osrm-backend/include/engine/engine_config.hpp

/*

Copyright (c) 2017, Project OSRM contributors
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*/

#ifndef ENGINE_CONFIG_HPP
#define ENGINE_CONFIG_HPP

#include "storage/storage_config.hpp"
#include "osrm/datasets.hpp"

#include <boost/filesystem/path.hpp>

#include <set>
#include <string>

namespace osrm::engine
{

/**
 * Configures an OSRM instance.
 *
 * You can customize the storage OSRM uses for auxiliary files specifying a storage config.
 *
 * You can further set service constraints.
 * These are the maximum number of allowed locations (-1 for unlimited) for the services:
 *  - Trip
 *  - Route
 *  - Table
 *  - Match
 *  - Nearest
 *
 * In addition, shared memory can be used for datasets loaded with osrm-datastore.
 *
 * You can chose between two algorithms:
 *  - Algorithm::CH
 *      Contraction Hierarchies, extremely fast queries but slow pre-processing. The default right
 * now.
 *  - Algorithm::MLD
 *      Multi Level Dijkstra, moderately fast in both pre-processing and query.
 *
 * \see OSRM, StorageConfig
 */
struct EngineConfig final
{
    bool IsValid() const;

    enum class Algorithm
    {
        CH,
        MLD
    };

    storage::StorageConfig storage_config;
    int max_locations_trip = -1;
    int max_locations_viaroute = -1;
    int max_locations_distance_table = -1;
    int max_locations_map_matching = -1;
    double max_radius_map_matching = -1.0;
    int max_results_nearest = -1;
    boost::optional<double> default_radius = -1.0;
    int max_alternatives = 3; // set an arbitrary upper bound; can be adjusted by user
    bool use_shared_memory = true;
    boost::filesystem::path memory_file;
    bool use_mmap = true;
    Algorithm algorithm = Algorithm::CH;
    std::vector<storage::FeatureDataset> disable_feature_dataset;
    std::string verbosity;
    std::string dataset_name;
};
} // namespace osrm::engine

#endif // SERVER_CONFIG_HPP