Copy of fitting.py @ bb7d8a4

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 bb7d8a4 was 2140e68, checked in by Gervaise Alina <gervyh@…>, 16 years ago
drawing sim_page
Property mode set to `100644`
File size: 41.7 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	self.sim_page= self.fit_panel.add_sim_page()
123	self.sim_page.draw_page(self.page_finder)
124
125
126	def help(self, evt):
127	"""
128	Show a general help dialog.
129	TODO: replace the text with a nice image
130	"""
131	from helpPanel import HelpWindow
132	frame = HelpWindow(None, -1, 'HelpWindow')
133	frame.Show(True)
134
135
136	def get_context_menu(self, graph=None):
137	"""
138	Get the context menu items available for P(r)
139	@param graph: the Graph object to which we attach the context menu
140	@return: a list of menu items with call-back function
141	"""
142	self.graph=graph
143	for item in graph.plottables:
144	if item.__class__.__name__ is "Data2D":
145	return [["Select data for Fitting",\
146	"Dialog with fitting parameters ", self._onSelect]]
147	else:
148
149	if item.name==graph.selected_plottable :
150	if not hasattr(item, "group_id"):
151	return []
152	return [["Select data for Fitting", \
153	"Dialog with fitting parameters ", self._onSelect]]
154	return []
155
156
157	def get_panels(self, parent):
158	"""
159	Create and return a list of panel objects
160	"""
161	self.parent = parent
162	# Creation of the fit panel
163	self.fit_panel = FitPanel(self.parent, -1)
164	#Set the manager for the main panel
165	self.fit_panel.set_manager(self)
166	# List of windows used for the perspective
167	self.perspective = []
168	self.perspective.append(self.fit_panel.window_name)
169	# take care of saving data, model and page associated with each other
170	self.page_finder = {}
171	#index number to create random model name
172	self.index_model = 0
173	self.index_theory= 0
174	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
175	self.parent.Bind( ERR_DATA, self._on_data_error)
176
177	#Send the fitting panel to guiframe
178	self.mypanels.append(self.fit_panel)
179	return self.mypanels
180
181
182
183	def get_perspective(self):
184	"""
185	Get the list of panel names for this perspective
186	"""
187	return self.perspective
188
189
190	def on_perspective(self, event):
191	"""
192	Call back function for the perspective menu item.
193	We notify the parent window that the perspective
194	has changed.
195	"""
196	self.parent.set_perspective(self.perspective)
197
198
199	def post_init(self):
200	"""
201	Post initialization call back to close the loose ends
202	[Somehow openGL needs this call]
203	"""
204	self.parent.set_perspective(self.perspective)
205
206
207	def copy_data(self, item, dy):
208	"""
209	receive a data 1D and the list of errors on dy
210	and create a new data1D data
211	@param return
212	"""
213	detector=None
214	source=None
215	dxl=None
216	dxw=None
217	if hasattr(item, "dxl"):
218	dxl = item.dxl
219	if hasattr(item, "dxw"):
220	dxw = item.dxw
221	if hasattr(item, "detector"):
222	detector =item.detector
223	if hasattr(item, "source"):
224	source =item.source
225	from sans.guiframe import dataFitting
226	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
227	data.name=item.name
228	data.detector=detector
229	data.source= source
230	return data
231
232
233
234
235	def schedule_for_fit(self,value=0,fitproblem =None):
236	"""
237	Set the fit problem field to 0 or 1 to schedule that problem to fit.
238	Schedule the specified fitproblem or get the fit problem related to
239	the current page and set value.
240	@param value : integer 0 or 1
241	@param fitproblem: fitproblem to schedule or not to fit
242	"""
243	if fitproblem !=None:
244	fitproblem.schedule_tofit(value)
245	else:
246	current_pg=self.fit_panel.get_current_page()
247	for page, val in self.page_finder.iteritems():
248	if page ==current_pg :
249	val.schedule_tofit(value)
250	break
251
252
253	def get_page_finder(self):
254	""" @return self.page_finder used also by simfitpage.py"""
255	return self.page_finder
256
257
258	def set_page_finder(self,modelname,names,values):
259	"""
260	Used by simfitpage.py to reset a parameter given the string constrainst.
261	@param modelname: the name ot the model for with the parameter has to reset
262	@param value: can be a string in this case.
263	@param names: the paramter name
264	@note: expecting park used for fit.
265	"""
266	sim_page= self.sim_page
267	for page, value in self.page_finder.iteritems():
268	if page != sim_page:
269	list=value.get_model()
270	model = list[0]
271	if model.name== modelname:
272	value.set_model_param(names,values)
273	break
274
275
276
277	def split_string(self,item):
278	"""
279	receive a word containing dot and split it. used to split parameterset
280	name into model name and parameter name example:
281	paramaterset (item) = M1.A
282	@return model_name =M1 , parameter name =A
283	"""
284	if string.find(item,".")!=-1:
285	param_names= re.split("\.",item)
286	model_name=param_names[0]
287	param_name=param_names[1]
288	return model_name,param_name
289
290
291	def stop_fit(self):
292	"""
293	Stop the fit engine
294	"""
295	if self.calc_fit!= None and self.calc_thread.isrunning():
296	self.calc_thread.stop()
297	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
298	is cancelled" , type="stop"))
299
300
301	def on_single_fit(self,id=None,qmin=None, qmax=None):
302	"""
303	perform fit for the current page and return chisqr,out and cov
304	@param engineName: type of fit to be performed
305	@param id: unique id corresponding to a fit problem(model, set of data)
306	@param model: model to fit
307
308	"""
309	#set an engine to perform fit
310	from sans.fit.Fitting import Fit
311	self.fitter = Fit(self._fit_engine)
312	#Setting an id to store model and data in fit engine
313	self.fit_id = 0
314	if id!=None:
315	self.fit_id = id
316
317	page_fitted = None
318	fit_problem = None
319	#Get information (model , data) related to the page on
320	#with the fit will be perform
321	current_pg= self.fit_panel.get_current_page()
322	simul_pg= self.sim_page
323	pars=[]
324	## Check that the current page is different from self.sim_page
325	if current_pg != simul_pg:
326	value = self.page_finder[current_pg]
327	metadata = value.get_fit_data()
328	list = value.get_model()
329	model = list[0]
330	smearer = value.get_smearer()
331
332	#Create list of parameters for fitting used
333	templist=[]
334	try:
335	## get the list of parameter names to fit
336	templist = current_pg.get_param_list()
337
338	for element in templist:
339	pars.append(str(element[1]))
340
341	pars.sort()
342	#Do the single fit
343	self.fitter.set_model(Model(model), self.fit_id, pars)
344	dy=[]
345	x=[]
346	y=[]
347	## checking the validity of error
348	if metadata.__class__ in ["Data1D","Theory1D"]:
349	for i in range(len(metadata.dy)):
350	if metadata.dy[i] !=0:
351	dy.append(metadata.dy[i])
352	x.append(metadata.x[i])
353	y.append(metadata.y[i])
354	if len(dy)>0:
355	metadata.dy=numpy.zeros(len(dy))
356	metadata.dy=dy
357	metadata.y=numpy.zeros(len(y))
358	metadata.y=y
359	metadata.x=numpy.zeros(len(x))
360	metadata.x=x
361
362	self.fitter.set_data(data=metadata,Uid=self.fit_id,
363	smearer=smearer,qmin= qmin,qmax=qmax )
364
365	self.fitter.select_problem_for_fit(Uid= self.fit_id,
366	value= value.get_scheduled())
367	page_fitted=current_pg
368
369	except:
370	msg= "Single Fit error: %s" % sys.exc_value
371	wx.PostEvent(self.parent, StatusEvent(status= msg ))
372	return
373	# make sure to keep an alphabetic order
374	#of parameter names in the list
375	try:
376	## If a thread is already started, stop it
377	if self.calc_fit!= None and self.calc_fit.isrunning():
378	self.calc_fit.stop()
379
380	self.calc_fit=FitThread(parent =self.parent,
381	fn= self.fitter,
382	pars= pars,
383	cpage= page_fitted,
384	qmin=qmin,
385	qmax=qmax,
386
387	completefn=self._single_fit_completed,
388	updatefn=None)
389	self.calc_fit.queue()
390	self.calc_fit.ready(2.5)
391
392	except:
393	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
394	return
395
396	def on_simul_fit(self, id=None,qmin=None,qmax=None):
397	"""
398	perform fit for all the pages selected on simpage and return chisqr,out and cov
399	@param engineName: type of fit to be performed
400	@param id: unique id corresponding to a fit problem(model, set of data)
401	in park_integration
402	@param model: model to fit
403
404	"""
405	##Setting an id to store model and data
406	self.fit_id= 0
407	#Setting an id to store model and data
408	if id!=None:
409	self.fit_id= id
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	## if simultaneous fit change automatically the engine to park
416	if fitproblem_count >1:
417	self._on_change_engine(engine='park')
418	from sans.fit.Fitting import Fit
419	self.fitter= Fit(self._fit_engine)
420
421
422	for page, value in self.page_finder.iteritems():
423	try:
424	if value.get_scheduled()==1:
425	metadata = value.get_fit_data()
426	list = value.get_model()
427	model= list[0]
428	## store page
429	cpage= page
430	#Get list of parameters name to fit
431	pars = []
432	templist = []
433	templist = page.get_param_list()
434	for element in templist:
435	try:
436	name = str(element[0].GetLabelText())
437	pars.append(name)
438	except:
439	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
440	return
441	## create a park model and reset parameter value if constraint
442	## is given
443	new_model=Model(model)
444	param=value.get_model_param()
445
446	if len(param)>0:
447	for item in param:
448	param_value = item[1]
449	param_name = item[0]
450
451	new_model.parameterset[ param_name].set( param_value )
452
453	self.fitter.set_model(new_model, self.fit_id, pars)
454	## check that non -zero value are send as dy in the fit engine
455	dy=[]
456	x=[]
457	y=[]
458	if metadata.__class__ in ["Data1D","Theory1D"]:
459	for i in range(len(metadata.dy)):
460	if metadata.dy[i] !=0:
461	dy.append(metadata.dy[i])
462	x.append(metadata.x[i])
463	y.append(metadata.y[i])
464	if len(dy)>0:
465	metadata.dy=numpy.zeros(len(dy))
466	metadata.dy=dy
467	metadata.y=numpy.zeros(len(y))
468	metadata.y=y
469	metadata.x=numpy.zeros(len(x))
470	metadata.x=x
471
472	self.fitter.set_data(metadata,self.fit_id,qmin,qmax)
473	self.fitter.select_problem_for_fit(Uid= self.fit_id,
474	value= value.get_scheduled())
475	self.fit_id += 1
476	value.clear_model_param()
477
478	except:
479	msg= "Simultaneous Fit error: %s" % sys.exc_value
480	wx.PostEvent(self.parent, StatusEvent(status= msg ))
481	return
482
483	#Do the simultaneous fit
484	try:
485	## If a thread is already started, stop it
486	if self.calc_fit!= None and self.calc_fit.isrunning():
487	self.calc_fit.stop()
488	## perform single fit
489	if fitproblem_count==1:
490	self.calc_fit=FitThread(parent =self.parent,
491	fn= self.fitter,
492	qmin=qmin,
493	qmax=qmax,
494	ymin= ymin,
495	ymax= ymax,
496	cpage=cpage,
497	pars= pars,
498	completefn= self._simul_fit_completed,
499	updatefn=None)
500
501	else:
502	## Perform more than 1 fit at the time
503	self.calc_fit=FitThread(parent =self.parent,
504	fn= self.fitter,
505	qmin=qmin,
506	qmax=qmax,
507	ymin= ymin,
508	ymax= ymax,
509	completefn= self._simul_fit_completed,
510	updatefn=None)
511	self.calc_fit.queue()
512	self.calc_fit.ready(2.5)
513
514	except:
515	msg= "Simultaneous Fit error: %s" % sys.exc_value
516	wx.PostEvent(self.parent, StatusEvent(status= msg ))
517	return
518
519	def set_smearer(self,smearer, qmin=None, qmax=None):
520	"""
521	Get a smear object and store it to a fit problem
522	@param smearer: smear object to allow smearing data
523	"""
524	current_pg=self.fit_panel.get_current_page()
525	self.page_finder[current_pg].set_smearer(smearer)
526	## draw model 1D with smeared data
527	data = self.page_finder[current_pg].get_plotted_data()
528	list = self.page_finder[current_pg].get_model()
529	## if user has already selected a model to plot
530	## redraw the model with data smeared
531	if len(list)>0:
532	model = list[0]
533	smearer =self.page_finder[current_pg].get_smearer()
534	if smearer != None:
535	self.draw_model( model=model, data= data, smearer= smearer,
536	qmin= qmin, qmax= qmax)
537
538
539
540	def draw_model(self, model, data= None,smearer= None,
541	enable1D= True, enable2D= False,
542	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
543	"""
544	Draw model.
545	@param model: the model to draw
546	@param name: the name of the model to draw
547	@param data: the data on which the model is based to be drawn
548	@param description: model's description
549	@param enable1D: if true enable drawing model 1D
550	@param enable2D: if true enable drawing model 2D
551	@param qmin: Range's minimum value to draw model
552	@param qmax: Range's maximum value to draw model
553	@param qstep: number of step to divide the x and y-axis
554
555	"""
556	## draw model 1D with no loaded data
557	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
558	qmin= qmin, qmax= qmax, qstep= qstep )
559	## draw model 2D with no initial data
560	self._draw_model2D(model=model,
561	data = data,
562	enable2D= enable2D,
563	qmin=qmin,
564	qmax=qmax,
565	qstep=qstep)
566
567
568
569	def _onSelect(self,event):
570	"""
571	when Select data to fit a new page is created .Its reference is
572	added to self.page_finder
573	"""
574	self.panel = event.GetEventObject()
575	for item in self.panel.graph.plottables:
576	if item.name == self.panel.graph.selected_plottable:
577	## put the errors values back to the model if the errors were hiden
578	## before sending them to the fit engine
579	if len(self.err_dy)>0:
580	if item.name in self.err_dy.iterkeys():
581	dy= self.err_dy[item.name]
582	data= self.copy_data(item, dy)
583	else:
584	data= item
585	else:
586	if item.dy==None:
587	dy= numpy.zeros(len(item.y))
588	dy[dy==0]=1
589	data= self.copy_data(item, dy)
590	else:
591	data= item
592	else:
593	data= item
594	## create anew page
595	if item.name == self.panel.graph.selected_plottable or\
596	item.__class__.__name__ is "Data2D":
597	try:
598	page = self.fit_panel.add_fit_page(data)
599	# add data associated to the page created
600	if page !=None:
601	#create a fitproblem storing all link to data,model,page creation
602	self.page_finder[page]= FitProblem()
603	## item is almost the same as data but contains
604	## axis info for plotting
605	self.page_finder[page].add_plotted_data(item)
606	self.page_finder[page].add_fit_data(data)
607
608	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
609	else:
610	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
611	except:
612	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
613	%sys.exc_value))
614	return
615
616	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None):
617	"""
618	Display fit result on one page of the notebook.
619	@param result: result of fit
620	@param pars: list of names of parameters fitted
621	@param current_pg: the page where information will be displayed
622	@param qmin: the minimum value of x to replot the model
623	@param qmax: the maximum value of x to replot model
624
625	"""
626	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
627	complete! " , type="stop"))
628	try:
629	for page, value in self.page_finder.iteritems():
630	if page==cpage :
631	list = value.get_model()
632	model= list[0]
633	break
634	i = 0
635	for name in pars:
636	if result.pvec.__class__==numpy.float64:
637	model.setParam(name,result.pvec)
638	else:
639	model.setParam(name,result.pvec[i])
640	i += 1
641	## Reset values of the current page to fit result
642	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
643	## plot the current model with new param
644	metadata = self.page_finder[cpage].get_fit_data()
645	list = self.page_finder[cpage].get_model()
646	model = list[0]
647	self.draw_model( model=model, data= metadata,qmin= qmin, qmax= qmax)
648
649	except:
650	msg= "Single Fit completed but Following error occurred:"
651	wx.PostEvent(self.parent, StatusEvent(status="%s %s" % (msg, sys.exc_value)))
652	return
653
654
655	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
656	xmin=None, xmax=None, ymin=None, ymax=None):
657	"""
658	Parameter estimation completed,
659	display the results to the user
660	@param alpha: estimated best alpha
661	@param elapsed: computation time
662	"""
663	if cpage!=None:
664	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
665	qmin=qmin,qmax=qmax,
666	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
667	return
668	else:
669	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
670	complete ", type="stop"))
671	## fit more than 1 model at the same time
672	try:
673	for page, value in self.page_finder.iteritems():
674	if value.get_scheduled()==1:
675	list = value.get_model()
676	model= list[0]
677
678	small_out = []
679	small_cov = []
680	i = 0
681	#Separate result in to data corresponding to each page
682	for p in result.parameters:
683	model_name,param_name = self.split_string(p.name)
684	if model.name == model_name:
685	small_out.append(p.value )
686	if p.stderr==None:
687	p.stderr=numpy.nan
688	small_cov.append(p.stderr)
689	model.setParam(param_name,p.value)
690
691	# Display result on each page
692	page.onsetValues(result.fitness, small_out,small_cov)
693	#Replot models
694	msg= "Single Fit completed plotting %s:"%model.name
695	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
696	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
697	xmin=xmin, xmax=xmax,
698	ymin=ymin, ymax=ymax)
699	except:
700	msg= "Simultaneous Fit completed but Following error occurred: "
701	wx.PostEvent(self.parent, StatusEvent(status="%s%s" %(msg,sys.exc_value)))
702	return
703
704
705
706	def _on_show_panel(self, event):
707	print "_on_show_panel: fitting"
708
709
710	def _onset_engine_park(self,event):
711	"""
712	set engine to park
713	"""
714	self._on_change_engine('park')
715
716
717	def _onset_engine_scipy(self,event):
718	"""
719	set engine to scipy
720	"""
721	self._on_change_engine('scipy')
722
723	def _on_slicer_event(self, event):
724	"""
725	Receive a panel as event and send it to guiframe
726	@param event: event containing a panel
727	"""
728	if event.panel!=None:
729	new_panel = event.panel
730	# Set group ID if available
731	event_id = self.parent.popup_panel(new_panel)
732	self.menu1.Append(event_id, new_panel.window_caption,
733	"Show %s plot panel" % new_panel.window_caption)
734	# Set UID to allow us to reference the panel later
735	new_panel.uid = event_id
736	new_panel
737	self.mypanels.append(new_panel)
738	return
739
740	def _on_change_engine(self, engine='park'):
741	"""
742	Allow to select the type of engine to perform fit
743	@param engine: the key work of the engine
744	"""
745	self._fit_engine = engine
746	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
747
748
749	def _on_model_panel(self, evt):
750	"""
751	react to model selection on any combo box or model menu.plot the model
752	@param evt: wx.combobox event
753	"""
754	model = evt.model
755	if model ==None:
756	return
757
758	sim_page=self.sim_page
759	current_pg = self.fit_panel.get_current_page()
760	## make sure nothing is done on self.sim_page
761	## example trying to call set_panel on self.sim_page
762	if current_pg != sim_page:
763
764	if self.page_finder[current_pg].get_model()== None :
765
766	model.name="M"+str(self.index_model)
767	self.index_model += 1
768	else:
769
770	model.name= self.page_finder[current_pg].get_model().name
771
772
773	metadata = self.page_finder[current_pg].get_plotted_data()
774
775	# save the name containing the data name with the appropriate model
776	self.page_finder[current_pg].set_model(model)
777	print "wwent hete",model.name
778	# save model name
779	self.draw_model( model=model, data= metadata)
780
781	if self.sim_page!=None:
782	self.sim_page.draw_page(self.page_finder)
783
784
785
786	def _on_model_menu(self, evt):
787	"""
788	Plot a theory from a model selected from the menu
789	@param evt: wx.menu event
790	"""
791	name = evt.model.__class__.__name__
792	if hasattr(evt.model, "name"):
793	name = evt.model.name
794	model=evt.model
795	description=model.description
796
797	# Create a model page. If a new page is created, the model
798	# will be plotted automatically. If a page already exists,
799	# the content will be updated and the plot refreshed
800	self.fit_panel.add_model_page(model,description,name,topmenu=True)
801
802
803
804
805	def _update1D(self,x, output):
806	"""
807	Update the output of plotting model 1D
808	"""
809	self.calc_thread.ready(1)
810
811	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
812	"""
813	fill Data2D with default value
814	@param theory: Data2D to fill
815	"""
816	from DataLoader.data_info import Detector, Source
817
818	detector = Detector()
819	theory.detector.append(detector)
820
821	theory.detector[0].distance=1e+32
822	theory.source= Source()
823	theory.source.wavelength=2*math.pi/1e+32
824
825	## Create detector for Model 2D
826	xmax=2theory.detector[0].distancemath.atan(\
827	qmax/(4*math.pi/theory.source.wavelength))
828
829	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
830	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
831	theory.detector[0].beam_center.x= qmax
832	theory.detector[0].beam_center.y= qmax
833	## create x_bins and y_bins of the model 2D
834	distance = theory.detector[0].distance
835	pixel = qstep/2-1
836	theta = pixel / distance / qstep#100.0
837	wavelength = theory.source.wavelength
838	pixel_width_x = theory.detector[0].pixel_size.x
839	pixel_width_y = theory.detector[0].pixel_size.y
840	center_x = theory.detector[0].beam_center.x/pixel_width_x
841	center_y = theory.detector[0].beam_center.y/pixel_width_y
842
843
844	size_x, size_y= numpy.shape(theory.data)
845	for i_x in range(size_x):
846	theta = (i_x-center_x)*pixel_width_x / distance
847	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
848	theory.x_bins.append(qx)
849	for i_y in range(size_y):
850	theta = (i_y-center_y)*pixel_width_y / distance
851	qy =4.0math.pi/wavelength math.tan(theta/2.0)
852	theory.y_bins.append(qy)
853
854	theory.group_id ="Model"
855	theory.id ="Model"
856	## determine plot boundaries
857	theory.xmin= -qmax
858	theory.xmax= qmax
859	theory.ymin= -qmax
860	theory.ymax= qmax
861
862
863	def _get_plotting_info(self, data=None):
864	"""
865	get plotting info from data if data !=None
866	else use some default
867	"""
868	my_info = PlotInfo()
869	if data !=None:
870	if hasattr(data,"info"):
871	x_name, x_units = data.get_xaxis()
872	y_name, y_units = data.get_yaxis()
873
874	my_info._xunit = x_units
875	my_info._xaxis = x_name
876	my_info._yunit = y_units
877	my_info._yaxis = y_name
878
879	my_info.title= data.name
880	if hasattr(data, "info"):
881	my_info.info= data.info
882	if hasattr(data, "group_id"):
883	my_info.group_id= data.group_id
884
885	return my_info
886
887	def _complete1D(self, x,y, elapsed,model,data=None):
888	"""
889	Complete plotting 1D data
890	"""
891	try:
892	new_plot = Theory1D(x=x, y=y)
893	my_info = self._get_plotting_info( data)
894	new_plot.name = model.name
895	new_plot.id = my_info.id
896	new_plot.group_id = my_info.group_id
897
898	new_plot.xaxis( my_info._xaxis, my_info._xunit)
899	new_plot.yaxis( my_info._yaxis, my_info._yunit)
900
901	# Pass the reset flag to let the plotting event handler
902	# know that we are replacing the whole plot
903	title= my_info.title
904	if title== None:
905	title="Analytical model 1D "
906	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
907	title= str(title), reset=True ))
908	else:
909	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
910	title= str(title)))
911
912	except:
913	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
914	msg+= " %s"%sys.exc_value
915	wx.PostEvent( self.parent, StatusEvent(status= msg ))
916	return
917
918
919
920
921	def _update2D(self, output,time=None):
922	"""
923	Update the output of plotting model
924	"""
925	wx.PostEvent(self.parent, StatusEvent(status="Plot \
926	#updating ... ",type="update"))
927	self.calc_thread.ready(0.01)
928
929
930	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
931	"""
932	Complete get the result of modelthread and create model 2D
933	that can be plot.
934	"""
935	msg = "Calc complete !"
936	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
937
938	err_image = numpy.zeros(numpy.shape(image))
939	err_image[err_image==0]= 1
940	theory= Data2D(image= image , err_image= err_image)
941	theory.name= model.name
942
943	if data ==None:
944	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
945
946	else:
947	theory.id= "Model"
948	theory.group_id= "Model"+data.name
949	theory.x_bins= data.x_bins
950	theory.y_bins= data.y_bins
951	theory.detector= data.detector
952	theory.source= data.source
953
954	## plot boundaries
955	theory.ymin= data.ymin
956	theory.ymax= data.ymax
957	theory.xmin= data.xmin
958	theory.xmax= data.xmax
959
960	## plot
961	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
962	title="Analytical model 2D ", reset=True ))
963
964	def _on_data_error(self, event):
965	"""
966	receives and event from plotting plu-gins to store the data name and
967	their errors of y coordinates for 1Data hide and show error
968	"""
969	self.err_dy= event.err_dy
970
971	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
972	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
973	"""
974	draw model in 2D
975	@param model: instance of the model to draw
976	@param description: the description of the model
977	@param enable2D: when True allows to draw model 2D
978	@param qmin: the minimum value to draw model 2D
979	@param qmax: the maximum value to draw model 2D
980	@param qstep: the number of division of Qx and Qy of the model to draw
981
982	"""
983
984	x= numpy.linspace(start= -1*qmax,
985	stop= qmax,
986	num= qstep,
987	endpoint=True )
988	y = numpy.linspace(start= -1*qmax,
989	stop= qmax,
990	num= qstep,
991	endpoint=True )
992	## use data info instead
993	if data !=None:
994	## check if data2D to plot
995	if hasattr(data, "x_bins"):
996	enable2D = True
997	x= data.x_bins
998	y= data.y_bins
999
1000	if not enable2D:
1001	return
1002	try:
1003	from model_thread import Calc2D
1004	## If a thread is already started, stop it
1005	if self.calc_2D != None and self.calc_2D.isrunning():
1006	self.calc_2D.stop()
1007	self.calc_2D = Calc2D( x= x,
1008	y= y,
1009	model= model,
1010	data = data,
1011	qmin= qmin,
1012	qmax= qmax,
1013	qstep= qstep,
1014	completefn= self._complete2D,
1015	updatefn= self._update2D )
1016	self.calc_2D.queue()
1017
1018	except:
1019	msg= " Error occurred when drawing %s Model 2D: "%model.name
1020	msg+= " %s"%sys.exc_value
1021	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1022	return
1023
1024	def _draw_model1D(self, model, data=None, smearer= None,
1025	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1026	"""
1027	Draw model 1D from loaded data1D
1028	@param data: loaded data
1029	@param model: the model to plot
1030	"""
1031
1032	x= numpy.linspace(start= qmin,
1033	stop= qmax,
1034	num= qstep,
1035	endpoint=True
1036	)
1037	if data!=None:
1038	## check for data2D
1039	if hasattr(data,"x_bins"):
1040	return
1041	x = data.x
1042	if qmin == DEFAULT_QMIN :
1043	qmin = min(data.x)
1044	if qmax == DEFAULT_QMAX:
1045	qmax = max(data.x)
1046
1047	if not enable1D:
1048	return
1049
1050	try:
1051	from model_thread import Calc1D
1052	## If a thread is already started, stop it
1053	if self.calc_1D!= None and self.calc_1D.isrunning():
1054	self.calc_1D.stop()
1055	self.calc_1D= Calc1D( x= x,
1056	data = data,
1057	model= model,
1058	qmin = qmin,
1059	qmax = qmax,
1060	smearer = smearer,
1061	completefn = self._complete1D,
1062	updatefn = self._update1D )
1063	self.calc_1D.queue()
1064
1065	except:
1066	msg= " Error occurred when drawing %s Model 1D: "%model.name
1067	msg+= " %s"%sys.exc_value
1068	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1069	return
1070
1071
1072
1073
1074
1075	if __name__ == "__main__":
1076	i = Plugin()
1077
1078
1079
1080

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

SasView

source: sasview/sansview/perspectives/fitting/Copy of fitting.py @ bb7d8a4

Download in other formats: