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

# Photovoltaics Installed Capacity and Production in Greece
# Installed Capacity data from https://en.wikipedia.org/wiki/Solar_power_in_the_European_Union
# Production data from https://fr.wikipedia.org/wiki/Énergie_solaire_en_Grèce
# multilingual

data=[
# show_X, year, MWpeak, Production (GWh) 
[' ',2009, 55   ,50 ] ,
[' ',2010, 205  ,158 ] ,
['x',2011, 631  ,610 ] ,
[' ',2012, 1543 ,1694 ] ,
[' ',2013, 2579 ,3648 ] ,
['x',2014, 2596 ,3792 ] ,
[' ',2015, 2604 ,3900 ] ,
[' ',2016, 2604 ,3930 ] ,
['x',2017, 2606 ,3991 ] ,
[' ',2018, 2652 ,3791 ] ,
[' ',2019, 2834 ,4429 ] ,
['x',2020, 3288 ,4446 ] ,
[' ',2021, 4277 ,5250 ] ,
[' ',2022, 5430 ,7139 ] ,
['x',2023, 7030 ,8279 ] ,
[' ',2024, 9269 ,10000]
]
# 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_Greece.svg'
delta= "  "+ str(min(all_years)) + "-" + str(max(all_years))

labels = {'title': {"en":"Photovoltaics in Greece "+ delta,
                    "de":"Solarenergie in Griechenland "+ delta,
                    "es":"Energía solar en Grecia "+ delta,
                    "fr":"Énergie solaire en Grèce "+ delta},
          "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://en.wikipedia.org/wiki/Solar_power_in_the_European_Union and https://fr.wikipedia.org/wiki/Énergie_solaire_en_Grèce", 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"))