import matplotlib

matplotlib.use("Agg")
from pylab import *
import h5py

# Plot parameters
params = {
    "axes.labelsize": 10,
    "axes.titlesize": 10,
    "font.size": 12,
    "legend.fontsize": 12,
    "xtick.labelsize": 10,
    "ytick.labelsize": 10,
    "text.usetex": True,
    "figure.figsize": (3.15, 3.15),
    "figure.subplot.left": 0.145,
    "figure.subplot.right": 0.99,
    "figure.subplot.bottom": 0.11,
    "figure.subplot.top": 0.99,
    "figure.subplot.wspace": 0.15,
    "figure.subplot.hspace": 0.12,
    "lines.markersize": 6,
    "lines.linewidth": 3.0,
}
rcParams.update(params)


import numpy as np
import h5py as h5
import sys

# File containing the total energy
stats_filename = "./energy.txt"

# First snapshot
snap_filename = "Isothermal_0000.hdf5"
f = h5.File(snap_filename, "r")

# Read the units parameters from the snapshot
units = f["InternalCodeUnits"]
unit_mass = units.attrs["Unit mass in cgs (U_M)"]
unit_length = units.attrs["Unit length in cgs (U_L)"]
unit_time = units.attrs["Unit time in cgs (U_t)"]

# Read the header
header = f["Header"]
box_size = float(header.attrs["BoxSize"][0])

# Read the properties of the potential
parameters = f["Parameters"]
R200 = 100
Vrot = float(parameters.attrs["IsothermalPotential:vrot"])
centre = [box_size / 2, box_size / 2, box_size / 2]
f.close()

# Read the statistics summary
file_energy = np.loadtxt("energy.txt")
time_stats = file_energy[:, 0]
E_kin_stats = file_energy[:, 3]
E_pot_stats = file_energy[:, 5]
E_tot_stats = E_kin_stats + E_pot_stats

# Read the snapshots
time_snap = np.zeros(402)
E_kin_snap = np.zeros(402)
E_pot_snap = np.zeros(402)
E_tot_snap = np.zeros(402)
Lz_snap = np.zeros(402)

# Read all the particles from the snapshots
for i in range(402):
    snap_filename = "Isothermal_%0.4d.hdf5" % i
    f = h5.File(snap_filename, "r")

    pos_x = f["PartType1/Coordinates"][:, 0]
    pos_y = f["PartType1/Coordinates"][:, 1]
    pos_z = f["PartType1/Coordinates"][:, 2]
    vel_x = f["PartType1/Velocities"][:, 0]
    vel_y = f["PartType1/Velocities"][:, 1]
    vel_z = f["PartType1/Velocities"][:, 2]
    mass = f["/PartType1/Masses"][:]

    r = np.sqrt(
        (pos_x[:] - centre[0]) ** 2
        + (pos_y[:] - centre[1]) ** 2
        + (pos_z[:] - centre[2]) ** 2
    )
    Lz = (pos_x[:] - centre[0]) * vel_y[:] - (pos_y[:] - centre[1]) * vel_x[:]

    time_snap[i] = f["Header"].attrs["Time"]
    E_kin_snap[i] = np.sum(0.5 * mass * (vel_x[:] ** 2 + vel_y[:] ** 2 + vel_z[:] ** 2))
    E_pot_snap[i] = np.sum(mass * Vrot ** 2 * log(r))
    E_tot_snap[i] = E_kin_snap[i] + E_pot_snap[i]
    Lz_snap[i] = np.sum(Lz)

# Plot energy evolution
figure()
plot(time_stats, E_kin_stats, "r-", lw=0.5, label="Kinetic energy")
plot(time_stats, E_pot_stats, "g-", lw=0.5, label="Potential energy")
plot(time_stats, E_tot_stats, "k-", lw=0.5, label="Total energy")

plot(time_snap[::10], E_kin_snap[::10], "rD", lw=0.5, ms=2)
plot(time_snap[::10], E_pot_snap[::10], "gD", lw=0.5, ms=2)
plot(time_snap[::10], E_tot_snap[::10], "kD", lw=0.5, ms=2)

legend(loc="center right", fontsize=8, frameon=False, handlelength=3, ncol=1)
xlabel("${\\rm{Time}}$", labelpad=0)
ylabel("${\\rm{Energy}}$", labelpad=0)
xlim(0, 8)

savefig("energy.png", dpi=200)

# Plot angular momentum evolution
figure()
plot(time_snap, Lz_snap, "k-", lw=0.5, ms=2)

xlabel("${\\rm{Time}}$", labelpad=0)
ylabel("${\\rm{Angular~momentum}}$", labelpad=0)
xlim(0, 8)

savefig("angular_momentum.png", dpi=200)