fitting.py @ a81e613

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 a81e613 was a81e613, checked in by Gervaise Alina <gervyh@…>, 15 years ago
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1	import re
2	import sys, wx, logging
3	import string, numpy, math
4
5	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
6	from danse.common.plottools.PlotPanel import PlotPanel
7	from sans.guicomm.events import NewPlotEvent, StatusEvent
8	from sans.guicomm.events import EVT_SLICER_PANEL,ERR_DATA
9
10	from sans.fit.AbstractFitEngine import Model,FitData1D,FitData2D
11	from fitproblem import FitProblem
12	from fitpanel import FitPanel
13	from fit_thread import FitThread
14	import models
15	import fitpage
16
17	DEFAULT_BEAM = 0.005
18	DEFAULT_QMIN = 0.0
19	DEFAULT_QMAX = 0.1
20	DEFAULT_NPTS = 50
21	import time
22	import thread
23
24
25	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
26	class PlotInfo:
27	"""
28	store some plotting field
29	"""
30	_xunit = 'A^{-1}'
31	_xaxis= "\\rm{Q}"
32	_yunit = "cm^{-1}"
33	_yaxis= "\\rm{Intensity} "
34	id = "Model"
35	group_id = "Model"
36	title= None
37	info= None
38
39
40	class Plugin:
41	"""
42	Fitting plugin is used to perform fit
43	"""
44	def __init__(self):
45	## Plug-in name
46	self.sub_menu = "Fitting"
47
48	## Reference to the parent window
49	self.parent = None
50	#Provide list of models existing in the application
51	self.menu_mng = models.ModelManager()
52	## List of panels for the simulation perspective (names)
53	self.perspective = []
54	#list of panel to send to guiframe
55	self.mypanels=[]
56	# reference to the current running thread
57	self.calc_2D= None
58	self.calc_1D= None
59	self.calc_fit= None
60
61	# Start with a good default
62	self.elapsed = 0.022
63	# the type of optimizer selected, park or scipy
64	self.fitter = None
65	#Flag to let the plug-in know that it is running stand alone
66	self.standalone=True
67	## dictionary of page closed and id
68	self.closed_page_dict ={}
69	## Fit engine
70	self._fit_engine = 'scipy'
71	#List of selected data
72	self.selected_data_list=[]
73	# Log startup
74	logging.info("Fitting plug-in started")
75	# model 2D view
76	self.model2D_id=None
77	#keep reference of the simultaneous fit page
78	self.sim_page=None
79	#dictionary containing data name and error on dy of that data
80	self.err_dy={}
81
82
83
84	def populate_menu(self, id, owner):
85	"""
86	Create a menu for the Fitting plug-in
87	@param id: id to create a menu
88	@param owner: owner of menu
89	@ return : list of information to populate the main menu
90	"""
91	#Menu for fitting
92	self.menu1 = wx.Menu()
93
94	#Set park engine
95	id3 = wx.NewId()
96	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
97	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
98	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
99
100	id3 = wx.NewId()
101	park_help = "Park Engine: Perform Complex fit. More in Help window...."
102	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
103	wx.EVT_MENU(owner, id3, self._onset_engine_park)
104
105	self.menu1.FindItemByPosition(0).Check(True)
106	self.menu1.FindItemByPosition(1).Check(False)
107
108	self.menu1.AppendSeparator()
109
110	id1 = wx.NewId()
111	simul_help = "Allow to edit fit engine with multiple model and data"
112	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
113	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
114
115	#menu for model
116	menu2 = wx.Menu()
117
118	self.menu_mng.populate_menu(menu2, owner)
119	id2 = wx.NewId()
120	owner.Bind(models.EVT_MODEL,self._on_model_menu)
121
122	self.fit_panel.set_owner(owner)
123	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
124	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
125
126	self.menu3= wx.Menu()
127	id4 = wx.NewId()
128
129	#create menubar items
130	return [(id, self.menu1, "Fitting"),
131	(id4,self.menu3,"Averagers"),
132	(id2, menu2, "Model")]
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	self.graph=graph
164	for item in graph.plottables:
165	if item.__class__.__name__ is "Data2D":
166	return [["Select data for Fitting",\
167	"Dialog with fitting parameters ", self._onSelect]]
168	else:
169
170	if item.name==graph.selected_plottable :
171	if not hasattr(item, "group_id"):
172	return []
173	return [["Select data for Fitting", \
174	"Dialog with fitting parameters ", self._onSelect]]
175	return []
176
177
178	def get_panels(self, parent):
179	"""
180	Create and return a list of panel objects
181	"""
182	self.parent = parent
183	# Creation of the fit panel
184	self.fit_panel = FitPanel(self.parent, -1)
185	#Set the manager for the main panel
186	self.fit_panel.set_manager(self)
187	# List of windows used for the perspective
188	self.perspective = []
189	self.perspective.append(self.fit_panel.window_name)
190	# take care of saving data, model and page associated with each other
191	self.page_finder = {}
192	#index number to create random model name
193	self.index_model = 0
194	self.index_theory= 0
195	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
196	self.parent.Bind( ERR_DATA, self._on_data_error)
197
198	#Send the fitting panel to guiframe
199	self.mypanels.append(self.fit_panel)
200	return self.mypanels
201
202
203
204	def get_perspective(self):
205	"""
206	Get the list of panel names for this perspective
207	"""
208	return self.perspective
209
210
211	def on_perspective(self, event):
212	"""
213	Call back function for the perspective menu item.
214	We notify the parent window that the perspective
215	has changed.
216	"""
217	self.parent.set_perspective(self.perspective)
218
219
220	def post_init(self):
221	"""
222	Post initialization call back to close the loose ends
223	[Somehow openGL needs this call]
224	"""
225	self.parent.set_perspective(self.perspective)
226
227
228	def copy_data(self, item, dy):
229	"""
230	receive a data 1D and the list of errors on dy
231	and create a new data1D data
232	@param return
233	"""
234	detector=None
235	source=None
236	info = None
237	id=None
238	dxl=None
239	dxw=None
240	if hasattr(item, "dxl"):
241	dxl = item.dxl
242	if hasattr(item, "dxw"):
243	dxw = item.dxw
244	if hasattr(item, "detector"):
245	detector =item.detector
246	if hasattr(item, "source"):
247	source =item.source
248	if hasattr(item ,"info"):
249	info= item.info
250	if hasattr(item,"id"):
251	id = item.id
252	from sans.guiframe import dataFitting
253	if item.__class__.__name__=="Data1D":
254	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
255	else:
256	data= dataFitting.Theory1D(x=item.x, y=item.y, dxl=dxl, dxw=dxw)
257	data.name = item.name
258	data.detector = detector
259	data.source = source
260	## allow to highlight data when plotted
261	data.interactive = item.interactive
262	## when 2 data have the same id override the 1 st plotted
263	data.id = id
264	## info is a reference to output of dataloader that can be used
265	## to save data 1D as cansas xml file
266	data.info= info
267	## If the data file does not tell us what the axes are, just assume...
268	data.xaxis(item._xaxis,item._xunit)
269	data.yaxis(item._yaxis,item._yunit)
270	##group_id specify on which panel to plot this data
271	data.group_id = item.group_id
272	return data
273
274	def set_fit_range(self, page, qmin, qmax):
275	"""
276	Set the fitting range of a given page
277	"""
278	if page in self.page_finder.iterkeys():
279	fitproblem= self.page_finder[page]
280	fitproblem.set_range(qmin= qmin, qmax= qmax)
281
282	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
283	"""
284	Set the fit problem field to 0 or 1 to schedule that problem to fit.
285	Schedule the specified fitproblem or get the fit problem related to
286	the current page and set value.
287	@param value : integer 0 or 1
288	@param fitproblem: fitproblem to schedule or not to fit
289	"""
290	if fitproblem !=None:
291	fitproblem.schedule_tofit(value)
292	else:
293	if page in self.page_finder.iterkeys():
294	fitproblem= self.page_finder[page]
295	fitproblem.schedule_tofit(value)
296
297
298
299	def get_page_finder(self):
300	""" @return self.page_finder used also by simfitpage.py"""
301	return self.page_finder
302
303
304	def set_page_finder(self,modelname,names,values):
305	"""
306	Used by simfitpage.py to reset a parameter given the string constrainst.
307	@param modelname: the name ot the model for with the parameter has to reset
308	@param value: can be a string in this case.
309	@param names: the paramter name
310	@note: expecting park used for fit.
311	"""
312	sim_page= self.sim_page
313	for page, value in self.page_finder.iteritems():
314	if page != sim_page:
315	list=value.get_model()
316	model = list[0]
317	if model.name== modelname:
318	value.set_model_param(names,values)
319	break
320
321
322
323	def split_string(self,item):
324	"""
325	receive a word containing dot and split it. used to split parameterset
326	name into model name and parameter name example:
327	paramaterset (item) = M1.A
328	@return model_name =M1 , parameter name =A
329	"""
330	if string.find(item,".")!=-1:
331	param_names= re.split("\.",item)
332	model_name=param_names[0]
333	param_name=param_names[1]
334	return model_name,param_name
335
336
337	def stop_fit(self):
338	"""
339	Stop the fit engine
340	"""
341	if self.calc_fit!= None and self.calc_thread.isrunning():
342	self.calc_thread.stop()
343	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
344	is cancelled" , type="stop"))
345
346
347
348	def set_smearer(self,smearer, qmin=None, qmax=None):
349	"""
350	Get a smear object and store it to a fit problem
351	@param smearer: smear object to allow smearing data
352	"""
353	current_pg=self.fit_panel.get_current_page()
354	self.page_finder[current_pg].set_smearer(smearer)
355	## draw model 1D with smeared data
356	data = self.page_finder[current_pg].get_plotted_data()
357	model = self.page_finder[current_pg].get_model()
358	## if user has already selected a model to plot
359	## redraw the model with data smeared
360
361	smearer =self.page_finder[current_pg].get_smearer()
362	self.draw_model( model=model, data= data, smearer= smearer,
363	qmin= qmin, qmax= qmax)
364
365
366
367	def draw_model(self, model, data= None,smearer= None,
368	enable1D= True, enable2D= False,
369	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
370	"""
371	Draw model.
372	@param model: the model to draw
373	@param name: the name of the model to draw
374	@param data: the data on which the model is based to be drawn
375	@param description: model's description
376	@param enable1D: if true enable drawing model 1D
377	@param enable2D: if true enable drawing model 2D
378	@param qmin: Range's minimum value to draw model
379	@param qmax: Range's maximum value to draw model
380	@param qstep: number of step to divide the x and y-axis
381
382	"""
383	## draw model 1D with no loaded data
384	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
385	qmin= qmin, qmax= qmax, qstep= qstep )
386	## draw model 2D with no initial data
387	self._draw_model2D(model=model,
388	data = data,
389	enable2D= enable2D,
390	qmin=qmin,
391	qmax=qmax,
392	qstep=qstep)
393
394
395
396	def onFit(self):
397	"""
398	perform fit
399	"""
400	## count the number of fitproblem schedule to fit
401	fitproblem_count= 0
402	for value in self.page_finder.itervalues():
403	if value.get_scheduled()==1:
404	fitproblem_count += 1
405
406	## if simultaneous fit change automatically the engine to park
407	if fitproblem_count >1:
408	self._on_change_engine(engine='park')
409
410	from sans.fit.Fitting import Fit
411	self.fitter= Fit(self._fit_engine)
412
413	if self._fit_engine=="park":
414	engineType="Simultaneous Fit"
415	else:
416	engineType="Single Fit"
417
418	fproblemId = 0
419	current_pg=None
420	for page, value in self.page_finder.iteritems():
421	try:
422	if value.get_scheduled()==1:
423	#Get list of parameters name to fit
424	pars = []
425	templist = []
426	templist = page.get_param_list()
427	for element in templist:
428	name = str(element[0].GetLabelText())
429	pars.append(name)
430	#Set Engine (model , data) related to the page on
431	self._fit_helper( current_pg=page, value=value,pars=pars,
432	id=fproblemId, title= engineType )
433	fproblemId += 1
434	current_pg= page
435	except:
436	msg= "%s error: %s" % (engineType,sys.exc_value)
437	wx.PostEvent(self.parent, StatusEvent(status= msg ))
438	return
439	#Do the simultaneous fit
440	try:
441	## If a thread is already started, stop it
442	if self.calc_fit!= None and self.calc_fit.isrunning():
443	self.calc_fit.stop()
444	## perform single fit
445	if self._fit_engine=="scipy":
446	qmin, qmax= current_pg.get_range()
447	self.calc_fit=FitThread(parent =self.parent,
448	fn= self.fitter,
449	cpage=current_pg,
450	pars= pars,
451	completefn= self._single_fit_completed,
452	updatefn=None)
453
454	else:
455	## Perform more than 1 fit at the time
456	self.calc_fit=FitThread(parent =self.parent,
457	fn= self.fitter,
458	completefn= self._simul_fit_completed,
459	updatefn=None)
460	self.calc_fit.queue()
461	self.calc_fit.ready(2.5)
462
463	except:
464	msg= "%s error: %s" % (engineType,sys.exc_value)
465	wx.PostEvent(self.parent, StatusEvent(status= msg ))
466	return
467
468
469	def _add_page_onmenu(self, name,fitproblem=None):
470	"""
471	Add name of a closed page of fitpanel in a menu
472	"""
473	list = self.menu1.GetMenuItems()
474	for item in list:
475	if name == item.GetItemLabel():
476	self.closed_page_dict[name][1] = fitproblem
477
478	if not name in self.closed_page_dict.keys():
479	# Post paramters
480	event_id = wx.NewId()
481	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
482	self.closed_page_dict[name]= [event_id, fitproblem]
483	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
484
485
486	def _open_closed_page(self, event):
487	"""
488	reopen a closed page
489	"""
490	for name, value in self.closed_page_dict.iteritems():
491	if event.GetId() in value:
492	id,fitproblem = value
493	if name !="Model":
494	data= fitproblem.get_fit_data()
495	page = self.fit_panel.add_fit_page(data= data,reset=True)
496	if fitproblem != None:
497	self.page_finder[page]=fitproblem
498	if self.sim_page != None:
499	self.sim_page.draw_page()
500
501	else:
502	model = fitproblem
503	self.fit_panel.add_model_page(model=model, topmenu=True,
504	reset= True)
505	break
506
507
508	def _reset_schedule_problem(self, value=0):
509	"""
510	unschedule or schedule all fitproblem to be fit
511	"""
512	for page, fitproblem in self.page_finder.iteritems():
513	fitproblem.schedule_tofit(value)
514
515	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
516	"""
517	helper for fitting
518	"""
519	metadata = value.get_fit_data()
520	model = value.get_model()
521	smearer = value.get_smearer()
522	qmin , qmax = value.get_range()
523	self.fit_id =id
524	#Create list of parameters for fitting used
525	templist=[]
526	pars=pars
527	try:
528	## create a park model and reset parameter value if constraint
529	## is given
530	new_model = Model(model)
531	param = value.get_model_param()
532	if len(param)>0:
533	for item in param:
534	param_value = item[1]
535	param_name = item[0]
536	## check if constraint
537	if param_value !=None and param_name != None:
538	new_model.parameterset[ param_name].set( param_value )
539
540	#Do the single fit
541	self.fitter.set_model(new_model, self.fit_id, pars)
542
543	self.fitter.set_data(data=metadata,Uid=self.fit_id,
544	smearer=smearer,qmin= qmin,qmax=qmax )
545
546	self.fitter.select_problem_for_fit(Uid= self.fit_id,
547	value= value.get_scheduled())
548	value.clear_model_param()
549	except:
550	msg= title +" error: %s" % sys.exc_value
551	wx.PostEvent(self.parent, StatusEvent(status= msg ))
552	return
553
554	def _onSelect(self,event):
555	"""
556	when Select data to fit a new page is created .Its reference is
557	added to self.page_finder
558	"""
559	self.panel = event.GetEventObject()
560	for item in self.panel.graph.plottables:
561	if item.name == self.panel.graph.selected_plottable:
562	## put the errors values back to the model if the errors were hiden
563	## before sending them to the fit engine
564	if len(self.err_dy)>0:
565	if item.name in self.err_dy.iterkeys():
566	dy= self.err_dy[item.name]
567	data= self.copy_data(item, dy)
568	else:
569	data= item
570	else:
571	if item.dy==None:
572	dy= numpy.zeros(len(item.y))
573	dy[dy==0]=1
574	data= self.copy_data(item, dy)
575	else:
576	data= item
577	else:
578	data= item
579	## create anew page
580	if item.name == self.panel.graph.selected_plottable or\
581	item.__class__.__name__ is "Data2D":
582	try:
583	page = self.fit_panel.add_fit_page(data)
584	# add data associated to the page created
585	if page !=None:
586	#create a fitproblem storing all link to data,model,page creation
587	self.page_finder[page]= FitProblem()
588	## item is almost the same as data but contains
589	## axis info for plotting
590	self.page_finder[page].add_plotted_data(item)
591	self.page_finder[page].add_fit_data(data)
592
593	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
594	else:
595	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
596	except:
597	raise
598	#wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
599	#%sys.exc_value))
600	#return
601
602	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
603	"""
604	Display fit result on one page of the notebook.
605	@param result: result of fit
606	@param pars: list of names of parameters fitted
607	@param current_pg: the page where information will be displayed
608	@param qmin: the minimum value of x to replot the model
609	@param qmax: the maximum value of x to replot model
610
611	"""
612	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
613	complete! " , type="stop"))
614	try:
615	for page, value in self.page_finder.iteritems():
616	if page==cpage :
617	model= value.get_model()
618	break
619	i = 0
620	for name in pars:
621	if result.pvec.__class__==numpy.float64:
622	model.setParam(name,result.pvec)
623	else:
624	model.setParam(name,result.pvec[i])
625	i += 1
626	## Reset values of the current page to fit result
627	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
628	## plot the current model with new param
629	metadata = self.page_finder[cpage].get_fit_data()
630	model = self.page_finder[cpage].get_model()
631	qmin, qmax= self.page_finder[cpage].get_range()
632	smearer =self.page_finder[cpage].get_smearer()
633	#Replot models
634	msg= "Single Fit completed. plotting... %s:"%model.name
635	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
636	self.draw_model( model=model, data= metadata, smearer= smearer,
637	qmin= qmin, qmax= qmax)
638
639	except:
640	msg= "Single Fit completed but Following error occurred:"
641	wx.PostEvent(self.parent, StatusEvent(status="%s %s" % (msg, sys.exc_value)))
642	return
643
644
645	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
646	"""
647	Parameter estimation completed,
648	display the results to the user
649	@param alpha: estimated best alpha
650	@param elapsed: computation time
651	"""
652	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
653	complete ", type="stop"))
654
655	## fit more than 1 model at the same time
656	try:
657	for page, value in self.page_finder.iteritems():
658	if value.get_scheduled()==1:
659	model = value.get_model()
660	metadata = value.get_plotted_data()
661	small_out = []
662	small_cov = []
663	i = 0
664	#Separate result in to data corresponding to each page
665	for p in result.parameters:
666	model_name,param_name = self.split_string(p.name)
667	if model.name == model_name:
668	p_name= model.name+"."+param_name
669	if p.name == p_name:
670	small_out.append(p.value )
671	model.setParam(param_name,p.value)
672	if p.stderr==None:
673	p.stderr=numpy.nan
674	small_cov.append(p.stderr)
675
676	else:
677	small_cov.append(p.stderr)
678	else:
679	value= model.getParam(param_name)
680	small_out.append(value )
681	small_cov.append(numpy.nan)
682	# Display result on each page
683	page.onsetValues(result.fitness, small_out,small_cov)
684	#Replot models
685	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
686	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
687	qmin, qmax= page.get_range()
688	smearer =self.page_finder[page].get_smearer()
689	self.draw_model( model=model, data= metadata, smearer=smearer,
690	qmin= qmin, qmax= qmax)
691
692	except:
693	msg= "Simultaneous Fit completed but Following error occurred: "
694	wx.PostEvent(self.parent, StatusEvent(status="%s%s" %(msg,sys.exc_value)))
695	return
696
697
698
699	def _on_show_panel(self, event):
700	print "_on_show_panel: fitting"
701
702
703	def _onset_engine_park(self,event):
704	"""
705	set engine to park
706	"""
707	self._on_change_engine('park')
708
709
710	def _onset_engine_scipy(self,event):
711	"""
712	set engine to scipy
713	"""
714	self._on_change_engine('scipy')
715
716	def _on_slicer_event(self, event):
717	"""
718	Receive a panel as event and send it to guiframe
719	@param event: event containing a panel
720	"""
721	if event.panel!=None:
722	new_panel = event.panel
723	# Set group ID if available
724	event_id = self.parent.popup_panel(new_panel)
725	self.menu3.Append(event_id, new_panel.window_caption,
726	"Show %s plot panel" % new_panel.window_caption)
727	# Set UID to allow us to reference the panel later
728	new_panel.uid = event_id
729	new_panel
730	self.mypanels.append(new_panel)
731	return
732
733
734	def _return_engine_type(self):
735	"""
736	return the current type of engine
737	"""
738	return self._fit_engine
739
740
741	def _on_change_engine(self, engine='park'):
742	"""
743	Allow to select the type of engine to perform fit
744	@param engine: the key work of the engine
745	"""
746	## saving fit engine name
747	self._fit_engine = engine
748	## change menu item state
749	if engine=="park":
750	self.menu1.FindItemByPosition(0).Check(False)
751	self.menu1.FindItemByPosition(1).Check(True)
752	else:
753	self.menu1.FindItemByPosition(0).Check(True)
754	self.menu1.FindItemByPosition(1).Check(False)
755
756	## post a message to status bar
757	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
758
759	## Bind every open fit page with a newevent to know the current fitting engine
760	import fitpage
761	event= fitpage.FitterTypeEvent()
762	event.type = self._fit_engine
763	for key in self.page_finder.keys():
764	wx.PostEvent(key, event)
765
766
767	def _on_model_panel(self, evt):
768	"""
769	react to model selection on any combo box or model menu.plot the model
770	@param evt: wx.combobox event
771	"""
772	model = evt.model
773
774	if model ==None:
775	return
776
777	current_pg = self.fit_panel.get_current_page()
778	## make sure nothing is done on self.sim_page
779	## example trying to call set_panel on self.sim_page
780	if current_pg != self.sim_page :
781
782	if self.page_finder[current_pg].get_model()== None :
783
784	model.name="M"+str(self.index_model)
785	self.index_model += 1
786	else:
787	model.name= self.page_finder[current_pg].get_model().name
788
789	metadata = self.page_finder[current_pg].get_plotted_data()
790
791	# save the name containing the data name with the appropriate model
792	self.page_finder[current_pg].set_model(model)
793	qmin, qmax= current_pg.get_range()
794	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
795
796	# save model name
797	self.draw_model( model=model, data= metadata, qmin=qmin, qmax=qmax)
798
799	if self.sim_page!=None:
800	self.sim_page.draw_page()
801
802
803
804	def _on_model_menu(self, evt):
805	"""
806	Plot a theory from a model selected from the menu
807	@param evt: wx.menu event
808	"""
809	model = evt.model
810
811	# Create a model page. If a new page is created, the model
812	# will be plotted automatically. If a page already exists,
813	# the content will be updated and the plot refreshed
814	self.fit_panel.add_model_page(model,topmenu=True)
815
816
817
818
819	def _update1D(self,x, output):
820	"""
821	Update the output of plotting model 1D
822	"""
823	self.calc_thread.ready(1)
824
825	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
826	"""
827	fill Data2D with default value
828	@param theory: Data2D to fill
829	"""
830	from DataLoader.data_info import Detector, Source
831
832	detector = Detector()
833	theory.detector.append(detector)
834
835	theory.detector[0].distance=1e+32
836	theory.source= Source()
837	theory.source.wavelength=2*math.pi/1e+32
838
839	## Create detector for Model 2D
840	xmax=2theory.detector[0].distancemath.atan(\
841	qmax/(4*math.pi/theory.source.wavelength))
842
843	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
844	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
845	theory.detector[0].beam_center.x= qmax
846	theory.detector[0].beam_center.y= qmax
847	## create x_bins and y_bins of the model 2D
848	distance = theory.detector[0].distance
849	pixel = qstep/2-1
850	theta = pixel / distance / qstep#100.0
851	wavelength = theory.source.wavelength
852	pixel_width_x = theory.detector[0].pixel_size.x
853	pixel_width_y = theory.detector[0].pixel_size.y
854	center_x = theory.detector[0].beam_center.x/pixel_width_x
855	center_y = theory.detector[0].beam_center.y/pixel_width_y
856
857
858	size_x, size_y= numpy.shape(theory.data)
859	for i_x in range(size_x):
860	theta = (i_x-center_x)*pixel_width_x / distance
861	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
862	theory.x_bins.append(qx)
863	for i_y in range(size_y):
864	theta = (i_y-center_y)*pixel_width_y / distance
865	qy =4.0math.pi/wavelength math.tan(theta/2.0)
866	theory.y_bins.append(qy)
867
868	theory.group_id ="Model"
869	theory.id ="Model"
870	## determine plot boundaries
871	theory.xmin= -qmax
872	theory.xmax= qmax
873	theory.ymin= -qmax
874	theory.ymax= qmax
875
876
877	def _get_plotting_info(self, data=None):
878	"""
879	get plotting info from data if data !=None
880	else use some default
881	"""
882	my_info = PlotInfo()
883	if data !=None:
884	if hasattr(data,"info"):
885	x_name, x_units = data.get_xaxis()
886	y_name, y_units = data.get_yaxis()
887
888	my_info._xunit = x_units
889	my_info._xaxis = x_name
890	my_info._yunit = y_units
891	my_info._yaxis = y_name
892
893	my_info.title= data.name
894	if hasattr(data, "info"):
895	my_info.info= data.info
896	if hasattr(data, "group_id"):
897	my_info.group_id= data.group_id
898
899	return my_info
900
901	def _complete1D(self, x,y, elapsed,model,data=None):
902	"""
903	Complete plotting 1D data
904	"""
905	try:
906
907	new_plot = Theory1D(x=x, y=y)
908	my_info = self._get_plotting_info( data)
909	new_plot.name = model.name
910	new_plot.id = my_info.id
911	new_plot.group_id = my_info.group_id
912
913	new_plot.xaxis( my_info._xaxis, my_info._xunit)
914	new_plot.yaxis( my_info._yaxis, my_info._yunit)
915	if data!=None:
916	if new_plot.id == data.id:
917	new_plot.id += "Model"
918
919	# Pass the reset flag to let the plotting event handler
920	# know that we are replacing the whole plot
921	title= my_info.title
922	if title== None:
923	title="Analytical model 1D "
924	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
925	title= str(title), reset=True ))
926	else:
927	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
928	title= str(title)))
929
930	except:
931	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
932	msg+= " %s"%sys.exc_value
933	wx.PostEvent( self.parent, StatusEvent(status= msg ))
934	return
935
936
937
938
939	def _update2D(self, output,time=None):
940	"""
941	Update the output of plotting model
942	"""
943	wx.PostEvent(self.parent, StatusEvent(status="Plot \
944	#updating ... ",type="update"))
945	self.calc_thread.ready(0.01)
946
947
948	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
949	"""
950	Complete get the result of modelthread and create model 2D
951	that can be plot.
952	"""
953	msg = "Calc complete !"
954	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
955
956	err_image = numpy.zeros(numpy.shape(image))
957	err_image[err_image==0]= 1
958	theory= Data2D(image= image , err_image= err_image)
959	theory.name= model.name
960
961	if data ==None:
962	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
963
964	else:
965	theory.id= "Model"
966	theory.group_id= "Model"+data.name
967	theory.x_bins= data.x_bins
968	theory.y_bins= data.y_bins
969	theory.detector= data.detector
970	theory.source= data.source
971
972	## plot boundaries
973	theory.ymin= data.ymin
974	theory.ymax= data.ymax
975	theory.xmin= data.xmin
976	theory.xmax= data.xmax
977
978	## plot
979	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
980	title="Analytical model 2D ", reset=True ))
981
982	def _on_data_error(self, event):
983	"""
984	receives and event from plotting plu-gins to store the data name and
985	their errors of y coordinates for 1Data hide and show error
986	"""
987	self.err_dy= event.err_dy
988
989	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
990	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
991	"""
992	draw model in 2D
993	@param model: instance of the model to draw
994	@param description: the description of the model
995	@param enable2D: when True allows to draw model 2D
996	@param qmin: the minimum value to draw model 2D
997	@param qmax: the maximum value to draw model 2D
998	@param qstep: the number of division of Qx and Qy of the model to draw
999
1000	"""
1001
1002	x= numpy.linspace(start= -1*qmax,
1003	stop= qmax,
1004	num= qstep,
1005	endpoint=True )
1006	y = numpy.linspace(start= -1*qmax,
1007	stop= qmax,
1008	num= qstep,
1009	endpoint=True )
1010	## use data info instead
1011	if data !=None:
1012	## check if data2D to plot
1013	if hasattr(data, "x_bins"):
1014	enable2D = True
1015	x= data.x_bins
1016	y= data.y_bins
1017
1018	if not enable2D:
1019	return
1020	try:
1021	from model_thread import Calc2D
1022	## If a thread is already started, stop it
1023	if self.calc_2D != None and self.calc_2D.isrunning():
1024	self.calc_2D.stop()
1025	self.calc_2D = Calc2D( x= x,
1026	y= y,
1027	model= model,
1028	data = data,
1029	qmin= qmin,
1030	qmax= qmax,
1031	qstep= qstep,
1032	completefn= self._complete2D,
1033	updatefn= self._update2D )
1034	self.calc_2D.queue()
1035
1036	except:
1037	msg= " Error occurred when drawing %s Model 2D: "%model.name
1038	msg+= " %s"%sys.exc_value
1039	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1040	return
1041
1042	def _draw_model1D(self, model, data=None, smearer= None,
1043	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1044	"""
1045	Draw model 1D from loaded data1D
1046	@param data: loaded data
1047	@param model: the model to plot
1048	"""
1049
1050	x= numpy.linspace(start= qmin,
1051	stop= qmax,
1052	num= qstep,
1053	endpoint=True
1054	)
1055	if data!=None:
1056	## check for data2D
1057	if hasattr(data,"x_bins"):
1058	return
1059	x = data.x
1060	if qmin == DEFAULT_QMIN :
1061	qmin = min(data.x)
1062	if qmax == DEFAULT_QMAX:
1063	qmax = max(data.x)
1064
1065	if not enable1D:
1066	return
1067
1068	try:
1069	from model_thread import Calc1D
1070	## If a thread is already started, stop it
1071	if self.calc_1D!= None and self.calc_1D.isrunning():
1072	self.calc_1D.stop()
1073	self.calc_1D= Calc1D( x= x,
1074	data = data,
1075	model= model,
1076	qmin = qmin,
1077	qmax = qmax,
1078	smearer = smearer,
1079	completefn = self._complete1D,
1080	updatefn = self._update1D )
1081	self.calc_1D.queue()
1082
1083	except:
1084	msg= " Error occurred when drawing %s Model 1D: "%model.name
1085	msg+= " %s"%sys.exc_value
1086	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1087	return
1088
1089
1090
1091
1092
1093	if __name__ == "__main__":
1094	i = Plugin()
1095
1096
1097
1098

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ a81e613

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