511 lines
18 KiB
Rust
511 lines
18 KiB
Rust
use module_puzzle::{PuzzleAgentStage, PuzzleAnchorPack, PuzzleAnchorStatus, empty_anchor_pack};
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use platform_llm::LlmClient;
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use serde::{Deserialize, Serialize};
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use serde_json::{Value as JsonValue, json};
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use spacetime_client::{
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PuzzleAgentMessageFinalizeRecordInput, PuzzleAgentMessageRecord, PuzzleAgentSessionRecord,
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};
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use crate::creation_agent_anchor_templates::{
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get_creation_agent_anchor_template, render_anchor_question_block,
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};
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use crate::creation_agent_chat::render_quick_fill_extra_rules;
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use crate::creation_agent_llm_turn::{
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CreationAgentLlmTurnErrorMessages, stream_creation_agent_json_turn,
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};
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#[derive(Clone, Debug)]
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pub(crate) struct PuzzleAgentTurnRequest<'a> {
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pub llm_client: Option<&'a LlmClient>,
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pub session: &'a PuzzleAgentSessionRecord,
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pub quick_fill_requested: bool,
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pub enable_web_search: bool,
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}
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#[derive(Clone, Debug)]
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pub(crate) struct PuzzleAgentTurnResult {
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pub assistant_reply_text: String,
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pub stage: String,
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pub progress_percent: u32,
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pub anchor_pack_json: String,
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pub error_message: Option<String>,
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}
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#[derive(Clone, Debug)]
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pub(crate) struct PuzzleAgentTurnError {
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message: String,
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}
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impl PuzzleAgentTurnError {
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fn new(message: impl Into<String>) -> Self {
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Self {
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message: message.into(),
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}
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}
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}
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impl std::fmt::Display for PuzzleAgentTurnError {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
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f.write_str(&self.message)
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}
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}
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impl std::error::Error for PuzzleAgentTurnError {}
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#[derive(Clone, Debug, Serialize, Deserialize)]
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#[serde(rename_all = "camelCase")]
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struct PuzzleAgentModelOutput {
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reply_text: String,
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progress_percent: u32,
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next_anchor_pack: PuzzleAnchorPack,
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}
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const PUZZLE_AGENT_SYSTEM_PROMPT: &str = r#"你是一个负责和创作者共创拼图画面的中文创意策划。
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你要帮助用户把一句灵感逐步收束成可以发布成拼图关卡的视觉方案。
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你必须同时输出：
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1. 一段直接发给用户的中文回复 replyText
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2. 当前进度 progressPercent
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3. 下一轮完整可用的 nextAnchorPack
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硬约束：
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1. 只能输出 JSON，不能输出代码块或解释
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2. nextAnchorPack 必须是完整对象，不能只输出 patch
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3. replyText 必须是自然中文，不能提“字段”“锚点”“结构”“JSON”等内部词
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4. replyText 一次最多推进一个最关键问题
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5. 如果用户已经给出明确方向，就优先吸收和收束，不要机械反问
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6. progressPercent 范围只能是 0 到 100
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7. status 只能使用 missing / inferred / confirmed / locked
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"#;
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const PUZZLE_AGENT_OUTPUT_CONTRACT: &str = r#"请严格按以下 JSON 输出，不要输出其他文字：
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{
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"replyText": "",
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"progressPercent": 0,
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"nextAnchorPack": {
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"themePromise": {
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"key": "themePromise",
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"label": "题材承诺",
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"value": "",
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"status": "missing"
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},
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"visualSubject": {
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"key": "visualSubject",
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"label": "画面主体",
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"value": "",
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"status": "missing"
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},
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"visualMood": {
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"key": "visualMood",
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"label": "视觉气质",
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"value": "",
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"status": "missing"
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},
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"compositionHooks": {
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"key": "compositionHooks",
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"label": "拼图记忆点",
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"value": "",
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"status": "missing"
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},
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"tagsAndForbidden": {
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"key": "tagsAndForbidden",
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"label": "标签与禁忌",
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"value": "",
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"status": "missing"
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}
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}
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}"#;
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pub(crate) async fn run_puzzle_agent_turn<F>(
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request: PuzzleAgentTurnRequest<'_>,
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on_reply_update: F,
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) -> Result<PuzzleAgentTurnResult, PuzzleAgentTurnError>
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where
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F: FnMut(&str),
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{
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let prompt = build_puzzle_agent_prompt(request.session, request.quick_fill_requested);
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let turn_output = stream_creation_agent_json_turn(
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request.llm_client,
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format!("{PUZZLE_AGENT_SYSTEM_PROMPT}\n\n{prompt}"),
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"请按约定输出这一轮的 JSON。",
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request.enable_web_search,
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CreationAgentLlmTurnErrorMessages {
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model_unavailable: "当前模型不可用，请稍后重试。",
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generation_failed: "拼图聊天生成失败，请稍后重试。",
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parse_failed: "拼图聊天结果解析失败，请稍后重试。",
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},
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on_reply_update,
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PuzzleAgentTurnError::new,
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)
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.await?;
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let output = parse_model_output(&turn_output.parsed)?;
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Ok(PuzzleAgentTurnResult {
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assistant_reply_text: output.reply_text,
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stage: resolve_puzzle_agent_stage(output.progress_percent)
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.as_str()
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.to_string(),
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progress_percent: if request.quick_fill_requested {
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100
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} else {
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output.progress_percent
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},
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anchor_pack_json: serde_json::to_string(&output.next_anchor_pack).unwrap_or_else(|_| {
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serde_json::to_string(&empty_anchor_pack()).unwrap_or_else(|_| "{}".to_string())
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}),
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error_message: None,
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})
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}
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pub(crate) fn build_finalize_record_input(
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session_id: String,
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owner_user_id: String,
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assistant_message_id: String,
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result: PuzzleAgentTurnResult,
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updated_at_micros: i64,
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) -> PuzzleAgentMessageFinalizeRecordInput {
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PuzzleAgentMessageFinalizeRecordInput {
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session_id,
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owner_user_id,
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assistant_message_id: Some(assistant_message_id),
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assistant_reply_text: Some(result.assistant_reply_text),
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stage: result.stage,
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progress_percent: result.progress_percent,
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anchor_pack_json: result.anchor_pack_json,
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error_message: result.error_message,
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updated_at_micros,
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}
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}
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pub(crate) fn build_failed_finalize_record_input(
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session_id: String,
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owner_user_id: String,
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session: &PuzzleAgentSessionRecord,
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error_message: String,
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updated_at_micros: i64,
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) -> PuzzleAgentMessageFinalizeRecordInput {
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let anchor_pack_json = serde_json::to_string(&map_record_anchor_pack(&session.anchor_pack))
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.unwrap_or_else(|_| {
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serde_json::to_string(&empty_anchor_pack()).unwrap_or_else(|_| "{}".to_string())
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});
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PuzzleAgentMessageFinalizeRecordInput {
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session_id,
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owner_user_id,
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assistant_message_id: None,
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assistant_reply_text: None,
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stage: session.stage.clone(),
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progress_percent: session.progress_percent,
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anchor_pack_json,
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error_message: Some(error_message),
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updated_at_micros,
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}
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}
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fn build_puzzle_agent_prompt(
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session: &PuzzleAgentSessionRecord,
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quick_fill_requested: bool,
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) -> String {
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let anchor_question_block = get_creation_agent_anchor_template("puzzle")
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.map(render_anchor_question_block)
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.unwrap_or_else(|| "模板目标：收束成可以发布为拼图关卡的视觉方案。".to_string());
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let quick_fill_rules = if quick_fill_requested {
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format!(
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"\n\n{}",
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render_quick_fill_extra_rules(
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"当前题材方向里的拼图关键词",
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"不要要求用户再提供素材、风格或禁忌",
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"输出完整 nextAnchorPack，直接补齐 value 为空或 status 为 missing 的项",
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"生成结果页",
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)
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)
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} else {
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String::new()
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};
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format!(
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"{anchor_question_block}{quick_fill_rules}\n\n当前是第 {turn} 轮，当前进度 {progress}% 。\n\n是否要求自动补充剩余关键字：{quick_fill_requested_text}\n\n当前 anchor pack：\n{anchor_pack}\n\n最近聊天记录：\n{chat_history}\n\n{contract}",
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anchor_question_block = anchor_question_block,
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quick_fill_rules = quick_fill_rules,
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turn = session.current_turn.saturating_add(1),
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progress = session.progress_percent,
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quick_fill_requested_text = if quick_fill_requested { "是" } else { "否" },
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anchor_pack = serde_json::to_string_pretty(&map_record_anchor_pack(&session.anchor_pack))
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.unwrap_or_else(|_| "{}".to_string()),
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chat_history =
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serde_json::to_string_pretty(&build_chat_history(session.messages.as_slice()))
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.unwrap_or_else(|_| "[]".to_string()),
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contract = PUZZLE_AGENT_OUTPUT_CONTRACT,
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)
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}
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fn build_chat_history(messages: &[PuzzleAgentMessageRecord]) -> Vec<JsonValue> {
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messages
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.iter()
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.map(|message| {
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json!({
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"role": message.role,
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"kind": message.kind,
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"content": message.text,
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})
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})
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.collect()
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}
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fn parse_model_output(parsed: &JsonValue) -> Result<PuzzleAgentModelOutput, PuzzleAgentTurnError> {
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let reply_text = parsed
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.get("replyText")
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.and_then(JsonValue::as_str)
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.map(str::trim)
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.filter(|value| !value.is_empty())
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.ok_or_else(|| PuzzleAgentTurnError::new("拼图聊天结果缺少有效回复，请稍后重试。"))?
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.to_string();
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let progress_percent = parsed
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.get("progressPercent")
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.and_then(JsonValue::as_u64)
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.map(|value| value.min(100) as u32)
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.unwrap_or(0);
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let next_anchor_pack_value = parsed
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.get("nextAnchorPack")
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.cloned()
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.ok_or_else(|| PuzzleAgentTurnError::new("拼图聊天结果缺少 nextAnchorPack。"))?;
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let next_anchor_pack = parse_model_anchor_pack(&next_anchor_pack_value)?;
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Ok(PuzzleAgentModelOutput {
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reply_text,
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progress_percent,
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next_anchor_pack,
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})
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}
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fn parse_model_anchor_pack(value: &JsonValue) -> Result<PuzzleAnchorPack, PuzzleAgentTurnError> {
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Ok(PuzzleAnchorPack {
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// LLM 输出契约面向前端与 prompt，使用 camelCase；Rust 领域模型仍保持 snake_case，
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// 因此这里显式做边界翻译，避免把 JSON 命名差异扩散到领域 crate。
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theme_promise: parse_model_anchor_item(value, "themePromise")?,
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visual_subject: parse_model_anchor_item(value, "visualSubject")?,
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visual_mood: parse_model_anchor_item(value, "visualMood")?,
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composition_hooks: parse_model_anchor_item(value, "compositionHooks")?,
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tags_and_forbidden: parse_model_anchor_item(value, "tagsAndForbidden")?,
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})
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}
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fn parse_model_anchor_item(
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pack: &JsonValue,
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field_name: &str,
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) -> Result<module_puzzle::PuzzleAnchorItem, PuzzleAgentTurnError> {
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let value = pack.get(field_name).ok_or_else(|| {
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PuzzleAgentTurnError::new(format!("拼图 anchor pack 缺少 {field_name}。"))
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})?;
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let key = value
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.get("key")
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.and_then(JsonValue::as_str)
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.map(str::trim)
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.filter(|text| !text.is_empty())
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.unwrap_or(field_name)
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.to_string();
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let label = value
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.get("label")
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.and_then(JsonValue::as_str)
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.map(str::trim)
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.filter(|text| !text.is_empty())
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.unwrap_or_else(|| default_puzzle_anchor_label(field_name))
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.to_string();
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let item_value = value
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.get("value")
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.and_then(JsonValue::as_str)
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.map(str::trim)
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.unwrap_or_default()
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.to_string();
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let status = value
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.get("status")
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.and_then(JsonValue::as_str)
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.map(parse_anchor_status)
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.unwrap_or(PuzzleAnchorStatus::Missing);
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Ok(module_puzzle::PuzzleAnchorItem {
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key,
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label,
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value: item_value,
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status,
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})
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}
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fn default_puzzle_anchor_label(field_name: &str) -> &'static str {
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match field_name {
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"themePromise" => "题材承诺",
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"visualSubject" => "画面主体",
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"visualMood" => "视觉气质",
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"compositionHooks" => "拼图记忆点",
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"tagsAndForbidden" => "标签与禁忌",
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_ => "拼图锚点",
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}
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}
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fn resolve_puzzle_agent_stage(progress_percent: u32) -> PuzzleAgentStage {
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if progress_percent >= 85 {
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PuzzleAgentStage::DraftReady
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} else {
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PuzzleAgentStage::CollectingAnchors
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}
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}
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fn map_record_anchor_pack(record: &spacetime_client::PuzzleAnchorPackRecord) -> PuzzleAnchorPack {
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PuzzleAnchorPack {
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theme_promise: map_record_anchor_item(&record.theme_promise),
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visual_subject: map_record_anchor_item(&record.visual_subject),
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visual_mood: map_record_anchor_item(&record.visual_mood),
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composition_hooks: map_record_anchor_item(&record.composition_hooks),
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tags_and_forbidden: map_record_anchor_item(&record.tags_and_forbidden),
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}
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}
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fn map_record_anchor_item(
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record: &spacetime_client::PuzzleAnchorItemRecord,
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) -> module_puzzle::PuzzleAnchorItem {
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module_puzzle::PuzzleAnchorItem {
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key: record.key.clone(),
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label: record.label.clone(),
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value: record.value.clone(),
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status: parse_anchor_status(record.status.as_str()),
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}
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}
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fn parse_anchor_status(value: &str) -> PuzzleAnchorStatus {
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match value {
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"confirmed" => PuzzleAnchorStatus::Confirmed,
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"locked" => PuzzleAnchorStatus::Locked,
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"inferred" => PuzzleAnchorStatus::Inferred,
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_ => PuzzleAnchorStatus::Missing,
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}
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}
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#[cfg(test)]
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mod tests {
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use module_puzzle::PuzzleAnchorStatus;
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use serde_json::json;
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use super::{build_puzzle_agent_prompt, parse_model_output};
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use crate::creation_agent_llm_turn::extract_reply_text_from_partial_json;
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fn empty_session_record() -> spacetime_client::PuzzleAgentSessionRecord {
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spacetime_client::PuzzleAgentSessionRecord {
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session_id: "puzzle-session-test".to_string(),
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current_turn: 2,
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progress_percent: 60,
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stage: "collecting_anchors".to_string(),
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anchor_pack: spacetime_client::PuzzleAnchorPackRecord {
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theme_promise: spacetime_client::PuzzleAnchorItemRecord {
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key: "themePromise".to_string(),
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label: "题材承诺".to_string(),
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value: "雨夜猫咪遗迹".to_string(),
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status: "confirmed".to_string(),
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},
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visual_subject: spacetime_client::PuzzleAnchorItemRecord {
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key: "visualSubject".to_string(),
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label: "画面主体".to_string(),
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value: String::new(),
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status: "missing".to_string(),
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},
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visual_mood: spacetime_client::PuzzleAnchorItemRecord {
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key: "visualMood".to_string(),
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label: "视觉气质".to_string(),
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value: String::new(),
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status: "missing".to_string(),
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},
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composition_hooks: spacetime_client::PuzzleAnchorItemRecord {
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key: "compositionHooks".to_string(),
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label: "拼图记忆点".to_string(),
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value: String::new(),
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status: "missing".to_string(),
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},
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tags_and_forbidden: spacetime_client::PuzzleAnchorItemRecord {
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key: "tagsAndForbidden".to_string(),
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label: "标签与禁忌".to_string(),
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value: String::new(),
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status: "missing".to_string(),
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},
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},
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draft: None,
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messages: Vec::new(),
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last_assistant_reply: None,
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published_profile_id: None,
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suggested_actions: Vec::new(),
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result_preview: None,
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updated_at: "2026-04-24T10:00:00.000Z".to_string(),
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}
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}
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#[test]
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fn extract_reply_text_from_partial_json_preserves_chinese_characters() {
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let partial_json = r#"{"replyText":"夜雨猫咪遗迹","progressPercent":42"#;
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let extracted = extract_reply_text_from_partial_json(partial_json);
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assert_eq!(extracted.as_deref(), Some("夜雨猫咪遗迹"));
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}
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#[test]
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fn parse_model_output_accepts_camel_case_anchor_pack_contract() {
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let model_output = json!({
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"replyText": "我先把雨夜猫咪的方向收住。",
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"progressPercent": 46,
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"nextAnchorPack": {
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"themePromise": {
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"key": "themePromise",
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"label": "题材承诺",
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"value": "雨夜中的奇幻探索",
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"status": "confirmed"
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},
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"visualSubject": {
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"key": "visualSubject",
|
||
"label": "画面主体",
|
||
"value": "发光猫咪站在遗迹台阶上",
|
||
"status": "confirmed"
|
||
},
|
||
"visualMood": {
|
||
"key": "visualMood",
|
||
"label": "视觉气质",
|
||
"value": "潮湿、梦幻、带轻微悬疑",
|
||
"status": "inferred"
|
||
},
|
||
"compositionHooks": {
|
||
"key": "compositionHooks",
|
||
"label": "拼图记忆点",
|
||
"value": "台阶透视、倒影、远处遗迹门洞",
|
||
"status": "inferred"
|
||
},
|
||
"tagsAndForbidden": {
|
||
"key": "tagsAndForbidden",
|
||
"label": "标签与禁忌",
|
||
"value": "雨夜、猫咪、神庙遗迹；禁止文字水印",
|
||
"status": "inferred"
|
||
}
|
||
}
|
||
});
|
||
|
||
let parsed = parse_model_output(&model_output).expect("camelCase 契约应能解析");
|
||
|
||
assert_eq!(parsed.progress_percent, 46);
|
||
assert_eq!(
|
||
parsed.next_anchor_pack.theme_promise.value,
|
||
"雨夜中的奇幻探索"
|
||
);
|
||
assert_eq!(
|
||
parsed.next_anchor_pack.theme_promise.status,
|
||
PuzzleAnchorStatus::Confirmed
|
||
);
|
||
assert_eq!(
|
||
parsed.next_anchor_pack.tags_and_forbidden.value,
|
||
"雨夜、猫咪、神庙遗迹；禁止文字水印"
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn quick_fill_prompt_forbids_follow_up_questions() {
|
||
let prompt = build_puzzle_agent_prompt(&empty_session_record(), true);
|
||
|
||
assert!(prompt.contains("用户刚刚主动要求你自动补充剩余关键字"));
|
||
assert!(prompt.contains("不要再继续提问"));
|
||
assert!(prompt.contains("progressPercent 直接输出为 100"));
|
||
}
|
||
}
|