1 | |
---|
2 | import wx |
---|
3 | import sys |
---|
4 | import numpy |
---|
5 | import math |
---|
6 | import logging |
---|
7 | |
---|
8 | import models |
---|
9 | import model_panel |
---|
10 | from model_panel import ModelPanel |
---|
11 | from sans.guiframe.events import NewPlotEvent |
---|
12 | from sans.guiframe.events import StatusEvent |
---|
13 | from sans.guiframe.dataFitting import Data2D |
---|
14 | from sans.guiframe.dataFitting import Theory1D |
---|
15 | |
---|
16 | DEFAULT_BEAM = 0.005 |
---|
17 | DEFAULT_QMIN = 0.001 |
---|
18 | DEFAULT_QMAX = 0.13 |
---|
19 | DEFAULT_NPTS = 50 |
---|
20 | |
---|
21 | |
---|
22 | class PlotInfo: |
---|
23 | """ |
---|
24 | store some plotting field |
---|
25 | |
---|
26 | """ |
---|
27 | _xunit = 'A^{-1}' |
---|
28 | _xaxis= "\\rm{Q}" |
---|
29 | _yunit = "cm^{-1}" |
---|
30 | _yaxis= "\\rm{Intensity} " |
---|
31 | id = "Model" |
---|
32 | group_id = "Model" |
---|
33 | title= None |
---|
34 | info= None |
---|
35 | |
---|
36 | from sans.guiframe.plugin_base import PluginBase |
---|
37 | |
---|
38 | class Plugin(PluginBase): |
---|
39 | """ |
---|
40 | This class defines the interface for a Plugin class |
---|
41 | for calculator perspective |
---|
42 | |
---|
43 | """ |
---|
44 | |
---|
45 | def __init__(self, standalone=True): |
---|
46 | PluginBase.__init__(self, name="Theory", standalone=standalone) |
---|
47 | |
---|
48 | # Log startup |
---|
49 | logging.info("Theory plug-in started") |
---|
50 | |
---|
51 | #Provide list of models existing in the application |
---|
52 | self.menu_mng = models.ModelManager() |
---|
53 | # reference to the current running thread |
---|
54 | self.calc_2D = None |
---|
55 | self.calc_1D = None |
---|
56 | |
---|
57 | def use_data(self): |
---|
58 | """ |
---|
59 | return True if these plugin use data |
---|
60 | """ |
---|
61 | return False |
---|
62 | |
---|
63 | def get_panels(self, parent): |
---|
64 | """ |
---|
65 | Create and return the list of wx.Panels for your plug-in. |
---|
66 | Define the plug-in perspective. |
---|
67 | |
---|
68 | Panels should inherit from DefaultPanel defined below, |
---|
69 | or should present the same interface. They must define |
---|
70 | "window_caption" and "window_name". |
---|
71 | |
---|
72 | :param parent: parent window |
---|
73 | |
---|
74 | :return: list of panels |
---|
75 | """ |
---|
76 | ## Save a reference to the parent |
---|
77 | self.parent = parent |
---|
78 | # Define a panel |
---|
79 | self.model_panel= ModelPanel(self.parent, page_info =None, |
---|
80 | model_list_box= self.menu_mng.get_model_list().get_list()) |
---|
81 | self.model_panel.set_manager(self) |
---|
82 | # If needed, add its name to the perspective list |
---|
83 | self.perspective.append(self.model_panel.window_name) |
---|
84 | self.parent.Bind(model_panel.EVT_MODEL_BOX,self._on_model_panel) |
---|
85 | # Return the list of panels |
---|
86 | return [self.model_panel] |
---|
87 | |
---|
88 | |
---|
89 | def draw_model(self, model, data= None,smearer= None, |
---|
90 | enable1D= True, enable2D= False, |
---|
91 | qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS): |
---|
92 | """ |
---|
93 | Draw model. |
---|
94 | |
---|
95 | :param model: the model to draw |
---|
96 | :param name: the name of the model to draw |
---|
97 | :param data: the data on which the model is based to be drawn |
---|
98 | :param description: model's description |
---|
99 | :param enable1D: if true enable drawing model 1D |
---|
100 | :param enable2D: if true enable drawing model 2D |
---|
101 | :param qmin: Range's minimum value to draw model |
---|
102 | :param qmax: Range's maximum value to draw model |
---|
103 | :param qstep: number of step to divide the x and y-axis |
---|
104 | |
---|
105 | """ |
---|
106 | ## draw model 1D with no loaded data |
---|
107 | self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer, |
---|
108 | qmin= qmin, qmax= qmax, qstep= qstep ) |
---|
109 | ## draw model 2D with no initial data |
---|
110 | self._draw_model2D(model=model, |
---|
111 | data = data, |
---|
112 | enable2D= enable2D, |
---|
113 | qmin=qmin, |
---|
114 | qmax=qmax, |
---|
115 | qstep=qstep) |
---|
116 | |
---|
117 | def _on_model_panel(self, evt): |
---|
118 | """ |
---|
119 | react to model selection on any combo box or model menu.plot the model |
---|
120 | |
---|
121 | :param evt: wx.combobox event |
---|
122 | |
---|
123 | """ |
---|
124 | model = evt.model |
---|
125 | qmin = evt.qmin |
---|
126 | qmax = evt.qmax |
---|
127 | qstep = evt.qstep |
---|
128 | if model ==None: |
---|
129 | return |
---|
130 | # save model name |
---|
131 | self.draw_model(model=model, qmin=qmin, qmax=qmax, qstep=qstep) |
---|
132 | |
---|
133 | def _draw_model2D(self,model,data=None, enable2D=False, |
---|
134 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
135 | """ |
---|
136 | draw model in 2D |
---|
137 | |
---|
138 | :param model: instance of the model to draw |
---|
139 | :param enable2D: when True allows to draw model 2D |
---|
140 | :param qmin: the minimum value to draw model 2D |
---|
141 | :param qmax: the maximum value to draw model 2D |
---|
142 | :param qstep: the number of division of Qx and Qy of the model to draw |
---|
143 | |
---|
144 | """ |
---|
145 | x= numpy.linspace(start= -1*qmax, |
---|
146 | stop= qmax, |
---|
147 | num= qstep, |
---|
148 | endpoint=True ) |
---|
149 | y = numpy.linspace(start= -1*qmax, |
---|
150 | stop= qmax, |
---|
151 | num= qstep, |
---|
152 | endpoint=True ) |
---|
153 | |
---|
154 | ## use data info instead |
---|
155 | if data !=None: |
---|
156 | ## check if data2D to plot |
---|
157 | if hasattr(data, "x_bins"): |
---|
158 | enable2D = True |
---|
159 | x= data.x_bins |
---|
160 | y= data.y_bins |
---|
161 | |
---|
162 | if not enable2D: |
---|
163 | return |
---|
164 | try: |
---|
165 | from model_thread import Calc2D |
---|
166 | ## If a thread is already started, stop it |
---|
167 | if self.calc_2D != None and self.calc_2D.isrunning(): |
---|
168 | self.calc_2D.stop() |
---|
169 | self.calc_2D = Calc2D( x= x, |
---|
170 | y= y, |
---|
171 | model= model, |
---|
172 | data = data, |
---|
173 | qmin= qmin, |
---|
174 | qmax= qmax, |
---|
175 | qstep= qstep, |
---|
176 | completefn= self._complete2D, |
---|
177 | updatefn= self._update2D ) |
---|
178 | self.calc_2D.queue() |
---|
179 | |
---|
180 | except: |
---|
181 | raise |
---|
182 | #msg= " Error occurred when drawing %s Model 2D: "%model.name |
---|
183 | #msg+= " %s"%sys.exc_value |
---|
184 | #wx.PostEvent( self.parent, StatusEvent(status= msg )) |
---|
185 | #return |
---|
186 | |
---|
187 | def _draw_model1D(self, model, data=None, smearer= None, |
---|
188 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS, |
---|
189 | enable1D= True): |
---|
190 | """ |
---|
191 | Draw model 1D from loaded data1D |
---|
192 | |
---|
193 | :param data: loaded data |
---|
194 | :param model: the model to plot |
---|
195 | |
---|
196 | """ |
---|
197 | x= numpy.linspace(start= qmin, |
---|
198 | stop= qmax, |
---|
199 | num= qstep, |
---|
200 | endpoint=True |
---|
201 | ) |
---|
202 | if data!=None: |
---|
203 | ## check for data2D |
---|
204 | if hasattr(data,"x_bins"): |
---|
205 | return |
---|
206 | x = data.x |
---|
207 | if qmin == DEFAULT_QMIN : |
---|
208 | qmin = min(data.x) |
---|
209 | if qmax == DEFAULT_QMAX: |
---|
210 | qmax = max(data.x) |
---|
211 | |
---|
212 | |
---|
213 | if not enable1D: |
---|
214 | return |
---|
215 | |
---|
216 | try: |
---|
217 | from model_thread import Calc1D |
---|
218 | ## If a thread is already started, stop it |
---|
219 | if self.calc_1D!= None and self.calc_1D.isrunning(): |
---|
220 | self.calc_1D.stop() |
---|
221 | self.calc_1D= Calc1D( x= x, |
---|
222 | data = data, |
---|
223 | model= model, |
---|
224 | qmin = qmin, |
---|
225 | qmax = qmax, |
---|
226 | smearer = smearer, |
---|
227 | completefn = self._complete1D, |
---|
228 | updatefn = self._update1D ) |
---|
229 | self.calc_1D.queue() |
---|
230 | |
---|
231 | except: |
---|
232 | msg = " Error occurred when drawing %s Model 1D: "%model.name |
---|
233 | msg += " %s"%sys.exc_value |
---|
234 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
235 | |
---|
236 | def _update1D(self,x, output): |
---|
237 | """ |
---|
238 | Update the output of plotting model 1D |
---|
239 | |
---|
240 | """ |
---|
241 | wx.PostEvent(self.parent, StatusEvent(status="Plot \ |
---|
242 | #updating ... ",type="update")) |
---|
243 | self.ready_fit() |
---|
244 | #self.calc_thread.ready(0.01) |
---|
245 | |
---|
246 | def _fill_default_model2D(self, theory, qmax,qstep, qmin=None): |
---|
247 | """ |
---|
248 | fill Data2D with default value |
---|
249 | |
---|
250 | :param theory: Data2D to fill |
---|
251 | |
---|
252 | """ |
---|
253 | from DataLoader.data_info import Detector, Source |
---|
254 | |
---|
255 | detector = Detector() |
---|
256 | theory.detector.append(detector) |
---|
257 | theory.source= Source() |
---|
258 | |
---|
259 | ## Default values |
---|
260 | theory.detector[0].distance= 8000 # mm |
---|
261 | theory.source.wavelength= 6 # A |
---|
262 | theory.detector[0].pixel_size.x= 5 # mm |
---|
263 | theory.detector[0].pixel_size.y= 5 # mm |
---|
264 | |
---|
265 | theory.detector[0].beam_center.x= qmax |
---|
266 | theory.detector[0].beam_center.y= qmax |
---|
267 | |
---|
268 | |
---|
269 | ## create x_bins and y_bins of the model 2D |
---|
270 | pixel_width_x = theory.detector[0].pixel_size.x |
---|
271 | pixel_width_y = theory.detector[0].pixel_size.y |
---|
272 | center_x = theory.detector[0].beam_center.x/pixel_width_x |
---|
273 | center_y = theory.detector[0].beam_center.y/pixel_width_y |
---|
274 | |
---|
275 | # theory default: assume the beam center is located at the center of sqr detector |
---|
276 | xmax = qmax |
---|
277 | xmin = -qmax |
---|
278 | ymax = qmax |
---|
279 | ymin = -qmax |
---|
280 | |
---|
281 | x= numpy.linspace(start= -1*qmax, |
---|
282 | stop= qmax, |
---|
283 | num= qstep, |
---|
284 | endpoint=True ) |
---|
285 | y = numpy.linspace(start= -1*qmax, |
---|
286 | stop= qmax, |
---|
287 | num= qstep, |
---|
288 | endpoint=True ) |
---|
289 | |
---|
290 | ## use data info instead |
---|
291 | new_x = numpy.tile(x, (len(y),1)) |
---|
292 | new_y = numpy.tile(y, (len(x),1)) |
---|
293 | new_y = new_y.swapaxes(0,1) |
---|
294 | |
---|
295 | # all data reuire now in 1d array |
---|
296 | qx_data = new_x.flatten() |
---|
297 | qy_data = new_y.flatten() |
---|
298 | |
---|
299 | q_data = numpy.sqrt(qx_data*qx_data+qy_data*qy_data) |
---|
300 | # set all True (standing for unmasked) as default |
---|
301 | mask = numpy.ones(len(qx_data), dtype = bool) |
---|
302 | |
---|
303 | # calculate the range of qx and qy: this way, it is a little more independent |
---|
304 | x_size = xmax- xmin |
---|
305 | y_size = ymax -ymin |
---|
306 | |
---|
307 | # store x and y bin centers in q space |
---|
308 | x_bins = x |
---|
309 | y_bins = y |
---|
310 | # bin size: x- & y-directions |
---|
311 | xstep = x_size/len(x_bins-1) |
---|
312 | ystep = y_size/len(y_bins-1) |
---|
313 | |
---|
314 | #theory.data = numpy.zeros(len(mask)) |
---|
315 | theory.err_data = numpy.ones(len(mask)) |
---|
316 | theory.qx_data = qx_data |
---|
317 | theory.qy_data = qy_data |
---|
318 | theory.q_data = q_data |
---|
319 | theory.mask = mask |
---|
320 | theory.x_bins = x_bins |
---|
321 | theory.y_bins = y_bins |
---|
322 | |
---|
323 | # max and min taking account of the bin sizes |
---|
324 | theory.xmin= xmin |
---|
325 | theory.xmax= xmax |
---|
326 | theory.ymin= ymin |
---|
327 | theory.ymax= ymax |
---|
328 | theory.group_id = "Model" |
---|
329 | theory.id = "Model" |
---|
330 | |
---|
331 | def _get_plotting_info(self, data=None): |
---|
332 | """ |
---|
333 | get plotting info from data if data !=None |
---|
334 | else use some default |
---|
335 | |
---|
336 | """ |
---|
337 | my_info = PlotInfo() |
---|
338 | if data !=None: |
---|
339 | if hasattr(data,"info"): |
---|
340 | x_name, x_units = data.get_xaxis() |
---|
341 | y_name, y_units = data.get_yaxis() |
---|
342 | |
---|
343 | my_info._xunit = x_units |
---|
344 | my_info._xaxis = x_name |
---|
345 | my_info._yunit = y_units |
---|
346 | my_info._yaxis = y_name |
---|
347 | |
---|
348 | my_info.title= data.name |
---|
349 | if hasattr(data, "info"): |
---|
350 | my_info.info= data.info |
---|
351 | if hasattr(data, "group_id"): |
---|
352 | my_info.group_id= data.group_id |
---|
353 | |
---|
354 | return my_info |
---|
355 | |
---|
356 | def _complete1D(self, x,y, elapsed,model,data=None): |
---|
357 | """ |
---|
358 | Complete plotting 1D data |
---|
359 | |
---|
360 | """ |
---|
361 | |
---|
362 | try: |
---|
363 | new_plot = Theory1D(x=x, y=y) |
---|
364 | my_info = self._get_plotting_info( data) |
---|
365 | new_plot.name = model.name |
---|
366 | new_plot.id = my_info.id |
---|
367 | new_plot.group_id = my_info.group_id |
---|
368 | |
---|
369 | new_plot.xaxis( my_info._xaxis, my_info._xunit) |
---|
370 | new_plot.yaxis( my_info._yaxis, my_info._yunit) |
---|
371 | if data!=None: |
---|
372 | if new_plot.id == data.id: |
---|
373 | new_plot.id += "Model" |
---|
374 | new_plot.is_data =False |
---|
375 | |
---|
376 | # Pass the reset flag to let the plotting event handler |
---|
377 | # know that we are replacing the whole plot |
---|
378 | |
---|
379 | title = "Analytical model 1D " |
---|
380 | if data ==None: |
---|
381 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
382 | title= str(title), reset=True )) |
---|
383 | else: |
---|
384 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
385 | title= str(title))) |
---|
386 | msg = "Plot 1D complete !" |
---|
387 | wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" )) |
---|
388 | except: |
---|
389 | msg= " Error occurred when drawing %s Model 1D: "%new_plot.name |
---|
390 | msg+= " %s"%sys.exc_value |
---|
391 | wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" )) |
---|
392 | return |
---|
393 | |
---|
394 | def _update2D(self, output,time=None): |
---|
395 | """ |
---|
396 | Update the output of plotting model |
---|
397 | |
---|
398 | """ |
---|
399 | wx.PostEvent(self.parent, StatusEvent(status="Plot \ |
---|
400 | #updating ... ",type="update")) |
---|
401 | self.ready_fit() |
---|
402 | #self.calc_thread.ready(0.01) |
---|
403 | |
---|
404 | def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS): |
---|
405 | """ |
---|
406 | Complete get the result of modelthread and create model 2D |
---|
407 | that can be plot. |
---|
408 | |
---|
409 | """ |
---|
410 | err_image = numpy.zeros(numpy.shape(image)) |
---|
411 | |
---|
412 | theory= Data2D(image= image , err_image= err_image) |
---|
413 | theory.name= model.name |
---|
414 | |
---|
415 | if data ==None: |
---|
416 | self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin) |
---|
417 | |
---|
418 | else: |
---|
419 | theory.id= data.id+"Model" |
---|
420 | theory.group_id= data.name+"Model" |
---|
421 | theory.x_bins= data.x_bins |
---|
422 | theory.y_bins= data.y_bins |
---|
423 | theory.detector= data.detector |
---|
424 | theory.source= data.source |
---|
425 | theory.is_data =False |
---|
426 | theory.qx_data = data.qx_data |
---|
427 | theory.qy_data = data.qy_data |
---|
428 | theory.q_data = data.q_data |
---|
429 | theory.err_data = err_image#numpy.zeros(len(data.err_data)) |
---|
430 | theory.mask = data.mask |
---|
431 | ## plot boundaries |
---|
432 | theory.ymin= data.ymin |
---|
433 | theory.ymax= data.ymax |
---|
434 | theory.xmin= data.xmin |
---|
435 | theory.xmax= data.xmax |
---|
436 | |
---|
437 | ## plot |
---|
438 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
439 | title="Analytical model 2D ", reset=True )) |
---|
440 | msg = "Plot 2D complete !" |
---|
441 | wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" )) |
---|
442 | |
---|