source: sasview/invariantview/perspectives/invariant/invariant.py @ 8897d66

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 8897d66 was 4da35bc, checked in by Jae Cho <jhjcho@…>, 14 years ago

improved theoryplot display from (inv file)

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File size: 12.8 KB
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4################################################################################
5#This software was developed by the University of Tennessee as part of the
6#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
7#project funded by the US National Science Foundation.
8#
9#See the license text in license.txt
10#
11#copyright 2009, University of Tennessee
12################################################################################
13import os
14import sys
15import wx
16import copy
17import logging, time
18from sans.invariant import invariant
19
20from DataLoader.data_info import Data1D as LoaderData1D
21from sans.guiframe.dataFitting import Theory1D, Data1D
22
23from sans.guicomm.events import NewPlotEvent, StatusEvent
24from sans.guicomm.events import ERR_DATA
25from invariant_state import Reader as reader
26from DataLoader.loader import Loader
27from invariant_panel import InvariantPanel
28(InvStateUpdateEvent, EVT_STATE_UPDATE)   = wx.lib.newevent.NewEvent()
29
30class Plugin:
31    """
32    This class defines the interface for invariant Plugin class
33    that can be used by the gui_manager.       
34    """
35   
36    def __init__(self, standalone=False):
37        """
38        Abstract class for gui_manager Plugins.
39        """
40        ## Plug-in name. It will appear on the application menu.
41        self.sub_menu = "Invariant"
42       
43        ## Reference to the parent window. Filled by get_panels() below.
44        self.parent = None
45        #dictionary containing data name and error on dy of that data
46        self.err_dy = {}
47        ## List of panels that you would like to open in AUI windows
48        #  for your plug-in. This defines your plug-in "perspective"
49        self.perspective = []
50        #default state objects
51        self.state_reader = None 
52        self.temp_state = None 
53        self.__data = None 
54        """
55        # Create a CanSAS/Pr reader
56        self.state_reader = Reader(self.set_state)
57        l = Loader()
58        l.associate_file_reader('.inv', self.state_reader) 
59        """   
60        # Log startup
61        logging.info("Invariant plug-in started")
62       
63    def populate_menu(self, id, parent):
64        """
65        Create and return the list of application menu
66        items for the plug-in.
67       
68        :param id: deprecated. Un-used.
69        :param parent: parent window
70       
71        :return: plug-in menu
72        """
73        return []
74   
75    def help(self, evt):
76        """
77        Show a general help dialog.
78        """
79        from help_panel import  HelpWindow
80        frame = HelpWindow(None, -1)   
81        frame.Show(True)
82       
83    def get_panels(self, parent):
84        """
85        Create and return the list of wx.Panels for your plug-in.
86        Define the plug-in perspective.
87       
88        Panels should inherit from DefaultPanel defined below,
89        or should present the same interface. They must define
90        "window_caption" and "window_name".
91       
92        :param parent: parent window
93       
94        :return: list of panels
95        """
96        ## Save a reference to the parent
97        self.parent = parent
98        #add error back to the data
99        self.parent.Bind(ERR_DATA, self._on_data_error)
100        self.parent.Bind(EVT_STATE_UPDATE, self.on_set_state_helper)
101       
102        self.invariant_panel = InvariantPanel(parent=self.parent)
103        self.invariant_panel.set_manager(manager=self)
104        self.perspective.append(self.invariant_panel.window_name) 
105        #Create reader when fitting panel are created
106        self.state_reader = reader(self.set_state)   
107        #append that reader to list of available reader
108        loader = Loader()
109        loader.associate_file_reader(".inv", self.state_reader)
110        loader.associate_file_reader(".svs", self.state_reader)
111        # Return the list of panels
112        return [self.invariant_panel]
113   
114    def get_tools(self):
115        """
116        Returns a set of menu entries for tools
117        """
118        return []
119       
120   
121    def get_context_menu(self, graph=None):
122        """
123        This method is optional.
124   
125        When the context menu of a plot is rendered, the
126        get_context_menu method will be called to give you a
127        chance to add a menu item to the context menu.
128       
129        A ref to a Graph object is passed so that you can
130        investigate the plot content and decide whether you
131        need to add items to the context menu. 
132       
133        This method returns a list of menu items.
134        Each item is itself a list defining the text to
135        appear in the menu, a tool-tip help text, and a
136        call-back method.
137       
138        :param graph: the Graph object to which we attach the context menu
139       
140        :return: a list of menu items with call-back function
141        """
142        self.graph = graph
143        invariant_option = "Compute invariant"
144        invariant_hint = "Will displays the invariant panel for futher computation"
145       
146        for item in self.graph.plottables:
147            if item.name == graph.selected_plottable :
148                if issubclass(item.__class__,LoaderData1D):
149           
150                    if item.name !="$I_{obs}(q)$" and item.name !="$P_{fit}(r)$":
151                        if hasattr(item, "group_id"):
152                            return [[invariant_option, 
153                                        invariant_hint, self._compute_invariant]]
154        return []   
155
156   
157    def get_perspective(self):
158        """
159        Get the list of panel names for this perspective
160        """
161        return self.perspective
162   
163    def on_perspective(self, event):
164        """
165        Call back function for the perspective menu item.
166        We notify the parent window that the perspective
167        has changed.
168       
169        :param event: menu event
170        """
171        self.parent.set_perspective(self.perspective)
172   
173    def post_init(self):
174        """
175        Post initialization call back to close the loose ends
176        """
177        pass
178   
179    def set_default_perspective(self):
180        """
181        Call back method that True to notify the parent that the current plug-in
182        can be set as default  perspective.
183        when returning False, the plug-in is not candidate for an automatic
184        default perspective setting
185        """
186        return False
187   
188    def copy_data(self, item, dy=None):
189        """
190        receive a data 1D and the list of errors on dy
191        and create a new data1D data
192        """
193        id = None
194        if hasattr(item,"id"):
195            id = item.id
196
197        data = Data1D(x=item.x, y=item.y, dx=None, dy=None)
198        data.copy_from_datainfo(item)
199        item.clone_without_data(clone=data)   
200        data.dy = dy
201        data.name = item.name
202       
203        ## allow to highlight data when plotted
204        data.interactive = item.interactive
205        ## when 2 data have the same id override the 1 st plotted
206        data.id = id
207        data.group_id = item.group_id
208        return data
209   
210    def _on_data_error(self, event):
211        """
212        receives and event from plotting plu-gins to store the data name and
213        their errors of y coordinates for 1Data hide and show error
214        """
215        self.err_dy = event.err_dy
216       
217    def _compute_invariant(self, event):   
218        """
219        Open the invariant panel to invariant computation
220        """
221        self.panel = event.GetEventObject()
222        Plugin.on_perspective(self,event=event)
223        for plottable in self.panel.graph.plottables:
224            if plottable.name == self.panel.graph.selected_plottable:
225                ## put the errors values back to the model if the errors were hiden
226                ## before sending them to the fit engine
227                if len(self.err_dy)>0:
228                    dy = plottable.dy
229                    if plottable.name in  self.err_dy.iterkeys():
230                        dy = self.err_dy[plottable.name]
231                    data = self.copy_data(plottable, dy)
232                else:
233                    data = plottable
234                self.compute_helper(data=data)
235               
236    def compute_helper(self, data):
237        """
238        """
239        if data is None:
240            return 
241        # set current data if not it's a state data
242        if not self.invariant_panel.is_state_data:
243            # Store reference to data
244            self.__data = data
245            # Set the data set to be user for invariant calculation
246            self.invariant_panel.set_data(data=data)
247       
248    def save_file(self, filepath, state=None):
249        """
250        Save data in provided state object.
251               
252        :param filepath: path of file to write to
253        :param state: invariant state
254        """     
255        # Write the state to file
256        # First, check that the data is of the right type
257        current_plottable = self.__data
258
259        if issubclass(current_plottable.__class__, LoaderData1D):
260            self.state_reader.write(filepath, current_plottable, state)
261        else:
262            raise RuntimeError, "invariant.save_file: the data being saved is not a DataLoader.data_info.Data1D object" 
263
264    def set_state(self, state, datainfo=None):   
265        """
266        Call-back method for the state reader.
267        This method is called when a .inv file is loaded.
268       
269        :param state: State object
270        """
271        self.temp_state = None
272        try:
273            if datainfo is None:
274                raise RuntimeError, "invariant.set_state: datainfo parameter cannot be None in standalone mode"
275            datainfo.meta_data['invstate'].file = datainfo.meta_data['invstate'].file
276            datainfo.name = datainfo.meta_data['invstate'].file
277            datainfo.filename = datainfo.meta_data['invstate'].file
278            self.__data = datainfo
279            self.__data.group_id = datainfo.filename
280            self.__data.id = datainfo.filename
281
282            temp_state = copy.deepcopy(state)
283            # set state
284            self.invariant_panel.is_state_data = True
285            # Load the invariant states
286            # Make sure the user sees the invariant panel after loading
287            self.parent.set_perspective(self.perspective)
288            self.temp_state = temp_state
289            #self.invariant_panel.set_state(state=temp_state,data=self.__data)         
290
291        except:
292            logging.error("invariant.set_state: %s" % sys.exc_value)
293           
294    def on_set_state_helper(self,event=None):
295        """
296        """
297        self.invariant_panel.set_state(state=self.temp_state,data=self.__data)
298        self.temp_state = None
299       
300    def plot_theory(self, data=None, name=None):
301        """
302        Receive a data set and post a NewPlotEvent to parent.
303       
304        :param data: extrapolated data to be plotted
305        :param name: Data's name to use for the legend
306        """
307        import copy
308        if data is None:
309            new_plot = Theory1D(x=[], y=[], dy=None)
310        else:
311            scale =self.invariant_panel.get_scale()
312            background = self.invariant_panel.get_background()
313           
314            if scale != 0:
315                # Put back the sacle and bkg for plotting
316                data.y = (data.y + background)/scale
317                new_plot = Theory1D(x=data.x, y=data.y, dy=None)
318            else:
319                msg = "Scale can not be zero."
320                raise ValueError, msg
321
322        new_plot.name = name
323        new_plot.xaxis(self.__data._xaxis, self.__data._xunit)
324        new_plot.yaxis(self.__data._yaxis, self.__data._yunit)
325        new_plot.group_id = self.__data.group_id
326        new_plot.id = self.__data.id + name
327        # Save theory_data in a state
328        if data != None:
329            name_head = name.split('-')
330            if name_head[0]=='Low':
331                self.invariant_panel.state.theory_lowQ = copy.deepcopy(new_plot)
332            elif name_head[0]=='High':
333                self.invariant_panel.state.theory_highQ = copy.deepcopy(new_plot)
334
335        wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=self.__data.name))
336       
337    def plot_data(self, scale, background):
338        """
339        replot the current data if the user enters a new scale or background
340        """
341        new_plot = scale * self.__data - background
342        new_plot.name = self.__data.name
343        new_plot.group_id = self.__data.group_id
344        new_plot.id = self.__data.id
345       
346        # Save data in a state: but seems to never happen
347        if new_plot != None:
348            self.invariant_panel.state.data = copy.deepcopy(new_plot)
349        wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=new_plot.name))
350       
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