from copy import deepcopy
from lxml import etree
import matplotlib.pyplot as plt
import numpy as np

# Photovoltaics Installed Capacity and Production in Turkey
# data from https://fr.wikipedia.org/wiki/Énergie_solaire_en_Turquie
# multilingual

data=[
# show_X, year,  installed MW , production GWh
['x',2014 ,   40 , 17 ] ,
[' ',2015 ,  248 ,194 ] ,
[' ',2016 ,  832 ,1043 ] ,
['x',2017 , 3400 ,2889 ] ,
[' ',2018 , 5000 ,7800 ] ,
[' ',2019 , 5900 ,9250 ] ,
['x',2020 , 6900 ,10950 ] ,
[' ',2021 , 7900 ,13942 ] ,
[' ',2022 , 9500 ,15226 ] ,
['x',2023 ,11292 ,20500 ] 
]
# please update in future.

show_yesno = np.array([row[0] for row in data])
all_years  = np.array([row[1] for row in data])
bar_labels = []

# show axis-labels only the years marked with 'x'
for i, yesNo in enumerate(show_yesno):
    if (yesNo == 'x'):
        bar_labels.append(all_years[i])
    else:
        bar_labels.append("")
        
data_installed      = np.array([row[2] for row in data])  # installed
data_generated      = np.array([row[3] for row in data])  # generated

fig = plt.figure()
ax1 = plt.gca()
ax2 = ax1.twinx()

plt.xticks(range(len(bar_labels)), bar_labels  )

plt.rcParams.update({'text.usetex':False, "svg.fonttype":"none", "font.size":13})

filename="Photovoltaics_Installed_Capacity_and_Production_in_Turkey.svg"

labels = {'title': {"en":"Photovoltaics in Turkey",
                    "de":"Solarenergie in der Türkei",
                    "es":"Energía solar en Turquía",
                    "fr":"Énergie solaire en Turquie"},
          "installed": {"en":"installed capacity (MW)  ",
                        "de":"installierte Leistung (MW)",
                        "es":"capacidad instalada (MW)",
                        "fr":"Puissance installée (MW)"},
          "generation": {"en":"generation (GWh)",
                        "de":"erzeugt (GWh)",
                        "es":"producción de energía (GWh)",
                        "fr":"Production d'électricité (GWh)"}
            }

width =0.3
ax1.bar(np.arange(len(data_installed))- width/2,  data_installed, color='orange', width=width)
ax2.bar([0], [0],  width=width, color='orange', label=labels["installed"]["en"]  )
ax2.bar(np.arange(len(data_generated))+ width/2, data_generated, width=width, color='maroon', label=labels["generation"]["en"])

plt.title(labels["title"]["en"])
ax1.set_ylabel(labels["installed"]["en"])
ax2.set_ylabel(labels["generation"]["en"])

ax1.set_xlabel("Source: https://fr.wikipedia.org/wiki/Énergie_solaire_en_Turquie", fontsize='xx-small')

plt.legend(loc='upper left', borderaxespad=1.5)
plt.tight_layout()

plt.savefig(filename)
#plt.show()

# create multilingual labels with the svg switch element
with open(filename, mode="r",encoding='utf-8') as svgfile:
    svg = etree.parse(svgfile, etree.XMLParser()).getroot()
for label, values in labels.items():
    for el in svg.findall(".//{" + svg.nsmap[None] + "}text"):
        if el.text == values["en"]:
            switch = etree.SubElement(el.getparent(), "switch")
            for lang, text in values.items():
                el2 = deepcopy(el)
                el2.set("systemLanguage", lang)
                el2.text = text
                switch.append(el2)
            switch.append(el)
with open(filename, mode='w', encoding='utf-8') as svgfile:
    svgfile.write(etree.tostring(svg, pretty_print=True, encoding="unicode"))