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