"""
Plot overview plot for each country separately
"""
import matplotlib.pyplot as pp
from mpl_toolkits.axisartist.parasite_axes import HostAxes, ParasiteAxes
import numpy as np
import time as time_module
import pickle
basename="all_"

def plot(data, countries, pop):
    figsize = (10,5)

    for loc in data:
        name = basename+loc
        time, new_cases, new_deaths, total_cases, total_deaths = data[loc]
        
        fig, ax1 = pp.subplots(num=name, figsize=figsize)

        ax2 = ax1.twinx()
        ax2.plot(time, np.array(total_deaths)*10, label="Total deaths (x10)", marker="", linestyle="--", color="green")
        ax2.plot(time, total_cases, label=f"Total cases", marker="", linestyle="-", color="blue")

        ax1.plot(time, np.array(new_deaths)*10, label="raw new deaths (x10)", color="grey", linestyle=":")
        ax1.plot(time[3:-3], np.convolve(new_deaths, np.ones((7,))/7, mode="valid")*10, label="new deaths 7day mean (x10)", color="black", linestyle="--", linewidth=2)

        ax1.plot(time, new_cases, label="raw new cases", color="grey", linestyle="-")
        ax1.plot(time[3:-3], np.convolve(new_cases, np.ones((7,))/7, mode="valid"), label="new cases 7day mean", color="orange", linestyle="-", linewidth=2)


        # fix lower bound of plot
        for ax in (ax1, ax2):
            axis = ax.axis()
            ax.axis([axis[0], axis[1], -1, axis[3]])

        # disabled for now: put second total-cases-per-million-inhabitants axis besides total-cases-axis
        if loc in pop and False:
            # according to https://matplotlib.org/3.2.2/gallery/axisartist/demo_parasite_axes.html
            host1 = HostAxes(ax1, [0.15, 0.1, 0.65, 0.8])
            par1 = ParasiteAxes(host1, sharex=host1)
            host1.append(par1)
            host2 = HostAxes(ax2, [0.15, 0.1, 0.65, 0.8])
            par2 = ParasiteAxes(host2, sharex=host1)
            host2.append(par2)
            



            ax3 = ax1.twinx()
            ax3.plot(time, total_cases*1e6/pop[loc]['pop'], linestyle="", marker="")
            ax3.set_ylabel("total cases per 1M inhabitants")

        #ax1.xticks(rotation=45)
        #ax1.set_xlabel("date")
        ax1.set_ylabel("new cases")
        ax2.set_ylabel("total cases")
        fig.legend(frameon=False, loc="upper left", bbox_to_anchor=(0,1), bbox_transform=ax1.transAxes)
        if loc in pop:
            pp.title(f"{loc}, population = "+f"{pop[loc]['pop']:,}".replace(",","."))
        else:
            pp.title(loc)
        fig.tight_layout()
        pp.text(0.002,0.005, f"plot generated {time_module.strftime('%Y-%m-%d %H:%M')}, CC-by-sa-nc, origin: dukun.de/corona, datasource: ourworldindata.org/coronavirus-source-data", color="dimgrey", fontsize=8, transform=fig.transFigure)

        pp.savefig("ac_"+name+".png")
        pp.close(fig)