edit prompt

pipeline/.clang-format

@@ -1,10 +1,5 @@
 ---
 BasedOnStyle: Google
-Standard: c++23
-ColumnLimit: 100
-IndentWidth: 2
-DerivePointerAlignment: false
-PointerAlignment: Left
-SortIncludes: true
-IncludeBlocks: Preserve
+ColumnLimit: 80
+IndentWidth: 3
 ...

pipeline/CMakeLists.txt

@@ -83,8 +83,18 @@ set(PIPELINE_SOURCES
     src/data_generation/data_downloader.cpp
     src/database/database.cpp
     src/json_handling/json_loader.cpp
-    src/data_generation/llama_generator.cpp
-    src/data_generation/mock_generator.cpp
+    src/data_generation/llama/destructor.cpp
+    src/data_generation/llama/set_sampling_options.cpp
+    src/data_generation/llama/load.cpp
+    src/data_generation/llama/infer.cpp
+    src/data_generation/llama/generate_brewery.cpp
+    src/data_generation/llama/generate_user.cpp
+    src/data_generation/llama/helpers.cpp
+    src/data_generation/mock/data.cpp
+    src/data_generation/mock/deterministic_hash.cpp
+    src/data_generation/mock/load.cpp
+    src/data_generation/mock/generate_brewery.cpp
+    src/data_generation/mock/generate_user.cpp
     src/json_handling/stream_parser.cpp
     src/wikipedia/wikipedia_service.cpp
     src/main.cpp

pipeline/includes/biergarten_data_generator.h

@@ -3,23 +3,24 @@
 
 #include <memory>
 #include <string>
-#include <vector>
 #include <unordered_map>
+#include <vector>
 
 #include "data_generation/data_generator.h"
 #include "database/database.h"
 #include "web_client/web_client.h"
 #include "wikipedia/wikipedia_service.h"
 
-
 /**
  * @brief Program options for the Biergarten pipeline application.
  */
 struct ApplicationOptions {
-  /// @brief Path to the LLM model file (gguf format); mutually exclusive with use_mocked.
+   /// @brief Path to the LLM model file (gguf format); mutually exclusive with
+   /// use_mocked.
    std::string model_path;
 
-  /// @brief Use mocked generator instead of LLM; mutually exclusive with model_path.
+   /// @brief Use mocked generator instead of LLM; mutually exclusive with
+   /// model_path.
    bool use_mocked = false;
 
    /// @brief Directory for cached JSON and database files.
@@ -28,24 +29,24 @@ struct ApplicationOptions {
    /// @brief LLM sampling temperature (0.0 to 1.0, higher = more random).
    float temperature = 0.8f;
 
-  /// @brief LLM nucleus sampling top-p parameter (0.0 to 1.0, higher = more random).
+   /// @brief LLM nucleus sampling top-p parameter (0.0 to 1.0, higher = more
+   /// random).
    float top_p = 0.92f;
 
    /// @brief Random seed for sampling (-1 for random, otherwise non-negative).
    int seed = -1;
 
-  /// @brief Git commit hash for database consistency (always pinned to c5eb7772).
+   /// @brief Git commit hash for database consistency (always pinned to
+   /// c5eb7772).
    std::string commit = "c5eb7772";
 };
 
-#endif  // BIERGARTEN_PIPELINE_BIERGARTEN_DATA_GENERATOR_H_
-
-
 /**
  * @brief Main data generator class for the Biergarten pipeline.
  *
  * This class encapsulates the core logic for generating brewery data.
- * It handles database initialization, data loading/downloading, and brewery generation.
+ * It handles database initialization, data loading/downloading, and brewery
+ * generation.
  */
 class BiergartenDataGenerator {
   public:
@@ -83,6 +84,16 @@ private:
    /// @brief Database dependency.
    SqliteDatabase& database_;
 
+   /**
+    * @brief Enriched city data with Wikipedia context.
+    */
+   struct EnrichedCity {
+      int city_id;
+      std::string city_name;
+      std::string country_name;
+      std::string region_context;
+   };
+
    /**
     * @brief Initialize the data generator based on options.
     *
@@ -98,19 +109,45 @@ private:
    void LoadGeographicData();
 
    /**
-   * @brief Generate sample breweries for demonstration.
+    * @brief Query cities from database and build country name map.
+    *
+    * @return Vector of (City, country_name) pairs capped at 30 entries.
     */
-  void GenerateSampleBreweries();
+   std::vector<std::pair<City, std::string>> QueryCitiesWithCountries();
+
+   /**
+    * @brief Enrich cities with Wikipedia summaries.
+    *
+    * @param cities Vector of (City, country_name) pairs.
+    * @return Vector of enriched city data with context.
+    */
+   std::vector<EnrichedCity> EnrichWithWikipedia(
+       const std::vector<std::pair<City, std::string>>& cities);
+
+   /**
+    * @brief Generate breweries for enriched cities.
+    *
+    * @param generator The data generator instance.
+    * @param cities Vector of enriched city data.
+    */
+   void GenerateBreweries(DataGenerator& generator,
+                          const std::vector<EnrichedCity>& cities);
+
+   /**
+    * @brief Log the generated brewery results.
+    */
+   void LogResults() const;
 
    /**
     * @brief Helper struct to store generated brewery data.
     */
    struct GeneratedBrewery {
-    int cityId;
-    std::string cityName;
+      int city_id;
+      std::string city_name;
       BreweryResult brewery;
    };
 
    /// @brief Stores generated brewery data.
    std::vector<GeneratedBrewery> generatedBreweries_;
 };
+#endif  // BIERGARTEN_PIPELINE_BIERGARTEN_DATA_GENERATOR_H_

pipeline/includes/data_generation/data_downloader.h

@@ -19,7 +19,8 @@ public:
    /// @brief Returns a local JSON path, downloading it when cache is missing.
    std::string DownloadCountriesDatabase(
        const std::string& cache_path,
-      const std::string &commit = "c5eb7772" // Stable commit: 2026-03-28 export
+       const std::string& commit =
+           "c5eb7772"  // Stable commit: 2026-03-28 export
    );
 
   private:

pipeline/includes/data_generation/llama_generator.h

@@ -28,7 +28,10 @@ private:
    // models receive a proper system role instead of having the system text
    // concatenated into the user prompt (helps avoid revealing internal
    // reasoning or instructions in model output).
-  std::string Infer(const std::string &system_prompt, const std::string &prompt,
+   std::string Infer(const std::string& system_prompt,
+                     const std::string& prompt, int max_tokens = 10000);
+
+   std::string InferFormatted(const std::string& formatted_prompt,
                               int max_tokens = 10000);
 
    llama_model* model_ = nullptr;

pipeline/includes/data_generation/llama_generator_helpers.h

@@ -0,0 +1,32 @@
+#ifndef BIERGARTEN_PIPELINE_DATA_GENERATION_LLAMA_GENERATOR_HELPERS_H_
+#define BIERGARTEN_PIPELINE_DATA_GENERATION_LLAMA_GENERATOR_HELPERS_H_
+
+#include <string>
+#include <utility>
+
+struct llama_model;
+struct llama_vocab;
+typedef int llama_token;
+
+// Helper functions for LlamaGenerator methods
+std::string PrepareRegionContextPublic(std::string_view region_context,
+                                       std::size_t max_chars = 700);
+
+std::pair<std::string, std::string> ParseTwoLineResponsePublic(
+    const std::string& raw, const std::string& error_message);
+
+std::string ToChatPromptPublic(const llama_model* model,
+                               const std::string& user_prompt);
+
+std::string ToChatPromptPublic(const llama_model* model,
+                               const std::string& system_prompt,
+                               const std::string& user_prompt);
+
+void AppendTokenPiecePublic(const llama_vocab* vocab, llama_token token,
+                            std::string& output);
+
+std::string ValidateBreweryJsonPublic(const std::string& raw,
+                                      std::string& name_out,
+                                      std::string& description_out);
+
+#endif  // BIERGARTEN_PIPELINE_DATA_GENERATION_LLAMA_GENERATOR_HELPERS_H_

pipeline/includes/data_generation/mock_generator.h

@@ -1,10 +1,11 @@
 #ifndef BIERGARTEN_PIPELINE_DATA_GENERATION_MOCK_GENERATOR_H_
 #define BIERGARTEN_PIPELINE_DATA_GENERATION_MOCK_GENERATOR_H_
 
-#include "data_generation/data_generator.h"
 #include <string>
 #include <vector>
 
+#include "data_generation/data_generator.h"
+
 class MockGenerator final : public DataGenerator {
   public:
    void Load(const std::string& model_path) override;

pipeline/includes/database/database.h

@@ -1,8 +1,9 @@
 #ifndef BIERGARTEN_PIPELINE_DATABASE_DATABASE_H_
 #define BIERGARTEN_PIPELINE_DATABASE_DATABASE_H_
 
-#include <mutex>
 #include <sqlite3.h>
+
+#include <mutex>
 #include <string>
 #include <vector>
 
@@ -67,8 +68,8 @@ public:
                     const std::string& iso2);
 
    /// @brief Inserts a city row linked to state and country.
-  void InsertCity(int id, int state_id, int country_id, const std::string &name,
-                  double latitude, double longitude);
+   void InsertCity(int id, int state_id, int country_id,
+                   const std::string& name, double latitude, double longitude);
 
    /// @brief Returns city records including parent country id.
    std::vector<City> QueryCities();

pipeline/includes/json_handling/json_loader.h

@@ -1,15 +1,17 @@
 #ifndef BIERGARTEN_PIPELINE_JSON_HANDLING_JSON_LOADER_H_
 #define BIERGARTEN_PIPELINE_JSON_HANDLING_JSON_LOADER_H_
 
+#include <string>
+
 #include "database/database.h"
 #include "json_handling/stream_parser.h"
-#include <string>
 
 /// @brief Loads world-city JSON data into SQLite through streaming parsing.
 class JsonLoader {
   public:
    /// @brief Parses a JSON file and writes country/state/city rows into db.
-  static void LoadWorldCities(const std::string &json_path, SqliteDatabase &db);
+   static void LoadWorldCities(const std::string& json_path,
+                               SqliteDatabase& db);
 };
 
 #endif  // BIERGARTEN_PIPELINE_JSON_HANDLING_JSON_LOADER_H_

pipeline/includes/json_handling/stream_parser.h

@@ -1,10 +1,11 @@
 #ifndef BIERGARTEN_PIPELINE_JSON_HANDLING_STREAM_PARSER_H_
 #define BIERGARTEN_PIPELINE_JSON_HANDLING_STREAM_PARSER_H_
 
-#include "database/database.h"
 #include <functional>
 #include <string>
 
+#include "database/database.h"
+
 // Forward declaration to avoid circular dependency
 class SqliteDatabase;
 

pipeline/includes/web_client/curl_web_client.h

@@ -1,9 +1,10 @@
 #ifndef BIERGARTEN_PIPELINE_WEB_CLIENT_CURL_WEB_CLIENT_H_
 #define BIERGARTEN_PIPELINE_WEB_CLIENT_CURL_WEB_CLIENT_H_
 
-#include "web_client/web_client.h"
 #include <memory>
 
+#include "web_client/web_client.h"
+
 // RAII for curl_global_init/cleanup.
 // An instance of this class should be created in main() before any curl
 // operations and exist for the lifetime of the application.

pipeline/includes/web_client/web_client.h

@@ -11,8 +11,8 @@ public:
    virtual void DownloadToFile(const std::string& url,
                                const std::string& file_path) = 0;
 
-  // Performs a GET request and returns the response body as a string. Throws on
-  // error.
+   // Performs a GET request and returns the response body as a string. Throws
+   // on error.
    virtual std::string Get(const std::string& url) = 0;
 
    // URL-encodes a string.

pipeline/src/biergarten_data_generator.cpp

@@ -1,20 +1,19 @@
 #include "biergarten_data_generator.h"
 
+#include <spdlog/spdlog.h>
+
 #include <algorithm>
 #include <filesystem>
 #include <unordered_map>
 
-#include <spdlog/spdlog.h>
-
 #include "data_generation/data_downloader.h"
-#include "json_handling/json_loader.h"
 #include "data_generation/llama_generator.h"
 #include "data_generation/mock_generator.h"
+#include "json_handling/json_loader.h"
 #include "wikipedia/wikipedia_service.h"
 
 BiergartenDataGenerator::BiergartenDataGenerator(
-    const ApplicationOptions &options,
-    std::shared_ptr<WebClient> web_client,
+    const ApplicationOptions& options, std::shared_ptr<WebClient> web_client,
     SqliteDatabase& database)
     : options_(options), webClient_(web_client), database_(database) {}
 
@@ -62,57 +61,79 @@ void BiergartenDataGenerator::LoadGeographicData() {
    }
 }
 
-void BiergartenDataGenerator::GenerateSampleBreweries() {
-  auto generator = InitializeGenerator();
-  WikipediaService wikipedia_service(webClient_);
-
+std::vector<std::pair<City, std::string>>
+BiergartenDataGenerator::QueryCitiesWithCountries() {
    spdlog::info("\n=== GEOGRAPHIC DATA OVERVIEW ===");
 
-  auto countries = database_.QueryCountries(50);
-  auto states = database_.QueryStates(50);
    auto cities = database_.QueryCities();
 
    // Build a quick map of country id -> name for per-city lookups.
    auto all_countries = database_.QueryCountries(0);
    std::unordered_map<int, std::string> country_map;
-  for (const auto &c : all_countries)
+   for (const auto& c : all_countries) {
       country_map[c.id] = c.name;
+   }
 
    spdlog::info("\nTotal records loaded:");
    spdlog::info("  Countries: {}", database_.QueryCountries(0).size());
    spdlog::info("  States: {}", database_.QueryStates(0).size());
    spdlog::info("  Cities: {}", cities.size());
 
-  generatedBreweries_.clear();
+   // Cap at 30 entries.
    const size_t sample_count = std::min(size_t(30), cities.size());
+   std::vector<std::pair<City, std::string>> result;
 
-  spdlog::info("\n=== SAMPLE BREWERY GENERATION ===");
    for (size_t i = 0; i < sample_count; i++) {
       const auto& city = cities[i];
-    const int city_id = city.id;
-    const std::string city_name = city.name;
-
-    std::string local_country;
+      std::string country_name;
       const auto country_it = country_map.find(city.country_id);
       if (country_it != country_map.end()) {
-      local_country = country_it->second;
+         country_name = country_it->second;
+      }
+      result.push_back({city, country_name});
    }
 
+   return result;
+}
+
+std::vector<BiergartenDataGenerator::EnrichedCity>
+BiergartenDataGenerator::EnrichWithWikipedia(
+    const std::vector<std::pair<City, std::string>>& cities) {
+   WikipediaService wikipedia_service(webClient_);
+   std::vector<EnrichedCity> enriched;
+
+   for (const auto& [city, country_name] : cities) {
       const std::string region_context =
-        wikipedia_service.GetSummary(city_name, local_country);
-    spdlog::debug("[Pipeline] Region context for {}: {}", city_name,
+          wikipedia_service.GetSummary(city.name, country_name);
+      spdlog::debug("[Pipeline] Region context for {}: {}", city.name,
                     region_context);
 
-    auto brewery =
-        generator->GenerateBrewery(city_name, local_country, region_context);
-    generatedBreweries_.push_back({city_id, city_name, brewery});
+      enriched.push_back({city.id, city.name, country_name, region_context});
    }
 
+   return enriched;
+}
+
+void BiergartenDataGenerator::GenerateBreweries(
+    DataGenerator& generator, const std::vector<EnrichedCity>& cities) {
+   spdlog::info("\n=== SAMPLE BREWERY GENERATION ===");
+   generatedBreweries_.clear();
+
+   for (const auto& enriched_city : cities) {
+      auto brewery = generator.GenerateBrewery(enriched_city.city_name,
+                                               enriched_city.country_name,
+                                               enriched_city.region_context);
+      generatedBreweries_.push_back(
+          {enriched_city.city_id, enriched_city.city_name, brewery});
+   }
+}
+
+void BiergartenDataGenerator::LogResults() const {
    spdlog::info("\n=== GENERATED DATA DUMP ===");
    for (size_t i = 0; i < generatedBreweries_.size(); i++) {
       const auto& entry = generatedBreweries_[i];
-    spdlog::info("{}. city_id={} city=\"{}\"", i + 1, entry.cityId,
-                 entry.cityName);
+      spdlog::info("{}. city_id={} city=\"{}\"", i + 1, entry.city_id,
+                   entry.city_name);
       spdlog::info("   brewery_name=\"{}\"", entry.brewery.name);
       spdlog::info("   brewery_description=\"{}\"", entry.brewery.description);
    }
@@ -121,7 +142,11 @@ void BiergartenDataGenerator::GenerateSampleBreweries() {
 int BiergartenDataGenerator::Run() {
    try {
       LoadGeographicData();
-    GenerateSampleBreweries();
+      auto generator = InitializeGenerator();
+      auto cities = QueryCitiesWithCountries();
+      auto enriched = EnrichWithWikipedia(cities);
+      GenerateBreweries(*generator, enriched);
+      LogResults();
 
       spdlog::info("\nOK: Pipeline completed successfully");
       return 0;

pipeline/src/data_generation/data_downloader.cpp

@@ -1,11 +1,14 @@
 #include "data_generation/data_downloader.h"
-#include "web_client/web_client.h"
+
+#include <spdlog/spdlog.h>
+
 #include <filesystem>
 #include <fstream>
-#include <spdlog/spdlog.h>
 #include <sstream>
 #include <stdexcept>
 
+#include "web_client/web_client.h"
+
 DataDownloader::DataDownloader(std::shared_ptr<WebClient> web_client)
     : web_client_(std::move(web_client)) {}
 
@@ -15,9 +18,8 @@ bool DataDownloader::FileExists(const std::string &file_path) {
    return std::filesystem::exists(file_path);
 }
 
-std::string
-DataDownloader::DownloadCountriesDatabase(const std::string &cache_path,
-                                          const std::string &commit) {
+std::string DataDownloader::DownloadCountriesDatabase(
+    const std::string& cache_path, const std::string& commit) {
    if (FileExists(cache_path)) {
       spdlog::info("[DataDownloader] Cache hit: {}", cache_path);
       return cache_path;
@@ -28,7 +30,8 @@ DataDownloader::DownloadCountriesDatabase(const std::string &cache_path,
       short_commit = commit.substr(0, 7);
    }
 
-  std::string url = "https://raw.githubusercontent.com/dr5hn/"
+   std::string url =
+       "https://raw.githubusercontent.com/dr5hn/"
        "countries-states-cities-database/" +
        short_commit + "/json/countries+states+cities.json";
 

pipeline/src/data_generation/llama/destructor.cpp

@@ -0,0 +1,16 @@
+#include "data_generation/llama_generator.h"
+#include "llama.h"
+
+LlamaGenerator::~LlamaGenerator() {
+   if (context_ != nullptr) {
+      llama_free(context_);
+      context_ = nullptr;
+   }
+
+   if (model_ != nullptr) {
+      llama_model_free(model_);
+      model_ = nullptr;
+   }
+
+   llama_backend_free();
+}

pipeline/src/data_generation/llama/generate_brewery.cpp

@@ -0,0 +1,74 @@
+#include <spdlog/spdlog.h>
+
+#include <stdexcept>
+#include <string>
+
+#include "data_generation/llama_generator.h"
+#include "data_generation/llama_generator_helpers.h"
+
+BreweryResult LlamaGenerator::GenerateBrewery(
+    const std::string& city_name, const std::string& country_name,
+    const std::string& region_context) {
+   const std::string safe_region_context =
+       PrepareRegionContextPublic(region_context);
+
+   const std::string system_prompt =
+       "You are the brewmaster and owner of a local craft brewery. "
+       "Write a name and a short, soulful description for your brewery that "
+       "reflects your pride in the local community and your craft. "
+       "The tone should be authentic and welcoming, like a note on a "
+       "chalkboard "
+       "menu. Output ONLY a single JSON object with keys \"name\" and "
+       "\"description\". "
+       "Do not include markdown formatting or backticks.";
+
+   std::string prompt =
+       "Write a brewery name and place-specific long description for a craft "
+       "brewery in " +
+       city_name +
+       (country_name.empty() ? std::string("")
+                             : std::string(", ") + country_name) +
+       (safe_region_context.empty()
+            ? std::string(".")
+            : std::string(". Regional context: ") + safe_region_context);
+
+   const int max_attempts = 3;
+   std::string raw;
+   std::string last_error;
+   for (int attempt = 0; attempt < max_attempts; ++attempt) {
+      raw = Infer(system_prompt, prompt, 384);
+      spdlog::debug("LlamaGenerator: raw output (attempt {}): {}", attempt + 1,
+                    raw);
+
+      std::string name;
+      std::string description;
+      const std::string validation_error =
+          ValidateBreweryJsonPublic(raw, name, description);
+      if (validation_error.empty()) {
+         return {std::move(name), std::move(description)};
+      }
+
+      last_error = validation_error;
+      spdlog::warn("LlamaGenerator: malformed brewery JSON (attempt {}): {}",
+                   attempt + 1, validation_error);
+
+      prompt =
+          "Your previous response was invalid. Error: " + validation_error +
+          "\nReturn ONLY valid JSON with this exact schema: "
+          "{\"name\": \"string\", \"description\": \"string\"}."
+          "\nDo not include markdown, comments, or extra keys."
+          "\n\nLocation: " +
+          city_name +
+          (country_name.empty() ? std::string("")
+                                : std::string(", ") + country_name) +
+          (safe_region_context.empty()
+               ? std::string("")
+               : std::string("\nRegional context: ") + safe_region_context);
+   }
+
+   spdlog::error(
+       "LlamaGenerator: malformed brewery response after {} attempts: "
+       "{}",
+       max_attempts, last_error.empty() ? raw : last_error);
+   throw std::runtime_error("LlamaGenerator: malformed brewery response");
+}

pipeline/src/data_generation/llama/generate_user.cpp

@@ -0,0 +1,57 @@
+#include <spdlog/spdlog.h>
+
+#include <algorithm>
+#include <stdexcept>
+#include <string>
+
+#include "data_generation/llama_generator.h"
+#include "data_generation/llama_generator_helpers.h"
+
+UserResult LlamaGenerator::GenerateUser(const std::string& locale) {
+   const std::string system_prompt =
+       "You generate plausible social media profiles for craft beer "
+       "enthusiasts. "
+       "Respond with exactly two lines: "
+       "the first line is a username (lowercase, no spaces, 8-20 characters), "
+       "the second line is a one-sentence bio (20-40 words). "
+       "The profile should feel consistent with the locale. "
+       "No preamble, no labels.";
+
+   std::string prompt =
+       "Generate a craft beer enthusiast profile. Locale: " + locale;
+
+   const int max_attempts = 3;
+   std::string raw;
+   for (int attempt = 0; attempt < max_attempts; ++attempt) {
+      raw = Infer(system_prompt, prompt, 128);
+      spdlog::debug("LlamaGenerator (user): raw output (attempt {}): {}",
+                    attempt + 1, raw);
+
+      try {
+         auto [username, bio] = ParseTwoLineResponsePublic(
+             raw, "LlamaGenerator: malformed user response");
+
+         username.erase(
+             std::remove_if(username.begin(), username.end(),
+                            [](unsigned char ch) { return std::isspace(ch); }),
+             username.end());
+
+         if (username.empty() || bio.empty()) {
+            throw std::runtime_error("LlamaGenerator: malformed user response");
+         }
+
+         if (bio.size() > 200) bio = bio.substr(0, 200);
+
+         return {username, bio};
+      } catch (const std::exception& e) {
+         spdlog::warn(
+             "LlamaGenerator: malformed user response (attempt {}): {}",
+             attempt + 1, e.what());
+      }
+   }
+
+   spdlog::error(
+       "LlamaGenerator: malformed user response after {} attempts: {}",
+       max_attempts, raw);
+   throw std::runtime_error("LlamaGenerator: malformed user response");
+}

pipeline/src/data_generation/llama/helpers.cpp

@@ -0,0 +1,398 @@
+#include <algorithm>
+#include <array>
+#include <boost/json.hpp>
+#include <cctype>
+#include <sstream>
+#include <stdexcept>
+#include <string>
+#include <vector>
+
+#include "data_generation/llama_generator.h"
+#include "llama.h"
+
+namespace {
+
+std::string Trim(std::string value) {
+   auto not_space = [](unsigned char ch) { return !std::isspace(ch); };
+
+   value.erase(value.begin(),
+               std::find_if(value.begin(), value.end(), not_space));
+   value.erase(std::find_if(value.rbegin(), value.rend(), not_space).base(),
+               value.end());
+
+   return value;
+}
+
+std::string CondenseWhitespace(std::string text) {
+   std::string out;
+   out.reserve(text.size());
+
+   bool in_whitespace = false;
+   for (unsigned char ch : text) {
+      if (std::isspace(ch)) {
+         if (!in_whitespace) {
+            out.push_back(' ');
+            in_whitespace = true;
+         }
+         continue;
+      }
+
+      in_whitespace = false;
+      out.push_back(static_cast<char>(ch));
+   }
+
+   return Trim(std::move(out));
+}
+
+std::string PrepareRegionContext(std::string_view region_context,
+                                 std::size_t max_chars) {
+   std::string normalized = CondenseWhitespace(std::string(region_context));
+   if (normalized.size() <= max_chars) {
+      return normalized;
+   }
+
+   normalized.resize(max_chars);
+   const std::size_t last_space = normalized.find_last_of(' ');
+   if (last_space != std::string::npos && last_space > max_chars / 2) {
+      normalized.resize(last_space);
+   }
+
+   normalized += "...";
+   return normalized;
+}
+
+std::string StripCommonPrefix(std::string line) {
+   line = Trim(std::move(line));
+
+   if (!line.empty() && (line[0] == '-' || line[0] == '*')) {
+      line = Trim(line.substr(1));
+   } else {
+      std::size_t i = 0;
+      while (i < line.size() &&
+             std::isdigit(static_cast<unsigned char>(line[i]))) {
+         ++i;
+      }
+      if (i > 0 && i < line.size() && (line[i] == '.' || line[i] == ')')) {
+         line = Trim(line.substr(i + 1));
+      }
+   }
+
+   auto strip_label = [&line](const std::string& label) {
+      if (line.size() >= label.size()) {
+         bool matches = true;
+         for (std::size_t i = 0; i < label.size(); ++i) {
+            if (std::tolower(static_cast<unsigned char>(line[i])) !=
+                std::tolower(static_cast<unsigned char>(label[i]))) {
+               matches = false;
+               break;
+            }
+         }
+         if (matches) {
+            line = Trim(line.substr(label.size()));
+         }
+      }
+   };
+
+   strip_label("name:");
+   strip_label("brewery name:");
+   strip_label("description:");
+   strip_label("username:");
+   strip_label("bio:");
+
+   return Trim(std::move(line));
+}
+
+std::pair<std::string, std::string> ParseTwoLineResponse(
+    const std::string& raw, const std::string& error_message) {
+   std::string normalized = raw;
+   std::replace(normalized.begin(), normalized.end(), '\r', '\n');
+
+   std::vector<std::string> lines;
+   std::stringstream stream(normalized);
+   std::string line;
+   while (std::getline(stream, line)) {
+      line = StripCommonPrefix(std::move(line));
+      if (!line.empty()) lines.push_back(std::move(line));
+   }
+
+   std::vector<std::string> filtered;
+   for (auto& l : lines) {
+      std::string low = l;
+      std::transform(low.begin(), low.end(), low.begin(), [](unsigned char c) {
+         return static_cast<char>(std::tolower(c));
+      });
+      if (!l.empty() && l.front() == '<' && low.back() == '>') continue;
+      if (low.rfind("okay,", 0) == 0 || low.rfind("hmm", 0) == 0) continue;
+      filtered.push_back(std::move(l));
+   }
+
+   if (filtered.size() < 2) throw std::runtime_error(error_message);
+
+   std::string first = Trim(filtered.front());
+   std::string second;
+   for (size_t i = 1; i < filtered.size(); ++i) {
+      if (!second.empty()) second += ' ';
+      second += filtered[i];
+   }
+   second = Trim(std::move(second));
+
+   if (first.empty() || second.empty()) throw std::runtime_error(error_message);
+   return {first, second};
+}
+
+std::string ToChatPrompt(const llama_model* model,
+                         const std::string& user_prompt) {
+   const char* tmpl = llama_model_chat_template(model, nullptr);
+   if (tmpl == nullptr) {
+      return user_prompt;
+   }
+
+   const llama_chat_message message{"user", user_prompt.c_str()};
+
+   std::vector<char> buffer(
+       std::max<std::size_t>(1024, user_prompt.size() * 4));
+   int32_t required =
+       llama_chat_apply_template(tmpl, &message, 1, true, buffer.data(),
+                                 static_cast<int32_t>(buffer.size()));
+
+   if (required < 0) {
+      throw std::runtime_error("LlamaGenerator: failed to apply chat template");
+   }
+
+   if (required >= static_cast<int32_t>(buffer.size())) {
+      buffer.resize(static_cast<std::size_t>(required) + 1);
+      required =
+          llama_chat_apply_template(tmpl, &message, 1, true, buffer.data(),
+                                    static_cast<int32_t>(buffer.size()));
+      if (required < 0) {
+         throw std::runtime_error(
+             "LlamaGenerator: failed to apply chat template");
+      }
+   }
+
+   return std::string(buffer.data(), static_cast<std::size_t>(required));
+}
+
+std::string ToChatPrompt(const llama_model* model,
+                         const std::string& system_prompt,
+                         const std::string& user_prompt) {
+   const char* tmpl = llama_model_chat_template(model, nullptr);
+   if (tmpl == nullptr) {
+      return system_prompt + "\n\n" + user_prompt;
+   }
+
+   const llama_chat_message messages[2] = {{"system", system_prompt.c_str()},
+                                           {"user", user_prompt.c_str()}};
+
+   std::vector<char> buffer(std::max<std::size_t>(
+       1024, (system_prompt.size() + user_prompt.size()) * 4));
+   int32_t required =
+       llama_chat_apply_template(tmpl, messages, 2, true, buffer.data(),
+                                 static_cast<int32_t>(buffer.size()));
+
+   if (required < 0) {
+      throw std::runtime_error("LlamaGenerator: failed to apply chat template");
+   }
+
+   if (required >= static_cast<int32_t>(buffer.size())) {
+      buffer.resize(static_cast<std::size_t>(required) + 1);
+      required =
+          llama_chat_apply_template(tmpl, messages, 2, true, buffer.data(),
+                                    static_cast<int32_t>(buffer.size()));
+      if (required < 0) {
+         throw std::runtime_error(
+             "LlamaGenerator: failed to apply chat template");
+      }
+   }
+
+   return std::string(buffer.data(), static_cast<std::size_t>(required));
+}
+
+void AppendTokenPiece(const llama_vocab* vocab, llama_token token,
+                      std::string& output) {
+   std::array<char, 256> buffer{};
+   int32_t bytes =
+       llama_token_to_piece(vocab, token, buffer.data(),
+                            static_cast<int32_t>(buffer.size()), 0, true);
+
+   if (bytes < 0) {
+      std::vector<char> dynamic_buffer(static_cast<std::size_t>(-bytes));
+      bytes = llama_token_to_piece(vocab, token, dynamic_buffer.data(),
+                                   static_cast<int32_t>(dynamic_buffer.size()),
+                                   0, true);
+      if (bytes < 0) {
+         throw std::runtime_error(
+             "LlamaGenerator: failed to decode sampled token piece");
+      }
+
+      output.append(dynamic_buffer.data(), static_cast<std::size_t>(bytes));
+      return;
+   }
+
+   output.append(buffer.data(), static_cast<std::size_t>(bytes));
+}
+
+bool ExtractFirstJsonObject(const std::string& text, std::string& json_out) {
+   std::size_t start = std::string::npos;
+   int depth = 0;
+   bool in_string = false;
+   bool escaped = false;
+
+   for (std::size_t i = 0; i < text.size(); ++i) {
+      const char ch = text[i];
+
+      if (in_string) {
+         if (escaped) {
+            escaped = false;
+         } else if (ch == '\\') {
+            escaped = true;
+         } else if (ch == '"') {
+            in_string = false;
+         }
+         continue;
+      }
+
+      if (ch == '"') {
+         in_string = true;
+         continue;
+      }
+
+      if (ch == '{') {
+         if (depth == 0) {
+            start = i;
+         }
+         ++depth;
+         continue;
+      }
+
+      if (ch == '}') {
+         if (depth == 0) {
+            continue;
+         }
+         --depth;
+         if (depth == 0 && start != std::string::npos) {
+            json_out = text.substr(start, i - start + 1);
+            return true;
+         }
+      }
+   }
+
+   return false;
+}
+
+std::string ValidateBreweryJson(const std::string& raw, std::string& name_out,
+                                std::string& description_out) {
+   auto validate_object = [&](const boost::json::value& jv,
+                              std::string& error_out) -> bool {
+      if (!jv.is_object()) {
+         error_out = "JSON root must be an object";
+         return false;
+      }
+
+      const auto& obj = jv.get_object();
+      if (!obj.contains("name") || !obj.at("name").is_string()) {
+         error_out = "JSON field 'name' is missing or not a string";
+         return false;
+      }
+
+      if (!obj.contains("description") || !obj.at("description").is_string()) {
+         error_out = "JSON field 'description' is missing or not a string";
+         return false;
+      }
+
+      name_out = Trim(std::string(obj.at("name").as_string().c_str()));
+      description_out =
+          Trim(std::string(obj.at("description").as_string().c_str()));
+
+      if (name_out.empty()) {
+         error_out = "JSON field 'name' must not be empty";
+         return false;
+      }
+
+      if (description_out.empty()) {
+         error_out = "JSON field 'description' must not be empty";
+         return false;
+      }
+
+      std::string name_lower = name_out;
+      std::string description_lower = description_out;
+      std::transform(
+          name_lower.begin(), name_lower.end(), name_lower.begin(),
+          [](unsigned char c) { return static_cast<char>(std::tolower(c)); });
+      std::transform(description_lower.begin(), description_lower.end(),
+                     description_lower.begin(), [](unsigned char c) {
+                        return static_cast<char>(std::tolower(c));
+                     });
+
+      if (name_lower == "string" || description_lower == "string") {
+         error_out = "JSON appears to be a schema placeholder, not content";
+         return false;
+      }
+
+      error_out.clear();
+      return true;
+   };
+
+   boost::system::error_code ec;
+   boost::json::value jv = boost::json::parse(raw, ec);
+   std::string validation_error;
+   if (ec) {
+      std::string extracted;
+      if (!ExtractFirstJsonObject(raw, extracted)) {
+         return "JSON parse error: " + ec.message();
+      }
+
+      ec.clear();
+      jv = boost::json::parse(extracted, ec);
+      if (ec) {
+         return "JSON parse error: " + ec.message();
+      }
+
+      if (!validate_object(jv, validation_error)) {
+         return validation_error;
+      }
+
+      return {};
+   }
+
+   if (!validate_object(jv, validation_error)) {
+      return validation_error;
+   }
+
+   return {};
+}
+
+}  // namespace
+
+// Forward declarations for helper functions exposed to other translation units
+std::string PrepareRegionContextPublic(std::string_view region_context,
+                                       std::size_t max_chars) {
+   return PrepareRegionContext(region_context, max_chars);
+}
+
+std::pair<std::string, std::string> ParseTwoLineResponsePublic(
+    const std::string& raw, const std::string& error_message) {
+   return ParseTwoLineResponse(raw, error_message);
+}
+
+std::string ToChatPromptPublic(const llama_model* model,
+                               const std::string& user_prompt) {
+   return ToChatPrompt(model, user_prompt);
+}
+
+std::string ToChatPromptPublic(const llama_model* model,
+                               const std::string& system_prompt,
+                               const std::string& user_prompt) {
+   return ToChatPrompt(model, system_prompt, user_prompt);
+}
+
+void AppendTokenPiecePublic(const llama_vocab* vocab, llama_token token,
+                            std::string& output) {
+   AppendTokenPiece(vocab, token, output);
+}
+
+std::string ValidateBreweryJsonPublic(const std::string& raw,
+                                      std::string& name_out,
+                                      std::string& description_out) {
+   return ValidateBreweryJson(raw, name_out, description_out);
+}

pipeline/src/data_generation/llama/infer.cpp

@@ -0,0 +1,111 @@
+#include <spdlog/spdlog.h>
+
+#include <algorithm>
+#include <memory>
+#include <stdexcept>
+#include <string>
+#include <vector>
+
+#include "data_generation/llama_generator.h"
+#include "data_generation/llama_generator_helpers.h"
+#include "llama.h"
+
+std::string LlamaGenerator::Infer(const std::string& prompt, int max_tokens) {
+   return InferFormatted(ToChatPromptPublic(model_, prompt), max_tokens);
+}
+
+std::string LlamaGenerator::Infer(const std::string& system_prompt,
+                                  const std::string& prompt, int max_tokens) {
+   return InferFormatted(ToChatPromptPublic(model_, system_prompt, prompt),
+                         max_tokens);
+}
+
+std::string LlamaGenerator::InferFormatted(const std::string& formatted_prompt,
+                                           int max_tokens) {
+   if (model_ == nullptr || context_ == nullptr)
+      throw std::runtime_error("LlamaGenerator: model not loaded");
+
+   const llama_vocab* vocab = llama_model_get_vocab(model_);
+   if (vocab == nullptr)
+      throw std::runtime_error("LlamaGenerator: vocab unavailable");
+
+   llama_memory_clear(llama_get_memory(context_), true);
+
+   std::vector<llama_token> prompt_tokens(formatted_prompt.size() + 8);
+   int32_t token_count = llama_tokenize(
+       vocab, formatted_prompt.c_str(),
+       static_cast<int32_t>(formatted_prompt.size()), prompt_tokens.data(),
+       static_cast<int32_t>(prompt_tokens.size()), true, true);
+
+   if (token_count < 0) {
+      prompt_tokens.resize(static_cast<std::size_t>(-token_count));
+      token_count = llama_tokenize(
+          vocab, formatted_prompt.c_str(),
+          static_cast<int32_t>(formatted_prompt.size()), prompt_tokens.data(),
+          static_cast<int32_t>(prompt_tokens.size()), true, true);
+   }
+
+   if (token_count < 0)
+      throw std::runtime_error("LlamaGenerator: prompt tokenization failed");
+
+   const int32_t n_ctx = static_cast<int32_t>(llama_n_ctx(context_));
+   const int32_t n_batch = static_cast<int32_t>(llama_n_batch(context_));
+   if (n_ctx <= 1 || n_batch <= 0)
+      throw std::runtime_error("LlamaGenerator: invalid context or batch size");
+
+   const int32_t effective_max_tokens =
+       std::max(1, std::min(max_tokens, n_ctx - 1));
+   int32_t prompt_budget = std::min(n_batch, n_ctx - effective_max_tokens);
+   prompt_budget = std::max<int32_t>(1, prompt_budget);
+
+   prompt_tokens.resize(static_cast<std::size_t>(token_count));
+   if (token_count > prompt_budget) {
+      spdlog::warn(
+          "LlamaGenerator: prompt too long ({} tokens), truncating to {} "
+          "tokens to fit n_batch/n_ctx limits",
+          token_count, prompt_budget);
+      prompt_tokens.resize(static_cast<std::size_t>(prompt_budget));
+      token_count = prompt_budget;
+   }
+
+   const llama_batch prompt_batch = llama_batch_get_one(
+       prompt_tokens.data(), static_cast<int32_t>(prompt_tokens.size()));
+   if (llama_decode(context_, prompt_batch) != 0)
+      throw std::runtime_error("LlamaGenerator: prompt decode failed");
+
+   llama_sampler_chain_params sampler_params =
+       llama_sampler_chain_default_params();
+   using SamplerPtr =
+       std::unique_ptr<llama_sampler, decltype(&llama_sampler_free)>;
+   SamplerPtr sampler(llama_sampler_chain_init(sampler_params),
+                      &llama_sampler_free);
+   if (!sampler)
+      throw std::runtime_error("LlamaGenerator: failed to initialize sampler");
+
+   llama_sampler_chain_add(sampler.get(),
+                           llama_sampler_init_temp(sampling_temperature_));
+   llama_sampler_chain_add(sampler.get(),
+                           llama_sampler_init_top_p(sampling_top_p_, 1));
+   llama_sampler_chain_add(sampler.get(),
+                           llama_sampler_init_dist(sampling_seed_));
+
+   std::vector<llama_token> generated_tokens;
+   generated_tokens.reserve(static_cast<std::size_t>(effective_max_tokens));
+
+   for (int i = 0; i < effective_max_tokens; ++i) {
+      const llama_token next =
+          llama_sampler_sample(sampler.get(), context_, -1);
+      if (llama_vocab_is_eog(vocab, next)) break;
+      generated_tokens.push_back(next);
+      llama_token token = next;
+      const llama_batch one_token_batch = llama_batch_get_one(&token, 1);
+      if (llama_decode(context_, one_token_batch) != 0)
+         throw std::runtime_error(
+             "LlamaGenerator: decode failed during generation");
+   }
+
+   std::string output;
+   for (const llama_token token : generated_tokens)
+      AppendTokenPiecePublic(vocab, token, output);
+   return output;
+}

pipeline/src/data_generation/llama/load.cpp

@@ -0,0 +1,42 @@
+#include <spdlog/spdlog.h>
+
+#include <stdexcept>
+#include <string>
+
+#include "data_generation/llama_generator.h"
+#include "llama.h"
+
+void LlamaGenerator::Load(const std::string& model_path) {
+   if (model_path.empty())
+      throw std::runtime_error("LlamaGenerator: model path must not be empty");
+
+   if (context_ != nullptr) {
+      llama_free(context_);
+      context_ = nullptr;
+   }
+   if (model_ != nullptr) {
+      llama_model_free(model_);
+      model_ = nullptr;
+   }
+
+   llama_backend_init();
+
+   llama_model_params model_params = llama_model_default_params();
+   model_ = llama_model_load_from_file(model_path.c_str(), model_params);
+   if (model_ == nullptr) {
+      throw std::runtime_error(
+          "LlamaGenerator: failed to load model from path: " + model_path);
+   }
+
+   llama_context_params context_params = llama_context_default_params();
+   context_params.n_ctx = 2048;
+
+   context_ = llama_init_from_model(model_, context_params);
+   if (context_ == nullptr) {
+      llama_model_free(model_);
+      model_ = nullptr;
+      throw std::runtime_error("LlamaGenerator: failed to create context");
+   }
+
+   spdlog::info("[LlamaGenerator] Loaded model: {}", model_path);
+}

pipeline/src/data_generation/llama/set_sampling_options.cpp

@@ -0,0 +1,25 @@
+#include <stdexcept>
+
+#include "data_generation/llama_generator.h"
+#include "llama.h"
+
+void LlamaGenerator::SetSamplingOptions(float temperature, float top_p,
+                                        int seed) {
+   if (temperature < 0.0f) {
+      throw std::runtime_error(
+          "LlamaGenerator: sampling temperature must be >= 0");
+   }
+   if (!(top_p > 0.0f && top_p <= 1.0f)) {
+      throw std::runtime_error(
+          "LlamaGenerator: sampling top-p must be in (0, 1]");
+   }
+   if (seed < -1) {
+      throw std::runtime_error(
+          "LlamaGenerator: seed must be >= 0, or -1 for random");
+   }
+
+   sampling_temperature_ = temperature;
+   sampling_top_p_ = top_p;
+   sampling_seed_ = (seed < 0) ? static_cast<uint32_t>(LLAMA_DEFAULT_SEED)
+                               : static_cast<uint32_t>(seed);
+}

pipeline/src/data_generation/llama_generator.cpp

@@ -1,734 +0,0 @@
-#include <algorithm>
-#include <array>
-#include <cctype>
-#include <memory>
-#include <sstream>
-#include <stdexcept>
-#include <string>
-#include <vector>
-
-#include "llama.h"
-#include <boost/json.hpp>
-#include <spdlog/spdlog.h>
-
-#include "data_generation/llama_generator.h"
-
-namespace {
-
-std::string trim(std::string value) {
-  auto notSpace = [](unsigned char ch) { return !std::isspace(ch); };
-
-  value.erase(value.begin(),
-              std::find_if(value.begin(), value.end(), notSpace));
-  value.erase(std::find_if(value.rbegin(), value.rend(), notSpace).base(),
-              value.end());
-
-  return value;
-}
-
-std::string CondenseWhitespace(std::string text) {
-  std::string out;
-  out.reserve(text.size());
-
-  bool inWhitespace = false;
-  for (unsigned char ch : text) {
-    if (std::isspace(ch)) {
-      if (!inWhitespace) {
-        out.push_back(' ');
-        inWhitespace = true;
-      }
-      continue;
-    }
-
-    inWhitespace = false;
-    out.push_back(static_cast<char>(ch));
-  }
-
-  return trim(std::move(out));
-}
-
-std::string PrepareRegionContext(std::string_view regionContext,
-                                 std::size_t maxChars = 700) {
-  std::string normalized = CondenseWhitespace(std::string(regionContext));
-  if (normalized.size() <= maxChars) {
-    return normalized;
-  }
-
-  normalized.resize(maxChars);
-  const std::size_t lastSpace = normalized.find_last_of(' ');
-  if (lastSpace != std::string::npos && lastSpace > maxChars / 2) {
-    normalized.resize(lastSpace);
-  }
-
-  normalized += "...";
-  return normalized;
-}
-
-std::string stripCommonPrefix(std::string line) {
-  line = trim(std::move(line));
-
-  if (!line.empty() && (line[0] == '-' || line[0] == '*')) {
-    line = trim(line.substr(1));
-  } else {
-    std::size_t i = 0;
-    while (i < line.size() &&
-           std::isdigit(static_cast<unsigned char>(line[i]))) {
-      ++i;
-    }
-    if (i > 0 && i < line.size() && (line[i] == '.' || line[i] == ')')) {
-      line = trim(line.substr(i + 1));
-    }
-  }
-
-  auto stripLabel = [&line](const std::string &label) {
-    if (line.size() >= label.size()) {
-      bool matches = true;
-      for (std::size_t i = 0; i < label.size(); ++i) {
-        if (std::tolower(static_cast<unsigned char>(line[i])) !=
-            std::tolower(static_cast<unsigned char>(label[i]))) {
-          matches = false;
-          break;
-        }
-      }
-      if (matches) {
-        line = trim(line.substr(label.size()));
-      }
-    }
-  };
-
-  stripLabel("name:");
-  stripLabel("brewery name:");
-  stripLabel("description:");
-  stripLabel("username:");
-  stripLabel("bio:");
-
-  return trim(std::move(line));
-}
-
-std::pair<std::string, std::string>
-parseTwoLineResponse(const std::string &raw, const std::string &errorMessage) {
-  std::string normalized = raw;
-  std::replace(normalized.begin(), normalized.end(), '\r', '\n');
-
-  std::vector<std::string> lines;
-  std::stringstream stream(normalized);
-  std::string line;
-  while (std::getline(stream, line)) {
-    line = stripCommonPrefix(std::move(line));
-    if (!line.empty())
-      lines.push_back(std::move(line));
-  }
-
-  std::vector<std::string> filtered;
-  for (auto &l : lines) {
-    std::string low = l;
-    std::transform(low.begin(), low.end(), low.begin(), [](unsigned char c) {
-      return static_cast<char>(std::tolower(c));
-    });
-    if (!l.empty() && l.front() == '<' && low.back() == '>')
-      continue;
-    if (low.rfind("okay,", 0) == 0 || low.rfind("hmm", 0) == 0)
-      continue;
-    filtered.push_back(std::move(l));
-  }
-
-  if (filtered.size() < 2)
-    throw std::runtime_error(errorMessage);
-
-  std::string first = trim(filtered.front());
-  std::string second;
-  for (size_t i = 1; i < filtered.size(); ++i) {
-    if (!second.empty())
-      second += ' ';
-    second += filtered[i];
-  }
-  second = trim(std::move(second));
-
-  if (first.empty() || second.empty())
-    throw std::runtime_error(errorMessage);
-  return {first, second};
-}
-
-std::string toChatPrompt(const llama_model *model,
-                         const std::string &userPrompt) {
-  const char *tmpl = llama_model_chat_template(model, nullptr);
-  if (tmpl == nullptr) {
-    return userPrompt;
-  }
-
-  const llama_chat_message message{"user", userPrompt.c_str()};
-
-  std::vector<char> buffer(std::max<std::size_t>(1024, userPrompt.size() * 4));
-  int32_t required =
-      llama_chat_apply_template(tmpl, &message, 1, true, buffer.data(),
-                                static_cast<int32_t>(buffer.size()));
-
-  if (required < 0) {
-    throw std::runtime_error("LlamaGenerator: failed to apply chat template");
-  }
-
-  if (required >= static_cast<int32_t>(buffer.size())) {
-    buffer.resize(static_cast<std::size_t>(required) + 1);
-    required = llama_chat_apply_template(tmpl, &message, 1, true, buffer.data(),
-                                         static_cast<int32_t>(buffer.size()));
-    if (required < 0) {
-      throw std::runtime_error("LlamaGenerator: failed to apply chat template");
-    }
-  }
-
-  return std::string(buffer.data(), static_cast<std::size_t>(required));
-}
-
-std::string toChatPrompt(const llama_model *model,
-                         const std::string &system_prompt,
-                         const std::string &userPrompt) {
-  const char *tmpl = llama_model_chat_template(model, nullptr);
-  if (tmpl == nullptr) {
-    return system_prompt + "\n\n" + userPrompt;
-  }
-
-  const llama_chat_message messages[2] = {{"system", system_prompt.c_str()},
-                                          {"user", userPrompt.c_str()}};
-
-  std::vector<char> buffer(std::max<std::size_t>(
-      1024, (systemPrompt.size() + userPrompt.size()) * 4));
-  int32_t required =
-      llama_chat_apply_template(tmpl, messages, 2, true, buffer.data(),
-                                static_cast<int32_t>(buffer.size()));
-
-  if (required < 0) {
-    throw std::runtime_error("LlamaGenerator: failed to apply chat template");
-  }
-
-  if (required >= static_cast<int32_t>(buffer.size())) {
-    buffer.resize(static_cast<std::size_t>(required) + 1);
-    required = llama_chat_apply_template(tmpl, messages, 2, true, buffer.data(),
-                                         static_cast<int32_t>(buffer.size()));
-    if (required < 0) {
-      throw std::runtime_error("LlamaGenerator: failed to apply chat template");
-    }
-  }
-
-  return std::string(buffer.data(), static_cast<std::size_t>(required));
-}
-
-void appendTokenPiece(const llama_vocab *vocab, llama_token token,
-                      std::string &output) {
-  std::array<char, 256> buffer{};
-  int32_t bytes =
-      llama_token_to_piece(vocab, token, buffer.data(),
-                           static_cast<int32_t>(buffer.size()), 0, true);
-
-  if (bytes < 0) {
-    std::vector<char> dynamicBuffer(static_cast<std::size_t>(-bytes));
-    bytes = llama_token_to_piece(vocab, token, dynamicBuffer.data(),
-                                 static_cast<int32_t>(dynamicBuffer.size()), 0,
-                                 true);
-    if (bytes < 0) {
-      throw std::runtime_error(
-          "LlamaGenerator: failed to decode sampled token piece");
-    }
-
-    output.append(dynamicBuffer.data(), static_cast<std::size_t>(bytes));
-    return;
-  }
-
-  output.append(buffer.data(), static_cast<std::size_t>(bytes));
-}
-
-bool extractFirstJsonObject(const std::string &text, std::string &jsonOut) {
-  std::size_t start = std::string::npos;
-  int depth = 0;
-  bool inString = false;
-  bool escaped = false;
-
-  for (std::size_t i = 0; i < text.size(); ++i) {
-    const char ch = text[i];
-
-    if (inString) {
-      if (escaped) {
-        escaped = false;
-      } else if (ch == '\\') {
-        escaped = true;
-      } else if (ch == '"') {
-        inString = false;
-      }
-      continue;
-    }
-
-    if (ch == '"') {
-      inString = true;
-      continue;
-    }
-
-    if (ch == '{') {
-      if (depth == 0) {
-        start = i;
-      }
-      ++depth;
-      continue;
-    }
-
-    if (ch == '}') {
-      if (depth == 0) {
-        continue;
-      }
-      --depth;
-      if (depth == 0 && start != std::string::npos) {
-        jsonOut = text.substr(start, i - start + 1);
-        return true;
-      }
-    }
-  }
-
-  return false;
-}
-
-std::string ValidateBreweryJson(const std::string &raw, std::string &nameOut,
-                                std::string &descriptionOut) {
-  auto validateObject = [&](const boost::json::value &jv,
-                            std::string &errorOut) -> bool {
-    if (!jv.is_object()) {
-      errorOut = "JSON root must be an object";
-      return false;
-    }
-
-    const auto &obj = jv.get_object();
-    if (!obj.contains("name") || !obj.at("name").is_string()) {
-      errorOut = "JSON field 'name' is missing or not a string";
-      return false;
-    }
-
-    if (!obj.contains("description") || !obj.at("description").is_string()) {
-      errorOut = "JSON field 'description' is missing or not a string";
-      return false;
-    }
-
-    nameOut = trim(std::string(obj.at("name").as_string().c_str()));
-    descriptionOut =
-        trim(std::string(obj.at("description").as_string().c_str()));
-
-    if (nameOut.empty()) {
-      errorOut = "JSON field 'name' must not be empty";
-      return false;
-    }
-
-    if (descriptionOut.empty()) {
-      errorOut = "JSON field 'description' must not be empty";
-      return false;
-    }
-
-    std::string nameLower = nameOut;
-    std::string descriptionLower = descriptionOut;
-    std::transform(
-        nameLower.begin(), nameLower.end(), nameLower.begin(),
-        [](unsigned char c) { return static_cast<char>(std::tolower(c)); });
-    std::transform(descriptionLower.begin(), descriptionLower.end(),
-                   descriptionLower.begin(), [](unsigned char c) {
-                     return static_cast<char>(std::tolower(c));
-                   });
-
-    if (nameLower == "string" || descriptionLower == "string") {
-      errorOut = "JSON appears to be a schema placeholder, not content";
-      return false;
-    }
-
-    errorOut.clear();
-    return true;
-  };
-
-  boost::system::error_code ec;
-  boost::json::value jv = boost::json::parse(raw, ec);
-  std::string validationError;
-  if (ec) {
-    std::string extracted;
-    if (!extractFirstJsonObject(raw, extracted)) {
-      return "JSON parse error: " + ec.message();
-    }
-
-    ec.clear();
-    jv = boost::json::parse(extracted, ec);
-    if (ec) {
-      return "JSON parse error: " + ec.message();
-    }
-
-    if (!validateObject(jv, validationError)) {
-      return validationError;
-    }
-
-    return {};
-  }
-
-  if (!validateObject(jv, validationError)) {
-    return validationError;
-  }
-
-  return {};
-}
-} // namespace
-
-LlamaGenerator::~LlamaGenerator() {
-  if (context_ != nullptr) {
-    llama_free(context_);
-    context_ = nullptr;
-  }
-
-  if (model_ != nullptr) {
-    llama_model_free(model_);
-    model_ = nullptr;
-  }
-
-  llama_backend_free();
-}
-
-void LlamaGenerator::SetSamplingOptions(float temperature, float top_p,
-                                        int seed) {
-  if (temperature < 0.0f) {
-    throw std::runtime_error(
-        "LlamaGenerator: sampling temperature must be >= 0");
-  }
-  if (!(top_p > 0.0f && top_p <= 1.0f)) {
-    throw std::runtime_error(
-        "LlamaGenerator: sampling top-p must be in (0, 1]");
-  }
-  if (seed < -1) {
-    throw std::runtime_error(
-        "LlamaGenerator: seed must be >= 0, or -1 for random");
-  }
-
-  sampling_temperature_ = temperature;
-  sampling_top_p_ = top_p;
-  sampling_seed_ = (seed < 0) ? static_cast<uint32_t>(LLAMA_DEFAULT_SEED)
-                              : static_cast<uint32_t>(seed);
-}
-
-void LlamaGenerator::Load(const std::string &model_path) {
-  if (model_path.empty())
-    throw std::runtime_error("LlamaGenerator: model path must not be empty");
-
-  if (context_ != nullptr) {
-    llama_free(context_);
-    context_ = nullptr;
-  }
-  if (model_ != nullptr) {
-    llama_model_free(model_);
-    model_ = nullptr;
-  }
-
-  llama_backend_init();
-
-  llama_model_params model_params = llama_model_default_params();
-  model_ = llama_model_load_from_file(model_path.c_str(), model_params);
-  if (model_ == nullptr) {
-    throw std::runtime_error(
-        "LlamaGenerator: failed to load model from path: " + model_path);
-  }
-
-  llama_context_params context_params = llama_context_default_params();
-  context_params.n_ctx = 2048;
-
-  context_ = llama_init_from_model(model_, context_params);
-  if (context_ == nullptr) {
-    llama_model_free(model_);
-    model_ = nullptr;
-    throw std::runtime_error("LlamaGenerator: failed to create context");
-  }
-
-  spdlog::info("[LlamaGenerator] Loaded model: {}", model_path);
-}
-
-std::string LlamaGenerator::Infer(const std::string &prompt, int max_tokens) {
-  if (model_ == nullptr || context_ == nullptr)
-    throw std::runtime_error("LlamaGenerator: model not loaded");
-
-  const llama_vocab *vocab = llama_model_get_vocab(model_);
-  if (vocab == nullptr)
-    throw std::runtime_error("LlamaGenerator: vocab unavailable");
-
-  llama_memory_clear(llama_get_memory(context_), true);
-
-  const std::string formatted_prompt = toChatPrompt(model_, prompt);
-
-  std::vector<llama_token> promptTokens(formatted_prompt.size() + 8);
-  int32_t tokenCount = llama_tokenize(
-      vocab, formatted_prompt.c_str(),
-      static_cast<int32_t>(formatted_prompt.size()), promptTokens.data(),
-      static_cast<int32_t>(promptTokens.size()), true, true);
-
-  if (tokenCount < 0) {
-    promptTokens.resize(static_cast<std::size_t>(-tokenCount));
-    tokenCount = llama_tokenize(
-        vocab, formatted_prompt.c_str(),
-        static_cast<int32_t>(formatted_prompt.size()), promptTokens.data(),
-        static_cast<int32_t>(promptTokens.size()), true, true);
-  }
-
-  if (tokenCount < 0)
-    throw std::runtime_error("LlamaGenerator: prompt tokenization failed");
-
-  const int32_t nCtx = static_cast<int32_t>(llama_n_ctx(context_));
-  const int32_t nBatch = static_cast<int32_t>(llama_n_batch(context_));
-  if (nCtx <= 1 || nBatch <= 0) {
-    throw std::runtime_error("LlamaGenerator: invalid context or batch size");
-  }
-
-  const int32_t effective_max_tokens = std::max(1, std::min(max_tokens, nCtx - 1));
-  const int32_t prompt_budget = std::min(nBatch, nCtx - effective_max_tokens);
-  prompt_budget = std::max<int32_t>(1, prompt_budget);
-
-  promptTokens.resize(static_cast<std::size_t>(tokenCount));
-  if (tokenCount > prompt_budget) {
-    spdlog::warn(
-        "LlamaGenerator: prompt too long ({} tokens), truncating to {} tokens "
-        "to fit n_batch/n_ctx limits",
-        tokenCount, prompt_budget);
-    promptTokens.resize(static_cast<std::size_t>(prompt_budget));
-    tokenCount = prompt_budget;
-  }
-
-  const llama_batch promptBatch = llama_batch_get_one(
-      promptTokens.data(), static_cast<int32_t>(promptTokens.size()));
-  if (llama_decode(context_, promptBatch) != 0)
-    throw std::runtime_error("LlamaGenerator: prompt decode failed");
-
-  llama_sampler_chain_params sampler_params =
-      llama_sampler_chain_default_params();
-  using SamplerPtr =
-      std::unique_ptr<llama_sampler, decltype(&llama_sampler_free)>;
-  SamplerPtr sampler(llama_sampler_chain_init(sampler_params),
-                     &llama_sampler_free);
-  if (!sampler)
-    throw std::runtime_error("LlamaGenerator: failed to initialize sampler");
-
-  llama_sampler_chain_add(sampler.get(),
-                          llama_sampler_init_temp(sampling_temperature_));
-  llama_sampler_chain_add(sampler.get(),
-                          llama_sampler_init_top_p(sampling_top_p_, 1));
-  llama_sampler_chain_add(sampler.get(),
-                          llama_sampler_init_dist(sampling_seed_));
-
-  std::vector<llama_token> generated_tokens;
-  generated_tokens.reserve(static_cast<std::size_t>(max_tokens));
-
-  for (int i = 0; i < effective_max_tokens; ++i) {
-    const llama_token next = llama_sampler_sample(sampler.get(), context_, -1);
-    if (llama_vocab_is_eog(vocab, next))
-      break;
-    generated_tokens.push_back(next);
-    llama_token token = next;
-    const llama_batch one_token_batch = llama_batch_get_one(&token, 1);
-    if (llama_decode(context_, one_token_batch) != 0)
-      throw std::runtime_error(
-          "LlamaGenerator: decode failed during generation");
-  }
-
-  std::string output;
-  for (const llama_token token : generated_tokens)
-    appendTokenPiece(vocab, token, output);
-  return output;
-}
-
-std::string LlamaGenerator::Infer(const std::string &system_prompt,
-                                  const std::string &prompt, int max_tokens) {
-  if (model_ == nullptr || context_ == nullptr)
-    throw std::runtime_error("LlamaGenerator: model not loaded");
-
-  const llama_vocab *vocab = llama_model_get_vocab(model_);
-  if (vocab == nullptr)
-    throw std::runtime_error("LlamaGenerator: vocab unavailable");
-
-  llama_memory_clear(llama_get_memory(context_), true);
-
-  const std::string formatted_prompt =
-      toChatPrompt(model_, system_prompt, prompt);
-
-  std::vector<llama_token> promptTokens(formatted_prompt.size() + 8);
-  int32_t tokenCount = llama_tokenize(
-      vocab, formatted_prompt.c_str(),
-      static_cast<int32_t>(formatted_prompt.size()), promptTokens.data(),
-      static_cast<int32_t>(promptTokens.size()), true, true);
-
-  if (tokenCount < 0) {
-    promptTokens.resize(static_cast<std::size_t>(-tokenCount));
-    tokenCount = llama_tokenize(
-        vocab, formatted_prompt.c_str(),
-        static_cast<int32_t>(formatted_prompt.size()), promptTokens.data(),
-        static_cast<int32_t>(promptTokens.size()), true, true);
-  }
-
-  if (tokenCount < 0)
-    throw std::runtime_error("LlamaGenerator: prompt tokenization failed");
-
-  const int32_t nCtx = static_cast<int32_t>(llama_n_ctx(context_));
-  const int32_t nBatch = static_cast<int32_t>(llama_n_batch(context_));
-  if (nCtx <= 1 || nBatch <= 0) {
-    throw std::runtime_error("LlamaGenerator: invalid context or batch size");
-  }
-
-  const int32_t effective_max_tokens = std::max(1, std::min(max_tokens, nCtx - 1));
-  int32_t prompt_budget = std::min(nBatch, nCtx - effective_max_tokens);
-  prompt_budget = std::max<int32_t>(1, prompt_budget);
-
-  promptTokens.resize(static_cast<std::size_t>(tokenCount));
-  if (tokenCount > prompt_budget) {
-    spdlog::warn(
-        "LlamaGenerator: prompt too long ({} tokens), truncating to {} tokens "
-        "to fit n_batch/n_ctx limits",
-        tokenCount, prompt_budget);
-    promptTokens.resize(static_cast<std::size_t>(prompt_budget));
-    tokenCount = prompt_budget;
-  }
-
-  const llama_batch promptBatch = llama_batch_get_one(
-      promptTokens.data(), static_cast<int32_t>(promptTokens.size()));
-  if (llama_decode(context_, promptBatch) != 0)
-    throw std::runtime_error("LlamaGenerator: prompt decode failed");
-
-  llama_sampler_chain_params sampler_params =
-      llama_sampler_chain_default_params();
-  using SamplerPtr =
-      std::unique_ptr<llama_sampler, decltype(&llama_sampler_free)>;
-  SamplerPtr sampler(llama_sampler_chain_init(sampler_params),
-                     &llama_sampler_free);
-  if (!sampler)
-    throw std::runtime_error("LlamaGenerator: failed to initialize sampler");
-
-  llama_sampler_chain_add(sampler.get(),
-                          llama_sampler_init_temp(sampling_temperature_));
-  llama_sampler_chain_add(sampler.get(),
-                          llama_sampler_init_top_p(sampling_top_p_, 1));
-  llama_sampler_chain_add(sampler.get(),
-                          llama_sampler_init_dist(sampling_seed_));
-
-  std::vector<llama_token> generated_tokens;
-  generated_tokens.reserve(static_cast<std::size_t>(max_tokens));
-
-  for (int i = 0; i < effective_max_tokens; ++i) {
-    const llama_token next = llama_sampler_sample(sampler.get(), context_, -1);
-    if (llama_vocab_is_eog(vocab, next))
-      break;
-    generated_tokens.push_back(next);
-    llama_token token = next;
-    const llama_batch one_token_batch = llama_batch_get_one(&token, 1);
-    if (llama_decode(context_, one_token_batch) != 0)
-      throw std::runtime_error(
-          "LlamaGenerator: decode failed during generation");
-  }
-
-  std::string output;
-  for (const llama_token token : generated_tokens)
-    appendTokenPiece(vocab, token, output);
-  return output;
-}
-
-BreweryResult
-LlamaGenerator::GenerateBrewery(const std::string &city_name,
-                                const std::string &country_name,
-                                const std::string &region_context) {
-  const std::string safe_region_context = PrepareRegionContext(region_context);
-
-  const std::string system_prompt =
-      "You are a copywriter for a craft beer travel guide. "
-      "Your writing is vivid, specific to place, and avoids generic beer "
-      "cliches. "
-      "You must output ONLY valid JSON. "
-      "The JSON schema must be exactly: {\"name\": \"string\", "
-      "\"description\": \"string\"}. "
-      "Do not include markdown formatting or backticks.";
-
-  std::string prompt =
-      "Write a brewery name and place-specific description for a craft "
-      "brewery in " +
-      city_name +
-      (country_name.empty() ? std::string("")
-                           : std::string(", ") + country_name) +
-      (safe_region_context.empty()
-           ? std::string(".")
-           : std::string(". Regional context: ") + safe_region_context);
-
-  const int maxAttempts = 3;
-  std::string raw;
-  std::string lastError;
-  for (int attempt = 0; attempt < maxAttempts; ++attempt) {
-    raw = Infer(system_prompt, prompt, 384);
-    spdlog::debug("LlamaGenerator: raw output (attempt {}): {}", attempt + 1,
-                  raw);
-
-    std::string name;
-    std::string description;
-    const std::string validationError =
-        ValidateBreweryJson(raw, name, description);
-    if (validationError.empty()) {
-      return {std::move(name), std::move(description)};
-    }
-
-    lastError = validationError;
-    spdlog::warn("LlamaGenerator: malformed brewery JSON (attempt {}): {}",
-                 attempt + 1, validationError);
-
-    prompt = "Your previous response was invalid. Error: " + validationError +
-             "\nReturn ONLY valid JSON with this exact schema: "
-             "{\"name\": \"string\", \"description\": \"string\"}."
-             "\nDo not include markdown, comments, or extra keys."
-             "\n\nLocation: " +
-             city_name +
-             (country_name.empty() ? std::string("")
-                                  : std::string(", ") + country_name) +
-             (safe_region_context.empty()
-                  ? std::string("")
-                  : std::string("\nRegional context: ") + safe_region_context);
-  }
-
-  spdlog::error("LlamaGenerator: malformed brewery response after {} attempts: "
-                "{}",
-                maxAttempts, lastError.empty() ? raw : lastError);
-  throw std::runtime_error("LlamaGenerator: malformed brewery response");
-}
-
-UserResult LlamaGenerator::GenerateUser(const std::string &locale) {
-  const std::string system_prompt =
-      "You generate plausible social media profiles for craft beer "
-      "enthusiasts. "
-      "Respond with exactly two lines: "
-      "the first line is a username (lowercase, no spaces, 8-20 characters), "
-      "the second line is a one-sentence bio (20-40 words). "
-      "The profile should feel consistent with the locale. "
-      "No preamble, no labels.";
-
-  std::string prompt =
-      "Generate a craft beer enthusiast profile. Locale: " + locale;
-
-  const int maxAttempts = 3;
-  std::string raw;
-  for (int attempt = 0; attempt < maxAttempts; ++attempt) {
-    raw = Infer(system_prompt, prompt, 128);
-    spdlog::debug("LlamaGenerator (user): raw output (attempt {}): {}",
-                  attempt + 1, raw);
-
-    try {
-      auto [username, bio] =
-          parseTwoLineResponse(raw, "LlamaGenerator: malformed user response");
-
-      username.erase(
-          std::remove_if(username.begin(), username.end(),
-                         [](unsigned char ch) { return std::isspace(ch); }),
-          username.end());
-
-      if (username.empty() || bio.empty()) {
-        throw std::runtime_error("LlamaGenerator: malformed user response");
-      }
-
-      if (bio.size() > 200)
-        bio = bio.substr(0, 200);
-
-      return {username, bio};
-    } catch (const std::exception &e) {
-      spdlog::warn("LlamaGenerator: malformed user response (attempt {}): {}",
-                   attempt + 1, e.what());
-    }
-  }
-
-  spdlog::error("LlamaGenerator: malformed user response after {} attempts: {}",
-                maxAttempts, raw);
-  throw std::runtime_error("LlamaGenerator: malformed user response");
-}

pipeline/src/data_generation/mock/data.cpp

@@ -1,7 +1,7 @@
-#include "data_generation/mock_generator.h"
+#include <string>
+#include <vector>
 
-#include <functional>
-#include <spdlog/spdlog.h>
+#include "data_generation/mock_generator.h"
 
 const std::vector<std::string> MockGenerator::kBreweryAdjectives = {
     "Craft",      "Heritage", "Local",  "Artisan",  "Pioneer",    "Golden",
@@ -63,42 +63,3 @@ const std::vector<std::string> MockGenerator::kBios = {
     "Craft beer fan mapping tasting notes and favorite brew routes.",
     "Always ready to trade recommendations for underrated local breweries.",
     "Keeping a running list of must-try collab releases and tap takeovers."};
-
-void MockGenerator::Load(const std::string & /*modelPath*/) {
-  spdlog::info("[MockGenerator] No model needed");
-}
-
-std::size_t MockGenerator::DeterministicHash(const std::string &a,
-                                             const std::string &b) {
-  std::size_t seed = std::hash<std::string>{}(a);
-  const std::size_t mixed = std::hash<std::string>{}(b);
-  seed ^= mixed + 0x9e3779b97f4a7c15ULL + (seed << 6) + (seed >> 2);
-  seed = (seed << 13) | (seed >> ((sizeof(std::size_t) * 8) - 13));
-  return seed;
-}
-
-BreweryResult MockGenerator::GenerateBrewery(const std::string &city_name,
-                                             const std::string &country_name,
-                                             const std::string &region_context) {
-  const std::string location_key =
-      country_name.empty() ? city_name : city_name + "," + country_name;
-  const std::size_t hash = region_context.empty()
-                               ? std::hash<std::string>{}(location_key)
-                               : DeterministicHash(location_key, region_context);
-
-  BreweryResult result;
-  result.name = kBreweryAdjectives[hash % kBreweryAdjectives.size()] + " " +
-                kBreweryNouns[(hash / 7) % kBreweryNouns.size()];
-  result.description =
-      kBreweryDescriptions[(hash / 13) % kBreweryDescriptions.size()];
-  return result;
-}
-
-UserResult MockGenerator::GenerateUser(const std::string &locale) {
-  const std::size_t hash = std::hash<std::string>{}(locale);
-
-  UserResult result;
-  result.username = kUsernames[hash % kUsernames.size()];
-  result.bio = kBios[(hash / 11) % kBios.size()];
-  return result;
-}

pipeline/src/data_generation/mock/deterministic_hash.cpp

@@ -0,0 +1,12 @@
+#include <string>
+
+#include "data_generation/mock_generator.h"
+
+std::size_t MockGenerator::DeterministicHash(const std::string& a,
+                                             const std::string& b) {
+   std::size_t seed = std::hash<std::string>{}(a);
+   const std::size_t mixed = std::hash<std::string>{}(b);
+   seed ^= mixed + 0x9e3779b97f4a7c15ULL + (seed << 6) + (seed >> 2);
+   seed = (seed << 13) | (seed >> ((sizeof(std::size_t) * 8) - 13));
+   return seed;
+}

pipeline/src/data_generation/mock/generate_brewery.cpp

@@ -0,0 +1,21 @@
+#include <functional>
+#include <string>
+
+#include "data_generation/mock_generator.h"
+
+BreweryResult MockGenerator::GenerateBrewery(
+    const std::string& city_name, const std::string& country_name,
+    const std::string& region_context) {
+   const std::string location_key =
+       country_name.empty() ? city_name : city_name + "," + country_name;
+   const std::size_t hash =
+       region_context.empty() ? std::hash<std::string>{}(location_key)
+                              : DeterministicHash(location_key, region_context);
+
+   BreweryResult result;
+   result.name = kBreweryAdjectives[hash % kBreweryAdjectives.size()] + " " +
+                 kBreweryNouns[(hash / 7) % kBreweryNouns.size()];
+   result.description =
+       kBreweryDescriptions[(hash / 13) % kBreweryDescriptions.size()];
+   return result;
+}

pipeline/src/data_generation/mock/generate_user.cpp

@@ -0,0 +1,13 @@
+#include <functional>
+#include <string>
+
+#include "data_generation/mock_generator.h"
+
+UserResult MockGenerator::GenerateUser(const std::string& locale) {
+   const std::size_t hash = std::hash<std::string>{}(locale);
+
+   UserResult result;
+   result.username = kUsernames[hash % kUsernames.size()];
+   result.bio = kBios[(hash / 11) % kBios.size()];
+   return result;
+}

pipeline/src/data_generation/mock/load.cpp

@@ -0,0 +1,9 @@
+#include <spdlog/spdlog.h>
+
+#include <string>
+
+#include "data_generation/mock_generator.h"
+
+void MockGenerator::Load(const std::string& /*modelPath*/) {
+   spdlog::info("[MockGenerator] No model needed");
+}

pipeline/src/database/database.cpp

@@ -1,5 +1,7 @@
 #include "database/database.h"
+
 #include <spdlog/spdlog.h>
+
 #include <stdexcept>
 
 void SqliteDatabase::InitializeSchema() {
@@ -104,7 +106,8 @@ void SqliteDatabase::InsertCountry(int id, const std::string &name,
    sqlite3_finalize(stmt);
 }
 
-void SqliteDatabase::InsertState(int id, int country_id, const std::string &name,
+void SqliteDatabase::InsertState(int id, int country_id,
+                                 const std::string& name,
                                  const std::string& iso2) {
    std::lock_guard<std::mutex> lock(db_mutex_);
 

pipeline/src/json_handling/json_loader.cpp

@@ -1,8 +1,9 @@
-#include <chrono>
+#include "json_handling/json_loader.h"
 
 #include <spdlog/spdlog.h>
 
-#include "json_handling/json_loader.h"
+#include <chrono>
+
 #include "json_handling/stream_parser.h"
 
 void JsonLoader::LoadWorldCities(const std::string& json_path,

pipeline/src/json_handling/stream_parser.cpp

@@ -1,12 +1,13 @@
-#include <cstdio>
-#include <stdexcept>
+#include "json_handling/stream_parser.h"
+
+#include <spdlog/spdlog.h>
 
 #include <boost/json.hpp>
 #include <boost/json/basic_parser_impl.hpp>
-#include <spdlog/spdlog.h>
+#include <cstdio>
+#include <stdexcept>
 
 #include "database/database.h"
-#include "json_handling/stream_parser.h"
 
 class CityRecordHandler {
    friend class boost::json::basic_parser<CityRecordHandler>;
@@ -235,7 +236,6 @@ void StreamingJsonParser::Parse(
     const std::string& file_path, SqliteDatabase& db,
     std::function<void(const CityRecord&)> on_city,
     std::function<void(size_t, size_t)> on_progress) {
-
    spdlog::info("  Streaming parse of {} (Boost.JSON)...", file_path);
 
    FILE* file = std::fopen(file_path.c_str(), "rb");
@@ -252,8 +252,8 @@ void StreamingJsonParser::Parse(
       std::rewind(file);
    }
 
-  CityRecordHandler::ParseContext ctx{&db,        on_city, on_progress, 0,
-                                      total_size, 0,      0};
+   CityRecordHandler::ParseContext ctx{&db, on_city, on_progress, 0, total_size,
+                                       0,   0};
    boost::json::basic_parser<CityRecordHandler> parser(
        boost::json::parse_options{}, ctx);
 
@@ -284,5 +284,6 @@ void StreamingJsonParser::Parse(
    }
 
    spdlog::info("    OK: Parsed {} countries, {} states, {} cities",
-               ctx.countries_inserted, ctx.states_inserted, ctx.cities_emitted);
+                ctx.countries_inserted, ctx.states_inserted,
+                ctx.cities_emitted);
 }

pipeline/src/web_client/curl_web_client.cpp

@@ -1,6 +1,8 @@
 #include "web_client/curl_web_client.h"
-#include <cstdio>
+
 #include <curl/curl.h>
+
+#include <cstdio>
 #include <fstream>
 #include <memory>
 #include <sstream>
@@ -68,8 +70,8 @@ void CURLWebClient::DownloadToFile(const std::string &url,
 
    std::ofstream outFile(file_path, std::ios::binary);
    if (!outFile.is_open()) {
-    throw std::runtime_error("[CURLWebClient] Cannot open file for writing: " +
-                             file_path);
+      throw std::runtime_error(
+          "[CURLWebClient] Cannot open file for writing: " + file_path);
    }
 
    set_common_get_options(curl.get(), url, 30L, 300L);

pipeline/src/wikipedia/wikipedia_service.cpp

@@ -1,8 +1,10 @@
 #include "wikipedia/wikipedia_service.h"
-#include <boost/json.hpp>
+
 #include <spdlog/spdlog.h>
 
-WikipediaService::WikipediaService(std::shared_ptr<IWebClient> client)
+#include <boost/json.hpp>
+
+WikipediaService::WikipediaService(std::shared_ptr<WebClient> client)
     : client_(std::move(client)) {}
 
 std::string WikipediaService::FetchExtract(std::string_view query) {
@@ -63,8 +65,7 @@ std::string WikipediaService::GetSummary(std::string_view city,
          result += regionExtract;
       }
       if (!beerExtract.empty()) {
-      if (!result.empty())
-        result += "\n\n";
+         if (!result.empty()) result += "\n\n";
          result += beerExtract;
       }
    } catch (const std::runtime_error& e) {