fitting.py @ 848a2ef

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 848a2ef was 848a2ef, checked in by Gervaise Alina <gervyh@…>, 15 years ago
automatic clear of slicer when panel closed
Property mode set to `100644`
File size: 47.5 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	# Log startup
79	logging.info("Fitting plug-in started")
80	# model 2D view
81	self.model2D_id=None
82	#keep reference of the simultaneous fit page
83	self.sim_page=None
84	#dictionary containing data name and error on dy of that data
85	self.err_dy={}
86
87
88
89	def populate_menu(self, id, owner):
90	"""
91	Create a menu for the Fitting plug-in
92	@param id: id to create a menu
93	@param owner: owner of menu
94	@ return : list of information to populate the main menu
95	"""
96	#Menu for fitting
97	self.menu1 = wx.Menu()
98
99	#Set park engine
100	id3 = wx.NewId()
101	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
102	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
103	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
104
105	id3 = wx.NewId()
106	park_help = "Park Engine: Perform Complex fit. More in Help window...."
107	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
108	wx.EVT_MENU(owner, id3, self._onset_engine_park)
109
110	self.menu1.FindItemByPosition(0).Check(True)
111	self.menu1.FindItemByPosition(1).Check(False)
112
113	self.menu1.AppendSeparator()
114
115	id1 = wx.NewId()
116	simul_help = "Allow to edit fit engine with multiple model and data"
117	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
118	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
119
120	#menu for model
121	menu2 = wx.Menu()
122
123	self.menu_mng.populate_menu(menu2, owner)
124	id2 = wx.NewId()
125	owner.Bind(models.EVT_MODEL,self._on_model_menu)
126
127	self.fit_panel.set_owner(owner)
128	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
129	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
130
131	#create menubar items
132	return [(id, self.menu1, "Fitting"),
133	(id2, menu2, "Model")]
134
135
136	def on_add_sim_page(self, event):
137	"""
138	Create a page to access simultaneous fit option
139	"""
140	if self.sim_page !=None:
141	msg= "Simultaneous Fit page already opened"
142	wx.PostEvent(self.parent, StatusEvent(status= msg))
143	return
144
145	self.sim_page= self.fit_panel.add_sim_page()
146
147
148
149	def help(self, evt):
150	"""
151	Show a general help dialog.
152	TODO: replace the text with a nice image
153	"""
154	from helpPanel import HelpWindow
155	frame = HelpWindow(None, -1, 'HelpWindow')
156	frame.Show(True)
157
158
159	def get_context_menu(self, graph=None):
160	"""
161	Get the context menu items available for P(r)
162	@param graph: the Graph object to which we attach the context menu
163	@return: a list of menu items with call-back function
164	"""
165	#TODO: clean this up so that the string are not copied
166	# multiple times.
167	self.graph=graph
168	for item in graph.plottables:
169	if item.__class__.__name__ is "Data2D":
170	if hasattr(item,"is_data"):
171	if item.is_data:
172	return [["Select data for fitting", \
173	"Dialog with fitting parameters ", self._onSelect]]
174	else:
175	return []
176	return [["Select data for fitting",\
177	"Dialog with fitting parameters ", self._onSelect]]
178	else:
179	if item.name==graph.selected_plottable :
180	if hasattr(item, "group_id"):
181	if hasattr(item,"is_data"):
182	if item.is_data:
183	return [["Select data for fitting", \
184	"Dialog with fitting parameters ", self._onSelect]]
185	else:
186	return []
187	else:
188	return [["Select data for fitting", \
189	"Dialog with fitting parameters ", self._onSelect]]
190	return []
191
192
193	def get_panels(self, parent):
194	"""
195	Create and return a list of panel objects
196	"""
197	self.parent = parent
198	# Creation of the fit panel
199	self.fit_panel = FitPanel(self.parent, -1)
200	#Set the manager for the main panel
201	self.fit_panel.set_manager(self)
202	# List of windows used for the perspective
203	self.perspective = []
204	self.perspective.append(self.fit_panel.window_name)
205	# take care of saving data, model and page associated with each other
206	self.page_finder = {}
207	#index number to create random model name
208	self.index_model = 0
209	self.index_theory= 0
210	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
211	self.parent.Bind( ERR_DATA, self._on_data_error)
212	self.parent.Bind(EVT_REMOVE_DATA, self._closed_fitpage)
213	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
214
215	#Send the fitting panel to guiframe
216	self.mypanels.append(self.fit_panel)
217	return self.mypanels
218
219
220
221	def get_perspective(self):
222	"""
223	Get the list of panel names for this perspective
224	"""
225	return self.perspective
226
227
228	def on_perspective(self, event):
229	"""
230	Call back function for the perspective menu item.
231	We notify the parent window that the perspective
232	has changed.
233	"""
234	self.parent.set_perspective(self.perspective)
235
236
237	def post_init(self):
238	"""
239	Post initialization call back to close the loose ends
240	[Somehow openGL needs this call]
241	"""
242	self.parent.set_perspective(self.perspective)
243
244
245	def copy_data(self, item, dy=None):
246	"""
247	receive a data 1D and the list of errors on dy
248	and create a new data1D data
249	@param return
250	"""
251	detector=None
252	source=None
253	info = None
254	id=None
255	dxl=None
256	dxw=None
257	dx=None
258	if hasattr(item, "dxl"):
259	dxl = copy.deepcopy(item.dxl)
260	if hasattr(item, "dxw"):
261	dxw = copy.deepcopy(item.dxw)
262	if hasattr(item, "detector"):
263	detector = copy.deepcopy(item.detector)
264	if hasattr(item, "source"):
265	source = copy.deepcopy(item.source)
266	if hasattr(item ,"info"):
267	info= copy.deepcopy(item.info)
268	if hasattr(item,"id"):
269	id = copy.deepcopy(item.id)
270	if hasattr(item, "dx"):
271	dx= item.dx
272
273
274	data= dataFitting.Data1D(x=item.x, y=item.y,dx=dx, dy=dy, dxl=dxl, dxw=dxw)
275
276	data.name = item.name
277	data.detector = detector
278	data.source = source
279	## allow to highlight data when plotted
280	data.interactive = copy.deepcopy(item.interactive)
281	## when 2 data have the same id override the 1 st plotted
282	data.id = id
283	## info is a reference to output of dataloader that can be used
284	## to save data 1D as cansas xml file
285	data.info= info
286	## If the data file does not tell us what the axes are, just assume...
287	data.xaxis(copy.deepcopy(item._xaxis),copy.deepcopy(item._xunit))
288	data.yaxis(copy.deepcopy(item._yaxis),copy.deepcopy(item._yunit))
289	##group_id specify on which panel to plot this data
290	data.group_id = copy.deepcopy(item.group_id)
291	return data
292
293	def set_fit_range(self, page, qmin, qmax):
294	"""
295	Set the fitting range of a given page
296	"""
297	if page in self.page_finder.iterkeys():
298	fitproblem= self.page_finder[page]
299	fitproblem.set_range(qmin= qmin, qmax= qmax)
300
301	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
302	"""
303	Set the fit problem field to 0 or 1 to schedule that problem to fit.
304	Schedule the specified fitproblem or get the fit problem related to
305	the current page and set value.
306	@param value : integer 0 or 1
307	@param fitproblem: fitproblem to schedule or not to fit
308	"""
309	if fitproblem !=None:
310	fitproblem.schedule_tofit(value)
311	else:
312	if page in self.page_finder.iterkeys():
313	fitproblem= self.page_finder[page]
314	fitproblem.schedule_tofit(value)
315
316
317
318	def get_page_finder(self):
319	""" @return self.page_finder used also by simfitpage.py"""
320	return self.page_finder
321
322
323	def set_page_finder(self,modelname,names,values):
324	"""
325	Used by simfitpage.py to reset a parameter given the string constrainst.
326	@param modelname: the name ot the model for with the parameter has to reset
327	@param value: can be a string in this case.
328	@param names: the paramter name
329	@note: expecting park used for fit.
330	"""
331	sim_page= self.sim_page
332	for page, value in self.page_finder.iteritems():
333	if page != sim_page:
334	list=value.get_model()
335	model = list[0]
336	if model.name== modelname:
337	value.set_model_param(names,values)
338	break
339
340
341
342	def split_string(self,item):
343	"""
344	receive a word containing dot and split it. used to split parameterset
345	name into model name and parameter name example:
346	paramaterset (item) = M1.A
347	@return model_name =M1 , parameter name =A
348	"""
349	if string.find(item,".")!=-1:
350	param_names= re.split("\.",item)
351	model_name=param_names[0]
352	param_name=param_names[1]
353	return model_name,param_name
354
355
356	def stop_fit(self):
357	"""
358	Stop the fit engine
359	"""
360	if self.calc_fit!= None and self.calc_fit.isrunning():
361	self.calc_fit.stop()
362	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
363	is cancelled" , type="stop"))
364
365
366
367	def set_smearer(self,smearer, qmin=None, qmax=None):
368	"""
369	Get a smear object and store it to a fit problem
370	@param smearer: smear object to allow smearing data
371	"""
372	current_pg=self.fit_panel.get_current_page()
373	self.page_finder[current_pg].set_smearer(smearer)
374	## draw model 1D with smeared data
375	data = self.page_finder[current_pg].get_plotted_data()
376	model = self.page_finder[current_pg].get_model()
377	## if user has already selected a model to plot
378	## redraw the model with data smeared
379
380	smear =self.page_finder[current_pg].get_smearer()
381	self.draw_model( model=model, data= data, smearer= smear,
382	qmin= qmin, qmax= qmax)
383
384
385
386	def draw_model(self, model, data= None,smearer= None,
387	enable1D= True, enable2D= False,
388	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
389	"""
390	Draw model.
391	@param model: the model to draw
392	@param name: the name of the model to draw
393	@param data: the data on which the model is based to be drawn
394	@param description: model's description
395	@param enable1D: if true enable drawing model 1D
396	@param enable2D: if true enable drawing model 2D
397	@param qmin: Range's minimum value to draw model
398	@param qmax: Range's maximum value to draw model
399	@param qstep: number of step to divide the x and y-axis
400
401	"""
402	## draw model 1D with no loaded data
403	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
404	qmin= qmin, qmax= qmax, qstep= qstep )
405	## draw model 2D with no initial data
406	self._draw_model2D(model=model,
407	data = data,
408	enable2D= enable2D,
409	qmin=qmin,
410	qmax=qmax,
411	qstep=qstep)
412
413
414
415	def onFit(self):
416	"""
417	perform fit
418	"""
419	## count the number of fitproblem schedule to fit
420	fitproblem_count= 0
421	for value in self.page_finder.itervalues():
422	if value.get_scheduled()==1:
423	fitproblem_count += 1
424
425	## if simultaneous fit change automatically the engine to park
426	if fitproblem_count >1:
427	self._on_change_engine(engine='park')
428
429	from sans.fit.Fitting import Fit
430	self.fitter= Fit(self._fit_engine)
431
432	if self._fit_engine=="park":
433	engineType="Simultaneous Fit"
434	else:
435	engineType="Single Fit"
436
437	fproblemId = 0
438	current_pg=None
439	for page, value in self.page_finder.iteritems():
440	try:
441	if value.get_scheduled()==1:
442	#Get list of parameters name to fit
443	pars = []
444	templist = []
445	templist = page.get_param_list()
446	for element in templist:
447	name = str(element[1])
448	pars.append(name)
449	#Set Engine (model , data) related to the page on
450	self._fit_helper( current_pg=page, value=value,pars=pars,
451	id=fproblemId, title= engineType )
452	fproblemId += 1
453	current_pg= page
454	except:
455	msg= "%s error: %s" % (engineType,sys.exc_value)
456	wx.PostEvent(self.parent, StatusEvent(status= msg ))
457	return
458	#Do the simultaneous fit
459	try:
460	## If a thread is already started, stop it
461	if self.calc_fit!= None and self.calc_fit.isrunning():
462	self.calc_fit.stop()
463
464	wx.PostEvent(self.parent, StatusEvent(status="Start the computation",
465	curr_thread=self.calc_fit,type="start"))
466	wx.PostEvent(self.parent, StatusEvent(status="Computing...",
467	curr_thread=self.calc_fit,type="progress"))
468	## perform single fit
469	if self._fit_engine=="scipy":
470	qmin, qmax= current_pg.get_range()
471	self.calc_fit=FitThread(parent =self.parent,
472	fn= self.fitter,
473	cpage=current_pg,
474	pars= pars,
475	completefn= self._single_fit_completed,
476	updatefn=self._updateFit)
477
478	else:
479	## Perform more than 1 fit at the time
480	self.calc_fit=FitThread(parent =self.parent,
481	fn= self.fitter,
482	completefn= self._simul_fit_completed,
483	updatefn=self._updateFit)
484	self.calc_fit.queue()
485	self.calc_fit.ready(2.5)
486
487	except FitAbort:
488	print "in pluging"
489	except:
490	msg= "%s error: %s" % (engineType,sys.exc_value)
491	wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
492	return
493
494
495
496	def _onEVT_SLICER_PANEL(self, event):
497	"""
498	receive and event telling to update a panel with a name starting with
499	event.panel_name. this method update slicer panel for a given interactor.
500	@param event: contains type of slicer , paramaters for updating the panel
501	and panel_name to find the slicer 's panel concerned.
502	"""
503	for item in self.parent.panels:
504	if self.parent.panels[item].window_caption.startswith(event.panel_name):
505	self.parent.panels[item].set_slicer(event.type, event.params)
506	self.parent._mgr.Update()
507	break
508
509
510	def _closed_fitpage(self, event):
511	"""
512	request fitpanel to close a given page when its unique data is removed
513	from the plot
514	"""
515	self.fit_panel._close_fitpage(event.data)
516
517
518	def _add_page_onmenu(self, name,fitproblem=None):
519	"""
520	Add name of a closed page of fitpanel in a menu
521	"""
522	list = self.menu1.GetMenuItems()
523	for item in list:
524	if name == item.GetItemLabel():
525	self.closed_page_dict[name][1] = fitproblem
526
527	if not name in self.closed_page_dict.keys():
528	# Post paramters
529	event_id = wx.NewId()
530	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
531	self.closed_page_dict[name]= [event_id, fitproblem]
532	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
533
534
535	def _open_closed_page(self, event):
536	"""
537	reopen a closed page
538	"""
539	for name, value in self.closed_page_dict.iteritems():
540	if event.GetId() in value:
541	id,fitproblem = value
542	if name !="Model":
543	data= fitproblem.get_fit_data()
544	page = self.fit_panel.add_fit_page(data= data,reset=True)
545	if fitproblem != None:
546	self.page_finder[page]=fitproblem
547	if self.sim_page != None:
548	self.sim_page.draw_page()
549
550	else:
551	model = fitproblem
552	self.fit_panel.add_model_page(model=model, topmenu=True,
553	reset= True)
554	break
555
556
557	def _reset_schedule_problem(self, value=0):
558	"""
559	unschedule or schedule all fitproblem to be fit
560	"""
561	for page, fitproblem in self.page_finder.iteritems():
562	fitproblem.schedule_tofit(value)
563
564	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
565	"""
566	helper for fitting
567	"""
568	metadata = value.get_fit_data()
569	model = value.get_model()
570	smearer = value.get_smearer()
571	qmin , qmax = value.get_range()
572	self.fit_id =id
573	#Create list of parameters for fitting used
574	templist=[]
575	pars=pars
576	try:
577	## create a park model and reset parameter value if constraint
578	## is given
579	new_model = Model(model)
580	param = value.get_model_param()
581	if len(param)>0:
582	for item in param:
583	param_value = item[1]
584	param_name = item[0]
585	## check if constraint
586	if param_value !=None and param_name != None:
587	new_model.parameterset[ param_name].set( param_value )
588
589	#Do the single fit
590	self.fitter.set_model(new_model, self.fit_id, pars)
591
592	self.fitter.set_data(data=metadata,Uid=self.fit_id,
593	smearer=smearer,qmin= qmin,qmax=qmax )
594
595	self.fitter.select_problem_for_fit(Uid= self.fit_id,
596	value= value.get_scheduled())
597	value.clear_model_param()
598	except:
599	msg= title +" error: %s" % sys.exc_value
600	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
601	return
602
603	def _onSelect(self,event):
604	"""
605	when Select data to fit a new page is created .Its reference is
606	added to self.page_finder
607	"""
608	self.panel = event.GetEventObject()
609	for plottable in self.panel.graph.plottables:
610	if plottable.name == self.panel.graph.selected_plottable:
611	#if not hasattr(plottable, "is_data"):
612
613	if plottable.__class__.__name__=="Theory1D":
614	dy=numpy.zeros(len(plottable.y))
615	if hasattr(plottable, "dy"):
616	dy= copy.deepcopy(plottable.dy)
617
618	item= self.copy_data(plottable, dy)
619	item.group_id += "data1D"
620	item.id +="data1D"
621	item.is_data= False
622	title = item.name
623	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
624	else:
625	item= self.copy_data(plottable, plottable.dy)
626	item.is_data=True
627
628	## put the errors values back to the model if the errors were hiden
629	## before sending them to the fit engine
630	if len(self.err_dy)>0:
631	if item.name in self.err_dy.iterkeys():
632	dy= self.err_dy[item.name]
633	data= self.copy_data(item, dy)
634	data.is_data= item.is_data
635	else:
636	data= self.copy_data(item, item.dy)
637	data.is_data= item.is_data
638
639
640	else:
641	if item.dy==None:
642	dy= numpy.zeros(len(item.y))
643	data= self.copy_data(item, dy)
644	data.is_data=item.is_data
645	else:
646	data= self.copy_data(item,item.dy)
647	data.is_data=item.is_data
648
649	else:
650	if plottable.__class__.__name__ !="Data2D":
651	return
652	## Data2D case
653	if not hasattr(plottable, "is_data"):
654	item= copy.deepcopy(plottable)
655	item.group_id += "data2D"
656	item.id +="data2D"
657	item.is_data= False
658	title = item.name
659	title += " Fit"
660	data = item
661	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
662	else:
663	item= copy.deepcopy(plottable )
664	data= copy.deepcopy(plottable )
665	item.is_data=True
666	data.is_data=True
667
668	## create anew page
669	if item.name == self.panel.graph.selected_plottable or\
670	item.__class__.__name__ is "Data2D":
671	try:
672	page = self.fit_panel.add_fit_page(data)
673	# add data associated to the page created
674	if page !=None:
675	#create a fitproblem storing all link to data,model,page creation
676	if not page in self.page_finder.keys():
677	self.page_finder[page]= FitProblem()
678	## item is almost the same as data but contains
679	## axis info for plotting
680	self.page_finder[page].add_plotted_data(item)
681	self.page_finder[page].add_fit_data(data)
682
683	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
684	else:
685	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
686	except:
687	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
688	%sys.exc_value))
689	return
690
691
692	def _updateFit(self):
693	"""
694	Is called when values of result are available
695	"""
696	##Sending a progess message to the status bar
697	wx.PostEvent(self.parent, StatusEvent(status="Computing..."))
698
699	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
700	"""
701	Display fit result on one page of the notebook.
702	@param result: result of fit
703	@param pars: list of names of parameters fitted
704	@param current_pg: the page where information will be displayed
705	@param qmin: the minimum value of x to replot the model
706	@param qmax: the maximum value of x to replot model
707
708	"""
709	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
710	complete! " ))
711
712	try:
713	if result ==None:
714	msg= "Simple Fitting Stop !!!"
715	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
716	return
717	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
718	msg= "Single Fitting did not converge!!!"
719	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
720	return
721	for page, value in self.page_finder.iteritems():
722	if page==cpage :
723	model= value.get_model()
724	break
725	i = 0
726	for name in pars:
727	if result.pvec.__class__==numpy.float64:
728	model.setParam(name,result.pvec)
729	else:
730	model.setParam(name,result.pvec[i])
731	i += 1
732	## Reset values of the current page to fit result
733	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
734	## plot the current model with new param
735	metadata = self.page_finder[cpage].get_fit_data()
736	model = self.page_finder[cpage].get_model()
737	qmin, qmax= self.page_finder[cpage].get_range()
738	smearer =self.page_finder[cpage].get_smearer()
739	#Replot models
740	msg= "Single Fit completed. plotting... %s:"%model.name
741	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
742	self.draw_model( model=model, data= metadata, smearer= smearer,
743	qmin= qmin, qmax= qmax)
744	wx.PostEvent(self.parent, StatusEvent(status=" " , type="stop"))
745	except:
746	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
747	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
748	return
749
750
751	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
752	"""
753	Parameter estimation completed,
754	display the results to the user
755	@param alpha: estimated best alpha
756	@param elapsed: computation time
757	"""
758	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit complete "))
759
760	## fit more than 1 model at the same time
761	try:
762	if result ==None:
763	msg= "Complex Fitting Stop !!!"
764	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
765	return
766	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
767	msg= "Single Fitting did not converge!!!"
768	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
769	return
770	for page, value in self.page_finder.iteritems():
771	if value.get_scheduled()==1:
772	model = value.get_model()
773	metadata = value.get_plotted_data()
774	small_out = []
775	small_cov = []
776	i = 0
777	#Separate result in to data corresponding to each page
778	for p in result.parameters:
779	model_name,param_name = self.split_string(p.name)
780	if model.name == model_name:
781	p_name= model.name+"."+param_name
782	if p.name == p_name:
783	small_out.append(p.value )
784	model.setParam(param_name,p.value)
785
786	small_cov.append(p.stderr)
787	else:
788	value= model.getParam(param_name)
789	small_out.append(value )
790	small_cov.append(None)
791	# Display result on each page
792	page.onsetValues(result.fitness, small_out,small_cov)
793	#Replot models
794	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
795	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
796	qmin, qmax= page.get_range()
797	smearer =self.page_finder[page].get_smearer()
798	self.draw_model( model=model, data= metadata, smearer=smearer,
799	qmin= qmin, qmax= qmax)
800	wx.PostEvent(self.parent, StatusEvent(status="", type="stop"))
801	except:
802	msg= "Simultaneous Fit completed"
803	msg +=" but Following error occurred:%s"%sys.exc_value
804	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
805	return
806
807
808
809	def _on_show_panel(self, event):
810	print "_on_show_panel: fitting"
811
812
813	def _onset_engine_park(self,event):
814	"""
815	set engine to park
816	"""
817	self._on_change_engine('park')
818
819
820	def _onset_engine_scipy(self,event):
821	"""
822	set engine to scipy
823	"""
824	self._on_change_engine('scipy')
825
826	def _on_slicer_event(self, event):
827	"""
828	Receive a panel as event and send it to guiframe
829	@param event: event containing a panel
830	"""
831	if event.panel!=None:
832	new_panel = event.panel
833	self.main_panel= event.main_panel
834	# Set group ID if available
835	event_id = self.parent.popup_panel(new_panel)
836	#self.menu3.Append(event_id, new_panel.window_caption,
837	# "Show %s plot panel" % new_panel.window_caption)
838	# Set UID to allow us to reference the panel later
839	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,
840
841	self._onclearslicer)
842
843	new_panel.uid = event_id
844	self.mypanels.append(new_panel)
845	return
846
847	def _onclearslicer(self, event):
848	"""
849	Clear the boxslicer when close the panel associate with this slicer
850	"""
851	self.main_panel.onClearSlicer(event)
852
853
854
855	def _return_engine_type(self):
856	"""
857	return the current type of engine
858	"""
859	return self._fit_engine
860
861
862	def _on_change_engine(self, engine='park'):
863	"""
864	Allow to select the type of engine to perform fit
865	@param engine: the key work of the engine
866	"""
867	## saving fit engine name
868	self._fit_engine = engine
869	## change menu item state
870	if engine=="park":
871	self.menu1.FindItemByPosition(0).Check(False)
872	self.menu1.FindItemByPosition(1).Check(True)
873	else:
874	self.menu1.FindItemByPosition(0).Check(True)
875	self.menu1.FindItemByPosition(1).Check(False)
876
877	## post a message to status bar
878	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
879
880	## Bind every open fit page with a newevent to know the current fitting engine
881	import fitpage
882	event= fitpage.FitterTypeEvent()
883	event.type = self._fit_engine
884	for key in self.page_finder.keys():
885	wx.PostEvent(key, event)
886
887
888	def _on_model_panel(self, evt):
889	"""
890	react to model selection on any combo box or model menu.plot the model
891	@param evt: wx.combobox event
892	"""
893	model = evt.model
894
895	if model ==None:
896	return
897
898	current_pg = self.fit_panel.get_current_page()
899	## make sure nothing is done on self.sim_page
900	## example trying to call set_panel on self.sim_page
901	if current_pg != self.sim_page :
902
903	if self.page_finder[current_pg].get_model()== None :
904
905	model.name="M"+str(self.index_model)
906	self.index_model += 1
907	else:
908	model.name= self.page_finder[current_pg].get_model().name
909
910	metadata = self.page_finder[current_pg].get_plotted_data()
911
912	# save the name containing the data name with the appropriate model
913	self.page_finder[current_pg].set_model(model)
914	qmin, qmax= current_pg.get_range()
915	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
916	smearer= self.page_finder[current_pg].get_smearer()
917	# save model name
918	self.draw_model( model=model,smearer=smearer,
919	data= metadata, qmin=qmin, qmax=qmax)
920
921	if self.sim_page!=None:
922	self.sim_page.draw_page()
923
924
925
926	def _on_model_menu(self, evt):
927	"""
928	Plot a theory from a model selected from the menu
929	@param evt: wx.menu event
930	"""
931	model = evt.model
932
933	# Create a model page. If a new page is created, the model
934	# will be plotted automatically. If a page already exists,
935	# the content will be updated and the plot refreshed
936	self.fit_panel.add_model_page(model,topmenu=True)
937
938
939
940
941	def _update1D(self,x, output):
942	"""
943	Update the output of plotting model 1D
944	"""
945	wx.PostEvent(self.parent, StatusEvent(status="Plot \
946	#updating ... ",type="update"))
947	self.calc_thread.ready(0.01)
948
949	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
950	"""
951	fill Data2D with default value
952	@param theory: Data2D to fill
953	"""
954	from DataLoader.data_info import Detector, Source
955
956	detector = Detector()
957	theory.detector.append(detector)
958
959	theory.detector[0].distance=1e+32
960	theory.source= Source()
961	theory.source.wavelength=2*math.pi/1e+32
962
963	## Create detector for Model 2D
964	xmax=2theory.detector[0].distancemath.atan(\
965	qmax/(4*math.pi/theory.source.wavelength))
966
967	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
968	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
969	theory.detector[0].beam_center.x= qmax
970	theory.detector[0].beam_center.y= qmax
971	## create x_bins and y_bins of the model 2D
972	distance = theory.detector[0].distance
973	pixel = qstep/2-1
974	theta = pixel / distance / qstep#100.0
975	wavelength = theory.source.wavelength
976	pixel_width_x = theory.detector[0].pixel_size.x
977	pixel_width_y = theory.detector[0].pixel_size.y
978	center_x = theory.detector[0].beam_center.x/pixel_width_x
979	center_y = theory.detector[0].beam_center.y/pixel_width_y
980
981
982	size_x, size_y= numpy.shape(theory.data)
983	for i_x in range(size_x):
984	theta = (i_x-center_x)*pixel_width_x / distance
985	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
986	theory.x_bins.append(qx)
987	for i_y in range(size_y):
988	theta = (i_y-center_y)*pixel_width_y / distance
989	qy =4.0math.pi/wavelength math.tan(theta/2.0)
990	theory.y_bins.append(qy)
991
992	theory.group_id ="Model"
993	theory.id ="Model"
994	## determine plot boundaries
995	theory.xmin= -qmax
996	theory.xmax= qmax
997	theory.ymin= -qmax
998	theory.ymax= qmax
999
1000
1001	def _get_plotting_info(self, data=None):
1002	"""
1003	get plotting info from data if data !=None
1004	else use some default
1005	"""
1006	my_info = PlotInfo()
1007	if data !=None:
1008	if hasattr(data,"info"):
1009	x_name, x_units = data.get_xaxis()
1010	y_name, y_units = data.get_yaxis()
1011
1012	my_info._xunit = x_units
1013	my_info._xaxis = x_name
1014	my_info._yunit = y_units
1015	my_info._yaxis = y_name
1016
1017	my_info.title= data.name
1018	if hasattr(data, "info"):
1019	my_info.info= data.info
1020	if hasattr(data, "group_id"):
1021	my_info.group_id= data.group_id
1022
1023	return my_info
1024
1025	def _complete1D(self, x,y, elapsed,model,data=None):
1026	"""
1027	Complete plotting 1D data
1028	"""
1029
1030	try:
1031
1032	new_plot = Theory1D(x=x, y=y)
1033	my_info = self._get_plotting_info( data)
1034	new_plot.name = model.name
1035	new_plot.id = my_info.id
1036	new_plot.group_id = my_info.group_id
1037
1038	new_plot.xaxis( my_info._xaxis, my_info._xunit)
1039	new_plot.yaxis( my_info._yaxis, my_info._yunit)
1040	if data!=None:
1041	if new_plot.id == data.id:
1042	new_plot.id += "Model"
1043	new_plot.is_data =False
1044
1045	from DataLoader import data_info
1046	info= data_info.Data1D(x= new_plot.x, y=new_plot.y)
1047	info.title= new_plot.name
1048	title= my_info.title
1049	info.xaxis(new_plot._xaxis, new_plot._xunit)
1050	info.yaxis( new_plot._yaxis, new_plot._yunit)
1051	new_plot.info = info
1052	# Pass the reset flag to let the plotting event handler
1053	# know that we are replacing the whole plot
1054	if title== None:
1055	title = "Analytical model 1D "
1056	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1057	title= str(title), reset=True ))
1058	else:
1059	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1060	title= str(title)))
1061	msg = "Plot 1D complete !"
1062	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1063	except:
1064	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
1065	msg+= " %s"%sys.exc_value
1066	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
1067	return
1068
1069
1070
1071
1072	def _update2D(self, output,time=None):
1073	"""
1074	Update the output of plotting model
1075	"""
1076	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1077	#updating ... ",type="update"))
1078	self.calc_thread.ready(0.01)
1079
1080
1081	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
1082	"""
1083	Complete get the result of modelthread and create model 2D
1084	that can be plot.
1085	"""
1086
1087
1088	err_image = numpy.zeros(numpy.shape(image))
1089
1090	theory= Data2D(image= image , err_image= err_image)
1091	theory.name= model.name
1092
1093	if data ==None:
1094	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
1095
1096	else:
1097	theory.id= data.id+"Model"
1098	theory.group_id= data.name+"Model"
1099	theory.x_bins= data.x_bins
1100	theory.y_bins= data.y_bins
1101	theory.detector= data.detector
1102	theory.source= data.source
1103	theory.is_data =False
1104	## plot boundaries
1105	theory.ymin= data.ymin
1106	theory.ymax= data.ymax
1107	theory.xmin= data.xmin
1108	theory.xmax= data.xmax
1109
1110
1111	## plot
1112	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1113	title="Analytical model 2D ", reset=True ))
1114	msg = "Plot 2D complete !"
1115	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1116
1117	def _on_data_error(self, event):
1118	"""
1119	receives and event from plotting plu-gins to store the data name and
1120	their errors of y coordinates for 1Data hide and show error
1121	"""
1122	self.err_dy= event.err_dy
1123
1124	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1125	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1126	"""
1127	draw model in 2D
1128	@param model: instance of the model to draw
1129	@param description: the description of the model
1130	@param enable2D: when True allows to draw model 2D
1131	@param qmin: the minimum value to draw model 2D
1132	@param qmax: the maximum value to draw model 2D
1133	@param qstep: the number of division of Qx and Qy of the model to draw
1134
1135	"""
1136
1137	x= numpy.linspace(start= -1*qmax,
1138	stop= qmax,
1139	num= qstep,
1140	endpoint=True )
1141	y = numpy.linspace(start= -1*qmax,
1142	stop= qmax,
1143	num= qstep,
1144	endpoint=True )
1145	## use data info instead
1146	if data !=None:
1147	## check if data2D to plot
1148	if hasattr(data, "x_bins"):
1149	enable2D = True
1150	x= data.x_bins
1151	y= data.y_bins
1152
1153	if not enable2D:
1154	return
1155	try:
1156	from model_thread import Calc2D
1157	## If a thread is already started, stop it
1158	if self.calc_2D != None and self.calc_2D.isrunning():
1159	self.calc_2D.stop()
1160	self.calc_2D = Calc2D( x= x,
1161	y= y,
1162	model= model,
1163	data = data,
1164	qmin= qmin,
1165	qmax= qmax,
1166	qstep= qstep,
1167	completefn= self._complete2D,
1168	updatefn= self._update2D )
1169	self.calc_2D.queue()
1170
1171	except:
1172	msg= " Error occurred when drawing %s Model 2D: "%model.name
1173	msg+= " %s"%sys.exc_value
1174	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1175	return
1176
1177	def _draw_model1D(self, model, data=None, smearer= None,
1178	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1179	"""
1180	Draw model 1D from loaded data1D
1181	@param data: loaded data
1182	@param model: the model to plot
1183	"""
1184
1185	x= numpy.linspace(start= qmin,
1186	stop= qmax,
1187	num= qstep,
1188	endpoint=True
1189	)
1190	if data!=None:
1191	## check for data2D
1192	if hasattr(data,"x_bins"):
1193	return
1194	x = data.x
1195	if qmin == DEFAULT_QMIN :
1196	qmin = min(data.x)
1197	if qmax == DEFAULT_QMAX:
1198	qmax = max(data.x)
1199
1200
1201	if not enable1D:
1202	return
1203
1204	try:
1205	from model_thread import Calc1D
1206	## If a thread is already started, stop it
1207	if self.calc_1D!= None and self.calc_1D.isrunning():
1208	self.calc_1D.stop()
1209	self.calc_1D= Calc1D( x= x,
1210	data = data,
1211	model= model,
1212	qmin = qmin,
1213	qmax = qmax,
1214	smearer = smearer,
1215	completefn = self._complete1D,
1216	updatefn = self._update1D )
1217	self.calc_1D.queue()
1218
1219	except:
1220	msg= " Error occurred when drawing %s Model 1D: "%model.name
1221	msg+= " %s"%sys.exc_value
1222	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1223	return
1224
1225
1226
1227
1228
1229	if __name__ == "__main__":
1230	i = Plugin()
1231
1232
1233
1234

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 848a2ef

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