fitting.py @ 707436d

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 707436d was 707436d, checked in by Gervaise Alina <gervyh@…>, 15 years ago
switching between fitting engine when create new page fix
Property mode set to `100644`
File size: 41.1 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.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
99	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
100
101	id3 = wx.NewId()
102	park_help = "Park Engine: Perform Complex fit. More in Help window...."
103	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
104	wx.EVT_MENU(owner, id3, self._onset_engine_park)
105
106	self.menu1.FindItemByPosition(0).Check(True)
107	self.menu1.FindItemByPosition(1).Check(False)
108
109	self.menu1.AppendSeparator()
110
111	id1 = wx.NewId()
112	simul_help = "Allow to edit fit engine with multiple model and data"
113	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
114	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
115
116	#menu for model
117	menu2 = wx.Menu()
118
119	self.menu_mng.populate_menu(menu2, owner)
120	id2 = wx.NewId()
121	owner.Bind(models.EVT_MODEL,self._on_model_menu)
122
123	self.fit_panel.set_owner(owner)
124	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
125	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
126
127	self.menu3= wx.Menu()
128	id4 = wx.NewId()
129
130	#create menubar items
131	return [(id, self.menu1, "Fitting"),
132	(id4,self.menu3,"Averagers"),
133	(id2, menu2, "Model")]
134
135	def on_add_sim_page(self, event):
136	"""
137	Create a page to access simultaneous fit option
138	"""
139	if self.sim_page !=None:
140	msg= "Simultaneous Fit page already opened"
141	wx.PostEvent(self.parent, StatusEvent(status= msg))
142	return
143
144	self.sim_page= self.fit_panel.add_sim_page()
145
146
147
148	def help(self, evt):
149	"""
150	Show a general help dialog.
151	TODO: replace the text with a nice image
152	"""
153	from helpPanel import HelpWindow
154	frame = HelpWindow(None, -1, 'HelpWindow')
155	frame.Show(True)
156
157
158	def get_context_menu(self, graph=None):
159	"""
160	Get the context menu items available for P(r)
161	@param graph: the Graph object to which we attach the context menu
162	@return: a list of menu items with call-back function
163	"""
164	self.graph=graph
165	for item in graph.plottables:
166	if item.__class__.__name__ is "Data2D":
167	return [["Select data for Fitting",\
168	"Dialog with fitting parameters ", self._onSelect]]
169	else:
170
171	if item.name==graph.selected_plottable :
172	if not hasattr(item, "group_id"):
173	return []
174	return [["Select data for Fitting", \
175	"Dialog with fitting parameters ", self._onSelect]]
176	return []
177
178
179	def get_panels(self, parent):
180	"""
181	Create and return a list of panel objects
182	"""
183	self.parent = parent
184	# Creation of the fit panel
185	self.fit_panel = FitPanel(self.parent, -1)
186	#Set the manager for the main panel
187	self.fit_panel.set_manager(self)
188	# List of windows used for the perspective
189	self.perspective = []
190	self.perspective.append(self.fit_panel.window_name)
191	# take care of saving data, model and page associated with each other
192	self.page_finder = {}
193	#index number to create random model name
194	self.index_model = 0
195	self.index_theory= 0
196	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
197	self.parent.Bind( ERR_DATA, self._on_data_error)
198
199	#Send the fitting panel to guiframe
200	self.mypanels.append(self.fit_panel)
201	return self.mypanels
202
203
204
205	def get_perspective(self):
206	"""
207	Get the list of panel names for this perspective
208	"""
209	return self.perspective
210
211
212	def on_perspective(self, event):
213	"""
214	Call back function for the perspective menu item.
215	We notify the parent window that the perspective
216	has changed.
217	"""
218	self.parent.set_perspective(self.perspective)
219
220
221	def post_init(self):
222	"""
223	Post initialization call back to close the loose ends
224	[Somehow openGL needs this call]
225	"""
226	self.parent.set_perspective(self.perspective)
227
228
229	def copy_data(self, item, dy):
230	"""
231	receive a data 1D and the list of errors on dy
232	and create a new data1D data
233	@param return
234	"""
235	detector=None
236	source=None
237	info = None
238	id=None
239	dxl=None
240	dxw=None
241	if hasattr(item, "dxl"):
242	dxl = item.dxl
243	if hasattr(item, "dxw"):
244	dxw = item.dxw
245	if hasattr(item, "detector"):
246	detector =item.detector
247	if hasattr(item, "source"):
248	source =item.source
249	if hasattr(item ,"info"):
250	info= item.info
251	if hasattr(item,"id"):
252	id = item.id
253	from sans.guiframe import dataFitting
254	if item.__class__.__name__=="Data1D":
255	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
256	else:
257	data= dataFitting.Theory1D(x=item.x, y=item.y, dxl=dxl, dxw=dxw)
258	data.name = item.name
259	data.detector = detector
260	data.source = source
261	## allow to highlight data when plotted
262	data.interactive = item.interactive
263	## when 2 data have the same id override the 1 st plotted
264	data.id = id
265	## info is a reference to output of dataloader that can be used
266	## to save data 1D as cansas xml file
267	data.info= info
268	## If the data file does not tell us what the axes are, just assume...
269	data.xaxis(item._xaxis,item._xunit)
270	data.yaxis(item._yaxis,item._yunit)
271	##group_id specify on which panel to plot this data
272	data.group_id = item.group_id
273	return data
274
275	def set_fit_range(self, page, qmin, qmax):
276	"""
277	Set the fitting range of a given page
278	"""
279	if page in self.page_finder.iterkeys():
280	fitproblem= self.page_finder[page]
281	fitproblem.set_range(qmin= qmin, qmax= qmax)
282
283	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
284	"""
285	Set the fit problem field to 0 or 1 to schedule that problem to fit.
286	Schedule the specified fitproblem or get the fit problem related to
287	the current page and set value.
288	@param value : integer 0 or 1
289	@param fitproblem: fitproblem to schedule or not to fit
290	"""
291	if fitproblem !=None:
292	fitproblem.schedule_tofit(value)
293	else:
294	if page in self.page_finder.iterkeys():
295	fitproblem= self.page_finder[page]
296	fitproblem.schedule_tofit(value)
297
298
299
300	def get_page_finder(self):
301	""" @return self.page_finder used also by simfitpage.py"""
302	return self.page_finder
303
304
305	def set_page_finder(self,modelname,names,values):
306	"""
307	Used by simfitpage.py to reset a parameter given the string constrainst.
308	@param modelname: the name ot the model for with the parameter has to reset
309	@param value: can be a string in this case.
310	@param names: the paramter name
311	@note: expecting park used for fit.
312	"""
313	sim_page= self.sim_page
314	for page, value in self.page_finder.iteritems():
315	if page != sim_page:
316	list=value.get_model()
317	model = list[0]
318	if model.name== modelname:
319	value.set_model_param(names,values)
320	break
321
322
323
324	def split_string(self,item):
325	"""
326	receive a word containing dot and split it. used to split parameterset
327	name into model name and parameter name example:
328	paramaterset (item) = M1.A
329	@return model_name =M1 , parameter name =A
330	"""
331	if string.find(item,".")!=-1:
332	param_names= re.split("\.",item)
333	model_name=param_names[0]
334	param_name=param_names[1]
335	return model_name,param_name
336
337
338	def stop_fit(self):
339	"""
340	Stop the fit engine
341	"""
342	if self.calc_fit!= None and self.calc_thread.isrunning():
343	self.calc_thread.stop()
344	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
345	is cancelled" , type="stop"))
346
347
348
349	def set_smearer(self,smearer, qmin=None, qmax=None):
350	"""
351	Get a smear object and store it to a fit problem
352	@param smearer: smear object to allow smearing data
353	"""
354	current_pg=self.fit_panel.get_current_page()
355	self.page_finder[current_pg].set_smearer(smearer)
356	## draw model 1D with smeared data
357	data = self.page_finder[current_pg].get_plotted_data()
358	model = self.page_finder[current_pg].get_model()
359	## if user has already selected a model to plot
360	## redraw the model with data smeared
361
362	smearer =self.page_finder[current_pg].get_smearer()
363	if smearer != None:
364	self.draw_model( model=model, data= data, smearer= smearer,
365	qmin= qmin, qmax= qmax)
366
367
368
369	def draw_model(self, model, data= None,smearer= None,
370	enable1D= True, enable2D= False,
371	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
372	"""
373	Draw model.
374	@param model: the model to draw
375	@param name: the name of the model to draw
376	@param data: the data on which the model is based to be drawn
377	@param description: model's description
378	@param enable1D: if true enable drawing model 1D
379	@param enable2D: if true enable drawing model 2D
380	@param qmin: Range's minimum value to draw model
381	@param qmax: Range's maximum value to draw model
382	@param qstep: number of step to divide the x and y-axis
383
384	"""
385	## draw model 1D with no loaded data
386	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
387	qmin= qmin, qmax= qmax, qstep= qstep )
388	## draw model 2D with no initial data
389	self._draw_model2D(model=model,
390	data = data,
391	enable2D= enable2D,
392	qmin=qmin,
393	qmax=qmax,
394	qstep=qstep)
395
396
397
398	def onFit(self):
399	"""
400	perform fit
401	"""
402	## count the number of fitproblem schedule to fit
403	fitproblem_count= 0
404	for value in self.page_finder.itervalues():
405	if value.get_scheduled()==1:
406	fitproblem_count += 1
407
408	## if simultaneous fit change automatically the engine to park
409	if fitproblem_count >1:
410	self._on_change_engine(engine='park')
411
412	from sans.fit.Fitting import Fit
413	self.fitter= Fit(self._fit_engine)
414
415	if self._fit_engine=="park":
416	engineType="Simultaneous Fit"
417	else:
418	engineType="Single Fit"
419
420	fproblemId = 0
421	current_pg=None
422	for page, value in self.page_finder.iteritems():
423	try:
424	if value.get_scheduled()==1:
425	#Get list of parameters name to fit
426	pars = []
427	templist = []
428	templist = page.get_param_list()
429	for element in templist:
430	name = str(element[0].GetLabelText())
431	pars.append(name)
432	#Set Engine (model , data) related to the page on
433	self._fit_helper( current_pg=page, value=value,pars=pars,
434	id=fproblemId, title= engineType )
435	fproblemId += 1
436	current_pg= page
437	except:
438	msg= "%s error: %s" % (engineType,sys.exc_value)
439	wx.PostEvent(self.parent, StatusEvent(status= msg ))
440	return
441	#Do the simultaneous fit
442	try:
443	## If a thread is already started, stop it
444	if self.calc_fit!= None and self.calc_fit.isrunning():
445	self.calc_fit.stop()
446	## perform single fit
447	if self._fit_engine=="scipy":
448	qmin, qmax= current_pg.get_range()
449	self.calc_fit=FitThread(parent =self.parent,
450	fn= self.fitter,
451	cpage=current_pg,
452	pars= pars,
453	completefn= self._single_fit_completed,
454	updatefn=None)
455
456	else:
457	## Perform more than 1 fit at the time
458	self.calc_fit=FitThread(parent =self.parent,
459	fn= self.fitter,
460	completefn= self._simul_fit_completed,
461	updatefn=None)
462	self.calc_fit.queue()
463	self.calc_fit.ready(2.5)
464
465	except:
466	msg= "%s error: %s" % (engineType,sys.exc_value)
467	wx.PostEvent(self.parent, StatusEvent(status= msg ))
468	return
469
470
471	def _add_page_onmenu(self, name,fitproblem=None):
472	"""
473	Add name of a closed page of fitpanel in a menu
474	"""
475	list = self.menu1.GetMenuItems()
476	for item in list:
477	if name == item.GetItemLabel():
478	self.closed_page_dict[name][1] = fitproblem
479
480	if not name in self.closed_page_dict.keys():
481	# Post paramters
482	event_id = wx.NewId()
483	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
484	self.closed_page_dict[name]= [event_id, fitproblem]
485	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
486
487
488	def _open_closed_page(self, event):
489	"""
490	reopen a closed page
491	"""
492	for name, value in self.closed_page_dict.iteritems():
493	if event.GetId() in value:
494	id,fitproblem = value
495	if name !="Model":
496	data= fitproblem.get_fit_data()
497	page = self.fit_panel.add_fit_page(data= data,reset=True)
498	if fitproblem != None:
499	self.page_finder[page]=fitproblem
500	if self.sim_page != None:
501	self.sim_page.draw_page()
502
503	else:
504	model = fitproblem
505	self.fit_panel.add_model_page(model=model, topmenu=True,
506	reset= True)
507	break
508
509
510	def _reset_schedule_problem(self, value=0):
511	"""
512	unschedule or schedule all fitproblem to be fit
513	"""
514	for page, fitproblem in self.page_finder.iteritems():
515	fitproblem.schedule_tofit(value)
516
517	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
518	"""
519	helper for fitting
520	"""
521	metadata = value.get_fit_data()
522	model = value.get_model()
523	smearer = value.get_smearer()
524	qmin , qmax = value.get_range()
525	self.fit_id =id
526	#Create list of parameters for fitting used
527	templist=[]
528	pars=pars
529	try:
530	## create a park model and reset parameter value if constraint
531	## is given
532	new_model = Model(model)
533	param = value.get_model_param()
534	if len(param)>0:
535	for item in param:
536	param_value = item[1]
537	param_name = item[0]
538	## check if constraint
539	if param_value !=None and param_name != None:
540	new_model.parameterset[ param_name].set( param_value )
541
542	#Do the single fit
543	self.fitter.set_model(new_model, self.fit_id, pars)
544
545	self.fitter.set_data(data=metadata,Uid=self.fit_id,
546	smearer=smearer,qmin= qmin,qmax=qmax )
547
548	self.fitter.select_problem_for_fit(Uid= self.fit_id,
549	value= value.get_scheduled())
550	value.clear_model_param()
551	except:
552	msg= title +" error: %s" % sys.exc_value
553	wx.PostEvent(self.parent, StatusEvent(status= msg ))
554	return
555
556	def _onSelect(self,event):
557	"""
558	when Select data to fit a new page is created .Its reference is
559	added to self.page_finder
560	"""
561	self.panel = event.GetEventObject()
562	for item in self.panel.graph.plottables:
563	if item.name == self.panel.graph.selected_plottable:
564	## put the errors values back to the model if the errors were hiden
565	## before sending them to the fit engine
566	if len(self.err_dy)>0:
567	if item.name in self.err_dy.iterkeys():
568	dy= self.err_dy[item.name]
569	data= self.copy_data(item, dy)
570	else:
571	data= item
572	else:
573	if item.dy==None:
574	dy= numpy.zeros(len(item.y))
575	dy[dy==0]=1
576	data= self.copy_data(item, dy)
577	else:
578	data= item
579	else:
580	data= item
581	## create anew page
582	if item.name == self.panel.graph.selected_plottable or\
583	item.__class__.__name__ is "Data2D":
584	try:
585	page = self.fit_panel.add_fit_page(data)
586	# add data associated to the page created
587	if page !=None:
588	#create a fitproblem storing all link to data,model,page creation
589	self.page_finder[page]= FitProblem()
590	## item is almost the same as data but contains
591	## axis info for plotting
592	self.page_finder[page].add_plotted_data(item)
593	self.page_finder[page].add_fit_data(data)
594
595	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
596	else:
597	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
598	except:
599	raise
600	#wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
601	#%sys.exc_value))
602	#return
603
604	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
605	"""
606	Display fit result on one page of the notebook.
607	@param result: result of fit
608	@param pars: list of names of parameters fitted
609	@param current_pg: the page where information will be displayed
610	@param qmin: the minimum value of x to replot the model
611	@param qmax: the maximum value of x to replot model
612
613	"""
614	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
615	complete! " , type="stop"))
616	try:
617	for page, value in self.page_finder.iteritems():
618	if page==cpage :
619	model= value.get_model()
620	break
621	i = 0
622	for name in pars:
623	if result.pvec.__class__==numpy.float64:
624	model.setParam(name,result.pvec)
625	else:
626	model.setParam(name,result.pvec[i])
627	i += 1
628	## Reset values of the current page to fit result
629	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
630	## plot the current model with new param
631	metadata = self.page_finder[cpage].get_fit_data()
632	model = self.page_finder[cpage].get_model()
633	qmin, qmax= self.page_finder[cpage].get_range()
634	#Replot models
635	msg= "Single Fit completed. plotting... %s:"%model.name
636	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
637	self.draw_model( model=model, data= metadata,qmin= qmin, qmax= qmax)
638
639	except:
640	msg= "Single Fit completed but Following error occurred:"
641	wx.PostEvent(self.parent, StatusEvent(status="%s %s" % (msg, sys.exc_value)))
642	return
643
644
645	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
646	"""
647	Parameter estimation completed,
648	display the results to the user
649	@param alpha: estimated best alpha
650	@param elapsed: computation time
651	"""
652	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
653	complete ", type="stop"))
654
655	## fit more than 1 model at the same time
656	try:
657	for page, value in self.page_finder.iteritems():
658	if value.get_scheduled()==1:
659	model = value.get_model()
660	metadata = value.get_plotted_data()
661	small_out = []
662	small_cov = []
663	i = 0
664	#Separate result in to data corresponding to each page
665	for p in result.parameters:
666	model_name,param_name = self.split_string(p.name)
667	if model.name == model_name:
668	p_name= model.name+"."+param_name
669	if p.name == p_name:
670	small_out.append(p.value )
671	model.setParam(param_name,p.value)
672	if p.stderr==None:
673	p.stderr=numpy.nan
674	small_cov.append(p.stderr)
675
676	else:
677	small_cov.append(p.stderr)
678	else:
679	value= model.getParam(param_name)
680	small_out.append(value )
681	small_cov.append(numpy.nan)
682	# Display result on each page
683	page.onsetValues(result.fitness, small_out,small_cov)
684	#Replot models
685	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
686	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
687	qmin, qmax= page.get_range()
688	self.draw_model( model=model, data= metadata,qmin= qmin, qmax= qmax)
689
690	except:
691	msg= "Simultaneous Fit completed but Following error occurred: "
692	wx.PostEvent(self.parent, StatusEvent(status="%s%s" %(msg,sys.exc_value)))
693	return
694
695
696
697	def _on_show_panel(self, event):
698	print "_on_show_panel: fitting"
699
700
701	def _onset_engine_park(self,event):
702	"""
703	set engine to park
704	"""
705	self._on_change_engine('park')
706
707
708	def _onset_engine_scipy(self,event):
709	"""
710	set engine to scipy
711	"""
712	self._on_change_engine('scipy')
713
714	def _on_slicer_event(self, event):
715	"""
716	Receive a panel as event and send it to guiframe
717	@param event: event containing a panel
718	"""
719	if event.panel!=None:
720	new_panel = event.panel
721	# Set group ID if available
722	event_id = self.parent.popup_panel(new_panel)
723	self.menu3.Append(event_id, new_panel.window_caption,
724	"Show %s plot panel" % new_panel.window_caption)
725	# Set UID to allow us to reference the panel later
726	new_panel.uid = event_id
727	new_panel
728	self.mypanels.append(new_panel)
729	return
730
731
732	def _return_engine_type(self):
733	"""
734	return the current type of engine
735	"""
736	return self._fit_engine
737
738
739	def _on_change_engine(self, engine='park'):
740	"""
741	Allow to select the type of engine to perform fit
742	@param engine: the key work of the engine
743	"""
744	## saving fit engine name
745	self._fit_engine = engine
746	## change menu item state
747	if engine=="park":
748	self.menu1.FindItemByPosition(0).Check(False)
749	self.menu1.FindItemByPosition(1).Check(True)
750	else:
751	self.menu1.FindItemByPosition(0).Check(True)
752	self.menu1.FindItemByPosition(1).Check(False)
753
754	## post a message to status bar
755	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
756
757	## Bind every open fit page with a newevent to know the current fitting engine
758	import fitpage
759	event= fitpage.FitterTypeEvent()
760	event.type = self._fit_engine
761	for key in self.page_finder.keys():
762	wx.PostEvent(key, event)
763
764
765	def _on_model_panel(self, evt):
766	"""
767	react to model selection on any combo box or model menu.plot the model
768	@param evt: wx.combobox event
769	"""
770	model = evt.model
771
772	if model ==None:
773	return
774
775	current_pg = self.fit_panel.get_current_page()
776	## make sure nothing is done on self.sim_page
777	## example trying to call set_panel on self.sim_page
778	if current_pg != self.sim_page :
779
780	if self.page_finder[current_pg].get_model()== None :
781
782	model.name="M"+str(self.index_model)
783	self.index_model += 1
784	else:
785	model.name= self.page_finder[current_pg].get_model().name
786
787	metadata = self.page_finder[current_pg].get_plotted_data()
788
789	# save the name containing the data name with the appropriate model
790	self.page_finder[current_pg].set_model(model)
791	qmin, qmax= current_pg.get_range()
792	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
793
794	# save model name
795	self.draw_model( model=model, data= metadata, qmin=qmin, qmax=qmax)
796
797	if self.sim_page!=None:
798	self.sim_page.draw_page()
799
800
801
802	def _on_model_menu(self, evt):
803	"""
804	Plot a theory from a model selected from the menu
805	@param evt: wx.menu event
806	"""
807	model = evt.model
808
809	# Create a model page. If a new page is created, the model
810	# will be plotted automatically. If a page already exists,
811	# the content will be updated and the plot refreshed
812	self.fit_panel.add_model_page(model,topmenu=True)
813
814
815
816
817	def _update1D(self,x, output):
818	"""
819	Update the output of plotting model 1D
820	"""
821	self.calc_thread.ready(1)
822
823	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
824	"""
825	fill Data2D with default value
826	@param theory: Data2D to fill
827	"""
828	from DataLoader.data_info import Detector, Source
829
830	detector = Detector()
831	theory.detector.append(detector)
832
833	theory.detector[0].distance=1e+32
834	theory.source= Source()
835	theory.source.wavelength=2*math.pi/1e+32
836
837	## Create detector for Model 2D
838	xmax=2theory.detector[0].distancemath.atan(\
839	qmax/(4*math.pi/theory.source.wavelength))
840
841	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
842	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
843	theory.detector[0].beam_center.x= qmax
844	theory.detector[0].beam_center.y= qmax
845	## create x_bins and y_bins of the model 2D
846	distance = theory.detector[0].distance
847	pixel = qstep/2-1
848	theta = pixel / distance / qstep#100.0
849	wavelength = theory.source.wavelength
850	pixel_width_x = theory.detector[0].pixel_size.x
851	pixel_width_y = theory.detector[0].pixel_size.y
852	center_x = theory.detector[0].beam_center.x/pixel_width_x
853	center_y = theory.detector[0].beam_center.y/pixel_width_y
854
855
856	size_x, size_y= numpy.shape(theory.data)
857	for i_x in range(size_x):
858	theta = (i_x-center_x)*pixel_width_x / distance
859	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
860	theory.x_bins.append(qx)
861	for i_y in range(size_y):
862	theta = (i_y-center_y)*pixel_width_y / distance
863	qy =4.0math.pi/wavelength math.tan(theta/2.0)
864	theory.y_bins.append(qy)
865
866	theory.group_id ="Model"
867	theory.id ="Model"
868	## determine plot boundaries
869	theory.xmin= -qmax
870	theory.xmax= qmax
871	theory.ymin= -qmax
872	theory.ymax= qmax
873
874
875	def _get_plotting_info(self, data=None):
876	"""
877	get plotting info from data if data !=None
878	else use some default
879	"""
880	my_info = PlotInfo()
881	if data !=None:
882	if hasattr(data,"info"):
883	x_name, x_units = data.get_xaxis()
884	y_name, y_units = data.get_yaxis()
885
886	my_info._xunit = x_units
887	my_info._xaxis = x_name
888	my_info._yunit = y_units
889	my_info._yaxis = y_name
890
891	my_info.title= data.name
892	if hasattr(data, "info"):
893	my_info.info= data.info
894	if hasattr(data, "group_id"):
895	my_info.group_id= data.group_id
896
897	return my_info
898
899	def _complete1D(self, x,y, elapsed,model,data=None):
900	"""
901	Complete plotting 1D data
902	"""
903	try:
904
905	new_plot = Theory1D(x=x, y=y)
906	my_info = self._get_plotting_info( data)
907	new_plot.name = model.name
908	new_plot.id = my_info.id
909	new_plot.group_id = my_info.group_id
910
911	new_plot.xaxis( my_info._xaxis, my_info._xunit)
912	new_plot.yaxis( my_info._yaxis, my_info._yunit)
913	if data!=None:
914	if new_plot.id == data.id:
915	new_plot.id += "Model"
916
917	# Pass the reset flag to let the plotting event handler
918	# know that we are replacing the whole plot
919	title= my_info.title
920	if title== None:
921	title="Analytical model 1D "
922	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
923	title= str(title), reset=True ))
924	else:
925	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
926	title= str(title)))
927
928	except:
929	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
930	msg+= " %s"%sys.exc_value
931	wx.PostEvent( self.parent, StatusEvent(status= msg ))
932	return
933
934
935
936
937	def _update2D(self, output,time=None):
938	"""
939	Update the output of plotting model
940	"""
941	wx.PostEvent(self.parent, StatusEvent(status="Plot \
942	#updating ... ",type="update"))
943	self.calc_thread.ready(0.01)
944
945
946	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
947	"""
948	Complete get the result of modelthread and create model 2D
949	that can be plot.
950	"""
951	msg = "Calc complete !"
952	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
953
954	err_image = numpy.zeros(numpy.shape(image))
955	err_image[err_image==0]= 1
956	theory= Data2D(image= image , err_image= err_image)
957	theory.name= model.name
958
959	if data ==None:
960	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
961
962	else:
963	theory.id= "Model"
964	theory.group_id= "Model"+data.name
965	theory.x_bins= data.x_bins
966	theory.y_bins= data.y_bins
967	theory.detector= data.detector
968	theory.source= data.source
969
970	## plot boundaries
971	theory.ymin= data.ymin
972	theory.ymax= data.ymax
973	theory.xmin= data.xmin
974	theory.xmax= data.xmax
975
976	## plot
977	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
978	title="Analytical model 2D ", reset=True ))
979
980	def _on_data_error(self, event):
981	"""
982	receives and event from plotting plu-gins to store the data name and
983	their errors of y coordinates for 1Data hide and show error
984	"""
985	self.err_dy= event.err_dy
986
987	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
988	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
989	"""
990	draw model in 2D
991	@param model: instance of the model to draw
992	@param description: the description of the model
993	@param enable2D: when True allows to draw model 2D
994	@param qmin: the minimum value to draw model 2D
995	@param qmax: the maximum value to draw model 2D
996	@param qstep: the number of division of Qx and Qy of the model to draw
997
998	"""
999
1000	x= numpy.linspace(start= -1*qmax,
1001	stop= qmax,
1002	num= qstep,
1003	endpoint=True )
1004	y = numpy.linspace(start= -1*qmax,
1005	stop= qmax,
1006	num= qstep,
1007	endpoint=True )
1008	## use data info instead
1009	if data !=None:
1010	## check if data2D to plot
1011	if hasattr(data, "x_bins"):
1012	enable2D = True
1013	x= data.x_bins
1014	y= data.y_bins
1015
1016	if not enable2D:
1017	return
1018	try:
1019	from model_thread import Calc2D
1020	## If a thread is already started, stop it
1021	if self.calc_2D != None and self.calc_2D.isrunning():
1022	self.calc_2D.stop()
1023	self.calc_2D = Calc2D( x= x,
1024	y= y,
1025	model= model,
1026	data = data,
1027	qmin= qmin,
1028	qmax= qmax,
1029	qstep= qstep,
1030	completefn= self._complete2D,
1031	updatefn= self._update2D )
1032	self.calc_2D.queue()
1033
1034	except:
1035	msg= " Error occurred when drawing %s Model 2D: "%model.name
1036	msg+= " %s"%sys.exc_value
1037	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1038	return
1039
1040	def _draw_model1D(self, model, data=None, smearer= None,
1041	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1042	"""
1043	Draw model 1D from loaded data1D
1044	@param data: loaded data
1045	@param model: the model to plot
1046	"""
1047
1048	x= numpy.linspace(start= qmin,
1049	stop= qmax,
1050	num= qstep,
1051	endpoint=True
1052	)
1053	if data!=None:
1054	## check for data2D
1055	if hasattr(data,"x_bins"):
1056	return
1057	x = data.x
1058	if qmin == DEFAULT_QMIN :
1059	qmin = min(data.x)
1060	if qmax == DEFAULT_QMAX:
1061	qmax = max(data.x)
1062
1063	if not enable1D:
1064	return
1065
1066	try:
1067	from model_thread import Calc1D
1068	## If a thread is already started, stop it
1069	if self.calc_1D!= None and self.calc_1D.isrunning():
1070	self.calc_1D.stop()
1071	self.calc_1D= Calc1D( x= x,
1072	data = data,
1073	model= model,
1074	qmin = qmin,
1075	qmax = qmax,
1076	smearer = smearer,
1077	completefn = self._complete1D,
1078	updatefn = self._update1D )
1079	self.calc_1D.queue()
1080
1081	except:
1082	msg= " Error occurred when drawing %s Model 1D: "%model.name
1083	msg+= " %s"%sys.exc_value
1084	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1085	return
1086
1087
1088
1089
1090
1091	if __name__ == "__main__":
1092	i = Plugin()
1093
1094
1095
1096

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

SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 707436d

Download in other formats: