#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_MODELS_H_
#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_MODELS_H_

/**
 * @file data_model/models.h
 * @brief Core data models: locations, application configuration, and generation
 * inputs.
 */

#include <boost/program_options.hpp>
#include <cstdint>
#include <filesystem>
#include <optional>
#include <string>
#include <string_view>
#include <vector>

namespace prog_opts = boost::program_options;

// ============================================================================
// Location Models
// ============================================================================

/**
 * @brief Canonical location record for city-level generation.
 */
struct Location {
  /// @brief City name.
  std::string city{};

  /// @brief State or province name.
  std::string state_province{};

  /// @brief ISO 3166-2 subdivision code.
  std::string iso3166_2{};

  /// @brief Country name.
  std::string country{};

  /// @brief ISO 3166-1 country code.
  std::string iso3166_1{};

  /// @brief Local language codes in priority order.
  std::vector<std::string> local_languages{};

  /// @brief Latitude in decimal degrees.
  double latitude{};

  /// @brief Longitude in decimal degrees.
  double longitude{};
};

/**
 * @brief Non-owning brewery location input.
 */
struct BreweryLocation {
  /// @brief City name.
  std::string_view city_name;

  /// @brief Country name.
  std::string_view country_name;
};

// ============================================================================
// Configuration Models
// ============================================================================

/**
 * @brief LLM sampling parameters.
 */
struct SamplingOptions {
  /// @brief LLM sampling temperature (0.0 to 1.0, higher = more random).
  float temperature = 1.0F;

  /// @brief LLM nucleus sampling top-p parameter.
  float top_p = 0.95F;

  /// @brief LLM top-k sampling parameter.
  uint32_t top_k = 64;

  /// @brief Context window size (tokens).
  uint32_t n_ctx = 8192;

  /// @brief Random seed (-1 for random, otherwise non-negative).
  int seed = -1;
};

/**
 * @brief Configuration for the LLM generator component.
 */
struct GeneratorOptions {
  /// @brief Path to the LLM model file (gguf format).
  std::filesystem::path model_path;

  /// @brief Use mocked generator instead of actual LLM inference.
  bool use_mocked = false;

  /// @brief Number of layers to offload to GPU.
  int n_gpu_layers = 0;

  /// @brief Specific sampling parameters for this generator.
  /// If nullopt, the application should use global defaults.
  std::optional<SamplingOptions> sampling;
};

/**
 * @brief Configuration for the pipeline execution and output.
 */
struct PipelineOptions {
  /// @brief Directory for generated artifacts.
  std::filesystem::path output_path;

  /// @brief Directory that contains named prompt files (e.g.
  /// BREWERY_GENERATION.md).
  std::filesystem::path prompt_dir;

  /// @brief Path for application logs.
  std::filesystem::path log_path;
};

/**
 * @brief Root configuration object for the Biergarten pipeline.
 */
struct ApplicationOptions {
  GeneratorOptions generator;
  PipelineOptions pipeline;
};

// ============================================================================
// Function Declarations
// ============================================================================

std::optional<ApplicationOptions> ParseArguments(const int argc, char** argv);

#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_MODELS_H_