""" makes animation of star moving behind ring system.

python ring_animation_press_release.py -r 54220.65.try9.33kms.fits -s 33000.

ffmpeg -r 25 -vsync 1 -i _tmp%04d.png -f mp4 -qscale 5 -vcodec libx264 -pix_fmt yuv420p animation.mp4

"""

import sys, getopt

import matplotlib.pyplot as plt

import numpy as np

import exorings

import matplotlib as mpl

import j1407

from scipy.interpolate import UnivariateSpline

from matplotlib.patches import Circle, Wedge

from matplotlib.collections import PatchCollection

from scipy.interpolate import InterpolatedUnivariateSpline

from astropy.time import Time

# set numbers to not go to sci notation

# and make sure that no offset (e.g. +2.71e5) appears on axes

mpl.rc('axes.formatter', useoffset=False, limits=(-7, 9))

# set sensible imshow defaults

mpl.rc('image', interpolation='nearest', origin='lower', cmap='gray')

# read in j1407 photometry

(time, flux, flux_err) = j1407.j1407_photom_binned('j1407_bincc.dat', 54160.0, 54300.0)

print 'number of photometric points: %d' % time.size

# get j1407 gradients

(grad_time, grad_mag, grad_mag_norm) = j1407.j1407_gradients('j1407_gradients.txt')

# parse command line options

try:

opts, args = getopt.getopt(sys.argv[1:], "hr:o:s:", ["rfile=", "ofile=", "vstar="])

except getopt.GetoptError:

print '%s -r <inputfile> -s <velocity in metres per second> -o <outputfile>' % sys.argv[0]

sys.exit(2)

for opt, arg in opts:

if opt == '-h':

print help

sys.exit()

elif opt in ("-r", "--rfile"):

fitsin = arg

elif opt in ("-o", "--ofile"):

plotout = arg

elif opt in ("-s", "--vstar"):

v = np.array(float(arg))

print 'Reading in ring and disk parameters from %s' % fitsin

(res, taun_rings, rad_rings, dstar) = exorings.read_ring_fits(fitsin)

exorings.print_ring_tau(rad_rings, exorings.y_to_tau(taun_rings))

# set up stellar disk

kern = exorings.make_star_limbd(21, 0.8)

# make the radius and projected gradient for the measured gradient points

(ring_disk_fit, grad_disk_fit) = exorings.ring_grad_line(grad_time, res[0], res[1], res[2], res[3])

# produce fine grained gradient and ring values

samp_t = np.arange(-100, 100, 0.001) + 54222.

(samp_r, samp_g) = exorings.ring_grad_line(samp_t, res[0], res[1], res[2], res[3])

hjd_minr = samp_t[np.argmin(samp_g)]

# times when there is no photometry

(rstart, rend) = exorings.ring_mask_no_photometry(kern, dstar, time, res[0], res[1], res[2], res[3])

rmask = (rstart < 40)

rstart = rstart[rmask]

rend = rend[rmask]

# print disk parameters

exorings.print_disk_parameters(res, hjd_minr, samp_r)

# smoothed curve useful for animation tracking

splfunc = UnivariateSpline(time, flux, s=5)

# make the plots

ringcolor = 'orange'

bgndcolor = 'black'

fig_ringsv = plt.figure('ringsv', figsize=(10, 7))

fig_ringsv.patch.set_facecolor(bgndcolor)

p1v = plt.axes([0.0, 0.3, 1.0, 0.7], axisbg=bgndcolor)

#p1v.axis('scaled')

# why am I not using this 'scaled' to make the rings have the correct

# aspect ratio?

# it turns out that if you use 'scaled' the values reported from

# p1v.axis() are not updated at all - they stick with 'default' values

# of -50 to +50. So, to draw the clock below, I cannot use transform()

# functions and instead rely on getting the correct aspect ratio as

# reported for the p1v.transAxes below.....

# find out pixel values for the ring window

x0, y0 = p1v.transAxes.transform((0, 0)) # lower left in pixels

x1, y1 = p1v.transAxes.transform((1, 1)) # upper right in pixes

dx = x1 - x0

dy = y1 - y0

xtoy_scale = dx/dy

p2v = plt.axes([0.1, 0.05, 0.87, 0.25], sharex=p1v, axisbg=bgndcolor)

files = []

i = 0

nframes = 3

timeframes = np.linspace(54192.56, 54262, nframes)

#timeframes = np.linspace(54192.56, 54193.56, nframes)

fps = 25 # frames per second in final animation

# xps = 3.0 day / second

x_time = np.array([ 54190., 54195, 54196., 54203.5, 54204.5, 54209.0, 54210.0, 54230, 54232., 54250.0])

xps = np.array([ 1.0, 1.0, 3.0, 3.0, 0.5, 0.5, 3.0, 3.0, 2.0, 2.0]) / fps

zoom = np.array([ 10, 10, 10, 10, 3, 3, 10, 10, 30, 30])

alpt = np.array([ 1.0, 1.0, 0., 0., 0., 0., 0., 0., 0., 0.])

# make functions that return xps and zoom for a given x_time

fxps = InterpolatedUnivariateSpline(x_time, xps, k=1)

fzoom = InterpolatedUnivariateSpline(x_time, zoom, k=1)

falpt = InterpolatedUnivariateSpline(x_time, alpt, k=1)

# walk along from first value to last value

frame = x_time[0]

p_curr = x_time[0]

while p_curr < x_time[-1]:

frame = np.append(frame, p_curr)

p_curr += fxps(p_curr)

frame_zoom = fzoom(frame)

frame_alpt = falpt(frame)

# generating 'fade in and out' for text

# ring gap

x_ti = np.array([ 54190., 54203.5, 54204.5, 54206.0, 54206.5 , 54250.0])

alph1 = np.array([ 0.0, 0.0, 1.0, 1.0, 0., 0.])

falph1 = InterpolatedUnivariateSpline(x_ti, alph1, k=1)

frame_alph1 = falph1(frame)

# missing data

x_ti = np.array([ 54190., 54217. , 54218., 54225., 54226., 54250.0])

alph2 = np.array([ 0.0, 0.0, 1.0, 1.0, 0., 0.])

falph2 = InterpolatedUnivariateSpline(x_ti, alph2, k=1)

frame_alph2 = falph2(frame)

print '%d frames to generate' % frame.size

for now_hjd, now_zoom in zip(frame, frame_zoom):

p1v.cla()

p2v.cla()

exorings.draw_rings_vector(rad_rings, exorings.y_to_tau(taun_rings), \

res[1], res[2], res[3], p1v, ringcolor)

# if (badrings):

#draw_badrings(rstart, rend, res[1], res[2], res[3], p1v)

# plot J1407b

circ2 = plt.Circle((res[1], 0), radius=0.1, color='brown', zorder = 12)

p1v.add_patch(circ2)

p1v.text(res[1], 0.5, 'J1407b', zorder=12, color='black', fontsize=14, \

fontweight='bold', va='bottom', ha='center')

# draw star

circ = plt.Circle((now_hjd, res[0]), radius=dstar/2., color='yellow', zorder = -20)

p1v.add_patch(circ)

# setting the zoom of the plot

# this makes sure that p1v is centred on the star impact parameter

p1v.set_xlim(now_hjd - now_zoom, now_hjd + now_zoom)

now_y_zoom = now_zoom / xtoy_scale

p1v.set_ylim(res[0] - now_y_zoom, res[0] + now_y_zoom)

# remove the axis box

p1v.set_axis_off()

strip, convo, g = exorings.ellipse_strip(rad_rings, exorings.y_to_tau(taun_rings), \

res[0], res[1], res[2], res[3], kern, dstar)

# error bars on the photometry

p2v.errorbar(time, flux, flux_err, fmt='o', ecolor='r', capsize=0, \

elinewidth=5, zorder=10)

p2v.scatter(time, flux, marker='o', edgecolor='none', s=40, \

facecolor='yellow', zorder=20)

p2v.scatter(time, flux, marker='o', edgecolor='none', s=4, \

facecolor='black', zorder=20)

# make the frames white

for child in p2v.get_children():

if isinstance(child, mpl.spines.Spine):

child.set_color('white')

p2v.tick_params(axis='both', colors='white')

daynumber = np.floor(now_hjd)

dayfrac = now_hjd - daynumber

t = Time(daynumber, format='mjd', scale='utc')

outt = Time(t, format='iso', out_subfmt='date')

tyb = dict(color='white', fontsize=16, fontweight='bold', va='center', \

ha='left')

# text relative to plot box

p1v.text(0.78, 0.85, outt, \

transform=p1v.transAxes, **tyb)

fit_time = g[0]

fit_flux = g[1]

p2v.plot(fit_time[(fit_time < now_hjd)], \

fit_flux[(fit_time < now_hjd)], \

linewidth=5, color=ringcolor)

# now vertically zoom the lower plot centred on the splined fit

(x1, x2, y1, y2) = p2v.axis()

dy = 0.5

p2v.axis((x1, x2, -0.05, 1.1))

p2v.ticklabel_format(axis='both', scilimits=(-2, 9))

p2v.text(0.95, 0.05, 'Modified Julian Date [days]', \

transform=p2v.transAxes, \

color='white', fontsize=12, fontweight='bold', va='bottom', \

ha='right')

# make ticks thicker

for isaa in p2v.spines.itervalues(): # ... and go over all the axes too...

isaa.set_linewidth(2)

# set the tick lengths and tick widths

p2v.tick_params('both', length=5, width=2, which='major')

p2v.set_ylabel('Star Brightness',color='white', fontweight='bold')

# draw text annotations

# time clock as a pie chart

# I want to keep the clock in one part of the screen but with the

# correct aspect ratio. The ring system coord system has Aspect =

# 1.0, so if we take a centre point and the 12 o'clock point for the

# time clock in the display coords, we can then find their positions

# in the axes coords and draw a circle there.

clock_centre = p1v.transAxes.transform((0.95,0.85))

clock_up = p1v.transAxes.transform((0.95,0.88))

# now transform to p1v coords

inv = p1v.transData.inverted()

clock_cenp = inv.transform(clock_centre)

clock_upp = inv.transform(clock_up)

radius = clock_upp[1] - clock_cenp[1]

p1v.add_patch(Circle(clock_cenp, radius, color='white') )

# make the time wedge colour swap with the background colour

# every other day, so that the colour change at midnight isn't so

# jarring

wedcol = 'black'

if daynumber%2 :

wedcol = 'white'

p1v.add_patch(Circle(clock_cenp, radius*0.9, color='black') )

if dayfrac < 0.25:

p1v.add_patch(Wedge(clock_cenp, radius * 0.9, 360.*(0.25-dayfrac), 90., \

color=wedcol) )

else:

p1v.add_patch(Wedge(clock_cenp, radius * 0.9, 0., 90., \

color=wedcol) )

p1v.add_patch(Wedge(clock_cenp, radius * 0.9, 450.-(360.*dayfrac), 360., \

color=wedcol) )

# text animations

s1 = 'Modelling Giant Extrasolar Ring Systems in Eclipse\n and the Case of J1407b: Sculpting by Exomoons?\n\nM.A. Kenworthy and E.E. Mamajek\n\nTo be published in\nthe Astrophysical Journal'

# text relative to plot box

tyc = dict(color='white', fontsize=16, fontweight='bold', va='center', \

ha='center', alpha = frame_alpt[i])

p1v.text(0.5, 0.81, s1, \

transform=p1v.transAxes, **tyc)

p1v.text(0.5, 0.45, 'The star J1407', \

transform=p1v.transAxes, **tyc)

p2v.text(54187, 0.75, 'Yellow with black dots are measurements of J1407', \

color='white', fontsize=12, fontweight='bold', alpha=frame_alpt[i] )

p2v.text(54204.9, 0.2, 'Ring gap?', \

color='white', fontsize=12, ha='center', fontweight='bold', alpha=frame_alph1[i] )

p2v.arrow(54204.9, 0.4, 0., 0.2, \

head_width=0.1, head_length=0.1, width=0.02, \

fc='white', ec='white', alpha=frame_alph1[i])

p2v.text(54220.0, 0.6, 'No data taken', \

color='white', fontsize=12, fontweight='bold', alpha=frame_alph2[i] )

p1v.text(0.7, 0.1, 'Julian Days', \

transform=p2v.transAxes, **tyc)

# write out image

fname = '_tmp%04d.png' % i

print 'Saving frame', fname

fig_ringsv.savefig(fname, facecolor=fig_ringsv.get_facecolor(), edgecolor='none')

files.append(fname)

i += 1

#print 'Making movie animation.mpg - this make take a while'

#os.system("mencoder 'mf://_tmp*.png' -mf type=png:fps=25 -ovc lavc -lavcopts vcodec=ljpeg -oac copy -o animation.mpg")

# mencoder 'mf://_tmp*.png' -mf type=png:fps=5 -ovc lavc -lavcopts vcodec=ljpeg -oac copy -o animation.mpg

# QuickTime movie

# ffmpeg -r 25 -vsync 1 -i _tmp%04d.png -f mp4 -qscale 5 -vcodec libx264 -pix_fmt yuv420p animation.mp4