mirror of https://github.com/ivanch/tcc.git
89 lines
2.4 KiB
Python
89 lines
2.4 KiB
Python
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import numpy as np
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import matplotlib.pyplot as plt
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def plot_graph(x, y, title, x_label, y_label, filename):
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plt.plot(x, y, 'ro', markersize=1, linewidth=0.5, linestyle='solid')
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plt.title(title)
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plt.xlabel(x_label)
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plt.ylabel(y_label)
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plt.savefig(f'{filename}.png')
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plt.clf()
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plt.close('all')
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def plot_resource_graph(x_data, y_data, title, x_label, y_label, filename):
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requests = x_data
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resource = {
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'CPU': [p[0] for p in y_data],
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'RAM': [p[1] for p in y_data],
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}
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x = np.arange(len(requests))
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width = 0.25
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multiplier = 0
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fig, ax = plt.subplots(layout='constrained')
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for attribute, measurement in resource.items():
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offset = width * multiplier
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rects = ax.bar(x + offset, measurement, width, label=attribute)
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ax.bar_label(rects, padding=3)
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multiplier += 1
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# Add some text for labels, title and custom x-axis tick labels, etc.
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ax.set_xlabel(x_label)
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ax.set_ylabel(y_label)
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ax.set_title(title)
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ax.set_xticks(x + (width/2), requests)
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ax.legend(loc='upper left', ncols=len(resource.items()))
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ax.set_ylim(0, 100)
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plt.savefig(f'{filename}.png')
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plt.clf()
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plt.close('all')
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def get_data(filename):
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lines = []
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with open(filename, 'r') as f:
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lines = f.readlines()
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x = []
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y = []
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for line in lines:
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line = line.strip().split(',')
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if line:
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x.append(int(line[0]))
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y.append(float(line[1]))
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return x, y
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def get_resource_data(filename):
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lines = []
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with open(filename, 'r') as f:
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lines = f.readlines()
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x = []
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y = []
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for line in lines:
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line = line.strip().split(',')
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if line:
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x.append(int(line[0])) # requests
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y.append([float(v)*100 for v in line[1:]]) # cpu, ram
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return x, y
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def generate_req_graph(filename, framework_name, endpoint_name):
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x, y = get_data(filename)
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filename = filename.split('/')[-1]
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new_filename = filename.replace('.csv', '')
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plot_graph(x, y, f'{framework_name} - {endpoint_name}', 'Número de requisições', 'Requisições por segundo', new_filename)
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def generate_resource_graph(filename, framework_name, endpoint_name):
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x, y = get_resource_data(filename)
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filename = filename.split('/')[-1]
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new_filename = filename.replace('.csv', '')
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plot_resource_graph(x, y, f'{framework_name} - {endpoint_name}', 'Uso de recursos', 'Uso (%)', new_filename)
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