revrt.routing.cli.point_to_feature.PointToFeatureRouteDefinitionConverter#

class PointToFeatureRouteDefinitionConverter(cost_fpath, route_points, features_fpath, out_fp, routing_options, transmission_config=None, drivers=None, transition_costs=None, connection_identifier_column='end_feat_id')[source]#

Bases: RouteToDefinitionConverter

Convert route points DataFrame to route definition for Rust

Parameters:

  • cost_fpath (path-like) – Path to layered Zarr file containing cost and other required routing layers.

  • route_points (pandas.DataFrame) – DataFrame defining the points to be routed. This DataFrame should contain route definitions to be transformed and passed down to the Rust routing algorithm.

  • out_fp (path-like) – Path to output file where computed routes will be saved. This file will be checked for existing routes to avoid recomputation.

  • routing_options (dict) – Mapping of routing-option names to dictionaries describing the cost, friction, barrier, and option-level multiplier inputs for each option. See RoutingOptionConfig.

  • transmission_config (path-like or dict, optional) – Dictionary of transmission cost configuration values, or path to JSON/JSON5 file containing this dictionary. See the description of revrt.routing.cli.point_to_point.compute_lcp_routes() for more details.

Methods

Attributes

cost_metadata

Metadata from cost file (CRS, transform, shape)

existing_routes

Already computed routes in the output file

num_routes

Number of routes to be computed

route_points

Validated routing points
property cost_metadata#

Metadata from cost file (CRS, transform, shape)

Type:

dict

property existing_routes#

Already computed routes in the output file

Type:

set

property num_routes#

Number of routes to be computed

Type:

int

property route_points#

Validated routing points

Type:

pandas.DataFrame