pagestate.py @ 67d8b1b

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalcmagnetic_scattrelease-4.2.2ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 67d8b1b was da9b239, checked in by krzywon, 7 years ago
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1	"""
2	Class that holds a fit page state
3	"""
4	# TODO: Refactor code so we don't need to use getattr/setattr
5	################################################################################
6	# This software was developed by the University of Tennessee as part of the
7	# Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
8	# project funded by the US National Science Foundation.
9	#
10	# See the license text in license.txt
11	#
12	# copyright 2009, University of Tennessee
13	################################################################################
14	import time
15	import os
16	import sys
17	import wx
18	import copy
19	import logging
20	import numpy as np
21	import traceback
22
23	import xml.dom.minidom
24	from xml.dom.minidom import parseString
25	from lxml import etree
26
27	from sasmodels import convert
28	import sasmodels.weights
29
30	import sas.sascalc.dataloader
31	from sas.sascalc.dataloader.readers.cansas_reader import Reader as CansasReader
32	from sas.sascalc.dataloader.readers.cansas_reader import get_content, write_node
33	from sas.sascalc.dataloader.data_info import Data2D, Collimation, Detector
34	from sas.sascalc.dataloader.data_info import Process, Aperture
35
36	logger = logging.getLogger(__name__)
37
38	# Information to read/write state as xml
39	FITTING_NODE_NAME = 'fitting_plug_in'
40	CANSAS_NS = "cansas1d/1.0"
41
42	CUSTOM_MODEL = 'Plugin Models'
43	CUSTOM_MODEL_OLD = 'Customized Models'
44
45	LIST_OF_DATA_ATTRIBUTES = [["is_data", "is_data", "bool"],
46	["group_id", "data_group_id", "string"],
47	["data_name", "data_name", "string"],
48	["data_id", "data_id", "string"],
49	["name", "name", "string"],
50	["data_name", "data_name", "string"]]
51	LIST_OF_STATE_ATTRIBUTES = [["qmin", "qmin", "float"],
52	["qmax", "qmax", "float"],
53	["npts", "npts", "float"],
54	["categorycombobox", "categorycombobox", "string"],
55	["formfactorcombobox", "formfactorcombobox",
56	"string"],
57	["structurecombobox", "structurecombobox",
58	"string"],
59	["multi_factor", "multi_factor", "float"],
60	["magnetic_on", "magnetic_on", "bool"],
61	["enable_smearer", "enable_smearer", "bool"],
62	["disable_smearer", "disable_smearer", "bool"],
63	["pinhole_smearer", "pinhole_smearer", "bool"],
64	["slit_smearer", "slit_smearer", "bool"],
65	["enable_disp", "enable_disp", "bool"],
66	["disable_disp", "disable_disp", "bool"],
67	["dI_noweight", "dI_noweight", "bool"],
68	["dI_didata", "dI_didata", "bool"],
69	["dI_sqrdata", "dI_sqrdata", "bool"],
70	["dI_idata", "dI_idata", "bool"],
71	["enable2D", "enable2D", "bool"],
72	["cb1", "cb1", "bool"],
73	["tcChi", "tcChi", "float"],
74	["smearer", "smearer", "float"],
75	["smear_type", "smear_type", "string"],
76	["dq_l", "dq_l", "float"],
77	["dq_r", "dq_r", "float"],
78	["dx_percent", "dx_percent", "float"],
79	["dxl", "dxl", "float"],
80	["dxw", "dxw", "float"]]
81
82	LIST_OF_MODEL_ATTRIBUTES = [["values", "values"],
83	["weights", "weights"]]
84
85	DISPERSION_LIST = [["disp_obj_dict", "_disp_obj_dict", "string"]]
86
87	LIST_OF_STATE_PARAMETERS = [["parameters", "parameters"],
88	["str_parameters", "str_parameters"],
89	["orientation_parameters", "orientation_params"],
90	["dispersity_parameters",
91	"orientation_params_disp"],
92	["fixed_param", "fixed_param"],
93	["fittable_param", "fittable_param"]]
94	LIST_OF_DATA_2D_ATTR = [["xmin", "xmin", "float"],
95	["xmax", "xmax", "float"],
96	["ymin", "ymin", "float"],
97	["ymax", "ymax", "float"],
98	["_xaxis", "_xaxis", "string"],
99	["_xunit", "_xunit", "string"],
100	["_yaxis", "_yaxis", "string"],
101	["_yunit", "_yunit", "string"],
102	["_zaxis", "_zaxis", "string"],
103	["_zunit", "_zunit", "string"]]
104	LIST_OF_DATA_2D_VALUES = [["qx_data", "qx_data", "float"],
105	["qy_data", "qy_data", "float"],
106	["dqx_data", "dqx_data", "float"],
107	["dqy_data", "dqy_data", "float"],
108	["data", "data", "float"],
109	["q_data", "q_data", "float"],
110	["err_data", "err_data", "float"],
111	["mask", "mask", "bool"]]
112
113
114	def parse_entry_helper(node, item):
115	"""
116	Create a numpy list from value extrated from the node
117
118	:param node: node from each the value is stored
119	:param item: list name of three strings.the two first are name of data
120	attribute and the third one is the type of the value of that
121	attribute. type can be string, float, bool, etc.
122
123	: return: numpy array
124	"""
125	if node is not None:
126	if item[2] == "string":
127	return str(node.get(item[0]).strip())
128	elif item[2] == "bool":
129	try:
130	return node.get(item[0]).strip() == "True"
131	except Exception:
132	return None
133	else:
134	try:
135	return float(node.get(item[0]))
136	except Exception:
137	return None
138
139
140	class PageState(object):
141	"""
142	Contains information to reconstruct a page of the fitpanel.
143	"""
144	def __init__(self, parent=None, model=None, data=None):
145	"""
146	Initialize the current state
147
148	:param model: a selected model within a page
149	:param data:
150
151	"""
152	self.file = None
153	# Time of state creation
154	self.timestamp = time.time()
155	# Data member to store the dispersion object created
156	self._disp_obj_dict = {}
157	# ------------------------
158	# Data used for fitting
159	self.data = data
160	# model data
161	self.theory_data = None
162	# Is 2D
163	self.is_2D = False
164	self.images = None
165
166	# save additional information on data that dataloader.reader
167	# does not read
168	self.is_data = None
169	self.data_name = ""
170
171	if self.data is not None:
172	self.data_name = self.data.name
173	self.data_id = None
174	if self.data is not None and hasattr(self.data, "id"):
175	self.data_id = self.data.id
176	self.data_group_id = None
177	if self.data is not None and hasattr(self.data, "group_id"):
178	self.data_group_id = self.data.group_id
179
180	# reset True change the state of existing button
181	self.reset = False
182
183	# flag to allow data2D plot
184	self.enable2D = False
185	# model on which the fit would be performed
186	self.model = model
187	self.m_name = None
188	# list of process done to model
189	self.process = []
190	# fit page manager
191	self.manager = None
192	# Store the parent of this panel parent
193	# For this application fitpanel is the parent
194	self.parent = parent
195	# Event_owner is the owner of model event
196	self.event_owner = None
197	# page name
198	self.page_name = ""
199	# Contains link between model, its parameters, and panel organization
200	self.parameters = []
201	# String parameter list that can not be fitted
202	self.str_parameters = []
203	# Contains list of parameters that cannot be fitted and reference to
204	# panel objects
205	self.fixed_param = []
206	# Contains list of parameters with dispersity and reference to
207	# panel objects
208	self.fittable_param = []
209	# orientation parameters
210	self.orientation_params = []
211	# orientation parameters for gaussian dispersity
212	self.orientation_params_disp = []
213	# smearer info
214	self.smearer = None
215	self.smear_type = None
216	self.dq_l = None
217	self.dq_r = None
218	self.dx_percent = None
219	self.dx_old = False
220	self.dxl = None
221	self.dxw = None
222	# list of dispersion parameters
223	self.disp_list = []
224	if self.model is not None:
225	self.disp_list = self.model.getDispParamList()
226
227	self.disp_cb_dict = {}
228	self.values = {}
229	self.weights = {}
230
231	# contains link between a model and selected parameters to fit
232	self.param_toFit = []
233	# dictionary of model type and model class
234	self.model_list_box = None
235	# save the state of the context menu
236	self.saved_states = {}
237	# save selection of combobox
238	self.formfactorcombobox = None
239	self.categorycombobox = None
240	self.structurecombobox = None
241
242	# radio box to select type of model
243	# self.shape_rbutton = False
244	# self.shape_indep_rbutton = False
245	# self.struct_rbutton = False
246	# self.plugin_rbutton = False
247	# the indice of the current selection
248	self.disp_box = 0
249	# Qrange
250	# Q range
251	self.qmin = 0.001
252	self.qmax = 0.1
253	# reset data range
254	self.qmax_x = None
255	self.qmin_x = None
256
257	self.npts = None
258	self.name = ""
259	self.multi_factor = None
260	self.magnetic_on = False
261	# enable smearering state
262	self.enable_smearer = False
263	self.disable_smearer = True
264	self.pinhole_smearer = False
265	self.slit_smearer = False
266	# weighting options
267	self.dI_noweight = False
268	self.dI_didata = True
269	self.dI_sqrdata = False
270	self.dI_idata = False
271	# disperity selection
272	self.enable_disp = False
273	self.disable_disp = True
274
275	# state of selected all check button
276	self.cb1 = False
277	# store value of chisqr
278	self.tcChi = None
279	self.version = (1,0,0)
280
281	def clone(self):
282	"""
283	Create a new copy of the current object
284	"""
285	model = None
286	if self.model is not None:
287	model = self.model.clone()
288	model.name = self.model.name
289	obj = PageState(self.parent, model=model)
290	obj.file = copy.deepcopy(self.file)
291	obj.data = copy.deepcopy(self.data)
292	if self.data is not None:
293	self.data_name = self.data.name
294	obj.data_name = self.data_name
295	obj.is_data = self.is_data
296	obj.model_list_box = copy.deepcopy(self.model_list_box)
297
298	obj.categorycombobox = self.categorycombobox
299	obj.formfactorcombobox = self.formfactorcombobox
300	obj.structurecombobox = self.structurecombobox
301
302	# obj.shape_rbutton = self.shape_rbutton
303	# obj.shape_indep_rbutton = self.shape_indep_rbutton
304	# obj.struct_rbutton = self.struct_rbutton
305	# obj.plugin_rbutton = self.plugin_rbutton
306
307	obj.manager = self.manager
308	obj.event_owner = self.event_owner
309	obj.disp_list = copy.deepcopy(self.disp_list)
310
311	obj.enable2D = copy.deepcopy(self.enable2D)
312	obj.parameters = copy.deepcopy(self.parameters)
313	obj.str_parameters = copy.deepcopy(self.str_parameters)
314	obj.fixed_param = copy.deepcopy(self.fixed_param)
315	obj.fittable_param = copy.deepcopy(self.fittable_param)
316	obj.orientation_params = copy.deepcopy(self.orientation_params)
317	obj.orientation_params_disp = \
318	copy.deepcopy(self.orientation_params_disp)
319	obj.enable_disp = copy.deepcopy(self.enable_disp)
320	obj.disable_disp = copy.deepcopy(self.disable_disp)
321	obj.tcChi = self.tcChi
322
323	if len(self._disp_obj_dict) > 0:
324	for k, v in self._disp_obj_dict.iteritems():
325	obj._disp_obj_dict[k] = v
326	if len(self.disp_cb_dict) > 0:
327	for k, v in self.disp_cb_dict.iteritems():
328	obj.disp_cb_dict[k] = v
329	if len(self.values) > 0:
330	for k, v in self.values.iteritems():
331	obj.values[k] = v
332	if len(self.weights) > 0:
333	for k, v in self.weights.iteritems():
334	obj.weights[k] = v
335	obj.enable_smearer = copy.deepcopy(self.enable_smearer)
336	obj.disable_smearer = copy.deepcopy(self.disable_smearer)
337	obj.pinhole_smearer = copy.deepcopy(self.pinhole_smearer)
338	obj.slit_smearer = copy.deepcopy(self.slit_smearer)
339	obj.smear_type = copy.deepcopy(self.smear_type)
340	obj.dI_noweight = copy.deepcopy(self.dI_noweight)
341	obj.dI_didata = copy.deepcopy(self.dI_didata)
342	obj.dI_sqrdata = copy.deepcopy(self.dI_sqrdata)
343	obj.dI_idata = copy.deepcopy(self.dI_idata)
344	obj.dq_l = copy.deepcopy(self.dq_l)
345	obj.dq_r = copy.deepcopy(self.dq_r)
346	obj.dx_percent = copy.deepcopy(self.dx_percent)
347	obj.dx_old = copy.deepcopy(self.dx_old)
348	obj.dxl = copy.deepcopy(self.dxl)
349	obj.dxw = copy.deepcopy(self.dxw)
350	obj.disp_box = copy.deepcopy(self.disp_box)
351	obj.qmin = copy.deepcopy(self.qmin)
352	obj.qmax = copy.deepcopy(self.qmax)
353	obj.multi_factor = self.multi_factor
354	obj.magnetic_on = self.magnetic_on
355	obj.npts = copy.deepcopy(self.npts)
356	obj.cb1 = copy.deepcopy(self.cb1)
357	obj.smearer = copy.deepcopy(self.smearer)
358	obj.version = copy.deepcopy(self.version)
359
360	for name, state in self.saved_states.iteritems():
361	copy_name = copy.deepcopy(name)
362	copy_state = state.clone()
363	obj.saved_states[copy_name] = copy_state
364	return obj
365
366	def _old_first_model(self):
367	"""
368	Handle save states from 4.0.1 and before where the first item in the
369	selection boxes of category, formfactor and structurefactor were not
370	saved.
371	:return: None
372	"""
373	if self.categorycombobox == CUSTOM_MODEL_OLD:
374	self.categorycombobox = CUSTOM_MODEL
375	if self.formfactorcombobox == '':
376	FIRST_FORM = {
377	'Shapes' : 'BCCrystalModel',
378	'Uncategorized' : 'LineModel',
379	'StructureFactor' : 'HardsphereStructure',
380	'Ellipsoid' : 'core_shell_ellipsoid',
381	'Lamellae' : 'lamellar',
382	'Paracrystal' : 'bcc_paracrystal',
383	'Parallelepiped' : 'core_shell_parallelepiped',
384	'Shape Independent' : 'be_polyelectrolyte',
385	'Sphere' : 'adsorbed_layer',
386	'Structure Factor' : 'hardsphere',
387	CUSTOM_MODEL : ''
388	}
389	if self.categorycombobox == '':
390	if len(self.parameters) == 3:
391	self.categorycombobox = "Shape-Independent"
392	self.formfactorcombobox = 'PowerLawAbsModel'
393	elif len(self.parameters) == 9:
394	self.categorycombobox = 'Cylinder'
395	self.formfactorcombobox = 'barbell'
396	else:
397	msg = "Save state does not have enough information to load"
398	msg += " the all of the data."
399	logger.warning(msg=msg)
400	else:
401	self.formfactorcombobox = FIRST_FORM[self.categorycombobox]
402
403	@staticmethod
404	def param_remap_to_sasmodels_convert(params, is_string=False):
405	"""
406	Remaps the parameters for sasmodels conversion
407
408	:param params: list of parameters (likely self.parameters)
409	:return: remapped dictionary of parameters
410	"""
411	p = dict()
412	for fittable, name, value, _, uncert, lower, upper, units in params:
413	if not value:
414	value = np.nan
415	if not uncert or uncert[1] == '' or uncert[1] == 'None':
416	uncert[0] = False
417	uncert[1] = np.nan
418	if not upper or upper[1] == '' or upper[1] == 'None':
419	upper[0] = False
420	upper[1] = np.nan
421	if not lower or lower[1] == '' or lower[1] == 'None':
422	lower[0] = False
423	lower[1] = np.nan
424	if is_string:
425	p[name] = str(value)
426	else:
427	p[name] = float(value)
428	p[name + ".fittable"] = bool(fittable)
429	p[name + ".std"] = float(uncert[1])
430	p[name + ".upper"] = float(upper[1])
431	p[name + ".lower"] = float(lower[1])
432	p[name + ".units"] = units
433	return p
434
435	@staticmethod
436	def param_remap_from_sasmodels_convert(params):
437	"""
438	Converts {name : value} map back to [] param list
439	:param params: parameter map returned from sasmodels
440	:return: None
441	"""
442	p_map = []
443	for name, info in params.iteritems():
444	if ".fittable" in name or ".std" in name or ".upper" in name or \
445	".lower" in name or ".units" in name:
446	pass
447	else:
448	fittable = params.get(name + ".fittable", True)
449	std = params.get(name + ".std", '0.0')
450	upper = params.get(name + ".upper", 'inf')
451	lower = params.get(name + ".lower", '-inf')
452	units = params.get(name + ".units")
453	if std is not None and std is not np.nan:
454	std = [True, str(std)]
455	else:
456	std = [False, '']
457	if lower is not None and lower is not np.nan:
458	lower = [True, str(lower)]
459	else:
460	lower = [True, '-inf']
461	if upper is not None and upper is not np.nan:
462	upper = [True, str(upper)]
463	else:
464	upper = [True, 'inf']
465	param_list = [bool(fittable), str(name), str(info),
466	"+/-", std, lower, upper, str(units)]
467	p_map.append(param_list)
468	return p_map
469
470	def _convert_to_sasmodels(self):
471	"""
472	Convert parameters to a form usable by sasmodels converter
473
474	:return: None
475	"""
476	# Create conversion dictionary to send to sasmodels
477	self._old_first_model()
478	p = self.param_remap_to_sasmodels_convert(self.parameters)
479	structurefactor, params = convert.convert_model(self.structurecombobox,
480	p, False, self.version)
481	formfactor, params = convert.convert_model(self.formfactorcombobox,
482	params, False, self.version)
483	if len(self.str_parameters) > 0:
484	str_pars = self.param_remap_to_sasmodels_convert(
485	self.str_parameters, True)
486	formfactor, str_params = convert.convert_model(
487	self.formfactorcombobox, str_pars, False, self.version)
488	for key, value in str_params.iteritems():
489	params[key] = value
490
491	if self.formfactorcombobox == 'SphericalSLDModel':
492	self.multi_factor += 1
493	self.formfactorcombobox = formfactor
494	self.structurecombobox = structurefactor
495	self.parameters = []
496	self.parameters = self.param_remap_from_sasmodels_convert(params)
497
498	def _repr_helper(self, list, rep):
499	"""
500	Helper method to print a state
501	"""
502	for item in list:
503	rep += "parameter name: %s \n" % str(item[1])
504	rep += "value: %s\n" % str(item[2])
505	rep += "selected: %s\n" % str(item[0])
506	rep += "error displayed : %s \n" % str(item[4][0])
507	rep += "error value:%s \n" % str(item[4][1])
508	rep += "minimum displayed : %s \n" % str(item[5][0])
509	rep += "minimum value : %s \n" % str(item[5][1])
510	rep += "maximum displayed : %s \n" % str(item[6][0])
511	rep += "maximum value : %s \n" % str(item[6][1])
512	rep += "parameter unit: %s\n\n" % str(item[7])
513	return rep
514
515	def __repr__(self):
516	"""
517	output string for printing
518	"""
519	rep = "\nState name: %s\n" % self.file
520	t = time.localtime(self.timestamp)
521	time_str = time.strftime("%b %d %Y %H;%M;%S ", t)
522
523	rep += "State created: %s\n" % time_str
524	rep += "State form factor combobox selection: %s\n" % \
525	self.formfactorcombobox
526	rep += "State structure factor combobox selection: %s\n" % \
527	self.structurecombobox
528	rep += "is data : %s\n" % self.is_data
529	rep += "data's name : %s\n" % self.data_name
530	rep += "data's id : %s\n" % self.data_id
531	if self.model is not None:
532	m_name = self.model.__class__.__name__
533	if m_name == 'Model':
534	m_name = self.m_name
535	rep += "model name : %s\n" % m_name
536	else:
537	rep += "model name : None\n"
538	rep += "multi_factor : %s\n" % str(self.multi_factor)
539	rep += "magnetic_on : %s\n" % str(self.magnetic_on)
540	rep += "model type (Category) selected: %s\n" % self.categorycombobox
541	rep += "data : %s\n" % str(self.data)
542	rep += "Plotting Range: min: %s, max: %s, steps: %s\n" % \
543	(str(self.qmin), str(self.qmax), str(self.npts))
544	rep += "Dispersion selection : %s\n" % str(self.disp_box)
545	rep += "Smearing enable : %s\n" % str(self.enable_smearer)
546	rep += "Smearing disable : %s\n" % str(self.disable_smearer)
547	rep += "Pinhole smearer enable : %s\n" % str(self.pinhole_smearer)
548	rep += "Slit smearer enable : %s\n" % str(self.slit_smearer)
549	rep += "Dispersity enable : %s\n" % str(self.enable_disp)
550	rep += "Dispersity disable : %s\n" % str(self.disable_disp)
551	rep += "Slit smearer enable: %s\n" % str(self.slit_smearer)
552
553	rep += "dI_noweight : %s\n" % str(self.dI_noweight)
554	rep += "dI_didata : %s\n" % str(self.dI_didata)
555	rep += "dI_sqrdata : %s\n" % str(self.dI_sqrdata)
556	rep += "dI_idata : %s\n" % str(self.dI_idata)
557
558	rep += "2D enable : %s\n" % str(self.enable2D)
559	rep += "All parameters checkbox selected: %s\n" % self.cb1
560	rep += "Value of Chisqr : %s\n" % str(self.tcChi)
561	rep += "Smear object : %s\n" % self.smearer
562	rep += "Smear type : %s\n" % self.smear_type
563	rep += "dq_l : %s\n" % self.dq_l
564	rep += "dq_r : %s\n" % self.dq_r
565	rep += "dx_percent : %s\n" % str(self.dx_percent)
566	rep += "dxl : %s\n" % str(self.dxl)
567	rep += "dxw : %s\n" % str(self.dxw)
568	rep += "model : %s\n\n" % str(self.model)
569	temp_parameters = []
570	temp_fittable_param = []
571	if self.data.__class__.__name__ == "Data2D":
572	self.is_2D = True
573	else:
574	self.is_2D = False
575	if self.data is not None:
576	if not self.is_2D:
577	for item in self.parameters:
578	if item not in self.orientation_params:
579	temp_parameters.append(item)
580	for item in self.fittable_param:
581	if item not in self.orientation_params_disp:
582	temp_fittable_param.append(item)
583	else:
584	temp_parameters = self.parameters
585	temp_fittable_param = self.fittable_param
586
587	rep += "number parameters(self.parameters): %s\n" % \
588	len(temp_parameters)
589	rep = self._repr_helper(list=temp_parameters, rep=rep)
590	rep += "number str_parameters(self.str_parameters): %s\n" % \
591	len(self.str_parameters)
592	rep = self._repr_helper(list=self.str_parameters, rep=rep)
593	rep += "number fittable_param(self.fittable_param): %s\n" % \
594	len(temp_fittable_param)
595	rep = self._repr_helper(list=temp_fittable_param, rep=rep)
596	return rep
597
598	def set_report_string(self):
599	"""
600	Get the values (strings) from __str__ for report
601	"""
602	# Dictionary of the report strings
603	repo_time = ""
604	model_name = ""
605	title = ""
606	title_name = ""
607	file_name = ""
608	param_string = ""
609	paramval_string = ""
610	chi2_string = ""
611	q_range = ""
612	strings = self.__repr__()
613	lines = strings.split('\n')
614
615	# get all string values from __str__()
616	for line in lines:
617	value = ""
618	content = line.split(":")
619	if line == '' or len(content) == 1:
620	continue
621	name = content[0]
622	try:
623	value = content[1]
624	except Exception:
625	msg = "Report string expected 'name: value' but got %r" % line
626	logger.error(msg)
627	if name.count("State created"):
628	repo_time = "" + value
629	if name.count("parameter name"):
630	val_name = value.split(".")
631	if len(val_name) > 1:
632	if val_name[1].count("width"):
633	param_string += value + ','
634	else:
635	continue
636	else:
637	param_string += value + ','
638	if name == "value":
639	param_string += value + ','
640	fixed_parameter = False
641	if name == "selected":
642	if value == u' False':
643	fixed_parameter = True
644	if name == "error value":
645	if fixed_parameter:
646	param_string += '(fixed),'
647	else:
648	param_string += value + ','
649	if name == "parameter unit":
650	param_string += value + ':'
651	if name == "Value of Chisqr ":
652	chi2 = ("Chi2/Npts = " + value)
653	chi2_string = CENTRE % chi2
654	if name == "Title":
655	if len(value.strip()) == 0:
656	continue
657	title = value + " [" + repo_time + "]"
658	title_name = HEADER % title
659	if name == "data ":
660	try:
661	file_value = ("File name:" + content[2])
662	file_name = CENTRE % file_value
663	if len(title) == 0:
664	title = content[2] + " [" + repo_time + "]"
665	title_name = HEADER % title
666	except Exception:
667	msg = "While parsing 'data: ...'\n"
668	logger.error(msg + traceback.format_exc())
669	if name == "model name ":
670	try:
671	modelname = "Model name:" + content[1]
672	except:
673	modelname = "Model name:" + " NAN"
674	model_name = CENTRE % modelname
675
676	if name == "Plotting Range":
677	try:
678	q_range = content[1] + " = " + content[2] \
679	+ " = " + content[3].split(",")[0]
680	q_name = ("Q Range: " + q_range)
681	q_range = CENTRE % q_name
682	except Exception:
683	msg = "While parsing 'Plotting Range: ...'\n"
684	logger.error(msg + traceback.format_exc())
685	paramval = ""
686	for lines in param_string.split(":"):
687	line = lines.split(",")
688	if len(lines) > 0:
689	param = line[0]
690	param += " = " + line[1]
691	if len(line[2].split()) > 0 and not line[2].count("None"):
692	param += " +- " + line[2]
693	if len(line[3].split()) > 0 and not line[3].count("None"):
694	param += " " + line[3]
695	if not paramval.count(param):
696	paramval += param + "\n"
697	paramval_string += CENTRE % param + "\n"
698
699	text_string = "\n\n\n%s\n\n%s\n%s\n%s\n\n%s" % \
700	(title, file, q_name, chi2, paramval)
701
702	title_name = self._check_html_format(title_name)
703	file_name = self._check_html_format(file_name)
704	title = self._check_html_format(title)
705
706	html_string = title_name + "\n" + file_name + \
707	"\n" + model_name + \
708	"\n" + q_range + \
709	"\n" + chi2_string + \
710	"\n" + ELINE + \
711	"\n" + paramval_string + \
712	"\n" + ELINE + \
713	"\n" + FEET_1 % title + \
714	"\n" + FEET_2
715
716	return html_string, text_string, title
717
718	def _check_html_format(self, name):
719	"""
720	Check string '%' for html format
721	"""
722	if name.count('%'):
723	name = name.replace('%', '&#37')
724
725	return name
726
727	def report(self, figs=None, canvases=None):
728	"""
729	Invoke report dialog panel
730
731	: param figs: list of pylab figures [list]
732	"""
733	from sas.sasgui.perspectives.fitting.report_dialog import ReportDialog
734	# get the strings for report
735	html_str, text_str, title = self.set_report_string()
736	# Allow 2 figures to append
737	if len(figs) == 1:
738	add_str = FEET_3
739	elif len(figs) == 2:
740	add_str = ELINE
741	add_str += FEET_2 % ("%s")
742	add_str += ELINE
743	add_str += FEET_3
744	elif len(figs) > 2:
745	add_str = ELINE
746	add_str += FEET_2 % ("%s")
747	add_str += ELINE
748	add_str += FEET_2 % ("%s")
749	add_str += ELINE
750	add_str += FEET_3
751	else:
752	add_str = ""
753
754	# final report html strings
755	report_str = html_str % ("%s") + add_str
756
757	# make plot image
758	images = self.set_plot_state(figs, canvases)
759	report_list = [report_str, text_str, images]
760	dialog = ReportDialog(report_list, None, wx.ID_ANY, "")
761	dialog.Show()
762
763	def _to_xml_helper(self, thelist, element, newdoc):
764	"""
765	Helper method to create xml file for saving state
766	"""
767	for item in thelist:
768	sub_element = newdoc.createElement('parameter')
769	sub_element.setAttribute('name', str(item[1]))
770	sub_element.setAttribute('value', str(item[2]))
771	sub_element.setAttribute('selected_to_fit', str(item[0]))
772	sub_element.setAttribute('error_displayed', str(item[4][0]))
773	sub_element.setAttribute('error_value', str(item[4][1]))
774	sub_element.setAttribute('minimum_displayed', str(item[5][0]))
775	sub_element.setAttribute('minimum_value', str(item[5][1]))
776	sub_element.setAttribute('maximum_displayed', str(item[6][0]))
777	sub_element.setAttribute('maximum_value', str(item[6][1]))
778	sub_element.setAttribute('unit', str(item[7]))
779	element.appendChild(sub_element)
780
781	def to_xml(self, file="fitting_state.fitv", doc=None,
782	entry_node=None, batch_fit_state=None):
783	"""
784	Writes the state of the fit panel to file, as XML.
785
786	Compatible with standalone writing, or appending to an
787	already existing XML document. In that case, the XML document is
788	required. An optional entry node in the XML document may also be given.
789
790	:param file: file to write to
791	:param doc: XML document object [optional]
792	:param entry_node: XML node within the XML document at which we
793	will append the data [optional]
794	:param batch_fit_state: simultaneous fit state
795	"""
796	from xml.dom.minidom import getDOMImplementation
797
798	# Check whether we have to write a standalone XML file
799	if doc is None:
800	impl = getDOMImplementation()
801	doc_type = impl.createDocumentType(FITTING_NODE_NAME, "1.0", "1.0")
802	newdoc = impl.createDocument(None, FITTING_NODE_NAME, doc_type)
803	top_element = newdoc.documentElement
804	else:
805	# We are appending to an existing document
806	newdoc = doc
807	try:
808	top_element = newdoc.createElement(FITTING_NODE_NAME)
809	except:
810	string = etree.tostring(doc, pretty_print=True)
811	newdoc = parseString(string)
812	top_element = newdoc.createElement(FITTING_NODE_NAME)
813	if entry_node is None:
814	newdoc.documentElement.appendChild(top_element)
815	else:
816	try:
817	entry_node.appendChild(top_element)
818	except:
819	node_name = entry_node.tag
820	node_list = newdoc.getElementsByTagName(node_name)
821	entry_node = node_list.item(0)
822	entry_node.appendChild(top_element)
823
824	attr = newdoc.createAttribute("version")
825	from sas import sasview
826	attr.nodeValue = sasview.__version__
827	# attr.nodeValue = '1.0'
828	top_element.setAttributeNode(attr)
829
830	# File name
831	element = newdoc.createElement("filename")
832	if self.file is not None:
833	element.appendChild(newdoc.createTextNode(str(self.file)))
834	else:
835	element.appendChild(newdoc.createTextNode(str(file)))
836	top_element.appendChild(element)
837
838	element = newdoc.createElement("timestamp")
839	element.appendChild(newdoc.createTextNode(time.ctime(self.timestamp)))
840	attr = newdoc.createAttribute("epoch")
841	attr.nodeValue = str(self.timestamp)
842	element.setAttributeNode(attr)
843	top_element.appendChild(element)
844
845	# Inputs
846	inputs = newdoc.createElement("Attributes")
847	top_element.appendChild(inputs)
848
849	if self.data is not None and hasattr(self.data, "group_id"):
850	self.data_group_id = self.data.group_id
851	if self.data is not None and hasattr(self.data, "is_data"):
852	self.is_data = self.data.is_data
853	if self.data is not None:
854	self.data_name = self.data.name
855	if self.data is not None and hasattr(self.data, "id"):
856	self.data_id = self.data.id
857
858	for item in LIST_OF_DATA_ATTRIBUTES:
859	element = newdoc.createElement(item[0])
860	element.setAttribute(item[0], str(getattr(self, item[1])))
861	inputs.appendChild(element)
862
863	for item in LIST_OF_STATE_ATTRIBUTES:
864	element = newdoc.createElement(item[0])
865	element.setAttribute(item[0], str(getattr(self, item[1])))
866	inputs.appendChild(element)
867
868	# For self.values ={ disp_param_name: [vals,...],...}
869	# and for self.weights ={ disp_param_name: [weights,...],...}
870	for item in LIST_OF_MODEL_ATTRIBUTES:
871	element = newdoc.createElement(item[0])
872	value_list = getattr(self, item[1])
873	for key, value in value_list.iteritems():
874	sub_element = newdoc.createElement(key)
875	sub_element.setAttribute('name', str(key))
876	for val in value:
877	sub_element.appendChild(newdoc.createTextNode(str(val)))
878
879	element.appendChild(sub_element)
880	inputs.appendChild(element)
881
882	# Create doc for the dictionary of self._disp_obj_dic
883	for tagname, varname, tagtype in DISPERSION_LIST:
884	element = newdoc.createElement(tagname)
885	value_list = getattr(self, varname)
886	for key, value in value_list.iteritems():
887	sub_element = newdoc.createElement(key)
888	sub_element.setAttribute('name', str(key))
889	sub_element.setAttribute('value', str(value))
890	element.appendChild(sub_element)
891	inputs.appendChild(element)
892
893	for item in LIST_OF_STATE_PARAMETERS:
894	element = newdoc.createElement(item[0])
895	self._to_xml_helper(thelist=getattr(self, item[1]),
896	element=element, newdoc=newdoc)
897	inputs.appendChild(element)
898
899	# Combined and Simultaneous Fit Parameters
900	if batch_fit_state is not None:
901	batch_combo = newdoc.createElement('simultaneous_fit')
902	top_element.appendChild(batch_combo)
903
904	# Simultaneous Fit Number For Linking Later
905	element = newdoc.createElement('sim_fit_number')
906	element.setAttribute('fit_number', str(batch_fit_state.fit_page_no))
907	batch_combo.appendChild(element)
908
909	# Save constraints
910	constraints = newdoc.createElement('constraints')
911	batch_combo.appendChild(constraints)
912	for constraint in batch_fit_state.constraints_list:
913	if constraint.model_cbox.GetValue() != "":
914	# model_cbox, param_cbox, egal_txt, constraint,
915	# btRemove, sizer
916	doc_cons = newdoc.createElement('constraint')
917	doc_cons.setAttribute('model_cbox',
918	str(constraint.model_cbox.GetValue()))
919	doc_cons.setAttribute('param_cbox',
920	str(constraint.param_cbox.GetValue()))
921	doc_cons.setAttribute('egal_txt',
922	str(constraint.egal_txt.GetLabel()))
923	doc_cons.setAttribute('constraint',
924	str(constraint.constraint.GetValue()))
925	constraints.appendChild(doc_cons)
926
927	# Save all models
928	models = newdoc.createElement('model_list')
929	batch_combo.appendChild(models)
930	for model in batch_fit_state.model_list:
931	doc_model = newdoc.createElement('model_list_item')
932	doc_model.setAttribute('checked', str(model[0].GetValue()))
933	keys = model[1].keys()
934	doc_model.setAttribute('name', str(keys[0]))
935	values = model[1].get(keys[0])
936	doc_model.setAttribute('fit_number', str(model[2]))
937	doc_model.setAttribute('fit_page_source', str(model[3]))
938	doc_model.setAttribute('model_name', str(values.model.id))
939	models.appendChild(doc_model)
940
941	# Select All Checkbox
942	element = newdoc.createElement('select_all')
943	if batch_fit_state.select_all:
944	element.setAttribute('checked', 'True')
945	else:
946	element.setAttribute('checked', 'False')
947	batch_combo.appendChild(element)
948
949	# Save the file
950	if doc is None:
951	fd = open(file, 'w')
952	fd.write(newdoc.toprettyxml())
953	fd.close()
954	return None
955	else:
956	return newdoc
957
958	def _from_xml_helper(self, node, list):
959	"""
960	Helper function to write state to xml
961	"""
962	for item in node:
963	try:
964	name = item.get('name')
965	except:
966	name = None
967	try:
968	value = item.get('value')
969	except:
970	value = None
971	try:
972	selected_to_fit = (item.get('selected_to_fit') == "True")
973	except:
974	selected_to_fit = None
975	try:
976	error_displayed = (item.get('error_displayed') == "True")
977	except:
978	error_displayed = None
979	try:
980	error_value = item.get('error_value')
981	except:
982	error_value = None
983	try:
984	minimum_displayed = (item.get('minimum_displayed') == "True")
985	except:
986	minimum_displayed = None
987	try:
988	minimum_value = item.get('minimum_value')
989	except:
990	minimum_value = None
991	try:
992	maximum_displayed = (item.get('maximum_displayed') == "True")
993	except:
994	maximum_displayed = None
995	try:
996	maximum_value = item.get('maximum_value')
997	except:
998	maximum_value = None
999	try:
1000	unit = item.get('unit')
1001	except:
1002	unit = None
1003	list.append([selected_to_fit, name, value, "+/-",
1004	[error_displayed, error_value],
1005	[minimum_displayed, minimum_value],
1006	[maximum_displayed, maximum_value], unit])
1007
1008	def from_xml(self, file=None, node=None):
1009	"""
1010	Load fitting state from a file
1011
1012	:param file: .fitv file
1013	:param node: node of a XML document to read from
1014	"""
1015	if file is not None:
1016	msg = "PageState no longer supports non-CanSAS"
1017	msg += " format for fitting files"
1018	raise RuntimeError, msg
1019
1020	if node.get('version'):
1021	# Get the version for model conversion purposes
1022	self.version = tuple(int(e) for e in
1023	str.split(node.get('version'), "."))
1024	# The tuple must be at least 3 items long
1025	while len(self.version) < 3:
1026	ver_list = list(self.version)
1027	ver_list.append(0)
1028	self.version = tuple(ver_list)
1029
1030	# Get file name
1031	entry = get_content('ns:filename', node)
1032	if entry is not None:
1033	self.file = entry.text.strip()
1034
1035	# Get time stamp
1036	entry = get_content('ns:timestamp', node)
1037	if entry is not None and entry.get('epoch'):
1038	try:
1039	self.timestamp = float(entry.get('epoch'))
1040	except:
1041	msg = "PageState.fromXML: Could not"
1042	msg += " read timestamp\n %s" % sys.exc_value
1043	logger.error(msg)
1044
1045	if entry is not None:
1046	# Parse fitting attributes
1047	entry = get_content('ns:Attributes', node)
1048	for item in LIST_OF_DATA_ATTRIBUTES:
1049	node = get_content('ns:%s' % item[0], entry)
1050	setattr(self, item[0], parse_entry_helper(node, item))
1051
1052	dx_old_node = get_content('ns:%s' % 'dx_min', entry)
1053	for item in LIST_OF_STATE_ATTRIBUTES:
1054	if item[0] == "dx_percent" and dx_old_node is not None:
1055	dxmin = ["dx_min", "dx_min", "float"]
1056	setattr(self, item[0], parse_entry_helper(dx_old_node,
1057	dxmin))
1058	self.dx_old = True
1059	else:
1060	node = get_content('ns:%s' % item[0], entry)
1061	setattr(self, item[0], parse_entry_helper(node, item))
1062
1063	for item in LIST_OF_STATE_PARAMETERS:
1064	node = get_content("ns:%s" % item[0], entry)
1065	self._from_xml_helper(node=node,
1066	list=getattr(self, item[1]))
1067
1068	# Recover _disp_obj_dict from xml file
1069	self._disp_obj_dict = {}
1070	for tagname, varname, tagtype in DISPERSION_LIST:
1071	node = get_content("ns:%s" % tagname, entry)
1072	for attr in node:
1073	parameter = str(attr.get('name'))
1074	value = attr.get('value')
1075	if value.startswith("<"):
1076	try:
1077	# <path.to.NamedDistribution object/instance...>
1078	cls_name = value[1:].split()[0].split('.')[-1]
1079	cls = getattr(sasmodels.weights, cls_name)
1080	value = cls.type
1081	except Exception:
1082	base = "unable to load distribution %r for %s"
1083	logger.error(base % (value, parameter))
1084	continue
1085	_disp_obj_dict = getattr(self, varname)
1086	_disp_obj_dict[parameter] = value
1087
1088	# get self.values and self.weights dic. if exists
1089	for tagname, varname in LIST_OF_MODEL_ATTRIBUTES:
1090	node = get_content("ns:%s" % tagname, entry)
1091	dic = {}
1092	value_list = []
1093	for par in node:
1094	name = par.get('name')
1095	values = par.text.split()
1096	# Get lines only with numbers
1097	for line in values:
1098	try:
1099	val = float(line)
1100	value_list.append(val)
1101	except Exception:
1102	# pass if line is empty (it happens)
1103	msg = ("Error reading %r from %s %s\n"
1104	% (line, tagname, name))
1105	logger.error(msg + traceback.format_exc())
1106	dic[name] = np.array(value_list)
1107	setattr(self, varname, dic)
1108
1109	def set_plot_state(self, figs, canvases):
1110	"""
1111	Build image state that wx.html understand
1112	by plotting, putting it into wx.FileSystem image object
1113
1114	"""
1115	images = []
1116
1117	# Reset memory
1118	self.imgRAM = None
1119	wx.MemoryFSHandler()
1120
1121	# For no figures in the list, prepare empty plot
1122	if figs is None or len(figs) == 0:
1123	figs = [None]
1124
1125	# Loop over the list of figures
1126	# use wx.MemoryFSHandler
1127	self.imgRAM = wx.MemoryFSHandler()
1128	for fig in figs:
1129	if fig is not None:
1130	ind = figs.index(fig)
1131	canvas = canvases[ind]
1132
1133	# store the image in wx.FileSystem Object
1134	wx.FileSystem.AddHandler(wx.MemoryFSHandler())
1135
1136	# index of the fig
1137	ind = figs.index(fig)
1138
1139	# AddFile, image can be retrieved with 'memory:filename'
1140	self.imgRAM.AddFile('img_fit%s.png' % ind,
1141	canvas.bitmap, wx.BITMAP_TYPE_PNG)
1142
1143	# append figs
1144	images.append(fig)
1145
1146	return images
1147
1148
1149	class Reader(CansasReader):
1150	"""
1151	Class to load a .fitv fitting file
1152	"""
1153	# File type
1154	type_name = "Fitting"
1155
1156	# Wildcards
1157	type = ["Fitting files (.fitv)\|.fitv"
1158	"SASView file (.svs)\|.svs"]
1159	# List of allowed extensions
1160	ext = ['.fitv', '.FITV', '.svs', 'SVS']
1161
1162	def __init__(self, call_back=None, cansas=True):
1163	CansasReader.__init__(self)
1164	"""
1165	Initialize the call-back method to be called
1166	after we load a file
1167
1168	:param call_back: call-back method
1169	:param cansas: True = files will be written/read in CanSAS format
1170	False = write CanSAS format
1171
1172	"""
1173	# Call back method to be executed after a file is read
1174	self.call_back = call_back
1175	# CanSAS format flag
1176	self.cansas = cansas
1177	self.state = None
1178	# batch fitting params for saving
1179	self.batchfit_params = []
1180
1181	def get_state(self):
1182	return self.state
1183
1184	def read(self, path):
1185	"""
1186	Load a new P(r) inversion state from file
1187
1188	:param path: file path
1189
1190	"""
1191	if self.cansas:
1192	return self._read_cansas(path)
1193
1194	def _parse_state(self, entry):
1195	"""
1196	Read a fit result from an XML node
1197
1198	:param entry: XML node to read from
1199	:return: PageState object
1200	"""
1201	# Create an empty state
1202	state = None
1203	# Locate the P(r) node
1204	try:
1205	nodes = entry.xpath('ns:%s' % FITTING_NODE_NAME,
1206	namespaces={'ns': CANSAS_NS})
1207	if nodes:
1208	# Create an empty state
1209	state = PageState()
1210	state.from_xml(node=nodes[0])
1211
1212	except:
1213	logger.info("XML document does not contain fitting information.\n"
1214	+ traceback.format_exc())
1215
1216	return state
1217
1218	def _parse_simfit_state(self, entry):
1219	"""
1220	Parses the saved data for a simultaneous fit
1221	:param entry: XML object to read from
1222	:return: XML object for a simultaneous fit or None
1223	"""
1224	nodes = entry.xpath('ns:%s' % FITTING_NODE_NAME,
1225	namespaces={'ns': CANSAS_NS})
1226	if nodes:
1227	simfitstate = nodes[0].xpath('ns:simultaneous_fit',
1228	namespaces={'ns': CANSAS_NS})
1229	if simfitstate:
1230	from simfitpage import SimFitPageState
1231	sim_fit_state = SimFitPageState()
1232	simfitstate_0 = simfitstate[0]
1233	all = simfitstate_0.xpath('ns:select_all',
1234	namespaces={'ns': CANSAS_NS})
1235	atts = all[0].attrib
1236	checked = atts.get('checked')
1237	sim_fit_state.select_all = bool(checked)
1238	model_list = simfitstate_0.xpath('ns:model_list',
1239	namespaces={'ns': CANSAS_NS})
1240	model_list_items = model_list[0].xpath('ns:model_list_item',
1241	namespaces={'ns':
1242	CANSAS_NS})
1243	for model in model_list_items:
1244	attrs = model.attrib
1245	sim_fit_state.model_list.append(attrs)
1246
1247	constraints = simfitstate_0.xpath('ns:constraints',
1248	namespaces={'ns': CANSAS_NS})
1249	constraint_list = constraints[0].xpath('ns:constraint',
1250	namespaces={'ns': CANSAS_NS})
1251	for constraint in constraint_list:
1252	attrs = constraint.attrib
1253	sim_fit_state.constraints_list.append(attrs)
1254
1255	return sim_fit_state
1256	else:
1257	return None
1258
1259	def _parse_save_state_entry(self, dom):
1260	"""
1261	Parse a SASentry
1262
1263	:param node: SASentry node
1264
1265	:return: Data1D/Data2D object
1266
1267	"""
1268	node = dom.xpath('ns:data_class', namespaces={'ns': CANSAS_NS})
1269	return_value, _ = self._parse_entry(dom)
1270	return return_value, _
1271
1272	def _read_cansas(self, path):
1273	"""
1274	Load data and fitting information from a CanSAS XML file.
1275
1276	:param path: file path
1277	:return: Data1D object if a single SASentry was found,
1278	or a list of Data1D objects if multiple entries were found,
1279	or None of nothing was found
1280	:raise RuntimeError: when the file can't be opened
1281	:raise ValueError: when the length of the data vectors are inconsistent
1282	"""
1283	output = []
1284	simfitstate = None
1285	basename = os.path.basename(path)
1286	root, extension = os.path.splitext(basename)
1287	ext = extension.lower()
1288	try:
1289	if os.path.isfile(path):
1290	if ext in self.ext or ext == '.xml':
1291	tree = etree.parse(path, parser=etree.ETCompatXMLParser())
1292	# Check the format version number
1293	# Specifying the namespace will take care of the file
1294	# format version
1295	root = tree.getroot()
1296	entry_list = root.xpath('ns:SASentry',
1297	namespaces={'ns': CANSAS_NS})
1298	for entry in entry_list:
1299	try:
1300	sas_entry, _ = self._parse_save_state_entry(entry)
1301	except:
1302	raise
1303	fitstate = self._parse_state(entry)
1304
1305	# state could be None when .svs file is loaded
1306	# in this case, skip appending to output
1307	if fitstate is not None:
1308	sas_entry.meta_data['fitstate'] = fitstate
1309	sas_entry.filename = fitstate.file
1310	output.append(sas_entry)
1311
1312	else:
1313	self.call_back(format=ext)
1314	raise RuntimeError, "%s is not a file" % path
1315
1316	# Return output consistent with the loader's api
1317	if len(output) == 0:
1318	self.call_back(state=None, datainfo=None, format=ext)
1319	return None
1320	else:
1321	for ind in range(len(output)):
1322	# Call back to post the new state
1323	state = output[ind].meta_data['fitstate']
1324	t = time.localtime(state.timestamp)
1325	time_str = time.strftime("%b %d %H:%M", t)
1326	# Check that no time stamp is already appended
1327	max_char = state.file.find("[")
1328	if max_char < 0:
1329	max_char = len(state.file)
1330	original_fname = state.file[0:max_char]
1331	state.file = original_fname + ' [' + time_str + ']'
1332
1333	if state is not None and state.is_data is not None:
1334	output[ind].is_data = state.is_data
1335
1336	output[ind].filename = state.file
1337	state.data = output[ind]
1338	state.data.name = output[ind].filename # state.data_name
1339	state.data.id = state.data_id
1340	if state.is_data is not None:
1341	state.data.is_data = state.is_data
1342	if output[ind].run_name is not None\
1343	and len(output[ind].run_name) != 0:
1344	if isinstance(output[ind].run_name, dict):
1345	name = output[ind].run_name.keys()[0]
1346	else:
1347	name = output[ind].run_name
1348	else:
1349	name = original_fname
1350	state.data.group_id = name
1351	state.version = fitstate.version
1352	# store state in fitting
1353	self.call_back(state=state,
1354	datainfo=output[ind], format=ext)
1355	self.state = state
1356	simfitstate = self._parse_simfit_state(entry)
1357	if simfitstate is not None:
1358	self.call_back(state=simfitstate)
1359
1360	return output
1361	except:
1362	self.call_back(format=ext)
1363	raise
1364
1365	def write(self, filename, datainfo=None, fitstate=None):
1366	"""
1367	Write the content of a Data1D as a CanSAS XML file only for standalone
1368
1369	:param filename: name of the file to write
1370	:param datainfo: Data1D object
1371	:param fitstate: PageState object
1372
1373	"""
1374	# Sanity check
1375	if self.cansas:
1376	# Add fitting information to the XML document
1377	doc = self.write_toXML(datainfo, fitstate)
1378	# Write the XML document
1379	else:
1380	doc = fitstate.to_xml(file=filename)
1381
1382	# Save the document no matter the type
1383	fd = open(filename, 'w')
1384	fd.write(doc.toprettyxml())
1385	fd.close()
1386
1387	def write_toXML(self, datainfo=None, state=None, batchfit=None):
1388	"""
1389	Write toXML, a helper for write(),
1390	could be used by guimanager._on_save()
1391
1392	: return: xml doc
1393	"""
1394
1395	self.batchfit_params = batchfit
1396	if state.data is None or not state.data.is_data:
1397	return None
1398	# make sure title and data run are filled.
1399	if state.data.title is None or state.data.title == '':
1400	state.data.title = state.data.name
1401	if state.data.run_name is None or state.data.run_name == {}:
1402	state.data.run = [str(state.data.name)]
1403	state.data.run_name[0] = state.data.name
1404
1405	data = state.data
1406	doc, sasentry = self._to_xml_doc(data)
1407
1408	if state is not None:
1409	doc = state.to_xml(doc=doc, file=data.filename, entry_node=sasentry,
1410	batch_fit_state=self.batchfit_params)
1411
1412	return doc
1413
1414	# Simple html report templet
1415	HEADER = "<html>\n"
1416	HEADER += "<head>\n"
1417	HEADER += "<meta http-equiv=Content-Type content='text/html; "
1418	HEADER += "charset=windows-1252'> \n"
1419	HEADER += "<meta name=Generator >\n"
1420	HEADER += "</head>\n"
1421	HEADER += "<body lang=EN-US>\n"
1422	HEADER += "<div class=WordSection1>\n"
1423	HEADER += "<p class=MsoNormal><b><span ><center><font size='4' >"
1424	HEADER += "%s</font></center></span></center></b></p>"
1425	HEADER += "<p class=MsoNormal> </p>"
1426	PARA = "<p class=MsoNormal><font size='4' > %s \n"
1427	PARA += "</font></p>"
1428	CENTRE = "<p class=MsoNormal><center><font size='4' > %s \n"
1429	CENTRE += "</font></center></p>"
1430	FEET_1 = \
1431	"""
1432	<p class=MsoNormal> </p>
1433	<br>
1434	<p class=MsoNormal><b><span ><center> <font size='4' > Graph
1435	</font></span></center></b></p>
1436	<p class=MsoNormal> </p>
1437	<center>
1438	<br><font size='4' >Model Computation</font>
1439	<br><font size='4' >Data: "%s"</font><br>
1440	"""
1441	FEET_2 = \
1442	"""
1443	<img src="%s" >
1444	</img>
1445	"""
1446	FEET_3 = \
1447	"""
1448	</center>
1449	</div>
1450	</body>
1451	</html>
1452	"""
1453	ELINE = "<p class=MsoNormal> </p>"

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/pagestate.py @ 67d8b1b

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