def run_DMT_processing()

in data_measurements/lengths/lengths.py [0:0]

• 17 lines of code
• 8 McCabe index (conditional complexity)

    def run_DMT_processing(self):
        """
        Gets data structures for the figure, table, and measurements.
        """
        # First look to see what we can load from cache.
        if self.use_cache:
            logs.info("Trying to load from cache...")
            # Defines self.lengths_df, self.length_stats_dict, self.fig_lengths
            # This is the table, the dict of measurements, and the figure
            self.load_lengths_cache()
            # Sets the measurements as attributes of the DMT object
            self.set_attributes()
        # If we do not have measurements loaded from cache...
        if not self.length_stats_dict and not self.load_only:
            logs.info("Preparing length results")
            # Compute length statistics. Uses the Lengths class.
            self.lengths_obj = self._prepare_lengths()
            # Dict of measurements
            self.length_stats_dict = self.lengths_obj.length_stats_dict
            # Table of text and lengths
            self.lengths_df = self.lengths_obj.lengths_df
            # Sets the measurements in the length_stats_dict
            self.set_attributes()
            # Makes the figure
            self.fig_lengths = make_fig_lengths(self.lengths_df)
            # Finish
            if self.save:
                logs.info("Saving results.")
                self._write_lengths_cache()
                if exists(self.lengths_fig_png_fid):
                    # As soon as we have a figure, we redefine it as an image.
                    # This is a hack to handle a UI display error (TODO: file bug)
                    self.fig_lengths = Image.open(self.lengths_fig_png_fid)