import abstract_importer as imp import structure as st import trajectory as tr class SamplePath: """ Aggregates all the informations about the trajectories, the real structure of the sampled net and variables cardinalites. Has the task of creating the objects that will contain the mentioned data. :trajectories: the Trajectory object that will contain all the concatenated trajectories :structure: the Structure Object that will contain all the structurral infos about the net :total_variables_count: the number of variables in the net """ def __init__(self, importer: imp.AbstractImporter): """ :importer: the Importer objects that will import ad process data """ self.importer = importer self._trajectories = None self._structure = None self.total_variables_count = None def build_trajectories(self): """ Builds the Trajectory object that will contain all the trajectories. Clears all the unused dataframes in Importer Object Parameters: void Returns: void """ self.importer.import_data() self._trajectories = \ tr.Trajectory(self.importer.build_list_of_samples_array(self.importer.concatenated_samples), len(self.importer.sorter) + 1) #self.trajectories.append(trajectory) self.importer.clear_concatenated_frame() def build_structure(self): """ Builds the Structure object that aggregates all the infos about the net. Parameters: void Returns: void """ if self.importer.sorter != self.importer.variables.iloc[:, 0].to_list(): raise RuntimeError("The Dataset columns order have to match the order of labels in the variables Frame!") self.total_variables_count = len(self.importer.sorter) #labels = self.importer.variables[self.importer.variables_key].to_list() #print("SAMPLE PATH LABELS",labels) #print(self.importer.variables) labels = self.importer.variables.iloc[:, 0].to_list() indxs = self.importer.variables.index.to_numpy() vals = self.importer.variables.iloc[:, 1].to_numpy() edges = list(self.importer.structure.to_records(index=False)) self._structure = st.Structure(labels, indxs, vals, edges, self.total_variables_count) @property def trajectories(self): return self._trajectories @property def structure(self): return self._structure def total_variables_count(self): return self.total_variables_count