fitting.py @ 813334e

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 813334e was 813334e, checked in by Gervaise Alina <gervyh@…>, 15 years ago
fix q range for fitpage
Property mode set to `100644`
File size: 45.2 KB

Line
1	import re,copy
2	import sys, wx, logging
3	import string, numpy, math
4
5	from danse.common.plottools.plottables import Data2D,Theory1D
6	from sans.guiframe import dataFitting
7	from danse.common.plottools.PlotPanel import PlotPanel
8	from sans.guicomm.events import NewPlotEvent, StatusEvent
9	from sans.guicomm.events import EVT_SLICER_PANEL,ERR_DATA
10	from sans.guiframe import dataFitting
11	from sans.fit.AbstractFitEngine import Model
12
13	from fitproblem import FitProblem
14	from fitpanel import FitPanel
15	from fit_thread import FitThread
16	import models
17	import fitpage
18
19
20	DEFAULT_BEAM = 0.005
21	DEFAULT_QMIN = 0.0
22	DEFAULT_QMAX = 0.1
23	DEFAULT_NPTS = 50
24	import time
25	import thread
26
27
28	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
29	class PlotInfo:
30	"""
31	store some plotting field
32	"""
33	_xunit = 'A^{-1}'
34	_xaxis= "\\rm{Q}"
35	_yunit = "cm^{-1}"
36	_yaxis= "\\rm{Intensity} "
37	id = "Model"
38	group_id = "Model"
39	title= None
40	info= None
41
42
43	class Plugin:
44	"""
45	Fitting plugin is used to perform fit
46	"""
47	def __init__(self):
48	## Plug-in name
49	self.sub_menu = "Fitting"
50
51	## Reference to the parent window
52	self.parent = None
53	#Provide list of models existing in the application
54	self.menu_mng = models.ModelManager()
55	## List of panels for the simulation perspective (names)
56	self.perspective = []
57	#list of panel to send to guiframe
58	self.mypanels=[]
59	# reference to the current running thread
60	self.calc_2D= None
61	self.calc_1D= None
62	self.calc_fit= None
63
64	# Start with a good default
65	self.elapsed = 0.022
66	# the type of optimizer selected, park or scipy
67	self.fitter = None
68	#Flag to let the plug-in know that it is running stand alone
69	self.standalone=True
70	## dictionary of page closed and id
71	self.closed_page_dict ={}
72	## Fit engine
73	self._fit_engine = 'scipy'
74	#List of selected data
75	self.selected_data_list=[]
76	# Log startup
77	logging.info("Fitting plug-in started")
78	# model 2D view
79	self.model2D_id=None
80	#keep reference of the simultaneous fit page
81	self.sim_page=None
82	#dictionary containing data name and error on dy of that data
83	self.err_dy={}
84
85
86
87	def populate_menu(self, id, owner):
88	"""
89	Create a menu for the Fitting plug-in
90	@param id: id to create a menu
91	@param owner: owner of menu
92	@ return : list of information to populate the main menu
93	"""
94	#Menu for fitting
95	self.menu1 = wx.Menu()
96
97	#Set park engine
98	id3 = wx.NewId()
99	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
100	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
101	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
102
103	id3 = wx.NewId()
104	park_help = "Park Engine: Perform Complex fit. More in Help window...."
105	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
106	wx.EVT_MENU(owner, id3, self._onset_engine_park)
107
108	self.menu1.FindItemByPosition(0).Check(True)
109	self.menu1.FindItemByPosition(1).Check(False)
110
111	self.menu1.AppendSeparator()
112
113	id1 = wx.NewId()
114	simul_help = "Allow to edit fit engine with multiple model and data"
115	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
116	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
117
118	#menu for model
119	menu2 = wx.Menu()
120
121	self.menu_mng.populate_menu(menu2, owner)
122	id2 = wx.NewId()
123	owner.Bind(models.EVT_MODEL,self._on_model_menu)
124
125	self.fit_panel.set_owner(owner)
126	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
127	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
128
129	#create menubar items
130	return [(id, self.menu1, "Fitting"),
131	(id2, menu2, "Model")]
132
133
134	def on_add_sim_page(self, event):
135	"""
136	Create a page to access simultaneous fit option
137	"""
138	if self.sim_page !=None:
139	msg= "Simultaneous Fit page already opened"
140	wx.PostEvent(self.parent, StatusEvent(status= msg))
141	return
142
143	self.sim_page= self.fit_panel.add_sim_page()
144
145
146
147	def help(self, evt):
148	"""
149	Show a general help dialog.
150	TODO: replace the text with a nice image
151	"""
152	from helpPanel import HelpWindow
153	frame = HelpWindow(None, -1, 'HelpWindow')
154	frame.Show(True)
155
156
157	def get_context_menu(self, graph=None):
158	"""
159	Get the context menu items available for P(r)
160	@param graph: the Graph object to which we attach the context menu
161	@return: a list of menu items with call-back function
162	"""
163	#TODO: clean this up so that the string are not copied
164	# multiple times.
165	self.graph=graph
166	for item in graph.plottables:
167	if item.__class__.__name__ is "Data2D":
168	if hasattr(item,"is_data"):
169	if item.is_data:
170	return [["Select data for fitting", \
171	"Dialog with fitting parameters ", self._onSelect]]
172	else:
173	return []
174	return [["Select data for fitting",\
175	"Dialog with fitting parameters ", self._onSelect]]
176	else:
177	if item.name==graph.selected_plottable :
178	if hasattr(item, "group_id"):
179	if hasattr(item,"is_data"):
180	if item.is_data:
181	return [["Select data for fitting", \
182	"Dialog with fitting parameters ", self._onSelect]]
183	else:
184	return []
185	else:
186	return [["Select data for fitting", \
187	"Dialog with fitting parameters ", self._onSelect]]
188	return []
189
190
191	def get_panels(self, parent):
192	"""
193	Create and return a list of panel objects
194	"""
195	self.parent = parent
196	# Creation of the fit panel
197	self.fit_panel = FitPanel(self.parent, -1)
198	#Set the manager for the main panel
199	self.fit_panel.set_manager(self)
200	# List of windows used for the perspective
201	self.perspective = []
202	self.perspective.append(self.fit_panel.window_name)
203	# take care of saving data, model and page associated with each other
204	self.page_finder = {}
205	#index number to create random model name
206	self.index_model = 0
207	self.index_theory= 0
208	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
209	self.parent.Bind( ERR_DATA, self._on_data_error)
210
211	#Send the fitting panel to guiframe
212	self.mypanels.append(self.fit_panel)
213	return self.mypanels
214
215
216
217	def get_perspective(self):
218	"""
219	Get the list of panel names for this perspective
220	"""
221	return self.perspective
222
223
224	def on_perspective(self, event):
225	"""
226	Call back function for the perspective menu item.
227	We notify the parent window that the perspective
228	has changed.
229	"""
230	self.parent.set_perspective(self.perspective)
231
232
233	def post_init(self):
234	"""
235	Post initialization call back to close the loose ends
236	[Somehow openGL needs this call]
237	"""
238	self.parent.set_perspective(self.perspective)
239
240
241	def copy_data(self, item, dy=None):
242	"""
243	receive a data 1D and the list of errors on dy
244	and create a new data1D data
245	@param return
246	"""
247	detector=None
248	source=None
249	info = None
250	id=None
251	dxl=None
252	dxw=None
253	dx=None
254	if hasattr(item, "dxl"):
255	dxl = copy.deepcopy(item.dxl)
256	if hasattr(item, "dxw"):
257	dxw = copy.deepcopy(item.dxw)
258	if hasattr(item, "detector"):
259	detector = copy.deepcopy(item.detector)
260	if hasattr(item, "source"):
261	source = copy.deepcopy(item.source)
262	if hasattr(item ,"info"):
263	info= copy.deepcopy(item.info)
264	if hasattr(item,"id"):
265	id = copy.deepcopy(item.id)
266	if hasattr(item, "dx"):
267	dx= item.dx
268
269
270	data= dataFitting.Data1D(x=item.x, y=item.y,dx=dx, dy=dy, dxl=dxl, dxw=dxw)
271
272	data.name = item.name
273	data.detector = detector
274	data.source = source
275	## allow to highlight data when plotted
276	data.interactive = copy.deepcopy(item.interactive)
277	## when 2 data have the same id override the 1 st plotted
278	data.id = id
279	## info is a reference to output of dataloader that can be used
280	## to save data 1D as cansas xml file
281	data.info= info
282	## If the data file does not tell us what the axes are, just assume...
283	data.xaxis(copy.deepcopy(item._xaxis),copy.deepcopy(item._xunit))
284	data.yaxis(copy.deepcopy(item._yaxis),copy.deepcopy(item._yunit))
285	##group_id specify on which panel to plot this data
286	data.group_id = copy.deepcopy(item.group_id)
287	return data
288
289	def set_fit_range(self, page, qmin, qmax):
290	"""
291	Set the fitting range of a given page
292	"""
293	if page in self.page_finder.iterkeys():
294	fitproblem= self.page_finder[page]
295	fitproblem.set_range(qmin= qmin, qmax= qmax)
296
297	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
298	"""
299	Set the fit problem field to 0 or 1 to schedule that problem to fit.
300	Schedule the specified fitproblem or get the fit problem related to
301	the current page and set value.
302	@param value : integer 0 or 1
303	@param fitproblem: fitproblem to schedule or not to fit
304	"""
305	if fitproblem !=None:
306	fitproblem.schedule_tofit(value)
307	else:
308	if page in self.page_finder.iterkeys():
309	fitproblem= self.page_finder[page]
310	fitproblem.schedule_tofit(value)
311
312
313
314	def get_page_finder(self):
315	""" @return self.page_finder used also by simfitpage.py"""
316	return self.page_finder
317
318
319	def set_page_finder(self,modelname,names,values):
320	"""
321	Used by simfitpage.py to reset a parameter given the string constrainst.
322	@param modelname: the name ot the model for with the parameter has to reset
323	@param value: can be a string in this case.
324	@param names: the paramter name
325	@note: expecting park used for fit.
326	"""
327	sim_page= self.sim_page
328	for page, value in self.page_finder.iteritems():
329	if page != sim_page:
330	list=value.get_model()
331	model = list[0]
332	if model.name== modelname:
333	value.set_model_param(names,values)
334	break
335
336
337
338	def split_string(self,item):
339	"""
340	receive a word containing dot and split it. used to split parameterset
341	name into model name and parameter name example:
342	paramaterset (item) = M1.A
343	@return model_name =M1 , parameter name =A
344	"""
345	if string.find(item,".")!=-1:
346	param_names= re.split("\.",item)
347	model_name=param_names[0]
348	param_name=param_names[1]
349	return model_name,param_name
350
351
352	def stop_fit(self):
353	"""
354	Stop the fit engine
355	"""
356	if self.calc_fit!= None and self.calc_thread.isrunning():
357	self.calc_thread.stop()
358	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
359	is cancelled" , type="stop"))
360
361
362
363	def set_smearer(self,smearer, qmin=None, qmax=None):
364	"""
365	Get a smear object and store it to a fit problem
366	@param smearer: smear object to allow smearing data
367	"""
368	current_pg=self.fit_panel.get_current_page()
369	self.page_finder[current_pg].set_smearer(smearer)
370	## draw model 1D with smeared data
371	data = self.page_finder[current_pg].get_plotted_data()
372	model = self.page_finder[current_pg].get_model()
373	## if user has already selected a model to plot
374	## redraw the model with data smeared
375
376	smear =self.page_finder[current_pg].get_smearer()
377	self.draw_model( model=model, data= data, smearer= smear,
378	qmin= qmin, qmax= qmax)
379
380
381
382	def draw_model(self, model, data= None,smearer= None,
383	enable1D= True, enable2D= False,
384	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
385	"""
386	Draw model.
387	@param model: the model to draw
388	@param name: the name of the model to draw
389	@param data: the data on which the model is based to be drawn
390	@param description: model's description
391	@param enable1D: if true enable drawing model 1D
392	@param enable2D: if true enable drawing model 2D
393	@param qmin: Range's minimum value to draw model
394	@param qmax: Range's maximum value to draw model
395	@param qstep: number of step to divide the x and y-axis
396
397	"""
398	## draw model 1D with no loaded data
399	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
400	qmin= qmin, qmax= qmax, qstep= qstep )
401	## draw model 2D with no initial data
402	self._draw_model2D(model=model,
403	data = data,
404	enable2D= enable2D,
405	qmin=qmin,
406	qmax=qmax,
407	qstep=qstep)
408
409
410
411	def onFit(self):
412	"""
413	perform fit
414	"""
415	## count the number of fitproblem schedule to fit
416	fitproblem_count= 0
417	for value in self.page_finder.itervalues():
418	if value.get_scheduled()==1:
419	fitproblem_count += 1
420
421	## if simultaneous fit change automatically the engine to park
422	if fitproblem_count >1:
423	self._on_change_engine(engine='park')
424
425	from sans.fit.Fitting import Fit
426	self.fitter= Fit(self._fit_engine)
427
428	if self._fit_engine=="park":
429	engineType="Simultaneous Fit"
430	else:
431	engineType="Single Fit"
432
433	fproblemId = 0
434	current_pg=None
435	for page, value in self.page_finder.iteritems():
436	try:
437	if value.get_scheduled()==1:
438	#Get list of parameters name to fit
439	pars = []
440	templist = []
441	templist = page.get_param_list()
442	for element in templist:
443	name = str(element[1])
444	pars.append(name)
445	#Set Engine (model , data) related to the page on
446	self._fit_helper( current_pg=page, value=value,pars=pars,
447	id=fproblemId, title= engineType )
448	fproblemId += 1
449	current_pg= page
450	except:
451	msg= "%s error: %s" % (engineType,sys.exc_value)
452	wx.PostEvent(self.parent, StatusEvent(status= msg ))
453	return
454	#Do the simultaneous fit
455	try:
456	## If a thread is already started, stop it
457	if self.calc_fit!= None and self.calc_fit.isrunning():
458	self.calc_fit.stop()
459
460	wx.PostEvent(self.parent, StatusEvent(status="Start the computation",
461	curr_thread=self.calc_fit,type="start"))
462	wx.PostEvent(self.parent, StatusEvent(status="Computing...",
463	curr_thread=self.calc_fit,type="progress"))
464	## perform single fit
465	if self._fit_engine=="scipy":
466	qmin, qmax= current_pg.get_range()
467	self.calc_fit=FitThread(parent =self.parent,
468	fn= self.fitter,
469	cpage=current_pg,
470	pars= pars,
471	completefn= self._single_fit_completed,
472	updatefn=self._updateFit)
473
474	else:
475	## Perform more than 1 fit at the time
476	self.calc_fit=FitThread(parent =self.parent,
477	fn= self.fitter,
478	completefn= self._simul_fit_completed,
479	updatefn=self._updateFit)
480	self.calc_fit.queue()
481	self.calc_fit.ready(2.5)
482
483	except:
484	msg= "%s error: %s" % (engineType,sys.exc_value)
485	wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
486	return
487
488
489	def _add_page_onmenu(self, name,fitproblem=None):
490	"""
491	Add name of a closed page of fitpanel in a menu
492	"""
493	list = self.menu1.GetMenuItems()
494	for item in list:
495	if name == item.GetItemLabel():
496	self.closed_page_dict[name][1] = fitproblem
497
498	if not name in self.closed_page_dict.keys():
499	# Post paramters
500	event_id = wx.NewId()
501	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
502	self.closed_page_dict[name]= [event_id, fitproblem]
503	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
504
505
506	def _open_closed_page(self, event):
507	"""
508	reopen a closed page
509	"""
510	for name, value in self.closed_page_dict.iteritems():
511	if event.GetId() in value:
512	id,fitproblem = value
513	if name !="Model":
514	data= fitproblem.get_fit_data()
515	page = self.fit_panel.add_fit_page(data= data,reset=True)
516	if fitproblem != None:
517	self.page_finder[page]=fitproblem
518	if self.sim_page != None:
519	self.sim_page.draw_page()
520
521	else:
522	model = fitproblem
523	self.fit_panel.add_model_page(model=model, topmenu=True,
524	reset= True)
525	break
526
527
528	def _reset_schedule_problem(self, value=0):
529	"""
530	unschedule or schedule all fitproblem to be fit
531	"""
532	for page, fitproblem in self.page_finder.iteritems():
533	fitproblem.schedule_tofit(value)
534
535	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
536	"""
537	helper for fitting
538	"""
539	metadata = value.get_fit_data()
540	model = value.get_model()
541	smearer = value.get_smearer()
542	qmin , qmax = value.get_range()
543	self.fit_id =id
544	#Create list of parameters for fitting used
545	templist=[]
546	pars=pars
547	try:
548	## create a park model and reset parameter value if constraint
549	## is given
550	new_model = Model(model)
551	param = value.get_model_param()
552	if len(param)>0:
553	for item in param:
554	param_value = item[1]
555	param_name = item[0]
556	## check if constraint
557	if param_value !=None and param_name != None:
558	new_model.parameterset[ param_name].set( param_value )
559
560	#Do the single fit
561	self.fitter.set_model(new_model, self.fit_id, pars)
562
563	self.fitter.set_data(data=metadata,Uid=self.fit_id,
564	smearer=smearer,qmin= qmin,qmax=qmax )
565
566	self.fitter.select_problem_for_fit(Uid= self.fit_id,
567	value= value.get_scheduled())
568	value.clear_model_param()
569	except:
570	msg= title +" error: %s" % sys.exc_value
571	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
572	return
573
574	def _onSelect(self,event):
575	"""
576	when Select data to fit a new page is created .Its reference is
577	added to self.page_finder
578	"""
579	self.panel = event.GetEventObject()
580	for plottable in self.panel.graph.plottables:
581
582	if plottable.name == self.panel.graph.selected_plottable:
583	#if not hasattr(plottable, "is_data"):
584
585	if plottable.__class__.__name__=="Theory1D":
586	dy=numpy.zeros(len(plottable.y))
587	if hasattr(plottable, "dy"):
588	dy= copy.deepcopy(plottable.dy)
589
590	item= self.copy_data(plottable, dy)
591	item.group_id += "data1D"
592	item.id +="data1D"
593	item.is_data= False
594	title = item.name
595	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
596	else:
597	item= self.copy_data(plottable, plottable.dy)
598	item.is_data=True
599
600	## put the errors values back to the model if the errors were hiden
601	## before sending them to the fit engine
602	if len(self.err_dy)>0:
603	if item.name in self.err_dy.iterkeys():
604	dy= self.err_dy[item.name]
605	data= self.copy_data(item, dy)
606	data.is_data= item.is_data
607	else:
608	data= self.copy_data(item)
609	data.is_data= item.is_data
610
611
612	else:
613	if item.dy==None:
614	dy= numpy.zeros(len(item.y))
615	data= self.copy_data(item, dy)
616	data.is_data=item.is_data
617	else:
618	data= self.copy_data(item)
619	data.is_data=item.is_data
620
621	else:
622	## Data2D case
623	if not hasattr(plottable, "is_data"):
624	item= copy.deepcopy(plottable)
625	item.group_id += "data2D"
626	item.id +="data2D"
627	item.is_data= False
628	title = item.name
629	title += " Fit"
630	data = item
631	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
632	else:
633	item= copy.deepcopy(plottable )
634	data= copy.deepcopy(plottable )
635	item.is_data=True
636	data.is_data=True
637
638	## create anew page
639	if item.name == self.panel.graph.selected_plottable or\
640	item.__class__.__name__ is "Data2D":
641	try:
642	page = self.fit_panel.add_fit_page(data)
643	# add data associated to the page created
644	if page !=None:
645	#create a fitproblem storing all link to data,model,page creation
646	if not page in self.page_finder.keys():
647	self.page_finder[page]= FitProblem()
648	## item is almost the same as data but contains
649	## axis info for plotting
650	self.page_finder[page].add_plotted_data(item)
651	self.page_finder[page].add_fit_data(data)
652
653	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
654	else:
655	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
656	except:
657	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
658	%sys.exc_value))
659	return
660
661
662	def _updateFit(self):
663	"""
664	Is called when values of result are available
665	"""
666	##Sending a progess message to the status bar
667	wx.PostEvent(self.parent, StatusEvent(status="Computing..."))
668
669	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
670	"""
671	Display fit result on one page of the notebook.
672	@param result: result of fit
673	@param pars: list of names of parameters fitted
674	@param current_pg: the page where information will be displayed
675	@param qmin: the minimum value of x to replot the model
676	@param qmax: the maximum value of x to replot model
677
678	"""
679	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
680	complete! " ))
681
682	try:
683	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
684	msg= "Fitting did not converge!!!"
685	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
686	return
687	for page, value in self.page_finder.iteritems():
688	if page==cpage :
689	model= value.get_model()
690	break
691	i = 0
692	for name in pars:
693	if result.pvec.__class__==numpy.float64:
694	model.setParam(name,result.pvec)
695	else:
696	model.setParam(name,result.pvec[i])
697	i += 1
698	## Reset values of the current page to fit result
699	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
700	## plot the current model with new param
701	metadata = self.page_finder[cpage].get_fit_data()
702	model = self.page_finder[cpage].get_model()
703	qmin, qmax= self.page_finder[cpage].get_range()
704	smearer =self.page_finder[cpage].get_smearer()
705	#Replot models
706	msg= "Single Fit completed. plotting... %s:"%model.name
707	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
708	self.draw_model( model=model, data= metadata, smearer= smearer,
709	qmin= qmin, qmax= qmax)
710	wx.PostEvent(self.parent, StatusEvent(status=" " , type="stop"))
711	except:
712	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
713	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
714	return
715
716
717	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
718	"""
719	Parameter estimation completed,
720	display the results to the user
721	@param alpha: estimated best alpha
722	@param elapsed: computation time
723	"""
724	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
725	complete "))
726
727	## fit more than 1 model at the same time
728	try:
729	for page, value in self.page_finder.iteritems():
730	if value.get_scheduled()==1:
731	model = value.get_model()
732	metadata = value.get_plotted_data()
733	small_out = []
734	small_cov = []
735	i = 0
736	#Separate result in to data corresponding to each page
737	for p in result.parameters:
738	model_name,param_name = self.split_string(p.name)
739	if model.name == model_name:
740	p_name= model.name+"."+param_name
741	if p.name == p_name:
742	small_out.append(p.value )
743	model.setParam(param_name,p.value)
744
745	small_cov.append(p.stderr)
746	else:
747	value= model.getParam(param_name)
748	small_out.append(value )
749	small_cov.append(None)
750	# Display result on each page
751	page.onsetValues(result.fitness, small_out,small_cov)
752	#Replot models
753	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
754	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
755	qmin, qmax= page.get_range()
756	smearer =self.page_finder[page].get_smearer()
757	self.draw_model( model=model, data= metadata, smearer=smearer,
758	qmin= qmin, qmax= qmax)
759	wx.PostEvent(self.parent, StatusEvent(status="", type="stop"))
760	except:
761	msg= "Simultaneous Fit completed"
762	msg +=" but Following error occurred:%s"%sys.exc_value
763	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
764	return
765
766
767
768	def _on_show_panel(self, event):
769	print "_on_show_panel: fitting"
770
771
772	def _onset_engine_park(self,event):
773	"""
774	set engine to park
775	"""
776	self._on_change_engine('park')
777
778
779	def _onset_engine_scipy(self,event):
780	"""
781	set engine to scipy
782	"""
783	self._on_change_engine('scipy')
784
785	def _on_slicer_event(self, event):
786	"""
787	Receive a panel as event and send it to guiframe
788	@param event: event containing a panel
789	"""
790	if event.panel!=None:
791	new_panel = event.panel
792	# Set group ID if available
793	event_id = self.parent.popup_panel(new_panel)
794	#self.menu3.Append(event_id, new_panel.window_caption,
795	# "Show %s plot panel" % new_panel.window_caption)
796	# Set UID to allow us to reference the panel later
797	new_panel.uid = event_id
798	self.mypanels.append(new_panel)
799	return
800
801
802	def _return_engine_type(self):
803	"""
804	return the current type of engine
805	"""
806	return self._fit_engine
807
808
809	def _on_change_engine(self, engine='park'):
810	"""
811	Allow to select the type of engine to perform fit
812	@param engine: the key work of the engine
813	"""
814	## saving fit engine name
815	self._fit_engine = engine
816	## change menu item state
817	if engine=="park":
818	self.menu1.FindItemByPosition(0).Check(False)
819	self.menu1.FindItemByPosition(1).Check(True)
820	else:
821	self.menu1.FindItemByPosition(0).Check(True)
822	self.menu1.FindItemByPosition(1).Check(False)
823
824	## post a message to status bar
825	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
826
827	## Bind every open fit page with a newevent to know the current fitting engine
828	import fitpage
829	event= fitpage.FitterTypeEvent()
830	event.type = self._fit_engine
831	for key in self.page_finder.keys():
832	wx.PostEvent(key, event)
833
834
835	def _on_model_panel(self, evt):
836	"""
837	react to model selection on any combo box or model menu.plot the model
838	@param evt: wx.combobox event
839	"""
840	model = evt.model
841
842	if model ==None:
843	return
844
845	current_pg = self.fit_panel.get_current_page()
846	## make sure nothing is done on self.sim_page
847	## example trying to call set_panel on self.sim_page
848	if current_pg != self.sim_page :
849
850	if self.page_finder[current_pg].get_model()== None :
851
852	model.name="M"+str(self.index_model)
853	self.index_model += 1
854	else:
855	model.name= self.page_finder[current_pg].get_model().name
856
857	metadata = self.page_finder[current_pg].get_plotted_data()
858
859	# save the name containing the data name with the appropriate model
860	self.page_finder[current_pg].set_model(model)
861	qmin, qmax= current_pg.get_range()
862	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
863	smearer= self.page_finder[current_pg].get_smearer()
864	# save model name
865	self.draw_model( model=model,smearer=smearer,
866	data= metadata, qmin=qmin, qmax=qmax)
867
868	if self.sim_page!=None:
869	self.sim_page.draw_page()
870
871
872
873	def _on_model_menu(self, evt):
874	"""
875	Plot a theory from a model selected from the menu
876	@param evt: wx.menu event
877	"""
878	model = evt.model
879
880	# Create a model page. If a new page is created, the model
881	# will be plotted automatically. If a page already exists,
882	# the content will be updated and the plot refreshed
883	self.fit_panel.add_model_page(model,topmenu=True)
884
885
886
887
888	def _update1D(self,x, output):
889	"""
890	Update the output of plotting model 1D
891	"""
892	wx.PostEvent(self.parent, StatusEvent(status="Plot \
893	#updating ... ",type="update"))
894	self.calc_thread.ready(0.01)
895
896	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
897	"""
898	fill Data2D with default value
899	@param theory: Data2D to fill
900	"""
901	from DataLoader.data_info import Detector, Source
902
903	detector = Detector()
904	theory.detector.append(detector)
905
906	theory.detector[0].distance=1e+32
907	theory.source= Source()
908	theory.source.wavelength=2*math.pi/1e+32
909
910	## Create detector for Model 2D
911	xmax=2theory.detector[0].distancemath.atan(\
912	qmax/(4*math.pi/theory.source.wavelength))
913
914	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
915	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
916	theory.detector[0].beam_center.x= qmax
917	theory.detector[0].beam_center.y= qmax
918	## create x_bins and y_bins of the model 2D
919	distance = theory.detector[0].distance
920	pixel = qstep/2-1
921	theta = pixel / distance / qstep#100.0
922	wavelength = theory.source.wavelength
923	pixel_width_x = theory.detector[0].pixel_size.x
924	pixel_width_y = theory.detector[0].pixel_size.y
925	center_x = theory.detector[0].beam_center.x/pixel_width_x
926	center_y = theory.detector[0].beam_center.y/pixel_width_y
927
928
929	size_x, size_y= numpy.shape(theory.data)
930	for i_x in range(size_x):
931	theta = (i_x-center_x)*pixel_width_x / distance
932	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
933	theory.x_bins.append(qx)
934	for i_y in range(size_y):
935	theta = (i_y-center_y)*pixel_width_y / distance
936	qy =4.0math.pi/wavelength math.tan(theta/2.0)
937	theory.y_bins.append(qy)
938
939	theory.group_id ="Model"
940	theory.id ="Model"
941	## determine plot boundaries
942	theory.xmin= -qmax
943	theory.xmax= qmax
944	theory.ymin= -qmax
945	theory.ymax= qmax
946
947
948	def _get_plotting_info(self, data=None):
949	"""
950	get plotting info from data if data !=None
951	else use some default
952	"""
953	my_info = PlotInfo()
954	if data !=None:
955	if hasattr(data,"info"):
956	x_name, x_units = data.get_xaxis()
957	y_name, y_units = data.get_yaxis()
958
959	my_info._xunit = x_units
960	my_info._xaxis = x_name
961	my_info._yunit = y_units
962	my_info._yaxis = y_name
963
964	my_info.title= data.name
965	if hasattr(data, "info"):
966	my_info.info= data.info
967	if hasattr(data, "group_id"):
968	my_info.group_id= data.group_id
969
970	return my_info
971
972	def _complete1D(self, x,y, elapsed,model,data=None):
973	"""
974	Complete plotting 1D data
975	"""
976
977	try:
978
979	new_plot = Theory1D(x=x, y=y)
980	my_info = self._get_plotting_info( data)
981	new_plot.name = model.name
982	new_plot.id = my_info.id
983	new_plot.group_id = my_info.group_id
984
985	new_plot.xaxis( my_info._xaxis, my_info._xunit)
986	new_plot.yaxis( my_info._yaxis, my_info._yunit)
987	if data!=None:
988	if new_plot.id == data.id:
989	new_plot.id += "Model"
990	new_plot.is_data =False
991
992	from DataLoader import data_info
993	info= data_info.Data1D(x= new_plot.x, y=new_plot.y)
994	info.title= new_plot.name
995	title= my_info.title
996	info.xaxis(new_plot._xaxis, new_plot._xunit)
997	info.yaxis( new_plot._yaxis, new_plot._yunit)
998	new_plot.info = info
999	# Pass the reset flag to let the plotting event handler
1000	# know that we are replacing the whole plot
1001	if title== None:
1002	title = "Analytical model 1D "
1003	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1004	title= str(title), reset=True ))
1005	else:
1006	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1007	title= str(title)))
1008	msg = "Plot 1D complete !"
1009	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1010	except:
1011	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
1012	msg+= " %s"%sys.exc_value
1013	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
1014	return
1015
1016
1017
1018
1019	def _update2D(self, output,time=None):
1020	"""
1021	Update the output of plotting model
1022	"""
1023	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1024	#updating ... ",type="update"))
1025	self.calc_thread.ready(0.01)
1026
1027
1028	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
1029	"""
1030	Complete get the result of modelthread and create model 2D
1031	that can be plot.
1032	"""
1033
1034
1035	err_image = numpy.zeros(numpy.shape(image))
1036
1037	theory= Data2D(image= image , err_image= err_image)
1038	theory.name= model.name
1039
1040	if data ==None:
1041	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
1042
1043	else:
1044	theory.id= data.id+"Model"
1045	theory.group_id= data.name+"Model"
1046	theory.x_bins= data.x_bins
1047	theory.y_bins= data.y_bins
1048	theory.detector= data.detector
1049	theory.source= data.source
1050	theory.is_data =False
1051	## plot boundaries
1052	theory.ymin= data.ymin
1053	theory.ymax= data.ymax
1054	theory.xmin= data.xmin
1055	theory.xmax= data.xmax
1056
1057
1058	## plot
1059	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1060	title="Analytical model 2D ", reset=True ))
1061	msg = "Plot 2D complete !"
1062	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1063
1064	def _on_data_error(self, event):
1065	"""
1066	receives and event from plotting plu-gins to store the data name and
1067	their errors of y coordinates for 1Data hide and show error
1068	"""
1069	self.err_dy= event.err_dy
1070
1071	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1072	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1073	"""
1074	draw model in 2D
1075	@param model: instance of the model to draw
1076	@param description: the description of the model
1077	@param enable2D: when True allows to draw model 2D
1078	@param qmin: the minimum value to draw model 2D
1079	@param qmax: the maximum value to draw model 2D
1080	@param qstep: the number of division of Qx and Qy of the model to draw
1081
1082	"""
1083
1084	x= numpy.linspace(start= -1*qmax,
1085	stop= qmax,
1086	num= qstep,
1087	endpoint=True )
1088	y = numpy.linspace(start= -1*qmax,
1089	stop= qmax,
1090	num= qstep,
1091	endpoint=True )
1092	## use data info instead
1093	if data !=None:
1094	## check if data2D to plot
1095	if hasattr(data, "x_bins"):
1096	enable2D = True
1097	x= data.x_bins
1098	y= data.y_bins
1099
1100	if not enable2D:
1101	return
1102	try:
1103	from model_thread import Calc2D
1104	## If a thread is already started, stop it
1105	if self.calc_2D != None and self.calc_2D.isrunning():
1106	self.calc_2D.stop()
1107	self.calc_2D = Calc2D( x= x,
1108	y= y,
1109	model= model,
1110	data = data,
1111	qmin= qmin,
1112	qmax= qmax,
1113	qstep= qstep,
1114	completefn= self._complete2D,
1115	updatefn= self._update2D )
1116	self.calc_2D.queue()
1117
1118	except:
1119	msg= " Error occurred when drawing %s Model 2D: "%model.name
1120	msg+= " %s"%sys.exc_value
1121	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1122	return
1123
1124	def _draw_model1D(self, model, data=None, smearer= None,
1125	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1126	"""
1127	Draw model 1D from loaded data1D
1128	@param data: loaded data
1129	@param model: the model to plot
1130	"""
1131
1132	x= numpy.linspace(start= qmin,
1133	stop= qmax,
1134	num= qstep,
1135	endpoint=True
1136	)
1137	if data!=None:
1138	## check for data2D
1139	if hasattr(data,"x_bins"):
1140	return
1141	x = data.x
1142	if qmin == DEFAULT_QMIN :
1143	qmin = min(data.x)
1144	if qmax == DEFAULT_QMAX:
1145	qmax = max(data.x)
1146
1147
1148	if not enable1D:
1149	return
1150
1151	try:
1152	from model_thread import Calc1D
1153	## If a thread is already started, stop it
1154	if self.calc_1D!= None and self.calc_1D.isrunning():
1155	self.calc_1D.stop()
1156	self.calc_1D= Calc1D( x= x,
1157	data = data,
1158	model= model,
1159	qmin = qmin,
1160	qmax = qmax,
1161	smearer = smearer,
1162	completefn = self._complete1D,
1163	updatefn = self._update1D )
1164	self.calc_1D.queue()
1165
1166	except:
1167	msg= " Error occurred when drawing %s Model 1D: "%model.name
1168	msg+= " %s"%sys.exc_value
1169	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1170	return
1171
1172
1173
1174
1175
1176	if __name__ == "__main__":
1177	i = Plugin()
1178
1179
1180
1181

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 813334e

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