#!/usr/bin/env python

from time import sleep
from collections import deque
import numpy as np
import scipy.signal

from zoetrope import aniplot as plt
from bstrd import BS, bsstream
plt.blit = False
plt.style.use('ggplot')

def unpumpedXrays(events, *arrays):
    laser = events[:, 18]
    darkShot = events[:, 21]
    background_shots = np.logical_and.reduce((laser, darkShot))
    return [a[background_shots] for a in arrays]

def pumpedXrays(events, *arrays):
    fel = events[:, 13]
    laser = events[:, 18]
    darkShot = events[:, 21]
    pumped_shots = np.logical_and.reduce((laser, np.logical_not(darkShot)))
    return [a[pumped_shots] for a in arrays]

# config
#chname_diode  = "SLAAR11-LSCP1-FNS:CH0:VAL_GET"
chname_diode  = "SARES11-SPEC125-M1.edge_amplitude"
#chname_diode = "SARES11-GES1:CH2_VAL_GET"
chname_events = "SAR-CVME-TIFALL4:EvtSet"
length = 500

# create channel
ch_diode  = BS(chname_diode)
ch_events = BS(chname_events)

n = 10
sigs = np.empty(n)
evts = np.empty((n, 256))

# create a buffer for the plotting
pp_sigs = deque(maxlen=length)

# create the empty plot
pd = plt.plot([0])

# some plot settings
plt.suptitle(chname_diode)
plt.fig.set_figheight(5)
plt.fig.set_figwidth(15)
plt.tight_layout()

for counter, data in zip(plt.show(), bsstream):
    print(counter)

    for i in range(n):
        evts[i] = ch_events.get()
        sigs[i] = ch_diode.get()
        next(bsstream) # this gets the next set of data

#    sigs_p = pumpedXrays(evts, sigs)
#    sigs_u = unpumpedXrays(evts, sigs)

    sig = np.mean(sigs)

#    sig_p = np.mean(sigs_p)
#    sig_u = np.mean(sigs_u)

#    sig = -np.log10(sig_p/sig_u)

    pp_sigs.append(sig)

    xs = np.arange(len(pp_sigs))
    pd.set(xs, pp_sigs)

    # this, I need to move into the library
    pd.ax.relim()
    pd.ax.autoscale_view()

bsstream.close()