osrm-backend/include/engine/plugins/distance_table.hpp
2016-03-18 17:32:58 +01:00

197 lines
8.3 KiB
C++

#ifndef DISTANCE_TABLE_HPP
#define DISTANCE_TABLE_HPP
#include "engine/plugins/plugin_base.hpp"
#include "engine/api/table_parameters.hpp"
#include "engine/object_encoder.hpp"
#include "engine/routing_algorithms/many_to_many.hpp"
#include "engine/search_engine_data.hpp"
#include "util/make_unique.hpp"
#include "util/string_util.hpp"
#include "osrm/json_container.hpp"
#include <cstdlib>
#include <algorithm>
#include <memory>
#include <string>
#include <vector>
namespace osrm
{
namespace engine
{
namespace plugins
{
class DistanceTablePlugin final : public BasePlugin
{
private:
SearchEngineData heaps;
routing_algorithms::ManyToManyRouting<datafacade::BaseDataFacade> distance_table;
int max_locations_distance_table;
public:
explicit DistanceTablePlugin(datafacade::BaseDataFacade *facade,
const int max_locations_distance_table)
: BasePlugin{*facade}, distance_table(facade, heaps),
max_locations_distance_table(max_locations_distance_table)
{
}
Status HandleRequest(const api::TableParameters &params, util::json::Object &result)
{
BOOST_ASSERT(params.IsValid());
if (!CheckAllCoordinates(params.coordinates))
return Error("invalid-options", "Coordinates are invalid", result);
if (params.bearings.size() > 0 && params.coordinates.size() != params.bearings.size())
return Error("invalid-options", "Number of bearings does not match number of coordinates", result);
if (max_locations_distance_table > 0 &&
(params.sources.size() * params.destinations.size() >
max_locations_distance_table * max_locations_distance_table))
return Error("invalid-options", "Number of entries " + std::to_string(params.sources.size() * params.destinations.size()) +
" is higher than current maximum (" +
std::to_string(max_locations_distance_table * max_locations_distance_table) + ")", result);
const bool checksum_OK = (params.check_sum == BasePlugin::facade.GetCheckSum());
std::vector<PhantomNodePair> phantom_node_source_vector(params.sources.size());
std::vector<PhantomNodePair> phantom_node_target_vector(params.destinations.size());
auto phantom_node_source_out_iter = phantom_node_source_vector.begin();
auto phantom_node_target_out_iter = phantom_node_target_vector.begin();
for (const auto i : util::irange<std::size_t>(0u, params.coordinates.size()))
{
if (checksum_OK && i < params.hints.size() && !params.hints[i].empty())
{
PhantomNode current_phantom_node;
ObjectEncoder::DecodeFromBase64(params.hints[i], current_phantom_node);
if (current_phantom_node.IsValid(BasePlugin::facade.GetNumberOfNodes()))
{
if (params.is_source[i])
{
*phantom_node_source_out_iter =
std::make_pair(current_phantom_node, current_phantom_node);
if (params.is_destination[i])
{
*phantom_node_target_out_iter = *phantom_node_source_out_iter;
phantom_node_target_out_iter++;
}
phantom_node_source_out_iter++;
}
else
{
BOOST_ASSERT(params.is_destination[i] && !params.is_source[i]);
*phantom_node_target_out_iter =
std::make_pair(current_phantom_node, current_phantom_node);
phantom_node_target_out_iter++;
}
continue;
}
}
const int bearing = params.bearings.size() > 0 ? params.bearings[i].first : 0;
const int range = params.bearings.size() > 0
? (params.bearings[i].second ? *param_bearings[i].second : 10)
: 180;
if (params.is_source[i])
{
*phantom_node_source_out_iter =
BasePlugin::facade.NearestPhantomNodeWithAlternativeFromBigComponent(
params.coordinates[i], bearing, range);
// we didn't found a fitting node, return error
if (!phantom_node_source_out_iter->first.IsValid(
BasePlugin::facade.GetNumberOfNodes()))
{
result.values["status_message"] =
std::string("Could not find a matching segment for coordinate ") +
std::to_string(i);
return Status::NoSegment;
}
if (params.is_destination[i])
{
*phantom_node_target_out_iter = *phantom_node_source_out_iter;
phantom_node_target_out_iter++;
}
phantom_node_source_out_iter++;
}
else
{
BOOST_ASSERT(params.is_destination[i] && !params.is_source[i]);
*phantom_node_target_out_iter =
BasePlugin::facade.NearestPhantomNodeWithAlternativeFromBigComponent(
params.coordinates[i], bearing, range);
// we didn't found a fitting node, return error
if (!phantom_node_target_out_iter->first.IsValid(
BasePlugin::facade.GetNumberOfNodes()))
{
result.values["status_message"] =
std::string("Could not find a matching segment for coordinate ") +
std::to_string(i);
return Status::NoSegment;
}
phantom_node_target_out_iter++;
}
}
BOOST_ASSERT((phantom_node_source_out_iter - phantom_node_source_vector.begin()) ==
params.sources.size());
BOOST_ASSERT((phantom_node_target_out_iter - phantom_node_target_vector.begin()) ==
params.destinations.size());
// FIXME we should clear phantom_node_source_vector and phantom_node_target_vector after
// this
auto snapped_source_phantoms = snapPhantomNodes(phantom_node_source_vector);
auto snapped_target_phantoms = snapPhantomNodes(phantom_node_target_vector);
auto result_table = distance_table(snapped_source_phantoms, snapped_target_phantoms);
if (!result_table)
{
result.values["status_message"] = "No distance table found";
return Status::EmptyResult;
}
util::json::Array matrix_json_array;
for (const auto row : util::irange<std::size_t>(0, params.sources.size()))
{
util::json::Array json_row;
auto row_begin_iterator = result_table->begin() + (row * params.destinations.size());
auto row_end_iterator =
result_table->begin() + ((row + 1) * params.destinations.size());
json_row.values.insert(json_row.values.end(), row_begin_iterator, row_end_iterator);
matrix_json_array.values.push_back(json_row);
}
result.values["distance_table"] = matrix_json_array;
util::json::Array target_coord_json_array;
for (const auto &phantom : snapped_target_phantoms)
{
util::json::Array json_coord;
json_coord.values.push_back(phantom.location.lat / COORDINATE_PRECISION);
json_coord.values.push_back(phantom.location.lon / COORDINATE_PRECISION);
target_coord_json_array.values.push_back(json_coord);
}
result.values["destination_coordinates"] = target_coord_json_array;
util::json::Array source_coord_json_array;
for (const auto &phantom : snapped_source_phantoms)
{
util::json::Array json_coord;
json_coord.values.push_back(phantom.location.lat / COORDINATE_PRECISION);
json_coord.values.push_back(phantom.location.lon / COORDINATE_PRECISION);
source_coord_json_array.values.push_back(json_coord);
}
result.values["source_coordinates"] = source_coord_json_array;
return Status::Ok;
}
};
}
}
}
#endif // DISTANCE_TABLE_HPP