fitting.py @ b03deea

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 b03deea was 77e23a2, checked in by Gervaise Alina <gervyh@…>, 15 years ago
add fit with parameter range when selecting park only
Property mode set to `100644`
File size: 40.5 KB

Line
1	import re
2	import sys, wx, logging
3	import string, numpy, math
4
5	#import copy,deepcopy
6	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
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
11	from sans.fit.AbstractFitEngine import Model,FitData1D,FitData2D#,Data,
12	from fitproblem import FitProblem
13	from fitpanel import FitPanel
14	from fit_thread import FitThread
15	import models
16	import fitpage
17
18	DEFAULT_BEAM = 0.005
19	DEFAULT_QMIN = 0.0
20	DEFAULT_QMAX = 0.1
21	DEFAULT_NPTS = 50
22	import time
23	import thread
24
25
26	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
27	class PlotInfo:
28	"""
29	store some plotting field
30	"""
31	_xunit = 'A^{-1}'
32	_xaxis= "\\rm{Q}"
33	_yunit = "cm^{-1}"
34	_yaxis= "\\rm{Intensity} "
35	id = "Model"
36	group_id = "Model"
37	title= None
38	info= None
39
40
41	class Plugin:
42	"""
43	Fitting plugin is used to perform fit
44	"""
45	def __init__(self):
46	## Plug-in name
47	self.sub_menu = "Fitting"
48
49	## Reference to the parent window
50	self.parent = None
51	#Provide list of models existing in the application
52	self.menu_mng = models.ModelManager()
53	## List of panels for the simulation perspective (names)
54	self.perspective = []
55	#list of panel to send to guiframe
56	self.mypanels=[]
57	# reference to the current running thread
58	self.calc_2D= None
59	self.calc_1D= None
60	self.calc_fit= None
61
62	# Start with a good default
63	self.elapsed = 0.022
64	# the type of optimizer selected, park or scipy
65	self.fitter = None
66	#Flag to let the plug-in know that it is running stand alone
67	self.standalone=True
68	## dictionary of page closed and id
69	self.closed_page_dict ={}
70	## Fit engine
71	self._fit_engine = 'scipy'
72	#List of selected data
73	self.selected_data_list=[]
74	# Log startup
75	logging.info("Fitting plug-in started")
76	# model 2D view
77	self.model2D_id=None
78	#keep reference of the simultaneous fit page
79	self.sim_page=None
80	#dictionary containing data name and error on dy of that data
81	self.err_dy={}
82
83
84
85	def populate_menu(self, id, owner):
86	"""
87	Create a menu for the Fitting plug-in
88	@param id: id to create a menu
89	@param owner: owner of menu
90	@ return : list of information to populate the main menu
91	"""
92	#Menu for fitting
93	self.menu1 = wx.Menu()
94
95	#Set park engine
96	id3 = wx.NewId()
97	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
98	#self.menu1.Append(id3, "Scipy",scipy_help)
99	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
100	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
101
102	id3 = wx.NewId()
103	park_help = "Park Engine: Perform Complex fit. More in Help window...."
104	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
105	wx.EVT_MENU(owner, id3, self._onset_engine_park)
106	self.menu1.AppendSeparator()
107
108	id1 = wx.NewId()
109	simul_help = "Allow to edit fit engine with multiple model and data"
110	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
111	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
112
113	#menu for model
114	menu2 = wx.Menu()
115
116	self.menu_mng.populate_menu(menu2, owner)
117	id2 = wx.NewId()
118	owner.Bind(models.EVT_MODEL,self._on_model_menu)
119
120	self.fit_panel.set_owner(owner)
121	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
122	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
123
124	self.menu3= wx.Menu()
125	id4 = wx.NewId()
126
127	#create menubar items
128	return [(id, self.menu1, "Fitting"),
129	(id4,self.menu3,"Averagers"),
130	(id2, menu2, "Model")]
131
132	def on_add_sim_page(self, event):
133	"""
134	Create a page to access simultaneous fit option
135	"""
136	if self.sim_page !=None:
137	msg= "Simultaneous Fit page already opened"
138	wx.PostEvent(self.parent, StatusEvent(status= msg))
139	return
140
141	self.sim_page= self.fit_panel.add_sim_page()
142
143
144
145	def help(self, evt):
146	"""
147	Show a general help dialog.
148	TODO: replace the text with a nice image
149	"""
150	from helpPanel import HelpWindow
151	frame = HelpWindow(None, -1, 'HelpWindow')
152	frame.Show(True)
153
154
155	def get_context_menu(self, graph=None):
156	"""
157	Get the context menu items available for P(r)
158	@param graph: the Graph object to which we attach the context menu
159	@return: a list of menu items with call-back function
160	"""
161	self.graph=graph
162	for item in graph.plottables:
163	if item.__class__.__name__ is "Data2D":
164	return [["Select data for Fitting",\
165	"Dialog with fitting parameters ", self._onSelect]]
166	else:
167
168	if item.name==graph.selected_plottable :
169	if not hasattr(item, "group_id"):
170	return []
171	return [["Select data for Fitting", \
172	"Dialog with fitting parameters ", self._onSelect]]
173	return []
174
175
176	def get_panels(self, parent):
177	"""
178	Create and return a list of panel objects
179	"""
180	self.parent = parent
181	# Creation of the fit panel
182	self.fit_panel = FitPanel(self.parent, -1)
183	#Set the manager for the main panel
184	self.fit_panel.set_manager(self)
185	# List of windows used for the perspective
186	self.perspective = []
187	self.perspective.append(self.fit_panel.window_name)
188	# take care of saving data, model and page associated with each other
189	self.page_finder = {}
190	#index number to create random model name
191	self.index_model = 0
192	self.index_theory= 0
193	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
194	self.parent.Bind( ERR_DATA, self._on_data_error)
195
196	#Send the fitting panel to guiframe
197	self.mypanels.append(self.fit_panel)
198	return self.mypanels
199
200
201
202	def get_perspective(self):
203	"""
204	Get the list of panel names for this perspective
205	"""
206	return self.perspective
207
208
209	def on_perspective(self, event):
210	"""
211	Call back function for the perspective menu item.
212	We notify the parent window that the perspective
213	has changed.
214	"""
215	self.parent.set_perspective(self.perspective)
216
217
218	def post_init(self):
219	"""
220	Post initialization call back to close the loose ends
221	[Somehow openGL needs this call]
222	"""
223	self.parent.set_perspective(self.perspective)
224
225
226	def copy_data(self, item, dy):
227	"""
228	receive a data 1D and the list of errors on dy
229	and create a new data1D data
230	@param return
231	"""
232	detector=None
233	source=None
234	dxl=None
235	dxw=None
236	if hasattr(item, "dxl"):
237	dxl = item.dxl
238	if hasattr(item, "dxw"):
239	dxw = item.dxw
240	if hasattr(item, "detector"):
241	detector =item.detector
242	if hasattr(item, "source"):
243	source =item.source
244	from sans.guiframe import dataFitting
245	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
246	data.name=item.name
247	data.detector=detector
248	data.source= source
249	return data
250
251	def set_fit_range(self, page, qmin, qmax):
252	"""
253	Set the fitting range of a given page
254	"""
255	if page in self.page_finder.iterkeys():
256	fitproblem= self.page_finder[page]
257	fitproblem.set_range(qmin= qmin, qmax= qmax)
258
259	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
260	"""
261	Set the fit problem field to 0 or 1 to schedule that problem to fit.
262	Schedule the specified fitproblem or get the fit problem related to
263	the current page and set value.
264	@param value : integer 0 or 1
265	@param fitproblem: fitproblem to schedule or not to fit
266	"""
267	if fitproblem !=None:
268	fitproblem.schedule_tofit(value)
269	else:
270	if page in self.page_finder.iterkeys():
271	fitproblem= self.page_finder[page]
272	fitproblem.schedule_tofit(value)
273
274
275
276	def get_page_finder(self):
277	""" @return self.page_finder used also by simfitpage.py"""
278	return self.page_finder
279
280
281	def set_page_finder(self,modelname,names,values):
282	"""
283	Used by simfitpage.py to reset a parameter given the string constrainst.
284	@param modelname: the name ot the model for with the parameter has to reset
285	@param value: can be a string in this case.
286	@param names: the paramter name
287	@note: expecting park used for fit.
288	"""
289	sim_page= self.sim_page
290	for page, value in self.page_finder.iteritems():
291	if page != sim_page:
292	list=value.get_model()
293	model = list[0]
294	if model.name== modelname:
295	value.set_model_param(names,values)
296	break
297
298
299
300	def split_string(self,item):
301	"""
302	receive a word containing dot and split it. used to split parameterset
303	name into model name and parameter name example:
304	paramaterset (item) = M1.A
305	@return model_name =M1 , parameter name =A
306	"""
307	if string.find(item,".")!=-1:
308	param_names= re.split("\.",item)
309	model_name=param_names[0]
310	param_name=param_names[1]
311	return model_name,param_name
312
313
314	def stop_fit(self):
315	"""
316	Stop the fit engine
317	"""
318	if self.calc_fit!= None and self.calc_thread.isrunning():
319	self.calc_thread.stop()
320	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
321	is cancelled" , type="stop"))
322
323
324
325	def set_smearer(self,smearer, qmin=None, qmax=None):
326	"""
327	Get a smear object and store it to a fit problem
328	@param smearer: smear object to allow smearing data
329	"""
330	current_pg=self.fit_panel.get_current_page()
331	self.page_finder[current_pg].set_smearer(smearer)
332	## draw model 1D with smeared data
333	data = self.page_finder[current_pg].get_plotted_data()
334	model = self.page_finder[current_pg].get_model()
335	## if user has already selected a model to plot
336	## redraw the model with data smeared
337
338	smearer =self.page_finder[current_pg].get_smearer()
339	if smearer != None:
340	self.draw_model( model=model, data= data, smearer= smearer,
341	qmin= qmin, qmax= qmax)
342
343
344
345	def draw_model(self, model, data= None,smearer= None,
346	enable1D= True, enable2D= False,
347	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
348	"""
349	Draw model.
350	@param model: the model to draw
351	@param name: the name of the model to draw
352	@param data: the data on which the model is based to be drawn
353	@param description: model's description
354	@param enable1D: if true enable drawing model 1D
355	@param enable2D: if true enable drawing model 2D
356	@param qmin: Range's minimum value to draw model
357	@param qmax: Range's maximum value to draw model
358	@param qstep: number of step to divide the x and y-axis
359
360	"""
361	## draw model 1D with no loaded data
362	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
363	qmin= qmin, qmax= qmax, qstep= qstep )
364	## draw model 2D with no initial data
365	self._draw_model2D(model=model,
366	data = data,
367	enable2D= enable2D,
368	qmin=qmin,
369	qmax=qmax,
370	qstep=qstep)
371
372
373
374	def onFit(self):
375	"""
376	perform fit
377	"""
378	## count the number of fitproblem schedule to fit
379	fitproblem_count= 0
380	for value in self.page_finder.itervalues():
381	if value.get_scheduled()==1:
382	fitproblem_count += 1
383
384	## if simultaneous fit change automatically the engine to park
385	if fitproblem_count >1:
386	self.menu1.FindItemByPosition(1).Check(True)
387	self.menu1.FindItemByPosition(0).Check(False)
388	self._on_change_engine(engine='park')
389
390	from sans.fit.Fitting import Fit
391	self.fitter= Fit(self._fit_engine)
392
393	if self._fit_engine=="park":
394	engineType="Simultaneous Fit"
395	else:
396	engineType="Single Fit"
397
398	fproblemId = 0
399	current_pg=None
400	for page, value in self.page_finder.iteritems():
401	try:
402	if value.get_scheduled()==1:
403	#Get list of parameters name to fit
404	pars = []
405	templist = []
406	templist = page.get_param_list()
407	for element in templist:
408	name = str(element[0].GetLabelText())
409	pars.append(name)
410	#Set Engine (model , data) related to the page on
411	self._fit_helper( current_pg=page, value=value,pars=pars,
412	id=fproblemId, title= engineType )
413	fproblemId += 1
414	current_pg= page
415	except:
416	msg= "%s error: %s" % (engineType,sys.exc_value)
417	wx.PostEvent(self.parent, StatusEvent(status= msg ))
418	return
419	#Do the simultaneous fit
420	try:
421	## If a thread is already started, stop it
422	if self.calc_fit!= None and self.calc_fit.isrunning():
423	self.calc_fit.stop()
424	## perform single fit
425	if self._fit_engine=="scipy":
426	qmin, qmax= current_pg.get_range()
427	self.calc_fit=FitThread(parent =self.parent,
428	fn= self.fitter,
429	cpage=current_pg,
430	pars= pars,
431	completefn= self._single_fit_completed,
432	updatefn=None)
433
434	else:
435	## Perform more than 1 fit at the time
436	self.calc_fit=FitThread(parent =self.parent,
437	fn= self.fitter,
438	completefn= self._simul_fit_completed,
439	updatefn=None)
440	self.calc_fit.queue()
441	self.calc_fit.ready(2.5)
442
443	except:
444	msg= "%s error: %s" % (engineType,sys.exc_value)
445	wx.PostEvent(self.parent, StatusEvent(status= msg ))
446	return
447
448
449	def _add_page_onmenu(self, name, page_info,fitproblem=None):
450	"""
451	Add name of a closed page of fitpanel in a menu
452	"""
453	if len(self.closed_page_dict)>0:
454	for k , value in self.closed_page_dict.iteritems():
455	if not name in value:
456	# Post paramters
457	event_id = wx.NewId()
458	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
459	self.closed_page_dict[event_id ]= [page_info, fitproblem]
460	else:
461	event_id= k
462	self.closed_page_dict[k ]= [page_info, fitproblem]
463	else:
464	event_id = wx.NewId()
465	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
466	self.closed_page_dict[event_id ]= [page_info, fitproblem]
467	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
468
469
470	def _open_closed_page(self, event):
471	"""
472	reopen a closed page
473	"""
474	if event.GetId() in self.closed_page_dict.keys():
475	page_info,fitproblem = self.closed_page_dict[ event.GetId() ]
476	if page_info.page_name !="Model Page":
477	page = self.fit_panel.add_fit_page(page_info.data)
478	if fitproblem != None:
479	self.page_finder[page]=fitproblem
480	else:
481	model= page_info.model
482	self.fit_panel.add_model_page(model,model.name,topmenu=False)
483
484	def _reset_schedule_problem(self, value=0):
485	"""
486	unschedule or schedule all fitproblem to be fit
487	"""
488	for page, fitproblem in self.page_finder.iteritems():
489	fitproblem.schedule_tofit(value)
490
491	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
492	"""
493	helper for fitting
494	"""
495	metadata = value.get_fit_data()
496	model = value.get_model()
497	smearer = value.get_smearer()
498	qmin , qmax = value.get_range()
499	self.fit_id =id
500	#Create list of parameters for fitting used
501	templist=[]
502	pars=pars
503	try:
504	## create a park model and reset parameter value if constraint
505	## is given
506	new_model = Model(model)
507	param = value.get_model_param()
508	if len(param)>0:
509	for item in param:
510	param_value = item[1]
511	param_name = item[0]
512	## check if constraint
513	if param_value !=None and param_name != None:
514	new_model.parameterset[ param_name].set( param_value )
515
516
517	#Do the single fit
518	self.fitter.set_model(new_model, self.fit_id, pars)
519	dy=[]
520	x=[]
521	y=[]
522	## checking the validity of error
523	if metadata.__class__ in ["Data1D","Theory1D"]:
524	for i in range(len(metadata.dy)):
525	if metadata.dy[i] !=0:
526	dy.append(metadata.dy[i])
527	x.append(metadata.x[i])
528	y.append(metadata.y[i])
529	if len(dy)>0:
530	metadata.dy=numpy.zeros(len(dy))
531	metadata.dy=dy
532	metadata.y=numpy.zeros(len(y))
533	metadata.y=y
534	metadata.x=numpy.zeros(len(x))
535	metadata.x=x
536
537	self.fitter.set_data(data=metadata,Uid=self.fit_id,
538	smearer=smearer,qmin= qmin,qmax=qmax )
539
540	self.fitter.select_problem_for_fit(Uid= self.fit_id,
541	value= value.get_scheduled())
542
543	except:
544	msg= title +" error: %s" % sys.exc_value
545	wx.PostEvent(self.parent, StatusEvent(status= msg ))
546	return
547
548	def _onSelect(self,event):
549	"""
550	when Select data to fit a new page is created .Its reference is
551	added to self.page_finder
552	"""
553	self.panel = event.GetEventObject()
554	for item in self.panel.graph.plottables:
555	if item.name == self.panel.graph.selected_plottable:
556	## put the errors values back to the model if the errors were hiden
557	## before sending them to the fit engine
558	if len(self.err_dy)>0:
559	if item.name in self.err_dy.iterkeys():
560	dy= self.err_dy[item.name]
561	data= self.copy_data(item, dy)
562	else:
563	data= item
564	else:
565	if item.dy==None:
566	dy= numpy.zeros(len(item.y))
567	dy[dy==0]=1
568	data= self.copy_data(item, dy)
569	else:
570	data= item
571	else:
572	data= item
573	## create anew page
574	if item.name == self.panel.graph.selected_plottable or\
575	item.__class__.__name__ is "Data2D":
576	try:
577	page = self.fit_panel.add_fit_page(data)
578	# add data associated to the page created
579	if page !=None:
580	#create a fitproblem storing all link to data,model,page creation
581	self.page_finder[page]= FitProblem()
582	## item is almost the same as data but contains
583	## axis info for plotting
584	self.page_finder[page].add_plotted_data(item)
585	self.page_finder[page].add_fit_data(data)
586
587	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
588	else:
589	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
590	except:
591	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
592	%sys.exc_value))
593	return
594
595	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
596	"""
597	Display fit result on one page of the notebook.
598	@param result: result of fit
599	@param pars: list of names of parameters fitted
600	@param current_pg: the page where information will be displayed
601	@param qmin: the minimum value of x to replot the model
602	@param qmax: the maximum value of x to replot model
603
604	"""
605	#wx.PostEvent(self.parent, StatusEvent(status="Single fit \
606	#complete! " , type="stop"))
607	try:
608	for page, value in self.page_finder.iteritems():
609	if page==cpage :
610	model= value.get_model()
611	break
612	i = 0
613	for name in pars:
614	if result.pvec.__class__==numpy.float64:
615	model.setParam(name,result.pvec)
616	else:
617	model.setParam(name,result.pvec[i])
618	i += 1
619	## Reset values of the current page to fit result
620	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
621	## plot the current model with new param
622	metadata = self.page_finder[cpage].get_fit_data()
623	model = self.page_finder[cpage].get_model()
624	qmin, qmax= self.page_finder[cpage].get_range()
625	#Replot models
626	msg= "Single Fit completed. plotting... %s:"%model.name
627	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
628	self.draw_model( model=model, data= metadata,qmin= qmin, qmax= qmax)
629
630	except:
631	msg= "Single Fit completed but Following error occurred:"
632	wx.PostEvent(self.parent, StatusEvent(status="%s %s" % (msg, sys.exc_value)))
633	return
634
635
636	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
637	"""
638	Parameter estimation completed,
639	display the results to the user
640	@param alpha: estimated best alpha
641	@param elapsed: computation time
642	"""
643	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
644	complete ", type="stop"))
645
646	## fit more than 1 model at the same time
647	try:
648	for page, value in self.page_finder.iteritems():
649	if value.get_scheduled()==1:
650	model = value.get_model()
651	metadata = value.get_plotted_data()
652	small_out = []
653	small_cov = []
654	i = 0
655	#Separate result in to data corresponding to each page
656	for p in result.parameters:
657	model_name,param_name = self.split_string(p.name)
658	if model.name == model_name:
659	p_name= model.name+"."+param_name
660	if p.name == p_name:
661	small_out.append(p.value )
662	model.setParam(param_name,p.value)
663	if p.stderr==None:
664	p.stderr=numpy.nan
665	small_cov.append(p.stderr)
666
667	else:
668	small_cov.append(p.stderr)
669	else:
670	value= model.getParam(param_name)
671	small_out.append(value )
672	small_cov.append(numpy.nan)
673	# Display result on each page
674	page.onsetValues(result.fitness, small_out,small_cov)
675	#Replot models
676	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
677	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
678	qmin, qmax= page.get_range()
679	self.draw_model( model=model, data= metadata,qmin= qmin, qmax= qmax)
680
681	except:
682	msg= "Simultaneous Fit completed but Following error occurred: "
683	wx.PostEvent(self.parent, StatusEvent(status="%s%s" %(msg,sys.exc_value)))
684	return
685
686
687
688	def _on_show_panel(self, event):
689	print "_on_show_panel: fitting"
690
691
692	def _onset_engine_park(self,event):
693	"""
694	set engine to park
695	"""
696	if event.IsChecked():
697	self.menu1.FindItemByPosition(0).Check(False)
698	self._on_change_engine('park')
699
700
701	def _onset_engine_scipy(self,event):
702	"""
703	set engine to scipy
704	"""
705	if event.IsChecked():
706	self.menu1.FindItemByPosition(1).Check(False)
707	self._on_change_engine('scipy')
708
709	def _on_slicer_event(self, event):
710	"""
711	Receive a panel as event and send it to guiframe
712	@param event: event containing a panel
713	"""
714	if event.panel!=None:
715	new_panel = event.panel
716	# Set group ID if available
717	event_id = self.parent.popup_panel(new_panel)
718	self.menu3.Append(event_id, new_panel.window_caption,
719	"Show %s plot panel" % new_panel.window_caption)
720	# Set UID to allow us to reference the panel later
721	new_panel.uid = event_id
722	new_panel
723	self.mypanels.append(new_panel)
724	return
725
726	def _on_change_engine(self, engine='park'):
727	"""
728	Allow to select the type of engine to perform fit
729	@param engine: the key work of the engine
730	"""
731	## saving fit engine name
732	self._fit_engine = engine
733	## post a message to status bar
734	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
735
736	## Bind every open fit page with a newevent to know the current fitting engine
737	import fitpage
738	event= fitpage.FitterTypeEvent()
739	event.type = self._fit_engine
740	for key in self.page_finder.keys():
741	wx.PostEvent(key, event)
742
743
744	def _on_model_panel(self, evt):
745	"""
746	react to model selection on any combo box or model menu.plot the model
747	@param evt: wx.combobox event
748	"""
749	model = evt.model
750
751	if model ==None:
752	return
753
754	current_pg = self.fit_panel.get_current_page()
755	## make sure nothing is done on self.sim_page
756	## example trying to call set_panel on self.sim_page
757	if current_pg != self.sim_page :
758
759	if self.page_finder[current_pg].get_model()== None :
760
761	model.name="M"+str(self.index_model)
762	self.index_model += 1
763	else:
764	model.name= self.page_finder[current_pg].get_model().name
765
766	metadata = self.page_finder[current_pg].get_plotted_data()
767
768	# save the name containing the data name with the appropriate model
769	self.page_finder[current_pg].set_model(model)
770	qmin, qmax= current_pg.get_range()
771	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
772
773	# save model name
774	self.draw_model( model=model, data= metadata, qmin=qmin, qmax=qmax)
775
776	if self.sim_page!=None:
777	self.sim_page.draw_page()
778
779
780
781	def _on_model_menu(self, evt):
782	"""
783	Plot a theory from a model selected from the menu
784	@param evt: wx.menu event
785	"""
786	name = evt.model.__class__.__name__
787	if hasattr(evt.model, "name"):
788	name = evt.model.name
789	model = evt.model
790
791	# Create a model page. If a new page is created, the model
792	# will be plotted automatically. If a page already exists,
793	# the content will be updated and the plot refreshed
794	self.fit_panel.add_model_page(model,name,topmenu=True)
795
796
797
798
799	def _update1D(self,x, output):
800	"""
801	Update the output of plotting model 1D
802	"""
803	self.calc_thread.ready(1)
804
805	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
806	"""
807	fill Data2D with default value
808	@param theory: Data2D to fill
809	"""
810	from DataLoader.data_info import Detector, Source
811
812	detector = Detector()
813	theory.detector.append(detector)
814
815	theory.detector[0].distance=1e+32
816	theory.source= Source()
817	theory.source.wavelength=2*math.pi/1e+32
818
819	## Create detector for Model 2D
820	xmax=2theory.detector[0].distancemath.atan(\
821	qmax/(4*math.pi/theory.source.wavelength))
822
823	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
824	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
825	theory.detector[0].beam_center.x= qmax
826	theory.detector[0].beam_center.y= qmax
827	## create x_bins and y_bins of the model 2D
828	distance = theory.detector[0].distance
829	pixel = qstep/2-1
830	theta = pixel / distance / qstep#100.0
831	wavelength = theory.source.wavelength
832	pixel_width_x = theory.detector[0].pixel_size.x
833	pixel_width_y = theory.detector[0].pixel_size.y
834	center_x = theory.detector[0].beam_center.x/pixel_width_x
835	center_y = theory.detector[0].beam_center.y/pixel_width_y
836
837
838	size_x, size_y= numpy.shape(theory.data)
839	for i_x in range(size_x):
840	theta = (i_x-center_x)*pixel_width_x / distance
841	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
842	theory.x_bins.append(qx)
843	for i_y in range(size_y):
844	theta = (i_y-center_y)*pixel_width_y / distance
845	qy =4.0math.pi/wavelength math.tan(theta/2.0)
846	theory.y_bins.append(qy)
847
848	theory.group_id ="Model"
849	theory.id ="Model"
850	## determine plot boundaries
851	theory.xmin= -qmax
852	theory.xmax= qmax
853	theory.ymin= -qmax
854	theory.ymax= qmax
855
856
857	def _get_plotting_info(self, data=None):
858	"""
859	get plotting info from data if data !=None
860	else use some default
861	"""
862	my_info = PlotInfo()
863	if data !=None:
864	if hasattr(data,"info"):
865	x_name, x_units = data.get_xaxis()
866	y_name, y_units = data.get_yaxis()
867
868	my_info._xunit = x_units
869	my_info._xaxis = x_name
870	my_info._yunit = y_units
871	my_info._yaxis = y_name
872
873	my_info.title= data.name
874	if hasattr(data, "info"):
875	my_info.info= data.info
876	if hasattr(data, "group_id"):
877	my_info.group_id= data.group_id
878
879	return my_info
880
881	def _complete1D(self, x,y, elapsed,model,data=None):
882	"""
883	Complete plotting 1D data
884	"""
885	try:
886	new_plot = Theory1D(x=x, y=y)
887	my_info = self._get_plotting_info( data)
888	new_plot.name = model.name
889	new_plot.id = my_info.id
890	new_plot.group_id = my_info.group_id
891
892	new_plot.xaxis( my_info._xaxis, my_info._xunit)
893	new_plot.yaxis( my_info._yaxis, my_info._yunit)
894
895	# Pass the reset flag to let the plotting event handler
896	# know that we are replacing the whole plot
897	title= my_info.title
898	if title== None:
899	title="Analytical model 1D "
900	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
901	title= str(title), reset=True ))
902	else:
903	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
904	title= str(title)))
905
906	except:
907	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
908	msg+= " %s"%sys.exc_value
909	wx.PostEvent( self.parent, StatusEvent(status= msg ))
910	return
911
912
913
914
915	def _update2D(self, output,time=None):
916	"""
917	Update the output of plotting model
918	"""
919	wx.PostEvent(self.parent, StatusEvent(status="Plot \
920	#updating ... ",type="update"))
921	self.calc_thread.ready(0.01)
922
923
924	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
925	"""
926	Complete get the result of modelthread and create model 2D
927	that can be plot.
928	"""
929	msg = "Calc complete !"
930	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
931
932	err_image = numpy.zeros(numpy.shape(image))
933	err_image[err_image==0]= 1
934	theory= Data2D(image= image , err_image= err_image)
935	theory.name= model.name
936
937	if data ==None:
938	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
939
940	else:
941	theory.id= "Model"
942	theory.group_id= "Model"+data.name
943	theory.x_bins= data.x_bins
944	theory.y_bins= data.y_bins
945	theory.detector= data.detector
946	theory.source= data.source
947
948	## plot boundaries
949	theory.ymin= data.ymin
950	theory.ymax= data.ymax
951	theory.xmin= data.xmin
952	theory.xmax= data.xmax
953
954	## plot
955	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
956	title="Analytical model 2D ", reset=True ))
957
958	def _on_data_error(self, event):
959	"""
960	receives and event from plotting plu-gins to store the data name and
961	their errors of y coordinates for 1Data hide and show error
962	"""
963	self.err_dy= event.err_dy
964
965	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
966	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
967	"""
968	draw model in 2D
969	@param model: instance of the model to draw
970	@param description: the description of the model
971	@param enable2D: when True allows to draw model 2D
972	@param qmin: the minimum value to draw model 2D
973	@param qmax: the maximum value to draw model 2D
974	@param qstep: the number of division of Qx and Qy of the model to draw
975
976	"""
977
978	x= numpy.linspace(start= -1*qmax,
979	stop= qmax,
980	num= qstep,
981	endpoint=True )
982	y = numpy.linspace(start= -1*qmax,
983	stop= qmax,
984	num= qstep,
985	endpoint=True )
986	## use data info instead
987	if data !=None:
988	## check if data2D to plot
989	if hasattr(data, "x_bins"):
990	enable2D = True
991	x= data.x_bins
992	y= data.y_bins
993
994	if not enable2D:
995	return
996	try:
997	from model_thread import Calc2D
998	## If a thread is already started, stop it
999	if self.calc_2D != None and self.calc_2D.isrunning():
1000	self.calc_2D.stop()
1001	self.calc_2D = Calc2D( x= x,
1002	y= y,
1003	model= model,
1004	data = data,
1005	qmin= qmin,
1006	qmax= qmax,
1007	qstep= qstep,
1008	completefn= self._complete2D,
1009	updatefn= self._update2D )
1010	self.calc_2D.queue()
1011
1012	except:
1013	msg= " Error occurred when drawing %s Model 2D: "%model.name
1014	msg+= " %s"%sys.exc_value
1015	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1016	return
1017
1018	def _draw_model1D(self, model, data=None, smearer= None,
1019	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1020	"""
1021	Draw model 1D from loaded data1D
1022	@param data: loaded data
1023	@param model: the model to plot
1024	"""
1025
1026	x= numpy.linspace(start= qmin,
1027	stop= qmax,
1028	num= qstep,
1029	endpoint=True
1030	)
1031	if data!=None:
1032	## check for data2D
1033	if hasattr(data,"x_bins"):
1034	return
1035	x = data.x
1036	if qmin == DEFAULT_QMIN :
1037	qmin = min(data.x)
1038	if qmax == DEFAULT_QMAX:
1039	qmax = max(data.x)
1040
1041	if not enable1D:
1042	return
1043
1044	try:
1045	from model_thread import Calc1D
1046	## If a thread is already started, stop it
1047	if self.calc_1D!= None and self.calc_1D.isrunning():
1048	self.calc_1D.stop()
1049	self.calc_1D= Calc1D( x= x,
1050	data = data,
1051	model= model,
1052	qmin = qmin,
1053	qmax = qmax,
1054	smearer = smearer,
1055	completefn = self._complete1D,
1056	updatefn = self._update1D )
1057	self.calc_1D.queue()
1058
1059	except:
1060	msg= " Error occurred when drawing %s Model 1D: "%model.name
1061	msg+= " %s"%sys.exc_value
1062	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1063	return
1064
1065
1066
1067
1068
1069	if __name__ == "__main__":
1070	i = Plugin()
1071
1072
1073
1074

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ b03deea

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