diff --git a/modules/course.py b/modules/course.py index 931177bb..9632c6b7 100644 --- a/modules/course.py +++ b/modules/course.py @@ -459,7 +459,7 @@ def downsample(self): diff_dist_max = int(np.max(dist_diff)) * 2 / 1000 # [m->km] if diff_dist_max > self.config.G_GPS_SEARCH_RANGE: # [km] - app_logger.info( + app_logger.debug( f"G_GPS_SEARCH_RANGE[km]: {self.config.G_GPS_SEARCH_RANGE} -> {diff_dist_max}" ) self.config.G_GPS_SEARCH_RANGE = diff_dist_max @@ -634,190 +634,192 @@ def calc_slope_smoothing(self): self.colored_altitude = np.array(self.config.G_SLOPE_COLOR)[slope_smoothing_cat] def modify_course_points(self): - if self.config.G_COURSE_INDEXING: - course_points = self.course_points - - len_pnt_lat = len(course_points.latitude) - len_pnt_dist = len(course_points.distance) - len_pnt_alt = len(course_points.altitude) - len_dist = len(self.distance) - len_alt = len(self.altitude) - - # calculate course point distance/altitude if not both already set - # If one is already set, it's not going to be overwritten - # But if both are already set there's no need to recalculate anything - if not len_pnt_dist or not len_pnt_alt: - if not len_pnt_dist and len_dist: - course_points.distance = np.empty(len_pnt_lat) - if not len_pnt_alt and len_alt: - course_points.altitude = np.zeros(len_pnt_lat) - - min_index = 0 - - for i in range(len_pnt_lat): - b_a_x = self.points_diff[0][min_index:] - b_a_y = self.points_diff[1][min_index:] - lon_diff = course_points.longitude[i] - self.longitude[min_index:] - lat_diff = course_points.latitude[i] - self.latitude[min_index:] - p_a_x = lon_diff[:-1] - p_a_y = lat_diff[:-1] - inner_p = ( - b_a_x * p_a_x + b_a_y * p_a_y - ) / self.points_diff_sum_of_squares[min_index:] - inner_p_check = np.where( - (0.0 <= inner_p) & (inner_p <= 1.0), True, False - ) + if not self.config.G_COURSE_INDEXING: + return + + course_points = self.course_points - min_j = None - min_dist_diff_h = np.inf - min_dist_delta = 0 - min_alt_delta = 0 - - for j in list(*np.where(inner_p_check == True)): - h_lon = ( - self.longitude[min_index + j] - + ( - self.longitude[min_index + j + 1] - - self.longitude[min_index + j] - ) - * inner_p[j] - ) - h_lat = ( - self.latitude[min_index + j] - + ( - self.latitude[min_index + j + 1] - - self.latitude[min_index + j] - ) - * inner_p[j] + len_pnt_lat = len(course_points.latitude) + len_pnt_dist = len(course_points.distance) + len_pnt_alt = len(course_points.altitude) + len_dist = len(self.distance) + len_alt = len(self.altitude) + + # calculate course point distance/altitude if not both already set + # If one is already set, it's not going to be overwritten + # But if both are already set there's no need to recalculate anything + if not len_pnt_dist or not len_pnt_alt: + if not len_pnt_dist and len_dist: + course_points.distance = np.empty(len_pnt_lat) + if not len_pnt_alt and len_alt: + course_points.altitude = np.zeros(len_pnt_lat) + + min_index = 0 + + for i in range(len_pnt_lat): + b_a_x = self.points_diff[0][min_index:] + b_a_y = self.points_diff[1][min_index:] + lon_diff = course_points.longitude[i] - self.longitude[min_index:] + lat_diff = course_points.latitude[i] - self.latitude[min_index:] + p_a_x = lon_diff[:-1] + p_a_y = lat_diff[:-1] + inner_p = ( + b_a_x * p_a_x + b_a_y * p_a_y + ) / self.points_diff_sum_of_squares[min_index:] + inner_p_check = np.where( + (0.0 <= inner_p) & (inner_p <= 1.0), True, False + ) + + min_j = None + min_dist_diff_h = np.inf + min_dist_delta = 0 + min_alt_delta = 0 + + for j in list(*np.where(inner_p_check == True)): + h_lon = ( + self.longitude[min_index + j] + + ( + self.longitude[min_index + j + 1] + - self.longitude[min_index + j] ) - dist_diff_h = get_dist_on_earth( - h_lon, - h_lat, - course_points.longitude[i], - course_points.latitude[i], + * inner_p[j] + ) + h_lat = ( + self.latitude[min_index + j] + + ( + self.latitude[min_index + j + 1] + - self.latitude[min_index + j] ) + * inner_p[j] + ) + dist_diff_h = get_dist_on_earth( + h_lon, + h_lat, + course_points.longitude[i], + course_points.latitude[i], + ) - if ( - dist_diff_h < self.config.G_GPS_ON_ROUTE_CUTOFF - and dist_diff_h < min_dist_diff_h - ): - if min_j is not None and j - min_j > 2: - continue - - min_j = j - min_dist_diff_h = dist_diff_h - min_dist_delta = ( - get_dist_on_earth( - self.longitude[min_index + j], - self.latitude[min_index + j], - h_lon, - h_lat, - ) - / 1000 + if ( + dist_diff_h < self.config.G_GPS_ON_ROUTE_CUTOFF + and dist_diff_h < min_dist_diff_h + ): + if min_j is not None and j - min_j > 2: + continue + + min_j = j + min_dist_diff_h = dist_diff_h + min_dist_delta = ( + get_dist_on_earth( + self.longitude[min_index + j], + self.latitude[min_index + j], + h_lon, + h_lat, ) - if len_alt: - min_alt_delta = ( - ( - self.altitude[min_index + j + 1] - - self.altitude[min_index + j] - ) - / ( - self.distance[min_index + j + 1] - - self.distance[min_index + j] - ) - * min_dist_delta + / 1000 + ) + if len_alt: + min_alt_delta = ( + ( + self.altitude[min_index + j + 1] + - self.altitude[min_index + j] ) + / ( + self.distance[min_index + j + 1] + - self.distance[min_index + j] + ) + * min_dist_delta + ) - if min_j is None: - min_j = 0 - - min_index = min_index + min_j + if min_j is None: + min_j = 0 - if not len_pnt_dist and len_dist: - course_points.distance[i] = ( - self.distance[min_index] + min_dist_delta - ) - if not len_pnt_alt and len_alt: - course_points.altitude[i] = ( - self.altitude[min_index] + min_alt_delta - ) + min_index = min_index + min_j - # add climb tops - # if len(self.climb_segment): - # min_index = 0 - # for i in range(len(self.climb_segment)): - # diff_dist = np.abs(course_points.distance - self.climb_segment[i]['course_point_distance']) - # min_index = np.where(diff_dist == np.min(diff_dist))[0][0]+1 - # course_points.name.insert(min_index, "Top of Climb") - # course_points.latitude = np.insert(course_points._latitude, min_index, self.climb_segment[i]['course_point_latitude']) - # course_points.longitude = np.insert(course_points.longitude, min_index, self.climb_segment[i]['course_point_longitude']) - # course_points.type.insert(min_index, "Summit") - # course_points.distance = np.insert(course_points.distance, min_index, self.climb_segment[i]['course_point_distance']) - # course_points.altitude = np.insert(course_points.altitude, min_index, self.climb_segment[i]['course_point_altitude']) - - len_pnt_dist = len(course_points.distance) - len_pnt_alt = len(course_points.latitude) - - # add start course point - if ( - len_pnt_lat - and len_pnt_dist - and len_dist - # TODO do not use float - and course_points.distance[0] != 0.0 - ): - app_logger.info( - f"Missing start of the course point, first value is {course_points.distance[0]}, inserting" - ) - course_points.name = np.insert(course_points.name, 0, "Start") - course_points.latitude = np.insert( - course_points.latitude, 0, self.latitude[0] - ) - course_points.longitude = np.insert( - course_points.longitude, 0, self.longitude[0] - ) - course_points.type = np.insert(course_points.type, 0, "") - course_points.notes = np.insert(course_points.notes, 0, "") - if len_pnt_dist and len_dist: - course_points.distance = np.insert(course_points.distance, 0, 0.0) - if len_pnt_alt and len_alt: - course_points.altitude = np.insert( - course_points.altitude, 0, self.altitude[0] + if not len_pnt_dist and len_dist: + course_points.distance[i] = ( + self.distance[min_index] + min_dist_delta + ) + if not len_pnt_alt and len_alt: + course_points.altitude[i] = ( + self.altitude[min_index] + min_alt_delta ) - # add end course point - end_distance = None - if len(self.latitude) and len(course_points.longitude): - end_distance = get_dist_on_earth_array( - self.longitude[-1], - self.latitude[-1], - course_points.longitude[-1], - course_points.latitude[-1], - ) - if ( - len_pnt_lat - and len_pnt_dist - and len_dist - and end_distance is not None - and end_distance > 5 - ): - app_logger.info( - f"Missing end of the course point last distance is {end_distance}, inserting" + # add climb tops + # if len(self.climb_segment): + # min_index = 0 + # for i in range(len(self.climb_segment)): + # diff_dist = np.abs(course_points.distance - self.climb_segment[i]['course_point_distance']) + # min_index = np.where(diff_dist == np.min(diff_dist))[0][0]+1 + # course_points.name.insert(min_index, "Top of Climb") + # course_points.latitude = np.insert(course_points._latitude, min_index, self.climb_segment[i]['course_point_latitude']) + # course_points.longitude = np.insert(course_points.longitude, min_index, self.climb_segment[i]['course_point_longitude']) + # course_points.type.insert(min_index, "Summit") + # course_points.distance = np.insert(course_points.distance, min_index, self.climb_segment[i]['course_point_distance']) + # course_points.altitude = np.insert(course_points.altitude, min_index, self.climb_segment[i]['course_point_altitude']) + + len_pnt_dist = len(course_points.distance) + len_pnt_alt = len(course_points.latitude) + + # add start course point + if ( + len_pnt_lat + and len_pnt_dist + and len_dist + # TODO do not use float + and course_points.distance[0] != 0.0 + ): + app_logger.info( + f"Missing start of the course point, first value is {course_points.distance[0]}, inserting" + ) + course_points.name = np.insert(course_points.name, 0, "Start") + course_points.latitude = np.insert( + course_points.latitude, 0, self.latitude[0] + ) + course_points.longitude = np.insert( + course_points.longitude, 0, self.longitude[0] + ) + course_points.type = np.insert(course_points.type, 0, "") + course_points.notes = np.insert(course_points.notes, 0, "") + if len_pnt_dist and len_dist: + course_points.distance = np.insert(course_points.distance, 0, 0.0) + if len_pnt_alt and len_alt: + course_points.altitude = np.insert( + course_points.altitude, 0, self.altitude[0] ) - course_points.name = np.append(course_points.name, "End") - course_points.latitude = np.append( - course_points.latitude, self.latitude[-1] + + # add end course point + end_distance = None + if len(self.latitude) and len(course_points.longitude): + end_distance = get_dist_on_earth_array( + self.longitude[-1], + self.latitude[-1], + course_points.longitude[-1], + course_points.latitude[-1], + ) + if ( + len_pnt_lat + and len_pnt_dist + and len_dist + and end_distance is not None + and end_distance > 5 + ): + app_logger.info( + f"Missing end of the course point last distance is {end_distance}, inserting" + ) + course_points.name = np.append(course_points.name, "End") + course_points.latitude = np.append( + course_points.latitude, self.latitude[-1] + ) + course_points.longitude = np.append( + course_points.longitude, self.longitude[-1] + ) + course_points.type = np.append(course_points.type, "") + course_points.notes = np.append(course_points.notes, "") + if len_pnt_dist and len_dist: + course_points.distance = np.append( + course_points.distance, self.distance[-1] ) - course_points.longitude = np.append( - course_points.longitude, self.longitude[-1] + if len_pnt_alt and len_alt: + course_points.altitude = np.append( + course_points.altitude, self.altitude[-1] ) - course_points.type = np.append(course_points.type, "") - course_points.notes = np.append(course_points.notes, "") - if len_pnt_dist and len_dist: - course_points.distance = np.append( - course_points.distance, self.distance[-1] - ) - if len_pnt_alt and len_alt: - course_points.altitude = np.append( - course_points.altitude, self.altitude[-1] - )