from flask import Response
from flask import Flask, request, jsonify, json, abort, redirect, url_for, render_template
from flask_cors import CORS, cross_origin
import matplotlib.pyplot as plt
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
import pandas as pd
import numpy as np

@app.route('/plot.png')
def plot_png():
    #fig = create_figure()
    fig = horizon()
    output = io.BytesIO()
    FigureCanvas(fig).print_png(output)
    return Response(output.getvalue(), mimetype='image/png')

def horizon():
    plt.close('all')
    y = np.random.randint(100, size=30)
    p2i = lambda x: x/96
    fig = plt.figure()
    plt.gca().set_axis_off()
    plt.subplots_adjust(top=1,bottom=0,right=1,left=0,hspace=0,wspace=0)
    plt.margins(0,0)
    plt.gca().xaxis.set_major_locator(plt.NullLocator())
    plt.gca().yaxis.set_major_locator(plt.NullLocator())
    height = 20
    fontsize = height*.666
    fig.set_size_inches(p2i(160),p2i(height))
    maxval = 100
    layers = 4
    color = "#f5222d"
    for i in range(layers):
        plt.fill_between(range(len(y)), y-(maxval/layers)*i, alpha=0.2+(i/10)*1, color=color)
    plt.xlim(0,len(y)-1)
    plt.ylim(0,maxval/layers)
    #y[-1] = 4
    s = str(y[-1]) if y[-1] > 9 else f" {y[-1]}"
    s = y[-1]
    plt.text(len(y)-(1.5),4.5,s,bbox=dict(alpha=0), fontsize=fontsize, horizontalalignment='right')
    
    return fig

if __name__ == '__main__':
   app.run(host='0.0.0.0', port=12000)

plt.gca().set_axis_off()
plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0, 
            hspace = 0, wspace = 0)
plt.margins(0,0)
plt.gca().xaxis.set_major_locator(plt.NullLocator())
plt.gca().yaxis.set_major_locator(plt.NullLocator())
plt.savefig("filename.pdf", bbox_inches = 'tight',
    pad_inches = 0)