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# coding: utf-8
#
# Project: X-ray image reader
# https://github.com/silx-kit/fabio
#
# Copyright (C) 2016 Univeristy Köln, Germany
#
# Principal author: Clemens Prescher (c.prescher@uni-koeln.de)
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to use, copy, modify, merge,
# publish, distribute, sublicense, and/or sell copies of the Software,
# and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
# HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
# OTHER DEALINGS IN THE SOFTWARE.
"""Princeton instrument SPE image reader for FabIO
"""
__authors__ = ["Clemens Prescher"]
__contact__ = "c.prescher@uni-koeln.de"
__license__ = "MIT"
__copyright__ = "Clemens Prescher"
__date__ = "11/12/2020"
import logging
logger = logging.getLogger(__name__)
import datetime
from xml.dom.minidom import parseString
import numpy as np
from numpy.polynomial.polynomial import polyval
from .fabioimage import FabioImage
class SpeImage(FabioImage):
"""FabIO image class for Images for Princeton/SPE detector
Put some documentation here
"""
DATA_TYPES = {0: np.float32,
1: np.int32,
2: np.int16,
3: np.uint16}
DESCRIPTION = "Princeton instrument SPE file format"
DEFAULT_EXTENSIONS = ["spe"]
def _readheader(self, infile):
"""
Read and decode the header of an image:
:param infile: Opened python file (can be stringIO or bipped file)
"""
self.header['version'] = self._get_version(infile)
self.header['data_type'] = self._read_at(infile, 108, 1, np.uint16)[0]
self.header['x_dim'] = int(self._read_at(infile, 42, 1, np.int16)[0])
self.header['y_dim'] = int(self._read_at(infile, 656, 1, np.int16)[0])
self.header['num_frames'] = self._read_at(infile, 1446, 1, np.int32)[0]
if self.header['version'] == 2:
self.header['time'] = self._read_date_time_from_header(infile)
self.header['x_calibration'] = self._read_calibration_from_header(infile)
self.header['exposure_time'] = self._read_at(infile, 10, 1, np.float32)[0]
self.header['detector'] = 'unspecified'
self.header['grating'] = str(self._read_at(infile, 650, 1, np.float32)[0])
self.header['center_wavelength'] = float(self._read_at(infile, 72, 1, np.float32)[0])
# # self._read_roi_from_header()
# self._read_num_frames_from_header()
# self._read_num_combined_frames_from_header()
elif self.header['version'] == 3:
xml_string = self._get_xml_string(infile)
dom = self._create_dom_from_xml(xml_string)
self.header['time'] = self._read_date_time_from_dom(dom)
self.header['roi'] = self._read_roi_from_dom(dom)
self.header['x_calibration'] = self._read_calibration_from_dom(dom)
self.header['exposure_time'] = self._read_exposure_from_dom(dom)
self.header['detector'] = self._read_detector_from_dom(dom)
self.header['grating'] = self._read_grating_from_dom(dom, infile)
self.header['center_wavelength'] = self._read_center_wavelength_from_dom(dom, infile)
self.header = self.check_header(self.header)
def read(self, fname, frame=None):
"""
try to read image
:param fname: name of the file
:param frame:
"""
self.resetvals()
with self._open(fname, 'rb') as infile:
self._readheader(infile)
# read the image data and declare
self.data = self._read_data(infile, frame)
return self
def _get_version(self, infile):
self.xml_offset = self._read_at(infile, 678, 1, np.int64)[0]
if self.xml_offset == 0:
return 2
else:
return 3
def _read_date_time_from_header(self, infile):
"""Reads the collection time from the header into the date_time field"""
raw_date = self._read_at(infile, 20, 9, np.int8)
raw_time = self._read_at(infile, 172, 6, np.int8)
str_date = ''.join([chr(i) for i in raw_date])
str_date += ''.join([chr(i) for i in raw_time])
date_time = datetime.datetime.strptime(str_date, "%d%b%Y%H%M%S")
return date_time.strftime("%m/%d/%Y %H:%M:%S")
def _read_date_time_from_dom(self, dom):
"""Reads the time of collection and saves it date_time field"""
date_time_str = dom.getElementsByTagName('Origin')[0].getAttribute('created')
try:
date_time = datetime.datetime.strptime(date_time_str[:-7], "%Y-%m-%dT%H:%M:%S.%f")
return date_time.strftime("%m/%d/%Y %H:%M:%S.%f")
except ValueError:
date_time = datetime.datetime.strptime(date_time_str[:-6], "%Y-%m-%dT%H:%M:%S")
return date_time.strftime("%m/%d/%Y %H:%M:%S")
def _read_calibration_from_header(self, infile):
"""Reads the calibration from the header into the x_calibration field"""
x_polynocoeff = self._read_at(infile, 3263, 6, np.double)
x_val = np.arange(self.header['x_dim']) + 1
return np.array(polyval(x_val, x_polynocoeff))
def _read_calibration_from_dom(self, dom):
"""Reads the x calibration of the image from the xml footer and saves
it in the x_calibration field"""
spe_format = dom.childNodes[0]
calibrations = spe_format.getElementsByTagName('Calibrations')[0]
wavelengthmapping = calibrations.getElementsByTagName('WavelengthMapping')[0]
wavelengths = wavelengthmapping.getElementsByTagName('Wavelength')[0]
wavelength_values = wavelengths.childNodes[0]
x_calibration = np.array([float(i) for i in wavelength_values.toxml().split(',')])
return x_calibration[self.header['roi'][0]:self.header['roi'][1]]
def _read_num_frames_from_header(self, infile):
self.num_frames = self._read_at(infile, 1446, 1, np.int32)[0]
def _get_xml_string(self, infile):
"""Reads out the xml string from the file end"""
if "size" in dir(infile):
size = infile.size
elif "measure_size" in dir(infile):
size = infile.measure_size()
else:
raise RuntimeError("Unable to guess the actual size of the file")
xml_size = size - self.xml_offset
xml = self._read_at(infile, self.xml_offset, xml_size, np.byte)
return ''.join([chr(i) for i in xml])
# if self.debug:
# fid = open(self.filename + '.xml', 'w')
# for line in self.xml_string:
# fid.write(line)
# fid.close()
def _create_dom_from_xml(self, xml_string):
"""Creates a DOM representation of the xml footer and saves it in the
dom field"""
return parseString(xml_string)
def _read_exposure_from_dom(self, dom):
"""Reads th exposure time of the experiment into the exposure_time field"""
if len(dom.getElementsByTagName('Experiment')) != 1: # check if it is a real v3.0 file
if len(dom.getElementsByTagName('ShutterTiming')) == 1: # check if it is a pixis detector
exposure_time = dom.getElementsByTagName('ExposureTime')[0].childNodes[0]
return np.float64(exposure_time.toxml()) / 1000.0
else:
exposure_time = dom.getElementsByTagName('ReadoutControl')[0]. \
getElementsByTagName('Time')[0].childNodes[0].nodeValue
self.header['accumulations'] = dom.getElementsByTagName('Accumulations')[0].childNodes[0].nodeValue
return np.float64(exposure_time) * np.float64(self.header['accumulations'])
else: # this is searching for legacy experiment:
self._exposure_time = dom.getElementsByTagName('LegacyExperiment')[0]. \
getElementsByTagName('Experiment')[0]. \
getElementsByTagName('CollectionParameters')[0]. \
getElementsByTagName('Exposure')[0].attributes["value"].value
return np.float64(self._exposure_time.split()[0])
def _read_detector_from_dom(self, dom):
"""Reads the detector information from the dom object"""
self._camera = dom.getElementsByTagName('Camera')
if len(self._camera) >= 1:
return self._camera[0].getAttribute('model')
else:
return 'unspecified'
def _read_grating_from_dom(self, dom, infile):
"""Reads the type of grating from the dom Model"""
try:
grating = dom.getElementsByTagName('Devices')[0]. \
getElementsByTagName('Spectrometer')[0]. \
getElementsByTagName('Grating')[0]. \
getElementsByTagName('Selected')[0].childNodes[0].toxml()
return grating.split('[')[1].split(']')[0].replace(',', ' ')
except IndexError:
# try from header:
return str(self._read_at(infile, 650, 1, np.float32)[0])
def _read_center_wavelength_from_dom(self, dom, infile):
"""Reads the center wavelength from the dom Model and saves it center_wavelength field"""
try:
center_wavelength = dom.getElementsByTagName('Devices')[0]. \
getElementsByTagName('Spectrometer')[0]. \
getElementsByTagName('Grating')[0]. \
getElementsByTagName('CenterWavelength')[0]. \
childNodes[0].toxml()
return float(center_wavelength)
except IndexError:
# try from header
return float(self._read_at(infile, 72, 1, np.float32)[0])
def _read_roi_from_dom(self, dom):
"""Reads the ROIs information defined in the SPE file.
Depending on the modus it will read out:
For CustomRegions
roi_x, roi_y, roi_width, roi_height, roi_x_binning, roi_y_binning
For FullSensor
roi_x,roi_y, roi_width, roi_height"""
try:
roi_modus = str(dom.getElementsByTagName('ReadoutControl')[0].
getElementsByTagName('RegionsOfInterest')[0].
getElementsByTagName('Selection')[0].
childNodes[0].toxml())
if roi_modus == 'CustomRegions':
roi_dom = dom.getElementsByTagName('ReadoutControl')[0]. \
getElementsByTagName('RegionsOfInterest')[0]. \
getElementsByTagName('CustomRegions')[0]. \
getElementsByTagName('RegionOfInterest')[0]
roi_x = int(roi_dom.attributes['x'].value)
roi_y = int(roi_dom.attributes['y'].value)
roi_width = int(roi_dom.attributes['width'].value)
roi_height = int(roi_dom.attributes['height'].value)
else:
roi_x = 0
roi_y = 0
roi_width = self.header['x_dim']
roi_height = self.header['y_dim']
except IndexError:
roi_x = 0
roi_y = 0
roi_width = self.header['x_dim']
roi_height = self.header['y_dim']
return roi_x, roi_x + roi_width, roi_y, roi_y + roi_height
def _read_at(self, infile, pos, size, ntype):
infile.seek(pos)
dtype = np.dtype(ntype)
bp = dtype.itemsize
data = infile.read(size * bp)
return np.frombuffer(data, dtype)
def _read_data(self, infile, frame=None):
if frame is None:
frame = 0
dtype = self.DATA_TYPES.get(self.header['data_type'])
if dtype is None:
raise RuntimeError("Unsuported data type: %s" % self.header['data_type'])
number_size = np.dtype(dtype).itemsize
frame_size = self.header['x_dim'] * self.header['y_dim'] * number_size
return self._read_frame(infile, 4100 + frame * frame_size)
def _read_frame(self, infile, pos=None):
"""Reads in a frame at a specific binary position. The following header parameters have to
be predefined before calling this function:
datatype - either 0,1,2,3 for float32, int32, int16 or uint16
x_dim, y_dim - being the dimensions.
"""
if pos is None:
pos = infile.tell()
dtype = self.DATA_TYPES.get(self.header['data_type'])
if dtype is None:
return None
data = self._read_at(infile, pos, self.header['x_dim'] * self.header['y_dim'], dtype)
return data.reshape((self.header['y_dim'], self.header['x_dim']))
# this is not compatibility with old code:
speimage = SpeImage
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