Пример #1
0
    def __total_deviation(self, activity_id):
        stream_df = load_stream(self.database_driver, activity_id, 'latlng')

        if stream_df is not None:
            stream_df = lat_long_to_x_y(stream_df)
            stream_df = smooth(stream_df, smooth_colname='x')
            stream_df = smooth(stream_df, smooth_colname='y')
            stream_df = derivative(stream_df, derivative_colname='x_smooth')
            stream_df = derivative(stream_df, derivative_colname='y_smooth')
            stream_df = rolling_similarity(stream_df, cosine_similarity, 'dx_smooth_dt', 'dy_smooth_dt')

            try:
                return np.nansum([cosine_to_deviation(cos)
                                  for cos in stream_df.cosine_similarity_dx_smooth_dt_dy_smooth_dt])
            except ValueError:
                logging.warning('Failed to compute route deviation for activity %d, returning NaN' % activity_id)
                return np.nan
        else:
            logging.warning('No gps stream available for activity %d, returning NaN' % activity_id)
            return np.nan
 def test_cosine_to_deviation(self):
     """Should return normalized angle between vectors, given a cosine similarity"""
     self.assertAlmostEqual(cosine_to_deviation(1), 0, 9)
     self.assertAlmostEqual(cosine_to_deviation(0), 0.5, 9)
     self.assertAlmostEqual(cosine_to_deviation(-1), 1, 9)
     self.assertAlmostEqual(cosine_to_deviation(0.5), 0.33333, 5)