mirror of
https://github.com/zigzap/zap.git
synced 2025-10-20 07:04:08 +00:00
90 lines
3.1 KiB
Python
90 lines
3.1 KiB
Python
import re
|
|
import os
|
|
import matplotlib.pyplot as plt
|
|
from matplotlib.ticker import FuncFormatter
|
|
from collections import defaultdict
|
|
import statistics
|
|
|
|
directory = "./wrk" # Replace with the actual directory path
|
|
|
|
requests_sec = defaultdict(list)
|
|
transfers_sec = defaultdict(list)
|
|
|
|
mean_requests = {}
|
|
mean_transfers = {}
|
|
|
|
|
|
def plot(kind='', title='', ylabel='', means=None):
|
|
# Sort the labels and requests_sec lists together based on the requests_sec values
|
|
labels = []
|
|
values = []
|
|
|
|
# silly, I know
|
|
for k, v in means.items():
|
|
labels.append(k)
|
|
values.append(v)
|
|
|
|
# sort the labels and value lists
|
|
labels, values = zip(*sorted(zip(labels, values), key=lambda x: x[1], reverse=True))
|
|
|
|
# Plot the graph
|
|
plt.figure(figsize=(10, 6)) # Adjust the figure size as needed
|
|
bars = plt.bar(labels, values)
|
|
plt.xlabel("Subject")
|
|
plt.ylabel(ylabel)
|
|
plt.title(title)
|
|
plt.xticks(rotation=45) # Rotate x-axis labels for better readability
|
|
|
|
# Display the actual values on top of the bars
|
|
for bar in bars:
|
|
yval = bar.get_height()
|
|
plt.text(bar.get_x() + bar.get_width() / 2, yval, f'{yval:,.2f}', ha='center', va='bottom')
|
|
|
|
plt.tight_layout() # Adjust the spacing of the graph elements
|
|
png_name = f"{directory}/{kind.lower()}_graph.png"
|
|
plt.savefig(png_name) # Save the graph as a PNG file
|
|
print(f"Generated: {png_name}")
|
|
|
|
|
|
if __name__ == '__main__':
|
|
if not os.path.isdir(".git"):
|
|
print("Please run from root directory of the repository!")
|
|
print("e.g. python wrk/graph.py")
|
|
import sys
|
|
sys.exit(1)
|
|
|
|
# Iterate over the files in the directory
|
|
for filename in os.listdir(directory):
|
|
if filename.endswith(".perflog"):
|
|
label = os.path.splitext(filename)[0]
|
|
file_path = os.path.join(directory, filename)
|
|
|
|
with open(file_path, "r") as file:
|
|
lines = file.readlines()
|
|
for line in lines:
|
|
# Extract the Requests/sec value using regular expressions
|
|
match = re.search(r"Requests/sec:\s+([\d.]+)", line)
|
|
if match:
|
|
requests_sec[label].append(float(match.group(1)))
|
|
match = re.search(r"Transfer/sec:\s+([\d.]+)", line)
|
|
if match:
|
|
value = float(match.group(1))
|
|
if 'KB' in line:
|
|
value *= 1024
|
|
elif 'MB' in line:
|
|
value *= 1024 * 1024
|
|
value /= 1024.0 * 1024
|
|
transfers_sec[label].append(value)
|
|
|
|
# calculate means
|
|
for k, v in requests_sec.items():
|
|
mean_requests[k] = statistics.mean(v)
|
|
|
|
for k, v in transfers_sec.items():
|
|
mean_transfers[k] = statistics.mean(v)
|
|
|
|
# save the plots
|
|
plot(kind='req_per_sec', title='Requests/sec Comparison',
|
|
ylabel='requests/sec', means=mean_requests)
|
|
plot(kind='xfer_per_sec', title='Transfer/sec Comparison',
|
|
ylabel='transfer/sec [MB]', means=mean_transfers)
|