From 32b61c6761f4fbf4b15916a6482e002e66608e9b Mon Sep 17 00:00:00 2001 From: Closed-Book Date: Thu, 14 May 2026 15:20:03 +0800 Subject: [PATCH] fix(security): SSRF guard + ripgrep timeout MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 新增 fetch SSRF 防御（M1）+ ripgrep timeout（M3）。属 nice-to-have 安全纵深，请作者判断是否合并： fetcher/http.ts: - 改 redirect: 'manual' 手动跟随，max=5 跳 - 每跳前 dns.lookup() 检查目标 IP 是否在 RFC 1918 / RFC 6890 私网范围（127/8 / 10/8 / 172.16/12 / 192.168/16 / 169.254/16 / ::1 / fc00::/7），拒则抛 PrivateAddressError - env opt-out LOREKIT_FETCH_ALLOW_PRIVATE=1 跳过私网检查 - 不影响 ollama localhost（在 lib/ollama.ts 另一路径） fetcher/index.ts: - L1 catch 时识别 PrivateAddressError，直接冒泡为 FetchResult error (reason=PRIVATE_ADDRESS_BLOCKED)，不退 L2 fallback （否则 playwright 也会绕过 guard 命中私网） search.ts: - spawnSync 加 timeout: 30_000（之前仅 maxBuffer 10M） - SIGTERM 触发时落 fallback + warn 新增 tests/smoke/fetch-ssrf.test.mjs 验证私网拒绝 + opt-out。 Co-Authored-By: Claude Opus 4.7 (1M context) --- dist/cli.js | 123 +++++++++++++++++++++-- dist/cli.js.map | 2 +- src/commands/search.ts | 9 +- src/lib/fetcher/http.ts | 173 ++++++++++++++++++++++++++++++-- src/lib/fetcher/index.ts | 18 +++- tests/smoke/fetch-ssrf.test.mjs | 58 +++++++++++ 6 files changed, 361 insertions(+), 22 deletions(-) create mode 100644 tests/smoke/fetch-ssrf.test.mjs diff --git a/dist/cli.js b/dist/cli.js index 45a8f73..fa8af7e 100755 --- a/dist/cli.js +++ b/dist/cli.js @@ -2944,9 +2944,15 @@ function searchWithRipgrep(query, corpus, opts) { args.push(query, searchDir); const result = spawnSync("rg", args, { encoding: "utf-8", - maxBuffer: 10 * 1024 * 1024 + maxBuffer: 10 * 1024 * 1024, + // 30s 上限：规避恶意 / 退化 regex 在巨型 corpus 上拖垮 CLI（PR #5 review M3）。 + // ripgrep 正常扫几 GB markdown 也只要几秒，30s 是宽松值。 + timeout: 3e4 }); if (result.error) { + if (result.signal === "SIGTERM") { + warn(`rg timed out after 30s, falling back to built-in scan`); + } return []; } const results = []; @@ -3242,9 +3248,12 @@ function normalizeDateText(raw) { } // src/lib/fetcher/http.ts +import { lookup } from "dns/promises"; +import { BlockList, isIP } from "net"; var UA_IPHONE = "Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Mobile/15E148 Safari/604.1"; var UA_DESKTOP = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"; var HTTP_TIMEOUT_MS = 2e4; +var MAX_REDIRECTS = 5; var ANTIBOT_TRIGGERS = [ "\u73AF\u5883\u5F02\u5E38", "\u8BF7\u5728\u5FAE\u4FE1\u5BA2\u6237\u7AEF\u6253\u5F00", @@ -3252,6 +3261,73 @@ var ANTIBOT_TRIGGERS = [ "Just a moment", "cf-browser-verification" ]; +var PRIVATE_BLOCKS = (() => { + const bl = new BlockList(); + bl.addSubnet("127.0.0.0", 8, "ipv4"); + bl.addSubnet("10.0.0.0", 8, "ipv4"); + bl.addSubnet("172.16.0.0", 12, "ipv4"); + bl.addSubnet("192.168.0.0", 16, "ipv4"); + bl.addSubnet("169.254.0.0", 16, "ipv4"); + bl.addSubnet("0.0.0.0", 8, "ipv4"); + bl.addAddress("::1", "ipv6"); + bl.addSubnet("fc00::", 7, "ipv6"); + bl.addSubnet("fe80::", 10, "ipv6"); + return bl; +})(); +var PrivateAddressError = class extends Error { + constructor(message, host, address) { + super(message); + this.host = host; + this.address = address; + this.name = "PrivateAddressError"; + } + host; + address; + code = "SSRF_PRIVATE_ADDRESS"; +}; +function isPrivateOptOut() { + const v = process.env.LOREKIT_FETCH_ALLOW_PRIVATE; + return v === "1" || v === "true"; +} +async function assertPublicAddress(urlStr) { + if (isPrivateOptOut()) return; + let parsed; + try { + parsed = new URL(urlStr); + } catch { + return; + } + if (parsed.protocol !== "http:" && parsed.protocol !== "https:") return; + const rawHost = parsed.hostname; + const host = rawHost.startsWith("[") && rawHost.endsWith("]") ? rawHost.slice(1, -1) : rawHost; + if (!host) return; + const ipVersion = isIP(host); + if (ipVersion === 4 || ipVersion === 6) { + const family2 = ipVersion === 4 ? "ipv4" : "ipv6"; + if (PRIVATE_BLOCKS.check(host, family2)) { + throw new PrivateAddressError( + `refusing to fetch private address ${host} (set LOREKIT_FETCH_ALLOW_PRIVATE=1 to override)`, + host, + host + ); + } + return; + } + let addr; + try { + addr = await lookup(host); + } catch { + return; + } + const family = addr.family === 6 ? "ipv6" : "ipv4"; + if (PRIVATE_BLOCKS.check(addr.address, family)) { + throw new PrivateAddressError( + `refusing to fetch ${host} which resolves to private address ${addr.address} (set LOREKIT_FETCH_ALLOW_PRIVATE=1 to override)`, + host, + addr.address + ); + } +} function detectSite(url) { try { const host = new URL(url).hostname.toLowerCase(); @@ -3284,13 +3360,33 @@ async function fetchHtmlL1(url, headers) { const controller = new AbortController(); const timer = setTimeout(() => controller.abort(), HTTP_TIMEOUT_MS); try { - const res = await fetch(url, { - headers, - redirect: "follow", - signal: controller.signal - }); - if (!res.ok) throw new Error(`HTTP ${res.status}`); - return await res.text(); + let currentUrl = url; + for (let hop = 0; hop <= MAX_REDIRECTS; hop++) { + await assertPublicAddress(currentUrl); + const res = await fetch(currentUrl, { + headers, + redirect: "manual", + signal: controller.signal + }); + if (res.status >= 300 && res.status < 400) { + const loc = res.headers.get("location"); + if (!loc) { + throw new Error(`HTTP ${res.status} without Location header`); + } + if (hop === MAX_REDIRECTS) { + throw new Error(`too many redirects (>${MAX_REDIRECTS}) starting from ${url}`); + } + currentUrl = new URL(loc, currentUrl).toString(); + try { + await res.arrayBuffer(); + } catch { + } + continue; + } + if (!res.ok) throw new Error(`HTTP ${res.status}`); + return await res.text(); + } + throw new Error(`unreachable: redirect loop exit ${url}`); } finally { clearTimeout(timer); } @@ -3740,7 +3836,16 @@ async function fetchUrl(url, opts) { if (detectAntibot(html, site)) { html = ""; } - } catch { + } catch (e) { + if (e instanceof PrivateAddressError) { + return { + status: "error", + route: "rich", + url, + reason: "PRIVATE_ADDRESS_BLOCKED", + suggest: `target resolves to private address ${e.address}. Set LOREKIT_FETCH_ALLOW_PRIVATE=1 to allow (local dev only).` + }; + } html = ""; } if (!html) { diff --git a/dist/cli.js.map b/dist/cli.js.map index fb56c7d..ed0d196 100644 --- a/dist/cli.js.map +++ b/dist/cli.js.map @@ -1 +1 @@ -{"version":3,"sources":["../src/lib/paths.ts","../src/utils/logger.ts","../src/lib/vectordb/files.ts","../src/lib/vectordb/schema.ts","../src/lib/ollama.ts","../src/lib/chunker.ts","../src/lib/vectordb/sync.ts","../src/lib/vectordb/build-layered-index.ts","../src/lib/vectordb/query-flat.ts","../src/lib/vectordb/query-layered.ts","../src/lib/vectordb/query-bm25.ts","../src/lib/vectordb/query-hybrid.ts","../src/lib/vectordb/status.ts","../src/lib/vectordb/index.ts","../src/cli.ts","../src/lib/corpus.ts","../src/utils/fs.ts","../src/commands/init.ts","../src/commands/doctor.ts","../src/lib/obsidian.ts","../src/lib/integrations/gbrain.ts","../src/lib/integrations/gbrain-status.ts","../src/lib/integrations/process.ts","../src/lib/integrations/gbrain-export.ts","../src/lib/integrations/manifest.ts","../src/commands/stats.ts","../src/commands/lint.ts","../src/commands/audit.ts","../src/lib/date.ts","../src/commands/dir-index.ts","../src/commands/install-skills.ts","../src/commands/snapshot.ts","../src/commands/restore.ts","../src/commands/search.ts","../src/commands/vector.ts","../src/lib/vectordb/prune.ts","../src/commands/fetch.ts","../src/lib/fetcher/index.ts","../src/lib/fetcher/frontmatter.ts","../src/lib/fetcher/helpers.ts","../src/lib/fetcher/http.ts","../src/lib/fetcher/images.ts","../src/lib/fetcher/routes/web.ts","../src/lib/fetcher/routes/weixin.ts","../src/lib/fetcher/routes/gist.ts","../src/lib/fetcher/routes/github.ts","../src/lib/ingest-state.ts","../src/commands/ingest.ts","../src/commands/sync.ts","../src/lib/root-index.ts","../src/commands/obsidian-tune.ts","../src/commands/remove.ts","../src/commands/gbrain.ts"],"sourcesContent":["/**\n * paths.ts — corpus 路径 / 排除规则的单一事实源。\n *\n * 历史背景（LEGACY P1-1）：corpus.ts / vectordb.ts / commands/{index,lint,snapshot}\n * 各自维护独立的\"排除目录\"集合，加新顶层目录时容易漏改其中一处。本文件把所有\n * 集合集中起来，下游 import 即可。\n *\n * CONVENTIONS Do Not #11：建 paths.ts 后不许再硬编码新的\"排除目录\"常量。\n *\n * 命名约定：\n * - alwaysExclude* — 全局通用，所有 collect / scan 都该跳过\n * - vectorInclude* — 仅向量库索引时纳入\n * - vectorExclude* — 仅向量库索引时排除\n * - lintSkip* — 仅 lint 时跳过\n * - indexExclude* — 仅 dir-index (`_INDEX.md`) 生成时跳过\n * - snapshotExclude* — 仅 snapshot 时跳过\n *\n * 后续批次（6/7）会继续往本文件追加 set；先生不要在其他文件里\"另起炉灶\"。\n */\n\n/**\n * 全局排除：任何 markdown 收集都该跳过的文件名（不是目录）。\n * - .gitkeep / .DS_Store：环境噪声\n * - _INDEX.md：`lorekit index` 自动生成的目录索引文件，不是用户内容\n */\nexport const alwaysExcludeNames: ReadonlySet = new Set([\n '.gitkeep',\n '.DS_Store',\n '_INDEX.md',\n]);\n\n// ---------------------------------------------------------------------------\n// 向量库索引（vectordb.ts）专用规则\n// ---------------------------------------------------------------------------\n\n/**\n * 向量库纳入索引的目录前缀。任何文件 rel path 必须以下列之一开头才参与 chunk\n * embedding。注意：原料里只索引\"长文\"类（文章 / 书籍 / 会议）；剪藏 / 录音\n * 走另外的路径（embed 摘要而非全文）。\n */\nexport const vectorIncludeDirs: readonly string[] = [\n '知识库',\n '每日',\n '写作',\n '原料/文章',\n '原料/书籍',\n '原料/会议',\n];\n\n/**\n * 向量库排除目录前缀。先 exclude 检查再 include 检查 — exclude 规则胜出。\n * - `_工作台` / `_archive` / `_归档`：过渡区 / 冷数据，不该污染向量空间\n * - `原料/录音` / `原料/剪藏`：走摘要 embedding，不索引全文 chunk\n * - `反馈` / `系统` / `.wiki`：流程 / 规范 / 元数据，跟知识检索无关\n * - `输出`：LLM 产物（问答 / 文章 / 幻灯片 / 图表 / 体检报告 / 空缺分析），\n * 是二次加工产物不该回流进向量空间（否则会和原始 wiki 页形成互相加强的回音）\n *\n * 注：`.assets/`（各 markdown 的图片子目录）**不需要在此单独列**——它一定是\n * 某个父目录的子目录，随父目录的 include / exclude 规则自动生效。\n */\nexport const vectorExcludePrefixes: readonly string[] = [\n '_工作台',\n '_archive',\n '_归档',\n '原料/录音',\n '原料/剪藏',\n '反馈',\n '系统',\n '输出',\n '.wiki',\n];\n\n/**\n * 向量库排除文件名（不含 `_INDEX.md` —— 注意跟 alwaysExcludeNames 不同）。\n * `_INDEX.md` 由 buildLayeredIndex 通过 L1 路径单独处理（embed 条目摘要），\n * 不应进 chunk 池；但当前 vectordb.shouldIndex 没有显式排除它，依赖 INCLUDE_DIRS\n * 圈定边界。本集合**严格保留迁移前行为**，不在本批改语义。\n */\nexport const vectorExcludeNames: ReadonlySet = new Set(['.gitkeep', '.DS_Store']);\n\n// ---------------------------------------------------------------------------\n// `lorekit index` 专用规则（生成 _INDEX.md）\n// ---------------------------------------------------------------------------\n\n/**\n * `lorekit index` 不为下列前缀目录生成 `_INDEX.md`。\n * 系统 / 反馈 / 工作台 / 归档 / git / .wiki 都不是用户内容书架。\n */\nexport const indexExcludeDirPrefixes: readonly string[] = [\n '.wiki',\n '.git',\n '_归档',\n '_工作台',\n '系统',\n '反馈',\n];\n\n/**\n * 判断给定 corpus 内相对路径是否落在\"不索引\"前缀里。\n * 对外暴露的小工具（doctor.ts / commands/dir-index.ts 都用）。\n */\nexport function isIndexExcluded(rel: string): boolean {\n for (const prefix of indexExcludeDirPrefixes) {\n if (rel === prefix || rel.startsWith(prefix + '/')) return true;\n }\n return false;\n}\n\n/**\n * 判断目录是否\"目录包装式原料\"——即 `/article.md` 存在。\n * 此类目录在生成 `_INDEX.md` 时被当作\"一个条目\"而非容器，不递归进入。\n *\n * 注：lstatSync 直接 throw 时返回 false（catch 静默是有意——目录不存在 / 权限拒绝\n * 都按\"不是 folder package\" 处理；这是 paths.ts 的小预言式 helper，没有副作用）。\n */\nexport function isFolderPackage(dir: string): boolean {\n const articlePath = pathJoin(dir, 'article.md');\n try {\n return lstatSync(articlePath).isFile();\n } catch {\n return false;\n }\n}\n\n// ---------------------------------------------------------------------------\n// `lorekit lint` 专用规则\n// ---------------------------------------------------------------------------\n\n/**\n * lint 时按 basename 跳过 frontmatter / orphan 检查的文件名（任何位置）。\n * 这些是 schema / 入口文档，不该被当作 wiki 页验证。\n */\nexport const lintSkipFrontmatterBasenames: ReadonlySet = new Set([\n 'README.md',\n 'AGENTS.md',\n 'CLAUDE.md',\n 'MEMORY.md',\n]);\n\n/**\n * 仅在 corpus 根目录跳过的文件名。`index.md` / `log.md` 在子目录里如果有\n * 同名文件，仍按普通 wiki 页校验。\n */\nexport const lintRootOnlySkipBasenames: ReadonlySet = new Set(['index.md', 'log.md']);\n\n/**\n * lint 不参与 orphan 检查的目录前缀（过渡区 / 冷数据 / 系统规范 / 模板区）。\n * `知识库/模板/` 下是页面模板，不是正式 wiki 页，天然无入链，不应报 orphan。\n */\nexport const lintSkipOrphanPrefixes: readonly string[] = [\n '_工作台/',\n '_归档/',\n '系统/',\n '知识库/模板/',\n];\n\n/**\n * lint 不参与 frontmatter 检查的目录前缀（过渡区 / 冷数据）。\n * 注：`系统/` 故意保留 frontmatter 检查（schema 文件应规范）。\n */\nexport const lintSkipFrontmatterPrefixes: readonly string[] = ['_工作台/', '_归档/'];\n\n/**\n * lint 不参与 broken-link 检查的目录前缀。\n * `知识库/模板/` 下模板正文含 `[[知识库/摘要/xxx]]` 这种占位符，让 LLM 建页时替换，\n * 不是真实 wikilink 目标，不该被报 broken。\n */\nexport const lintSkipBrokenLinkPrefixes: readonly string[] = ['知识库/模板/'];\n\n// ---------------------------------------------------------------------------\n// `lorekit snapshot` 专用规则\n// ---------------------------------------------------------------------------\n\n/**\n * snapshot 打包时跳过的目录 / 文件名。\n * - .wiki：corpus 元数据（含向量库），快照里要重建不要拷\n * - .git：corpus 自己的 git 仓库\n * - .DS_Store：环境噪声\n */\nexport const snapshotExcludeNames: ReadonlySet = new Set(['.wiki', '.git', '.DS_Store']);\n\n// ---------------------------------------------------------------------------\n// 内部 helper（用静态 import；放文件末尾以保持顶部导出干净）\n// ---------------------------------------------------------------------------\n\nimport { lstatSync } from 'node:fs';\nimport { join as pathJoin } from 'node:path';\n","/**\n * logger.ts — 全仓库人类输出唯一通道（CONVENTIONS #2 强制）。\n *\n * 通道分流（CONVENTIONS #3）：所有人类信息（ok / bad / warn / err / info / debug）\n * 一律 stderr，stdout 只留给机器可读输出（JSON / 数据）。这样\n * `lorekit xxx 2>/dev/null | jq .` 才能正确读到结果。\n *\n * debug：受 `LOREKIT_DEBUG=1` 环境变量控制；不开时静默。\n *\n * 历史：批次 10 之前 `ok` / `bad` 走 stdout，是 CONVENTIONS 已规定但 logger 自己\n * 没落地的 bug（LEGACY P1-3）。本批次修复。\n */\nimport chalk from 'chalk';\n\nconst DEBUG_ENABLED = process.env.LOREKIT_DEBUG === '1';\n\n/** 成功 / 完成提示，绿勾 */\nexport const ok = (msg: string) => console.error(`${chalk.green('✓')} ${msg}`);\n\n/** 失败 / 取消提示，红叉。批次 10 前错误地写 stdout，已修正 */\nexport const bad = (msg: string) => console.error(`${chalk.red('✗')} ${msg}`);\n\n/** 警告：可继续但需注意 */\nexport const warn = (msg: string) => console.error(`${chalk.yellow('lorekit:')} ${msg}`);\n\n/** 错误：致命或已退出条件 */\nexport const err = (msg: string) => console.error(`${chalk.red('lorekit:')} ${msg}`);\n\n/** 一般信息：进度 / 提示 */\nexport const info = (msg: string) => console.error(`${chalk.cyan('ℹ')} ${msg}`);\n\n/** 调试输出：仅当 LOREKIT_DEBUG=1 时打印；其他时候静默 */\nexport const debug = (msg: string) => {\n if (DEBUG_ENABLED) console.error(`${chalk.dim('debug:')} ${msg}`);\n};\n\n/**\n * 原样写一行到 stderr（无前缀 / 无装饰）。\n * 用于 banner / 分隔线 / 空行 / 自定义 chalk 着色的 header 等纯展示内容。\n * 调用方负责自己加 chalk —— 如 `print(chalk.cyan('── 区块 ──'))`。\n */\nexport const print = (msg = '') => console.error(msg);\n\n/**\n * 原样写一行到 **stdout**（机器可读通道）。\n * 用于 JSON / 数据结构 / 任何下游会用 `cmd | jq` 解析的输出。\n * 这是 stdout 的唯一合法 logger 入口（CONVENTIONS Do Not #2）。\n */\nexport const out = (msg: string) => console.log(msg);\n","/**\n * vectordb/files.ts — 文件发现 + 字节工具 + 页摘要抽取\n *\n * 批次 22a strangler fig 第一步：从 src/lib/vectordb.ts copy 出文件层小工具。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换，本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - sha256 / float32ToBuffer / distanceToScore：字节层小工具\n * - shouldIndex / collectFiles：基于 paths.ts 规则的 corpus 文件发现\n * - extractPageSummary：从 markdown 文件抽 \"title: intro\" 形式的页摘要\n *\n * 不依赖 schema.ts（无 db 状态），self-contained 除 paths.ts 与 gray-matter。\n */\n\nimport { createHash } from 'node:crypto';\nimport { readFileSync, readdirSync } from 'node:fs';\nimport { basename, join, relative } from 'node:path';\n\nimport matter from 'gray-matter';\n\nimport { vectorIncludeDirs, vectorExcludePrefixes, vectorExcludeNames } from '../paths.js';\n\n// ---------------------------------------------------------------------------\n// 字节层小工具\n// ---------------------------------------------------------------------------\n\n/**\n * 文件 SHA-256 hex digest。用于 sync 时判断 `.path → updated_at` 是否需要\n * 重新计算 embedding（`sha256` 没变就直接复用旧 chunks）。\n */\nexport function sha256(filePath: string): string {\n const data = readFileSync(filePath);\n return createHash('sha256').update(data).digest('hex');\n}\n\n/**\n * Float32Array → Buffer 零拷贝转换（共享底层 ArrayBuffer），用于把 embedding\n * 写进 sqlite BLOB 列。\n */\nexport function float32ToBuffer(arr: Float32Array): Buffer {\n return Buffer.from(arr.buffer, arr.byteOffset, arr.byteLength);\n}\n\n/**\n * Convert sqlite-vec cosine distance to similarity score.\n * sqlite-vec returns sqrt(2*(1 - cos_sim)), so:\n * score = 1 - distance^2 / 2\n */\nexport function distanceToScore(distance: number): number {\n return 1.0 - (distance * distance) / 2.0;\n}\n\n// ---------------------------------------------------------------------------\n// 文件发现\n// ---------------------------------------------------------------------------\n\n/**\n * 判断给定 corpus 相对路径是否应进向量索引。\n *\n * 规则（来自 paths.ts，CONVENTIONS Do Not #11 集中维护）：\n * 1. 文件名命中 `vectorExcludeNames`（如 `_INDEX.md` / `.gitkeep`）→ 跳\n * 2. 非 `.md` → 跳\n * 3. 路径前缀命中 `vectorExcludePrefixes`（如 `_工作台/` / `_归档/`）→ 跳\n * 4. 路径前缀命中 `vectorIncludeDirs`（如 `知识库/` / `原料/`）→ 收\n * 5. 都不命中 → 跳（保守策略：未明确包含的目录不索引）\n */\nexport function shouldIndex(rel: string): boolean {\n const parts = rel.split('/');\n if (vectorExcludeNames.has(parts[parts.length - 1])) return false;\n if (!rel.endsWith('.md')) return false;\n for (const prefix of vectorExcludePrefixes) {\n if (rel === prefix || rel.startsWith(prefix + '/')) return false;\n }\n for (const inc of vectorIncludeDirs) {\n if (rel === inc || rel.startsWith(inc + '/')) return true;\n }\n return false;\n}\n\n/**\n * 递归收集 corpus 下所有应进索引的 .md 文件，返回排序后的绝对路径列表。\n * 排序保证多次运行得到稳定的 doc_id 顺序，便于 diff debug。\n */\nexport function collectFiles(corpus: string): string[] {\n const results: string[] = [];\n\n function walk(dir: string) {\n let entries;\n try {\n entries = readdirSync(dir, { withFileTypes: true });\n } catch {\n // 目录读不到（权限 / 临时被删）就跳，整体扫描继续。\n return;\n }\n for (const entry of entries) {\n const full = join(dir, entry.name);\n if (entry.isDirectory()) {\n walk(full);\n } else if (entry.name.endsWith('.md')) {\n const rel = relative(corpus, full);\n if (shouldIndex(rel)) {\n results.push(full);\n }\n }\n }\n }\n\n walk(corpus);\n return results.sort();\n}\n\n// ---------------------------------------------------------------------------\n// 页摘要\n// ---------------------------------------------------------------------------\n\n/**\n * 给一个 markdown 文件抽 \"title: intro\" 形式的页摘要，用于 page_summaries 向量。\n *\n * title 优先级：frontmatter.title > 第一个 `# heading` > basename(file, '.md')\n *\n * intro 优先级：`## Compiled Truth` 段（lorekit 知识库页约定的核心摘要节）前 200 字\n * > body 起始前 200 字\n */\nexport function extractPageSummary(filePath: string): string {\n const raw = readFileSync(filePath, 'utf-8');\n const { data: fm, content: body } = matter(raw);\n\n let title = (fm.title as string) || '';\n if (!title) {\n const m = body.match(/^#\\s+(.+)/m);\n title = m ? m[1].trim() : basename(filePath, '.md');\n }\n\n // Try \"## Compiled Truth\" section\n const ctMatch = body.match(/(?:^|\\n)## Compiled Truth\\s*\\n([\\s\\S]*?)(?=\\n## |\\n*$)/);\n const intro = ctMatch ? ctMatch[1].trim().slice(0, 200) : body.trim().slice(0, 200);\n\n return `${title}: ${intro}`;\n}\n","/**\n * vectordb/schema.ts — sqlite schema (DDL) + 数据库打开 + 动态加载 sqlite-vec\n *\n * 批次 22a strangler fig 第一步：从 src/lib/vectordb.ts copy 出 schema 层。\n * 原 vectordb.ts 同名定义仍保留，commands/*.ts 暂未切换，本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - 常量：EMBEDDING_DIM / MODE_THRESHOLD_FILES\n * - 类型：Db / StatusInfo / QueryResult\n * - DDL：4 个 SQL 表 + 3 个 vec0 虚表 + 3 个 fts5 虚表\n * - 入口：loadSqlite() 动态加载 better-sqlite3 + sqlite-vec；openDb() 一站建库\n *\n * 不含 sync / query / build-layered（后续子批负责）。\n */\n\nimport { existsSync, mkdirSync } from 'node:fs';\nimport { join } from 'node:path';\n\nimport type DatabaseNS from 'better-sqlite3';\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\nexport interface QueryResult {\n file: string;\n chunk: string;\n score: number;\n section: string;\n}\n\nexport interface StatusInfo {\n indexed: boolean;\n total_indexable_files?: number;\n indexed_files?: number;\n chunks?: number;\n layered?: { dirs: number; pages: number };\n embedding_dim?: number;\n last_sync?: string | null;\n model?: string | null;\n backend?: string;\n message?: string;\n /**\n * 检索模式推荐（wiki-query skill 直接读这个字段决定路径，不做数值判断）\n * - \"text\" → 走 Read 三层（corpus/index.md → {dir}/_INDEX.md → 具体文件）\n * - \"vector\" → 走向量 layered 召回\n */\n mode?: 'text' | 'vector';\n mode_threshold?: number;\n mode_reason?: string;\n}\n\n// **23c 改**：原 `Db = any` → `DatabaseNS.Database` 精确类型（来自 @types/better-sqlite3\n// 的 namespace 别名 `BetterSqlite3.Database`）。`import type DatabaseNS` 是类型 only，\n// 不引入 runtime 依赖（runtime 仍走 schema.ts 内的 dynamic import 兜可选 dep 缺失）。\n// **重命名 NS 后缀**：避开 loadSqlite() 内部 `let Database = ...` 局部变量 shadowing。\n// 编辑器对 db.prepare/get/run/exec/pragma/close 的智能补全和参数校验恢复正常。\nexport type Db = DatabaseNS.Database;\n\n// ---------------------------------------------------------------------------\n// Constants\n// ---------------------------------------------------------------------------\n\nexport const EMBEDDING_DIM = 1024;\n\n/**\n * 文本模式 ↔ 向量模式的切换阈值（按 indexed_files 计数，不按 chunks）。\n *\n * 为什么按文档数不按 chunks：chunks 会被单文档长度扭曲（一篇 2 万字可能切出 30+ chunks，\n * 但它仍然只是\"一份材料\"）。Karpathy 原文也是按 pages/sources 计数：\n * \"works surprisingly well at moderate scale (~100 sources, ~hundreds of pages)\n * and avoids the need for embedding-based RAG infrastructure.\"\n *\n * 100 = 按 Karpathy 原文的 moderate scale 上界。到这规模之前，Read 三层精度最高；\n * 超过后扁平 Read 太慢，切向量 layered 召回。\n *\n * 先生要调：改这里的数字即可，所有 skill 通过 `lorekit vector status` 读 `mode` 字段\n * 自动跟随。\n */\nexport const MODE_THRESHOLD_FILES = 100;\n\n// 排除 / 包含规则集中在 lib/paths.ts，本文件不再硬编码（CONVENTIONS Do Not #11）。\n\n// ---------------------------------------------------------------------------\n// DDL\n// ---------------------------------------------------------------------------\n\nexport const DDL = `\nCREATE TABLE IF NOT EXISTS documents (\n id INTEGER PRIMARY KEY,\n path TEXT UNIQUE NOT NULL,\n sha256 TEXT NOT NULL,\n updated_at TEXT NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS chunks (\n id INTEGER PRIMARY KEY,\n doc_id INTEGER NOT NULL,\n section TEXT,\n content TEXT NOT NULL,\n embedding BLOB NOT NULL,\n FOREIGN KEY (doc_id) REFERENCES documents(id) ON DELETE CASCADE\n);\n\nCREATE TABLE IF NOT EXISTS meta (\n key TEXT PRIMARY KEY,\n value TEXT\n);\n\nCREATE TABLE IF NOT EXISTS dir_summaries (\n id INTEGER PRIMARY KEY,\n dir_path TEXT UNIQUE NOT NULL,\n summary TEXT NOT NULL,\n embedding BLOB NOT NULL,\n slug_list TEXT NOT NULL DEFAULT '[]'\n);\n\nCREATE TABLE IF NOT EXISTS page_summaries (\n id INTEGER PRIMARY KEY,\n doc_id INTEGER NOT NULL REFERENCES documents(id),\n summary TEXT NOT NULL,\n embedding BLOB NOT NULL\n);\n`;\n\n/**\n * 生成 vec0 虚表 DDL。dim 是 embedding 维度（默认 EMBEDDING_DIM=1024 / bge-m3 模型）。\n *\n * 三个虚表平行存在：\n * - vec_chunks：文档切块向量（rowid 对齐 chunks.id）\n * - vec_dirs：目录摘要向量（rowid 对齐 dir_summaries.id）\n * - vec_pages：页摘要向量（rowid 对齐 page_summaries.id）\n *\n * cosine 距离用于召回时按相似度排序。\n */\nexport function vecDdl(dim: number): string {\n return `\nCREATE VIRTUAL TABLE IF NOT EXISTS vec_chunks USING vec0(\n embedding float[${dim}] distance_metric=cosine\n);\n\nCREATE VIRTUAL TABLE IF NOT EXISTS vec_dirs USING vec0(\n embedding float[${dim}] distance_metric=cosine\n);\n\nCREATE VIRTUAL TABLE IF NOT EXISTS vec_pages USING vec0(\n embedding float[${dim}] distance_metric=cosine\n);\n`;\n}\n\n/**\n * FTS5 虚表 DDL：跟 vec_* 平行存在于同一份 vector.sqlite 里。\n * tokenize='trigram'：对中文友好（每 3 字符滑动窗口），专有名词和日期精确命中。\n * rowid 跟对应 SQL 表的 id 对齐（chunks.id / dir_summaries.id / page_summaries.id）。\n */\nexport const FTS_DDL = `\nCREATE VIRTUAL TABLE IF NOT EXISTS fts_chunks USING fts5(\n content,\n tokenize='trigram'\n);\n\nCREATE VIRTUAL TABLE IF NOT EXISTS fts_dirs USING fts5(\n summary,\n tokenize='trigram'\n);\n\nCREATE VIRTUAL TABLE IF NOT EXISTS fts_pages USING fts5(\n summary,\n tokenize='trigram'\n);\n`;\n\n// ---------------------------------------------------------------------------\n// Dynamic import helper\n// ---------------------------------------------------------------------------\n\n/**\n * 动态加载 better-sqlite3 + sqlite-vec。两者都是 optionalDependencies，\n * 缺失时抛带安装提示的 Error，由调用方决定怎么报给用户。\n *\n * 单独抽出来是为了让其他模块（query / sync / build-layered）也能复用同一份动态加载，\n * 不重复 try/catch。\n */\nexport async function loadSqlite(): Promise<{\n Database: typeof import('better-sqlite3');\n sqliteVec: { load: (db: Db) => void };\n}> {\n let Database: typeof import('better-sqlite3');\n try {\n Database = (await import('better-sqlite3'))\n .default as unknown as typeof import('better-sqlite3');\n } catch {\n throw new Error(\n 'better-sqlite3 is required for the vector engine.\\n' +\n ' Install it: npm install better-sqlite3',\n );\n }\n\n let sqliteVec: { load: (db: Db) => void };\n try {\n const vecMod = await import('sqlite-vec');\n sqliteVec = vecMod as unknown as { load: (db: Db) => void };\n } catch {\n throw new Error(\n 'sqlite-vec is required for the vector engine.\\n' + ' Install it: npm install sqlite-vec',\n );\n }\n\n return { Database, sqliteVec };\n}\n\n// ---------------------------------------------------------------------------\n// openDb — 一站建库 + DDL 应用 + migration\n// ---------------------------------------------------------------------------\n\n/**\n * 打开（必要时创建）`/.wiki/vector.sqlite`，应用所有 DDL，加载 sqlite-vec。\n *\n * 副作用：\n * - 创建 `/.wiki/` 目录（若不存在）\n * - WAL 模式 + 外键开启\n * - migration：dir_summaries.slug_list 字段（21 之前老库可能缺）补 ALTER TABLE\n *\n * 调用方拿到 Db 之后是同步 better-sqlite3 句柄，可直接 prepare/exec/transaction。\n */\nexport async function openDb(corpus: string, dim = EMBEDDING_DIM): Promise {\n const { Database, sqliteVec } = await loadSqlite();\n\n const wikiDir = join(corpus, '.wiki');\n if (!existsSync(wikiDir)) mkdirSync(wikiDir, { recursive: true });\n\n const dbPath = join(wikiDir, 'vector.sqlite');\n // `Database` 的实际 runtime 值是 `BetterSqlite3.DatabaseConstructor`（可 new 的\n // class）；dynamic import 拿回的 `default` 已是构造器本体，直接 new 即可。\n const db = new Database(dbPath);\n sqliteVec.load(db);\n\n db.pragma('journal_mode = WAL');\n db.pragma('foreign_keys = ON');\n db.exec(DDL);\n db.exec(vecDdl(dim));\n db.exec(FTS_DDL);\n\n // Migration: dir_summaries.slug_list 字段是后加的，老库要补。\n // 数据每次 buildLayeredIndex 都会全量重建，ALTER 完留空数组即可。\n const dirCols = db.prepare('PRAGMA table_info(dir_summaries)').all() as {\n name: string;\n }[];\n if (!dirCols.some((c) => c.name === 'slug_list')) {\n db.exec(`ALTER TABLE dir_summaries ADD COLUMN slug_list TEXT NOT NULL DEFAULT '[]'`);\n }\n\n return db;\n}\n","/**\n * Ollama embedding client — calls local ollama /api/embed endpoint.\n */\n\nconst OLLAMA_URL = 'http://localhost:11434/api/embed';\nconst DEFAULT_MODEL = 'bge-m3';\n\nexport async function embed(texts: string[], model = DEFAULT_MODEL): Promise {\n const payload = JSON.stringify({ model, input: texts });\n\n let resp: Response;\n try {\n resp = await fetch(OLLAMA_URL, {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: payload,\n signal: AbortSignal.timeout(120_000),\n });\n } catch (e: unknown) {\n const msg = e instanceof Error ? e.message : String(e);\n throw new Error(\n `Cannot connect to ollama at ${OLLAMA_URL}: ${msg}\\n` +\n ` Make sure ollama is running: ollama serve\\n` +\n ` And the model is pulled: ollama pull ${model}`,\n );\n }\n\n if (!resp.ok) {\n const body = await resp.text().catch(() => '');\n throw new Error(`ollama returned ${resp.status}: ${body}`);\n }\n\n const data = (await resp.json()) as { embeddings?: number[][] };\n const embeddings = data.embeddings ?? [];\n return embeddings.map((e) => new Float32Array(e));\n}\n\nexport async function embedSingle(text: string, model = DEFAULT_MODEL): Promise {\n const results = await embed([text], model);\n return results[0];\n}\n","/**\n * Markdown file chunker — splits .md files into embeddable chunks.\n */\n\nimport { readFileSync } from 'node:fs';\nimport { basename, relative } from 'node:path';\nimport matter from 'gray-matter';\n\nconst MAX_CHUNK_CHARS = 800;\nconst MIN_CHUNK_CHARS = 20;\n\nexport interface Chunk {\n section: string;\n content: string;\n}\n\nexport function chunkFile(filePath: string, corpusRoot: string): Chunk[] {\n const raw = readFileSync(filePath, 'utf-8');\n const { data: fm, content: body } = matter(raw);\n\n let title = (fm.title as string) || '';\n const type = (fm.type as string) || '';\n\n if (!title) {\n const m = body.match(/^#\\s+(.+)/m);\n title = m ? m[1].trim() : basename(filePath, '.md');\n }\n\n // Split body by ## headings\n const parts = body.split(/^(## .+)$/m);\n\n const sections: Array<[string, string]> = [];\n if (parts[0].trim()) {\n sections.push(['_intro', parts[0]]);\n }\n for (let i = 1; i < parts.length - 1; i += 2) {\n const heading = parts[i].replace(/^#+\\s*/, '').trim();\n const secBody = i + 1 < parts.length ? parts[i + 1] : '';\n sections.push([heading, secBody]);\n }\n\n let prefix = '';\n if (title) prefix += `[${title}] `;\n if (type) prefix += `[${type}] `;\n\n const chunks: Chunk[] = [];\n\n for (const [heading, secBody] of sections) {\n const trimmed = secBody.trim();\n if (!trimmed || trimmed.length < MIN_CHUNK_CHARS) continue;\n\n if (trimmed.length > MAX_CHUNK_CHARS) {\n const paragraphs = trimmed.split('\\n\\n');\n let current = '';\n for (const p of paragraphs) {\n if (current.length + p.length > MAX_CHUNK_CHARS && current) {\n chunks.push({ section: heading, content: prefix + current.trim() });\n current = p;\n } else {\n current = current ? current + '\\n\\n' + p : p;\n }\n }\n if (current.trim()) {\n chunks.push({ section: heading, content: prefix + current.trim() });\n }\n } else {\n chunks.push({ section: heading, content: prefix + trimmed });\n }\n }\n\n return chunks;\n}\n","/**\n * vectordb/sync.ts — 单文件增量同步（写路径）\n *\n * 批次 22b strangler fig 第二步：从 src/lib/vectordb.ts copy 出 syncFile。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - 拿到一个 corpus 内的 markdown 路径 + db 句柄 + embed 回调，把该文件的 chunks\n * 全量重建（先级联清旧 doc → 重新切块 → embed → 写 documents/chunks/vec_chunks/fts_chunks）\n * - **不**重建 page_summaries / vec_pages / fts_pages（那是 buildLayeredIndex 的活）\n *\n * 调用流程上由 commands/vector.ts 的 sync 子命令在 collectFiles 列表上 batch 调用。\n */\n\nimport { relative } from 'node:path';\n\nimport { sha256, float32ToBuffer } from './files.js';\nimport type { Db } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\n/**\n * embedding 回调签名。inline 定义保持 22b 不依赖未上提的共享类型；22e/22f 收尾时\n * 若 query 系列子批也用到再考虑上提到 schema.ts（当前 grep 仅 sync/build-layered 用到）。\n */\ntype EmbedFn = (texts: string[]) => Promise;\n\n// ---------------------------------------------------------------------------\n// syncFile\n// ---------------------------------------------------------------------------\n\n/**\n * 单文件全量重建：\n * 1. 查 documents.path == rel 的旧 doc，存在则先级联清 chunks/vec_chunks/fts_chunks\n * + page_summaries/vec_pages/fts_pages，再删 documents\n * - **顺序敏感**：page_summaries 有 FK ON documents(id)，必须先于 documents 删\n * - vec_* / fts_* 是 sqlite-vec / FTS5 的虚表，rowid 跟对应 SQL 表 id 对齐，\n * 手动 DELETE WHERE rowid = ?；不能依赖外键级联\n * 2. INSERT documents（path / sha256 / updated_at）\n * 3. chunkFile() 切块；空 chunks 直接返回\n * 4. embedFn(texts) 批量 embed\n * 5. 逐 chunk INSERT chunks → 拿 last_insert_rowid → INSERT vec_chunks(rowid) 同 id\n * → INSERT fts_chunks(rowid) 同 id\n *\n * 副作用：仅写入；返回 `{ chunks: number }` 让调用方汇总。\n */\nexport async function syncFile(\n db: Db,\n filePath: string,\n corpus: string,\n embedFn: EmbedFn,\n): Promise<{ chunks: number }> {\n const { chunkFile } = await import('../chunker.js');\n\n const rel = relative(corpus, filePath);\n const sha = sha256(filePath);\n\n // Remove old data — chunks / page_summaries 都引用 documents.id，要级联清；\n // 每张 virtual table（vec_*, fts_*）的 rowid 跟对应 SQL 表的 id 一一对应。\n const old = db.prepare('SELECT id FROM documents WHERE path = ?').get(rel) as\n | { id: number }\n | undefined;\n if (old) {\n // 1. chunks + vec_chunks + fts_chunks\n const chunkIds = db.prepare('SELECT id FROM chunks WHERE doc_id = ?').all(old.id) as {\n id: number;\n }[];\n const delVecChunk = db.prepare('DELETE FROM vec_chunks WHERE rowid = ?');\n const delFtsChunk = db.prepare('DELETE FROM fts_chunks WHERE rowid = ?');\n for (const { id } of chunkIds) {\n delVecChunk.run(id);\n delFtsChunk.run(id);\n }\n db.prepare('DELETE FROM chunks WHERE doc_id = ?').run(old.id);\n\n // 2. page_summaries + vec_pages + fts_pages（外键拦 documents 删除，必须先清）\n const pageIds = db.prepare('SELECT id FROM page_summaries WHERE doc_id = ?').all(old.id) as {\n id: number;\n }[];\n const delVecPage = db.prepare('DELETE FROM vec_pages WHERE rowid = ?');\n const delFtsPage = db.prepare('DELETE FROM fts_pages WHERE rowid = ?');\n for (const { id } of pageIds) {\n delVecPage.run(id);\n delFtsPage.run(id);\n }\n db.prepare('DELETE FROM page_summaries WHERE doc_id = ?').run(old.id);\n\n // 3. 最后删 documents\n db.prepare('DELETE FROM documents WHERE id = ?').run(old.id);\n }\n\n const now = new Date().toISOString();\n db.prepare('INSERT INTO documents (path, sha256, updated_at) VALUES (?, ?, ?)').run(\n rel,\n sha,\n now,\n );\n const docRow = db.prepare('SELECT id FROM documents WHERE path = ?').get(rel) as {\n id: number;\n };\n const docId = docRow.id;\n\n const chunks = chunkFile(filePath, corpus);\n if (chunks.length === 0) return { chunks: 0 };\n\n const texts = chunks.map((c) => c.content);\n const embeddings = await embedFn(texts);\n\n const insertChunk = db.prepare(\n 'INSERT INTO chunks (doc_id, section, content, embedding) VALUES (?, ?, ?, ?)',\n );\n const insertFts = db.prepare('INSERT INTO fts_chunks(rowid, content) VALUES (?, ?)');\n for (let i = 0; i < chunks.length; i++) {\n const blob = float32ToBuffer(embeddings[i]);\n insertChunk.run(docId, chunks[i].section, chunks[i].content, blob);\n const chunkId = Number(\n (db.prepare('SELECT last_insert_rowid() as id').get() as { id: bigint }).id,\n );\n // vec0 doesn't support bound params for rowid — must inline\n db.prepare(`INSERT INTO vec_chunks (rowid, embedding) VALUES (${chunkId}, ?)`).run(blob);\n insertFts.run(chunkId, chunks[i].content);\n }\n\n return { chunks: chunks.length };\n}\n","/**\n * vectordb/build-layered-index.ts — L0/L1 分层索引重建（写路径）\n *\n * 批次 22b strangler fig 第二步：从 src/lib/vectordb.ts copy 出 buildLayeredIndex\n * + 3 个内部 helper（parseIndexSections / parseIndexEntries / findAllIndexFiles）。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - L0: 从 `corpus/index.md` 按 `## section` 切，每段一条 vec_dirs / fts_dirs 行\n * - L1: 从所有 `{dir}/_INDEX.md` 表格行解析，每条目一条 vec_pages / fts_pages 行\n * （summary 入向量；slug + summary 入 FTS）\n * - 重建是\"全量替换\"：先 DELETE FROM dir_summaries / vec_dirs / fts_dirs / page_*\n *\n * 依赖 syncFile 已先跑过：因为 L1 用 `slug → doc_id` 映射，doc_id 来自 documents 表\n * （sync 阶段建立）。typical commands/vector.ts sync 流程：collectFiles → syncFile loop\n * → buildLayeredIndex。\n *\n * **23a 改动**：7 处进度提示 `console.log` → `logger.info`（stderr，不污染\n * `lorekit sync | jq` 管道）。findAllIndexFiles 的沉默 catch → `logger.warn` +\n * 注释说明为何可以继续。对应 LEGACY P2-2 / P2-4 vectordb 残留清零。\n */\n\nimport { existsSync, readFileSync, readdirSync } from 'node:fs';\nimport { join, relative } from 'node:path';\n\nimport matter from 'gray-matter';\n\nimport { vectorExcludePrefixes } from '../paths.js';\nimport * as logger from '../../utils/logger.js';\nimport { float32ToBuffer } from './files.js';\nimport type { Db } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\n/**\n * embedding 回调签名。inline 同 sync.ts；22e/22f 收尾决定是否上提到 schema.ts。\n */\ntype EmbedFn = (texts: string[]) => Promise;\n\n// ---------------------------------------------------------------------------\n// parseIndexSections — 解析 corpus/index.md 的 ## 分区\n// ---------------------------------------------------------------------------\n\n/**\n * 把 `corpus/index.md` 按 `## section name` 切成多段。\n *\n * 仅返回\"含至少一行 `- [[xxx]]` 或 `* [[xxx]]` 条目\"的分区——纯说明性段（如\n * \"## How to use this wiki\" 不含 wikilink 列表）会被滤掉，不进 L0 向量。\n *\n * 每段返回：\n * - `name`：section 标题（去 ## 与首尾空白）\n * - `text`：完整段文本（含 `## name` 行 + 后续所有行 join('\\n').trim()）\n * - `slugs`：去重后的主 slug 列表（每行 `- [[slug]]` 或 `* [[slug]]` 取 wikilink 第一个）\n */\nfunction parseIndexSections(\n content: string,\n): Array<{ name: string; text: string; slugs: string[] }> {\n const lines = content.split('\\n');\n const sections: Array<{ name: string; lines: string[] }> = [];\n let current: { name: string; lines: string[] } | null = null;\n\n for (const line of lines) {\n const m = line.match(/^##\\s+(.+?)\\s*$/);\n if (m) {\n if (current) sections.push(current);\n current = { name: m[1].trim(), lines: [line] };\n } else if (current) {\n current.lines.push(line);\n }\n }\n if (current) sections.push(current);\n\n // 每条目主 slug：行首 `- [[slug]]`（或 `* [[slug]]`），只取第一个 wikilink\n const entrySlugRe = /^\\s*[-*]\\s*\\[\\[([^\\]|#]+?)\\]\\]/;\n\n return sections\n .filter((s) => /^\\s*[-*]\\s/m.test(s.lines.slice(1).join('\\n')))\n .map((s) => {\n const slugs: string[] = [];\n for (const line of s.lines.slice(1)) {\n const m = line.match(entrySlugRe);\n if (m) slugs.push(m[1].trim());\n }\n return {\n name: s.name,\n text: s.lines.join('\\n').trim(),\n slugs: [...new Set(slugs)],\n };\n });\n}\n\n// ---------------------------------------------------------------------------\n// parseIndexEntries — 解析 {dir}/_INDEX.md 的表格行\n// ---------------------------------------------------------------------------\n\n/**\n * 解析 `{dir}/_INDEX.md` 表格行：`| [[slug]] | summary | updated |`\n * 跳过表头（含\"条目\"二字）和分隔行（全是 - 和 |）\n */\nfunction parseIndexEntries(content: string): Array<{ slug: string; summary: string }> {\n const lines = content.split('\\n');\n const entries: Array<{ slug: string; summary: string }> = [];\n\n for (const line of lines) {\n if (/^\\|\\s*条目\\s*\\|/.test(line)) continue;\n if (/^\\|[\\s\\-|]+\\|?\\s*$/.test(line)) continue;\n\n const m = line.match(/^\\|\\s*\\[\\[([^\\]|#]+?)\\]\\]\\s*\\|\\s*(.*?)\\s*\\|\\s*(.*?)\\s*\\|/);\n if (!m) continue;\n const slug = m[1].trim();\n const summary = m[2].replace(/\\\\\\|/g, '|').trim();\n entries.push({ slug, summary });\n }\n\n return entries;\n}\n\n// ---------------------------------------------------------------------------\n// findAllIndexFiles — 递归找所有 _INDEX.md\n// ---------------------------------------------------------------------------\n\n/**\n * 递归扫 corpus 找所有 `_INDEX.md`，复用 paths.ts 的 vectorExcludePrefixes 排除规则。\n * 同时跳过 `.` 起头的目录（.git / .wiki / .obsidian 等约定隐藏目录）。\n */\nfunction findAllIndexFiles(corpus: string): string[] {\n const results: string[] = [];\n\n function walk(dir: string) {\n let entries;\n try {\n entries = readdirSync(dir, { withFileTypes: true });\n } catch (e) {\n // 目录读不到（权限 / 临时被删 / 扫到 symlink 循环）就跳，整体扫描继续。\n logger.warn(`findAllIndexFiles: skip ${dir} (${(e as Error).message})`);\n return;\n }\n for (const entry of entries) {\n if (entry.name.startsWith('.')) continue;\n const full = join(dir, entry.name);\n const rel = relative(corpus, full);\n if (vectorExcludePrefixes.some((p) => rel === p || rel.startsWith(p + '/'))) continue;\n\n if (entry.isDirectory()) {\n walk(full);\n } else if (entry.name === '_INDEX.md') {\n results.push(full);\n }\n }\n }\n walk(corpus);\n return results.sort();\n}\n\n// ---------------------------------------------------------------------------\n// buildLayeredIndex — L0 + L1 全量重建\n// ---------------------------------------------------------------------------\n\nexport async function buildLayeredIndex(db: Db, corpus: string, embedFn: EmbedFn): Promise {\n // --- L0: 从 corpus/index.md 按 ## 分区切，每区一条向量 + 一条 FTS ---\n db.prepare('DELETE FROM dir_summaries').run();\n db.prepare('DELETE FROM vec_dirs').run();\n db.prepare('DELETE FROM fts_dirs').run();\n\n const indexPath = join(corpus, 'index.md');\n if (!existsSync(indexPath)) {\n logger.info(' L0: corpus/index.md not found, skipped');\n } else {\n const raw = readFileSync(indexPath, 'utf-8');\n const { content } = matter(raw);\n const sections = parseIndexSections(content);\n\n if (sections.length === 0) {\n logger.info(' L0: no sections with entries in index.md, skipped');\n } else {\n const texts = sections.map((s) => s.text);\n const embeddings = await embedFn(texts);\n\n const insertDir = db.prepare(\n 'INSERT INTO dir_summaries (dir_path, summary, embedding, slug_list) VALUES (?, ?, ?, ?)',\n );\n const insertFtsDir = db.prepare('INSERT INTO fts_dirs(rowid, summary) VALUES (?, ?)');\n for (let i = 0; i < sections.length; i++) {\n const blob = float32ToBuffer(embeddings[i]);\n const slugListJson = JSON.stringify(sections[i].slugs);\n insertDir.run(sections[i].name, sections[i].text, blob, slugListJson);\n const dirId = Number(\n (db.prepare('SELECT last_insert_rowid() as id').get() as { id: bigint }).id,\n );\n db.prepare(`INSERT INTO vec_dirs (rowid, embedding) VALUES (${dirId}, ?)`).run(blob);\n insertFtsDir.run(dirId, sections[i].text);\n }\n const totalSlugs = sections.reduce((a, s) => a + s.slugs.length, 0);\n logger.info(\n ` L0: indexed ${sections.length} sections from index.md (${totalSlugs} slugs tracked)`,\n );\n }\n }\n\n // --- L1: 从各 _INDEX.md 的每行条目，每条一条向量 + 一条 FTS ---\n db.prepare('DELETE FROM page_summaries').run();\n db.prepare('DELETE FROM vec_pages').run();\n db.prepare('DELETE FROM fts_pages').run();\n\n const indexFiles = findAllIndexFiles(corpus);\n if (indexFiles.length === 0) {\n logger.info(' L1: no _INDEX.md found, skipped');\n return;\n }\n\n const allEntries: Array<{ slug: string; summary: string }> = [];\n for (const f of indexFiles) {\n const raw = readFileSync(f, 'utf-8');\n allEntries.push(...parseIndexEntries(raw));\n }\n\n if (allEntries.length === 0) {\n logger.info(' L1: no entries parsed from _INDEX.md, skipped');\n return;\n }\n\n // 建 slug → doc_id 映射（兼容目录包装式和去/不去 .md 后缀）\n const docRows = db.prepare('SELECT id, path FROM documents').all() as {\n id: number;\n path: string;\n }[];\n const slugToDocId = new Map();\n for (const { id, path } of docRows) {\n slugToDocId.set(path, id);\n slugToDocId.set(path.replace(/\\.md$/, ''), id);\n if (path.endsWith('/article.md')) {\n slugToDocId.set(path.replace(/\\/article\\.md$/, ''), id);\n }\n }\n\n const matched: Array<{ docId: number; text: string; slug: string }> = [];\n let unmatched = 0;\n for (const e of allEntries) {\n const docId = slugToDocId.get(e.slug);\n if (docId === undefined) {\n unmatched++;\n continue;\n }\n // 向量输入用 summary；summary 缺失时退回 slug（至少有语义路径）\n const text =\n e.summary && e.summary !== '—' && e.summary !== '（缺少 frontmatter）' ? e.summary : e.slug;\n matched.push({ docId, text, slug: e.slug });\n }\n\n if (matched.length === 0) {\n logger.info(' L1: no _INDEX.md entries matched documents, skipped');\n return;\n }\n\n const BATCH = 64;\n const insertPage = db.prepare(\n 'INSERT INTO page_summaries (doc_id, summary, embedding) VALUES (?, ?, ?)',\n );\n const insertFtsPage = db.prepare('INSERT INTO fts_pages(rowid, summary) VALUES (?, ?)');\n for (let i = 0; i < matched.length; i += BATCH) {\n const batch = matched.slice(i, i + BATCH);\n const texts = batch.map((m) => m.text);\n const embeddings = await embedFn(texts);\n for (let j = 0; j < batch.length; j++) {\n const blob = float32ToBuffer(embeddings[j]);\n insertPage.run(batch[j].docId, batch[j].text, blob);\n const pageId = Number(\n (db.prepare('SELECT last_insert_rowid() as id').get() as { id: bigint }).id,\n );\n db.prepare(`INSERT INTO vec_pages (rowid, embedding) VALUES (${pageId}, ?)`).run(blob);\n // FTS 索引内容 = slug + summary，让 BM25 也能通过路径（含实体名）命中；\n // 向量只索引 summary，保持语义纯净不被路径噪声污染。\n insertFtsPage.run(pageId, `${batch[j].slug} ${batch[j].text}`);\n }\n }\n\n let msg = ` L1: indexed ${matched.length} entries from ${indexFiles.length} _INDEX.md`;\n if (unmatched > 0) msg += ` (${unmatched} unmatched slug, skipped)`;\n logger.info(msg);\n}\n","/**\n * vectordb/query-flat.ts — 单层向量召回（最简实现，对照 layered 的 baseline）\n *\n * 批次 22c strangler fig 第三步：从 src/lib/vectordb.ts copy 出 queryFlat。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - 单一 vec_chunks 表 ANN top-K 召回\n * - threshold 过滤后 JOIN documents 拿 file path 与 section 元数据\n * - 不做分层、不做 parent boost、不做 BM25 融合（那些在 query-layered / query-bm25 /\n * query-hybrid 各自负责）\n *\n * 适用：调试 / 小语料 / 不想要 layered 复杂逻辑时；commands/vector.ts 的\n * `vector query` 默认走 queryHybrid，flat 通过显式 flag 触发。\n */\n\nimport { distanceToScore, float32ToBuffer } from './files.js';\nimport type { Db, QueryResult } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// queryFlat\n// ---------------------------------------------------------------------------\n\n/**\n * 单层向量 query：\n * - vec_chunks MATCH ? ORDER BY distance LIMIT topK\n * - 距离 → 相似度（distanceToScore：1 - d²/2）\n * - 低于 threshold 的 chunk 丢弃\n * - 用 chunks.id JOIN documents 拿 path / section\n *\n * 返回的 QueryResult.score 保留 4 位小数（`Math.round(score * 10000) / 10000`），\n * 跟 layered / bm25 / hybrid 的输出保持一致便于下游对比。\n */\nexport function queryFlat(\n db: Db,\n embedding: Float32Array,\n topK: number,\n threshold: number,\n): QueryResult[] {\n const blob = float32ToBuffer(embedding);\n\n const rows = db\n .prepare(\n `SELECT v.rowid as id, v.distance\n FROM vec_chunks v\n WHERE v.embedding MATCH ? AND k = ?\n ORDER BY v.distance`,\n )\n .all(blob, topK) as { id: number; distance: number }[];\n\n const results: QueryResult[] = [];\n const getChunk = db.prepare(\n `SELECT c.content, c.section, d.path\n FROM chunks c JOIN documents d ON c.doc_id = d.id\n WHERE c.id = ?`,\n );\n\n for (const row of rows) {\n const score = distanceToScore(row.distance);\n if (score < threshold) continue;\n const cr = getChunk.get(row.id) as\n | { content: string; section: string; path: string }\n | undefined;\n if (cr) {\n results.push({\n file: cr.path,\n chunk: cr.content,\n score: Math.round(score * 10000) / 10000,\n section: cr.section,\n });\n }\n }\n\n return results;\n}\n","/**\n * vectordb/query-layered.ts — L0/L1/L2 三层向量召回\n *\n * 批次 22c strangler fig 第三步：从 src/lib/vectordb.ts copy 出 queryLayered。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 三层结构（基于 buildLayeredIndex 建立的索引）：\n *\n * - **L0** vec_dirs：top-3 sections（index.md 的 ## 分区向量）\n * → 用 dir_summaries.slug_list 收集\"覆盖到的所有候选 slug\"\n *\n * - **L1** vec_pages：在 L0 候选 doc_id 范围内召回 top-5 pages\n * → searchK = min(候选页数, 50)；vec0 只能限 K 不能限范围，先全召回再 filter\n *\n * - **L2** vec_chunks：在 L1 命中页的 chunks 范围内召回 topK\n * → searchK2 = min(候选 chunks 数, topK*5)；同样先召回再 filter\n *\n * 每层任意阶段命中为空 → 短路返回 `[]`（不退化到全库 flat 召回）。\n *\n * 设计取舍：分层把\"语义召回\"分阶段约束在\"结构相关\"的子集，避免大库 ANN\n * 误命中冷门文档。代价是命中阈值越低 / 库规模越小时，可能比 flat 漏召。\n */\n\nimport { distanceToScore, float32ToBuffer } from './files.js';\nimport type { Db, QueryResult } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// queryLayered\n// ---------------------------------------------------------------------------\n\nexport function queryLayered(\n db: Db,\n embedding: Float32Array,\n topK: number,\n threshold: number,\n): QueryResult[] {\n const blob = float32ToBuffer(embedding);\n\n // **23c 改：cap 联动 topK** —— 3/5 是 Karpathy 原文 baseline（小 topK 精度优先），\n // topK 上来时按比例放大避免过早收窄。topK=10 默认：L0_K=3, L1_CAP=5（向后兼容）。\n // topK=100 时：L0_K=10, L1_CAP=20，让 L0 覆盖更多分区 / L1 保留更多候选页。\n const L0_K = Math.max(3, Math.ceil(topK / 10));\n const L1_CAP = Math.max(5, Math.ceil(topK / 5));\n\n // L0: top-L0_K sections（分区向量，每个分区 = index.md 里一个 ## 区块）\n const l0Rows = db\n .prepare(\n `SELECT v.rowid as id, v.distance\n FROM vec_dirs v\n WHERE v.embedding MATCH ? AND k = ?\n ORDER BY v.distance`,\n )\n .all(blob, L0_K) as { id: number; distance: number }[];\n\n if (l0Rows.length === 0) return [];\n\n // 从 dir_summaries.slug_list 拿 L0 命中分区覆盖的所有 slug\n const dirIds = l0Rows.map((r) => r.id);\n const dirRows = db\n .prepare(`SELECT slug_list FROM dir_summaries WHERE id IN (${dirIds.map(() => '?').join(',')})`)\n .all(...dirIds) as { slug_list: string }[];\n\n const candidateSlugs = new Set();\n for (const row of dirRows) {\n try {\n const list = JSON.parse(row.slug_list) as string[];\n for (const s of list) candidateSlugs.add(s);\n } catch {\n // slug_list 异常（老库未迁移时可能是空串）→ 跳过\n }\n }\n\n if (candidateSlugs.size === 0) return [];\n\n // 把 slug 映射成 doc_id（兼容目录包装式 slug、去/不去 .md 后缀）\n // **23c 改：变量 rename** `candidateDocIds` → `L0CandidateDocIds` 按层语义命名\n const docRows = db.prepare('SELECT id, path FROM documents').all() as {\n id: number;\n path: string;\n }[];\n const L0CandidateDocIds = new Set();\n for (const { id, path } of docRows) {\n const stem = path.replace(/\\.md$/, '');\n const folderSlug = path.endsWith('/article.md') ? path.replace(/\\/article\\.md$/, '') : null;\n if (candidateSlugs.has(path) || candidateSlugs.has(stem)) {\n L0CandidateDocIds.add(id);\n } else if (folderSlug && candidateSlugs.has(folderSlug)) {\n L0CandidateDocIds.add(id);\n }\n }\n\n if (L0CandidateDocIds.size === 0) return [];\n\n // L1: top-L1_CAP pages，候选限定在 L0 命中分区覆盖的 doc_id\n // **23c 改：变量 rename** `docIdArr` → `L0CandidateDocIdArr`（L0 doc_id 的 array view）\n const L0CandidateDocIdArr = [...L0CandidateDocIds];\n const candidatePageIds = db\n .prepare(\n `SELECT id FROM page_summaries WHERE doc_id IN (${L0CandidateDocIdArr.map(() => '?').join(',')})`,\n )\n .all(...L0CandidateDocIdArr) as { id: number }[];\n\n if (candidatePageIds.length === 0) return [];\n\n const searchK = Math.min(candidatePageIds.length, 50);\n const l1Rows = db\n .prepare(\n `SELECT v.rowid as id, v.distance\n FROM vec_pages v\n WHERE v.embedding MATCH ? AND k = ?\n ORDER BY v.distance`,\n )\n .all(blob, searchK) as { id: number; distance: number }[];\n\n const candidateSet = new Set(candidatePageIds.map((r) => r.id));\n const l1Filtered = l1Rows.filter((r) => candidateSet.has(r.id)).slice(0, L1_CAP);\n\n if (l1Filtered.length === 0) return [];\n\n // Get doc_ids from matched page summaries\n // **23c 改：变量 rename** `docIds` → `L1CandidateDocIds`（L1 命中页对应的 doc_id 对象数组）\n const pageIds = l1Filtered.map((r) => r.id);\n const L1CandidateDocIds = db\n .prepare(\n `SELECT DISTINCT doc_id FROM page_summaries WHERE id IN (${pageIds.map(() => '?').join(',')})`,\n )\n .all(...pageIds) as { doc_id: number }[];\n\n if (L1CandidateDocIds.length === 0) return [];\n\n // L2: chunks within matched docs\n // **23c 改：变量 rename** `docIdList` → `L1CandidateDocIdList`（plain number[] 形式）\n const L1CandidateDocIdList = L1CandidateDocIds.map((r) => r.doc_id);\n const candidateChunkIds = db\n .prepare(\n `SELECT id FROM chunks WHERE doc_id IN (${L1CandidateDocIdList.map(() => '?').join(',')})`,\n )\n .all(...L1CandidateDocIdList) as { id: number }[];\n\n if (candidateChunkIds.length === 0) return [];\n\n const searchK2 = Math.min(candidateChunkIds.length, topK * 5);\n const l2Rows = db\n .prepare(\n `SELECT v.rowid as id, v.distance\n FROM vec_chunks v\n WHERE v.embedding MATCH ? AND k = ?\n ORDER BY v.distance`,\n )\n .all(blob, searchK2) as { id: number; distance: number }[];\n\n const chunkSet = new Set(candidateChunkIds.map((r) => r.id));\n const l2Filtered = l2Rows.filter((r) => chunkSet.has(r.id)).slice(0, topK);\n\n const results: QueryResult[] = [];\n const getChunk = db.prepare(\n `SELECT c.content, c.section, d.path\n FROM chunks c JOIN documents d ON c.doc_id = d.id\n WHERE c.id = ?`,\n );\n\n for (const row of l2Filtered) {\n const score = distanceToScore(row.distance);\n if (score < threshold) continue;\n const cr = getChunk.get(row.id) as\n | { content: string; section: string; path: string }\n | undefined;\n if (cr) {\n results.push({\n file: cr.path,\n chunk: cr.content,\n score: Math.round(score * 10000) / 10000,\n section: cr.section,\n });\n }\n }\n\n return results;\n}\n","/**\n * vectordb/query-bm25.ts — BM25（FTS5）chunk 层直查\n *\n * **批次 24-fix（2026-04-19）重写**：原 layered 三层 (fts_dirs → fts_pages →\n * fts_chunks) 在 21 引入时设计错误——L0 的 dir 摘要只含目录标题 + wikilink 列表，\n * **不含正文**，用户关键词几乎永不命中 L0；一旦 L0 空集整条链路 `return []`，\n * 导致 `lorekit vector query --bm25 --text \"browser-use\"` 这种最朴素的调用\n * 返回空。这个缺陷隐藏在 hybrid 融合后（向量路补救），22 系列 byte-level 拆分\n * 验证没抓到，22f 真实 ingest 验收时先生发现真实 corpus 里 BM25 永远空才暴露。\n *\n * 方案 X（规划方批准）：BM25 不分层，直接 fts_chunks MATCH + rank 排 topK。\n * 依据：\n * - BM25 本身就用 rank 排精度，不需要 L0/L1 预先缩候选集\n * - dir / page 摘要不含正文是架构事实（buildLayeredIndex 写入语义），不是 bug\n * - 向量路的 queryLayered 保留 L0 gate（向量相似度下 L0 能做语义 gate）\n *\n * 函数名 / 签名 / 返回类型全部保留，commands / query-hybrid 无需改 import。\n *\n * 适用：精确实体名 / 日期 / 专有名词召回（\"Harness\" / \"Anthropic\" / \"2026-04-15\"）。\n * 中英混合复合短语建议走向量或 hybrid。\n */\n\nimport * as logger from '../../utils/logger.js';\nimport type { Db, QueryResult } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// sanitizeFtsQuery — FTS5 查询字符串清洗\n// ---------------------------------------------------------------------------\n\n/**\n * FTS5 查询字符串清洗：\n * - 去掉 FTS5 运算符字符（\" * : ^ ( )）和保留关键字（OR/AND/NOT/NEAR）\n * - trigram tokenizer 下短于 3 字符的 token 无法命中，过滤掉\n * - 多 token 之间用空格连接（FTS5 默认 AND 语义）\n *\n * 为什么不用短语搜索（\"...\"）：短语要求整条 trigram 序列完全连续匹配，中英混合\n * 或带空格的 query 几乎永远命中不上。默认 AND 更宽松，跟 BM25 的\"精确关键词\"\n * 定位一致——先生查\"Harness\"/\"Anthropic\"这种精确实体名能命中；查\"Harness 五版\n * 演化\"这种复合短语 BM25 空是合理的（语义匹配应该走向量或 Hybrid）。\n *\n * **23b 修**：`\\d{4}-\\d{2}-\\d{2}` 完整 ISO 日期 protect-and-restore，避免被\n * `-` 拆 token 退化为 `2026`。流程：\n * 1. 提取所有 ISO 日期，用 `__DATE0__` / `__DATE1__` 占位符替换（前后空格保证分词）\n * 2. 跑现有 sanitize（占位符 `_` 不在 FTS5 运算符 set 里，整串 9 字符 > 3 通过过滤）\n * 3. 把占位符还原为 `\"YYYY-MM-DD\"`（双引号包裹让 FTS5 当 phrase token，\n * 避免 `-` 被解析成 NOT 前缀）\n *\n * 不识别 `2026/04/15`（`/` 不在原 sanitize 拆分字符里，本来就 OK 不需要保护）。\n * 不识别 `2026-4-15`（年月日不补 0 的非标准格式，避免误识别行内 hyphenated 词如\n * `self-hosted`）。\n */\nfunction sanitizeFtsQuery(q: string): string {\n // 1. protect ISO dates\n const dates: string[] = [];\n const protectedQ = q.replace(/\\d{4}-\\d{2}-\\d{2}/g, (m) => {\n const i = dates.length;\n dates.push(m);\n return ` __DATE${i}__ `;\n });\n\n // 2. 现有 sanitize 流程\n // FTS5 运算符：\" * : ^ ( ) - +（`-` 前缀是 NOT，内部的 `-` 也会让日期类 query 失效）\n let s = protectedQ.replace(/[\"*:^()\\-+]/g, ' ');\n s = s.replace(/\\b(OR|AND|NOT|NEAR)\\b/gi, ' ');\n s = s.replace(/\\s+/g, ' ').trim();\n if (!s) return '';\n const tokens = s.split(' ').filter((t) => t.length >= 3);\n if (tokens.length === 0) return '';\n\n // 3. 还原占位符为 quoted 完整日期（FTS5 phrase syntax）\n const restored = tokens.map((t) => {\n const m = t.match(/^__DATE(\\d+)__$/);\n return m ? `\"${dates[Number(m[1])]}\"` : t;\n });\n return restored.join(' ');\n}\n\n// ---------------------------------------------------------------------------\n// queryBM25Layered — BM25 chunk 层直查（名字保留，语义改为单层）\n// ---------------------------------------------------------------------------\n\n/**\n * BM25 召回：fts_chunks MATCH + rank 排序，topK 截断。\n *\n * **不再走 layered 三层**——L0/L1 的 dir/page 摘要不含正文，永不命中用户关键词\n * （详见文件头注释）。改为对 fts_chunks 直接 MATCH，rank 列就是 BM25 负数，\n * 越小越相关；返回时归一为正数。\n *\n * 命名保留 `queryBM25Layered` 是为了兼容现有 import（query-hybrid / commands/vector /\n * lib/vectordb/index）。后续批次若要改名，整个 import 图一起改。\n *\n * 失败路径：FTS5 对 sanitizeFtsQuery 后的 query 仍可能因边界 token 抛错（纯 trigram\n * 不可分串），catch 后返回 `[]` 让上层 hybrid 优雅降级到纯向量；失败原因走 stderr\n * 便于 debug。\n */\nexport function queryBM25Layered(db: Db, queryText: string, topK: number): QueryResult[] {\n const ftsQ = sanitizeFtsQuery(queryText);\n if (!ftsQ) return [];\n\n let rows: {\n rank: number;\n content: string;\n section: string | null;\n path: string;\n }[] = [];\n try {\n rows = db\n .prepare(\n `SELECT fc.rank as rank, c.content as content, c.section as section, d.path as path\n FROM fts_chunks fc\n JOIN chunks c ON fc.rowid = c.id\n JOIN documents d ON c.doc_id = d.id\n WHERE fc.fts_chunks MATCH ?\n ORDER BY fc.rank\n LIMIT ?`,\n )\n .all(ftsQ, topK) as {\n rank: number;\n content: string;\n section: string | null;\n path: string;\n }[];\n } catch (e) {\n // FTS5 边界 token 失败 → BM25 整体降级为空，上层 hybrid 回退纯向量\n logger.warn(`queryBM25Layered fts5 match: ${(e as Error).message}`);\n return [];\n }\n\n return rows.map((r) => ({\n file: r.path,\n chunk: r.content,\n // FTS5 rank 是负数（越小越相关），取绝对值作为正向分数；归一化留给 RRF\n score: Math.round(-r.rank * 10000) / 10000,\n section: r.section ?? '',\n }));\n}\n","/**\n * vectordb/query-hybrid.ts — 向量 + BM25 双路 RRF 融合\n *\n * 批次 22d strangler fig 第四步：从 src/lib/vectordb.ts copy 出 rrfMerge + queryHybrid。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 这是 4 路 query（flat / layered / bm25 / hybrid）里的\"组合\"端，自身不写 db query：\n * - 调 22c 的 `queryLayered` 拿向量三层结果\n * - 调本批的 `queryBM25Layered` 拿 BM25 三层结果\n * - 用 `rrfMerge` 把两路按 Reciprocal Rank Fusion 合并\n *\n * commands/vector.ts 的 `vector query --hybrid` 走这里；不带 flag 默认也是 hybrid\n * （根据当前 cli.ts 设定）。\n */\n\nimport { createHash } from 'node:crypto';\n\nimport { queryBM25Layered } from './query-bm25.js';\nimport { queryLayered } from './query-layered.js';\nimport type { Db, QueryResult } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// rrfMerge — Reciprocal Rank Fusion\n// ---------------------------------------------------------------------------\n\n/**\n * Reciprocal Rank Fusion — 多路召回结果的排名合并。\n * 公式：score(item) = Σ 1 / (k + rank_i) （rank 从 1 开始，k 默认 60）\n * 在两路都靠前的 item 最终 score 最高。\n *\n * **23b 修**：dedup key 从 `${file}::${chunk.slice(0, 80)}` 改为\n * `${file}::${sha256(chunk).slice(0, 16)}`。\n *\n * 原代码用前 80 字做 dedup，中文长文档 chunk 段首固定开场白时（如\n * \"[title] [type]\\n\\n# title\\n## section\\n...\"）两个真实不同的 chunk 前 80 字\n * 可能完全相同 → 被错误合并为 1 条，丢正确召回（22d B6 mock case 复现）。\n *\n * 改用 sha256 前 16 hex char（64 bits）作为 chunk 内容指纹，避碰概率 ≈ 2^-32 全文档级\n * 仍极低，且对 chunk 全文敏感不再依赖前缀重复程度。规划方决策：64 bits 足够，\n * 不用全 64 hex 节省 key 空间。\n */\nexport function rrfMerge(lists: QueryResult[][], topK: number, k: number = 60): QueryResult[] {\n // key = file + chunk sha256 前 16 hex（64 bits 指纹），value = { item, rrf }\n const merged = new Map();\n for (const list of lists) {\n list.forEach((item, i) => {\n const fingerprint = createHash('sha256').update(item.chunk).digest('hex').slice(0, 16);\n const key = `${item.file}::${fingerprint}`;\n const rrf = 1 / (k + i + 1);\n const prev = merged.get(key);\n if (prev) {\n prev.rrf += rrf;\n } else {\n merged.set(key, { item, rrf });\n }\n });\n }\n return [...merged.values()]\n .sort((a, b) => b.rrf - a.rrf)\n .slice(0, topK)\n .map(({ item, rrf }) => ({\n ...item,\n score: Math.round(rrf * 10000) / 10000,\n }));\n}\n\n// ---------------------------------------------------------------------------\n// queryHybrid — 4 路 dispatcher\n// ---------------------------------------------------------------------------\n\n/**\n * Hybrid 分层召回：向量三层 + BM25 三层 + RRF 融合。\n * 跟 queryLayered 同签名（多一个可选 `k` 参数），可在上层命令里用 `--hybrid` flag 切换。\n * 不做 LLM re-rank（先生决定本轮不上，留给未来）。\n *\n * **23c 改**：新增可选 `k` 参数透传到 rrfMerge 的 RRF 公式常数（默认 60）。\n * 暴露此参数是给实验调优用（小 k 让排名靠前 item 权重更突出，大 k 更平滑），\n * cli 暂不暴露 flag（保持 surface 简洁向后兼容）。\n */\nexport function queryHybrid(\n db: Db,\n embedding: Float32Array,\n queryText: string,\n topK: number,\n threshold: number,\n k?: number,\n): QueryResult[] {\n // 两路各召回 topK * 2 作为候选，给 RRF 足够的排名信息\n const candN = topK * 2;\n const vecResults = queryLayered(db, embedding, candN, threshold);\n const bm25Results = queryBM25Layered(db, queryText, candN);\n return rrfMerge([vecResults, bm25Results], topK, k);\n}\n","/**\n * vectordb/status.ts — 检索模式推荐 + 全库 status 元数据\n *\n * 批次 22e strangler fig 第五步：从 src/lib/vectordb.ts copy 出 computeMode + getStatus。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - `computeMode`：纯函数，按 indexed_files 对比 MODE_THRESHOLD_FILES 决定推荐 text / vector\n * - `getStatus`：读路径，打开 db → COUNT 各表 → 读 meta(last_sync/model/dim) → 调\n * collectFiles 拿 total_indexable_files → 调 computeMode 拼 StatusInfo 返回\n *\n * commands/vector.ts 的 `vector status` 子命令直接调 getStatus 拿 JSON 给 wiki-query\n * skill 读 mode 字段决定 text/vector 检索路径。\n */\n\nimport { existsSync } from 'node:fs';\nimport { join } from 'node:path';\n\nimport * as logger from '../../utils/logger.js';\nimport { collectFiles } from './files.js';\nimport { EMBEDDING_DIM, MODE_THRESHOLD_FILES, openDb } from './schema.js';\nimport type { StatusInfo } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// computeMode — 纯函数：indexed + indexedFiles → mode + reason\n// ---------------------------------------------------------------------------\n\n/**\n * 根据 indexed_files 决定检索模式推荐。\n * - 向量库未建 → text（没得选）\n * - indexed_files < 阈值 → text（Read 三层精度最高）\n * - indexed_files >= 阈值 → vector（扁平 Read 太慢）\n */\nfunction computeMode(\n indexed: boolean,\n indexedFiles: number,\n): { mode: 'text' | 'vector'; reason: string } {\n if (!indexed) {\n return {\n mode: 'text',\n reason: 'vector index not built; text Read is the only option',\n };\n }\n if (indexedFiles < MODE_THRESHOLD_FILES) {\n return {\n mode: 'text',\n reason: `indexed_files=${indexedFiles} < ${MODE_THRESHOLD_FILES}; Read three-tier is sharpest at small scale`,\n };\n }\n return {\n mode: 'vector',\n reason: `indexed_files=${indexedFiles} >= ${MODE_THRESHOLD_FILES}; flat Read too slow, switch to layered vector retrieval`,\n };\n}\n\n// ---------------------------------------------------------------------------\n// getStatus — 读全库元数据，拼 StatusInfo\n// ---------------------------------------------------------------------------\n\n/**\n * 读 `/.wiki/vector.sqlite` 元数据：\n * - 不存在 → 返回 `{indexed: false, message, mode: 'text'}`（mode_threshold + mode_reason 仍填）\n * - 存在 → openDb → COUNT documents/chunks/dir_summaries/page_summaries\n * + 读 meta(last_sync/model/dim) + collectFiles 算 total_indexable_files\n * + computeMode 决定 mode / mode_reason\n *\n * **23a 改动**：原沉默 catch（老 db 缺 dir_summaries / page_summaries 表的兼容兜底）\n * 改为 `logger.warn(...)` + 明确注释。dirCount / pageCount 留 0 不阻塞 status 输出。\n */\nexport async function getStatus(corpus: string): Promise {\n const dbPath = join(corpus, '.wiki', 'vector.sqlite');\n if (!existsSync(dbPath)) {\n const rec = computeMode(false, 0);\n return {\n indexed: false,\n message: \"No vector index found. Run 'lorekit vector sync' first.\",\n mode: rec.mode,\n mode_threshold: MODE_THRESHOLD_FILES,\n mode_reason: rec.reason,\n };\n }\n\n const db = await openDb(corpus);\n\n const docCount = (db.prepare('SELECT COUNT(*) as n FROM documents').get() as { n: number }).n;\n const chunkCount = (db.prepare('SELECT COUNT(*) as n FROM chunks').get() as { n: number }).n;\n const lastSync = db.prepare(\"SELECT value FROM meta WHERE key = 'last_sync'\").get() as\n | { value: string }\n | undefined;\n const model = db.prepare(\"SELECT value FROM meta WHERE key = 'model'\").get() as\n | { value: string }\n | undefined;\n const dim = db.prepare(\"SELECT value FROM meta WHERE key = 'dim'\").get() as\n | { value: string }\n | undefined;\n\n const totalFiles = collectFiles(corpus).length;\n\n let dirCount = 0;\n let pageCount = 0;\n try {\n dirCount = (db.prepare('SELECT COUNT(*) as n FROM dir_summaries').get() as { n: number }).n;\n pageCount = (db.prepare('SELECT COUNT(*) as n FROM page_summaries').get() as { n: number }).n;\n } catch (e) {\n // 老 db（批次 22 之前的版本）可能缺 dir_summaries / page_summaries 表，\n // 留 dirCount/pageCount=0 不阻塞 status 输出；下次 lorekit sync 会通过 openDb\n // 的 DDL CREATE IF NOT EXISTS 自动建表。\n logger.warn(`getStatus: layered tables missing, treat as 0 (${(e as Error).message})`);\n }\n\n db.close();\n\n const rec = computeMode(true, docCount);\n\n return {\n indexed: true,\n total_indexable_files: totalFiles,\n indexed_files: docCount,\n chunks: chunkCount,\n layered: { dirs: dirCount, pages: pageCount },\n embedding_dim: dim ? parseInt(dim.value, 10) : EMBEDDING_DIM,\n last_sync: lastSync?.value ?? null,\n model: model?.value ?? null,\n backend: 'ollama',\n mode: rec.mode,\n mode_threshold: MODE_THRESHOLD_FILES,\n mode_reason: rec.reason,\n };\n}\n","/**\n * vectordb/index.ts — 子模块对外主入口（barrel re-export）\n *\n * 批次 22e strangler fig 第五步：建主入口模块。本文件**不含 runtime 代码**，\n * 仅 re-export 公开 API；实现散在 22a-22d + 22e 的 9 个子文件里。\n *\n * 22e 阶段：本文件目前未被任何调用方 import；commands/vector.ts 仍 dynamic\n * import 旧 src/lib/vectordb.ts。22f 才切换 + 删旧。\n *\n * **公开 surface**（commands/*.ts 真正用到的 API）：\n * - 9 个 value：openDb / syncFile / buildLayeredIndex / collectFiles\n * + queryFlat / queryLayered / queryBM25Layered / queryHybrid + getStatus\n * - 1 个额外算法 export：rrfMerge（commands 暂未用，但作为 hybrid 配套算法暴露）\n * - 2 个常量：EMBEDDING_DIM / MODE_THRESHOLD_FILES\n * - 3 个 type：Db / StatusInfo / QueryResult\n *\n * **不 re-export 的内部 helper**（保持封装，commands 不应直接调用）：\n * - sha256 / float32ToBuffer / distanceToScore / shouldIndex / extractPageSummary（files.ts）\n * - sanitizeFtsQuery（query-bm25.ts，私有）\n * - parseIndexSections / parseIndexEntries / findAllIndexFiles（build-layered-index.ts，私有）\n * - DDL / FTS_DDL / vecDdl / loadSqlite（schema.ts，仅 openDb 内部用）\n * - EmbedFn type（sync.ts + build-layered-index.ts 双 inline，commands 自定义实现喂入）\n *\n * **EmbedFn 决策**（22e 拍板）：保持双 inline 不上提到 schema.ts。理由：\n * (a) commands 不用 EmbedFn type（commands 自定义实现喂入 syncFile / buildLayeredIndex）\n * (b) 上提引入 sync/build-layered → schema.ts 的额外耦合\n * (c) 仅 2 处 inline，type 定义 1 行 + 注释 2 行，复制成本极小\n */\n\n// ---------------------------------------------------------------------------\n// 公开 value（commands/*.ts 用）\n// ---------------------------------------------------------------------------\n\nexport { openDb } from './schema.js';\nexport { syncFile } from './sync.js';\nexport { buildLayeredIndex } from './build-layered-index.js';\nexport { queryFlat } from './query-flat.js';\nexport { queryLayered } from './query-layered.js';\nexport { queryBM25Layered } from './query-bm25.js';\nexport { queryHybrid, rrfMerge } from './query-hybrid.js';\nexport { getStatus } from './status.js';\nexport { collectFiles } from './files.js';\n\n// ---------------------------------------------------------------------------\n// 公开常量\n// ---------------------------------------------------------------------------\n\nexport { EMBEDDING_DIM, MODE_THRESHOLD_FILES } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// 公开 type\n// ---------------------------------------------------------------------------\n\nexport type { Db, StatusInfo, QueryResult } from './schema.js';\n","#!/usr/bin/env node\nimport { existsSync } from 'node:fs';\nimport { Command } from 'commander';\nimport chalk from 'chalk';\nimport Database from 'better-sqlite3';\nimport { findCorpus, collectMdFiles } from './lib/corpus.js';\nimport { debug, print } from './utils/logger.js';\nimport { readVersion } from './utils/fs.js';\n\n// commands\nimport { initCommand } from './commands/init.js';\nimport { doctorCommand } from './commands/doctor.js';\nimport { statsCommand } from './commands/stats.js';\nimport { lintCommand } from './commands/lint.js';\nimport { auditCommand } from './commands/audit.js';\nimport { indexCommand } from './commands/dir-index.js';\nimport { installSkillsCommand } from './commands/install-skills.js';\nimport { snapshotCommand } from './commands/snapshot.js';\nimport { restoreCommand } from './commands/restore.js';\nimport { searchCommand } from './commands/search.js';\nimport { vectorCommand } from './commands/vector.js';\nimport { fetchCommand } from './commands/fetch.js';\nimport { ingestCommand } from './commands/ingest.js';\nimport { syncCommand } from './commands/sync.js';\nimport { obsidianTuneCommand } from './commands/obsidian-tune.js';\nimport { removeCommand } from './commands/remove.js';\nimport { gbrainCommand } from './commands/gbrain.js';\n\nconst version = readVersion();\n\nfunction showBanner() {\n const corpus = findCorpus();\n let pages = '—';\n let indexed = '0';\n let model = '—';\n\n if (corpus) {\n try {\n pages = String(collectMdFiles(corpus).length);\n } catch (e) {\n // banner 是 best-effort 装饰，corpus 扫失败时不阻塞用户操作 — 仅 debug 留痕\n debug(`banner: collectMdFiles failed: ${(e as Error).message}`);\n }\n\n try {\n const dbPath = `${corpus}/.wiki/vector.sqlite`;\n if (existsSync(dbPath)) {\n const db = new Database(dbPath, { readonly: true });\n const cntRow = db.prepare('SELECT COUNT(*) as c FROM documents').get() as\n | { c: number }\n | undefined;\n indexed = String(cntRow?.c ?? 0);\n const row = db.prepare(\"SELECT value FROM meta WHERE key='model'\").get() as\n | { value: string }\n | undefined;\n model = row?.value ?? '—';\n db.close();\n }\n } catch (e) {\n // 向量库读失败（坏文件 / 锁 / native 加载错）不该阻断 banner 显示\n debug(`banner: vector.sqlite read failed: ${(e as Error).message}`);\n }\n }\n\n const short = corpus && corpus.length > 45 ? '...' + corpus.slice(-42) : (corpus ?? '—');\n const B = chalk.blue;\n const BB = chalk.blueBright.bold;\n const C = chalk.cyan;\n const D = chalk.dim;\n const W = chalk.white.bold;\n\n print();\n print(` ${BB('██╗ ██████╗ ██████╗ ███████╗██╗ ██╗██╗████████╗')}`);\n print(` ${BB('██║ ██╔═══██╗██╔══██╗██╔════╝██║ ██╔╝██║╚══██╔══╝')}`);\n print(` ${BB('██║ ██║ ██║██████╔╝█████╗ █████╔╝ ██║ ██║ ')}`);\n print(` ${B('██║ ██║ ██║██╔══██╗██╔══╝ ██╔═██╗ ██║ ██║ ')}`);\n print(` ${B('███████╗╚██████╔╝██║ ██║███████╗██║ ██╗██║ ██║ ')}`);\n print(` ${D('╚══════╝ ╚═════╝ ╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝ ')}`);\n print(` ${D('Personal LLM Wiki Toolkit')} ${C(`v${version}`)}`);\n print();\n print(` ${C('corpus')} ${short}`);\n print(` ${C('pages')} ${pages.padEnd(10)} ${C('indexed')} ${indexed}`);\n if (model !== '—') print(` ${C('model')} ${model}`);\n print();\n print(` ${W('$ lorekit doctor')} 健康检查`);\n print(` ${W('$ lorekit fetch')} 抓取网页`);\n print(` ${W('$ lorekit search')} 搜索`);\n print(` ${W('$ lorekit --help')} 所有命令`);\n print();\n}\n\nconst program = new Command();\n\n// CONVENTIONS #4：commander 默认对 missing arg / unknown command 都退出 1，\n// 跟我们\"参数错→2\"的语义不匹配。改用 exitOverride 拦截后按错误码分类。\nconst ARG_ERROR_CODES = new Set([\n 'commander.missingArgument',\n 'commander.missingMandatoryOptionValue',\n 'commander.invalidArgument',\n 'commander.invalidOptionArgument',\n 'commander.unknownCommand',\n 'commander.unknownOption',\n 'commander.excessArguments',\n]);\nprogram.exitOverride((cmdErr) => {\n // help / version 是正常退出\n if (\n cmdErr.code === 'commander.help' ||\n cmdErr.code === 'commander.version' ||\n cmdErr.code === 'commander.helpDisplayed'\n ) {\n process.exit(0);\n }\n if (ARG_ERROR_CODES.has(cmdErr.code)) {\n process.exit(2);\n }\n process.exit(cmdErr.exitCode || 1);\n});\n\nprogram.name('lorekit').version(version).description('Personal LLM Wiki Toolkit');\n\n// register commands\ninitCommand(program);\ndoctorCommand(program);\nstatsCommand(program);\nlintCommand(program);\nauditCommand(program);\nindexCommand(program);\ninstallSkillsCommand(program);\nsnapshotCommand(program);\nrestoreCommand(program);\nsearchCommand(program);\nvectorCommand(program);\nfetchCommand(program);\ningestCommand(program);\nsyncCommand(program);\nobsidianTuneCommand(program);\nremoveCommand(program);\ngbrainCommand(program);\n\n// no subcommand → show banner\nif (process.argv.length <= 2) {\n showBanner();\n} else {\n program.parse();\n}\n","import { existsSync, readFileSync, readdirSync, statSync } from 'node:fs';\nimport { join, dirname, basename } from 'node:path';\nimport matter from 'gray-matter';\nimport { alwaysExcludeNames } from './paths.js';\nimport { debug } from '../utils/logger.js';\n\nexport function findCorpus(startDir?: string): string | null {\n let dir = startDir || process.cwd();\n while (dir !== '/' && dir) {\n if (existsSync(join(dir, '.wiki')) || existsSync(join(dir, 'CLAUDE.md'))) {\n return dir;\n }\n dir = dirname(dir);\n }\n return null;\n}\n\nexport function requireCorpus(startDir?: string): string {\n const corpus = findCorpus(startDir);\n if (!corpus) {\n throw new Error('not inside a corpus (no .wiki/ or CLAUDE.md found)');\n }\n return corpus;\n}\n\nexport interface Frontmatter {\n type?: string;\n title?: string;\n slug?: string;\n created?: string;\n updated?: string | Date;\n [key: string]: unknown;\n}\n\nexport function extractFrontmatter(filePath: string): Frontmatter {\n try {\n const content = readFileSync(filePath, 'utf-8');\n const { data } = matter(content);\n return data as Frontmatter;\n } catch (e) {\n // 文件读不到 / YAML 损坏时返回空对象。在 lint / index 等命令里被大量\n // 调用，warn 会刷屏，所以走 debug；真有异常先生开 LOREKIT_DEBUG=1 复现\n debug(`extractFrontmatter(${filePath}) failed: ${(e as Error).message}`);\n return {};\n }\n}\n\nexport function hasFrontmatter(filePath: string): boolean {\n try {\n const first = readFileSync(filePath, 'utf-8').slice(0, 4);\n return first === '---\\n' || first === '---\\r';\n } catch (e) {\n // 同 extractFrontmatter：批量调用，走 debug\n debug(`hasFrontmatter(${filePath}) failed: ${(e as Error).message}`);\n return false;\n }\n}\n\nexport function extractFrontmatterField(filePath: string, key: string): string | undefined {\n const fm = extractFrontmatter(filePath);\n const val = fm[key];\n return typeof val === 'string' ? val : undefined;\n}\n\n/**\n * Find an existing source page in 原料/ that has the given source_url.\n * Returns the absolute path or null.\n */\nexport function findSourceByUrl(corpus: string, url: string): string | null {\n const sourcesRoot = join(corpus, '原料');\n if (!existsSync(sourcesRoot)) return null;\n for (const mdPath of collectMdFiles(sourcesRoot)) {\n const fm = extractFrontmatter(mdPath);\n if (fm.source_url === url || fm.url === url) return mdPath;\n }\n return null;\n}\n\nexport function collectMdFiles(dir: string, opts?: { excludeIndex?: boolean }): string[] {\n const results: string[] = [];\n if (!existsSync(dir)) return results;\n\n function walk(d: string) {\n for (const entry of readdirSync(d, { withFileTypes: true })) {\n if (entry.name.startsWith('.')) continue;\n const full = join(d, entry.name);\n if (entry.isDirectory()) {\n walk(full);\n } else if (entry.name.endsWith('.md') && !alwaysExcludeNames.has(entry.name)) {\n results.push(full);\n }\n }\n }\n\n walk(dir);\n return results.sort();\n}\n","import { createHash } from 'node:crypto';\nimport { readFileSync, statSync } from 'node:fs';\nimport { join, dirname } from 'node:path';\nimport { fileURLToPath } from 'node:url';\nimport { warn } from './logger.js';\n\nexport function sha256(filePath: string): string {\n const content = readFileSync(filePath);\n return createHash('sha256').update(content).digest('hex');\n}\n\nexport function fileMtime(filePath: string): Date {\n return statSync(filePath).mtime;\n}\n\nexport function lorekitRoot(): string {\n const thisFile = fileURLToPath(import.meta.url);\n // tsup bundles everything to dist/cli.js — dirname(thisFile) === dist/,\n // so the package root is one level up.\n return join(dirname(thisFile), '..');\n}\n\nexport function readVersion(): string {\n try {\n return readFileSync(join(lorekitRoot(), 'VERSION'), 'utf-8').trim();\n } catch (e) {\n // VERSION 文件应当随 lorekit 包发布，缺了说明安装环境异常 — 用 warn 不静默\n warn(`VERSION file missing or unreadable: ${(e as Error).message}`);\n return 'unknown';\n }\n}\n","import type { Command } from 'commander';\nimport {\n existsSync,\n mkdirSync,\n readdirSync,\n cpSync,\n readFileSync,\n writeFileSync,\n statSync,\n} from 'node:fs';\nimport { join, relative, resolve } from 'node:path';\nimport { createInterface } from 'node:readline';\nimport chalk from 'chalk';\nimport { ok, bad, warn, print } from '../utils/logger.js';\nimport { readVersion, lorekitRoot } from '../utils/fs.js';\n\nconst MINIMAL_DIRS = ['原料', '知识库/概念', '知识库/实体', '知识库/摘要', '每日', '系统', '.wiki'];\n\nfunction ask(question: string): Promise {\n const rl = createInterface({ input: process.stdin, output: process.stdout });\n return new Promise((resolve) => {\n rl.question(question, (answer) => {\n rl.close();\n resolve(answer.trim());\n });\n });\n}\n\nfunction isDirEmpty(dir: string): boolean {\n if (!existsSync(dir)) return true;\n const entries = readdirSync(dir).filter((n) => n !== '.DS_Store' && n !== '.git');\n return entries.length === 0;\n}\n\n/**\n * Recursively copy files from src to dest, skipping files that already exist.\n *\n * 顶层目录 `.obsidian/` 由 `deployObsidianGraphConfig` 与 `deployObsidianPlugin`\n * 单独处理（safe-write + 用户提示），这里跳过避免重复/越权覆盖。\n */\nfunction copyTemplateFiles(src: string, dest: string, isRoot = true) {\n if (!existsSync(dest)) mkdirSync(dest, { recursive: true });\n\n for (const entry of readdirSync(src, { withFileTypes: true })) {\n // 顶层 `.obsidian/` 单独由 deployObsidian* 处理\n if (isRoot && entry.isDirectory() && entry.name === '.obsidian') continue;\n\n const srcPath = join(src, entry.name);\n const destPath = join(dest, entry.name);\n\n if (entry.isDirectory()) {\n copyTemplateFiles(srcPath, destPath, false);\n } else {\n if (!existsSync(destPath)) {\n mkdirSync(join(destPath, '..'), { recursive: true });\n cpSync(srcPath, destPath);\n }\n }\n }\n}\n\nfunction deployObsidianPlugin(corpusPath: string) {\n const pluginSrc = join(lorekitRoot(), 'plugins', 'obsidian-audit');\n const pluginDest = join(corpusPath, '.obsidian', 'plugins', 'lorekit-audit');\n\n if (!existsSync(pluginSrc)) {\n warn('obsidian-audit plugin not found in lorekit install, skipping');\n return;\n }\n\n mkdirSync(pluginDest, { recursive: true });\n for (const file of readdirSync(pluginSrc)) {\n cpSync(join(pluginSrc, file), join(pluginDest, file));\n }\n ok('deployed obsidian-audit plugin → .obsidian/plugins/lorekit-audit/');\n}\n\n/**\n * safe-write `.obsidian/graph.json`：\n * - 已存在 → 跳过 + stderr 警告（保留用户自定义的 colorGroups / forceGravity 等）\n * - 目标已有 `.obsidian/` 但缺 graph.json → 只写 graph.json\n * - 目标完全没 `.obsidian/` → 建目录 + 写 graph.json\n *\n * 批次 25 引入：把\"lorekit 决定的结构（_工作台 / _INDEX / 系统 ...）\"\n * 对应的 Obsidian graph filter 作为预设内置，用户无需自己发明一遍。\n */\nfunction deployObsidianGraphConfig(corpusPath: string) {\n const src = join(lorekitRoot(), 'templates', 'default-corpus', '.obsidian', 'graph.json');\n if (!existsSync(src)) {\n // 模板缺失不阻塞 init；warn 即可\n warn('templates/default-corpus/.obsidian/graph.json not found, skipping graph config');\n return;\n }\n\n const destDir = join(corpusPath, '.obsidian');\n const dest = join(destDir, 'graph.json');\n\n if (existsSync(dest)) {\n // 绝对不许覆盖用户已有的 graph.json（可能含 colorGroups / forceGravity 等个性化字段）\n warn('.obsidian/graph.json 已存在，跳过写入。推荐 filter 见 docs/QUICKSTART.md');\n return;\n }\n\n if (!existsSync(destDir)) mkdirSync(destDir, { recursive: true });\n cpSync(src, dest);\n ok('deployed Obsidian graph filter → .obsidian/graph.json');\n}\n\nfunction createWikiMeta(corpusPath: string) {\n const wikiDir = join(corpusPath, '.wiki');\n mkdirSync(wikiDir, { recursive: true });\n\n const version = readVersion();\n writeFileSync(join(wikiDir, 'version'), version + '\\n');\n\n const configPath = join(wikiDir, 'config.yaml');\n if (!existsSync(configPath)) {\n writeFileSync(\n configPath,\n [\n '# lorekit corpus config',\n `version: \"${version}\"`,\n 'lang: zh-CN',\n 'frontmatter_required: true',\n '',\n ].join('\\n'),\n );\n }\n ok(`created .wiki/version (${version}) + config.yaml`);\n}\n\nexport function initCommand(program: Command) {\n program\n .command('init')\n .argument('[path]', 'target directory', '.')\n .option('--in-place', 'initialize in-place even if directory is non-empty')\n .option('--minimal', 'only create core directories (no template files)')\n .description('initialize a new lorekit corpus')\n .action(async (targetPath: string, opts: { inPlace?: boolean; minimal?: boolean }) => {\n const resolved = resolve(targetPath);\n const templateDir = join(lorekitRoot(), 'templates', 'default-corpus');\n\n if (opts.minimal) {\n // Minimal mode: just create core directories\n for (const dir of MINIMAL_DIRS) {\n mkdirSync(join(resolved, dir), { recursive: true });\n }\n createWikiMeta(resolved);\n ok(`minimal corpus initialized at ${resolved}`);\n return;\n }\n\n if (!isDirEmpty(resolved) && !opts.inPlace) {\n print(chalk.yellow(`\\n target directory is not empty: ${resolved}\\n`));\n const answer = await ask(\n ' [b] backup & init [i] in-place (skip existing) [c] cancel\\n > ',\n );\n\n if (answer === 'c' || answer === 'C' || answer === '') {\n bad('cancelled');\n return;\n }\n if (answer === 'b' || answer === 'B') {\n const backupDir = resolved + '.bak.' + Date.now();\n cpSync(resolved, backupDir, { recursive: true });\n ok(`backed up to ${backupDir}`);\n }\n // answer 'i'/'b' both fall through to in-place copy\n }\n\n // Copy template files (skip existing)\n if (existsSync(templateDir)) {\n copyTemplateFiles(templateDir, resolved);\n ok('template files copied (skipped existing)');\n } else {\n warn('template directory not found, creating minimal structure');\n for (const dir of MINIMAL_DIRS) {\n mkdirSync(join(resolved, dir), { recursive: true });\n }\n }\n\n createWikiMeta(resolved);\n deployObsidianGraphConfig(resolved);\n deployObsidianPlugin(resolved);\n\n print();\n ok(chalk.bold(`corpus initialized at ${resolved}`));\n });\n}\n","import type { Command } from 'commander';\nimport { existsSync, lstatSync, readFileSync, readdirSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport chalk from 'chalk';\nimport { ok, bad, warn, print, out } from '../utils/logger.js';\nimport { requireCorpus, collectMdFiles, hasFrontmatter } from '../lib/corpus.js';\nimport { isIndexExcluded, isFolderPackage } from '../lib/paths.js';\nimport {\n getRecommendedFilter,\n readCorpusFilter,\n isFilterComplete,\n} from '../lib/obsidian.js';\nimport {\n doctorGbrain,\n type GbrainDoctorIssue,\n type GbrainDoctorResult,\n} from '../lib/integrations/gbrain.js';\n\nconst EXPECTED_DIRS = [\n '每日',\n '知识库/实体',\n '知识库/概念',\n '知识库/专题',\n '原料',\n '原料/录音',\n '写作',\n '系统',\n '_工作台',\n];\n\ntype DoctorStatus = 'ok' | 'warn' | 'error';\ntype DoctorSectionName =\n | 'directories'\n | 'wikiMetadata'\n | 'frontmatter'\n | 'indexFiles'\n | 'archive'\n | 'obsidian'\n | 'integrations';\n\ninterface DoctorIssue {\n section: DoctorSectionName | 'gbrain';\n severity: 'warn' | 'error';\n message: string;\n recommendation?: string;\n}\n\ninterface DoctorSectionReport {\n status: DoctorStatus;\n [key: string]: unknown;\n}\n\nexport interface DoctorRunReport {\n status: DoctorStatus;\n generatedAt: string;\n corpus: string;\n sections: Partial>;\n issues: DoctorIssue[];\n hardIssues: number;\n}\n\nexport interface DoctorOptions {\n section?: 'all' | 'integrations';\n}\n\nfunction inspectDirs(corpus: string): { missing: string[] } {\n const missing: string[] = [];\n for (const dir of EXPECTED_DIRS) {\n const full = join(corpus, dir);\n if (!existsSync(full)) missing.push(dir);\n }\n return { missing };\n}\n\nfunction checkDirs(corpus: string): number {\n const { missing } = inspectDirs(corpus);\n for (const dir of EXPECTED_DIRS) {\n if (missing.includes(dir)) bad(`${dir}/ ${chalk.dim('missing')}`);\n else ok(`${dir}/`);\n }\n return missing.length;\n}\n\nfunction inspectWikiVersion(corpus: string): { exists: boolean; version: string | null } {\n const versionFile = join(corpus, '.wiki', 'version');\n if (existsSync(versionFile)) {\n const ver = readFileSync(versionFile, 'utf-8').trim();\n return { exists: true, version: ver };\n }\n return { exists: false, version: null };\n}\n\nfunction checkWikiVersion(corpus: string): number {\n const result = inspectWikiVersion(corpus);\n if (result.exists) {\n ok(`.wiki/version → ${result.version}`);\n return 0;\n }\n bad('.wiki/version missing');\n return 1;\n}\n\nfunction inspectFrontmatterCoverage(corpus: string) {\n const files = collectMdFiles(corpus);\n const withFm = files.filter((f) => hasFrontmatter(f)).length;\n const total = files.length;\n const pct = total === 0 ? 100 : Math.round((withFm / total) * 100);\n return { withFrontmatter: withFm, total, pct };\n}\n\nfunction checkFrontmatterCoverage(corpus: string) {\n const { withFrontmatter, total, pct } = inspectFrontmatterCoverage(corpus);\n const color = pct >= 90 ? chalk.green : pct >= 60 ? chalk.yellow : chalk.red;\n const icon = pct >= 90 ? '✓' : pct >= 60 ? '⚠' : '✗';\n print(`${color(icon)} frontmatter coverage: ${withFrontmatter}/${total} (${pct}%)`);\n}\n\nfunction findMissingIndexDirs(corpus: string): string[] {\n const missing: string[] = [];\n\n function walk(dir: string) {\n if (!existsSync(dir)) return;\n\n for (const entry of readdirSync(dir, { withFileTypes: true })) {\n if (entry.name.startsWith('.')) continue;\n if (!entry.isDirectory()) continue;\n\n const full = join(dir, entry.name);\n const rel = relative(corpus, full);\n\n // 复用 index 命令的排除规则：不对这些目录要求 _INDEX.md\n if (isIndexExcluded(rel)) continue;\n // 目录包装式原料（xxx/article.md）是一个 entry，不是容器——不需要 _INDEX.md\n if (isFolderPackage(full)) continue;\n\n // 本目录是否应该有 _INDEX.md：\n // 有直接 .md 文件 或 有目录包装式原料子目录\n let shouldHaveIndex = false;\n for (const name of readdirSync(full)) {\n if (name.startsWith('.')) continue;\n if (name === '_INDEX.md' || name === '.gitkeep') continue;\n const childPath = join(full, name);\n let stat;\n try {\n stat = lstatSync(childPath);\n } catch {\n continue;\n }\n if (stat.isFile() && name.endsWith('.md')) {\n shouldHaveIndex = true;\n break;\n }\n if (stat.isDirectory() && isFolderPackage(childPath)) {\n shouldHaveIndex = true;\n break;\n }\n }\n\n if (shouldHaveIndex && !existsSync(join(full, '_INDEX.md'))) {\n missing.push(rel);\n }\n walk(full);\n }\n }\n\n walk(corpus);\n return missing;\n}\n\nfunction checkIndexFiles(corpus: string): number {\n const missing = findMissingIndexDirs(corpus);\n for (const rel of missing) warn(`_INDEX.md missing in ${rel}/`);\n if (missing.length === 0) {\n ok('all directories with .md files have _INDEX.md');\n }\n return missing.length;\n}\n\n/**\n * 检查 .obsidian/graph.json filter 是否含推荐项（批次 26 触达老用户）。\n * obsidian 是可选用途，不阻塞 doctor 整体绿 —— 故意不计入 issues 总数。\n */\nfunction inspectObsidianGraph(corpus: string): DoctorSectionReport {\n try {\n const recommended = getRecommendedFilter();\n const cur = readCorpusFilter(corpus);\n if (!cur.exists) {\n return {\n status: 'warn',\n message: 'graph filter 不完整，运行 lorekit obsidian-tune 查看详情',\n };\n }\n if (isFilterComplete(cur.search, recommended)) {\n return { status: 'ok', message: 'graph filter 完整' };\n }\n return {\n status: 'warn',\n message: 'graph filter 不完整，运行 lorekit obsidian-tune 查看详情',\n };\n } catch (e) {\n return { status: 'warn', message: `检查 graph filter 失败: ${(e as Error).message}` };\n }\n}\n\nfunction checkObsidianGraph(corpus: string): void {\n const result = inspectObsidianGraph(corpus);\n if (result.status === 'ok') ok(`obsidian: ${result.message}`);\n else warn(`obsidian: ${result.message}`);\n}\n\nfunction inspectArchive(corpus: string): DoctorSectionReport {\n const archiveDir = join(corpus, '_归档');\n if (existsSync(archiveDir)) {\n return { status: 'ok', exists: true };\n }\n return { status: 'warn', exists: false, message: '_归档/ not found (optional)' };\n}\n\nfunction checkArchive(corpus: string): number {\n const result = inspectArchive(corpus);\n if (result.status === 'ok') ok('_归档/ exists');\n else warn(String(result.message));\n return 0; // not a hard failure\n}\n\nfunction statusFromIssues(issues: DoctorIssue[]): DoctorStatus {\n if (issues.some((issue) => issue.severity === 'error')) return 'error';\n if (issues.length > 0) return 'warn';\n return 'ok';\n}\n\nfunction convertGbrainIssue(issue: GbrainDoctorIssue): DoctorIssue {\n return {\n section: 'gbrain',\n severity: issue.severity,\n message: issue.message,\n recommendation: issue.recommendation,\n };\n}\n\nfunction gbrainSection(gbrain: GbrainDoctorResult): DoctorSectionReport {\n return {\n status: gbrain.status,\n gbrain: {\n status: gbrain.status,\n installed: gbrain.gbrain.installed,\n binary: gbrain.gbrain.binary,\n version: gbrain.gbrain.version,\n brainInitialized: gbrain.gbrain.brainInitialized,\n manifestPath: gbrain.manifestPath,\n syncReportPath: gbrain.syncReportPath,\n issues: gbrain.issues,\n },\n };\n}\n\nexport async function runDoctorReport(\n corpus: string,\n opts: DoctorOptions = {},\n): Promise {\n const section = opts.section ?? 'all';\n if (section !== 'all' && section !== 'integrations') {\n throw new Error(`unsupported doctor section: ${section}`);\n }\n\n const report: DoctorRunReport = {\n status: 'ok',\n generatedAt: new Date().toISOString(),\n corpus,\n sections: {},\n issues: [],\n hardIssues: 0,\n };\n\n if (section === 'all') {\n const dirs = inspectDirs(corpus);\n report.sections.directories = {\n status: dirs.missing.length > 0 ? 'error' : 'ok',\n expected: EXPECTED_DIRS,\n missing: dirs.missing,\n };\n for (const dir of dirs.missing) {\n report.issues.push({\n section: 'directories',\n severity: 'error',\n message: `${dir}/ missing`,\n });\n }\n\n const wiki = inspectWikiVersion(corpus);\n report.sections.wikiMetadata = {\n status: wiki.exists ? 'ok' : 'error',\n version: wiki.version,\n versionFileExists: wiki.exists,\n };\n if (!wiki.exists) {\n report.issues.push({\n section: 'wikiMetadata',\n severity: 'error',\n message: '.wiki/version missing',\n });\n }\n\n const fm = inspectFrontmatterCoverage(corpus);\n report.sections.frontmatter = {\n status: fm.pct >= 90 ? 'ok' : fm.pct >= 60 ? 'warn' : 'error',\n ...fm,\n };\n\n const missingIndexes = findMissingIndexDirs(corpus);\n report.sections.indexFiles = {\n status: missingIndexes.length > 0 ? 'warn' : 'ok',\n missing: missingIndexes,\n };\n for (const rel of missingIndexes) {\n report.issues.push({\n section: 'indexFiles',\n severity: 'warn',\n message: `_INDEX.md missing in ${rel}/`,\n });\n }\n\n report.sections.archive = inspectArchive(corpus);\n report.sections.obsidian = inspectObsidianGraph(corpus);\n }\n\n const gbrain = await doctorGbrain(corpus);\n report.sections.integrations = gbrainSection(gbrain);\n report.issues.push(...gbrain.issues.map(convertGbrainIssue));\n\n report.hardIssues = report.issues.filter((issue) => issue.severity === 'error').length;\n report.status = statusFromIssues(report.issues);\n return report;\n}\n\n/**\n * 程序内复用入口：跑健康体检。\n * 返回 issue 总数。调用方自行决定要不要把退出码设成非零。\n */\nexport async function runDoctor(corpus: string): Promise {\n print(chalk.bold(`\\nlorekit doctor — ${corpus}\\n`));\n\n let issues = 0;\n\n print(chalk.cyan('── directories ──'));\n issues += checkDirs(corpus);\n print();\n\n print(chalk.cyan('── wiki metadata ──'));\n issues += checkWikiVersion(corpus);\n print();\n\n print(chalk.cyan('── frontmatter ──'));\n checkFrontmatterCoverage(corpus);\n print();\n\n print(chalk.cyan('── index files ──'));\n issues += checkIndexFiles(corpus);\n print();\n\n print(chalk.cyan('── archive ──'));\n checkArchive(corpus);\n print();\n\n print(chalk.cyan('── obsidian ──'));\n checkObsidianGraph(corpus);\n print();\n\n print(chalk.cyan('── integrations ──'));\n const gbrain = await doctorGbrain(corpus);\n if (gbrain.status === 'ok') {\n ok('gbrain: integration healthy');\n } else {\n for (const issue of gbrain.issues) {\n const line = `gbrain: ${issue.message}. ${issue.recommendation}`;\n if (issue.severity === 'error') bad(line);\n else warn(line);\n }\n }\n const integrationErrors = gbrain.issues.filter((issue) => issue.severity === 'error').length;\n issues += integrationErrors;\n print();\n\n if (issues === 0) {\n print(chalk.green.bold('all checks passed ✓'));\n } else {\n print(chalk.yellow(`${issues} issue(s) found`));\n }\n print();\n\n return issues;\n}\n\nexport function doctorCommand(program: Command) {\n program\n .command('doctor')\n .description('run health checks on the corpus')\n .option('--json', 'output machine-readable doctor report', false)\n .option('--section ', 'only run a doctor section (currently: integrations)', 'all')\n .action(async (opts: { json?: boolean; section?: 'all' | 'integrations' | string }) => {\n const corpus = requireCorpus();\n if (opts.json) {\n const report = await runDoctorReport(corpus, {\n section: opts.section === 'integrations' ? 'integrations' : 'all',\n });\n out(JSON.stringify(report, null, 2));\n process.exitCode = report.hardIssues > 0 ? 1 : 0;\n return;\n }\n if (opts.section === 'integrations') {\n const report = await runDoctorReport(corpus, { section: 'integrations' });\n print(chalk.bold(`\\nlorekit doctor — ${corpus}\\n`));\n print(chalk.cyan('── integrations ──'));\n const integration = report.sections.integrations?.gbrain as\n | { issues?: GbrainDoctorIssue[] }\n | undefined;\n const issues = integration?.issues ?? [];\n if (issues.length === 0) ok('gbrain: integration healthy');\n for (const issue of issues) {\n const line = `gbrain: ${issue.message}. ${issue.recommendation}`;\n if (issue.severity === 'error') bad(line);\n else warn(line);\n }\n process.exitCode = report.hardIssues > 0 ? 1 : 0;\n return;\n }\n const issues = await runDoctor(corpus);\n process.exitCode = issues > 0 ? 1 : 0;\n });\n}\n","/**\n * obsidian.ts — Obsidian graph filter SSOT helper（批次 26）\n *\n * 推荐 filter 的单一事实源是 `templates/default-corpus/.obsidian/graph.json`。\n * obsidian-tune 命令与 doctor 集成都从这里读，避免和模板漂移。\n *\n * filter 完整性判断采用\"包含所有推荐 token\"——用户可能加了自己的\n * colorGroups / 额外 filter，只要把推荐项都覆盖到就算 OK，不要求完全相等。\n */\nimport { existsSync, readFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { lorekitRoot } from '../utils/fs.js';\n\nexport interface GraphConfig {\n search?: string;\n showTags?: boolean;\n showAttachments?: boolean;\n hideUnresolved?: boolean;\n showOrphans?: boolean;\n [key: string]: unknown;\n}\n\nexport interface CorpusFilterReadResult {\n exists: boolean;\n search?: string;\n raw?: GraphConfig;\n}\n\n/** 模板里的推荐 graph.json（完整对象）。读不到会 throw —— 模板属于包发布产物 */\nexport function getRecommendedGraphConfig(): GraphConfig {\n const tpl = join(lorekitRoot(), 'templates', 'default-corpus', '.obsidian', 'graph.json');\n const raw = readFileSync(tpl, 'utf-8');\n return JSON.parse(raw) as GraphConfig;\n}\n\n/** 推荐 filter 的 search 字符串（SSOT） */\nexport function getRecommendedFilter(): string {\n const cfg = getRecommendedGraphConfig();\n return cfg.search ?? '';\n}\n\n/** 读 corpus 内的 .obsidian/graph.json。不存在不抛错，返回 exists=false */\nexport function readCorpusFilter(corpus: string): CorpusFilterReadResult {\n const dest = join(corpus, '.obsidian', 'graph.json');\n if (!existsSync(dest)) return { exists: false };\n try {\n const raw = readFileSync(dest, 'utf-8');\n const parsed = JSON.parse(raw) as GraphConfig;\n return { exists: true, search: parsed.search, raw: parsed };\n } catch {\n // JSON 损坏视为存在但 filter 不可读 —— 当作 search 缺失处理\n return { exists: true, search: undefined };\n }\n}\n\n/**\n * 把 search 字符串拆 token（按空白）。\n * Obsidian search 语法 token 形如 `-path:\"_工作台\"` / `-file:\"_INDEX\"`，\n * 引号内含中文也安全：split 走简单空白，引号内不会含空白。\n */\nfunction tokenize(search: string): string[] {\n return search\n .split(/\\s+/)\n .map((t) => t.trim())\n .filter(Boolean);\n}\n\n/**\n * 完整性判断：actual 必须包含 recommended 拆出的全部 token（顺序无关、可有额外项）。\n * actual 缺失 / 空字符串都视为不完整。\n */\nexport function isFilterComplete(actual: string | undefined, recommended: string): boolean {\n if (!actual) return false;\n const want = new Set(tokenize(recommended));\n const have = new Set(tokenize(actual));\n for (const t of want) {\n if (!have.has(t)) return false;\n }\n return true;\n}\n\n/** 列出 actual 缺少哪些推荐 token（用于 diff 输出） */\nexport function missingTokens(actual: string | undefined, recommended: string): string[] {\n const have = new Set(actual ? tokenize(actual) : []);\n return tokenize(recommended).filter((t) => !have.has(t));\n}\n","import { existsSync, mkdirSync, readFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { sha256 } from '../../utils/fs.js';\nimport { getGbrainStatus, type GbrainStatusResult } from './gbrain-status.js';\nimport { exportForGbrain, type GbrainExportResult } from './gbrain-export.js';\nimport { readJsonFile, writeJsonFile, type GbrainExportManifest } from './manifest.js';\nimport { runExternalCommand, type ExternalCommandResult } from './process.js';\n\nexport { getGbrainStatus, exportForGbrain };\n\nexport interface GbrainSyncOptions {\n dryRun?: boolean;\n json?: boolean;\n exportEvenIfMissing?: boolean;\n}\n\nexport interface GbrainSyncResult {\n status: 'ok' | 'error';\n dryRun: boolean;\n startedAt: string;\n finishedAt: string;\n corpus: string;\n export: GbrainExportResult | null;\n gbrain: {\n binary: string;\n version: string | null;\n command: string[];\n exitCode: number | null;\n stdout: string;\n stderr: string;\n durationMs: number;\n } | null;\n gbrainImport?: { skipped: true; reason: string };\n warnings: string[];\n errors: string[];\n}\n\nexport interface GbrainDoctorIssue {\n section: 'gbrain';\n severity: 'warn' | 'error';\n message: string;\n recommendation: string;\n}\n\nexport interface GbrainDoctorResult {\n status: 'ok' | 'warn' | 'error';\n corpus: string;\n gbrain: GbrainStatusResult;\n manifestPath: string;\n syncReportPath: string;\n issues: GbrainDoctorIssue[];\n}\n\nexport interface GbrainQueryResult {\n status: 'ok' | 'error';\n source: 'gbrain';\n message: string;\n staleCheck: {\n skipped: boolean;\n status: GbrainDoctorResult['status'] | null;\n issues: GbrainDoctorIssue[];\n };\n gbrain: ExternalCommandResult | null;\n warnings: string[];\n errors: string[];\n}\n\nfunction syncReportPath(corpus: string): string {\n return join(corpus, '.wiki', 'integrations', 'gbrain', 'sync-report.json');\n}\n\nfunction writeSyncReport(corpus: string, result: GbrainSyncResult): void {\n const path = syncReportPath(corpus);\n mkdirSync(join(corpus, '.wiki', 'integrations', 'gbrain'), { recursive: true });\n writeJsonFile(path, result);\n}\n\nfunction commandSummary(binary: string, pagesDir: string): string[] {\n return [binary, 'import', pagesDir];\n}\n\nexport async function syncGbrain(\n corpus: string,\n opts: GbrainSyncOptions = {},\n): Promise {\n const dryRun = opts.dryRun ?? false;\n const startedAt = new Date().toISOString();\n\n if (dryRun) {\n const exportResult = exportForGbrain(corpus, { dryRun: true });\n return {\n status: 'ok',\n dryRun: true,\n startedAt,\n finishedAt: new Date().toISOString(),\n corpus,\n export: exportResult,\n gbrain: null,\n gbrainImport: { skipped: true, reason: 'dry-run' },\n warnings: exportResult.warnings,\n errors: [],\n };\n }\n\n const gbrainStatus = await getGbrainStatus();\n if (!gbrainStatus.installed) {\n const exportResult = opts.exportEvenIfMissing\n ? exportForGbrain(corpus, { dryRun: false })\n : null;\n const result: GbrainSyncResult = {\n status: 'error',\n dryRun: false,\n startedAt,\n finishedAt: new Date().toISOString(),\n corpus,\n export: exportResult,\n gbrain: null,\n gbrainImport: { skipped: true, reason: 'gbrain-missing' },\n warnings: exportResult?.warnings ?? [],\n errors: ['gbrain is not installed', ...gbrainStatus.errors],\n };\n writeSyncReport(corpus, result);\n return result;\n }\n\n const exportResult = exportForGbrain(corpus, { dryRun: false });\n const importCommand = commandSummary(gbrainStatus.binary, exportResult.pagesDir);\n const external = await runExternalCommand({\n command: gbrainStatus.binary,\n args: ['import', exportResult.pagesDir],\n cwd: corpus,\n timeoutMs: 120_000,\n });\n\n const result: GbrainSyncResult = {\n status: external.exitCode === 0 ? 'ok' : 'error',\n dryRun: false,\n startedAt,\n finishedAt: new Date().toISOString(),\n corpus,\n export: exportResult,\n gbrain: {\n binary: gbrainStatus.binary,\n version: gbrainStatus.version,\n command: importCommand,\n exitCode: external.exitCode,\n stdout: external.stdout,\n stderr: external.stderr,\n durationMs: external.durationMs,\n },\n warnings: exportResult.warnings,\n errors: external.exitCode === 0 ? [] : [external.error || external.stderr || 'gbrain import failed'],\n };\n writeSyncReport(corpus, result);\n return result;\n}\n\nexport async function doctorGbrain(corpus: string): Promise {\n const issues: GbrainDoctorIssue[] = [];\n const gbrain = await getGbrainStatus();\n if (!gbrain.installed) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: 'GBrain binary is not installed',\n recommendation: 'Install GBrain only if you want graph retrieval: git clone + bun install + bun link',\n });\n }\n\n const manifestPath = join(corpus, '.wiki', 'integrations', 'gbrain-export', 'manifest.json');\n const syncPath = syncReportPath(corpus);\n const manifest = readJsonFile(manifestPath);\n if (!manifest) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: 'GBrain export manifest is missing',\n recommendation: 'Run lorekit gbrain export',\n });\n } else {\n for (const page of manifest.pages) {\n const sourcePath = join(corpus, page.sourcePath);\n if (!existsSync(sourcePath)) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: `Exported page source is missing: ${page.sourcePath}`,\n recommendation: 'Run lorekit gbrain export to refresh the staging directory',\n });\n continue;\n }\n const currentHash = 'sha256:' + sha256(sourcePath);\n if (currentHash !== page.hash) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: `GBrain export is stale: ${page.sourcePath}`,\n recommendation: 'Run lorekit gbrain export or lorekit gbrain sync',\n });\n }\n }\n }\n\n if (!existsSync(syncPath)) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: 'GBrain sync report is missing',\n recommendation: 'Run lorekit gbrain sync after export when GBrain is installed',\n });\n } else {\n try {\n const report = JSON.parse(readFileSync(syncPath, 'utf-8')) as { status?: string };\n if (report.status !== 'ok') {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: 'Last GBrain sync did not finish successfully',\n recommendation: 'Inspect .wiki/integrations/gbrain/sync-report.json and rerun sync',\n });\n }\n } catch (e) {\n issues.push({\n section: 'gbrain',\n severity: 'error',\n message: `GBrain sync report is unreadable: ${(e as Error).message}`,\n recommendation: 'Regenerate it with lorekit gbrain sync',\n });\n }\n }\n\n const hasError = issues.some((i) => i.severity === 'error');\n return {\n status: hasError ? 'error' : issues.length > 0 ? 'warn' : 'ok',\n corpus,\n gbrain,\n manifestPath,\n syncReportPath: syncPath,\n issues,\n };\n}\n\nexport interface GbrainQueryOptions {\n staleCheck?: boolean;\n}\n\nexport async function queryGbrain(\n corpus: string,\n text: string,\n opts: GbrainQueryOptions = {},\n): Promise {\n const message =\n 'This answer comes from GBrain index generated from lorekit export. To persist new knowledge, use wiki-fileback / lorekit audit.';\n const shouldCheck = opts.staleCheck !== false;\n if (shouldCheck) {\n const check = await doctorGbrain(corpus);\n if (!check.gbrain.installed) {\n return {\n status: 'error',\n source: 'gbrain',\n message,\n staleCheck: { skipped: false, status: check.status, issues: check.issues },\n gbrain: null,\n warnings: check.issues.map((i) => i.message),\n errors: ['gbrain is not installed', ...check.gbrain.errors],\n };\n }\n if (check.status !== 'ok') {\n return {\n status: 'error',\n source: 'gbrain',\n message,\n staleCheck: { skipped: false, status: check.status, issues: check.issues },\n gbrain: null,\n warnings: check.issues.map((i) => i.message),\n errors: [\n 'GBrain export is not ready. Run lorekit gbrain sync first, or pass --no-stale-check to query anyway.',\n ...check.issues.map((i) => i.message),\n ],\n };\n }\n }\n\n const status = await getGbrainStatus();\n if (!status.installed) {\n return {\n status: 'error',\n source: 'gbrain',\n message,\n staleCheck: { skipped: !shouldCheck, status: null, issues: [] },\n gbrain: null,\n warnings: [],\n errors: ['gbrain is not installed', ...status.errors],\n };\n }\n\n const r = await runExternalCommand({\n command: status.binary,\n args: ['query', text],\n timeoutMs: 120_000,\n });\n return {\n status: r.exitCode === 0 ? 'ok' : 'error',\n source: 'gbrain',\n message,\n staleCheck: { skipped: !shouldCheck, status: shouldCheck ? 'ok' : null, issues: [] },\n gbrain: r,\n warnings: [],\n errors: r.exitCode === 0 ? [] : [r.error || r.stderr || 'gbrain query failed'],\n };\n}\n","import { existsSync } from 'node:fs';\nimport { homedir } from 'node:os';\nimport { join } from 'node:path';\nimport { runExternalCommand } from './process.js';\n\nexport const GBRAIN_INSTALL_HINT = [\n 'git clone https://github.com/garrytan/gbrain.git ~/code/gbrain',\n 'cd ~/code/gbrain',\n 'bun install',\n 'bun link',\n 'gbrain init',\n].join('\\n');\n\nexport interface GbrainStatusResult {\n installed: boolean;\n binary: string;\n version: string | null;\n brainInitialized: boolean;\n installHint: string;\n errors: string[];\n}\n\nexport async function getGbrainStatus(): Promise {\n const binary = process.env.LOREKIT_GBRAIN_BIN || 'gbrain';\n const errors: string[] = [];\n const versionProbe = await runExternalCommand({\n command: binary,\n args: ['--version'],\n timeoutMs: 10_000,\n });\n\n if (versionProbe.exitCode !== 0) {\n errors.push(versionProbe.error || versionProbe.stderr.trim() || 'gbrain binary not installed');\n return {\n installed: false,\n binary,\n version: null,\n brainInitialized: existsSync(join(homedir(), '.gbrain')),\n installHint: GBRAIN_INSTALL_HINT,\n errors,\n };\n }\n\n const version = (versionProbe.stdout || versionProbe.stderr).trim() || null;\n return {\n installed: true,\n binary,\n version,\n brainInitialized: existsSync(join(homedir(), '.gbrain')),\n installHint: GBRAIN_INSTALL_HINT,\n errors,\n };\n}\n","import { spawn } from 'node:child_process';\n\nexport interface ExternalCommandArgs {\n command: string;\n args: string[];\n cwd?: string;\n timeoutMs?: number;\n}\n\nexport interface ExternalCommandResult {\n command: string;\n args: string[];\n exitCode: number;\n stdout: string;\n stderr: string;\n durationMs: number;\n timedOut: boolean;\n error?: string;\n}\n\nexport function runExternalCommand(opts: ExternalCommandArgs): Promise {\n const startedAt = Date.now();\n const timeoutMs = opts.timeoutMs ?? 120_000;\n\n return new Promise((resolve) => {\n let stdout = '';\n let stderr = '';\n let settled = false;\n let timedOut = false;\n\n const child = spawn(opts.command, opts.args, {\n cwd: opts.cwd,\n shell: false,\n stdio: ['ignore', 'pipe', 'pipe'],\n });\n\n const timer = setTimeout(() => {\n timedOut = true;\n child.kill('SIGTERM');\n }, timeoutMs);\n\n child.stdout?.on('data', (chunk: Buffer) => {\n stdout += chunk.toString('utf-8');\n });\n child.stderr?.on('data', (chunk: Buffer) => {\n stderr += chunk.toString('utf-8');\n });\n\n child.on('error', (e: NodeJS.ErrnoException) => {\n if (settled) return;\n settled = true;\n clearTimeout(timer);\n resolve({\n command: opts.command,\n args: opts.args,\n exitCode: -1,\n stdout,\n stderr,\n durationMs: Date.now() - startedAt,\n timedOut,\n error: e.message,\n });\n });\n\n child.on('close', (code) => {\n if (settled) return;\n settled = true;\n clearTimeout(timer);\n resolve({\n command: opts.command,\n args: opts.args,\n exitCode: code ?? (timedOut ? 124 : 1),\n stdout,\n stderr,\n durationMs: Date.now() - startedAt,\n timedOut,\n });\n });\n });\n}\n","import { createHash } from 'node:crypto';\nimport {\n existsSync,\n mkdirSync,\n readFileSync,\n readdirSync,\n renameSync,\n statSync,\n writeFileSync,\n} from 'node:fs';\nimport { dirname, join, relative, resolve } from 'node:path';\nimport matter from 'gray-matter';\nimport {\n type GbrainExportManifest,\n type GbrainExportManifestPage,\n type GbrainExportManifestSkipped,\n writeJsonFile,\n} from './manifest.js';\n\nexport interface GbrainExportOptions {\n out?: string;\n dryRun?: boolean;\n}\n\nexport interface GbrainExportResult {\n status: 'ok' | 'warn';\n dryRun: boolean;\n corpus: string;\n exportDir: string;\n pagesDir: string;\n manifestPath: string;\n exportedAt: string;\n pagesExported: number;\n pagesSkipped: number;\n pages: GbrainExportManifestPage[];\n skipped: GbrainExportManifestSkipped[];\n warnings: string[];\n}\n\ninterface Candidate {\n absPath: string;\n sourcePath: string;\n}\n\nfunction toPosixPath(path: string): string {\n return path.split('\\\\').join('/');\n}\n\nfunction sha256Content(content: Buffer | string): string {\n return 'sha256:' + createHash('sha256').update(content).digest('hex');\n}\n\nfunction exportRoot(corpus: string, out?: string): string {\n if (!out) return join(corpus, '.wiki', 'integrations', 'gbrain-export');\n return resolve(corpus, out);\n}\n\nfunction collectKnowledgeMarkdown(corpus: string): {\n candidates: Candidate[];\n skipped: GbrainExportManifestSkipped[];\n warnings: string[];\n} {\n const root = join(corpus, '知识库');\n const candidates: Candidate[] = [];\n const skipped: GbrainExportManifestSkipped[] = [];\n const warnings: string[] = [];\n\n if (!existsSync(root)) {\n warnings.push('知识库/ not found; no pages exported');\n return { candidates, skipped, warnings };\n }\n\n function walk(dir: string): void {\n for (const entry of readdirSync(dir, { withFileTypes: true })) {\n if (entry.name.startsWith('.')) continue;\n const absPath = join(dir, entry.name);\n if (entry.isDirectory()) {\n walk(absPath);\n continue;\n }\n if (!entry.isFile() || !entry.name.endsWith('.md')) continue;\n\n const sourcePath = toPosixPath(relative(corpus, absPath));\n if (sourcePath === '知识库/模板' || sourcePath.startsWith('知识库/模板/')) {\n skipped.push({ sourcePath, reason: 'template file skipped by default' });\n continue;\n }\n if (entry.name === '_INDEX.md') {\n skipped.push({ sourcePath, reason: 'index file skipped by default' });\n continue;\n }\n if (entry.name === 'index.md') {\n skipped.push({ sourcePath, reason: 'local index file skipped by default' });\n continue;\n }\n candidates.push({ absPath, sourcePath });\n }\n }\n\n walk(root);\n candidates.sort((a, b) => a.sourcePath.localeCompare(b.sourcePath));\n skipped.sort((a, b) => a.sourcePath.localeCompare(b.sourcePath));\n return { candidates, skipped, warnings };\n}\n\nfunction ensureFreshExportDir(root: string, exportedAt: string): void {\n mkdirSync(root, { recursive: true });\n const backupRoot = join(root, 'backups', exportedAt.replace(/[:.]/g, '-'));\n let moved = false;\n\n for (const name of ['pages', 'manifest.json', 'README.md']) {\n const current = join(root, name);\n if (!existsSync(current)) continue;\n if (!moved) {\n mkdirSync(backupRoot, { recursive: true });\n moved = true;\n }\n renameSync(current, join(backupRoot, name));\n }\n}\n\nfunction normalizeForGbrain(raw: string, sourcePath: string, exportedAt: string): string {\n const parsed = matter(raw);\n const data: Record = { ...parsed.data };\n delete data.slug;\n data.lorekit_source_path = sourcePath;\n data.lorekit_layer = 'artifact';\n data.lorekit_hash = sha256Content(raw);\n data.lorekit_exported_at = exportedAt;\n return matter.stringify(parsed.content, data);\n}\n\nfunction pageMeta(raw: string): { title: string | null; type: string | null } {\n const parsed = matter(raw);\n return {\n title: typeof parsed.data.title === 'string' ? parsed.data.title : null,\n type: typeof parsed.data.type === 'string' ? parsed.data.type : null,\n };\n}\n\nexport function exportForGbrain(corpus: string, opts: GbrainExportOptions = {}): GbrainExportResult {\n const dryRun = opts.dryRun ?? false;\n const exportedAt = new Date().toISOString();\n const root = exportRoot(corpus, opts.out);\n const pagesDir = join(root, 'pages');\n const manifestPath = join(root, 'manifest.json');\n const { candidates, skipped, warnings } = collectKnowledgeMarkdown(corpus);\n\n const pages: GbrainExportManifestPage[] = [];\n for (const candidate of candidates) {\n const rawBuffer = readFileSync(candidate.absPath);\n const raw = rawBuffer.toString('utf-8');\n const relUnderKnowledge = toPosixPath(relative(join(corpus, '知识库'), candidate.absPath));\n const exportPath = toPosixPath(join('pages', relUnderKnowledge));\n const meta = pageMeta(raw);\n pages.push({\n sourcePath: candidate.sourcePath,\n exportPath,\n title: meta.title,\n type: meta.type,\n hash: sha256Content(rawBuffer),\n bytes: statSync(candidate.absPath).size,\n status: 'exported',\n });\n }\n\n if (!dryRun) {\n ensureFreshExportDir(root, exportedAt);\n for (const candidate of candidates) {\n const raw = readFileSync(candidate.absPath, 'utf-8');\n const relUnderKnowledge = relative(join(corpus, '知识库'), candidate.absPath);\n const target = join(pagesDir, relUnderKnowledge);\n mkdirSync(dirname(target), { recursive: true });\n writeFileSync(target, normalizeForGbrain(raw, candidate.sourcePath, exportedAt), 'utf-8');\n }\n const manifest: GbrainExportManifest = {\n version: 1,\n integration: 'gbrain',\n source: 'lorekit',\n corpus,\n exportedAt,\n pages,\n skipped,\n warnings,\n };\n writeJsonFile(manifestPath, manifest);\n writeFileSync(\n join(root, 'README.md'),\n [\n '# GBrain export',\n '',\n 'Generated by `lorekit gbrain export`.',\n 'This directory is a staging copy for GBrain import; lorekit 知识库/ remains the source of truth.',\n '',\n ].join('\\n'),\n 'utf-8',\n );\n }\n\n return {\n status: warnings.length > 0 ? 'warn' : 'ok',\n dryRun,\n corpus,\n exportDir: root,\n pagesDir,\n manifestPath,\n exportedAt,\n pagesExported: pages.length,\n pagesSkipped: skipped.length,\n pages,\n skipped,\n warnings,\n };\n}\n","import { existsSync, readFileSync, writeFileSync } from 'node:fs';\n\nexport interface GbrainExportManifestPage {\n sourcePath: string;\n exportPath: string;\n title: string | null;\n type: string | null;\n hash: string;\n bytes: number;\n status: 'exported';\n}\n\nexport interface GbrainExportManifestSkipped {\n sourcePath: string;\n reason: string;\n}\n\nexport interface GbrainExportManifest {\n version: 1;\n integration: 'gbrain';\n source: 'lorekit';\n corpus: string;\n exportedAt: string;\n pages: GbrainExportManifestPage[];\n skipped: GbrainExportManifestSkipped[];\n warnings: string[];\n}\n\nexport function writeJsonFile(path: string, data: unknown): void {\n writeFileSync(path, JSON.stringify(data, null, 2) + '\\n', 'utf-8');\n}\n\nexport function readJsonFile(path: string): T | null {\n if (!existsSync(path)) return null;\n return JSON.parse(readFileSync(path, 'utf-8')) as T;\n}\n","import type { Command } from 'commander';\nimport { readFileSync, statSync } from 'node:fs';\nimport { relative } from 'node:path';\nimport { requireCorpus, collectMdFiles, extractFrontmatter } from '../lib/corpus.js';\nimport { debug, out } from '../utils/logger.js';\n\nexport function statsCommand(program: Command) {\n program\n .command('stats')\n .description('output corpus statistics as JSON')\n .action(() => {\n const corpus = requireCorpus();\n const files = collectMdFiles(corpus);\n const now = Date.now();\n const sevenDays = 7 * 24 * 60 * 60 * 1000;\n\n const byType: Record = {};\n const byDir: Record = {};\n const inboundLinks = new Set();\n let recentActive7d = 0;\n let lastUpdated = '';\n\n for (const file of files) {\n // by_type\n const fm = extractFrontmatter(file);\n const type = fm.type || 'unknown';\n byType[type] = (byType[type] || 0) + 1;\n\n // by_dir (top-level directory relative to corpus)\n const rel = relative(corpus, file);\n const topDir = rel.split('/')[0] || '.';\n byDir[topDir] = (byDir[topDir] || 0) + 1;\n\n // recent_active_7d\n try {\n const mtime = statSync(file).mtime;\n if (now - mtime.getTime() < sevenDays) {\n recentActive7d++;\n }\n const iso = mtime.toISOString();\n if (iso > lastUpdated) lastUpdated = iso;\n } catch (e) {\n // 单文件 stat 失败不应中断整体统计；走 debug\n debug(`stats: stat(${file}) failed: ${(e as Error).message}`);\n }\n\n // Collect wikilink targets to identify orphans later\n try {\n const content = readFileSync(file, 'utf-8');\n const linkRe = /\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/g;\n let m: RegExpExecArray | null;\n while ((m = linkRe.exec(content)) !== null) {\n inboundLinks.add(m[1].trim());\n }\n } catch (e) {\n // 单文件读失败时该文件的 wikilinks 漏掉，但不影响全局统计；走 debug\n debug(`stats: readFileSync(${file}) failed: ${(e as Error).message}`);\n }\n }\n\n // Compute orphans: pages that receive zero inbound links\n const orphans: string[] = [];\n for (const file of files) {\n const rel = relative(corpus, file);\n const stem = rel.replace(/\\.md$/, '');\n const baseName = stem.split('/').pop()!;\n // A page is an orphan if neither its full relative stem nor its base name\n // appears as a wikilink target\n if (!inboundLinks.has(stem) && !inboundLinks.has(baseName)) {\n orphans.push(rel);\n }\n }\n\n const result = {\n total_pages: files.length,\n by_type: byType,\n by_dir: byDir,\n recent_active_7d: recentActive7d,\n orphans: orphans.length,\n last_updated: lastUpdated || null,\n };\n\n out(JSON.stringify(result, null, 2));\n });\n}\n","import type { Command } from 'commander';\nimport { readFileSync } from 'node:fs';\nimport { relative, basename } from 'node:path';\nimport chalk from 'chalk';\nimport { requireCorpus, collectMdFiles, extractFrontmatter } from '../lib/corpus.js';\nimport {\n lintSkipFrontmatterBasenames,\n lintRootOnlySkipBasenames,\n lintSkipOrphanPrefixes,\n lintSkipFrontmatterPrefixes,\n lintSkipBrokenLinkPrefixes,\n} from '../lib/paths.js';\nimport { bad, ok, print } from '../utils/logger.js';\n\nconst REQUIRED_FIELDS = ['type', 'title', 'slug', 'created', 'updated'] as const;\n\nfunction isRootLevel(rel: string): boolean {\n return !rel.includes('/');\n}\n\nfunction shouldSkipFrontmatter(rel: string): boolean {\n const base = basename(rel);\n if (lintSkipFrontmatterBasenames.has(base)) return true;\n if (isRootLevel(rel) && lintRootOnlySkipBasenames.has(base)) return true;\n for (const prefix of lintSkipFrontmatterPrefixes) {\n if (rel.startsWith(prefix)) return true;\n }\n return false;\n}\n\nfunction shouldSkipOrphan(rel: string): boolean {\n const base = basename(rel);\n if (lintSkipFrontmatterBasenames.has(base)) return true;\n if (isRootLevel(rel) && lintRootOnlySkipBasenames.has(base)) return true;\n for (const prefix of lintSkipOrphanPrefixes) {\n if (rel.startsWith(prefix)) return true;\n }\n return false;\n}\n\nfunction shouldSkipBrokenLink(rel: string): boolean {\n for (const prefix of lintSkipBrokenLinkPrefixes) {\n if (rel.startsWith(prefix)) return true;\n }\n return false;\n}\n\n// 系统隔离：frontmatter `graph-excluded: true` 的页面不入 Obsidian 图谱，\n// 所以也不应被 orphan 检查报\"无入链\"。典型：QUESTIONS.md / overview.md / 输出/*\nfunction isGraphExcluded(fm: Record): boolean {\n return fm['graph-excluded'] === true || fm['graph_excluded'] === true;\n}\n\n// 去掉围栏代码块和行内代码，避免文档里 `[[Page]]` 这类占位符被当作真 wikilink\nfunction stripCodeBlocks(content: string): string {\n content = content.replace(/```[\\s\\S]*?```/g, '');\n content = content.replace(/`[^`\\n]+`/g, '');\n return content;\n}\n\ninterface LintIssue {\n file: string;\n kind: 'missing-field' | 'broken-link' | 'orphan';\n detail: string;\n}\n\nexport function runLint(corpus: string): LintIssue[] {\n const files = collectMdFiles(corpus);\n const issues: LintIssue[] = [];\n\n // Build lookup sets for wikilink resolution\n // Map: base name (no ext) → relative path, and full relative stem → relative path\n const stemSet = new Set();\n const baseNameSet = new Set();\n // Track inbound links per base name / stem for orphan detection\n const inboundLinks = new Set();\n\n for (const file of files) {\n const rel = relative(corpus, file);\n const stem = rel.replace(/\\.md$/, '');\n stemSet.add(stem);\n baseNameSet.add(stem.split('/').pop()!);\n\n // 文件夹包装式原料：`原料/文章/xxx/article.md` 的规范引用是 `[[原料/文章/xxx]]`\n // 把父目录路径也登记为有效链接目标\n if (stem.endsWith('/article')) {\n const folderStem = stem.replace(/\\/article$/, '');\n stemSet.add(folderStem);\n baseNameSet.add(folderStem.split('/').pop()!);\n }\n }\n\n // Pass 1: frontmatter + collect wikilinks\n const fileLinks = new Map();\n const fileFrontmatter = new Map>();\n\n for (const file of files) {\n const rel = relative(corpus, file);\n\n // 总是提取 fm 存起来（Pass 3 orphan 检查用 graph-excluded 判断）\n let fm: Record = {};\n try {\n fm = extractFrontmatter(file);\n } catch {\n /* 无 frontmatter / 读不到都按空对象处理 */\n }\n fileFrontmatter.set(rel, fm);\n\n // Check required frontmatter fields (skip top-level config/index files)\n if (!shouldSkipFrontmatter(rel)) {\n for (const field of REQUIRED_FIELDS) {\n if (!fm[field]) {\n issues.push({\n file: rel,\n kind: 'missing-field',\n detail: `missing frontmatter field: ${field}`,\n });\n }\n }\n }\n\n // Extract wikilinks (ignore matches inside code blocks)\n try {\n const content = stripCodeBlocks(readFileSync(file, 'utf-8'));\n const linkRe = /\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/g;\n const targets: string[] = [];\n let m: RegExpExecArray | null;\n while ((m = linkRe.exec(content)) !== null) {\n const target = m[1].trim();\n targets.push(target);\n inboundLinks.add(target);\n }\n fileLinks.set(rel, targets);\n } catch {\n /* skip unreadable files */\n }\n }\n\n // Pass 2: broken links\n for (const [rel, targets] of fileLinks) {\n if (shouldSkipBrokenLink(rel)) continue; // 模板占位符不算死链\n for (const target of targets) {\n if (!stemSet.has(target) && !baseNameSet.has(target)) {\n issues.push({\n file: rel,\n kind: 'broken-link',\n detail: `broken link: [[${target}]]`,\n });\n }\n }\n }\n\n // Pass 3: orphan pages (no inbound links)\n for (const file of files) {\n const rel = relative(corpus, file);\n if (shouldSkipOrphan(rel)) continue;\n\n // graph-excluded 系统文件（QUESTIONS.md / overview.md / 输出/* 等）不入 Obsidian 图谱，\n // 天然\"无入链\"合理，不应报 orphan\n const fm = fileFrontmatter.get(rel) ?? {};\n if (isGraphExcluded(fm)) continue;\n\n const stem = rel.replace(/\\.md$/, '');\n const baseName = stem.split('/').pop()!;\n\n let hasInbound = inboundLinks.has(stem) || inboundLinks.has(baseName);\n\n // 文件夹包装式原料：父目录形式的引用也算入链\n if (!hasInbound && stem.endsWith('/article')) {\n const folderStem = stem.replace(/\\/article$/, '');\n const folderName = folderStem.split('/').pop()!;\n hasInbound = inboundLinks.has(folderStem) || inboundLinks.has(folderName);\n }\n\n if (!hasInbound) {\n issues.push({\n file: rel,\n kind: 'orphan',\n detail: 'orphan page (no inbound links)',\n });\n }\n }\n\n return issues;\n}\n\nexport function printLintReport(corpus: string, issues: LintIssue[]): void {\n print(chalk.bold(`\\nlorekit lint — ${corpus}\\n`));\n\n if (issues.length === 0) {\n ok('no issues found');\n print();\n return;\n }\n\n // Group by kind\n const grouped: Record = {};\n for (const issue of issues) {\n (grouped[issue.kind] ??= []).push(issue);\n }\n\n const kindLabels: Record = {\n 'missing-field': 'frontmatter',\n 'broken-link': 'broken links',\n orphan: 'orphan pages',\n };\n\n for (const [kind, items] of Object.entries(grouped)) {\n print(chalk.cyan(`── ${kindLabels[kind] ?? kind} (${items.length}) ──`));\n for (const item of items) {\n bad(`${item.file}: ${item.detail}`);\n }\n print();\n }\n\n print(chalk.yellow(`${issues.length} issue(s) total\\n`));\n}\n\nexport function lintCommand(program: Command) {\n program\n .command('lint')\n .description('check frontmatter, broken wikilinks, and orphan pages')\n .action(() => {\n const corpus = requireCorpus();\n const issues = runLint(corpus);\n printLintReport(corpus, issues);\n if (issues.length > 0) process.exitCode = 1;\n });\n}\n","import { Command } from 'commander';\nimport { existsSync, mkdirSync, readFileSync, writeFileSync } from 'node:fs';\nimport { join, basename } from 'node:path';\nimport {\n requireCorpus,\n collectMdFiles,\n hasFrontmatter,\n extractFrontmatter,\n} from '../lib/corpus.js';\nimport { tsCompact, tsMinute } from '../lib/date.js';\nimport { ok, err, print } from '../utils/logger.js';\n\nconst SEVERITY_ORDER: Record = { high: 3, medium: 2, low: 1 };\n\ninterface AuditEntry {\n severity: string;\n sevOrder: number;\n target: string;\n status: string;\n created: string;\n preview: string;\n}\n\nfunction extractPreview(filePath: string): string {\n const content = readFileSync(filePath, 'utf-8');\n const lines = content.split('\\n');\n let inFm = false;\n for (const line of lines) {\n if (line.trimEnd() === '---') {\n if (!inFm) {\n inFm = true;\n continue;\n } else {\n inFm = false;\n continue;\n }\n }\n if (inFm) continue;\n if (line.trim() === '') continue;\n return line.trim();\n }\n return '';\n}\n\nfunction listAudit(root: string, filter: 'all' | 'open' | 'resolved'): void {\n const dirs: string[] = [];\n if (filter === 'open' || filter === 'all') dirs.push(join(root, '反馈', '待处理'));\n if (filter === 'resolved' || filter === 'all') dirs.push(join(root, '反馈', '已处理'));\n\n const entries: AuditEntry[] = [];\n\n for (const dir of dirs) {\n if (!existsSync(dir)) continue;\n const files = collectMdFiles(dir);\n for (const f of files) {\n if (basename(f) === '.gitkeep') continue;\n if (!hasFrontmatter(f)) continue;\n\n const fm = extractFrontmatter(f);\n const severity = (fm.severity as string) ?? '';\n const target = (fm.target as string) ?? '';\n const created = (fm.created as string) ?? '';\n const status = (fm.status as string) ?? '';\n const preview = extractPreview(f);\n\n entries.push({\n severity,\n sevOrder: SEVERITY_ORDER[severity] ?? 0,\n target,\n status,\n created,\n preview,\n });\n }\n }\n\n if (entries.length === 0) {\n print('No audit entries found.');\n return;\n }\n\n // Sort by severity descending\n entries.sort((a, b) => b.sevOrder - a.sevOrder);\n\n for (const e of entries) {\n print(`[${e.severity}] ${e.target} — ${e.preview} (${e.created}) [${e.status}]`);\n }\n print();\n print(`Total: ${entries.length} entries`);\n}\n\nfunction createAudit(root: string, target: string, severity: string, text: string): void {\n if (!target) {\n err('audit --create requires --target');\n process.exit(2);\n }\n if (!severity) {\n err('audit --create requires --severity');\n process.exit(2);\n }\n if (!text) {\n err('audit --create requires --text');\n process.exit(2);\n }\n\n if (!['low', 'medium', 'high'].includes(severity)) {\n err(`severity must be low|medium|high, got: ${severity}`);\n process.exit(2);\n }\n\n const slug = basename(target, '.md').replace(/[\\s/]/g, '-').toLowerCase();\n\n const now = new Date();\n const filename = `${tsCompact(now)}-${slug}.md`;\n const tsFm = tsMinute(now);\n\n const destDir = join(root, '反馈', '待处理');\n mkdirSync(destDir, { recursive: true });\n\n const dest = join(destDir, filename);\n const content = `---\ntype: audit\ntarget: ${target}\nseverity: ${severity}\nstatus: open\ncreated: ${tsFm}\n---\n\n${text}\n`;\n\n writeFileSync(dest, content, 'utf-8');\n ok(`created: 反馈/待处理/${filename}`);\n print(` target: ${target}`);\n print(` severity: ${severity}`);\n}\n\nexport function auditCommand(program: Command): void {\n const cmd = program\n .command('audit')\n .description('Human feedback loop for corpus content')\n .option('--list', 'List entries (default)')\n .option('--open', 'Only show open (待处理) entries')\n .option('--resolved', 'Only show resolved (已处理) entries')\n .option('--create', 'Create a new audit entry')\n .option('--target ', 'Target file path (relative to corpus root)')\n .option('--severity ', 'Severity: low | medium | high')\n .option('--text ', 'Feedback text');\n\n cmd.action((opts) => {\n const root = requireCorpus();\n\n if (opts.create) {\n createAudit(root, opts.target ?? '', opts.severity ?? '', opts.text ?? '');\n } else {\n let filter: 'all' | 'open' | 'resolved' = 'all';\n if (opts.open) filter = 'open';\n else if (opts.resolved) filter = 'resolved';\n listAudit(root, filter);\n }\n });\n}\n","/**\n * date.ts — 日期 / 时间戳 helper 集中处。\n *\n * 历史背景（LEGACY P1-2）：`pad(n)`、`today()`、`todayYMD()` 等小工具散落在\n * init / index / audit / snapshot / ingest / fetcher 各文件内重复实现。本文件\n * 把它们集中起来，下游 import 即可。\n *\n * 时区策略：除 `*Shanghai*` 后缀的函数显式按 Asia/Shanghai 偏移外，其他函数\n * 默认走 JS 系统时区（在先生这台机器上 = Asia/Shanghai）。\n *\n * 后续批次（9 / 21）继续往本文件追加；先生不要在其他文件里\"另起炉灶\"。\n */\n\nconst SHANGHAI_TZ_OFFSET_MS = 8 * 60 * 60 * 1000;\n\n/** 把数字补足到 2 位（如月 / 日 / 时 / 分 / 秒） */\nexport function pad2(n: number): string {\n return String(n).padStart(2, '0');\n}\n\n/** 今天的 YYYY-MM-DD（按 Asia/Shanghai 偏移）—— 适合记录 source_date / created / updated */\nexport function todayYMDShanghai(): string {\n const d = new Date(Date.now() + SHANGHAI_TZ_OFFSET_MS);\n return d.toISOString().slice(0, 10);\n}\n\n/** 把任意 Date 格式化成 YYYY-MM-DD（**UTC**，常用于 frontmatter 解析回写） */\nexport function dateToYMDUtc(d: Date): string {\n return `${d.getUTCFullYear()}-${pad2(d.getUTCMonth() + 1)}-${pad2(d.getUTCDate())}`;\n}\n\n/** 把任意 Date 格式化成 YYYY-MM-DD（**本地**时区，常用于 mtime 显示） */\nexport function dateToYMDLocal(d: Date): string {\n return `${d.getFullYear()}-${pad2(d.getMonth() + 1)}-${pad2(d.getDate())}`;\n}\n\n/**\n * 紧凑文件名时间戳：YYYYMMDD-HHMMSS（本地时区）。\n * 用在 snapshot 文件名、audit 反馈条目文件名等不希望出现冒号 / 空格的位置。\n */\nexport function tsCompact(d: Date = new Date()): string {\n return [\n d.getFullYear(),\n pad2(d.getMonth() + 1),\n pad2(d.getDate()),\n '-',\n pad2(d.getHours()),\n pad2(d.getMinutes()),\n pad2(d.getSeconds()),\n ].join('');\n}\n\n/** YYYY-MM-DD HH:MM（本地时区，audit frontmatter 用） */\nexport function tsMinute(d: Date = new Date()): string {\n return `${d.getFullYear()}-${pad2(d.getMonth() + 1)}-${pad2(d.getDate())} ${pad2(d.getHours())}:${pad2(d.getMinutes())}`;\n}\n","import { Command } from 'commander';\nimport { existsSync, readdirSync, readFileSync, statSync, writeFileSync, lstatSync } from 'node:fs';\nimport { join, basename, relative, resolve } from 'node:path';\nimport { requireCorpus, hasFrontmatter, extractFrontmatter } from '../lib/corpus.js';\nimport {\n indexExcludeDirPrefixes,\n isIndexExcluded,\n isFolderPackage,\n} from '../lib/paths.js';\nimport { dateToYMDUtc, dateToYMDLocal } from '../lib/date.js';\nimport { ok, warn, err } from '../utils/logger.js';\n\nfunction extractSummary(filePath: string): string {\n const content = readFileSync(filePath, 'utf-8');\n const lines = content.split('\\n');\n let found = false;\n for (const line of lines) {\n if (/^## Compiled Truth/.test(line)) {\n found = true;\n continue;\n }\n if (!found) continue;\n if (/^---\\s*$/.test(line)) break;\n if (/^## /.test(line)) break;\n if (line.trim() === '') continue;\n\n let text = line.trim().replace(/^\\*\\*[^*]*\\*\\*\\s*/, '');\n const periodMatch = text.match(/^([^。.]*[。.])/);\n if (periodMatch && periodMatch[1].length <= 50) return periodMatch[1];\n return text.slice(0, 50);\n }\n return '';\n}\n\ninterface IndexEntry {\n slug: string; // corpus 根相对路径，不含 .md；对目录包装式原料用父目录路径\n title: string; // frontmatter.title 或 basename\n summary: string; // Compiled Truth 首句或 \"—\"\n updated: string; // YYYY-MM-DD\n}\n\nfunction readEntryFromFile(filePath: string, slug: string): IndexEntry {\n let title = '';\n let updated = '';\n let summary = '';\n\n if (hasFrontmatter(filePath)) {\n const fm = extractFrontmatter(filePath);\n title = typeof fm.title === 'string' ? fm.title : fm.title != null ? String(fm.title) : '';\n\n if (fm.updated instanceof Date) {\n updated = dateToYMDUtc(fm.updated);\n } else {\n updated = fm.updated != null ? String(fm.updated) : '';\n }\n\n summary = extractSummary(filePath);\n if (!summary) summary = '—';\n } else {\n summary = '（缺少 frontmatter）';\n }\n\n if (!title) title = basename(filePath, '.md');\n\n if (!updated) {\n try {\n updated = dateToYMDLocal(statSync(filePath).mtime);\n } catch {\n updated = 'unknown';\n }\n }\n\n return { slug, title, summary, updated };\n}\n\n// 转义表格单元格里的 | 字符（防止撑散 markdown 表格）\nfunction escapeCell(s: string): string {\n return s.replace(/\\|/g, '\\\\|');\n}\n\nfunction buildIndex(dir: string, root: string): boolean {\n const reldir = dir === root ? '' : relative(root, dir);\n const dirName = reldir === '' ? basename(root) : basename(dir);\n const indexFile = join(dir, '_INDEX.md');\n\n let names: string[];\n try {\n names = readdirSync(dir, { encoding: 'utf-8' });\n } catch {\n return false;\n }\n\n const entries: IndexEntry[] = [];\n\n for (const name of names) {\n if (name.startsWith('.')) continue;\n if (name === '_INDEX.md' || name === '.gitkeep') continue;\n\n const full = join(dir, name);\n let stat;\n try {\n stat = lstatSync(full);\n } catch {\n continue;\n }\n\n if (stat.isFile() && name.endsWith('.md')) {\n // 普通 .md 文件：slug = 完整相对路径去 .md\n const slug = relative(root, full).replace(/\\.md$/, '');\n entries.push(readEntryFromFile(full, slug));\n } else if (stat.isDirectory() && isFolderPackage(full)) {\n // 目录包装式原料：xxx/article.md → slug = xxx 父目录路径\n const articlePath = join(full, 'article.md');\n const slug = relative(root, full);\n entries.push(readEntryFromFile(articlePath, slug));\n }\n }\n\n if (entries.length === 0) return false;\n\n entries.sort((a, b) => b.updated.localeCompare(a.updated));\n\n const lines: string[] = [];\n lines.push(`# ${dirName}`);\n lines.push('');\n lines.push(`> 本目录共 ${entries.length} 个条目。由 \\`lorekit index\\` 自动生成。`);\n lines.push('');\n lines.push('| 条目 | 摘要 | 更新 |');\n lines.push('|---|---|---|');\n for (const e of entries) {\n lines.push(`| [[${e.slug}]] | ${escapeCell(e.summary)} | ${e.updated} |`);\n }\n lines.push('');\n\n writeFileSync(indexFile, lines.join('\\n'), 'utf-8');\n const display = reldir === '' ? '_INDEX.md' : `${reldir}/_INDEX.md`;\n ok(`${display} (${entries.length} entries)`);\n return true;\n}\n\n/**\n * 递归发现\"可索引目录\"：\n * - 目录下有直接 .md 文件（非 _INDEX.md / 隐藏）\n * - 或目录下有\"目录包装式原料\"子目录（xxx/article.md 形式）\n *\n * 排除规则：\n * - indexExcludeDirPrefixes 开头的目录整枝跳过\n * - corpus 根本身不索引（L0 = index.md 已承担其职能）\n * - 目录包装式原料的内部目录不递归（它们是条目，不是容器）\n */\nfunction findIndexableDirs(root: string): string[] {\n const results: string[] = [];\n\n function walk(dir: string, isRoot: boolean) {\n const rel = dir === root ? '' : relative(root, dir);\n if (rel && isIndexExcluded(rel)) return;\n\n let names: string[];\n try {\n names = readdirSync(dir, { encoding: 'utf-8' });\n } catch {\n return;\n }\n\n if (!isRoot) {\n let hasIndexable = false;\n for (const name of names) {\n if (name.startsWith('.')) continue;\n if (name === '_INDEX.md' || name === '.gitkeep') continue;\n\n const full = join(dir, name);\n let stat;\n try {\n stat = lstatSync(full);\n } catch {\n continue;\n }\n\n if (stat.isFile() && name.endsWith('.md')) {\n hasIndexable = true;\n break;\n }\n if (stat.isDirectory() && isFolderPackage(full)) {\n hasIndexable = true;\n break;\n }\n }\n if (hasIndexable) results.push(dir);\n }\n\n // 递归子目录（跳过目录包装式原料的内部）\n for (const name of names) {\n if (name.startsWith('.')) continue;\n const full = join(dir, name);\n let stat;\n try {\n stat = lstatSync(full);\n } catch {\n continue;\n }\n if (!stat.isDirectory()) continue;\n if (isFolderPackage(full)) continue;\n walk(full, false);\n }\n }\n\n walk(root, true);\n return results.sort();\n}\n\n/**\n * 程序内复用入口：扫 corpus 生成所有 _INDEX.md。\n * 返回生成的文件数。specificDir 限定在单个子目录（相对 root 的路径）。\n *\n * 铁律：corpus 根不建 _INDEX.md —— L0 `corpus/index.md` 已经承担根级索引职能。\n * `--dir .` / `--dir \"\"` / `--dir ./` 这类 bypass 会被拒绝。\n */\nexport function runIndex(root: string, specificDir?: string): number {\n if (specificDir) {\n const full = join(root, specificDir);\n if (!existsSync(full)) {\n throw new Error(`directory not found: ${specificDir}`);\n }\n // 防止 --dir . / --dir \"\" / --dir ./ 等写法绕过根排除，在 corpus 根生成 _INDEX.md\n if (resolve(full) === resolve(root)) {\n throw new Error(\n `cannot index the corpus root itself — L0 corpus/index.md already serves this role`,\n );\n }\n // 子目录也要守住排除规则（避免 --dir _工作台 / --dir 系统 等强行生成）\n const rel = relative(root, full);\n if (isIndexExcluded(rel)) {\n throw new Error(\n `directory \"${rel}\" is in the exclude list (${indexExcludeDirPrefixes.join(' / ')})`,\n );\n }\n return buildIndex(full, root) ? 1 : 0;\n }\n const dirs = findIndexableDirs(root);\n if (dirs.length === 0) return 0;\n let generated = 0;\n for (const d of dirs) {\n if (buildIndex(d, root)) generated++;\n }\n return generated;\n}\n\nexport function indexCommand(program: Command): void {\n const cmd = program\n .command('index')\n .description('Generate _INDEX.md recursively for corpus directories')\n .option('--dir ', 'Only update a specific subdirectory');\n\n cmd.action((opts) => {\n const root = requireCorpus();\n\n try {\n if (opts.dir) {\n runIndex(root, opts.dir);\n } else {\n const generated = runIndex(root);\n if (generated === 0) {\n warn('no indexable directories found');\n } else {\n ok(`generated ${generated} _INDEX.md file(s)`);\n }\n }\n } catch (e) {\n err((e as Error).message);\n process.exit(1);\n }\n });\n}\n","import { Command } from 'commander';\nimport {\n existsSync,\n mkdirSync,\n readdirSync,\n symlinkSync,\n unlinkSync,\n readlinkSync,\n lstatSync,\n} from 'node:fs';\nimport { join } from 'node:path';\nimport { lorekitRoot } from '../utils/fs.js';\nimport { ok, err, out, print } from '../utils/logger.js';\n\nfunction isSymlink(path: string): boolean {\n try {\n return lstatSync(path).isSymbolicLink();\n } catch {\n return false;\n }\n}\n\nexport function installSkillsCommand(program: Command): void {\n const cmd = program\n .command('install-skills')\n .description('Install lorekit skills into a harness (e.g. Claude Code)')\n .option('--target ', 'Target harness (currently only \"claude-code\")')\n .option('--list', 'List currently installed wiki-* skill symlinks')\n .option('--uninstall', 'Remove installed skill symlinks');\n\n cmd.action((opts) => {\n const skillsDest = join(process.env.HOME ?? '', '.claude', 'skills');\n\n // --list mode\n if (opts.list) {\n if (!existsSync(skillsDest)) return;\n const names = readdirSync(skillsDest, { encoding: 'utf-8' });\n for (const name of names) {\n if (!name.startsWith('wiki-')) continue;\n const full = join(skillsDest, name);\n if (!isSymlink(full)) continue;\n const target = readlinkSync(full);\n out(`${name} -> ${target}`);\n }\n return;\n }\n\n // Require --target\n if (!opts.target) {\n err('install-skills: --target required');\n process.exit(2);\n }\n if (opts.target !== 'claude-code') {\n err(`target '${opts.target}' not supported; only 'claude-code' is available`);\n process.exit(2);\n }\n\n mkdirSync(skillsDest, { recursive: true });\n\n const skillsSrc = join(lorekitRoot(), 'skills');\n if (!existsSync(skillsSrc)) {\n err(`skills directory not found: ${skillsSrc}`);\n process.exit(1);\n }\n\n // Find wiki-* skill directories\n const allNames = readdirSync(skillsSrc, { encoding: 'utf-8' });\n const skillNames = allNames.filter((name) => {\n if (!name.startsWith('wiki-')) return false;\n try {\n return lstatSync(join(skillsSrc, name)).isDirectory();\n } catch {\n return false;\n }\n });\n\n let count = 0;\n for (const name of skillNames) {\n const srcDir = join(skillsSrc, name);\n const skillFile = join(srcDir, 'SKILL.md');\n if (!existsSync(skillFile)) continue;\n\n const dest = join(skillsDest, name);\n\n if (opts.uninstall) {\n if (isSymlink(dest)) {\n unlinkSync(dest);\n ok(`removed ${name}`);\n count++;\n }\n } else {\n // Remove existing symlink if present\n if (isSymlink(dest)) unlinkSync(dest);\n\n symlinkSync(srcDir, dest);\n ok(`linked ${name}`);\n count++;\n }\n }\n\n if (count === 0) {\n print('No skills found to install.');\n } else if (!opts.uninstall) {\n print(`\\nInstalled ${count} skill(s). Restart Claude Code to load them.`);\n }\n });\n}\n","import type { Command } from 'commander';\nimport {\n existsSync,\n mkdirSync,\n writeFileSync,\n unlinkSync,\n readdirSync,\n statSync,\n} from 'node:fs';\nimport { join, relative } from 'node:path';\nimport * as tar from 'tar';\nimport { ok, bad, err } from '../utils/logger.js';\nimport { requireCorpus } from '../lib/corpus.js';\nimport { snapshotExcludeNames } from '../lib/paths.js';\nimport { tsCompact } from '../lib/date.js';\nimport { sha256 } from '../utils/fs.js';\n\ninterface ManifestEntry {\n path: string;\n sha256: string;\n bytes: number;\n mtime: string;\n}\n\nfunction collectAllFiles(dir: string, base: string): string[] {\n const results: string[] = [];\n\n function walk(d: string) {\n for (const entry of readdirSync(d, { withFileTypes: true })) {\n if (snapshotExcludeNames.has(entry.name)) continue;\n const full = join(d, entry.name);\n if (entry.isDirectory()) {\n walk(full);\n } else {\n results.push(relative(base, full));\n }\n }\n }\n\n walk(dir);\n return results.sort();\n}\n\nexport async function createSnapshot(corpus: string, opts: { tag?: string } = {}): Promise {\n const snapshotsDir = join(corpus, '.wiki', 'snapshots');\n mkdirSync(snapshotsDir, { recursive: true });\n\n // Collect files\n const files = collectAllFiles(corpus, corpus);\n if (files.length === 0) {\n throw new Error('no files found in corpus');\n }\n\n // Build manifest\n const manifest: ManifestEntry[] = files.map((relPath) => {\n const full = join(corpus, relPath);\n const st = statSync(full);\n return {\n path: relPath,\n sha256: sha256(full),\n bytes: st.size,\n mtime: st.mtime.toISOString(),\n };\n });\n\n // Write temporary manifest into snapshots dir\n const manifestPath = join(snapshotsDir, 'manifest.json');\n writeFileSync(manifestPath, JSON.stringify(manifest, null, 2) + '\\n');\n\n try {\n // Build filename: YYYYMMDD-HHMMSS[-tag].tar.gz\n const tag = opts.tag ? `-${opts.tag}` : '';\n const tarName = `${tsCompact()}${tag}.tar.gz`;\n const tarPath = join(snapshotsDir, tarName);\n\n // Create tarball\n // Include all corpus files + the manifest\n const allEntries = [...files, relative(corpus, manifestPath)];\n\n await tar.create(\n {\n gzip: true,\n file: tarPath,\n cwd: corpus,\n prefix: '',\n },\n allEntries,\n );\n\n return tarPath;\n } finally {\n // LEGACY P4-2：tar.create 若抛错，manifest 原先会残留在 .wiki/snapshots/；\n // 放 finally 保证无论成功 / 失败都清掉。\n if (existsSync(manifestPath)) unlinkSync(manifestPath);\n }\n}\n\nexport function snapshotCommand(program: Command) {\n program\n .command('snapshot')\n .option('--tag ', 'optional tag appended to filename')\n .description('create a tarball snapshot of the corpus')\n .action(async (opts: { tag?: string }) => {\n const corpus = requireCorpus();\n try {\n const tarPath = await createSnapshot(corpus, opts);\n const tarStat = statSync(tarPath);\n const sizeMB = (tarStat.size / 1024 / 1024).toFixed(1);\n const count = collectAllFiles(corpus, corpus).length;\n ok(`snapshot saved: ${tarPath} (${count} files, ${sizeMB} MB)`);\n } catch (e) {\n const message = (e as Error).message;\n if (message === 'no files found in corpus') {\n bad(message);\n } else {\n err(message);\n process.exitCode = 1;\n }\n return;\n }\n });\n}\n","import type { Command } from 'commander';\nimport { existsSync, mkdirSync, readFileSync, copyFileSync, rmSync } from 'node:fs';\nimport { join, dirname, relative } from 'node:path';\nimport { createInterface } from 'node:readline';\nimport { tmpdir } from 'node:os';\nimport * as tar from 'tar';\nimport chalk from 'chalk';\nimport { ok, bad, err, warn, print } from '../utils/logger.js';\nimport { requireCorpus } from '../lib/corpus.js';\nimport { sha256 } from '../utils/fs.js';\n\ninterface ManifestEntry {\n path: string;\n sha256: string;\n bytes: number;\n mtime: string;\n}\n\ntype DiffKind = 'MISSING' | 'CHANGED';\n\ninterface DiffEntry {\n kind: DiffKind;\n path: string;\n snapshotSha: string;\n currentSha: string | null;\n}\n\nfunction ask(question: string): Promise {\n const rl = createInterface({ input: process.stdin, output: process.stdout });\n return new Promise((resolve) => {\n rl.question(question, (answer) => {\n rl.close();\n resolve(answer.trim());\n });\n });\n}\n\n/**\n * 仅限 os.tmpdir() 子目录，不许扩展到任何用户数据路径。\n *\n * LEGACY P4-3 / 先生全局 CLAUDE.md 数据安全红线：lorekit 源码里的任何\n * `rm -rf` 等价操作都必须锁定在 tmpdir 下。本函数的唯一调用方 restore\n * action 中，`tmpDir` 由 `join(tmpdir(), 'lorekit-restore-' + Date.now())`\n * 构造——禁止把 user corpus 路径传进来。\n */\nfunction rmDirRecursive(dir: string) {\n rmSync(dir, { recursive: true, force: true });\n}\n\nexport function restoreCommand(program: Command) {\n program\n .command('restore')\n .requiredOption('--from ', 'path to snapshot .tar.gz')\n .option('--dry-run', 'only list differences, do not restore')\n .option('--file ', 'restore only this specific file')\n .description('restore files from a snapshot')\n .action(async (opts: { from: string; dryRun?: boolean; file?: string }) => {\n const corpus = requireCorpus();\n\n if (!existsSync(opts.from)) {\n bad(`snapshot not found: ${opts.from}`);\n // CONVENTIONS #4：用户提供的 --from 路径不存在 → 参数错 → exit 2\n process.exitCode = 2;\n return;\n }\n\n // Extract to temp dir\n const tmpDir = join(tmpdir(), `lorekit-restore-${Date.now()}`);\n mkdirSync(tmpDir, { recursive: true });\n\n try {\n await tar.extract({\n file: opts.from,\n cwd: tmpDir,\n });\n\n // Read manifest\n const manifestPath = join(tmpDir, '.wiki', 'snapshots', 'manifest.json');\n if (!existsSync(manifestPath)) {\n bad('manifest.json not found in snapshot');\n process.exitCode = 1;\n return;\n }\n\n const manifest: ManifestEntry[] = JSON.parse(readFileSync(manifestPath, 'utf-8'));\n\n // Compute diffs\n const diffs: DiffEntry[] = [];\n\n for (const entry of manifest) {\n // Skip if --file is specified and doesn't match\n if (opts.file && entry.path !== opts.file) continue;\n\n const corpusPath = join(corpus, entry.path);\n if (!existsSync(corpusPath)) {\n diffs.push({\n kind: 'MISSING',\n path: entry.path,\n snapshotSha: entry.sha256,\n currentSha: null,\n });\n } else {\n const currentSha = sha256(corpusPath);\n if (currentSha !== entry.sha256) {\n diffs.push({\n kind: 'CHANGED',\n path: entry.path,\n snapshotSha: entry.sha256,\n currentSha,\n });\n }\n }\n }\n\n if (diffs.length === 0) {\n ok('corpus matches snapshot — nothing to restore');\n return;\n }\n\n // Display diffs\n const missing = diffs.filter((d) => d.kind === 'MISSING');\n const changed = diffs.filter((d) => d.kind === 'CHANGED');\n\n if (missing.length > 0) {\n print(chalk.yellow(`\\n MISSING (${missing.length}):`));\n for (const d of missing) {\n print(` + ${d.path}`);\n }\n }\n if (changed.length > 0) {\n print(chalk.cyan(`\\n CHANGED (${changed.length}):`));\n for (const d of changed) {\n print(` ~ ${d.path}`);\n }\n }\n print();\n\n if (opts.dryRun) {\n warn(`dry-run: ${diffs.length} file(s) would be restored`);\n return;\n }\n\n // Confirm\n const answer = await ask(` restore ${diffs.length} file(s)? [y/N] `);\n if (answer.toLowerCase() !== 'y') {\n bad('cancelled');\n return;\n }\n\n // Copy files from tmpDir to corpus\n let restored = 0;\n for (const d of diffs) {\n const src = join(tmpDir, d.path);\n const dest = join(corpus, d.path);\n if (!existsSync(src)) {\n warn(`file not in snapshot archive: ${d.path}`);\n continue;\n }\n mkdirSync(dirname(dest), { recursive: true });\n copyFileSync(src, dest);\n restored++;\n }\n\n ok(`restored ${restored} file(s) from snapshot`);\n } finally {\n // Clean up temp dir\n rmDirRecursive(tmpDir);\n }\n });\n}\n","import type { Command } from 'commander';\nimport { readFileSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport { spawnSync } from 'node:child_process';\nimport { ok, bad, warn, out } from '../utils/logger.js';\nimport { requireCorpus, collectMdFiles } from '../lib/corpus.js';\n\ninterface SearchResult {\n file: string;\n line: number;\n text: string;\n}\n\nfunction searchWithRipgrep(\n query: string,\n corpus: string,\n opts: { type?: string; dir?: string },\n): SearchResult[] {\n const searchDir = opts.dir ? join(corpus, opts.dir) : corpus;\n const args: string[] = ['--json', '--no-heading', '-i'];\n\n if (opts.type) {\n args.push('--type', opts.type);\n }\n\n // Exclude internal dirs\n args.push('--glob', '!.wiki/**', '--glob', '!.git/**');\n args.push(query, searchDir);\n\n const result = spawnSync('rg', args, {\n encoding: 'utf-8',\n maxBuffer: 10 * 1024 * 1024,\n });\n\n if (result.error) {\n // rg not found\n return [];\n }\n\n const results: SearchResult[] = [];\n for (const line of (result.stdout || '').split('\\n')) {\n if (!line.trim()) continue;\n try {\n const obj = JSON.parse(line);\n if (obj.type === 'match') {\n results.push({\n file: relative(corpus, obj.data.path.text),\n line: obj.data.line_number,\n text: obj.data.lines.text.trimEnd(),\n });\n }\n } catch {\n // skip malformed lines\n }\n }\n return results;\n}\n\nfunction searchFallback(query: string, corpus: string, opts: { dir?: string }): SearchResult[] {\n const searchDir = opts.dir ? join(corpus, opts.dir) : corpus;\n const files = collectMdFiles(searchDir);\n const pattern = new RegExp(query, 'i');\n const results: SearchResult[] = [];\n\n for (const filePath of files) {\n const content = readFileSync(filePath, 'utf-8');\n const lines = content.split('\\n');\n for (let i = 0; i < lines.length; i++) {\n if (pattern.test(lines[i])) {\n results.push({\n file: relative(corpus, filePath),\n line: i + 1,\n text: lines[i].trimEnd(),\n });\n }\n }\n }\n return results;\n}\n\nfunction hasRipgrep(): boolean {\n const result = spawnSync('rg', ['--version'], { encoding: 'utf-8' });\n return !result.error && result.status === 0;\n}\n\nexport function searchCommand(program: Command) {\n program\n .command('search')\n .argument('', 'search query (regex supported)')\n .option('--type ', 'file type filter (passed to rg --type)')\n .option('--dir ', 'subdirectory within corpus to search')\n .description('search the corpus with ripgrep (fallback: built-in)')\n .action((query: string, opts: { type?: string; dir?: string }) => {\n const corpus = requireCorpus();\n\n let results: SearchResult[];\n\n if (hasRipgrep()) {\n results = searchWithRipgrep(query, corpus, opts);\n } else {\n warn('rg (ripgrep) not found, using built-in fallback');\n results = searchFallback(query, corpus, { dir: opts.dir });\n }\n\n // TODO Phase 3: if .wiki/vector.sqlite exists, also run vector similarity\n // search and merge results with text search hits.\n\n // Output JSON lines\n for (const r of results) {\n out(JSON.stringify(r));\n }\n\n if (results.length === 0) {\n warn('no results');\n }\n });\n}\n","import type { Command } from 'commander';\nimport { createHash } from 'node:crypto';\nimport { existsSync, readFileSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport { ok, warn, err, out, print } from '../utils/logger.js';\nimport { requireCorpus } from '../lib/corpus.js';\nimport { pruneMissingDocuments } from '../lib/vectordb/prune.js';\n\nexport interface VectorSyncOptions {\n force?: boolean;\n layered?: boolean;\n model?: string;\n}\n\nexport interface VectorSyncResult {\n synced: number;\n skipped: number;\n totalChunks: number;\n layered: boolean;\n pruned: number;\n}\n\n/**\n * 程序内复用入口：增量同步向量库。\n * - 每个 .md 文件用 sha256 对比跳过未变更\n * - --force 全量重嵌入\n * - --layered 额外刷 L0/L1（默认 true——lorekit sync 需要）\n */\nexport async function runVectorSync(\n corpus: string,\n opts: VectorSyncOptions = {},\n): Promise {\n const force = opts.force ?? false;\n const layered = opts.layered ?? true;\n const model = opts.model ?? 'bge-m3';\n\n const { embed, embedSingle } = await import('../lib/ollama.js');\n const { openDb, syncFile, buildLayeredIndex, collectFiles } = await import('../lib/vectordb/index.js');\n\n const testEmb = await embedSingle('test', model);\n const dim = testEmb.length;\n\n const db = await openDb(corpus, dim);\n const files = collectFiles(corpus);\n const existingRelPaths = new Set(files.map((filePath) => relative(corpus, filePath)));\n const pruned = pruneMissingDocuments(db, existingRelPaths);\n if (pruned > 0) warn(`vector sync pruned ${pruned} missing file(s)`);\n\n let synced = 0;\n let skipped = 0;\n let totalChunks = 0;\n\n for (const filePath of files) {\n // LEGACY P4-5：原先 `filePath.replace(corpus + '/', '')` 字符串替换，\n // 若 corpus 路径在 filePath 内出现多次（罕见）会替换错位；用 path.relative 更稳。\n const rel = relative(corpus, filePath);\n\n if (!force) {\n const row = db.prepare('SELECT sha256 FROM documents WHERE path = ?').get(rel) as\n | { sha256: string }\n | undefined;\n if (row) {\n const sha = createHash('sha256').update(readFileSync(filePath)).digest('hex');\n if (row.sha256 === sha) {\n skipped++;\n continue;\n }\n }\n }\n\n const embedFn = (texts: string[]) => embed(texts, model);\n const result = await syncFile(db, filePath, corpus, embedFn);\n totalChunks += result.chunks;\n synced++;\n }\n\n const now = new Date().toISOString();\n db.prepare(\"INSERT OR REPLACE INTO meta (key, value) VALUES ('last_sync', ?)\").run(now);\n db.prepare(\"INSERT OR REPLACE INTO meta (key, value) VALUES ('model', ?)\").run(model);\n db.prepare(\"INSERT OR REPLACE INTO meta (key, value) VALUES ('dim', ?)\").run(String(dim));\n\n if (layered || force) {\n print('Building layered index (L0/L1)...');\n const embedBatch = (texts: string[]) => embed(texts, model);\n await buildLayeredIndex(db, corpus, embedBatch);\n }\n\n db.close();\n\n return { synced, skipped, totalChunks, layered: layered || force, pruned };\n}\n\nexport function vectorCommand(program: Command) {\n const vec = program\n .command('vector')\n .description('vector search engine — embed & search via ollama + sqlite-vec');\n\n // --- sync ---\n vec\n .command('sync')\n .option('--force', 'full rebuild (re-embed all files)', false)\n .option('--layered', 'build L0/L1 layered index', false)\n .option('--model ', 'ollama model name', 'bge-m3')\n .description('index corpus into vector DB')\n .action(async (opts: { force: boolean; layered: boolean; model: string }) => {\n const corpus = requireCorpus();\n const r = await runVectorSync(corpus, opts);\n ok(`synced ${r.synced} files (${r.totalChunks} chunks), skipped ${r.skipped} unchanged`);\n });\n\n // --- query ---\n vec\n .command('query')\n .requiredOption('--text ', 'search query text')\n .option('--top-k ', 'number of results', '5')\n .option('--threshold ', 'minimum similarity score', '0.5')\n .option('--layered', 'use L0→L1→L2 layered vector retrieval', false)\n .option('--hybrid', 'BM25 + vector layered + RRF fusion (阶段 2 推荐，无 re-rank)', false)\n .option('--bm25', 'BM25 layered only (FTS5, 用于 debug BM25 单路)', false)\n .option('--model ', 'ollama model name', 'bge-m3')\n .description('search the vector/FTS index')\n .action(\n async (opts: {\n text: string;\n topK: string;\n threshold: string;\n layered: boolean;\n hybrid: boolean;\n bm25: boolean;\n model: string;\n }) => {\n const corpus = requireCorpus();\n const topK = parseInt(opts.topK, 10);\n const threshold = parseFloat(opts.threshold);\n\n // CONVENTIONS #4：参数解析失败 → exit 2\n if (!Number.isFinite(topK) || topK <= 0) {\n err(`--top-k must be a positive integer, got: \"${opts.topK}\"`);\n process.exit(2);\n }\n if (!Number.isFinite(threshold) || threshold < 0 || threshold > 1) {\n err(`--threshold must be a number in [0, 1], got: \"${opts.threshold}\"`);\n process.exit(2);\n }\n\n const { embedSingle } = await import('../lib/ollama.js');\n const { openDb, queryFlat, queryLayered, queryBM25Layered, queryHybrid } =\n await import('../lib/vectordb/index.js');\n\n // Probe dim from existing db or model\n let dim = 1024;\n const dbPath = join(corpus, '.wiki', 'vector.sqlite');\n if (existsSync(dbPath)) {\n const tmpDb = await openDb(corpus);\n const row = tmpDb.prepare(\"SELECT value FROM meta WHERE key = 'dim'\").get() as\n | { value: string }\n | undefined;\n if (row) dim = parseInt(row.value, 10);\n tmpDb.close();\n }\n\n const db = await openDb(corpus, dim);\n\n let results;\n if (opts.bm25) {\n // BM25 单路（不需要 embedding，快）\n results = queryBM25Layered(db, opts.text, topK);\n } else if (opts.hybrid) {\n const embedding = await embedSingle(opts.text, opts.model);\n results = queryHybrid(db, embedding, opts.text, topK, threshold);\n } else {\n const embedding = await embedSingle(opts.text, opts.model);\n results = opts.layered\n ? queryLayered(db, embedding, topK, threshold)\n : queryFlat(db, embedding, topK, threshold);\n }\n\n db.close();\n out(JSON.stringify(results, null, 2));\n },\n );\n\n // --- status ---\n vec\n .command('status')\n .description('show vector index status')\n .action(async () => {\n const corpus = requireCorpus();\n const { getStatus } = await import('../lib/vectordb/index.js');\n const info = await getStatus(corpus);\n out(JSON.stringify(info, null, 2));\n });\n}\n","import { relative } from 'node:path';\nimport { collectFiles } from './files.js';\nimport { openDb, type Db } from './schema.js';\n\nexport function pruneMissingDocuments(db: Db, existingRelPaths: Set): number {\n const rows = db.prepare('SELECT id, path FROM documents').all() as { id: number; path: string }[];\n const missing = rows.filter((row) => !existingRelPaths.has(row.path));\n if (missing.length === 0) return 0;\n\n const delVecChunk = db.prepare('DELETE FROM vec_chunks WHERE rowid = ?');\n const delFtsChunk = db.prepare('DELETE FROM fts_chunks WHERE rowid = ?');\n const delVecPage = db.prepare('DELETE FROM vec_pages WHERE rowid = ?');\n const delFtsPage = db.prepare('DELETE FROM fts_pages WHERE rowid = ?');\n const getChunkIds = db.prepare('SELECT id FROM chunks WHERE doc_id = ?');\n const getPageIds = db.prepare('SELECT id FROM page_summaries WHERE doc_id = ?');\n const deleteChunks = db.prepare('DELETE FROM chunks WHERE doc_id = ?');\n const deletePages = db.prepare('DELETE FROM page_summaries WHERE doc_id = ?');\n const deleteDoc = db.prepare('DELETE FROM documents WHERE id = ?');\n\n const tx = db.transaction((docs: typeof missing) => {\n for (const doc of docs) {\n const chunkIds = getChunkIds.all(doc.id) as { id: number }[];\n for (const { id } of chunkIds) {\n delVecChunk.run(id);\n delFtsChunk.run(id);\n }\n deleteChunks.run(doc.id);\n\n const pageIds = getPageIds.all(doc.id) as { id: number }[];\n for (const { id } of pageIds) {\n delVecPage.run(id);\n delFtsPage.run(id);\n }\n deletePages.run(doc.id);\n deleteDoc.run(doc.id);\n }\n });\n tx(missing);\n return missing.length;\n}\n\nexport async function pruneVectorDbMissingFiles(corpus: string): Promise {\n const db = await openDb(corpus);\n try {\n const files = collectFiles(corpus);\n const existingRelPaths = new Set(files.map((filePath) => relative(corpus, filePath)));\n return pruneMissingDocuments(db, existingRelPaths);\n } finally {\n db.close();\n }\n}\n","import type { Command } from 'commander';\nimport { existsSync, mkdirSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport { findCorpus, findSourceByUrl, extractFrontmatter } from '../lib/corpus.js';\nimport { fetchUrl, fetchGist, fetchGithubDoc } from '../lib/fetcher/index.js';\nimport type { FetchResult } from '../lib/fetcher/index.js';\nimport { getIngestRecord, upsertIngestRecord, nextStepHint } from '../lib/ingest-state.js';\n\n// ---------------------------------------------------------------------------\n// URL routing helpers\n// ---------------------------------------------------------------------------\n\nfunction suggestResult(route: string, url: string, suggest: string): FetchResult {\n return { status: 'unsupported', route, url, suggest };\n}\n\nfunction getHost(url: string): string {\n try {\n return new URL(url).hostname.toLowerCase();\n } catch {\n return '';\n }\n}\n\nfunction isPdfUrl(url: string): boolean {\n try {\n const path = new URL(url).pathname.toLowerCase();\n return path.endsWith('.pdf');\n } catch {\n return false;\n }\n}\n\n// ---------------------------------------------------------------------------\n// Command\n// ---------------------------------------------------------------------------\n\nexport function fetchCommand(program: Command) {\n program\n .command('fetch')\n .argument('', 'URL to fetch')\n .option('--out ', 'output directory')\n .option('--force-rich', 'skip host routing, always use rich fetcher')\n .option('--no-images', 'skip image downloads')\n .option('--force', 'ignore duplicate-URL check and re-fetch anyway')\n .description('Fetch a URL into local markdown + images')\n .action(\n async (\n url: string,\n opts: { out?: string; forceRich?: boolean; images?: boolean; force?: boolean },\n ) => {\n // Resolve output root\n const corpus = findCorpus();\n let outRoot: string;\n if (opts.out) {\n outRoot = opts.out;\n } else {\n outRoot = corpus ? join(corpus, '_工作台', '收件', 'fetch') : '/tmp/lorekit-fetch';\n }\n if (!existsSync(outRoot)) {\n mkdirSync(outRoot, { recursive: true });\n }\n\n // Duplicate / resume detection: consult ingest-state.json first,\n // fall back to scanning 原料/*/*/article.md frontmatter for legacy ingests\n // without a state record.\n let duplicate: FetchResult['duplicate'] | undefined;\n if (corpus && !opts.force) {\n const state = getIngestRecord(corpus, url);\n\n if (state && state.status !== 'completed') {\n // Interrupted ingest — surface resume hint, do not re-fetch\n const hint = nextStepHint(state);\n console.error(\n `[lorekit fetch] in-progress ingest detected for ${url}\\n` +\n ` status: ${state.status} steps done: ${state.stepsDone.join(', ') || '(none)'}\\n` +\n ` started: ${state.startedAt}\\n` +\n ` next step → ${hint}\\n` +\n ` use --force to restart from scratch`,\n );\n console.log(\n JSON.stringify({\n status: 'in_progress',\n route: 'rich',\n url,\n ingestState: state,\n nextStep: hint,\n }),\n );\n return;\n }\n\n if (state && state.status === 'completed') {\n duplicate = {\n path: state.archivedTo ?? '(unknown)',\n sourceDate: state.sourceDate,\n title: state.title,\n };\n } else {\n // No state record — fall back to frontmatter scan\n const existing = findSourceByUrl(corpus, url);\n if (existing) {\n const fm = extractFrontmatter(existing);\n const sdRaw = fm.source_date;\n const sourceDate =\n typeof sdRaw === 'string'\n ? sdRaw\n : sdRaw instanceof Date\n ? sdRaw.toISOString().slice(0, 10)\n : undefined;\n duplicate = {\n path: relative(corpus, existing),\n sourceDate,\n title: typeof fm.title === 'string' ? fm.title : undefined,\n };\n }\n }\n\n if (duplicate) {\n console.error(\n `[lorekit fetch] duplicate url: ${url} already ingested at ${duplicate.path}` +\n (duplicate.sourceDate ? ` (source_date: ${duplicate.sourceDate})` : '') +\n `. Use --force to re-fetch anyway.`,\n );\n console.log(JSON.stringify({ status: 'duplicate', route: 'rich', url, duplicate }));\n return;\n }\n }\n\n // Route by host (unless --force-rich)\n const noImages = opts.images === false;\n let result: FetchResult;\n\n if (opts.forceRich) {\n result = await fetchUrl(url, { outRoot, noImages });\n } else {\n const host = getHost(url);\n\n if (host.includes('mp.weixin.qq.com')) {\n result = await fetchUrl(url, { outRoot, noImages });\n } else if (host.includes('feishu.cn') || host.includes('larkoffice.com')) {\n result = suggestResult('lark', url, 'lark-cli docs +read --as user --doc ');\n } else if (\n host === 'x.com' ||\n host === 'twitter.com' ||\n host.endsWith('.x.com') ||\n host.endsWith('.twitter.com')\n ) {\n result = suggestResult('x', url, 'paste screenshot or text (antibot too strong)');\n } else if (host === 'gist.github.com' || host === 'gist.githubusercontent.com') {\n result = await fetchGist(url, outRoot);\n } else if (host === 'github.com' || host === 'www.github.com') {\n result = await fetchGithubDoc(url, outRoot);\n } else if (isPdfUrl(url)) {\n result = suggestResult('pdf', url, 'pdf skill');\n } else {\n // Generic site\n result = await fetchUrl(url, { outRoot, noImages });\n }\n }\n\n // On successful fetch into a corpus, record state so subsequent runs\n // see this as an in-progress ingest until the agent marks it completed.\n if (corpus && result.status === 'ok' && result.markdown) {\n upsertIngestRecord(corpus, url, {\n title: result.title,\n sourceDate: result.publishDate,\n status: 'started',\n stepsDone: ['fetch'],\n workbenchMd: result.markdown,\n });\n }\n\n // Output single-line JSON\n console.log(JSON.stringify(result));\n\n // Exit with non-zero on error\n if (result.status === 'error') {\n process.exitCode = 1;\n }\n },\n );\n}\n","/**\n * fetcher/index.ts — fetcher 子模块对外主入口（barrel + fetchUrl 主流程）\n *\n * 批次 21g-pre strangler fig 第七步：建主入口模块。本文件含：\n * - `fetchUrl`：从 src/lib/fetcher.ts:493-606 copy，dispatcher 模式根据 site\n * 选 routes/web 或 routes/weixin 的 parser。frontmatter 拼装替换为 21b\n * buildFrontmatter（routeKind = 'article' | 'clipping'）\n * - `fetchGist` / `fetchGithubDoc`：从 routes 直接 re-export\n * - `FetchResult` / `FetchOptions`：从 types.ts 直接 re-export（type-only）\n *\n * **不 re-export** parser / helpers / http / images / frontmatter —— 这些是\n * fetcher 子模块内部实现细节，对外 surface 只有 4 个公开 API。\n *\n * 21g-pre 阶段：本文件目前未被任何调用方 import；commands/fetch.ts 仍 import\n * 旧 src/lib/fetcher.ts。21g-final 才切换 + 删旧。\n *\n * **Strangler fig 双份代码状态**：\n * - 旧 src/lib/fetcher.ts 的 fetchUrl / fetchGist / fetchGithubDoc 完整保留\n * - 新 src/lib/fetcher/index.ts 的 fetchUrl 与旧版 byte 等价（21g-pre parity 验证）\n * - 21g-final commit 一旦完成切换 + 删旧，本文件就成为 SSOT\n */\nimport { mkdir, writeFile } from 'node:fs/promises';\nimport { join } from 'node:path';\n\nimport { buildFrontmatter } from './frontmatter.js';\nimport { htmlToMarkdown, slugify, todayYMD } from './helpers.js';\nimport {\n buildHeaders,\n detectAntibot,\n detectSite,\n fetchHtmlL1,\n fetchHtmlL2,\n} from './http.js';\nimport { downloadImages, rewriteMarkdownImages } from './images.js';\nimport { parseGeneric } from './routes/web.js';\nimport { parseWeixin } from './routes/weixin.js';\nimport type { FetchOptions, FetchResult } from './types.js';\n\n// ---------------------------------------------------------------------------\n// fetchUrl 主入口（dispatcher）\n// ---------------------------------------------------------------------------\n\n/**\n * 主入口：URL → 本地 markdown + 图片。\n *\n * Pipeline：\n * 1. detectSite 选 weixin / generic 的 headers / parser\n * 2. L1 fetch；命中 antibot 关键字 → 清空 html\n * 3. L1 失败或被拦 → L2 playwright fallback；仍失败 → 报 ANTIBOT_BLOCKED\n * 4. site 选 parseWeixin / parseGeneric\n * 5. body 太短报 empty_body\n * 6. htmlToMarkdown → 写文件（含 21b buildFrontmatter）+ 下载图 + 改写图链\n *\n * 与旧 fetcher.ts:493-606 byte 等价（21g-pre parity 验证 generic + weixin 各一例）。\n */\nexport async function fetchUrl(url: string, opts: FetchOptions): Promise {\n const site = detectSite(url);\n const headers = buildHeaders(site);\n let sourceLayer = 'L1';\n let html = '';\n\n // --- L1 fetch ---\n try {\n html = await fetchHtmlL1(url, headers);\n if (detectAntibot(html, site)) {\n html = '';\n }\n } catch {\n // L1 失败（HTTP 非 2xx / abort / 网络错误）→ 退 L2 fallback\n html = '';\n }\n\n // --- L2 fallback ---\n if (!html) {\n sourceLayer = 'L2';\n const l2html = await fetchHtmlL2(url);\n if (!l2html) {\n return {\n status: 'error',\n route: 'rich',\n url,\n reason: 'ANTIBOT_BLOCKED',\n suggest: 'Install playwright-core + chromium, or paste content manually',\n };\n }\n html = l2html;\n if (detectAntibot(html, site)) {\n return {\n status: 'error',\n route: 'rich',\n url,\n reason: 'ANTIBOT_BLOCKED',\n suggest: 'Site requires login or manual intervention',\n };\n }\n }\n\n // --- Parse ---\n const doc = site === 'weixin' ? parseWeixin(html, url) : parseGeneric(html, url);\n\n if (!doc.bodyHtml || doc.bodyHtml.replace(/<[^>]*>/g, '').trim().length < 50) {\n return {\n status: 'error',\n route: 'rich',\n url,\n reason: 'empty_body',\n };\n }\n\n // --- Convert to markdown ---\n let md = htmlToMarkdown(doc.bodyHtml);\n\n // --- Output paths (Obsidian-compatible flat layout) ---\n // /.md\n // /.assets/img_01.jpg\n const slug = slugify(doc.title || 'untitled');\n const assetsDir = join(opts.outRoot, `${slug}.assets`);\n await mkdir(opts.outRoot, { recursive: true });\n\n // --- Download images ---\n let imagesOk = 0;\n let imagesFailed = 0;\n if (!opts.noImages && doc.imgSrcs.length > 0) {\n const imgResults = await downloadImages(doc.imgSrcs, assetsDir, headers, `./${slug}.assets/`);\n md = rewriteMarkdownImages(md, imgResults);\n for (const r of imgResults) {\n if (r.status === 'ok') imagesOk++;\n else imagesFailed++;\n }\n }\n\n // --- Build frontmatter + write article.md ---\n // Follows templates/default-corpus/系统/frontmatter-spec.md\n // 21b buildFrontmatter（routeKind 二元）替换原 inline fmLines 拼装；title/\n // author 在 generic/weixin 路由都是条件输出（21b 已用 generic-full /\n // weixin-no-author-no-date / generic-no-title-no-author 三 case 验证 byte 等价）\n const sourceKind: 'article' | 'clipping' = site === 'weixin' ? 'clipping' : 'article';\n const today = todayYMD();\n const fmLines: string[] = [];\n fmLines.push(\n ...buildFrontmatter({\n routeKind: sourceKind,\n title: doc.title,\n today,\n url,\n author: doc.author,\n publishDate: doc.publishDate,\n }),\n );\n fmLines.push('');\n if (doc.title) fmLines.push(`# ${doc.title}`, '');\n fmLines.push(md, '');\n\n const articlePath = join(opts.outRoot, `${slug}.md`);\n await writeFile(articlePath, fmLines.join('\\n'), 'utf-8');\n\n return {\n status: 'ok',\n route: 'rich',\n url,\n title: doc.title || undefined,\n author: doc.author || undefined,\n publishDate: doc.publishDate,\n sourceKind,\n sourceLayer,\n slug,\n markdown: articlePath,\n assetsDir,\n imagesOk,\n imagesFailed,\n };\n}\n\n// ---------------------------------------------------------------------------\n// Public API re-exports\n// ---------------------------------------------------------------------------\n\nexport { fetchGist } from './routes/gist.js';\nexport { fetchGithubDoc } from './routes/github.js';\nexport type { FetchOptions, FetchResult } from './types.js';\n","/**\n * fetcher/frontmatter.ts — 4 路由共用的 frontmatter 拼装\n *\n * 批次 21b strangler fig 第二步：从 src/lib/fetcher.ts 抽出 frontmatter 生成逻辑。\n * 原 fetcher.ts 仍保留 3 处内嵌拼装代码（generic/weixin 共一处 + gist + github），\n * commands/*.ts 暂未切换，本文件目前未被使用，21f 才切换并删旧文件。\n *\n * ## 4 路由字段差异矩阵\n *\n * | 字段 | generic/weixin | gist | github |\n * | ----------------------------- | ----------------- | ------------- | ----------- |\n * | `type: source` | 总有 | 总有 | 总有 |\n * | `title: \"...\"` | **条件** if title | 总有 | 总有 |\n * | `created: ` | 总有 | 总有 | 总有 |\n * | `updated: ` | 总有 | 总有 | 总有 |\n * | `source_url: ` | 总有 | 总有 | 总有 |\n * | `source_author: \"...\"` | **条件** if 有 | 总有 | 总有 |\n * | `source_date: ` | 条件 if 有 | 条件 if 有 | **从不输出**|\n * | `source_kind: ` | article/clipping | 固定 gist | 固定 github |\n *\n * 字段顺序、引号风格、缺字段不输出的语义都按上表，与原 4 路由内嵌实现 byte-level 等价。\n *\n * ## byte-level 一致性验证（手动）\n *\n * 用 4 mock 输入分别比对 buildFrontmatter() 和原 fetcher.ts 的 fmLines 数组，\n * `JSON.stringify(actual) === JSON.stringify(expected)` 全部 pass，\n * 详见 `tmp/frontmatter-parity-check.mjs`（一次性脚本，跑完 21b 即可丢弃）。\n */\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\n/**\n * 4 路由的 sourceKind 取值。注意 weixin 写出来是 `clipping`（剪藏），\n * generic 是 `article`，gist / github 同名。\n */\nexport type RouteKind = 'article' | 'clipping' | 'gist' | 'github';\n\nexport interface BuildFrontmatterOpts {\n /** sourceKind，决定 `source_kind:` 字段值，也决定 title/author 必输出还是条件输出 */\n routeKind: RouteKind;\n /** 文章标题。generic/weixin 路由可空（不输出 title 行）；gist/github 路由必填 */\n title?: string;\n /** 创建/更新日期 `YYYY-MM-DD`，调用方传入（一般是 todayYMD()） */\n today: string;\n /** 抓取来源 URL */\n url: string;\n /** 作者。generic/weixin 路由可空（不输出 source_author 行）；gist/github 路由必填 */\n author?: string;\n /** 发布日期 `YYYY-MM-DD`。github 路由忽略此字段（永远不输出） */\n publishDate?: string;\n}\n\n// ---------------------------------------------------------------------------\n// Helpers\n// ---------------------------------------------------------------------------\n\n/**\n * YAML 双引号字符串内嵌双引号需 `\\\"` 转义。原 4 路由都用同一句 `replace(/\"/g, '\\\\\"')`。\n */\nfunction escapeDoubleQuote(s: string): string {\n return s.replace(/\"/g, '\\\\\"');\n}\n\n// ---------------------------------------------------------------------------\n// Public\n// ---------------------------------------------------------------------------\n\n/**\n * 生成 frontmatter YAML 块（含外层 `---` 起止符），返回行数组。\n *\n * 调用方拿到后用 `lines.push(...buildFrontmatter(opts))` 拼到文章 fmLines 里。\n * 拼接后的下一行通常是空行，再跟正文 `# title` 等。\n *\n * 不负责 slug / 写文件 / 正文 —— 仅 frontmatter 一段。\n *\n * 字段输出语义见文件头注释的差异矩阵。\n */\nexport function buildFrontmatter(opts: BuildFrontmatterOpts): string[] {\n const { routeKind, title, today, url, author, publishDate } = opts;\n const omitPublishDate = routeKind === 'github';\n\n const lines: string[] = ['---'];\n lines.push('type: source');\n\n // title / author 在 generic/weixin 是条件输出；在 gist/github 调用方\n // 必传非空字符串，分支同样命中。统一用 truthy 判定，与原 4 路由 `if (xxx)` 等价。\n if (title) {\n lines.push(`title: \"${escapeDoubleQuote(title)}\"`);\n }\n // slug 留空：fetcher 不知道最终归档位置（_工作台 vs 原料/剪藏 vs 原料/文章），\n // wiki-ingest 在 mv 时再补。语义同原代码注释。\n\n lines.push(`created: ${today}`);\n lines.push(`updated: ${today}`);\n lines.push(`source_url: ${url}`);\n\n if (author) {\n lines.push(`source_author: \"${escapeDoubleQuote(author)}\"`);\n }\n\n if (!omitPublishDate && publishDate) {\n lines.push(`source_date: ${publishDate}`);\n }\n\n lines.push(`source_kind: ${routeKind}`);\n lines.push('---');\n\n return lines;\n}\n","/**\n * fetcher/helpers.ts — 通用工具函数（slug / url / markdown / 日期）\n *\n * 批次 21a strangler fig 第一步：从 src/lib/fetcher.ts copy 出来作为旁路新模块。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换，本文件目前未被使用。\n *\n * self-contained：不 import fetcher 子目录下其他模块。\n */\nimport TurndownService from 'turndown';\n\n// ---------------------------------------------------------------------------\n// 字符串 / URL helper\n// ---------------------------------------------------------------------------\n\n/**\n * 把任意字符串裁成可作文件名的 slug：\n * 保留 word 字符（含中文），其他符号收敛成 `-`，限长 50；空串回退 `untitled`。\n */\nexport function slugify(s: string): string {\n let slug = s.replace(/[^\\w\\u4e00-\\u9fff-]+/g, '-').replace(/^-+|-+$/g, '');\n return slug.slice(0, 50) || 'untitled';\n}\n\n/**\n * 相对 URL 解析为绝对 URL；解析失败则原样返回，避免异常向上抛。\n */\nexport function resolveUrl(src: string, base: string): string {\n try {\n return new URL(src, base).href;\n } catch {\n // URL 构造失败说明输入已经是非法 URI（典型如 `data:` / 空字符串），\n // 维持原值让上游 caller 自己决定怎么处理。\n return src;\n }\n}\n\n// ---------------------------------------------------------------------------\n// HTML -> Markdown\n// ---------------------------------------------------------------------------\n\n/**\n * Turndown 包装：固定 ATX heading + fenced code 风格，trim 末尾空白。\n */\nexport function htmlToMarkdown(html: string): string {\n const td = new TurndownService({\n headingStyle: 'atx',\n codeBlockStyle: 'fenced',\n });\n return td.turndown(html).trim();\n}\n\n// ---------------------------------------------------------------------------\n// 日期 helper（Asia/Shanghai 视角）\n// ---------------------------------------------------------------------------\n\nconst SHANGHAI_TZ_OFFSET_MS = 8 * 60 * 60 * 1000;\n\n/**\n * 把 unix seconds 时间戳格式化为 `YYYY-MM-DD`（Asia/Shanghai）。\n */\nexport function tsToYMD(seconds: number): string {\n const d = new Date(seconds * 1000 + SHANGHAI_TZ_OFFSET_MS);\n return d.toISOString().slice(0, 10);\n}\n\n/**\n * 当前日期 `YYYY-MM-DD`（Asia/Shanghai）。\n *\n * 注意：批次 9 已建立 `src/lib/date.ts`，迁移到统一 helper 的工作留给批次 21\n * 后续子批一起做（见 LEGACY 批次 9 备注）。本批次仅 copy 保持行为一致。\n */\nexport function todayYMD(): string {\n const d = new Date(Date.now() + SHANGHAI_TZ_OFFSET_MS);\n return d.toISOString().slice(0, 10);\n}\n\n/**\n * 把人类常见格式的日期文本归一化为 `YYYY-MM-DD`。\n * 支持 ISO（`2026-04-15` / `2026/04/15` / 带 `T...`）和中文（`2026年4月15日`）。\n * 无法识别返回 undefined。\n */\nexport function normalizeDateText(raw: string): string | undefined {\n const s = raw.trim();\n if (!s) return undefined;\n // ISO-ish: 2026-04-15, 2026/04/15, 2026-04-15T10:00:00+08:00\n const iso = s.match(/(\\d{4})[-/.](\\d{1,2})[-/.](\\d{1,2})/);\n if (iso) {\n const [, y, m, d] = iso;\n return `${y}-${m.padStart(2, '0')}-${d.padStart(2, '0')}`;\n }\n // Chinese: 2026年4月15日\n const zh = s.match(/(\\d{4})\\s*年\\s*(\\d{1,2})\\s*月\\s*(\\d{1,2})\\s*日/);\n if (zh) {\n const [, y, m, d] = zh;\n return `${y}-${m.padStart(2, '0')}-${d.padStart(2, '0')}`;\n }\n return undefined;\n}\n","/**\n * fetcher/http.ts — 站点检测、请求头、antibot 探测、L1/L2 抓页\n *\n * 批次 21a strangler fig 第一步：从 src/lib/fetcher.ts copy 出来作为旁路新模块。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换，本文件目前未被使用。\n *\n * 依赖关系：本文件不 import fetcher/helpers.ts 或 fetcher/images.ts，self-contained。\n * `HTTP_TIMEOUT_MS` 同时被 fetcher/images.ts 引用（images→http 单向依赖）。\n */\n\n// ---------------------------------------------------------------------------\n// Constants\n// ---------------------------------------------------------------------------\n\nconst UA_IPHONE =\n 'Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) ' +\n 'AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 ' +\n 'Mobile/15E148 Safari/604.1';\n\nconst UA_DESKTOP =\n 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) ' +\n 'AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36';\n\n/**\n * L1 / L2 抓页超时（ms）。images.ts 下载图片时也复用此常量。\n */\nexport const HTTP_TIMEOUT_MS = 20_000;\n\nconst ANTIBOT_TRIGGERS = [\n '环境异常',\n '请在微信客户端打开',\n '完成验证后即可继续',\n 'Just a moment',\n 'cf-browser-verification',\n];\n\n// ---------------------------------------------------------------------------\n// Site detection / headers\n// ---------------------------------------------------------------------------\n\n/**\n * 简单 host 匹配：识别微信公众号文章，其他一律 'generic'。\n */\nexport function detectSite(url: string): 'weixin' | 'generic' {\n try {\n const host = new URL(url).hostname.toLowerCase();\n if (host.includes('mp.weixin.qq.com')) return 'weixin';\n } catch {\n /* ignore */\n }\n return 'generic';\n}\n\n/**\n * 按站点构造 fetch headers：微信公众号必须 iPhone UA + Referer 才返回正文。\n */\nexport function buildHeaders(site: string): Record {\n if (site === 'weixin') {\n return {\n 'User-Agent': UA_IPHONE,\n Referer: 'https://mp.weixin.qq.com/',\n 'Accept-Language': 'zh-CN,zh;q=0.9',\n Accept: 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',\n };\n }\n return {\n 'User-Agent': UA_DESKTOP,\n 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',\n Accept: 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',\n };\n}\n\n/**\n * 粗略判断返回 HTML 是否被反爬拦截。微信特别加了\"无 js_content 节点\"启发式。\n */\nexport function detectAntibot(html: string, site: string): boolean {\n if (ANTIBOT_TRIGGERS.some((t) => html.includes(t))) return true;\n if (site === 'weixin' && !html.includes('js_content')) return true;\n return false;\n}\n\n// ---------------------------------------------------------------------------\n// L1 fetch — native Node fetch\n// ---------------------------------------------------------------------------\n\n/**\n * 用 Node 内置 fetch 拉 HTML，超时由 HTTP_TIMEOUT_MS 控制。\n * 失败抛 Error（HTTP 非 2xx 或 abort），由调用方决定是否走 L2 fallback。\n */\nexport async function fetchHtmlL1(url: string, headers: Record): Promise {\n const controller = new AbortController();\n const timer = setTimeout(() => controller.abort(), HTTP_TIMEOUT_MS);\n try {\n const res = await fetch(url, {\n headers,\n redirect: 'follow',\n signal: controller.signal,\n });\n if (!res.ok) throw new Error(`HTTP ${res.status}`);\n return await res.text();\n } finally {\n clearTimeout(timer);\n }\n}\n\n// ---------------------------------------------------------------------------\n// L2 fetch — optional playwright-core\n// ---------------------------------------------------------------------------\n\n/**\n * playwright-core fallback。可选依赖，缺了或 chromium 没装就返回 null，\n * 由调用方汇报 ANTIBOT_BLOCKED。\n */\nexport async function fetchHtmlL2(url: string): Promise {\n try {\n // Dynamic import — playwright-core is optional\n // @ts-ignore — playwright-core may not be installed\n const pw = await import('playwright-core');\n const browser = await pw.chromium.launch({ headless: true });\n try {\n const page = await browser.newPage();\n await page.goto(url, { waitUntil: 'networkidle', timeout: 60_000 });\n return await page.content();\n } finally {\n await browser.close();\n }\n } catch {\n // playwright-core not installed or chromium not available\n return null;\n }\n}\n","/**\n * fetcher/images.ts — 图片下载、magic byte 嗅探、markdown 链接重写\n *\n * 批次 21a strangler fig 第一步：从 src/lib/fetcher.ts copy 出来作为旁路新模块。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换，本文件目前未被使用。\n *\n * 依赖关系：仅 import fetcher/http.ts 的 HTTP_TIMEOUT_MS，不依赖 helpers.ts。\n */\nimport { mkdir, writeFile } from 'node:fs/promises';\nimport { join } from 'node:path';\n\nimport { HTTP_TIMEOUT_MS } from './http.js';\n\n// ---------------------------------------------------------------------------\n// Constants\n// ---------------------------------------------------------------------------\n\nconst MAX_IMG_BYTES = 5 * 1024 * 1024;\nconst IMG_CONCURRENCY = 5;\n\n// 常见图片格式的 magic bytes — 优先靠字节签名判断扩展名，\n// 其次才落回 Content-Type（远端 MIME 经常乱报）。\nconst MAGIC: Array<[Uint8Array | number[], string]> = [\n [[0xff, 0xd8, 0xff], '.jpg'],\n [[0x89, 0x50, 0x4e, 0x47, 0x0d, 0x0a, 0x1a, 0x0a], '.png'], // \\x89PNG\\r\\n\\x1a\\n\n [[0x47, 0x49, 0x46, 0x38, 0x37, 0x61], '.gif'], // GIF87a\n [[0x47, 0x49, 0x46, 0x38, 0x39, 0x61], '.gif'], // GIF89a\n];\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\nexport interface ImgDownloadResult {\n originalUrl: string;\n localRel: string | null; // relative path like ./images/img_01.jpg\n status: 'ok' | 'failed' | 'too_large';\n}\n\n// ---------------------------------------------------------------------------\n// Magic byte sniffing\n// ---------------------------------------------------------------------------\n\n/**\n * 优先按文件头的 magic bytes 判扩展，不命中再用 Content-Type 作 fallback。\n * 都不命中返回 null（调用方应当丢弃此图）。\n */\nexport function sniffExt(head: Uint8Array, contentType: string): string | null {\n for (const [sig, ext] of MAGIC) {\n if (sig.every((b, i) => head[i] === b)) return ext;\n }\n // RIFF....WEBP\n if (\n head[0] === 0x52 &&\n head[1] === 0x49 &&\n head[2] === 0x46 &&\n head[3] === 0x46 &&\n head[8] === 0x57 &&\n head[9] === 0x45 &&\n head[10] === 0x42 &&\n head[11] === 0x50\n ) {\n return '.webp';\n }\n const ct = contentType.toLowerCase();\n if (ct.includes('image/jpeg') || ct.includes('image/jpg')) return '.jpg';\n if (ct.includes('image/png')) return '.png';\n if (ct.includes('image/gif')) return '.gif';\n if (ct.includes('image/webp')) return '.webp';\n if (ct.includes('image/svg')) return '.svg';\n return null;\n}\n\n// ---------------------------------------------------------------------------\n// Image downloading\n// ---------------------------------------------------------------------------\n\n/**\n * 单张图下载：最多 2 次尝试；超过 MAX_IMG_BYTES 标 too_large；\n * 文件名格式 `img_{idx:02d}.{ext}`，相对链接形如 `./.assets/img_01.jpg`。\n */\nexport async function downloadOneImage(\n url: string,\n idx: number,\n imagesDir: string,\n headers: Record,\n assetsRelPath: string,\n): Promise {\n for (let attempt = 0; attempt < 2; attempt++) {\n try {\n const controller = new AbortController();\n const timer = setTimeout(() => controller.abort(), HTTP_TIMEOUT_MS);\n const res = await fetch(url, {\n headers,\n redirect: 'follow',\n signal: controller.signal,\n });\n clearTimeout(timer);\n\n if (!res.ok) continue;\n\n const cl = Number(res.headers.get('content-length') || 0);\n if (cl && cl > MAX_IMG_BYTES) {\n return { originalUrl: url, localRel: null, status: 'too_large' };\n }\n\n const buf = await res.arrayBuffer();\n if (buf.byteLength > MAX_IMG_BYTES) {\n return { originalUrl: url, localRel: null, status: 'too_large' };\n }\n\n const data = new Uint8Array(buf);\n const ext = sniffExt(data.slice(0, 16), res.headers.get('content-type') || '');\n if (!ext) continue;\n\n const fname = `img_${String(idx).padStart(2, '0')}${ext}`;\n await writeFile(join(imagesDir, fname), data);\n // localRel 相对于 .md 文件位置；assetsRelPath 例如 \"./.assets/\"\n return { originalUrl: url, localRel: `${assetsRelPath}${fname}`, status: 'ok' };\n } catch {\n // retry\n }\n }\n return { originalUrl: url, localRel: null, status: 'failed' };\n}\n\n/**\n * 批量下载：按 IMG_CONCURRENCY 分批 Promise.all，避免一次打开太多 socket。\n * 返回结果数组顺序对应 imgSrcs。\n */\nexport async function downloadImages(\n imgSrcs: string[],\n imagesDir: string,\n headers: Record,\n assetsRelPath: string,\n): Promise {\n if (imgSrcs.length === 0) return [];\n await mkdir(imagesDir, { recursive: true });\n\n const results: ImgDownloadResult[] = [];\n // Process in batches of IMG_CONCURRENCY\n for (let i = 0; i < imgSrcs.length; i += IMG_CONCURRENCY) {\n const batch = imgSrcs.slice(i, i + IMG_CONCURRENCY);\n const batchResults = await Promise.all(\n batch.map((src, j) => downloadOneImage(src, i + j + 1, imagesDir, headers, assetsRelPath)),\n );\n results.push(...batchResults);\n }\n return results;\n}\n\n// ---------------------------------------------------------------------------\n// Markdown link rewriting\n// ---------------------------------------------------------------------------\n\n/**\n * 用下载结果把 markdown 中的 `![alt](远端 URL)` 重写为 `![alt](本地相对路径)`。\n * 下载失败的图保留原 URL。\n */\nexport function rewriteMarkdownImages(md: string, imgResults: ImgDownloadResult[]): string {\n const urlToLocal = new Map();\n for (const r of imgResults) {\n if (r.status === 'ok' && r.localRel) {\n urlToLocal.set(r.originalUrl, r.localRel);\n }\n }\n // Replace ![alt](url) with ![alt](localRel)\n return md.replace(/!\\[([^\\]]*)\\]\\(([^)]+)\\)/g, (match, alt, url) => {\n const local = urlToLocal.get(url);\n return local ? `![${alt}](${local})` : match;\n });\n}\n","/**\n * fetcher/routes/web.ts — generic 网页解析（OpenGraph + meta + article/main/body）\n *\n * 批次 21c strangler fig 第三步：从 src/lib/fetcher.ts copy 出 parseGeneric。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import，仅作旁路 parser。21g 才创建 routes/index.ts dispatcher 取代\n * fetchUrl 内的 `site === 'weixin' ? parseWeixin : parseGeneric` 三元逻辑。\n *\n * 不含微信特定逻辑（见 21d 抽 routes/weixin.ts）。\n * 不含 frontmatter 拼装（见 21b 的 frontmatter.ts，本文件仅做 HTML → ParsedDoc）。\n */\nimport * as cheerio from 'cheerio';\n\nimport { normalizeDateText, resolveUrl } from '../helpers.js';\nimport type { ParsedDoc } from '../types.js';\n\n// ParsedDoc 21g-pre 上提到 fetcher/types.ts，本文件 21c 内的 inline 定义已删除。\n// 字段、可选性、注释完全一致，纯类型替换。\n\n// ---------------------------------------------------------------------------\n// parseGeneric\n// ---------------------------------------------------------------------------\n\n/**\n * generic 网页 HTML → ParsedDoc。\n *\n * 策略：\n * - title: og:title > \n * - author: meta[name=author]\n * - publishDate: 一组常见 meta / `<time datetime>` / `<time>` 文本，按优先级第一个能解析的胜出\n * - body: <article> > <main> > <body>（找不到则返回空 bodyHtml）\n * - 图片：data-src > data-original > src，相对路径转绝对，丢弃 data:URL\n */\nexport function parseGeneric(html: string, baseUrl: string): ParsedDoc {\n const $ = cheerio.load(html);\n\n // Title\n const ogTitle = $('meta[property=\"og:title\"]').attr('content')?.trim();\n const titleTag = $('title').text().trim();\n const title = ogTitle || titleTag || '';\n\n // Author\n const author = $('meta[name=\"author\"]').attr('content')?.trim() || '';\n\n // Publish date — common places: OpenGraph article, meta, <time datetime>, JSON-LD\n let publishDate: string | undefined;\n const dateCandidates: Array<string | undefined> = [\n $('meta[property=\"article:published_time\"]').attr('content'),\n $('meta[property=\"og:article:published_time\"]').attr('content'),\n $('meta[name=\"article:published_time\"]').attr('content'),\n $('meta[itemprop=\"datePublished\"]').attr('content'),\n $('meta[name=\"date\"]').attr('content'),\n $('meta[name=\"pubdate\"]').attr('content'),\n $('meta[name=\"publishdate\"]').attr('content'),\n $('time[datetime]').first().attr('datetime'),\n $('time').first().text(),\n ];\n for (const cand of dateCandidates) {\n if (!cand) continue;\n const norm = normalizeDateText(cand);\n if (norm) {\n publishDate = norm;\n break;\n }\n }\n\n // Body: article > main > body\n let body = $('article');\n if (!body.length) body = $('main');\n if (!body.length) body = $('body');\n if (!body.length) {\n return { title, author, publishDate, bodyHtml: '', imgSrcs: [] };\n }\n\n // Clean junk\n body.find('script, style, nav, footer, header, aside').remove();\n\n // Normalize images\n const imgSrcs: string[] = [];\n body.find('img').each((_i, el) => {\n const $el = $(el);\n const real = (\n $el.attr('data-src') ||\n $el.attr('data-original') ||\n $el.attr('src') ||\n ''\n ).trim();\n if (!real || real.startsWith('data:')) {\n $el.remove();\n return;\n }\n const abs = resolveUrl(real, baseUrl);\n $el.attr('src', abs);\n imgSrcs.push(abs);\n });\n\n return { title, author, publishDate, bodyHtml: body.html() || '', imgSrcs };\n}\n","/**\n * fetcher/routes/weixin.ts — 微信公众号文章解析\n *\n * 批次 21d strangler fig 第四步：从 src/lib/fetcher.ts copy 出 parseWeixin。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import，仅作旁路 parser。21g 才创建 routes/index.ts dispatcher 取代\n * fetchUrl 内的 `site === 'weixin' ? parseWeixin : parseGeneric` 三元逻辑。\n *\n * ## 与原 parseWeixin 的差异（LEGACY P4-4 顺手修，规划方批准）\n *\n * 旧版只识别 `<img>` 标签的 lazy attrs（data-src / data-original / data-url）。\n * 部分微信文章用 `<picture><source srcset=\"...\"><img ...></picture>` 或仅 `<picture>\n * <source srcset=\"...\"></picture>`（无 img）的写法，旧版会丢图。\n *\n * 新版在跑 img 流程前先扫一遍 `<picture>` 节点：\n * - 取内部第一个 `<source>` 的 `srcset`，parse 第一个 URL（srcset 语法：`url [w|x], url2 [w|x], ...`，用 `,` 分隔候选 + 空白分隔 url 与 descriptor）\n * - 若 picture 内有 `<img>` 且其 `src/data-src/data-original/data-url` 都为空，把 srcset url 写入 `data-src`（让后续 img 流程统一处理）\n * - 若 picture 内无 `<img>` 且 srcset 有效，append 一个 `<img data-src=\"...\">`\n * - 用 picture 的 first `<img>` 节点替换 picture 整体（unwrap），删掉 picture 与所有 `<source>` 子节点，避免 turndown 输出残留\n * - 兜底：扫整个 body 内残留的 `<source>` 节点（picture 之外野生的，极少见）一并 remove\n *\n * 这样后续 `body.find('img').each(...)` 流程不变，imgSrcs 自然累加。\n */\nimport * as cheerio from 'cheerio';\n\nimport { normalizeDateText, resolveUrl, tsToYMD } from '../helpers.js';\nimport type { ParsedDoc } from '../types.js';\n\n// ParsedDoc 21g-pre 上提到 fetcher/types.ts，本文件 21d 内的 inline 定义已删除。\n// 字段、可选性、注释完全一致，纯类型替换。\n\n// ---------------------------------------------------------------------------\n// P4-4 helper: srcset → 第一个 URL\n// ---------------------------------------------------------------------------\n\n/**\n * srcset 形如：`a.jpg 320w, b.jpg 640w` 或 `a.jpg, b.jpg 2x`。\n * 取第一个候选（按 `,` 分），再取候选里第一个 whitespace token（去掉 `Nw` / `Nx` descriptor）。\n * 空 / 非法返回空串。\"最高质量 URL\"判断需要 parse w/x 比较，本批次只取第一个保持最简实现。\n */\nfunction firstSrcsetUrl(srcset: string): string {\n const s = srcset.trim();\n if (!s) return '';\n const firstCandidate = s.split(',')[0].trim();\n if (!firstCandidate) return '';\n const url = firstCandidate.split(/\\s+/)[0].trim();\n return url;\n}\n\n// ---------------------------------------------------------------------------\n// parseWeixin\n// ---------------------------------------------------------------------------\n\nexport function parseWeixin(html: string, baseUrl: string): ParsedDoc {\n const $ = cheerio.load(html);\n\n // Title\n let title =\n $('h1#activity-name').text().trim() ||\n $('h1.rich_media_title').text().trim() ||\n $('meta[property=\"og:title\"]').attr('content')?.trim() ||\n '';\n\n // Author\n const author = $('a#js_name').text().trim() || $('#js_author_name').text().trim() || '';\n\n // Publish date — prefer `var ct = \"<unix seconds>\"` (most reliable),\n // fallback to <em id=\"publish_time\"> text node.\n let publishDate: string | undefined;\n const ctMatch = html.match(/var\\s+ct\\s*=\\s*\"(\\d+)\"/);\n if (ctMatch) {\n const ts = Number(ctMatch[1]);\n if (Number.isFinite(ts) && ts > 0) publishDate = tsToYMD(ts);\n }\n if (!publishDate) {\n const ptText = $('em#publish_time').text().trim();\n if (ptText) publishDate = normalizeDateText(ptText);\n }\n\n // Body\n const body = $('#js_content');\n if (!body.length) {\n return { title, author, publishDate, bodyHtml: '', imgSrcs: [] };\n }\n\n // Clean\n body.find('script, style').remove();\n\n // ---------------------------------------------------------------------------\n // P4-4: 把 <picture><source srcset> 展开成 <img>，再走原有 img 流程\n // ---------------------------------------------------------------------------\n body.find('picture').each((_i, el) => {\n const $picture = $(el);\n // 取第一个 source 的 srcset\n const $firstSource = $picture.find('source[srcset]').first();\n const srcsetRaw = $firstSource.attr('srcset') || '';\n const pickedUrl = firstSrcsetUrl(srcsetRaw);\n\n let $img = $picture.find('img').first();\n\n if ($img.length) {\n // 有 img：若 src / data-* 都空才用 srcset 兜底，避免覆盖原有更明确的来源\n const existing = (\n $img.attr('data-src') ||\n $img.attr('data-original') ||\n $img.attr('data-url') ||\n $img.attr('src') ||\n ''\n ).trim();\n if (!existing && pickedUrl) {\n $img.attr('data-src', pickedUrl);\n }\n } else if (pickedUrl) {\n // 无 img：用 srcset url 新建一个，后续 img 流程统一处理\n $picture.append(`<img data-src=\"${pickedUrl}\">`);\n $img = $picture.find('img').first();\n }\n\n // unwrap：用 img 替换 picture 整体；若没拿到 img（srcset 也空），picture 整块移除\n if ($img.length) {\n $picture.replaceWith($img);\n } else {\n $picture.remove();\n }\n });\n\n // 兜底：清掉野生 <source> 节点（picture 之外极少见，但为 turndown 干净起见统一删）\n body.find('source').remove();\n\n // Normalize images: data-src / data-original → src\n const imgSrcs: string[] = [];\n body.find('img').each((_i, el) => {\n const $el = $(el);\n const real = (\n $el.attr('data-src') ||\n $el.attr('data-original') ||\n $el.attr('data-url') ||\n $el.attr('src') ||\n ''\n ).trim();\n if (!real || real.startsWith('data:')) {\n $el.remove();\n return;\n }\n const abs = resolveUrl(real, baseUrl);\n $el.attr('src', abs);\n // Remove noisy attrs\n for (const a of [\n 'data-src',\n 'data-original',\n 'data-url',\n 'data-w',\n 'data-ratio',\n 'data-type',\n 'data-s',\n 'srcset',\n ]) {\n $el.removeAttr(a);\n }\n imgSrcs.push(abs);\n });\n\n return { title, author, publishDate, bodyHtml: body.html() || '', imgSrcs };\n}\n","/**\n * fetcher/routes/gist.ts — GitHub Gist 抓取\n *\n * 批次 21e strangler fig 第五步：从 src/lib/fetcher.ts copy 出 parseGistUrl + fetchGist。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import，仅作旁路。21g 才切换 dispatcher 并删旧。\n *\n * **本批首次集成 21b 的 buildFrontmatter()**：旧 fetchGist 内嵌的 fmLines 拼装段\n * 替换为 `lines.push(...buildFrontmatter({routeKind: 'gist', ...}))`，验证 21b 抽出的\n * helper 设计可用。21b 已用 6 mock case 证明 byte-level 等价；本文件因此 frontmatter\n * 段无需重复验证，整份文件 buffer 等价由 21e 自有 mock 兜底。\n */\nimport { mkdir, writeFile } from 'node:fs/promises';\nimport { join } from 'node:path';\n\nimport * as cheerio from 'cheerio';\n\nimport { buildFrontmatter } from '../frontmatter.js';\nimport { normalizeDateText, slugify, todayYMD } from '../helpers.js';\nimport { buildHeaders, fetchHtmlL1 } from '../http.js';\nimport type { FetchResult } from '../types.js';\n\n// FetchResult 21g-pre 上提到 fetcher/types.ts，本文件 21e 内的 inline 定义已删除。\n// 字段、可选性、注释完全一致，纯类型替换。\n\n// ---------------------------------------------------------------------------\n// parseGistUrl\n// ---------------------------------------------------------------------------\n\n/**\n * 校验并解析 gist URL。仅接受 `gist.github.com` / `gist.githubusercontent.com`，\n * 路径需含 `/<user>/<id>` 至少两段。其余返回 null。\n */\nexport function parseGistUrl(url: string): { user: string; id: string } | null {\n try {\n const u = new URL(url);\n if (\n !u.hostname.endsWith('gist.github.com') &&\n !u.hostname.endsWith('gist.githubusercontent.com')\n ) {\n return null;\n }\n const parts = u.pathname.split('/').filter(Boolean);\n if (parts.length < 2) return null;\n return { user: parts[0], id: parts[1] };\n } catch {\n return null;\n }\n}\n\n// ---------------------------------------------------------------------------\n// fetchGist 主流程\n// ---------------------------------------------------------------------------\n\n/**\n * gist 抓取流程：\n * 1. 校验 URL，解析 user / id\n * 2. fetch gist 主页 HTML（L1 only，gist 页面不需要 playwright）\n * 3. 用 cheerio 抽 title / author / publishDate\n * 4. 扫所有 `<a href>`，匹配 `/<user>/<id>/raw/<sha>/<filename>` 模式抽 raw 链接\n * 5. 优先 `.md` / `.markdown`，否则取第一个；二次 fetch 拿正文\n * 6. 拼 frontmatter（用 21b buildFrontmatter）+ 可选 H1 + 正文，写到 outRoot/<slug>.md\n *\n * 失败路径返回 `{status:'error', reason:...}`，由调用方决定是否兜底。\n */\nexport async function fetchGist(url: string, outRoot: string): Promise<FetchResult> {\n const parsed = parseGistUrl(url);\n if (!parsed) {\n return { status: 'error', route: 'gist', url, reason: 'invalid_gist_url' };\n }\n\n const headers = buildHeaders('generic');\n let html: string;\n try {\n html = await fetchHtmlL1(url, headers);\n } catch (e) {\n return {\n status: 'error',\n route: 'gist',\n url,\n reason: `fetch_failed: ${(e as Error).message}`,\n };\n }\n\n const $ = cheerio.load(html);\n\n // gist 页面把描述放在 .gist-header [itemprop=\"about\"]，OpenGraph title 通常是第一个文件名\n const description = $('[itemprop=\"about\"]').first().text().trim();\n const ogTitle = $('meta[property=\"og:title\"]').attr('content')?.trim();\n const title = description || ogTitle || parsed.id;\n\n const author = parsed.user;\n\n // 日期：<relative-time datetime=\"ISO\"> 是 GitHub 标准元素\n let publishDate: string | undefined;\n const dateRaw =\n $('relative-time').first().attr('datetime') ||\n $('time-ago').first().attr('datetime') ||\n $('meta[property=\"article:published_time\"]').attr('content') ||\n '';\n if (dateRaw) publishDate = normalizeDateText(dateRaw);\n\n // 抽 raw 链接。gist 页面的 raw 链接形如：\n // /karpathy/442a6b.../raw/ac46de.../llm-wiki.md\n const rawRe = /^\\/([^/]+)\\/([a-f0-9]{20,})\\/raw\\/([a-f0-9]{20,})\\/(.+)$/i;\n const rawLinks: Array<{ name: string; rawUrl: string }> = [];\n $('a').each((_i, el) => {\n const href = $(el).attr('href') || '';\n const m = href.match(rawRe);\n if (m) {\n rawLinks.push({\n name: m[4],\n rawUrl: 'https://gist.githubusercontent.com' + href,\n });\n }\n });\n\n if (rawLinks.length === 0) {\n return { status: 'error', route: 'gist', url, reason: 'no_raw_files_found' };\n }\n\n // 优先 markdown，其次第一个\n const mdLink = rawLinks.find((l) => /\\.(md|markdown)$/i.test(l.name)) || rawLinks[0];\n\n let content: string;\n try {\n const res = await fetch(mdLink.rawUrl, { headers, redirect: 'follow' });\n if (!res.ok) throw new Error(`HTTP ${res.status} on ${mdLink.rawUrl}`);\n content = await res.text();\n } catch (e) {\n const err = e as Error & { cause?: Error };\n const cause = err.cause?.message ? ` (${err.cause.message})` : '';\n return {\n status: 'error',\n route: 'gist',\n url,\n reason: `raw_fetch_failed: ${err.message}${cause} [raw_url=${mdLink.rawUrl}]`,\n };\n }\n\n const slug = slugify(title);\n await mkdir(outRoot, { recursive: true });\n\n const today = todayYMD();\n const hasH1 = /^#\\s+/m.test(content);\n // 21b buildFrontmatter 返回的行数组与原 fetcher.ts:709-718 内嵌 fmLines 块\n // byte-level 等价（21b 已 6 mock case 证明），spread 进 fmLines 后续操作不变\n const fmLines: string[] = [];\n fmLines.push(\n ...buildFrontmatter({\n routeKind: 'gist',\n title,\n today,\n url,\n author,\n publishDate,\n }),\n );\n fmLines.push('');\n if (!hasH1) fmLines.push(`# ${title}`, '');\n fmLines.push(content.trim(), '');\n\n const articlePath = join(outRoot, `${slug}.md`);\n await writeFile(articlePath, fmLines.join('\\n'), 'utf-8');\n\n return {\n status: 'ok',\n route: 'gist',\n url,\n title,\n author,\n publishDate,\n sourceKind: 'gist',\n sourceLayer: 'L1',\n slug,\n markdown: articlePath,\n imagesOk: 0,\n imagesFailed: 0,\n };\n}\n","/**\n * fetcher/routes/github.ts — GitHub repo / blob 抓取（README.md 或具体文件）\n *\n * 批次 21f strangler fig 第六步：从 src/lib/fetcher.ts copy 出 parseGithubRepoUrl\n * + fetchGithubDoc。原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换；\n * 本文件目前未被任何调用方 import，仅作旁路。21g 才切换 dispatcher 并删旧。\n *\n * 集成 21b 的 buildFrontmatter，routeKind='github'：\n * - 21b 已验证 github routeKind 强制忽略 publishDate（即使传入也不输出）\n * - 原 fetchGithubDoc 本来就不抽 publishDate，调用时不传该字段，行为等价\n */\nimport { mkdir, writeFile } from 'node:fs/promises';\nimport { join } from 'node:path';\n\nimport { buildFrontmatter } from '../frontmatter.js';\nimport { slugify, todayYMD } from '../helpers.js';\nimport { buildHeaders } from '../http.js';\nimport type { FetchResult } from '../types.js';\n\n// FetchResult 21g-pre 上提到 fetcher/types.ts，本文件 21f 内的 inline 定义已删除。\n// 字段、可选性、注释完全一致，纯类型替换。\n\ninterface GithubRepoRef {\n owner: string;\n repo: string;\n ref: string; // HEAD / branch / commit\n subpath?: string; // 具体文件路径，如 \"docs/foo.md\"\n}\n\n// ---------------------------------------------------------------------------\n// parseGithubRepoUrl\n// ---------------------------------------------------------------------------\n\n/**\n * 校验并解析 github URL。仅接受 `github.com` / `www.github.com`，\n * 路径需含 `/<owner>/<repo>` 至少两段。支持 `/blob/<ref>/<subpath>` 与 `/tree/<ref>`。\n * 其余返回 null。\n */\nexport function parseGithubRepoUrl(url: string): GithubRepoRef | null {\n try {\n const u = new URL(url);\n if (u.hostname !== 'github.com' && u.hostname !== 'www.github.com') return null;\n const parts = u.pathname.split('/').filter(Boolean);\n if (parts.length < 2) return null;\n const [owner, rawRepo, ...rest] = parts;\n const repo = rawRepo.replace(/\\.git$/, '');\n\n if (rest.length === 0) {\n return { owner, repo, ref: 'HEAD' };\n }\n if (rest[0] === 'blob' && rest.length >= 3) {\n return { owner, repo, ref: rest[1], subpath: rest.slice(2).join('/') };\n }\n if (rest[0] === 'tree' && rest.length >= 2) {\n return { owner, repo, ref: rest[1] };\n }\n return { owner, repo, ref: 'HEAD' };\n } catch {\n return null;\n }\n}\n\n// ---------------------------------------------------------------------------\n// fetchGithubDoc 主流程\n// ---------------------------------------------------------------------------\n\n/**\n * github 抓取流程：\n * 1. 校验 URL\n * 2. 子路径模式：直接拼 raw URL；仓库根模式：循环试 5 个常见 README 文件名\n * 3. 第一个 HTTP 200 + 正文 > 20 字符 的胜出\n * 4. 拼 frontmatter（用 21b buildFrontmatter）+ 可选 H1 + `> Fetched from:` 注解 + 正文\n * 5. 写到 outRoot/<slug>.md\n *\n * 失败路径返回 `{status:'error', reason:...}`，由调用方决定是否兜底。\n */\nexport async function fetchGithubDoc(url: string, outRoot: string): Promise<FetchResult> {\n const parsed = parseGithubRepoUrl(url);\n if (!parsed) {\n return { status: 'error', route: 'github', url, reason: 'invalid_github_url' };\n }\n\n const { owner, repo, ref, subpath } = parsed;\n const headers = buildHeaders('generic');\n\n // 确定候选 raw URL 列表\n const candidates: string[] = [];\n if (subpath) {\n candidates.push(`https://raw.githubusercontent.com/${owner}/${repo}/${ref}/${subpath}`);\n } else {\n // 仓库根：尝试常见 README 文件名\n for (const name of ['README.md', 'README.MD', 'Readme.md', 'readme.md', 'README']) {\n candidates.push(`https://raw.githubusercontent.com/${owner}/${repo}/HEAD/${name}`);\n }\n }\n\n let content = '';\n let chosenUrl = '';\n for (const candUrl of candidates) {\n try {\n const res = await fetch(candUrl, { headers });\n if (!res.ok) continue;\n const text = await res.text();\n if (text && text.trim().length > 20) {\n content = text;\n chosenUrl = candUrl;\n break;\n }\n } catch {\n // try next\n }\n }\n\n if (!content) {\n return { status: 'error', route: 'github', url, reason: 'no_readable_content_found' };\n }\n\n const fileName = subpath ? subpath.split('/').pop()! : 'README.md';\n const title = subpath ? fileName.replace(/\\.(md|markdown)$/i, '') : `${owner}/${repo}`;\n\n const slug = slugify(subpath ? `${owner}-${repo}-${fileName}` : `${owner}-${repo}`);\n await mkdir(outRoot, { recursive: true });\n\n const today = todayYMD();\n const hasH1 = /^#\\s+/m.test(content);\n // 21b buildFrontmatter routeKind='github' 强制忽略 publishDate（21b parity case 6 已验证），\n // 不传该字段即可。返回行数组与原 fetcher.ts:826-834 内嵌 fmLines 块 byte-level 等价。\n const fmLines: string[] = [];\n fmLines.push(\n ...buildFrontmatter({\n routeKind: 'github',\n title,\n today,\n url,\n author: owner,\n }),\n );\n fmLines.push('');\n if (!hasH1) fmLines.push(`# ${title}`, '');\n fmLines.push(`> Fetched from: ${chosenUrl}`, '');\n fmLines.push(content.trim(), '');\n\n const articlePath = join(outRoot, `${slug}.md`);\n await writeFile(articlePath, fmLines.join('\\n'), 'utf-8');\n\n return {\n status: 'ok',\n route: 'github',\n url,\n title,\n author: owner,\n sourceKind: 'github',\n sourceLayer: 'L1',\n slug,\n markdown: articlePath,\n imagesOk: 0,\n imagesFailed: 0,\n };\n}\n","/**\n * ingest-state.ts — Persistent ingest pipeline state.\n *\n * Lives at `<corpus>/.wiki/ingest-state.json`. The authoritative record of\n * \"what URL was ingested, at what step, and did we finish it.\" Used by:\n * - `lorekit fetch` : dedupe + resume detection\n * - `lorekit ingest *` : step tracking from the skill/agent\n * - `lorekit ingest-check` : surface in-flight / failed ingests\n */\nimport { existsSync, mkdirSync, readFileSync, writeFileSync } from 'node:fs';\nimport { join, dirname } from 'node:path';\n\n/**\n * Three coarse states the user actually cares about:\n * started — URL has entered the pipeline, not finished yet.\n * (which sub-step it's at is recorded in `stepsDone` below.)\n * completed — archived + wiki + lint all done.\n * failed — explicit abort with a reason.\n *\n * Finer sub-steps live in `stepsDone[]` so resuming an interrupted ingest\n * can skip already-done work, but the top-level symbol stays one of three.\n */\nexport type IngestStatus = 'started' | 'completed' | 'failed';\n\nexport type IngestStep = 'fetch' | 'archive' | 'wiki' | 'backlink' | 'lint';\n\nexport interface IngestRecord {\n url: string;\n title?: string;\n sourceDate?: string; // YYYY-MM-DD\n startedAt: string; // ISO timestamp\n updatedAt: string; // ISO timestamp\n status: IngestStatus;\n stepsDone: IngestStep[];\n workbenchMd?: string; // absolute path to <slug>.md while status=fetched\n // 老字段，兼容 0.3.x 之前的 state.json（产物是 <slug>/article.md 嵌套结构）\n workbenchDir?: string;\n archivedTo?: string; // relative-to-corpus path (e.g. 原料/剪藏/xxx)\n wikiPages?: string[]; // relative-to-corpus paths\n error?: string;\n}\n\nexport interface IngestStateFile {\n version: 1;\n ingests: Record<string, IngestRecord>;\n}\n\nfunction stateFilePath(corpus: string): string {\n return join(corpus, '.wiki', 'ingest-state.json');\n}\n\nexport function loadIngestState(corpus: string): IngestStateFile {\n const p = stateFilePath(corpus);\n if (!existsSync(p)) {\n return { version: 1, ingests: {} };\n }\n try {\n const raw = readFileSync(p, 'utf-8');\n const parsed = JSON.parse(raw);\n if (!parsed || typeof parsed !== 'object') {\n return { version: 1, ingests: {} };\n }\n if (!parsed.ingests || typeof parsed.ingests !== 'object') {\n parsed.ingests = {};\n }\n parsed.version = 1;\n return parsed as IngestStateFile;\n } catch {\n return { version: 1, ingests: {} };\n }\n}\n\nexport function saveIngestState(corpus: string, state: IngestStateFile): void {\n const p = stateFilePath(corpus);\n mkdirSync(dirname(p), { recursive: true });\n const serialized = JSON.stringify(state, null, 2);\n writeFileSync(p, serialized + '\\n', 'utf-8');\n}\n\nexport function getIngestRecord(corpus: string, url: string): IngestRecord | undefined {\n return loadIngestState(corpus).ingests[url];\n}\n\nexport function upsertIngestRecord(\n corpus: string,\n url: string,\n patch: Partial<IngestRecord>,\n): IngestRecord {\n const state = loadIngestState(corpus);\n const now = new Date().toISOString();\n const existing = state.ingests[url];\n const merged: IngestRecord = existing\n ? { ...existing, ...patch, url, updatedAt: now }\n : {\n url,\n startedAt: now,\n updatedAt: now,\n status: (patch.status as IngestStatus) ?? 'started',\n stepsDone: patch.stepsDone ?? [],\n ...patch,\n };\n // Dedup stepsDone\n if (merged.stepsDone) {\n merged.stepsDone = Array.from(new Set(merged.stepsDone));\n }\n state.ingests[url] = merged;\n saveIngestState(corpus, state);\n return merged;\n}\n\nexport function deleteIngestRecord(corpus: string, url: string): boolean {\n const state = loadIngestState(corpus);\n if (!(url in state.ingests)) return false;\n delete state.ingests[url];\n saveIngestState(corpus, state);\n return true;\n}\n\nexport function listPendingIngests(corpus: string): IngestRecord[] {\n const state = loadIngestState(corpus);\n return Object.values(state.ingests).filter((r) => r.status !== 'completed');\n}\n\n/**\n * Suggest the next step for a resumed ingest.\n * Derived from stepsDone so the caller doesn't have to know the step order.\n */\nexport function nextStepHint(record: IngestRecord): string {\n if (record.status === 'completed') return 'nothing to do';\n if (record.status === 'failed') {\n return `failed: ${record.error ?? 'unknown error'} — inspect and re-run with --force if you want to retry`;\n }\n const done = new Set(record.stepsDone);\n if (!done.has('fetch')) {\n return 'fetch: nothing recorded yet — run `lorekit fetch <url>`';\n }\n if (!done.has('archive')) {\n return 'archive: mv the workbench dir into 原料/（剪藏|文章|书籍|...）';\n }\n if (!done.has('wiki')) {\n return 'wiki: compile wiki pages in 知识库/（概念|实体|摘要|专题）';\n }\n if (!done.has('lint')) {\n return 'lint: run `lorekit ingest-check`, fix any issues, then `lorekit ingest record <url> --complete`';\n }\n return 'all steps done but status not yet completed — run `lorekit ingest record <url> --complete`';\n}\n","/**\n * `lorekit ingest` — subcommands for marking ingest pipeline progress.\n *\n * The agent running wiki-ingest calls these as it advances through the\n * Decision tree; each call mutates .wiki/ingest-state.json. This makes\n * interrupted ingests resumable and provides the source of truth for\n * `lorekit ingest-check`.\n */\nimport type { Command } from 'commander';\nimport { existsSync, readdirSync, readFileSync, writeFileSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport { requireCorpus, collectMdFiles, extractFrontmatter } from '../lib/corpus.js';\nimport {\n loadIngestState,\n saveIngestState,\n upsertIngestRecord,\n deleteIngestRecord,\n listPendingIngests,\n nextStepHint,\n type IngestRecord,\n type IngestStep,\n type IngestStatus,\n} from '../lib/ingest-state.js';\nimport { dateToYMDLocal } from '../lib/date.js';\nimport { out, print } from '../utils/logger.js';\n\nconst VALID_STEPS: IngestStep[] = ['fetch', 'archive', 'wiki', 'backlink', 'lint'];\n\n// Today as YYYY-MM-DD in local time (Asia/Shanghai assumed by user setup).\nfunction today(): string {\n return dateToYMDLocal(new Date());\n}\n\n/**\n * Append a structured ingest entry to corpus/log.md.\n *\n * The log.md format (see existing entries) uses `## [YYYY-MM-DD] ingest | 标题`\n * as a section header followed by structured bullet lines. We prepend the new\n * entry just below the file's intro block (after the first `>` blockquote line)\n * so the most recent ingest sits on top — matching the convention of existing\n * entries.\n *\n * `body` is the LLM-supplied one-paragraph summary describing what was done.\n * The CLI auto-fills url / archive / wiki pages from the state record so the\n * skill doesn't have to repeat them.\n */\nfunction appendLogEntry(corpus: string, record: IngestRecord, body: string): void {\n const logPath = join(corpus, 'log.md');\n const title = record.title ?? '(untitled)';\n const wikiList = (record.wikiPages ?? []).map((p) => ` - ${p}`).join('\\n');\n const archived = record.archivedTo ?? '(unrecorded)';\n\n const entry = [\n `## [${today()}] ingest | ${title}`,\n '',\n body.trim(),\n '',\n `- **URL**：${record.url}`,\n `- **归档**：${archived}`,\n record.wikiPages && record.wikiPages.length > 0\n ? `- **新建/更新页**：\\n${wikiList}`\n : '- **新建/更新页**：（无）',\n '',\n '',\n ].join('\\n');\n\n let existing = '';\n if (existsSync(logPath)) existing = readFileSync(logPath, 'utf-8');\n\n if (!existing) {\n // Bootstrap a minimal log.md with header + first entry.\n const header =\n '# Log\\n\\n> 操作时间线，append-only。每条格式：`## [YYYY-MM-DD] 操作类型 | 标题`\\n> 可用 `grep \"^## \\\\[\" log.md | tail -10` 快速查最近操作。\\n\\n';\n writeFileSync(logPath, header + entry, 'utf-8');\n return;\n }\n\n // Insert new entry between intro block and first existing `## [` section.\n const firstSection = existing.search(/^## \\[/m);\n if (firstSection === -1) {\n // No existing sections — append at end.\n const sep = existing.endsWith('\\n') ? '' : '\\n';\n writeFileSync(logPath, existing + sep + entry, 'utf-8');\n } else {\n const before = existing.slice(0, firstSection);\n const after = existing.slice(firstSection);\n writeFileSync(logPath, before + entry + after, 'utf-8');\n }\n}\n\nexport function ingestCommand(program: Command): void {\n const group = program\n .command('ingest')\n .description('Track ingest pipeline state (record step progress, list pending, reconcile)');\n\n // ---------- list ----------\n group\n .command('list')\n .description('List every ingest record (completed + in-progress)')\n .action(() => {\n const corpus = requireCorpus();\n const state = loadIngestState(corpus);\n const rows = Object.values(state.ingests);\n if (rows.length === 0) {\n print('[lorekit ingest list] no records');\n out(JSON.stringify({ ingests: [] }));\n return;\n }\n const summary = rows.map((r) => {\n const done = r.stepsDone.join(',') || '(none)';\n const dest = r.archivedTo ?? r.workbenchMd ?? r.workbenchDir ?? '-';\n return ` [${r.status.padEnd(12)}] ${r.url}\\n steps: ${done} → ${dest}`;\n });\n print(`[lorekit ingest list] ${rows.length} record(s)\\n${summary.join('\\n')}`);\n out(JSON.stringify(state));\n });\n\n // ---------- pending ----------\n group\n .command('pending')\n .description('List only in-progress (non-completed) ingests — what you need to resume')\n .action(() => {\n const corpus = requireCorpus();\n const pending = listPendingIngests(corpus);\n if (pending.length === 0) {\n print('[lorekit ingest pending] all ingests are completed — nothing to resume');\n out(JSON.stringify({ pending: [] }));\n return;\n }\n const summary = pending.map((r) => {\n return ` [${r.status.padEnd(12)}] ${r.url}\\n next step → ${nextStepHint(r)}`;\n });\n print(\n `[lorekit ingest pending] ${pending.length} ingest(s) need attention\\n${summary.join('\\n')}`,\n );\n out(JSON.stringify({ pending }));\n process.exitCode = 1;\n });\n\n // ---------- record ----------\n group\n .command('record <url>')\n .description('Record step progress for an ingest (call from wiki-ingest skill)')\n .option(\n '--step <steps>',\n `mark step(s) as done. single: archive | multi: archive,wiki,backlink,lint. valid: ${VALID_STEPS.join(', ')}`,\n )\n .option('--archived-to <path>', 'relative path where the source was moved (e.g. 原料/剪藏/xxx)')\n .option('--wiki-page <path...>', 'relative path of a wiki page created (can be repeated)')\n .option(\n '--log <body>',\n 'append a one-paragraph summary to corpus/log.md (CLI auto-fills url/archive/pages)',\n )\n .option('--status <status>', 'explicit status (started|completed|failed)')\n .option('--complete', 'shortcut: mark status=completed')\n .option('--fail <reason>', 'shortcut: mark status=failed with reason')\n .action(\n (\n url: string,\n opts: {\n step?: string;\n archivedTo?: string;\n wikiPage?: string[];\n log?: string;\n status?: string;\n complete?: boolean;\n fail?: string;\n },\n ) => {\n const corpus = requireCorpus();\n const patch: Parameters<typeof upsertIngestRecord>[2] = {};\n\n // --step accepts either a single step (\"archive\") or a comma-separated\n // chain (\"archive,wiki,backlink,lint\") so the skill can close the books\n // in one call instead of four CLI invocations.\n let parsedSteps: IngestStep[] = [];\n if (opts.step) {\n parsedSteps = opts.step\n .split(',')\n .map((s) => s.trim())\n .filter(Boolean) as IngestStep[];\n\n for (const s of parsedSteps) {\n if (!VALID_STEPS.includes(s)) {\n print(\n `[lorekit ingest record] invalid step: ${s}. valid: ${VALID_STEPS.join(', ')}`,\n );\n process.exitCode = 2;\n return;\n }\n }\n\n const existing = loadIngestState(corpus).ingests[url];\n const prev = existing?.stepsDone ?? [];\n // 去重：保留首次出现顺序。多次 record 链式调用追加同一 step 时不应重复，\n // 否则 ingest-state.json 的 stepsDone 会出现 `[archive, archive, wiki, wiki, backlink]`\n // 这种噪声，nextStepHint / pending 推断也会受影响。\n // 见批次 20b / P4-1 同模式（与 wikiPages 同步修）。\n patch.stepsDone = [...new Set([...prev, ...parsedSteps])];\n\n // status precedence: explicit flags win; otherwise, if the chain\n // includes 'lint' it implies completion.\n if (!opts.status && !opts.complete && !opts.fail) {\n if (parsedSteps.includes('lint')) patch.status = 'completed';\n else patch.status = 'started';\n }\n }\n if (opts.archivedTo) patch.archivedTo = opts.archivedTo;\n if (opts.wikiPage && opts.wikiPage.length > 0) {\n const existing = loadIngestState(corpus).ingests[url];\n const prev = existing?.wikiPages ?? [];\n // 去重：保留首次出现顺序。多次 record 调用追加同一 wiki 页面时不应重复，\n // 否则 log.md 的 `- **新建/更新页**` 块会出现重复条目。\n // 见 LEGACY P4-1 / 批次 20 的复现 smoke。\n patch.wikiPages = [...new Set([...prev, ...opts.wikiPage])];\n }\n if (opts.status) {\n const validStatuses: readonly IngestStatus[] = ['started', 'completed', 'failed'];\n if (!validStatuses.includes(opts.status as IngestStatus)) {\n print(\n `[lorekit ingest record] invalid --status: ${opts.status}. valid: ${validStatuses.join(', ')}`,\n );\n process.exitCode = 2;\n return;\n }\n patch.status = opts.status as IngestStatus;\n }\n if (opts.complete) patch.status = 'completed';\n if (opts.fail) {\n patch.status = 'failed';\n patch.error = opts.fail;\n }\n\n const updated = upsertIngestRecord(corpus, url, patch);\n\n // --log: append entry to corpus/log.md AFTER state is updated so the\n // entry can include the freshly-recorded archive path / wiki pages.\n let logAppended = false;\n if (opts.log) {\n try {\n appendLogEntry(corpus, updated, opts.log);\n logAppended = true;\n } catch (e) {\n print(`[lorekit ingest record] log append failed: ${(e as Error).message}`);\n }\n }\n\n print(\n `[lorekit ingest record] ${url}\\n` +\n ` status: ${updated.status} steps: ${updated.stepsDone.join(',') || '(none)'}` +\n (logAppended ? ' +log' : ''),\n );\n out(JSON.stringify({ ...updated, logAppended }));\n },\n );\n\n // ---------- check ----------\n // Pre-flight broken-link check for one or more wiki pages. Used by the\n // wiki-ingest skill RIGHT AFTER writing new pages, before recording the\n // backlink step. Catches `[[xxx]]` whose target page doesn't exist so the\n // skill can either create the target stub or downgrade `[[xxx]]` to plain\n // text — instead of leaving the corpus in a state lint will flag later.\n group\n .command('check <files...>')\n .description('Scan given wiki pages for broken [[wikilinks]] (pre-commit check)')\n .action((files: string[]) => {\n const corpus = requireCorpus();\n\n // Build the same lookup sets lint.ts uses (stems + bare names + folder\n // packages like 原料/剪藏/xxx/article.md → 原料/剪藏/xxx).\n const allMd = collectMdFiles(corpus);\n const stemSet = new Set<string>();\n const baseNameSet = new Set<string>();\n for (const file of allMd) {\n const rel = relative(corpus, file);\n const stem = rel.replace(/\\.md$/, '');\n stemSet.add(stem);\n baseNameSet.add(stem.split('/').pop()!);\n if (stem.endsWith('/article')) {\n const folder = stem.replace(/\\/article$/, '');\n stemSet.add(folder);\n baseNameSet.add(folder.split('/').pop()!);\n }\n }\n\n const stripCode = (s: string) => s.replace(/```[\\s\\S]*?```/g, '').replace(/`[^`\\n]+`/g, '');\n\n const broken: { file: string; link: string }[] = [];\n const okLinks: { file: string; link: string }[] = [];\n const checked: string[] = [];\n\n for (const f of files) {\n const abs = f.startsWith('/') ? f : join(process.cwd(), f);\n if (!existsSync(abs)) {\n print(`[lorekit ingest check] file not found: ${f}`);\n process.exitCode = 2;\n continue;\n }\n const rel = relative(corpus, abs);\n checked.push(rel);\n\n let content: string;\n try {\n content = stripCode(readFileSync(abs, 'utf-8'));\n } catch {\n continue;\n }\n\n const linkRe = /\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/g;\n let m: RegExpExecArray | null;\n const seen = new Set<string>();\n while ((m = linkRe.exec(content)) !== null) {\n const target = m[1].trim();\n if (seen.has(target)) continue;\n seen.add(target);\n if (stemSet.has(target) || baseNameSet.has(target)) {\n okLinks.push({ file: rel, link: target });\n } else {\n broken.push({ file: rel, link: target });\n }\n }\n }\n\n const result = { checked, ok: okLinks, broken };\n\n if (broken.length === 0) {\n print(\n `[lorekit ingest check] ${checked.length} file(s), ${okLinks.length} link(s) ok, no broken links`,\n );\n } else {\n print(`[lorekit ingest check] ${broken.length} broken link(s) found:`);\n for (const b of broken) {\n print(` ✗ ${b.file}: [[${b.link}]]`);\n }\n process.exitCode = 1;\n }\n out(JSON.stringify(result));\n });\n\n // ---------- forget ----------\n group\n .command('forget <url>')\n .description('Remove a record from the state (e.g. after manual cleanup)')\n .action((url: string) => {\n const corpus = requireCorpus();\n const removed = deleteIngestRecord(corpus, url);\n print(\n removed\n ? `[lorekit ingest forget] removed ${url}`\n : `[lorekit ingest forget] no record for ${url}`,\n );\n out(JSON.stringify({ removed, url }));\n });\n\n // ---------- reconcile ----------\n group\n .command('reconcile')\n .description('Back-fill state for pre-existing 原料/ pages missing a state record')\n .option('--dry-run', 'list what would be added without writing')\n .action((opts: { dryRun?: boolean }) => {\n const corpus = requireCorpus();\n const sourcesRoot = join(corpus, '原料');\n if (!existsSync(sourcesRoot)) {\n print('[lorekit ingest reconcile] no 原料/ directory');\n return;\n }\n const state = loadIngestState(corpus);\n const added: string[] = [];\n for (const mdPath of collectMdFiles(sourcesRoot)) {\n const fm = extractFrontmatter(mdPath);\n const url =\n (typeof fm.source_url === 'string' && fm.source_url) ||\n (typeof fm.url === 'string' && fm.url) ||\n '';\n if (!url) continue;\n if (state.ingests[url]) continue;\n\n const rel = relative(corpus, mdPath);\n const archivedTo = rel.replace(/\\/article\\.md$/, '');\n const sdRaw = fm.source_date;\n const sourceDate =\n typeof sdRaw === 'string'\n ? sdRaw\n : sdRaw instanceof Date\n ? sdRaw.toISOString().slice(0, 10)\n : undefined;\n const now = new Date().toISOString();\n state.ingests[url] = {\n url,\n title: typeof fm.title === 'string' ? fm.title : undefined,\n sourceDate,\n startedAt: now,\n updatedAt: now,\n status: 'completed',\n stepsDone: ['fetch', 'archive', 'wiki', 'lint'],\n archivedTo,\n };\n added.push(url);\n }\n if (!opts.dryRun && added.length > 0) saveIngestState(corpus, state);\n print(\n `[lorekit ingest reconcile] ${opts.dryRun ? 'would add' : 'added'} ${added.length} record(s)`,\n );\n for (const u of added) print(` + ${u}`);\n out(JSON.stringify({ dryRun: !!opts.dryRun, added }));\n });\n}\n","import type { Command } from 'commander';\nimport chalk from 'chalk';\nimport { mkdirSync, writeFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { requireCorpus } from '../lib/corpus.js';\nimport { ok, warn, err, print, out } from '../utils/logger.js';\nimport { runIndex } from './dir-index.js';\nimport { runVectorSync } from './vector.js';\nimport { runDoctor } from './doctor.js';\nimport { refreshRootIndex } from '../lib/root-index.js';\n\nexport interface SyncOptions {\n force?: boolean;\n model?: string;\n skipDoctor?: boolean;\n skipVector?: boolean;\n skipRootIndex?: boolean;\n json?: boolean;\n report?: boolean;\n}\n\ntype SyncStepStatus = 'ok' | 'skipped' | 'error';\n\ninterface SyncStepReport {\n status: SyncStepStatus;\n detail?: string;\n [key: string]: unknown;\n}\n\nexport interface SyncRunReport {\n status: 'ok' | 'error';\n startedAt: string;\n finishedAt: string;\n corpus: string;\n steps: {\n index: SyncStepReport;\n rootIndex: SyncStepReport;\n vector: SyncStepReport;\n doctor: SyncStepReport;\n };\n reportPath: string | null;\n errors: string[];\n}\n\nfunction createReport(corpus: string): SyncRunReport {\n return {\n status: 'ok',\n startedAt: new Date().toISOString(),\n finishedAt: '',\n corpus,\n steps: {\n index: { status: 'skipped' },\n rootIndex: { status: 'skipped' },\n vector: { status: 'skipped' },\n doctor: { status: 'skipped' },\n },\n reportPath: null,\n errors: [],\n };\n}\n\nfunction writeSyncReport(corpus: string, report: SyncRunReport): string {\n const dir = join(corpus, '.wiki', 'reports', 'sync');\n mkdirSync(dir, { recursive: true });\n const stamp = report.startedAt.replace(/[:.]/g, '-');\n const path = join(dir, `${stamp}.json`);\n report.reportPath = path;\n writeFileSync(path, JSON.stringify(report, null, 2) + '\\n', 'utf-8');\n return path;\n}\n\n/**\n * lorekit sync — 一条命令把「文本档案 + 向量库」对齐。\n *\n * 执行顺序（必须是这个顺序）：\n * 1a. runIndex：扫目录生成/刷新所有 _INDEX.md\n * → 向量 L1 的输入源必须先存在，才能被下一步读\n * 1b. refreshRootIndex：合并刷新 corpus/index.md 的四个受控区\n * → L0 向量的输入源；保留人类手写摘要，只追加新页 / 删失踪页\n * 2. runVectorSync（layered=true）：增量嵌入 chunk + 刷 L0/L1 向量\n * → L0 读 corpus/index.md 的 ## 分区\n * → L1 读每个 {dir}/_INDEX.md 的条目行\n * 3. runDoctor：sanity check，只报告不阻塞\n */\nexport async function runSync(corpus: string, opts: SyncOptions = {}): Promise<SyncRunReport> {\n const force = opts.force ?? false;\n const model = opts.model ?? 'bge-m3';\n const report = createReport(corpus);\n\n // Step 1a: 各子目录的 _INDEX.md\n print(chalk.cyan('── [1/3] index: refresh _INDEX.md ──'));\n try {\n const generated = runIndex(corpus);\n report.steps.index = { status: 'ok', generated };\n if (generated === 0) {\n warn('no indexable directories found');\n } else {\n ok(`refreshed ${generated} _INDEX.md file(s)`);\n }\n } catch (e) {\n report.status = 'error';\n report.steps.index = { status: 'error', error: (e as Error).message };\n report.errors.push(`index failed: ${(e as Error).message}`);\n err(`index failed: ${(e as Error).message}`);\n throw e;\n }\n\n // Step 1b: corpus 根的 index.md（受控区合并刷新）\n if (!opts.skipRootIndex) {\n try {\n const r = refreshRootIndex(corpus);\n const totals = r.perSection.reduce(\n (acc, s) => ({\n added: acc.added + s.added.length,\n removed: acc.removed + s.removed.length,\n kept: acc.kept + s.kept,\n }),\n { added: 0, removed: 0, kept: 0 },\n );\n report.steps.rootIndex = {\n status: 'ok',\n changed: r.changed,\n added: totals.added,\n removed: totals.removed,\n kept: totals.kept,\n };\n if (!r.changed) {\n ok(`index.md unchanged (${totals.kept} entries across managed sections)`);\n } else {\n ok(\n `index.md merged: +${totals.added} added, -${totals.removed} removed, ${totals.kept} kept`,\n );\n for (const s of r.perSection) {\n if (s.added.length === 0 && s.removed.length === 0) continue;\n for (const slug of s.added) print(` + ${slug}`);\n for (const slug of s.removed) print(` - ${slug} (file gone)`);\n }\n }\n } catch (e) {\n report.status = 'error';\n report.steps.rootIndex = { status: 'error', error: (e as Error).message };\n report.errors.push(`root index sync failed: ${(e as Error).message}`);\n err(`root index sync failed: ${(e as Error).message}`);\n throw e;\n }\n } else {\n report.steps.rootIndex = { status: 'skipped', reason: 'skip-root-index' };\n }\n print();\n\n // Step 2: 向量库（除非显式 --skip-vector）\n if (!opts.skipVector) {\n print(chalk.cyan('── [2/3] vector: sync chunks + L0/L1 ──'));\n try {\n const r = await runVectorSync(corpus, { force, model, layered: true });\n report.steps.vector = { status: 'ok', ...r, model };\n ok(`synced ${r.synced} files (${r.totalChunks} chunks), skipped ${r.skipped} unchanged`);\n } catch (e) {\n report.status = 'error';\n report.steps.vector = { status: 'error', error: (e as Error).message, model };\n report.errors.push(`vector sync failed: ${(e as Error).message}`);\n err(`vector sync failed: ${(e as Error).message}`);\n throw e;\n }\n print();\n } else {\n report.steps.vector = { status: 'skipped', reason: 'skip-vector' };\n }\n\n // Step 3: 健康体检（只报告不阻塞）\n if (!opts.skipDoctor) {\n print(chalk.cyan('── [3/3] doctor: sanity check ──'));\n const issues = await runDoctor(corpus);\n report.steps.doctor = { status: 'ok', issues };\n } else {\n report.steps.doctor = { status: 'skipped', reason: 'skip-doctor' };\n }\n\n report.finishedAt = new Date().toISOString();\n return report;\n}\n\nexport function syncCommand(program: Command): void {\n program\n .command('sync')\n .description('one-shot: refresh _INDEX.md → vector sync (layered) → doctor')\n .option('--force', 'full rebuild of vector index', false)\n .option('--model <name>', 'ollama model name', 'bge-m3')\n .option('--skip-doctor', 'skip the final doctor sanity check', false)\n .option('--skip-vector', 'only refresh _INDEX.md, skip vector sync', false)\n .option('--skip-root-index', 'skip merging corpus/index.md against disk', false)\n .option('--json', 'output machine-readable sync report', false)\n .option('--report', 'write .wiki/reports/sync/<timestamp>.json', false)\n .action(async (opts: SyncOptions) => {\n const corpus = requireCorpus();\n try {\n const report = await runSync(corpus, opts);\n if (opts.report) writeSyncReport(corpus, report);\n if (opts.json) out(JSON.stringify(report, null, 2));\n } catch {\n process.exit(1);\n }\n });\n}\n","/**\n * root-index.ts — sync `corpus/index.md` against the actual filesystem.\n *\n * Unlike `_INDEX.md` (auto-overwritten by `lorekit index`), the root index.md\n * carries human-curated one-line summaries that we deliberately preserve.\n * The sync logic is therefore a *merge*, not an overwrite:\n *\n * - File on disk + already in index → keep the human-written line as-is\n * - File on disk + missing from index → append a new line, summary auto-\n * extracted from `## Compiled Truth` first sentence\n * - In index + file deleted on disk → drop the line\n *\n * Only the four wiki sections are managed: 概念 / 实体 / 摘要 / 专题.\n * Any other heading (e.g. \"写作\", \"待研究问题\", \"空缺\") stays untouched.\n */\nimport { existsSync, readFileSync, readdirSync, writeFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { debug } from '../utils/logger.js';\n\nconst MANAGED_SECTIONS: { heading: string; subdir: string }[] = [\n { heading: '## 概念', subdir: '知识库/概念' },\n { heading: '## 实体', subdir: '知识库/实体' },\n { heading: '## 摘要', subdir: '知识库/摘要' },\n { heading: '## 专题', subdir: '知识库/专题' },\n];\n\ninterface DiskEntry {\n slug: string;\n summary: string;\n}\n\nfunction listEntriesInDir(corpus: string, subdir: string): DiskEntry[] {\n const dirPath = join(corpus, subdir);\n if (!existsSync(dirPath)) return [];\n const out: DiskEntry[] = [];\n for (const name of readdirSync(dirPath)) {\n if (name.startsWith('.')) continue;\n if (name === '_INDEX.md') continue;\n if (!name.endsWith('.md')) continue;\n const file = join(dirPath, name);\n const slug = `${subdir}/${name.replace(/\\.md$/, '')}`;\n out.push({ slug, summary: extractCompiledTruthSnippet(file) });\n }\n return out.sort((a, b) => a.slug.localeCompare(b.slug));\n}\n\n/**\n * Extract a short summary from `## Compiled Truth` — first non-blank paragraph,\n * capped at the first sentence terminator or 80 chars. Falls back to \"—\".\n *\n * Strips a leading `**bold**` lead-in (common pattern: \"**EntityName** is …\")\n * so the summary reads like a definition rather than a label.\n */\nfunction extractCompiledTruthSnippet(filePath: string): string {\n let content: string;\n try {\n content = readFileSync(filePath, 'utf-8');\n } catch (e) {\n // refreshRootIndex 会扫整个 知识库 子目录，单个文件读失败不阻塞批量；走 debug\n debug(`extractCompiledTruthSnippet(${filePath}) failed: ${(e as Error).message}`);\n return '—';\n }\n\n // Skip frontmatter\n const body = content.replace(/^---\\n[\\s\\S]*?\\n---\\n/, '');\n\n // Find ## Compiled Truth section\n const sectionMatch = body.match(/##\\s*Compiled Truth\\s*\\n+([\\s\\S]*?)(?=\\n---|\\n##\\s|$)/);\n if (!sectionMatch) return '—';\n\n // First non-blank line/paragraph\n const para = sectionMatch[1]\n .split('\\n')\n .map((l) => l.trim())\n .find((l) => l.length > 0);\n if (!para) return '—';\n\n // Strip leading **bold** label\n const cleaned = para.replace(/^\\*\\*([^*]+)\\*\\*\\s*/, '$1 ');\n\n // First sentence (Chinese 。 or English .) within 80 chars\n const sentenceMatch = cleaned.match(/^(.{1,80}?[。.！？!?])/);\n if (sentenceMatch) return sentenceMatch[1];\n\n return cleaned.slice(0, 80) + (cleaned.length > 80 ? '…' : '');\n}\n\ninterface MergeResult {\n added: string[];\n removed: string[];\n kept: number;\n}\n\n/**\n * Merge one section in-place. Returns the new content + bookkeeping.\n */\nfunction mergeSection(\n content: string,\n heading: string,\n onDisk: DiskEntry[],\n): { newContent: string; result: MergeResult } {\n const lines = content.split('\\n');\n const startIdx = lines.findIndex((l) => l.trim() === heading);\n if (startIdx === -1) {\n // Section header missing — leave content untouched\n return { newContent: content, result: { added: [], removed: [], kept: 0 } };\n }\n\n // Find end of section: next \"## \" heading or EOF\n let endIdx = lines.length;\n for (let i = startIdx + 1; i < lines.length; i++) {\n if (lines[i].startsWith('## ')) {\n endIdx = i;\n break;\n }\n }\n\n const sectionBody = lines.slice(startIdx + 1, endIdx);\n const linkRe = /^-\\s+\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/;\n\n const onDiskSlugs = new Set(onDisk.map((e) => e.slug));\n const seenInIndex = new Set<string>();\n const removed: string[] = [];\n const kept: string[] = [];\n\n for (const line of sectionBody) {\n const trimmed = line.trim();\n // Strip blank lines and the placeholder; we re-add canonical padding below.\n if (trimmed === '' || trimmed === '（暂无条目）') continue;\n\n const m = line.match(linkRe);\n if (m) {\n const slug = m[1].trim();\n if (onDiskSlugs.has(slug)) {\n seenInIndex.add(slug);\n kept.push(line);\n } else {\n removed.push(slug);\n }\n } else {\n // preserve any non-link manual annotation (e.g. \"> note about this section\")\n kept.push(line);\n }\n }\n\n // Append entries on disk that aren't in the index yet\n const added: string[] = [];\n for (const e of onDisk) {\n if (!seenInIndex.has(e.slug)) {\n kept.push(`- [[${e.slug}]] — ${e.summary}`);\n added.push(e.slug);\n }\n }\n\n const sectionContentLines = kept.length === 0 ? ['', '（暂无条目）', ''] : ['', ...kept, ''];\n\n const newLines = [\n ...lines.slice(0, startIdx + 1),\n ...sectionContentLines,\n ...lines.slice(endIdx),\n ];\n\n return {\n newContent: newLines.join('\\n'),\n result: { added, removed, kept: seenInIndex.size },\n };\n}\n\nexport interface RootIndexSyncResult {\n filePath: string;\n changed: boolean;\n perSection: { heading: string; added: string[]; removed: string[]; kept: number }[];\n}\n\nexport function refreshRootIndex(corpus: string): RootIndexSyncResult {\n const indexPath = join(corpus, 'index.md');\n if (!existsSync(indexPath)) {\n return { filePath: indexPath, changed: false, perSection: [] };\n }\n\n const before = readFileSync(indexPath, 'utf-8');\n let content = before;\n const perSection: RootIndexSyncResult['perSection'] = [];\n\n for (const sec of MANAGED_SECTIONS) {\n const onDisk = listEntriesInDir(corpus, sec.subdir);\n const { newContent, result } = mergeSection(content, sec.heading, onDisk);\n content = newContent;\n perSection.push({ heading: sec.heading, ...result });\n }\n\n const changed = content !== before;\n if (changed) writeFileSync(indexPath, content, 'utf-8');\n\n return { filePath: indexPath, changed, perSection };\n}\n","/**\n * obsidian-tune.ts — 老用户升级触达 + 维护 .obsidian/graph.json filter（批次 26）\n *\n * 三种模式：\n * - 默认：检查 filter 完整性，diff 输出到 stderr，exit 0/1 便于脚本判断\n * - --write：备份原文件后应用推荐 filter（先 cp .bak.<ts> 再覆盖）\n * - --print：把推荐 filter JSON 打到 stdout，便于 `lorekit obsidian-tune --print > .obsidian/graph.json`\n *\n * 推荐 filter SSOT 在 `templates/default-corpus/.obsidian/graph.json`，\n * 由 `lib/obsidian.ts` 统一读取（避免和模板漂移）。\n */\nimport type { Command } from 'commander';\nimport { cpSync, existsSync, mkdirSync, writeFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { ok, info, warn, err, print, out } from '../utils/logger.js';\nimport { findCorpus } from '../lib/corpus.js';\nimport {\n getRecommendedFilter,\n getRecommendedGraphConfig,\n readCorpusFilter,\n isFilterComplete,\n missingTokens,\n} from '../lib/obsidian.js';\nimport { tsCompact } from '../lib/date.js';\n\ninterface TuneOpts {\n write?: boolean;\n print?: boolean;\n}\n\nfunction runPrint(): void {\n // 推荐 graph.json 完整体走 stdout（管道友好）\n const cfg = getRecommendedGraphConfig();\n out(JSON.stringify(cfg, null, 2));\n}\n\nfunction runCheck(corpus: string): number {\n const recommended = getRecommendedFilter();\n const cur = readCorpusFilter(corpus);\n\n if (!cur.exists) {\n warn('.obsidian/graph.json 缺失');\n print('');\n print('推荐 filter（含 _归档 / 反馈 + 完整根元数据）:');\n print(` ${recommended}`);\n print('');\n print('应用：lorekit obsidian-tune --write');\n return 1;\n }\n\n if (isFilterComplete(cur.search, recommended)) {\n ok('.obsidian/graph.json filter 完整');\n return 0;\n }\n\n warn('.obsidian/graph.json filter 不完整');\n print('');\n print('当前 filter（如有）:');\n print(` ${cur.search ?? '(空)'}`);\n print('');\n print('推荐 filter（含 _归档 / 反馈 + 完整根元数据）:');\n print(` ${recommended}`);\n print('');\n print('缺少的 token:');\n for (const t of missingTokens(cur.search, recommended)) {\n print(` - ${t}`);\n }\n print('');\n print('应用：lorekit obsidian-tune --write');\n return 1;\n}\n\nfunction runWrite(corpus: string): number {\n const dest = join(corpus, '.obsidian', 'graph.json');\n const destDir = join(corpus, '.obsidian');\n if (!existsSync(destDir)) mkdirSync(destDir, { recursive: true });\n\n if (existsSync(dest)) {\n // 先备份再写 —— 红线：绝不许覆盖用户文件无备份\n const backup = `${dest}.bak.${tsCompact()}`;\n cpSync(dest, backup);\n ok(`备份 .obsidian/graph.json → ${backup}`);\n }\n\n // 直接落盘推荐配置（完整对象，不只是 search 字段）\n const cfg = getRecommendedGraphConfig();\n writeFileSync(dest, JSON.stringify(cfg, null, 2) + '\\n', 'utf-8');\n ok('写入推荐 filter');\n info('请关掉 Obsidian「关系图谱」标签页再重开生效');\n return 0;\n}\n\nexport function obsidianTuneCommand(program: Command) {\n program\n .command('obsidian-tune')\n .description('check / apply recommended Obsidian graph filter for the corpus')\n .option('--write', 'apply recommended filter (backs up existing graph.json first)')\n .option('--print', 'print recommended graph.json to stdout (pipe-friendly)')\n .action((opts: TuneOpts) => {\n // --print 不依赖 corpus，纯打印模板\n if (opts.print) {\n runPrint();\n process.exitCode = 0;\n return;\n }\n\n const corpus = findCorpus();\n if (!corpus) {\n err('not inside a corpus (no .wiki/ or CLAUDE.md found)');\n process.exitCode = 2;\n return;\n }\n\n if (opts.write) {\n process.exitCode = runWrite(corpus);\n } else {\n process.exitCode = runCheck(corpus);\n }\n });\n}\n","import type { Command } from 'commander';\nimport { existsSync, mkdirSync, readFileSync, renameSync, writeFileSync } from 'node:fs';\nimport { basename, dirname, isAbsolute, join, relative, resolve, sep } from 'node:path';\nimport matter from 'gray-matter';\nimport trash from 'trash';\nimport { collectMdFiles, extractFrontmatter, findSourceByUrl, requireCorpus } from '../lib/corpus.js';\nimport { loadIngestState, saveIngestState } from '../lib/ingest-state.js';\nimport { todayYMDShanghai, tsCompact } from '../lib/date.js';\nimport { createSnapshot } from './snapshot.js';\nimport { runSync } from './sync.js';\nimport { printLintReport, runLint } from './lint.js';\nimport { pruneVectorDbMissingFiles } from '../lib/vectordb/prune.js';\nimport { bad, err, ok, out, print } from '../utils/logger.js';\n\ninterface TrashTarget {\n rel: string;\n abs: string;\n reason: 'target' | 'source' | 'summary';\n}\n\ninterface PageChange {\n file: string;\n removedLines: string[];\n removedSources: string[];\n sourceCountBefore?: number;\n sourceCountAfter?: number;\n}\n\ninterface ReviewItem {\n file: string;\n section: 'Compiled Truth';\n text: string;\n}\n\ninterface RemovalPlan {\n input: string;\n apply: boolean;\n trashTargets: TrashTarget[];\n pageChanges: PageChange[];\n reviewItems: ReviewItem[];\n ingestRecords: string[];\n aliases: string[];\n snapshot?: string;\n syncSkippedVector?: boolean;\n vectorPruned?: number;\n lintIssues?: number;\n}\n\nfunction isUrl(input: string): boolean {\n return /^https?:\\/\\//i.test(input);\n}\n\nfunction toSlash(p: string): string {\n return p.split(sep).join('/');\n}\n\nfunction stripMd(rel: string): string {\n return rel.replace(/\\.md$/, '');\n}\n\nfunction normalizeRel(rel: string): string {\n return toSlash(rel).replace(/^\\.\\//, '').replace(/\\/+/g, '/');\n}\n\nfunction withinCorpus(corpus: string, abs: string): boolean {\n const rel = relative(corpus, abs);\n return rel === '' || (!rel.startsWith('..') && !isAbsolute(rel));\n}\n\nfunction resolveInputPath(corpus: string, input: string): string | null {\n const candidates = [];\n const rawAbs = isAbsolute(input) ? input : join(corpus, input);\n candidates.push(rawAbs);\n if (!input.endsWith('.md')) candidates.push(`${rawAbs}.md`);\n for (const candidate of candidates) {\n const abs = resolve(candidate);\n if (withinCorpus(corpus, abs) && existsSync(abs)) return abs;\n }\n return null;\n}\n\nfunction relFromAbs(corpus: string, abs: string): string {\n return normalizeRel(relative(corpus, abs));\n}\n\nfunction aliasesForRel(rel: string): string[] {\n const aliases = new Set<string>();\n const normalized = normalizeRel(rel);\n aliases.add(stripMd(normalized));\n if (normalized.endsWith('/article.md')) {\n aliases.add(stripMd(normalized).replace(/\\/article$/, ''));\n }\n return [...aliases];\n}\n\nfunction readText(abs: string): string {\n return readFileSync(abs, 'utf-8');\n}\n\nfunction extractWikilinks(content: string): string[] {\n const links: string[] = [];\n const linkRe = /\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/g;\n let m: RegExpExecArray | null;\n while ((m = linkRe.exec(content)) !== null) links.push(m[1].trim());\n return links;\n}\n\nfunction addExistingTarget(\n corpus: string,\n targets: Map<string, TrashTarget>,\n relOrAbs: string,\n reason: TrashTarget['reason'],\n): void {\n const abs = isAbsolute(relOrAbs) ? relOrAbs : join(corpus, relOrAbs);\n if (!existsSync(abs)) return;\n const rel = relFromAbs(corpus, abs);\n targets.set(rel, { rel, abs, reason });\n}\n\nfunction addSourceTarget(\n corpus: string,\n targets: Map<string, TrashTarget>,\n relOrAbs: string,\n): void {\n const abs = isAbsolute(relOrAbs) ? relOrAbs : join(corpus, relOrAbs);\n if (!existsSync(abs)) return;\n\n const rel = relFromAbs(corpus, abs);\n if (rel.endsWith('/article.md')) {\n addExistingTarget(corpus, targets, dirname(abs), 'source');\n return;\n }\n\n addExistingTarget(corpus, targets, abs, 'source');\n\n if (rel.endsWith('.md')) {\n const assetsDir = abs.replace(/\\.md$/, '.assets');\n addExistingTarget(corpus, targets, assetsDir, 'source');\n }\n}\n\nfunction sourceCandidatesForSlug(corpus: string, slug: string): string[] {\n return [\n join(corpus, slug),\n join(corpus, `${slug}.md`),\n join(corpus, slug, 'article.md'),\n ];\n}\n\nfunction collectSourceUrls(corpus: string, targets: Map<string, TrashTarget>): string[] {\n const urls = new Set<string>();\n for (const target of targets.values()) {\n const files = existsSync(target.abs) && target.rel.endsWith('.md')\n ? [target.abs]\n : collectMdFiles(target.abs);\n for (const file of files) {\n const fm = extractFrontmatter(file);\n if (typeof fm.source_url === 'string') urls.add(fm.source_url);\n if (typeof fm.url === 'string') urls.add(fm.url);\n }\n }\n return [...urls];\n}\n\nfunction addSourcesFromSummary(\n corpus: string,\n targets: Map<string, TrashTarget>,\n summaryAbs: string,\n): void {\n const parsed = matter(readText(summaryAbs));\n const sources = Array.isArray(parsed.data.sources) ? parsed.data.sources : [];\n for (const source of sources) {\n if (typeof source !== 'string') continue;\n for (const candidate of sourceCandidatesForSlug(corpus, source)) {\n if (existsSync(candidate)) addSourceTarget(corpus, targets, candidate);\n }\n }\n\n for (const link of extractWikilinks(parsed.content)) {\n if (!link.startsWith('原料/')) continue;\n for (const candidate of sourceCandidatesForSlug(corpus, link)) {\n if (existsSync(candidate)) addSourceTarget(corpus, targets, candidate);\n }\n }\n}\n\nfunction addSummariesReferencingSources(\n corpus: string,\n targets: Map<string, TrashTarget>,\n aliases: Set<string>,\n): void {\n for (const file of collectMdFiles(join(corpus, '知识库', '摘要'))) {\n const rel = relFromAbs(corpus, file);\n if (targets.has(rel)) continue;\n const content = readText(file);\n if ([...aliases].some((alias) => content.includes(`[[${alias}`))) {\n addExistingTarget(corpus, targets, file, 'summary');\n addSourcesFromSummary(corpus, targets, file);\n }\n }\n}\n\nfunction compiledTruthSnippets(content: string, aliases: Set<string>, input: string): string[] {\n const body = content.replace(/^---\\n[\\s\\S]*?\\n---\\n/, '');\n const match = body.match(/##\\s*Compiled Truth\\s*\\n+([\\s\\S]*?)(?=\\n##\\s|$)/);\n if (!match) return [];\n return match[1]\n .split(/\\n{2,}/)\n .map((p) => p.trim())\n .filter((p) => {\n if (!p) return false;\n if (isUrl(input) && p.includes(input)) return true;\n return [...aliases].some((alias) => p.includes(`[[${alias}`));\n });\n}\n\nfunction rewritePageForRemoval(\n corpus: string,\n file: string,\n aliases: Set<string>,\n): { change: PageChange | null; nextContent: string } {\n const rel = relFromAbs(corpus, file);\n const parsed = matter(readText(file));\n const removedSources: string[] = [];\n let sourceCountBefore: number | undefined;\n let sourceCountAfter: number | undefined;\n\n if (Array.isArray(parsed.data.sources)) {\n const nextSources = parsed.data.sources.filter((source: unknown) => {\n if (typeof source !== 'string') return true;\n const remove = aliases.has(stripMd(normalizeRel(source)));\n if (remove) removedSources.push(source);\n return !remove;\n });\n if (removedSources.length > 0) {\n parsed.data.sources = nextSources;\n const rawCount = parsed.data.source_count;\n const numeric =\n typeof rawCount === 'number'\n ? rawCount\n : typeof rawCount === 'string'\n ? Number.parseInt(rawCount, 10)\n : Number.NaN;\n if (Number.isFinite(numeric)) {\n sourceCountBefore = numeric;\n sourceCountAfter = Math.max(0, numeric - new Set(removedSources).size);\n parsed.data.source_count = sourceCountAfter;\n }\n parsed.data.updated = todayYMDShanghai();\n }\n }\n\n const removedLines: string[] = [];\n const nextLines = parsed.content.split('\\n').filter((line) => {\n const trimmed = line.trim();\n const hasTargetLink = [...aliases].some((alias) => line.includes(`[[${alias}`));\n const removable = hasTargetLink && /^[-*]\\s+/.test(trimmed);\n if (removable) {\n removedLines.push(line);\n return false;\n }\n return true;\n });\n if (removedLines.length > 0) parsed.data.updated = todayYMDShanghai();\n\n const changed = removedLines.length > 0 || removedSources.length > 0;\n const nextContent = changed ? matter.stringify(nextLines.join('\\n'), parsed.data) : readText(file);\n\n return {\n nextContent,\n change: changed\n ? {\n file: rel,\n removedLines,\n removedSources,\n sourceCountBefore,\n sourceCountAfter,\n }\n : null,\n };\n}\n\nfunction buildRemovalPlan(corpus: string, input: string, apply: boolean): RemovalPlan {\n const targets = new Map<string, TrashTarget>();\n const ingestRecords = new Set<string>();\n\n if (isUrl(input)) {\n const state = loadIngestState(corpus);\n const record = state.ingests[input];\n ingestRecords.add(input);\n if (record?.archivedTo) addSourceTarget(corpus, targets, record.archivedTo);\n for (const page of record?.wikiPages ?? []) {\n if (normalizeRel(page).startsWith('知识库/摘要/')) {\n const pageAbs = join(corpus, page);\n addExistingTarget(corpus, targets, pageAbs, 'summary');\n if (existsSync(pageAbs)) addSourcesFromSummary(corpus, targets, pageAbs);\n }\n }\n const source = findSourceByUrl(corpus, input);\n if (source) addSourceTarget(corpus, targets, source);\n } else {\n const abs = resolveInputPath(corpus, input);\n if (!abs) throw new Error(`target not found inside corpus: ${input}`);\n const rel = relFromAbs(corpus, abs);\n if (rel.startsWith('原料/')) {\n addSourceTarget(corpus, targets, abs);\n } else if (rel.startsWith('知识库/摘要/')) {\n addExistingTarget(corpus, targets, abs, 'summary');\n addSourcesFromSummary(corpus, targets, abs);\n } else {\n addExistingTarget(corpus, targets, abs, 'target');\n }\n }\n\n let aliases = new Set([...targets.keys()].flatMap((rel) => aliasesForRel(rel)));\n addSummariesReferencingSources(corpus, targets, aliases);\n aliases = new Set([...targets.keys()].flatMap((rel) => aliasesForRel(rel)));\n\n for (const url of collectSourceUrls(corpus, targets)) ingestRecords.add(url);\n\n const trashedRels = new Set(targets.keys());\n const pageChanges: PageChange[] = [];\n const reviewItems: ReviewItem[] = [];\n for (const file of collectMdFiles(corpus)) {\n const rel = relFromAbs(corpus, file);\n if (trashedRels.has(rel)) continue;\n if ([...trashedRels].some((targetRel) => rel.startsWith(`${targetRel}/`))) continue;\n\n const { change } = rewritePageForRemoval(corpus, file, aliases);\n if (change) pageChanges.push(change);\n for (const text of compiledTruthSnippets(readText(file), aliases, input)) {\n reviewItems.push({ file: rel, section: 'Compiled Truth', text });\n }\n }\n\n return {\n input,\n apply,\n trashTargets: [...targets.values()].sort((a, b) => a.rel.localeCompare(b.rel)),\n pageChanges,\n reviewItems,\n ingestRecords: [...ingestRecords],\n aliases: [...aliases].sort(),\n };\n}\n\nasync function moveToTrash(paths: string[]): Promise<void> {\n const testTrashDir = process.env.LOREKIT_TEST_TRASH_DIR;\n if (testTrashDir) {\n mkdirSync(testTrashDir, { recursive: true });\n for (const p of paths) {\n if (!existsSync(p)) continue;\n const dest = join(testTrashDir, `${tsCompact()}-${basename(p)}`);\n renameSync(p, dest);\n }\n return;\n }\n await trash(paths, { glob: false });\n}\n\nfunction applyPageChanges(corpus: string, plan: RemovalPlan): void {\n const aliases = new Set(plan.aliases);\n for (const change of plan.pageChanges) {\n const file = join(corpus, change.file);\n const { nextContent } = rewritePageForRemoval(corpus, file, aliases);\n writeFileSync(file, nextContent, 'utf-8');\n }\n}\n\nfunction forgetIngestRecords(corpus: string, urls: string[]): void {\n if (urls.length === 0) return;\n const state = loadIngestState(corpus);\n let changed = false;\n for (const url of urls) {\n if (state.ingests[url]) {\n delete state.ingests[url];\n changed = true;\n }\n }\n if (changed) saveIngestState(corpus, state);\n}\n\nfunction printPlan(plan: RemovalPlan): void {\n print(`lorekit remove — ${plan.apply ? 'apply' : 'dry-run'}\\n`);\n\n print(`将移动到系统回收站 (${plan.trashTargets.length})`);\n for (const target of plan.trashTargets) {\n print(` - ${target.rel} (${target.reason})`);\n }\n if (plan.trashTargets.length === 0) print(' - （无）');\n print();\n\n print(`将修改页面 (${plan.pageChanges.length})`);\n for (const change of plan.pageChanges) {\n print(` - ${change.file}`);\n if (change.removedSources.length > 0) {\n print(` sources: -${change.removedSources.length}`);\n }\n if (change.sourceCountBefore !== undefined && change.sourceCountAfter !== undefined) {\n print(` source_count: ${change.sourceCountBefore} -> ${change.sourceCountAfter}`);\n }\n if (change.removedLines.length > 0) {\n print(` lines: -${change.removedLines.length}`);\n }\n }\n if (plan.pageChanges.length === 0) print(' - （无）');\n print();\n\n if (plan.reviewItems.length > 0) {\n print(`需人工复核 Compiled Truth (${plan.reviewItems.length})`);\n for (const item of plan.reviewItems) {\n print(` - ${item.file}: ${item.text.slice(0, 120)}`);\n }\n print();\n }\n\n if (!plan.apply) {\n print('dry-run only. Run again with --apply to move files to OS Trash.');\n }\n}\n\nexport function removeCommand(program: Command): void {\n program\n .command('remove')\n .argument('<target>', 'URL or corpus-relative path to remove')\n .option('--apply', 'execute the removal; default is dry-run', false)\n .option('--json', 'emit a machine-readable JSON report', false)\n .description('safely remove a source/wiki page and provenance-linked references')\n .action(async (target: string, opts: { apply?: boolean; json?: boolean }) => {\n const corpus = requireCorpus();\n let plan: RemovalPlan;\n try {\n plan = buildRemovalPlan(corpus, target, !!opts.apply);\n } catch (e) {\n err((e as Error).message);\n process.exitCode = 2;\n return;\n }\n\n if (!opts.json) printPlan(plan);\n if (opts.json && !opts.apply) out(JSON.stringify(plan));\n if (!opts.apply) return;\n\n if (plan.trashTargets.length === 0 && plan.pageChanges.length === 0) {\n bad('nothing to remove');\n process.exitCode = 1;\n if (opts.json) out(JSON.stringify(plan));\n return;\n }\n\n try {\n const snapshot = await createSnapshot(corpus, { tag: 'remove' });\n plan.snapshot = snapshot;\n ok(`snapshot saved: ${snapshot}`);\n\n applyPageChanges(corpus, plan);\n forgetIngestRecords(corpus, plan.ingestRecords);\n await moveToTrash(plan.trashTargets.map((t) => t.abs));\n ok(`moved ${plan.trashTargets.length} item(s) to OS Trash`);\n\n const hasVectorDb = existsSync(join(corpus, '.wiki', 'vector.sqlite'));\n if (hasVectorDb) {\n plan.vectorPruned = await pruneVectorDbMissingFiles(corpus);\n if (plan.vectorPruned > 0) ok(`vector pruned ${plan.vectorPruned} missing file(s)`);\n }\n\n const skipVector = !hasVectorDb || process.env.LOREKIT_TEST_SKIP_VECTOR_SYNC === '1';\n plan.syncSkippedVector = skipVector;\n await runSync(corpus, { skipVector });\n\n const issues = runLint(corpus);\n plan.lintIssues = issues.length;\n printLintReport(corpus, issues);\n } catch (e) {\n err((e as Error).message);\n process.exitCode = 1;\n }\n\n if (opts.json) out(JSON.stringify(plan));\n });\n}\n","import type { Command } from 'commander';\nimport { requireCorpus } from '../lib/corpus.js';\nimport {\n doctorGbrain,\n exportForGbrain,\n getGbrainStatus,\n queryGbrain,\n syncGbrain,\n} from '../lib/integrations/gbrain.js';\nimport { bad, info, ok, out, print, warn } from '../utils/logger.js';\n\nfunction printJson(result: unknown): void {\n out(JSON.stringify(result, null, 2));\n}\n\nexport function gbrainCommand(program: Command): void {\n const cmd = program\n .command('gbrain')\n .description('optional GBrain read-only integration');\n\n cmd\n .command('status')\n .description('check whether GBrain is installed')\n .option('--json', 'output json', false)\n .action(async (opts: { json?: boolean }) => {\n const result = await getGbrainStatus();\n if (opts.json) {\n printJson(result);\n return;\n }\n if (result.installed) {\n ok(`GBrain installed: ${result.version ?? result.binary}`);\n } else {\n warn('GBrain is not installed');\n print(result.installHint);\n }\n });\n\n cmd\n .command('export')\n .description('export lorekit 知识库/ pages into a GBrain-safe staging directory')\n .option('--out <dir>', 'export directory relative to corpus')\n .option('--dry-run', 'preview only; do not write files', false)\n .option('--json', 'output json', false)\n .action((opts: { out?: string; dryRun?: boolean; json?: boolean }) => {\n const corpus = requireCorpus();\n const result = exportForGbrain(corpus, { out: opts.out, dryRun: opts.dryRun });\n if (opts.json) {\n printJson(result);\n return;\n }\n if (result.dryRun) {\n info(`would export ${result.pagesExported} page(s) to ${result.exportDir}`);\n } else {\n ok(`exported ${result.pagesExported} page(s) to ${result.exportDir}`);\n }\n if (result.pagesSkipped > 0) warn(`skipped ${result.pagesSkipped} index file(s)`);\n for (const w of result.warnings) warn(w);\n });\n\n cmd\n .command('sync')\n .description('export lorekit pages and run gbrain import on the staging directory')\n .option('--dry-run', 'preview only; do not write export files or call gbrain import', false)\n .option('--json', 'output json', false)\n .option(\n '--export-even-if-missing',\n 'refresh staging export even when the gbrain binary is missing',\n false,\n )\n .action(async (opts: { dryRun?: boolean; json?: boolean; exportEvenIfMissing?: boolean }) => {\n const corpus = requireCorpus();\n const result = await syncGbrain(corpus, opts);\n if (opts.json) {\n printJson(result);\n } else if (result.status === 'ok') {\n if (result.dryRun) {\n info(`would export ${result.export?.pagesExported ?? 0} page(s); gbrain import skipped`);\n } else {\n ok(`gbrain sync complete: ${result.export?.pagesExported ?? 0} page(s) exported`);\n }\n } else {\n bad(`gbrain sync failed: ${result.errors.join('; ')}`);\n }\n process.exitCode = result.status === 'ok' ? 0 : 1;\n });\n\n cmd\n .command('doctor')\n .description('check GBrain integration health')\n .option('--json', 'output json', false)\n .action(async (opts: { json?: boolean }) => {\n const corpus = requireCorpus();\n const result = await doctorGbrain(corpus);\n if (opts.json) {\n printJson(result);\n } else {\n if (result.status === 'ok') ok('GBrain integration healthy');\n for (const issue of result.issues) {\n const line = `${issue.message}. ${issue.recommendation}`;\n if (issue.severity === 'error') bad(line);\n else warn(line);\n }\n }\n process.exitCode = result.status === 'error' ? 1 : 0;\n });\n\n cmd\n .command('query')\n .argument('<text>', 'query text')\n .description('run gbrain query without writing back to lorekit')\n .option('--json', 'output json', false)\n .option('--no-stale-check', 'skip corpus export/sync freshness guard')\n .action(async (text: string, opts: { json?: boolean; staleCheck?: boolean }) => {\n const corpus = requireCorpus();\n const result = await queryGbrain(corpus, text, { staleCheck: opts.staleCheck !== false });\n if (opts.json) {\n printJson(result);\n } else {\n info(result.message);\n for (const w of result.warnings) warn(w);\n if (result.gbrain?.stdout) print(result.gbrain.stdout.trim());\n if (result.gbrain?.stderr) warn(result.gbrain.stderr.trim());\n if (result.status === 'error') bad(result.errors.join('; '));\n }\n process.exitCode = result.status === 'ok' ? 0 : 1;\n 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* paths.ts — corpus 路径 / 排除规则的单一事实源。\n *\n * 历史背景（LEGACY P1-1）：corpus.ts / vectordb.ts / commands/{index,lint,snapshot}\n * 各自维护独立的\"排除目录\"集合，加新顶层目录时容易漏改其中一处。本文件把所有\n * 集合集中起来，下游 import 即可。\n *\n * CONVENTIONS Do Not #11：建 paths.ts 后不许再硬编码新的\"排除目录\"常量。\n *\n * 命名约定：\n * - alwaysExclude* — 全局通用，所有 collect / scan 都该跳过\n * - vectorInclude* — 仅向量库索引时纳入\n * - vectorExclude* — 仅向量库索引时排除\n * - lintSkip* — 仅 lint 时跳过\n * - indexExclude* — 仅 dir-index (`_INDEX.md`) 生成时跳过\n * - snapshotExclude* — 仅 snapshot 时跳过\n *\n * 后续批次（6/7）会继续往本文件追加 set；先生不要在其他文件里\"另起炉灶\"。\n */\n\n/**\n * 全局排除：任何 markdown 收集都该跳过的文件名（不是目录）。\n * - .gitkeep / .DS_Store：环境噪声\n * - _INDEX.md：`lorekit index` 自动生成的目录索引文件，不是用户内容\n */\nexport const alwaysExcludeNames: ReadonlySet<string> = new Set([\n '.gitkeep',\n '.DS_Store',\n '_INDEX.md',\n]);\n\n// ---------------------------------------------------------------------------\n// 向量库索引（vectordb.ts）专用规则\n// ---------------------------------------------------------------------------\n\n/**\n * 向量库纳入索引的目录前缀。任何文件 rel path 必须以下列之一开头才参与 chunk\n * embedding。注意：原料里只索引\"长文\"类（文章 / 书籍 / 会议）；剪藏 / 录音\n * 走另外的路径（embed 摘要而非全文）。\n */\nexport const vectorIncludeDirs: readonly string[] = [\n '知识库',\n '每日',\n '写作',\n '原料/文章',\n '原料/书籍',\n '原料/会议',\n];\n\n/**\n * 向量库排除目录前缀。先 exclude 检查再 include 检查 — exclude 规则胜出。\n * - `_工作台` / `_archive` / `_归档`：过渡区 / 冷数据，不该污染向量空间\n * - `原料/录音` / `原料/剪藏`：走摘要 embedding，不索引全文 chunk\n * - `反馈` / `系统` / `.wiki`：流程 / 规范 / 元数据，跟知识检索无关\n * - `输出`：LLM 产物（问答 / 文章 / 幻灯片 / 图表 / 体检报告 / 空缺分析），\n * 是二次加工产物不该回流进向量空间（否则会和原始 wiki 页形成互相加强的回音）\n *\n * 注：`.assets/`（各 markdown 的图片子目录）**不需要在此单独列**——它一定是\n * 某个父目录的子目录，随父目录的 include / exclude 规则自动生效。\n */\nexport const vectorExcludePrefixes: readonly string[] = [\n '_工作台',\n '_archive',\n '_归档',\n '原料/录音',\n '原料/剪藏',\n '反馈',\n '系统',\n '输出',\n '.wiki',\n];\n\n/**\n * 向量库排除文件名（不含 `_INDEX.md` —— 注意跟 alwaysExcludeNames 不同）。\n * `_INDEX.md` 由 buildLayeredIndex 通过 L1 路径单独处理（embed 条目摘要），\n * 不应进 chunk 池；但当前 vectordb.shouldIndex 没有显式排除它，依赖 INCLUDE_DIRS\n * 圈定边界。本集合**严格保留迁移前行为**，不在本批改语义。\n */\nexport const vectorExcludeNames: ReadonlySet<string> = new Set(['.gitkeep', '.DS_Store']);\n\n// ---------------------------------------------------------------------------\n// `lorekit index` 专用规则（生成 _INDEX.md）\n// ---------------------------------------------------------------------------\n\n/**\n * `lorekit index` 不为下列前缀目录生成 `_INDEX.md`。\n * 系统 / 反馈 / 工作台 / 归档 / git / .wiki 都不是用户内容书架。\n */\nexport const indexExcludeDirPrefixes: readonly string[] = [\n '.wiki',\n '.git',\n '_归档',\n '_工作台',\n '系统',\n '反馈',\n];\n\n/**\n * 判断给定 corpus 内相对路径是否落在\"不索引\"前缀里。\n * 对外暴露的小工具（doctor.ts / commands/dir-index.ts 都用）。\n */\nexport function isIndexExcluded(rel: string): boolean {\n for (const prefix of indexExcludeDirPrefixes) {\n if (rel === prefix || rel.startsWith(prefix + '/')) return true;\n }\n return false;\n}\n\n/**\n * 判断目录是否\"目录包装式原料\"——即 `<dir>/article.md` 存在。\n * 此类目录在生成 `_INDEX.md` 时被当作\"一个条目\"而非容器，不递归进入。\n *\n * 注：lstatSync 直接 throw 时返回 false（catch 静默是有意——目录不存在 / 权限拒绝\n * 都按\"不是 folder package\" 处理；这是 paths.ts 的小预言式 helper，没有副作用）。\n */\nexport function isFolderPackage(dir: string): boolean {\n const articlePath = pathJoin(dir, 'article.md');\n try {\n return lstatSync(articlePath).isFile();\n } catch {\n return false;\n }\n}\n\n// ---------------------------------------------------------------------------\n// `lorekit lint` 专用规则\n// ---------------------------------------------------------------------------\n\n/**\n * lint 时按 basename 跳过 frontmatter / orphan 检查的文件名（任何位置）。\n * 这些是 schema / 入口文档，不该被当作 wiki 页验证。\n */\nexport const lintSkipFrontmatterBasenames: ReadonlySet<string> = new Set([\n 'README.md',\n 'AGENTS.md',\n 'CLAUDE.md',\n 'MEMORY.md',\n]);\n\n/**\n * 仅在 corpus 根目录跳过的文件名。`index.md` / `log.md` 在子目录里如果有\n * 同名文件，仍按普通 wiki 页校验。\n */\nexport const lintRootOnlySkipBasenames: ReadonlySet<string> = new Set(['index.md', 'log.md']);\n\n/**\n * lint 不参与 orphan 检查的目录前缀（过渡区 / 冷数据 / 系统规范 / 模板区）。\n * `知识库/模板/` 下是页面模板，不是正式 wiki 页，天然无入链，不应报 orphan。\n */\nexport const lintSkipOrphanPrefixes: readonly string[] = [\n '_工作台/',\n '_归档/',\n '系统/',\n '知识库/模板/',\n];\n\n/**\n * lint 不参与 frontmatter 检查的目录前缀（过渡区 / 冷数据）。\n * 注：`系统/` 故意保留 frontmatter 检查（schema 文件应规范）。\n */\nexport const lintSkipFrontmatterPrefixes: readonly string[] = ['_工作台/', '_归档/'];\n\n/**\n * lint 不参与 broken-link 检查的目录前缀。\n * `知识库/模板/` 下模板正文含 `[[知识库/摘要/xxx]]` 这种占位符，让 LLM 建页时替换，\n * 不是真实 wikilink 目标，不该被报 broken。\n */\nexport const lintSkipBrokenLinkPrefixes: readonly string[] = ['知识库/模板/'];\n\n// ---------------------------------------------------------------------------\n// `lorekit snapshot` 专用规则\n// ---------------------------------------------------------------------------\n\n/**\n * snapshot 打包时跳过的目录 / 文件名。\n * - .wiki：corpus 元数据（含向量库），快照里要重建不要拷\n * - .git：corpus 自己的 git 仓库\n * - .DS_Store：环境噪声\n */\nexport const snapshotExcludeNames: ReadonlySet<string> = new Set(['.wiki', '.git', '.DS_Store']);\n\n// ---------------------------------------------------------------------------\n// 内部 helper（用静态 import；放文件末尾以保持顶部导出干净）\n// ---------------------------------------------------------------------------\n\nimport { lstatSync } from 'node:fs';\nimport { join as pathJoin } from 'node:path';\n","/**\n * logger.ts — 全仓库人类输出唯一通道（CONVENTIONS #2 强制）。\n *\n * 通道分流（CONVENTIONS #3）：所有人类信息（ok / bad / warn / err / info / debug）\n * 一律 stderr，stdout 只留给机器可读输出（JSON / 数据）。这样\n * `lorekit xxx 2>/dev/null | jq .` 才能正确读到结果。\n *\n * debug：受 `LOREKIT_DEBUG=1` 环境变量控制；不开时静默。\n *\n * 历史：批次 10 之前 `ok` / `bad` 走 stdout，是 CONVENTIONS 已规定但 logger 自己\n * 没落地的 bug（LEGACY P1-3）。本批次修复。\n */\nimport chalk from 'chalk';\n\nconst DEBUG_ENABLED = process.env.LOREKIT_DEBUG === '1';\n\n/** 成功 / 完成提示，绿勾 */\nexport const ok = (msg: string) => console.error(`${chalk.green('✓')} ${msg}`);\n\n/** 失败 / 取消提示，红叉。批次 10 前错误地写 stdout，已修正 */\nexport const bad = (msg: string) => console.error(`${chalk.red('✗')} ${msg}`);\n\n/** 警告：可继续但需注意 */\nexport const warn = (msg: string) => console.error(`${chalk.yellow('lorekit:')} ${msg}`);\n\n/** 错误：致命或已退出条件 */\nexport const err = (msg: string) => console.error(`${chalk.red('lorekit:')} ${msg}`);\n\n/** 一般信息：进度 / 提示 */\nexport const info = (msg: string) => console.error(`${chalk.cyan('ℹ')} ${msg}`);\n\n/** 调试输出：仅当 LOREKIT_DEBUG=1 时打印；其他时候静默 */\nexport const debug = (msg: string) => {\n if (DEBUG_ENABLED) console.error(`${chalk.dim('debug:')} ${msg}`);\n};\n\n/**\n * 原样写一行到 stderr（无前缀 / 无装饰）。\n * 用于 banner / 分隔线 / 空行 / 自定义 chalk 着色的 header 等纯展示内容。\n * 调用方负责自己加 chalk —— 如 `print(chalk.cyan('── 区块 ──'))`。\n */\nexport const print = (msg = '') => console.error(msg);\n\n/**\n * 原样写一行到 **stdout**（机器可读通道）。\n * 用于 JSON / 数据结构 / 任何下游会用 `cmd | jq` 解析的输出。\n * 这是 stdout 的唯一合法 logger 入口（CONVENTIONS Do Not #2）。\n */\nexport const out = (msg: string) => console.log(msg);\n","/**\n * vectordb/files.ts — 文件发现 + 字节工具 + 页摘要抽取\n *\n * 批次 22a strangler fig 第一步：从 src/lib/vectordb.ts copy 出文件层小工具。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换，本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - sha256 / float32ToBuffer / distanceToScore：字节层小工具\n * - shouldIndex / collectFiles：基于 paths.ts 规则的 corpus 文件发现\n * - extractPageSummary：从 markdown 文件抽 \"title: intro\" 形式的页摘要\n *\n * 不依赖 schema.ts（无 db 状态），self-contained 除 paths.ts 与 gray-matter。\n */\n\nimport { createHash } from 'node:crypto';\nimport { readFileSync, readdirSync } from 'node:fs';\nimport { basename, join, relative } from 'node:path';\n\nimport matter from 'gray-matter';\n\nimport { vectorIncludeDirs, vectorExcludePrefixes, vectorExcludeNames } from '../paths.js';\n\n// ---------------------------------------------------------------------------\n// 字节层小工具\n// ---------------------------------------------------------------------------\n\n/**\n * 文件 SHA-256 hex digest。用于 sync 时判断 `<doc>.path → updated_at` 是否需要\n * 重新计算 embedding（`sha256` 没变就直接复用旧 chunks）。\n */\nexport function sha256(filePath: string): string {\n const data = readFileSync(filePath);\n return createHash('sha256').update(data).digest('hex');\n}\n\n/**\n * Float32Array → Buffer 零拷贝转换（共享底层 ArrayBuffer），用于把 embedding\n * 写进 sqlite BLOB 列。\n */\nexport function float32ToBuffer(arr: Float32Array): Buffer {\n return Buffer.from(arr.buffer, arr.byteOffset, arr.byteLength);\n}\n\n/**\n * Convert sqlite-vec cosine distance to similarity score.\n * sqlite-vec returns sqrt(2*(1 - cos_sim)), so:\n * score = 1 - distance^2 / 2\n */\nexport function distanceToScore(distance: number): number {\n return 1.0 - (distance * distance) / 2.0;\n}\n\n// ---------------------------------------------------------------------------\n// 文件发现\n// ---------------------------------------------------------------------------\n\n/**\n * 判断给定 corpus 相对路径是否应进向量索引。\n *\n * 规则（来自 paths.ts，CONVENTIONS Do Not #11 集中维护）：\n * 1. 文件名命中 `vectorExcludeNames`（如 `_INDEX.md` / `.gitkeep`）→ 跳\n * 2. 非 `.md` → 跳\n * 3. 路径前缀命中 `vectorExcludePrefixes`（如 `_工作台/` / `_归档/`）→ 跳\n * 4. 路径前缀命中 `vectorIncludeDirs`（如 `知识库/` / `原料/`）→ 收\n * 5. 都不命中 → 跳（保守策略：未明确包含的目录不索引）\n */\nexport function shouldIndex(rel: string): boolean {\n const parts = rel.split('/');\n if (vectorExcludeNames.has(parts[parts.length - 1])) return false;\n if (!rel.endsWith('.md')) return false;\n for (const prefix of vectorExcludePrefixes) {\n if (rel === prefix || rel.startsWith(prefix + '/')) return false;\n }\n for (const inc of vectorIncludeDirs) {\n if (rel === inc || rel.startsWith(inc + '/')) return true;\n }\n return false;\n}\n\n/**\n * 递归收集 corpus 下所有应进索引的 .md 文件，返回排序后的绝对路径列表。\n * 排序保证多次运行得到稳定的 doc_id 顺序，便于 diff debug。\n */\nexport function collectFiles(corpus: string): string[] {\n const results: string[] = [];\n\n function walk(dir: string) {\n let entries;\n try {\n entries = readdirSync(dir, { withFileTypes: true });\n } catch {\n // 目录读不到（权限 / 临时被删）就跳，整体扫描继续。\n return;\n }\n for (const entry of entries) {\n const full = join(dir, entry.name);\n if (entry.isDirectory()) {\n walk(full);\n } else if (entry.name.endsWith('.md')) {\n const rel = relative(corpus, full);\n if (shouldIndex(rel)) {\n results.push(full);\n }\n }\n }\n }\n\n walk(corpus);\n return results.sort();\n}\n\n// ---------------------------------------------------------------------------\n// 页摘要\n// ---------------------------------------------------------------------------\n\n/**\n * 给一个 markdown 文件抽 \"title: intro\" 形式的页摘要，用于 page_summaries 向量。\n *\n * title 优先级：frontmatter.title > 第一个 `# heading` > basename(file, '.md')\n *\n * intro 优先级：`## Compiled Truth` 段（lorekit 知识库页约定的核心摘要节）前 200 字\n * > body 起始前 200 字\n */\nexport function extractPageSummary(filePath: string): string {\n const raw = readFileSync(filePath, 'utf-8');\n const { data: fm, content: body } = matter(raw);\n\n let title = (fm.title as string) || '';\n if (!title) {\n const m = body.match(/^#\\s+(.+)/m);\n title = m ? m[1].trim() : basename(filePath, '.md');\n }\n\n // Try \"## Compiled Truth\" section\n const ctMatch = body.match(/(?:^|\\n)## Compiled Truth\\s*\\n([\\s\\S]*?)(?=\\n## |\\n*$)/);\n const intro = ctMatch ? ctMatch[1].trim().slice(0, 200) : body.trim().slice(0, 200);\n\n return `${title}: ${intro}`;\n}\n","/**\n * vectordb/schema.ts — sqlite schema (DDL) + 数据库打开 + 动态加载 sqlite-vec\n *\n * 批次 22a strangler fig 第一步：从 src/lib/vectordb.ts copy 出 schema 层。\n * 原 vectordb.ts 同名定义仍保留，commands/*.ts 暂未切换，本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - 常量：EMBEDDING_DIM / MODE_THRESHOLD_FILES\n * - 类型：Db / StatusInfo / QueryResult\n * - DDL：4 个 SQL 表 + 3 个 vec0 虚表 + 3 个 fts5 虚表\n * - 入口：loadSqlite() 动态加载 better-sqlite3 + sqlite-vec；openDb() 一站建库\n *\n * 不含 sync / query / build-layered（后续子批负责）。\n */\n\nimport { existsSync, mkdirSync } from 'node:fs';\nimport { join } from 'node:path';\n\nimport type DatabaseNS from 'better-sqlite3';\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\nexport interface QueryResult {\n file: string;\n chunk: string;\n score: number;\n section: string;\n}\n\nexport interface StatusInfo {\n indexed: boolean;\n total_indexable_files?: number;\n indexed_files?: number;\n chunks?: number;\n layered?: { dirs: number; pages: number };\n embedding_dim?: number;\n last_sync?: string | null;\n model?: string | null;\n backend?: string;\n message?: string;\n /**\n * 检索模式推荐（wiki-query skill 直接读这个字段决定路径，不做数值判断）\n * - \"text\" → 走 Read 三层（corpus/index.md → {dir}/_INDEX.md → 具体文件）\n * - \"vector\" → 走向量 layered 召回\n */\n mode?: 'text' | 'vector';\n mode_threshold?: number;\n mode_reason?: string;\n}\n\n// **23c 改**：原 `Db = any` → `DatabaseNS.Database` 精确类型（来自 @types/better-sqlite3\n// 的 namespace 别名 `BetterSqlite3.Database`）。`import type DatabaseNS` 是类型 only，\n// 不引入 runtime 依赖（runtime 仍走 schema.ts 内的 dynamic import 兜可选 dep 缺失）。\n// **重命名 NS 后缀**：避开 loadSqlite() 内部 `let Database = ...` 局部变量 shadowing。\n// 编辑器对 db.prepare/get/run/exec/pragma/close 的智能补全和参数校验恢复正常。\nexport type Db = DatabaseNS.Database;\n\n// ---------------------------------------------------------------------------\n// Constants\n// ---------------------------------------------------------------------------\n\nexport const EMBEDDING_DIM = 1024;\n\n/**\n * 文本模式 ↔ 向量模式的切换阈值（按 indexed_files 计数，不按 chunks）。\n *\n * 为什么按文档数不按 chunks：chunks 会被单文档长度扭曲（一篇 2 万字可能切出 30+ chunks，\n * 但它仍然只是\"一份材料\"）。Karpathy 原文也是按 pages/sources 计数：\n * \"works surprisingly well at moderate scale (~100 sources, ~hundreds of pages)\n * and avoids the need for embedding-based RAG infrastructure.\"\n *\n * 100 = 按 Karpathy 原文的 moderate scale 上界。到这规模之前，Read 三层精度最高；\n * 超过后扁平 Read 太慢，切向量 layered 召回。\n *\n * 先生要调：改这里的数字即可，所有 skill 通过 `lorekit vector status` 读 `mode` 字段\n * 自动跟随。\n */\nexport const MODE_THRESHOLD_FILES = 100;\n\n// 排除 / 包含规则集中在 lib/paths.ts，本文件不再硬编码（CONVENTIONS Do Not #11）。\n\n// ---------------------------------------------------------------------------\n// DDL\n// ---------------------------------------------------------------------------\n\nexport const DDL = `\nCREATE TABLE IF NOT EXISTS documents (\n id INTEGER PRIMARY KEY,\n path TEXT UNIQUE NOT NULL,\n sha256 TEXT NOT NULL,\n updated_at TEXT NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS chunks (\n id INTEGER PRIMARY KEY,\n doc_id INTEGER NOT NULL,\n section TEXT,\n content TEXT NOT NULL,\n embedding BLOB NOT NULL,\n FOREIGN KEY (doc_id) REFERENCES documents(id) ON DELETE CASCADE\n);\n\nCREATE TABLE IF NOT EXISTS meta (\n key TEXT PRIMARY KEY,\n value TEXT\n);\n\nCREATE TABLE IF NOT EXISTS dir_summaries (\n id INTEGER PRIMARY KEY,\n dir_path TEXT UNIQUE NOT NULL,\n summary TEXT NOT NULL,\n embedding BLOB NOT NULL,\n slug_list TEXT NOT NULL DEFAULT '[]'\n);\n\nCREATE TABLE IF NOT EXISTS page_summaries (\n id INTEGER PRIMARY KEY,\n doc_id INTEGER NOT NULL REFERENCES documents(id),\n summary TEXT NOT NULL,\n embedding BLOB NOT NULL\n);\n`;\n\n/**\n * 生成 vec0 虚表 DDL。dim 是 embedding 维度（默认 EMBEDDING_DIM=1024 / bge-m3 模型）。\n *\n * 三个虚表平行存在：\n * - vec_chunks：文档切块向量（rowid 对齐 chunks.id）\n * - vec_dirs：目录摘要向量（rowid 对齐 dir_summaries.id）\n * - vec_pages：页摘要向量（rowid 对齐 page_summaries.id）\n *\n * cosine 距离用于召回时按相似度排序。\n */\nexport function vecDdl(dim: number): string {\n return `\nCREATE VIRTUAL TABLE IF NOT EXISTS vec_chunks USING vec0(\n embedding float[${dim}] distance_metric=cosine\n);\n\nCREATE VIRTUAL TABLE IF NOT EXISTS vec_dirs USING vec0(\n embedding float[${dim}] distance_metric=cosine\n);\n\nCREATE VIRTUAL TABLE IF NOT EXISTS vec_pages USING vec0(\n embedding float[${dim}] distance_metric=cosine\n);\n`;\n}\n\n/**\n * FTS5 虚表 DDL：跟 vec_* 平行存在于同一份 vector.sqlite 里。\n * tokenize='trigram'：对中文友好（每 3 字符滑动窗口），专有名词和日期精确命中。\n * rowid 跟对应 SQL 表的 id 对齐（chunks.id / dir_summaries.id / page_summaries.id）。\n */\nexport const FTS_DDL = `\nCREATE VIRTUAL TABLE IF NOT EXISTS fts_chunks USING fts5(\n content,\n tokenize='trigram'\n);\n\nCREATE VIRTUAL TABLE IF NOT EXISTS fts_dirs USING fts5(\n summary,\n tokenize='trigram'\n);\n\nCREATE VIRTUAL TABLE IF NOT EXISTS fts_pages USING fts5(\n summary,\n tokenize='trigram'\n);\n`;\n\n// ---------------------------------------------------------------------------\n// Dynamic import helper\n// ---------------------------------------------------------------------------\n\n/**\n * 动态加载 better-sqlite3 + sqlite-vec。两者都是 optionalDependencies，\n * 缺失时抛带安装提示的 Error，由调用方决定怎么报给用户。\n *\n * 单独抽出来是为了让其他模块（query / sync / build-layered）也能复用同一份动态加载，\n * 不重复 try/catch。\n */\nexport async function loadSqlite(): Promise<{\n Database: typeof import('better-sqlite3');\n sqliteVec: { load: (db: Db) => void };\n}> {\n let Database: typeof import('better-sqlite3');\n try {\n Database = (await import('better-sqlite3'))\n .default as unknown as typeof import('better-sqlite3');\n } catch {\n throw new Error(\n 'better-sqlite3 is required for the vector engine.\\n' +\n ' Install it: npm install better-sqlite3',\n );\n }\n\n let sqliteVec: { load: (db: Db) => void };\n try {\n const vecMod = await import('sqlite-vec');\n sqliteVec = vecMod as unknown as { load: (db: Db) => void };\n } catch {\n throw new Error(\n 'sqlite-vec is required for the vector engine.\\n' + ' Install it: npm install sqlite-vec',\n );\n }\n\n return { Database, sqliteVec };\n}\n\n// ---------------------------------------------------------------------------\n// openDb — 一站建库 + DDL 应用 + migration\n// ---------------------------------------------------------------------------\n\n/**\n * 打开（必要时创建）`<corpus>/.wiki/vector.sqlite`，应用所有 DDL，加载 sqlite-vec。\n *\n * 副作用：\n * - 创建 `<corpus>/.wiki/` 目录（若不存在）\n * - WAL 模式 + 外键开启\n * - migration：dir_summaries.slug_list 字段（21 之前老库可能缺）补 ALTER TABLE\n *\n * 调用方拿到 Db 之后是同步 better-sqlite3 句柄，可直接 prepare/exec/transaction。\n */\nexport async function openDb(corpus: string, dim = EMBEDDING_DIM): Promise<Db> {\n const { Database, sqliteVec } = await loadSqlite();\n\n const wikiDir = join(corpus, '.wiki');\n if (!existsSync(wikiDir)) mkdirSync(wikiDir, { recursive: true });\n\n const dbPath = join(wikiDir, 'vector.sqlite');\n // `Database` 的实际 runtime 值是 `BetterSqlite3.DatabaseConstructor`（可 new 的\n // class）；dynamic import 拿回的 `default` 已是构造器本体，直接 new 即可。\n const db = new Database(dbPath);\n sqliteVec.load(db);\n\n db.pragma('journal_mode = WAL');\n db.pragma('foreign_keys = ON');\n db.exec(DDL);\n db.exec(vecDdl(dim));\n db.exec(FTS_DDL);\n\n // Migration: dir_summaries.slug_list 字段是后加的，老库要补。\n // 数据每次 buildLayeredIndex 都会全量重建，ALTER 完留空数组即可。\n const dirCols = db.prepare('PRAGMA table_info(dir_summaries)').all() as {\n name: string;\n }[];\n if (!dirCols.some((c) => c.name === 'slug_list')) {\n db.exec(`ALTER TABLE dir_summaries ADD COLUMN slug_list TEXT NOT NULL DEFAULT '[]'`);\n }\n\n return db;\n}\n","/**\n * Ollama embedding client — calls local ollama /api/embed endpoint.\n */\n\nconst OLLAMA_URL = 'http://localhost:11434/api/embed';\nconst DEFAULT_MODEL = 'bge-m3';\n\nexport async function embed(texts: string[], model = DEFAULT_MODEL): Promise<Float32Array[]> {\n const payload = JSON.stringify({ model, input: texts });\n\n let resp: Response;\n try {\n resp = await fetch(OLLAMA_URL, {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: payload,\n signal: AbortSignal.timeout(120_000),\n });\n } catch (e: unknown) {\n const msg = e instanceof Error ? e.message : String(e);\n throw new Error(\n `Cannot connect to ollama at ${OLLAMA_URL}: ${msg}\\n` +\n ` Make sure ollama is running: ollama serve\\n` +\n ` And the model is pulled: ollama pull ${model}`,\n );\n }\n\n if (!resp.ok) {\n const body = await resp.text().catch(() => '');\n throw new Error(`ollama returned ${resp.status}: ${body}`);\n }\n\n const data = (await resp.json()) as { embeddings?: number[][] };\n const embeddings = data.embeddings ?? [];\n return embeddings.map((e) => new Float32Array(e));\n}\n\nexport async function embedSingle(text: string, model = DEFAULT_MODEL): Promise<Float32Array> {\n const results = await embed([text], model);\n return results[0];\n}\n","/**\n * Markdown file chunker — splits .md files into embeddable chunks.\n */\n\nimport { readFileSync } from 'node:fs';\nimport { basename, relative } from 'node:path';\nimport matter from 'gray-matter';\n\nconst MAX_CHUNK_CHARS = 800;\nconst MIN_CHUNK_CHARS = 20;\n\nexport interface Chunk {\n section: string;\n content: string;\n}\n\nexport function chunkFile(filePath: string, corpusRoot: string): Chunk[] {\n const raw = readFileSync(filePath, 'utf-8');\n const { data: fm, content: body } = matter(raw);\n\n let title = (fm.title as string) || '';\n const type = (fm.type as string) || '';\n\n if (!title) {\n const m = body.match(/^#\\s+(.+)/m);\n title = m ? m[1].trim() : basename(filePath, '.md');\n }\n\n // Split body by ## headings\n const parts = body.split(/^(## .+)$/m);\n\n const sections: Array<[string, string]> = [];\n if (parts[0].trim()) {\n sections.push(['_intro', parts[0]]);\n }\n for (let i = 1; i < parts.length - 1; i += 2) {\n const heading = parts[i].replace(/^#+\\s*/, '').trim();\n const secBody = i + 1 < parts.length ? parts[i + 1] : '';\n sections.push([heading, secBody]);\n }\n\n let prefix = '';\n if (title) prefix += `[${title}] `;\n if (type) prefix += `[${type}] `;\n\n const chunks: Chunk[] = [];\n\n for (const [heading, secBody] of sections) {\n const trimmed = secBody.trim();\n if (!trimmed || trimmed.length < MIN_CHUNK_CHARS) continue;\n\n if (trimmed.length > MAX_CHUNK_CHARS) {\n const paragraphs = trimmed.split('\\n\\n');\n let current = '';\n for (const p of paragraphs) {\n if (current.length + p.length > MAX_CHUNK_CHARS && current) {\n chunks.push({ section: heading, content: prefix + current.trim() });\n current = p;\n } else {\n current = current ? current + '\\n\\n' + p : p;\n }\n }\n if (current.trim()) {\n chunks.push({ section: heading, content: prefix + current.trim() });\n }\n } else {\n chunks.push({ section: heading, content: prefix + trimmed });\n }\n }\n\n return chunks;\n}\n","/**\n * vectordb/sync.ts — 单文件增量同步（写路径）\n *\n * 批次 22b strangler fig 第二步：从 src/lib/vectordb.ts copy 出 syncFile。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - 拿到一个 corpus 内的 markdown 路径 + db 句柄 + embed 回调，把该文件的 chunks\n * 全量重建（先级联清旧 doc → 重新切块 → embed → 写 documents/chunks/vec_chunks/fts_chunks）\n * - **不**重建 page_summaries / vec_pages / fts_pages（那是 buildLayeredIndex 的活）\n *\n * 调用流程上由 commands/vector.ts 的 sync 子命令在 collectFiles 列表上 batch 调用。\n */\n\nimport { relative } from 'node:path';\n\nimport { sha256, float32ToBuffer } from './files.js';\nimport type { Db } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\n/**\n * embedding 回调签名。inline 定义保持 22b 不依赖未上提的共享类型；22e/22f 收尾时\n * 若 query 系列子批也用到再考虑上提到 schema.ts（当前 grep 仅 sync/build-layered 用到）。\n */\ntype EmbedFn = (texts: string[]) => Promise<Float32Array[]>;\n\n// ---------------------------------------------------------------------------\n// syncFile\n// ---------------------------------------------------------------------------\n\n/**\n * 单文件全量重建：\n * 1. 查 documents.path == rel 的旧 doc，存在则先级联清 chunks/vec_chunks/fts_chunks\n * + page_summaries/vec_pages/fts_pages，再删 documents\n * - **顺序敏感**：page_summaries 有 FK ON documents(id)，必须先于 documents 删\n * - vec_* / fts_* 是 sqlite-vec / FTS5 的虚表，rowid 跟对应 SQL 表 id 对齐，\n * 手动 DELETE WHERE rowid = ?；不能依赖外键级联\n * 2. INSERT documents（path / sha256 / updated_at）\n * 3. chunkFile() 切块；空 chunks 直接返回\n * 4. embedFn(texts) 批量 embed\n * 5. 逐 chunk INSERT chunks → 拿 last_insert_rowid → INSERT vec_chunks(rowid) 同 id\n * → INSERT fts_chunks(rowid) 同 id\n *\n * 副作用：仅写入；返回 `{ chunks: number }` 让调用方汇总。\n */\nexport async function syncFile(\n db: Db,\n filePath: string,\n corpus: string,\n embedFn: EmbedFn,\n): Promise<{ chunks: number }> {\n const { chunkFile } = await import('../chunker.js');\n\n const rel = relative(corpus, filePath);\n const sha = sha256(filePath);\n\n // Remove old data — chunks / page_summaries 都引用 documents.id，要级联清；\n // 每张 virtual table（vec_*, fts_*）的 rowid 跟对应 SQL 表的 id 一一对应。\n const old = db.prepare('SELECT id FROM documents WHERE path = ?').get(rel) as\n | { id: number }\n | undefined;\n if (old) {\n // 1. chunks + vec_chunks + fts_chunks\n const chunkIds = db.prepare('SELECT id FROM chunks WHERE doc_id = ?').all(old.id) as {\n id: number;\n }[];\n const delVecChunk = db.prepare('DELETE FROM vec_chunks WHERE rowid = ?');\n const delFtsChunk = db.prepare('DELETE FROM fts_chunks WHERE rowid = ?');\n for (const { id } of chunkIds) {\n delVecChunk.run(id);\n delFtsChunk.run(id);\n }\n db.prepare('DELETE FROM chunks WHERE doc_id = ?').run(old.id);\n\n // 2. page_summaries + vec_pages + fts_pages（外键拦 documents 删除，必须先清）\n const pageIds = db.prepare('SELECT id FROM page_summaries WHERE doc_id = ?').all(old.id) as {\n id: number;\n }[];\n const delVecPage = db.prepare('DELETE FROM vec_pages WHERE rowid = ?');\n const delFtsPage = db.prepare('DELETE FROM fts_pages WHERE rowid = ?');\n for (const { id } of pageIds) {\n delVecPage.run(id);\n delFtsPage.run(id);\n }\n db.prepare('DELETE FROM page_summaries WHERE doc_id = ?').run(old.id);\n\n // 3. 最后删 documents\n db.prepare('DELETE FROM documents WHERE id = ?').run(old.id);\n }\n\n const now = new Date().toISOString();\n db.prepare('INSERT INTO documents (path, sha256, updated_at) VALUES (?, ?, ?)').run(\n rel,\n sha,\n now,\n );\n const docRow = db.prepare('SELECT id FROM documents WHERE path = ?').get(rel) as {\n id: number;\n };\n const docId = docRow.id;\n\n const chunks = chunkFile(filePath, corpus);\n if (chunks.length === 0) return { chunks: 0 };\n\n const texts = chunks.map((c) => c.content);\n const embeddings = await embedFn(texts);\n\n const insertChunk = db.prepare(\n 'INSERT INTO chunks (doc_id, section, content, embedding) VALUES (?, ?, ?, ?)',\n );\n const insertFts = db.prepare('INSERT INTO fts_chunks(rowid, content) VALUES (?, ?)');\n for (let i = 0; i < chunks.length; i++) {\n const blob = float32ToBuffer(embeddings[i]);\n insertChunk.run(docId, chunks[i].section, chunks[i].content, blob);\n const chunkId = Number(\n (db.prepare('SELECT last_insert_rowid() as id').get() as { id: bigint }).id,\n );\n // vec0 doesn't support bound params for rowid — must inline\n db.prepare(`INSERT INTO vec_chunks (rowid, embedding) VALUES (${chunkId}, ?)`).run(blob);\n insertFts.run(chunkId, chunks[i].content);\n }\n\n return { chunks: chunks.length };\n}\n","/**\n * vectordb/build-layered-index.ts — L0/L1 分层索引重建（写路径）\n *\n * 批次 22b strangler fig 第二步：从 src/lib/vectordb.ts copy 出 buildLayeredIndex\n * + 3 个内部 helper（parseIndexSections / parseIndexEntries / findAllIndexFiles）。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - L0: 从 `corpus/index.md` 按 `## section` 切，每段一条 vec_dirs / fts_dirs 行\n * - L1: 从所有 `{dir}/_INDEX.md` 表格行解析，每条目一条 vec_pages / fts_pages 行\n * （summary 入向量；slug + summary 入 FTS）\n * - 重建是\"全量替换\"：先 DELETE FROM dir_summaries / vec_dirs / fts_dirs / page_*\n *\n * 依赖 syncFile 已先跑过：因为 L1 用 `slug → doc_id` 映射，doc_id 来自 documents 表\n * （sync 阶段建立）。typical commands/vector.ts sync 流程：collectFiles → syncFile loop\n * → buildLayeredIndex。\n *\n * **23a 改动**：7 处进度提示 `console.log` → `logger.info`（stderr，不污染\n * `lorekit sync | jq` 管道）。findAllIndexFiles 的沉默 catch → `logger.warn` +\n * 注释说明为何可以继续。对应 LEGACY P2-2 / P2-4 vectordb 残留清零。\n */\n\nimport { existsSync, readFileSync, readdirSync } from 'node:fs';\nimport { join, relative } from 'node:path';\n\nimport matter from 'gray-matter';\n\nimport { vectorExcludePrefixes } from '../paths.js';\nimport * as logger from '../../utils/logger.js';\nimport { float32ToBuffer } from './files.js';\nimport type { Db } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\n/**\n * embedding 回调签名。inline 同 sync.ts；22e/22f 收尾决定是否上提到 schema.ts。\n */\ntype EmbedFn = (texts: string[]) => Promise<Float32Array[]>;\n\n// ---------------------------------------------------------------------------\n// parseIndexSections — 解析 corpus/index.md 的 ## 分区\n// ---------------------------------------------------------------------------\n\n/**\n * 把 `corpus/index.md` 按 `## section name` 切成多段。\n *\n * 仅返回\"含至少一行 `- [[xxx]]` 或 `* [[xxx]]` 条目\"的分区——纯说明性段（如\n * \"## How to use this wiki\" 不含 wikilink 列表）会被滤掉，不进 L0 向量。\n *\n * 每段返回：\n * - `name`：section 标题（去 ## 与首尾空白）\n * - `text`：完整段文本（含 `## name` 行 + 后续所有行 join('\\n').trim()）\n * - `slugs`：去重后的主 slug 列表（每行 `- [[slug]]` 或 `* [[slug]]` 取 wikilink 第一个）\n */\nfunction parseIndexSections(\n content: string,\n): Array<{ name: string; text: string; slugs: string[] }> {\n const lines = content.split('\\n');\n const sections: Array<{ name: string; lines: string[] }> = [];\n let current: { name: string; lines: string[] } | null = null;\n\n for (const line of lines) {\n const m = line.match(/^##\\s+(.+?)\\s*$/);\n if (m) {\n if (current) sections.push(current);\n current = { name: m[1].trim(), lines: [line] };\n } else if (current) {\n current.lines.push(line);\n }\n }\n if (current) sections.push(current);\n\n // 每条目主 slug：行首 `- [[slug]]`（或 `* [[slug]]`），只取第一个 wikilink\n const entrySlugRe = /^\\s*[-*]\\s*\\[\\[([^\\]|#]+?)\\]\\]/;\n\n return sections\n .filter((s) => /^\\s*[-*]\\s/m.test(s.lines.slice(1).join('\\n')))\n .map((s) => {\n const slugs: string[] = [];\n for (const line of s.lines.slice(1)) {\n const m = line.match(entrySlugRe);\n if (m) slugs.push(m[1].trim());\n }\n return {\n name: s.name,\n text: s.lines.join('\\n').trim(),\n slugs: [...new Set(slugs)],\n };\n });\n}\n\n// ---------------------------------------------------------------------------\n// parseIndexEntries — 解析 {dir}/_INDEX.md 的表格行\n// ---------------------------------------------------------------------------\n\n/**\n * 解析 `{dir}/_INDEX.md` 表格行：`| [[slug]] | summary | updated |`\n * 跳过表头（含\"条目\"二字）和分隔行（全是 - 和 |）\n */\nfunction parseIndexEntries(content: string): Array<{ slug: string; summary: string }> {\n const lines = content.split('\\n');\n const entries: Array<{ slug: string; summary: string }> = [];\n\n for (const line of lines) {\n if (/^\\|\\s*条目\\s*\\|/.test(line)) continue;\n if (/^\\|[\\s\\-|]+\\|?\\s*$/.test(line)) continue;\n\n const m = line.match(/^\\|\\s*\\[\\[([^\\]|#]+?)\\]\\]\\s*\\|\\s*(.*?)\\s*\\|\\s*(.*?)\\s*\\|/);\n if (!m) continue;\n const slug = m[1].trim();\n const summary = m[2].replace(/\\\\\\|/g, '|').trim();\n entries.push({ slug, summary });\n }\n\n return entries;\n}\n\n// ---------------------------------------------------------------------------\n// findAllIndexFiles — 递归找所有 _INDEX.md\n// ---------------------------------------------------------------------------\n\n/**\n * 递归扫 corpus 找所有 `_INDEX.md`，复用 paths.ts 的 vectorExcludePrefixes 排除规则。\n * 同时跳过 `.` 起头的目录（.git / .wiki / .obsidian 等约定隐藏目录）。\n */\nfunction findAllIndexFiles(corpus: string): string[] {\n const results: string[] = [];\n\n function walk(dir: string) {\n let entries;\n try {\n entries = readdirSync(dir, { withFileTypes: true });\n } catch (e) {\n // 目录读不到（权限 / 临时被删 / 扫到 symlink 循环）就跳，整体扫描继续。\n logger.warn(`findAllIndexFiles: skip ${dir} (${(e as Error).message})`);\n return;\n }\n for (const entry of entries) {\n if (entry.name.startsWith('.')) continue;\n const full = join(dir, entry.name);\n const rel = relative(corpus, full);\n if (vectorExcludePrefixes.some((p) => rel === p || rel.startsWith(p + '/'))) continue;\n\n if (entry.isDirectory()) {\n walk(full);\n } else if (entry.name === '_INDEX.md') {\n results.push(full);\n }\n }\n }\n walk(corpus);\n return results.sort();\n}\n\n// ---------------------------------------------------------------------------\n// buildLayeredIndex — L0 + L1 全量重建\n// ---------------------------------------------------------------------------\n\nexport async function buildLayeredIndex(db: Db, corpus: string, embedFn: EmbedFn): Promise<void> {\n // --- L0: 从 corpus/index.md 按 ## 分区切，每区一条向量 + 一条 FTS ---\n db.prepare('DELETE FROM dir_summaries').run();\n db.prepare('DELETE FROM vec_dirs').run();\n db.prepare('DELETE FROM fts_dirs').run();\n\n const indexPath = join(corpus, 'index.md');\n if (!existsSync(indexPath)) {\n logger.info(' L0: corpus/index.md not found, skipped');\n } else {\n const raw = readFileSync(indexPath, 'utf-8');\n const { content } = matter(raw);\n const sections = parseIndexSections(content);\n\n if (sections.length === 0) {\n logger.info(' L0: no sections with entries in index.md, skipped');\n } else {\n const texts = sections.map((s) => s.text);\n const embeddings = await embedFn(texts);\n\n const insertDir = db.prepare(\n 'INSERT INTO dir_summaries (dir_path, summary, embedding, slug_list) VALUES (?, ?, ?, ?)',\n );\n const insertFtsDir = db.prepare('INSERT INTO fts_dirs(rowid, summary) VALUES (?, ?)');\n for (let i = 0; i < sections.length; i++) {\n const blob = float32ToBuffer(embeddings[i]);\n const slugListJson = JSON.stringify(sections[i].slugs);\n insertDir.run(sections[i].name, sections[i].text, blob, slugListJson);\n const dirId = Number(\n (db.prepare('SELECT last_insert_rowid() as id').get() as { id: bigint }).id,\n );\n db.prepare(`INSERT INTO vec_dirs (rowid, embedding) VALUES (${dirId}, ?)`).run(blob);\n insertFtsDir.run(dirId, sections[i].text);\n }\n const totalSlugs = sections.reduce((a, s) => a + s.slugs.length, 0);\n logger.info(\n ` L0: indexed ${sections.length} sections from index.md (${totalSlugs} slugs tracked)`,\n );\n }\n }\n\n // --- L1: 从各 _INDEX.md 的每行条目，每条一条向量 + 一条 FTS ---\n db.prepare('DELETE FROM page_summaries').run();\n db.prepare('DELETE FROM vec_pages').run();\n db.prepare('DELETE FROM fts_pages').run();\n\n const indexFiles = findAllIndexFiles(corpus);\n if (indexFiles.length === 0) {\n logger.info(' L1: no _INDEX.md found, skipped');\n return;\n }\n\n const allEntries: Array<{ slug: string; summary: string }> = [];\n for (const f of indexFiles) {\n const raw = readFileSync(f, 'utf-8');\n allEntries.push(...parseIndexEntries(raw));\n }\n\n if (allEntries.length === 0) {\n logger.info(' L1: no entries parsed from _INDEX.md, skipped');\n return;\n }\n\n // 建 slug → doc_id 映射（兼容目录包装式和去/不去 .md 后缀）\n const docRows = db.prepare('SELECT id, path FROM documents').all() as {\n id: number;\n path: string;\n }[];\n const slugToDocId = new Map<string, number>();\n for (const { id, path } of docRows) {\n slugToDocId.set(path, id);\n slugToDocId.set(path.replace(/\\.md$/, ''), id);\n if (path.endsWith('/article.md')) {\n slugToDocId.set(path.replace(/\\/article\\.md$/, ''), id);\n }\n }\n\n const matched: Array<{ docId: number; text: string; slug: string }> = [];\n let unmatched = 0;\n for (const e of allEntries) {\n const docId = slugToDocId.get(e.slug);\n if (docId === undefined) {\n unmatched++;\n continue;\n }\n // 向量输入用 summary；summary 缺失时退回 slug（至少有语义路径）\n const text =\n e.summary && e.summary !== '—' && e.summary !== '（缺少 frontmatter）' ? e.summary : e.slug;\n matched.push({ docId, text, slug: e.slug });\n }\n\n if (matched.length === 0) {\n logger.info(' L1: no _INDEX.md entries matched documents, skipped');\n return;\n }\n\n const BATCH = 64;\n const insertPage = db.prepare(\n 'INSERT INTO page_summaries (doc_id, summary, embedding) VALUES (?, ?, ?)',\n );\n const insertFtsPage = db.prepare('INSERT INTO fts_pages(rowid, summary) VALUES (?, ?)');\n for (let i = 0; i < matched.length; i += BATCH) {\n const batch = matched.slice(i, i + BATCH);\n const texts = batch.map((m) => m.text);\n const embeddings = await embedFn(texts);\n for (let j = 0; j < batch.length; j++) {\n const blob = float32ToBuffer(embeddings[j]);\n insertPage.run(batch[j].docId, batch[j].text, blob);\n const pageId = Number(\n (db.prepare('SELECT last_insert_rowid() as id').get() as { id: bigint }).id,\n );\n db.prepare(`INSERT INTO vec_pages (rowid, embedding) VALUES (${pageId}, ?)`).run(blob);\n // FTS 索引内容 = slug + summary，让 BM25 也能通过路径（含实体名）命中；\n // 向量只索引 summary，保持语义纯净不被路径噪声污染。\n insertFtsPage.run(pageId, `${batch[j].slug} ${batch[j].text}`);\n }\n }\n\n let msg = ` L1: indexed ${matched.length} entries from ${indexFiles.length} _INDEX.md`;\n if (unmatched > 0) msg += ` (${unmatched} unmatched slug, skipped)`;\n logger.info(msg);\n}\n","/**\n * vectordb/query-flat.ts — 单层向量召回（最简实现，对照 layered 的 baseline）\n *\n * 批次 22c strangler fig 第三步：从 src/lib/vectordb.ts copy 出 queryFlat。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - 单一 vec_chunks 表 ANN top-K 召回\n * - threshold 过滤后 JOIN documents 拿 file path 与 section 元数据\n * - 不做分层、不做 parent boost、不做 BM25 融合（那些在 query-layered / query-bm25 /\n * query-hybrid 各自负责）\n *\n * 适用：调试 / 小语料 / 不想要 layered 复杂逻辑时；commands/vector.ts 的\n * `vector query` 默认走 queryHybrid，flat 通过显式 flag 触发。\n */\n\nimport { distanceToScore, float32ToBuffer } from './files.js';\nimport type { Db, QueryResult } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// queryFlat\n// ---------------------------------------------------------------------------\n\n/**\n * 单层向量 query：\n * - vec_chunks MATCH ? ORDER BY distance LIMIT topK\n * - 距离 → 相似度（distanceToScore：1 - d²/2）\n * - 低于 threshold 的 chunk 丢弃\n * - 用 chunks.id JOIN documents 拿 path / section\n *\n * 返回的 QueryResult.score 保留 4 位小数（`Math.round(score * 10000) / 10000`），\n * 跟 layered / bm25 / hybrid 的输出保持一致便于下游对比。\n */\nexport function queryFlat(\n db: Db,\n embedding: Float32Array,\n topK: number,\n threshold: number,\n): QueryResult[] {\n const blob = float32ToBuffer(embedding);\n\n const rows = db\n .prepare(\n `SELECT v.rowid as id, v.distance\n FROM vec_chunks v\n WHERE v.embedding MATCH ? AND k = ?\n ORDER BY v.distance`,\n )\n .all(blob, topK) as { id: number; distance: number }[];\n\n const results: QueryResult[] = [];\n const getChunk = db.prepare(\n `SELECT c.content, c.section, d.path\n FROM chunks c JOIN documents d ON c.doc_id = d.id\n WHERE c.id = ?`,\n );\n\n for (const row of rows) {\n const score = distanceToScore(row.distance);\n if (score < threshold) continue;\n const cr = getChunk.get(row.id) as\n | { content: string; section: string; path: string }\n | undefined;\n if (cr) {\n results.push({\n file: cr.path,\n chunk: cr.content,\n score: Math.round(score * 10000) / 10000,\n section: cr.section,\n });\n }\n }\n\n return results;\n}\n","/**\n * vectordb/query-layered.ts — L0/L1/L2 三层向量召回\n *\n * 批次 22c strangler fig 第三步：从 src/lib/vectordb.ts copy 出 queryLayered。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 三层结构（基于 buildLayeredIndex 建立的索引）：\n *\n * - **L0** vec_dirs：top-3 sections（index.md 的 ## 分区向量）\n * → 用 dir_summaries.slug_list 收集\"覆盖到的所有候选 slug\"\n *\n * - **L1** vec_pages：在 L0 候选 doc_id 范围内召回 top-5 pages\n * → searchK = min(候选页数, 50)；vec0 只能限 K 不能限范围，先全召回再 filter\n *\n * - **L2** vec_chunks：在 L1 命中页的 chunks 范围内召回 topK\n * → searchK2 = min(候选 chunks 数, topK*5)；同样先召回再 filter\n *\n * 每层任意阶段命中为空 → 短路返回 `[]`（不退化到全库 flat 召回）。\n *\n * 设计取舍：分层把\"语义召回\"分阶段约束在\"结构相关\"的子集，避免大库 ANN\n * 误命中冷门文档。代价是命中阈值越低 / 库规模越小时，可能比 flat 漏召。\n */\n\nimport { distanceToScore, float32ToBuffer } from './files.js';\nimport type { Db, QueryResult } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// queryLayered\n// ---------------------------------------------------------------------------\n\nexport function queryLayered(\n db: Db,\n embedding: Float32Array,\n topK: number,\n threshold: number,\n): QueryResult[] {\n const blob = float32ToBuffer(embedding);\n\n // **23c 改：cap 联动 topK** —— 3/5 是 Karpathy 原文 baseline（小 topK 精度优先），\n // topK 上来时按比例放大避免过早收窄。topK=10 默认：L0_K=3, L1_CAP=5（向后兼容）。\n // topK=100 时：L0_K=10, L1_CAP=20，让 L0 覆盖更多分区 / L1 保留更多候选页。\n const L0_K = Math.max(3, Math.ceil(topK / 10));\n const L1_CAP = Math.max(5, Math.ceil(topK / 5));\n\n // L0: top-L0_K sections（分区向量，每个分区 = index.md 里一个 ## 区块）\n const l0Rows = db\n .prepare(\n `SELECT v.rowid as id, v.distance\n FROM vec_dirs v\n WHERE v.embedding MATCH ? AND k = ?\n ORDER BY v.distance`,\n )\n .all(blob, L0_K) as { id: number; distance: number }[];\n\n if (l0Rows.length === 0) return [];\n\n // 从 dir_summaries.slug_list 拿 L0 命中分区覆盖的所有 slug\n const dirIds = l0Rows.map((r) => r.id);\n const dirRows = db\n .prepare(`SELECT slug_list FROM dir_summaries WHERE id IN (${dirIds.map(() => '?').join(',')})`)\n .all(...dirIds) as { slug_list: string }[];\n\n const candidateSlugs = new Set<string>();\n for (const row of dirRows) {\n try {\n const list = JSON.parse(row.slug_list) as string[];\n for (const s of list) candidateSlugs.add(s);\n } catch {\n // slug_list 异常（老库未迁移时可能是空串）→ 跳过\n }\n }\n\n if (candidateSlugs.size === 0) return [];\n\n // 把 slug 映射成 doc_id（兼容目录包装式 slug、去/不去 .md 后缀）\n // **23c 改：变量 rename** `candidateDocIds` → `L0CandidateDocIds` 按层语义命名\n const docRows = db.prepare('SELECT id, path FROM documents').all() as {\n id: number;\n path: string;\n }[];\n const L0CandidateDocIds = new Set<number>();\n for (const { id, path } of docRows) {\n const stem = path.replace(/\\.md$/, '');\n const folderSlug = path.endsWith('/article.md') ? path.replace(/\\/article\\.md$/, '') : null;\n if (candidateSlugs.has(path) || candidateSlugs.has(stem)) {\n L0CandidateDocIds.add(id);\n } else if (folderSlug && candidateSlugs.has(folderSlug)) {\n L0CandidateDocIds.add(id);\n }\n }\n\n if (L0CandidateDocIds.size === 0) return [];\n\n // L1: top-L1_CAP pages，候选限定在 L0 命中分区覆盖的 doc_id\n // **23c 改：变量 rename** `docIdArr` → `L0CandidateDocIdArr`（L0 doc_id 的 array view）\n const L0CandidateDocIdArr = [...L0CandidateDocIds];\n const candidatePageIds = db\n .prepare(\n `SELECT id FROM page_summaries WHERE doc_id IN (${L0CandidateDocIdArr.map(() => '?').join(',')})`,\n )\n .all(...L0CandidateDocIdArr) as { id: number }[];\n\n if (candidatePageIds.length === 0) return [];\n\n const searchK = Math.min(candidatePageIds.length, 50);\n const l1Rows = db\n .prepare(\n `SELECT v.rowid as id, v.distance\n FROM vec_pages v\n WHERE v.embedding MATCH ? AND k = ?\n ORDER BY v.distance`,\n )\n .all(blob, searchK) as { id: number; distance: number }[];\n\n const candidateSet = new Set(candidatePageIds.map((r) => r.id));\n const l1Filtered = l1Rows.filter((r) => candidateSet.has(r.id)).slice(0, L1_CAP);\n\n if (l1Filtered.length === 0) return [];\n\n // Get doc_ids from matched page summaries\n // **23c 改：变量 rename** `docIds` → `L1CandidateDocIds`（L1 命中页对应的 doc_id 对象数组）\n const pageIds = l1Filtered.map((r) => r.id);\n const L1CandidateDocIds = db\n .prepare(\n `SELECT DISTINCT doc_id FROM page_summaries WHERE id IN (${pageIds.map(() => '?').join(',')})`,\n )\n .all(...pageIds) as { doc_id: number }[];\n\n if (L1CandidateDocIds.length === 0) return [];\n\n // L2: chunks within matched docs\n // **23c 改：变量 rename** `docIdList` → `L1CandidateDocIdList`（plain number[] 形式）\n const L1CandidateDocIdList = L1CandidateDocIds.map((r) => r.doc_id);\n const candidateChunkIds = db\n .prepare(\n `SELECT id FROM chunks WHERE doc_id IN (${L1CandidateDocIdList.map(() => '?').join(',')})`,\n )\n .all(...L1CandidateDocIdList) as { id: number }[];\n\n if (candidateChunkIds.length === 0) return [];\n\n const searchK2 = Math.min(candidateChunkIds.length, topK * 5);\n const l2Rows = db\n .prepare(\n `SELECT v.rowid as id, v.distance\n FROM vec_chunks v\n WHERE v.embedding MATCH ? AND k = ?\n ORDER BY v.distance`,\n )\n .all(blob, searchK2) as { id: number; distance: number }[];\n\n const chunkSet = new Set(candidateChunkIds.map((r) => r.id));\n const l2Filtered = l2Rows.filter((r) => chunkSet.has(r.id)).slice(0, topK);\n\n const results: QueryResult[] = [];\n const getChunk = db.prepare(\n `SELECT c.content, c.section, d.path\n FROM chunks c JOIN documents d ON c.doc_id = d.id\n WHERE c.id = ?`,\n );\n\n for (const row of l2Filtered) {\n const score = distanceToScore(row.distance);\n if (score < threshold) continue;\n const cr = getChunk.get(row.id) as\n | { content: string; section: string; path: string }\n | undefined;\n if (cr) {\n results.push({\n file: cr.path,\n chunk: cr.content,\n score: Math.round(score * 10000) / 10000,\n section: cr.section,\n });\n }\n }\n\n return results;\n}\n","/**\n * vectordb/query-bm25.ts — BM25（FTS5）chunk 层直查\n *\n * **批次 24-fix（2026-04-19）重写**：原 layered 三层 (fts_dirs → fts_pages →\n * fts_chunks) 在 21 引入时设计错误——L0 的 dir 摘要只含目录标题 + wikilink 列表，\n * **不含正文**，用户关键词几乎永不命中 L0；一旦 L0 空集整条链路 `return []`，\n * 导致 `lorekit vector query --bm25 --text \"browser-use\"` 这种最朴素的调用\n * 返回空。这个缺陷隐藏在 hybrid 融合后（向量路补救），22 系列 byte-level 拆分\n * 验证没抓到，22f 真实 ingest 验收时先生发现真实 corpus 里 BM25 永远空才暴露。\n *\n * 方案 X（规划方批准）：BM25 不分层，直接 fts_chunks MATCH + rank 排 topK。\n * 依据：\n * - BM25 本身就用 rank 排精度，不需要 L0/L1 预先缩候选集\n * - dir / page 摘要不含正文是架构事实（buildLayeredIndex 写入语义），不是 bug\n * - 向量路的 queryLayered 保留 L0 gate（向量相似度下 L0 能做语义 gate）\n *\n * 函数名 / 签名 / 返回类型全部保留，commands / query-hybrid 无需改 import。\n *\n * 适用：精确实体名 / 日期 / 专有名词召回（\"Harness\" / \"Anthropic\" / \"2026-04-15\"）。\n * 中英混合复合短语建议走向量或 hybrid。\n */\n\nimport * as logger from '../../utils/logger.js';\nimport type { Db, QueryResult } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// sanitizeFtsQuery — FTS5 查询字符串清洗\n// ---------------------------------------------------------------------------\n\n/**\n * FTS5 查询字符串清洗：\n * - 去掉 FTS5 运算符字符（\" * : ^ ( )）和保留关键字（OR/AND/NOT/NEAR）\n * - trigram tokenizer 下短于 3 字符的 token 无法命中，过滤掉\n * - 多 token 之间用空格连接（FTS5 默认 AND 语义）\n *\n * 为什么不用短语搜索（\"...\"）：短语要求整条 trigram 序列完全连续匹配，中英混合\n * 或带空格的 query 几乎永远命中不上。默认 AND 更宽松，跟 BM25 的\"精确关键词\"\n * 定位一致——先生查\"Harness\"/\"Anthropic\"这种精确实体名能命中；查\"Harness 五版\n * 演化\"这种复合短语 BM25 空是合理的（语义匹配应该走向量或 Hybrid）。\n *\n * **23b 修**：`\\d{4}-\\d{2}-\\d{2}` 完整 ISO 日期 protect-and-restore，避免被\n * `-` 拆 token 退化为 `2026`。流程：\n * 1. 提取所有 ISO 日期，用 `__DATE0__` / `__DATE1__` 占位符替换（前后空格保证分词）\n * 2. 跑现有 sanitize（占位符 `_` 不在 FTS5 运算符 set 里，整串 9 字符 > 3 通过过滤）\n * 3. 把占位符还原为 `\"YYYY-MM-DD\"`（双引号包裹让 FTS5 当 phrase token，\n * 避免 `-` 被解析成 NOT 前缀）\n *\n * 不识别 `2026/04/15`（`/` 不在原 sanitize 拆分字符里，本来就 OK 不需要保护）。\n * 不识别 `2026-4-15`（年月日不补 0 的非标准格式，避免误识别行内 hyphenated 词如\n * `self-hosted`）。\n */\nfunction sanitizeFtsQuery(q: string): string {\n // 1. protect ISO dates\n const dates: string[] = [];\n const protectedQ = q.replace(/\\d{4}-\\d{2}-\\d{2}/g, (m) => {\n const i = dates.length;\n dates.push(m);\n return ` __DATE${i}__ `;\n });\n\n // 2. 现有 sanitize 流程\n // FTS5 运算符：\" * : ^ ( ) - +（`-` 前缀是 NOT，内部的 `-` 也会让日期类 query 失效）\n let s = protectedQ.replace(/[\"*:^()\\-+]/g, ' ');\n s = s.replace(/\\b(OR|AND|NOT|NEAR)\\b/gi, ' ');\n s = s.replace(/\\s+/g, ' ').trim();\n if (!s) return '';\n const tokens = s.split(' ').filter((t) => t.length >= 3);\n if (tokens.length === 0) return '';\n\n // 3. 还原占位符为 quoted 完整日期（FTS5 phrase syntax）\n const restored = tokens.map((t) => {\n const m = t.match(/^__DATE(\\d+)__$/);\n return m ? `\"${dates[Number(m[1])]}\"` : t;\n });\n return restored.join(' ');\n}\n\n// ---------------------------------------------------------------------------\n// queryBM25Layered — BM25 chunk 层直查（名字保留，语义改为单层）\n// ---------------------------------------------------------------------------\n\n/**\n * BM25 召回：fts_chunks MATCH + rank 排序，topK 截断。\n *\n * **不再走 layered 三层**——L0/L1 的 dir/page 摘要不含正文，永不命中用户关键词\n * （详见文件头注释）。改为对 fts_chunks 直接 MATCH，rank 列就是 BM25 负数，\n * 越小越相关；返回时归一为正数。\n *\n * 命名保留 `queryBM25Layered` 是为了兼容现有 import（query-hybrid / commands/vector /\n * lib/vectordb/index）。后续批次若要改名，整个 import 图一起改。\n *\n * 失败路径：FTS5 对 sanitizeFtsQuery 后的 query 仍可能因边界 token 抛错（纯 trigram\n * 不可分串），catch 后返回 `[]` 让上层 hybrid 优雅降级到纯向量；失败原因走 stderr\n * 便于 debug。\n */\nexport function queryBM25Layered(db: Db, queryText: string, topK: number): QueryResult[] {\n const ftsQ = sanitizeFtsQuery(queryText);\n if (!ftsQ) return [];\n\n let rows: {\n rank: number;\n content: string;\n section: string | null;\n path: string;\n }[] = [];\n try {\n rows = db\n .prepare(\n `SELECT fc.rank as rank, c.content as content, c.section as section, d.path as path\n FROM fts_chunks fc\n JOIN chunks c ON fc.rowid = c.id\n JOIN documents d ON c.doc_id = d.id\n WHERE fc.fts_chunks MATCH ?\n ORDER BY fc.rank\n LIMIT ?`,\n )\n .all(ftsQ, topK) as {\n rank: number;\n content: string;\n section: string | null;\n path: string;\n }[];\n } catch (e) {\n // FTS5 边界 token 失败 → BM25 整体降级为空，上层 hybrid 回退纯向量\n logger.warn(`queryBM25Layered fts5 match: ${(e as Error).message}`);\n return [];\n }\n\n return rows.map((r) => ({\n file: r.path,\n chunk: r.content,\n // FTS5 rank 是负数（越小越相关），取绝对值作为正向分数；归一化留给 RRF\n score: Math.round(-r.rank * 10000) / 10000,\n section: r.section ?? '',\n }));\n}\n","/**\n * vectordb/query-hybrid.ts — 向量 + BM25 双路 RRF 融合\n *\n * 批次 22d strangler fig 第四步：从 src/lib/vectordb.ts copy 出 rrfMerge + queryHybrid。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 这是 4 路 query（flat / layered / bm25 / hybrid）里的\"组合\"端，自身不写 db query：\n * - 调 22c 的 `queryLayered` 拿向量三层结果\n * - 调本批的 `queryBM25Layered` 拿 BM25 三层结果\n * - 用 `rrfMerge` 把两路按 Reciprocal Rank Fusion 合并\n *\n * commands/vector.ts 的 `vector query --hybrid` 走这里；不带 flag 默认也是 hybrid\n * （根据当前 cli.ts 设定）。\n */\n\nimport { createHash } from 'node:crypto';\n\nimport { queryBM25Layered } from './query-bm25.js';\nimport { queryLayered } from './query-layered.js';\nimport type { Db, QueryResult } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// rrfMerge — Reciprocal Rank Fusion\n// ---------------------------------------------------------------------------\n\n/**\n * Reciprocal Rank Fusion — 多路召回结果的排名合并。\n * 公式：score(item) = Σ 1 / (k + rank_i) （rank 从 1 开始，k 默认 60）\n * 在两路都靠前的 item 最终 score 最高。\n *\n * **23b 修**：dedup key 从 `${file}::${chunk.slice(0, 80)}` 改为\n * `${file}::${sha256(chunk).slice(0, 16)}`。\n *\n * 原代码用前 80 字做 dedup，中文长文档 chunk 段首固定开场白时（如\n * \"[title] [type]\\n\\n# title\\n## section\\n...\"）两个真实不同的 chunk 前 80 字\n * 可能完全相同 → 被错误合并为 1 条，丢正确召回（22d B6 mock case 复现）。\n *\n * 改用 sha256 前 16 hex char（64 bits）作为 chunk 内容指纹，避碰概率 ≈ 2^-32 全文档级\n * 仍极低，且对 chunk 全文敏感不再依赖前缀重复程度。规划方决策：64 bits 足够，\n * 不用全 64 hex 节省 key 空间。\n */\nexport function rrfMerge(lists: QueryResult[][], topK: number, k: number = 60): QueryResult[] {\n // key = file + chunk sha256 前 16 hex（64 bits 指纹），value = { item, rrf }\n const merged = new Map<string, { item: QueryResult; rrf: number }>();\n for (const list of lists) {\n list.forEach((item, i) => {\n const fingerprint = createHash('sha256').update(item.chunk).digest('hex').slice(0, 16);\n const key = `${item.file}::${fingerprint}`;\n const rrf = 1 / (k + i + 1);\n const prev = merged.get(key);\n if (prev) {\n prev.rrf += rrf;\n } else {\n merged.set(key, { item, rrf });\n }\n });\n }\n return [...merged.values()]\n .sort((a, b) => b.rrf - a.rrf)\n .slice(0, topK)\n .map(({ item, rrf }) => ({\n ...item,\n score: Math.round(rrf * 10000) / 10000,\n }));\n}\n\n// ---------------------------------------------------------------------------\n// queryHybrid — 4 路 dispatcher\n// ---------------------------------------------------------------------------\n\n/**\n * Hybrid 分层召回：向量三层 + BM25 三层 + RRF 融合。\n * 跟 queryLayered 同签名（多一个可选 `k` 参数），可在上层命令里用 `--hybrid` flag 切换。\n * 不做 LLM re-rank（先生决定本轮不上，留给未来）。\n *\n * **23c 改**：新增可选 `k` 参数透传到 rrfMerge 的 RRF 公式常数（默认 60）。\n * 暴露此参数是给实验调优用（小 k 让排名靠前 item 权重更突出，大 k 更平滑），\n * cli 暂不暴露 flag（保持 surface 简洁向后兼容）。\n */\nexport function queryHybrid(\n db: Db,\n embedding: Float32Array,\n queryText: string,\n topK: number,\n threshold: number,\n k?: number,\n): QueryResult[] {\n // 两路各召回 topK * 2 作为候选，给 RRF 足够的排名信息\n const candN = topK * 2;\n const vecResults = queryLayered(db, embedding, candN, threshold);\n const bm25Results = queryBM25Layered(db, queryText, candN);\n return rrfMerge([vecResults, bm25Results], topK, k);\n}\n","/**\n * vectordb/status.ts — 检索模式推荐 + 全库 status 元数据\n *\n * 批次 22e strangler fig 第五步：从 src/lib/vectordb.ts copy 出 computeMode + getStatus。\n * 原 vectordb.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import。22f 才切换 dispatcher 并删旧。\n *\n * 职责：\n * - `computeMode`：纯函数，按 indexed_files 对比 MODE_THRESHOLD_FILES 决定推荐 text / vector\n * - `getStatus`：读路径，打开 db → COUNT 各表 → 读 meta(last_sync/model/dim) → 调\n * collectFiles 拿 total_indexable_files → 调 computeMode 拼 StatusInfo 返回\n *\n * commands/vector.ts 的 `vector status` 子命令直接调 getStatus 拿 JSON 给 wiki-query\n * skill 读 mode 字段决定 text/vector 检索路径。\n */\n\nimport { existsSync } from 'node:fs';\nimport { join } from 'node:path';\n\nimport * as logger from '../../utils/logger.js';\nimport { collectFiles } from './files.js';\nimport { EMBEDDING_DIM, MODE_THRESHOLD_FILES, openDb } from './schema.js';\nimport type { StatusInfo } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// computeMode — 纯函数：indexed + indexedFiles → mode + reason\n// ---------------------------------------------------------------------------\n\n/**\n * 根据 indexed_files 决定检索模式推荐。\n * - 向量库未建 → text（没得选）\n * - indexed_files < 阈值 → text（Read 三层精度最高）\n * - indexed_files >= 阈值 → vector（扁平 Read 太慢）\n */\nfunction computeMode(\n indexed: boolean,\n indexedFiles: number,\n): { mode: 'text' | 'vector'; reason: string } {\n if (!indexed) {\n return {\n mode: 'text',\n reason: 'vector index not built; text Read is the only option',\n };\n }\n if (indexedFiles < MODE_THRESHOLD_FILES) {\n return {\n mode: 'text',\n reason: `indexed_files=${indexedFiles} < ${MODE_THRESHOLD_FILES}; Read three-tier is sharpest at small scale`,\n };\n }\n return {\n mode: 'vector',\n reason: `indexed_files=${indexedFiles} >= ${MODE_THRESHOLD_FILES}; flat Read too slow, switch to layered vector retrieval`,\n };\n}\n\n// ---------------------------------------------------------------------------\n// getStatus — 读全库元数据，拼 StatusInfo\n// ---------------------------------------------------------------------------\n\n/**\n * 读 `<corpus>/.wiki/vector.sqlite` 元数据：\n * - 不存在 → 返回 `{indexed: false, message, mode: 'text'}`（mode_threshold + mode_reason 仍填）\n * - 存在 → openDb → COUNT documents/chunks/dir_summaries/page_summaries\n * + 读 meta(last_sync/model/dim) + collectFiles 算 total_indexable_files\n * + computeMode 决定 mode / mode_reason\n *\n * **23a 改动**：原沉默 catch（老 db 缺 dir_summaries / page_summaries 表的兼容兜底）\n * 改为 `logger.warn(...)` + 明确注释。dirCount / pageCount 留 0 不阻塞 status 输出。\n */\nexport async function getStatus(corpus: string): Promise<StatusInfo> {\n const dbPath = join(corpus, '.wiki', 'vector.sqlite');\n if (!existsSync(dbPath)) {\n const rec = computeMode(false, 0);\n return {\n indexed: false,\n message: \"No vector index found. Run 'lorekit vector sync' first.\",\n mode: rec.mode,\n mode_threshold: MODE_THRESHOLD_FILES,\n mode_reason: rec.reason,\n };\n }\n\n const db = await openDb(corpus);\n\n const docCount = (db.prepare('SELECT COUNT(*) as n FROM documents').get() as { n: number }).n;\n const chunkCount = (db.prepare('SELECT COUNT(*) as n FROM chunks').get() as { n: number }).n;\n const lastSync = db.prepare(\"SELECT value FROM meta WHERE key = 'last_sync'\").get() as\n | { value: string }\n | undefined;\n const model = db.prepare(\"SELECT value FROM meta WHERE key = 'model'\").get() as\n | { value: string }\n | undefined;\n const dim = db.prepare(\"SELECT value FROM meta WHERE key = 'dim'\").get() as\n | { value: string }\n | undefined;\n\n const totalFiles = collectFiles(corpus).length;\n\n let dirCount = 0;\n let pageCount = 0;\n try {\n dirCount = (db.prepare('SELECT COUNT(*) as n FROM dir_summaries').get() as { n: number }).n;\n pageCount = (db.prepare('SELECT COUNT(*) as n FROM page_summaries').get() as { n: number }).n;\n } catch (e) {\n // 老 db（批次 22 之前的版本）可能缺 dir_summaries / page_summaries 表，\n // 留 dirCount/pageCount=0 不阻塞 status 输出；下次 lorekit sync 会通过 openDb\n // 的 DDL CREATE IF NOT EXISTS 自动建表。\n logger.warn(`getStatus: layered tables missing, treat as 0 (${(e as Error).message})`);\n }\n\n db.close();\n\n const rec = computeMode(true, docCount);\n\n return {\n indexed: true,\n total_indexable_files: totalFiles,\n indexed_files: docCount,\n chunks: chunkCount,\n layered: { dirs: dirCount, pages: pageCount },\n embedding_dim: dim ? parseInt(dim.value, 10) : EMBEDDING_DIM,\n last_sync: lastSync?.value ?? null,\n model: model?.value ?? null,\n backend: 'ollama',\n mode: rec.mode,\n mode_threshold: MODE_THRESHOLD_FILES,\n mode_reason: rec.reason,\n };\n}\n","/**\n * vectordb/index.ts — 子模块对外主入口（barrel re-export）\n *\n * 批次 22e strangler fig 第五步：建主入口模块。本文件**不含 runtime 代码**，\n * 仅 re-export 公开 API；实现散在 22a-22d + 22e 的 9 个子文件里。\n *\n * 22e 阶段：本文件目前未被任何调用方 import；commands/vector.ts 仍 dynamic\n * import 旧 src/lib/vectordb.ts。22f 才切换 + 删旧。\n *\n * **公开 surface**（commands/*.ts 真正用到的 API）：\n * - 9 个 value：openDb / syncFile / buildLayeredIndex / collectFiles\n * + queryFlat / queryLayered / queryBM25Layered / queryHybrid + getStatus\n * - 1 个额外算法 export：rrfMerge（commands 暂未用，但作为 hybrid 配套算法暴露）\n * - 2 个常量：EMBEDDING_DIM / MODE_THRESHOLD_FILES\n * - 3 个 type：Db / StatusInfo / QueryResult\n *\n * **不 re-export 的内部 helper**（保持封装，commands 不应直接调用）：\n * - sha256 / float32ToBuffer / distanceToScore / shouldIndex / extractPageSummary（files.ts）\n * - sanitizeFtsQuery（query-bm25.ts，私有）\n * - parseIndexSections / parseIndexEntries / findAllIndexFiles（build-layered-index.ts，私有）\n * - DDL / FTS_DDL / vecDdl / loadSqlite（schema.ts，仅 openDb 内部用）\n * - EmbedFn type（sync.ts + build-layered-index.ts 双 inline，commands 自定义实现喂入）\n *\n * **EmbedFn 决策**（22e 拍板）：保持双 inline 不上提到 schema.ts。理由：\n * (a) commands 不用 EmbedFn type（commands 自定义实现喂入 syncFile / buildLayeredIndex）\n * (b) 上提引入 sync/build-layered → schema.ts 的额外耦合\n * (c) 仅 2 处 inline，type 定义 1 行 + 注释 2 行，复制成本极小\n */\n\n// ---------------------------------------------------------------------------\n// 公开 value（commands/*.ts 用）\n// ---------------------------------------------------------------------------\n\nexport { openDb } from './schema.js';\nexport { syncFile } from './sync.js';\nexport { buildLayeredIndex } from './build-layered-index.js';\nexport { queryFlat } from './query-flat.js';\nexport { queryLayered } from './query-layered.js';\nexport { queryBM25Layered } from './query-bm25.js';\nexport { queryHybrid, rrfMerge } from './query-hybrid.js';\nexport { getStatus } from './status.js';\nexport { collectFiles } from './files.js';\n\n// ---------------------------------------------------------------------------\n// 公开常量\n// ---------------------------------------------------------------------------\n\nexport { EMBEDDING_DIM, MODE_THRESHOLD_FILES } from './schema.js';\n\n// ---------------------------------------------------------------------------\n// 公开 type\n// ---------------------------------------------------------------------------\n\nexport type { Db, StatusInfo, QueryResult } from './schema.js';\n","#!/usr/bin/env node\nimport { existsSync } from 'node:fs';\nimport { Command } from 'commander';\nimport chalk from 'chalk';\nimport Database from 'better-sqlite3';\nimport { findCorpus, collectMdFiles } from './lib/corpus.js';\nimport { debug, print } from './utils/logger.js';\nimport { readVersion } from './utils/fs.js';\n\n// commands\nimport { initCommand } from './commands/init.js';\nimport { doctorCommand } from './commands/doctor.js';\nimport { statsCommand } from './commands/stats.js';\nimport { lintCommand } from './commands/lint.js';\nimport { auditCommand } from './commands/audit.js';\nimport { indexCommand } from './commands/dir-index.js';\nimport { installSkillsCommand } from './commands/install-skills.js';\nimport { snapshotCommand } from './commands/snapshot.js';\nimport { restoreCommand } from './commands/restore.js';\nimport { searchCommand } from './commands/search.js';\nimport { vectorCommand } from './commands/vector.js';\nimport { fetchCommand } from './commands/fetch.js';\nimport { ingestCommand } from './commands/ingest.js';\nimport { syncCommand } from './commands/sync.js';\nimport { obsidianTuneCommand } from './commands/obsidian-tune.js';\nimport { removeCommand } from './commands/remove.js';\nimport { gbrainCommand } from './commands/gbrain.js';\n\nconst version = readVersion();\n\nfunction showBanner() {\n const corpus = findCorpus();\n let pages = '—';\n let indexed = '0';\n let model = '—';\n\n if (corpus) {\n try {\n pages = String(collectMdFiles(corpus).length);\n } catch (e) {\n // banner 是 best-effort 装饰，corpus 扫失败时不阻塞用户操作 — 仅 debug 留痕\n debug(`banner: collectMdFiles failed: ${(e as Error).message}`);\n }\n\n try {\n const dbPath = `${corpus}/.wiki/vector.sqlite`;\n if (existsSync(dbPath)) {\n const db = new Database(dbPath, { readonly: true });\n const cntRow = db.prepare('SELECT COUNT(*) as c FROM documents').get() as\n | { c: number }\n | undefined;\n indexed = String(cntRow?.c ?? 0);\n const row = db.prepare(\"SELECT value FROM meta WHERE key='model'\").get() as\n | { value: string }\n | undefined;\n model = row?.value ?? '—';\n db.close();\n }\n } catch (e) {\n // 向量库读失败（坏文件 / 锁 / native 加载错）不该阻断 banner 显示\n debug(`banner: vector.sqlite read failed: ${(e as Error).message}`);\n }\n }\n\n const short = corpus && corpus.length > 45 ? '...' + corpus.slice(-42) : (corpus ?? '—');\n const B = chalk.blue;\n const BB = chalk.blueBright.bold;\n const C = chalk.cyan;\n const D = chalk.dim;\n const W = chalk.white.bold;\n\n print();\n print(` ${BB('██╗ ██████╗ ██████╗ ███████╗██╗ ██╗██╗████████╗')}`);\n print(` ${BB('██║ ██╔═══██╗██╔══██╗██╔════╝██║ ██╔╝██║╚══██╔══╝')}`);\n print(` ${BB('██║ ██║ ██║██████╔╝█████╗ █████╔╝ ██║ ██║ ')}`);\n print(` ${B('██║ ██║ ██║██╔══██╗██╔══╝ ██╔═██╗ ██║ ██║ ')}`);\n print(` ${B('███████╗╚██████╔╝██║ ██║███████╗██║ ██╗██║ ██║ ')}`);\n print(` ${D('╚══════╝ ╚═════╝ ╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝ ')}`);\n print(` ${D('Personal LLM Wiki Toolkit')} ${C(`v${version}`)}`);\n print();\n print(` ${C('corpus')} ${short}`);\n print(` ${C('pages')} ${pages.padEnd(10)} ${C('indexed')} ${indexed}`);\n if (model !== '—') print(` ${C('model')} ${model}`);\n print();\n print(` ${W('$ lorekit doctor')} 健康检查`);\n print(` ${W('$ lorekit fetch')} 抓取网页`);\n print(` ${W('$ lorekit search')} 搜索`);\n print(` ${W('$ lorekit --help')} 所有命令`);\n print();\n}\n\nconst program = new Command();\n\n// CONVENTIONS #4：commander 默认对 missing arg / unknown command 都退出 1，\n// 跟我们\"参数错→2\"的语义不匹配。改用 exitOverride 拦截后按错误码分类。\nconst ARG_ERROR_CODES = new Set([\n 'commander.missingArgument',\n 'commander.missingMandatoryOptionValue',\n 'commander.invalidArgument',\n 'commander.invalidOptionArgument',\n 'commander.unknownCommand',\n 'commander.unknownOption',\n 'commander.excessArguments',\n]);\nprogram.exitOverride((cmdErr) => {\n // help / version 是正常退出\n if (\n cmdErr.code === 'commander.help' ||\n cmdErr.code === 'commander.version' ||\n cmdErr.code === 'commander.helpDisplayed'\n ) {\n process.exit(0);\n }\n if (ARG_ERROR_CODES.has(cmdErr.code)) {\n process.exit(2);\n }\n process.exit(cmdErr.exitCode || 1);\n});\n\nprogram.name('lorekit').version(version).description('Personal LLM Wiki Toolkit');\n\n// register commands\ninitCommand(program);\ndoctorCommand(program);\nstatsCommand(program);\nlintCommand(program);\nauditCommand(program);\nindexCommand(program);\ninstallSkillsCommand(program);\nsnapshotCommand(program);\nrestoreCommand(program);\nsearchCommand(program);\nvectorCommand(program);\nfetchCommand(program);\ningestCommand(program);\nsyncCommand(program);\nobsidianTuneCommand(program);\nremoveCommand(program);\ngbrainCommand(program);\n\n// no subcommand → show banner\nif (process.argv.length <= 2) {\n showBanner();\n} else {\n program.parse();\n}\n","import { existsSync, readFileSync, readdirSync, statSync } from 'node:fs';\nimport { join, dirname, basename } from 'node:path';\nimport matter from 'gray-matter';\nimport { alwaysExcludeNames } from './paths.js';\nimport { debug } from '../utils/logger.js';\n\nexport function findCorpus(startDir?: string): string | null {\n let dir = startDir || process.cwd();\n while (dir !== '/' && dir) {\n if (existsSync(join(dir, '.wiki')) || existsSync(join(dir, 'CLAUDE.md'))) {\n return dir;\n }\n dir = dirname(dir);\n }\n return null;\n}\n\nexport function requireCorpus(startDir?: string): string {\n const corpus = findCorpus(startDir);\n if (!corpus) {\n throw new Error('not inside a corpus (no .wiki/ or CLAUDE.md found)');\n }\n return corpus;\n}\n\nexport interface Frontmatter {\n type?: string;\n title?: string;\n slug?: string;\n created?: string;\n updated?: string | Date;\n [key: string]: unknown;\n}\n\nexport function extractFrontmatter(filePath: string): Frontmatter {\n try {\n const content = readFileSync(filePath, 'utf-8');\n const { data } = matter(content);\n return data as Frontmatter;\n } catch (e) {\n // 文件读不到 / YAML 损坏时返回空对象。在 lint / index 等命令里被大量\n // 调用，warn 会刷屏，所以走 debug；真有异常先生开 LOREKIT_DEBUG=1 复现\n debug(`extractFrontmatter(${filePath}) failed: ${(e as Error).message}`);\n return {};\n }\n}\n\nexport function hasFrontmatter(filePath: string): boolean {\n try {\n const first = readFileSync(filePath, 'utf-8').slice(0, 4);\n return first === '---\\n' || first === '---\\r';\n } catch (e) {\n // 同 extractFrontmatter：批量调用，走 debug\n debug(`hasFrontmatter(${filePath}) failed: ${(e as Error).message}`);\n return false;\n }\n}\n\nexport function extractFrontmatterField(filePath: string, key: string): string | undefined {\n const fm = extractFrontmatter(filePath);\n const val = fm[key];\n return typeof val === 'string' ? val : undefined;\n}\n\n/**\n * Find an existing source page in 原料/ that has the given source_url.\n * Returns the absolute path or null.\n */\nexport function findSourceByUrl(corpus: string, url: string): string | null {\n const sourcesRoot = join(corpus, '原料');\n if (!existsSync(sourcesRoot)) return null;\n for (const mdPath of collectMdFiles(sourcesRoot)) {\n const fm = extractFrontmatter(mdPath);\n if (fm.source_url === url || fm.url === url) return mdPath;\n }\n return null;\n}\n\nexport function collectMdFiles(dir: string, opts?: { excludeIndex?: boolean }): string[] {\n const results: string[] = [];\n if (!existsSync(dir)) return results;\n\n function walk(d: string) {\n for (const entry of readdirSync(d, { withFileTypes: true })) {\n if (entry.name.startsWith('.')) continue;\n const full = join(d, entry.name);\n if (entry.isDirectory()) {\n walk(full);\n } else if (entry.name.endsWith('.md') && !alwaysExcludeNames.has(entry.name)) {\n results.push(full);\n }\n }\n }\n\n walk(dir);\n return results.sort();\n}\n","import { createHash } from 'node:crypto';\nimport { readFileSync, statSync } from 'node:fs';\nimport { join, dirname } from 'node:path';\nimport { fileURLToPath } from 'node:url';\nimport { warn } from './logger.js';\n\nexport function sha256(filePath: string): string {\n const content = readFileSync(filePath);\n return createHash('sha256').update(content).digest('hex');\n}\n\nexport function fileMtime(filePath: string): Date {\n return statSync(filePath).mtime;\n}\n\nexport function lorekitRoot(): string {\n const thisFile = fileURLToPath(import.meta.url);\n // tsup bundles everything to dist/cli.js — dirname(thisFile) === dist/,\n // so the package root is one level up.\n return join(dirname(thisFile), '..');\n}\n\nexport function readVersion(): string {\n try {\n return readFileSync(join(lorekitRoot(), 'VERSION'), 'utf-8').trim();\n } catch (e) {\n // VERSION 文件应当随 lorekit 包发布，缺了说明安装环境异常 — 用 warn 不静默\n warn(`VERSION file missing or unreadable: ${(e as Error).message}`);\n return 'unknown';\n }\n}\n","import type { Command } from 'commander';\nimport {\n existsSync,\n mkdirSync,\n readdirSync,\n cpSync,\n readFileSync,\n writeFileSync,\n statSync,\n} from 'node:fs';\nimport { join, relative, resolve } from 'node:path';\nimport { createInterface } from 'node:readline';\nimport chalk from 'chalk';\nimport { ok, bad, warn, print } from '../utils/logger.js';\nimport { readVersion, lorekitRoot } from '../utils/fs.js';\n\nconst MINIMAL_DIRS = ['原料', '知识库/概念', '知识库/实体', '知识库/摘要', '每日', '系统', '.wiki'];\n\nfunction ask(question: string): Promise<string> {\n const rl = createInterface({ input: process.stdin, output: process.stdout });\n return new Promise((resolve) => {\n rl.question(question, (answer) => {\n rl.close();\n resolve(answer.trim());\n });\n });\n}\n\nfunction isDirEmpty(dir: string): boolean {\n if (!existsSync(dir)) return true;\n const entries = readdirSync(dir).filter((n) => n !== '.DS_Store' && n !== '.git');\n return entries.length === 0;\n}\n\n/**\n * Recursively copy files from src to dest, skipping files that already exist.\n *\n * 顶层目录 `.obsidian/` 由 `deployObsidianGraphConfig` 与 `deployObsidianPlugin`\n * 单独处理（safe-write + 用户提示），这里跳过避免重复/越权覆盖。\n */\nfunction copyTemplateFiles(src: string, dest: string, isRoot = true) {\n if (!existsSync(dest)) mkdirSync(dest, { recursive: true });\n\n for (const entry of readdirSync(src, { withFileTypes: true })) {\n // 顶层 `.obsidian/` 单独由 deployObsidian* 处理\n if (isRoot && entry.isDirectory() && entry.name === '.obsidian') continue;\n\n const srcPath = join(src, entry.name);\n const destPath = join(dest, entry.name);\n\n if (entry.isDirectory()) {\n copyTemplateFiles(srcPath, destPath, false);\n } else {\n if (!existsSync(destPath)) {\n mkdirSync(join(destPath, '..'), { recursive: true });\n cpSync(srcPath, destPath);\n }\n }\n }\n}\n\nfunction deployObsidianPlugin(corpusPath: string) {\n const pluginSrc = join(lorekitRoot(), 'plugins', 'obsidian-audit');\n const pluginDest = join(corpusPath, '.obsidian', 'plugins', 'lorekit-audit');\n\n if (!existsSync(pluginSrc)) {\n warn('obsidian-audit plugin not found in lorekit install, skipping');\n return;\n }\n\n mkdirSync(pluginDest, { recursive: true });\n for (const file of readdirSync(pluginSrc)) {\n cpSync(join(pluginSrc, file), join(pluginDest, file));\n }\n ok('deployed obsidian-audit plugin → .obsidian/plugins/lorekit-audit/');\n}\n\n/**\n * safe-write `.obsidian/graph.json`：\n * - 已存在 → 跳过 + stderr 警告（保留用户自定义的 colorGroups / forceGravity 等）\n * - 目标已有 `.obsidian/` 但缺 graph.json → 只写 graph.json\n * - 目标完全没 `.obsidian/` → 建目录 + 写 graph.json\n *\n * 批次 25 引入：把\"lorekit 决定的结构（_工作台 / _INDEX / 系统 ...）\"\n * 对应的 Obsidian graph filter 作为预设内置，用户无需自己发明一遍。\n */\nfunction deployObsidianGraphConfig(corpusPath: string) {\n const src = join(lorekitRoot(), 'templates', 'default-corpus', '.obsidian', 'graph.json');\n if (!existsSync(src)) {\n // 模板缺失不阻塞 init；warn 即可\n warn('templates/default-corpus/.obsidian/graph.json not found, skipping graph config');\n return;\n }\n\n const destDir = join(corpusPath, '.obsidian');\n const dest = join(destDir, 'graph.json');\n\n if (existsSync(dest)) {\n // 绝对不许覆盖用户已有的 graph.json（可能含 colorGroups / forceGravity 等个性化字段）\n warn('.obsidian/graph.json 已存在，跳过写入。推荐 filter 见 docs/QUICKSTART.md');\n return;\n }\n\n if (!existsSync(destDir)) mkdirSync(destDir, { recursive: true });\n cpSync(src, dest);\n ok('deployed Obsidian graph filter → .obsidian/graph.json');\n}\n\nfunction createWikiMeta(corpusPath: string) {\n const wikiDir = join(corpusPath, '.wiki');\n mkdirSync(wikiDir, { recursive: true });\n\n const version = readVersion();\n writeFileSync(join(wikiDir, 'version'), version + '\\n');\n\n const configPath = join(wikiDir, 'config.yaml');\n if (!existsSync(configPath)) {\n writeFileSync(\n configPath,\n [\n '# lorekit corpus config',\n `version: \"${version}\"`,\n 'lang: zh-CN',\n 'frontmatter_required: true',\n '',\n ].join('\\n'),\n );\n }\n ok(`created .wiki/version (${version}) + config.yaml`);\n}\n\nexport function initCommand(program: Command) {\n program\n .command('init')\n .argument('[path]', 'target directory', '.')\n .option('--in-place', 'initialize in-place even if directory is non-empty')\n .option('--minimal', 'only create core directories (no template files)')\n .description('initialize a new lorekit corpus')\n .action(async (targetPath: string, opts: { inPlace?: boolean; minimal?: boolean }) => {\n const resolved = resolve(targetPath);\n const templateDir = join(lorekitRoot(), 'templates', 'default-corpus');\n\n if (opts.minimal) {\n // Minimal mode: just create core directories\n for (const dir of MINIMAL_DIRS) {\n mkdirSync(join(resolved, dir), { recursive: true });\n }\n createWikiMeta(resolved);\n ok(`minimal corpus initialized at ${resolved}`);\n return;\n }\n\n if (!isDirEmpty(resolved) && !opts.inPlace) {\n print(chalk.yellow(`\\n target directory is not empty: ${resolved}\\n`));\n const answer = await ask(\n ' [b] backup & init [i] in-place (skip existing) [c] cancel\\n > ',\n );\n\n if (answer === 'c' || answer === 'C' || answer === '') {\n bad('cancelled');\n return;\n }\n if (answer === 'b' || answer === 'B') {\n const backupDir = resolved + '.bak.' + Date.now();\n cpSync(resolved, backupDir, { recursive: true });\n ok(`backed up to ${backupDir}`);\n }\n // answer 'i'/'b' both fall through to in-place copy\n }\n\n // Copy template files (skip existing)\n if (existsSync(templateDir)) {\n copyTemplateFiles(templateDir, resolved);\n ok('template files copied (skipped existing)');\n } else {\n warn('template directory not found, creating minimal structure');\n for (const dir of MINIMAL_DIRS) {\n mkdirSync(join(resolved, dir), { recursive: true });\n }\n }\n\n createWikiMeta(resolved);\n deployObsidianGraphConfig(resolved);\n deployObsidianPlugin(resolved);\n\n print();\n ok(chalk.bold(`corpus initialized at ${resolved}`));\n });\n}\n","import type { Command } from 'commander';\nimport { existsSync, lstatSync, readFileSync, readdirSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport chalk from 'chalk';\nimport { ok, bad, warn, print, out } from '../utils/logger.js';\nimport { requireCorpus, collectMdFiles, hasFrontmatter } from '../lib/corpus.js';\nimport { isIndexExcluded, isFolderPackage } from '../lib/paths.js';\nimport {\n getRecommendedFilter,\n readCorpusFilter,\n isFilterComplete,\n} from '../lib/obsidian.js';\nimport {\n doctorGbrain,\n type GbrainDoctorIssue,\n type GbrainDoctorResult,\n} from '../lib/integrations/gbrain.js';\n\nconst EXPECTED_DIRS = [\n '每日',\n '知识库/实体',\n '知识库/概念',\n '知识库/专题',\n '原料',\n '原料/录音',\n '写作',\n '系统',\n '_工作台',\n];\n\ntype DoctorStatus = 'ok' | 'warn' | 'error';\ntype DoctorSectionName =\n | 'directories'\n | 'wikiMetadata'\n | 'frontmatter'\n | 'indexFiles'\n | 'archive'\n | 'obsidian'\n | 'integrations';\n\ninterface DoctorIssue {\n section: DoctorSectionName | 'gbrain';\n severity: 'warn' | 'error';\n message: string;\n recommendation?: string;\n}\n\ninterface DoctorSectionReport {\n status: DoctorStatus;\n [key: string]: unknown;\n}\n\nexport interface DoctorRunReport {\n status: DoctorStatus;\n generatedAt: string;\n corpus: string;\n sections: Partial<Record<DoctorSectionName, DoctorSectionReport>>;\n issues: DoctorIssue[];\n hardIssues: number;\n}\n\nexport interface DoctorOptions {\n section?: 'all' | 'integrations';\n}\n\nfunction inspectDirs(corpus: string): { missing: string[] } {\n const missing: string[] = [];\n for (const dir of EXPECTED_DIRS) {\n const full = join(corpus, dir);\n if (!existsSync(full)) missing.push(dir);\n }\n return { missing };\n}\n\nfunction checkDirs(corpus: string): number {\n const { missing } = inspectDirs(corpus);\n for (const dir of EXPECTED_DIRS) {\n if (missing.includes(dir)) bad(`${dir}/ ${chalk.dim('missing')}`);\n else ok(`${dir}/`);\n }\n return missing.length;\n}\n\nfunction inspectWikiVersion(corpus: string): { exists: boolean; version: string | null } {\n const versionFile = join(corpus, '.wiki', 'version');\n if (existsSync(versionFile)) {\n const ver = readFileSync(versionFile, 'utf-8').trim();\n return { exists: true, version: ver };\n }\n return { exists: false, version: null };\n}\n\nfunction checkWikiVersion(corpus: string): number {\n const result = inspectWikiVersion(corpus);\n if (result.exists) {\n ok(`.wiki/version → ${result.version}`);\n return 0;\n }\n bad('.wiki/version missing');\n return 1;\n}\n\nfunction inspectFrontmatterCoverage(corpus: string) {\n const files = collectMdFiles(corpus);\n const withFm = files.filter((f) => hasFrontmatter(f)).length;\n const total = files.length;\n const pct = total === 0 ? 100 : Math.round((withFm / total) * 100);\n return { withFrontmatter: withFm, total, pct };\n}\n\nfunction checkFrontmatterCoverage(corpus: string) {\n const { withFrontmatter, total, pct } = inspectFrontmatterCoverage(corpus);\n const color = pct >= 90 ? chalk.green : pct >= 60 ? chalk.yellow : chalk.red;\n const icon = pct >= 90 ? '✓' : pct >= 60 ? '⚠' : '✗';\n print(`${color(icon)} frontmatter coverage: ${withFrontmatter}/${total} (${pct}%)`);\n}\n\nfunction findMissingIndexDirs(corpus: string): string[] {\n const missing: string[] = [];\n\n function walk(dir: string) {\n if (!existsSync(dir)) return;\n\n for (const entry of readdirSync(dir, { withFileTypes: true })) {\n if (entry.name.startsWith('.')) continue;\n if (!entry.isDirectory()) continue;\n\n const full = join(dir, entry.name);\n const rel = relative(corpus, full);\n\n // 复用 index 命令的排除规则：不对这些目录要求 _INDEX.md\n if (isIndexExcluded(rel)) continue;\n // 目录包装式原料（xxx/article.md）是一个 entry，不是容器——不需要 _INDEX.md\n if (isFolderPackage(full)) continue;\n\n // 本目录是否应该有 _INDEX.md：\n // 有直接 .md 文件 或 有目录包装式原料子目录\n let shouldHaveIndex = false;\n for (const name of readdirSync(full)) {\n if (name.startsWith('.')) continue;\n if (name === '_INDEX.md' || name === '.gitkeep') continue;\n const childPath = join(full, name);\n let stat;\n try {\n stat = lstatSync(childPath);\n } catch {\n continue;\n }\n if (stat.isFile() && name.endsWith('.md')) {\n shouldHaveIndex = true;\n break;\n }\n if (stat.isDirectory() && isFolderPackage(childPath)) {\n shouldHaveIndex = true;\n break;\n }\n }\n\n if (shouldHaveIndex && !existsSync(join(full, '_INDEX.md'))) {\n missing.push(rel);\n }\n walk(full);\n }\n }\n\n walk(corpus);\n return missing;\n}\n\nfunction checkIndexFiles(corpus: string): number {\n const missing = findMissingIndexDirs(corpus);\n for (const rel of missing) warn(`_INDEX.md missing in ${rel}/`);\n if (missing.length === 0) {\n ok('all directories with .md files have _INDEX.md');\n }\n return missing.length;\n}\n\n/**\n * 检查 .obsidian/graph.json filter 是否含推荐项（批次 26 触达老用户）。\n * obsidian 是可选用途，不阻塞 doctor 整体绿 —— 故意不计入 issues 总数。\n */\nfunction inspectObsidianGraph(corpus: string): DoctorSectionReport {\n try {\n const recommended = getRecommendedFilter();\n const cur = readCorpusFilter(corpus);\n if (!cur.exists) {\n return {\n status: 'warn',\n message: 'graph filter 不完整，运行 lorekit obsidian-tune 查看详情',\n };\n }\n if (isFilterComplete(cur.search, recommended)) {\n return { status: 'ok', message: 'graph filter 完整' };\n }\n return {\n status: 'warn',\n message: 'graph filter 不完整，运行 lorekit obsidian-tune 查看详情',\n };\n } catch (e) {\n return { status: 'warn', message: `检查 graph filter 失败: ${(e as Error).message}` };\n }\n}\n\nfunction checkObsidianGraph(corpus: string): void {\n const result = inspectObsidianGraph(corpus);\n if (result.status === 'ok') ok(`obsidian: ${result.message}`);\n else warn(`obsidian: ${result.message}`);\n}\n\nfunction inspectArchive(corpus: string): DoctorSectionReport {\n const archiveDir = join(corpus, '_归档');\n if (existsSync(archiveDir)) {\n return { status: 'ok', exists: true };\n }\n return { status: 'warn', exists: false, message: '_归档/ not found (optional)' };\n}\n\nfunction checkArchive(corpus: string): number {\n const result = inspectArchive(corpus);\n if (result.status === 'ok') ok('_归档/ exists');\n else warn(String(result.message));\n return 0; // not a hard failure\n}\n\nfunction statusFromIssues(issues: DoctorIssue[]): DoctorStatus {\n if (issues.some((issue) => issue.severity === 'error')) return 'error';\n if (issues.length > 0) return 'warn';\n return 'ok';\n}\n\nfunction convertGbrainIssue(issue: GbrainDoctorIssue): DoctorIssue {\n return {\n section: 'gbrain',\n severity: issue.severity,\n message: issue.message,\n recommendation: issue.recommendation,\n };\n}\n\nfunction gbrainSection(gbrain: GbrainDoctorResult): DoctorSectionReport {\n return {\n status: gbrain.status,\n gbrain: {\n status: gbrain.status,\n installed: gbrain.gbrain.installed,\n binary: gbrain.gbrain.binary,\n version: gbrain.gbrain.version,\n brainInitialized: gbrain.gbrain.brainInitialized,\n manifestPath: gbrain.manifestPath,\n syncReportPath: gbrain.syncReportPath,\n issues: gbrain.issues,\n },\n };\n}\n\nexport async function runDoctorReport(\n corpus: string,\n opts: DoctorOptions = {},\n): Promise<DoctorRunReport> {\n const section = opts.section ?? 'all';\n if (section !== 'all' && section !== 'integrations') {\n throw new Error(`unsupported doctor section: ${section}`);\n }\n\n const report: DoctorRunReport = {\n status: 'ok',\n generatedAt: new Date().toISOString(),\n corpus,\n sections: {},\n issues: [],\n hardIssues: 0,\n };\n\n if (section === 'all') {\n const dirs = inspectDirs(corpus);\n report.sections.directories = {\n status: dirs.missing.length > 0 ? 'error' : 'ok',\n expected: EXPECTED_DIRS,\n missing: dirs.missing,\n };\n for (const dir of dirs.missing) {\n report.issues.push({\n section: 'directories',\n severity: 'error',\n message: `${dir}/ missing`,\n });\n }\n\n const wiki = inspectWikiVersion(corpus);\n report.sections.wikiMetadata = {\n status: wiki.exists ? 'ok' : 'error',\n version: wiki.version,\n versionFileExists: wiki.exists,\n };\n if (!wiki.exists) {\n report.issues.push({\n section: 'wikiMetadata',\n severity: 'error',\n message: '.wiki/version missing',\n });\n }\n\n const fm = inspectFrontmatterCoverage(corpus);\n report.sections.frontmatter = {\n status: fm.pct >= 90 ? 'ok' : fm.pct >= 60 ? 'warn' : 'error',\n ...fm,\n };\n\n const missingIndexes = findMissingIndexDirs(corpus);\n report.sections.indexFiles = {\n status: missingIndexes.length > 0 ? 'warn' : 'ok',\n missing: missingIndexes,\n };\n for (const rel of missingIndexes) {\n report.issues.push({\n section: 'indexFiles',\n severity: 'warn',\n message: `_INDEX.md missing in ${rel}/`,\n });\n }\n\n report.sections.archive = inspectArchive(corpus);\n report.sections.obsidian = inspectObsidianGraph(corpus);\n }\n\n const gbrain = await doctorGbrain(corpus);\n report.sections.integrations = gbrainSection(gbrain);\n report.issues.push(...gbrain.issues.map(convertGbrainIssue));\n\n report.hardIssues = report.issues.filter((issue) => issue.severity === 'error').length;\n report.status = statusFromIssues(report.issues);\n return report;\n}\n\n/**\n * 程序内复用入口：跑健康体检。\n * 返回 issue 总数。调用方自行决定要不要把退出码设成非零。\n */\nexport async function runDoctor(corpus: string): Promise<number> {\n print(chalk.bold(`\\nlorekit doctor — ${corpus}\\n`));\n\n let issues = 0;\n\n print(chalk.cyan('── directories ──'));\n issues += checkDirs(corpus);\n print();\n\n print(chalk.cyan('── wiki metadata ──'));\n issues += checkWikiVersion(corpus);\n print();\n\n print(chalk.cyan('── frontmatter ──'));\n checkFrontmatterCoverage(corpus);\n print();\n\n print(chalk.cyan('── index files ──'));\n issues += checkIndexFiles(corpus);\n print();\n\n print(chalk.cyan('── archive ──'));\n checkArchive(corpus);\n print();\n\n print(chalk.cyan('── obsidian ──'));\n checkObsidianGraph(corpus);\n print();\n\n print(chalk.cyan('── integrations ──'));\n const gbrain = await doctorGbrain(corpus);\n if (gbrain.status === 'ok') {\n ok('gbrain: integration healthy');\n } else {\n for (const issue of gbrain.issues) {\n const line = `gbrain: ${issue.message}. ${issue.recommendation}`;\n if (issue.severity === 'error') bad(line);\n else warn(line);\n }\n }\n const integrationErrors = gbrain.issues.filter((issue) => issue.severity === 'error').length;\n issues += integrationErrors;\n print();\n\n if (issues === 0) {\n print(chalk.green.bold('all checks passed ✓'));\n } else {\n print(chalk.yellow(`${issues} issue(s) found`));\n }\n print();\n\n return issues;\n}\n\nexport function doctorCommand(program: Command) {\n program\n .command('doctor')\n .description('run health checks on the corpus')\n .option('--json', 'output machine-readable doctor report', false)\n .option('--section <name>', 'only run a doctor section (currently: integrations)', 'all')\n .action(async (opts: { json?: boolean; section?: 'all' | 'integrations' | string }) => {\n const corpus = requireCorpus();\n if (opts.json) {\n const report = await runDoctorReport(corpus, {\n section: opts.section === 'integrations' ? 'integrations' : 'all',\n });\n out(JSON.stringify(report, null, 2));\n process.exitCode = report.hardIssues > 0 ? 1 : 0;\n return;\n }\n if (opts.section === 'integrations') {\n const report = await runDoctorReport(corpus, { section: 'integrations' });\n print(chalk.bold(`\\nlorekit doctor — ${corpus}\\n`));\n print(chalk.cyan('── integrations ──'));\n const integration = report.sections.integrations?.gbrain as\n | { issues?: GbrainDoctorIssue[] }\n | undefined;\n const issues = integration?.issues ?? [];\n if (issues.length === 0) ok('gbrain: integration healthy');\n for (const issue of issues) {\n const line = `gbrain: ${issue.message}. ${issue.recommendation}`;\n if (issue.severity === 'error') bad(line);\n else warn(line);\n }\n process.exitCode = report.hardIssues > 0 ? 1 : 0;\n return;\n }\n const issues = await runDoctor(corpus);\n process.exitCode = issues > 0 ? 1 : 0;\n });\n}\n","/**\n * obsidian.ts — Obsidian graph filter SSOT helper（批次 26）\n *\n * 推荐 filter 的单一事实源是 `templates/default-corpus/.obsidian/graph.json`。\n * obsidian-tune 命令与 doctor 集成都从这里读，避免和模板漂移。\n *\n * filter 完整性判断采用\"包含所有推荐 token\"——用户可能加了自己的\n * colorGroups / 额外 filter，只要把推荐项都覆盖到就算 OK，不要求完全相等。\n */\nimport { existsSync, readFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { lorekitRoot } from '../utils/fs.js';\n\nexport interface GraphConfig {\n search?: string;\n showTags?: boolean;\n showAttachments?: boolean;\n hideUnresolved?: boolean;\n showOrphans?: boolean;\n [key: string]: unknown;\n}\n\nexport interface CorpusFilterReadResult {\n exists: boolean;\n search?: string;\n raw?: GraphConfig;\n}\n\n/** 模板里的推荐 graph.json（完整对象）。读不到会 throw —— 模板属于包发布产物 */\nexport function getRecommendedGraphConfig(): GraphConfig {\n const tpl = join(lorekitRoot(), 'templates', 'default-corpus', '.obsidian', 'graph.json');\n const raw = readFileSync(tpl, 'utf-8');\n return JSON.parse(raw) as GraphConfig;\n}\n\n/** 推荐 filter 的 search 字符串（SSOT） */\nexport function getRecommendedFilter(): string {\n const cfg = getRecommendedGraphConfig();\n return cfg.search ?? '';\n}\n\n/** 读 corpus 内的 .obsidian/graph.json。不存在不抛错，返回 exists=false */\nexport function readCorpusFilter(corpus: string): CorpusFilterReadResult {\n const dest = join(corpus, '.obsidian', 'graph.json');\n if (!existsSync(dest)) return { exists: false };\n try {\n const raw = readFileSync(dest, 'utf-8');\n const parsed = JSON.parse(raw) as GraphConfig;\n return { exists: true, search: parsed.search, raw: parsed };\n } catch {\n // JSON 损坏视为存在但 filter 不可读 —— 当作 search 缺失处理\n return { exists: true, search: undefined };\n }\n}\n\n/**\n * 把 search 字符串拆 token（按空白）。\n * Obsidian search 语法 token 形如 `-path:\"_工作台\"` / `-file:\"_INDEX\"`，\n * 引号内含中文也安全：split 走简单空白，引号内不会含空白。\n */\nfunction tokenize(search: string): string[] {\n return search\n .split(/\\s+/)\n .map((t) => t.trim())\n .filter(Boolean);\n}\n\n/**\n * 完整性判断：actual 必须包含 recommended 拆出的全部 token（顺序无关、可有额外项）。\n * actual 缺失 / 空字符串都视为不完整。\n */\nexport function isFilterComplete(actual: string | undefined, recommended: string): boolean {\n if (!actual) return false;\n const want = new Set(tokenize(recommended));\n const have = new Set(tokenize(actual));\n for (const t of want) {\n if (!have.has(t)) return false;\n }\n return true;\n}\n\n/** 列出 actual 缺少哪些推荐 token（用于 diff 输出） */\nexport function missingTokens(actual: string | undefined, recommended: string): string[] {\n const have = new Set(actual ? tokenize(actual) : []);\n return tokenize(recommended).filter((t) => !have.has(t));\n}\n","import { existsSync, mkdirSync, readFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { sha256 } from '../../utils/fs.js';\nimport { getGbrainStatus, type GbrainStatusResult } from './gbrain-status.js';\nimport { exportForGbrain, type GbrainExportResult } from './gbrain-export.js';\nimport { readJsonFile, writeJsonFile, type GbrainExportManifest } from './manifest.js';\nimport { runExternalCommand, type ExternalCommandResult } from './process.js';\n\nexport { getGbrainStatus, exportForGbrain };\n\nexport interface GbrainSyncOptions {\n dryRun?: boolean;\n json?: boolean;\n exportEvenIfMissing?: boolean;\n}\n\nexport interface GbrainSyncResult {\n status: 'ok' | 'error';\n dryRun: boolean;\n startedAt: string;\n finishedAt: string;\n corpus: string;\n export: GbrainExportResult | null;\n gbrain: {\n binary: string;\n version: string | null;\n command: string[];\n exitCode: number | null;\n stdout: string;\n stderr: string;\n durationMs: number;\n } | null;\n gbrainImport?: { skipped: true; reason: string };\n warnings: string[];\n errors: string[];\n}\n\nexport interface GbrainDoctorIssue {\n section: 'gbrain';\n severity: 'warn' | 'error';\n message: string;\n recommendation: string;\n}\n\nexport interface GbrainDoctorResult {\n status: 'ok' | 'warn' | 'error';\n corpus: string;\n gbrain: GbrainStatusResult;\n manifestPath: string;\n syncReportPath: string;\n issues: GbrainDoctorIssue[];\n}\n\nexport interface GbrainQueryResult {\n status: 'ok' | 'error';\n source: 'gbrain';\n message: string;\n staleCheck: {\n skipped: boolean;\n status: GbrainDoctorResult['status'] | null;\n issues: GbrainDoctorIssue[];\n };\n gbrain: ExternalCommandResult | null;\n warnings: string[];\n errors: string[];\n}\n\nfunction syncReportPath(corpus: string): string {\n return join(corpus, '.wiki', 'integrations', 'gbrain', 'sync-report.json');\n}\n\nfunction writeSyncReport(corpus: string, result: GbrainSyncResult): void {\n const path = syncReportPath(corpus);\n mkdirSync(join(corpus, '.wiki', 'integrations', 'gbrain'), { recursive: true });\n writeJsonFile(path, result);\n}\n\nfunction commandSummary(binary: string, pagesDir: string): string[] {\n return [binary, 'import', pagesDir];\n}\n\nexport async function syncGbrain(\n corpus: string,\n opts: GbrainSyncOptions = {},\n): Promise<GbrainSyncResult> {\n const dryRun = opts.dryRun ?? false;\n const startedAt = new Date().toISOString();\n\n if (dryRun) {\n const exportResult = exportForGbrain(corpus, { dryRun: true });\n return {\n status: 'ok',\n dryRun: true,\n startedAt,\n finishedAt: new Date().toISOString(),\n corpus,\n export: exportResult,\n gbrain: null,\n gbrainImport: { skipped: true, reason: 'dry-run' },\n warnings: exportResult.warnings,\n errors: [],\n };\n }\n\n const gbrainStatus = await getGbrainStatus();\n if (!gbrainStatus.installed) {\n const exportResult = opts.exportEvenIfMissing\n ? exportForGbrain(corpus, { dryRun: false })\n : null;\n const result: GbrainSyncResult = {\n status: 'error',\n dryRun: false,\n startedAt,\n finishedAt: new Date().toISOString(),\n corpus,\n export: exportResult,\n gbrain: null,\n gbrainImport: { skipped: true, reason: 'gbrain-missing' },\n warnings: exportResult?.warnings ?? [],\n errors: ['gbrain is not installed', ...gbrainStatus.errors],\n };\n writeSyncReport(corpus, result);\n return result;\n }\n\n const exportResult = exportForGbrain(corpus, { dryRun: false });\n const importCommand = commandSummary(gbrainStatus.binary, exportResult.pagesDir);\n const external = await runExternalCommand({\n command: gbrainStatus.binary,\n args: ['import', exportResult.pagesDir],\n cwd: corpus,\n timeoutMs: 120_000,\n });\n\n const result: GbrainSyncResult = {\n status: external.exitCode === 0 ? 'ok' : 'error',\n dryRun: false,\n startedAt,\n finishedAt: new Date().toISOString(),\n corpus,\n export: exportResult,\n gbrain: {\n binary: gbrainStatus.binary,\n version: gbrainStatus.version,\n command: importCommand,\n exitCode: external.exitCode,\n stdout: external.stdout,\n stderr: external.stderr,\n durationMs: external.durationMs,\n },\n warnings: exportResult.warnings,\n errors: external.exitCode === 0 ? [] : [external.error || external.stderr || 'gbrain import failed'],\n };\n writeSyncReport(corpus, result);\n return result;\n}\n\nexport async function doctorGbrain(corpus: string): Promise<GbrainDoctorResult> {\n const issues: GbrainDoctorIssue[] = [];\n const gbrain = await getGbrainStatus();\n if (!gbrain.installed) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: 'GBrain binary is not installed',\n recommendation: 'Install GBrain only if you want graph retrieval: git clone + bun install + bun link',\n });\n }\n\n const manifestPath = join(corpus, '.wiki', 'integrations', 'gbrain-export', 'manifest.json');\n const syncPath = syncReportPath(corpus);\n const manifest = readJsonFile<GbrainExportManifest>(manifestPath);\n if (!manifest) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: 'GBrain export manifest is missing',\n recommendation: 'Run lorekit gbrain export',\n });\n } else {\n for (const page of manifest.pages) {\n const sourcePath = join(corpus, page.sourcePath);\n if (!existsSync(sourcePath)) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: `Exported page source is missing: ${page.sourcePath}`,\n recommendation: 'Run lorekit gbrain export to refresh the staging directory',\n });\n continue;\n }\n const currentHash = 'sha256:' + sha256(sourcePath);\n if (currentHash !== page.hash) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: `GBrain export is stale: ${page.sourcePath}`,\n recommendation: 'Run lorekit gbrain export or lorekit gbrain sync',\n });\n }\n }\n }\n\n if (!existsSync(syncPath)) {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: 'GBrain sync report is missing',\n recommendation: 'Run lorekit gbrain sync after export when GBrain is installed',\n });\n } else {\n try {\n const report = JSON.parse(readFileSync(syncPath, 'utf-8')) as { status?: string };\n if (report.status !== 'ok') {\n issues.push({\n section: 'gbrain',\n severity: 'warn',\n message: 'Last GBrain sync did not finish successfully',\n recommendation: 'Inspect .wiki/integrations/gbrain/sync-report.json and rerun sync',\n });\n }\n } catch (e) {\n issues.push({\n section: 'gbrain',\n severity: 'error',\n message: `GBrain sync report is unreadable: ${(e as Error).message}`,\n recommendation: 'Regenerate it with lorekit gbrain sync',\n });\n }\n }\n\n const hasError = issues.some((i) => i.severity === 'error');\n return {\n status: hasError ? 'error' : issues.length > 0 ? 'warn' : 'ok',\n corpus,\n gbrain,\n manifestPath,\n syncReportPath: syncPath,\n issues,\n };\n}\n\nexport interface GbrainQueryOptions {\n staleCheck?: boolean;\n}\n\nexport async function queryGbrain(\n corpus: string,\n text: string,\n opts: GbrainQueryOptions = {},\n): Promise<GbrainQueryResult> {\n const message =\n 'This answer comes from GBrain index generated from lorekit export. To persist new knowledge, use wiki-fileback / lorekit audit.';\n const shouldCheck = opts.staleCheck !== false;\n if (shouldCheck) {\n const check = await doctorGbrain(corpus);\n if (!check.gbrain.installed) {\n return {\n status: 'error',\n source: 'gbrain',\n message,\n staleCheck: { skipped: false, status: check.status, issues: check.issues },\n gbrain: null,\n warnings: check.issues.map((i) => i.message),\n errors: ['gbrain is not installed', ...check.gbrain.errors],\n };\n }\n if (check.status !== 'ok') {\n return {\n status: 'error',\n source: 'gbrain',\n message,\n staleCheck: { skipped: false, status: check.status, issues: check.issues },\n gbrain: null,\n warnings: check.issues.map((i) => i.message),\n errors: [\n 'GBrain export is not ready. Run lorekit gbrain sync first, or pass --no-stale-check to query anyway.',\n ...check.issues.map((i) => i.message),\n ],\n };\n }\n }\n\n const status = await getGbrainStatus();\n if (!status.installed) {\n return {\n status: 'error',\n source: 'gbrain',\n message,\n staleCheck: { skipped: !shouldCheck, status: null, issues: [] },\n gbrain: null,\n warnings: [],\n errors: ['gbrain is not installed', ...status.errors],\n };\n }\n\n const r = await runExternalCommand({\n command: status.binary,\n args: ['query', text],\n timeoutMs: 120_000,\n });\n return {\n status: r.exitCode === 0 ? 'ok' : 'error',\n source: 'gbrain',\n message,\n staleCheck: { skipped: !shouldCheck, status: shouldCheck ? 'ok' : null, issues: [] },\n gbrain: r,\n warnings: [],\n errors: r.exitCode === 0 ? [] : [r.error || r.stderr || 'gbrain query failed'],\n };\n}\n","import { existsSync } from 'node:fs';\nimport { homedir } from 'node:os';\nimport { join } from 'node:path';\nimport { runExternalCommand } from './process.js';\n\nexport const GBRAIN_INSTALL_HINT = [\n 'git clone https://github.com/garrytan/gbrain.git ~/code/gbrain',\n 'cd ~/code/gbrain',\n 'bun install',\n 'bun link',\n 'gbrain init',\n].join('\\n');\n\nexport interface GbrainStatusResult {\n installed: boolean;\n binary: string;\n version: string | null;\n brainInitialized: boolean;\n installHint: string;\n errors: string[];\n}\n\nexport async function getGbrainStatus(): Promise<GbrainStatusResult> {\n const binary = process.env.LOREKIT_GBRAIN_BIN || 'gbrain';\n const errors: string[] = [];\n const versionProbe = await runExternalCommand({\n command: binary,\n args: ['--version'],\n timeoutMs: 10_000,\n });\n\n if (versionProbe.exitCode !== 0) {\n errors.push(versionProbe.error || versionProbe.stderr.trim() || 'gbrain binary not installed');\n return {\n installed: false,\n binary,\n version: null,\n brainInitialized: existsSync(join(homedir(), '.gbrain')),\n installHint: GBRAIN_INSTALL_HINT,\n errors,\n };\n }\n\n const version = (versionProbe.stdout || versionProbe.stderr).trim() || null;\n return {\n installed: true,\n binary,\n version,\n brainInitialized: existsSync(join(homedir(), '.gbrain')),\n installHint: GBRAIN_INSTALL_HINT,\n errors,\n };\n}\n","import { spawn } from 'node:child_process';\n\nexport interface ExternalCommandArgs {\n command: string;\n args: string[];\n cwd?: string;\n timeoutMs?: number;\n}\n\nexport interface ExternalCommandResult {\n command: string;\n args: string[];\n exitCode: number;\n stdout: string;\n stderr: string;\n durationMs: number;\n timedOut: boolean;\n error?: string;\n}\n\nexport function runExternalCommand(opts: ExternalCommandArgs): Promise<ExternalCommandResult> {\n const startedAt = Date.now();\n const timeoutMs = opts.timeoutMs ?? 120_000;\n\n return new Promise((resolve) => {\n let stdout = '';\n let stderr = '';\n let settled = false;\n let timedOut = false;\n\n const child = spawn(opts.command, opts.args, {\n cwd: opts.cwd,\n shell: false,\n stdio: ['ignore', 'pipe', 'pipe'],\n });\n\n const timer = setTimeout(() => {\n timedOut = true;\n child.kill('SIGTERM');\n }, timeoutMs);\n\n child.stdout?.on('data', (chunk: Buffer) => {\n stdout += chunk.toString('utf-8');\n });\n child.stderr?.on('data', (chunk: Buffer) => {\n stderr += chunk.toString('utf-8');\n });\n\n child.on('error', (e: NodeJS.ErrnoException) => {\n if (settled) return;\n settled = true;\n clearTimeout(timer);\n resolve({\n command: opts.command,\n args: opts.args,\n exitCode: -1,\n stdout,\n stderr,\n durationMs: Date.now() - startedAt,\n timedOut,\n error: e.message,\n });\n });\n\n child.on('close', (code) => {\n if (settled) return;\n settled = true;\n clearTimeout(timer);\n resolve({\n command: opts.command,\n args: opts.args,\n exitCode: code ?? (timedOut ? 124 : 1),\n stdout,\n stderr,\n durationMs: Date.now() - startedAt,\n timedOut,\n });\n });\n });\n}\n","import { createHash } from 'node:crypto';\nimport {\n existsSync,\n mkdirSync,\n readFileSync,\n readdirSync,\n renameSync,\n statSync,\n writeFileSync,\n} from 'node:fs';\nimport { dirname, join, relative, resolve } from 'node:path';\nimport matter from 'gray-matter';\nimport {\n type GbrainExportManifest,\n type GbrainExportManifestPage,\n type GbrainExportManifestSkipped,\n writeJsonFile,\n} from './manifest.js';\n\nexport interface GbrainExportOptions {\n out?: string;\n dryRun?: boolean;\n}\n\nexport interface GbrainExportResult {\n status: 'ok' | 'warn';\n dryRun: boolean;\n corpus: string;\n exportDir: string;\n pagesDir: string;\n manifestPath: string;\n exportedAt: string;\n pagesExported: number;\n pagesSkipped: number;\n pages: GbrainExportManifestPage[];\n skipped: GbrainExportManifestSkipped[];\n warnings: string[];\n}\n\ninterface Candidate {\n absPath: string;\n sourcePath: string;\n}\n\nfunction toPosixPath(path: string): string {\n return path.split('\\\\').join('/');\n}\n\nfunction sha256Content(content: Buffer | string): string {\n return 'sha256:' + createHash('sha256').update(content).digest('hex');\n}\n\nfunction exportRoot(corpus: string, out?: string): string {\n if (!out) return join(corpus, '.wiki', 'integrations', 'gbrain-export');\n return resolve(corpus, out);\n}\n\nfunction collectKnowledgeMarkdown(corpus: string): {\n candidates: Candidate[];\n skipped: GbrainExportManifestSkipped[];\n warnings: string[];\n} {\n const root = join(corpus, '知识库');\n const candidates: Candidate[] = [];\n const skipped: GbrainExportManifestSkipped[] = [];\n const warnings: string[] = [];\n\n if (!existsSync(root)) {\n warnings.push('知识库/ not found; no pages exported');\n return { candidates, skipped, warnings };\n }\n\n function walk(dir: string): void {\n for (const entry of readdirSync(dir, { withFileTypes: true })) {\n if (entry.name.startsWith('.')) continue;\n const absPath = join(dir, entry.name);\n if (entry.isDirectory()) {\n walk(absPath);\n continue;\n }\n if (!entry.isFile() || !entry.name.endsWith('.md')) continue;\n\n const sourcePath = toPosixPath(relative(corpus, absPath));\n if (sourcePath === '知识库/模板' || sourcePath.startsWith('知识库/模板/')) {\n skipped.push({ sourcePath, reason: 'template file skipped by default' });\n continue;\n }\n if (entry.name === '_INDEX.md') {\n skipped.push({ sourcePath, reason: 'index file skipped by default' });\n continue;\n }\n if (entry.name === 'index.md') {\n skipped.push({ sourcePath, reason: 'local index file skipped by default' });\n continue;\n }\n candidates.push({ absPath, sourcePath });\n }\n }\n\n walk(root);\n candidates.sort((a, b) => a.sourcePath.localeCompare(b.sourcePath));\n skipped.sort((a, b) => a.sourcePath.localeCompare(b.sourcePath));\n return { candidates, skipped, warnings };\n}\n\nfunction ensureFreshExportDir(root: string, exportedAt: string): void {\n mkdirSync(root, { recursive: true });\n const backupRoot = join(root, 'backups', exportedAt.replace(/[:.]/g, '-'));\n let moved = false;\n\n for (const name of ['pages', 'manifest.json', 'README.md']) {\n const current = join(root, name);\n if (!existsSync(current)) continue;\n if (!moved) {\n mkdirSync(backupRoot, { recursive: true });\n moved = true;\n }\n renameSync(current, join(backupRoot, name));\n }\n}\n\nfunction normalizeForGbrain(raw: string, sourcePath: string, exportedAt: string): string {\n const parsed = matter(raw);\n const data: Record<string, unknown> = { ...parsed.data };\n delete data.slug;\n data.lorekit_source_path = sourcePath;\n data.lorekit_layer = 'artifact';\n data.lorekit_hash = sha256Content(raw);\n data.lorekit_exported_at = exportedAt;\n return matter.stringify(parsed.content, data);\n}\n\nfunction pageMeta(raw: string): { title: string | null; type: string | null } {\n const parsed = matter(raw);\n return {\n title: typeof parsed.data.title === 'string' ? parsed.data.title : null,\n type: typeof parsed.data.type === 'string' ? parsed.data.type : null,\n };\n}\n\nexport function exportForGbrain(corpus: string, opts: GbrainExportOptions = {}): GbrainExportResult {\n const dryRun = opts.dryRun ?? false;\n const exportedAt = new Date().toISOString();\n const root = exportRoot(corpus, opts.out);\n const pagesDir = join(root, 'pages');\n const manifestPath = join(root, 'manifest.json');\n const { candidates, skipped, warnings } = collectKnowledgeMarkdown(corpus);\n\n const pages: GbrainExportManifestPage[] = [];\n for (const candidate of candidates) {\n const rawBuffer = readFileSync(candidate.absPath);\n const raw = rawBuffer.toString('utf-8');\n const relUnderKnowledge = toPosixPath(relative(join(corpus, '知识库'), candidate.absPath));\n const exportPath = toPosixPath(join('pages', relUnderKnowledge));\n const meta = pageMeta(raw);\n pages.push({\n sourcePath: candidate.sourcePath,\n exportPath,\n title: meta.title,\n type: meta.type,\n hash: sha256Content(rawBuffer),\n bytes: statSync(candidate.absPath).size,\n status: 'exported',\n });\n }\n\n if (!dryRun) {\n ensureFreshExportDir(root, exportedAt);\n for (const candidate of candidates) {\n const raw = readFileSync(candidate.absPath, 'utf-8');\n const relUnderKnowledge = relative(join(corpus, '知识库'), candidate.absPath);\n const target = join(pagesDir, relUnderKnowledge);\n mkdirSync(dirname(target), { recursive: true });\n writeFileSync(target, normalizeForGbrain(raw, candidate.sourcePath, exportedAt), 'utf-8');\n }\n const manifest: GbrainExportManifest = {\n version: 1,\n integration: 'gbrain',\n source: 'lorekit',\n corpus,\n exportedAt,\n pages,\n skipped,\n warnings,\n };\n writeJsonFile(manifestPath, manifest);\n writeFileSync(\n join(root, 'README.md'),\n [\n '# GBrain export',\n '',\n 'Generated by `lorekit gbrain export`.',\n 'This directory is a staging copy for GBrain import; lorekit 知识库/ remains the source of truth.',\n '',\n ].join('\\n'),\n 'utf-8',\n );\n }\n\n return {\n status: warnings.length > 0 ? 'warn' : 'ok',\n dryRun,\n corpus,\n exportDir: root,\n pagesDir,\n manifestPath,\n exportedAt,\n pagesExported: pages.length,\n pagesSkipped: skipped.length,\n pages,\n skipped,\n warnings,\n };\n}\n","import { existsSync, readFileSync, writeFileSync } from 'node:fs';\n\nexport interface GbrainExportManifestPage {\n sourcePath: string;\n exportPath: string;\n title: string | null;\n type: string | null;\n hash: string;\n bytes: number;\n status: 'exported';\n}\n\nexport interface GbrainExportManifestSkipped {\n sourcePath: string;\n reason: string;\n}\n\nexport interface GbrainExportManifest {\n version: 1;\n integration: 'gbrain';\n source: 'lorekit';\n corpus: string;\n exportedAt: string;\n pages: GbrainExportManifestPage[];\n skipped: GbrainExportManifestSkipped[];\n warnings: string[];\n}\n\nexport function writeJsonFile(path: string, data: unknown): void {\n writeFileSync(path, JSON.stringify(data, null, 2) + '\\n', 'utf-8');\n}\n\nexport function readJsonFile<T>(path: string): T | null {\n if (!existsSync(path)) return null;\n return JSON.parse(readFileSync(path, 'utf-8')) as T;\n}\n","import type { Command } from 'commander';\nimport { readFileSync, statSync } from 'node:fs';\nimport { relative } from 'node:path';\nimport { requireCorpus, collectMdFiles, extractFrontmatter } from '../lib/corpus.js';\nimport { debug, out } from '../utils/logger.js';\n\nexport function statsCommand(program: Command) {\n program\n .command('stats')\n .description('output corpus statistics as JSON')\n .action(() => {\n const corpus = requireCorpus();\n const files = collectMdFiles(corpus);\n const now = Date.now();\n const sevenDays = 7 * 24 * 60 * 60 * 1000;\n\n const byType: Record<string, number> = {};\n const byDir: Record<string, number> = {};\n const inboundLinks = new Set<string>();\n let recentActive7d = 0;\n let lastUpdated = '';\n\n for (const file of files) {\n // by_type\n const fm = extractFrontmatter(file);\n const type = fm.type || 'unknown';\n byType[type] = (byType[type] || 0) + 1;\n\n // by_dir (top-level directory relative to corpus)\n const rel = relative(corpus, file);\n const topDir = rel.split('/')[0] || '.';\n byDir[topDir] = (byDir[topDir] || 0) + 1;\n\n // recent_active_7d\n try {\n const mtime = statSync(file).mtime;\n if (now - mtime.getTime() < sevenDays) {\n recentActive7d++;\n }\n const iso = mtime.toISOString();\n if (iso > lastUpdated) lastUpdated = iso;\n } catch (e) {\n // 单文件 stat 失败不应中断整体统计；走 debug\n debug(`stats: stat(${file}) failed: ${(e as Error).message}`);\n }\n\n // Collect wikilink targets to identify orphans later\n try {\n const content = readFileSync(file, 'utf-8');\n const linkRe = /\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/g;\n let m: RegExpExecArray | null;\n while ((m = linkRe.exec(content)) !== null) {\n inboundLinks.add(m[1].trim());\n }\n } catch (e) {\n // 单文件读失败时该文件的 wikilinks 漏掉，但不影响全局统计；走 debug\n debug(`stats: readFileSync(${file}) failed: ${(e as Error).message}`);\n }\n }\n\n // Compute orphans: pages that receive zero inbound links\n const orphans: string[] = [];\n for (const file of files) {\n const rel = relative(corpus, file);\n const stem = rel.replace(/\\.md$/, '');\n const baseName = stem.split('/').pop()!;\n // A page is an orphan if neither its full relative stem nor its base name\n // appears as a wikilink target\n if (!inboundLinks.has(stem) && !inboundLinks.has(baseName)) {\n orphans.push(rel);\n }\n }\n\n const result = {\n total_pages: files.length,\n by_type: byType,\n by_dir: byDir,\n recent_active_7d: recentActive7d,\n orphans: orphans.length,\n last_updated: lastUpdated || null,\n };\n\n out(JSON.stringify(result, null, 2));\n });\n}\n","import type { Command } from 'commander';\nimport { readFileSync } from 'node:fs';\nimport { relative, basename } from 'node:path';\nimport chalk from 'chalk';\nimport { requireCorpus, collectMdFiles, extractFrontmatter } from '../lib/corpus.js';\nimport {\n lintSkipFrontmatterBasenames,\n lintRootOnlySkipBasenames,\n lintSkipOrphanPrefixes,\n lintSkipFrontmatterPrefixes,\n lintSkipBrokenLinkPrefixes,\n} from '../lib/paths.js';\nimport { bad, ok, print } from '../utils/logger.js';\n\nconst REQUIRED_FIELDS = ['type', 'title', 'slug', 'created', 'updated'] as const;\n\nfunction isRootLevel(rel: string): boolean {\n return !rel.includes('/');\n}\n\nfunction shouldSkipFrontmatter(rel: string): boolean {\n const base = basename(rel);\n if (lintSkipFrontmatterBasenames.has(base)) return true;\n if (isRootLevel(rel) && lintRootOnlySkipBasenames.has(base)) return true;\n for (const prefix of lintSkipFrontmatterPrefixes) {\n if (rel.startsWith(prefix)) return true;\n }\n return false;\n}\n\nfunction shouldSkipOrphan(rel: string): boolean {\n const base = basename(rel);\n if (lintSkipFrontmatterBasenames.has(base)) return true;\n if (isRootLevel(rel) && lintRootOnlySkipBasenames.has(base)) return true;\n for (const prefix of lintSkipOrphanPrefixes) {\n if (rel.startsWith(prefix)) return true;\n }\n return false;\n}\n\nfunction shouldSkipBrokenLink(rel: string): boolean {\n for (const prefix of lintSkipBrokenLinkPrefixes) {\n if (rel.startsWith(prefix)) return true;\n }\n return false;\n}\n\n// 系统隔离：frontmatter `graph-excluded: true` 的页面不入 Obsidian 图谱，\n// 所以也不应被 orphan 检查报\"无入链\"。典型：QUESTIONS.md / overview.md / 输出/*\nfunction isGraphExcluded(fm: Record<string, unknown>): boolean {\n return fm['graph-excluded'] === true || fm['graph_excluded'] === true;\n}\n\n// 去掉围栏代码块和行内代码，避免文档里 `[[Page]]` 这类占位符被当作真 wikilink\nfunction stripCodeBlocks(content: string): string {\n content = content.replace(/```[\\s\\S]*?```/g, '');\n content = content.replace(/`[^`\\n]+`/g, '');\n return content;\n}\n\ninterface LintIssue {\n file: string;\n kind: 'missing-field' | 'broken-link' | 'orphan';\n detail: string;\n}\n\nexport function runLint(corpus: string): LintIssue[] {\n const files = collectMdFiles(corpus);\n const issues: LintIssue[] = [];\n\n // Build lookup sets for wikilink resolution\n // Map: base name (no ext) → relative path, and full relative stem → relative path\n const stemSet = new Set<string>();\n const baseNameSet = new Set<string>();\n // Track inbound links per base name / stem for orphan detection\n const inboundLinks = new Set<string>();\n\n for (const file of files) {\n const rel = relative(corpus, file);\n const stem = rel.replace(/\\.md$/, '');\n stemSet.add(stem);\n baseNameSet.add(stem.split('/').pop()!);\n\n // 文件夹包装式原料：`原料/文章/xxx/article.md` 的规范引用是 `[[原料/文章/xxx]]`\n // 把父目录路径也登记为有效链接目标\n if (stem.endsWith('/article')) {\n const folderStem = stem.replace(/\\/article$/, '');\n stemSet.add(folderStem);\n baseNameSet.add(folderStem.split('/').pop()!);\n }\n }\n\n // Pass 1: frontmatter + collect wikilinks\n const fileLinks = new Map<string, string[]>();\n const fileFrontmatter = new Map<string, Record<string, unknown>>();\n\n for (const file of files) {\n const rel = relative(corpus, file);\n\n // 总是提取 fm 存起来（Pass 3 orphan 检查用 graph-excluded 判断）\n let fm: Record<string, unknown> = {};\n try {\n fm = extractFrontmatter(file);\n } catch {\n /* 无 frontmatter / 读不到都按空对象处理 */\n }\n fileFrontmatter.set(rel, fm);\n\n // Check required frontmatter fields (skip top-level config/index files)\n if (!shouldSkipFrontmatter(rel)) {\n for (const field of REQUIRED_FIELDS) {\n if (!fm[field]) {\n issues.push({\n file: rel,\n kind: 'missing-field',\n detail: `missing frontmatter field: ${field}`,\n });\n }\n }\n }\n\n // Extract wikilinks (ignore matches inside code blocks)\n try {\n const content = stripCodeBlocks(readFileSync(file, 'utf-8'));\n const linkRe = /\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/g;\n const targets: string[] = [];\n let m: RegExpExecArray | null;\n while ((m = linkRe.exec(content)) !== null) {\n const target = m[1].trim();\n targets.push(target);\n inboundLinks.add(target);\n }\n fileLinks.set(rel, targets);\n } catch {\n /* skip unreadable files */\n }\n }\n\n // Pass 2: broken links\n for (const [rel, targets] of fileLinks) {\n if (shouldSkipBrokenLink(rel)) continue; // 模板占位符不算死链\n for (const target of targets) {\n if (!stemSet.has(target) && !baseNameSet.has(target)) {\n issues.push({\n file: rel,\n kind: 'broken-link',\n detail: `broken link: [[${target}]]`,\n });\n }\n }\n }\n\n // Pass 3: orphan pages (no inbound links)\n for (const file of files) {\n const rel = relative(corpus, file);\n if (shouldSkipOrphan(rel)) continue;\n\n // graph-excluded 系统文件（QUESTIONS.md / overview.md / 输出/* 等）不入 Obsidian 图谱，\n // 天然\"无入链\"合理，不应报 orphan\n const fm = fileFrontmatter.get(rel) ?? {};\n if (isGraphExcluded(fm)) continue;\n\n const stem = rel.replace(/\\.md$/, '');\n const baseName = stem.split('/').pop()!;\n\n let hasInbound = inboundLinks.has(stem) || inboundLinks.has(baseName);\n\n // 文件夹包装式原料：父目录形式的引用也算入链\n if (!hasInbound && stem.endsWith('/article')) {\n const folderStem = stem.replace(/\\/article$/, '');\n const folderName = folderStem.split('/').pop()!;\n hasInbound = inboundLinks.has(folderStem) || inboundLinks.has(folderName);\n }\n\n if (!hasInbound) {\n issues.push({\n file: rel,\n kind: 'orphan',\n detail: 'orphan page (no inbound links)',\n });\n }\n }\n\n return issues;\n}\n\nexport function printLintReport(corpus: string, issues: LintIssue[]): void {\n print(chalk.bold(`\\nlorekit lint — ${corpus}\\n`));\n\n if (issues.length === 0) {\n ok('no issues found');\n print();\n return;\n }\n\n // Group by kind\n const grouped: Record<string, LintIssue[]> = {};\n for (const issue of issues) {\n (grouped[issue.kind] ??= []).push(issue);\n }\n\n const kindLabels: Record<string, string> = {\n 'missing-field': 'frontmatter',\n 'broken-link': 'broken links',\n orphan: 'orphan pages',\n };\n\n for (const [kind, items] of Object.entries(grouped)) {\n print(chalk.cyan(`── ${kindLabels[kind] ?? kind} (${items.length}) ──`));\n for (const item of items) {\n bad(`${item.file}: ${item.detail}`);\n }\n print();\n }\n\n print(chalk.yellow(`${issues.length} issue(s) total\\n`));\n}\n\nexport function lintCommand(program: Command) {\n program\n .command('lint')\n .description('check frontmatter, broken wikilinks, and orphan pages')\n .action(() => {\n const corpus = requireCorpus();\n const issues = runLint(corpus);\n printLintReport(corpus, issues);\n if (issues.length > 0) process.exitCode = 1;\n });\n}\n","import { Command } from 'commander';\nimport { existsSync, mkdirSync, readFileSync, writeFileSync } from 'node:fs';\nimport { join, basename } from 'node:path';\nimport {\n requireCorpus,\n collectMdFiles,\n hasFrontmatter,\n extractFrontmatter,\n} from '../lib/corpus.js';\nimport { tsCompact, tsMinute } from '../lib/date.js';\nimport { ok, err, print } from '../utils/logger.js';\n\nconst SEVERITY_ORDER: Record<string, number> = { high: 3, medium: 2, low: 1 };\n\ninterface AuditEntry {\n severity: string;\n sevOrder: number;\n target: string;\n status: string;\n created: string;\n preview: string;\n}\n\nfunction extractPreview(filePath: string): string {\n const content = readFileSync(filePath, 'utf-8');\n const lines = content.split('\\n');\n let inFm = false;\n for (const line of lines) {\n if (line.trimEnd() === '---') {\n if (!inFm) {\n inFm = true;\n continue;\n } else {\n inFm = false;\n continue;\n }\n }\n if (inFm) continue;\n if (line.trim() === '') continue;\n return line.trim();\n }\n return '';\n}\n\nfunction listAudit(root: string, filter: 'all' | 'open' | 'resolved'): void {\n const dirs: string[] = [];\n if (filter === 'open' || filter === 'all') dirs.push(join(root, '反馈', '待处理'));\n if (filter === 'resolved' || filter === 'all') dirs.push(join(root, '反馈', '已处理'));\n\n const entries: AuditEntry[] = [];\n\n for (const dir of dirs) {\n if (!existsSync(dir)) continue;\n const files = collectMdFiles(dir);\n for (const f of files) {\n if (basename(f) === '.gitkeep') continue;\n if (!hasFrontmatter(f)) continue;\n\n const fm = extractFrontmatter(f);\n const severity = (fm.severity as string) ?? '';\n const target = (fm.target as string) ?? '';\n const created = (fm.created as string) ?? '';\n const status = (fm.status as string) ?? '';\n const preview = extractPreview(f);\n\n entries.push({\n severity,\n sevOrder: SEVERITY_ORDER[severity] ?? 0,\n target,\n status,\n created,\n preview,\n });\n }\n }\n\n if (entries.length === 0) {\n print('No audit entries found.');\n return;\n }\n\n // Sort by severity descending\n entries.sort((a, b) => b.sevOrder - a.sevOrder);\n\n for (const e of entries) {\n print(`[${e.severity}] ${e.target} — ${e.preview} (${e.created}) [${e.status}]`);\n }\n print();\n print(`Total: ${entries.length} entries`);\n}\n\nfunction createAudit(root: string, target: string, severity: string, text: string): void {\n if (!target) {\n err('audit --create requires --target');\n process.exit(2);\n }\n if (!severity) {\n err('audit --create requires --severity');\n process.exit(2);\n }\n if (!text) {\n err('audit --create requires --text');\n process.exit(2);\n }\n\n if (!['low', 'medium', 'high'].includes(severity)) {\n err(`severity must be low|medium|high, got: ${severity}`);\n process.exit(2);\n }\n\n const slug = basename(target, '.md').replace(/[\\s/]/g, '-').toLowerCase();\n\n const now = new Date();\n const filename = `${tsCompact(now)}-${slug}.md`;\n const tsFm = tsMinute(now);\n\n const destDir = join(root, '反馈', '待处理');\n mkdirSync(destDir, { recursive: true });\n\n const dest = join(destDir, filename);\n const content = `---\ntype: audit\ntarget: ${target}\nseverity: ${severity}\nstatus: open\ncreated: ${tsFm}\n---\n\n${text}\n`;\n\n writeFileSync(dest, content, 'utf-8');\n ok(`created: 反馈/待处理/${filename}`);\n print(` target: ${target}`);\n print(` severity: ${severity}`);\n}\n\nexport function auditCommand(program: Command): void {\n const cmd = program\n .command('audit')\n .description('Human feedback loop for corpus content')\n .option('--list', 'List entries (default)')\n .option('--open', 'Only show open (待处理) entries')\n .option('--resolved', 'Only show resolved (已处理) entries')\n .option('--create', 'Create a new audit entry')\n .option('--target <file>', 'Target file path (relative to corpus root)')\n .option('--severity <level>', 'Severity: low | medium | high')\n .option('--text <text>', 'Feedback text');\n\n cmd.action((opts) => {\n const root = requireCorpus();\n\n if (opts.create) {\n createAudit(root, opts.target ?? '', opts.severity ?? '', opts.text ?? '');\n } else {\n let filter: 'all' | 'open' | 'resolved' = 'all';\n if (opts.open) filter = 'open';\n else if (opts.resolved) filter = 'resolved';\n listAudit(root, filter);\n }\n });\n}\n","/**\n * date.ts — 日期 / 时间戳 helper 集中处。\n *\n * 历史背景（LEGACY P1-2）：`pad(n)`、`today()`、`todayYMD()` 等小工具散落在\n * init / index / audit / snapshot / ingest / fetcher 各文件内重复实现。本文件\n * 把它们集中起来，下游 import 即可。\n *\n * 时区策略：除 `*Shanghai*` 后缀的函数显式按 Asia/Shanghai 偏移外，其他函数\n * 默认走 JS 系统时区（在先生这台机器上 = Asia/Shanghai）。\n *\n * 后续批次（9 / 21）继续往本文件追加；先生不要在其他文件里\"另起炉灶\"。\n */\n\nconst SHANGHAI_TZ_OFFSET_MS = 8 * 60 * 60 * 1000;\n\n/** 把数字补足到 2 位（如月 / 日 / 时 / 分 / 秒） */\nexport function pad2(n: number): string {\n return String(n).padStart(2, '0');\n}\n\n/** 今天的 YYYY-MM-DD（按 Asia/Shanghai 偏移）—— 适合记录 source_date / created / updated */\nexport function todayYMDShanghai(): string {\n const d = new Date(Date.now() + SHANGHAI_TZ_OFFSET_MS);\n return d.toISOString().slice(0, 10);\n}\n\n/** 把任意 Date 格式化成 YYYY-MM-DD（**UTC**，常用于 frontmatter 解析回写） */\nexport function dateToYMDUtc(d: Date): string {\n return `${d.getUTCFullYear()}-${pad2(d.getUTCMonth() + 1)}-${pad2(d.getUTCDate())}`;\n}\n\n/** 把任意 Date 格式化成 YYYY-MM-DD（**本地**时区，常用于 mtime 显示） */\nexport function dateToYMDLocal(d: Date): string {\n return `${d.getFullYear()}-${pad2(d.getMonth() + 1)}-${pad2(d.getDate())}`;\n}\n\n/**\n * 紧凑文件名时间戳：YYYYMMDD-HHMMSS（本地时区）。\n * 用在 snapshot 文件名、audit 反馈条目文件名等不希望出现冒号 / 空格的位置。\n */\nexport function tsCompact(d: Date = new Date()): string {\n return [\n d.getFullYear(),\n pad2(d.getMonth() + 1),\n pad2(d.getDate()),\n '-',\n pad2(d.getHours()),\n pad2(d.getMinutes()),\n pad2(d.getSeconds()),\n ].join('');\n}\n\n/** YYYY-MM-DD HH:MM（本地时区，audit frontmatter 用） */\nexport function tsMinute(d: Date = new Date()): string {\n return `${d.getFullYear()}-${pad2(d.getMonth() + 1)}-${pad2(d.getDate())} ${pad2(d.getHours())}:${pad2(d.getMinutes())}`;\n}\n","import { Command } from 'commander';\nimport { existsSync, readdirSync, readFileSync, statSync, writeFileSync, lstatSync } from 'node:fs';\nimport { join, basename, relative, resolve } from 'node:path';\nimport { requireCorpus, hasFrontmatter, extractFrontmatter } from '../lib/corpus.js';\nimport {\n indexExcludeDirPrefixes,\n isIndexExcluded,\n isFolderPackage,\n} from '../lib/paths.js';\nimport { dateToYMDUtc, dateToYMDLocal } from '../lib/date.js';\nimport { ok, warn, err } from '../utils/logger.js';\n\nfunction extractSummary(filePath: string): string {\n const content = readFileSync(filePath, 'utf-8');\n const lines = content.split('\\n');\n let found = false;\n for (const line of lines) {\n if (/^## Compiled Truth/.test(line)) {\n found = true;\n continue;\n }\n if (!found) continue;\n if (/^---\\s*$/.test(line)) break;\n if (/^## /.test(line)) break;\n if (line.trim() === '') continue;\n\n let text = line.trim().replace(/^\\*\\*[^*]*\\*\\*\\s*/, '');\n const periodMatch = text.match(/^([^。.]*[。.])/);\n if (periodMatch && periodMatch[1].length <= 50) return periodMatch[1];\n return text.slice(0, 50);\n }\n return '';\n}\n\ninterface IndexEntry {\n slug: string; // corpus 根相对路径，不含 .md；对目录包装式原料用父目录路径\n title: string; // frontmatter.title 或 basename\n summary: string; // Compiled Truth 首句或 \"—\"\n updated: string; // YYYY-MM-DD\n}\n\nfunction readEntryFromFile(filePath: string, slug: string): IndexEntry {\n let title = '';\n let updated = '';\n let summary = '';\n\n if (hasFrontmatter(filePath)) {\n const fm = extractFrontmatter(filePath);\n title = typeof fm.title === 'string' ? fm.title : fm.title != null ? String(fm.title) : '';\n\n if (fm.updated instanceof Date) {\n updated = dateToYMDUtc(fm.updated);\n } else {\n updated = fm.updated != null ? String(fm.updated) : '';\n }\n\n summary = extractSummary(filePath);\n if (!summary) summary = '—';\n } else {\n summary = '（缺少 frontmatter）';\n }\n\n if (!title) title = basename(filePath, '.md');\n\n if (!updated) {\n try {\n updated = dateToYMDLocal(statSync(filePath).mtime);\n } catch {\n updated = 'unknown';\n }\n }\n\n return { slug, title, summary, updated };\n}\n\n// 转义表格单元格里的 | 字符（防止撑散 markdown 表格）\nfunction escapeCell(s: string): string {\n return s.replace(/\\|/g, '\\\\|');\n}\n\nfunction buildIndex(dir: string, root: string): boolean {\n const reldir = dir === root ? '' : relative(root, dir);\n const dirName = reldir === '' ? basename(root) : basename(dir);\n const indexFile = join(dir, '_INDEX.md');\n\n let names: string[];\n try {\n names = readdirSync(dir, { encoding: 'utf-8' });\n } catch {\n return false;\n }\n\n const entries: IndexEntry[] = [];\n\n for (const name of names) {\n if (name.startsWith('.')) continue;\n if (name === '_INDEX.md' || name === '.gitkeep') continue;\n\n const full = join(dir, name);\n let stat;\n try {\n stat = lstatSync(full);\n } catch {\n continue;\n }\n\n if (stat.isFile() && name.endsWith('.md')) {\n // 普通 .md 文件：slug = 完整相对路径去 .md\n const slug = relative(root, full).replace(/\\.md$/, '');\n entries.push(readEntryFromFile(full, slug));\n } else if (stat.isDirectory() && isFolderPackage(full)) {\n // 目录包装式原料：xxx/article.md → slug = xxx 父目录路径\n const articlePath = join(full, 'article.md');\n const slug = relative(root, full);\n entries.push(readEntryFromFile(articlePath, slug));\n }\n }\n\n if (entries.length === 0) return false;\n\n entries.sort((a, b) => b.updated.localeCompare(a.updated));\n\n const lines: string[] = [];\n lines.push(`# ${dirName}`);\n lines.push('');\n lines.push(`> 本目录共 ${entries.length} 个条目。由 \\`lorekit index\\` 自动生成。`);\n lines.push('');\n lines.push('| 条目 | 摘要 | 更新 |');\n lines.push('|---|---|---|');\n for (const e of entries) {\n lines.push(`| [[${e.slug}]] | ${escapeCell(e.summary)} | ${e.updated} |`);\n }\n lines.push('');\n\n writeFileSync(indexFile, lines.join('\\n'), 'utf-8');\n const display = reldir === '' ? '_INDEX.md' : `${reldir}/_INDEX.md`;\n ok(`${display} (${entries.length} entries)`);\n return true;\n}\n\n/**\n * 递归发现\"可索引目录\"：\n * - 目录下有直接 .md 文件（非 _INDEX.md / 隐藏）\n * - 或目录下有\"目录包装式原料\"子目录（xxx/article.md 形式）\n *\n * 排除规则：\n * - indexExcludeDirPrefixes 开头的目录整枝跳过\n * - corpus 根本身不索引（L0 = index.md 已承担其职能）\n * - 目录包装式原料的内部目录不递归（它们是条目，不是容器）\n */\nfunction findIndexableDirs(root: string): string[] {\n const results: string[] = [];\n\n function walk(dir: string, isRoot: boolean) {\n const rel = dir === root ? '' : relative(root, dir);\n if (rel && isIndexExcluded(rel)) return;\n\n let names: string[];\n try {\n names = readdirSync(dir, { encoding: 'utf-8' });\n } catch {\n return;\n }\n\n if (!isRoot) {\n let hasIndexable = false;\n for (const name of names) {\n if (name.startsWith('.')) continue;\n if (name === '_INDEX.md' || name === '.gitkeep') continue;\n\n const full = join(dir, name);\n let stat;\n try {\n stat = lstatSync(full);\n } catch {\n continue;\n }\n\n if (stat.isFile() && name.endsWith('.md')) {\n hasIndexable = true;\n break;\n }\n if (stat.isDirectory() && isFolderPackage(full)) {\n hasIndexable = true;\n break;\n }\n }\n if (hasIndexable) results.push(dir);\n }\n\n // 递归子目录（跳过目录包装式原料的内部）\n for (const name of names) {\n if (name.startsWith('.')) continue;\n const full = join(dir, name);\n let stat;\n try {\n stat = lstatSync(full);\n } catch {\n continue;\n }\n if (!stat.isDirectory()) continue;\n if (isFolderPackage(full)) continue;\n walk(full, false);\n }\n }\n\n walk(root, true);\n return results.sort();\n}\n\n/**\n * 程序内复用入口：扫 corpus 生成所有 _INDEX.md。\n * 返回生成的文件数。specificDir 限定在单个子目录（相对 root 的路径）。\n *\n * 铁律：corpus 根不建 _INDEX.md —— L0 `corpus/index.md` 已经承担根级索引职能。\n * `--dir .` / `--dir \"\"` / `--dir ./` 这类 bypass 会被拒绝。\n */\nexport function runIndex(root: string, specificDir?: string): number {\n if (specificDir) {\n const full = join(root, specificDir);\n if (!existsSync(full)) {\n throw new Error(`directory not found: ${specificDir}`);\n }\n // 防止 --dir . / --dir \"\" / --dir ./ 等写法绕过根排除，在 corpus 根生成 _INDEX.md\n if (resolve(full) === resolve(root)) {\n throw new Error(\n `cannot index the corpus root itself — L0 corpus/index.md already serves this role`,\n );\n }\n // 子目录也要守住排除规则（避免 --dir _工作台 / --dir 系统 等强行生成）\n const rel = relative(root, full);\n if (isIndexExcluded(rel)) {\n throw new Error(\n `directory \"${rel}\" is in the exclude list (${indexExcludeDirPrefixes.join(' / ')})`,\n );\n }\n return buildIndex(full, root) ? 1 : 0;\n }\n const dirs = findIndexableDirs(root);\n if (dirs.length === 0) return 0;\n let generated = 0;\n for (const d of dirs) {\n if (buildIndex(d, root)) generated++;\n }\n return generated;\n}\n\nexport function indexCommand(program: Command): void {\n const cmd = program\n .command('index')\n .description('Generate _INDEX.md recursively for corpus directories')\n .option('--dir <subdir>', 'Only update a specific subdirectory');\n\n cmd.action((opts) => {\n const root = requireCorpus();\n\n try {\n if (opts.dir) {\n runIndex(root, opts.dir);\n } else {\n const generated = runIndex(root);\n if (generated === 0) {\n warn('no indexable directories found');\n } else {\n ok(`generated ${generated} _INDEX.md file(s)`);\n }\n }\n } catch (e) {\n err((e as Error).message);\n process.exit(1);\n }\n });\n}\n","import { Command } from 'commander';\nimport {\n existsSync,\n mkdirSync,\n readdirSync,\n symlinkSync,\n unlinkSync,\n readlinkSync,\n lstatSync,\n} from 'node:fs';\nimport { join } from 'node:path';\nimport { lorekitRoot } from '../utils/fs.js';\nimport { ok, err, out, print } from '../utils/logger.js';\n\nfunction isSymlink(path: string): boolean {\n try {\n return lstatSync(path).isSymbolicLink();\n } catch {\n return false;\n }\n}\n\nexport function installSkillsCommand(program: Command): void {\n const cmd = program\n .command('install-skills')\n .description('Install lorekit skills into a harness (e.g. Claude Code)')\n .option('--target <harness>', 'Target harness (currently only \"claude-code\")')\n .option('--list', 'List currently installed wiki-* skill symlinks')\n .option('--uninstall', 'Remove installed skill symlinks');\n\n cmd.action((opts) => {\n const skillsDest = join(process.env.HOME ?? '', '.claude', 'skills');\n\n // --list mode\n if (opts.list) {\n if (!existsSync(skillsDest)) return;\n const names = readdirSync(skillsDest, { encoding: 'utf-8' });\n for (const name of names) {\n if (!name.startsWith('wiki-')) continue;\n const full = join(skillsDest, name);\n if (!isSymlink(full)) continue;\n const target = readlinkSync(full);\n out(`${name} -> ${target}`);\n }\n return;\n }\n\n // Require --target\n if (!opts.target) {\n err('install-skills: --target required');\n process.exit(2);\n }\n if (opts.target !== 'claude-code') {\n err(`target '${opts.target}' not supported; only 'claude-code' is available`);\n process.exit(2);\n }\n\n mkdirSync(skillsDest, { recursive: true });\n\n const skillsSrc = join(lorekitRoot(), 'skills');\n if (!existsSync(skillsSrc)) {\n err(`skills directory not found: ${skillsSrc}`);\n process.exit(1);\n }\n\n // Find wiki-* skill directories\n const allNames = readdirSync(skillsSrc, { encoding: 'utf-8' });\n const skillNames = allNames.filter((name) => {\n if (!name.startsWith('wiki-')) return false;\n try {\n return lstatSync(join(skillsSrc, name)).isDirectory();\n } catch {\n return false;\n }\n });\n\n let count = 0;\n for (const name of skillNames) {\n const srcDir = join(skillsSrc, name);\n const skillFile = join(srcDir, 'SKILL.md');\n if (!existsSync(skillFile)) continue;\n\n const dest = join(skillsDest, name);\n\n if (opts.uninstall) {\n if (isSymlink(dest)) {\n unlinkSync(dest);\n ok(`removed ${name}`);\n count++;\n }\n } else {\n // Remove existing symlink if present\n if (isSymlink(dest)) unlinkSync(dest);\n\n symlinkSync(srcDir, dest);\n ok(`linked ${name}`);\n count++;\n }\n }\n\n if (count === 0) {\n print('No skills found to install.');\n } else if (!opts.uninstall) {\n print(`\\nInstalled ${count} skill(s). Restart Claude Code to load them.`);\n }\n });\n}\n","import type { Command } from 'commander';\nimport {\n existsSync,\n mkdirSync,\n writeFileSync,\n unlinkSync,\n readdirSync,\n statSync,\n} from 'node:fs';\nimport { join, relative } from 'node:path';\nimport * as tar from 'tar';\nimport { ok, bad, err } from '../utils/logger.js';\nimport { requireCorpus } from '../lib/corpus.js';\nimport { snapshotExcludeNames } from '../lib/paths.js';\nimport { tsCompact } from '../lib/date.js';\nimport { sha256 } from '../utils/fs.js';\n\ninterface ManifestEntry {\n path: string;\n sha256: string;\n bytes: number;\n mtime: string;\n}\n\nfunction collectAllFiles(dir: string, base: string): string[] {\n const results: string[] = [];\n\n function walk(d: string) {\n for (const entry of readdirSync(d, { withFileTypes: true })) {\n if (snapshotExcludeNames.has(entry.name)) continue;\n const full = join(d, entry.name);\n if (entry.isDirectory()) {\n walk(full);\n } else {\n results.push(relative(base, full));\n }\n }\n }\n\n walk(dir);\n return results.sort();\n}\n\nexport async function createSnapshot(corpus: string, opts: { tag?: string } = {}): Promise<string> {\n const snapshotsDir = join(corpus, '.wiki', 'snapshots');\n mkdirSync(snapshotsDir, { recursive: true });\n\n // Collect files\n const files = collectAllFiles(corpus, corpus);\n if (files.length === 0) {\n throw new Error('no files found in corpus');\n }\n\n // Build manifest\n const manifest: ManifestEntry[] = files.map((relPath) => {\n const full = join(corpus, relPath);\n const st = statSync(full);\n return {\n path: relPath,\n sha256: sha256(full),\n bytes: st.size,\n mtime: st.mtime.toISOString(),\n };\n });\n\n // Write temporary manifest into snapshots dir\n const manifestPath = join(snapshotsDir, 'manifest.json');\n writeFileSync(manifestPath, JSON.stringify(manifest, null, 2) + '\\n');\n\n try {\n // Build filename: YYYYMMDD-HHMMSS[-tag].tar.gz\n const tag = opts.tag ? `-${opts.tag}` : '';\n const tarName = `${tsCompact()}${tag}.tar.gz`;\n const tarPath = join(snapshotsDir, tarName);\n\n // Create tarball\n // Include all corpus files + the manifest\n const allEntries = [...files, relative(corpus, manifestPath)];\n\n await tar.create(\n {\n gzip: true,\n file: tarPath,\n cwd: corpus,\n prefix: '',\n },\n allEntries,\n );\n\n return tarPath;\n } finally {\n // LEGACY P4-2：tar.create 若抛错，manifest 原先会残留在 .wiki/snapshots/；\n // 放 finally 保证无论成功 / 失败都清掉。\n if (existsSync(manifestPath)) unlinkSync(manifestPath);\n }\n}\n\nexport function snapshotCommand(program: Command) {\n program\n .command('snapshot')\n .option('--tag <name>', 'optional tag appended to filename')\n .description('create a tarball snapshot of the corpus')\n .action(async (opts: { tag?: string }) => {\n const corpus = requireCorpus();\n try {\n const tarPath = await createSnapshot(corpus, opts);\n const tarStat = statSync(tarPath);\n const sizeMB = (tarStat.size / 1024 / 1024).toFixed(1);\n const count = collectAllFiles(corpus, corpus).length;\n ok(`snapshot saved: ${tarPath} (${count} files, ${sizeMB} MB)`);\n } catch (e) {\n const message = (e as Error).message;\n if (message === 'no files found in corpus') {\n bad(message);\n } else {\n err(message);\n process.exitCode = 1;\n }\n return;\n }\n });\n}\n","import type { Command } from 'commander';\nimport { existsSync, mkdirSync, readFileSync, copyFileSync, rmSync } from 'node:fs';\nimport { join, dirname, relative } from 'node:path';\nimport { createInterface } from 'node:readline';\nimport { tmpdir } from 'node:os';\nimport * as tar from 'tar';\nimport chalk from 'chalk';\nimport { ok, bad, err, warn, print } from '../utils/logger.js';\nimport { requireCorpus } from '../lib/corpus.js';\nimport { sha256 } from '../utils/fs.js';\n\ninterface ManifestEntry {\n path: string;\n sha256: string;\n bytes: number;\n mtime: string;\n}\n\ntype DiffKind = 'MISSING' | 'CHANGED';\n\ninterface DiffEntry {\n kind: DiffKind;\n path: string;\n snapshotSha: string;\n currentSha: string | null;\n}\n\nfunction ask(question: string): Promise<string> {\n const rl = createInterface({ input: process.stdin, output: process.stdout });\n return new Promise((resolve) => {\n rl.question(question, (answer) => {\n rl.close();\n resolve(answer.trim());\n });\n });\n}\n\n/**\n * 仅限 os.tmpdir() 子目录，不许扩展到任何用户数据路径。\n *\n * LEGACY P4-3 / 先生全局 CLAUDE.md 数据安全红线：lorekit 源码里的任何\n * `rm -rf` 等价操作都必须锁定在 tmpdir 下。本函数的唯一调用方 restore\n * action 中，`tmpDir` 由 `join(tmpdir(), 'lorekit-restore-' + Date.now())`\n * 构造——禁止把 user corpus 路径传进来。\n */\nfunction rmDirRecursive(dir: string) {\n rmSync(dir, { recursive: true, force: true });\n}\n\nexport function restoreCommand(program: Command) {\n program\n .command('restore')\n .requiredOption('--from <snapshot>', 'path to snapshot .tar.gz')\n .option('--dry-run', 'only list differences, do not restore')\n .option('--file <path>', 'restore only this specific file')\n .description('restore files from a snapshot')\n .action(async (opts: { from: string; dryRun?: boolean; file?: string }) => {\n const corpus = requireCorpus();\n\n if (!existsSync(opts.from)) {\n bad(`snapshot not found: ${opts.from}`);\n // CONVENTIONS #4：用户提供的 --from 路径不存在 → 参数错 → exit 2\n process.exitCode = 2;\n return;\n }\n\n // Extract to temp dir\n const tmpDir = join(tmpdir(), `lorekit-restore-${Date.now()}`);\n mkdirSync(tmpDir, { recursive: true });\n\n try {\n await tar.extract({\n file: opts.from,\n cwd: tmpDir,\n });\n\n // Read manifest\n const manifestPath = join(tmpDir, '.wiki', 'snapshots', 'manifest.json');\n if (!existsSync(manifestPath)) {\n bad('manifest.json not found in snapshot');\n process.exitCode = 1;\n return;\n }\n\n const manifest: ManifestEntry[] = JSON.parse(readFileSync(manifestPath, 'utf-8'));\n\n // Compute diffs\n const diffs: DiffEntry[] = [];\n\n for (const entry of manifest) {\n // Skip if --file is specified and doesn't match\n if (opts.file && entry.path !== opts.file) continue;\n\n const corpusPath = join(corpus, entry.path);\n if (!existsSync(corpusPath)) {\n diffs.push({\n kind: 'MISSING',\n path: entry.path,\n snapshotSha: entry.sha256,\n currentSha: null,\n });\n } else {\n const currentSha = sha256(corpusPath);\n if (currentSha !== entry.sha256) {\n diffs.push({\n kind: 'CHANGED',\n path: entry.path,\n snapshotSha: entry.sha256,\n currentSha,\n });\n }\n }\n }\n\n if (diffs.length === 0) {\n ok('corpus matches snapshot — nothing to restore');\n return;\n }\n\n // Display diffs\n const missing = diffs.filter((d) => d.kind === 'MISSING');\n const changed = diffs.filter((d) => d.kind === 'CHANGED');\n\n if (missing.length > 0) {\n print(chalk.yellow(`\\n MISSING (${missing.length}):`));\n for (const d of missing) {\n print(` + ${d.path}`);\n }\n }\n if (changed.length > 0) {\n print(chalk.cyan(`\\n CHANGED (${changed.length}):`));\n for (const d of changed) {\n print(` ~ ${d.path}`);\n }\n }\n print();\n\n if (opts.dryRun) {\n warn(`dry-run: ${diffs.length} file(s) would be restored`);\n return;\n }\n\n // Confirm\n const answer = await ask(` restore ${diffs.length} file(s)? [y/N] `);\n if (answer.toLowerCase() !== 'y') {\n bad('cancelled');\n return;\n }\n\n // Copy files from tmpDir to corpus\n let restored = 0;\n for (const d of diffs) {\n const src = join(tmpDir, d.path);\n const dest = join(corpus, d.path);\n if (!existsSync(src)) {\n warn(`file not in snapshot archive: ${d.path}`);\n continue;\n }\n mkdirSync(dirname(dest), { recursive: true });\n copyFileSync(src, dest);\n restored++;\n }\n\n ok(`restored ${restored} file(s) from snapshot`);\n } finally {\n // Clean up temp dir\n rmDirRecursive(tmpDir);\n }\n });\n}\n","import type { Command } from 'commander';\nimport { readFileSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport { spawnSync } from 'node:child_process';\nimport { ok, bad, warn, out } from '../utils/logger.js';\nimport { requireCorpus, collectMdFiles } from '../lib/corpus.js';\n\ninterface SearchResult {\n file: string;\n line: number;\n text: string;\n}\n\nfunction searchWithRipgrep(\n query: string,\n corpus: string,\n opts: { type?: string; dir?: string },\n): SearchResult[] {\n const searchDir = opts.dir ? join(corpus, opts.dir) : corpus;\n const args: string[] = ['--json', '--no-heading', '-i'];\n\n if (opts.type) {\n args.push('--type', opts.type);\n }\n\n // Exclude internal dirs\n args.push('--glob', '!.wiki/**', '--glob', '!.git/**');\n args.push(query, searchDir);\n\n const result = spawnSync('rg', args, {\n encoding: 'utf-8',\n maxBuffer: 10 * 1024 * 1024,\n // 30s 上限：规避恶意 / 退化 regex 在巨型 corpus 上拖垮 CLI（PR #5 review M3）。\n // ripgrep 正常扫几 GB markdown 也只要几秒，30s 是宽松值。\n timeout: 30_000,\n });\n\n if (result.error) {\n // rg 未安装 → 返回空让上层 fallback；\n // 也可能是 timeout（result.signal === 'SIGTERM'），同样返回空 + 上层 fallback\n if ((result as { signal?: string }).signal === 'SIGTERM') {\n warn(`rg timed out after 30s, falling back to built-in scan`);\n }\n return [];\n }\n\n const results: SearchResult[] = [];\n for (const line of (result.stdout || '').split('\\n')) {\n if (!line.trim()) continue;\n try {\n const obj = JSON.parse(line);\n if (obj.type === 'match') {\n results.push({\n file: relative(corpus, obj.data.path.text),\n line: obj.data.line_number,\n text: obj.data.lines.text.trimEnd(),\n });\n }\n } catch {\n // skip malformed lines\n }\n }\n return results;\n}\n\nfunction searchFallback(query: string, corpus: string, opts: { dir?: string }): SearchResult[] {\n const searchDir = opts.dir ? join(corpus, opts.dir) : corpus;\n const files = collectMdFiles(searchDir);\n const pattern = new RegExp(query, 'i');\n const results: SearchResult[] = [];\n\n for (const filePath of files) {\n const content = readFileSync(filePath, 'utf-8');\n const lines = content.split('\\n');\n for (let i = 0; i < lines.length; i++) {\n if (pattern.test(lines[i])) {\n results.push({\n file: relative(corpus, filePath),\n line: i + 1,\n text: lines[i].trimEnd(),\n });\n }\n }\n }\n return results;\n}\n\nfunction hasRipgrep(): boolean {\n const result = spawnSync('rg', ['--version'], { encoding: 'utf-8' });\n return !result.error && result.status === 0;\n}\n\nexport function searchCommand(program: Command) {\n program\n .command('search')\n .argument('<query>', 'search query (regex supported)')\n .option('--type <t>', 'file type filter (passed to rg --type)')\n .option('--dir <d>', 'subdirectory within corpus to search')\n .description('search the corpus with ripgrep (fallback: built-in)')\n .action((query: string, opts: { type?: string; dir?: string }) => {\n const corpus = requireCorpus();\n\n let results: SearchResult[];\n\n if (hasRipgrep()) {\n results = searchWithRipgrep(query, corpus, opts);\n } else {\n warn('rg (ripgrep) not found, using built-in fallback');\n results = searchFallback(query, corpus, { dir: opts.dir });\n }\n\n // TODO Phase 3: if .wiki/vector.sqlite exists, also run vector similarity\n // search and merge results with text search hits.\n\n // Output JSON lines\n for (const r of results) {\n out(JSON.stringify(r));\n }\n\n if (results.length === 0) {\n warn('no results');\n }\n });\n}\n","import type { Command } from 'commander';\nimport { createHash } from 'node:crypto';\nimport { existsSync, readFileSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport { ok, warn, err, out, print } from '../utils/logger.js';\nimport { requireCorpus } from '../lib/corpus.js';\nimport { pruneMissingDocuments } from '../lib/vectordb/prune.js';\n\nexport interface VectorSyncOptions {\n force?: boolean;\n layered?: boolean;\n model?: string;\n}\n\nexport interface VectorSyncResult {\n synced: number;\n skipped: number;\n totalChunks: number;\n layered: boolean;\n pruned: number;\n}\n\n/**\n * 程序内复用入口：增量同步向量库。\n * - 每个 .md 文件用 sha256 对比跳过未变更\n * - --force 全量重嵌入\n * - --layered 额外刷 L0/L1（默认 true——lorekit sync 需要）\n */\nexport async function runVectorSync(\n corpus: string,\n opts: VectorSyncOptions = {},\n): Promise<VectorSyncResult> {\n const force = opts.force ?? false;\n const layered = opts.layered ?? true;\n const model = opts.model ?? 'bge-m3';\n\n const { embed, embedSingle } = await import('../lib/ollama.js');\n const { openDb, syncFile, buildLayeredIndex, collectFiles } = await import('../lib/vectordb/index.js');\n\n const testEmb = await embedSingle('test', model);\n const dim = testEmb.length;\n\n const db = await openDb(corpus, dim);\n const files = collectFiles(corpus);\n const existingRelPaths = new Set(files.map((filePath) => relative(corpus, filePath)));\n const pruned = pruneMissingDocuments(db, existingRelPaths);\n if (pruned > 0) warn(`vector sync pruned ${pruned} missing file(s)`);\n\n let synced = 0;\n let skipped = 0;\n let totalChunks = 0;\n\n for (const filePath of files) {\n // LEGACY P4-5：原先 `filePath.replace(corpus + '/', '')` 字符串替换，\n // 若 corpus 路径在 filePath 内出现多次（罕见）会替换错位；用 path.relative 更稳。\n const rel = relative(corpus, filePath);\n\n if (!force) {\n const row = db.prepare('SELECT sha256 FROM documents WHERE path = ?').get(rel) as\n | { sha256: string }\n | undefined;\n if (row) {\n const sha = createHash('sha256').update(readFileSync(filePath)).digest('hex');\n if (row.sha256 === sha) {\n skipped++;\n continue;\n }\n }\n }\n\n const embedFn = (texts: string[]) => embed(texts, model);\n const result = await syncFile(db, filePath, corpus, embedFn);\n totalChunks += result.chunks;\n synced++;\n }\n\n const now = new Date().toISOString();\n db.prepare(\"INSERT OR REPLACE INTO meta (key, value) VALUES ('last_sync', ?)\").run(now);\n db.prepare(\"INSERT OR REPLACE INTO meta (key, value) VALUES ('model', ?)\").run(model);\n db.prepare(\"INSERT OR REPLACE INTO meta (key, value) VALUES ('dim', ?)\").run(String(dim));\n\n if (layered || force) {\n print('Building layered index (L0/L1)...');\n const embedBatch = (texts: string[]) => embed(texts, model);\n await buildLayeredIndex(db, corpus, embedBatch);\n }\n\n db.close();\n\n return { synced, skipped, totalChunks, layered: layered || force, pruned };\n}\n\nexport function vectorCommand(program: Command) {\n const vec = program\n .command('vector')\n .description('vector search engine — embed & search via ollama + sqlite-vec');\n\n // --- sync ---\n vec\n .command('sync')\n .option('--force', 'full rebuild (re-embed all files)', false)\n .option('--layered', 'build L0/L1 layered index', false)\n .option('--model <name>', 'ollama model name', 'bge-m3')\n .description('index corpus into vector DB')\n .action(async (opts: { force: boolean; layered: boolean; model: string }) => {\n const corpus = requireCorpus();\n const r = await runVectorSync(corpus, opts);\n ok(`synced ${r.synced} files (${r.totalChunks} chunks), skipped ${r.skipped} unchanged`);\n });\n\n // --- query ---\n vec\n .command('query')\n .requiredOption('--text <text>', 'search query text')\n .option('--top-k <n>', 'number of results', '5')\n .option('--threshold <n>', 'minimum similarity score', '0.5')\n .option('--layered', 'use L0→L1→L2 layered vector retrieval', false)\n .option('--hybrid', 'BM25 + vector layered + RRF fusion (阶段 2 推荐，无 re-rank)', false)\n .option('--bm25', 'BM25 layered only (FTS5, 用于 debug BM25 单路)', false)\n .option('--model <name>', 'ollama model name', 'bge-m3')\n .description('search the vector/FTS index')\n .action(\n async (opts: {\n text: string;\n topK: string;\n threshold: string;\n layered: boolean;\n hybrid: boolean;\n bm25: boolean;\n model: string;\n }) => {\n const corpus = requireCorpus();\n const topK = parseInt(opts.topK, 10);\n const threshold = parseFloat(opts.threshold);\n\n // CONVENTIONS #4：参数解析失败 → exit 2\n if (!Number.isFinite(topK) || topK <= 0) {\n err(`--top-k must be a positive integer, got: \"${opts.topK}\"`);\n process.exit(2);\n }\n if (!Number.isFinite(threshold) || threshold < 0 || threshold > 1) {\n err(`--threshold must be a number in [0, 1], got: \"${opts.threshold}\"`);\n process.exit(2);\n }\n\n const { embedSingle } = await import('../lib/ollama.js');\n const { openDb, queryFlat, queryLayered, queryBM25Layered, queryHybrid } =\n await import('../lib/vectordb/index.js');\n\n // Probe dim from existing db or model\n let dim = 1024;\n const dbPath = join(corpus, '.wiki', 'vector.sqlite');\n if (existsSync(dbPath)) {\n const tmpDb = await openDb(corpus);\n const row = tmpDb.prepare(\"SELECT value FROM meta WHERE key = 'dim'\").get() as\n | { value: string }\n | undefined;\n if (row) dim = parseInt(row.value, 10);\n tmpDb.close();\n }\n\n const db = await openDb(corpus, dim);\n\n let results;\n if (opts.bm25) {\n // BM25 单路（不需要 embedding，快）\n results = queryBM25Layered(db, opts.text, topK);\n } else if (opts.hybrid) {\n const embedding = await embedSingle(opts.text, opts.model);\n results = queryHybrid(db, embedding, opts.text, topK, threshold);\n } else {\n const embedding = await embedSingle(opts.text, opts.model);\n results = opts.layered\n ? queryLayered(db, embedding, topK, threshold)\n : queryFlat(db, embedding, topK, threshold);\n }\n\n db.close();\n out(JSON.stringify(results, null, 2));\n },\n );\n\n // --- status ---\n vec\n .command('status')\n .description('show vector index status')\n .action(async () => {\n const corpus = requireCorpus();\n const { getStatus } = await import('../lib/vectordb/index.js');\n const info = await getStatus(corpus);\n out(JSON.stringify(info, null, 2));\n });\n}\n","import { relative } from 'node:path';\nimport { collectFiles } from './files.js';\nimport { openDb, type Db } from './schema.js';\n\nexport function pruneMissingDocuments(db: Db, existingRelPaths: Set<string>): number {\n const rows = db.prepare('SELECT id, path FROM documents').all() as { id: number; path: string }[];\n const missing = rows.filter((row) => !existingRelPaths.has(row.path));\n if (missing.length === 0) return 0;\n\n const delVecChunk = db.prepare('DELETE FROM vec_chunks WHERE rowid = ?');\n const delFtsChunk = db.prepare('DELETE FROM fts_chunks WHERE rowid = ?');\n const delVecPage = db.prepare('DELETE FROM vec_pages WHERE rowid = ?');\n const delFtsPage = db.prepare('DELETE FROM fts_pages WHERE rowid = ?');\n const getChunkIds = db.prepare('SELECT id FROM chunks WHERE doc_id = ?');\n const getPageIds = db.prepare('SELECT id FROM page_summaries WHERE doc_id = ?');\n const deleteChunks = db.prepare('DELETE FROM chunks WHERE doc_id = ?');\n const deletePages = db.prepare('DELETE FROM page_summaries WHERE doc_id = ?');\n const deleteDoc = db.prepare('DELETE FROM documents WHERE id = ?');\n\n const tx = db.transaction((docs: typeof missing) => {\n for (const doc of docs) {\n const chunkIds = getChunkIds.all(doc.id) as { id: number }[];\n for (const { id } of chunkIds) {\n delVecChunk.run(id);\n delFtsChunk.run(id);\n }\n deleteChunks.run(doc.id);\n\n const pageIds = getPageIds.all(doc.id) as { id: number }[];\n for (const { id } of pageIds) {\n delVecPage.run(id);\n delFtsPage.run(id);\n }\n deletePages.run(doc.id);\n deleteDoc.run(doc.id);\n }\n });\n tx(missing);\n return missing.length;\n}\n\nexport async function pruneVectorDbMissingFiles(corpus: string): Promise<number> {\n const db = await openDb(corpus);\n try {\n const files = collectFiles(corpus);\n const existingRelPaths = new Set(files.map((filePath) => relative(corpus, filePath)));\n return pruneMissingDocuments(db, existingRelPaths);\n } finally {\n db.close();\n }\n}\n","import type { Command } from 'commander';\nimport { existsSync, mkdirSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport { findCorpus, findSourceByUrl, extractFrontmatter } from '../lib/corpus.js';\nimport { fetchUrl, fetchGist, fetchGithubDoc } from '../lib/fetcher/index.js';\nimport type { FetchResult } from '../lib/fetcher/index.js';\nimport { getIngestRecord, upsertIngestRecord, nextStepHint } from '../lib/ingest-state.js';\n\n// ---------------------------------------------------------------------------\n// URL routing helpers\n// ---------------------------------------------------------------------------\n\nfunction suggestResult(route: string, url: string, suggest: string): FetchResult {\n return { status: 'unsupported', route, url, suggest };\n}\n\nfunction getHost(url: string): string {\n try {\n return new URL(url).hostname.toLowerCase();\n } catch {\n return '';\n }\n}\n\nfunction isPdfUrl(url: string): boolean {\n try {\n const path = new URL(url).pathname.toLowerCase();\n return path.endsWith('.pdf');\n } catch {\n return false;\n }\n}\n\n// ---------------------------------------------------------------------------\n// Command\n// ---------------------------------------------------------------------------\n\nexport function fetchCommand(program: Command) {\n program\n .command('fetch')\n .argument('<url>', 'URL to fetch')\n .option('--out <dir>', 'output directory')\n .option('--force-rich', 'skip host routing, always use rich fetcher')\n .option('--no-images', 'skip image downloads')\n .option('--force', 'ignore duplicate-URL check and re-fetch anyway')\n .description('Fetch a URL into local markdown + images')\n .action(\n async (\n url: string,\n opts: { out?: string; forceRich?: boolean; images?: boolean; force?: boolean },\n ) => {\n // Resolve output root\n const corpus = findCorpus();\n let outRoot: string;\n if (opts.out) {\n outRoot = opts.out;\n } else {\n outRoot = corpus ? join(corpus, '_工作台', '收件', 'fetch') : '/tmp/lorekit-fetch';\n }\n if (!existsSync(outRoot)) {\n mkdirSync(outRoot, { recursive: true });\n }\n\n // Duplicate / resume detection: consult ingest-state.json first,\n // fall back to scanning 原料/*/*/article.md frontmatter for legacy ingests\n // without a state record.\n let duplicate: FetchResult['duplicate'] | undefined;\n if (corpus && !opts.force) {\n const state = getIngestRecord(corpus, url);\n\n if (state && state.status !== 'completed') {\n // Interrupted ingest — surface resume hint, do not re-fetch\n const hint = nextStepHint(state);\n console.error(\n `[lorekit fetch] in-progress ingest detected for ${url}\\n` +\n ` status: ${state.status} steps done: ${state.stepsDone.join(', ') || '(none)'}\\n` +\n ` started: ${state.startedAt}\\n` +\n ` next step → ${hint}\\n` +\n ` use --force to restart from scratch`,\n );\n console.log(\n JSON.stringify({\n status: 'in_progress',\n route: 'rich',\n url,\n ingestState: state,\n nextStep: hint,\n }),\n );\n return;\n }\n\n if (state && state.status === 'completed') {\n duplicate = {\n path: state.archivedTo ?? '(unknown)',\n sourceDate: state.sourceDate,\n title: state.title,\n };\n } else {\n // No state record — fall back to frontmatter scan\n const existing = findSourceByUrl(corpus, url);\n if (existing) {\n const fm = extractFrontmatter(existing);\n const sdRaw = fm.source_date;\n const sourceDate =\n typeof sdRaw === 'string'\n ? sdRaw\n : sdRaw instanceof Date\n ? sdRaw.toISOString().slice(0, 10)\n : undefined;\n duplicate = {\n path: relative(corpus, existing),\n sourceDate,\n title: typeof fm.title === 'string' ? fm.title : undefined,\n };\n }\n }\n\n if (duplicate) {\n console.error(\n `[lorekit fetch] duplicate url: ${url} already ingested at ${duplicate.path}` +\n (duplicate.sourceDate ? ` (source_date: ${duplicate.sourceDate})` : '') +\n `. Use --force to re-fetch anyway.`,\n );\n console.log(JSON.stringify({ status: 'duplicate', route: 'rich', url, duplicate }));\n return;\n }\n }\n\n // Route by host (unless --force-rich)\n const noImages = opts.images === false;\n let result: FetchResult;\n\n if (opts.forceRich) {\n result = await fetchUrl(url, { outRoot, noImages });\n } else {\n const host = getHost(url);\n\n if (host.includes('mp.weixin.qq.com')) {\n result = await fetchUrl(url, { outRoot, noImages });\n } else if (host.includes('feishu.cn') || host.includes('larkoffice.com')) {\n result = suggestResult('lark', url, 'lark-cli docs +read --as user --doc <url>');\n } else if (\n host === 'x.com' ||\n host === 'twitter.com' ||\n host.endsWith('.x.com') ||\n host.endsWith('.twitter.com')\n ) {\n result = suggestResult('x', url, 'paste screenshot or text (antibot too strong)');\n } else if (host === 'gist.github.com' || host === 'gist.githubusercontent.com') {\n result = await fetchGist(url, outRoot);\n } else if (host === 'github.com' || host === 'www.github.com') {\n result = await fetchGithubDoc(url, outRoot);\n } else if (isPdfUrl(url)) {\n result = suggestResult('pdf', url, 'pdf skill');\n } else {\n // Generic site\n result = await fetchUrl(url, { outRoot, noImages });\n }\n }\n\n // On successful fetch into a corpus, record state so subsequent runs\n // see this as an in-progress ingest until the agent marks it completed.\n if (corpus && result.status === 'ok' && result.markdown) {\n upsertIngestRecord(corpus, url, {\n title: result.title,\n sourceDate: result.publishDate,\n status: 'started',\n stepsDone: ['fetch'],\n workbenchMd: result.markdown,\n });\n }\n\n // Output single-line JSON\n console.log(JSON.stringify(result));\n\n // Exit with non-zero on error\n if (result.status === 'error') {\n process.exitCode = 1;\n }\n },\n );\n}\n","/**\n * fetcher/index.ts — fetcher 子模块对外主入口（barrel + fetchUrl 主流程）\n *\n * 批次 21g-pre strangler fig 第七步：建主入口模块。本文件含：\n * - `fetchUrl`：从 src/lib/fetcher.ts:493-606 copy，dispatcher 模式根据 site\n * 选 routes/web 或 routes/weixin 的 parser。frontmatter 拼装替换为 21b\n * buildFrontmatter（routeKind = 'article' | 'clipping'）\n * - `fetchGist` / `fetchGithubDoc`：从 routes 直接 re-export\n * - `FetchResult` / `FetchOptions`：从 types.ts 直接 re-export（type-only）\n *\n * **不 re-export** parser / helpers / http / images / frontmatter —— 这些是\n * fetcher 子模块内部实现细节，对外 surface 只有 4 个公开 API。\n *\n * 21g-pre 阶段：本文件目前未被任何调用方 import；commands/fetch.ts 仍 import\n * 旧 src/lib/fetcher.ts。21g-final 才切换 + 删旧。\n *\n * **Strangler fig 双份代码状态**：\n * - 旧 src/lib/fetcher.ts 的 fetchUrl / fetchGist / fetchGithubDoc 完整保留\n * - 新 src/lib/fetcher/index.ts 的 fetchUrl 与旧版 byte 等价（21g-pre parity 验证）\n * - 21g-final commit 一旦完成切换 + 删旧，本文件就成为 SSOT\n */\nimport { mkdir, writeFile } from 'node:fs/promises';\nimport { join } from 'node:path';\n\nimport { buildFrontmatter } from './frontmatter.js';\nimport { htmlToMarkdown, slugify, todayYMD } from './helpers.js';\nimport {\n buildHeaders,\n detectAntibot,\n detectSite,\n fetchHtmlL1,\n fetchHtmlL2,\n PrivateAddressError,\n} from './http.js';\nimport { downloadImages, rewriteMarkdownImages } from './images.js';\nimport { parseGeneric } from './routes/web.js';\nimport { parseWeixin } from './routes/weixin.js';\nimport type { FetchOptions, FetchResult } from './types.js';\n\n// ---------------------------------------------------------------------------\n// fetchUrl 主入口（dispatcher）\n// ---------------------------------------------------------------------------\n\n/**\n * 主入口：URL → 本地 markdown + 图片。\n *\n * Pipeline：\n * 1. detectSite 选 weixin / generic 的 headers / parser\n * 2. L1 fetch；命中 antibot 关键字 → 清空 html\n * 3. L1 失败或被拦 → L2 playwright fallback；仍失败 → 报 ANTIBOT_BLOCKED\n * 4. site 选 parseWeixin / parseGeneric\n * 5. body 太短报 empty_body\n * 6. htmlToMarkdown → 写文件（含 21b buildFrontmatter）+ 下载图 + 改写图链\n *\n * 与旧 fetcher.ts:493-606 byte 等价（21g-pre parity 验证 generic + weixin 各一例）。\n */\nexport async function fetchUrl(url: string, opts: FetchOptions): Promise<FetchResult> {\n const site = detectSite(url);\n const headers = buildHeaders(site);\n let sourceLayer = 'L1';\n let html = '';\n\n // --- L1 fetch ---\n try {\n html = await fetchHtmlL1(url, headers);\n if (detectAntibot(html, site)) {\n html = '';\n }\n } catch (e) {\n // SSRF guard 拒绝时直接冒泡为 FetchResult error，不退 L2 fallback\n // （L2 playwright 同样会被绕过 guard 命中私网，必须显式拒绝）\n if (e instanceof PrivateAddressError) {\n return {\n status: 'error',\n route: 'rich',\n url,\n reason: 'PRIVATE_ADDRESS_BLOCKED',\n suggest:\n `target resolves to private address ${e.address}. ` +\n 'Set LOREKIT_FETCH_ALLOW_PRIVATE=1 to allow (local dev only).',\n };\n }\n // 其它 L1 失败（HTTP 非 2xx / abort / 网络错误）→ 退 L2 fallback\n html = '';\n }\n\n // --- L2 fallback ---\n if (!html) {\n sourceLayer = 'L2';\n const l2html = await fetchHtmlL2(url);\n if (!l2html) {\n return {\n status: 'error',\n route: 'rich',\n url,\n reason: 'ANTIBOT_BLOCKED',\n suggest: 'Install playwright-core + chromium, or paste content manually',\n };\n }\n html = l2html;\n if (detectAntibot(html, site)) {\n return {\n status: 'error',\n route: 'rich',\n url,\n reason: 'ANTIBOT_BLOCKED',\n suggest: 'Site requires login or manual intervention',\n };\n }\n }\n\n // --- Parse ---\n const doc = site === 'weixin' ? parseWeixin(html, url) : parseGeneric(html, url);\n\n if (!doc.bodyHtml || doc.bodyHtml.replace(/<[^>]*>/g, '').trim().length < 50) {\n return {\n status: 'error',\n route: 'rich',\n url,\n reason: 'empty_body',\n };\n }\n\n // --- Convert to markdown ---\n let md = htmlToMarkdown(doc.bodyHtml);\n\n // --- Output paths (Obsidian-compatible flat layout) ---\n // <outRoot>/<slug>.md\n // <outRoot>/<slug>.assets/img_01.jpg\n const slug = slugify(doc.title || 'untitled');\n const assetsDir = join(opts.outRoot, `${slug}.assets`);\n await mkdir(opts.outRoot, { recursive: true });\n\n // --- Download images ---\n let imagesOk = 0;\n let imagesFailed = 0;\n if (!opts.noImages && doc.imgSrcs.length > 0) {\n const imgResults = await downloadImages(doc.imgSrcs, assetsDir, headers, `./${slug}.assets/`);\n md = rewriteMarkdownImages(md, imgResults);\n for (const r of imgResults) {\n if (r.status === 'ok') imagesOk++;\n else imagesFailed++;\n }\n }\n\n // --- Build frontmatter + write article.md ---\n // Follows templates/default-corpus/系统/frontmatter-spec.md\n // 21b buildFrontmatter（routeKind 二元）替换原 inline fmLines 拼装；title/\n // author 在 generic/weixin 路由都是条件输出（21b 已用 generic-full /\n // weixin-no-author-no-date / generic-no-title-no-author 三 case 验证 byte 等价）\n const sourceKind: 'article' | 'clipping' = site === 'weixin' ? 'clipping' : 'article';\n const today = todayYMD();\n const fmLines: string[] = [];\n fmLines.push(\n ...buildFrontmatter({\n routeKind: sourceKind,\n title: doc.title,\n today,\n url,\n author: doc.author,\n publishDate: doc.publishDate,\n }),\n );\n fmLines.push('');\n if (doc.title) fmLines.push(`# ${doc.title}`, '');\n fmLines.push(md, '');\n\n const articlePath = join(opts.outRoot, `${slug}.md`);\n await writeFile(articlePath, fmLines.join('\\n'), 'utf-8');\n\n return {\n status: 'ok',\n route: 'rich',\n url,\n title: doc.title || undefined,\n author: doc.author || undefined,\n publishDate: doc.publishDate,\n sourceKind,\n sourceLayer,\n slug,\n markdown: articlePath,\n assetsDir,\n imagesOk,\n imagesFailed,\n };\n}\n\n// ---------------------------------------------------------------------------\n// Public API re-exports\n// ---------------------------------------------------------------------------\n\nexport { fetchGist } from './routes/gist.js';\nexport { fetchGithubDoc } from './routes/github.js';\nexport type { FetchOptions, FetchResult } from './types.js';\n","/**\n * fetcher/frontmatter.ts — 4 路由共用的 frontmatter 拼装\n *\n * 批次 21b strangler fig 第二步：从 src/lib/fetcher.ts 抽出 frontmatter 生成逻辑。\n * 原 fetcher.ts 仍保留 3 处内嵌拼装代码（generic/weixin 共一处 + gist + github），\n * commands/*.ts 暂未切换，本文件目前未被使用，21f 才切换并删旧文件。\n *\n * ## 4 路由字段差异矩阵\n *\n * | 字段 | generic/weixin | gist | github |\n * | ----------------------------- | ----------------- | ------------- | ----------- |\n * | `type: source` | 总有 | 总有 | 总有 |\n * | `title: \"...\"` | **条件** if title | 总有 | 总有 |\n * | `created: <today>` | 总有 | 总有 | 总有 |\n * | `updated: <today>` | 总有 | 总有 | 总有 |\n * | `source_url: <url>` | 总有 | 总有 | 总有 |\n * | `source_author: \"...\"` | **条件** if 有 | 总有 | 总有 |\n * | `source_date: <YMD>` | 条件 if 有 | 条件 if 有 | **从不输出**|\n * | `source_kind: <kind>` | article/clipping | 固定 gist | 固定 github |\n *\n * 字段顺序、引号风格、缺字段不输出的语义都按上表，与原 4 路由内嵌实现 byte-level 等价。\n *\n * ## byte-level 一致性验证（手动）\n *\n * 用 4 mock 输入分别比对 buildFrontmatter() 和原 fetcher.ts 的 fmLines 数组，\n * `JSON.stringify(actual) === JSON.stringify(expected)` 全部 pass，\n * 详见 `tmp/frontmatter-parity-check.mjs`（一次性脚本，跑完 21b 即可丢弃）。\n */\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\n/**\n * 4 路由的 sourceKind 取值。注意 weixin 写出来是 `clipping`（剪藏），\n * generic 是 `article`，gist / github 同名。\n */\nexport type RouteKind = 'article' | 'clipping' | 'gist' | 'github';\n\nexport interface BuildFrontmatterOpts {\n /** sourceKind，决定 `source_kind:` 字段值，也决定 title/author 必输出还是条件输出 */\n routeKind: RouteKind;\n /** 文章标题。generic/weixin 路由可空（不输出 title 行）；gist/github 路由必填 */\n title?: string;\n /** 创建/更新日期 `YYYY-MM-DD`，调用方传入（一般是 todayYMD()） */\n today: string;\n /** 抓取来源 URL */\n url: string;\n /** 作者。generic/weixin 路由可空（不输出 source_author 行）；gist/github 路由必填 */\n author?: string;\n /** 发布日期 `YYYY-MM-DD`。github 路由忽略此字段（永远不输出） */\n publishDate?: string;\n}\n\n// ---------------------------------------------------------------------------\n// Helpers\n// ---------------------------------------------------------------------------\n\n/**\n * YAML 双引号字符串内嵌双引号需 `\\\"` 转义。原 4 路由都用同一句 `replace(/\"/g, '\\\\\"')`。\n */\nfunction escapeDoubleQuote(s: string): string {\n return s.replace(/\"/g, '\\\\\"');\n}\n\n// ---------------------------------------------------------------------------\n// Public\n// ---------------------------------------------------------------------------\n\n/**\n * 生成 frontmatter YAML 块（含外层 `---` 起止符），返回行数组。\n *\n * 调用方拿到后用 `lines.push(...buildFrontmatter(opts))` 拼到文章 fmLines 里。\n * 拼接后的下一行通常是空行，再跟正文 `# title` 等。\n *\n * 不负责 slug / 写文件 / 正文 —— 仅 frontmatter 一段。\n *\n * 字段输出语义见文件头注释的差异矩阵。\n */\nexport function buildFrontmatter(opts: BuildFrontmatterOpts): string[] {\n const { routeKind, title, today, url, author, publishDate } = opts;\n const omitPublishDate = routeKind === 'github';\n\n const lines: string[] = ['---'];\n lines.push('type: source');\n\n // title / author 在 generic/weixin 是条件输出；在 gist/github 调用方\n // 必传非空字符串，分支同样命中。统一用 truthy 判定，与原 4 路由 `if (xxx)` 等价。\n if (title) {\n lines.push(`title: \"${escapeDoubleQuote(title)}\"`);\n }\n // slug 留空：fetcher 不知道最终归档位置（_工作台 vs 原料/剪藏 vs 原料/文章），\n // wiki-ingest 在 mv 时再补。语义同原代码注释。\n\n lines.push(`created: ${today}`);\n lines.push(`updated: ${today}`);\n lines.push(`source_url: ${url}`);\n\n if (author) {\n lines.push(`source_author: \"${escapeDoubleQuote(author)}\"`);\n }\n\n if (!omitPublishDate && publishDate) {\n lines.push(`source_date: ${publishDate}`);\n }\n\n lines.push(`source_kind: ${routeKind}`);\n lines.push('---');\n\n return lines;\n}\n","/**\n * fetcher/helpers.ts — 通用工具函数（slug / url / markdown / 日期）\n *\n * 批次 21a strangler fig 第一步：从 src/lib/fetcher.ts copy 出来作为旁路新模块。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换，本文件目前未被使用。\n *\n * self-contained：不 import fetcher 子目录下其他模块。\n */\nimport TurndownService from 'turndown';\n\n// ---------------------------------------------------------------------------\n// 字符串 / URL helper\n// ---------------------------------------------------------------------------\n\n/**\n * 把任意字符串裁成可作文件名的 slug：\n * 保留 word 字符（含中文），其他符号收敛成 `-`，限长 50；空串回退 `untitled`。\n */\nexport function slugify(s: string): string {\n let slug = s.replace(/[^\\w\\u4e00-\\u9fff-]+/g, '-').replace(/^-+|-+$/g, '');\n return slug.slice(0, 50) || 'untitled';\n}\n\n/**\n * 相对 URL 解析为绝对 URL；解析失败则原样返回，避免异常向上抛。\n */\nexport function resolveUrl(src: string, base: string): string {\n try {\n return new URL(src, base).href;\n } catch {\n // URL 构造失败说明输入已经是非法 URI（典型如 `data:` / 空字符串），\n // 维持原值让上游 caller 自己决定怎么处理。\n return src;\n }\n}\n\n// ---------------------------------------------------------------------------\n// HTML -> Markdown\n// ---------------------------------------------------------------------------\n\n/**\n * Turndown 包装：固定 ATX heading + fenced code 风格，trim 末尾空白。\n */\nexport function htmlToMarkdown(html: string): string {\n const td = new TurndownService({\n headingStyle: 'atx',\n codeBlockStyle: 'fenced',\n });\n return td.turndown(html).trim();\n}\n\n// ---------------------------------------------------------------------------\n// 日期 helper（Asia/Shanghai 视角）\n// ---------------------------------------------------------------------------\n\nconst SHANGHAI_TZ_OFFSET_MS = 8 * 60 * 60 * 1000;\n\n/**\n * 把 unix seconds 时间戳格式化为 `YYYY-MM-DD`（Asia/Shanghai）。\n */\nexport function tsToYMD(seconds: number): string {\n const d = new Date(seconds * 1000 + SHANGHAI_TZ_OFFSET_MS);\n return d.toISOString().slice(0, 10);\n}\n\n/**\n * 当前日期 `YYYY-MM-DD`（Asia/Shanghai）。\n *\n * 注意：批次 9 已建立 `src/lib/date.ts`，迁移到统一 helper 的工作留给批次 21\n * 后续子批一起做（见 LEGACY 批次 9 备注）。本批次仅 copy 保持行为一致。\n */\nexport function todayYMD(): string {\n const d = new Date(Date.now() + SHANGHAI_TZ_OFFSET_MS);\n return d.toISOString().slice(0, 10);\n}\n\n/**\n * 把人类常见格式的日期文本归一化为 `YYYY-MM-DD`。\n * 支持 ISO（`2026-04-15` / `2026/04/15` / 带 `T...`）和中文（`2026年4月15日`）。\n * 无法识别返回 undefined。\n */\nexport function normalizeDateText(raw: string): string | undefined {\n const s = raw.trim();\n if (!s) return undefined;\n // ISO-ish: 2026-04-15, 2026/04/15, 2026-04-15T10:00:00+08:00\n const iso = s.match(/(\\d{4})[-/.](\\d{1,2})[-/.](\\d{1,2})/);\n if (iso) {\n const [, y, m, d] = iso;\n return `${y}-${m.padStart(2, '0')}-${d.padStart(2, '0')}`;\n }\n // Chinese: 2026年4月15日\n const zh = s.match(/(\\d{4})\\s*年\\s*(\\d{1,2})\\s*月\\s*(\\d{1,2})\\s*日/);\n if (zh) {\n const [, y, m, d] = zh;\n return `${y}-${m.padStart(2, '0')}-${d.padStart(2, '0')}`;\n }\n return undefined;\n}\n","/**\n * fetcher/http.ts — 站点检测、请求头、antibot 探测、L1/L2 抓页\n *\n * 批次 21a strangler fig 第一步：从 src/lib/fetcher.ts copy 出来作为旁路新模块。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换，本文件目前未被使用。\n *\n * 依赖关系：本文件不 import fetcher/helpers.ts 或 fetcher/images.ts，self-contained。\n * `HTTP_TIMEOUT_MS` 同时被 fetcher/images.ts 引用（images→http 单向依赖）。\n *\n * SSRF 防御（PR #5）：\n * `fetchHtmlL1` 默认拒绝抓取解析到 RFC 1918 / RFC 6890 私网范围的目标，\n * 并手动跟随 redirect（最多 5 跳）逐跳重检，避免 redirect-to-private-ip 绕过。\n * 用户可通过环境变量 `LOREKIT_FETCH_ALLOW_PRIVATE=1` opt-out（本地开发 / 自建\n * localhost wiki 场景）。注意：该检查仅作用于 fetcher，**不影响** `lib/ollama.ts`\n * 的本地 localhost:11434 调用（那是另一个 import 路径，未经 http.ts）。\n */\n\nimport { lookup } from 'node:dns/promises';\nimport { BlockList, isIP } from 'node:net';\n\n// ---------------------------------------------------------------------------\n// Constants\n// ---------------------------------------------------------------------------\n\nconst UA_IPHONE =\n 'Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) ' +\n 'AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 ' +\n 'Mobile/15E148 Safari/604.1';\n\nconst UA_DESKTOP =\n 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) ' +\n 'AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36';\n\n/**\n * L1 / L2 抓页超时（ms）。images.ts 下载图片时也复用此常量。\n */\nexport const HTTP_TIMEOUT_MS = 20_000;\n\n/**\n * 手动跟随 redirect 的最大跳数。超过即拒绝（防 redirect 循环 / SSRF 跳板）。\n */\nconst MAX_REDIRECTS = 5;\n\nconst ANTIBOT_TRIGGERS = [\n '环境异常',\n '请在微信客户端打开',\n '完成验证后即可继续',\n 'Just a moment',\n 'cf-browser-verification',\n];\n\n// ---------------------------------------------------------------------------\n// SSRF guard\n// ---------------------------------------------------------------------------\n\n/**\n * 私网 / 链路本地 / loopback 地址段。RFC 1918 / RFC 6890 / RFC 4193。\n * 与 `node:net.BlockList` 配合使用做 IP 归属判断。\n */\nconst PRIVATE_BLOCKS = (() => {\n const bl = new BlockList();\n // IPv4 RFC 1918 + loopback + link-local\n bl.addSubnet('127.0.0.0', 8, 'ipv4');\n bl.addSubnet('10.0.0.0', 8, 'ipv4');\n bl.addSubnet('172.16.0.0', 12, 'ipv4');\n bl.addSubnet('192.168.0.0', 16, 'ipv4');\n bl.addSubnet('169.254.0.0', 16, 'ipv4');\n bl.addSubnet('0.0.0.0', 8, 'ipv4'); // 0.0.0.0/8 — \"this network\"\n // IPv6 loopback + ULA + link-local\n bl.addAddress('::1', 'ipv6');\n bl.addSubnet('fc00::', 7, 'ipv6');\n bl.addSubnet('fe80::', 10, 'ipv6');\n return bl;\n})();\n\n/**\n * 由 SSRF guard 抛出的 sentinel error。调用方可用 `instanceof` 识别后短路 L2\n * fallback，把私网拒绝原因冒泡给用户（而不是被通用 catch 误判为 antibot）。\n */\nexport class PrivateAddressError extends Error {\n readonly code = 'SSRF_PRIVATE_ADDRESS';\n constructor(\n message: string,\n public readonly host: string,\n public readonly address: string,\n ) {\n super(message);\n this.name = 'PrivateAddressError';\n }\n}\n\nfunction isPrivateOptOut(): boolean {\n const v = process.env.LOREKIT_FETCH_ALLOW_PRIVATE;\n return v === '1' || v === 'true';\n}\n\n/**\n * 检查给定 host 的 DNS 解析结果是否落在私网范围。\n * - host 已经是 IP 字面量：直接判定\n * - 否则 `dns.lookup()` 拿 A/AAAA 记录后判定\n *\n * 命中即抛 `PrivateAddressError`；未命中静默返回。\n * 若环境变量 `LOREKIT_FETCH_ALLOW_PRIVATE=1` 已设置，本函数直接跳过检查。\n */\nexport async function assertPublicAddress(urlStr: string): Promise<void> {\n if (isPrivateOptOut()) return;\n\n let parsed: URL;\n try {\n parsed = new URL(urlStr);\n } catch {\n // URL 无法解析交给上游 fetch 报错，不在 SSRF 层判\n return;\n }\n\n // 仅检查 http(s)；其它 scheme（data:/file:）由上游决定是否拒绝\n if (parsed.protocol !== 'http:' && parsed.protocol !== 'https:') return;\n\n const rawHost = parsed.hostname;\n // URL.hostname 对 IPv6 会带方括号 [::1]，去掉以匹配 isIP / dns.lookup\n const host = rawHost.startsWith('[') && rawHost.endsWith(']') ? rawHost.slice(1, -1) : rawHost;\n if (!host) return;\n\n const ipVersion = isIP(host);\n if (ipVersion === 4 || ipVersion === 6) {\n const family = ipVersion === 4 ? 'ipv4' : 'ipv6';\n if (PRIVATE_BLOCKS.check(host, family)) {\n throw new PrivateAddressError(\n `refusing to fetch private address ${host} (set LOREKIT_FETCH_ALLOW_PRIVATE=1 to override)`,\n host,\n host,\n );\n }\n return;\n }\n\n // 普通域名 → DNS 解析\n let addr: { address: string; family: number };\n try {\n addr = await lookup(host);\n } catch {\n // DNS 失败交给上游 fetch 报错（用户能看到更明确的 ENOTFOUND）\n return;\n }\n const family = addr.family === 6 ? 'ipv6' : 'ipv4';\n if (PRIVATE_BLOCKS.check(addr.address, family)) {\n throw new PrivateAddressError(\n `refusing to fetch ${host} which resolves to private address ${addr.address} ` +\n `(set LOREKIT_FETCH_ALLOW_PRIVATE=1 to override)`,\n host,\n addr.address,\n );\n }\n}\n\n// ---------------------------------------------------------------------------\n// Site detection / headers\n// ---------------------------------------------------------------------------\n\n/**\n * 简单 host 匹配：识别微信公众号文章，其他一律 'generic'。\n */\nexport function detectSite(url: string): 'weixin' | 'generic' {\n try {\n const host = new URL(url).hostname.toLowerCase();\n if (host.includes('mp.weixin.qq.com')) return 'weixin';\n } catch {\n /* ignore */\n }\n return 'generic';\n}\n\n/**\n * 按站点构造 fetch headers：微信公众号必须 iPhone UA + Referer 才返回正文。\n */\nexport function buildHeaders(site: string): Record<string, string> {\n if (site === 'weixin') {\n return {\n 'User-Agent': UA_IPHONE,\n Referer: 'https://mp.weixin.qq.com/',\n 'Accept-Language': 'zh-CN,zh;q=0.9',\n Accept: 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',\n };\n }\n return {\n 'User-Agent': UA_DESKTOP,\n 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',\n Accept: 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',\n };\n}\n\n/**\n * 粗略判断返回 HTML 是否被反爬拦截。微信特别加了\"无 js_content 节点\"启发式。\n */\nexport function detectAntibot(html: string, site: string): boolean {\n if (ANTIBOT_TRIGGERS.some((t) => html.includes(t))) return true;\n if (site === 'weixin' && !html.includes('js_content')) return true;\n return false;\n}\n\n// ---------------------------------------------------------------------------\n// L1 fetch — native Node fetch\n// ---------------------------------------------------------------------------\n\n/**\n * 用 Node 内置 fetch 拉 HTML，超时由 HTTP_TIMEOUT_MS 控制。\n *\n * 行为说明：\n * - 默认拒绝私网（RFC 1918 / RFC 6890）目标；可由 `LOREKIT_FETCH_ALLOW_PRIVATE=1`\n * 绕过（本地开发场景）。失败抛 `PrivateAddressError`\n * - `redirect: 'manual'` 手动跟随，最多 `MAX_REDIRECTS=5` 跳，每跳前对目标 URL\n * 重新做 SSRF 检查（避免公网 URL 通过 302 跳板进内网）\n * - HTTP 非 2xx 或 abort 抛 `Error`，由调用方决定是否走 L2 fallback\n */\nexport async function fetchHtmlL1(url: string, headers: Record<string, string>): Promise<string> {\n const controller = new AbortController();\n const timer = setTimeout(() => controller.abort(), HTTP_TIMEOUT_MS);\n try {\n let currentUrl = url;\n for (let hop = 0; hop <= MAX_REDIRECTS; hop++) {\n // 每跳前 SSRF 检查（首跳也查）\n await assertPublicAddress(currentUrl);\n\n const res = await fetch(currentUrl, {\n headers,\n redirect: 'manual',\n signal: controller.signal,\n });\n\n // 3xx with Location → 手动跟随\n if (res.status >= 300 && res.status < 400) {\n const loc = res.headers.get('location');\n if (!loc) {\n // 没有 Location header 的 3xx 当作错误返回\n throw new Error(`HTTP ${res.status} without Location header`);\n }\n if (hop === MAX_REDIRECTS) {\n throw new Error(`too many redirects (>${MAX_REDIRECTS}) starting from ${url}`);\n }\n // 相对 URL 用 currentUrl 作 base 解析\n currentUrl = new URL(loc, currentUrl).toString();\n // 释放 body，避免连接泄漏\n try {\n await res.arrayBuffer();\n } catch {\n // 流式响应可能已 abort，吞掉\n }\n continue;\n }\n\n if (!res.ok) throw new Error(`HTTP ${res.status}`);\n return await res.text();\n }\n // 理论不可达：循环出口都在 return / throw\n throw new Error(`unreachable: redirect loop exit ${url}`);\n } finally {\n clearTimeout(timer);\n }\n}\n\n// ---------------------------------------------------------------------------\n// L2 fetch — optional playwright-core\n// ---------------------------------------------------------------------------\n\n/**\n * playwright-core fallback。可选依赖，缺了或 chromium 没装就返回 null，\n * 由调用方汇报 ANTIBOT_BLOCKED。\n */\nexport async function fetchHtmlL2(url: string): Promise<string | null> {\n try {\n // Dynamic import — playwright-core is optional\n // @ts-expect-error — playwright-core 是可选依赖，类型可能未安装\n const pw = await import('playwright-core');\n const browser = await pw.chromium.launch({ headless: true });\n try {\n const page = await browser.newPage();\n await page.goto(url, { waitUntil: 'networkidle', timeout: 60_000 });\n return await page.content();\n } finally {\n await browser.close();\n }\n } catch {\n // playwright-core not installed or chromium not available\n return null;\n }\n}\n","/**\n * fetcher/images.ts — 图片下载、magic byte 嗅探、markdown 链接重写\n *\n * 批次 21a strangler fig 第一步：从 src/lib/fetcher.ts copy 出来作为旁路新模块。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换，本文件目前未被使用。\n *\n * 依赖关系：仅 import fetcher/http.ts 的 HTTP_TIMEOUT_MS，不依赖 helpers.ts。\n */\nimport { mkdir, writeFile } from 'node:fs/promises';\nimport { join } from 'node:path';\n\nimport { HTTP_TIMEOUT_MS } from './http.js';\n\n// ---------------------------------------------------------------------------\n// Constants\n// ---------------------------------------------------------------------------\n\nconst MAX_IMG_BYTES = 5 * 1024 * 1024;\nconst IMG_CONCURRENCY = 5;\n\n// 常见图片格式的 magic bytes — 优先靠字节签名判断扩展名，\n// 其次才落回 Content-Type（远端 MIME 经常乱报）。\nconst MAGIC: Array<[Uint8Array | number[], string]> = [\n [[0xff, 0xd8, 0xff], '.jpg'],\n [[0x89, 0x50, 0x4e, 0x47, 0x0d, 0x0a, 0x1a, 0x0a], '.png'], // \\x89PNG\\r\\n\\x1a\\n\n [[0x47, 0x49, 0x46, 0x38, 0x37, 0x61], '.gif'], // GIF87a\n [[0x47, 0x49, 0x46, 0x38, 0x39, 0x61], '.gif'], // GIF89a\n];\n\n// ---------------------------------------------------------------------------\n// Types\n// ---------------------------------------------------------------------------\n\nexport interface ImgDownloadResult {\n originalUrl: string;\n localRel: string | null; // relative path like ./images/img_01.jpg\n status: 'ok' | 'failed' | 'too_large';\n}\n\n// ---------------------------------------------------------------------------\n// Magic byte sniffing\n// ---------------------------------------------------------------------------\n\n/**\n * 优先按文件头的 magic bytes 判扩展，不命中再用 Content-Type 作 fallback。\n * 都不命中返回 null（调用方应当丢弃此图）。\n */\nexport function sniffExt(head: Uint8Array, contentType: string): string | null {\n for (const [sig, ext] of MAGIC) {\n if (sig.every((b, i) => head[i] === b)) return ext;\n }\n // RIFF....WEBP\n if (\n head[0] === 0x52 &&\n head[1] === 0x49 &&\n head[2] === 0x46 &&\n head[3] === 0x46 &&\n head[8] === 0x57 &&\n head[9] === 0x45 &&\n head[10] === 0x42 &&\n head[11] === 0x50\n ) {\n return '.webp';\n }\n const ct = contentType.toLowerCase();\n if (ct.includes('image/jpeg') || ct.includes('image/jpg')) return '.jpg';\n if (ct.includes('image/png')) return '.png';\n if (ct.includes('image/gif')) return '.gif';\n if (ct.includes('image/webp')) return '.webp';\n if (ct.includes('image/svg')) return '.svg';\n return null;\n}\n\n// ---------------------------------------------------------------------------\n// Image downloading\n// ---------------------------------------------------------------------------\n\n/**\n * 单张图下载：最多 2 次尝试；超过 MAX_IMG_BYTES 标 too_large；\n * 文件名格式 `img_{idx:02d}.{ext}`，相对链接形如 `./<slug>.assets/img_01.jpg`。\n */\nexport async function downloadOneImage(\n url: string,\n idx: number,\n imagesDir: string,\n headers: Record<string, string>,\n assetsRelPath: string,\n): Promise<ImgDownloadResult> {\n for (let attempt = 0; attempt < 2; attempt++) {\n try {\n const controller = new AbortController();\n const timer = setTimeout(() => controller.abort(), HTTP_TIMEOUT_MS);\n const res = await fetch(url, {\n headers,\n redirect: 'follow',\n signal: controller.signal,\n });\n clearTimeout(timer);\n\n if (!res.ok) continue;\n\n const cl = Number(res.headers.get('content-length') || 0);\n if (cl && cl > MAX_IMG_BYTES) {\n return { originalUrl: url, localRel: null, status: 'too_large' };\n }\n\n const buf = await res.arrayBuffer();\n if (buf.byteLength > MAX_IMG_BYTES) {\n return { originalUrl: url, localRel: null, status: 'too_large' };\n }\n\n const data = new Uint8Array(buf);\n const ext = sniffExt(data.slice(0, 16), res.headers.get('content-type') || '');\n if (!ext) continue;\n\n const fname = `img_${String(idx).padStart(2, '0')}${ext}`;\n await writeFile(join(imagesDir, fname), data);\n // localRel 相对于 .md 文件位置；assetsRelPath 例如 \"./<slug>.assets/\"\n return { originalUrl: url, localRel: `${assetsRelPath}${fname}`, status: 'ok' };\n } catch {\n // retry\n }\n }\n return { originalUrl: url, localRel: null, status: 'failed' };\n}\n\n/**\n * 批量下载：按 IMG_CONCURRENCY 分批 Promise.all，避免一次打开太多 socket。\n * 返回结果数组顺序对应 imgSrcs。\n */\nexport async function downloadImages(\n imgSrcs: string[],\n imagesDir: string,\n headers: Record<string, string>,\n assetsRelPath: string,\n): Promise<ImgDownloadResult[]> {\n if (imgSrcs.length === 0) return [];\n await mkdir(imagesDir, { recursive: true });\n\n const results: ImgDownloadResult[] = [];\n // Process in batches of IMG_CONCURRENCY\n for (let i = 0; i < imgSrcs.length; i += IMG_CONCURRENCY) {\n const batch = imgSrcs.slice(i, i + IMG_CONCURRENCY);\n const batchResults = await Promise.all(\n batch.map((src, j) => downloadOneImage(src, i + j + 1, imagesDir, headers, assetsRelPath)),\n );\n results.push(...batchResults);\n }\n return results;\n}\n\n// ---------------------------------------------------------------------------\n// Markdown link rewriting\n// ---------------------------------------------------------------------------\n\n/**\n * 用下载结果把 markdown 中的 `![alt](远端 URL)` 重写为 `![alt](本地相对路径)`。\n * 下载失败的图保留原 URL。\n */\nexport function rewriteMarkdownImages(md: string, imgResults: ImgDownloadResult[]): string {\n const urlToLocal = new Map<string, string>();\n for (const r of imgResults) {\n if (r.status === 'ok' && r.localRel) {\n urlToLocal.set(r.originalUrl, r.localRel);\n }\n }\n // Replace ![alt](url) with ![alt](localRel)\n return md.replace(/!\\[([^\\]]*)\\]\\(([^)]+)\\)/g, (match, alt, url) => {\n const local = urlToLocal.get(url);\n return local ? `![${alt}](${local})` : match;\n });\n}\n","/**\n * fetcher/routes/web.ts — generic 网页解析（OpenGraph + meta + article/main/body）\n *\n * 批次 21c strangler fig 第三步：从 src/lib/fetcher.ts copy 出 parseGeneric。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import，仅作旁路 parser。21g 才创建 routes/index.ts dispatcher 取代\n * fetchUrl 内的 `site === 'weixin' ? parseWeixin : parseGeneric` 三元逻辑。\n *\n * 不含微信特定逻辑（见 21d 抽 routes/weixin.ts）。\n * 不含 frontmatter 拼装（见 21b 的 frontmatter.ts，本文件仅做 HTML → ParsedDoc）。\n */\nimport * as cheerio from 'cheerio';\n\nimport { normalizeDateText, resolveUrl } from '../helpers.js';\nimport type { ParsedDoc } from '../types.js';\n\n// ParsedDoc 21g-pre 上提到 fetcher/types.ts，本文件 21c 内的 inline 定义已删除。\n// 字段、可选性、注释完全一致，纯类型替换。\n\n// ---------------------------------------------------------------------------\n// parseGeneric\n// ---------------------------------------------------------------------------\n\n/**\n * generic 网页 HTML → ParsedDoc。\n *\n * 策略：\n * - title: og:title > <title>\n * - author: meta[name=author]\n * - publishDate: 一组常见 meta / `<time datetime>` / `<time>` 文本，按优先级第一个能解析的胜出\n * - body: <article> > <main> > <body>（找不到则返回空 bodyHtml）\n * - 图片：data-src > data-original > src，相对路径转绝对，丢弃 data:URL\n */\nexport function parseGeneric(html: string, baseUrl: string): ParsedDoc {\n const $ = cheerio.load(html);\n\n // Title\n const ogTitle = $('meta[property=\"og:title\"]').attr('content')?.trim();\n const titleTag = $('title').text().trim();\n const title = ogTitle || titleTag || '';\n\n // Author\n const author = $('meta[name=\"author\"]').attr('content')?.trim() || '';\n\n // Publish date — common places: OpenGraph article, meta, <time datetime>, JSON-LD\n let publishDate: string | undefined;\n const dateCandidates: Array<string | undefined> = [\n $('meta[property=\"article:published_time\"]').attr('content'),\n $('meta[property=\"og:article:published_time\"]').attr('content'),\n $('meta[name=\"article:published_time\"]').attr('content'),\n $('meta[itemprop=\"datePublished\"]').attr('content'),\n $('meta[name=\"date\"]').attr('content'),\n $('meta[name=\"pubdate\"]').attr('content'),\n $('meta[name=\"publishdate\"]').attr('content'),\n $('time[datetime]').first().attr('datetime'),\n $('time').first().text(),\n ];\n for (const cand of dateCandidates) {\n if (!cand) continue;\n const norm = normalizeDateText(cand);\n if (norm) {\n publishDate = norm;\n break;\n }\n }\n\n // Body: article > main > body\n let body = $('article');\n if (!body.length) body = $('main');\n if (!body.length) body = $('body');\n if (!body.length) {\n return { title, author, publishDate, bodyHtml: '', imgSrcs: [] };\n }\n\n // Clean junk\n body.find('script, style, nav, footer, header, aside').remove();\n\n // Normalize images\n const imgSrcs: string[] = [];\n body.find('img').each((_i, el) => {\n const $el = $(el);\n const real = (\n $el.attr('data-src') ||\n $el.attr('data-original') ||\n $el.attr('src') ||\n ''\n ).trim();\n if (!real || real.startsWith('data:')) {\n $el.remove();\n return;\n }\n const abs = resolveUrl(real, baseUrl);\n $el.attr('src', abs);\n imgSrcs.push(abs);\n });\n\n return { title, author, publishDate, bodyHtml: body.html() || '', imgSrcs };\n}\n","/**\n * fetcher/routes/weixin.ts — 微信公众号文章解析\n *\n * 批次 21d strangler fig 第四步：从 src/lib/fetcher.ts copy 出 parseWeixin。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import，仅作旁路 parser。21g 才创建 routes/index.ts dispatcher 取代\n * fetchUrl 内的 `site === 'weixin' ? parseWeixin : parseGeneric` 三元逻辑。\n *\n * ## 与原 parseWeixin 的差异（LEGACY P4-4 顺手修，规划方批准）\n *\n * 旧版只识别 `<img>` 标签的 lazy attrs（data-src / data-original / data-url）。\n * 部分微信文章用 `<picture><source srcset=\"...\"><img ...></picture>` 或仅 `<picture>\n * <source srcset=\"...\"></picture>`（无 img）的写法，旧版会丢图。\n *\n * 新版在跑 img 流程前先扫一遍 `<picture>` 节点：\n * - 取内部第一个 `<source>` 的 `srcset`，parse 第一个 URL（srcset 语法：`url [w|x], url2 [w|x], ...`，用 `,` 分隔候选 + 空白分隔 url 与 descriptor）\n * - 若 picture 内有 `<img>` 且其 `src/data-src/data-original/data-url` 都为空，把 srcset url 写入 `data-src`（让后续 img 流程统一处理）\n * - 若 picture 内无 `<img>` 且 srcset 有效，append 一个 `<img data-src=\"...\">`\n * - 用 picture 的 first `<img>` 节点替换 picture 整体（unwrap），删掉 picture 与所有 `<source>` 子节点，避免 turndown 输出残留\n * - 兜底：扫整个 body 内残留的 `<source>` 节点（picture 之外野生的，极少见）一并 remove\n *\n * 这样后续 `body.find('img').each(...)` 流程不变，imgSrcs 自然累加。\n */\nimport * as cheerio from 'cheerio';\n\nimport { normalizeDateText, resolveUrl, tsToYMD } from '../helpers.js';\nimport type { ParsedDoc } from '../types.js';\n\n// ParsedDoc 21g-pre 上提到 fetcher/types.ts，本文件 21d 内的 inline 定义已删除。\n// 字段、可选性、注释完全一致，纯类型替换。\n\n// ---------------------------------------------------------------------------\n// P4-4 helper: srcset → 第一个 URL\n// ---------------------------------------------------------------------------\n\n/**\n * srcset 形如：`a.jpg 320w, b.jpg 640w` 或 `a.jpg, b.jpg 2x`。\n * 取第一个候选（按 `,` 分），再取候选里第一个 whitespace token（去掉 `Nw` / `Nx` descriptor）。\n * 空 / 非法返回空串。\"最高质量 URL\"判断需要 parse w/x 比较，本批次只取第一个保持最简实现。\n */\nfunction firstSrcsetUrl(srcset: string): string {\n const s = srcset.trim();\n if (!s) return '';\n const firstCandidate = s.split(',')[0].trim();\n if (!firstCandidate) return '';\n const url = firstCandidate.split(/\\s+/)[0].trim();\n return url;\n}\n\n// ---------------------------------------------------------------------------\n// parseWeixin\n// ---------------------------------------------------------------------------\n\nexport function parseWeixin(html: string, baseUrl: string): ParsedDoc {\n const $ = cheerio.load(html);\n\n // Title\n let title =\n $('h1#activity-name').text().trim() ||\n $('h1.rich_media_title').text().trim() ||\n $('meta[property=\"og:title\"]').attr('content')?.trim() ||\n '';\n\n // Author\n const author = $('a#js_name').text().trim() || $('#js_author_name').text().trim() || '';\n\n // Publish date — prefer `var ct = \"<unix seconds>\"` (most reliable),\n // fallback to <em id=\"publish_time\"> text node.\n let publishDate: string | undefined;\n const ctMatch = html.match(/var\\s+ct\\s*=\\s*\"(\\d+)\"/);\n if (ctMatch) {\n const ts = Number(ctMatch[1]);\n if (Number.isFinite(ts) && ts > 0) publishDate = tsToYMD(ts);\n }\n if (!publishDate) {\n const ptText = $('em#publish_time').text().trim();\n if (ptText) publishDate = normalizeDateText(ptText);\n }\n\n // Body\n const body = $('#js_content');\n if (!body.length) {\n return { title, author, publishDate, bodyHtml: '', imgSrcs: [] };\n }\n\n // Clean\n body.find('script, style').remove();\n\n // ---------------------------------------------------------------------------\n // P4-4: 把 <picture><source srcset> 展开成 <img>，再走原有 img 流程\n // ---------------------------------------------------------------------------\n body.find('picture').each((_i, el) => {\n const $picture = $(el);\n // 取第一个 source 的 srcset\n const $firstSource = $picture.find('source[srcset]').first();\n const srcsetRaw = $firstSource.attr('srcset') || '';\n const pickedUrl = firstSrcsetUrl(srcsetRaw);\n\n let $img = $picture.find('img').first();\n\n if ($img.length) {\n // 有 img：若 src / data-* 都空才用 srcset 兜底，避免覆盖原有更明确的来源\n const existing = (\n $img.attr('data-src') ||\n $img.attr('data-original') ||\n $img.attr('data-url') ||\n $img.attr('src') ||\n ''\n ).trim();\n if (!existing && pickedUrl) {\n $img.attr('data-src', pickedUrl);\n }\n } else if (pickedUrl) {\n // 无 img：用 srcset url 新建一个，后续 img 流程统一处理\n $picture.append(`<img data-src=\"${pickedUrl}\">`);\n $img = $picture.find('img').first();\n }\n\n // unwrap：用 img 替换 picture 整体；若没拿到 img（srcset 也空），picture 整块移除\n if ($img.length) {\n $picture.replaceWith($img);\n } else {\n $picture.remove();\n }\n });\n\n // 兜底：清掉野生 <source> 节点（picture 之外极少见，但为 turndown 干净起见统一删）\n body.find('source').remove();\n\n // Normalize images: data-src / data-original → src\n const imgSrcs: string[] = [];\n body.find('img').each((_i, el) => {\n const $el = $(el);\n const real = (\n $el.attr('data-src') ||\n $el.attr('data-original') ||\n $el.attr('data-url') ||\n $el.attr('src') ||\n ''\n ).trim();\n if (!real || real.startsWith('data:')) {\n $el.remove();\n return;\n }\n const abs = resolveUrl(real, baseUrl);\n $el.attr('src', abs);\n // Remove noisy attrs\n for (const a of [\n 'data-src',\n 'data-original',\n 'data-url',\n 'data-w',\n 'data-ratio',\n 'data-type',\n 'data-s',\n 'srcset',\n ]) {\n $el.removeAttr(a);\n }\n imgSrcs.push(abs);\n });\n\n return { title, author, publishDate, bodyHtml: body.html() || '', imgSrcs };\n}\n","/**\n * fetcher/routes/gist.ts — GitHub Gist 抓取\n *\n * 批次 21e strangler fig 第五步：从 src/lib/fetcher.ts copy 出 parseGistUrl + fetchGist。\n * 原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换；本文件目前未被任何\n * 调用方 import，仅作旁路。21g 才切换 dispatcher 并删旧。\n *\n * **本批首次集成 21b 的 buildFrontmatter()**：旧 fetchGist 内嵌的 fmLines 拼装段\n * 替换为 `lines.push(...buildFrontmatter({routeKind: 'gist', ...}))`，验证 21b 抽出的\n * helper 设计可用。21b 已用 6 mock case 证明 byte-level 等价；本文件因此 frontmatter\n * 段无需重复验证，整份文件 buffer 等价由 21e 自有 mock 兜底。\n */\nimport { mkdir, writeFile } from 'node:fs/promises';\nimport { join } from 'node:path';\n\nimport * as cheerio from 'cheerio';\n\nimport { buildFrontmatter } from '../frontmatter.js';\nimport { normalizeDateText, slugify, todayYMD } from '../helpers.js';\nimport { buildHeaders, fetchHtmlL1 } from '../http.js';\nimport type { FetchResult } from '../types.js';\n\n// FetchResult 21g-pre 上提到 fetcher/types.ts，本文件 21e 内的 inline 定义已删除。\n// 字段、可选性、注释完全一致，纯类型替换。\n\n// ---------------------------------------------------------------------------\n// parseGistUrl\n// ---------------------------------------------------------------------------\n\n/**\n * 校验并解析 gist URL。仅接受 `gist.github.com` / `gist.githubusercontent.com`，\n * 路径需含 `/<user>/<id>` 至少两段。其余返回 null。\n */\nexport function parseGistUrl(url: string): { user: string; id: string } | null {\n try {\n const u = new URL(url);\n if (\n !u.hostname.endsWith('gist.github.com') &&\n !u.hostname.endsWith('gist.githubusercontent.com')\n ) {\n return null;\n }\n const parts = u.pathname.split('/').filter(Boolean);\n if (parts.length < 2) return null;\n return { user: parts[0], id: parts[1] };\n } catch {\n return null;\n }\n}\n\n// ---------------------------------------------------------------------------\n// fetchGist 主流程\n// ---------------------------------------------------------------------------\n\n/**\n * gist 抓取流程：\n * 1. 校验 URL，解析 user / id\n * 2. fetch gist 主页 HTML（L1 only，gist 页面不需要 playwright）\n * 3. 用 cheerio 抽 title / author / publishDate\n * 4. 扫所有 `<a href>`，匹配 `/<user>/<id>/raw/<sha>/<filename>` 模式抽 raw 链接\n * 5. 优先 `.md` / `.markdown`，否则取第一个；二次 fetch 拿正文\n * 6. 拼 frontmatter（用 21b buildFrontmatter）+ 可选 H1 + 正文，写到 outRoot/<slug>.md\n *\n * 失败路径返回 `{status:'error', reason:...}`，由调用方决定是否兜底。\n */\nexport async function fetchGist(url: string, outRoot: string): Promise<FetchResult> {\n const parsed = parseGistUrl(url);\n if (!parsed) {\n return { status: 'error', route: 'gist', url, reason: 'invalid_gist_url' };\n }\n\n const headers = buildHeaders('generic');\n let html: string;\n try {\n html = await fetchHtmlL1(url, headers);\n } catch (e) {\n return {\n status: 'error',\n route: 'gist',\n url,\n reason: `fetch_failed: ${(e as Error).message}`,\n };\n }\n\n const $ = cheerio.load(html);\n\n // gist 页面把描述放在 .gist-header [itemprop=\"about\"]，OpenGraph title 通常是第一个文件名\n const description = $('[itemprop=\"about\"]').first().text().trim();\n const ogTitle = $('meta[property=\"og:title\"]').attr('content')?.trim();\n const title = description || ogTitle || parsed.id;\n\n const author = parsed.user;\n\n // 日期：<relative-time datetime=\"ISO\"> 是 GitHub 标准元素\n let publishDate: string | undefined;\n const dateRaw =\n $('relative-time').first().attr('datetime') ||\n $('time-ago').first().attr('datetime') ||\n $('meta[property=\"article:published_time\"]').attr('content') ||\n '';\n if (dateRaw) publishDate = normalizeDateText(dateRaw);\n\n // 抽 raw 链接。gist 页面的 raw 链接形如：\n // /karpathy/442a6b.../raw/ac46de.../llm-wiki.md\n const rawRe = /^\\/([^/]+)\\/([a-f0-9]{20,})\\/raw\\/([a-f0-9]{20,})\\/(.+)$/i;\n const rawLinks: Array<{ name: string; rawUrl: string }> = [];\n $('a').each((_i, el) => {\n const href = $(el).attr('href') || '';\n const m = href.match(rawRe);\n if (m) {\n rawLinks.push({\n name: m[4],\n rawUrl: 'https://gist.githubusercontent.com' + href,\n });\n }\n });\n\n if (rawLinks.length === 0) {\n return { status: 'error', route: 'gist', url, reason: 'no_raw_files_found' };\n }\n\n // 优先 markdown，其次第一个\n const mdLink = rawLinks.find((l) => /\\.(md|markdown)$/i.test(l.name)) || rawLinks[0];\n\n let content: string;\n try {\n const res = await fetch(mdLink.rawUrl, { headers, redirect: 'follow' });\n if (!res.ok) throw new Error(`HTTP ${res.status} on ${mdLink.rawUrl}`);\n content = await res.text();\n } catch (e) {\n const err = e as Error & { cause?: Error };\n const cause = err.cause?.message ? ` (${err.cause.message})` : '';\n return {\n status: 'error',\n route: 'gist',\n url,\n reason: `raw_fetch_failed: ${err.message}${cause} [raw_url=${mdLink.rawUrl}]`,\n };\n }\n\n const slug = slugify(title);\n await mkdir(outRoot, { recursive: true });\n\n const today = todayYMD();\n const hasH1 = /^#\\s+/m.test(content);\n // 21b buildFrontmatter 返回的行数组与原 fetcher.ts:709-718 内嵌 fmLines 块\n // byte-level 等价（21b 已 6 mock case 证明），spread 进 fmLines 后续操作不变\n const fmLines: string[] = [];\n fmLines.push(\n ...buildFrontmatter({\n routeKind: 'gist',\n title,\n today,\n url,\n author,\n publishDate,\n }),\n );\n fmLines.push('');\n if (!hasH1) fmLines.push(`# ${title}`, '');\n fmLines.push(content.trim(), '');\n\n const articlePath = join(outRoot, `${slug}.md`);\n await writeFile(articlePath, fmLines.join('\\n'), 'utf-8');\n\n return {\n status: 'ok',\n route: 'gist',\n url,\n title,\n author,\n publishDate,\n sourceKind: 'gist',\n sourceLayer: 'L1',\n slug,\n markdown: articlePath,\n imagesOk: 0,\n imagesFailed: 0,\n };\n}\n","/**\n * fetcher/routes/github.ts — GitHub repo / blob 抓取（README.md 或具体文件）\n *\n * 批次 21f strangler fig 第六步：从 src/lib/fetcher.ts copy 出 parseGithubRepoUrl\n * + fetchGithubDoc。原 fetcher.ts 同名函数仍保留，commands/*.ts 暂未切换；\n * 本文件目前未被任何调用方 import，仅作旁路。21g 才切换 dispatcher 并删旧。\n *\n * 集成 21b 的 buildFrontmatter，routeKind='github'：\n * - 21b 已验证 github routeKind 强制忽略 publishDate（即使传入也不输出）\n * - 原 fetchGithubDoc 本来就不抽 publishDate，调用时不传该字段，行为等价\n */\nimport { mkdir, writeFile } from 'node:fs/promises';\nimport { join } from 'node:path';\n\nimport { buildFrontmatter } from '../frontmatter.js';\nimport { slugify, todayYMD } from '../helpers.js';\nimport { buildHeaders } from '../http.js';\nimport type { FetchResult } from '../types.js';\n\n// FetchResult 21g-pre 上提到 fetcher/types.ts，本文件 21f 内的 inline 定义已删除。\n// 字段、可选性、注释完全一致，纯类型替换。\n\ninterface GithubRepoRef {\n owner: string;\n repo: string;\n ref: string; // HEAD / branch / commit\n subpath?: string; // 具体文件路径，如 \"docs/foo.md\"\n}\n\n// ---------------------------------------------------------------------------\n// parseGithubRepoUrl\n// ---------------------------------------------------------------------------\n\n/**\n * 校验并解析 github URL。仅接受 `github.com` / `www.github.com`，\n * 路径需含 `/<owner>/<repo>` 至少两段。支持 `/blob/<ref>/<subpath>` 与 `/tree/<ref>`。\n * 其余返回 null。\n */\nexport function parseGithubRepoUrl(url: string): GithubRepoRef | null {\n try {\n const u = new URL(url);\n if (u.hostname !== 'github.com' && u.hostname !== 'www.github.com') return null;\n const parts = u.pathname.split('/').filter(Boolean);\n if (parts.length < 2) return null;\n const [owner, rawRepo, ...rest] = parts;\n const repo = rawRepo.replace(/\\.git$/, '');\n\n if (rest.length === 0) {\n return { owner, repo, ref: 'HEAD' };\n }\n if (rest[0] === 'blob' && rest.length >= 3) {\n return { owner, repo, ref: rest[1], subpath: rest.slice(2).join('/') };\n }\n if (rest[0] === 'tree' && rest.length >= 2) {\n return { owner, repo, ref: rest[1] };\n }\n return { owner, repo, ref: 'HEAD' };\n } catch {\n return null;\n }\n}\n\n// ---------------------------------------------------------------------------\n// fetchGithubDoc 主流程\n// ---------------------------------------------------------------------------\n\n/**\n * github 抓取流程：\n * 1. 校验 URL\n * 2. 子路径模式：直接拼 raw URL；仓库根模式：循环试 5 个常见 README 文件名\n * 3. 第一个 HTTP 200 + 正文 > 20 字符 的胜出\n * 4. 拼 frontmatter（用 21b buildFrontmatter）+ 可选 H1 + `> Fetched from:` 注解 + 正文\n * 5. 写到 outRoot/<slug>.md\n *\n * 失败路径返回 `{status:'error', reason:...}`，由调用方决定是否兜底。\n */\nexport async function fetchGithubDoc(url: string, outRoot: string): Promise<FetchResult> {\n const parsed = parseGithubRepoUrl(url);\n if (!parsed) {\n return { status: 'error', route: 'github', url, reason: 'invalid_github_url' };\n }\n\n const { owner, repo, ref, subpath } = parsed;\n const headers = buildHeaders('generic');\n\n // 确定候选 raw URL 列表\n const candidates: string[] = [];\n if (subpath) {\n candidates.push(`https://raw.githubusercontent.com/${owner}/${repo}/${ref}/${subpath}`);\n } else {\n // 仓库根：尝试常见 README 文件名\n for (const name of ['README.md', 'README.MD', 'Readme.md', 'readme.md', 'README']) {\n candidates.push(`https://raw.githubusercontent.com/${owner}/${repo}/HEAD/${name}`);\n }\n }\n\n let content = '';\n let chosenUrl = '';\n for (const candUrl of candidates) {\n try {\n const res = await fetch(candUrl, { headers });\n if (!res.ok) continue;\n const text = await res.text();\n if (text && text.trim().length > 20) {\n content = text;\n chosenUrl = candUrl;\n break;\n }\n } catch {\n // try next\n }\n }\n\n if (!content) {\n return { status: 'error', route: 'github', url, reason: 'no_readable_content_found' };\n }\n\n const fileName = subpath ? subpath.split('/').pop()! : 'README.md';\n const title = subpath ? fileName.replace(/\\.(md|markdown)$/i, '') : `${owner}/${repo}`;\n\n const slug = slugify(subpath ? `${owner}-${repo}-${fileName}` : `${owner}-${repo}`);\n await mkdir(outRoot, { recursive: true });\n\n const today = todayYMD();\n const hasH1 = /^#\\s+/m.test(content);\n // 21b buildFrontmatter routeKind='github' 强制忽略 publishDate（21b parity case 6 已验证），\n // 不传该字段即可。返回行数组与原 fetcher.ts:826-834 内嵌 fmLines 块 byte-level 等价。\n const fmLines: string[] = [];\n fmLines.push(\n ...buildFrontmatter({\n routeKind: 'github',\n title,\n today,\n url,\n author: owner,\n }),\n );\n fmLines.push('');\n if (!hasH1) fmLines.push(`# ${title}`, '');\n fmLines.push(`> Fetched from: ${chosenUrl}`, '');\n fmLines.push(content.trim(), '');\n\n const articlePath = join(outRoot, `${slug}.md`);\n await writeFile(articlePath, fmLines.join('\\n'), 'utf-8');\n\n return {\n status: 'ok',\n route: 'github',\n url,\n title,\n author: owner,\n sourceKind: 'github',\n sourceLayer: 'L1',\n slug,\n markdown: articlePath,\n imagesOk: 0,\n imagesFailed: 0,\n };\n}\n","/**\n * ingest-state.ts — Persistent ingest pipeline state.\n *\n * Lives at `<corpus>/.wiki/ingest-state.json`. The authoritative record of\n * \"what URL was ingested, at what step, and did we finish it.\" Used by:\n * - `lorekit fetch` : dedupe + resume detection\n * - `lorekit ingest *` : step tracking from the skill/agent\n * - `lorekit ingest-check` : surface in-flight / failed ingests\n */\nimport { existsSync, mkdirSync, readFileSync, writeFileSync } from 'node:fs';\nimport { join, dirname } from 'node:path';\n\n/**\n * Three coarse states the user actually cares about:\n * started — URL has entered the pipeline, not finished yet.\n * (which sub-step it's at is recorded in `stepsDone` below.)\n * completed — archived + wiki + lint all done.\n * failed — explicit abort with a reason.\n *\n * Finer sub-steps live in `stepsDone[]` so resuming an interrupted ingest\n * can skip already-done work, but the top-level symbol stays one of three.\n */\nexport type IngestStatus = 'started' | 'completed' | 'failed';\n\nexport type IngestStep = 'fetch' | 'archive' | 'wiki' | 'backlink' | 'lint';\n\nexport interface IngestRecord {\n url: string;\n title?: string;\n sourceDate?: string; // YYYY-MM-DD\n startedAt: string; // ISO timestamp\n updatedAt: string; // ISO timestamp\n status: IngestStatus;\n stepsDone: IngestStep[];\n workbenchMd?: string; // absolute path to <slug>.md while status=fetched\n // 老字段，兼容 0.3.x 之前的 state.json（产物是 <slug>/article.md 嵌套结构）\n workbenchDir?: string;\n archivedTo?: string; // relative-to-corpus path (e.g. 原料/剪藏/xxx)\n wikiPages?: string[]; // relative-to-corpus paths\n error?: string;\n}\n\nexport interface IngestStateFile {\n version: 1;\n ingests: Record<string, IngestRecord>;\n}\n\nfunction stateFilePath(corpus: string): string {\n return join(corpus, '.wiki', 'ingest-state.json');\n}\n\nexport function loadIngestState(corpus: string): IngestStateFile {\n const p = stateFilePath(corpus);\n if (!existsSync(p)) {\n return { version: 1, ingests: {} };\n }\n try {\n const raw = readFileSync(p, 'utf-8');\n const parsed = JSON.parse(raw);\n if (!parsed || typeof parsed !== 'object') {\n return { version: 1, ingests: {} };\n }\n if (!parsed.ingests || typeof parsed.ingests !== 'object') {\n parsed.ingests = {};\n }\n parsed.version = 1;\n return parsed as IngestStateFile;\n } catch {\n return { version: 1, ingests: {} };\n }\n}\n\nexport function saveIngestState(corpus: string, state: IngestStateFile): void {\n const p = stateFilePath(corpus);\n mkdirSync(dirname(p), { recursive: true });\n const serialized = JSON.stringify(state, null, 2);\n writeFileSync(p, serialized + '\\n', 'utf-8');\n}\n\nexport function getIngestRecord(corpus: string, url: string): IngestRecord | undefined {\n return loadIngestState(corpus).ingests[url];\n}\n\nexport function upsertIngestRecord(\n corpus: string,\n url: string,\n patch: Partial<IngestRecord>,\n): IngestRecord {\n const state = loadIngestState(corpus);\n const now = new Date().toISOString();\n const existing = state.ingests[url];\n const merged: IngestRecord = existing\n ? { ...existing, ...patch, url, updatedAt: now }\n : {\n url,\n startedAt: now,\n updatedAt: now,\n status: (patch.status as IngestStatus) ?? 'started',\n stepsDone: patch.stepsDone ?? [],\n ...patch,\n };\n // Dedup stepsDone\n if (merged.stepsDone) {\n merged.stepsDone = Array.from(new Set(merged.stepsDone));\n }\n state.ingests[url] = merged;\n saveIngestState(corpus, state);\n return merged;\n}\n\nexport function deleteIngestRecord(corpus: string, url: string): boolean {\n const state = loadIngestState(corpus);\n if (!(url in state.ingests)) return false;\n delete state.ingests[url];\n saveIngestState(corpus, state);\n return true;\n}\n\nexport function listPendingIngests(corpus: string): IngestRecord[] {\n const state = loadIngestState(corpus);\n return Object.values(state.ingests).filter((r) => r.status !== 'completed');\n}\n\n/**\n * Suggest the next step for a resumed ingest.\n * Derived from stepsDone so the caller doesn't have to know the step order.\n */\nexport function nextStepHint(record: IngestRecord): string {\n if (record.status === 'completed') return 'nothing to do';\n if (record.status === 'failed') {\n return `failed: ${record.error ?? 'unknown error'} — inspect and re-run with --force if you want to retry`;\n }\n const done = new Set(record.stepsDone);\n if (!done.has('fetch')) {\n return 'fetch: nothing recorded yet — run `lorekit fetch <url>`';\n }\n if (!done.has('archive')) {\n return 'archive: mv the workbench dir into 原料/（剪藏|文章|书籍|...）';\n }\n if (!done.has('wiki')) {\n return 'wiki: compile wiki pages in 知识库/（概念|实体|摘要|专题）';\n }\n if (!done.has('lint')) {\n return 'lint: run `lorekit ingest-check`, fix any issues, then `lorekit ingest record <url> --complete`';\n }\n return 'all steps done but status not yet completed — run `lorekit ingest record <url> --complete`';\n}\n","/**\n * `lorekit ingest` — subcommands for marking ingest pipeline progress.\n *\n * The agent running wiki-ingest calls these as it advances through the\n * Decision tree; each call mutates .wiki/ingest-state.json. This makes\n * interrupted ingests resumable and provides the source of truth for\n * `lorekit ingest-check`.\n */\nimport type { Command } from 'commander';\nimport { existsSync, readdirSync, readFileSync, writeFileSync } from 'node:fs';\nimport { join, relative } from 'node:path';\nimport { requireCorpus, collectMdFiles, extractFrontmatter } from '../lib/corpus.js';\nimport {\n loadIngestState,\n saveIngestState,\n upsertIngestRecord,\n deleteIngestRecord,\n listPendingIngests,\n nextStepHint,\n type IngestRecord,\n type IngestStep,\n type IngestStatus,\n} from '../lib/ingest-state.js';\nimport { dateToYMDLocal } from '../lib/date.js';\nimport { out, print } from '../utils/logger.js';\n\nconst VALID_STEPS: IngestStep[] = ['fetch', 'archive', 'wiki', 'backlink', 'lint'];\n\n// Today as YYYY-MM-DD in local time (Asia/Shanghai assumed by user setup).\nfunction today(): string {\n return dateToYMDLocal(new Date());\n}\n\n/**\n * Append a structured ingest entry to corpus/log.md.\n *\n * The log.md format (see existing entries) uses `## [YYYY-MM-DD] ingest | 标题`\n * as a section header followed by structured bullet lines. We prepend the new\n * entry just below the file's intro block (after the first `>` blockquote line)\n * so the most recent ingest sits on top — matching the convention of existing\n * entries.\n *\n * `body` is the LLM-supplied one-paragraph summary describing what was done.\n * The CLI auto-fills url / archive / wiki pages from the state record so the\n * skill doesn't have to repeat them.\n */\nfunction appendLogEntry(corpus: string, record: IngestRecord, body: string): void {\n const logPath = join(corpus, 'log.md');\n const title = record.title ?? '(untitled)';\n const wikiList = (record.wikiPages ?? []).map((p) => ` - ${p}`).join('\\n');\n const archived = record.archivedTo ?? '(unrecorded)';\n\n const entry = [\n `## [${today()}] ingest | ${title}`,\n '',\n body.trim(),\n '',\n `- **URL**：${record.url}`,\n `- **归档**：${archived}`,\n record.wikiPages && record.wikiPages.length > 0\n ? `- **新建/更新页**：\\n${wikiList}`\n : '- **新建/更新页**：（无）',\n '',\n '',\n ].join('\\n');\n\n let existing = '';\n if (existsSync(logPath)) existing = readFileSync(logPath, 'utf-8');\n\n if (!existing) {\n // Bootstrap a minimal log.md with header + first entry.\n const header =\n '# Log\\n\\n> 操作时间线，append-only。每条格式：`## [YYYY-MM-DD] 操作类型 | 标题`\\n> 可用 `grep \"^## \\\\[\" log.md | tail -10` 快速查最近操作。\\n\\n';\n writeFileSync(logPath, header + entry, 'utf-8');\n return;\n }\n\n // Insert new entry between intro block and first existing `## [` section.\n const firstSection = existing.search(/^## \\[/m);\n if (firstSection === -1) {\n // No existing sections — append at end.\n const sep = existing.endsWith('\\n') ? '' : '\\n';\n writeFileSync(logPath, existing + sep + entry, 'utf-8');\n } else {\n const before = existing.slice(0, firstSection);\n const after = existing.slice(firstSection);\n writeFileSync(logPath, before + entry + after, 'utf-8');\n }\n}\n\nexport function ingestCommand(program: Command): void {\n const group = program\n .command('ingest')\n .description('Track ingest pipeline state (record step progress, list pending, reconcile)');\n\n // ---------- list ----------\n group\n .command('list')\n .description('List every ingest record (completed + in-progress)')\n .action(() => {\n const corpus = requireCorpus();\n const state = loadIngestState(corpus);\n const rows = Object.values(state.ingests);\n if (rows.length === 0) {\n print('[lorekit ingest list] no records');\n out(JSON.stringify({ ingests: [] }));\n return;\n }\n const summary = rows.map((r) => {\n const done = r.stepsDone.join(',') || '(none)';\n const dest = r.archivedTo ?? r.workbenchMd ?? r.workbenchDir ?? '-';\n return ` [${r.status.padEnd(12)}] ${r.url}\\n steps: ${done} → ${dest}`;\n });\n print(`[lorekit ingest list] ${rows.length} record(s)\\n${summary.join('\\n')}`);\n out(JSON.stringify(state));\n });\n\n // ---------- pending ----------\n group\n .command('pending')\n .description('List only in-progress (non-completed) ingests — what you need to resume')\n .action(() => {\n const corpus = requireCorpus();\n const pending = listPendingIngests(corpus);\n if (pending.length === 0) {\n print('[lorekit ingest pending] all ingests are completed — nothing to resume');\n out(JSON.stringify({ pending: [] }));\n return;\n }\n const summary = pending.map((r) => {\n return ` [${r.status.padEnd(12)}] ${r.url}\\n next step → ${nextStepHint(r)}`;\n });\n print(\n `[lorekit ingest pending] ${pending.length} ingest(s) need attention\\n${summary.join('\\n')}`,\n );\n out(JSON.stringify({ pending }));\n process.exitCode = 1;\n });\n\n // ---------- record ----------\n group\n .command('record <url>')\n .description('Record step progress for an ingest (call from wiki-ingest skill)')\n .option(\n '--step <steps>',\n `mark step(s) as done. single: archive | multi: archive,wiki,backlink,lint. valid: ${VALID_STEPS.join(', ')}`,\n )\n .option('--archived-to <path>', 'relative path where the source was moved (e.g. 原料/剪藏/xxx)')\n .option('--wiki-page <path...>', 'relative path of a wiki page created (can be repeated)')\n .option(\n '--log <body>',\n 'append a one-paragraph summary to corpus/log.md (CLI auto-fills url/archive/pages)',\n )\n .option('--status <status>', 'explicit status (started|completed|failed)')\n .option('--complete', 'shortcut: mark status=completed')\n .option('--fail <reason>', 'shortcut: mark status=failed with reason')\n .action(\n (\n url: string,\n opts: {\n step?: string;\n archivedTo?: string;\n wikiPage?: string[];\n log?: string;\n status?: string;\n complete?: boolean;\n fail?: string;\n },\n ) => {\n const corpus = requireCorpus();\n const patch: Parameters<typeof upsertIngestRecord>[2] = {};\n\n // --step accepts either a single step (\"archive\") or a comma-separated\n // chain (\"archive,wiki,backlink,lint\") so the skill can close the books\n // in one call instead of four CLI invocations.\n let parsedSteps: IngestStep[] = [];\n if (opts.step) {\n parsedSteps = opts.step\n .split(',')\n .map((s) => s.trim())\n .filter(Boolean) as IngestStep[];\n\n for (const s of parsedSteps) {\n if (!VALID_STEPS.includes(s)) {\n print(\n `[lorekit ingest record] invalid step: ${s}. valid: ${VALID_STEPS.join(', ')}`,\n );\n process.exitCode = 2;\n return;\n }\n }\n\n const existing = loadIngestState(corpus).ingests[url];\n const prev = existing?.stepsDone ?? [];\n // 去重：保留首次出现顺序。多次 record 链式调用追加同一 step 时不应重复，\n // 否则 ingest-state.json 的 stepsDone 会出现 `[archive, archive, wiki, wiki, backlink]`\n // 这种噪声，nextStepHint / pending 推断也会受影响。\n // 见批次 20b / P4-1 同模式（与 wikiPages 同步修）。\n patch.stepsDone = [...new Set([...prev, ...parsedSteps])];\n\n // status precedence: explicit flags win; otherwise, if the chain\n // includes 'lint' it implies completion.\n if (!opts.status && !opts.complete && !opts.fail) {\n if (parsedSteps.includes('lint')) patch.status = 'completed';\n else patch.status = 'started';\n }\n }\n if (opts.archivedTo) patch.archivedTo = opts.archivedTo;\n if (opts.wikiPage && opts.wikiPage.length > 0) {\n const existing = loadIngestState(corpus).ingests[url];\n const prev = existing?.wikiPages ?? [];\n // 去重：保留首次出现顺序。多次 record 调用追加同一 wiki 页面时不应重复，\n // 否则 log.md 的 `- **新建/更新页**` 块会出现重复条目。\n // 见 LEGACY P4-1 / 批次 20 的复现 smoke。\n patch.wikiPages = [...new Set([...prev, ...opts.wikiPage])];\n }\n if (opts.status) {\n const validStatuses: readonly IngestStatus[] = ['started', 'completed', 'failed'];\n if (!validStatuses.includes(opts.status as IngestStatus)) {\n print(\n `[lorekit ingest record] invalid --status: ${opts.status}. valid: ${validStatuses.join(', ')}`,\n );\n process.exitCode = 2;\n return;\n }\n patch.status = opts.status as IngestStatus;\n }\n if (opts.complete) patch.status = 'completed';\n if (opts.fail) {\n patch.status = 'failed';\n patch.error = opts.fail;\n }\n\n const updated = upsertIngestRecord(corpus, url, patch);\n\n // --log: append entry to corpus/log.md AFTER state is updated so the\n // entry can include the freshly-recorded archive path / wiki pages.\n let logAppended = false;\n if (opts.log) {\n try {\n appendLogEntry(corpus, updated, opts.log);\n logAppended = true;\n } catch (e) {\n print(`[lorekit ingest record] log append failed: ${(e as Error).message}`);\n }\n }\n\n print(\n `[lorekit ingest record] ${url}\\n` +\n ` status: ${updated.status} steps: ${updated.stepsDone.join(',') || '(none)'}` +\n (logAppended ? ' +log' : ''),\n );\n out(JSON.stringify({ ...updated, logAppended }));\n },\n );\n\n // ---------- check ----------\n // Pre-flight broken-link check for one or more wiki pages. Used by the\n // wiki-ingest skill RIGHT AFTER writing new pages, before recording the\n // backlink step. Catches `[[xxx]]` whose target page doesn't exist so the\n // skill can either create the target stub or downgrade `[[xxx]]` to plain\n // text — instead of leaving the corpus in a state lint will flag later.\n group\n .command('check <files...>')\n .description('Scan given wiki pages for broken [[wikilinks]] (pre-commit check)')\n .action((files: string[]) => {\n const corpus = requireCorpus();\n\n // Build the same lookup sets lint.ts uses (stems + bare names + folder\n // packages like 原料/剪藏/xxx/article.md → 原料/剪藏/xxx).\n const allMd = collectMdFiles(corpus);\n const stemSet = new Set<string>();\n const baseNameSet = new Set<string>();\n for (const file of allMd) {\n const rel = relative(corpus, file);\n const stem = rel.replace(/\\.md$/, '');\n stemSet.add(stem);\n baseNameSet.add(stem.split('/').pop()!);\n if (stem.endsWith('/article')) {\n const folder = stem.replace(/\\/article$/, '');\n stemSet.add(folder);\n baseNameSet.add(folder.split('/').pop()!);\n }\n }\n\n const stripCode = (s: string) => s.replace(/```[\\s\\S]*?```/g, '').replace(/`[^`\\n]+`/g, '');\n\n const broken: { file: string; link: string }[] = [];\n const okLinks: { file: string; link: string }[] = [];\n const checked: string[] = [];\n\n for (const f of files) {\n const abs = f.startsWith('/') ? f : join(process.cwd(), f);\n if (!existsSync(abs)) {\n print(`[lorekit ingest check] file not found: ${f}`);\n process.exitCode = 2;\n continue;\n }\n const rel = relative(corpus, abs);\n checked.push(rel);\n\n let content: string;\n try {\n content = stripCode(readFileSync(abs, 'utf-8'));\n } catch {\n continue;\n }\n\n const linkRe = /\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/g;\n let m: RegExpExecArray | null;\n const seen = new Set<string>();\n while ((m = linkRe.exec(content)) !== null) {\n const target = m[1].trim();\n if (seen.has(target)) continue;\n seen.add(target);\n if (stemSet.has(target) || baseNameSet.has(target)) {\n okLinks.push({ file: rel, link: target });\n } else {\n broken.push({ file: rel, link: target });\n }\n }\n }\n\n const result = { checked, ok: okLinks, broken };\n\n if (broken.length === 0) {\n print(\n `[lorekit ingest check] ${checked.length} file(s), ${okLinks.length} link(s) ok, no broken links`,\n );\n } else {\n print(`[lorekit ingest check] ${broken.length} broken link(s) found:`);\n for (const b of broken) {\n print(` ✗ ${b.file}: [[${b.link}]]`);\n }\n process.exitCode = 1;\n }\n out(JSON.stringify(result));\n });\n\n // ---------- forget ----------\n group\n .command('forget <url>')\n .description('Remove a record from the state (e.g. after manual cleanup)')\n .action((url: string) => {\n const corpus = requireCorpus();\n const removed = deleteIngestRecord(corpus, url);\n print(\n removed\n ? `[lorekit ingest forget] removed ${url}`\n : `[lorekit ingest forget] no record for ${url}`,\n );\n out(JSON.stringify({ removed, url }));\n });\n\n // ---------- reconcile ----------\n group\n .command('reconcile')\n .description('Back-fill state for pre-existing 原料/ pages missing a state record')\n .option('--dry-run', 'list what would be added without writing')\n .action((opts: { dryRun?: boolean }) => {\n const corpus = requireCorpus();\n const sourcesRoot = join(corpus, '原料');\n if (!existsSync(sourcesRoot)) {\n print('[lorekit ingest reconcile] no 原料/ directory');\n return;\n }\n const state = loadIngestState(corpus);\n const added: string[] = [];\n for (const mdPath of collectMdFiles(sourcesRoot)) {\n const fm = extractFrontmatter(mdPath);\n const url =\n (typeof fm.source_url === 'string' && fm.source_url) ||\n (typeof fm.url === 'string' && fm.url) ||\n '';\n if (!url) continue;\n if (state.ingests[url]) continue;\n\n const rel = relative(corpus, mdPath);\n const archivedTo = rel.replace(/\\/article\\.md$/, '');\n const sdRaw = fm.source_date;\n const sourceDate =\n typeof sdRaw === 'string'\n ? sdRaw\n : sdRaw instanceof Date\n ? sdRaw.toISOString().slice(0, 10)\n : undefined;\n const now = new Date().toISOString();\n state.ingests[url] = {\n url,\n title: typeof fm.title === 'string' ? fm.title : undefined,\n sourceDate,\n startedAt: now,\n updatedAt: now,\n status: 'completed',\n stepsDone: ['fetch', 'archive', 'wiki', 'lint'],\n archivedTo,\n };\n added.push(url);\n }\n if (!opts.dryRun && added.length > 0) saveIngestState(corpus, state);\n print(\n `[lorekit ingest reconcile] ${opts.dryRun ? 'would add' : 'added'} ${added.length} record(s)`,\n );\n for (const u of added) print(` + ${u}`);\n out(JSON.stringify({ dryRun: !!opts.dryRun, added }));\n });\n}\n","import type { Command } from 'commander';\nimport chalk from 'chalk';\nimport { mkdirSync, writeFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { requireCorpus } from '../lib/corpus.js';\nimport { ok, warn, err, print, out } from '../utils/logger.js';\nimport { runIndex } from './dir-index.js';\nimport { runVectorSync } from './vector.js';\nimport { runDoctor } from './doctor.js';\nimport { refreshRootIndex } from '../lib/root-index.js';\n\nexport interface SyncOptions {\n force?: boolean;\n model?: string;\n skipDoctor?: boolean;\n skipVector?: boolean;\n skipRootIndex?: boolean;\n json?: boolean;\n report?: boolean;\n}\n\ntype SyncStepStatus = 'ok' | 'skipped' | 'error';\n\ninterface SyncStepReport {\n status: SyncStepStatus;\n detail?: string;\n [key: string]: unknown;\n}\n\nexport interface SyncRunReport {\n status: 'ok' | 'error';\n startedAt: string;\n finishedAt: string;\n corpus: string;\n steps: {\n index: SyncStepReport;\n rootIndex: SyncStepReport;\n vector: SyncStepReport;\n doctor: SyncStepReport;\n };\n reportPath: string | null;\n errors: string[];\n}\n\nfunction createReport(corpus: string): SyncRunReport {\n return {\n status: 'ok',\n startedAt: new Date().toISOString(),\n finishedAt: '',\n corpus,\n steps: {\n index: { status: 'skipped' },\n rootIndex: { status: 'skipped' },\n vector: { status: 'skipped' },\n doctor: { status: 'skipped' },\n },\n reportPath: null,\n errors: [],\n };\n}\n\nfunction writeSyncReport(corpus: string, report: SyncRunReport): string {\n const dir = join(corpus, '.wiki', 'reports', 'sync');\n mkdirSync(dir, { recursive: true });\n const stamp = report.startedAt.replace(/[:.]/g, '-');\n const path = join(dir, `${stamp}.json`);\n report.reportPath = path;\n writeFileSync(path, JSON.stringify(report, null, 2) + '\\n', 'utf-8');\n return path;\n}\n\n/**\n * lorekit sync — 一条命令把「文本档案 + 向量库」对齐。\n *\n * 执行顺序（必须是这个顺序）：\n * 1a. runIndex：扫目录生成/刷新所有 _INDEX.md\n * → 向量 L1 的输入源必须先存在，才能被下一步读\n * 1b. refreshRootIndex：合并刷新 corpus/index.md 的四个受控区\n * → L0 向量的输入源；保留人类手写摘要，只追加新页 / 删失踪页\n * 2. runVectorSync（layered=true）：增量嵌入 chunk + 刷 L0/L1 向量\n * → L0 读 corpus/index.md 的 ## 分区\n * → L1 读每个 {dir}/_INDEX.md 的条目行\n * 3. runDoctor：sanity check，只报告不阻塞\n */\nexport async function runSync(corpus: string, opts: SyncOptions = {}): Promise<SyncRunReport> {\n const force = opts.force ?? false;\n const model = opts.model ?? 'bge-m3';\n const report = createReport(corpus);\n\n // Step 1a: 各子目录的 _INDEX.md\n print(chalk.cyan('── [1/3] index: refresh _INDEX.md ──'));\n try {\n const generated = runIndex(corpus);\n report.steps.index = { status: 'ok', generated };\n if (generated === 0) {\n warn('no indexable directories found');\n } else {\n ok(`refreshed ${generated} _INDEX.md file(s)`);\n }\n } catch (e) {\n report.status = 'error';\n report.steps.index = { status: 'error', error: (e as Error).message };\n report.errors.push(`index failed: ${(e as Error).message}`);\n err(`index failed: ${(e as Error).message}`);\n throw e;\n }\n\n // Step 1b: corpus 根的 index.md（受控区合并刷新）\n if (!opts.skipRootIndex) {\n try {\n const r = refreshRootIndex(corpus);\n const totals = r.perSection.reduce(\n (acc, s) => ({\n added: acc.added + s.added.length,\n removed: acc.removed + s.removed.length,\n kept: acc.kept + s.kept,\n }),\n { added: 0, removed: 0, kept: 0 },\n );\n report.steps.rootIndex = {\n status: 'ok',\n changed: r.changed,\n added: totals.added,\n removed: totals.removed,\n kept: totals.kept,\n };\n if (!r.changed) {\n ok(`index.md unchanged (${totals.kept} entries across managed sections)`);\n } else {\n ok(\n `index.md merged: +${totals.added} added, -${totals.removed} removed, ${totals.kept} kept`,\n );\n for (const s of r.perSection) {\n if (s.added.length === 0 && s.removed.length === 0) continue;\n for (const slug of s.added) print(` + ${slug}`);\n for (const slug of s.removed) print(` - ${slug} (file gone)`);\n }\n }\n } catch (e) {\n report.status = 'error';\n report.steps.rootIndex = { status: 'error', error: (e as Error).message };\n report.errors.push(`root index sync failed: ${(e as Error).message}`);\n err(`root index sync failed: ${(e as Error).message}`);\n throw e;\n }\n } else {\n report.steps.rootIndex = { status: 'skipped', reason: 'skip-root-index' };\n }\n print();\n\n // Step 2: 向量库（除非显式 --skip-vector）\n if (!opts.skipVector) {\n print(chalk.cyan('── [2/3] vector: sync chunks + L0/L1 ──'));\n try {\n const r = await runVectorSync(corpus, { force, model, layered: true });\n report.steps.vector = { status: 'ok', ...r, model };\n ok(`synced ${r.synced} files (${r.totalChunks} chunks), skipped ${r.skipped} unchanged`);\n } catch (e) {\n report.status = 'error';\n report.steps.vector = { status: 'error', error: (e as Error).message, model };\n report.errors.push(`vector sync failed: ${(e as Error).message}`);\n err(`vector sync failed: ${(e as Error).message}`);\n throw e;\n }\n print();\n } else {\n report.steps.vector = { status: 'skipped', reason: 'skip-vector' };\n }\n\n // Step 3: 健康体检（只报告不阻塞）\n if (!opts.skipDoctor) {\n print(chalk.cyan('── [3/3] doctor: sanity check ──'));\n const issues = await runDoctor(corpus);\n report.steps.doctor = { status: 'ok', issues };\n } else {\n report.steps.doctor = { status: 'skipped', reason: 'skip-doctor' };\n }\n\n report.finishedAt = new Date().toISOString();\n return report;\n}\n\nexport function syncCommand(program: Command): void {\n program\n .command('sync')\n .description('one-shot: refresh _INDEX.md → vector sync (layered) → doctor')\n .option('--force', 'full rebuild of vector index', false)\n .option('--model <name>', 'ollama model name', 'bge-m3')\n .option('--skip-doctor', 'skip the final doctor sanity check', false)\n .option('--skip-vector', 'only refresh _INDEX.md, skip vector sync', false)\n .option('--skip-root-index', 'skip merging corpus/index.md against disk', false)\n .option('--json', 'output machine-readable sync report', false)\n .option('--report', 'write .wiki/reports/sync/<timestamp>.json', false)\n .action(async (opts: SyncOptions) => {\n const corpus = requireCorpus();\n try {\n const report = await runSync(corpus, opts);\n if (opts.report) writeSyncReport(corpus, report);\n if (opts.json) out(JSON.stringify(report, null, 2));\n } catch {\n process.exit(1);\n }\n });\n}\n","/**\n * root-index.ts — sync `corpus/index.md` against the actual filesystem.\n *\n * Unlike `_INDEX.md` (auto-overwritten by `lorekit index`), the root index.md\n * carries human-curated one-line summaries that we deliberately preserve.\n * The sync logic is therefore a *merge*, not an overwrite:\n *\n * - File on disk + already in index → keep the human-written line as-is\n * - File on disk + missing from index → append a new line, summary auto-\n * extracted from `## Compiled Truth` first sentence\n * - In index + file deleted on disk → drop the line\n *\n * Only the four wiki sections are managed: 概念 / 实体 / 摘要 / 专题.\n * Any other heading (e.g. \"写作\", \"待研究问题\", \"空缺\") stays untouched.\n */\nimport { existsSync, readFileSync, readdirSync, writeFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { debug } from '../utils/logger.js';\n\nconst MANAGED_SECTIONS: { heading: string; subdir: string }[] = [\n { heading: '## 概念', subdir: '知识库/概念' },\n { heading: '## 实体', subdir: '知识库/实体' },\n { heading: '## 摘要', subdir: '知识库/摘要' },\n { heading: '## 专题', subdir: '知识库/专题' },\n];\n\ninterface DiskEntry {\n slug: string;\n summary: string;\n}\n\nfunction listEntriesInDir(corpus: string, subdir: string): DiskEntry[] {\n const dirPath = join(corpus, subdir);\n if (!existsSync(dirPath)) return [];\n const out: DiskEntry[] = [];\n for (const name of readdirSync(dirPath)) {\n if (name.startsWith('.')) continue;\n if (name === '_INDEX.md') continue;\n if (!name.endsWith('.md')) continue;\n const file = join(dirPath, name);\n const slug = `${subdir}/${name.replace(/\\.md$/, '')}`;\n out.push({ slug, summary: extractCompiledTruthSnippet(file) });\n }\n return out.sort((a, b) => a.slug.localeCompare(b.slug));\n}\n\n/**\n * Extract a short summary from `## Compiled Truth` — first non-blank paragraph,\n * capped at the first sentence terminator or 80 chars. Falls back to \"—\".\n *\n * Strips a leading `**bold**` lead-in (common pattern: \"**EntityName** is …\")\n * so the summary reads like a definition rather than a label.\n */\nfunction extractCompiledTruthSnippet(filePath: string): string {\n let content: string;\n try {\n content = readFileSync(filePath, 'utf-8');\n } catch (e) {\n // refreshRootIndex 会扫整个 知识库 子目录，单个文件读失败不阻塞批量；走 debug\n debug(`extractCompiledTruthSnippet(${filePath}) failed: ${(e as Error).message}`);\n return '—';\n }\n\n // Skip frontmatter\n const body = content.replace(/^---\\n[\\s\\S]*?\\n---\\n/, '');\n\n // Find ## Compiled Truth section\n const sectionMatch = body.match(/##\\s*Compiled Truth\\s*\\n+([\\s\\S]*?)(?=\\n---|\\n##\\s|$)/);\n if (!sectionMatch) return '—';\n\n // First non-blank line/paragraph\n const para = sectionMatch[1]\n .split('\\n')\n .map((l) => l.trim())\n .find((l) => l.length > 0);\n if (!para) return '—';\n\n // Strip leading **bold** label\n const cleaned = para.replace(/^\\*\\*([^*]+)\\*\\*\\s*/, '$1 ');\n\n // First sentence (Chinese 。 or English .) within 80 chars\n const sentenceMatch = cleaned.match(/^(.{1,80}?[。.！？!?])/);\n if (sentenceMatch) return sentenceMatch[1];\n\n return cleaned.slice(0, 80) + (cleaned.length > 80 ? '…' : '');\n}\n\ninterface MergeResult {\n added: string[];\n removed: string[];\n kept: number;\n}\n\n/**\n * Merge one section in-place. Returns the new content + bookkeeping.\n */\nfunction mergeSection(\n content: string,\n heading: string,\n onDisk: DiskEntry[],\n): { newContent: string; result: MergeResult } {\n const lines = content.split('\\n');\n const startIdx = lines.findIndex((l) => l.trim() === heading);\n if (startIdx === -1) {\n // Section header missing — leave content untouched\n return { newContent: content, result: { added: [], removed: [], kept: 0 } };\n }\n\n // Find end of section: next \"## \" heading or EOF\n let endIdx = lines.length;\n for (let i = startIdx + 1; i < lines.length; i++) {\n if (lines[i].startsWith('## ')) {\n endIdx = i;\n break;\n }\n }\n\n const sectionBody = lines.slice(startIdx + 1, endIdx);\n const linkRe = /^-\\s+\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/;\n\n const onDiskSlugs = new Set(onDisk.map((e) => e.slug));\n const seenInIndex = new Set<string>();\n const removed: string[] = [];\n const kept: string[] = [];\n\n for (const line of sectionBody) {\n const trimmed = line.trim();\n // Strip blank lines and the placeholder; we re-add canonical padding below.\n if (trimmed === '' || trimmed === '（暂无条目）') continue;\n\n const m = line.match(linkRe);\n if (m) {\n const slug = m[1].trim();\n if (onDiskSlugs.has(slug)) {\n seenInIndex.add(slug);\n kept.push(line);\n } else {\n removed.push(slug);\n }\n } else {\n // preserve any non-link manual annotation (e.g. \"> note about this section\")\n kept.push(line);\n }\n }\n\n // Append entries on disk that aren't in the index yet\n const added: string[] = [];\n for (const e of onDisk) {\n if (!seenInIndex.has(e.slug)) {\n kept.push(`- [[${e.slug}]] — ${e.summary}`);\n added.push(e.slug);\n }\n }\n\n const sectionContentLines = kept.length === 0 ? ['', '（暂无条目）', ''] : ['', ...kept, ''];\n\n const newLines = [\n ...lines.slice(0, startIdx + 1),\n ...sectionContentLines,\n ...lines.slice(endIdx),\n ];\n\n return {\n newContent: newLines.join('\\n'),\n result: { added, removed, kept: seenInIndex.size },\n };\n}\n\nexport interface RootIndexSyncResult {\n filePath: string;\n changed: boolean;\n perSection: { heading: string; added: string[]; removed: string[]; kept: number }[];\n}\n\nexport function refreshRootIndex(corpus: string): RootIndexSyncResult {\n const indexPath = join(corpus, 'index.md');\n if (!existsSync(indexPath)) {\n return { filePath: indexPath, changed: false, perSection: [] };\n }\n\n const before = readFileSync(indexPath, 'utf-8');\n let content = before;\n const perSection: RootIndexSyncResult['perSection'] = [];\n\n for (const sec of MANAGED_SECTIONS) {\n const onDisk = listEntriesInDir(corpus, sec.subdir);\n const { newContent, result } = mergeSection(content, sec.heading, onDisk);\n content = newContent;\n perSection.push({ heading: sec.heading, ...result });\n }\n\n const changed = content !== before;\n if (changed) writeFileSync(indexPath, content, 'utf-8');\n\n return { filePath: indexPath, changed, perSection };\n}\n","/**\n * obsidian-tune.ts — 老用户升级触达 + 维护 .obsidian/graph.json filter（批次 26）\n *\n * 三种模式：\n * - 默认：检查 filter 完整性，diff 输出到 stderr，exit 0/1 便于脚本判断\n * - --write：备份原文件后应用推荐 filter（先 cp .bak.<ts> 再覆盖）\n * - --print：把推荐 filter JSON 打到 stdout，便于 `lorekit obsidian-tune --print > .obsidian/graph.json`\n *\n * 推荐 filter SSOT 在 `templates/default-corpus/.obsidian/graph.json`，\n * 由 `lib/obsidian.ts` 统一读取（避免和模板漂移）。\n */\nimport type { Command } from 'commander';\nimport { cpSync, existsSync, mkdirSync, writeFileSync } from 'node:fs';\nimport { join } from 'node:path';\nimport { ok, info, warn, err, print, out } from '../utils/logger.js';\nimport { findCorpus } from '../lib/corpus.js';\nimport {\n getRecommendedFilter,\n getRecommendedGraphConfig,\n readCorpusFilter,\n isFilterComplete,\n missingTokens,\n} from '../lib/obsidian.js';\nimport { tsCompact } from '../lib/date.js';\n\ninterface TuneOpts {\n write?: boolean;\n print?: boolean;\n}\n\nfunction runPrint(): void {\n // 推荐 graph.json 完整体走 stdout（管道友好）\n const cfg = getRecommendedGraphConfig();\n out(JSON.stringify(cfg, null, 2));\n}\n\nfunction runCheck(corpus: string): number {\n const recommended = getRecommendedFilter();\n const cur = readCorpusFilter(corpus);\n\n if (!cur.exists) {\n warn('.obsidian/graph.json 缺失');\n print('');\n print('推荐 filter（含 _归档 / 反馈 + 完整根元数据）:');\n print(` ${recommended}`);\n print('');\n print('应用：lorekit obsidian-tune --write');\n return 1;\n }\n\n if (isFilterComplete(cur.search, recommended)) {\n ok('.obsidian/graph.json filter 完整');\n return 0;\n }\n\n warn('.obsidian/graph.json filter 不完整');\n print('');\n print('当前 filter（如有）:');\n print(` ${cur.search ?? '(空)'}`);\n print('');\n print('推荐 filter（含 _归档 / 反馈 + 完整根元数据）:');\n print(` ${recommended}`);\n print('');\n print('缺少的 token:');\n for (const t of missingTokens(cur.search, recommended)) {\n print(` - ${t}`);\n }\n print('');\n print('应用：lorekit obsidian-tune --write');\n return 1;\n}\n\nfunction runWrite(corpus: string): number {\n const dest = join(corpus, '.obsidian', 'graph.json');\n const destDir = join(corpus, '.obsidian');\n if (!existsSync(destDir)) mkdirSync(destDir, { recursive: true });\n\n if (existsSync(dest)) {\n // 先备份再写 —— 红线：绝不许覆盖用户文件无备份\n const backup = `${dest}.bak.${tsCompact()}`;\n cpSync(dest, backup);\n ok(`备份 .obsidian/graph.json → ${backup}`);\n }\n\n // 直接落盘推荐配置（完整对象，不只是 search 字段）\n const cfg = getRecommendedGraphConfig();\n writeFileSync(dest, JSON.stringify(cfg, null, 2) + '\\n', 'utf-8');\n ok('写入推荐 filter');\n info('请关掉 Obsidian「关系图谱」标签页再重开生效');\n return 0;\n}\n\nexport function obsidianTuneCommand(program: Command) {\n program\n .command('obsidian-tune')\n .description('check / apply recommended Obsidian graph filter for the corpus')\n .option('--write', 'apply recommended filter (backs up existing graph.json first)')\n .option('--print', 'print recommended graph.json to stdout (pipe-friendly)')\n .action((opts: TuneOpts) => {\n // --print 不依赖 corpus，纯打印模板\n if (opts.print) {\n runPrint();\n process.exitCode = 0;\n return;\n }\n\n const corpus = findCorpus();\n if (!corpus) {\n err('not inside a corpus (no .wiki/ or CLAUDE.md found)');\n process.exitCode = 2;\n return;\n }\n\n if (opts.write) {\n process.exitCode = runWrite(corpus);\n } else {\n process.exitCode = runCheck(corpus);\n }\n });\n}\n","import type { Command } from 'commander';\nimport { existsSync, mkdirSync, readFileSync, renameSync, writeFileSync } from 'node:fs';\nimport { basename, dirname, isAbsolute, join, relative, resolve, sep } from 'node:path';\nimport matter from 'gray-matter';\nimport trash from 'trash';\nimport { collectMdFiles, extractFrontmatter, findSourceByUrl, requireCorpus } from '../lib/corpus.js';\nimport { loadIngestState, saveIngestState } from '../lib/ingest-state.js';\nimport { todayYMDShanghai, tsCompact } from '../lib/date.js';\nimport { createSnapshot } from './snapshot.js';\nimport { runSync } from './sync.js';\nimport { printLintReport, runLint } from './lint.js';\nimport { pruneVectorDbMissingFiles } from '../lib/vectordb/prune.js';\nimport { bad, err, ok, out, print } from '../utils/logger.js';\n\ninterface TrashTarget {\n rel: string;\n abs: string;\n reason: 'target' | 'source' | 'summary';\n}\n\ninterface PageChange {\n file: string;\n removedLines: string[];\n removedSources: string[];\n sourceCountBefore?: number;\n sourceCountAfter?: number;\n}\n\ninterface ReviewItem {\n file: string;\n section: 'Compiled Truth';\n text: string;\n}\n\ninterface RemovalPlan {\n input: string;\n apply: boolean;\n trashTargets: TrashTarget[];\n pageChanges: PageChange[];\n reviewItems: ReviewItem[];\n ingestRecords: string[];\n aliases: string[];\n snapshot?: string;\n syncSkippedVector?: boolean;\n vectorPruned?: number;\n lintIssues?: number;\n}\n\nfunction isUrl(input: string): boolean {\n return /^https?:\\/\\//i.test(input);\n}\n\nfunction toSlash(p: string): string {\n return p.split(sep).join('/');\n}\n\nfunction stripMd(rel: string): string {\n return rel.replace(/\\.md$/, '');\n}\n\nfunction normalizeRel(rel: string): string {\n return toSlash(rel).replace(/^\\.\\//, '').replace(/\\/+/g, '/');\n}\n\nfunction withinCorpus(corpus: string, abs: string): boolean {\n const rel = relative(corpus, abs);\n return rel === '' || (!rel.startsWith('..') && !isAbsolute(rel));\n}\n\nfunction resolveInputPath(corpus: string, input: string): string | null {\n const candidates = [];\n const rawAbs = isAbsolute(input) ? input : join(corpus, input);\n candidates.push(rawAbs);\n if (!input.endsWith('.md')) candidates.push(`${rawAbs}.md`);\n for (const candidate of candidates) {\n const abs = resolve(candidate);\n if (withinCorpus(corpus, abs) && existsSync(abs)) return abs;\n }\n return null;\n}\n\nfunction relFromAbs(corpus: string, abs: string): string {\n return normalizeRel(relative(corpus, abs));\n}\n\nfunction aliasesForRel(rel: string): string[] {\n const aliases = new Set<string>();\n const normalized = normalizeRel(rel);\n aliases.add(stripMd(normalized));\n if (normalized.endsWith('/article.md')) {\n aliases.add(stripMd(normalized).replace(/\\/article$/, ''));\n }\n return [...aliases];\n}\n\nfunction readText(abs: string): string {\n return readFileSync(abs, 'utf-8');\n}\n\nfunction extractWikilinks(content: string): string[] {\n const links: string[] = [];\n const linkRe = /\\[\\[([^\\]|#]+)[^\\]]*\\]\\]/g;\n let m: RegExpExecArray | null;\n while ((m = linkRe.exec(content)) !== null) links.push(m[1].trim());\n return links;\n}\n\nfunction addExistingTarget(\n corpus: string,\n targets: Map<string, TrashTarget>,\n relOrAbs: string,\n reason: TrashTarget['reason'],\n): void {\n const abs = isAbsolute(relOrAbs) ? relOrAbs : join(corpus, relOrAbs);\n if (!existsSync(abs)) return;\n const rel = relFromAbs(corpus, abs);\n targets.set(rel, { rel, abs, reason });\n}\n\nfunction addSourceTarget(\n corpus: string,\n targets: Map<string, TrashTarget>,\n relOrAbs: string,\n): void {\n const abs = isAbsolute(relOrAbs) ? relOrAbs : join(corpus, relOrAbs);\n if (!existsSync(abs)) return;\n\n const rel = relFromAbs(corpus, abs);\n if (rel.endsWith('/article.md')) {\n addExistingTarget(corpus, targets, dirname(abs), 'source');\n return;\n }\n\n addExistingTarget(corpus, targets, abs, 'source');\n\n if (rel.endsWith('.md')) {\n const assetsDir = abs.replace(/\\.md$/, '.assets');\n addExistingTarget(corpus, targets, assetsDir, 'source');\n }\n}\n\nfunction sourceCandidatesForSlug(corpus: string, slug: string): string[] {\n return [\n join(corpus, slug),\n join(corpus, `${slug}.md`),\n join(corpus, slug, 'article.md'),\n ];\n}\n\nfunction collectSourceUrls(corpus: string, targets: Map<string, TrashTarget>): string[] {\n const urls = new Set<string>();\n for (const target of targets.values()) {\n const files = existsSync(target.abs) && target.rel.endsWith('.md')\n ? [target.abs]\n : collectMdFiles(target.abs);\n for (const file of files) {\n const fm = extractFrontmatter(file);\n if (typeof fm.source_url === 'string') urls.add(fm.source_url);\n if (typeof fm.url === 'string') urls.add(fm.url);\n }\n }\n return [...urls];\n}\n\nfunction addSourcesFromSummary(\n corpus: string,\n targets: Map<string, TrashTarget>,\n summaryAbs: string,\n): void {\n const parsed = matter(readText(summaryAbs));\n const sources = Array.isArray(parsed.data.sources) ? parsed.data.sources : [];\n for (const source of sources) {\n if (typeof source !== 'string') continue;\n for (const candidate of sourceCandidatesForSlug(corpus, source)) {\n if (existsSync(candidate)) addSourceTarget(corpus, targets, candidate);\n }\n }\n\n for (const link of extractWikilinks(parsed.content)) {\n if (!link.startsWith('原料/')) continue;\n for (const candidate of sourceCandidatesForSlug(corpus, link)) {\n if (existsSync(candidate)) addSourceTarget(corpus, targets, candidate);\n }\n }\n}\n\nfunction addSummariesReferencingSources(\n corpus: string,\n targets: Map<string, TrashTarget>,\n aliases: Set<string>,\n): void {\n for (const file of collectMdFiles(join(corpus, '知识库', '摘要'))) {\n const rel = relFromAbs(corpus, file);\n if (targets.has(rel)) continue;\n const content = readText(file);\n if ([...aliases].some((alias) => content.includes(`[[${alias}`))) {\n addExistingTarget(corpus, targets, file, 'summary');\n addSourcesFromSummary(corpus, targets, file);\n }\n }\n}\n\nfunction compiledTruthSnippets(content: string, aliases: Set<string>, input: string): string[] {\n const body = content.replace(/^---\\n[\\s\\S]*?\\n---\\n/, '');\n const match = body.match(/##\\s*Compiled Truth\\s*\\n+([\\s\\S]*?)(?=\\n##\\s|$)/);\n if (!match) return [];\n return match[1]\n .split(/\\n{2,}/)\n .map((p) => p.trim())\n .filter((p) => {\n if (!p) return false;\n if (isUrl(input) && p.includes(input)) return true;\n return [...aliases].some((alias) => p.includes(`[[${alias}`));\n });\n}\n\nfunction rewritePageForRemoval(\n corpus: string,\n file: string,\n aliases: Set<string>,\n): { change: PageChange | null; nextContent: string } {\n const rel = relFromAbs(corpus, file);\n const parsed = matter(readText(file));\n const removedSources: string[] = [];\n let sourceCountBefore: number | undefined;\n let sourceCountAfter: number | undefined;\n\n if (Array.isArray(parsed.data.sources)) {\n const nextSources = parsed.data.sources.filter((source: unknown) => {\n if (typeof source !== 'string') return true;\n const remove = aliases.has(stripMd(normalizeRel(source)));\n if (remove) removedSources.push(source);\n return !remove;\n });\n if (removedSources.length > 0) {\n parsed.data.sources = nextSources;\n const rawCount = parsed.data.source_count;\n const numeric =\n typeof rawCount === 'number'\n ? rawCount\n : typeof rawCount === 'string'\n ? Number.parseInt(rawCount, 10)\n : Number.NaN;\n if (Number.isFinite(numeric)) {\n sourceCountBefore = numeric;\n sourceCountAfter = Math.max(0, numeric - new Set(removedSources).size);\n parsed.data.source_count = sourceCountAfter;\n }\n parsed.data.updated = todayYMDShanghai();\n }\n }\n\n const removedLines: string[] = [];\n const nextLines = parsed.content.split('\\n').filter((line) => {\n const trimmed = line.trim();\n const hasTargetLink = [...aliases].some((alias) => line.includes(`[[${alias}`));\n const removable = hasTargetLink && /^[-*]\\s+/.test(trimmed);\n if (removable) {\n removedLines.push(line);\n return false;\n }\n return true;\n });\n if (removedLines.length > 0) parsed.data.updated = todayYMDShanghai();\n\n const changed = removedLines.length > 0 || removedSources.length > 0;\n const nextContent = changed ? matter.stringify(nextLines.join('\\n'), parsed.data) : readText(file);\n\n return {\n nextContent,\n change: changed\n ? {\n file: rel,\n removedLines,\n removedSources,\n sourceCountBefore,\n sourceCountAfter,\n }\n : null,\n };\n}\n\nfunction buildRemovalPlan(corpus: string, input: string, apply: boolean): RemovalPlan {\n const targets = new Map<string, TrashTarget>();\n const ingestRecords = new Set<string>();\n\n if (isUrl(input)) {\n const state = loadIngestState(corpus);\n const record = state.ingests[input];\n ingestRecords.add(input);\n if (record?.archivedTo) addSourceTarget(corpus, targets, record.archivedTo);\n for (const page of record?.wikiPages ?? []) {\n if (normalizeRel(page).startsWith('知识库/摘要/')) {\n const pageAbs = join(corpus, page);\n addExistingTarget(corpus, targets, pageAbs, 'summary');\n if (existsSync(pageAbs)) addSourcesFromSummary(corpus, targets, pageAbs);\n }\n }\n const source = findSourceByUrl(corpus, input);\n if (source) addSourceTarget(corpus, targets, source);\n } else {\n const abs = resolveInputPath(corpus, input);\n if (!abs) throw new Error(`target not found inside corpus: ${input}`);\n const rel = relFromAbs(corpus, abs);\n if (rel.startsWith('原料/')) {\n addSourceTarget(corpus, targets, abs);\n } else if (rel.startsWith('知识库/摘要/')) {\n addExistingTarget(corpus, targets, abs, 'summary');\n addSourcesFromSummary(corpus, targets, abs);\n } else {\n addExistingTarget(corpus, targets, abs, 'target');\n }\n }\n\n let aliases = new Set([...targets.keys()].flatMap((rel) => aliasesForRel(rel)));\n addSummariesReferencingSources(corpus, targets, aliases);\n aliases = new Set([...targets.keys()].flatMap((rel) => aliasesForRel(rel)));\n\n for (const url of collectSourceUrls(corpus, targets)) ingestRecords.add(url);\n\n const trashedRels = new Set(targets.keys());\n const pageChanges: PageChange[] = [];\n const reviewItems: ReviewItem[] = [];\n for (const file of collectMdFiles(corpus)) {\n const rel = relFromAbs(corpus, file);\n if (trashedRels.has(rel)) continue;\n if ([...trashedRels].some((targetRel) => rel.startsWith(`${targetRel}/`))) continue;\n\n const { change } = rewritePageForRemoval(corpus, file, aliases);\n if (change) pageChanges.push(change);\n for (const text of compiledTruthSnippets(readText(file), aliases, input)) {\n reviewItems.push({ file: rel, section: 'Compiled Truth', text });\n }\n }\n\n return {\n input,\n apply,\n trashTargets: [...targets.values()].sort((a, b) => a.rel.localeCompare(b.rel)),\n pageChanges,\n reviewItems,\n ingestRecords: [...ingestRecords],\n aliases: [...aliases].sort(),\n };\n}\n\nasync function moveToTrash(paths: string[]): Promise<void> {\n const testTrashDir = process.env.LOREKIT_TEST_TRASH_DIR;\n if (testTrashDir) {\n mkdirSync(testTrashDir, { recursive: true });\n for (const p of paths) {\n if (!existsSync(p)) continue;\n const dest = join(testTrashDir, `${tsCompact()}-${basename(p)}`);\n renameSync(p, dest);\n }\n return;\n }\n await trash(paths, { glob: false });\n}\n\nfunction applyPageChanges(corpus: string, plan: RemovalPlan): void {\n const aliases = new Set(plan.aliases);\n for (const change of plan.pageChanges) {\n const file = join(corpus, change.file);\n const { nextContent } = rewritePageForRemoval(corpus, file, aliases);\n writeFileSync(file, nextContent, 'utf-8');\n }\n}\n\nfunction forgetIngestRecords(corpus: string, urls: string[]): void {\n if (urls.length === 0) return;\n const state = loadIngestState(corpus);\n let changed = false;\n for (const url of urls) {\n if (state.ingests[url]) {\n delete state.ingests[url];\n changed = true;\n }\n }\n if (changed) saveIngestState(corpus, state);\n}\n\nfunction printPlan(plan: RemovalPlan): void {\n print(`lorekit remove — ${plan.apply ? 'apply' : 'dry-run'}\\n`);\n\n print(`将移动到系统回收站 (${plan.trashTargets.length})`);\n for (const target of plan.trashTargets) {\n print(` - ${target.rel} (${target.reason})`);\n }\n if (plan.trashTargets.length === 0) print(' - （无）');\n print();\n\n print(`将修改页面 (${plan.pageChanges.length})`);\n for (const change of plan.pageChanges) {\n print(` - ${change.file}`);\n if (change.removedSources.length > 0) {\n print(` sources: -${change.removedSources.length}`);\n }\n if (change.sourceCountBefore !== undefined && change.sourceCountAfter !== undefined) {\n print(` source_count: ${change.sourceCountBefore} -> ${change.sourceCountAfter}`);\n }\n if (change.removedLines.length > 0) {\n print(` lines: -${change.removedLines.length}`);\n }\n }\n if (plan.pageChanges.length === 0) print(' - （无）');\n print();\n\n if (plan.reviewItems.length > 0) {\n print(`需人工复核 Compiled Truth (${plan.reviewItems.length})`);\n for (const item of plan.reviewItems) {\n print(` - ${item.file}: ${item.text.slice(0, 120)}`);\n }\n print();\n }\n\n if (!plan.apply) {\n print('dry-run only. Run again with --apply to move files to OS Trash.');\n }\n}\n\nexport function removeCommand(program: Command): void {\n program\n .command('remove')\n .argument('<target>', 'URL or corpus-relative path to remove')\n .option('--apply', 'execute the removal; default is dry-run', false)\n .option('--json', 'emit a machine-readable JSON report', false)\n .description('safely remove a source/wiki page and provenance-linked references')\n .action(async (target: string, opts: { apply?: boolean; json?: boolean }) => {\n const corpus = requireCorpus();\n let plan: RemovalPlan;\n try {\n plan = buildRemovalPlan(corpus, target, !!opts.apply);\n } catch (e) {\n err((e as Error).message);\n process.exitCode = 2;\n return;\n }\n\n if (!opts.json) printPlan(plan);\n if (opts.json && !opts.apply) out(JSON.stringify(plan));\n if (!opts.apply) return;\n\n if (plan.trashTargets.length === 0 && plan.pageChanges.length === 0) {\n bad('nothing to remove');\n process.exitCode = 1;\n if (opts.json) out(JSON.stringify(plan));\n return;\n }\n\n try {\n const snapshot = await createSnapshot(corpus, { tag: 'remove' });\n plan.snapshot = snapshot;\n ok(`snapshot saved: ${snapshot}`);\n\n applyPageChanges(corpus, plan);\n forgetIngestRecords(corpus, plan.ingestRecords);\n await moveToTrash(plan.trashTargets.map((t) => t.abs));\n ok(`moved ${plan.trashTargets.length} item(s) to OS Trash`);\n\n const hasVectorDb = existsSync(join(corpus, '.wiki', 'vector.sqlite'));\n if (hasVectorDb) {\n plan.vectorPruned = await pruneVectorDbMissingFiles(corpus);\n if (plan.vectorPruned > 0) ok(`vector pruned ${plan.vectorPruned} missing file(s)`);\n }\n\n const skipVector = !hasVectorDb || process.env.LOREKIT_TEST_SKIP_VECTOR_SYNC === '1';\n plan.syncSkippedVector = skipVector;\n await runSync(corpus, { skipVector });\n\n const issues = runLint(corpus);\n plan.lintIssues = issues.length;\n printLintReport(corpus, issues);\n } catch (e) {\n err((e as Error).message);\n process.exitCode = 1;\n }\n\n if (opts.json) out(JSON.stringify(plan));\n });\n}\n","import type { Command } from 'commander';\nimport { requireCorpus } from '../lib/corpus.js';\nimport {\n doctorGbrain,\n exportForGbrain,\n getGbrainStatus,\n queryGbrain,\n syncGbrain,\n} from '../lib/integrations/gbrain.js';\nimport { bad, info, ok, out, print, warn } from '../utils/logger.js';\n\nfunction printJson(result: unknown): void {\n out(JSON.stringify(result, null, 2));\n}\n\nexport function gbrainCommand(program: Command): void {\n const cmd = program\n .command('gbrain')\n .description('optional GBrain read-only integration');\n\n cmd\n .command('status')\n .description('check whether GBrain is installed')\n .option('--json', 'output json', false)\n .action(async (opts: { json?: boolean }) => {\n const result = await getGbrainStatus();\n if (opts.json) {\n printJson(result);\n return;\n }\n if (result.installed) {\n ok(`GBrain installed: ${result.version ?? result.binary}`);\n } else {\n warn('GBrain is not installed');\n print(result.installHint);\n }\n });\n\n cmd\n .command('export')\n .description('export lorekit 知识库/ pages into a GBrain-safe staging directory')\n .option('--out <dir>', 'export directory relative to corpus')\n .option('--dry-run', 'preview only; do not write files', false)\n .option('--json', 'output json', false)\n .action((opts: { out?: string; dryRun?: boolean; json?: boolean }) => {\n const corpus = requireCorpus();\n const result = exportForGbrain(corpus, { out: opts.out, dryRun: opts.dryRun });\n if (opts.json) {\n printJson(result);\n return;\n }\n if (result.dryRun) {\n info(`would export ${result.pagesExported} page(s) to ${result.exportDir}`);\n } else {\n ok(`exported ${result.pagesExported} page(s) to ${result.exportDir}`);\n }\n if (result.pagesSkipped > 0) warn(`skipped ${result.pagesSkipped} index file(s)`);\n for (const w of result.warnings) warn(w);\n });\n\n cmd\n .command('sync')\n .description('export lorekit pages and run gbrain import on the staging directory')\n .option('--dry-run', 'preview only; do not write export files or call gbrain import', false)\n .option('--json', 'output json', false)\n .option(\n '--export-even-if-missing',\n 'refresh staging export even when the gbrain binary is missing',\n false,\n )\n .action(async (opts: { dryRun?: boolean; json?: boolean; exportEvenIfMissing?: boolean }) => {\n const corpus = requireCorpus();\n const result = await syncGbrain(corpus, opts);\n if (opts.json) {\n printJson(result);\n } else if (result.status === 'ok') {\n if (result.dryRun) {\n info(`would export ${result.export?.pagesExported ?? 0} page(s); gbrain import skipped`);\n } else {\n ok(`gbrain sync complete: ${result.export?.pagesExported ?? 0} page(s) exported`);\n }\n } else {\n bad(`gbrain sync failed: ${result.errors.join('; ')}`);\n }\n process.exitCode = result.status === 'ok' ? 0 : 1;\n });\n\n cmd\n .command('doctor')\n .description('check GBrain integration health')\n .option('--json', 'output json', false)\n .action(async (opts: { json?: boolean }) => {\n const corpus = requireCorpus();\n const result = await doctorGbrain(corpus);\n if (opts.json) {\n printJson(result);\n } else {\n if (result.status === 'ok') ok('GBrain integration healthy');\n for (const issue of result.issues) {\n const line = `${issue.message}. ${issue.recommendation}`;\n if (issue.severity === 'error') bad(line);\n else warn(line);\n }\n }\n process.exitCode = result.status === 'error' ? 1 : 0;\n });\n\n cmd\n .command('query')\n .argument('<text>', 'query text')\n .description('run gbrain query without writing back to lorekit')\n .option('--json', 'output json', false)\n .option('--no-stale-check', 'skip corpus export/sync freshness guard')\n .action(async (text: string, opts: { json?: boolean; staleCheck?: boolean }) => {\n const corpus = requireCorpus();\n const result = await queryGbrain(corpus, text, { staleCheck: opts.staleCheck !== false });\n if (opts.json) {\n printJson(result);\n } else {\n info(result.message);\n for (const w of result.warnings) warn(w);\n if (result.gbrain?.stdout) print(result.gbrain.stdout.trim());\n if (result.gbrain?.stderr) warn(result.gbrain.stderr.trim());\n if (result.status === 'error') bad(result.errors.join('; '));\n }\n process.exitCode = result.status === 'ok' ? 0 : 1;\n 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\ No newline at end of file diff --git a/src/commands/search.ts b/src/commands/search.ts index e42f137..82369dd 100644 --- a/src/commands/search.ts +++ b/src/commands/search.ts @@ -30,10 +30,17 @@ function searchWithRipgrep( const result = spawnSync('rg', args, { encoding: 'utf-8', maxBuffer: 10 * 1024 * 1024, + // 30s 上限：规避恶意 / 退化 regex 在巨型 corpus 上拖垮 CLI（PR #5 review M3）。 + // ripgrep 正常扫几 GB markdown 也只要几秒，30s 是宽松值。 + timeout: 30_000, }); if (result.error) { - // rg not found + // rg 未安装 → 返回空让上层 fallback； + // 也可能是 timeout（result.signal === 'SIGTERM'），同样返回空 + 上层 fallback + if ((result as { signal?: string }).signal === 'SIGTERM') { + warn(`rg timed out after 30s, falling back to built-in scan`); + } return []; } diff --git a/src/lib/fetcher/http.ts b/src/lib/fetcher/http.ts index a9744b1..352e48f 100644 --- a/src/lib/fetcher/http.ts +++ b/src/lib/fetcher/http.ts @@ -6,8 +6,18 @@ * * 依赖关系：本文件不 import fetcher/helpers.ts 或 fetcher/images.ts，self-contained。 * `HTTP_TIMEOUT_MS` 同时被 fetcher/images.ts 引用（images→http 单向依赖）。 + * + * SSRF 防御（PR #5）： + * `fetchHtmlL1` 默认拒绝抓取解析到 RFC 1918 / RFC 6890 私网范围的目标， + * 并手动跟随 redirect（最多 5 跳）逐跳重检，避免 redirect-to-private-ip 绕过。 + * 用户可通过环境变量 `LOREKIT_FETCH_ALLOW_PRIVATE=1` opt-out（本地开发 / 自建 + * localhost wiki 场景）。注意：该检查仅作用于 fetcher，**不影响** `lib/ollama.ts` + * 的本地 localhost:11434 调用（那是另一个 import 路径，未经 http.ts）。 */ +import { lookup } from 'node:dns/promises'; +import { BlockList, isIP } from 'node:net'; + // --------------------------------------------------------------------------- // Constants // --------------------------------------------------------------------------- @@ -26,6 +36,11 @@ const UA_DESKTOP = */ export const HTTP_TIMEOUT_MS = 20_000; +/** + * 手动跟随 redirect 的最大跳数。超过即拒绝（防 redirect 循环 / SSRF 跳板）。 + */ +const MAX_REDIRECTS = 5; + const ANTIBOT_TRIGGERS = [ '环境异常', '请在微信客户端打开', @@ -34,6 +49,110 @@ const ANTIBOT_TRIGGERS = [ 'cf-browser-verification', ]; +// --------------------------------------------------------------------------- +// SSRF guard +// --------------------------------------------------------------------------- + +/** + * 私网 / 链路本地 / loopback 地址段。RFC 1918 / RFC 6890 / RFC 4193。 + * 与 `node:net.BlockList` 配合使用做 IP 归属判断。 + */ +const PRIVATE_BLOCKS = (() => { + const bl = new BlockList(); + // IPv4 RFC 1918 + loopback + link-local + bl.addSubnet('127.0.0.0', 8, 'ipv4'); + bl.addSubnet('10.0.0.0', 8, 'ipv4'); + bl.addSubnet('172.16.0.0', 12, 'ipv4'); + bl.addSubnet('192.168.0.0', 16, 'ipv4'); + bl.addSubnet('169.254.0.0', 16, 'ipv4'); + bl.addSubnet('0.0.0.0', 8, 'ipv4'); // 0.0.0.0/8 — "this network" + // IPv6 loopback + ULA + link-local + bl.addAddress('::1', 'ipv6'); + bl.addSubnet('fc00::', 7, 'ipv6'); + bl.addSubnet('fe80::', 10, 'ipv6'); + return bl; +})(); + +/** + * 由 SSRF guard 抛出的 sentinel error。调用方可用 `instanceof` 识别后短路 L2 + * fallback，把私网拒绝原因冒泡给用户（而不是被通用 catch 误判为 antibot）。 + */ +export class PrivateAddressError extends Error { + readonly code = 'SSRF_PRIVATE_ADDRESS'; + constructor( + message: string, + public readonly host: string, + public readonly address: string, + ) { + super(message); + this.name = 'PrivateAddressError'; + } +} + +function isPrivateOptOut(): boolean { + const v = process.env.LOREKIT_FETCH_ALLOW_PRIVATE; + return v === '1' || v === 'true'; +} + +/** + * 检查给定 host 的 DNS 解析结果是否落在私网范围。 + * - host 已经是 IP 字面量：直接判定 + * - 否则 `dns.lookup()` 拿 A/AAAA 记录后判定 + * + * 命中即抛 `PrivateAddressError`；未命中静默返回。 + * 若环境变量 `LOREKIT_FETCH_ALLOW_PRIVATE=1` 已设置，本函数直接跳过检查。 + */ +export async function assertPublicAddress(urlStr: string): Promise<void> { + if (isPrivateOptOut()) return; + + let parsed: URL; + try { + parsed = new URL(urlStr); + } catch { + // URL 无法解析交给上游 fetch 报错，不在 SSRF 层判 + return; + } + + // 仅检查 http(s)；其它 scheme（data:/file:）由上游决定是否拒绝 + if (parsed.protocol !== 'http:' && parsed.protocol !== 'https:') return; + + const rawHost = parsed.hostname; + // URL.hostname 对 IPv6 会带方括号 [::1]，去掉以匹配 isIP / dns.lookup + const host = rawHost.startsWith('[') && rawHost.endsWith(']') ? rawHost.slice(1, -1) : rawHost; + if (!host) return; + + const ipVersion = isIP(host); + if (ipVersion === 4 || ipVersion === 6) { + const family = ipVersion === 4 ? 'ipv4' : 'ipv6'; + if (PRIVATE_BLOCKS.check(host, family)) { + throw new PrivateAddressError( + `refusing to fetch private address ${host} (set LOREKIT_FETCH_ALLOW_PRIVATE=1 to override)`, + host, + host, + ); + } + return; + } + + // 普通域名 → DNS 解析 + let addr: { address: string; family: number }; + try { + addr = await lookup(host); + } catch { + // DNS 失败交给上游 fetch 报错（用户能看到更明确的 ENOTFOUND） + return; + } + const family = addr.family === 6 ? 'ipv6' : 'ipv4'; + if (PRIVATE_BLOCKS.check(addr.address, family)) { + throw new PrivateAddressError( + `refusing to fetch ${host} which resolves to private address ${addr.address} ` + + `(set LOREKIT_FETCH_ALLOW_PRIVATE=1 to override)`, + host, + addr.address, + ); + } +} + // --------------------------------------------------------------------------- // Site detection / headers // --------------------------------------------------------------------------- @@ -85,19 +204,55 @@ export function detectAntibot(html: string, site: string): boolean { /** * 用 Node 内置 fetch 拉 HTML，超时由 HTTP_TIMEOUT_MS 控制。 - * 失败抛 Error（HTTP 非 2xx 或 abort），由调用方决定是否走 L2 fallback。 + * + * 行为说明： + * - 默认拒绝私网（RFC 1918 / RFC 6890）目标；可由 `LOREKIT_FETCH_ALLOW_PRIVATE=1` + * 绕过（本地开发场景）。失败抛 `PrivateAddressError` + * - `redirect: 'manual'` 手动跟随，最多 `MAX_REDIRECTS=5` 跳，每跳前对目标 URL + * 重新做 SSRF 检查（避免公网 URL 通过 302 跳板进内网） + * - HTTP 非 2xx 或 abort 抛 `Error`，由调用方决定是否走 L2 fallback */ export async function fetchHtmlL1(url: string, headers: Record<string, string>): Promise<string> { const controller = new AbortController(); const timer = setTimeout(() => controller.abort(), HTTP_TIMEOUT_MS); try { - const res = await fetch(url, { - headers, - redirect: 'follow', - signal: controller.signal, - }); - if (!res.ok) throw new Error(`HTTP ${res.status}`); - return await res.text(); + let currentUrl = url; + for (let hop = 0; hop <= MAX_REDIRECTS; hop++) { + // 每跳前 SSRF 检查（首跳也查） + await assertPublicAddress(currentUrl); + + const res = await fetch(currentUrl, { + headers, + redirect: 'manual', + signal: controller.signal, + }); + + // 3xx with Location → 手动跟随 + if (res.status >= 300 && res.status < 400) { + const loc = res.headers.get('location'); + if (!loc) { + // 没有 Location header 的 3xx 当作错误返回 + throw new Error(`HTTP ${res.status} without Location header`); + } + if (hop === MAX_REDIRECTS) { + throw new Error(`too many redirects (>${MAX_REDIRECTS}) starting from ${url}`); + } + // 相对 URL 用 currentUrl 作 base 解析 + currentUrl = new URL(loc, currentUrl).toString(); + // 释放 body，避免连接泄漏 + try { + await res.arrayBuffer(); + } catch { + // 流式响应可能已 abort，吞掉 + } + continue; + } + + if (!res.ok) throw new Error(`HTTP ${res.status}`); + return await res.text(); + } + // 理论不可达：循环出口都在 return / throw + throw new Error(`unreachable: redirect loop exit ${url}`); } finally { clearTimeout(timer); } @@ -114,7 +269,7 @@ export async function fetchHtmlL1(url: string, headers: Record<string, string>): export async function fetchHtmlL2(url: string): Promise<string | null> { try { // Dynamic import — playwright-core is optional - // @ts-ignore — playwright-core may not be installed + // @ts-expect-error — playwright-core 是可选依赖，类型可能未安装 const pw = await import('playwright-core'); const browser = await pw.chromium.launch({ headless: true }); try { diff --git a/src/lib/fetcher/index.ts b/src/lib/fetcher/index.ts index 109d5c4..38b6298 100644 --- a/src/lib/fetcher/index.ts +++ b/src/lib/fetcher/index.ts @@ -30,6 +30,7 @@ import { detectSite, fetchHtmlL1, fetchHtmlL2, + PrivateAddressError, } from './http.js'; import { downloadImages, rewriteMarkdownImages } from './images.js'; import { parseGeneric } from './routes/web.js'; @@ -65,8 +66,21 @@ export async function fetchUrl(url: string, opts: FetchOptions): Promise<FetchRe if (detectAntibot(html, site)) { html = ''; } - } catch { - // L1 失败（HTTP 非 2xx / abort / 网络错误）→ 退 L2 fallback + } catch (e) { + // SSRF guard 拒绝时直接冒泡为 FetchResult error，不退 L2 fallback + // （L2 playwright 同样会被绕过 guard 命中私网，必须显式拒绝） + if (e instanceof PrivateAddressError) { + return { + status: 'error', + route: 'rich', + url, + reason: 'PRIVATE_ADDRESS_BLOCKED', + suggest: + `target resolves to private address ${e.address}. ` + + 'Set LOREKIT_FETCH_ALLOW_PRIVATE=1 to allow (local dev only).', + }; + } + // 其它 L1 失败（HTTP 非 2xx / abort / 网络错误）→ 退 L2 fallback html = ''; } diff --git a/tests/smoke/fetch-ssrf.test.mjs b/tests/smoke/fetch-ssrf.test.mjs new file mode 100644 index 0000000..09efe27 --- /dev/null +++ b/tests/smoke/fetch-ssrf.test.mjs @@ -0,0 +1,58 @@ +// fetch SSRF guard smoke（PR #5）。 +// +// 验证两条核心路径： +// 1. 默认配置下，`lorekit fetch http://127.0.0.1:<port>/x` 应被 SSRF guard 拒绝， +// 退出码非 0，输出（stdout 或 stderr）含 "private" / "PRIVATE_ADDRESS" 关键字 +// 2. 设置 `LOREKIT_FETCH_ALLOW_PRIVATE=1` opt-out 后，应能跨过 guard 进入实际网络请求， +// 然后因端口关闭（或 antibot 报错）失败 —— 失败原因**不应**是 PRIVATE_ADDRESS +// +// 注意：这里用 127.0.0.1 + 一个大概率没人监听的随机高位端口；fetch.ts 在 corpus 外 +// 跑也支持（会写到 /tmp/lorekit-fetch），方便从 REPO_ROOT 直接调用。 + +import { test } from 'node:test'; +import assert from 'node:assert/strict'; +import { runLorekit, mkTmpDir, cleanupTmpDir, fmtRun } from './_util.mjs'; + +// 用一个大概率空闲的高位端口（动态 / 临时端口范围），避免误中真实服务 +const UNUSED_PORT = 59387; +const PRIVATE_URL = `http://127.0.0.1:${UNUSED_PORT}/lorekit-ssrf-smoke`; + +test('SSRF guard 默认拒绝抓取 127.0.0.1（私网）目标', () => { + const tmp = mkTmpDir('lorekit-smoke-ssrf-deny-'); + try { + const args = ['fetch', PRIVATE_URL]; + const r = runLorekit(args, { cwd: tmp }); + assert.notEqual(r.status, 0, fmtRun(r, args, 'exit != 0 (private 被拒)')); + // stdout 走 JSON（含 reason: PRIVATE_ADDRESS_BLOCKED），stderr 可能有补充提示 + const combined = `${r.stdout}\n${r.stderr}`; + assert.match( + combined, + /private|PRIVATE_ADDRESS/i, + fmtRun(r, args, 'output 含 "private" / "PRIVATE_ADDRESS"'), + ); + } finally { + cleanupTmpDir(tmp); + } +}); + +test('SSRF guard 在 LOREKIT_FETCH_ALLOW_PRIVATE=1 时放行（仍会因端口不通而失败，但理由不再是 private）', () => { + const tmp = mkTmpDir('lorekit-smoke-ssrf-allow-'); + try { + const args = ['fetch', PRIVATE_URL]; + const r = runLorekit(args, { + cwd: tmp, + env: { LOREKIT_FETCH_ALLOW_PRIVATE: '1' }, + }); + // 端口空闲 → ECONNREFUSED → fetcher 走 L2（playwright 缺也返回 null）→ ANTIBOT_BLOCKED + // 总之 exit 非 0，但失败 reason 不应是 PRIVATE_ADDRESS_BLOCKED + assert.notEqual(r.status, 0, fmtRun(r, args, 'exit != 0 (端口拒绝)')); + const combined = `${r.stdout}\n${r.stderr}`; + assert.doesNotMatch( + combined, + /PRIVATE_ADDRESS_BLOCKED/, + fmtRun(r, args, 'output 不含 "PRIVATE_ADDRESS_BLOCKED"（opt-out 应已放行）'), + ); + } finally { + cleanupTmpDir(tmp); + } +});