import argparse
import configparser
import logging
import pathlib

import matplotlib.animation as animation
import matplotlib.pyplot as plt
import numpy as np
<<<<<<< HEAD
=======
import pandas as pd
>>>>>>> olaflow

parser = argparse.ArgumentParser(description="Animate swash output")
parser.add_argument("-v", "--verbose", action="count", default=0)
args = parser.parse_args()

logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("post")

log.info("Starting post-processing")
config = configparser.ConfigParser()
config.read("config.ini")

inp = pathlib.Path(config.get("post", "inp"))
root = pathlib.Path(config.get("swash", "out"))
out = pathlib.Path(config.get("plot", "out"))
out.mkdir(exist_ok=True)

def data(var):
    return np.load(inp.joinpath(f"{var}.npy"))


x = data("xp")
t = data("tsec")

watl = data("watl")
botl = data("botl")
zk = data("zk")
velk = data("velk")
vz = data("vz")

wl = np.maximum(watl, -botl)
# print(x.size, -np.arange(0, 1 * bathy.hstru.size, 1)[::-1].size)

fig, ax = plt.subplots()
# ax.plot(x, -botl, c="k")
# ax.fill_between(
#    x, -botl, -data["botl"] + bathy.hstru, color="k", alpha=0.2
# )

n = 0
vk = np.sqrt((velk[n] ** 2).sum(axis=1))
# print(vk.shape)
# plt.imshow(vk)
# plt.colorbar()

lines = ax.plot(x, zk[n].T, c="#0066cc")
quiv = []
for i in range(10):
    quiv.append(
        ax.quiver(
            x[::50],
            (zk[n, i, ::50] + zk[n, i + 1, ::50]) / 2,
            velk[n, i, 0, ::50],
            vz[n, i, ::50],
            units="dots",
            width=2,
            scale=0.05,
        )
    )

ax.autoscale(True, "w", True)
ax.set_ylim(top=15)


def animate(k):
    for i, q in enumerate(quiv):
        q.set_UVC(
            velk[k, i, 0, ::50],
            vz[k, i, ::50],
        )
    for i, l in enumerate(lines):
        l.set_ydata(zk[k, i])
    return *quiv, *lines


ani = animation.FuncAnimation(
    fig, animate, frames=wl[:, 0].size, interval=20, blit=True
)

ani.save(out.joinpath("layers.mp4", codec="h265"))