import numpy as np
import matplotlib.pyplot as plt
from common import API_REQUESTS, FRAMEWORKS
from pylab import plot, show, savefig, xlim, figure, \
                ylim, legend, boxplot, setp, axes

FRAMEWORKS_COLORS = [c for _, _, c in FRAMEWORKS]
FRAMEWORKS = [f for f, _, _ in FRAMEWORKS]

def setBoxColors(bp):
    for i, box in enumerate(bp['boxes']):
        box.set(color=FRAMEWORKS_COLORS[i])
    for i, median in enumerate(bp['medians']):
        # median.set(color=FRAMEWORKS_COLORS[i])
        median.set(color='white')

    for i in range(len(FRAMEWORKS)):
        bp['whiskers'][i*2].set(color=FRAMEWORKS_COLORS[i])
        bp['whiskers'][i*2 + 1].set(color=FRAMEWORKS_COLORS[i])
    for i in range(len(FRAMEWORKS)):
        bp['caps'][i*2].set(color=FRAMEWORKS_COLORS[i])
        bp['caps'][i*2 + 1].set(color=FRAMEWORKS_COLORS[i])


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

    x_data = []
    y_data = []

    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(len(FRAMEWORKS)):
                y_data[-1].append([])

        for f in range(len(FRAMEWORKS)):
            y_data[-1][f].append(old_y_data[f][i])

    fig = figure()
    ax = axes()

    all_positions = []

    print(filename)
    # print(y_data)
    for j in range(len(x_data)):
        positions = [len(FRAMEWORKS)*j + i + 2*j for i in range(len(FRAMEWORKS))]

        bp = boxplot(y_data[j], positions = positions, widths = 0.6, showfliers=False,
                     patch_artist=True)
        all_positions.append(positions)
        setBoxColors(bp)

    for i in range(len(FRAMEWORKS)):
        medians = []
        for j in range(len(x_data)):
            medians.append(np.median(y_data[j][i]))

        positions = [all_positions[x][i] for x in range(len(x_data))]
        plt.plot(positions, medians, color=FRAMEWORKS_COLORS[i], marker='.', linestyle='--', linewidth=0.3)

    avg_positions = []
    for positions in all_positions:
        avg = np.average(positions)
        avg_positions.append(avg)

    ax.set_xticks(avg_positions)
    ax.set_xticklabels([str(x) for x in x_data])

    plt.title(title)
    plt.xlabel(x_label)
    plt.ylabel(y_label)

    if y_lim:
        plt.ylim(y_lim)

    if filename.startswith('req'):
        for i, framework in enumerate(FRAMEWORKS):
            h, = plt.plot([], c=FRAMEWORKS_COLORS[i], label=framework, marker='.', linestyle='--')
            # h.set_visible(False)

        plt.legend()

    plt.tight_layout()
    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:
            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

            x.append(int(line[0])) # requests
            y.append(r) # cpu, ram

    return x, y

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

    for f in FRAMEWORKS:
        newfile = filename.replace(framework_name, f)
        _, y_data = get_data(newfile)

        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)

def generate_resource_graph(filename, framework_name, endpoint_name):
    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("?", "")}'
        plot_graph(x, y, f'Uso de {resource.upper()} - {endpoint_name}', 'Número de requisições', f'Uso de {resource.upper()} (%)', graph_file)

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('/', '')

        endpoint_name = '/' + endpoint_name.split('/')[-1]

        filename = f'data/resource_ASP.NET_{endpoint_file}.csv'
        filename = filename.replace("?", "_")
        generate_resource_graph(filename, framework_name, endpoint_name)

        filename = f'data/req_ASP.NET_{endpoint_file}.csv'
        filename = filename.replace("?", "_")
        generate_req_graph(filename, framework_name, endpoint_name)