#!/usr/bin/env python

from time import sleep
from collections import deque
import numpy as np
from zoetrope import aniplot as plt
from scipy.stats.stats import pearsonr
from bstrd import BS, bsstream
plt.blit = False
plt.style.use('ggplot')

def pumpedshots(events, *arrays):
    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]

#chname_diode  = "SLAAR11-LSCP1-FNS:CH0:VAL_GET"
#chname_diode1 = "SARES11-GES1:CH1_VAL_GET"
chname_diode1 = "SARES12-GES1:PR1_CH2_VAL_GET"
chname_i0 = "SAROP11-PBPS110:INTENSITY"
chname_events = "SAR-CVME-TIFALL4:EvtSet"
length = 500

# create channel
ch_diode1  = BS(chname_diode1)
ch_i0 = BS(chname_i0)
ch_events = BS(chname_events)

n = 200
sigs1 = np.empty(n)
i0s = np.empty(n)
evts = np.empty((n, 256))

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

# some plot settings
plt.fig.set_figheight(6)
plt.fig.set_figwidth(7)

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

    for i in range(n):
        sigs1[i] = ch_diode1.get()
        i0s[i] = ch_i0.get()
        evts[i] = ch_events.get()
        next(bsstream) # this gets the next set of data

    pearscoeff1, _ = pearsonr(i0s, sigs1)
    pumpi0s, pumpsigs = pumpedshots(evts, i0s, sigs1)

    #xs = np.arange(len(pp_sigs))
    plt.tight_layout()
    plt.clf()
    plt.scatter(i0s, sigs1)
    plt.scatter(pumpi0s, pumpsigs)
    plt.title("{}".format(round(pearscoeff1, 4)))
    plt.xlabel('sarop11-pbps110:intensity')
    plt.ylabel('tfy, sares11-ges1:ch1_val_get')
    plt.show()
    
bsstream.close()