PyCTBN/main_package/classes/structure_graph/sample_path.py

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