Pipeline: Add LLM and mocked user generation to the pipeline (#230)

This commit is contained in:
2026-07-01 07:47:24 -04:00
committed by GitHub
parent 880f73e004
commit 2b8a900d12
90 changed files with 57254 additions and 800 deletions

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@@ -12,6 +12,7 @@
#include <string_view>
#include <vector>
#include "data_generation/json_grammars.h"
#include "data_generation/llama_generator.h"
#include "data_generation/llama_generator_helpers.h"
@@ -32,19 +33,6 @@ static std::string FormatLocalLanguageCodes(
return formatted;
}
// GBNF grammar for structured brewery JSON output.
// @TODO move to a separate gbnf file if it grows in complexity or is shared
// across modules.
static constexpr std::string_view kBreweryJsonGrammar = R"json_brewery(
root ::= thought-block "{" ws "\"name_en\"" ws ":" ws string ws "," ws "\"description_en\"" ws ":" ws string ws "," ws "\"name_local\"" ws ":" ws string ws "," ws "\"description_local\"" ws ":" ws string ws "}" ws
thought-block ::= [^{]*
ws ::= [ \t\n\r]*
string ::= "\"" char+ "\""
char ::= [^"\\\x7F\x00-\x1F] | [\\] escape
escape ::= ["\\/bfnrt] | "u" hex hex hex hex
hex ::= [0-9a-fA-F]
)json_brewery";
static constexpr int kBreweryInitialMaxTokens = 2800;
BreweryResult LlamaGenerator::GenerateBrewery(
@@ -83,15 +71,14 @@ BreweryResult LlamaGenerator::GenerateBrewery(
/**
* RETRY LOOP with validation and error correction
* Attempts to generate valid brewery data up to 3 times, with feedback-based
* refinement
* Attempts to generate valid brewery data up to 3 times, with
* feedback-based refinement
*/
constexpr int max_attempts = 3;
std::string raw;
std::string last_error;
// Token budget: too small risks truncating valid JSON mid-string.
// Start conservatively but allow adaptive increases on truncation.
int max_tokens = kBreweryInitialMaxTokens;
// Limit output length to keep it concise and focused
@@ -104,7 +91,7 @@ BreweryResult LlamaGenerator::GenerateBrewery(
{.level = LogLevel::Debug,
.phase = PipelinePhase::BreweryAndBeerGeneration,
.message = std::format("LlamaGenerator: raw output (attempt {}): {}",
attempt + 1, raw)});
attempt + 1, raw)});
}
// Validate output: parse JSON and check required fields
@@ -120,8 +107,9 @@ BreweryResult LlamaGenerator::GenerateBrewery(
logger_->Log(
{.level = LogLevel::Info,
.phase = PipelinePhase::BreweryAndBeerGeneration,
.message = std::format("LlamaGenerator: successfully generated brewery data on attempt {}",
attempt + 1)});
.message = std::format("LlamaGenerator: successfully generated "
"brewery data on attempt {}",
attempt + 1)});
}
return brewery;
@@ -134,33 +122,38 @@ BreweryResult LlamaGenerator::GenerateBrewery(
logger_->Log(
{.level = LogLevel::Warn,
.phase = PipelinePhase::BreweryAndBeerGeneration,
.message =
std::format("LlamaGenerator: malformed brewery JSON (attempt {}): {}",
.message = std::format(
"LlamaGenerator: malformed brewery JSON (attempt {}): {}",
attempt + 1, *validation_error)});
}
// Update prompt with error details to guide LLM toward correct output.
user_prompt = std::format(
"Your previous response was invalid. Error: {}\nReturn the thought "
"process before the JSON if needed, then return ONLY valid JSON with "
"exactly these keys, in this exact order: {{\"name_en\": \"<English "
"process before the JSON if needed, then return ONLY valid JSON "
"with "
"exactly these keys, in this exact order: {{\"name_en\": "
"\"<English "
"brewery name>\", \"description_en\": \"<English single-paragraph "
"description>\", \"name_local\": \"<local-language brewery name>\", "
"description>\", \"name_local\": \"<local-language brewery "
"name>\", "
"\"description_local\": \"<local-language single-paragraph "
"description>\"}}.\nDo not include markdown, comments, extra keys, or "
"literal placeholder values.\n\nKeep the JSON strings concise enough "
"description>\"}}.\nDo not include markdown, comments, extra keys, "
"or "
"literal placeholder values.\n\nKeep the JSON strings concise "
"enough "
"to fit within the token budget.\n\n{}",
*validation_error, retry_location);
}
// All retry attempts exhausted: log failure and throw exception
if (logger_) {
logger_->Log(
{.level = LogLevel::Error,
.phase = PipelinePhase::BreweryAndBeerGeneration,
.message = std::format(
"LlamaGenerator: malformed brewery response after {} attempts: {}",
max_attempts, last_error.empty() ? raw : last_error)});
logger_->Log({.level = LogLevel::Error,
.phase = PipelinePhase::BreweryAndBeerGeneration,
.message = std::format(
"LlamaGenerator: malformed brewery "
"response after {} attempts: {}",
max_attempts, last_error.empty() ? raw : last_error)});
}
throw std::runtime_error("LlamaGenerator: malformed brewery response");
}

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@@ -1,24 +1,115 @@
/**
* @file data_generation/llama/generate_user.cc
* @brief Generates locale-aware user profiles with strict two-line formatting,
* retry handling, and output sanitization for downstream parsing.
* @brief Builds persona/name-grounded user prompts, performs retry-based
* inference, and validates structured JSON output for user records.
*/
#include <format>
#include <optional>
#include <stdexcept>
#include <string>
#include <string_view>
#include "data_generation/json_grammars.h"
#include "data_generation/llama_generator.h"
#include "data_generation/llama_generator_helpers.h"
// TODO: Implement locale-aware user profile generation.
// Current implementation returns a hardcoded test value and ignores the
// locale parameter. Future implementation should:
// 1. Load a USER_GENERATION.md prompt template with locale context
// 2. Perform LLM inference with locale-specific username/bio generation
// 3. Parse and validate JSON output with retry handling (similar to brewery)
// 4. Return locale-aware username and biography
UserResult LlamaGenerator::GenerateUser(const std::string& locale) {
return {.username = "test_user",
.bio = std::format("This is a test user profile from {}.", locale)};
static constexpr int kUserInitialMaxTokens = 1200;
UserResult LlamaGenerator::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);
constexpr int max_attempts = 3;
std::string raw;
std::string last_error;
int max_tokens = kUserInitialMaxTokens;
for (int attempt = 0; attempt < max_attempts; ++attempt) {
raw = this->Infer(system_prompt, user_prompt, max_tokens, kUserJsonGrammar);
if (logger_) {
logger_->Log(
{.level = LogLevel::Debug,
.phase = PipelinePhase::UserGeneration,
.message = std::format("LlamaGenerator: 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("LlamaGenerator: 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(
"LlamaGenerator: malformed user JSON (attempt {}): {}",
attempt + 1, *validation_error)});
}
user_prompt = std::format(
"Your previous response was invalid. Error: {}\nReturn the thought "
"process before the JSON if needed, then return ONLY valid JSON "
"with "
"exactly these keys, in this exact order: {{\"username\": "
"\"<handle "
"derived from the given name>\", \"bio\": \"<first-person bio "
"grounded in the persona>\", \"activity_weight\": <number between "
"0 "
"and 1>}}.\nDo not include markdown, comments, extra keys, or "
"literal placeholder values.\n\n{}",
*validation_error, retry_context);
}
if (logger_) {
logger_->Log({.level = LogLevel::Error,
.phase = PipelinePhase::UserGeneration,
.message = std::format(
"LlamaGenerator: malformed user response "
"after {} attempts: {}",
max_attempts, last_error.empty() ? raw : last_error)});
}
throw std::runtime_error("LlamaGenerator: malformed user response");
}

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@@ -9,13 +9,16 @@
#include <boost/json.hpp>
#include <cctype>
#include <optional>
#include <span>
#include <stdexcept>
#include <string>
#include <string_view>
#include <vector>
#include <llama.h>
#include "data_generation/llama_generator_helpers.h"
#include "llama.h"
namespace {
/**
* String trimming: removes leading and trailing whitespace
@@ -76,7 +79,7 @@ bool ReadRequiredTrimmedStringField(const boost::json::object& obj,
return !out.empty();
}
bool HasSchemaPlaceholder(const std::array<std::string*, 4>& values) {
bool HasSchemaPlaceholder(std::span<std::string* const> values) {
for (const std::string* value : values) {
std::string lowered = *value;
std::ranges::transform(lowered, lowered.begin(),
@@ -207,3 +210,58 @@ std::optional<std::string> ValidateBreweryJson(const std::string& raw,
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;
}

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@@ -14,9 +14,10 @@
#include <string_view>
#include <vector>
#include <llama.h>
#include "data_generation/llama_generator.h"
#include "data_generation/llama_generator_helpers.h"
#include "llama.h"
static constexpr size_t kPromptTokenSlack = 8;
// Minimum tokens to keep when using top-p sampling. Ensures at least one

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@@ -11,8 +11,9 @@
#include <stdexcept>
#include <string>
#include <llama.h>
#include "data_model/models.h"
#include "llama.h"
static constexpr uint32_t kMaxContextSize = 32768U;

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@@ -10,9 +10,10 @@
#include <string>
#include <utility>
#include <ggml-backend.h>
#include <llama.h>
#include "data_generation/llama_generator.h"
#include "ggml-backend.h"
#include "llama.h"
// Maximum batch size for decode operations. Capping the batch prevents
// excessive memory allocation while maintaining inference performance.

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@@ -14,3 +14,13 @@ size_t MockGenerator::DeterministicHash(const Location& location) {
boost::hash_combine(seed, location.country);
return seed;
}
size_t MockGenerator::DeterministicHash(const Location& location,
const UserPersona& persona,
const Name& name) {
size_t seed = DeterministicHash(location);
boost::hash_combine(seed, persona.name);
boost::hash_combine(seed, name.first_name);
boost::hash_combine(seed, name.last_name);
return seed;
}

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@@ -1,22 +1,31 @@
/**
* @file data_generation/mock/generate_user.cc
* @brief Generates deterministic mock user profiles by hashing locale values
* into predefined username and bio collections.
* @brief Generates deterministic mock user profiles by hashing city, persona,
* and sampled name into predefined username and bio collections.
*/
#include <functional>
#include <string>
#include <string_view>
#include "data_generation/mock_generator.h"
UserResult MockGenerator::GenerateUser(const std::string& locale) {
const size_t hash = std::hash<std::string>{}(locale);
UserResult MockGenerator::GenerateUser(const EnrichedCity& city,
const UserPersona& persona,
const Name& name) {
const size_t hash = DeterministicHash(city.location, persona, name);
UserResult result;
const std::string_view username = kUsernames[hash % kUsernames.size()];
const std::string_view bio = kBios[hash / kBioHashStride % kBios.size()];
result.username = username;
result.bio = bio;
return result;
const float activity_weight =
static_cast<float>(hash / kActivityWeightHashStride %
kActivityWeightHashRange) /
static_cast<float>(kActivityWeightHashRange);
return {
.first_name = name.first_name,
.last_name = name.last_name,
.gender = name.gender,
.username = std::string(username),
.bio = std::string(bio),
.activity_weight = activity_weight,
};
}