import numpy as np
import h5py
import os

import mercury as mr

import sys
sys.path.append('/plot_scripts/')
from map_packages_colors_all import *
from plot_scripts_all import *

# print(" Tasks to choose from : ")
# print(" Heisenberg dynamics (hdyn), Random Quantum Circuits (rqc), Quantum Fourier Transform (qft)")
# print("###############################")
# print(" Compute capability choices for packages :")
# print(" singlethread, multithread, gpu")
# print("###############################")
# print(" Precision choices for different compute capabilities :")
# print(" sp (single precision), dp (double precision)")
# print("###############################")

# task_1 = input(" Enter the task to compare : ")
# package_1 = input(" Enter the choice of the package, package 1 : ")
# p_com_cap = input(" Enter the choice of the compute capability : ")
# p_prec = input(" Enter the choice of the precision : ")

package_str = ['qiskit' , 'cirq', 'qsimcirq', 'pennylane', 'pennylane_l', 'qibo', 'qibojit', 'yao', 'quest', 'qulacs', 'intel_qs_cpp', 'projectq', 'svsim',  'hybridq', 'hiq', 'qcgpu', 'qrack_sch', 'cuquantum_qiskit', 'cuquantum_qsimcirq', 'qpanda', 'qpp', 'myqlm', 'myqlm_cpp', 'braket']

def abs_time(t, cc, pr, compare_pack, N_end):

    if t == "Heisenberg dynamics":
        t = "hdyn"
    elif t == "Random Quantum Circuit":
        t = "rqc"
    elif t == "Quantum Fourier Transform":
        t = "qft"

    if cc == "Singlethread":
        cc = "singlethread"
    elif cc == "Multithread":
        cc = "multithread"
    elif cc == "GPU":
        cc = "gpu"

    if pr == "Single":
        pr = "sp"
    elif pr == "Double":
        pr = "dp"

    fig, ax = plt.subplots()

    dir = os.getcwd()

    pack_list = []

    mr.Md(f"TtS performance of the different packages")

    for package in package_str:
        data_file = dir + '/data/{}/{}_{}_{}.h5'.format(t, package, cc, pr)

        if os.path.isfile(data_file):
            h5f = h5py.File(data_file, 'r')
            dat = h5f[storage_dict[package]][:]
            h5f.close()
            pack_list.append(package)

            if t == 'hdyn' or t == 'qft':
                N_arr = range(6, N_end, 2)
            else:
                N_arr = range(12, N_end, 2)
            plot_abs_data_n_arr(N_arr, dat, package+'_'+t+'_'+cc+'_'+pr)

    # save_flag = input("Do you want to save the plot?")
    # if save_flag == "Y":
    #     gen_settings(fig, ax, r"N (system size)", r"Time ($t_{package}$)", False, True, True, 10**-1, 10**5, "out", "perf_{}_{}_{}_{}_{}_{}_{}_{}.pdf".format(t1, p1, p1_cc, p1_pr, t2, p2, p2_cc, p2_pr))
    # else:
    gen_settings(fig, ax, r"N (system size)", r"Time ($t_{package}$)", False, True, True, N_arr[0]-2, N_arr[-1], True, 10**-1, 10**5, "out", None)
    # else:
    #     print(" Re-select the options as the requested option data is not available.")

    if compare_pack not in pack_list:
        mr.Md(f"For relative performance select one from the list: , {pack_list}")
        # mr.Md(" Select one package from the list ")

    else:
        mr.Md("___")
        mr.Md(f"Relative performance to the package {compare_pack}")

        fig, ax = plt.subplots()

        p_main = dir + '/data/{}/{}_{}_{}.h5'.format(t, compare_pack, cc, pr)
        h5f = h5py.File(p_main, 'r')
        main_dat = h5f[storage_dict[compare_pack]][:]
        h5f.close()

        for package in package_str:
            dat_file = dir + '/data/{}/{}_{}_{}.h5'.format(t, package, cc, pr)
            if os.path.isfile(dat_file):
                h5f = h5py.File(dat_file, 'r')
                dat = h5f[storage_dict[package]][:]
                h5f.close()
                plot_comp_data_n_arr(N_arr, dat, main_dat, package+'_'+t+'_'+cc+'_'+pr)

        # gen_settings(fig, ax, xlabel_str, ylabel_str, log_x_on, log_y_on, xlim_on, xlim_low, xlim_upp, ylim_on, ylim_low, ylim_upp, leg_loc, fn):
        gen_settings(fig, ax, r"N (system size)", r"Relative time", False, True, True, N_arr[0]-2, N_arr[-1], True, 10**-1, 10**3, "out", None)

# pkg_str = ['qiskit' , 'cirq', 'qsimcirq', 'pennylane', 'pennylane_l', 'qibo', 'qibojit', 'yao', 'quest', 'qulacs', 'intel_qs_cpp', 'projectq', 'svsim',  'hybridq', 'hiq', 'qcgpu', 'qrack_sch']

# abs_time(pkg_str, task_1, p_com_cap, p_prec)
# abs_time("Heisenberg dynamics", "Singlethread", "Single", 'qsimcirq', 34)