Add type traits to disable plugins for specific algorithms

This commit is contained in:
Patrick Niklaus 2017-02-25 02:22:17 +00:00 committed by Patrick Niklaus
parent 436b34ffea
commit 922e155763
13 changed files with 179 additions and 45 deletions

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@ -1,6 +1,8 @@
#ifndef OSRM_ENGINE_ALGORITHM_HPP
#define OSRM_ENGINE_ALGORITHM_HPP
#include <type_traits>
namespace osrm
{
namespace engine
@ -9,27 +11,29 @@ namespace algorithm
{
// Contraction Hiearchy
struct CH;
struct CH final {};
// Contraction Hiearchy with core
struct CoreCH final {};
}
namespace algorithm_trais
{
template <typename AlgorithmT> struct HasAlternativeRouting final
{
template <template <typename A> class FacadeT> bool operator()(const FacadeT<AlgorithmT> &)
{
return false;
}
};
template <> struct HasAlternativeRouting<algorithm::CH> final
{
template <template <typename A> class FacadeT>
bool operator()(const FacadeT<algorithm::CH> &facade)
{
return facade.GetCoreSize() == 0;
}
};
template <typename AlgorithmT> struct HasAlternativePathSearch final : std::false_type {};
template <typename AlgorithmT> struct HasShortestPathSearch final : std::false_type {};
template <typename AlgorithmT> struct HasDirectShortestPathSearch final : std::false_type {};
template <typename AlgorithmT> struct HasMapMatching final : std::false_type {};
template <typename AlgorithmT> struct HasManyToManySearch final : std::false_type {};
template <typename AlgorithmT> struct HasGetTileTurns final : std::false_type {};
template <> struct HasAlternativePathSearch<algorithm::CH> final : std::true_type {};
template <> struct HasShortestPathSearch<algorithm::CH> final : std::true_type {};
template <> struct HasDirectShortestPathSearch<algorithm::CH> final : std::true_type {};
template <> struct HasMapMatching<algorithm::CH> final : std::true_type {};
template <> struct HasManyToManySearch<algorithm::CH> final : std::true_type {};
template <> struct HasGetTileTurns<algorithm::CH> final : std::true_type {};
}
}
}

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@ -19,17 +19,17 @@ namespace engine
class RoutingAlgorithmsInterface
{
public:
virtual InternalRouteResult AlternativeRouting(const PhantomNodes &phantom_node_pair) const = 0;
virtual InternalRouteResult AlternativePathSearch(const PhantomNodes &phantom_node_pair) const = 0;
virtual InternalRouteResult
ShortestRouting(const std::vector<PhantomNodes> &phantom_node_pair,
ShortestPathSearch(const std::vector<PhantomNodes> &phantom_node_pair,
const boost::optional<bool> continue_straight_at_waypoint) const = 0;
virtual InternalRouteResult
DirectShortestPathRouting(const std::vector<PhantomNodes> &phantom_node_pair) const = 0;
DirectShortestPathSearch(const std::vector<PhantomNodes> &phantom_node_pair) const = 0;
virtual std::vector<EdgeWeight>
ManyToManyRouting(const std::vector<PhantomNode> &phantom_nodes,
ManyToManySearch(const std::vector<PhantomNode> &phantom_nodes,
const std::vector<std::size_t> &source_indices,
const std::vector<std::size_t> &target_indices) const = 0;
@ -40,12 +40,24 @@ class RoutingAlgorithmsInterface
const std::vector<boost::optional<double>> &trace_gps_precision) const = 0;
virtual std::vector<routing_algorithms::TurnData>
TileTurns(const std::vector<datafacade::BaseDataFacade::RTreeLeaf> &edges,
GetTileTurns(const std::vector<datafacade::BaseDataFacade::RTreeLeaf> &edges,
const std::vector<std::size_t> &sorted_edge_indexes) const = 0;
virtual bool HasAlternativeRouting() const = 0;
virtual bool HasAlternativePathSearch() const = 0;
virtual bool HasShortestPathSearch() const = 0;
virtual bool HasDirectShortestPathSearch() const = 0;
virtual bool HasMapMatching() const = 0;
virtual bool HasManyToManySearch() const = 0;
virtual bool HasGetTileTurns() const = 0;
};
namespace detail
{
struct NotImplementedException : public std::runtime_error {};
}
// Short-lived object passed to each plugin in request to wrap routing algorithms
template <typename AlgorithmT> class RoutingAlgorithms final : public RoutingAlgorithmsInterface
{
@ -57,27 +69,27 @@ template <typename AlgorithmT> class RoutingAlgorithms final : public RoutingAlg
}
InternalRouteResult
AlternativeRouting(const PhantomNodes &phantom_node_pair) const final override
AlternativePathSearch(const PhantomNodes &phantom_node_pair) const final override
{
return routing_algorithms::alternativePathSearch(heaps, facade, phantom_node_pair);
}
InternalRouteResult
ShortestRouting(const std::vector<PhantomNodes> &phantom_node_pair,
ShortestPathSearch(const std::vector<PhantomNodes> &phantom_node_pair,
const boost::optional<bool> continue_straight_at_waypoint) const final override
{
return routing_algorithms::shortestPathSearch(
heaps, facade, phantom_node_pair, continue_straight_at_waypoint);
}
InternalRouteResult DirectShortestPathRouting(
InternalRouteResult DirectShortestPathSearch(
const std::vector<PhantomNodes> &phantom_node_pair) const final override
{
return routing_algorithms::directShortestPathSearch(heaps, facade, phantom_node_pair);
}
std::vector<EdgeWeight>
ManyToManyRouting(const std::vector<PhantomNode> &phantom_nodes,
ManyToManySearch(const std::vector<PhantomNode> &phantom_nodes,
const std::vector<std::size_t> &source_indices,
const std::vector<std::size_t> &target_indices) const final override
{
@ -100,15 +112,40 @@ template <typename AlgorithmT> class RoutingAlgorithms final : public RoutingAlg
}
std::vector<routing_algorithms::TurnData>
TileTurns(const std::vector<datafacade::BaseDataFacade::RTreeLeaf> &edges,
GetTileTurns(const std::vector<datafacade::BaseDataFacade::RTreeLeaf> &edges,
const std::vector<std::size_t> &sorted_edge_indexes) const final override
{
return routing_algorithms::getTileTurns(facade, edges, sorted_edge_indexes);
}
bool HasAlternativeRouting() const final override
bool HasAlternativePathSearch() const final override
{
return algorithm_trais::HasAlternativeRouting<AlgorithmT>()(facade);
return algorithm_trais::HasAlternativePathSearch<AlgorithmT>::value;
}
bool HasShortestPathSearch() const final override
{
return algorithm_trais::HasShortestPathSearch<AlgorithmT>::value;
}
bool HasDirectShortestPathSearch() const final override
{
return algorithm_trais::HasDirectShortestPathSearch<AlgorithmT>::value;
}
bool HasMapMatching() const final override
{
return algorithm_trais::HasMapMatching<AlgorithmT>::value;
}
bool HasManyToManySearch() const final override
{
return algorithm_trais::HasManyToManySearch<AlgorithmT>::value;
}
bool HasGetTileTurns() const final override
{
return algorithm_trais::HasGetTileTurns<AlgorithmT>::value;
}
private:

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@ -7,6 +7,8 @@
#include "engine/algorithm.hpp"
#include "engine/search_engine_data.hpp"
#include "util/exception.hpp"
namespace osrm
{
namespace engine
@ -14,6 +16,16 @@ namespace engine
namespace routing_algorithms
{
template <typename AlgorithmT>
InternalRouteResult
alternativePathSearch(SearchEngineData &,
const datafacade::ContiguousInternalMemoryDataFacade<AlgorithmT> &,
const PhantomNodes &)
{
throw util::exception(std::string("alternativePathSearch is not implemented for ") +
typeid(AlgorithmT).name());
}
InternalRouteResult
alternativePathSearch(SearchEngineData &search_engine_data,
const datafacade::ContiguousInternalMemoryDataFacade<algorithm::CH> &facade,

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@ -15,6 +15,16 @@ namespace engine
namespace routing_algorithms
{
template <typename AlgorithmT>
InternalRouteResult
directShortestPathSearch(SearchEngineData &,
const datafacade::ContiguousInternalMemoryDataFacade<AlgorithmT> &,
const std::vector<PhantomNodes> &)
{
throw util::exception(std::string("directShortestPathSearch is not implemented for ") +
typeid(AlgorithmT).name());
}
/// This is a striped down version of the general shortest path algorithm.
/// The general algorithm always computes two queries for each leg. This is only
/// necessary in case of vias, where the directions of the start node is constrainted

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@ -17,6 +17,18 @@ namespace engine
namespace routing_algorithms
{
template <typename AlgorithmT>
std::vector<EdgeWeight>
manyToManySearch(SearchEngineData &,
const datafacade::ContiguousInternalMemoryDataFacade<AlgorithmT> &,
const std::vector<PhantomNode> &,
const std::vector<std::size_t> &,
const std::vector<std::size_t> &)
{
throw util::exception(std::string("manyToManySearch is not implemented for ") +
typeid(AlgorithmT).name());
}
std::vector<EdgeWeight>
manyToManySearch(SearchEngineData &engine_working_data,
const datafacade::ContiguousInternalMemoryDataFacade<algorithm::CH> &facade,

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@ -20,6 +20,18 @@ using CandidateLists = std::vector<CandidateList>;
using SubMatchingList = std::vector<map_matching::SubMatching>;
static const constexpr double DEFAULT_GPS_PRECISION = 5;
template <typename AlgorithmT>
SubMatchingList mapMatching(SearchEngineData &,
const datafacade::ContiguousInternalMemoryDataFacade<AlgorithmT> &,
const CandidateLists &,
const std::vector<util::Coordinate> &,
const std::vector<unsigned> &,
const std::vector<boost::optional<double>> &)
{
throw util::exception(std::string("mapMatching is not implemented for ") +
typeid(AlgorithmT).name());
}
SubMatchingList
mapMatching(SearchEngineData &engine_working_data,
const datafacade::ContiguousInternalMemoryDataFacade<algorithm::CH> &facade,

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@ -13,6 +13,17 @@ namespace engine
namespace routing_algorithms
{
template <typename AlgorithmT>
InternalRouteResult
shortestPathSearch(SearchEngineData &,
const datafacade::ContiguousInternalMemoryDataFacade<AlgorithmT> &,
const std::vector<PhantomNodes> &,
const boost::optional<bool>)
{
throw util::exception(std::string("shortestPathSearch is not implemented for ") +
typeid(AlgorithmT).name());
}
InternalRouteResult
shortestPathSearch(SearchEngineData &engine_working_data,
const datafacade::ContiguousInternalMemoryDataFacade<algorithm::CH> &facade,

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@ -27,6 +27,16 @@ struct TurnData final
using RTreeLeaf = datafacade::BaseDataFacade::RTreeLeaf;
template <typename AlgorithmT>
std::vector<TurnData>
getTileTurns(const datafacade::ContiguousInternalMemoryDataFacade<AlgorithmT> &,
const std::vector<RTreeLeaf> &,
const std::vector<std::size_t> &)
{
throw util::exception(std::string("getTileTurns is not implemented for ") +
typeid(AlgorithmT).name());
}
std::vector<TurnData>
getTileTurns(const datafacade::ContiguousInternalMemoryDataFacade<algorithm::CH> &facade,
const std::vector<RTreeLeaf> &edges,

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@ -113,6 +113,11 @@ Status MatchPlugin::HandleRequest(const datafacade::ContiguousInternalMemoryData
const api::MatchParameters &parameters,
util::json::Object &json_result) const
{
if (!algorithms.HasMapMatching())
{
return Error("NotImplemented", "Map matching is not implemented for the chosen search algorithm.", json_result);
}
BOOST_ASSERT(parameters.IsValid());
// enforce maximum number of locations for performance reasons
@ -209,7 +214,7 @@ Status MatchPlugin::HandleRequest(const datafacade::ContiguousInternalMemoryData
// bi-directional
// phantom nodes for possible uturns
sub_routes[index] =
algorithms.ShortestRouting(sub_routes[index].segment_end_coordinates, {false});
algorithms.ShortestPathSearch(sub_routes[index].segment_end_coordinates, {false});
BOOST_ASSERT(sub_routes[index].shortest_path_length != INVALID_EDGE_WEIGHT);
}

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@ -33,6 +33,11 @@ Status TablePlugin::HandleRequest(const datafacade::ContiguousInternalMemoryData
const api::TableParameters &params,
util::json::Object &result) const
{
if (!algorithms.HasManyToManySearch())
{
return Error("NotImplemented", "Many to many search is not implemented for the chosen search algorithm.", result);
}
BOOST_ASSERT(params.IsValid());
if (!CheckAllCoordinates(params.coordinates))
@ -62,7 +67,7 @@ Status TablePlugin::HandleRequest(const datafacade::ContiguousInternalMemoryData
auto snapped_phantoms = SnapPhantomNodes(GetPhantomNodes(facade, params));
auto result_table =
algorithms.ManyToManyRouting(snapped_phantoms, params.sources, params.destinations);
algorithms.ManyToManySearch(snapped_phantoms, params.sources, params.destinations);
if (result_table.empty())
{

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@ -756,9 +756,9 @@ Status TilePlugin::HandleRequest(const datafacade::ContiguousInternalMemoryDataF
// If we're zooming into 16 or higher, include turn data. Why? Because turns make the map
// really cramped, so we don't bother including the data for tiles that span a large area.
if (parameters.z >= MIN_ZOOM_FOR_TURNS)
if (parameters.z >= MIN_ZOOM_FOR_TURNS && algorithms.HasGetTileTurns())
{
turns = algorithms.TileTurns(edges, edge_index);
turns = algorithms.GetTileTurns(edges, edge_index);
}
encodeVectorTile(

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@ -85,7 +85,7 @@ InternalRouteResult TripPlugin::ComputeRoute(const RoutingAlgorithmsInterface &a
BOOST_ASSERT(min_route.segment_end_coordinates.size() == trip.size() - 1);
}
min_route = algorithms.ShortestRouting(min_route.segment_end_coordinates, {false});
min_route = algorithms.ShortestPathSearch(min_route.segment_end_coordinates, {false});
BOOST_ASSERT_MSG(min_route.shortest_path_length < INVALID_EDGE_WEIGHT, "unroutable route");
return min_route;
}
@ -147,6 +147,15 @@ Status TripPlugin::HandleRequest(const datafacade::ContiguousInternalMemoryDataF
const api::TripParameters &parameters,
util::json::Object &json_result) const
{
if (!algorithms.HasShortestPathSearch())
{
return Error("NotImplemented", "Shortest path search is not implemented for the chosen search algorithm.", json_result);
}
if (!algorithms.HasManyToManySearch())
{
return Error("NotImplemented", "Many to many search is not implemented for the chosen search algorithm.", json_result);
}
BOOST_ASSERT(parameters.IsValid());
const auto number_of_locations = parameters.coordinates.size();
@ -201,7 +210,7 @@ Status TripPlugin::HandleRequest(const datafacade::ContiguousInternalMemoryDataF
// compute the duration table of all phantom nodes
auto result_table = util::DistTableWrapper<EdgeWeight>(
algorithms.ManyToManyRouting(snapped_phantoms, {}, {}), number_of_locations);
algorithms.ManyToManySearch(snapped_phantoms, {}, {}), number_of_locations);
if (result_table.size() == 0)
{

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@ -34,6 +34,16 @@ ViaRoutePlugin::HandleRequest(const datafacade::ContiguousInternalMemoryDataFaca
{
BOOST_ASSERT(route_parameters.IsValid());
if (!algorithms.HasShortestPathSearch() && route_parameters.coordinates.size() > 2)
{
return Error("NotImplemented", "Shortest path search is not implemented for the chosen search algorithm. Only two coordinates supported.", json_result);
}
if (!algorithms.HasDirectShortestPathSearch() && !algorithms.HasShortestPathSearch())
{
return Error("NotImplemented", "Direct shortest path search is not implemented for the chosen search algorithm.", json_result);
}
if (max_locations_viaroute > 0 &&
(static_cast<int>(route_parameters.coordinates.size()) > max_locations_viaroute))
{
@ -85,20 +95,17 @@ ViaRoutePlugin::HandleRequest(const datafacade::ContiguousInternalMemoryDataFaca
};
util::for_each_pair(snapped_phantoms, build_phantom_pairs);
if (1 == raw_route.segment_end_coordinates.size())
if (1 == raw_route.segment_end_coordinates.size() && algorithms.HasAlternativePathSearch() && route_parameters.alternatives)
{
if (route_parameters.alternatives && algorithms.HasAlternativeRouting())
{
raw_route = algorithms.AlternativeRouting(raw_route.segment_end_coordinates.front());
}
else
{
raw_route = algorithms.DirectShortestPathRouting(raw_route.segment_end_coordinates);
}
raw_route = algorithms.AlternativePathSearch(raw_route.segment_end_coordinates.front());
}
else if (1 == raw_route.segment_end_coordinates.size() && algorithms.HasDirectShortestPathSearch())
{
raw_route = algorithms.DirectShortestPathSearch(raw_route.segment_end_coordinates);
}
else
{
raw_route = algorithms.ShortestRouting(raw_route.segment_end_coordinates,
raw_route = algorithms.ShortestPathSearch(raw_route.segment_end_coordinates,
route_parameters.continue_straight);
}