - Read"] = int(combined_results[s]
['fio']['read_bw']['bw_kbytes'] / 1024)
for s, l in zip(SUBJECTS_AZURE, LEGEND_NAMES_AZURE):
fio_data[l+" - Write"] = int(combined_results[s]
['fio']['write_bw']['bw_kbytes'] / 1024)
bar_chart(data=fio_data,
title='FIO Benchmark - Azure - Bandwidth',
x_label=f"Bandwidth in {fio_bw_unit} - Higher is better")
save_name = os.path.join(out_dir, 'benchmark_fio_azure_bw.png')
plt.savefig(save_name)
# Bandwidth on GCP
fio_data = {}
for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
fio_data[l+" - Read"] = int(combined_results[s]
['fio']['read_bw']['bw_kbytes'] / 1024)
for s, l in zip(SUBJECTS_GCP, LEGEND_NAMES_GCP):
fio_data[l+" - Write"] = int(combined_results[s]
['fio']['write_bw']['bw_kbytes'] / 1024)
bar_chart(data=fio_data,
title='FIO Benchmark - GCP - Bandwidth',
x_label=f"Bandwidth in {fio_bw_unit} - Higher is better")
save_name = os.path.join(out_dir, 'benchmark_fio_gcp_bw.png')
plt.savefig(save_name)
if __name__ == '__main__':
main()
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