import argparse
from collections import namedtuple
from math import log10

import matplotlib
import matplotlib.animation as animation
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.cm import ScalarMappable
from matplotlib.collections import PathCollection
from matplotlib.colors import Normalize, Colormap
from matplotlib.text import Text
from rebound import SimulationArchive, Particle

from extradata import ExtraData, ParticleData
from utils import filename_from_argv


class MyProgramArgs(argparse.Namespace):
    save_video: bool
    log_time: bool
    fps: int
    duration: int
    y_axis: str


plt.style.use("dark_background")
cmap: Colormap = matplotlib.cm.get_cmap('Blues')


def update_plot(num: int, args: MyProgramArgs, sa: SimulationArchive, ed: ExtraData, dots: PathCollection, title: Text):
    total_frames = args.fps * args.duration
    if args.log_time:
        log_timestep = (log10(ed.meta.current_time) - log10(50000)) / total_frames
        time = 10 ** ((num + log10(50000) / log_timestep) * log_timestep)
    else:
        timestep = ed.meta.current_time / total_frames
        time = num * timestep
    print(time)
    sim = sa.getSimulation(t=time)
    if time < 1e3:
        timestr = f"{time:.0f}"
    elif time < 1e6:
        timestr = f"{time / 1e3:.2f}K"
    else:
        timestr = f"{time / 1e6:.2f}M"
    title.set_text(f"({len(sim.particles)}) {timestr} Years")

    p: Particle

    water_fractions = []
    for p in sim.particles[1:]:
        pd: ParticleData = ed.pd(p)
        wf = pd.water_mass_fraction
        water_fractions.append(wf)
    # a, e, i, M, M_rat = data[line]
    # title.set_text(f"({len(a)}) {ages[line]:.2f}K Years")
    a = [p.a for p in sim.particles[1:]]
    m = np.array([p.m for p in sim.particles[1:]])
    m[:2] /= 1e2

    if args.y_axis == "e":
        bla = np.array([a, [p.e for p in sim.particles[1:]]])
    elif args.y_axis == "i":
        bla = np.array([a, [p.inc for p in sim.particles[1:]]])
    elif args.y_axis == "Omega":
        bla = np.array([a, [p.Omega for p in sim.particles[1:]]])
    else:
        raise ValueError("invalid y-axis")
    dots.set_offsets(bla.T)
    water_fractions = np.array(water_fractions)
    color_val = (np.log10(water_fractions) + 5) / 5
    colors = cmap(color_val)
    dots.set_sizes(3 * m / np.mean(m[3:]))
    dots.set_color(colors)
    # plt.savefig("tmp/" + str(num) + ".pdf",transparent=True)
    return dots, title


def main(args: MyProgramArgs):
    total_frames = args.fps * args.duration

    logtime = False
    cmap: Colormap = matplotlib.cm.get_cmap("Blues")

    fig1 = plt.figure(figsize=(15, 10))

    l: PathCollection = plt.scatter([1], [1])

    fn = filename_from_argv()
    sa = SimulationArchive(str(fn.with_suffix(".bin")))
    ed = ExtraData.load(fn)

    plt.xlim(0, 10)
    plt.xlabel("a")
    title: Text = plt.title("0")

    if args.y_axis == "e":
        plt.ylim(-0.1, 1)  # e
        plt.ylabel("e")
    elif args.y_axis == "i":
        plt.ylim(0, 4)  # i
        plt.ylabel("i")
    elif args.y_axis == "Omega":
        plt.ylim(0, 360)  # i
        plt.ylabel("Omega")

    # plt.yscale("log")
    # plt.ylim(1e-7,1e-3)

    # plt.ylim(-0.05, 0.2)  # i
    # plt.ylabel("water_fraction")

    fig1.colorbar(ScalarMappable(norm=Normalize(vmin=-5, vmax=0), cmap=cmap), label="log(water fraction)")

    plt.tight_layout()
    line_ani = animation.FuncAnimation(fig1, update_plot, total_frames, fargs=(args, sa, ed, l, title),
                                       interval=1000 / args.fps, repeat=False)
    if args.save_video:
        name=f"{args.y_axis}_{args.log_time}"
        line_ani.save(str(fn.with_suffix(f".{name}.mp4")), dpi=200)
    else:
        plt.show()


if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        description="create a video showing ",
        formatter_class=argparse.ArgumentDefaultsHelpFormatter
    )
    parser.add_argument("file")
    parser.add_argument("-v", "--save-video", action="store_true",
                        help="save video as .mp4 file")
    parser.add_argument("-l", "--log-time", action="store_true", help="logarithmic time")
    parser.add_argument("--fps", default=5, type=int,
                        help="frames per second")
    parser.add_argument("--duration", default=10, type=int,
                        help="duration in seconds")
    parser.add_argument("--y-axis", default="e", type=str, choices=["e", "i", "Omega"],
                        help="what to show on the y-axis")
    ArgNamespace = namedtuple('ArgNamespace', ['some_arg', 'another_arg'])
    args = parser.parse_args()
    print(vars(args))
    print(args.save_video)
    # noinspection PyTypeChecker
    main(args)