tcc/scripts/graph.py

import numpy as np
import matplotlib.pyplot as plt

def plot_graph(x, y, title, x_label, y_label, filename):
    plt.plot(x, y, 'ro', markersize=1, linewidth=0.5, linestyle='solid')
    plt.title(title)
    plt.xlabel(x_label)
    plt.ylabel(y_label)
    plt.savefig(f'{filename}.png')

    plt.clf()

def plot_resource_graph(x, y, title, x_label, y_label, filename):
    requests = x
    resource = {
        'CPU': (p[0] for p in y),
        'RAM': (p[1] for p in y),
    }

    x = np.arange(len(requests))
    width = 0.25
    multiplier = 0

    fig, ax = plt.subplots(layout='constrained')

    for attribute, measurement in resource.items():
        offset = width * multiplier

        rects = ax.bar(x + offset, measurement, width, label=attribute)
        ax.bar_label(rects, padding=3)
        multiplier += 1

    # Add some text for labels, title and custom x-axis tick labels, etc.
    ax.set_xlabel(x_label)
    ax.set_ylabel(y_label)
    ax.set_title(title)
    ax.set_xticks(x + width, requests)
    ax.legend(loc='upper left', ncols=len(resource.items()))
    ax.set_ylim(0, 250)

    plt.savefig(f'resources_{filename}.png')

    plt.clf()

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:
            x.append(int(line[0])) # requests
            y.append([float(v) for v in line[1:]]) # cpu, ram

    return x, y

def generate_req_graph(filename, framework_name, endpoint_name):
    x, y = get_data(filename)

    new_filename = filename.replace('.txt', '').replace('.csv', '')
    plot_graph(x, y, f'{framework_name} - {endpoint_name}', 'Número de requisições', 'Requisições por segundo', new_filename)

def generate_resource_graph(filename, framework_name, endpoint_name):
    x, y = get_resource_data(filename)

    new_filename = filename.replace('.txt', '').replace('.csv', '')
    plot_resource_graph(x, y, f'{framework_name} - {endpoint_name}', 'Uso de recursos', 'Uso (%)', new_filename)