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# Source code for fabio.brukerimage

    from __future__ import with_statement

    __doc__ = """

    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

    Based on: openbruker,readbruker, readbrukerheader functions in the opendata
             module of ImageD11 written by Jon Wright, ESRF, Grenoble, France

    Writer by Jérôme Kieffer, ESRF, Grenoble, France

    """
    __authors__ = ["Henning O. Sorensen" , "Erik Knudsen", "Jon Wright", "Jérôme Kieffer"]
    __date__ = "20130502"
    __status__ = "development"
    __copyright__ = "2007-2009 Risoe National Laboratory; 2010-2013 ESRF"
    __licence__ = "GPL"

    import numpy, logging, sys
    from math import ceil
    import os, getpass, time
    logger = logging.getLogger("brukerimage")
    from fabioimage import fabioimage
    from fabioutils import pad
    from types import StringTypes
    if sys.version_info[0] < 3:
        bytes = str

    class brukerimage(fabioimage):
        """
        Read and eventually write ID11 bruker (eg smart6500) images

        TODO: int32 -> float32 conversion according to the "linear" keyword.
        This is done and works but we need to check with other program that we
        are appliing the right formula and not the reciprocal one.

        """
        bpp_to_numpy = {1:numpy.uint8,
                        2:numpy.uint16,
                        4:numpy.uint32}

        # needed if you feel like writing - see ImageD11/scripts/edf2bruker.py

        SPACER = "\x1a\x04" #this is CTRL-Z CTRL-D
        HEADERS_KEYS = ["FORMAT",    #Frame format. Always “86” or "100" for Bruker-format frames.
                       "VERSION",   #Header version #, such as: 1 to 17 (6 is obsolete).
                       "HDRBLKS",   #Header size in 512-byte blocks, such as 10 or 15. Determines where the image block begins.
                       "TYPE",      #String indicating kind of data in the frame. Used to determine if a spatial correction table was applied to the frame imag
                       "SITE",      #Site name
                       "MODEL",     #Diffractometer model
                       "USER",      #Username
                       "SAMPLE",    #Sample ID,
                       "SETNAME",   #Basic data set name
                       "RUN",       #Run number within the data set, usually starts at 0, but 1 for APEX2.
                       "SAMPNUM",   #Specimen number within the data set
                       "TITLE",     #User comments (8 lines)
                       "NCOUNTS",   #Total frame counts
                       "NOVERFL",   #Number of overflows when compression frame.
                       "MINIMUM",   #Minimum counts in a pixel (uncompressed value)
                       "MAXIMUM",   #Maximum counts in a pixel (uncompressed value)
                       "NONTIME",   #Number of on-time events
                       "NLATE",     #Number of late events. Always zero for many detectors.
                       "FILENAM",   #(Original) frame filename
                       "CREATED",   #Date and time of creation
                       "CUMULAT",   #Accumulated frame exposure time in seconds
                       "ELAPSDR",   #Requested time for last exposure in seconds
                       "ELAPSDA",   #Actual time for last exposure in seconds.
                       "OSCILLA",   #Nonzero if acquired by oscillation
                       "NSTEPS",    #steps or oscillations in this frame
                       "RANGE",     #Scan range in decimal degrees (unsigned)
                       "START",     #Starting scan angle value, decimal degrees
                       "INCREME",   #Scan angle increment between frames (signed)
                       "NUMBER",    #Sequence number of this frame in series, usually starts at 0, but 1 for APEX2
                       "NFRAMES",   #Total number of frames in the series
                       "ANGLES",    #Diffractometer angles in Eulerian space ( 2T, OM, PH, CH).
                       "NOVER64",   #Number of pixels > 64K (actually LinearThreshold value)
                       "NPIXELB",   #Number of bytes/pixel, such as 1, 2, or 4.
                       "NROWS",     #Number of rasters in frame, such as 512, 1024, 2048, or 4096
                       "NCOLS",     #Number of pixels/raster, such as 512, 1024, 2048 or 4096
                       "WORDORD",   #Order of bytes in word (0=LSB first)
                       "LONGORD",   #Order of words in a longword (0=LSW first)
                       "TARGET" ,   #X-ray target material: Cu, Mo, Ag, Fe, Cr, Co, Ni, W, Mn, or other.
                       "SOURCEK",   #X-ray source voltage in kV
                       "SOURCEM",   #X-ray source current in mA
                       "FILTER" ,   #Filter/monochromator setting: Such as: Parallel, graphite, Ni Filter, C Filter, Zr Filter,Cross coupled Goebel Mirrors ...
                       "CELL" ,     #Unit cell A,B,C,ALPHA,BETA,GAMMA
                       "MATRIX" ,   #9R Orientation matrix (P3 conventions)
                       "LOWTEMP",   #Low temp flag.
                       "TEMP",      #set temperature
                       "HITEMP",    #Acquired at high temperature
                       "ZOOM" ,     #Zoom: Xc, Yc, Mag used for HI-STAR detectors: 0.5 0.5 1.0
                       "CENTER" ,   #X, Y of direct beam at 2-theta = 0. These are raw center for raw frames and unwarped center for unwarped frames.
                       "DISTANC",   #Sample-detector distance, cm (see CmToGrid value) Adds: Sample-detector grid/phosphor distance, cm
                       "TRAILER",   #Byte pointer to trailer info
                       "COMPRES",   #Compression scheme ID, if any. Such as: NONE, LINEAR (Linear scale, offset for pixel values, typically 1.0, 0.0).
                       "LINEAR",    #Linear scale (1.0 0.0 for no change; 0.1 0 for divided by 10...)
                       "PHD" ,      # Discriminator: Pulse height settings. X100 and X1000 only. Stores CCD phosphor efficiency (first field).
                       "PREAMP" ,   #Preamp gain setting. X100 and X1000 only. SMART: Stores Roper CCD gain table index value.
                       "CORRECT",   #Flood table correction filename, UNKNOWN or LINEAR.
                       "WARPFIL",   #Brass plate correction filename, UNKNOWN or LINEAR. Note: A filename here does NOT mean that spatial correction was performed. See TYPE and string “UNWARP” to determine that.
                       "WAVELEN",   #Wavelengths (average, a1, a2)
                       "MAXXY",     #X,Y pixel # of maximum counts (from lower corner of 0,0)
                       "AXIS",      #Scan axis ib Eulerian space (1-4 for 2-theta, omega, phi, chi) (0 =none, 2 = default).
                       "ENDING" ,   #Actual goniometer angles at end of frame in Eulerian space.
                       "DETPAR" ,   #Detector position corrections (dX,dY,dDist,Pitch,Roll,Yaw)
                       "LUT",       #Recommended display lookup table
                       "DISPLIM",   #Recommended display limits
                       "PROGRAM",   #Name and version of program writing frame, such as:
                       "ROTATE",    #Non zero if acquired by rotation of phi during scan (or oscilate)
                       "BITMASK",   #File name of active pixel mask associated with this frame or $NULL
                       "OCTMASK",   #Octagon mask parameters to use if BITMASK=$null. Min X, Min X+Y, Min Y, Max X-Y, Max X, Max X+Y, Max Y, Max Y-X.
                       "ESDCELL",   #Unit cell parameter standard deviations
                       "DETTYPE",   #Detector or CCD chip type (as displayed on CEU). Default is MULTIWIRE but UNKNOWN is advised, can contain PIXPERCM: CMTOGRID:
                       "NEXP",      #Number of exposures: 1=single, 2=correlated sum.32 for most ccds, and 64 for 2K ccds.
                       "CCDPARM",   #CCD parameters: readnoise, e/ADU, e/photon, bias, full scale
                       "BIS",       #Potential full linear scale if rescan and attenuator used.
                       "CHEM",      #Chemical formula in CIFTAB string, such as “?”
                       "MORPH",     #Crystal morphology in CIFTAB string, such as “?”
                       "CCOLOR",    #Crystal color in CIFTAB string, such as “?”
                       "CSIZE",     #Crystal dimensions (3 ea) in CIFTAB string, such as “?”
                       "DNSMET",     #Density measurement method in CIFTAB string, such as “?”
                       "DARK",       #Name of dark current correction or NONE.
                       "AUTORNG",   #Auto-ranging: gain, high-speed time, scale, offset, full linear scale Note: If full linear scale is zero, then CCDPARM full scale is the full linear scale (BIS frames).
                       "ZEROADJ",   #Goniometer zero corrections (refined in least squares)
                       "XTRANS",    #Crystal XYZ translations (refined in least squares)
                       "HKL&XY",    #HKL and pixel XY for reciprocal space scan. GADDS only.
                       "AXES2",     #Diffractometer setting linear axes (4 ea). (X, Y, Z, Aux)
                       "ENDING2",   #Actual goniometer linear axes @ end of frame. (X, Y, Z, Aux)
                       "FILTER2",   #Monochromator 2-theta angle and monochromator roll angle. v15: Adds beam tilt angle and attenuator factor.
                       "LEPTOS",    # String for LEPTOS.
                       "CFR",       #Only in 21CFRPart11 mode, writes the checksum for header and image (2str).]
               ]

        def __init__(self, data=None , header=None):
            fabioimage.__init__(self, data, header)
            self.__bpp_file = None
            self.version = 86
            self.__headerstring__ = ""

        def _readheader(self, infile):
            """
            The bruker format uses 80 char lines in key : value format
            In the first 512*5 bytes of the header there should be a
            HDRBLKS key, whose value denotes how many 512 byte blocks
            are in the total header. The header is always n*5*512 bytes,
            otherwise it wont contain whole key: value pairs
            """
            line = 80
            blocksize = 512
            nhdrblks = 5 #by default we always read 5 blocks of 512
            self.__headerstring__ = infile.read(blocksize * nhdrblks)
            self.header = {}
            for i in range(0, nhdrblks * blocksize, line):
                if self.__headerstring__[i: i + line].find(":") > 0:
                    key, val = self.__headerstring__[i: i + line].split(":", 1)
                    key = key.strip()         # remove the whitespace (why?)
                    val = val.strip()
                    if key in self.header:
                        # append lines if key already there
                        self.header[key] = self.header[key] + os.linesep + val
                    else:
                        self.header[key] = val
                        self.header_keys.append(key)
            # we must have read this in the first 5*512 bytes.
            nhdrblks = int(self.header['HDRBLKS'])
            # Now read in the rest of the header blocks, appending
            self.__headerstring__ += infile.read(blocksize * (nhdrblks - 5))
            for i in range(5 * blocksize, nhdrblks * blocksize, line):
                if self.__headerstring__[i: i + line].find(":") > 0: # as for first 512 bytes of header
                    key, val = self.__headerstring__[i: i + line].split(":", 1)
                    key = key.strip()
                    val = val.strip()
                    if key in self.header:
                        self.header[key] = self.header[key] + os.linesep + val
                    else:
                        self.header[key] = val
                        self.header_keys.append(key)
            # make a (new) header item called "datastart"
            self.header['datastart'] = blocksize * nhdrblks
            #set the image dimensions
            self.dim1 = int(self.header['NROWS'])
            self.dim2 = int(self.header['NCOLS'])

        def read(self, fname, frame=None):
            """
            Read in and unpack the pixels (including overflow table
            """
            infile = self._open(fname, "rb")
            try:
                self._readheader(infile)
            except:
                raise

            rows = self.dim1
            cols = self.dim2

            try:
                # you had to read the Bruker docs to know this!
                npixelb = int(self.header['NPIXELB'])
            except Exception:
                errmsg = "length " + str(len(self.header['NPIXELB'])) + "\n"
                for byt in self.header['NPIXELB']:
                    errmsg += "char: " + str(byt) + " " + str(ord(byt)) + "\n"
                logger.warning(errmsg)
                raise RuntimeError(errmsg)

            data = numpy.fromstring(infile.read(rows * cols * npixelb), dtype=self.bpp_to_numpy[npixelb])

            #handle overflows
            nov = int(self.header['NOVERFL'])
            if nov > 0:   # Read in the overflows
                # need at least int32 sized data I guess - can reach 2^21
                data = data.astype(numpy.uint32)
                # 16 character overflows:
                #      9 characters of intensity
                #      7 character position
                for i in range(nov):
                    ovfl = infile.read(16)
                    intensity = int(ovfl[0: 9])
                    position = int(ovfl[9: 16])
                    data[position] = intensity
            infile.close()
            # Handle Float images ...
            if "LINEAR" in self.header:
                try:
                    slope, offset = self.header["LINEAR"].split(None, 1)
                    slope = float(slope)
                    offset = float(offset)
                except Except:
                    logger.warning("Error in converting to float data with linear parameter: %s" % self.header["LINEAR"])
                    self.data = data
                else:
                    if slope == 1 and offset == 0:
                        self.data = data
                    else:
                        #TODO: check that the formula is OK, not reverted.
                        logger.warning("performing correction with slope=%s, offset=%s (LINEAR=%s)" % (slope, offset, self.header["LINEAR"]))
                        self.data = (data * slope + offset).astype(numpy.float32)
            else:
                self.data = data
            self.data.shape = self.dim1, self.dim2

            self.resetvals()
            self.pilimage = None
            return self

        def write(self, fname):
            """
            Write a bruker image

            """
            if numpy.issubdtype(self.data.dtype, float):
                if "LINEAR" in self.header:
                    try:
                        slope, offset = self.header["LINEAR"].split(None, 1)
                        slope = float(slope)
                        offset = float(offset)
                    except Except:
                        logger.warning("Error in converting to float data with linear parameter: %s" % self.header["LINEAR"])
                        slope, offset = 1.0, 0.0

                else:
                    offset = self.data.min()
                    max_data = self.data.max()
                    max_range = 2 ** 24 - 1 #similar to the mantissa of a float32
                    if max_data > offset:
                        slope = (max_data - offset) / float(max_range)
                    else:
                        slope = 1.0
                tmp_data = numpy.round(((self.data - offset) / slope)).astype(numpy.uint32)
                self.header["LINEAR"] = "%s %s" % (slope, offset)

            else:
                tmp_data = self.data

            bpp = self.calc_bpp(tmp_data)
            self.basic_translate(fname)
            limit = 2 ** (8 * bpp) - 1
            data = tmp_data.astype(self.bpp_to_numpy[bpp])
            reset = numpy.where(tmp_data >= limit)
            data[reset] = limit
            data = data.newbyteorder("<") #Bruker enforces little endian
            with self._open(fname, "wb") as bruker:
                bruker.write(self.gen_header())
                bruker.write(data.tostring())
                bruker.write(self.gen_overflow())

        def calc_bpp(self, data=None, max_entry=4096):
            """
            Calculate the number of byte per pixel to get an optimal overflow table.

            @return: byte per pixel
            """
            if data is None:
                data = self.data
            if self.__bpp_file is None:
                for i in [1, 2]:
                    overflown = (data >= (2 ** (8 * i) - 1))
                    if overflown.sum() < max_entry:
                        self.__bpp_file = i
                        break
                else:
                    self.__bpp_file = 4
            return self.__bpp_file

        def gen_header(self):
            """
            Generate headers (with some magic and guesses)
            @param format can be 86 or 100
            """
            headers = []
            for key in self.HEADERS_KEYS:
                if key in self.header:
                    value = self.header[key]
                    line = key.ljust(7) + ":"
                    if type(value) in StringTypes:
                        if os.linesep in value:
                            lines = value.split(os.linesep)
                            for i in lines[:-1] :
                                headers.append((line + bytes(i)).ljust(80, " "))
                                line = key.ljust(7) + ":"
                            line += bytes(lines[-1])
                        elif len(value) < 72:
                            line += bytes(value)
                        else:
                            for i in range(len(value) // 72):
                                headers.append((line + bytes(value[72 * i:72 * (i + 1)])))
                                line = key.ljust(7) + ":"
                            line += value[72 * (i + 1):]
                    elif "__len__" in dir(value):
                        f = "\%.%is" % 72 // len(value) - 1
                        line += " ".join([f % i for i in value])
                    else:
                        line += bytes(value)
                    headers.append(line.ljust(80, " "))

            header = "".join(headers)
            if len(header) > 512 * self.header["HDRBLKS"]:
                tmp = ceil(len(header) / 512.0)
                self.header["HDRBLKS"] = int(ceil(tmp / 5.0) * 5.0)
                for i in range(len(headers)):
                    if headers[i].startswith("HDRBLKS"):
                        headers[i] = headers.append(("HDRBLKS:%s" % self.header["HDRBLKS"]).ljust(80, " "))
            res = pad("".join(headers), self.SPACER + "."*78, 512 * int(self.header["HDRBLKS"]))
            return res

        def gen_overflow(self):
            """
            Generate an overflow table
            """
            limit = 2 ** (8 * self.calc_bpp()) - 1
            flat = self.data.ravel()                     #flat memory view
            overflow_pos = numpy.where(flat >= limit)[0] #list of indexes
            overflow_val = flat[overflow_pos]
            overflow = "".join(["%09i%07i" % (val, pos) for pos, val  in zip(overflow_pos, overflow_val)])
            return pad(overflow, ".", 512)

        def basic_translate(self, fname=None):
            """
            Does some basic population of the headers so that the writing is possible
            """
            if not "FORMAT" in self.header:
                self.header["FORMAT"] = "86"
            if not "HDRBLKS" in self.header:
                self.header["HDRBLKS"] = 5
            if not "TYPE" in self.header:
                self.header["TYPE"] = "UNWARPED"
            if not "USER" in self.header:
                self.header["USER"] = getpass.getuser()
            if not "FILENAM" in self.header:
                self.header["FILENAM"] = "%s" % fname
            if not "CREATED" in self.header:
                self.header["CREATED"] = time.ctime()
            if not "NOVERFL" in self.header:
                self.header["NOVERFL"] = "0"
    #        if not "NPIXELB" in self.header:
            self.header["NPIXELB"] = self.calc_bpp()
            #if not "NROWS" in self.header:
            self.header["NROWS"] = self.data.shape[0]
            #if not "NCOLS" in self.header:
            self.header["NCOLS"] = self.data.shape[1]
            if not "WORDORD" in self.header:
                self.header["WORDORD"] = "0"
            if not "LONGORD" in self.header:
                self.header["LONGORD"] = "0"

    def test():
        """ a testcase """
        import sys, time
        img = brukerimage()
        start = time.clock()
        for filename in sys.argv[1:]:
            img.read(filename)
            res = img.toPIL16()
            img.rebin(2, 2)
            print(filename + (": max=%d, min=%d, mean=%.2e, stddev=%.2e") % (
                img.getmax(), img.getmin(), img.getmean(), img.getstddev()))
            print('integrated intensity (%d %d %d %d) =%.3f' % (
                10, 20, 20, 40, img.integrate_area((10, 20, 20, 40))))
        end = time.clock()
        print (end - start)

    if __name__ == '__main__':
        test()

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