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#!/usr/bin/env python
import os
import io # generic python library for I/O
import gzip # For compressed output # pylint: disable=W0611
import MAUS
def run(number_of_spills):
""" Run the macro
"""
# Here we create a pseudo-file with an event in it. If you were to copy
# and paste this to a file, then you could also do:
#
# input_file = open('myFileName.txt', 'r')
#
# where the file format has a JSON document per line. I just toss the file
# in here for simplicity.
input_file = io.StringIO(number_of_spills*u"""{"mc": [{"primary":{"position": { "x": 0.0, "y": -0.0, "z": -5000.0 },"particle_id" : 13,"energy" : 210.0, "random_seed" : 10, "momentum" : { "x":0.0, "y":0.0, "z":1.0 }, "time" : 0.0}}]}\n""") # pylint: disable=C0301
my_input = MAUS.InputPyJSON(input_file)
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapCppSimulation()) # geant4 simulation
my_map.append(MAUS.MapCppTOFMCDigitizer()) # TOF electronics model
my_map.append(MAUS.MapCppTrackerMCDigitization()) # SCiFi electronics
datacards = io.StringIO(u"keep_steps = True")
# You may specify datacards if you wish. To do so you create a file object
# which can either be a StringIO object or a native python file. If you
# want to store your datacards in a file 'datacards.dat' then uncomment:
# datacards = open('datacards.dat', 'r')
# Choose from either a compressed or uncompressed output file
#
output_file = open(os.environ["MAUS_ROOT_DIR"]+"/tmp/simulation.out", 'w') # Uncompressed
#output_file = gzip.GzipFile("mausput.gz", 'wb') # Compressed
#
# Then construct a MAUS output component
my_output = MAUS.OutputPyJSON(output_file)
# The Go() drives all the components you pass in, then check the file
# 'mausput' for the output
MAUS.Go(my_input, my_map, MAUS.ReducePyDoNothing(), my_output, datacards)
if __name__ == '__main__':
NUMBER_OF_SPILLS = 10
run(NUMBER_OF_SPILLS)
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