mirror of
https://github.com/aaronpo97/the-biergarten-app.git
synced 2026-10-14 17:54:42 +00:00
Update generate pipeline to add OpenAI api as an additional backend (for comparison testing), add brewery coordinates (#244)
* add brewery coordinates * Add openai mode * Add coordinates to schema * Fix C++ review findings in pipeline: k-prefixed enum values, include ordering, populated validation error messages, conventional const notation, and endl replaced with newline
This commit is contained in:
@@ -192,6 +192,19 @@ target_sources(${PROJECT_NAME} PRIVATE
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src/data_generation/mock/deterministic_hash.cc
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)
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# --- data_generation: shared JSON validation (always built — no llama.cpp dependency) ---
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target_sources(${PROJECT_NAME} PRIVATE
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src/data_generation/generation_json_validation.cc
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)
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# --- data_generation: openai (always built — no llama.cpp dependency) ---
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target_sources(${PROJECT_NAME} PRIVATE
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src/data_generation/openai/openai_generator.cc
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src/data_generation/openai/call_chat_completions_api.cc
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src/data_generation/openai/generate_brewery.cc
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src/data_generation/openai/generate_user.cc
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)
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# --- data_generation: llama (skipped for mock-only builds) ---
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if(NOT BIERGARTEN_MOCK_ONLY)
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target_sources(${PROJECT_NAME} PRIVATE
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@@ -15,12 +15,15 @@
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// --- data_generation ---
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#include "data_generation/data_generator.h"
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#include "data_generation/generation_json_validation.h"
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#include "data_generation/json_grammars.h"
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#ifndef BIERGARTEN_MOCK_ONLY
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#include "data_generation/llama_generator.h"
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#include "data_generation/llama_generator_helpers.h"
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#endif
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#include "data_generation/mock_generator.h"
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#include "data_generation/openai_generator.h"
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#include "data_generation/openai_json_schemas.h"
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#include "data_generation/prompt_formatting/gemma4_jinja_prompt_formatter.h"
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#include "data_generation/prompt_formatting/prompt_formatter.h"
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@@ -0,0 +1,52 @@
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#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_GENERATION_JSON_VALIDATION_H_
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#define BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_GENERATION_JSON_VALIDATION_H_
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/**
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* @file data_generation/generation_json_validation.h
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* @brief Generator-agnostic helpers for preparing prompt context and
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* validating structured JSON output. Shared across all DataGenerator
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* implementations (Llama, OpenAI, ...).
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*/
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#include <cstddef>
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#include <optional>
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#include <string>
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#include <string_view>
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#include "data_model/generated_models.h"
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/**
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* @brief Normalizes and truncates regional context.
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*
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* @param region_context Input regional context text.
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* @param max_chars Maximum output length.
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* @return Processed region context.
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*/
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std::string PrepareRegionContext(std::string_view region_context,
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size_t max_chars = 2000);
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/**
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* @brief Validates and parses brewery JSON output.
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*
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* @param raw Raw model output.
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* @param brewery_out Parsed brewery payload.
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* @return Validation error message if invalid, or std::nullopt on success.
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*/
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std::optional<std::string> ValidateBreweryJson(const std::string& raw,
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BreweryResult& brewery_out);
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/**
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* @brief Validates and parses user JSON output.
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*
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* Only populates `username`, `bio`, and `activity_weight` -- `first_name`
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* and `last_name` are not LLM-authored and are set separately from the
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* sampled Name.
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*
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* @param raw Raw model output.
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* @param user_out Parsed user payload.
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* @return Validation error message if invalid, or std::nullopt on success.
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*/
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std::optional<std::string> ValidateUserJson(const std::string& raw,
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UserResult& user_out);
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#endif // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_GENERATION_JSON_VALIDATION_H_
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@@ -3,30 +3,17 @@
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/**
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* @file data_generation/llama_generator_helpers.h
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* @brief Shared helper APIs used by LlamaGenerator translation units.
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* @brief Llama.cpp-specific helper APIs used by LlamaGenerator translation
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* units. Generator-agnostic helpers (prompt-context prep, JSON validation)
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* live in data_generation/generation_json_validation.h instead.
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*/
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#include <cstddef>
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#include <cstdint>
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#include <optional>
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#include <string>
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#include <string_view>
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#include "data_model/generated_models.h"
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struct llama_vocab;
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using llama_token = int32_t;
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/**
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* @brief Normalizes and truncates regional context.
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*
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* @param region_context Input regional context text.
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* @param max_chars Maximum output length.
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* @return Processed region context.
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*/
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std::string PrepareRegionContext(std::string_view region_context,
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size_t max_chars = 2000);
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/**
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* @brief Decodes a sampled token and appends it to output text.
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*
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@@ -37,28 +24,4 @@ std::string PrepareRegionContext(std::string_view region_context,
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void AppendTokenPiece(const llama_vocab* vocab, llama_token token,
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std::string& output);
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/**
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* @brief Validates and parses brewery JSON output.
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*
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* @param raw Raw model output.
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* @param brewery_out Parsed brewery payload.
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* @return Validation error message if invalid, or std::nullopt on success.
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*/
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std::optional<std::string> ValidateBreweryJson(const std::string& raw,
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BreweryResult& brewery_out);
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/**
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* @brief Validates and parses user JSON output.
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*
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* Only populates `username`, `bio`, and `activity_weight` -- `first_name`
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* and `last_name` are not LLM-authored and are set separately from the
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* sampled Name.
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*
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* @param raw Raw model output.
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* @param user_out Parsed user payload.
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* @return Validation error message if invalid, or std::nullopt on success.
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*/
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std::optional<std::string> ValidateUserJson(const std::string& raw,
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UserResult& user_out);
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#endif // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_LLAMA_GENERATOR_HELPERS_H_
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104
tooling/pipeline/includes/data_generation/openai_generator.h
Normal file
104
tooling/pipeline/includes/data_generation/openai_generator.h
Normal file
@@ -0,0 +1,104 @@
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#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_OPENAI_GENERATOR_H_
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#define BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_OPENAI_GENERATOR_H_
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/**
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* @file data_generation/openai_generator.h
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* @brief OpenAI Chat Completions API-backed implementation of DataGenerator.
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*/
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#include <memory>
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#include <string>
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#include <string_view>
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#include "data_generation/data_generator.h"
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#include "data_model/models.h"
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#include "services/logging/logger.h"
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#include "services/prompting/prompt_directory.h"
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#include "web_client/web_client.h"
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/**
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* @brief Data generator implementation backed by the OpenAI Chat
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* Completions API.
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*
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* Unlike LlamaGenerator, this generator has no local model state and no
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* chat-template formatting step -- Chat Completions takes system/user
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* messages directly, and Structured Outputs (response_format: json_schema,
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* strict: true) guarantee schema-valid JSON, replacing llama.cpp's GBNF
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* grammar constraint.
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*/
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class OpenAIGenerator final : public DataGenerator {
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public:
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/**
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* @brief Constructs a generator that calls the OpenAI Chat Completions
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* API.
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*
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* @param api_key OpenAI API key (from the OPENAI_API_KEY environment
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* variable -- never accepted as a CLI argument).
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* @param model OpenAI model ID, e.g. "gpt-4o-mini".
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* @param logger Sink for pipeline diagnostics.
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* @param prompt_directory Directory service for loading named prompt
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* files (the same BREWERY_GENERATION/USER_GENERATION prompts Llama
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* uses -- they're backend-agnostic).
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* @param web_client HTTP client used to reach the Chat Completions API.
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*/
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OpenAIGenerator(std::string api_key, std::string model,
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std::shared_ptr<ILogger> logger,
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std::unique_ptr<IPromptDirectory> prompt_directory,
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std::unique_ptr<WebClient> web_client);
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~OpenAIGenerator() override = default;
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OpenAIGenerator(const OpenAIGenerator&) = delete;
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OpenAIGenerator& operator=(const OpenAIGenerator&) = delete;
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OpenAIGenerator(OpenAIGenerator&&) = delete;
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OpenAIGenerator& operator=(OpenAIGenerator&&) = delete;
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/**
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* @brief Generates brewery data for a specific location.
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*
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* @param enriched_city Enriched city the brewery is associated with.
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* @return Generated brewery result.
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*/
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BreweryResult GenerateBrewery(const EnrichedCity& enriched_city) override;
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/**
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* @brief Generates a user profile grounded in a sampled name and persona.
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*
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* @param city Enriched city the user is associated with.
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* @param persona Persona archetype grounding the generated bio.
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* @param name Sampled first/last name -- not LLM-invented.
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* @return Generated user profile.
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*/
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UserResult GenerateUser(const EnrichedCity& city, const UserPersona& persona,
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const Name& name) override;
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private:
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/**
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* @brief Sends a single Chat Completions request with a Structured
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* Outputs schema and returns the raw JSON text of the response.
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*
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* @param system_prompt System role message content.
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* @param user_prompt User role message content.
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* @param json_schema Raw JSON Schema text constraining the response
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* shape (see data_generation/openai_json_schemas.h).
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* @param schema_name Identifier for the schema, required by the
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* response_format.json_schema wrapper.
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* @param max_tokens Maximum completion tokens to generate.
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* @return Raw JSON text produced by the model.
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* @throws std::runtime_error on a request/HTTP failure, a safety-policy
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* refusal, or a response with no message content.
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*/
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std::string CallChatCompletionsApi(const std::string& system_prompt,
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const std::string& user_prompt,
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std::string_view json_schema,
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std::string_view schema_name,
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int max_tokens);
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std::string api_key_;
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std::string model_;
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std::shared_ptr<ILogger> logger_;
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std::unique_ptr<IPromptDirectory> prompt_directory_;
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std::unique_ptr<WebClient> web_client_;
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};
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#endif // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_OPENAI_GENERATOR_H_
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@@ -0,0 +1,46 @@
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#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_OPENAI_JSON_SCHEMAS_H_
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#define BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_OPENAI_JSON_SCHEMAS_H_
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/**
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* @file data_generation/openai_json_schemas.h
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* @brief JSON Schemas constraining structured output from OpenAIGenerator
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* Chat Completions requests, via response_format.json_schema (Structured
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* Outputs, strict mode). This is OpenAI's equivalent of the GBNF grammars
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* in json_grammars.h -- the API guarantees the response message content is
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* a single JSON string that validates against the schema, so there's no
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* grammar-level "thought-block" prefix to account for.
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*
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* OpenAI's strict mode requires "additionalProperties": false on every
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* object in the schema, which these already have.
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*/
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#include <string_view>
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inline constexpr std::string_view kBreweryJsonSchema = R"json_brewery(
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{
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"type": "object",
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"properties": {
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"name_en": {"type": "string"},
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"description_en": {"type": "string"},
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"name_local": {"type": "string"},
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"description_local": {"type": "string"}
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},
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"required": ["name_en", "description_en", "name_local", "description_local"],
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"additionalProperties": false
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}
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)json_brewery";
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inline constexpr std::string_view kUserJsonSchema = R"json_user(
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{
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"type": "object",
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"properties": {
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"username": {"type": "string"},
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"bio": {"type": "string"},
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"activity_weight": {"type": "number"}
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},
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"required": ["username", "bio", "activity_weight"],
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"additionalProperties": false
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}
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)json_user";
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#endif // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_OPENAI_JSON_SCHEMAS_H_
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@@ -94,6 +94,8 @@ struct EnrichedCity {
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struct BreweryAddress {
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City city;
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std::string postal_code{};
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double longitude{};
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double latitude{};
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};
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/**
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@@ -66,6 +66,9 @@ struct City {
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*/
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std::string iso3166_1{};
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double longitude{};
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double latitude{};
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/**
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* @brief Local language codes in priority order.
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*/
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@@ -184,25 +187,47 @@ struct SamplingOptions {
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int n_gpu_layers = 0;
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};
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/**
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* @brief Selects which DataGenerator backend the pipeline uses.
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*/
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enum class GeneratorMode {
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kMock,
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kLlama,
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kOpenAI,
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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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/**
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* @brief Path to the LLM model file (gguf format).
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* @brief Path to the LLM model file (gguf format). Only meaningful for
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* GeneratorMode::kLlama.
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*/
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std::filesystem::path model_path;
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/**
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* @brief Use mocked generator instead of actual LLM inference.
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* @brief Which generator backend to use.
|
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*/
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bool use_mocked = false;
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GeneratorMode mode = GeneratorMode::kMock;
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|
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/**
|
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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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* @brief Specific sampling parameters for this generator. Only
|
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* meaningful for GeneratorMode::kLlama; if nullopt, LlamaGenerator uses
|
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* its own defaults.
|
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*/
|
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std::optional<SamplingOptions> sampling;
|
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|
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/**
|
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* @brief OpenAI API key, read from the OPENAI_API_KEY environment
|
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* variable. Only populated for GeneratorMode::kOpenAI.
|
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*/
|
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std::string openai_api_key;
|
||||
|
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/**
|
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* @brief OpenAI model ID used by OpenAIGenerator.
|
||||
*/
|
||||
std::string openai_model = "gpt-4o-mini";
|
||||
};
|
||||
|
||||
/**
|
||||
|
||||
@@ -26,6 +26,8 @@ CREATE TABLE IF NOT EXISTS cities (
|
||||
iso3166_2 TEXT NOT NULL,
|
||||
country TEXT NOT NULL,
|
||||
iso3166_1 TEXT NOT NULL,
|
||||
longitude REAL NOT NULL,
|
||||
latitude REAL NOT NULL,
|
||||
local_languages_json TEXT NOT NULL,
|
||||
postal_code_country_format_regex TEXT NOT NULL,
|
||||
postal_code_city_regex_json TEXT NOT NULL,
|
||||
@@ -53,6 +55,8 @@ CREATE TABLE IF NOT EXISTS brewery_addresses (
|
||||
brewery_id INTEGER NOT NULL,
|
||||
city_id INTEGER NOT NULL,
|
||||
postal_code TEXT NOT NULL,
|
||||
longitude REAL NOT NULL,
|
||||
latitude REAL NOT NULL,
|
||||
FOREIGN KEY(brewery_id) REFERENCES breweries(id) ON DELETE CASCADE,
|
||||
FOREIGN KEY(city_id) REFERENCES cities(id) ON DELETE CASCADE
|
||||
);
|
||||
@@ -105,10 +109,12 @@ INSERT INTO cities (
|
||||
iso3166_2,
|
||||
country,
|
||||
iso3166_1,
|
||||
longitude,
|
||||
latitude,
|
||||
local_languages_json,
|
||||
postal_code_country_format_regex,
|
||||
postal_code_city_regex_json
|
||||
) VALUES (?, ?, ?, ?, ?, ?, ?, ?);
|
||||
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?);
|
||||
)sql";
|
||||
|
||||
inline constexpr std::string_view kInsertBrewerySql = R"sql(
|
||||
@@ -124,8 +130,10 @@ inline constexpr std::string_view kInsertBreweryAddressSql = R"sql(
|
||||
INSERT INTO brewery_addresses (
|
||||
brewery_id,
|
||||
city_id,
|
||||
postal_code
|
||||
) VALUES (?, ?, ?);
|
||||
postal_code,
|
||||
longitude,
|
||||
latitude
|
||||
) VALUES (?, ?, ?, ?, ?);
|
||||
)sql";
|
||||
|
||||
inline constexpr std::string_view kInsertUserSql = R"sql(
|
||||
@@ -157,6 +165,8 @@ enum CityBindIndex {
|
||||
kCityIso31662BindIndex,
|
||||
kCityCountryBindIndex,
|
||||
kCityIso31661BindIndex,
|
||||
kCityLongitudeBindIndex,
|
||||
kCityLatitudeBindIndex,
|
||||
kCityLanguagesBindIndex,
|
||||
kCityPostalCodeCountryFormatRegexBindIndex,
|
||||
kCityPostalCodeCityRegexJsonBindIndex,
|
||||
@@ -173,6 +183,8 @@ enum BreweryAddressBindIndex {
|
||||
kBreweryAddressBreweryIdBindIndex = 1,
|
||||
kBreweryAddressCityIdBindIndex,
|
||||
kBreweryAddressPostalCodeBindIndex,
|
||||
kBreweryAddressLongitudeBindIndex,
|
||||
kBreweryAddressLatitudeBindIndex,
|
||||
};
|
||||
|
||||
enum UserBindIndex {
|
||||
|
||||
@@ -9,6 +9,7 @@
|
||||
#include <memory>
|
||||
#include <string>
|
||||
#include <utility>
|
||||
#include <vector>
|
||||
|
||||
#include "services/logging/logger.h"
|
||||
#include "web_client/web_client.h"
|
||||
@@ -39,6 +40,22 @@ class HttpWebClient final : public WebClient {
|
||||
*/
|
||||
std::string Get(const std::string& url) override;
|
||||
|
||||
/**
|
||||
* @brief Executes a blocking HTTP/HTTPS POST request against a full URL.
|
||||
*
|
||||
* Sends @p body with a "Content-Type: application/json" header, plus any
|
||||
* additional headers supplied by the caller (e.g. authentication).
|
||||
*
|
||||
* @param url Fully-qualified URL.
|
||||
* @param body Request body, sent as-is.
|
||||
* @param headers Additional request headers.
|
||||
* @return Response body on HTTP 2xx; throws std::runtime_error otherwise.
|
||||
*/
|
||||
std::string Post(
|
||||
const std::string& url, const std::string& body,
|
||||
const std::vector<std::pair<std::string, std::string>>& headers)
|
||||
override;
|
||||
|
||||
/**
|
||||
* @brief Percent-encodes a single URI component (query parameter value or
|
||||
* path segment). Delegates to httplib::encode_uri_component().
|
||||
|
||||
@@ -7,6 +7,8 @@
|
||||
*/
|
||||
|
||||
#include <string>
|
||||
#include <utility>
|
||||
#include <vector>
|
||||
|
||||
/**
|
||||
* @brief Abstract web client interface.
|
||||
@@ -23,6 +25,20 @@ class WebClient {
|
||||
*/
|
||||
virtual std::string Get(const std::string& url) = 0;
|
||||
|
||||
/**
|
||||
* @brief Executes an HTTP POST request with a JSON body.
|
||||
*
|
||||
* @param url Request URL.
|
||||
* @param body Request body (sent as-is; callers are responsible for
|
||||
* providing valid JSON when the target API expects it).
|
||||
* @param headers Additional request headers (e.g. authentication),
|
||||
* sent alongside a fixed "Content-Type: application/json" header.
|
||||
* @return Response body.
|
||||
*/
|
||||
virtual std::string Post(
|
||||
const std::string& url, const std::string& body,
|
||||
const std::vector<std::pair<std::string, std::string>>& headers) = 0;
|
||||
|
||||
/**
|
||||
* @brief URL-encodes a string value.
|
||||
*
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
#include <chrono>
|
||||
#include <cstdlib>
|
||||
#include <format>
|
||||
#include <iostream>
|
||||
#include <optional>
|
||||
@@ -37,13 +38,20 @@ std::optional<ApplicationOptions> ParseArguments(
|
||||
"Number of layers to offload to GPU");
|
||||
};
|
||||
|
||||
// --mocked and --model are mutually exclusive; validation is enforced below
|
||||
// rather than at registration to produce a clear diagnostic message.
|
||||
// --mocked, --model, and --openai are mutually exclusive; validation is
|
||||
// enforced below rather than at registration to produce a clear
|
||||
// diagnostic message.
|
||||
auto add_generator_options = [&]() -> void {
|
||||
opt("mocked", prog_opts::bool_switch(),
|
||||
"Use mocked generator for brewery/user data");
|
||||
opt("model,m", prog_opts::value<std::string>()->default_value(""),
|
||||
"Path to LLM model (gguf)");
|
||||
opt("openai", prog_opts::bool_switch(),
|
||||
"Use the OpenAI API (Chat Completions) for brewery/user data. "
|
||||
"Requires the OPENAI_API_KEY environment variable.");
|
||||
opt("openai-model",
|
||||
prog_opts::value<std::string>()->default_value("gpt-4o-mini"),
|
||||
"OpenAI model ID used when --openai is set");
|
||||
};
|
||||
|
||||
auto add_pipeline_options = [&]() -> void {
|
||||
@@ -109,14 +117,19 @@ std::optional<ApplicationOptions> ParseArguments(
|
||||
|
||||
const bool use_mocked = var_map["mocked"].as<bool>();
|
||||
const std::string model_path = var_map["model"].as<std::string>();
|
||||
const bool use_openai = var_map["openai"].as<bool>();
|
||||
const int n_gpu_layers = var_map["n-gpu-layers"].as<int>();
|
||||
|
||||
// Enforce mutual exclusivity before any further configuration is
|
||||
// applied.
|
||||
if (use_mocked && !model_path.empty()) {
|
||||
const int selected_generator_count =
|
||||
(use_mocked ? 1 : 0) + (!model_path.empty() ? 1 : 0) +
|
||||
(use_openai ? 1 : 0);
|
||||
|
||||
if (selected_generator_count > 1) {
|
||||
const std::string msg =
|
||||
"Invalid arguments: --mocked and --model are mutually "
|
||||
"exclusive";
|
||||
"Invalid arguments: --mocked, --model, and --openai are "
|
||||
"mutually exclusive";
|
||||
if (logger) {
|
||||
logger->Log(LogDTO{.level = LogLevel::Error,
|
||||
.phase = PipelinePhase::Startup,
|
||||
@@ -127,10 +140,10 @@ std::optional<ApplicationOptions> ParseArguments(
|
||||
return std::nullopt;
|
||||
}
|
||||
|
||||
if (!use_mocked && model_path.empty()) {
|
||||
if (selected_generator_count == 0) {
|
||||
const std::string msg =
|
||||
"Invalid arguments: either --mocked or --model must be "
|
||||
"specified";
|
||||
"Invalid arguments: exactly one of --mocked, --model, or "
|
||||
"--openai must be specified";
|
||||
if (logger) {
|
||||
logger->Log(LogDTO{.level = LogLevel::Error,
|
||||
.phase = PipelinePhase::Startup,
|
||||
@@ -141,8 +154,9 @@ std::optional<ApplicationOptions> ParseArguments(
|
||||
return std::nullopt;
|
||||
}
|
||||
|
||||
// Prompt directory is only meaningful for live inference — the mock
|
||||
// generator has no use for it and should not require it to be present.
|
||||
// Prompt directory is only meaningful for live inference (Llama or
|
||||
// OpenAI) — the mock generator has no use for it and should not
|
||||
// require it to be present.
|
||||
if (!use_mocked && options.pipeline.prompt_dir.empty()) {
|
||||
const std::string msg =
|
||||
"Invalid arguments: --prompt-dir is required when not using "
|
||||
@@ -157,8 +171,29 @@ std::optional<ApplicationOptions> ParseArguments(
|
||||
return std::nullopt;
|
||||
}
|
||||
|
||||
options.generator.use_mocked = use_mocked;
|
||||
if (use_openai) {
|
||||
const char* api_key_env = std::getenv("OPENAI_API_KEY");
|
||||
if (api_key_env == nullptr || api_key_env[0] == '\0') {
|
||||
const std::string msg =
|
||||
"Invalid arguments: the OPENAI_API_KEY environment "
|
||||
"variable must be set when using --openai";
|
||||
if (logger) {
|
||||
logger->Log({.level = LogLevel::Error,
|
||||
.phase = PipelinePhase::Startup,
|
||||
.message = msg});
|
||||
} else {
|
||||
std::cerr << msg << '\n';
|
||||
}
|
||||
return std::nullopt;
|
||||
}
|
||||
options.generator.openai_api_key = api_key_env;
|
||||
}
|
||||
|
||||
options.generator.mode = use_mocked ? GeneratorMode::kMock
|
||||
: use_openai ? GeneratorMode::kOpenAI
|
||||
: GeneratorMode::kLlama;
|
||||
options.generator.model_path = model_path;
|
||||
options.generator.openai_model = var_map["openai-model"].as<std::string>();
|
||||
|
||||
// Only populate sampling config when the user explicitly overrides at
|
||||
// least one value. Leaving it as std::nullopt lets LlamaGenerator fall
|
||||
@@ -172,10 +207,11 @@ std::optional<ApplicationOptions> ParseArguments(
|
||||
|
||||
if (user_provided_sampling) {
|
||||
// Warn but do not fail — the run is still valid, the flags are just
|
||||
// silently irrelevant when no model is loaded.
|
||||
if (use_mocked) {
|
||||
// silently irrelevant when no local model is loaded.
|
||||
if (options.generator.mode != GeneratorMode::kLlama) {
|
||||
const std::string msg =
|
||||
"Sampling parameters are ignored when using --mocked";
|
||||
"Sampling parameters are ignored unless using --model "
|
||||
"(Llama)";
|
||||
if (logger) {
|
||||
logger->Log(LogDTO{.level = LogLevel::Warn,
|
||||
.phase = PipelinePhase::Startup,
|
||||
|
||||
@@ -4,12 +4,55 @@
|
||||
*/
|
||||
|
||||
#include <chrono>
|
||||
#include <cmath>
|
||||
#include <format>
|
||||
#include <numbers>
|
||||
#include <optional>
|
||||
#include <random>
|
||||
|
||||
#include "biergarten_pipeline_orchestrator.h"
|
||||
#include "services/logging/logger.h"
|
||||
|
||||
struct Coords {
|
||||
double longitude;
|
||||
double latitude;
|
||||
};
|
||||
|
||||
// @todo find a better home for this
|
||||
namespace {
|
||||
constexpr double kEarthRadiusKm = 6371.0;
|
||||
|
||||
double DegreesToRadians(double degrees) {
|
||||
return degrees * std::numbers::pi / 180.0;
|
||||
}
|
||||
|
||||
double RadiansToDegrees(double radians) {
|
||||
return radians * 180.0 / std::numbers::pi;
|
||||
}
|
||||
} // namespace
|
||||
|
||||
static Coords GetRandomCoordsWithinRange(const Coords& centre,
|
||||
const int distance_km,
|
||||
std::mt19937& rng) {
|
||||
std::uniform_real_distribution<double> angle_dist(0.0,
|
||||
2.0 * std::numbers::pi);
|
||||
std::uniform_real_distribution<double> unit_dist(0.0, 1.0);
|
||||
|
||||
const double angle_radians = angle_dist(rng);
|
||||
// sqrt() keeps points uniformly distributed over the disc's area rather
|
||||
// than clustering near the centre.
|
||||
const double radius_km = distance_km * std::sqrt(unit_dist(rng));
|
||||
|
||||
const double delta_latitude_degrees =
|
||||
RadiansToDegrees(radius_km * std::cos(angle_radians) / kEarthRadiusKm);
|
||||
const double delta_longitude_degrees = RadiansToDegrees(
|
||||
radius_km * std::sin(angle_radians) /
|
||||
(kEarthRadiusKm * std::cos(DegreesToRadians(centre.latitude))));
|
||||
|
||||
return Coords{.longitude = centre.longitude + delta_longitude_degrees,
|
||||
.latitude = centre.latitude + delta_latitude_degrees};
|
||||
}
|
||||
|
||||
void BiergartenPipelineOrchestrator::GenerateBreweries(
|
||||
std::span<const EnrichedCity> cities) {
|
||||
logger_->Log({.level = LogLevel::Info,
|
||||
@@ -19,18 +62,28 @@ void BiergartenPipelineOrchestrator::GenerateBreweries(
|
||||
generated_breweries_.clear();
|
||||
size_t skipped_count = 0;
|
||||
size_t export_failed_count = 0;
|
||||
std::mt19937 rng(std::random_device{}());
|
||||
|
||||
const auto generate_record =
|
||||
[this, &skipped_count](
|
||||
[this, &skipped_count, &rng](
|
||||
const EnrichedCity& enriched_city) -> std::optional<BreweryRecord> {
|
||||
try {
|
||||
const BreweryResult brewery =
|
||||
generator_->GenerateBrewery(enriched_city);
|
||||
const std::string postal_code =
|
||||
postal_code_service_->GeneratePostalCode(enriched_city.location);
|
||||
|
||||
constexpr int kMaxDistanceFromCentreKm = 5;
|
||||
const Coords city_centre{.longitude = enriched_city.location.longitude,
|
||||
.latitude = enriched_city.location.latitude};
|
||||
const Coords brewery_coords = GetRandomCoordsWithinRange(
|
||||
city_centre, kMaxDistanceFromCentreKm, rng);
|
||||
|
||||
return BreweryRecord{
|
||||
.address = BreweryAddress{.city = enriched_city.location,
|
||||
.postal_code = postal_code},
|
||||
.postal_code = postal_code,
|
||||
.longitude = brewery_coords.longitude,
|
||||
.latitude = brewery_coords.latitude},
|
||||
.brewery = brewery};
|
||||
} catch (const std::exception& e) {
|
||||
++skipped_count;
|
||||
@@ -91,4 +144,4 @@ void BiergartenPipelineOrchestrator::GenerateBreweries(
|
||||
"brewery/breweries to SQLite",
|
||||
export_failed_count)});
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -17,17 +17,19 @@ void BiergartenPipelineOrchestrator::LogResults() const {
|
||||
for (const auto& [address, brewery] : generated_breweries_) {
|
||||
const City& city = address.city;
|
||||
brewery_output.push_back(boost::json::object{
|
||||
{"name_en", brewery.name_en},
|
||||
{"description_en", brewery.description_en},
|
||||
{"name_local", brewery.name_local},
|
||||
{"description_local", brewery.description_local},
|
||||
{"address", boost::json::object{
|
||||
{"city", city.city},
|
||||
{"country", city.country},
|
||||
{"state_province", city.state_province},
|
||||
{"iso3166_2", city.iso3166_2},
|
||||
{"postal_code", address.postal_code},
|
||||
}}});
|
||||
{"name_en", brewery.name_en},
|
||||
{"description_en", brewery.description_en},
|
||||
{"name_local", brewery.name_local},
|
||||
{"description_local", brewery.description_local},
|
||||
{"address", boost::json::object{
|
||||
{"city", city.city},
|
||||
{"country", city.country},
|
||||
{"state_province", city.state_province},
|
||||
{"iso3166_2", city.iso3166_2},
|
||||
{"postal_code", address.postal_code},
|
||||
{"longitude", address.longitude},
|
||||
{"latitude", address.latitude},
|
||||
}}});
|
||||
}
|
||||
|
||||
std::ostringstream brewery_oss;
|
||||
@@ -40,14 +42,14 @@ void BiergartenPipelineOrchestrator::LogResults() const {
|
||||
|
||||
for (const auto& generated_user : generated_users_) {
|
||||
user_output.push_back(boost::json::object{
|
||||
{"first_name", generated_user.user.first_name},
|
||||
{"last_name", generated_user.user.last_name},
|
||||
{"gender", generated_user.user.gender},
|
||||
{"username", generated_user.user.username},
|
||||
{"bio", generated_user.user.bio},
|
||||
{"activity_weight", generated_user.user.activity_weight},
|
||||
{"email", generated_user.email},
|
||||
{"date_of_birth", generated_user.date_of_birth},
|
||||
{"first_name", generated_user.user.first_name},
|
||||
{"last_name", generated_user.user.last_name},
|
||||
{"gender", generated_user.user.gender},
|
||||
{"username", generated_user.user.username},
|
||||
{"bio", generated_user.user.bio},
|
||||
{"activity_weight", generated_user.user.activity_weight},
|
||||
{"email", generated_user.email},
|
||||
{"date_of_birth", generated_user.date_of_birth},
|
||||
});
|
||||
}
|
||||
|
||||
@@ -56,4 +58,4 @@ void BiergartenPipelineOrchestrator::LogResults() const {
|
||||
logger_->Log({.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Teardown,
|
||||
.message = user_oss.str()});
|
||||
}
|
||||
}
|
||||
@@ -39,11 +39,10 @@ std::vector<City> BiergartenPipelineOrchestrator::QueryLocations() {
|
||||
|
||||
logger_->Log({.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
.message = std::format(" Locations available: {}",
|
||||
all_locations.size())});
|
||||
logger_->Log({.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
.message = std::format(" Sampled locations: {}",
|
||||
sampled_locations.size())});
|
||||
.message = std::format(
|
||||
" Locations available: {}\n Sampled Locations: {}",
|
||||
all_locations.size(), sampled_locations.size())});
|
||||
|
||||
|
||||
return sampled_locations;
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,236 @@
|
||||
/**
|
||||
* @file data_generation/generation_json_validation.cc
|
||||
* @brief Generator-agnostic prompt-context preparation and structured JSON
|
||||
* validation, shared across all DataGenerator implementations.
|
||||
*/
|
||||
|
||||
#include "data_generation/generation_json_validation.h"
|
||||
|
||||
#include <algorithm>
|
||||
#include <array>
|
||||
#include <cctype>
|
||||
#include <format>
|
||||
#include <span>
|
||||
#include <string>
|
||||
#include <string_view>
|
||||
|
||||
#include <boost/json.hpp>
|
||||
|
||||
namespace {
|
||||
/**
|
||||
* String trimming: removes leading and trailing whitespace
|
||||
*/
|
||||
std::string Trim(std::string_view value) {
|
||||
constexpr std::string_view whitespace = " \t\n\r\f\v";
|
||||
const size_t first_index = value.find_first_not_of(whitespace);
|
||||
if (first_index == std::string_view::npos) {
|
||||
return {};
|
||||
}
|
||||
|
||||
const size_t last_index = value.find_last_not_of(whitespace);
|
||||
return std::string(value.substr(first_index, last_index - first_index + 1));
|
||||
}
|
||||
|
||||
/**
|
||||
* Normalize whitespace: collapses multiple spaces/tabs/newlines into single
|
||||
* spaces
|
||||
*/
|
||||
std::string CondenseWhitespace(std::string_view text) {
|
||||
std::string out;
|
||||
out.reserve(text.size());
|
||||
|
||||
bool pending_space = false;
|
||||
for (const char chr : text) {
|
||||
if (std::isspace(static_cast<unsigned char>(chr)) != 0) {
|
||||
if (!out.empty()) {
|
||||
pending_space = true;
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
if (pending_space) {
|
||||
out.push_back(' ');
|
||||
pending_space = false;
|
||||
}
|
||||
out.push_back(chr);
|
||||
}
|
||||
|
||||
return out;
|
||||
}
|
||||
|
||||
// Guard against truncating in the first half of the string.
|
||||
// This preserves the critical opening content and avoids cutting critical
|
||||
// context words early in the region description.
|
||||
constexpr size_t kTruncationGuardDivisor = 2;
|
||||
|
||||
bool ReadRequiredTrimmedStringField(const boost::json::object& obj,
|
||||
std::string_view key, std::string& out,
|
||||
std::string* error_out) {
|
||||
const boost::json::value* field = obj.if_contains(key);
|
||||
if (field == nullptr || !field->is_string()) {
|
||||
if (error_out != nullptr) {
|
||||
*error_out =
|
||||
std::format("Missing or invalid string field: {}", key);
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
const auto& string_value = field->as_string();
|
||||
out = Trim(std::string_view(string_value.data(), string_value.size()));
|
||||
if (out.empty() && error_out != nullptr) {
|
||||
*error_out = std::format("Field must not be empty: {}", key);
|
||||
}
|
||||
return !out.empty();
|
||||
}
|
||||
|
||||
bool HasSchemaPlaceholder(std::span<std::string* const> values) {
|
||||
for (const std::string* value : values) {
|
||||
std::string lowered = *value;
|
||||
std::ranges::transform(
|
||||
lowered, lowered.begin(), [](const unsigned char character) {
|
||||
return static_cast<char>(std::tolower(character));
|
||||
});
|
||||
|
||||
if (lowered == "string") {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
} // namespace
|
||||
|
||||
/**
|
||||
* Truncate region context to fit within max length while preserving word
|
||||
* boundaries
|
||||
*/
|
||||
std::string PrepareRegionContext(std::string_view region_context,
|
||||
const size_t max_chars) {
|
||||
std::string normalized = CondenseWhitespace(region_context);
|
||||
if (normalized.size() <= max_chars) {
|
||||
return normalized;
|
||||
}
|
||||
|
||||
normalized.resize(max_chars);
|
||||
const size_t last_space = normalized.find_last_of(' ');
|
||||
if (last_space != std::string::npos &&
|
||||
last_space > max_chars / kTruncationGuardDivisor) {
|
||||
normalized.resize(last_space);
|
||||
}
|
||||
|
||||
normalized += "...";
|
||||
return normalized;
|
||||
}
|
||||
|
||||
std::optional<std::string> ValidateBreweryJson(const std::string& raw,
|
||||
BreweryResult& brewery_out) {
|
||||
boost::system::error_code error_code;
|
||||
const std::string_view raw_view(raw);
|
||||
const size_t opening_brace = raw_view.find('{');
|
||||
if (opening_brace == std::string_view::npos) {
|
||||
return "JSON parse error: missing opening brace '{'";
|
||||
}
|
||||
|
||||
const std::string_view json_payload = raw_view.substr(opening_brace);
|
||||
boost::json::value json_value = boost::json::parse(json_payload, error_code);
|
||||
if (error_code) {
|
||||
return "JSON parse error: " + error_code.message();
|
||||
}
|
||||
|
||||
if (!json_value.is_object()) {
|
||||
return "JSON root must be an object";
|
||||
}
|
||||
|
||||
const auto& obj = json_value.get_object();
|
||||
if (obj.size() != 4) {
|
||||
return "JSON object must contain exactly four keys";
|
||||
}
|
||||
|
||||
std::string validation_error;
|
||||
if (!ReadRequiredTrimmedStringField(obj, "name_en", brewery_out.name_en,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
if (!ReadRequiredTrimmedStringField(obj, "description_en",
|
||||
brewery_out.description_en,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
if (!ReadRequiredTrimmedStringField(
|
||||
obj, "name_local", brewery_out.name_local, &validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
if (!ReadRequiredTrimmedStringField(obj, "description_local",
|
||||
brewery_out.description_local,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
const std::array schema_placeholders = {
|
||||
&brewery_out.name_en, &brewery_out.description_en,
|
||||
&brewery_out.name_local, &brewery_out.description_local};
|
||||
if (HasSchemaPlaceholder(schema_placeholders)) {
|
||||
return "JSON appears to be a schema placeholder, not content";
|
||||
}
|
||||
|
||||
return std::nullopt;
|
||||
}
|
||||
|
||||
std::optional<std::string> ValidateUserJson(const std::string& raw,
|
||||
UserResult& user_out) {
|
||||
boost::system::error_code error_code;
|
||||
const std::string_view raw_view(raw);
|
||||
const size_t opening_brace = raw_view.find('{');
|
||||
if (opening_brace == std::string_view::npos) {
|
||||
return "JSON parse error: missing opening brace '{'";
|
||||
}
|
||||
|
||||
const std::string_view json_payload = raw_view.substr(opening_brace);
|
||||
boost::json::value json_value = boost::json::parse(json_payload, error_code);
|
||||
if (error_code) {
|
||||
return "JSON parse error: " + error_code.message();
|
||||
}
|
||||
|
||||
if (!json_value.is_object()) {
|
||||
return "JSON root must be an object";
|
||||
}
|
||||
|
||||
const auto& obj = json_value.get_object();
|
||||
if (obj.size() != 3) {
|
||||
return "JSON object must contain exactly three keys";
|
||||
}
|
||||
|
||||
std::string validation_error;
|
||||
if (!ReadRequiredTrimmedStringField(obj, "username", user_out.username,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
if (!ReadRequiredTrimmedStringField(obj, "bio", user_out.bio,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
const boost::json::value* activity_weight_field =
|
||||
obj.if_contains("activity_weight");
|
||||
if (activity_weight_field == nullptr ||
|
||||
!activity_weight_field->is_number()) {
|
||||
return "Missing or invalid numeric field: activity_weight";
|
||||
}
|
||||
|
||||
const double activity_weight = activity_weight_field->to_number<double>();
|
||||
if (activity_weight < 0.0 || activity_weight > 1.0) {
|
||||
return "activity_weight must be between 0 and 1";
|
||||
}
|
||||
user_out.activity_weight = static_cast<float>(activity_weight);
|
||||
|
||||
const std::array schema_placeholders = {&user_out.username, &user_out.bio};
|
||||
if (HasSchemaPlaceholder(schema_placeholders)) {
|
||||
return "JSON appears to be a schema placeholder, not content";
|
||||
}
|
||||
|
||||
return std::nullopt;
|
||||
}
|
||||
@@ -12,9 +12,9 @@
|
||||
#include <string_view>
|
||||
#include <vector>
|
||||
|
||||
#include "data_generation/generation_json_validation.h"
|
||||
#include "data_generation/json_grammars.h"
|
||||
#include "data_generation/llama_generator.h"
|
||||
#include "data_generation/llama_generator_helpers.h"
|
||||
|
||||
static std::string FormatLocalLanguageCodes(
|
||||
const std::vector<std::string>& codes) {
|
||||
|
||||
@@ -10,9 +10,9 @@
|
||||
#include <string>
|
||||
#include <string_view>
|
||||
|
||||
#include "data_generation/generation_json_validation.h"
|
||||
#include "data_generation/json_grammars.h"
|
||||
#include "data_generation/llama_generator.h"
|
||||
#include "data_generation/llama_generator_helpers.h"
|
||||
|
||||
static constexpr int kUserInitialMaxTokens = 1200;
|
||||
|
||||
|
||||
@@ -1,123 +1,17 @@
|
||||
/**
|
||||
* @file data_generation/llama/helpers.cc
|
||||
* @brief Provides prompt formatting, whitespace normalization, response
|
||||
* parsing, token decoding, and JSON validation helpers for Llama modules.
|
||||
* @brief Token decoding helper for LlamaGenerator modules.
|
||||
*/
|
||||
|
||||
#include <llama.h>
|
||||
|
||||
#include <algorithm>
|
||||
#include <array>
|
||||
#include <boost/json.hpp>
|
||||
#include <cctype>
|
||||
#include <optional>
|
||||
#include <span>
|
||||
#include <stdexcept>
|
||||
#include <string>
|
||||
#include <string_view>
|
||||
#include <vector>
|
||||
|
||||
#include "data_generation/llama_generator_helpers.h"
|
||||
|
||||
namespace {
|
||||
/**
|
||||
* String trimming: removes leading and trailing whitespace
|
||||
*/
|
||||
std::string Trim(std::string_view value) {
|
||||
constexpr std::string_view whitespace = " \t\n\r\f\v";
|
||||
const size_t first_index = value.find_first_not_of(whitespace);
|
||||
if (first_index == std::string_view::npos) {
|
||||
return {};
|
||||
}
|
||||
|
||||
const size_t last_index = value.find_last_not_of(whitespace);
|
||||
return std::string(value.substr(first_index, last_index - first_index + 1));
|
||||
}
|
||||
|
||||
/**
|
||||
* Normalize whitespace: collapses multiple spaces/tabs/newlines into single
|
||||
* spaces
|
||||
*/
|
||||
std::string CondenseWhitespace(std::string_view text) {
|
||||
std::string out;
|
||||
out.reserve(text.size());
|
||||
|
||||
bool pending_space = false;
|
||||
for (const char chr : text) {
|
||||
if (std::isspace(static_cast<unsigned char>(chr)) != 0) {
|
||||
if (!out.empty()) {
|
||||
pending_space = true;
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
if (pending_space) {
|
||||
out.push_back(' ');
|
||||
pending_space = false;
|
||||
}
|
||||
out.push_back(chr);
|
||||
}
|
||||
|
||||
return out;
|
||||
}
|
||||
|
||||
// Guard against truncating in the first half of the string.
|
||||
// This preserves the critical opening content and avoids cutting critical
|
||||
// context words early in the region description.
|
||||
constexpr size_t kTruncationGuardDivisor = 2;
|
||||
|
||||
bool ReadRequiredTrimmedStringField(const boost::json::object& obj,
|
||||
std::string_view key, std::string& out,
|
||||
std::string* error_out) {
|
||||
const boost::json::value* field = obj.if_contains(key);
|
||||
if (field == nullptr || !field->is_string()) {
|
||||
return false;
|
||||
}
|
||||
|
||||
const auto& string_value = field->as_string();
|
||||
out = Trim(std::string_view(string_value.data(), string_value.size()));
|
||||
return !out.empty();
|
||||
}
|
||||
|
||||
bool HasSchemaPlaceholder(std::span<std::string* const> values) {
|
||||
for (const std::string* value : values) {
|
||||
std::string lowered = *value;
|
||||
std::ranges::transform(
|
||||
lowered, lowered.begin(), [](const unsigned char character) {
|
||||
return static_cast<char>(std::tolower(character));
|
||||
});
|
||||
|
||||
if (lowered == "string") {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
} // namespace
|
||||
|
||||
/**
|
||||
* Truncate region context to fit within max length while preserving word
|
||||
* boundaries
|
||||
*/
|
||||
std::string PrepareRegionContext(std::string_view region_context,
|
||||
const size_t max_chars) {
|
||||
std::string normalized = CondenseWhitespace(region_context);
|
||||
if (normalized.size() <= max_chars) {
|
||||
return normalized;
|
||||
}
|
||||
|
||||
normalized.resize(max_chars);
|
||||
const size_t last_space = normalized.find_last_of(' ');
|
||||
if (last_space != std::string::npos &&
|
||||
last_space > max_chars / kTruncationGuardDivisor) {
|
||||
normalized.resize(last_space);
|
||||
}
|
||||
|
||||
normalized += "...";
|
||||
return normalized;
|
||||
}
|
||||
|
||||
void AppendTokenPiece(const llama_vocab* vocab, llama_token token,
|
||||
std::string& output) {
|
||||
constexpr size_t initial_buffer_size = 256;
|
||||
@@ -153,116 +47,3 @@ void AppendTokenPiece(const llama_vocab* vocab, llama_token token,
|
||||
throw std::runtime_error(
|
||||
"LlamaGenerator: failed to decode sampled token piece");
|
||||
}
|
||||
|
||||
std::optional<std::string> ValidateBreweryJson(const std::string& raw,
|
||||
BreweryResult& brewery_out) {
|
||||
boost::system::error_code error_code;
|
||||
const std::string_view raw_view(raw);
|
||||
const size_t opening_brace = raw_view.find('{');
|
||||
if (opening_brace == std::string_view::npos) {
|
||||
return "JSON parse error: missing opening brace '{'";
|
||||
}
|
||||
|
||||
const std::string_view json_payload = raw_view.substr(opening_brace);
|
||||
boost::json::value json_value = boost::json::parse(json_payload, error_code);
|
||||
if (error_code) {
|
||||
return "JSON parse error: " + error_code.message();
|
||||
}
|
||||
|
||||
if (!json_value.is_object()) {
|
||||
return "JSON root must be an object";
|
||||
}
|
||||
|
||||
const auto& obj = json_value.get_object();
|
||||
if (obj.size() != 4) {
|
||||
return "JSON object must contain exactly four keys";
|
||||
}
|
||||
|
||||
std::string validation_error;
|
||||
if (!ReadRequiredTrimmedStringField(obj, "name_en", brewery_out.name_en,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
if (!ReadRequiredTrimmedStringField(obj, "description_en",
|
||||
brewery_out.description_en,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
if (!ReadRequiredTrimmedStringField(
|
||||
obj, "name_local", brewery_out.name_local, &validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
if (!ReadRequiredTrimmedStringField(obj, "description_local",
|
||||
brewery_out.description_local,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
const std::array schema_placeholders = {
|
||||
&brewery_out.name_en, &brewery_out.description_en,
|
||||
&brewery_out.name_local, &brewery_out.description_local};
|
||||
if (HasSchemaPlaceholder(schema_placeholders)) {
|
||||
return "JSON appears to be a schema placeholder, not content";
|
||||
}
|
||||
|
||||
return std::nullopt;
|
||||
}
|
||||
|
||||
std::optional<std::string> ValidateUserJson(const std::string& raw,
|
||||
UserResult& user_out) {
|
||||
boost::system::error_code error_code;
|
||||
const std::string_view raw_view(raw);
|
||||
const size_t opening_brace = raw_view.find('{');
|
||||
if (opening_brace == std::string_view::npos) {
|
||||
return "JSON parse error: missing opening brace '{'";
|
||||
}
|
||||
|
||||
const std::string_view json_payload = raw_view.substr(opening_brace);
|
||||
boost::json::value json_value = boost::json::parse(json_payload, error_code);
|
||||
if (error_code) {
|
||||
return "JSON parse error: " + error_code.message();
|
||||
}
|
||||
|
||||
if (!json_value.is_object()) {
|
||||
return "JSON root must be an object";
|
||||
}
|
||||
|
||||
const auto& obj = json_value.get_object();
|
||||
if (obj.size() != 3) {
|
||||
return "JSON object must contain exactly three keys";
|
||||
}
|
||||
|
||||
std::string validation_error;
|
||||
if (!ReadRequiredTrimmedStringField(obj, "username", user_out.username,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
if (!ReadRequiredTrimmedStringField(obj, "bio", user_out.bio,
|
||||
&validation_error)) {
|
||||
return validation_error;
|
||||
}
|
||||
|
||||
const boost::json::value* activity_weight_field =
|
||||
obj.if_contains("activity_weight");
|
||||
if (activity_weight_field == nullptr ||
|
||||
!activity_weight_field->is_number()) {
|
||||
return "Missing or invalid numeric field: activity_weight";
|
||||
}
|
||||
|
||||
const double activity_weight = activity_weight_field->to_number<double>();
|
||||
if (activity_weight < 0.0 || activity_weight > 1.0) {
|
||||
return "activity_weight must be between 0 and 1";
|
||||
}
|
||||
user_out.activity_weight = static_cast<float>(activity_weight);
|
||||
|
||||
const std::array schema_placeholders = {&user_out.username, &user_out.bio};
|
||||
if (HasSchemaPlaceholder(schema_placeholders)) {
|
||||
return "JSON appears to be a schema placeholder, not content";
|
||||
}
|
||||
|
||||
return std::nullopt;
|
||||
}
|
||||
|
||||
@@ -0,0 +1,182 @@
|
||||
/**
|
||||
* @file data_generation/openai/call_chat_completions_api.cc
|
||||
* @brief OpenAIGenerator::CallChatCompletionsApi() -- builds and sends a
|
||||
* single OpenAI Chat Completions request with a Structured Outputs JSON
|
||||
* schema, and extracts the resulting message content.
|
||||
*
|
||||
* API docs last accessed 2026-08-23.
|
||||
* Docs: https://platform.openai.com/docs/api-reference/chat/create
|
||||
* Structured Outputs: https://platform.openai.com/docs/guides/structured-outputs
|
||||
*/
|
||||
|
||||
#include <format>
|
||||
#include <stdexcept>
|
||||
#include <string>
|
||||
#include <string_view>
|
||||
#include <utility>
|
||||
#include <vector>
|
||||
|
||||
#include <boost/json.hpp>
|
||||
|
||||
#include "data_generation/openai_generator.h"
|
||||
|
||||
namespace {
|
||||
// https://platform.openai.com/docs/api-reference/chat/create
|
||||
constexpr std::string_view kChatCompletionsUrl =
|
||||
"https://api.openai.com/v1/chat/completions";
|
||||
} // namespace
|
||||
|
||||
/**
|
||||
* @brief Sends a single Chat Completions request constrained by a JSON
|
||||
* Schema and returns the assistant message's text content.
|
||||
*
|
||||
* Request/response fields follow the Chat Completions API reference:
|
||||
* https://platform.openai.com/docs/api-reference/chat/create
|
||||
* Structured Outputs (response_format, strict mode, refusal field):
|
||||
* https://platform.openai.com/docs/guides/structured-outputs
|
||||
*
|
||||
* @param system_prompt Text sent as the "system" role message.
|
||||
* @param user_prompt Text sent as the "user" role message.
|
||||
* @param json_schema JSON Schema the response must conform to.
|
||||
* @param schema_name Identifier for response_format.json_schema.name.
|
||||
* @param max_tokens Value sent as "max_completion_tokens".
|
||||
* @return The raw JSON string from choices[0].message.content.
|
||||
* @throws std::runtime_error on invalid schema, API error, malformed
|
||||
* response, model refusal, or missing content.
|
||||
*/
|
||||
std::string OpenAIGenerator::CallChatCompletionsApi(
|
||||
const std::string& system_prompt, const std::string& user_prompt,
|
||||
std::string_view json_schema, std::string_view schema_name,
|
||||
int max_tokens) {
|
||||
|
||||
boost::system::error_code schema_error;
|
||||
boost::json::value schema_value =
|
||||
boost::json::parse(json_schema, schema_error);
|
||||
|
||||
bool schema_is_invalid = static_cast<bool>(schema_error);
|
||||
if (schema_is_invalid) {
|
||||
throw std::runtime_error(
|
||||
"OpenAIGenerator: invalid embedded JSON schema: " +
|
||||
schema_error.message());
|
||||
}
|
||||
|
||||
// response_format: https://platform.openai.com/docs/guides/structured-outputs
|
||||
boost::json::object json_schema_wrapper;
|
||||
json_schema_wrapper["name"] = std::string(schema_name);
|
||||
json_schema_wrapper["strict"] = true;
|
||||
json_schema_wrapper["schema"] = std::move(schema_value);
|
||||
|
||||
boost::json::object response_format;
|
||||
response_format["type"] = "json_schema";
|
||||
response_format["json_schema"] = std::move(json_schema_wrapper);
|
||||
|
||||
boost::json::object system_message;
|
||||
system_message["role"] = "system";
|
||||
system_message["content"] = system_prompt;
|
||||
|
||||
boost::json::object user_message;
|
||||
user_message["role"] = "user";
|
||||
user_message["content"] = user_prompt;
|
||||
|
||||
boost::json::array messages;
|
||||
messages.push_back(std::move(system_message));
|
||||
messages.push_back(std::move(user_message));
|
||||
|
||||
boost::json::object request;
|
||||
request["model"] = model_;
|
||||
request["max_completion_tokens"] = max_tokens;
|
||||
request["messages"] = std::move(messages);
|
||||
request["response_format"] = std::move(response_format);
|
||||
|
||||
const std::string body = boost::json::serialize(request);
|
||||
|
||||
const std::vector<std::pair<std::string, std::string>> headers = {
|
||||
{"Authorization", std::format("Bearer {}", api_key_)},
|
||||
};
|
||||
|
||||
const std::string response_body =
|
||||
web_client_->Post(std::string(kChatCompletionsUrl), body, headers);
|
||||
|
||||
boost::system::error_code response_error;
|
||||
boost::json::value response_value =
|
||||
boost::json::parse(response_body, response_error);
|
||||
|
||||
bool response_body_is_invalid = static_cast<bool>(response_error);
|
||||
if (response_body_is_invalid) {
|
||||
throw std::runtime_error(
|
||||
"OpenAIGenerator: failed to parse API response: " +
|
||||
response_error.message());
|
||||
}
|
||||
|
||||
bool response_root_is_not_object = !response_value.is_object();
|
||||
if (response_root_is_not_object) {
|
||||
throw std::runtime_error(
|
||||
"OpenAIGenerator: API response root is not an object");
|
||||
}
|
||||
const auto& response_obj = response_value.get_object();
|
||||
|
||||
// Error object: https://platform.openai.com/docs/api-reference/chat/create
|
||||
const boost::json::value* error_field = response_obj.if_contains("error");
|
||||
|
||||
bool top_level_error_occurred =
|
||||
error_field != nullptr && error_field->is_object();
|
||||
if (top_level_error_occurred) {
|
||||
std::string error_message = "unknown error";
|
||||
if (const boost::json::value* message_field =
|
||||
error_field->get_object().if_contains("message");
|
||||
message_field != nullptr && message_field->is_string()) {
|
||||
error_message = std::string(message_field->as_string());
|
||||
}
|
||||
throw std::runtime_error(
|
||||
std::format("OpenAIGenerator: API request failed: {}", error_message));
|
||||
}
|
||||
|
||||
const boost::json::value* choices_field = response_obj.
|
||||
if_contains("choices");
|
||||
bool choices_field_missing_or_invalid =
|
||||
choices_field == nullptr || !choices_field->is_array() ||
|
||||
choices_field->get_array().empty();
|
||||
|
||||
if (choices_field_missing_or_invalid) {
|
||||
throw std::runtime_error(
|
||||
"OpenAIGenerator: API response missing choices array");
|
||||
}
|
||||
|
||||
const boost::json::value& first_choice = choices_field->get_array().front();
|
||||
bool first_choice_is_not_object = !first_choice.is_object();
|
||||
if (first_choice_is_not_object) {
|
||||
throw std::runtime_error(
|
||||
"OpenAIGenerator: API response choice is not an object");
|
||||
}
|
||||
const auto& choice_obj = first_choice.get_object();
|
||||
|
||||
const boost::json::value* message_field = choice_obj.if_contains("message");
|
||||
bool message_field_missing_or_invalid =
|
||||
message_field == nullptr || !message_field->is_object();
|
||||
if (message_field_missing_or_invalid) {
|
||||
throw std::runtime_error(
|
||||
"OpenAIGenerator: API response choice missing message");
|
||||
}
|
||||
const auto& message_obj = message_field->get_object();
|
||||
|
||||
// Refusal field: https://platform.openai.com/docs/guides/structured-outputs
|
||||
const boost::json::value* refusal_field = message_obj.if_contains("refusal");
|
||||
bool model_refused_request =
|
||||
refusal_field != nullptr && refusal_field->is_string() &&
|
||||
!refusal_field->as_string().empty();
|
||||
if (model_refused_request) {
|
||||
throw std::runtime_error(std::format(
|
||||
"OpenAIGenerator: request refused by safety policies: {}",
|
||||
std::string(refusal_field->as_string())));
|
||||
}
|
||||
|
||||
const boost::json::value* content_field = message_obj.if_contains("content");
|
||||
bool content_field_missing_or_invalid =
|
||||
content_field == nullptr || !content_field->is_string();
|
||||
if (content_field_missing_or_invalid) {
|
||||
throw std::runtime_error(
|
||||
"OpenAIGenerator: API response message had no text content");
|
||||
}
|
||||
|
||||
return std::string(content_field->as_string());
|
||||
}
|
||||
132
tooling/pipeline/src/data_generation/openai/generate_brewery.cc
Normal file
132
tooling/pipeline/src/data_generation/openai/generate_brewery.cc
Normal file
@@ -0,0 +1,132 @@
|
||||
/**
|
||||
* @file data_generation/openai/generate_brewery.cc
|
||||
* @brief Builds brewery prompts with regional context, calls the OpenAI
|
||||
* Chat Completions API, and validates structured JSON output for brewery
|
||||
* records.
|
||||
*/
|
||||
|
||||
#include <format>
|
||||
#include <optional>
|
||||
#include <stdexcept>
|
||||
#include <string>
|
||||
#include <vector>
|
||||
|
||||
#include "data_generation/generation_json_validation.h"
|
||||
#include "data_generation/openai_generator.h"
|
||||
#include "data_generation/openai_json_schemas.h"
|
||||
|
||||
namespace {
|
||||
|
||||
std::string FormatLocalLanguageCodes(
|
||||
const std::vector<std::string>& codes) {
|
||||
if (codes.empty()) {
|
||||
return "Not provided";
|
||||
}
|
||||
|
||||
std::string formatted;
|
||||
for (const std::string& code : codes) {
|
||||
if (!formatted.empty()) {
|
||||
formatted += ", ";
|
||||
}
|
||||
formatted += code;
|
||||
}
|
||||
|
||||
return formatted;
|
||||
}
|
||||
|
||||
constexpr int kBreweryMaxTokens = 2800;
|
||||
|
||||
// Structured outputs already guarantee schema-valid JSON, so retries here
|
||||
// are only for transient failures or the model returning placeholder text
|
||||
// -- not for malformed JSON shape, unlike LlamaGenerator's grammar-assisted
|
||||
// retry loop.
|
||||
constexpr int kMaxAttempts = 2;
|
||||
|
||||
} // namespace
|
||||
|
||||
BreweryResult OpenAIGenerator::GenerateBrewery(
|
||||
const EnrichedCity& enriched_city) {
|
||||
const City& location = enriched_city.location;
|
||||
const std::string& region_context = enriched_city.region_context;
|
||||
const std::string safe_region_context = PrepareRegionContext(region_context);
|
||||
|
||||
const std::string local_language_codes =
|
||||
FormatLocalLanguageCodes(location.local_languages);
|
||||
|
||||
/**
|
||||
* Load brewery system prompt via the injected prompt directory. The
|
||||
* same file LlamaGenerator uses -- the prompt content is backend
|
||||
* agnostic.
|
||||
*/
|
||||
const std::string system_prompt =
|
||||
prompt_directory_->Load("BREWERY_GENERATION");
|
||||
|
||||
std::string user_prompt = std::format(
|
||||
"## CITY:\n{}\n\n## COUNTRY:\n{}\n\n## LOCAL LANGUAGE CODES:\n{}\n\n## "
|
||||
"CONTEXT:\n{}",
|
||||
location.city, location.country, local_language_codes,
|
||||
safe_region_context);
|
||||
|
||||
const std::string retry_location =
|
||||
std::format("City: {}, {}\nLocal language codes: {}", location.city,
|
||||
location.country, local_language_codes);
|
||||
|
||||
std::string raw;
|
||||
std::string last_error;
|
||||
|
||||
for (int attempt = 0; attempt < kMaxAttempts; ++attempt) {
|
||||
raw = CallChatCompletionsApi(system_prompt, user_prompt,
|
||||
kBreweryJsonSchema, "brewery_result",
|
||||
kBreweryMaxTokens);
|
||||
if (logger_) {
|
||||
logger_->Log({.level = LogLevel::Debug,
|
||||
.phase = PipelinePhase::BreweryAndBeerGeneration,
|
||||
.message = std::format(
|
||||
"OpenAIGenerator: raw output (attempt {}): {}",
|
||||
attempt + 1, raw)});
|
||||
}
|
||||
|
||||
BreweryResult brewery;
|
||||
const std::optional<std::string> validation_error =
|
||||
ValidateBreweryJson(raw, brewery);
|
||||
|
||||
if (!validation_error.has_value()) {
|
||||
if (logger_) {
|
||||
logger_->Log({.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::BreweryAndBeerGeneration,
|
||||
.message = std::format(
|
||||
"OpenAIGenerator: successfully generated "
|
||||
"brewery data on attempt {}",
|
||||
attempt + 1)});
|
||||
}
|
||||
|
||||
return brewery;
|
||||
}
|
||||
|
||||
last_error = *validation_error;
|
||||
if (logger_) {
|
||||
logger_->Log(
|
||||
{.level = LogLevel::Warn,
|
||||
.phase = PipelinePhase::BreweryAndBeerGeneration,
|
||||
.message = std::format(
|
||||
"OpenAIGenerator: malformed brewery JSON (attempt {}): {}",
|
||||
attempt + 1, *validation_error)});
|
||||
}
|
||||
|
||||
user_prompt = std::format(
|
||||
"Your previous response was invalid. Error: {}\nReturn real "
|
||||
"content matching the required schema -- do not return "
|
||||
"placeholder values.\n\n{}",
|
||||
*validation_error, retry_location);
|
||||
}
|
||||
|
||||
if (logger_) {
|
||||
logger_->Log({.level = LogLevel::Error,
|
||||
.phase = PipelinePhase::BreweryAndBeerGeneration,
|
||||
.message = std::format(
|
||||
"OpenAIGenerator: malformed brewery "
|
||||
"response after {} attempts: {}",
|
||||
kMaxAttempts, last_error.empty() ? raw : last_error)});
|
||||
}
|
||||
throw std::runtime_error("OpenAIGenerator: malformed brewery response");
|
||||
}
|
||||
114
tooling/pipeline/src/data_generation/openai/generate_user.cc
Normal file
114
tooling/pipeline/src/data_generation/openai/generate_user.cc
Normal file
@@ -0,0 +1,114 @@
|
||||
/**
|
||||
* @file data_generation/openai/generate_user.cc
|
||||
* @brief Builds persona/name-grounded user prompts, calls the OpenAI Chat
|
||||
* Completions API, and validates structured JSON output for user records.
|
||||
*/
|
||||
|
||||
#include <format>
|
||||
#include <optional>
|
||||
#include <stdexcept>
|
||||
#include <string>
|
||||
|
||||
#include "data_generation/generation_json_validation.h"
|
||||
#include "data_generation/openai_generator.h"
|
||||
#include "data_generation/openai_json_schemas.h"
|
||||
|
||||
namespace {
|
||||
constexpr int kUserMaxTokens = 1200;
|
||||
|
||||
// Structured outputs already guarantee schema-valid JSON, so retries here
|
||||
// are only for transient failures or placeholder text -- not JSON shape.
|
||||
constexpr int kMaxAttempts = 2;
|
||||
} // namespace
|
||||
|
||||
UserResult OpenAIGenerator::GenerateUser(const EnrichedCity& city,
|
||||
const UserPersona& persona,
|
||||
const Name& name) {
|
||||
std::string style_affinities;
|
||||
for (const std::string& style : persona.style_affinities) {
|
||||
if (!style_affinities.empty()) {
|
||||
style_affinities += ", ";
|
||||
}
|
||||
style_affinities += style;
|
||||
}
|
||||
|
||||
const std::string system_prompt = prompt_directory_->Load("USER_GENERATION");
|
||||
|
||||
std::string user_prompt = std::format(
|
||||
"## NAME:\n\n{} {}\n\n"
|
||||
"## GENDER:\n\n{}\n\n"
|
||||
"## CITY:\n\n{}\n\n"
|
||||
"## COUNTRY:\n\n{}\n\n"
|
||||
"## PERSONA:\n\n{}\n\n"
|
||||
"## PERSONA DESCRIPTION:\n\n{}\n\n"
|
||||
"## STYLE AFFINITIES:\n\n{}",
|
||||
name.first_name, name.last_name, name.gender, city.location.city,
|
||||
city.location.country, persona.name, persona.description,
|
||||
style_affinities);
|
||||
|
||||
const std::string retry_context = std::format(
|
||||
"Name: {} {}\nCity: {}, {}\nPersona: {}", name.first_name,
|
||||
name.last_name, city.location.city, city.location.country,
|
||||
persona.name);
|
||||
|
||||
std::string raw;
|
||||
std::string last_error;
|
||||
|
||||
for (int attempt = 0; attempt < kMaxAttempts; ++attempt) {
|
||||
raw = CallChatCompletionsApi(system_prompt, user_prompt, kUserJsonSchema,
|
||||
"user_result", kUserMaxTokens);
|
||||
if (logger_) {
|
||||
logger_->Log({.level = LogLevel::Debug,
|
||||
.phase = PipelinePhase::UserGeneration,
|
||||
.message = std::format(
|
||||
"OpenAIGenerator: raw output (attempt {}): {}",
|
||||
attempt + 1, raw)});
|
||||
}
|
||||
|
||||
UserResult user;
|
||||
const std::optional<std::string> validation_error =
|
||||
ValidateUserJson(raw, user);
|
||||
|
||||
if (!validation_error.has_value()) {
|
||||
if (logger_) {
|
||||
logger_->Log(
|
||||
{.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::UserGeneration,
|
||||
.message = std::format("OpenAIGenerator: successfully "
|
||||
"generated user data on attempt {}",
|
||||
attempt + 1)});
|
||||
}
|
||||
|
||||
user.first_name = name.first_name;
|
||||
user.last_name = name.last_name;
|
||||
user.gender = name.gender;
|
||||
return user;
|
||||
}
|
||||
|
||||
last_error = *validation_error;
|
||||
if (logger_) {
|
||||
logger_->Log(
|
||||
{.level = LogLevel::Warn,
|
||||
.phase = PipelinePhase::UserGeneration,
|
||||
.message = std::format(
|
||||
"OpenAIGenerator: malformed user JSON (attempt {}): {}",
|
||||
attempt + 1, *validation_error)});
|
||||
}
|
||||
|
||||
user_prompt = std::format(
|
||||
"Your previous response was invalid. Error: {}\nReturn real "
|
||||
"content matching the required schema -- do not return "
|
||||
"placeholder values.\n\n{}",
|
||||
*validation_error, retry_context);
|
||||
}
|
||||
|
||||
if (logger_) {
|
||||
logger_->Log({.level = LogLevel::Error,
|
||||
.phase = PipelinePhase::UserGeneration,
|
||||
.message = std::format(
|
||||
"OpenAIGenerator: malformed user response "
|
||||
"after {} attempts: {}",
|
||||
kMaxAttempts, last_error.empty() ? raw : last_error)});
|
||||
}
|
||||
throw std::runtime_error("OpenAIGenerator: malformed user response");
|
||||
}
|
||||
@@ -0,0 +1,20 @@
|
||||
/**
|
||||
* @file data_generation/openai/openai_generator.cc
|
||||
* @brief OpenAIGenerator constructor.
|
||||
*/
|
||||
|
||||
#include <memory>
|
||||
#include <string>
|
||||
#include <utility>
|
||||
|
||||
#include "data_generation/openai_generator.h"
|
||||
|
||||
OpenAIGenerator::OpenAIGenerator(
|
||||
std::string api_key, std::string model, std::shared_ptr<ILogger> logger,
|
||||
std::unique_ptr<IPromptDirectory> prompt_directory,
|
||||
std::unique_ptr<WebClient> web_client)
|
||||
: api_key_(std::move(api_key)),
|
||||
model_(std::move(model)),
|
||||
logger_(std::move(logger)),
|
||||
prompt_directory_(std::move(prompt_directory)),
|
||||
web_client_(std::move(web_client)) {}
|
||||
@@ -67,7 +67,7 @@ int main(const int argc, char** argv) {
|
||||
|
||||
std::unique_ptr<IPromptDirectory> prompt_directory;
|
||||
|
||||
if (!options.generator.use_mocked) {
|
||||
if (options.generator.mode != GeneratorMode::kMock) {
|
||||
try {
|
||||
prompt_directory = std::make_unique<PromptDirectory>(
|
||||
options.pipeline.prompt_dir, log_producer);
|
||||
@@ -90,7 +90,7 @@ int main(const int argc, char** argv) {
|
||||
di::bind<IPostalCodeService>().to(
|
||||
[options,
|
||||
&log_producer]() -> std::unique_ptr<IPostalCodeService> {
|
||||
if (options.generator.use_mocked) {
|
||||
if (options.generator.mode == GeneratorMode::kMock) {
|
||||
log_producer->Log(
|
||||
{.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
@@ -110,13 +110,13 @@ int main(const int argc, char** argv) {
|
||||
di::bind<ICuratedDataService>().to(
|
||||
[options,
|
||||
&log_producer]() -> std::unique_ptr<ICuratedDataService> {
|
||||
if (options.generator.use_mocked) {
|
||||
log_producer->Log({.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
.message = "Curated data: mock"});
|
||||
|
||||
return std::make_unique<MockCuratedDataService>();
|
||||
}
|
||||
// if (options.generator.mode == GeneratorMode::kMock) {
|
||||
// log_producer->Log({.level = LogLevel::Info,
|
||||
// .phase = PipelinePhase::Startup,
|
||||
// .message = "Curated data: mock"});
|
||||
//
|
||||
// return std::make_unique<MockCuratedDataService>();
|
||||
// }
|
||||
|
||||
log_producer->Log({.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
@@ -131,13 +131,12 @@ int main(const int argc, char** argv) {
|
||||
});
|
||||
}),
|
||||
di::bind<IPromptFormatter>().to([options, log_producer] {
|
||||
if (options.generator.use_mocked) {
|
||||
{
|
||||
log_producer->Log(
|
||||
{.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
.message = "Prompt formatter: none (mock mode)"});
|
||||
}
|
||||
if (options.generator.mode != GeneratorMode::kLlama) {
|
||||
log_producer->Log(
|
||||
{.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
.message = "Prompt formatter: none (not needed outside "
|
||||
"Llama mode)"});
|
||||
return std::unique_ptr<IPromptFormatter>(nullptr);
|
||||
}
|
||||
{
|
||||
@@ -151,7 +150,7 @@ int main(const int argc, char** argv) {
|
||||
std::make_unique<Gemma4JinjaPromptFormatter>());
|
||||
}),
|
||||
di::bind<WebClient>().to([options, log_producer] {
|
||||
if (options.generator.use_mocked) {
|
||||
if (options.generator.mode == GeneratorMode::kMock) {
|
||||
{
|
||||
log_producer->Log(
|
||||
{.level = LogLevel::Info,
|
||||
@@ -171,7 +170,7 @@ int main(const int argc, char** argv) {
|
||||
di::bind<IEnrichmentService>().to(
|
||||
[options, &log_producer](
|
||||
const auto& inj) -> std::unique_ptr<IEnrichmentService> {
|
||||
if (options.generator.use_mocked) {
|
||||
if (options.generator.mode == GeneratorMode::kMock) {
|
||||
log_producer->Log({.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
.message = "Enrichment: mock"});
|
||||
@@ -191,7 +190,7 @@ int main(const int argc, char** argv) {
|
||||
[&options, &model_path, &sampling, &prompt_directory,
|
||||
&log_producer](
|
||||
const auto& inj) -> std::unique_ptr<DataGenerator> {
|
||||
if (options.generator.use_mocked) {
|
||||
if (options.generator.mode == GeneratorMode::kMock) {
|
||||
log_producer->Log({.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
.message = "Generator: mock"});
|
||||
@@ -199,10 +198,25 @@ int main(const int argc, char** argv) {
|
||||
return std::make_unique<MockGenerator>();
|
||||
}
|
||||
|
||||
if (options.generator.mode == GeneratorMode::kOpenAI) {
|
||||
log_producer->Log(
|
||||
{.level = LogLevel::Info,
|
||||
.phase = PipelinePhase::Startup,
|
||||
.message = std::format(
|
||||
"Generator: OpenAIGenerator | model={}",
|
||||
options.generator.openai_model)});
|
||||
|
||||
return std::make_unique<OpenAIGenerator>(
|
||||
options.generator.openai_api_key,
|
||||
options.generator.openai_model, log_producer,
|
||||
std::move(prompt_directory),
|
||||
inj.template create<std::unique_ptr<WebClient>>());
|
||||
}
|
||||
|
||||
#ifdef BIERGARTEN_MOCK_ONLY
|
||||
// Unreachable: ParseArguments requires --mocked when
|
||||
// BIERGARTEN_MOCK_ONLY is compiled in, so LlamaGenerator is
|
||||
// never constructed and is not linked into this binary.
|
||||
// Only reachable when mode == Llama: Mock and OpenAI are
|
||||
// handled above and don't need llama.cpp, but LlamaGenerator
|
||||
// itself is not linked into a BIERGARTEN_MOCK_ONLY build.
|
||||
throw std::runtime_error(
|
||||
"LlamaGenerator is unavailable in a BIERGARTEN_MOCK_ONLY "
|
||||
"build");
|
||||
|
||||
@@ -30,6 +30,16 @@ static std::string ReadRequiredString(const boost::json::object& object,
|
||||
return std::string(text);
|
||||
}
|
||||
|
||||
static double ReadRequiredDouble(const boost::json::object& object,
|
||||
const char* key) {
|
||||
const boost::json::value* value = object.if_contains(key);
|
||||
if (value == nullptr || !value->is_double()) {
|
||||
throw std::runtime_error(
|
||||
std::format("Missing or invalid double field: {}", key));
|
||||
}
|
||||
return value->as_double();
|
||||
}
|
||||
|
||||
static std::vector<std::string> ReadRequiredStringArray(
|
||||
const boost::json::object& object, const char* key) {
|
||||
const boost::json::value* value = object.if_contains(key);
|
||||
@@ -67,7 +77,6 @@ static PostalCodeSpec ReadPostalCodeSpec(const boost::json::object& object) {
|
||||
}
|
||||
|
||||
namespace {
|
||||
|
||||
boost::json::value ParseJsonFile(const std::filesystem::path& filepath,
|
||||
const char* what) {
|
||||
std::ifstream input(filepath);
|
||||
@@ -108,7 +117,6 @@ std::string ReadFirstOfStringArray(const boost::json::object& object,
|
||||
throw std::runtime_error(
|
||||
std::format("Missing or invalid string array field: {}", key));
|
||||
}
|
||||
|
||||
} // namespace
|
||||
|
||||
CuratedJsonDataService::CuratedJsonDataService(CuratedDataFilePaths filepaths)
|
||||
@@ -144,6 +152,8 @@ const LocationsList& CuratedJsonDataService::LoadLocations() {
|
||||
.iso3166_2 = ReadRequiredString(object, "iso3166_2"),
|
||||
.country = ReadRequiredString(object, "country"),
|
||||
.iso3166_1 = ReadRequiredString(object, "iso3166_1"),
|
||||
.latitude = ReadRequiredDouble(object, "latitude"),
|
||||
.longitude = ReadRequiredDouble(object, "longitude"),
|
||||
.local_languages = ReadRequiredStringArray(object, "local_languages"),
|
||||
.postal_code = ReadPostalCodeSpec(object),
|
||||
});
|
||||
@@ -267,4 +277,4 @@ const SurnamesByCountryMap& CuratedJsonDataService::LoadSurnamesByCountry() {
|
||||
|
||||
cache_.surnames_by_country = std::move(surnames_by_country);
|
||||
return cache_.surnames_by_country;
|
||||
}
|
||||
}
|
||||
@@ -66,6 +66,18 @@ sqlite3_int64 SqliteExportService::ResolveCityId(const City& city) {
|
||||
.index = sqlite_export_service_internal::kCityIso31661BindIndex,
|
||||
.value = city.iso3166_1,
|
||||
.action = "Failed to bind SQLite city ISO 3166-1 code"});
|
||||
sqlite_export_service_internal::Bind(
|
||||
insert_city_stmt_,
|
||||
sqlite_export_service_internal::BoundParam<double>{
|
||||
.index = sqlite_export_service_internal::kCityLongitudeBindIndex,
|
||||
.value = city.longitude,
|
||||
.action = "Failed to bind SQLite city longitude"});
|
||||
sqlite_export_service_internal::Bind(
|
||||
insert_city_stmt_,
|
||||
sqlite_export_service_internal::BoundParam<double>{
|
||||
.index = sqlite_export_service_internal::kCityLatitudeBindIndex,
|
||||
.value = city.latitude,
|
||||
.action = "Failed to bind SQLite city latitude"});
|
||||
sqlite_export_service_internal::Bind(
|
||||
insert_city_stmt_,
|
||||
sqlite_export_service_internal::BoundParam<std::string_view>{
|
||||
@@ -165,6 +177,20 @@ uint64_t SqliteExportService::ProcessRecord(const BreweryRecord& brewery) {
|
||||
kBreweryAddressPostalCodeBindIndex,
|
||||
.value = brewery.address.postal_code,
|
||||
.action = "Failed to bind SQLite brewery address postal code"});
|
||||
sqlite_export_service_internal::Bind(
|
||||
insert_brewery_address_stmt_,
|
||||
sqlite_export_service_internal::BoundParam<double>{
|
||||
.index = sqlite_export_service_internal::
|
||||
kBreweryAddressLongitudeBindIndex,
|
||||
.value = brewery.address.longitude,
|
||||
.action = "Failed to bind SQLite brewery address longitude"});
|
||||
sqlite_export_service_internal::Bind(
|
||||
insert_brewery_address_stmt_,
|
||||
sqlite_export_service_internal::BoundParam<double>{
|
||||
.index = sqlite_export_service_internal::
|
||||
kBreweryAddressLatitudeBindIndex,
|
||||
.value = brewery.address.latitude,
|
||||
.action = "Failed to bind SQLite brewery address latitude"});
|
||||
|
||||
sqlite_export_service_internal::StepStatement(
|
||||
db_handle_, insert_brewery_address_stmt_,
|
||||
|
||||
@@ -13,6 +13,7 @@
|
||||
#include <stdexcept>
|
||||
#include <string>
|
||||
#include <utility>
|
||||
#include <vector>
|
||||
|
||||
#include "services/logging/logger.h"
|
||||
|
||||
@@ -67,6 +68,44 @@ std::string HttpWebClient::Get(const std::string& url) {
|
||||
return result->body;
|
||||
}
|
||||
|
||||
std::string HttpWebClient::Post(
|
||||
const std::string& url, const std::string& body,
|
||||
const std::vector<std::pair<std::string, std::string>>& headers) {
|
||||
const auto [origin, path] = SplitUrl(url);
|
||||
|
||||
httplib::Client client(origin);
|
||||
client.set_follow_location(true);
|
||||
client.set_connection_timeout(kConnectionTimeoutSeconds);
|
||||
client.set_read_timeout(kReadTimeoutSeconds);
|
||||
|
||||
httplib::Headers httplib_headers;
|
||||
for (const auto& [name, value] : headers) {
|
||||
httplib_headers.emplace(name, value);
|
||||
}
|
||||
|
||||
const httplib::Result result =
|
||||
client.Post(path, httplib_headers, body, "application/json");
|
||||
|
||||
if (!result) {
|
||||
throw std::runtime_error(
|
||||
std::format("[HttpWebClient] Request failed for URL: {} — {}", url,
|
||||
httplib::to_string(result.error())));
|
||||
}
|
||||
|
||||
if (result->status < kSuccessMin || result->status >= kSuccessMax) {
|
||||
if (logger_) {
|
||||
logger_->Log({.level = LogLevel::Error,
|
||||
.phase = PipelinePhase::Enrichment,
|
||||
.message = std::format(
|
||||
"[HttpWebClient] Request failed for URL: {}", url)});
|
||||
}
|
||||
throw std::runtime_error(std::format(
|
||||
"[HttpWebClient] HTTP {} for URL: {}", result->status, url));
|
||||
}
|
||||
|
||||
return result->body;
|
||||
}
|
||||
|
||||
std::string HttpWebClient::EncodeURL(const std::string& value) {
|
||||
return httplib::encode_uri_component(value);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user