fitting.py @ b28717b

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 b28717b was b28717b, checked in by Gervaise Alina <gervyh@…>, 15 years ago
working on simpage
Property mode set to `100644`
File size: 41.9 KB

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

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ b28717b

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