#!/bin/python3

from sys import argv
from pylab import *
import numpy as np

data_file = argv[1]


def col2array(dico, col):
    temp_liste = list()
    for line in dico:
        temp_liste.append(int(dico[line][col], 16))
    return(np.array(temp_liste))


with open(data_file, 'r') as data:
    data = data.read().splitlines()
data_dict = {}
count = 0
for line in data:
    if "[00] {79}" in line:
        data_dict.update({count: tuple(line.replace('[00] {79} ','').split())})
        count += 1
x = np.array(list(data_dict.keys()))
y0 = col2array(data_dict, 0)
y1 = col2array(data_dict, 1)
y2 = col2array(data_dict, 2)
y3 = col2array(data_dict, 3)
y4 = col2array(data_dict, 4)
y5 = col2array(data_dict, 5)
y6 = col2array(data_dict, 6)
y7 = col2array(data_dict, 7)
y8 = col2array(data_dict, 8)
y9 = col2array(data_dict, 9)

figure(figsize=(21,10), dpi=100)
# plot(x, y0, label="col 0")
# plot(x, y1, label="col 1")
plot(x, y2, label="col 2 (temp)")
print('temp1 : ', y2)
plot(x, y3, label="col 3 (temp)")
print('temp2 : ', y3)
plot(x, y4, label="col 4 (hum)")
print('hum : ', y4)
plot(x, y5, label="col 5 (vent ?)")
plot(x, y6, label="col 6 (vent ?)")
plot(x, y7, label="col 7 (pluie ?)")
plot(x, y8, label="col 8 (?)")
# plot(x, y9, label="col 9")
legend(loc='best')
# savefig("/tmp/meteo-graph.svg", dpi=100)
show()
close('all')