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# Source code for fabio.fabioimage

    """

    Authors: Henning O. Sorensen & Erik Knudsen
             Center for Fundamental Research: Metal Structures in Four Dimensions
             Risoe National Laboratory
             Frederiksborgvej 399
             DK-4000 Roskilde
             email:erik.knudsen@risoe.dk

             and Jon Wright, Jerome Kieffer: ESRF

    """
    from __future__ import with_statement
    import os, types, logging, sys, tempfile
    logger = logging.getLogger("fabioimage")
    import numpy
    try:
        from PIL import Image
    except ImportError:
        logger.warning("PIL is not installed ... trying to do without")
        Image = None
    import fabioutils, converters

    class fabioimage(object):
        """
        A common object for images in fable
        Contains a numpy array (.data) and dict of meta data (.header)
        """

        _need_a_seek_to_read = False
        _need_a_real_file = False

        def __init__(self, data=None , header=None):
            """
            Set up initial values
            """
            self._classname = None
            if type(data) in types.StringTypes:
                raise Exception("fabioimage.__init__ bad argument - " + \
                                "data should be numpy array")
            self.data = self.checkData(data)
            self.pilimage = None
            if header is None:
                self.header = {}
            else:
                self.header = self.checkHeader(header)
            self.header_keys = self.header.keys() # holds key ordering
            if self.data is not None:
                self.dim2, self.dim1 = self.data.shape
            else:
                self.dim1 = self.dim2 = 0
            self.bytecode = None     # numpy typecode
            self.bpp = 2             # bytes per pixel
            # cache for image statistics
            self.mean = self.maxval = self.stddev = self.minval = None
            # Cache roi
            self.roi = None
            self.area_sum = None
            self.slice = None
            # New for multiframe files
            self.nframes = 1
            self.currentframe = 0
            self.filename = None
            self.filenumber = None

        @staticmethod
        def checkHeader(header=None):
            """
            Empty for fabioimage but may be populated by others classes
            """
            if header is None:
                return {}
            else:
                return header

        @staticmethod
        def checkData(data=None):
            """
            Empty for fabioimage but may be populated by others classes, especially for format accepting only integers
            """
            return data

        def getclassname(self):
            """
            Retrieves the name of the class
            @return: the name of the class
            """
            if self._classname is None:
                self._classname = str(self.__class__).replace("<class '", "").replace("'>", "").split(".")[-1]
            return self._classname
        classname = property(getclassname)

        def getframe(self, num):
            """ returns the file numbered 'num' in the series as a fabioimage """
            if self.nframes == 1:
                # single image per file
                import openimage
                return openimage.openimage(
                    fabioutils.jump_filename(self.filename, num))
            raise Exception("getframe out of range")

        def previous(self):
            """ returns the previous file in the series as a fabioimage """
            import openimage
            return openimage.openimage(
                fabioutils.previous_filename(self.filename))

        def next(self):
            """ returns the next file in the series as a fabioimage """
            import openimage
            return openimage.openimage(
                fabioutils.next_filename(self.filename))

        def toPIL16(self, filename=None):
            """
            Convert to Python Imaging Library 16 bit greyscale image

            FIXME - this should be handled by the libraries now
            """
            if not Image:
                raise RuntimeError("PIL is not installed !!! ")
            if filename:
                self.read(filename)
            if self.pilimage is not None:
                return self.pilimage
            # mode map
            size = self.data.shape[:2][::-1]
            typmap = {
                'float32' : "F"     ,
                'int32'   : "F;32S" ,
                'uint32'  : "F;32"  ,
                'int16'   : "F;16S" ,
                'uint16'  : "F;16"  ,
                'int8'    : "F;8S"  ,
                'uint8'   : "F;8"  }
            if typmap.has_key(self.data.dtype.name):
                mode2 = typmap[ self.data.dtype.name ]
                mode1 = mode2[0]
            else:
                raise Exception("Unknown numpy type " + str(self.data.dtype.type))
            #
            # hack for byteswapping for PIL in MacOS
            testval = numpy.array((1, 0), numpy.uint8).view(numpy.uint16)[0]
            if  testval == 1:
                dats = self.data.tostring()
            elif testval == 256:
                dats = self.data.byteswap().tostring()
            else:
                raise Exception("Endian unknown in fabioimage.toPIL16")

            self.pilimage = Image.frombuffer(mode1,
                                             size,
                                             dats,
                                             "raw",
                                             mode2,
                                             0,
                                             1)

            return self.pilimage

        def getheader(self):
            """ returns self.header """
            return self.header

        def getmax(self):
            """ Find max value in self.data, caching for the future """
            if self.maxval is None:
                self.maxval = self.data.max()
            return self.maxval

        def getmin(self):
            """ Find min value in self.data, caching for the future """
            if self.minval is None:
                self.minval = self.data.min()
            return self.minval

        def make_slice(self, coords):
            """
            Convert a len(4) set of coords into a len(2)
            tuple (pair) of slice objects
            the latter are immutable, meaning the roi can be cached
            """
            assert len(coords) == 4
            if len(coords) == 4:
                # fabian edfimage preference
                if coords[0] > coords[2]:
                    coords[0:3:2] = [coords[2], coords[0]]
                if coords[1] > coords[3]:
                    coords[1:4:2] = [coords[3], coords[1]]
                #in fabian: normally coordinates are given as (x,y) whereas
                # a matrix is given as row,col
                # also the (for whichever reason) the image is flipped upside
                # down wrt to the matrix hence these tranformations
                fixme = (self.dim2 - coords[3] - 1,
                         coords[0] ,
                         self.dim2 - coords[1] - 1,
                         coords[2])
            return (slice(int(fixme[0]), int(fixme[2]) + 1) ,
                     slice(int(fixme[1]), int(fixme[3]) + 1))

        def integrate_area(self, coords):
            """
            Sums up a region of interest
            if len(coords) == 4 -> convert coords to slices
            if len(coords) == 2 -> use as slices
            floor -> ? removed as unused in the function.
            """
            if self.data == None:
                # This should return NAN, not zero ?
                return 0
            if len(coords) == 4:
                sli = self.make_slice(coords)
            elif len(coords) == 2 and isinstance(coords[0], slice) and \
                                      isinstance(coords[1], slice):
                sli = coords

            if sli == self.slice and self.area_sum is not None:
                pass
            elif sli == self.slice and self.roi is not None:
                self.area_sum = self.roi.sum(dtype=numpy.float)
            else:
                self.slice = sli
                self.roi = self.data[ self.slice ]
                self.area_sum = self.roi.sum(dtype=numpy.float)
            return self.area_sum

        def getmean(self):
            """ return the mean """
            if self.mean is None:
                self.mean = self.data.mean(dtype=numpy.double)
            return self.mean

        def getstddev(self):
            """ return the standard deviation """
            if self.stddev == None:
                self.stddev = self.data.std(dtype=numpy.double)
            return self.stddev

        def add(self, other):
            """
            Add another Image - warning, does not clip to 16 bit images by default
            """
            if not hasattr(other, 'data'):
                logger.warning('edfimage.add() called with something that ' + \
                    'does not have a data field')
            assert self.data.shape == other.data.shape , \
                      'incompatible images - Do they have the same size?'
            self.data = self.data + other.data
            self.resetvals()

        def resetvals(self):
            """ Reset cache - call on changing data """
            self.mean = self.stddev = self.maxval = self.minval = None
            self.roi = self.slice = self.area_sum = None

        def rebin(self, x_rebin_fact, y_rebin_fact, keep_I=True):
            """
            Rebin the data and adjust dims
            @param x_rebin_fact: x binning factor
            @param y_rebin_fact: y binning factor
            @param keep_I: shall the signal increase ?
            @type x_rebin_fact: int
            @type y_rebin_fact: int
            @type keep_I: boolean

            """
            if self.data == None:
                raise Exception('Please read in the file you wish to rebin first')

            if (self.dim1 % x_rebin_fact != 0) or (self.dim2 % y_rebin_fact != 0):
                raise RuntimeError('image size is not divisible by rebin factor - ' + \
                      'skipping rebin')
            else:
                dataIn = self.data.astype("float64")
                shapeIn = self.data.shape
                shapeOut = (shapeIn[0] / y_rebin_fact, shapeIn[1] / x_rebin_fact)
                binsize = y_rebin_fact * x_rebin_fact
                if binsize < 50: #method faster for small binning (4x4)
                    out = numpy.zeros(shapeOut, dtype="float64")
                    for j in range(x_rebin_fact):
                        for i in range(y_rebin_fact):
                            out += dataIn[i::y_rebin_fact, j::x_rebin_fact]
                else: #method faster for large binning (8x8)
                    temp = self.data.astype("float64")
                    temp.shape = (shapeOut[0], y_rebin_fact, shapeOut[1], x_rebin_fact)
                    out = temp.sum(axis=3).sum(axis=1)
            self.resetvals()
            if keep_I:
                self.data = (out / (y_rebin_fact * x_rebin_fact)).astype(self.data.dtype)
            else:
                self.data = out.astype(self.data.dtype)

            self.dim1 = self.dim1 / x_rebin_fact
            self.dim2 = self.dim2 / y_rebin_fact

            #update header
            self.update_header()

        def write(self, fname):
            """
            To be overwritten - write the file
            """
            raise Exception("Class has not implemented readheader method yet")

        def save(self, fname):
            'wrapper for write'
            self.write(fname)

        def readheader(self, filename):
            """
            Call the _readheader function...
            """
            # Override the needs asserting that all headers can be read via python modules
            save_state = self._need_a_real_file , self._need_a_seek_to_read
            self._need_a_real_file , self._need_a_seek_to_read = False, False
            fin = self._open(filename)
            self._readheader(fin)
            fin.close()
            self._need_a_real_file , self._need_a_seek_to_read = save_state

        def _readheader(self, fik_obj):
            """
            Must be overridden in classes
            """
            raise Exception("Class has not implemented _readheader method yet")

        def update_header(self , **kwds):
            """
            update the header entries
            by default pass in a dict of key, values.
            """
            self.header.update(kwds)

        def read(self, filename, frame=None):
            """
            To be overridden - fill in self.header and self.data
            """
            raise Exception("Class has not implemented read method yet")
    #        return self

        def load(self, *arg, **kwarg):
            "Wrapper for read"
            return self.read(*arg, **kwarg)

        def readROI(self, filename, frame=None, coords=None):
            """
            Method reading Region of Interest.
            This implementation is the trivial one, just doing read and crop
            """
            self.read(filename, frame)
            if len(coords) == 4:
                self.slice = self.make_slice(coords)
            elif len(coords) == 2 and isinstance(coords[0], slice) and \
                                      isinstance(coords[1], slice):
                self.slice = coords
            else:
                logger.warning('readROI: Unable to understand Region Of Interest: got %s', coords)
            self.roi = self.data[ self.slice ]
            return self.roi

        def _open(self, fname, mode="rb"):
            """
            Try to handle compressed files, streams, shared memory etc
            Return an object which can be used for "read" and "write"
            ... FIXME - what about seek ?
            """
            fileObject = None
            self.filename = fname
            self.filenumber = fabioutils.extract_filenumber(fname)

            if hasattr(fname, "read") and hasattr(fname, "write"):
                # It is already something we can use
                return fname
            if isinstance(fname, (str, unicode)):
                self.header["filename"] = fname
                if os.path.splitext(fname)[1] == ".gz":
                    fileObject = self._compressed_stream(fname,
                                           fabioutils.COMPRESSORS['.gz'],
                                           fabioutils.GzipFile,
                                           mode)
                elif os.path.splitext(fname)[1] == '.bz2':
                    fileObject = self._compressed_stream(fname,
                                           fabioutils.COMPRESSORS['.bz2'],
                                           fabioutils.BZ2File,
                                           mode)
                #
                # Here we return the file even though it may be bzipped or gzipped
                # but named incorrectly...
                #
                # FIXME - should we fix that or complain about the daft naming?
                else:
                    fileObject = fabioutils.File(fname, mode)
                if "name" not in dir(fileObject):
                    fileObject.name = fname

            return fileObject

        def _compressed_stream(self,
                               fname,
                               system_uncompress,
                               python_uncompress,
                               mode='rb'):
            """
            Try to transparently handle gzip / bzip without always getting python
            performance
            """
            # assert that python modules are always OK based on performance benchmark
            # Try to fix the way we are using them?
            fobj = None
            if self._need_a_real_file and mode[0] == "r":
                fo = python_uncompress(fname, mode)
    #            fobj = os.tmpfile()
                #problem when not administrator under certain flavors of windows
                tmpfd, tmpfn = tempfile.mkstemp()
                os.close(tmpfd)
                fobj = fabioutils.File(tmpfn, "w+b")
                fobj.write(fo.read())
                fo.close()
                fobj.seek(0)
            elif self._need_a_seek_to_read and mode[0] == "r":
                fo = python_uncompress(fname, mode)
                fobj = fabioutils.StringIO(fo.read(), fname, mode)
            else:
                fobj = python_uncompress(fname, mode)
            return fobj

        def convert(self, dest):
            """
            Convert a fabioimage object into another fabioimage object (with possible conversions)
            @param dest: destination type "EDF", "edfimage" or the class itself
            """
            if type(dest) in types.StringTypes:
                dest = dest.lower()
                modules = []
                for val  in fabioutils.FILETYPES.values():
                    modules += [i + "image" for i in val if i not in modules]
                klass = None
                module = None
                klass_name = None
                for klass_name in modules:
                    if  klass_name.startswith(dest):
                        try:
                            module = sys.modules["fabio." + klass_name]
                        except KeyError:
                            try:
                                module = __import__(klass_name)
                            except:
                                logger.error("Failed to import %s", klass_name)
                            else:
                                logger.debug("imported %simage", klass_name)
                        if module is not None:
                            break
                if module is not None:
                    if hasattr(module, klass_name):
                        klass = getattr(module, klass_name)
                    else:
                        logger.error("Module %s has no image class" % module)
            elif isinstance(dest, self.__class__):
                klass = dest.__class__
            elif ("__new__" in dir(dest)) and isinstance(dest(), fabioimage):
                klass = dest
            else:
                logger.warning("Unrecognized destination format: %s " % dest)
                return self
            if klass is None:
                logger.warning("Unrecognized destination format: %s " % dest)
                return self
            other = klass() #temporary instance (to be overwritten)
            other = klass(data=converters.convert_data(self.classname, other.classname, self.data),
                        header=converters.convert_header(self.classname, other.classname, self.header))
            return other

    def test():
        """
        check some basic fabioimage functionality
        """
        import time
        start = time.time()

        dat = numpy.ones((1024, 1024), numpy.uint16)
        dat = (dat * 50000).astype(numpy.uint16)
        assert dat.dtype.char == numpy.ones((1), numpy.uint16).dtype.char
        hed = {"Title":"50000 everywhere"}
        obj = fabioimage(dat, hed)

        assert obj.getmax() == 50000
        assert obj.getmin() == 50000
        assert obj.getmean() == 50000 , obj.getmean()
        assert obj.getstddev() == 0.

        dat2 = numpy.zeros((1024, 1024), numpy.uint16, savespace=1)
        cord = [ 256, 256, 790, 768 ]
        slic = obj.make_slice(cord)
        dat2[slic] = dat2[slic] + 100

        obj = fabioimage(dat2, hed)

        # New object, so...
        assert obj.maxval is None
        assert obj.minval is None

        assert obj.getmax() == 100, obj.getmax()
        assert obj.getmin() == 0 , obj.getmin()
        npix = (slic[0].stop - slic[0].start) * (slic[1].stop - slic[1].start)
        obj.resetvals()
        area1 = obj.integrate_area(cord)
        obj.resetvals()
        area2 = obj.integrate_area(slic)
        assert area1 == area2
        assert obj.integrate_area(cord) == obj.integrate_area(slic)
        assert obj.integrate_area(cord) == npix * 100, obj.integrate_area(cord)

        def clean():
            """ clean up the created testfiles"""
            for name in ["testfile", "testfile.gz", "testfile.bz2"]:
                try:
                    os.remove(name)
                except:
                    continue

        clean()
        import gzip, bz2
        gzip.open("testfile.gz", "wb").write("{ hello }")
        fout = obj._open("testfile.gz")
        readin = fout.read()
        assert readin == "{ hello }", readin + " gzipped file"

        bz2.BZ2File("testfilebz", "wb").write("{ hello }")
        fout = obj._open("testfile.bz2")
        readin = fout.read()
        assert readin == "{ hello }", readin + " bzipped file"

        ftest = open("testfile", "wb")
        ftest.write("{ hello }")
        assert ftest == obj._open(ftest)
        ftest.close()
        fout = obj._open("testfile")
        readin = fout.read()
        assert readin == "{ hello }", readin + "plain file"
        fout.close()
        ftest.close()
        clean()

        print "Passed in", time.time() - start, "s"

    if __name__ == '__main__':
        test()

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