cansas_reader_HDF5.py @ 02c1608e

magnetic_scattrelease-4.2.2ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249unittest-saveload

Last change on this file since 02c1608e was 02c1608e, checked in by krzywon, 6 years ago
Allow for multiple Q resolutions/uncertainties for USANS data. refs #976
Property mode set to `100644`
File size: 26.6 KB

Line
1	"""
2	CanSAS 2D data reader for reading HDF5 formatted CanSAS files.
3	"""
4
5	import h5py
6	import numpy as np
7	import re
8	import os
9	import sys
10
11	from ..data_info import plottable_1D, plottable_2D,\
12	Data1D, Data2D, DataInfo, Process, Aperture, Collimation, \
13	TransmissionSpectrum, Detector
14	from ..data_info import combine_data_info_with_plottable
15	from ..loader_exceptions import FileContentsException, DefaultReaderException
16	from ..file_reader_base_class import FileReader, decode
17
18	def h5attr(node, key, default=None):
19	return decode(node.attrs.get(key, default))
20
21	class Reader(FileReader):
22	"""
23	A class for reading in CanSAS v2.0 data files. The existing iteration opens
24	Mantid generated HDF5 formatted files with file extension .h5/.H5. Any
25	number of data sets may be present within the file and any dimensionality
26	of data may be used. Currently 1D and 2D SAS data sets are supported, but
27	future implementations will include 1D and 2D SESANS data.
28
29	Any number of SASdata sets may be present in a SASentry and the data within
30	can be either 1D I(Q) or 2D I(Qx, Qy).
31
32	Also supports reading NXcanSAS formatted HDF5 files
33
34	:Dependencies:
35	The CanSAS HDF5 reader requires h5py => v2.5.0 or later.
36	"""
37
38	# CanSAS version
39	cansas_version = 2.0
40	# Data type name
41	type_name = "NXcanSAS"
42	# Wildcards
43	type = ["NXcanSAS HDF5 Files (.h5)\|.h5\|"]
44	# List of allowed extensions
45	ext = ['.h5', '.H5']
46	# Flag to bypass extension check
47	allow_all = True
48
49	def get_file_contents(self):
50	"""
51	This is the general read method that all SasView data_loaders must have.
52
53	:param filename: A path for an HDF5 formatted CanSAS 2D data file.
54	:return: List of Data1D/2D objects and/or a list of errors.
55	"""
56	# Reinitialize when loading a new data file to reset all class variables
57	self.reset_state()
58
59	filename = self.f_open.name
60	self.f_open.close() # IO handled by h5py
61
62	# Check that the file exists
63	if os.path.isfile(filename):
64	basename = os.path.basename(filename)
65	_, extension = os.path.splitext(basename)
66	# If the file type is not allowed, return empty list
67	if extension in self.ext or self.allow_all:
68	# Load the data file
69	try:
70	self.raw_data = h5py.File(filename, 'r')
71	except Exception as e:
72	if extension not in self.ext:
73	msg = "NXcanSAS HDF5 Reader could not load file {}".format(basename + extension)
74	raise DefaultReaderException(msg)
75	raise FileContentsException(e.message)
76	try:
77	# Read in all child elements of top level SASroot
78	self.read_children(self.raw_data, [])
79	# Add the last data set to the list of outputs
80	self.add_data_set()
81	except Exception as exc:
82	raise FileContentsException(exc.message)
83	finally:
84	# Close the data file
85	self.raw_data.close()
86
87	for dataset in self.output:
88	if isinstance(dataset, Data1D):
89	if dataset.x.size < 5:
90	self.output = []
91	raise FileContentsException("Fewer than 5 data points found.")
92
93	def reset_state(self):
94	"""
95	Create the reader object and define initial states for class variables
96	"""
97	super(Reader, self).reset_state()
98	self.data1d = []
99	self.data2d = []
100	self.raw_data = None
101	self.errors = set()
102	self.logging = []
103	self.q_name = []
104	self.mask_name = u''
105	self.i_name = u''
106	self.i_node = u''
107	self.q_uncertainties = []
108	self.q_resolutions = []
109	self.i_uncertainties = u''
110	self.parent_class = u''
111	self.detector = Detector()
112	self.collimation = Collimation()
113	self.aperture = Aperture()
114	self.process = Process()
115	self.trans_spectrum = TransmissionSpectrum()
116
117	def read_children(self, data, parent_list):
118	"""
119	A recursive method for stepping through the hierarchical data file.
120
121	:param data: h5py Group object of any kind
122	:param parent: h5py Group parent name
123	"""
124
125	# Loop through each element of the parent and process accordingly
126	for key in data.keys():
127	# Get all information for the current key
128	value = data.get(key)
129	class_name = h5attr(value, u'canSAS_class')
130	if class_name is None:
131	class_name = h5attr(value, u'NX_class')
132	if class_name is not None:
133	class_prog = re.compile(class_name)
134	else:
135	class_prog = re.compile(value.name)
136
137	if isinstance(value, h5py.Group):
138	# Set parent class before recursion
139	last_parent_class = self.parent_class
140	self.parent_class = class_name
141	parent_list.append(key)
142	# If a new sasentry, store the current data sets and create
143	# a fresh Data1D/2D object
144	if class_prog.match(u'SASentry'):
145	self.add_data_set(key)
146	elif class_prog.match(u'SASdata'):
147	self._initialize_new_data_set(value)
148	self._find_data_attributes(value)
149	# Recursion step to access data within the group
150	self.read_children(value, parent_list)
151	self.add_intermediate()
152	# Reset parent class when returning from recursive method
153	self.parent_class = last_parent_class
154	parent_list.remove(key)
155
156	elif isinstance(value, h5py.Dataset):
157	# If this is a dataset, store the data appropriately
158	data_set = data[key][:]
159	unit = self._get_unit(value)
160
161	for data_point in data_set:
162	if isinstance(data_point, np.ndarray):
163	if data_point.dtype.char == 'S':
164	data_point = decode(bytes(data_point))
165	else:
166	data_point = decode(data_point)
167	# Top Level Meta Data
168	if key == u'definition':
169	self.current_datainfo.meta_data['reader'] = data_point
170	# Run
171	elif key == u'run':
172	self.current_datainfo.run.append(data_point)
173	try:
174	run_name = h5attr(value, 'name')
175	run_dict = {data_point: run_name}
176	self.current_datainfo.run_name = run_dict
177	except Exception:
178	pass
179	# Title
180	elif key == u'title':
181	self.current_datainfo.title = data_point
182	# Note
183	elif key == u'SASnote':
184	self.current_datainfo.notes.append(data_point)
185	# Sample Information
186	elif self.parent_class == u'SASsample':
187	self.process_sample(data_point, key)
188	# Instrumental Information
189	elif (key == u'name'
190	and self.parent_class == u'SASinstrument'):
191	self.current_datainfo.instrument = data_point
192	# Detector
193	elif self.parent_class == u'SASdetector':
194	self.process_detector(data_point, key, unit)
195	# Collimation
196	elif self.parent_class == u'SAScollimation':
197	self.process_collimation(data_point, key, unit)
198	# Aperture
199	elif self.parent_class == u'SASaperture':
200	self.process_aperture(data_point, key)
201	# Process Information
202	elif self.parent_class == u'SASprocess': # CanSAS 2.0
203	self.process_process(data_point, key)
204	# Source
205	elif self.parent_class == u'SASsource':
206	self.process_source(data_point, key, unit)
207	# Everything else goes in meta_data
208	elif self.parent_class == u'SASdata':
209	self.process_data_object(data_set, key, unit)
210	break
211	elif self.parent_class == u'SAStransmission_spectrum':
212	self.process_trans_spectrum(data_set, key)
213	break
214	else:
215	new_key = self._create_unique_key(
216	self.current_datainfo.meta_data, key)
217	self.current_datainfo.meta_data[new_key] = data_point
218
219	else:
220	# I don't know if this reachable code
221	self.errors.add("ShouldNeverHappenException")
222
223	def process_data_object(self, data_set, key, unit):
224	"""
225	SASdata processor method
226	:param data_set: data from HDF5 file
227	:param key: canSAS_class attribute
228	:param unit: unit attribute
229	"""
230	if key == self.i_name:
231	if isinstance(self.current_dataset, plottable_2D):
232	self.current_dataset.data = data_set
233	self.current_dataset.zaxis("Intensity", unit)
234	else:
235	self.current_dataset.y = data_set.flatten()
236	self.current_dataset.yaxis("Intensity", unit)
237	elif key == self.i_uncertainties:
238	if isinstance(self.current_dataset, plottable_2D):
239	self.current_dataset.err_data = data_set.flatten()
240	else:
241	self.current_dataset.dy = data_set.flatten()
242	elif key in self.q_name:
243	self.current_dataset.xaxis("Q", unit)
244	if isinstance(self.current_dataset, plottable_2D):
245	self.current_dataset.q = data_set.flatten()
246	else:
247	self.current_dataset.x = data_set.flatten()
248	elif key in self.q_uncertainties or key in self.q_resolutions:
249	if (len(self.q_resolutions) > 1
250	and np.where(self.q_resolutions == key)[0] == 0):
251	self.current_dataset.dxw = data_set.flatten()
252	elif (len(self.q_resolutions) > 1
253	and np.where(self.q_resolutions == key)[0] == 1):
254	self.current_dataset.dxl = data_set.flatten()
255	else:
256	self.current_dataset.dx = data_set.flatten()
257	elif key == u'Qy':
258	self.current_dataset.yaxis("Q_y", unit)
259	self.current_dataset.qy_data = data_set.flatten()
260	elif key == u'Qydev':
261	self.current_dataset.dqy_data = data_set.flatten()
262	elif key == u'Qx':
263	self.current_dataset.xaxis("Q_x", unit)
264	self.current_dataset.qx_data = data_set.flatten()
265	elif key == u'Qxdev':
266	self.current_dataset.dqx_data = data_set.flatten()
267	elif key == self.mask_name:
268	self.current_dataset.mask = data_set.flatten()
269	elif key == u'wavelength':
270	self.current_datainfo.source.wavelength = data_set[0]
271	self.current_datainfo.source.wavelength_unit = unit
272
273	def process_trans_spectrum(self, data_set, key):
274	"""
275	SAStransmission_spectrum processor
276	:param data_set: data from HDF5 file
277	:param key: canSAS_class attribute
278	"""
279	if key == u'T':
280	self.trans_spectrum.transmission = data_set.flatten()
281	elif key == u'Tdev':
282	self.trans_spectrum.transmission_deviation = data_set.flatten()
283	elif key == u'lambda':
284	self.trans_spectrum.wavelength = data_set.flatten()
285
286	def process_sample(self, data_point, key):
287	"""
288	SASsample processor
289	:param data_point: Single point from an HDF5 data file
290	:param key: class name data_point was taken from
291	"""
292	if key == u'Title':
293	self.current_datainfo.sample.name = data_point
294	elif key == u'name':
295	self.current_datainfo.sample.name = data_point
296	elif key == u'ID':
297	self.current_datainfo.sample.name = data_point
298	elif key == u'thickness':
299	self.current_datainfo.sample.thickness = data_point
300	elif key == u'temperature':
301	self.current_datainfo.sample.temperature = data_point
302	elif key == u'transmission':
303	self.current_datainfo.sample.transmission = data_point
304	elif key == u'x_position':
305	self.current_datainfo.sample.position.x = data_point
306	elif key == u'y_position':
307	self.current_datainfo.sample.position.y = data_point
308	elif key == u'pitch':
309	self.current_datainfo.sample.orientation.x = data_point
310	elif key == u'yaw':
311	self.current_datainfo.sample.orientation.y = data_point
312	elif key == u'roll':
313	self.current_datainfo.sample.orientation.z = data_point
314	elif key == u'details':
315	self.current_datainfo.sample.details.append(data_point)
316
317	def process_detector(self, data_point, key, unit):
318	"""
319	SASdetector processor
320	:param data_point: Single point from an HDF5 data file
321	:param key: class name data_point was taken from
322	:param unit: unit attribute from data set
323	"""
324	if key == u'name':
325	self.detector.name = data_point
326	elif key == u'SDD':
327	self.detector.distance = float(data_point)
328	self.detector.distance_unit = unit
329	elif key == u'slit_length':
330	self.detector.slit_length = float(data_point)
331	self.detector.slit_length_unit = unit
332	elif key == u'x_position':
333	self.detector.offset.x = float(data_point)
334	self.detector.offset_unit = unit
335	elif key == u'y_position':
336	self.detector.offset.y = float(data_point)
337	self.detector.offset_unit = unit
338	elif key == u'pitch':
339	self.detector.orientation.x = float(data_point)
340	self.detector.orientation_unit = unit
341	elif key == u'roll':
342	self.detector.orientation.z = float(data_point)
343	self.detector.orientation_unit = unit
344	elif key == u'yaw':
345	self.detector.orientation.y = float(data_point)
346	self.detector.orientation_unit = unit
347	elif key == u'beam_center_x':
348	self.detector.beam_center.x = float(data_point)
349	self.detector.beam_center_unit = unit
350	elif key == u'beam_center_y':
351	self.detector.beam_center.y = float(data_point)
352	self.detector.beam_center_unit = unit
353	elif key == u'x_pixel_size':
354	self.detector.pixel_size.x = float(data_point)
355	self.detector.pixel_size_unit = unit
356	elif key == u'y_pixel_size':
357	self.detector.pixel_size.y = float(data_point)
358	self.detector.pixel_size_unit = unit
359
360	def process_collimation(self, data_point, key, unit):
361	"""
362	SAScollimation processor
363	:param data_point: Single point from an HDF5 data file
364	:param key: class name data_point was taken from
365	:param unit: unit attribute from data set
366	"""
367	if key == u'distance':
368	self.collimation.length = data_point
369	self.collimation.length_unit = unit
370	elif key == u'name':
371	self.collimation.name = data_point
372
373	def process_aperture(self, data_point, key):
374	"""
375	SASaperture processor
376	:param data_point: Single point from an HDF5 data file
377	:param key: class name data_point was taken from
378	"""
379	if key == u'shape':
380	self.aperture.shape = data_point
381	elif key == u'x_gap':
382	self.aperture.size.x = data_point
383	elif key == u'y_gap':
384	self.aperture.size.y = data_point
385
386	def process_source(self, data_point, key, unit):
387	"""
388	SASsource processor
389	:param data_point: Single point from an HDF5 data file
390	:param key: class name data_point was taken from
391	:param unit: unit attribute from data set
392	"""
393	if key == u'incident_wavelength':
394	self.current_datainfo.source.wavelength = data_point
395	self.current_datainfo.source.wavelength_unit = unit
396	elif key == u'wavelength_max':
397	self.current_datainfo.source.wavelength_max = data_point
398	self.current_datainfo.source.wavelength_max_unit = unit
399	elif key == u'wavelength_min':
400	self.current_datainfo.source.wavelength_min = data_point
401	self.current_datainfo.source.wavelength_min_unit = unit
402	elif key == u'incident_wavelength_spread':
403	self.current_datainfo.source.wavelength_spread = data_point
404	self.current_datainfo.source.wavelength_spread_unit = unit
405	elif key == u'beam_size_x':
406	self.current_datainfo.source.beam_size.x = data_point
407	self.current_datainfo.source.beam_size_unit = unit
408	elif key == u'beam_size_y':
409	self.current_datainfo.source.beam_size.y = data_point
410	self.current_datainfo.source.beam_size_unit = unit
411	elif key == u'beam_shape':
412	self.current_datainfo.source.beam_shape = data_point
413	elif key == u'radiation':
414	self.current_datainfo.source.radiation = data_point
415
416	def process_process(self, data_point, key):
417	"""
418	SASprocess processor
419	:param data_point: Single point from an HDF5 data file
420	:param key: class name data_point was taken from
421	"""
422	if key == u'Title': # CanSAS 2.0
423	self.process.name = data_point
424	elif key == u'name': # NXcanSAS
425	self.process.name = data_point
426	elif key == u'description':
427	self.process.description = data_point
428	elif key == u'date':
429	self.process.date = data_point
430	elif key == u'term':
431	self.process.term = data_point
432	else:
433	self.process.notes.append(data_point)
434
435	def add_intermediate(self):
436	"""
437	This method stores any intermediate objects within the final data set
438	after fully reading the set.
439
440	:param parent: The NXclass name for the h5py Group object that just
441	finished being processed
442	"""
443
444	if self.parent_class == u'SASprocess':
445	self.current_datainfo.process.append(self.process)
446	self.process = Process()
447	elif self.parent_class == u'SASdetector':
448	self.current_datainfo.detector.append(self.detector)
449	self.detector = Detector()
450	elif self.parent_class == u'SAStransmission_spectrum':
451	self.current_datainfo.trans_spectrum.append(self.trans_spectrum)
452	self.trans_spectrum = TransmissionSpectrum()
453	elif self.parent_class == u'SAScollimation':
454	self.current_datainfo.collimation.append(self.collimation)
455	self.collimation = Collimation()
456	elif self.parent_class == u'SASaperture':
457	self.collimation.aperture.append(self.aperture)
458	self.aperture = Aperture()
459	elif self.parent_class == u'SASdata':
460	if isinstance(self.current_dataset, plottable_2D):
461	self.data2d.append(self.current_dataset)
462	elif isinstance(self.current_dataset, plottable_1D):
463	self.data1d.append(self.current_dataset)
464
465	def final_data_cleanup(self):
466	"""
467	Does some final cleanup and formatting on self.current_datainfo and
468	all data1D and data2D objects and then combines the data and info into
469	Data1D and Data2D objects
470	"""
471	# Type cast data arrays to float64
472	if len(self.current_datainfo.trans_spectrum) > 0:
473	spectrum_list = []
474	for spectrum in self.current_datainfo.trans_spectrum:
475	spectrum.transmission = np.delete(spectrum.transmission, [0])
476	spectrum.transmission = spectrum.transmission.astype(np.float64)
477	spectrum.transmission_deviation = np.delete(
478	spectrum.transmission_deviation, [0])
479	spectrum.transmission_deviation = \
480	spectrum.transmission_deviation.astype(np.float64)
481	spectrum.wavelength = np.delete(spectrum.wavelength, [0])
482	spectrum.wavelength = spectrum.wavelength.astype(np.float64)
483	if len(spectrum.transmission) > 0:
484	spectrum_list.append(spectrum)
485	self.current_datainfo.trans_spectrum = spectrum_list
486
487	# Append errors to dataset and reset class errors
488	self.current_datainfo.errors = self.errors
489	self.errors.clear()
490
491	# Combine all plottables with datainfo and append each to output
492	# Type cast data arrays to float64 and find min/max as appropriate
493	for dataset in self.data2d:
494	zeros = np.ones(dataset.data.size, dtype=bool)
495	try:
496	for i in range(0, dataset.mask.size - 1):
497	zeros[i] = dataset.mask[i]
498	except:
499	self.errors.add(sys.exc_value)
500	dataset.mask = zeros
501	# Calculate the actual Q matrix
502	try:
503	if dataset.q_data.size <= 1:
504	dataset.q_data = np.sqrt(dataset.qx_data
505	* dataset.qx_data
506	+ dataset.qy_data
507	* dataset.qy_data)
508	except:
509	dataset.q_data = None
510
511	if dataset.data.ndim == 2:
512	(n_rows, n_cols) = dataset.data.shape
513	dataset.y_bins = dataset.qy_data[0::n_cols]
514	dataset.x_bins = dataset.qx_data[:n_cols]
515	dataset.data = dataset.data.flatten()
516	self.current_dataset = dataset
517	self.send_to_output()
518
519	for dataset in self.data1d:
520	self.current_dataset = dataset
521	self.send_to_output()
522
523	def add_data_set(self, key=""):
524	"""
525	Adds the current_dataset to the list of outputs after preforming final
526	processing on the data and then calls a private method to generate a
527	new data set.
528
529	:param key: NeXus group name for current tree level
530	"""
531
532	if self.current_datainfo and self.current_dataset:
533	self.final_data_cleanup()
534	self.data1d = []
535	self.data2d = []
536	self.current_datainfo = DataInfo()
537
538	def _initialize_new_data_set(self, value=None):
539	"""
540	A private class method to generate a new 1D or 2D data object based on
541	the type of data within the set. Outside methods should call
542	add_data_set() to be sure any existing data is stored properly.
543
544	:param parent_list: List of names of parent elements
545	"""
546	if self._is2d(value):
547	self.current_dataset = plottable_2D()
548	else:
549	x = np.array(0)
550	y = np.array(0)
551	self.current_dataset = plottable_1D(x, y)
552	self.current_datainfo.filename = self.raw_data.filename
553	self.mask_name = ""
554	self.i_name = ""
555	self.i_node = ""
556	self.q_name = []
557	self.q_uncertainties = []
558	self.q_resolutions = []
559	self.i_uncertainties = ""
560
561	def _find_data_attributes(self, value):
562	"""
563	A class to find the indices for Q, the name of the Qdev and Idev, and
564	the name of the mask.
565	:param value: SASdata/NXdata HDF5 Group
566	"""
567	signal = "I"
568	i_axes = ["Q"]
569	q_indices = [0]
570	attrs = value.attrs
571	if hasattr(attrs, "signal"):
572	signal = attrs.get("signal")
573	if hasattr(attrs, "I_axes"):
574	i_axes = np.array(str(attrs.get("I_axes")).split(","))
575	if hasattr(attrs, "Q_indices"):
576	q_indices = np.int_(attrs.get("Q_indices").split(","))
577	keys = value.keys()
578	self.mask_name = attrs.get("mask")
579	for val in q_indices:
580	self.q_name.append(i_axes[val])
581	self.i_name = signal
582	self.i_node = value.get(self.i_name)
583	for item in self.q_name:
584	if item in keys:
585	q_vals = value.get(item)
586	if q_vals.attrs.get("uncertainties"):
587	self.q_uncertainties = q_vals.attrs.get("uncertainties")
588	elif q_vals.attrs.get("uncertainty"):
589	self.q_uncertainties = q_vals.attrs.get("uncertainty")
590	if isinstance(self.q_uncertainties, str):
591	self.q_uncertainties = [self.q_uncertainties]
592	if q_vals.attrs.get("resolutions"):
593	self.q_resolutions = q_vals.attrs.get("resolutions")
594	if isinstance(self.q_resolutions, str):
595	self.q_resolutions = [self.q_resolutions]
596	if self.i_name in keys:
597	i_vals = value.get(self.i_name)
598	self.i_uncertainties = i_vals.attrs.get("uncertainties")
599	if self.i_uncertainties is None:
600	self.i_uncertainties = i_vals.attrs.get("uncertainty")
601
602	def _is2d(self, value, basename="I"):
603	"""
604	A private class to determine if the data set is 1d or 2d.
605
606	:param parent_list: List of parents nodes in the HDF5 file
607	:param basename: Approximate name of an entry to search for
608	:return: True if 2D, otherwise false
609	"""
610
611	vals = value.get(basename)
612	return (vals is not None and vals.shape is not None
613	and len(vals.shape) != 1)
614
615	def _create_unique_key(self, dictionary, name, numb=0):
616	"""
617	Create a unique key value for any dictionary to prevent overwriting
618	Recurses until a unique key value is found.
619
620	:param dictionary: A dictionary with any number of entries
621	:param name: The index of the item to be added to dictionary
622	:param numb: The number to be appended to the name, starts at 0
623	:return: The new name for the dictionary entry
624	"""
625	if dictionary.get(name) is not None:
626	numb += 1
627	name = name.split("_")[0]
628	name += "_{0}".format(numb)
629	name = self._create_unique_key(dictionary, name, numb)
630	return name
631
632	def _get_unit(self, value):
633	"""
634	Find the unit for a particular value within the h5py dictionary
635
636	:param value: attribute dictionary for a particular value set
637	:return: unit for the value passed to the method
638	"""
639	unit = h5attr(value, u'units')
640	if unit is None:
641	unit = h5attr(value, u'unit')
642	return unit

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SasView

source: sasview/src/sas/sascalc/dataloader/readers/cansas_reader_HDF5.py @ 02c1608e

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