import os import scipy import gobject import gtk import fluents import logger import dataset, plots class Project: def __init__(self,name="Testing"): self.data_tree = gtk.TreeStore(gobject.TYPE_STRING, gobject.TYPE_STRING, gobject.TYPE_PYOBJECT, gobject.TYPE_STRING, gobject.TYPE_STRING, gobject.TYPE_OBJECT, gobject.TYPE_DOUBLE) self.name = name self.dim_names = [] self._selection_observers = [] self._dataset_observers = [] self.current_data = [] self.datasets = [] self.sel_obj = dataset.Selection('Current Selection') self.selections = [] self._last_selection = None self._dataset_iter_map = {} def add_selection_observer(self, observer): self._selection_observers.append(observer) observer.selection_changed(None, self.get_selection()) def notify_selection_listeners(self, dim_name): """Notifies observers""" for observer in self._selection_observers: observer.selection_changed(dim_name, self.get_selection()) def add_dataset_observer(self, observer): self._dataset_observers.append(observer) observer.dataset_changed() def notify_dataset_listeners(self): """Notifies observers when new datasets are added""" for observer in self._dataset_observers: observer.dataset_changed() def set_selection(self, dim_name, selection): """Sets a current selection and notify observers""" if self._last_selection != selection: self.sel_obj[dim_name] = set(selection) self.notify_selection_listeners(dim_name) self._last_selection = selection def get_selection(self): """Returns the current selection object""" return self.sel_obj def add_data(self, parents, data, fun='Function'): """Adds a set of data and plots to the navigator. This method is usually called after a Function in a workflow has finished and returns its output.""" if len(parents) > 0: parent_iter = self._dataset_iter_map[parents[0]] else: parent_iter = None # Add the function node to the tree icon = fluents.icon_factory.get_icon("folder_grey") it = self.data_tree_insert(parent_iter, fun, None, None, "black", icon) # Add all returned datasets/plots/selections for d in data: # Any kind of dataset if isinstance(d, dataset.Dataset): if isinstance(d, dataset.GraphDataset): icon = fluents.icon_factory.get_icon("graph_dataset") elif isinstance(d, dataset.CategoryDataset): icon = fluents.icon_factory.get_icon("category_dataset") else: icon = fluents.icon_factory.get_icon("dataset") self.add_dataset(d) self.data_tree_insert(it, d.get_name(), d, None, "black", icon) # Any kind of plot elif isinstance(d, plots.Plot): icon = fluents.icon_factory.get_icon("line_plot") self.data_tree_insert(it, d.get_title(), d, None, "black", icon) d.set_selection_listener(self.set_selection) self._selection_observers.append(d) # Selections are not added to the data tree elif isinstance(d, dataset.Selection): self.add_selection(d) def data_tree_insert(self, parent, text, data, bgcolour, fontcolour, icon, selected = 0): tree = self.data_tree it = tree.append(parent) tree.set_value(it, 0, text) tree.set_value(it, 1, type(data)) tree.set_value(it, 2, data) tree.set_value(it, 3, bgcolour) tree.set_value(it, 4, fontcolour) tree.set_value(it, 5, icon) tree.set_value(it, 6, selected) self._dataset_iter_map[data] = it return it def add_dataset(self, dataset): """Appends a new Dataset to the project.""" logger.log('debug','Adding dataset: %s' %dataset.get_name()) self.datasets.append(dataset) for dim_name in dataset.get_all_dims(): if dim_name not in self.dim_names: self.dim_names.append(dim_name) self.sel_obj[dim_name] = set() self.notify_dataset_listeners() def add_selection(self, selection): """Adds a new selection to the project.""" self.selections.append(selection) self.notify_dataset_listeners() def object_at(self, path): "Returns the object at a given path in the tree." iter = self.get_iter(path) object = self.get_value(iter, 2) if object: object.show() return object def set_current_data(self, obj): self.current_data = obj