fitting.py @ 6ed82c7

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 6ed82c7 was 6ed82c7, checked in by Gervaise Alina <gervyh@…>, 15 years ago
fitting model change
Property mode set to `100644`
File size: 43.4 KB

Line
1	import re,copy
2	import sys, wx, logging
3	import string, numpy, math
4
5	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
6	from danse.common.plottools.PlotPanel import PlotPanel
7	from sans.guicomm.events import NewPlotEvent, StatusEvent
8	from sans.guicomm.events import EVT_SLICER_PANEL,ERR_DATA
9	from sans.guiframe import dataFitting
10	from sans.fit.AbstractFitEngine import Model,FitData1D,FitData2D
11
12	from fitproblem import FitProblem
13	from fitpanel import FitPanel
14	from fit_thread import FitThread
15	import models
16	import fitpage
17
18
19	DEFAULT_BEAM = 0.005
20	DEFAULT_QMIN = 0.0
21	DEFAULT_QMAX = 0.1
22	DEFAULT_NPTS = 50
23	import time
24	import thread
25
26
27	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
28	class PlotInfo:
29	"""
30	store some plotting field
31	"""
32	_xunit = 'A^{-1}'
33	_xaxis= "\\rm{Q}"
34	_yunit = "cm^{-1}"
35	_yaxis= "\\rm{Intensity} "
36	id = "Model"
37	group_id = "Model"
38	title= None
39	info= None
40
41
42	class Plugin:
43	"""
44	Fitting plugin is used to perform fit
45	"""
46	def __init__(self):
47	## Plug-in name
48	self.sub_menu = "Fitting"
49
50	## Reference to the parent window
51	self.parent = None
52	#Provide list of models existing in the application
53	self.menu_mng = models.ModelManager()
54	## List of panels for the simulation perspective (names)
55	self.perspective = []
56	#list of panel to send to guiframe
57	self.mypanels=[]
58	# reference to the current running thread
59	self.calc_2D= None
60	self.calc_1D= None
61	self.calc_fit= None
62
63	# Start with a good default
64	self.elapsed = 0.022
65	# the type of optimizer selected, park or scipy
66	self.fitter = None
67	#Flag to let the plug-in know that it is running stand alone
68	self.standalone=True
69	## dictionary of page closed and id
70	self.closed_page_dict ={}
71	## Fit engine
72	self._fit_engine = 'scipy'
73	#List of selected data
74	self.selected_data_list=[]
75	# Log startup
76	logging.info("Fitting plug-in started")
77	# model 2D view
78	self.model2D_id=None
79	#keep reference of the simultaneous fit page
80	self.sim_page=None
81	#dictionary containing data name and error on dy of that data
82	self.err_dy={}
83
84
85
86	def populate_menu(self, id, owner):
87	"""
88	Create a menu for the Fitting plug-in
89	@param id: id to create a menu
90	@param owner: owner of menu
91	@ return : list of information to populate the main menu
92	"""
93	#Menu for fitting
94	self.menu1 = wx.Menu()
95
96	#Set park engine
97	id3 = wx.NewId()
98	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
99	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
100	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
101
102	id3 = wx.NewId()
103	park_help = "Park Engine: Perform Complex fit. More in Help window...."
104	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
105	wx.EVT_MENU(owner, id3, self._onset_engine_park)
106
107	self.menu1.FindItemByPosition(0).Check(True)
108	self.menu1.FindItemByPosition(1).Check(False)
109
110	self.menu1.AppendSeparator()
111
112	id1 = wx.NewId()
113	simul_help = "Allow to edit fit engine with multiple model and data"
114	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
115	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
116
117	#menu for model
118	menu2 = wx.Menu()
119
120	self.menu_mng.populate_menu(menu2, owner)
121	id2 = wx.NewId()
122	owner.Bind(models.EVT_MODEL,self._on_model_menu)
123
124	self.fit_panel.set_owner(owner)
125	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
126	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
127
128	#self.menu3= wx.Menu()
129	#id4 = wx.NewId()
130
131	#create menubar items
132	return [(id, self.menu1, "Fitting"),
133	(id2, menu2, "Model")]
134	#return [(id, self.menu1, "Fitting"),
135	# (id4,self.menu3,"Averagers"),
136	# (id2, menu2, "Model")]
137
138	def on_add_sim_page(self, event):
139	"""
140	Create a page to access simultaneous fit option
141	"""
142	if self.sim_page !=None:
143	msg= "Simultaneous Fit page already opened"
144	wx.PostEvent(self.parent, StatusEvent(status= msg))
145	return
146
147	self.sim_page= self.fit_panel.add_sim_page()
148
149
150
151	def help(self, evt):
152	"""
153	Show a general help dialog.
154	TODO: replace the text with a nice image
155	"""
156	from helpPanel import HelpWindow
157	frame = HelpWindow(None, -1, 'HelpWindow')
158	frame.Show(True)
159
160
161	def get_context_menu(self, graph=None):
162	"""
163	Get the context menu items available for P(r)
164	@param graph: the Graph object to which we attach the context menu
165	@return: a list of menu items with call-back function
166	"""
167	self.graph=graph
168	for item in graph.plottables:
169	if item.__class__.__name__ is "Data2D":
170	return [["Select data for Fitting",\
171	"Dialog with fitting parameters ", self._onSelect]]
172	else:
173
174	if item.name==graph.selected_plottable :
175	if not hasattr(item, "group_id"):
176	return []
177	return [["Select data for Fitting", \
178	"Dialog with fitting parameters ", self._onSelect]]
179	return []
180
181
182	def get_panels(self, parent):
183	"""
184	Create and return a list of panel objects
185	"""
186	self.parent = parent
187	# Creation of the fit panel
188	self.fit_panel = FitPanel(self.parent, -1)
189	#Set the manager for the main panel
190	self.fit_panel.set_manager(self)
191	# List of windows used for the perspective
192	self.perspective = []
193	self.perspective.append(self.fit_panel.window_name)
194	# take care of saving data, model and page associated with each other
195	self.page_finder = {}
196	#index number to create random model name
197	self.index_model = 0
198	self.index_theory= 0
199	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
200	self.parent.Bind( ERR_DATA, self._on_data_error)
201
202	#Send the fitting panel to guiframe
203	self.mypanels.append(self.fit_panel)
204	return self.mypanels
205
206
207
208	def get_perspective(self):
209	"""
210	Get the list of panel names for this perspective
211	"""
212	return self.perspective
213
214
215	def on_perspective(self, event):
216	"""
217	Call back function for the perspective menu item.
218	We notify the parent window that the perspective
219	has changed.
220	"""
221	self.parent.set_perspective(self.perspective)
222
223
224	def post_init(self):
225	"""
226	Post initialization call back to close the loose ends
227	[Somehow openGL needs this call]
228	"""
229	self.parent.set_perspective(self.perspective)
230
231
232	def copy_data(self, item, dy):
233	"""
234	receive a data 1D and the list of errors on dy
235	and create a new data1D data
236	@param return
237	"""
238	detector=None
239	source=None
240	info = None
241	id=None
242	dxl=None
243	dxw=None
244	if hasattr(item, "dxl"):
245	dxl = copy.deepcopy(item.dxl)
246	if hasattr(item, "dxw"):
247	dxw = copy.deepcopy(item.dxw)
248	if hasattr(item, "detector"):
249	detector = copy.deepcopy(item.detector)
250	if hasattr(item, "source"):
251	source = copy.deepcopy(item.source)
252	if hasattr(item ,"info"):
253	info= copy.deepcopy(item.info)
254	if hasattr(item,"id"):
255	id = copy.deepcopy(item.id)
256
257	from sans.guiframe import dataFitting
258
259	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
260
261	data.name = item.name
262	data.detector = detector
263	data.source = source
264	## allow to highlight data when plotted
265	data.interactive = copy.deepcopy(item.interactive)
266	## when 2 data have the same id override the 1 st plotted
267	data.id = id
268	## info is a reference to output of dataloader that can be used
269	## to save data 1D as cansas xml file
270	data.info= info
271	is_data=False
272	if hasattr(item, "is_data"):
273	is_data= item.is_data
274	data.is_data = is_data
275	## If the data file does not tell us what the axes are, just assume...
276	data.xaxis(copy.deepcopy(item._xaxis),copy.deepcopy(item._xunit))
277	data.yaxis(copy.deepcopy(item._yaxis),copy.deepcopy(item._yunit))
278	##group_id specify on which panel to plot this data
279	data.group_id = copy.deepcopy(item.group_id)
280	return data
281
282	def set_fit_range(self, page, qmin, qmax):
283	"""
284	Set the fitting range of a given page
285	"""
286	if page in self.page_finder.iterkeys():
287	fitproblem= self.page_finder[page]
288	fitproblem.set_range(qmin= qmin, qmax= qmax)
289
290	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
291	"""
292	Set the fit problem field to 0 or 1 to schedule that problem to fit.
293	Schedule the specified fitproblem or get the fit problem related to
294	the current page and set value.
295	@param value : integer 0 or 1
296	@param fitproblem: fitproblem to schedule or not to fit
297	"""
298	if fitproblem !=None:
299	fitproblem.schedule_tofit(value)
300	else:
301	if page in self.page_finder.iterkeys():
302	fitproblem= self.page_finder[page]
303	fitproblem.schedule_tofit(value)
304
305
306
307	def get_page_finder(self):
308	""" @return self.page_finder used also by simfitpage.py"""
309	return self.page_finder
310
311
312	def set_page_finder(self,modelname,names,values):
313	"""
314	Used by simfitpage.py to reset a parameter given the string constrainst.
315	@param modelname: the name ot the model for with the parameter has to reset
316	@param value: can be a string in this case.
317	@param names: the paramter name
318	@note: expecting park used for fit.
319	"""
320	sim_page= self.sim_page
321	for page, value in self.page_finder.iteritems():
322	if page != sim_page:
323	list=value.get_model()
324	model = list[0]
325	if model.name== modelname:
326	value.set_model_param(names,values)
327	break
328
329
330
331	def split_string(self,item):
332	"""
333	receive a word containing dot and split it. used to split parameterset
334	name into model name and parameter name example:
335	paramaterset (item) = M1.A
336	@return model_name =M1 , parameter name =A
337	"""
338	if string.find(item,".")!=-1:
339	param_names= re.split("\.",item)
340	model_name=param_names[0]
341	param_name=param_names[1]
342	return model_name,param_name
343
344
345	def stop_fit(self):
346	"""
347	Stop the fit engine
348	"""
349	if self.calc_fit!= None and self.calc_thread.isrunning():
350	self.calc_thread.stop()
351	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
352	is cancelled" , type="stop"))
353
354
355
356	def set_smearer(self,smearer, qmin=None, qmax=None):
357	"""
358	Get a smear object and store it to a fit problem
359	@param smearer: smear object to allow smearing data
360	"""
361	current_pg=self.fit_panel.get_current_page()
362	self.page_finder[current_pg].set_smearer(smearer)
363	## draw model 1D with smeared data
364	data = self.page_finder[current_pg].get_plotted_data()
365	model = self.page_finder[current_pg].get_model()
366	## if user has already selected a model to plot
367	## redraw the model with data smeared
368
369	smear =self.page_finder[current_pg].get_smearer()
370	self.draw_model( model=model, data= data, smearer= smear,
371	qmin= qmin, qmax= qmax)
372
373
374
375	def draw_model(self, model, data= None,smearer= None,
376	enable1D= True, enable2D= False,
377	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
378	"""
379	Draw model.
380	@param model: the model to draw
381	@param name: the name of the model to draw
382	@param data: the data on which the model is based to be drawn
383	@param description: model's description
384	@param enable1D: if true enable drawing model 1D
385	@param enable2D: if true enable drawing model 2D
386	@param qmin: Range's minimum value to draw model
387	@param qmax: Range's maximum value to draw model
388	@param qstep: number of step to divide the x and y-axis
389
390	"""
391	## draw model 1D with no loaded data
392	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
393	qmin= qmin, qmax= qmax, qstep= qstep )
394	## draw model 2D with no initial data
395	self._draw_model2D(model=model,
396	data = data,
397	enable2D= enable2D,
398	qmin=qmin,
399	qmax=qmax,
400	qstep=qstep)
401
402
403
404	def onFit(self):
405	"""
406	perform fit
407	"""
408	## count the number of fitproblem schedule to fit
409	fitproblem_count= 0
410	for value in self.page_finder.itervalues():
411	if value.get_scheduled()==1:
412	fitproblem_count += 1
413
414	## if simultaneous fit change automatically the engine to park
415	if fitproblem_count >1:
416	self._on_change_engine(engine='park')
417
418	from sans.fit.Fitting import Fit
419	self.fitter= Fit(self._fit_engine)
420
421	if self._fit_engine=="park":
422	engineType="Simultaneous Fit"
423	else:
424	engineType="Single Fit"
425
426	fproblemId = 0
427	current_pg=None
428	for page, value in self.page_finder.iteritems():
429	try:
430	if value.get_scheduled()==1:
431	#Get list of parameters name to fit
432	pars = []
433	templist = []
434	templist = page.get_param_list()
435	for element in templist:
436	name = str(element[0].GetLabelText())
437	pars.append(name)
438	#Set Engine (model , data) related to the page on
439	self._fit_helper( current_pg=page, value=value,pars=pars,
440	id=fproblemId, title= engineType )
441	fproblemId += 1
442	current_pg= page
443	except:
444	msg= "%s error: %s" % (engineType,sys.exc_value)
445	wx.PostEvent(self.parent, StatusEvent(status= msg ))
446	return
447	#Do the simultaneous fit
448	try:
449	## If a thread is already started, stop it
450	if self.calc_fit!= None and self.calc_fit.isrunning():
451	self.calc_fit.stop()
452	## perform single fit
453	if self._fit_engine=="scipy":
454	qmin, qmax= current_pg.get_range()
455	self.calc_fit=FitThread(parent =self.parent,
456	fn= self.fitter,
457	cpage=current_pg,
458	pars= pars,
459	completefn= self._single_fit_completed,
460	updatefn=None)
461
462	else:
463	## Perform more than 1 fit at the time
464	self.calc_fit=FitThread(parent =self.parent,
465	fn= self.fitter,
466	completefn= self._simul_fit_completed,
467	updatefn=None)
468	self.calc_fit.queue()
469	self.calc_fit.ready(2.5)
470
471	except:
472	msg= "%s error: %s" % (engineType,sys.exc_value)
473	wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
474	return
475
476
477	def _add_page_onmenu(self, name,fitproblem=None):
478	"""
479	Add name of a closed page of fitpanel in a menu
480	"""
481	list = self.menu1.GetMenuItems()
482	for item in list:
483	if name == item.GetItemLabel():
484	self.closed_page_dict[name][1] = fitproblem
485
486	if not name in self.closed_page_dict.keys():
487	# Post paramters
488	event_id = wx.NewId()
489	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
490	self.closed_page_dict[name]= [event_id, fitproblem]
491	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
492
493
494	def _open_closed_page(self, event):
495	"""
496	reopen a closed page
497	"""
498	for name, value in self.closed_page_dict.iteritems():
499	if event.GetId() in value:
500	id,fitproblem = value
501	if name !="Model":
502	data= fitproblem.get_fit_data()
503	page = self.fit_panel.add_fit_page(data= data,reset=True)
504	if fitproblem != None:
505	self.page_finder[page]=fitproblem
506	if self.sim_page != None:
507	self.sim_page.draw_page()
508
509	else:
510	model = fitproblem
511	self.fit_panel.add_model_page(model=model, topmenu=True,
512	reset= True)
513	break
514
515
516	def _reset_schedule_problem(self, value=0):
517	"""
518	unschedule or schedule all fitproblem to be fit
519	"""
520	for page, fitproblem in self.page_finder.iteritems():
521	fitproblem.schedule_tofit(value)
522
523	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
524	"""
525	helper for fitting
526	"""
527	metadata = value.get_fit_data()
528	model = value.get_model()
529	smearer = value.get_smearer()
530	qmin , qmax = value.get_range()
531	self.fit_id =id
532	#Create list of parameters for fitting used
533	templist=[]
534	pars=pars
535	try:
536	## create a park model and reset parameter value if constraint
537	## is given
538	new_model = Model(model)
539	param = value.get_model_param()
540	if len(param)>0:
541	for item in param:
542	param_value = item[1]
543	param_name = item[0]
544	## check if constraint
545	if param_value !=None and param_name != None:
546	new_model.parameterset[ param_name].set( param_value )
547
548	#Do the single fit
549	self.fitter.set_model(new_model, self.fit_id, pars)
550
551	self.fitter.set_data(data=metadata,Uid=self.fit_id,
552	smearer=smearer,qmin= qmin,qmax=qmax )
553
554	self.fitter.select_problem_for_fit(Uid= self.fit_id,
555	value= value.get_scheduled())
556	value.clear_model_param()
557	except:
558	msg= title +" error: %s" % sys.exc_value
559	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
560	return
561
562	def _onSelect(self,event):
563	"""
564	when Select data to fit a new page is created .Its reference is
565	added to self.page_finder
566	"""
567	self.panel = event.GetEventObject()
568	for plottable in self.panel.graph.plottables:
569
570	if plottable.name == self.panel.graph.selected_plottable:
571	if not hasattr(plottable, "is_data")or \
572	plottable.__class__.__name__=="Theory1D":
573	dy=numpy.zeros(len(plottable.y))
574	if hasattr(plottable, "dy"):
575	dy= copy.deepcopy(plottable.dy)
576	item= self.copy_data(plottable, dy)
577	item.group_id += "data1D"
578	item.id +="data1D"
579	item.is_data= False
580	title = item.name
581	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
582	else:
583	item= copy.deepcopy(plottable)
584	## put the errors values back to the model if the errors were hiden
585	## before sending them to the fit engine
586	if len(self.err_dy)>0:
587	if item.name in self.err_dy.iterkeys():
588	dy= self.err_dy[item.name]
589	data= self.copy_data(item, dy)
590	else:
591	data= copy.deepcopy(item)
592	else:
593	if item.dy==None:
594	dy= numpy.zeros(len(item.y))
595	data= self.copy_data(item, dy)
596	else:
597	data= copy.deepcopy(item)
598	else:
599	## Data2D case
600	if not hasattr(plottable, "is_data"):
601	item= copy.deepcopy(plottable)
602	item.group_id += "data2D"
603	item.id +="data2D"
604	item.is_data= False
605	title = item.name
606	title += " Fit"
607	data = item
608	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
609	else:
610	item= copy.deepcopy(plottable )
611	data= copy.deepcopy(plottable )
612	## create anew page
613	if item.name == self.panel.graph.selected_plottable or\
614	item.__class__.__name__ is "Data2D":
615	try:
616	page = self.fit_panel.add_fit_page(data)
617	# add data associated to the page created
618	if page !=None:
619	#create a fitproblem storing all link to data,model,page creation
620	if not page in self.page_finder.keys():
621	self.page_finder[page]= FitProblem()
622	## item is almost the same as data but contains
623	## axis info for plotting
624	self.page_finder[page].add_plotted_data(item)
625	self.page_finder[page].add_fit_data(data)
626
627	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
628	else:
629	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
630	except:
631	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
632	%sys.exc_value))
633	return
634
635	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
636	"""
637	Display fit result on one page of the notebook.
638	@param result: result of fit
639	@param pars: list of names of parameters fitted
640	@param current_pg: the page where information will be displayed
641	@param qmin: the minimum value of x to replot the model
642	@param qmax: the maximum value of x to replot model
643
644	"""
645	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
646	complete! " , type="stop"))
647	try:
648	for page, value in self.page_finder.iteritems():
649	if page==cpage :
650	model= value.get_model()
651	break
652	i = 0
653	for name in pars:
654	if result.pvec.__class__==numpy.float64:
655	model.setParam(name,result.pvec)
656	else:
657	model.setParam(name,result.pvec[i])
658	i += 1
659	## Reset values of the current page to fit result
660	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
661	## plot the current model with new param
662	metadata = self.page_finder[cpage].get_fit_data()
663	model = self.page_finder[cpage].get_model()
664	qmin, qmax= self.page_finder[cpage].get_range()
665	smearer =self.page_finder[cpage].get_smearer()
666	#Replot models
667	msg= "Single Fit completed. plotting... %s:"%model.name
668	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
669	self.draw_model( model=model, data= metadata, smearer= smearer,
670	qmin= qmin, qmax= qmax)
671
672	except:
673	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
674	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
675	return
676
677
678	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
679	"""
680	Parameter estimation completed,
681	display the results to the user
682	@param alpha: estimated best alpha
683	@param elapsed: computation time
684	"""
685	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
686	complete ", type="stop"))
687
688	## fit more than 1 model at the same time
689	try:
690	for page, value in self.page_finder.iteritems():
691	if value.get_scheduled()==1:
692	model = value.get_model()
693	metadata = value.get_plotted_data()
694	small_out = []
695	small_cov = []
696	i = 0
697	#Separate result in to data corresponding to each page
698	for p in result.parameters:
699	model_name,param_name = self.split_string(p.name)
700	if model.name == model_name:
701	p_name= model.name+"."+param_name
702	if p.name == p_name:
703	small_out.append(p.value )
704	model.setParam(param_name,p.value)
705	"""
706	if p.stderr==None:
707	p.stderr=numpy.nan
708	small_cov.append(p.stderr)
709	else:
710	small_cov.append(p.stderr)
711	"""
712	small_cov.append(p.stderr)
713	else:
714	value= model.getParam(param_name)
715	small_out.append(value )
716	#small_cov.append(numpy.nan)
717	small_cov.append(None)
718	# Display result on each page
719	page.onsetValues(result.fitness, small_out,small_cov)
720	#Replot models
721	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
722	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
723	qmin, qmax= page.get_range()
724	smearer =self.page_finder[page].get_smearer()
725	self.draw_model( model=model, data= metadata, smearer=smearer,
726	qmin= qmin, qmax= qmax)
727
728	except:
729	msg= "Simultaneous Fit completed"
730	msg +=" but Following error occurred:%s"%sys.exc_value
731	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
732	return
733
734
735
736	def _on_show_panel(self, event):
737	print "_on_show_panel: fitting"
738
739
740	def _onset_engine_park(self,event):
741	"""
742	set engine to park
743	"""
744	self._on_change_engine('park')
745
746
747	def _onset_engine_scipy(self,event):
748	"""
749	set engine to scipy
750	"""
751	self._on_change_engine('scipy')
752
753	def _on_slicer_event(self, event):
754	"""
755	Receive a panel as event and send it to guiframe
756	@param event: event containing a panel
757	"""
758	if event.panel!=None:
759	new_panel = event.panel
760	# Set group ID if available
761	event_id = self.parent.popup_panel(new_panel)
762	#self.menu3.Append(event_id, new_panel.window_caption,
763	# "Show %s plot panel" % new_panel.window_caption)
764	# Set UID to allow us to reference the panel later
765	new_panel.uid = event_id
766	self.mypanels.append(new_panel)
767	return
768
769
770	def _return_engine_type(self):
771	"""
772	return the current type of engine
773	"""
774	return self._fit_engine
775
776
777	def _on_change_engine(self, engine='park'):
778	"""
779	Allow to select the type of engine to perform fit
780	@param engine: the key work of the engine
781	"""
782	## saving fit engine name
783	self._fit_engine = engine
784	## change menu item state
785	if engine=="park":
786	self.menu1.FindItemByPosition(0).Check(False)
787	self.menu1.FindItemByPosition(1).Check(True)
788	else:
789	self.menu1.FindItemByPosition(0).Check(True)
790	self.menu1.FindItemByPosition(1).Check(False)
791
792	## post a message to status bar
793	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
794
795	## Bind every open fit page with a newevent to know the current fitting engine
796	import fitpage
797	event= fitpage.FitterTypeEvent()
798	event.type = self._fit_engine
799	for key in self.page_finder.keys():
800	wx.PostEvent(key, event)
801
802
803	def _on_model_panel(self, evt):
804	"""
805	react to model selection on any combo box or model menu.plot the model
806	@param evt: wx.combobox event
807	"""
808	model = evt.model
809
810	if model ==None:
811	return
812
813	current_pg = self.fit_panel.get_current_page()
814	## make sure nothing is done on self.sim_page
815	## example trying to call set_panel on self.sim_page
816	if current_pg != self.sim_page :
817
818	if self.page_finder[current_pg].get_model()== None :
819
820	model.name="M"+str(self.index_model)
821	self.index_model += 1
822	else:
823	model.name= self.page_finder[current_pg].get_model().name
824
825	metadata = self.page_finder[current_pg].get_plotted_data()
826
827	# save the name containing the data name with the appropriate model
828	self.page_finder[current_pg].set_model(model)
829	qmin, qmax= current_pg.get_range()
830	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
831	smearer= self.page_finder[current_pg].get_smearer()
832	# save model name
833	self.draw_model( model=model,smearer=smearer,
834	data= metadata, qmin=qmin, qmax=qmax)
835
836	if self.sim_page!=None:
837	self.sim_page.draw_page()
838
839
840
841	def _on_model_menu(self, evt):
842	"""
843	Plot a theory from a model selected from the menu
844	@param evt: wx.menu event
845	"""
846	model = evt.model
847
848	# Create a model page. If a new page is created, the model
849	# will be plotted automatically. If a page already exists,
850	# the content will be updated and the plot refreshed
851	self.fit_panel.add_model_page(model,topmenu=True)
852
853
854
855
856	def _update1D(self,x, output):
857	"""
858	Update the output of plotting model 1D
859	"""
860	wx.PostEvent(self.parent, StatusEvent(status="Plot \
861	#updating ... ",type="update"))
862	self.calc_thread.ready(0.01)
863
864	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
865	"""
866	fill Data2D with default value
867	@param theory: Data2D to fill
868	"""
869	from DataLoader.data_info import Detector, Source
870
871	detector = Detector()
872	theory.detector.append(detector)
873
874	theory.detector[0].distance=1e+32
875	theory.source= Source()
876	theory.source.wavelength=2*math.pi/1e+32
877
878	## Create detector for Model 2D
879	xmax=2theory.detector[0].distancemath.atan(\
880	qmax/(4*math.pi/theory.source.wavelength))
881
882	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
883	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
884	theory.detector[0].beam_center.x= qmax
885	theory.detector[0].beam_center.y= qmax
886	## create x_bins and y_bins of the model 2D
887	distance = theory.detector[0].distance
888	pixel = qstep/2-1
889	theta = pixel / distance / qstep#100.0
890	wavelength = theory.source.wavelength
891	pixel_width_x = theory.detector[0].pixel_size.x
892	pixel_width_y = theory.detector[0].pixel_size.y
893	center_x = theory.detector[0].beam_center.x/pixel_width_x
894	center_y = theory.detector[0].beam_center.y/pixel_width_y
895
896
897	size_x, size_y= numpy.shape(theory.data)
898	for i_x in range(size_x):
899	theta = (i_x-center_x)*pixel_width_x / distance
900	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
901	theory.x_bins.append(qx)
902	for i_y in range(size_y):
903	theta = (i_y-center_y)*pixel_width_y / distance
904	qy =4.0math.pi/wavelength math.tan(theta/2.0)
905	theory.y_bins.append(qy)
906
907	theory.group_id ="Model"
908	theory.id ="Model"
909	## determine plot boundaries
910	theory.xmin= -qmax
911	theory.xmax= qmax
912	theory.ymin= -qmax
913	theory.ymax= qmax
914
915
916	def _get_plotting_info(self, data=None):
917	"""
918	get plotting info from data if data !=None
919	else use some default
920	"""
921	my_info = PlotInfo()
922	if data !=None:
923	if hasattr(data,"info"):
924	x_name, x_units = data.get_xaxis()
925	y_name, y_units = data.get_yaxis()
926
927	my_info._xunit = x_units
928	my_info._xaxis = x_name
929	my_info._yunit = y_units
930	my_info._yaxis = y_name
931
932	my_info.title= data.name
933	if hasattr(data, "info"):
934	my_info.info= data.info
935	if hasattr(data, "group_id"):
936	my_info.group_id= data.group_id
937
938	return my_info
939
940	def _complete1D(self, x,y, elapsed,model,data=None):
941	"""
942	Complete plotting 1D data
943	"""
944
945	try:
946
947	new_plot = Theory1D(x=x, y=y)
948	my_info = self._get_plotting_info( data)
949	new_plot.name = model.name
950	new_plot.id = my_info.id
951	new_plot.group_id = my_info.group_id
952
953	new_plot.xaxis( my_info._xaxis, my_info._xunit)
954	new_plot.yaxis( my_info._yaxis, my_info._yunit)
955	if data!=None:
956	if new_plot.id == data.id:
957	new_plot.id += "Model"
958
959	# Pass the reset flag to let the plotting event handler
960	# know that we are replacing the whole plot
961	title= my_info.title
962	if title== None:
963	title = "Analytical model 1D "
964	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
965	title= str(title), reset=True ))
966	else:
967	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
968	title= str(title)))
969	msg = "Plot 1D complete !"
970	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
971	except:
972	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
973	msg+= " %s"%sys.exc_value
974	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
975	return
976
977
978
979
980	def _update2D(self, output,time=None):
981	"""
982	Update the output of plotting model
983	"""
984	wx.PostEvent(self.parent, StatusEvent(status="Plot \
985	#updating ... ",type="update"))
986	self.calc_thread.ready(0.01)
987
988
989	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
990	"""
991	Complete get the result of modelthread and create model 2D
992	that can be plot.
993	"""
994
995
996	err_image = numpy.zeros(numpy.shape(image))
997
998	theory= Data2D(image= image , err_image= err_image)
999	theory.name= model.name
1000
1001	if data ==None:
1002	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
1003
1004	else:
1005	theory.id= "Model"
1006	theory.group_id= "Model"+data.name
1007	theory.x_bins= data.x_bins
1008	theory.y_bins= data.y_bins
1009	theory.detector= data.detector
1010	theory.source= data.source
1011
1012	## plot boundaries
1013	theory.ymin= data.ymin
1014	theory.ymax= data.ymax
1015	theory.xmin= data.xmin
1016	theory.xmax= data.xmax
1017	print "model comptele plot",theory.xmin,theory.xmax,theory.ymin,theory.ymin
1018
1019	## plot
1020	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1021	title="Analytical model 2D ", reset=True ))
1022	msg = "Plot 2D complete !"
1023	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1024
1025	def _on_data_error(self, event):
1026	"""
1027	receives and event from plotting plu-gins to store the data name and
1028	their errors of y coordinates for 1Data hide and show error
1029	"""
1030	self.err_dy= event.err_dy
1031
1032	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1033	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1034	"""
1035	draw model in 2D
1036	@param model: instance of the model to draw
1037	@param description: the description of the model
1038	@param enable2D: when True allows to draw model 2D
1039	@param qmin: the minimum value to draw model 2D
1040	@param qmax: the maximum value to draw model 2D
1041	@param qstep: the number of division of Qx and Qy of the model to draw
1042
1043	"""
1044
1045	x= numpy.linspace(start= -1*qmax,
1046	stop= qmax,
1047	num= qstep,
1048	endpoint=True )
1049	y = numpy.linspace(start= -1*qmax,
1050	stop= qmax,
1051	num= qstep,
1052	endpoint=True )
1053	## use data info instead
1054	if data !=None:
1055	## check if data2D to plot
1056	if hasattr(data, "x_bins"):
1057	enable2D = True
1058	x= data.x_bins
1059	y= data.y_bins
1060
1061	if not enable2D:
1062	return
1063	try:
1064	from model_thread import Calc2D
1065	## If a thread is already started, stop it
1066	if self.calc_2D != None and self.calc_2D.isrunning():
1067	self.calc_2D.stop()
1068	self.calc_2D = Calc2D( x= x,
1069	y= y,
1070	model= model,
1071	data = data,
1072	qmin= qmin,
1073	qmax= qmax,
1074	qstep= qstep,
1075	completefn= self._complete2D,
1076	updatefn= self._update2D )
1077	self.calc_2D.queue()
1078
1079	except:
1080	msg= " Error occurred when drawing %s Model 2D: "%model.name
1081	msg+= " %s"%sys.exc_value
1082	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1083	return
1084
1085	def _draw_model1D(self, model, data=None, smearer= None,
1086	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1087	"""
1088	Draw model 1D from loaded data1D
1089	@param data: loaded data
1090	@param model: the model to plot
1091	"""
1092
1093	x= numpy.linspace(start= qmin,
1094	stop= qmax,
1095	num= qstep,
1096	endpoint=True
1097	)
1098	if data!=None:
1099	## check for data2D
1100	if hasattr(data,"x_bins"):
1101	return
1102	x = data.x
1103	if qmin == DEFAULT_QMIN :
1104	qmin = min(data.x)
1105	if qmax == DEFAULT_QMAX:
1106	qmax = max(data.x)
1107
1108
1109	if not enable1D:
1110	return
1111
1112	try:
1113	from model_thread import Calc1D
1114	## If a thread is already started, stop it
1115	if self.calc_1D!= None and self.calc_1D.isrunning():
1116	self.calc_1D.stop()
1117	self.calc_1D= Calc1D( x= x,
1118	data = data,
1119	model= model,
1120	qmin = qmin,
1121	qmax = qmax,
1122	smearer = smearer,
1123	completefn = self._complete1D,
1124	updatefn = self._update1D )
1125	self.calc_1D.queue()
1126
1127	except:
1128	msg= " Error occurred when drawing %s Model 1D: "%model.name
1129	msg+= " %s"%sys.exc_value
1130	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1131	return
1132
1133
1134
1135
1136
1137	if __name__ == "__main__":
1138	i = Plugin()
1139
1140
1141
1142

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 6ed82c7

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