from . import ardice
from stardice import keithley
import numpy as np
from glob import glob
import time
from . import sp_dk240
import xmlrpc.client
import xy

template = 'asisqe_'
existing_files = glob(template +'*.npy')
existing_files = [int(f.replace('.npy', '').replace(template, '')) for f in existing_files]

if not existing_files:
    print('Warning: first file in the seri')
    odometer = 0
else:
    odometer = np.max(existing_files) + 1

k = keithley.Keithley6514('/dev/ttyUSB1')
nsamples = 1
k.setup(krange=2e-5, samples=nsamples)

M = sp_dk240.Monochromator('/dev/ttyUSB0')
M.open()

ar = ardice.Ardice()
#ar.all_led_off()

mxy = xy.XY()
mxy.open()
#mxy.get_position()

mxy.move(x=49500)

#res = []
#for x in np.arange(15000,40000, 1000):
#    mxy.move(x=x)
#    on = k.read()
#    res.append((x, np.mean(on[0])))
    

#
#c = xmlrpclib.ServerProxy('http://localhost:8910')
#c.connect()
#try:
#    c.default()
#except:
#    c.connect()
#    c.default()
#c.set_exptime(1000000)
#
##nrepeat =400
##nrepeat = 2
##length = 10
#result = []
#def takeone():
#    t1 = time.time()
#    k.non_blocking_read(repeats=1)
#    phd = c.photodiode()
#    temp = c.get_temperature()
#    on = k.join()
#    t2 = time.time()
#    return t1, t2, phd, temp, on
#
#try:
#    for led in range(16):
#        print 'taking dark'
#        t1, t2, phd, temp, on = takeone()
#        result.append([0, 0, t1, t2, np.min(on[1]), np.max(on[1]), np.mean(on[0]), np.std(on[0])/np.sqrt(nsamples), phd, temp])
#        ar.led_on(led)
#        time.sleep(120)
#        for wl in np.arange(300, 1100):
#            print 'WAVELENGTH: %d' % wl
#            M.set_wavelength(wl)
#            t1, t2, phd, temp, on = takeone()
#            result.append([led, wl, t1, t2, np.min(on[1]), np.max(on[1]), np.mean(on[0]), np.std(on[0])/np.sqrt(nsamples), phd, temp])
#        ar.led_off(led)
#        time.sleep(2)
#        t1, t2, phd, temp, on = takeone()
#        result.append([0, 0, t1, t2, np.min(on[1]), np.max(on[1]), np.mean(on[0]), np.std(on[0])/np.sqrt(nsamples), phd, temp])
#finally:
#    result = np.rec.fromrecords(result, names=['led', 'wl', 't1', 't2', 'tk1', 'tk2', 'phd', 'phde', 'cam', 'tempcam'])
#    del ar
#
#np.save(template+'%04d.npy' % odometer, result)