import sys sys.path.append('../') import structure_graph.abstract_sample_path as asam import utility.json_importer as imp import structure_graph.structure as st import structure_graph.trajectory as tr import pandas as pd class SamplePath(asam.AbstractSamplePath): """ 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. :importer: the Importer objects that will import ad process 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, files_path: str, samples_label: str, structure_label: str, variables_label: str, time_key: str, #variables_key: str): def __init__(self, importer: imp.JsonImporter): #self.importer =importer super().__init__(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() #TODO: VALUTARE PARAMETRO PER DATA AUGMENTATION trajects_samples = pd.concat([self.importer.concatenated_samples, self.importer.concatenated_samples]) self._trajectories = \ tr.Trajectory(self.importer.build_list_of_samples_array(trajects_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 """ self.total_variables_count = len(self.importer.sorter) labels = self.importer.variables[self.importer.variables_key].to_list() #print("SAMPLE PATH LABELS",labels) indxs = self.importer.variables.index.to_numpy() vals = self.importer.variables['Value'].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