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the-biergarten-app/tooling/pipeline/src/data_generation/llama/generate_user.cc
Aaron Po 75e0b1aa94 format
2026-06-21 13:13:02 -04:00

124 lines
4.5 KiB
C++

/**
* @file data_generation/llama/generate_user.cc
* @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/llama_generator.h"
#include "data_generation/llama_generator_helpers.h"
// GBNF grammar for structured user JSON output.
static constexpr std::string_view kUserJsonGrammar = R"json_user(
root ::= thought-block "{" ws "\"username\"" ws ":" ws string ws "," ws "\"bio\"" ws ":" ws string ws "," ws "\"activity_weight\"" ws ":" ws number 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]
number ::= "-"? ("0" | [1-9] [0-9]*) ("." [0-9]+)?
)json_user";
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## GENDER:\n{}\n\n## CITY:\n{}\n\n## "
"COUNTRY:\n{}\n\n"
"## PERSONA:\n{}\n\n## PERSONA DESCRIPTION:\n{}\n\n## STYLE "
"AFFINITIES:\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");
}