#!/usr/bin/python
#
# Dominik Neise
# TU Dortmund
#
# test for freshly implemented methods in pyfact.
# subject to frequent change!

from pyfact import *
#from savecam import *

name='20111124_081'
dfname = '/data03/fact-construction/raw/2011/11/24/'+name+'.fits'
calfname = '/data03/fact-construction/raw/2011/11/24/20111124_071.drs.fits'
# access the data
rd = rawdata( dfname, calfname )

print 'dfname:  ', dfname
print 'calfname:', calfname
print 'NEvents: ', rd.NEvents

def loop_acal( Neve = 1000 ):
    """
    bla
    """
    if rd.NEvents < Neve:
        print 'data file contains not enough events'
        exit( 0 )
    else:
        for i in range( Neve ):
            if (np.mod(i,100)==0) :
                print 'Event: ', i
            rd.next()
            
            rd.filterSlidingAverage()
#            print rd.smoothData
            rd.filterCFD()
#            print rd.cfdData
            rd.findPeak()
            list_maxPos.append(rd.maxPos)
            list_maxAmp.append(rd.maxAmp)
            rd.sumAroundPeak()
            list_integral.append(rd.integral)
#            plotincam(rd.integral, 'evt_'+str(i)+'.pdf')
            #print len(rd.maxPos)
            #print len(rd.maxAmp)
#            print 'Trigger Type', rd.trigType

#print (rd.filterSlidingAverage.__doc__)
#print (rd.filterCFD.__doc__)
#print (rd.findPeak.__doc__)
#print (rd.sumAroundPeak.__doc__)

list_maxPos = []
list_maxAmp = []
list_integral = []
loop_acal(rd.NEvents)
maxAmp = np.vstack(list_maxAmp)
maxPos = np.vstack(list_maxPos)
integ = np.vstack(list_integral)

np.savez(name+'.npz', amplitude=maxAmp, time=maxPos, integral=integ)