File: speimage.py

package info (click to toggle)
python-fabio 0.11.0%2Bdfsg-3
  • links: PTS, VCS
  • area: main
  • in suites: bullseye
  • size: 9,092 kB
  • sloc: python: 19,244; ansic: 1,085; makefile: 219; sh: 215
file content (310 lines) | stat: -rw-r--r-- 13,411 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
# 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