import numpy import copy from PyQt5 import QtCore from PyQt5 import QtGui from PyQt5 import QtWidgets from bumps import options from bumps import fitters import sas.qtgui.Utilities.LocalConfig as LocalConfig import sas.qtgui.Utilities.ObjectLibrary as ObjectLibrary import sas.qtgui.Utilities.GuiUtils as GuiUtils from sas.qtgui.Perspectives.Fitting.FittingWidget import FittingWidget from sas.qtgui.Perspectives.Fitting.ConstraintWidget import ConstraintWidget from sas.qtgui.Perspectives.Fitting.FittingOptions import FittingOptions from sas.qtgui.Perspectives.Fitting.GPUOptions import GPUOptions class FittingWindow(QtWidgets.QTabWidget): """ """ tabsModifiedSignal = QtCore.pyqtSignal() fittingStartedSignal = QtCore.pyqtSignal(list) fittingStoppedSignal = QtCore.pyqtSignal(list) name = "Fitting" # For displaying in the combo box in DataExplorer def __init__(self, parent=None, data=None): super(FittingWindow, self).__init__() self.parent = parent self._data = data # List of active fits self.tabs = [] # Max index for adding new, non-clashing tab names self.maxIndex = 1 # The default optimizer self.optimizer = 'Levenberg-Marquardt' # Dataset index -> Fitting tab mapping self.dataToFitTab = {} # The tabs need to be closeable self.setTabsClosable(True) # The tabs need to be movabe self.setMovable(True) self.communicate = self.parent.communicator() # Initialize the first tab self.addFit(None) # Deal with signals self.tabCloseRequested.connect(self.tabCloses) self.communicate.dataDeletedSignal.connect(self.dataDeleted) self.fittingStartedSignal.connect(self.onFittingStarted) self.fittingStoppedSignal.connect(self.onFittingStopped) self.communicate.copyFitParamsSignal.connect(self.onParamCopy) self.communicate.pasteFitParamsSignal.connect(self.onParamPaste) self.communicate.copyExcelFitParamsSignal.connect(self.onExcelCopy) self.communicate.copyLatexFitParamsSignal.connect(self.onLatexCopy) # Perspective window not allowed to close by default self._allow_close = False # Fit options - uniform for all tabs self.fit_options = options.FIT_CONFIG self.fit_options_widget = FittingOptions(self, config=self.fit_options) self.fit_options.selected_id = fitters.LevenbergMarquardtFit.id # Listen to GUI Manager signal updating fit options self.fit_options_widget.fit_option_changed.connect(self.onFittingOptionsChange) # GPU Options self.gpu_options_widget = GPUOptions(self) self.updateWindowTitle() def updateWindowTitle(self): """ Update the window title with the current optimizer name """ self.optimizer = self.fit_options.selected_name self.setWindowTitle('Fit panel - Active Fitting Optimizer: %s' % self.optimizer) def setClosable(self, value=True): """ Allow outsiders to close this widget """ assert isinstance(value, bool) self._allow_close = value def onParamCopy(self): self.currentTab.onCopyToClipboard("") def onParamPaste(self): self.currentTab.onParameterPaste() def onExcelCopy(self): self.currentTab.onCopyToClipboard("Excel") def onLatexCopy(self): self.currentTab.onCopyToClipboard("Latex") def serializeAllFitpage(self): # serialize all active fitpages and return # a dictionary: {data_id: fitpage_state} params = {} for i, tab in enumerate(self.tabs): tab_data = self.getSerializedFitpage(tab) if 'data_id' not in tab_data: continue id = tab_data['data_id'][0] if isinstance(id, list): for i in id: if i in params: params[i].append(tab_data) else: params[i] = [tab_data] else: if id in params: params[id].append(tab_data) else: params[id] = [tab_data] return params def serializeCurrentFitpage(self): # serialize current(active) fitpage return self.getSerializedFitpage(self.currentTab) def getSerializedFitpage(self, tab): """ get serialize requested fit tab """ fitpage_state = tab.getFitPage() fitpage_state += tab.getFitModel() # put the text into dictionary line_dict = {} for line in fitpage_state: #content = line.split(',') if len(line) > 1: line_dict[line[0]] = line[1:] return line_dict def currentTabDataId(self): """ Returns the data ID of the current tab """ tab_id = [] if not self.currentTab.data: return tab_id for item in self.currentTab.all_data: data = GuiUtils.dataFromItem(item) tab_id.append(data.id) return tab_id def updateFromParameters(self, parameters): """ Pass the update parameters to the current fit page """ self.currentTab.createPageForParameters(parameters) def closeEvent(self, event): """ Overwrite QDialog close method to allow for custom widget close """ # Invoke fit page events if self._allow_close: # reset the closability flag self.setClosable(value=False) # Tell the MdiArea to close the container self.parentWidget().close() event.accept() else: # Maybe we should just minimize self.setWindowState(QtCore.Qt.WindowMinimized) event.ignore() def addFit(self, data, is_batch=False): """ Add a new tab for passed data """ tab = FittingWidget(parent=self.parent, data=data, tab_id=self.maxIndex) tab.is_batch_fitting = is_batch # Add this tab to the object library so it can be retrieved by scripting/jupyter tab_name = self.getTabName(is_batch=is_batch) ObjectLibrary.addObject(tab_name, tab) self.tabs.append(tab) if data: self.updateFitDict(data, tab_name) self.maxIndex += 1 icon = QtGui.QIcon() if is_batch: icon.addPixmap(QtGui.QPixmap("src/sas/qtgui/images/icons/layers.svg")) self.addTab(tab, icon, tab_name) # Show the new tab self.setCurrentWidget(tab); # Notify listeners self.tabsModifiedSignal.emit() def addConstraintTab(self): """ Add a new C&S fitting tab """ tabs = [isinstance(tab, ConstraintWidget) for tab in self.tabs] if any(tabs): # We already have a C&S tab: show it self.setCurrentIndex(tabs.index(True)) return tab = ConstraintWidget(parent=self) # Add this tab to the object library so it can be retrieved by scripting/jupyter tab_name = self.getCSTabName() # TODO update the tab name scheme ObjectLibrary.addObject(tab_name, tab) self.tabs.append(tab) icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap("src/sas/qtgui/images/icons/link.svg")) self.addTab(tab, icon, tab_name) # This will be the last tab, so set the index accordingly self.setCurrentIndex(self.count()-1) def updateFitDict(self, item_key, tab_name): """ Create a list if none exists and append if there's already a list """ item_key_str = str(item_key) if item_key_str in list(self.dataToFitTab.keys()): self.dataToFitTab[item_key_str].append(tab_name) else: self.dataToFitTab[item_key_str] = [tab_name] def getTabName(self, is_batch=False): """ Get the new tab name, based on the number of fitting tabs so far """ page_name = "BatchPage" if is_batch else "FitPage" page_name = page_name + str(self.maxIndex) return page_name def getCSTabName(self): """ Get the new tab name, based on the number of fitting tabs so far """ page_name = "Const. & Simul. Fit" return page_name def resetTab(self, index): """ Adds a new tab and removes the last tab as a way of resetting the fit tabs """ # If data on tab empty - do nothing if index in self.tabs and not self.tabs[index].data: return # Add a new, empy tab self.addFit(None) # Remove the previous last tab self.tabCloses(index) def tabCloses(self, index): """ Update local bookkeeping on tab close """ #assert len(self.tabs) >= index # don't remove the last tab if len(self.tabs) <= 1: self.resetTab(index) return try: ObjectLibrary.deleteObjectByRef(self.tabs[index]) self.removeTab(index) del self.tabs[index] self.tabsModifiedSignal.emit() except IndexError: # The tab might have already been deleted previously pass def closeTabByName(self, tab_name): """ Given name of the fitting tab - close it """ for tab_index in range(len(self.tabs)): if self.tabText(tab_index) == tab_name: self.tabCloses(tab_index) pass # debug hook def dataDeleted(self, index_list): """ Delete fit tabs referencing given data """ if not index_list or not self.dataToFitTab: return for index_to_delete in index_list: index_to_delete_str = str(index_to_delete) orig_dict = copy.deepcopy(self.dataToFitTab) for tab_key in orig_dict.keys(): if index_to_delete_str in tab_key: for tab_name in orig_dict[tab_key]: self.closeTabByName(tab_name) self.dataToFitTab.pop(tab_key) def allowBatch(self): """ Tell the caller that we accept multiple data instances """ return True def isSerializable(self): """ Tell the caller that this perspective writes its state """ return True def setData(self, data_item=None, is_batch=False): """ Assign new dataset to the fitting instance Obtain a QStandardItem object and dissect it to get Data1D/2D Pass it over to the calculator """ assert data_item is not None if not isinstance(data_item, list): msg = "Incorrect type passed to the Fitting Perspective" raise AttributeError(msg) if not isinstance(data_item[0], QtGui.QStandardItem): msg = "Incorrect type passed to the Fitting Perspective" raise AttributeError(msg) if is_batch: # Just create a new fit tab. No empty batchFit tabs self.addFit(data_item, is_batch=is_batch) return items = [data_item] if is_batch else data_item for data in items: # Find the first unassigned tab. # If none, open a new tab. available_tabs = [tab.acceptsData() for tab in self.tabs] if numpy.any(available_tabs): first_good_tab = available_tabs.index(True) self.tabs[first_good_tab].data = data tab_name = str(self.tabText(first_good_tab)) self.updateFitDict(data, tab_name) else: self.addFit(data, is_batch=is_batch) def onFittingOptionsChange(self, fit_engine): """ React to the fitting algorithm change by modifying window title """ fitter = [f.id for f in options.FITTERS if f.name == str(fit_engine)][0] # set the optimizer self.fit_options.selected_id = str(fitter) # Update the title self.updateWindowTitle() def onFittingStarted(self, tabs_for_fitting=None): """ Notify tabs listed in tabs_for_fitting that the fitting thread started """ assert(isinstance(tabs_for_fitting, list)) assert(len(tabs_for_fitting)>0) for tab_object in self.tabs: if not isinstance(tab_object, FittingWidget): continue page_name = "Page%s"%tab_object.tab_id if any([page_name in tab for tab in tabs_for_fitting]): tab_object.disableInteractiveElements() pass def onFittingStopped(self, tabs_for_fitting=None): """ Notify tabs listed in tabs_for_fitting that the fitting thread stopped """ assert(isinstance(tabs_for_fitting, list)) assert(len(tabs_for_fitting)>0) for tab_object in self.tabs: if not isinstance(tab_object, FittingWidget): continue page_name = "Page%s"%tab_object.tab_id if any([page_name in tab for tab in tabs_for_fitting]): tab_object.enableInteractiveElements() pass def getCurrentStateAsXml(self): """ Returns an XML version of the current state """ state = {} for tab in self.tabs: pass return state @property def currentTab(self): """ Returns the tab widget currently shown """ return self.currentWidget()