tcc/scripts/graph.py

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import numpy as np
import matplotlib.pyplot as plt
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from common import API_REQUESTS, FRAMEWORKS
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from pylab import plot, show, savefig, xlim, figure, \
ylim, legend, boxplot, setp, axes
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FRAMEWORKS_COLORS = [c for _, _, c in FRAMEWORKS]
FRAMEWORKS = [f for f, _, _ in FRAMEWORKS]
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def setBoxColors(bp):
for i, box in enumerate(bp['boxes']):
box.set(color=FRAMEWORKS_COLORS[i])
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def plot_graph(x_data, y_data, title, x_label, y_label, filename, y_lim = None):
old_x_data = x_data
old_y_data = y_data
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x_data = []
y_data = []
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for i in range(len(old_x_data)):
if old_x_data[i] not in x_data:
x_data.append(old_x_data[i])
y_data.append([])
for f in range(2):
y_data[-1].append([])
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for f in range(2):
y_data[-1][f].append(old_y_data[f][i])
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fig = figure()
ax = axes()
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all_positions = []
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for j in range(len(x_data)):
positions = [len(FRAMEWORKS)*j + i + 1 for i in range(len(FRAMEWORKS))]
bp = boxplot(y_data[j], positions = positions, widths = 0.6)
all_positions.append(positions)
setBoxColors(bp)
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avg_positions = []
for positions in all_positions:
avg_positions.append(np.average(positions))
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ax.set_xticks(avg_positions)
ax.set_xticklabels([str(x) for x in x_data])
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plt.title(title)
plt.xlabel(x_label)
plt.ylabel(y_label)
if y_lim:
plt.ylim(y_lim)
for i, framework in enumerate(FRAMEWORKS):
h, = plt.plot([], c=FRAMEWORKS_COLORS[i], label=framework)
# h.set_visible(False)
plt.legend()
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plt.savefig(f'{filename}.png')
plt.clf()
plt.close('all')
def get_data(filename):
lines = []
with open(filename, 'r') as f:
lines = f.readlines()
x = []
y = []
for line in lines:
line = line.strip().split(',')
if line:
x.append(int(line[0]))
y.append(float(line[1]))
return x, y
def get_resource_data(filename):
lines = []
with open(filename, 'r') as f:
lines = f.readlines()
x = []
y = []
for line in lines:
line = line.strip().split(',')
if line:
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r = [round(float(line[1])*100), round(float(line[2])*100)]
if r[0] > 100:
r[0] = 100
if r[1] > 100:
r[1] = 100
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x.append(int(line[0])) # requests
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y.append(r) # cpu, ram
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return x, y
def generate_req_graph(filename, framework_name, endpoint_name):
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x, _ = get_data(filename)
y = []
for f in FRAMEWORKS:
newfile = filename.replace(framework_name, f)
_, y_data = get_data(newfile)
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y.append(y_data)
graph_file = f'req_{endpoint_name.replace("/", "").replace("?", "")}'
plot_graph(x, y, f'Requisições atendidas por segundo - {endpoint_name}', 'Número de requisições', 'Requisições/segundo', graph_file)
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def generate_resource_graph(filename, framework_name, endpoint_name):
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x, _ = get_resource_data(filename)
for resource_index, resource in enumerate(['cpu', 'ram']):
y = []
for f in FRAMEWORKS:
newfile = filename.replace(framework_name, f)
_, y_data = get_resource_data(newfile)
y.append([data[resource_index] for data in y_data])
graph_file = f'{resource}_{endpoint_name.replace("/", "").replace("?", "")}'
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plot_graph(x, y, f'Uso de {resource.upper()} - {endpoint_name}', 'Número de requisições', f'Uso de {resource.upper()} (%)', graph_file)
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if __name__ == '__main__':
endpoints = [config[0] for config in API_REQUESTS]
for endpoint_name in endpoints:
framework_name = 'ASP.NET'
endpoint_file = endpoint_name.replace('/', '')
filename = f'data/resource_ASP.NET_{endpoint_file}.csv'
filename = filename.replace("?", "_")
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generate_resource_graph(filename, framework_name, endpoint_name)
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filename = f'data/req_ASP.NET_{endpoint_file}.csv'
filename = filename.replace("?", "_")
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generate_req_graph(filename, framework_name, endpoint_name)