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Merge pull request #390 from mattwigway/fareto
Fareto
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| package org.ipea.r5r.Process; | ||
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| import java.text.ParseException; | ||
| import java.util.concurrent.ForkJoinPool; | ||
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| import org.ipea.r5r.RDataFrame; | ||
| import org.ipea.r5r.RoutingProperties; | ||
| import org.ipea.r5r.R5.R5ParetoServer; | ||
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| import com.conveyal.r5.analyst.cluster.RegionalTask; | ||
| import com.conveyal.r5.transit.TransportNetwork; | ||
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| /** | ||
| * This outputs the Pareto itinerary planner results directly to JSON. | ||
| */ | ||
| public class FaretoDebug extends R5Process { | ||
| public FaretoDebug(ForkJoinPool threadPool, TransportNetwork transportNetwork, | ||
| RoutingProperties routingProperties) { | ||
| super(threadPool, transportNetwork, routingProperties); | ||
| } | ||
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| public R5ParetoServer.ParetoReturn pathResults = null; | ||
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| @Override | ||
| protected boolean isOneToOne() { | ||
| return true; | ||
| } | ||
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| @Override | ||
| protected RDataFrame runProcess(int index) throws ParseException { | ||
| RegionalTask request = buildRequest(index); | ||
| request.fromLat = fromLats[0]; | ||
| request.fromLon = fromLons[0]; | ||
| request.toLat = toLats[0]; | ||
| request.toLon = toLons[0]; | ||
| request.maxFare = 150_000_000; | ||
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| R5ParetoServer computer = new R5ParetoServer(request, transportNetwork); | ||
| pathResults = computer.handle(); | ||
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| // to match R5Process interface, return type must be dataframe. We work around this by returning an empty | ||
| // dataframe. Cannot return null because value is used in mergeDataFrame | ||
| return new RDataFrame(0); | ||
| } | ||
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| @Override | ||
| protected RDataFrame buildDataFrameStructure(String fromId, int nRows) { | ||
| // to avoid NPEs in mergeDataFrame, something must be returned | ||
| return new RDataFrame(nRows); | ||
| } | ||
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| @Override | ||
| protected void buildDestinationPointSet() { | ||
| // not needed in this class | ||
| } | ||
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| } |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,96 @@ | ||
| #' Output Fareto-format JSON for visualization with Fareto | ||
| #' | ||
| #' This is primarily intended for debugging the fare system code. Fareto is an external tool | ||
| #' that provides visualization for R5's McRAPTOR fare calculator. To use this, | ||
| #' run fareto_debug(...) as if you were running paretoFrontier(...). The return value is a JSON-formatted | ||
| #' string. Use [rfareto](https://github.com/mattwigway/rfareto) to visualize the results. | ||
| fareto_debug <- function(r5r_core, | ||
| origins, | ||
| destinations, | ||
| mode = c("WALK", "TRANSIT"), | ||
| mode_egress = "WALK", | ||
| departure_datetime = Sys.time(), | ||
| time_window = 10L, | ||
| percentiles = 50L, | ||
| max_walk_time = Inf, | ||
| max_bike_time = Inf, | ||
| max_car_time = Inf, | ||
| max_trip_duration = 120L, | ||
| fare_structure = NULL, | ||
| walk_speed = 3.6, | ||
| bike_speed = 12, | ||
| max_rides = 3, | ||
| max_lts = 2, | ||
| n_threads = Inf, | ||
| verbose = FALSE, | ||
| progress = FALSE) { | ||
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| checkmate::assert_class(r5r_core, "jobjRef") | ||
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| origins <- assign_points_input(origins, "origins") | ||
| destinations <- assign_points_input(destinations, "destinations") | ||
| mode_list <- assign_mode(mode, mode_egress) | ||
| departure <- assign_departure(departure_datetime) | ||
| max_walk_time <- assign_max_street_time( | ||
| max_walk_time, | ||
| walk_speed, | ||
| max_trip_duration, | ||
| "walk" | ||
| ) | ||
| max_bike_time <- assign_max_street_time( | ||
| max_bike_time, | ||
| bike_speed, | ||
| max_trip_duration, | ||
| "bike" | ||
| ) | ||
| max_car_time <- assign_max_street_time( | ||
| max_car_time, | ||
| 8, # 8 km/h, R5's default. | ||
| max_trip_duration, | ||
| "car" | ||
| ) | ||
| max_trip_duration <- assign_max_trip_duration( | ||
| max_trip_duration, | ||
| mode_list, | ||
| max_walk_time, | ||
| max_bike_time | ||
| ) | ||
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| if (nrow(origins) != 1 || nrow(destinations) != 1) { | ||
| stop("fareto_debug requires exactly one origin and one destination") | ||
| } | ||
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| set_time_window(r5r_core, time_window) | ||
| set_percentiles(r5r_core, percentiles) | ||
| set_monte_carlo_draws(r5r_core, 1, time_window) | ||
| set_speed(r5r_core, walk_speed, "walk") | ||
| set_speed(r5r_core, bike_speed, "bike") | ||
| set_max_rides(r5r_core, max_rides) | ||
| set_max_lts(r5r_core, max_lts) | ||
| set_n_threads(r5r_core, n_threads) | ||
| set_verbose(r5r_core, verbose) | ||
| set_progress(r5r_core, progress) | ||
| set_fare_structure(r5r_core, fare_structure) | ||
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| # call r5r_core method and process result ------------------------------- | ||
| result <- r5r_core$faretoJson( | ||
| origins$id, | ||
| origins$lat, | ||
| origins$lon, | ||
| destinations$id, | ||
| destinations$lat, | ||
| destinations$lon, | ||
| mode_list$direct_modes, | ||
| mode_list$transit_mode, | ||
| mode_list$access_mode, | ||
| mode_list$egress_mode, | ||
| departure$date, | ||
| departure$time, | ||
| max_walk_time, | ||
| max_bike_time, | ||
| max_car_time, | ||
| max_trip_duration | ||
| ) | ||
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| return(result) | ||
| } |
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