import os
import numpy
import matplotlib

from plotting import plt
from particles import Particle
from library.SM import particles as SMP, interactions as SMI
from evolution import Universe
from common import UNITS, Params


folder = os.path.split(__file__)[0]

T_initial = 50. * UNITS.MeV
T_final = 10 * UNITS.MeV
params = Params(T=T_initial,
                dy=0.025)

universe = Universe(params=params, logfile=os.path.join(folder, 'log.txt'))

photon = Particle(**SMP.photon)
electron = Particle(**SMP.leptons.electron)
neutrino_e = Particle(**SMP.leptons.neutrino_e)
neutrino_mu = Particle(**SMP.leptons.neutrino_mu)
neutrino_tau = Particle(**SMP.leptons.neutrino_tau)

universe.add_particles([
    photon,
    electron,
    neutrino_e,
    neutrino_mu,
    neutrino_tau,
])

neutrinos = [neutrino_e, neutrino_mu, neutrino_tau]
for neutrino in neutrinos:
    neutrino.decoupling_temperature = T_initial

universe.interactions += \
    SMI.neutrino_interactions(leptons=[electron], neutrinos=neutrinos)

universe.graphics.monitor(particles=neutrinos)


universe.evolve(T_final)

universe.graphics.save(__file__)

plt.ion()

plt.figure(9)
plt.title('Figure 9')
plt.xlabel('MeV/T')
plt.ylabel(u'aT')
plt.xscale('log')
plt.xlim(0.5, UNITS.MeV/universe.params.T)
plt.xticks([1, 2, 3, 5, 10, 20])
plt.axes().get_xaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter())
plt.plot(UNITS.MeV / numpy.array(universe.data['T']), numpy.array(universe.data['aT']) / UNITS.MeV)
plt.show()
plt.savefig(os.path.join(folder, 'figure_9.svg'))

plt.figure(10)
plt.title('Figure 10')
plt.xlabel('Conformal momentum y = pa')
plt.ylabel('f/f_eq')
plt.xlim(0, 20)

f_e = neutrino_e._distribution
feq_e = neutrino_e.equilibrium_distribution()
plt.plot(neutrino_e.grid.TEMPLATE/UNITS.MeV, f_e/feq_e, label="nu_e")

f_mu = neutrino_mu._distribution
feq_mu = neutrino_mu.equilibrium_distribution()
plt.plot(neutrino_mu.grid.TEMPLATE/UNITS.MeV, f_mu/feq_mu, label="nu_mu")

f_tau = neutrino_tau._distribution
feq_tau = neutrino_tau.equilibrium_distribution()
plt.plot(neutrino_tau.grid.TEMPLATE/UNITS.MeV, f_tau/feq_tau, label="nu_tau")

plt.legend()
plt.draw()
plt.show()
plt.savefig(os.path.join(folder, 'figure_10_full.svg'))

plt.xlim(0, 10)
plt.ylim(0.99, 1.06)
plt.draw()
plt.show()
plt.savefig(os.path.join(folder, 'figure_10.svg'))

distributions_file = open(os.path.join(folder, 'distributions.txt'), "w")
numpy.savetxt(distributions_file, (f_e, feq_e, f_e/feq_e), header=str(neutrino_e),
              footer='-'*80, fmt="%1.5e")
numpy.savetxt(distributions_file, (f_mu, feq_mu, f_mu/feq_mu), header=str(neutrino_mu),
              footer='-'*80, fmt="%1.5e")
numpy.savetxt(distributions_file, (f_tau, feq_tau, f_tau/feq_tau), header=str(neutrino_tau),
              footer='-'*80, fmt="%1.5e")

distributions_file.close()

import ipdb
ipdb.set_trace()

raw_input("...")