#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""Simulate the MICE SciFi Tracker

This will simulate 'number_of_spills' MICE spills  through MICE
using Geant4.  Tracker hits will be digitized, reconstructed and 
spacepoints and pattern recognition tracks displayed.
"""

import io   #  generic python library for I/O
import gzip #  For compressed output # pylint: disable=W0611

import MAUS

def run():
    """ Run the macro
    """

    # This input generates empty spills, to be filled by the beam maker later on
    my_input = MAUS.InputPySpillGenerator()
    # my_input = MAUS.InputCppRoot()

    # Create an empty array of mappers, then populate it
    # with the functionality you want to use.
    my_map = MAUS.MapPyGroup()
    my_map.append(MAUS.MapPyBeamMaker()) # beam construction
    my_map.append(MAUS.MapCppSimulation())  #  geant4 simulation
    # my_map.append(MAUS.MapCppTrackerMCNoise())  # SciFi noise
    my_map.append(MAUS.MapCppTrackerMCDigitization())  # SciFi electronics
    my_map.append(MAUS.MapCppTrackerRecon())  # SciFi recon
    # can specify datacards here or by using appropriate command line calls
    datacards = io.StringIO(u"")

    # reducer = MAUS.ReduceCppPatternRecognition() # Turn on event display
    reducer = MAUS.ReducePyDoNothing()

    # Then construct a MAUS output component - filename comes from datacards
    # my_output = MAUS.OutputPyJSON()
    my_output = MAUS.OutputCppRoot()

    # The Go() drives all the components you pass in, then check the file
    # (default simulation.out) for output

    MAUS.Go(my_input, my_map, reducer, my_output, datacards)

if __name__ == '__main__':
    run()