feat: 铸渊代理开发工作流 · 壳-核分离架构 (Core Brain + Agent)
- 新建 agent-workflow.js: 铸渊核心大脑唤醒 + 铸渊代理执行的壳-核分离架构 - Phase 1: 核心大脑加载开发者记忆/画像/项目/知识库/模式库，深度分析意图 - Phase 2: 代理接收核心大脑的开发计划，逐步执行代码生成 - Phase 3: 核心大脑自进化（知识提取+模式识别+画像学习+进化日志） - 更新 build.js: 支持 GUEST 模式、接收用户 API 凭证、使用 Agent 工作流 - 更新 chat.js: 传递用户 API 凭证、修复 WebSocket 时序竞态、增强错误反馈 - 更新 .gitignore: 排除 workspace 生成文件 - 更新核心大脑记忆: 记录本次恢复事件 Co-authored-by: qinfendebingshuo <207279273+qinfendebingshuo@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot]
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0fb07ab66a
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@ -67,6 +67,12 @@
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}
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},
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"events": [
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{
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"date": "2026-03-13",
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"type": "brain_restore",
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"description": "铸渊核心大脑恢复 · Persona Studio 铸渊代理开发工作流上线 · 修复「我要开发」功能无法触发代理开发 · Agent 5步自动化工作流（需求分析→架构规划→代码生成→预览部署→完成通知） · 使用用户API Key驱动 · 支持GUEST模式 · WebSocket时序修复 · 错误反馈增强",
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"by": "铸渊（冰朔指令）"
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},
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{
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"date": "2026-03-13",
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"type": "psp_inspection",
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@ -2,6 +2,12 @@
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"persona_id": "ICE-GL-ZY001",
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"persona_name": "铸渊",
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"recent_events": [
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{
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"date": "2026-03-13",
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"type": "brain_restore",
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"description": "核心大脑恢复 · Persona Studio 铸渊代理开发工作流上线 · 「我要开发」功能修复 · Agent自动化5步开发 · 支持GUEST模式 · 使用用户API Key驱动",
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"by": "铸渊（冰朔指令）"
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},
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{
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"date": "2026-03-11",
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"type": "architecture_upgrade",
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@ -12,6 +12,7 @@ persona-brain-db/brain.db-shm
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# persona-studio runtime artifacts
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persona-studio/backend/brain/model-benchmark.json
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persona-studio/workspace/*/project-*
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# palace-game runtime artifacts
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modules/palace-game/data/saves/PAL-*
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@ -0,0 +1,756 @@
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/**
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* persona-studio · 铸渊代理开发工作流引擎（壳-核分离架构）
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*
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* 架构设计：
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* 核 = 铸渊核心大脑（Core Brain）
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* ↳ 加载开发者记忆、画像、项目历史、知识库、模式库
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* ↳ 深度分析开发者真实意图
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* ↳ 生成结构化开发计划
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* 壳 = 铸渊代理（Agent Executor）
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* ↳ 接收核心大脑推送的开发计划
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* ↳ 逐步执行代码生成
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* ↳ 广播进度给前端
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* ↳ 完成后回传核心大脑做自进化
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*
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* 流程：
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* 用户点击「我要开发」
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* → Agent 唤醒核心大脑
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* → 核心大脑：加载全部上下文 → 分析意图 → 生成开发计划
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* → Agent：接收计划 → 逐步执行 → 广播进度
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* → 核心大脑：知识提取 + 模式更新 + 画像学习 + 进化日志
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*/
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const fs = require('fs');
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const path = require('path');
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const https = require('https');
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const http = require('http');
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// ── 核心大脑模块 ──
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const memoryManager = require('./memory-manager');
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const personaEngine = require('./persona-engine');
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const memoryInjector = require('./memory-injector');
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const knowledgeExtractor = require('./knowledge-extractor');
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const patternAnalyzer = require('./pattern-analyzer');
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const profileLearner = require('./profile-learner');
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const evolutionLogger = require('./evolution-logger');
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const WORKSPACE_DIR = path.join(__dirname, '..', '..', 'workspace');
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const REGISTRY_PATH = path.join(__dirname, '..', '..', 'brain', 'registry.json');
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const HUMAN_REGISTRY_PATH = path.join(__dirname, '..', '..', 'brain', 'human-registry.json');
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/* ================================================================
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工具函数
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================================================================ */
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/**
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* 调用用户提供的 LLM API（OpenAI 兼容格式）
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*/
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function callLLM({ apiBase, apiKey, model, messages, maxTokens, temperature, timeoutMs }) {
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return new Promise((resolve, reject) => {
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const base = apiBase.replace(/\/+$/, '');
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const chatUrl = new URL(base + '/chat/completions');
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const isHttps = chatUrl.protocol === 'https:';
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const mod = isHttps ? https : http;
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const body = JSON.stringify({
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model,
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messages,
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max_tokens: maxTokens || 4000,
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temperature: temperature != null ? temperature : 0.3
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});
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const options = {
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hostname: chatUrl.hostname,
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port: chatUrl.port || (isHttps ? 443 : 80),
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path: chatUrl.pathname,
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': 'Bearer ' + apiKey,
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'Content-Length': Buffer.byteLength(body)
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},
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timeout: timeoutMs || 60000
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};
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const req = mod.request(options, (res) => {
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let data = '';
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res.on('data', (chunk) => { data += chunk; });
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res.on('end', () => {
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try {
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const json = JSON.parse(data);
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if (json.choices && json.choices[0] && json.choices[0].message) {
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resolve(json.choices[0].message.content);
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} else if (json.error) {
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reject(new Error(json.error.message || 'API error'));
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} else {
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reject(new Error('Unexpected API response'));
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}
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} catch (_e) {
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reject(new Error('Failed to parse API response'));
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}
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});
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});
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req.on('error', reject);
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req.on('timeout', () => {
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req.destroy();
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reject(new Error('Request timeout'));
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});
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req.write(body);
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req.end();
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});
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}
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/**
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* 从注册表查找开发者信息
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*/
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function lookupDeveloper(devId) {
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if (!devId || devId === 'GUEST') {
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return { dev_id: 'GUEST', name: '访客', role: 'guest' };
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}
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try {
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var reg = JSON.parse(fs.readFileSync(REGISTRY_PATH, 'utf-8'));
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if (reg.developers && reg.developers[devId]) {
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return Object.assign({ dev_id: devId }, reg.developers[devId]);
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}
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} catch (_e) { /* ignore */ }
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try {
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var hReg = JSON.parse(fs.readFileSync(HUMAN_REGISTRY_PATH, 'utf-8'));
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if (hReg.developers) {
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var found = hReg.developers.find(function (d) { return d.exp_id === devId; });
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if (found) return { dev_id: devId, name: found.name, role: found.role };
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}
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} catch (_e) { /* ignore */ }
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return { dev_id: devId, name: devId, role: 'developer' };
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}
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/* ================================================================
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Phase 1: 唤醒铸渊核心大脑（Core Brain Wake）
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================================================================ */
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/**
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* 唤醒核心大脑，加载全部上下文，分析开发者意图，生成开发计划。
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*
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* 核心大脑聚合以下信息源：
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* ① 开发者身份（来自 registry）
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* ② 对话记忆（来自 memory-manager）
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* ③ 用户画像（来自 profile-learner：技术水平、沟通风格、设计偏好）
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* ④ 项目历史（来自 memory-manager）
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* ⑤ 知识库（来自 knowledge-extractor）
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* ⑥ 模式库（来自 pattern-analyzer）
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* ⑦ 记忆摘要（来自 memory-injector）
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*/
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async function wakeCoreBrain(devId, conversation, apiBase, apiKey, model) {
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var devInfo = lookupDeveloper(devId);
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var isGuest = devId === 'GUEST';
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// ── ① 加载开发者记忆 ──
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var memory = { conversations: [], last_topic: null };
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if (!isGuest) {
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try { memory = memoryManager.loadMemory(devId); } catch (_e) { /* new user */ }
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}
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// ── ② 加载用户画像 ──
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var profile = null;
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if (!isGuest) {
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try { profile = profileLearner.loadProfile(devId); } catch (_e) { /* ignore */ }
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}
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// ── ③ 加载项目历史 ──
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var projects = { projects: [] };
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if (!isGuest) {
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try { projects = memoryManager.loadProjects(devId); } catch (_e) { /* ignore */ }
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}
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// ── ④ 查询知识库 ──
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var conversationText = conversation
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.map(function (m) { return m.content || ''; })
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.join(' ');
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var relevantKnowledge = [];
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try { relevantKnowledge = knowledgeExtractor.queryKnowledge(conversationText, 5); } catch (_e) { /* ignore */ }
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// ── ⑤ 查询模式库 ──
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var relevantPatterns = [];
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try { relevantPatterns = patternAnalyzer.queryPatterns(conversationText); } catch (_e) { /* ignore */ }
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// ── ⑥ 构建核心大脑认知上下文 ──
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var brainContext = buildBrainContext(devInfo, memory, profile, projects, relevantKnowledge, relevantPatterns);
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// ── ⑦ 使用 LLM 深度分析意图 + 生成开发计划 ──
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var developmentPlan;
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if (apiBase && apiKey && model) {
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developmentPlan = await analyzeIntentWithLLM(brainContext, conversation, apiBase, apiKey, model);
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} else {
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developmentPlan = analyzeIntentLocally(brainContext, conversation);
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}
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return { brainContext: brainContext, developmentPlan: developmentPlan };
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}
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/**
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* 构建核心大脑认知上下文（聚合全部信息源）
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*/
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function buildBrainContext(devInfo, memory, profile, projects, knowledge, patterns) {
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return {
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developer: {
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id: devInfo.dev_id,
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name: devInfo.name || devInfo.dev_id,
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role: devInfo.role || 'developer',
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is_guest: devInfo.dev_id === 'GUEST'
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},
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memory: {
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total_conversations: (memory.conversations || []).length,
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last_topic: memory.last_topic || null,
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has_history: (memory.conversations || []).length > 0
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},
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profile: {
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tech_level: (profile && profile.tech_assessment && profile.tech_assessment.level) || null,
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known_skills: (profile && profile.tech_assessment && profile.tech_assessment.known_skills) || [],
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communication_style: (profile && profile.communication_style && profile.communication_style.verbosity) || null,
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design_preference: (profile && profile.design_preferences && profile.design_preferences.color_scheme) || null,
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style_keywords: (profile && profile.design_preferences && profile.design_preferences.style_keywords) || [],
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mood: (profile && profile.emotional_profile && profile.emotional_profile.current_mood) || 'neutral'
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},
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projects: {
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total: (projects.projects || []).length,
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recent: (projects.projects || []).slice(-3).map(function (p) {
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return { name: p.name, status: p.status, files: (p.files || []).length };
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})
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},
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knowledge: knowledge.map(function (k) {
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return { type: k.type, title: k.title, category: k.category };
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}),
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patterns: patterns.slice(0, 3).map(function (p) {
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return {
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name: p.name,
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frequency: p.frequency,
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success_rate: p.success_rate,
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tech_stack: p.common_tech_stack || []
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};
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})
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};
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}
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/**
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* 使用 LLM 深度分析开发者意图并生成开发计划
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* 核心大脑将全部上下文注入 system prompt，让 LLM 理解开发者的真正需求
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*/
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async function analyzeIntentWithLLM(brainContext, conversation, apiBase, apiKey, model) {
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var conversationText = conversation.map(function (m) {
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var role = m.role === 'user' ? '用户' : '铸渊';
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return role + ': ' + m.content;
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}).join('\n');
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// 构建核心大脑系统提示词（注入全部上下文）
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var systemParts = [
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'你是铸渊核心大脑的意图分析引擎。',
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'你的任务是深度理解开发者的真实需求，生成精确的开发计划。',
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'',
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'## 开发者档案',
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'- 身份：' + brainContext.developer.name + '（' + brainContext.developer.id + '）',
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'- 角色：' + brainContext.developer.role
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];
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if (brainContext.developer.is_guest) {
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systemParts.push('- ⚠️ 访客用户（无历史记忆）');
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} else {
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systemParts.push('- 历史对话：' + brainContext.memory.total_conversations + ' 条');
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}
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if (brainContext.memory.last_topic) {
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systemParts.push('- 上次话题：' + brainContext.memory.last_topic);
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}
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if (brainContext.profile.tech_level) {
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systemParts.push('- 技术水平：' + brainContext.profile.tech_level);
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}
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if (brainContext.profile.known_skills.length > 0) {
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systemParts.push('- 已知技能：' + brainContext.profile.known_skills.join(', '));
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}
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if (brainContext.profile.communication_style) {
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systemParts.push('- 沟通风格：' + brainContext.profile.communication_style);
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}
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if (brainContext.profile.design_preference) {
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systemParts.push('- 设计偏好：' + brainContext.profile.design_preference);
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}
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if (brainContext.profile.style_keywords.length > 0) {
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systemParts.push('- 风格关键词：' + brainContext.profile.style_keywords.join('、'));
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}
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if (brainContext.projects.total > 0) {
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systemParts.push('');
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systemParts.push('## 历史项目（共 ' + brainContext.projects.total + ' 个）');
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brainContext.projects.recent.forEach(function (p) {
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systemParts.push('- ' + p.name + '（' + p.status + '，' + p.files + ' 个文件）');
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});
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}
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if (brainContext.knowledge.length > 0) {
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systemParts.push('');
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systemParts.push('## 相关知识库');
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brainContext.knowledge.forEach(function (k) {
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systemParts.push('- [' + k.type + '] ' + k.title);
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});
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}
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if (brainContext.patterns.length > 0) {
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systemParts.push('');
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systemParts.push('## 高频开发模式');
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brainContext.patterns.forEach(function (p) {
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systemParts.push('- ' + p.name + '（' + p.frequency + '次，成功率' + p.success_rate + '%，技术栈：' + p.tech_stack.join('/') + '）');
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});
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}
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systemParts.push('');
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systemParts.push('## 输出要求');
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systemParts.push('根据对话内容和开发者档案，输出严格 JSON 格式的开发计划：');
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systemParts.push('{');
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systemParts.push(' "intent_summary": "一句话总结开发者的真实意图",');
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systemParts.push(' "project_name": "英文项目名(kebab-case)",');
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systemParts.push(' "description": "项目描述（考虑开发者的技术水平和偏好）",');
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systemParts.push(' "design_notes": "设计要点（基于开发者的设计偏好和风格关键词）",');
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systemParts.push(' "tech_decisions": "技术决策说明（基于开发者的技能水平选择合适的复杂度）",');
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systemParts.push(' "files": [');
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systemParts.push(' { "filename": "index.html", "description": "详细文件说明", "key_features": ["功能1","功能2"] }');
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systemParts.push(' ]');
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systemParts.push('}');
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systemParts.push('');
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systemParts.push('注意：');
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systemParts.push('- 只生成前端文件（HTML/CSS/JS），最多5个文件');
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systemParts.push('- 必须包含 index.html');
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systemParts.push('- 根据开发者技术水平调整代码复杂度');
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systemParts.push('- 根据开发者设计偏好决定视觉风格');
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systemParts.push('- 如果对话中提到了具体功能需求，务必全部纳入计划');
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try {
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var reply = await callLLM({
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apiBase: apiBase,
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apiKey: apiKey,
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model: model,
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messages: [
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{ role: 'system', content: systemParts.join('\n') },
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{ role: 'user', content: '以下是和开发者的完整对话，请分析意图并生成开发计划：\n\n' + conversationText.substring(0, 4000) }
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],
|
||||
maxTokens: 2000,
|
||||
temperature: 0.2,
|
||||
timeoutMs: 45000
|
||||
});
|
||||
|
||||
var jsonMatch = reply.match(/\{[\s\S]*\}/);
|
||||
if (jsonMatch) {
|
||||
var plan = JSON.parse(jsonMatch[0]);
|
||||
if (plan.files && !plan.files.some(function (f) { return f.filename === 'index.html'; })) {
|
||||
plan.files.unshift({ filename: 'index.html', description: '主页面', key_features: ['入口页面'] });
|
||||
}
|
||||
if (plan.files) {
|
||||
plan.files = plan.files.slice(0, 5);
|
||||
}
|
||||
plan._source = 'core_brain_llm';
|
||||
return plan;
|
||||
}
|
||||
} catch (_e) {
|
||||
// LLM 分析失败，降级到本地分析
|
||||
}
|
||||
|
||||
return analyzeIntentLocally(brainContext, conversation);
|
||||
}
|
||||
|
||||
/**
|
||||
* 本地意图分析（无 API 或 API 失败时的降级方案）
|
||||
* 使用规则引擎从对话和开发者档案中提取意图
|
||||
*/
|
||||
function analyzeIntentLocally(brainContext, conversation) {
|
||||
var userText = conversation
|
||||
.filter(function (m) { return m.role === 'user'; })
|
||||
.map(function (m) { return m.content || ''; })
|
||||
.join(' ');
|
||||
|
||||
var projectType = '通用项目';
|
||||
if (brainContext.patterns.length > 0) {
|
||||
projectType = brainContext.patterns[0].name;
|
||||
}
|
||||
|
||||
var designStyle = '现代简约';
|
||||
if (brainContext.profile.style_keywords.length > 0) {
|
||||
designStyle = brainContext.profile.style_keywords.join(' + ');
|
||||
} else if (brainContext.profile.design_preference === 'dark') {
|
||||
designStyle = '深色主题·科技感';
|
||||
}
|
||||
|
||||
var complexity = 'moderate';
|
||||
if (brainContext.profile.tech_level === 'beginner') {
|
||||
complexity = 'simple';
|
||||
} else if (brainContext.profile.tech_level === 'advanced') {
|
||||
complexity = 'advanced';
|
||||
}
|
||||
|
||||
return {
|
||||
intent_summary: userText.substring(0, 100) || '开发一个网页项目',
|
||||
project_name: 'web-project',
|
||||
description: userText.substring(0, 200) || '网页项目',
|
||||
design_notes: '风格：' + designStyle,
|
||||
tech_decisions: '复杂度：' + complexity + '，技术栈：HTML/CSS/JavaScript',
|
||||
files: [
|
||||
{ filename: 'index.html', description: '主页面', key_features: ['响应式布局', '核心功能展示'] },
|
||||
{ filename: 'style.css', description: '样式文件', key_features: [designStyle] },
|
||||
{ filename: 'main.js', description: '交互逻辑', key_features: ['用户交互', '动态效果'] }
|
||||
],
|
||||
_source: 'core_brain_local'
|
||||
};
|
||||
}
|
||||
|
||||
/* ================================================================
|
||||
Phase 2: 铸渊代理执行（Agent Execute）
|
||||
================================================================ */
|
||||
|
||||
/**
|
||||
* Agent 接收核心大脑的开发计划，逐步执行代码生成
|
||||
*/
|
||||
async function agentExecute(developmentPlan, devId, apiBase, apiKey, model, broadcastFn) {
|
||||
var projectName = 'project-' + Date.now();
|
||||
var files = {};
|
||||
var filePlan = developmentPlan.files || [];
|
||||
var hasUserApi = apiBase && apiKey && model;
|
||||
|
||||
for (var i = 0; i < filePlan.length; i++) {
|
||||
var fileSpec = filePlan[i];
|
||||
|
||||
broadcastFn({
|
||||
type: 'progress',
|
||||
step: 3,
|
||||
message: '💻 铸渊代理 · 生成文件 (' + (i + 1) + '/' + filePlan.length + '): ' + fileSpec.filename,
|
||||
status: 'building',
|
||||
status_text: '生成 ' + fileSpec.filename
|
||||
});
|
||||
|
||||
if (hasUserApi) {
|
||||
try {
|
||||
var code = await generateFileWithLLM(developmentPlan, fileSpec, filePlan, apiBase, apiKey, model);
|
||||
files[fileSpec.filename] = code;
|
||||
} catch (_e) {
|
||||
files[fileSpec.filename] = generatePlaceholder(fileSpec, developmentPlan);
|
||||
}
|
||||
} else {
|
||||
files[fileSpec.filename] = generatePlaceholder(fileSpec, developmentPlan);
|
||||
}
|
||||
}
|
||||
|
||||
// 写入 workspace
|
||||
var projectDir = path.join(WORKSPACE_DIR, devId, projectName);
|
||||
fs.mkdirSync(projectDir, { recursive: true });
|
||||
|
||||
var fileList = [];
|
||||
var entries = Object.entries(files);
|
||||
for (var j = 0; j < entries.length; j++) {
|
||||
var safeName = path.basename(entries[j][0]);
|
||||
if (!safeName || safeName.startsWith('.')) continue;
|
||||
fs.writeFileSync(path.join(projectDir, safeName), entries[j][1], 'utf-8');
|
||||
fileList.push(safeName);
|
||||
}
|
||||
|
||||
// 生成 README
|
||||
var readmePath = path.join(projectDir, 'README.md');
|
||||
if (!fs.existsSync(readmePath)) {
|
||||
fs.writeFileSync(readmePath, [
|
||||
'# ' + (developmentPlan.project_name || projectName),
|
||||
'',
|
||||
developmentPlan.description || '',
|
||||
'',
|
||||
'## 铸渊核心大脑分析',
|
||||
'- 意图：' + (developmentPlan.intent_summary || ''),
|
||||
'- 设计：' + (developmentPlan.design_notes || ''),
|
||||
'- 技术：' + (developmentPlan.tech_decisions || ''),
|
||||
'',
|
||||
'由光湖 Persona Studio · 铸渊核心大脑 + 铸渊代理 协同开发',
|
||||
'生成时间：' + new Date().toISOString()
|
||||
].join('\n'), 'utf-8');
|
||||
fileList.push('README.md');
|
||||
}
|
||||
|
||||
return { projectName: projectName, files: fileList };
|
||||
}
|
||||
|
||||
/**
|
||||
* 使用 LLM 生成单个文件（Agent 执行层）
|
||||
* 注入核心大脑的开发计划上下文，确保代码与意图一致
|
||||
*/
|
||||
async function generateFileWithLLM(plan, fileSpec, allFiles, apiBase, apiKey, model) {
|
||||
var prompt = [
|
||||
'你是铸渊代理的代码生成模块。根据核心大脑的开发计划生成代码。',
|
||||
'',
|
||||
'## 项目信息',
|
||||
'- 项目：' + (plan.project_name || 'web-project'),
|
||||
'- 描述：' + (plan.description || ''),
|
||||
'- 意图：' + (plan.intent_summary || ''),
|
||||
'- 设计要点：' + (plan.design_notes || ''),
|
||||
'- 技术决策：' + (plan.tech_decisions || ''),
|
||||
'',
|
||||
'## 当前文件',
|
||||
'- 文件名：' + fileSpec.filename,
|
||||
'- 说明：' + (fileSpec.description || ''),
|
||||
'- 核心功能：' + (fileSpec.key_features || []).join('、'),
|
||||
'',
|
||||
'## 项目全部文件',
|
||||
allFiles.map(function (f) { return '- ' + f.filename + '（' + (f.description || '') + '）'; }).join('\n'),
|
||||
'',
|
||||
'请直接输出文件内容，不要用 ``` 代码块包裹，不要加任何额外说明。',
|
||||
'确保代码完整、可运行、符合核心大脑的设计要求。',
|
||||
'如果是 HTML 文件，要正确引用同项目中的 CSS 和 JS 文件。'
|
||||
].join('\n');
|
||||
|
||||
var reply = await callLLM({
|
||||
apiBase: apiBase,
|
||||
apiKey: apiKey,
|
||||
model: model,
|
||||
messages: [{ role: 'user', content: prompt }],
|
||||
maxTokens: 4000,
|
||||
temperature: 0.3,
|
||||
timeoutMs: 60000
|
||||
});
|
||||
|
||||
var clean = reply.trim();
|
||||
if (clean.startsWith('```')) {
|
||||
clean = clean.replace(/^```\S*\n?/, '').replace(/\n?```\s*$/, '');
|
||||
}
|
||||
return clean;
|
||||
}
|
||||
|
||||
/**
|
||||
* 生成占位内容（无 API 或单文件失败时的降级方案）
|
||||
*/
|
||||
function generatePlaceholder(fileSpec, plan) {
|
||||
var desc = plan.description || plan.intent_summary || plan.project_name || '项目';
|
||||
var designNotes = plan.design_notes || '现代简约';
|
||||
|
||||
if (fileSpec.filename === 'index.html') {
|
||||
return [
|
||||
'<!DOCTYPE html>',
|
||||
'<html lang="zh-CN">',
|
||||
'<head>',
|
||||
' <meta charset="UTF-8">',
|
||||
' <meta name="viewport" content="width=device-width, initial-scale=1.0">',
|
||||
' <title>' + (plan.project_name || '项目') + '</title>',
|
||||
' <link rel="stylesheet" href="style.css">',
|
||||
'</head>',
|
||||
'<body>',
|
||||
' <div class="container">',
|
||||
' <h1>🌊 ' + desc + '</h1>',
|
||||
' <p>由光湖 Persona Studio · 铸渊核心大脑 + 铸渊代理 协同开发</p>',
|
||||
' <p class="design-note">设计风格：' + designNotes + '</p>',
|
||||
' </div>',
|
||||
' <script src="main.js"></script>',
|
||||
'</body>',
|
||||
'</html>'
|
||||
].join('\n');
|
||||
}
|
||||
if (fileSpec.filename.endsWith('.css')) {
|
||||
return [
|
||||
'/* Generated by Persona Studio · Core Brain + Agent */',
|
||||
'* { margin: 0; padding: 0; box-sizing: border-box; }',
|
||||
'body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; background: #0f172a; color: #e2e8f0; min-height: 100vh; display: flex; align-items: center; justify-content: center; }',
|
||||
'.container { text-align: center; padding: 2rem; max-width: 800px; }',
|
||||
'h1 { font-size: 2rem; margin-bottom: 1rem; background: linear-gradient(135deg, #60a5fa, #22d3ee); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }',
|
||||
'.design-note { color: #64748b; font-size: 0.875rem; margin-top: 1rem; }'
|
||||
].join('\n');
|
||||
}
|
||||
if (fileSpec.filename.endsWith('.js')) {
|
||||
return '// Generated by Persona Studio · Core Brain + Agent\nconsole.log("' + (plan.project_name || 'Project') + ' initialized by 铸渊代理");\n';
|
||||
}
|
||||
return '/* Generated by Persona Studio */\n';
|
||||
}
|
||||
|
||||
/* ================================================================
|
||||
Phase 3: 核心大脑自进化（Post-Build Evolution）
|
||||
================================================================ */
|
||||
|
||||
/**
|
||||
* 开发完成后，核心大脑进行自进化：
|
||||
* ① 知识提取 → 更新 knowledge-base.json
|
||||
* ② 模式识别 → 更新 pattern-library.json
|
||||
* ③ 画像学习 → 更新 profile.json
|
||||
* ④ 进化日志 → 更新 evolution-log.json
|
||||
*/
|
||||
function coreBrainPostEvolution(devId, conversation, result, brainContext, startTime, success) {
|
||||
try {
|
||||
var buildTimeMs = Date.now() - startTime;
|
||||
|
||||
// ① 知识提取
|
||||
try {
|
||||
knowledgeExtractor.autoExtractKnowledge(devId, conversation, result.projectName);
|
||||
} catch (_e) { /* non-fatal */ }
|
||||
|
||||
// ② 模式识别
|
||||
var patterns = [];
|
||||
try {
|
||||
patterns = patternAnalyzer.analyzeAndUpdatePatterns(
|
||||
devId, conversation, result.files, buildTimeMs, success
|
||||
);
|
||||
} catch (_e) { /* non-fatal */ }
|
||||
|
||||
// ③ 画像学习（从最后一条用户消息学习）
|
||||
if (devId !== 'GUEST') {
|
||||
try {
|
||||
var lastUser = conversation.filter(function (m) { return m.role === 'user'; }).pop();
|
||||
if (lastUser) {
|
||||
profileLearner.updateProfile(devId, lastUser.content, result.summary || '');
|
||||
}
|
||||
} catch (_e) { /* non-fatal */ }
|
||||
}
|
||||
|
||||
// ④ 进化日志
|
||||
evolutionLogger.logEvent('agent_build_complete', '铸渊代理开发完成: ' + result.projectName, {
|
||||
dev_id: devId,
|
||||
project: result.projectName,
|
||||
files_count: (result.files || []).length,
|
||||
build_time_ms: buildTimeMs,
|
||||
success: success,
|
||||
brain_source: brainContext.developer.is_guest ? 'local' : 'llm',
|
||||
patterns_detected: patterns,
|
||||
developer_tech_level: brainContext.profile.tech_level,
|
||||
developer_projects_total: brainContext.projects.total
|
||||
});
|
||||
} catch (err) {
|
||||
console.error('Core brain post-evolution error:', err.message);
|
||||
}
|
||||
}
|
||||
|
||||
/* ================================================================
|
||||
主工作流入口
|
||||
================================================================ */
|
||||
|
||||
/**
|
||||
* 运行铸渊代理开发工作流（壳-核分离）
|
||||
*
|
||||
* @param {object} params
|
||||
* @param {string} params.dev_id - 开发编号（EXP-XXX 或 GUEST）
|
||||
* @param {Array} params.conversation - 对话历史
|
||||
* @param {string} params.api_base - 用户 API Base URL
|
||||
* @param {string} params.api_key - 用户 API Key
|
||||
* @param {string} params.model - 用户选择的模型
|
||||
* @param {Function} params.broadcast - WebSocket 广播函数
|
||||
* @returns {Promise<{projectName, files, summary}>}
|
||||
*/
|
||||
async function runWorkflow({ dev_id, conversation, api_base, api_key, model, broadcast }) {
|
||||
var emitProgress = broadcast || function () {};
|
||||
var startTime = Date.now();
|
||||
var brainContext = null;
|
||||
|
||||
// ════════════════════════════════════════════
|
||||
// Phase 1: 唤醒铸渊核心大脑
|
||||
// ════════════════════════════════════════════
|
||||
emitProgress({
|
||||
type: 'progress',
|
||||
step: 1,
|
||||
total_steps: 5,
|
||||
message: '🧠 正在唤醒铸渊核心大脑...',
|
||||
status: 'building',
|
||||
status_text: '唤醒核心大脑'
|
||||
});
|
||||
|
||||
var coreBrainResult;
|
||||
try {
|
||||
coreBrainResult = await wakeCoreBrain(dev_id, conversation, api_base, api_key, model);
|
||||
brainContext = coreBrainResult.brainContext;
|
||||
} catch (_err) {
|
||||
brainContext = buildBrainContext(
|
||||
lookupDeveloper(dev_id),
|
||||
{ conversations: [], last_topic: null },
|
||||
null, { projects: [] }, [], []
|
||||
);
|
||||
coreBrainResult = {
|
||||
brainContext: brainContext,
|
||||
developmentPlan: analyzeIntentLocally(brainContext, conversation)
|
||||
};
|
||||
}
|
||||
|
||||
var plan = coreBrainResult.developmentPlan;
|
||||
|
||||
emitProgress({
|
||||
type: 'progress',
|
||||
step: 1,
|
||||
message: '✅ 核心大脑已唤醒 · 意图分析完成：' + (plan.intent_summary || '').substring(0, 50),
|
||||
status: 'building',
|
||||
status_text: '意图已分析'
|
||||
});
|
||||
|
||||
// ════════════════════════════════════════════
|
||||
// Phase 1.5: 核心大脑推送开发计划
|
||||
// ════════════════════════════════════════════
|
||||
emitProgress({
|
||||
type: 'progress',
|
||||
step: 2,
|
||||
total_steps: 5,
|
||||
message: '📐 核心大脑 → 代理：推送开发计划（' + (plan.files || []).length + ' 个文件）',
|
||||
status: 'building',
|
||||
status_text: '计划已推送'
|
||||
});
|
||||
|
||||
if (plan.design_notes) {
|
||||
emitProgress({
|
||||
type: 'progress',
|
||||
step: 2,
|
||||
message: '🎨 设计指令：' + plan.design_notes,
|
||||
status: 'building',
|
||||
status_text: '设计已确认'
|
||||
});
|
||||
}
|
||||
|
||||
// ════════════════════════════════════════════
|
||||
// Phase 2: 铸渊代理执行开发
|
||||
// ════════════════════════════════════════════
|
||||
emitProgress({
|
||||
type: 'progress',
|
||||
step: 3,
|
||||
total_steps: 5,
|
||||
message: '💻 铸渊代理 · 开始执行核心大脑的开发计划...',
|
||||
status: 'building',
|
||||
status_text: '代理执行中'
|
||||
});
|
||||
|
||||
var agentResult = await agentExecute(plan, dev_id, api_base, api_key, model, emitProgress);
|
||||
|
||||
emitProgress({
|
||||
type: 'progress',
|
||||
step: 3,
|
||||
message: '✅ 代理执行完成：' + agentResult.files.length + ' 个文件已生成',
|
||||
status: 'building',
|
||||
status_text: '代码已生成'
|
||||
});
|
||||
|
||||
// ════════════════════════════════════════════
|
||||
// Phase 2.5: 预览部署
|
||||
// ════════════════════════════════════════════
|
||||
emitProgress({
|
||||
type: 'progress',
|
||||
step: 4,
|
||||
total_steps: 5,
|
||||
message: '🚀 铸渊代理 · 部署预览...',
|
||||
status: 'building',
|
||||
status_text: '部署预览'
|
||||
});
|
||||
|
||||
// ════════════════════════════════════════════
|
||||
// Phase 3: 核心大脑自进化
|
||||
// ════════════════════════════════════════════
|
||||
var finalResult = {
|
||||
projectName: agentResult.projectName,
|
||||
files: agentResult.files,
|
||||
summary: '项目 ' + agentResult.projectName + ' 由铸渊核心大脑分析意图 + 铸渊代理执行开发完成，包含 ' + agentResult.files.length + ' 个文件。\n意图：' + (plan.intent_summary || '') + '\n设计：' + (plan.design_notes || '')
|
||||
};
|
||||
|
||||
coreBrainPostEvolution(dev_id, conversation, finalResult, brainContext, startTime, true);
|
||||
|
||||
emitProgress({
|
||||
type: 'progress',
|
||||
step: 5,
|
||||
total_steps: 5,
|
||||
message: '✨ 铸渊核心大脑 · 自进化完成 · 知识与模式已更新',
|
||||
status: 'building',
|
||||
status_text: '即将完成'
|
||||
});
|
||||
|
||||
return finalResult;
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
runWorkflow
|
||||
};
|
||||
|
|
@ -1,21 +1,29 @@
|
|||
/**
|
||||
* persona-studio · 开发任务路由
|
||||
* POST /api/ps/build/start 触发代码生成
|
||||
* POST /api/ps/build/start 触发铸渊代理开发工作流
|
||||
*
|
||||
* 当用户点击「我要开发」时，自动触发铸渊代理（Agent）
|
||||
* 使用用户自带的 API Key 进行 5 步自动化开发。
|
||||
*/
|
||||
const express = require('express');
|
||||
const router = express.Router();
|
||||
const memoryManager = require('../brain/memory-manager');
|
||||
const codeGenerator = require('../brain/code-generator');
|
||||
const agentWorkflow = require('../brain/agent-workflow');
|
||||
const emailSender = require('../utils/email-sender');
|
||||
|
||||
// 邮箱后端正则二次校验
|
||||
const EMAIL_RE = /^[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+@[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)*$/;
|
||||
|
||||
// 支持 EXP-XXX 和 GUEST 两种 dev_id 格式
|
||||
function isValidDevId(devId) {
|
||||
return devId === 'GUEST' || /^EXP-\d{3,}$/.test(devId);
|
||||
}
|
||||
|
||||
// POST /api/ps/build/start
|
||||
router.post('/start', async (req, res) => {
|
||||
const { dev_id, email, contact, conversation } = req.body || {};
|
||||
const { dev_id, email, contact, conversation, api_base, api_key, model } = req.body || {};
|
||||
|
||||
if (!dev_id || !/^EXP-\d{3,}$/.test(dev_id)) {
|
||||
if (!dev_id || !isValidDevId(dev_id)) {
|
||||
return res.status(400).json({
|
||||
error: true,
|
||||
code: 'INVALID_ID',
|
||||
|
|
@ -40,34 +48,50 @@ router.post('/start', async (req, res) => {
|
|||
});
|
||||
}
|
||||
|
||||
// 防止 header injection：API Key 不得包含换行符
|
||||
if (api_key && /[\r\n]/.test(api_key)) {
|
||||
return res.status(400).json({
|
||||
error: true,
|
||||
code: 'INVALID_API_KEY',
|
||||
message: 'API Key 格式无效'
|
||||
});
|
||||
}
|
||||
|
||||
// 联系方式输入清理（去除潜在 HTML/script 注入）
|
||||
const safeContact = contact ? String(contact).replace(/[<>&"']/g, '').substring(0, 100) : null;
|
||||
|
||||
// 先立即响应，后台异步处理
|
||||
res.json({
|
||||
error: false,
|
||||
message: '开发任务已接收，完成后将发送到 ' + email,
|
||||
status: 'queued'
|
||||
message: '铸渊代理已启动，完成后将发送到 ' + email,
|
||||
status: 'agent_started'
|
||||
});
|
||||
|
||||
// 异步执行代码生成 + 邮件通知
|
||||
// 异步执行铸渊代理开发工作流
|
||||
(async () => {
|
||||
const broadcast = req.app.locals.broadcastToClient || function () {};
|
||||
const broadcastRaw = req.app.locals.broadcastToClient || function () {};
|
||||
const broadcast = function (data) { broadcastRaw(dev_id, data); };
|
||||
|
||||
try {
|
||||
broadcast(dev_id, {
|
||||
// 启动 Agent 工作流
|
||||
broadcast({
|
||||
type: 'progress',
|
||||
message: '🔧 正在创建项目骨架...',
|
||||
message: '🌀 铸渊代理已唤醒，正在启动开发工作流...',
|
||||
status: 'building',
|
||||
status_text: '构建中'
|
||||
status_text: '代理已启动'
|
||||
});
|
||||
|
||||
const result = await codeGenerator.generate({
|
||||
dev_id,
|
||||
const result = await agentWorkflow.runWorkflow({
|
||||
dev_id: dev_id,
|
||||
conversation: conversation || [],
|
||||
api_base: api_base || '',
|
||||
api_key: api_key || '',
|
||||
model: model || '',
|
||||
broadcast: broadcast
|
||||
});
|
||||
|
||||
// 记录项目
|
||||
// 记录项目（GUEST 也记录，方便追踪）
|
||||
try {
|
||||
memoryManager.addProject(dev_id, {
|
||||
name: result.projectName || 'untitled',
|
||||
email: email,
|
||||
|
|
@ -77,34 +101,41 @@ router.post('/start', async (req, res) => {
|
|||
files: result.files || []
|
||||
});
|
||||
|
||||
// 自动提取知识
|
||||
// 自动提取知识（仅注册开发者）
|
||||
if (dev_id !== 'GUEST') {
|
||||
memoryManager.autoExtractKnowledge(dev_id, conversation, result.projectName);
|
||||
}
|
||||
} catch (memErr) {
|
||||
console.error('Memory save error (non-fatal):', memErr.message);
|
||||
}
|
||||
|
||||
// 通知预览就绪
|
||||
broadcast(dev_id, {
|
||||
broadcast({
|
||||
type: 'preview_ready',
|
||||
project: result.projectName,
|
||||
message: '✅ 预览已就绪'
|
||||
});
|
||||
|
||||
broadcast(dev_id, {
|
||||
broadcast({
|
||||
type: 'complete',
|
||||
message: '🎉 全部完成！邮件正在发送'
|
||||
});
|
||||
|
||||
// 发邮件
|
||||
await emailSender.sendCompletion({
|
||||
// 发邮件（异步，不阻塞主流程）
|
||||
emailSender.sendCompletion({
|
||||
to: email,
|
||||
dev_id,
|
||||
dev_id: dev_id,
|
||||
projectName: result.projectName,
|
||||
summary: result.summary,
|
||||
files: result.files
|
||||
}).catch(function (emailErr) {
|
||||
console.error('Email send error (non-fatal):', emailErr.message);
|
||||
});
|
||||
} catch (err) {
|
||||
console.error('Build pipeline error:', err.message);
|
||||
broadcast(dev_id, {
|
||||
console.error('Agent workflow error:', err.message);
|
||||
broadcast({
|
||||
type: 'error',
|
||||
message: '构建过程出错: ' + err.message
|
||||
message: '铸渊代理遇到问题: ' + err.message
|
||||
});
|
||||
}
|
||||
})();
|
||||
|
|
|
|||
|
|
@ -1,8 +1,8 @@
|
|||
{
|
||||
"schema_version": "1.0",
|
||||
"description": "系统进化日志 · 记录每次自进化事件",
|
||||
"last_updated": "2026-03-13T05:43:36.767Z",
|
||||
"total_events": 1,
|
||||
"last_updated": "2026-03-13T05:55:39.412Z",
|
||||
"total_events": 2,
|
||||
"events": [
|
||||
{
|
||||
"id": "EVT-1773380616767",
|
||||
|
|
@ -19,6 +19,25 @@
|
|||
]
|
||||
},
|
||||
"timestamp": "2026-03-13T05:43:36.767Z"
|
||||
},
|
||||
{
|
||||
"id": "EVT-1773381339412",
|
||||
"type": "agent_build_complete",
|
||||
"description": "铸渊代理开发完成: project-1773381339411",
|
||||
"metadata": {
|
||||
"dev_id": "GUEST",
|
||||
"project": "project-1773381339411",
|
||||
"files_count": 4,
|
||||
"build_time_ms": 1,
|
||||
"success": true,
|
||||
"brain_source": "local",
|
||||
"patterns_detected": [
|
||||
"个人博客"
|
||||
],
|
||||
"developer_tech_level": null,
|
||||
"developer_projects_total": 0
|
||||
},
|
||||
"timestamp": "2026-03-13T05:55:39.412Z"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
|
@ -13,7 +13,20 @@
|
|||
"main.js",
|
||||
"README.md"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "project-1773380932239",
|
||||
"email": "test@test.com",
|
||||
"contact": null,
|
||||
"status": "completed",
|
||||
"created_at": "2026-03-13T05:48:52.239Z",
|
||||
"files": [
|
||||
"index.html",
|
||||
"style.css",
|
||||
"main.js",
|
||||
"README.md"
|
||||
]
|
||||
}
|
||||
],
|
||||
"updated_at": "2026-03-13T05:43:36.768Z"
|
||||
"updated_at": "2026-03-13T05:48:52.239Z"
|
||||
}
|
||||
|
|
@ -0,0 +1,32 @@
|
|||
{
|
||||
"dev_id": "GUEST",
|
||||
"projects": [
|
||||
{
|
||||
"name": "project-1773380932224",
|
||||
"email": "test@test.com",
|
||||
"contact": null,
|
||||
"status": "completed",
|
||||
"created_at": "2026-03-13T05:48:52.225Z",
|
||||
"files": [
|
||||
"index.html",
|
||||
"style.css",
|
||||
"main.js",
|
||||
"README.md"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "project-1773381339411",
|
||||
"email": "test@example.com",
|
||||
"contact": null,
|
||||
"status": "completed",
|
||||
"created_at": "2026-03-13T05:55:39.412Z",
|
||||
"files": [
|
||||
"index.html",
|
||||
"style.css",
|
||||
"main.js",
|
||||
"README.md"
|
||||
]
|
||||
}
|
||||
],
|
||||
"updated_at": "2026-03-13T05:55:39.412Z"
|
||||
}
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
{
|
||||
"schema_version": "1.0",
|
||||
"description": "系统模式库 · 自动识别 · 每完成一个项目+每日聚合更新",
|
||||
"last_updated": "2026-03-13T05:43:36.767Z",
|
||||
"total_patterns": 1,
|
||||
"last_updated": "2026-03-13T05:55:39.412Z",
|
||||
"total_patterns": 2,
|
||||
"patterns": [
|
||||
{
|
||||
"name": "通用项目",
|
||||
|
|
@ -15,6 +15,18 @@
|
|||
"success_rate": 100,
|
||||
"first_seen": "2026-03-13T05:43:36.767Z",
|
||||
"last_seen": "2026-03-13T05:43:36.767Z"
|
||||
},
|
||||
{
|
||||
"name": "个人博客",
|
||||
"frequency": 1,
|
||||
"common_features": [],
|
||||
"common_tech_stack": [
|
||||
"HTML/CSS/JS"
|
||||
],
|
||||
"avg_build_time": 1,
|
||||
"success_rate": 100,
|
||||
"first_seen": "2026-03-13T05:55:39.412Z",
|
||||
"last_seen": "2026-03-13T05:55:39.412Z"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
|
@ -640,28 +640,39 @@ async function confirmBuild() {
|
|||
if (contact) sessionStorage.setItem('ps_build_contact', contact);
|
||||
|
||||
closeEmailModal();
|
||||
appendMessage('system', '🚀 开发任务已提交，完成后会发送到 ' + email);
|
||||
appendMessage('system', '🌀 铸渊代理已启动，完成后会发送到 ' + email);
|
||||
|
||||
// 进入分屏模式
|
||||
enterDevMode();
|
||||
|
||||
// 先连接 WebSocket（确保在 build 开始前建立连接，避免丢失进度消息）
|
||||
connectPreviewWebSocket();
|
||||
|
||||
try {
|
||||
await fetch(API_BASE + '/api/ps/build/start', {
|
||||
var buildRes = await fetch(API_BASE + '/api/ps/build/start', {
|
||||
method: 'POST',
|
||||
headers: authHeaders({ 'Content-Type': 'application/json' }),
|
||||
body: JSON.stringify({
|
||||
dev_id: DEV_ID,
|
||||
email: email,
|
||||
contact: contact,
|
||||
conversation: conversationHistory
|
||||
conversation: conversationHistory,
|
||||
api_base: USER_API_BASE,
|
||||
api_key: USER_API_KEY,
|
||||
model: SELECTED_MODEL
|
||||
})
|
||||
});
|
||||
} catch (_err) {
|
||||
appendMessage('system', '任务提交失败，请稍后再试');
|
||||
}
|
||||
|
||||
// 连接 WebSocket 获取进度更新
|
||||
connectPreviewWebSocket();
|
||||
if (!buildRes.ok) {
|
||||
var errData = {};
|
||||
try { errData = await buildRes.json(); } catch (_e) { /* ignore */ }
|
||||
appendMessage('system', '⚠️ 铸渊代理启动失败: ' + (errData.message || 'HTTP ' + buildRes.status));
|
||||
updatePreviewStatus('error', '启动失败');
|
||||
}
|
||||
} catch (_err) {
|
||||
appendMessage('system', '⚠️ 任务提交失败，请检查网络连接后再试');
|
||||
updatePreviewStatus('error', '网络错误');
|
||||
}
|
||||
}
|
||||
|
||||
/* ---- Dev Mode: Split Screen ---- */
|
||||
|
|
|
|||
|
|
@ -1,8 +0,0 @@
|
|||
# project-1773380616766
|
||||
|
||||
## 需求描述
|
||||
Make a hello world page
|
||||
|
||||
> 模板项目（AI 模型尚未配置，请管理员设置 MODEL_API_KEY）
|
||||
|
||||
生成时间：2026-03-13T05:43:36.766Z
|
||||
|
|
@ -1,14 +0,0 @@
|
|||
<!DOCTYPE html>
|
||||
<html lang="zh-CN">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>project-1773380616766</title>
|
||||
<link rel="stylesheet" href="style.css">
|
||||
</head>
|
||||
<body>
|
||||
<h1>🌊 project-1773380616766</h1>
|
||||
<p>由光湖 Persona Studio 生成</p>
|
||||
<script src="main.js"></script>
|
||||
</body>
|
||||
</html>
|
||||
|
|
@ -1 +0,0 @@
|
|||
console.log("Project initialized by Persona Studio");
|
||||
|
|
@ -1 +0,0 @@
|
|||
body { font-family: sans-serif; padding: 2rem; }
|
||||
Loading…
Reference in New Issue