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Organize and consolidate header files (#220)
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tooling/pipeline/includes/data_model/models.h
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131
tooling/pipeline/includes/data_model/models.h
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#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_MODELS_H_
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#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_MODELS_H_
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/**
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* @file data_model/models.h
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* @brief Core data models: locations, application configuration, and generation inputs.
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*/
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#include <boost/program_options.hpp>
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#include <cstdint>
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#include <filesystem>
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#include <optional>
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#include <string>
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#include <string_view>
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#include <vector>
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namespace prog_opts = boost::program_options;
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// ============================================================================
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// Location Models
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// ============================================================================
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/**
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* @brief Canonical location record for city-level generation.
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*/
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struct Location {
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/// @brief City name.
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std::string city{};
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/// @brief State or province name.
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std::string state_province{};
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/// @brief ISO 3166-2 subdivision code.
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std::string iso3166_2{};
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/// @brief Country name.
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std::string country{};
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/// @brief ISO 3166-1 country code.
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std::string iso3166_1{};
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/// @brief Local language codes in priority order.
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std::vector<std::string> local_languages{};
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/// @brief Latitude in decimal degrees.
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double latitude{};
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/// @brief Longitude in decimal degrees.
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double longitude{};
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};
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/**
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* @brief Non-owning brewery location input.
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*/
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struct BreweryLocation {
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/// @brief City name.
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std::string_view city_name;
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/// @brief Country name.
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std::string_view country_name;
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};
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// ============================================================================
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// Configuration Models
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// ============================================================================
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/**
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* @brief LLM sampling parameters.
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*/
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struct SamplingOptions {
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/// @brief LLM sampling temperature (0.0 to 1.0, higher = more random).
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float temperature = 1.0F;
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/// @brief LLM nucleus sampling top-p parameter.
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float top_p = 0.95F;
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/// @brief LLM top-k sampling parameter.
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uint32_t top_k = 64;
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/// @brief Context window size (tokens).
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uint32_t n_ctx = 8192;
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/// @brief Random seed (-1 for random, otherwise non-negative).
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int seed = -1;
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};
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/**
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* @brief Configuration for the LLM generator component.
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*/
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struct GeneratorOptions {
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/// @brief Path to the LLM model file (gguf format).
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std::filesystem::path model_path;
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/// @brief Use mocked generator instead of actual LLM inference.
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bool use_mocked = false;
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/// @brief Specific sampling parameters for this generator.
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/// If nullopt, the application should use global defaults.
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std::optional<SamplingOptions> sampling;
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};
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/**
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* @brief Configuration for the pipeline execution and output.
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*/
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struct PipelineOptions {
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/// @brief Directory for generated artifacts.
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std::filesystem::path output_path;
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/// @brief Directory that contains named prompt files (e.g.
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/// BREWERY_GENERATION.md).
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std::filesystem::path prompt_dir;
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/// @brief Path for application logs.
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std::filesystem::path log_path;
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};
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/**
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* @brief Root configuration object for the Biergarten pipeline.
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*/
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struct ApplicationOptions {
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GeneratorOptions generator;
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PipelineOptions pipeline;
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};
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// ============================================================================
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// Function Declarations
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// ============================================================================
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std::optional<ApplicationOptions> ParseArguments(const int argc, char** argv);
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#endif // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_MODELS_H_
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