#!C:\Users\kieffer\AppData\Local\Enthought\Canopy\User\Scripts\python.exe
import sys, os
import  PyQt4
from PyQt4.QtCore import *
from PyQt4.QtGui import *
import pyFAI, pyFAI.utils
import PyMca
from PyMca import MaskImageWidget
import fabio
import numpy

from optparse import OptionParser


def main():
    usage = "usage: %prog file1.edf file2.edf ..."
    version = "%prog " + pyFAI.version
    description = """
    Draw a mask, i.e. an image containing the list of pixels which are considered invalid
    (no scintillator, module gap, beam stop shadow, ...).
    This will open a PyMca window and let you draw on the first image
    (provided) with different tools (brush, rectangle selection, ...).
    When you are finished, come back to the console and press enter.
    """
    epilog = """The mask image is saved into file1-masked.edf.
    Optionally the script will print the number of pixel masked
    and the intensity masked (as well on other files provided in input)"""
    parser = OptionParser(usage=usage, version=version,
                          description=description, epilog=epilog)
    (options, args) = parser.parse_args()
    if len(args) < 1:
        parser.error("Incorrect number of arguments: please provide an image to draw a mask")

    processFile = pyFAI.utils.expand_args(args)

    qapp = QApplication([])
    w = PyMca.MaskImageWidget.MaskImageWidget()
    e = fabio.open(processFile[0]).data
    w.setImageData(e)
    w.show()
    outfile = os.path.splitext(processFile[0])[0] + "-mask.edf"
    finished = raw_input("Press enter when you are finished. You mask-file will ba saved into %s%s" % (outfile, os.linesep))
    m = w.getSelectionMask()

    fabio.edfimage.edfimage(data=m).write(outfile)
    print("Selected %i datapoints on file %s" % (m.sum(), processFile[0]))
    for datafile in processFile:
        data = fabio.open(datafile).data[numpy.where(m)]
        print("On File: %s,\t mean= %s \t std= %s" % (datafile, data.mean(), data.std()))

if __name__ == "__main__":
    main()
