fitting.py @ 588f84f

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 588f84f was 05971e1, checked in by Jae Cho <jhjcho@…>, 16 years ago
prepared add prview module to Sansview:
Property mode set to `100644`
File size: 48.4 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,EVT_REMOVE_DATA
10	from sans.guicomm.events import EVT_SLICER_PARS_UPDATE
11	from sans.guiframe import dataFitting
12	from sans.fit.AbstractFitEngine import Model
13
14
15	from fitproblem import FitProblem
16	from fitpanel import FitPanel
17	from fit_thread import FitThread
18	import models
19	import fitpage
20
21
22	DEFAULT_BEAM = 0.005
23	DEFAULT_QMIN = 0.0001
24	DEFAULT_QMAX = 0.13
25	DEFAULT_NPTS = 50
26	import time
27	import thread
28	from sans.fit.AbstractFitEngine import FitAbort
29
30	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
31	class PlotInfo:
32	"""
33	store some plotting field
34	"""
35	_xunit = 'A^{-1}'
36	_xaxis= "\\rm{Q}"
37	_yunit = "cm^{-1}"
38	_yaxis= "\\rm{Intensity} "
39	id = "Model"
40	group_id = "Model"
41	title= None
42	info= None
43
44
45	class Plugin:
46	"""
47	Fitting plugin is used to perform fit
48	"""
49	def __init__(self):
50	## Plug-in name
51	self.sub_menu = "Fitting"
52
53	## Reference to the parent window
54	self.parent = None
55	#Provide list of models existing in the application
56	self.menu_mng = models.ModelManager()
57	## List of panels for the simulation perspective (names)
58	self.perspective = []
59	#list of panel to send to guiframe
60	self.mypanels=[]
61	# reference to the current running thread
62	self.calc_2D= None
63	self.calc_1D= None
64	self.calc_fit= None
65
66	# Start with a good default
67	self.elapsed = 0.022
68	# the type of optimizer selected, park or scipy
69	self.fitter = None
70	#Flag to let the plug-in know that it is running stand alone
71	self.standalone=True
72	## dictionary of page closed and id
73	self.closed_page_dict ={}
74	## Fit engine
75	self._fit_engine = 'scipy'
76	#List of selected data
77	self.selected_data_list=[]
78	## list of slicer panel created to display slicer parameters and results
79	self.slicer_panels=[]
80	# Log startup
81	logging.info("Fitting plug-in started")
82	# model 2D view
83	self.model2D_id=None
84	#keep reference of the simultaneous fit page
85	self.sim_page=None
86	#dictionary containing data name and error on dy of that data
87	self.err_dy={}
88
89
90
91	def populate_menu(self, id, owner):
92	"""
93	Create a menu for the Fitting plug-in
94	@param id: id to create a menu
95	@param owner: owner of menu
96	@ return : list of information to populate the main menu
97	"""
98	#Menu for fitting
99	self.menu1 = wx.Menu()
100
101	#Set park engine
102	id3 = wx.NewId()
103	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
104	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
105	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
106
107	id3 = wx.NewId()
108	park_help = "Park Engine: Perform Complex fit. More in Help window...."
109	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
110	wx.EVT_MENU(owner, id3, self._onset_engine_park)
111
112	self.menu1.FindItemByPosition(0).Check(True)
113	self.menu1.FindItemByPosition(1).Check(False)
114
115	self.menu1.AppendSeparator()
116
117	id1 = wx.NewId()
118	simul_help = "Allow to edit fit engine with multiple model and data"
119	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
120	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
121
122	#menu for model
123	menu2 = wx.Menu()
124
125	self.menu_mng.populate_menu(menu2, owner)
126	id2 = wx.NewId()
127	owner.Bind(models.EVT_MODEL,self._on_model_menu)
128
129	self.fit_panel.set_owner(owner)
130	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
131	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
132
133	#create menubar items
134	return [(id, self.menu1, "Fitting"),
135	(id2, menu2, "Model")]
136
137
138	def on_add_sim_page(self, event):
139	"""
140	Create a page to access simultaneous fit option
141	"""
142	Plugin.on_perspective(self,event=event)
143	if self.sim_page !=None:
144	msg= "Simultaneous Fit page already opened"
145	wx.PostEvent(self.parent, StatusEvent(status= msg))
146	return
147
148	self.sim_page= self.fit_panel.add_sim_page()
149
150
151
152	def help(self, evt):
153	"""
154	Show a general help dialog.
155	TODO: replace the text with a nice image
156	"""
157	from helpPanel import HelpWindow
158	frame = HelpWindow(None, -1, 'HelpWindow')
159	frame.Show(True)
160
161
162	def get_context_menu(self, graph=None):
163	"""
164	Get the context menu items available for P(r)
165	@param graph: the Graph object to which we attach the context menu
166	@return: a list of menu items with call-back function
167	"""
168	#TODO: clean this up so that the string are not copied
169	# multiple times.
170	self.graph=graph
171	for item in graph.plottables:
172	if item.__class__.__name__ is "Data2D":
173	if hasattr(item,"is_data"):
174	if item.is_data:
175	return [["Select data for fitting", \
176	"Dialog with fitting parameters ", self._onSelect]]
177	else:
178	return []
179	return [["Select data for fitting",\
180	"Dialog with fitting parameters ", self._onSelect]]
181	else:
182	if item.name==graph.selected_plottable :
183	if item.name !="$I_{obs}(q)$" and item.name !="$P_{fit}(r)$":
184	if hasattr(item, "group_id"):
185	if hasattr(item,"is_data"):
186	if item.is_data:
187	return [["Select data for fitting", \
188	"Dialog with fitting parameters ", self._onSelect]]
189	else:
190	return []
191	else:
192	return [["Select data for fitting", \
193	"Dialog with fitting parameters ", self._onSelect]]
194	return []
195
196
197	def get_panels(self, parent):
198	"""
199	Create and return a list of panel objects
200	"""
201	self.parent = parent
202	# Creation of the fit panel
203	self.fit_panel = FitPanel(self.parent, -1)
204	#Set the manager for the main panel
205	self.fit_panel.set_manager(self)
206	# List of windows used for the perspective
207	self.perspective = []
208	self.perspective.append(self.fit_panel.window_name)
209	# take care of saving data, model and page associated with each other
210	self.page_finder = {}
211	#index number to create random model name
212	self.index_model = 0
213	self.index_theory= 0
214	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
215	self.parent.Bind( ERR_DATA, self._on_data_error)
216	self.parent.Bind(EVT_REMOVE_DATA, self._closed_fitpage)
217	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
218	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
219
220
221	#Send the fitting panel to guiframe
222	self.mypanels.append(self.fit_panel)
223	return self.mypanels
224
225
226
227	def get_perspective(self):
228	"""
229	Get the list of panel names for this perspective
230	"""
231	return self.perspective
232
233
234	def on_perspective(self, event):
235	"""
236	Call back function for the perspective menu item.
237	We notify the parent window that the perspective
238	has changed.
239	"""
240	self.parent.set_perspective(self.perspective)
241
242
243	def post_init(self):
244	"""
245	Post initialization call back to close the loose ends
246	[Somehow openGL needs this call]
247	"""
248	self.parent.set_perspective(self.perspective)
249
250
251	def copy_data(self, item, dy=None):
252	"""
253	receive a data 1D and the list of errors on dy
254	and create a new data1D data
255	@param return
256	"""
257	detector=None
258	source=None
259	info = None
260	id=None
261	dxl=None
262	dxw=None
263	dx=None
264	if hasattr(item, "dxl"):
265	dxl = copy.deepcopy(item.dxl)
266	if hasattr(item, "dxw"):
267	dxw = copy.deepcopy(item.dxw)
268	if hasattr(item, "detector"):
269	detector = copy.deepcopy(item.detector)
270	if hasattr(item, "source"):
271	source = copy.deepcopy(item.source)
272	if hasattr(item ,"info"):
273	info= copy.deepcopy(item.info)
274	if hasattr(item,"id"):
275	id = copy.deepcopy(item.id)
276	if hasattr(item, "dx"):
277	dx= item.dx
278
279
280	data= dataFitting.Data1D(x=item.x, y=item.y,dx=dx, dy=dy, dxl=dxl, dxw=dxw)
281
282	data.name = item.name
283	data.detector = detector
284	data.source = source
285	## allow to highlight data when plotted
286	data.interactive = copy.deepcopy(item.interactive)
287	## when 2 data have the same id override the 1 st plotted
288	data.id = id
289	## info is a reference to output of dataloader that can be used
290	## to save data 1D as cansas xml file
291	data.info= info
292	## If the data file does not tell us what the axes are, just assume...
293	data.xaxis(copy.deepcopy(item._xaxis),copy.deepcopy(item._xunit))
294	data.yaxis(copy.deepcopy(item._yaxis),copy.deepcopy(item._yunit))
295	##group_id specify on which panel to plot this data
296	data.group_id = copy.deepcopy(item.group_id)
297	return data
298
299	def set_fit_range(self, page, qmin, qmax):
300	"""
301	Set the fitting range of a given page
302	"""
303	if page in self.page_finder.iterkeys():
304	fitproblem= self.page_finder[page]
305	fitproblem.set_range(qmin= qmin, qmax= qmax)
306
307	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
308	"""
309	Set the fit problem field to 0 or 1 to schedule that problem to fit.
310	Schedule the specified fitproblem or get the fit problem related to
311	the current page and set value.
312	@param value : integer 0 or 1
313	@param fitproblem: fitproblem to schedule or not to fit
314	"""
315	if fitproblem !=None:
316	fitproblem.schedule_tofit(value)
317	else:
318	if page in self.page_finder.iterkeys():
319	fitproblem= self.page_finder[page]
320	fitproblem.schedule_tofit(value)
321
322
323
324	def get_page_finder(self):
325	""" @return self.page_finder used also by simfitpage.py"""
326	return self.page_finder
327
328
329	def set_page_finder(self,modelname,names,values):
330	"""
331	Used by simfitpage.py to reset a parameter given the string constrainst.
332	@param modelname: the name ot the model for with the parameter has to reset
333	@param value: can be a string in this case.
334	@param names: the paramter name
335	@note: expecting park used for fit.
336	"""
337	sim_page= self.sim_page
338	for page, value in self.page_finder.iteritems():
339	if page != sim_page:
340	list=value.get_model()
341	model = list[0]
342	if model.name== modelname:
343	value.set_model_param(names,values)
344	break
345
346
347
348	def split_string(self,item):
349	"""
350	receive a word containing dot and split it. used to split parameterset
351	name into model name and parameter name example:
352	paramaterset (item) = M1.A
353	@return model_name =M1 , parameter name =A
354	"""
355	if string.find(item,".")!=-1:
356	param_names= re.split("\.",item)
357	model_name=param_names[0]
358	param_name=param_names[1]
359	return model_name,param_name
360
361
362	def stop_fit(self):
363	"""
364	Stop the fit engine
365	"""
366	if self.calc_fit!= None and self.calc_fit.isrunning():
367	self.calc_fit.stop()
368	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
369	is cancelled" , type="stop"))
370
371
372
373	def set_smearer(self,smearer, qmin=None, qmax=None):
374	"""
375	Get a smear object and store it to a fit problem
376	@param smearer: smear object to allow smearing data
377	"""
378	current_pg=self.fit_panel.get_current_page()
379	self.page_finder[current_pg].set_smearer(smearer)
380	## draw model 1D with smeared data
381	data = self.page_finder[current_pg].get_plotted_data()
382	model = self.page_finder[current_pg].get_model()
383	## if user has already selected a model to plot
384	## redraw the model with data smeared
385
386	smear =self.page_finder[current_pg].get_smearer()
387	self.draw_model( model=model, data= data, smearer= smear,
388	qmin= qmin, qmax= qmax)
389
390
391
392	def draw_model(self, model, data= None,smearer= None,
393	enable1D= True, enable2D= False,
394	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
395	"""
396	Draw model.
397	@param model: the model to draw
398	@param name: the name of the model to draw
399	@param data: the data on which the model is based to be drawn
400	@param description: model's description
401	@param enable1D: if true enable drawing model 1D
402	@param enable2D: if true enable drawing model 2D
403	@param qmin: Range's minimum value to draw model
404	@param qmax: Range's maximum value to draw model
405	@param qstep: number of step to divide the x and y-axis
406
407	"""
408	## draw model 1D with no loaded data
409	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
410	qmin= qmin, qmax= qmax, qstep= qstep )
411	## draw model 2D with no initial data
412	self._draw_model2D(model=model,
413	data = data,
414	enable2D= enable2D,
415	qmin=qmin,
416	qmax=qmax,
417	qstep=qstep)
418
419
420
421	def onFit(self):
422	"""
423	perform fit
424	"""
425	## count the number of fitproblem schedule to fit
426	fitproblem_count= 0
427	for value in self.page_finder.itervalues():
428	if value.get_scheduled()==1:
429	fitproblem_count += 1
430
431	## if simultaneous fit change automatically the engine to park
432	if fitproblem_count >1:
433	self._on_change_engine(engine='park')
434
435	from sans.fit.Fitting import Fit
436	self.fitter= Fit(self._fit_engine)
437
438	if self._fit_engine=="park":
439	engineType="Simultaneous Fit"
440	else:
441	engineType="Single Fit"
442
443	fproblemId = 0
444	current_pg=None
445	for page, value in self.page_finder.iteritems():
446	try:
447	if value.get_scheduled()==1:
448	#Get list of parameters name to fit
449	pars = []
450	templist = []
451	templist = page.get_param_list()
452	for element in templist:
453	name = str(element[1])
454	pars.append(name)
455	#Set Engine (model , data) related to the page on
456	self._fit_helper( current_pg=page, value=value,pars=pars,
457	id=fproblemId, title= engineType )
458	fproblemId += 1
459	current_pg= page
460	except:
461	msg= "%s error: %s" % (engineType,sys.exc_value)
462	wx.PostEvent(self.parent, StatusEvent(status= msg ))
463	return
464	#Do the simultaneous fit
465	try:
466	## If a thread is already started, stop it
467	if self.calc_fit!= None and self.calc_fit.isrunning():
468	self.calc_fit.stop()
469
470	wx.PostEvent(self.parent, StatusEvent(status="Start the computation",
471	curr_thread=self.calc_fit,type="start"))
472	wx.PostEvent(self.parent, StatusEvent(status="Computing...",
473	curr_thread=self.calc_fit,type="progress"))
474	## perform single fit
475	if self._fit_engine=="scipy":
476	qmin, qmax= current_pg.get_range()
477	self.calc_fit=FitThread(parent =self.parent,
478	fn= self.fitter,
479	cpage=current_pg,
480	pars= pars,
481	completefn= self._single_fit_completed,
482	updatefn=self._updateFit)
483
484	else:
485	## Perform more than 1 fit at the time
486	self.calc_fit=FitThread(parent =self.parent,
487	fn= self.fitter,
488	completefn= self._simul_fit_completed,
489	updatefn=self._updateFit)
490	self.calc_fit.queue()
491	self.calc_fit.ready(2.5)
492
493	except FitAbort:
494	print "in pluging"
495	except:
496	msg= "%s error: %s" % (engineType,sys.exc_value)
497	wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
498	return
499
500
501
502	def _onEVT_SLICER_PANEL(self, event):
503	"""
504	receive and event telling to update a panel with a name starting with
505	event.panel_name. this method update slicer panel for a given interactor.
506	@param event: contains type of slicer , paramaters for updating the panel
507	and panel_name to find the slicer 's panel concerned.
508	"""
509
510	for item in self.parent.panels:
511	if self.parent.panels[item].window_caption.startswith(event.panel_name):
512	self.parent.panels[item].set_slicer(event.type, event.params)
513
514	self.parent._mgr.Update()
515
516
517
518	def _closed_fitpage(self, event):
519	"""
520	request fitpanel to close a given page when its unique data is removed
521	from the plot
522	"""
523	self.fit_panel._close_fitpage(event.data)
524
525
526	def _add_page_onmenu(self, name,fitproblem=None):
527	"""
528	Add name of a closed page of fitpanel in a menu
529	"""
530	list = self.menu1.GetMenuItems()
531	for item in list:
532	if name == item.GetItemLabel():
533	self.closed_page_dict[name][1] = fitproblem
534
535	if not name in self.closed_page_dict.keys():
536	# Post paramters
537	event_id = wx.NewId()
538	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
539	self.closed_page_dict[name]= [event_id, fitproblem]
540	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
541
542
543	def _open_closed_page(self, event):
544	"""
545	reopen a closed page
546	"""
547	for name, value in self.closed_page_dict.iteritems():
548	if event.GetId() in value:
549	id,fitproblem = value
550	if name !="Model":
551	data= fitproblem.get_fit_data()
552	page = self.fit_panel.add_fit_page(data= data,reset=True)
553	if fitproblem != None:
554	self.page_finder[page]=fitproblem
555	if self.sim_page != None:
556	self.sim_page.draw_page()
557
558	else:
559	model = fitproblem
560	self.fit_panel.add_model_page(model=model, topmenu=True,
561	reset= True)
562	break
563
564
565	def _reset_schedule_problem(self, value=0):
566	"""
567	unschedule or schedule all fitproblem to be fit
568	"""
569	for page, fitproblem in self.page_finder.iteritems():
570	fitproblem.schedule_tofit(value)
571
572	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
573	"""
574	helper for fitting
575	"""
576	metadata = value.get_fit_data()
577	model = value.get_model()
578	smearer = value.get_smearer()
579	qmin , qmax = value.get_range()
580	self.fit_id =id
581	#Create list of parameters for fitting used
582	templist=[]
583	pars=pars
584	try:
585	## create a park model and reset parameter value if constraint
586	## is given
587	new_model = Model(model)
588	param = value.get_model_param()
589	if len(param)>0:
590	for item in param:
591	param_value = item[1]
592	param_name = item[0]
593	## check if constraint
594	if param_value !=None and param_name != None:
595	new_model.parameterset[ param_name].set( param_value )
596
597	#Do the single fit
598	self.fitter.set_model(new_model, self.fit_id, pars)
599
600	self.fitter.set_data(data=metadata,Uid=self.fit_id,
601	smearer=smearer,qmin= qmin,qmax=qmax )
602
603	self.fitter.select_problem_for_fit(Uid= self.fit_id,
604	value= value.get_scheduled())
605	value.clear_model_param()
606	except:
607	msg= title +" error: %s" % sys.exc_value
608	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
609	return
610
611	def _onSelect(self,event):
612	"""
613	when Select data to fit a new page is created .Its reference is
614	added to self.page_finder
615	"""
616	self.panel = event.GetEventObject()
617	Plugin.on_perspective(self,event=event)
618	for plottable in self.panel.graph.plottables:
619	if plottable.name == self.panel.graph.selected_plottable:
620	#if not hasattr(plottable, "is_data"):
621
622	if plottable.__class__.__name__=="Theory1D":
623	dy=numpy.zeros(len(plottable.y))
624	if hasattr(plottable, "dy"):
625	dy= copy.deepcopy(plottable.dy)
626
627	item= self.copy_data(plottable, dy)
628	item.group_id += "data1D"
629	item.id +="data1D"
630	item.is_data= False
631	title = item.name
632	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
633	else:
634	item= self.copy_data(plottable, plottable.dy)
635	item.is_data=True
636
637	## put the errors values back to the model if the errors were hiden
638	## before sending them to the fit engine
639	if len(self.err_dy)>0:
640	if item.name in self.err_dy.iterkeys():
641	dy= self.err_dy[item.name]
642	data= self.copy_data(item, dy)
643	data.is_data= item.is_data
644	else:
645	data= self.copy_data(item, item.dy)
646	data.is_data= item.is_data
647
648
649	else:
650	if item.dy==None:
651	dy= numpy.zeros(len(item.y))
652	data= self.copy_data(item, dy)
653	data.is_data=item.is_data
654	else:
655	data= self.copy_data(item,item.dy)
656	data.is_data=item.is_data
657
658	else:
659	if plottable.__class__.__name__ !="Data2D":
660	return
661	## Data2D case
662	if not hasattr(plottable, "is_data"):
663	item= copy.deepcopy(plottable)
664	item.group_id += "data2D"
665	item.id +="data2D"
666	item.is_data= False
667	title = item.name
668	title += " Fit"
669	data = item
670	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
671	else:
672	item= copy.deepcopy(plottable )
673	data= copy.deepcopy(plottable )
674	item.is_data=True
675	data.is_data=True
676
677	## create anew page
678	if item.name == self.panel.graph.selected_plottable or\
679	item.__class__.__name__ is "Data2D":
680	try:
681	page = self.fit_panel.add_fit_page(data)
682	# add data associated to the page created
683	if page !=None:
684	#create a fitproblem storing all link to data,model,page creation
685	if not page in self.page_finder.keys():
686	self.page_finder[page]= FitProblem()
687	## item is almost the same as data but contains
688	## axis info for plotting
689	self.page_finder[page].add_plotted_data(item)
690	self.page_finder[page].add_fit_data(data)
691
692	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
693	else:
694	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
695	except:
696	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
697	%sys.exc_value))
698	return
699
700
701	def _updateFit(self):
702	"""
703	Is called when values of result are available
704	"""
705	##Sending a progess message to the status bar
706	wx.PostEvent(self.parent, StatusEvent(status="Computing..."))
707
708	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
709	"""
710	Display fit result on one page of the notebook.
711	@param result: result of fit
712	@param pars: list of names of parameters fitted
713	@param current_pg: the page where information will be displayed
714	@param qmin: the minimum value of x to replot the model
715	@param qmax: the maximum value of x to replot model
716
717	"""
718	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
719	complete! " ))
720
721	try:
722	if result ==None:
723	msg= "Simple Fitting Stop !!!"
724	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
725	return
726	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
727	msg= "Single Fitting did not converge!!!"
728	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
729	return
730	for page, value in self.page_finder.iteritems():
731	if page==cpage :
732	model= value.get_model()
733	break
734	i = 0
735	for name in pars:
736	if result.pvec.__class__==numpy.float64:
737	model.setParam(name,result.pvec)
738	else:
739	model.setParam(name,result.pvec[i])
740	i += 1
741	## Reset values of the current page to fit result
742	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
743	## plot the current model with new param
744	metadata = self.page_finder[cpage].get_fit_data()
745	model = self.page_finder[cpage].get_model()
746	qmin, qmax= self.page_finder[cpage].get_range()
747	smearer =self.page_finder[cpage].get_smearer()
748	#Replot models
749	msg= "Single Fit completed. plotting... %s:"%model.name
750	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
751	self.draw_model( model=model, data= metadata, smearer= smearer,
752	qmin= qmin, qmax= qmax)
753	wx.PostEvent(self.parent, StatusEvent(status=" " , type="stop"))
754	except:
755	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
756	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
757	return
758
759
760	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
761	"""
762	Parameter estimation completed,
763	display the results to the user
764	@param alpha: estimated best alpha
765	@param elapsed: computation time
766	"""
767	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit complete "))
768
769	## fit more than 1 model at the same time
770	try:
771	if result ==None:
772	msg= "Complex Fitting Stop !!!"
773	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
774	return
775	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
776	msg= "Single Fitting did not converge!!!"
777	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
778	return
779	for page, value in self.page_finder.iteritems():
780	if value.get_scheduled()==1:
781	model = value.get_model()
782	metadata = value.get_plotted_data()
783	small_out = []
784	small_cov = []
785	i = 0
786	#Separate result in to data corresponding to each page
787	for p in result.parameters:
788	model_name,param_name = self.split_string(p.name)
789	if model.name == model_name:
790	p_name= model.name+"."+param_name
791	if p.name == p_name:
792	small_out.append(p.value )
793	model.setParam(param_name,p.value)
794
795	small_cov.append(p.stderr)
796	else:
797	value= model.getParam(param_name)
798	small_out.append(value )
799	small_cov.append(None)
800	# Display result on each page
801	page.onsetValues(result.fitness, small_out,small_cov)
802	#Replot models
803	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
804	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
805	qmin, qmax= page.get_range()
806	smearer =self.page_finder[page].get_smearer()
807	self.draw_model( model=model, data= metadata, smearer=smearer,
808	qmin= qmin, qmax= qmax)
809	wx.PostEvent(self.parent, StatusEvent(status="", type="stop"))
810	except:
811	msg= "Simultaneous Fit completed"
812	msg +=" but Following error occurred:%s"%sys.exc_value
813	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
814	return
815
816
817
818	def _on_show_panel(self, event):
819	print "_on_show_panel: fitting"
820
821
822	def _onset_engine_park(self,event):
823	"""
824	set engine to park
825	"""
826	self._on_change_engine('park')
827
828
829	def _onset_engine_scipy(self,event):
830	"""
831	set engine to scipy
832	"""
833	self._on_change_engine('scipy')
834
835	def _on_slicer_event(self, event):
836	"""
837	Receive a panel as event and send it to guiframe
838	@param event: event containing a panel
839	"""
840
841	if event.panel!=None:
842	new_panel = event.panel
843	self.slicer_panels.append(event.panel)
844	# Set group ID if available
845	event_id = self.parent.popup_panel(new_panel)
846	#self.menu3.Append(event_id, new_panel.window_caption,
847	# "Show %s plot panel" % new_panel.window_caption)
848	# Set UID to allow us to reference the panel later
849
850	new_panel.uid = event_id
851	self.mypanels.append(new_panel)
852	return
853
854	def _onclearslicer(self, event):
855	"""
856	Clear the boxslicer when close the panel associate with this slicer
857	"""
858	name =event.GetPane().caption
859
860	for panel in self.slicer_panels:
861	if panel.window_caption==name:
862
863	for item in self.parent.panels:
864	if hasattr(self.parent.panels[item],"uid"):
865	if self.parent.panels[item].uid ==panel.base.uid:
866	self.parent.panels[item].onClearSlicer(event)
867	self.parent._mgr.Update()
868	break
869	break
870
871
872
873
874	def _return_engine_type(self):
875	"""
876	return the current type of engine
877	"""
878	return self._fit_engine
879
880
881	def _on_change_engine(self, engine='park'):
882	"""
883	Allow to select the type of engine to perform fit
884	@param engine: the key work of the engine
885	"""
886	## saving fit engine name
887	self._fit_engine = engine
888	## change menu item state
889	if engine=="park":
890	self.menu1.FindItemByPosition(0).Check(False)
891	self.menu1.FindItemByPosition(1).Check(True)
892	else:
893	self.menu1.FindItemByPosition(0).Check(True)
894	self.menu1.FindItemByPosition(1).Check(False)
895
896	## post a message to status bar
897	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
898
899	## Bind every open fit page with a newevent to know the current fitting engine
900	import fitpage
901	event= fitpage.FitterTypeEvent()
902	event.type = self._fit_engine
903	for key in self.page_finder.keys():
904	wx.PostEvent(key, event)
905
906
907	def _on_model_panel(self, evt):
908	"""
909	react to model selection on any combo box or model menu.plot the model
910	@param evt: wx.combobox event
911	"""
912	model = evt.model
913
914	if model ==None:
915	return
916
917	current_pg = self.fit_panel.get_current_page()
918	## make sure nothing is done on self.sim_page
919	## example trying to call set_panel on self.sim_page
920	if current_pg != self.sim_page :
921
922	if self.page_finder[current_pg].get_model()== None :
923
924	model.name="M"+str(self.index_model)
925	self.index_model += 1
926	else:
927	model.name= self.page_finder[current_pg].get_model().name
928
929	metadata = self.page_finder[current_pg].get_plotted_data()
930
931	# save the name containing the data name with the appropriate model
932	self.page_finder[current_pg].set_model(model)
933	qmin, qmax= current_pg.get_range()
934	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
935	smearer= self.page_finder[current_pg].get_smearer()
936	# save model name
937	self.draw_model( model=model,smearer=smearer,
938	data= metadata, qmin=qmin, qmax=qmax)
939
940	if self.sim_page!=None:
941	self.sim_page.draw_page()
942
943
944
945	def _on_model_menu(self, evt):
946	"""
947	Plot a theory from a model selected from the menu
948	@param evt: wx.menu event
949	"""
950	model = evt.model
951	Plugin.on_perspective(self,event=evt)
952	# Create a model page. If a new page is created, the model
953	# will be plotted automatically. If a page already exists,
954	# the content will be updated and the plot refreshed
955	self.fit_panel.add_model_page(model,topmenu=True)
956
957
958
959
960	def _update1D(self,x, output):
961	"""
962	Update the output of plotting model 1D
963	"""
964	wx.PostEvent(self.parent, StatusEvent(status="Plot \
965	#updating ... ",type="update"))
966	self.calc_thread.ready(0.01)
967
968
969	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
970	"""
971	fill Data2D with default value
972	@param theory: Data2D to fill
973	"""
974	from DataLoader.data_info import Detector, Source
975
976	detector = Detector()
977	theory.detector.append(detector)
978
979	theory.detector[0].distance=1e+32
980	theory.source= Source()
981	theory.source.wavelength=2*math.pi/1e+32
982
983	## Create detector for Model 2D
984	xmax=2theory.detector[0].distancemath.atan(\
985	qmax/(4*math.pi/theory.source.wavelength))
986
987	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
988	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
989	theory.detector[0].beam_center.x= qmax
990	theory.detector[0].beam_center.y= qmax
991	## create x_bins and y_bins of the model 2D
992	distance = theory.detector[0].distance
993	pixel = qstep/2-1
994	theta = pixel / distance / qstep#100.0
995	wavelength = theory.source.wavelength
996	pixel_width_x = theory.detector[0].pixel_size.x
997	pixel_width_y = theory.detector[0].pixel_size.y
998	center_x = theory.detector[0].beam_center.x/pixel_width_x
999	center_y = theory.detector[0].beam_center.y/pixel_width_y
1000
1001
1002	size_x, size_y= numpy.shape(theory.data)
1003	for i_x in range(size_x):
1004	theta = (i_x-center_x)*pixel_width_x / distance
1005	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
1006	theory.x_bins.append(qx)
1007	for i_y in range(size_y):
1008	theta = (i_y-center_y)*pixel_width_y / distance
1009	qy =4.0math.pi/wavelength math.tan(theta/2.0)
1010	theory.y_bins.append(qy)
1011
1012	theory.group_id ="Model"
1013	theory.id ="Model"
1014	## determine plot boundaries
1015	theory.xmin= -qmax
1016	theory.xmax= qmax
1017	theory.ymin= -qmax
1018	theory.ymax= qmax
1019
1020
1021	def _get_plotting_info(self, data=None):
1022	"""
1023	get plotting info from data if data !=None
1024	else use some default
1025	"""
1026	my_info = PlotInfo()
1027	if data !=None:
1028	if hasattr(data,"info"):
1029	x_name, x_units = data.get_xaxis()
1030	y_name, y_units = data.get_yaxis()
1031
1032	my_info._xunit = x_units
1033	my_info._xaxis = x_name
1034	my_info._yunit = y_units
1035	my_info._yaxis = y_name
1036
1037	my_info.title= data.name
1038	if hasattr(data, "info"):
1039	my_info.info= data.info
1040	if hasattr(data, "group_id"):
1041	my_info.group_id= data.group_id
1042
1043	return my_info
1044
1045
1046	def _complete1D(self, x,y, elapsed,model,data=None):
1047	"""
1048	Complete plotting 1D data
1049	"""
1050
1051	try:
1052
1053	new_plot = Theory1D(x=x, y=y)
1054	my_info = self._get_plotting_info( data)
1055	new_plot.name = model.name
1056	new_plot.id = my_info.id
1057	new_plot.group_id = my_info.group_id
1058
1059	new_plot.xaxis( my_info._xaxis, my_info._xunit)
1060	new_plot.yaxis( my_info._yaxis, my_info._yunit)
1061	if data!=None:
1062	if new_plot.id == data.id:
1063	new_plot.id += "Model"
1064	new_plot.is_data =False
1065
1066	from DataLoader import data_info
1067	info= data_info.Data1D(x= new_plot.x, y=new_plot.y)
1068	info.title= new_plot.name
1069	title= my_info.title
1070	info.xaxis(new_plot._xaxis, new_plot._xunit)
1071	info.yaxis( new_plot._yaxis, new_plot._yunit)
1072	new_plot.info = info
1073	# Pass the reset flag to let the plotting event handler
1074	# know that we are replacing the whole plot
1075	if title== None:
1076	title = "Analytical model 1D "
1077	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1078	title= str(title), reset=True ))
1079	else:
1080	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1081	title= str(title)))
1082	msg = "Plot 1D complete !"
1083	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1084	except:
1085	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
1086	msg+= " %s"%sys.exc_value
1087	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
1088	return
1089
1090
1091
1092	def _update2D(self, output,time=None):
1093	"""
1094	Update the output of plotting model
1095	"""
1096	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1097	#updating ... ",type="update"))
1098	self.calc_thread.ready(0.01)
1099
1100
1101	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
1102	"""
1103	Complete get the result of modelthread and create model 2D
1104	that can be plot.
1105	"""
1106
1107
1108	err_image = numpy.zeros(numpy.shape(image))
1109
1110	theory= Data2D(image= image , err_image= err_image)
1111	theory.name= model.name
1112
1113	if data ==None:
1114	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
1115
1116	else:
1117	theory.id= data.id+"Model"
1118	theory.group_id= data.name+"Model"
1119	theory.x_bins= data.x_bins
1120	theory.y_bins= data.y_bins
1121	theory.detector= data.detector
1122	theory.source= data.source
1123	theory.is_data =False
1124	## plot boundaries
1125	theory.ymin= data.ymin
1126	theory.ymax= data.ymax
1127	theory.xmin= data.xmin
1128	theory.xmax= data.xmax
1129
1130
1131	## plot
1132	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1133	title="Analytical model 2D ", reset=True ))
1134	msg = "Plot 2D complete !"
1135	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1136
1137	def _on_data_error(self, event):
1138	"""
1139	receives and event from plotting plu-gins to store the data name and
1140	their errors of y coordinates for 1Data hide and show error
1141	"""
1142	self.err_dy= event.err_dy
1143
1144
1145	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1146	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1147	"""
1148	draw model in 2D
1149	@param model: instance of the model to draw
1150	@param description: the description of the model
1151	@param enable2D: when True allows to draw model 2D
1152	@param qmin: the minimum value to draw model 2D
1153	@param qmax: the maximum value to draw model 2D
1154	@param qstep: the number of division of Qx and Qy of the model to draw
1155
1156	"""
1157	x= numpy.linspace(start= -1*qmax,
1158	stop= qmax,
1159	num= qstep,
1160	endpoint=True )
1161	y = numpy.linspace(start= -1*qmax,
1162	stop= qmax,
1163	num= qstep,
1164	endpoint=True )
1165	## use data info instead
1166	if data !=None:
1167	## check if data2D to plot
1168	if hasattr(data, "x_bins"):
1169	enable2D = True
1170	x= data.x_bins
1171	y= data.y_bins
1172
1173	if not enable2D:
1174	return
1175	try:
1176	from model_thread import Calc2D
1177	## If a thread is already started, stop it
1178	if self.calc_2D != None and self.calc_2D.isrunning():
1179	self.calc_2D.stop()
1180	self.calc_2D = Calc2D( x= x,
1181	y= y,
1182	model= model,
1183	data = data,
1184	qmin= qmin,
1185	qmax= qmax,
1186	qstep= qstep,
1187	completefn= self._complete2D,
1188	updatefn= self._update2D )
1189	self.calc_2D.queue()
1190
1191	except:
1192	msg= " Error occurred when drawing %s Model 2D: "%model.name
1193	msg+= " %s"%sys.exc_value
1194	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1195	return
1196
1197	def _draw_model1D(self, model, data=None, smearer= None,
1198	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1199	"""
1200	Draw model 1D from loaded data1D
1201	@param data: loaded data
1202	@param model: the model to plot
1203	"""
1204
1205	x= numpy.linspace(start= qmin,
1206	stop= qmax,
1207	num= qstep,
1208	endpoint=True
1209	)
1210	if data!=None:
1211	## check for data2D
1212	if hasattr(data,"x_bins"):
1213	return
1214	x = data.x
1215	if qmin == DEFAULT_QMIN :
1216	qmin = min(data.x)
1217	if qmax == DEFAULT_QMAX:
1218	qmax = max(data.x)
1219
1220
1221	if not enable1D:
1222	return
1223
1224	try:
1225	from model_thread import Calc1D
1226	## If a thread is already started, stop it
1227	if self.calc_1D!= None and self.calc_1D.isrunning():
1228	self.calc_1D.stop()
1229	self.calc_1D= Calc1D( x= x,
1230	data = data,
1231	model= model,
1232	qmin = qmin,
1233	qmax = qmax,
1234	smearer = smearer,
1235	completefn = self._complete1D,
1236	updatefn = self._update1D )
1237	self.calc_1D.queue()
1238
1239	except:
1240	msg= " Error occurred when drawing %s Model 1D: "%model.name
1241	msg+= " %s"%sys.exc_value
1242	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1243	return
1244
1245
1246	if __name__ == "__main__":
1247	i = Plugin()
1248
1249
1250
1251

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 588f84f

Download in other formats: