from alice import Alice
from bob import Bob
from channel import ChannelSym
from threading import Thread
import typing

from eve import EveBS


def run_qkd(alice: Alice, bob: Bob, n: int = 1000):
    alice_thread = Thread(target=lambda: alice.generate_key(n))
    bob_thread = Thread(target=lambda: bob.generate_key(n))
    alice_thread.start()
    bob_thread.start()
    while alice_thread.is_alive() or bob_thread.is_alive():
        pass


def get_e_and_r(alice, bob, n=1000) -> typing.Tuple[float, float]:
    return 1 - sum(k1 == k2 for k1, k2 in zip(alice.key, bob.key)) / len(alice.key), len(alice.key) / n


channel_parameters = {'p_opt': 0.05, 'p_dc': 0.05, 'mu': 1, 'detector_sensitivity': 0.8, 'transmittance': 0.8}


def plot(parameter, values, add_eve: bool = True):
    data_r, data_e = [], []
    n = 1000
    for val in values:
        print(val)
        channel = ChannelSym(**{parameter: val})
        alice, bob = Alice(channel), Bob(channel)
        if add_eve:
            eve = EveBS()
            channel.eve = eve
        run_qkd(alice, bob, n)
        e, r = get_e_and_r(alice, bob, n)
        data_r.append(r)
        data_e.append(e)
    from matplotlib import pyplot as plt
    plt.plot(values, data_r)
    plt.plot(values, data_e)
    plt.legend(['R', 'E'])
    plt.xlabel({'p_dc': '$p_{dc}$'}.get(parameter, parameter))
    plt.title('$R$ and $E$ vs. ' + {'p_dc': '$p_{dc}$'}.get(parameter, parameter) + ' with Eve' * add_eve)
    plt.show()


def run_one():
    N = 1000
    channel = ChannelSym()
    alice, bob = Alice(channel), Bob(channel)
    run_qkd(alice, bob)
    # print(list(map(int, alice.key)))
    # print(list(map(int, bob.key)))
    print('Alice bits:   ', *list(map(int, alice.sent)))
    print('Bob bits:     ',
          *list(map(lambda t: {(0, 1): 1, (1, 0): 0, (0, 0): 2, (1, 1): 3}[(int(t[0]), int(t[1]))], bob.my_results)))
    print('Alice basises:', *list(map(int, alice.my_basises)))
    print('Bob basises:  ', *list(map(int, bob.my_basises)))
    bob_correctness = [left + right == 1 for left, right in bob.my_results]
    print('              ', *[
        int(k) if c and b1 == b2 else ' '
        for c, k, b1, b2 in zip(bob_correctness, alice.sent, bob.my_basises, alice.my_basises)])
    print('              ', *[
        {(0, 1): 1, (1, 0): 0, (0, 0): 2, (1, 1): 3}[(int(k[0]), int(k[1]))] if c and b1 == b2 else ' '
        for c, k, b1, b2 in zip(bob_correctness, bob.my_results, bob.my_basises, alice.my_basises)])
    print(
        f'{100 * sum(k1 == k2 for k1, k2 in zip(alice.key, bob.key)) / len(alice.key):.2f}%, '
        f'key length: {len(alice.key)}')
    e, r = get_e_and_r(alice, bob, N)
    print(f'E: {e * 100:.1f}%, R: {r}')


if __name__ == '__main__':
    import numpy as np
    plot('p_dc', np.arange(0, 0.1, 0.01))