mirror of https://github.com/ivanch/tcc.git
135 lines
3.9 KiB
Python
135 lines
3.9 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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from common import API_REQUESTS, FRAMEWORKS
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FRAMEWORKS = [f for f, _ in FRAMEWORKS]
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def plot_graph(x_data, y_data, title, x_label, y_label, filename):
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for i, framework in enumerate(FRAMEWORKS):
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plt.plot(x_data, y_data[i], markersize=1, linewidth=1, linestyle='solid', label=framework)
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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.legend()
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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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frameworks = {}
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print(y_data)
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for i, framework in enumerate(FRAMEWORKS):
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frameworks[framework] = y_data[i]
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x = np.arange(len(requests))
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width = 0.2
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multiplier = 0
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fig, ax = plt.subplots(layout='constrained', figsize=(7.5, 5))
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print(x)
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for framework, measurements in frameworks.items():
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print(framework, measurements)
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for attribute, measurement in frameworks.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*1.5), requests)
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ax.legend(loc='upper left', ncols=len(frameworks.items()))
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ax.set_ylim(0, 115)
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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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r = [round(float(line[1])*100), round(float(line[2])*100)]
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if r[0] > 100:
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r[0] = 100
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if r[1] > 100:
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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
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def generate_req_graph(filename, framework_name, endpoint_name):
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x, _ = get_data(filename)
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y = []
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for f in FRAMEWORKS:
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newfile = filename.replace(framework_name, f)
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_, y_data = get_data(newfile)
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y.append(y_data)
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graph_file = f'req_{endpoint_name.replace("/", "").replace("?", "")}'
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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)
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for resource_index, resource in enumerate(['cpu', 'ram']):
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y = []
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for f in FRAMEWORKS:
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newfile = filename.replace(framework_name, f)
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_, y_data = get_resource_data(newfile)
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y.append([data[resource_index] for data in y_data])
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graph_file = f'{resource}_{endpoint_name.replace("/", "").replace("?", "")}'
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plot_resource_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__':
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endpoints = [config[0] for config in API_REQUESTS]
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for endpoint_name in endpoints:
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framework_name = 'ASP.NET'
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endpoint_file = endpoint_name.replace('/', '')
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filename = f'data/resource_ASP.NET_{endpoint_file}.csv'
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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'
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filename = filename.replace("?", "_")
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generate_req_graph(filename, framework_name, endpoint_name)
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